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Meta CEO Mark Zuckerberg has admitted that the company's large-scale AI restructuring included mistakes, months after thousands of employees lost their jobs or were moved into new roles. In an internal memo seen by Reuters, Zuckerberg told staff that Meta's transition towards becoming an AI-first company had not been perfect. He said the company would likely make more mistakes as it continues adapting to rapid technological change, but stressed that Meta is trying to provide stability for employees.&nbsp;The comments come after one of the biggest organisational changes in the company's recent history.<h2>Why Meta cut 8,000 jobs</h2>Earlier this year, Meta laid off around 10 per cent of its workforce, affecting roughly 8,000 employees. The company also reassigned about 7,000 workers to AI-related projects and workflows as part of a wider effort to reorganise around artificial intelligence.At the end of March, Meta employed nearly 78,000 people globally. Reports suggest that the combined layoffs and workforce reshuffling may have directly affected around one-fifth of the company's employees.The restructuring is part of Zuckerberg's broader strategy to position Meta as a leading AI company.<h2>Zuckerberg admits the transition has not been smooth</h2>In the memo, Zuckerberg acknowledged the difficulties involved in such a large transformation. "Given the complexity of these changes, we've made mistakes and will almost certainly make more," he told employees. The admission offers a rare glimpse into the challenges facing major technology firms as they race to integrate AI across products, services and internal operations. Meta has invested billions of dollars into AI infrastructure, advanced models, computing capacity and specialised talent. The company is also exploring AI agents that could automate tasks traditionally handled by human employees. While executives argue that AI will unlock new opportunities, the transition has also created uncertainty for workers across the technology sector.<h2>No more company-wide layoffs expected this year</h2>Alongside acknowledging mistakes, Zuckerberg attempted to reassure employees about their future at the company. According to the memo, Meta does not currently expect any additional company-wide layoffs this year.However, he stopped short of making firm guarantees."I don't want to overpromise because the world is changing in ways that are out of our control," Zuckerberg said.He added that Meta would continue looking for opportunities for employees who had been reassigned to help train and support AI systems.<h2>Meta's next step: More AI and more collaboration</h2>The company appears determined to continue its AI transformation despite the challenges. Zuckerberg said creating new AI-focused roles had given Meta greater flexibility. It allowed the company to reduce the size of some teams while retaining the ability to move employees back into different positions if needed.To improve morale and collaboration, Meta plans to increase spending on team-building activities, company events and offsite gatherings.The company is also preparing a large hackathon in July aimed at encouraging employees from different teams to work together on new AI projects and products.<h2>What this means for the wider tech industry</h2>Meta's experience highlights a growing reality across Silicon Valley. Technology companies are investing heavily in artificial intelligence while simultaneously reshaping their workforces. Some roles are disappearing, others are changing and entirely new positions are being created. Zuckerberg's admission suggests that even the world's biggest technology firms are still working out how best to navigate the AI transition. For employees, investors and competitors, Meta's next moves may offer an important indication of how AI will reshape the future workplace.

Mark Zuckerberg has admitted Meta made mistakes during its AI-led restructuring after laying off around 8,000 employees and reassigning thousands more. The CEO says no further company-wide layoffs are expected this year as Meta continues its push to become an AI-first company.


Meta CEO Mark Zuckerberg has admitted that the company's large-scale AI restructuring included mistakes, months after thousands of employees lost their jobs or were moved into new roles. In an internal memo seen by Reuters, Zuckerberg told staff that Meta's transition towards becoming an AI-first company had not been perfect. He said the company would likely make more mistakes as it continues adapting to rapid technological change, but stressed that Meta is trying to provide stability for employees. The comments come after one of the biggest organisational changes in the company's recent history. Why Meta cut 8,000 jobs Earlier this year, Meta laid off around 10 per cent of its workforce, affecting roughly 8,000 employees. The company also reassigned about 7,000 workers to AI-related projects and workflows as part of a wider effort to reorganise around artificial intelligence. At the end of March, Meta employed nearly 78,000 people globally. Reports suggest that the combined layoffs and workforce reshuffling may have directly affected around one-fifth of the company's employees. The restructuring is part of Zuckerberg's broader strategy to position Meta as a leading AI company. Zuckerberg admits the transition has not been smooth In the memo, Zuckerberg acknowledged the difficulties involved in such a large transformation. "Given the complexity of these changes, we've made mistakes and will almost certainly make more," he told employees. The admission offers a rare glimpse into the challenges facing major technology firms as they race to integrate AI across products, services and internal operations. Meta has invested billions of dollars into AI infrastructure, advanced models, computing capacity and specialised talent. The company is also exploring AI agents that could automate tasks traditionally handled by human employees. While executives argue that AI will unlock new opportunities, the transition has also created uncertainty for workers across the technology sector. No more company-wide layoffs expected this year Alongside acknowledging mistakes, Zuckerberg attempted to reassure employees about their future at the company. According to the memo, Meta does not currently expect any additional company-wide layoffs this year. However, he stopped short of making firm guarantees. "I don't want to overpromise because the world is changing in ways that are out of our control," Zuckerberg said. He added that Meta would continue looking for opportunities for employees who had been reassigned to help train and support AI systems. Meta's next step: More AI and more collaboration The company appears determined to continue its AI transformation despite the challenges. Zuckerberg said creating new AI-focused roles had given Meta greater flexibility. It allowed the company to reduce the size of some teams while retaining the ability to move employees back into different positions if needed. To improve morale and collaboration, Meta plans to increase spending on team-building activities, company events and offsite gatherings. The company is also preparing a large hackathon in July aimed at encouraging employees from different teams to work together on new AI projects and products. What this means for the wider tech industry Meta's experience highlights a growing reality across Silicon Valley. Technology companies are investing heavily in artificial intelligence while simultaneously reshaping their workforces. Some roles are disappearing, others are changing and entirely new positions are being created. Zuckerberg's admission suggests that even the world's biggest technology firms are still working out how best to navigate the AI transition. For employees, investors and competitors, Meta's next moves may offer an important indication of how AI will reshape the future workplace.

Mark Zuckerberg has admitted Meta made mistakes during its AI-led restructuring after laying off around 8,000 employees and reassigning thousands more. The CEO says no further company-wide layoffs are expected this year as Meta continues its push to become an AI-first company.

Zuckerberg admits errors in Meta's AI transition, says no more company-wide layoffs are expected this year

The US government, citing national security authorities, has directed Anthropic to suspend access to the Fable 5 and Mythos 5 by any foreign nationals, both within and outside the US territory. The direct implication of the order is that Anthorpic blocked access to the Fable 5 and Mythos 5 to all on Friday evening."Our understanding is that the government believes it has become aware of a method of bypassing, or 'jailbreaking' Fable 5, " said Anthropic in a statement. The company now finds itself on the Pentagon's blacklist, deemed too dangerous for its own use as well as foreign use. The US Commerce Secretary, Howard Lutnick, sent a letter to Anthropic CEO Dario Amodei, saying that the model should remain locked down until the US National Security apparatus is hardened, which could take up to a few weeks.According to the letter from the Commerce Department, Anthropic would in future require a license to export, re-export and domestic transfer of those Anthropic models. Furthermore, Anthropic will also be required to provide individually validated licenses; otherwise, it might face civil and financial penalties.Also Read: <a href="https://www.wionews.com/world/iran-araghchi-us-iran-mou-strategic-victory-24-billion-funds-1781331748593">Araghchi says Iran won the war, claims US ready to unlock $24 billion</a><h2>What is "jailbreaking"?</h2>Anthropic's newly developed frontier “AI models” have been reported to have reached a level of capability that poses a catastrophic risk to public and national security. These models can possibly find loopholes in sophisticated software codebases and generate weaponised exploits; they can perform recursive self-improvement without human oversight, and disclose information synthesising dangerous pathogens or biological weapons. So Anthropic “instituted strong safeguards that greatly reduce the likelihood that Fable is misused for tasks related to cybersecurity (among others)”, jailbreaking is the possibility of bypassing those safeguards.&nbsp;“We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly available models are able to discover them as well without requiring a bypass,” read Anthropic's statement. It claims that no tester has been able to provide a “universal jailbreak”, something that can broadly bypass all the safeguards and unblock a wide range of cyber capabilities. It also asserts that perfect jailbreak resistance is not available. Some minor vulnerabilities are likely to remain.

The US government has ordered Anthropic to restrict access to Fable 5 and Mythos 5 after concerns over AI jailbreaking and potential national security risks. Here's what jailbreaking means.

The US government, citing national security authorities, has directed Anthropic to suspend access to the Fable 5 and Mythos 5 by any foreign nationals, both within and outside the US territory. The direct implication of the order is that Anthorpic blocked access to the Fable 5 and Mythos 5 to all on Friday evening. "Our understanding is that the government believes it has become aware of a method of bypassing, or 'jailbreaking' Fable 5, " said Anthropic in a statement. The company now finds itself on the Pentagon's blacklist, deemed too dangerous for its own use as well as foreign use. The US Commerce Secretary, Howard Lutnick, sent a letter to Anthropic CEO Dario Amodei, saying that the model should remain locked down until the US National Security apparatus is hardened, which could take up to a few weeks. According to the letter from the Commerce Department, Anthropic would in future require a license to export, re-export and domestic transfer of those Anthropic models. Furthermore, Anthropic will also be required to provide individually validated licenses; otherwise, it might face civil and financial penalties. Also Read: Araghchi says Iran won the war, claims US ready to unlock $24 billion What is "jailbreaking"? Anthropic's newly developed frontier “AI models” have been reported to have reached a level of capability that poses a catastrophic risk to public and national security. These models can possibly find loopholes in sophisticated software codebases and generate weaponised exploits; they can perform recursive self-improvement without human oversight, and disclose information synthesising dangerous pathogens or biological weapons. So Anthropic “instituted strong safeguards that greatly reduce the likelihood that Fable is misused for tasks related to cybersecurity (among others)”, jailbreaking is the possibility of bypassing those safeguards. “We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly available models are able to discover them as well without requiring a bypass,” read Anthropic's statement. It claims that no tester has been able to provide a “universal jailbreak”, something that can broadly bypass all the safeguards and unblock a wide range of cyber capabilities. It also asserts that perfect jailbreak resistance is not available. Some minor vulnerabilities are likely to remain.

The US government has ordered Anthropic to restrict access to Fable 5 and Mythos 5 after concerns over AI jailbreaking and potential national security risks. Here's what jailbreaking means.

US locks down Anthropic's most powerful AI after alarming jailbreak warning

India is experiencing a massive transformation in the drone industry and its related components. From Defence and Surveillance to Smart Agriculture and instant deliveries, drone technology is increasingly becoming essential rather than optional as it undergoes a rapid structural shift. In 2026, India's drone industry is creating new career paths, business opportunities, and technological breakthroughs along with rapid expansion. After the Ministry of Civil Aviation liberalised the drone rules and the Rs 120-crore Production Linked Incentive (PLI) scheme, the domestic drone market is estimated to reach a valuation of $13 billion by 2030. Previous market attention was focused on simple assembly, but now the investors have shifted toward deep-tech startups pioneering indigenous core technologies. Earlier, Indian drone and its components manufactures were operated largely as aggregators, relying completely on global navigation satellite system (GNSS) receivers, imported flight controllers and motor electronic speed controllers. As a result, it created severe supply-chain vulnerabilities, especially for defence procurement. Currently, multiple tech startups, including drones, are successfully manufacturing complex and critical components that widely cover their battery, energy storage systems, battery management technologies and testing infrastructure, making it purely an indigenous technology. Kajal Shah, Co-founder and CEO of Dreamfly Innovations, said the country's drone revolution is creating opportunities across the broader technology value chain. "At Dreamfly Innovations, we believe India's drone revolution is creating a much larger opportunity than drones alone. The real value will be created by companies building the critical technologies that power these platforms—advanced batteries, power electronics, propulsion systems, and other mission-critical subsystems. As defence and commercial drone deployments scale, these enabling technologies will become strategic assets for the country. Our focus has always been on building world-class energy systems for aerospace and defence applications. We see a significant opportunity for Indian deep-tech startups to create globally competitive products in areas where performance, reliability, and engineering excellence matter most. The next generation of industry leaders will be the companies that own and innovate within these core technology layers."&nbsp;Also read: <a href="https://www.wionews.com/india-news/india-s-2-billion-drone-push-why-batteries-could-be-biggest-winner-in-defence-tech-boom-1781254273226">India's $2 billion drone push: Why batteries could be biggest winner in defence-tech boom</a><h3>The battery acts as critical component</h3>Industry experts also believe that drones always capture more attention, making the technology that powers and supports these platforms increasingly important as both military and commercial applications expand. Among these components, battery systems are emerging as a critical component, directly influencing drone performance, endurance and operational effectiveness. Saurabh Markandeya, Co-founder and CTO of Dreamfly Innovations, said battery technology will play a defining role in the future development of the sector. "From our perspective at Dreamfly, batteries are one of the most important technologies underpinning the future of drones. Flight endurance, payload capacity, operational safety, and mission reliability are all fundamentally linked to the quality of the energy system. As drone applications become more sophisticated, battery performance is increasingly becoming a key differentiator rather than just a supporting component," he said. "We see a tremendous opportunity for India to build leadership in advanced battery technologies, intelligent battery management systems, thermal safety, and aerospace-grade manufacturing. The startups developing these capabilities today are not simply supplying components—they are creating the technological foundation required for India's long-term leadership in drones, aerospace, and defence. The stronger India's battery ecosystem becomes, the stronger its drone ecosystem will be," Markandeya added.&nbsp;

Industry experts also believe that drones always capture more attention, making the technology that powers and supports these platforms increasingly important as both military and commercial applications expand. 

India is experiencing a massive transformation in the drone industry and its related components. From Defence and Surveillance to Smart Agriculture and instant deliveries, drone technology is increasingly becoming essential rather than optional as it undergoes a rapid structural shift. In 2026, India's drone industry is creating new career paths, business opportunities, and technological breakthroughs along with rapid expansion. After the Ministry of Civil Aviation liberalised the drone rules and the Rs 120-crore Production Linked Incentive (PLI) scheme, the domestic drone market is estimated to reach a valuation of $13 billion by 2030. Previous market attention was focused on simple assembly, but now the investors have shifted toward deep-tech startups pioneering indigenous core technologies. Earlier, Indian drone and its components manufactures were operated largely as aggregators, relying completely on global navigation satellite system (GNSS) receivers, imported flight controllers and motor electronic speed controllers. As a result, it created severe supply-chain vulnerabilities, especially for defence procurement. Currently, multiple tech startups, including drones, are successfully manufacturing complex and critical components that widely cover their battery, energy storage systems, battery management technologies and testing infrastructure, making it purely an indigenous technology. Kajal Shah, Co-founder and CEO of Dreamfly Innovations, said the country's drone revolution is creating opportunities across the broader technology value chain. "At Dreamfly Innovations, we believe India's drone revolution is creating a much larger opportunity than drones alone. The real value will be created by companies building the critical technologies that power these platforms—advanced batteries, power electronics, propulsion systems, and other mission-critical subsystems. As defence and commercial drone deployments scale, these enabling technologies will become strategic assets for the country. Our focus has always been on building world-class energy systems for aerospace and defence applications. We see a significant opportunity for Indian deep-tech startups to create globally competitive products in areas where performance, reliability, and engineering excellence matter most. The next generation of industry leaders will be the companies that own and innovate within these core technology layers." Also read: India's $2 billion drone push: Why batteries could be biggest winner in defence-tech boom The battery acts as critical component Industry experts also believe that drones always capture more attention, making the technology that powers and supports these platforms increasingly important as both military and commercial applications expand. Among these components, battery systems are emerging as a critical component, directly influencing drone performance, endurance and operational effectiveness. Saurabh Markandeya, Co-founder and CTO of Dreamfly Innovations, said battery technology will play a defining role in the future development of the sector. "From our perspective at Dreamfly, batteries are one of the most important technologies underpinning the future of drones. Flight endurance, payload capacity, operational safety, and mission reliability are all fundamentally linked to the quality of the energy system. As drone applications become more sophisticated, battery performance is increasingly becoming a key differentiator rather than just a supporting component," he said. "We see a tremendous opportunity for India to build leadership in advanced battery technologies, intelligent battery management systems, thermal safety, and aerospace-grade manufacturing. The startups developing these capabilities today are not simply supplying components—they are creating the technological foundation required for India's long-term leadership in drones, aerospace, and defence. The stronger India's battery ecosystem becomes, the stronger its drone ecosystem will be," Markandeya added.

Industry experts also believe that drones always capture more attention, making the technology that powers and supports these platforms increasingly important as both military and commercial applications expand.&nbsp;

Billion-dollar opportunity behind India's drone revolution: A look at startups building core technologies

India's defence system is going through a massive paradigm shift as it is likely to order over $2 billion worth of military drones from domestic firms, marking the biggest such purchase. The move comes after global and regional conflicts have boosted demand for high-tech defence equipment. The proposal is at an advanced stage, with deliveries expected to be completed within the next 18 to 24 months. While mainstream attention on defence deals is completely on high-profile drone manufacturers and aircraft startups, the true rush is taking place quietly in the components used to manufacture this technology. Among all critical components, battery technology is becoming the strategic winner in advancing defence technology. The proposed acquisition also includes energy storage systems, battery management technologies and testing infrastructure. An expert indicated that batteries are emerging as a key player in the modern drone operations, directly influencing flight timing, payload capacity, operational reliability and mission readiness. "India's planned $2 billion drone procurement is not just a boost for drone manufacturers—it is a catalyst for the entire defence technology supply chain. Batteries are emerging as one of the most critical technologies in modern unmanned systems because they directly determine flight endurance, mission reliability, payload capability, and operational readiness. As drones become integral to surveillance, logistics, precision strike, and autonomous operations, the demand for high-performance, safe, and mission-critical energy systems will grow exponentially," Kajal Shah, Co-founder &amp; CEO, Dreamfly Innovations. "For India to build a truly self-reliant drone ecosystem, the country must also develop indigenous capabilities in advanced battery systems, battery management electronics, testing infrastructure, and energy storage technologies. We believe the next phase of India's defence-tech growth will be driven by companies that can deliver reliable energy platforms capable of meeting military-grade performance standards at scale," She added. Other experts also observed that India's focus on self-reliance in defence manufacturing is increasingly moving beyond platforms and hardware to include the technology that powers the drones, missiles or components used in aircraft. Highlighting the importance of this critical equipment in defence applications, Saurabh Markandeya, Co-founder and CTO of Dreamfly Innovations, said, "Every major shift in defence technology has been enabled by advancements in energy systems. Today's drone revolution is no different. While drones often capture the headlines, batteries are the invisible technology that powers every mission. Whether it is a surveillance drone operating in high-altitude environments, a logistics platform carrying critical supplies, or a tactical system deployed in demanding battlefield conditions, performance ultimately depends on the quality and reliability of the energy system onboard." Experts also believe that the demand for high-performance batteries capable of performing under any conditions will continue to rise as drones become central to surveillance, logistics, reconnaissance and tactical operations. The decision of the government to make deals with Indian manufacturers is also likely to benefit the domestic clean-energy and battery ecosystem, making the country self-reliance on this sector.&nbsp;Also read: <a href="https://www.wionews.com/india-news/why-india-may-need-russian-su-57s-before-its-indigenous-amca-project-takes-flight-wion-decodes-1780666620969">Why India may need Russian Su-57s before its indigenous AMCA project takes flight? WION decodes</a><h3>Drones are an indispensable part of warfare</h3>Commenting on the development, Saurabh Jain, CExO Energy Storage at GEON, Green Energy On, said, "India’s recent procurement of more than US$2 billion worth of military drones from local manufacturers is indeed an important move towards ensuring greater security for the nation. With drones becoming an indispensable part of warfare and security missions, there is no doubt that the technologies used to power the drones will need equal attention. Batteries and energy technologies will be crucial in the success of drone technology." "This move by the government to procure drones from Indian manufacturers is indicative of its determination to ensure the self-sufficiency of the nation in its technology production and thereby enhancing its defence capabilities. This will be of immense benefit to India as it would give a boost to the indigenous technology industry of the nation," he added.&nbsp;Labelling the batteries as the engine of the drones, Udyut Goyal, Head, Business Development, AmpereHour Energy, highlighted that the component directly influences the flight time of the drones, their recharge cycles, payload capacity, and operational capacity, helping the drones to deliver effectiveness.&nbsp;“Drones play a critical role in India’s defence-tech system, where they are viewed through the lens of airframes and software, but no matter how advanced a drone is, it is imperative to remember that ultimately, its engine is the battery. India invests a lot in its defence technology, so for the optimal use and operational efficiency of drones, we have to ensure a reliable battery system powers them. Batteries directly influence the flight time of the drones, their recharge cycles, payload capacity, and operational capacity, which helps us determine the mission’s effectiveness. Batteries are not just a supporting technology here, but they are, in fact, a strategic component,” he said.&nbsp;“With the growth of drone deployment in defence applications, there will be an increase in the demand for high-performance, lightweight, durable, and domestically developed energy storage solutions. This will allow India to make more innovations and strengthen its capabilities in the battery value chain and be less dependent on imported critical technologies. Beyond defence, too, India will benefit across various sectors such as electric mobility, renewable energy integration, and industrial energy storage. &nbsp;India’s drone push isn’t just a catalyst for defence-tech’s growth, but also for the development of a stronger, more self-reliant energy technology ecosystem, ” Goyal added. India has over 600 companies manufacturing drones along with their components, with more than 100 focused on defence applications. The large players for these technologies include companies like Adani Group, Larsen &amp; Toubro and Tata Advanced Systems, to startups like Dreamfly Innovations, ideaForge, Newspace Research and Asteria Aerospace. They focus on building reconnaissance, loitering munitions, logistics, precision-strike and critical component systems. In addition, the defence ministry has also opened more areas of procurement to startups and private firms, which has eased the testing process and pushed the armed forces to add systems through repeat and interim orders that allow these firms to refine their products rapidly. The best part is that, along with a breakthrough in a drone's battery, the development directly accelerates innovations in Commercial logistics and agricultural drones, Electric vehicles (EVs) and Renewable energy storage systems (BESS).

Drone battery technology is becoming the strategic winner in advancing defence technology. The proposed acquisition of military drones also includes energy storage systems, battery management technologies and testing infrastructure.

India's defence system is going through a massive paradigm shift as it is likely to order over $2 billion worth of military drones from domestic firms, marking the biggest such purchase. The move comes after global and regional conflicts have boosted demand for high-tech defence equipment. The proposal is at an advanced stage, with deliveries expected to be completed within the next 18 to 24 months. While mainstream attention on defence deals is completely on high-profile drone manufacturers and aircraft startups, the true rush is taking place quietly in the components used to manufacture this technology. Among all critical components, battery technology is becoming the strategic winner in advancing defence technology. The proposed acquisition also includes energy storage systems, battery management technologies and testing infrastructure. An expert indicated that batteries are emerging as a key player in the modern drone operations, directly influencing flight timing, payload capacity, operational reliability and mission readiness. "India's planned $2 billion drone procurement is not just a boost for drone manufacturers—it is a catalyst for the entire defence technology supply chain. Batteries are emerging as one of the most critical technologies in modern unmanned systems because they directly determine flight endurance, mission reliability, payload capability, and operational readiness. As drones become integral to surveillance, logistics, precision strike, and autonomous operations, the demand for high-performance, safe, and mission-critical energy systems will grow exponentially," Kajal Shah, Co-founder & CEO, Dreamfly Innovations. "For India to build a truly self-reliant drone ecosystem, the country must also develop indigenous capabilities in advanced battery systems, battery management electronics, testing infrastructure, and energy storage technologies. We believe the next phase of India's defence-tech growth will be driven by companies that can deliver reliable energy platforms capable of meeting military-grade performance standards at scale," She added. Other experts also observed that India's focus on self-reliance in defence manufacturing is increasingly moving beyond platforms and hardware to include the technology that powers the drones, missiles or components used in aircraft. Highlighting the importance of this critical equipment in defence applications, Saurabh Markandeya, Co-founder and CTO of Dreamfly Innovations, said, "Every major shift in defence technology has been enabled by advancements in energy systems. Today's drone revolution is no different. While drones often capture the headlines, batteries are the invisible technology that powers every mission. Whether it is a surveillance drone operating in high-altitude environments, a logistics platform carrying critical supplies, or a tactical system deployed in demanding battlefield conditions, performance ultimately depends on the quality and reliability of the energy system onboard." Experts also believe that the demand for high-performance batteries capable of performing under any conditions will continue to rise as drones become central to surveillance, logistics, reconnaissance and tactical operations. The decision of the government to make deals with Indian manufacturers is also likely to benefit the domestic clean-energy and battery ecosystem, making the country self-reliance on this sector. Also read: Why India may need Russian Su-57s before its indigenous AMCA project takes flight? WION decodes Drones are an indispensable part of warfare Commenting on the development, Saurabh Jain, CExO Energy Storage at GEON, Green Energy On, said, "India’s recent procurement of more than US$2 billion worth of military drones from local manufacturers is indeed an important move towards ensuring greater security for the nation. With drones becoming an indispensable part of warfare and security missions, there is no doubt that the technologies used to power the drones will need equal attention. Batteries and energy technologies will be crucial in the success of drone technology." "This move by the government to procure drones from Indian manufacturers is indicative of its determination to ensure the self-sufficiency of the nation in its technology production and thereby enhancing its defence capabilities. This will be of immense benefit to India as it would give a boost to the indigenous technology industry of the nation," he added. Labelling the batteries as the engine of the drones, Udyut Goyal, Head, Business Development, AmpereHour Energy, highlighted that the component directly influences the flight time of the drones, their recharge cycles, payload capacity, and operational capacity, helping the drones to deliver effectiveness. “Drones play a critical role in India’s defence-tech system, where they are viewed through the lens of airframes and software, but no matter how advanced a drone is, it is imperative to remember that ultimately, its engine is the battery. India invests a lot in its defence technology, so for the optimal use and operational efficiency of drones, we have to ensure a reliable battery system powers them. Batteries directly influence the flight time of the drones, their recharge cycles, payload capacity, and operational capacity, which helps us determine the mission’s effectiveness. Batteries are not just a supporting technology here, but they are, in fact, a strategic component,” he said. “With the growth of drone deployment in defence applications, there will be an increase in the demand for high-performance, lightweight, durable, and domestically developed energy storage solutions. This will allow India to make more innovations and strengthen its capabilities in the battery value chain and be less dependent on imported critical technologies. Beyond defence, too, India will benefit across various sectors such as electric mobility, renewable energy integration, and industrial energy storage. India’s drone push isn’t just a catalyst for defence-tech’s growth, but also for the development of a stronger, more self-reliant energy technology ecosystem, ” Goyal added. India has over 600 companies manufacturing drones along with their components, with more than 100 focused on defence applications. The large players for these technologies include companies like Adani Group, Larsen & Toubro and Tata Advanced Systems, to startups like Dreamfly Innovations, ideaForge, Newspace Research and Asteria Aerospace. They focus on building reconnaissance, loitering munitions, logistics, precision-strike and critical component systems. In addition, the defence ministry has also opened more areas of procurement to startups and private firms, which has eased the testing process and pushed the armed forces to add systems through repeat and interim orders that allow these firms to refine their products rapidly. The best part is that, along with a breakthrough in a drone's battery, the development directly accelerates innovations in Commercial logistics and agricultural drones, Electric vehicles (EVs) and Renewable energy storage systems (BESS).

Drone battery technology is becoming the strategic winner in advancing defence technology. The proposed acquisition of military drones also includes energy storage systems, battery management technologies and testing infrastructure.

India's $2 billion drone push: Why batteries could be biggest winner in defence-tech boom

When people think about artificial intelligence, they often imagine software engineers, data scientists and computer programmers. But according to Google and other technology giants, the future of AI depends just as much on plumbers, electricians, welders and construction workers.Google has announced a $50 million investment in skilled-trades training programmes across the United States. The initiative aims to prepare workers for jobs that are becoming increasingly important as companies race to build the infrastructure needed to support artificial intelligence.The announcement comes just days after Meta unveiled a $250 million programme focused on training workers for data centre construction jobs. Together, the investments highlight a growing reality: the AI boom is creating demand far beyond Silicon Valley.&nbsp;

<blockquote class="twitter-tweet">America’s digital economy relies on our physical infrastructure and the electricians, pipefitters, welders, manufacturing workers &amp; more who build and maintain it. Today, we’re making an additional <a href="https://x.com/Googleorg?ref_src=twsrc%5Etfw">@googleorg</a> commitment to help 300K American workers prepare for these in-demand…&mdash; Sundar Pichai (@sundarpichai) <a href="https://x.com/sundarpichai/status/2065110608090161375?ref_src=twsrc%5Etfw">June 11, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Why AI companies suddenly need blue-collar workers</h2>The rapid growth of artificial intelligence has triggered a global race to build data centres, power facilities and digital infrastructure. Every advanced AI model requires enormous computing power. Behind every chatbot, AI assistant or image generator sits a vast network of servers operating inside large data centres.Building those facilities requires much more than software. Electricians are needed to install and maintain power systems. Plumbers and pipe fitters help build cooling systems that prevent servers from overheating. Welders and construction workers are required to construct the buildings themselves.Without these workers, many AI projects simply cannot move forward.As Google CEO Sundar Pichai noted while announcing the programme, skilled trades will play a critical role in building the infrastructure needed for the next generation of technology.A worker shortage is becoming a major problem. The construction industry is already struggling to find enough workers.According to the Associated Builders and Contractors (ABC), the United States construction sector will need around 349,000 additional workers this year to meet demand. That demand is being fuelled by several trends at once, including AI data centre construction, energy projects, semiconductor manufacturing and broader infrastructure development. Industry experts say the shortage has become one of the biggest obstacles to future growth."The constraint on growth isn't hiring more engineers. It's building physical infrastructure," Tulane University business professor Rob Lalka said while discussing the issue. His comments highlight an important shift in the AI conversation. While much attention remains focused on software development, the physical systems that power AI are becoming equally important.<h2>What jobs will Google's programme support?</h2>Google says the funding will support training programmes focused on occupations critical to AI and energy infrastructure. These include electricians, plumbers, pipe fitters, welders, construction workers and other skilled trades. Some partnerships with training organisations are already underway, according to the company. The goal is to help create a larger workforce capable of supporting the growing number of data centres and energy projects being developed across the country.For many workers, these jobs offer an alternative pathway into the technology economy without requiring a university degree in computer science.<h2>Why data centres are driving demand</h2>The AI industry is currently investing hundreds of billions of dollars in new infrastructure. Companies including Google, Meta, Microsoft, Amazon, Oracle and OpenAI are expanding data centre capacity to support increasingly powerful AI systems. Modern AI models require huge amounts of computing power for both training and daily operations. That means companies must continue building new facilities equipped with advanced chips, networking equipment and cooling systems.Each new data centre creates demand for skilled trades workers long before software engineers begin using the infrastructure. This is one reason why technology companies are becoming more directly involved in workforce training programmes.<h2>Meta, Microsoft and Oracle are making similar moves</h2>Google is not alone. Meta recently announced a $250 million programme aimed at preparing workers for data centre construction projects. Earlier this year, Microsoft and Oracle also expanded workforce initiatives focused on supporting AI infrastructure growth. The growing number of programmes suggests that labour shortages are becoming a concern across the technology sector. Companies appear increasingly aware that future AI growth may depend not only on breakthroughs in software but also on having enough people available to build and maintain physical infrastructure.<h2>The AI boom is creating new opportunities</h2>The rise of artificial intelligence is often discussed in terms of automation and job displacement. However, the latest investments from Google and other technology companies highlight another side of the story. Building AI systems is creating demand for thousands of skilled workers across construction, energy and infrastructure sectors. For electricians, plumbers, welders and construction professionals, the AI boom may provide new career opportunities that did not exist just a few years ago. As technology companies continue investing in data centres and power infrastructure, these workers could become some of the most important people behind the next generation of artificial intelligence. The message from Google and its rivals is becoming increasingly clear: AI may run on software, but it is built by people working far beyond the walls of Silicon Valley.

Google is investing $50 million to train electricians, plumbers, welders and construction workers as AI fuels a massive data centre boom. The future of artificial intelligence depends on skilled workers building the infrastructure behind it.

When people think about artificial intelligence, they often imagine software engineers, data scientists and computer programmers. But according to Google and other technology giants, the future of AI depends just as much on plumbers, electricians, welders and construction workers. Google has announced a $50 million investment in skilled-trades training programmes across the United States. The initiative aims to prepare workers for jobs that are becoming increasingly important as companies race to build the infrastructure needed to support artificial intelligence. The announcement comes just days after Meta unveiled a $250 million programme focused on training workers for data centre construction jobs. Together, the investments highlight a growing reality: the AI boom is creating demand far beyond Silicon Valley.

Google is investing $50 million to train electricians, plumbers, welders and construction workers as AI fuels a massive data centre boom. The future of artificial intelligence depends on skilled workers building the infrastructure behind it.

Google's latest AI investment isn't in software, it's in construction workers: Here's why it's investing in blue-collar workers

Two months ago, Anthropic warned that its most advanced artificial intelligence system, Claude Mythos Preview, was too powerful and potentially too risky for a public release. The company argued that the model's ability to identify software vulnerabilities and analyse complex systems raised serious cybersecurity concerns. As a result, access was restricted to a small group of trusted organisations, including government agencies, cybersecurity firms and operators of critical infrastructure.Now, Anthropic has taken a different approach. The company has launched Claude Fable 5, a publicly available AI model built on the same Mythos-class technology. The move has sparked an important question: if Mythos was considered too dangerous in April, what changed by June?<h2>What made Mythos different from other AI models?</h2>According to Anthropic, Mythos represents a major leap in AI capabilities. The model was designed to understand large software systems, analyse code, identify security flaws and solve complex technical problems with very limited human guidance. Anthropic previously described it as a "step change" in capability compared to its earlier models.The company's internal testing suggested that Mythos could uncover severe vulnerabilities across major operating systems and web browsers. In one case, Anthropic said the model helped identify a security issue that had reportedly remained undiscovered for nearly 30 years. While these capabilities could help security researchers strengthen software systems, they also raised concerns. Anthropic feared that malicious actors could potentially use the technology to identify weaknesses in critical infrastructure, financial networks and other important systems.That risk led the company to keep the model away from the general public and limit access through its Project Glasswing initiative.<h2>What did security experts find?</h2>Concerns about Mythos were not limited to Anthropic itself. Earlier this year, the UK's AI Security Institute evaluated Claude Mythos Preview and found a significant increase in cybersecurity capabilities compared to previous AI models. According to the assessment, the model successfully solved around 73 per cent of expert-level cybersecurity challenges in controlled benchmark tests.These tests involved complex capture-the-flag style challenges designed to simulate real-world cyber problems. Researchers noted that Mythos showed stronger reasoning, planning and problem-solving abilities across difficult tasks. Unlike earlier models, which often struggled as challenges became more advanced, Mythos maintained relatively strong performance throughout. Those results helped fuel concerns among policymakers and cybersecurity experts about how such systems could be used if released without restrictions.<h2>So why did Anthropic launch Fable 5?</h2>The answer lies in safety controls rather than changes to the underlying technology. According to Anthropic, Claude Fable 5 uses the same Mythos-class foundation model but adds a series of safeguards designed to prevent users from accessing the most sensitive capabilities. When users ask questions involving high-risk areas such as cybersecurity, biological research or other potentially dangerous topics, the system automatically redirects those requests to Claude Opus 4.8, a less capable but safer model.Anthropic said these protections were deliberately designed to be conservative. In some cases, harmless requests may also be blocked. However, the company estimates that the safeguards activate in fewer than five per cent of user sessions on average. The goal is to allow users to benefit from the model's advanced reasoning and productivity features while limiting access to its most powerful capabilities.<h2>How did Anthropic test the model?</h2>Before releasing Fable 5, Anthropic says it carried out extensive testing. The company subjected the model to internal evaluations, red-team exercises and external adversarial testing designed to uncover weaknesses in its safety systems. These tests attempted to bypass the model's restrictions and access sensitive capabilities through various techniques.According to Anthropic, the results gave the company confidence that Fable 5 could be made available to the public while maintaining acceptable safety standards. At the same time, Anthropic acknowledges that AI safety remains an evolving challenge. The company says it plans to continue improving its safeguards as future models become even more capable.<h2>What is Mythos 5 and who can use it?</h2>While Fable 5 is available to a wider audience, Anthropic is also releasing a more advanced version called Mythos 5. Unlike Fable 5, Mythos 5 is being offered only to a small group of approved organisations, including cybersecurity specialists, infrastructure providers and selected institutions working closely with governments. In some cases, the additional safeguards used in Fable 5 are relaxed to allow researchers to perform advanced security work.This approach allows Anthropic to continue supporting critical security research while limiting broader access to potentially sensitive capabilities.<h2>What does this mean for the future of AI?</h2>The launch of Fable 5 highlights a growing challenge facing the AI industry. Companies are developing increasingly powerful systems capable of coding, reasoning, research and technical analysis. At the same time, those capabilities can introduce new risks if they fall into the wrong hands. Anthropic's solution appears to be a layered approach: release powerful AI models to the public, but surround them with safety controls that limit access to higher-risk functions. Whether this model becomes an industry standard remains to be seen. However, Fable 5 may offer an early glimpse of how future frontier AI systems are deployed powerful enough to help millions of users, but carefully restricted when it comes to capabilities that could create security risks.For now, Anthropic believes that balance allows it to make Mythos-class technology available to the public without exposing the most concerning parts of the system

Anthropic has launched Claude Fable 5, bringing Mythos-class AI to the public with strict safety guardrails. The model delivers advanced coding, reasoning and analysis capabilities while limiting access to high-risk areas such as cybersecurity and biology.


Two months ago, Anthropic warned that its most advanced artificial intelligence system, Claude Mythos Preview, was too powerful and potentially too risky for a public release. The company argued that the model's ability to identify software vulnerabilities and analyse complex systems raised serious cybersecurity concerns. As a result, access was restricted to a small group of trusted organisations, including government agencies, cybersecurity firms and operators of critical infrastructure. Now, Anthropic has taken a different approach. The company has launched Claude Fable 5, a publicly available AI model built on the same Mythos-class technology. The move has sparked an important question: if Mythos was considered too dangerous in April, what changed by June? What made Mythos different from other AI models? According to Anthropic, Mythos represents a major leap in AI capabilities. The model was designed to understand large software systems, analyse code, identify security flaws and solve complex technical problems with very limited human guidance. Anthropic previously described it as a "step change" in capability compared to its earlier models. The company's internal testing suggested that Mythos could uncover severe vulnerabilities across major operating systems and web browsers. In one case, Anthropic said the model helped identify a security issue that had reportedly remained undiscovered for nearly 30 years. While these capabilities could help security researchers strengthen software systems, they also raised concerns. Anthropic feared that malicious actors could potentially use the technology to identify weaknesses in critical infrastructure, financial networks and other important systems. That risk led the company to keep the model away from the general public and limit access through its Project Glasswing initiative. What did security experts find? Concerns about Mythos were not limited to Anthropic itself. Earlier this year, the UK's AI Security Institute evaluated Claude Mythos Preview and found a significant increase in cybersecurity capabilities compared to previous AI models. According to the assessment, the model successfully solved around 73 per cent of expert-level cybersecurity challenges in controlled benchmark tests. These tests involved complex capture-the-flag style challenges designed to simulate real-world cyber problems. Researchers noted that Mythos showed stronger reasoning, planning and problem-solving abilities across difficult tasks. Unlike earlier models, which often struggled as challenges became more advanced, Mythos maintained relatively strong performance throughout. Those results helped fuel concerns among policymakers and cybersecurity experts about how such systems could be used if released without restrictions. So why did Anthropic launch Fable 5? The answer lies in safety controls rather than changes to the underlying technology. According to Anthropic, Claude Fable 5 uses the same Mythos-class foundation model but adds a series of safeguards designed to prevent users from accessing the most sensitive capabilities. When users ask questions involving high-risk areas such as cybersecurity, biological research or other potentially dangerous topics, the system automatically redirects those requests to Claude Opus 4.8, a less capable but safer model. Anthropic said these protections were deliberately designed to be conservative. In some cases, harmless requests may also be blocked. However, the company estimates that the safeguards activate in fewer than five per cent of user sessions on average. The goal is to allow users to benefit from the model's advanced reasoning and productivity features while limiting access to its most powerful capabilities. How did Anthropic test the model? Before releasing Fable 5, Anthropic says it carried out extensive testing. The company subjected the model to internal evaluations, red-team exercises and external adversarial testing designed to uncover weaknesses in its safety systems. These tests attempted to bypass the model's restrictions and access sensitive capabilities through various techniques. According to Anthropic, the results gave the company confidence that Fable 5 could be made available to the public while maintaining acceptable safety standards. At the same time, Anthropic acknowledges that AI safety remains an evolving challenge. The company says it plans to continue improving its safeguards as future models become even more capable. What is Mythos 5 and who can use it? While Fable 5 is available to a wider audience, Anthropic is also releasing a more advanced version called Mythos 5. Unlike Fable 5, Mythos 5 is being offered only to a small group of approved organisations, including cybersecurity specialists, infrastructure providers and selected institutions working closely with governments. In some cases, the additional safeguards used in Fable 5 are relaxed to allow researchers to perform advanced security work. This approach allows Anthropic to continue supporting critical security research while limiting broader access to potentially sensitive capabilities. What does this mean for the future of AI? The launch of Fable 5 highlights a growing challenge facing the AI industry. Companies are developing increasingly powerful systems capable of coding, reasoning, research and technical analysis. At the same time, those capabilities can introduce new risks if they fall into the wrong hands. Anthropic's solution appears to be a layered approach: release powerful AI models to the public, but surround them with safety controls that limit access to higher-risk functions. Whether this model becomes an industry standard remains to be seen. However, Fable 5 may offer an early glimpse of how future frontier AI systems are deployed powerful enough to help millions of users, but carefully restricted when it comes to capabilities that could create security risks. For now, Anthropic believes that balance allows it to make Mythos-class technology available to the public without exposing the most concerning parts of the system

Anthropic has launched Claude Fable 5, bringing Mythos-class AI to the public with strict safety guardrails. The model delivers advanced coding, reasoning and analysis capabilities while limiting access to high-risk areas such as cybersecurity and biology.

‘Despite safety concerns’: Why is Anthropic’s ‘dangerous’ Mythos AI now available to the public through Claude Fable 5?

The FIFA World Cup has always been a showcase of football's greatest moments. In 2026, however, it could also become a showcase of the future itself. As FIFA prepares for the biggest World Cup in history, technology is moving to the center of the fan experience. Through a combination of artificial intelligence, realistic 3D player avatars, immersive AR and VR experiences, advanced analytics, and next-generation broadcasting, FIFA 2026 is aiming to deliver what many are calling the most technologically advanced football tournament ever staged.<h2>What is happening?</h2>At the heart of this transformation are AI-powered 3D digital player models. Every one of the tournament's 1,248 players is expected to have a highly accurate digital avatar created using advanced body scanning and motion-capture technologies. These lifelike models will not only enhance broadcasts but also help explain key moments in matches with unprecedented clarity. For fans, this means controversial VAR decisions could become easier to understand. Instead of relying solely on traditional camera angles, viewers may see realistic 3D recreations of offside calls, fouls, and tactical movements from multiple perspectives. The result is greater transparency, improved trust in officiating decisions, and a richer understanding of the game.&nbsp;Another breakthrough comes through immersive viewing experiences. FIFA is exploring AI-enhanced referee body-camera footage that allows supporters to witness the action from a first-person perspective. Imagine watching a crucial goal, a dramatic save, or a heated match-winning moment through the eyes of the referee standing just metres away from the action. Such experiences have the potential to make fans feel as though they are physically present on the pitch.&nbsp;Also Read: <a href="https://www.wionews.com/sports/iran-confirms-us-travel-plan-ahead-of-fifa-world-cup-2026-opener-amid-visa-dispute-1781026522584">Iran confirms US travel plan ahead of FIFA World Cup 2026 opener amid visa dispute</a>&nbsp;The innovation extends beyond match coverage. Enhanced stadium presentations featuring 360-degree pre-match ceremonies, digital visual effects, and synchronised experiences are expected to create a more engaging atmosphere for both in-stadium audiences and viewers around the world. The line between physical attendance and digital participation continues to blur. Artificial intelligence will also unlock a new era of football analytics.&nbsp;<h2>How will the technology help the football fans?</h2>Through FIFA's Football AI Pro platform, supporters will gain access to advanced insights, player tracking data, and sophisticated 3D visualisations that were previously available primarily to coaches, analysts, and elite teams. Fans will be able to explore tactical patterns, player performance metrics, and key match trends in ways that deepen their connection to the sport.&nbsp;These developments arrive at a time when audience behavior is rapidly evolving. Younger fans increasingly consume sports through digital platforms, mobile devices, and social media rather than traditional television broadcasts. With many members of Generation Z seeking interactive, personalized, and immersive content, FIFA's technological transformation reflects broader changes in how sports are experienced globally.&nbsp;The FIFA 2026 World Cup therefore, represents more than just a football tournament. It is a look into the future of sports entertainment, where artificial intelligence, immersive media, and real-time data combine to create deeper emotional connections between fans and the game they love. If successful, FIFA 2026 will not simply be remembered for the goals scored or the trophies lifted. It may be remembered as the moment football entered a new digital era, one where fans are no longer just spectators, but active participants in the world's biggest sporting event.<h2>How to watch and stream FIFA World Cup 2026 in India</h2>You can watch FIFA 2026 on Zee’s new Unite8 Sports network (Unite8 Sports 1, Unite8 Sports 1 HD, Unite8 Sports 2, and Unite8 Sports 2 HD). Multiple group-stage matches taking place simultaneously will be aired across the four channels with English and Hindi feeds. All games will also be streamed live on the Zee5 app and website.Link: <a href="https://www.zee5.com/">https://www.zee5.com/</a>

See how FIFA World Cup 2026 will transform fan engagement through AI-powered 3D player avatars, immersive AR/VR experiences, referee-view broadcasts, advanced analytics, and next-generation football technology

The FIFA World Cup has always been a showcase of football's greatest moments. In 2026, however, it could also become a showcase of the future itself. As FIFA prepares for the biggest World Cup in history, technology is moving to the center of the fan experience. Through a combination of artificial intelligence, realistic 3D player avatars, immersive AR and VR experiences, advanced analytics, and next-generation broadcasting, FIFA 2026 is aiming to deliver what many are calling the most technologically advanced football tournament ever staged. What is happening? At the heart of this transformation are AI-powered 3D digital player models. Every one of the tournament's 1,248 players is expected to have a highly accurate digital avatar created using advanced body scanning and motion-capture technologies. These lifelike models will not only enhance broadcasts but also help explain key moments in matches with unprecedented clarity. For fans, this means controversial VAR decisions could become easier to understand. Instead of relying solely on traditional camera angles, viewers may see realistic 3D recreations of offside calls, fouls, and tactical movements from multiple perspectives. The result is greater transparency, improved trust in officiating decisions, and a richer understanding of the game. Another breakthrough comes through immersive viewing experiences. FIFA is exploring AI-enhanced referee body-camera footage that allows supporters to witness the action from a first-person perspective. Imagine watching a crucial goal, a dramatic save, or a heated match-winning moment through the eyes of the referee standing just metres away from the action. Such experiences have the potential to make fans feel as though they are physically present on the pitch. Also Read: Iran confirms US travel plan ahead of FIFA World Cup 2026 opener amid visa dispute The innovation extends beyond match coverage. Enhanced stadium presentations featuring 360-degree pre-match ceremonies, digital visual effects, and synchronised experiences are expected to create a more engaging atmosphere for both in-stadium audiences and viewers around the world. The line between physical attendance and digital participation continues to blur. Artificial intelligence will also unlock a new era of football analytics. How will the technology help the football fans? Through FIFA's Football AI Pro platform, supporters will gain access to advanced insights, player tracking data, and sophisticated 3D visualisations that were previously available primarily to coaches, analysts, and elite teams. Fans will be able to explore tactical patterns, player performance metrics, and key match trends in ways that deepen their connection to the sport. These developments arrive at a time when audience behavior is rapidly evolving. Younger fans increasingly consume sports through digital platforms, mobile devices, and social media rather than traditional television broadcasts. With many members of Generation Z seeking interactive, personalized, and immersive content, FIFA's technological transformation reflects broader changes in how sports are experienced globally. The FIFA 2026 World Cup therefore, represents more than just a football tournament. It is a look into the future of sports entertainment, where artificial intelligence, immersive media, and real-time data combine to create deeper emotional connections between fans and the game they love. If successful, FIFA 2026 will not simply be remembered for the goals scored or the trophies lifted. It may be remembered as the moment football entered a new digital era, one where fans are no longer just spectators, but active participants in the world's biggest sporting event. How to watch and stream FIFA World Cup 2026 in India You can watch FIFA 2026 on Zee’s new Unite8 Sports network (Unite8 Sports 1, Unite8 Sports 1 HD, Unite8 Sports 2, and Unite8 Sports 2 HD). Multiple group-stage matches taking place simultaneously will be aired across the four channels with English and Hindi feeds. All games will also be streamed live on the Zee5 app and website. Link: https://www.zee5.com/

FIFA World Cup 2026 will introduce AI-powered 3D player avatars, immersive AR/VR viewing, referee-perspective broadcasts, and advanced analytics, redefining how fans experience football

Inside FIFA World Cup 2026: How AI, 3D player models and virtual reality will revolutionise football viewing

Scientists have come up with an ingenious plan to protect our planet Earth from dangerous solar storms. They want to spray chemicals around the rock we call home. This, they suggest, could help deflect the brunt of the Sun's dangerous charged particles. The ambitious plan was developed by a team of researchers from Boston University and the University of Michigan, and the research was published in <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025SW004846">Space Weather</a>.<h2>Solar storms and Earth</h2>For decades, humanity's strategy for dealing with dangerous solar storms has been simple: predict them and prepare for the fallout. But the new scientific proposal suggests that future generations may be able to do something far more ambitious: actively strengthen Earth's natural defences before space weather strikes. But how would it happen? All we know.Also read | <a href="https://www.wionews.com/world/in-trump-s-america-more-babies-behind-bars-than-ever-before-report-reveals-horrifying-10-fold-rise-in-ice-detentions-of-infants-1781070307893">More babies behind bars than ever before? Report reveals 10-fold surge in ICE detentions under Trump</a><h2>Enter StormWall</h2>A team led by Brian Walsh of Boston University and consisting of D. T. Welling and Z. Huang of the University of Michigan has unveiled a concept called StormWall, a planetary-scale defence system designed to reinforce Earth's magnetosphere, the invisible magnetic shield that protects the planet from charged particles emitted by the Sun.The idea, detailed through computer simulations, aims to reduce the impact of severe geomagnetic storms that can disrupt satellites, GPS navigation, communications networks and power grids. According to the researchers, the system could cut the intensity of a major solar storm by more than half.The threat stems from a process known as magnetic reconnection. During powerful solar eruptions, magnetic fields carried by the solar wind can temporarily link with Earth's magnetic field, creating a pathway through which vast amounts of solar energy enter near-Earth space. The resulting geomagnetic storms have the potential to cause widespread technological disruptions. StormWall seeks to interfere with that process.Also read | <a href="https://www.wionews.com/world/what-is-the-tower-of-babel-and-why-did-pope-leo-warn-about-it-while-talking-about-ai-wion-decodes-1779790151646">Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI?</a><h2>But how will StormWall do that?</h2>According to research published in <a href="https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2025SW004846">Space Weather</a>, scientists have proposed sending a fleet of six spacecraft to geosynchronous orbit. This fleet would make up the StormWall.When a dangerous solar storm is detected, the satellites would release specially selected materials such as barium, lithium, sodium or calcium. Once exposed to sunlight, the material would become ionised, creating a cloud of plasma.That artificial plasma would drift toward the sun-facing edge of the magnetosphere, effectively thickening the boundary that separates Earth from the incoming solar wind. By adding mass to this region, researchers believe the efficiency of magnetic reconnection could be significantly reduced.<h2>Have they tested it?</h2>To test the concept, the team simulated the powerful Mother's Day geomagnetic storm of May 2024. Their results suggested that while StormWall would not eliminate a storm entirely, it could reduce its strength by more than 50 per cent.The proposal remains theoretical and would require substantial investment. The spacecraft would collectively have to carry material equivalent to roughly a dozen oil trucks, and each deployment would be a one-time use. "If you built it, if it was deployed, it would help all people on the planet," said lead researcher Walsh in a statement. "You couldn't make it in a way that helped only one country, one group of satellites."

Researchers from Boston University have proposed StormWall, a spacecraft-based system that would release ionised materials into space to strengthen Earth's magnetosphere and reduce the impact of solar storms.

Scientists have come up with an ingenious plan to protect our planet Earth from dangerous solar storms. They want to spray chemicals around the rock we call home. This, they suggest, could help deflect the brunt of the Sun's dangerous charged particles. The ambitious plan was developed by a team of researchers from Boston University and the University of Michigan, and the research was published in Space Weather. Solar storms and Earth For decades, humanity's strategy for dealing with dangerous solar storms has been simple: predict them and prepare for the fallout. But the new scientific proposal suggests that future generations may be able to do something far more ambitious: actively strengthen Earth's natural defences before space weather strikes. But how would it happen? All we know. Also read | More babies behind bars than ever before? Report reveals 10-fold surge in ICE detentions under Trump Enter StormWall A team led by Brian Walsh of Boston University and consisting of D. T. Welling and Z. Huang of the University of Michigan has unveiled a concept called StormWall, a planetary-scale defence system designed to reinforce Earth's magnetosphere, the invisible magnetic shield that protects the planet from charged particles emitted by the Sun. The idea, detailed through computer simulations, aims to reduce the impact of severe geomagnetic storms that can disrupt satellites, GPS navigation, communications networks and power grids. According to the researchers, the system could cut the intensity of a major solar storm by more than half. The threat stems from a process known as magnetic reconnection. During powerful solar eruptions, magnetic fields carried by the solar wind can temporarily link with Earth's magnetic field, creating a pathway through which vast amounts of solar energy enter near-Earth space. The resulting geomagnetic storms have the potential to cause widespread technological disruptions. StormWall seeks to interfere with that process. Also read | Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI? But how will StormWall do that? According to research published in Space Weather, scientists have proposed sending a fleet of six spacecraft to geosynchronous orbit. This fleet would make up the StormWall. When a dangerous solar storm is detected, the satellites would release specially selected materials such as barium, lithium, sodium or calcium. Once exposed to sunlight, the material would become ionised, creating a cloud of plasma. That artificial plasma would drift toward the sun-facing edge of the magnetosphere, effectively thickening the boundary that separates Earth from the incoming solar wind. By adding mass to this region, researchers believe the efficiency of magnetic reconnection could be significantly reduced. Have they tested it? To test the concept, the team simulated the powerful Mother's Day geomagnetic storm of May 2024. Their results suggested that while StormWall would not eliminate a storm entirely, it could reduce its strength by more than 50 per cent. The proposal remains theoretical and would require substantial investment. The spacecraft would collectively have to carry material equivalent to roughly a dozen oil trucks, and each deployment would be a one-time use. "If you built it, if it was deployed, it would help all people on the planet," said lead researcher Walsh in a statement. "You couldn't make it in a way that helped only one country, one group of satellites."

What if humanity could weaken a solar storm before it strikes Earth? Scientists have unveiled StormWall, a radical proposal involving six spacecraft that would ‘spray’ chemicals around Earth to reduce the impact of dangerous space weather. Here's how it would work.

Could chemicals sprayed around Earth stop dangerous solar storms? New study suggests it might

The US Navy used a little-known military technology to rescue two US Army helicopter crew members in the waters near the Strait of Hormuz. This, according to reports, may be the first known US use of an unmanned military vessel to recover personnel at sea. The US military has publicly confirmed that US Navy Corsair, an unmanned naval vessel, commonly known as a sea drone, was used to locate and rescue personnel in a real-world operation. Here's all you need to know about the groundbreaking technology.<h2>US rescues Apache helicopter pilots from Strait of Hormuz</h2>Two US pilots had to be rescued after their AH-64 Apache helicopter crashed while patrolling regional waters near Oman. Blaming Iran for the attack, the US carried out "proportional" strikes against Iran on Tuesday (Jun 9). "The mission is a proportional response to unjustified Iranian aggression," said US Central Command (CENTCOM).According to CENTCOM, the two crew members spent nearly two hours in the water before being located and rescued by a US Navy autonomous vessel. Corsair, a 24-foot-long autonomous surface vessel, aka a sea drone, manufactured by Texas-based defence company Saronic Technologies, was used for the rescue.Also read | <a href="https://www.wionews.com/world/what-is-the-tower-of-babel-and-why-did-pope-leo-warn-about-it-while-talking-about-ai-wion-decodes-1779790151646">Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI?</a><h2>What exactly is a sea drone?</h2>Sea drones are unmanned vessels that operate on the water's surface or beneath it without carrying a human crew on board. Similar to aerial drones, they can be controlled remotely or operate autonomously using sensors, cameras, artificial intelligence and satellite communications.The United States has increasingly invested in these systems as part of a broader effort to modernise its military and reduce risks to personnel in dangerous environments.<h2>Who operates the US Navy Corsair?</h2>The rescue vessel belonged to Task Force 59, a Bahrain-based US Navy unit established in 2021. It is the first American naval formation dedicated exclusively to integrating unmanned systems into maritime operations.Task Force 59 began deploying Corsair vessels across the Middle East earlier this year as tensions in regional waterways intensified.Also read | <a href="https://www.wionews.com/world/pam-bondi-throws-todd-blanche-under-the-bus-blames-trump-s-new-doj-chief-pick-for-epstein-files-fiasco-1780644454937">'He was in charge': Pam Bondi REVEALS who was really behind the botched Epstein files release</a><h2>What can these sea drones do?</h2>The US Navy Corsair is capable of carrying up to 1,000 pounds (453.5kg) over 1,000 nautical miles with a top speed of 35 knots. While the latest mission involved a rescue operation, sea drones are designed for a much wider range of tasks. They can monitor shipping lanes, track suspicious vessels, conduct surveillance, detect naval mines and gather intelligence in areas where sending crewed ships may be risky or costly.Some military planners also envision future versions carrying weapons or supporting combat missions alongside conventional warships.<h2>Have sea drones been used in combat?</h2>To date, the US has largely used them for surveillance and maritime security; however, recent conflicts have demonstrated their offensive potential.Earlier, Ukrainian forces were reported to have used unmanned boats to damage Russian warships, disrupt naval operations and even reportedly bring down a helicopter. The successful rescue near the Strait of Hormuz marks another milestone in the technology's evolution.&nbsp;

The US Navy used its autonomous Corsair sea drone to rescue two Apache helicopter crew members after a crash near the Strait of Hormuz. Here's how the technology works and why it matters.

The US Navy used a little-known military technology to rescue two US Army helicopter crew members in the waters near the Strait of Hormuz. This, according to reports, may be the first known US use of an unmanned military vessel to recover personnel at sea. The US military has publicly confirmed that US Navy Corsair, an unmanned naval vessel, commonly known as a sea drone, was used to locate and rescue personnel in a real-world operation. Here's all you need to know about the groundbreaking technology. US rescues Apache helicopter pilots from Strait of Hormuz Two US pilots had to be rescued after their AH-64 Apache helicopter crashed while patrolling regional waters near Oman. Blaming Iran for the attack, the US carried out "proportional" strikes against Iran on Tuesday (Jun 9). "The mission is a proportional response to unjustified Iranian aggression," said US Central Command (CENTCOM). According to CENTCOM, the two crew members spent nearly two hours in the water before being located and rescued by a US Navy autonomous vessel. Corsair, a 24-foot-long autonomous surface vessel, aka a sea drone, manufactured by Texas-based defence company Saronic Technologies, was used for the rescue. Also read | Pope Leo warns humanity risks repeating ancient mistake: What is the Tower of Babel and what does it have to do with AI? What exactly is a sea drone? Sea drones are unmanned vessels that operate on the water's surface or beneath it without carrying a human crew on board. Similar to aerial drones, they can be controlled remotely or operate autonomously using sensors, cameras, artificial intelligence and satellite communications. The United States has increasingly invested in these systems as part of a broader effort to modernise its military and reduce risks to personnel in dangerous environments. Who operates the US Navy Corsair? The rescue vessel belonged to Task Force 59, a Bahrain-based US Navy unit established in 2021. It is the first American naval formation dedicated exclusively to integrating unmanned systems into maritime operations. Task Force 59 began deploying Corsair vessels across the Middle East earlier this year as tensions in regional waterways intensified. Also read | 'He was in charge': Pam Bondi REVEALS who was really behind the botched Epstein files release What can these sea drones do? The US Navy Corsair is capable of carrying up to 1,000 pounds (453.5kg) over 1,000 nautical miles with a top speed of 35 knots. While the latest mission involved a rescue operation, sea drones are designed for a much wider range of tasks. They can monitor shipping lanes, track suspicious vessels, conduct surveillance, detect naval mines and gather intelligence in areas where sending crewed ships may be risky or costly. Some military planners also envision future versions carrying weapons or supporting combat missions alongside conventional warships. Have sea drones been used in combat? To date, the US has largely used them for surveillance and maritime security; however, recent conflicts have demonstrated their offensive potential. Earlier, Ukrainian forces were reported to have used unmanned boats to damage Russian warships, disrupt naval operations and even reportedly bring down a helicopter. The successful rescue near the Strait of Hormuz marks another milestone in the technology's evolution.

After two US Army Apache pilots crashed into Gulf waters near the Strait of Hormuz, an unlikely rescuer came to their aid: a 24-foot autonomous sea drone. The operation may mark the first known use of a drone to recover personnel during a real-world military mission. All you need to know.

US Navy's secret weapon? WION Decodes 'sea drones' used by America in first-of-its-kind rescue mission near Iran

When Anthropic unveiled the Mythos class of AI models, the internet asked one question louder than all others: what happens if you ask it to build a nuclear bomb? It is a fair question. Claude Fable 5, the public face of the Mythos class, released June 9, 2026, is described by Anthropic itself as the most capable AI model it has ever deployed. It scored 80.3% on SWE-Bench Pro, crossed the 90% threshold on analytical benchmarks, and outperformed every prior model on complex, long-horizon scientific tasks. So can it synthesise uranium? The short answer is no. The more interesting answer explains why.&nbsp;Anthropic has built what it calls a classifier-based fallback system directly into Fable 5. A separate layer of AI systems continuously monitors incoming prompts, looking for signals associated with CBRN misuse, chemical, biological, radiological, and nuclear domains. If a request crosses that threshold, the main Mythos-class model never sees it. The query is automatically rerouted to Claude Opus 4.8, which operates under tighter generation rules and returns a safe, non-actionable response. The underlying model's superior reasoning capability is simply never engaged. You are not talking to Mythos on those questions. You are talking to a gatekeeper.&nbsp;This architecture is not accidental. It is the direct output of Anthropic's Responsible Scaling Policy, which defines AI Safety Levels based on a model's potential to provide what the company calls ‘meaningful uplift’ in weapons of mass destruction. Claude Mythos 5, the unrestricted version of the same model, available only to a small group of vetted government and critical infrastructure partners, was evaluated against ASL-4 thresholds before any deployment decision was made. Anthropic concluded Mythos does not cross the ASL-4 line today, but it is the first model in history where the company judged the question close enough to require that formal evaluation at all.&nbsp;The nuclear chemistry guardrail is among the most absolute in the system. A user asking how to synthesize ricin, a biological toxin, triggers the fallback. A user asking about uranium enrichment centrifuge geometry triggers it. A user probing the critical mass calculations for weapons-grade plutonium triggers it. These are not edge cases that slip through. They are the primary design targets of the classifier layer.&nbsp;Anthropic has also been transparent about the limits of its own confidence. In a statement accompanying the Fable 5 launch, the company acknowledged that no classifier system is perfect, that jailbreak research is ongoing, and that a model of this capability class operating near weapons-relevant knowledge domains requires continuous red-teaming. The guardrails are real. They are also under constant adversarial pressure.&nbsp;What Claude Mythos represents is not a new danger in the nuclear space, that concern predates AI by decades. What it represents is a new class of machine intelligence powerful enough that the question had to be asked seriously, tested rigorously, and answered in public. Anthropic answered it. The Mythos species is not building bombs. The architecture ensures it.

Claude Mythos and Fable 5 are Anthropic's most powerful models ever, but classifier-based CBRN guardrails ensure they cannot provide nuclear or chemical weapons uplift. Here's how the system works.

When Anthropic unveiled the Mythos class of AI models, the internet asked one question louder than all others: what happens if you ask it to build a nuclear bomb? It is a fair question. Claude Fable 5, the public face of the Mythos class, released June 9, 2026, is described by Anthropic itself as the most capable AI model it has ever deployed. It scored 80.3% on SWE-Bench Pro, crossed the 90% threshold on analytical benchmarks, and outperformed every prior model on complex, long-horizon scientific tasks. So can it synthesise uranium? The short answer is no. The more interesting answer explains why. Anthropic has built what it calls a classifier-based fallback system directly into Fable 5. A separate layer of AI systems continuously monitors incoming prompts, looking for signals associated with CBRN misuse, chemical, biological, radiological, and nuclear domains. If a request crosses that threshold, the main Mythos-class model never sees it. The query is automatically rerouted to Claude Opus 4.8, which operates under tighter generation rules and returns a safe, non-actionable response. The underlying model's superior reasoning capability is simply never engaged. You are not talking to Mythos on those questions. You are talking to a gatekeeper. This architecture is not accidental. It is the direct output of Anthropic's Responsible Scaling Policy, which defines AI Safety Levels based on a model's potential to provide what the company calls ‘meaningful uplift’ in weapons of mass destruction. Claude Mythos 5, the unrestricted version of the same model, available only to a small group of vetted government and critical infrastructure partners, was evaluated against ASL-4 thresholds before any deployment decision was made. Anthropic concluded Mythos does not cross the ASL-4 line today, but it is the first model in history where the company judged the question close enough to require that formal evaluation at all. The nuclear chemistry guardrail is among the most absolute in the system. A user asking how to synthesize ricin, a biological toxin, triggers the fallback. A user asking about uranium enrichment centrifuge geometry triggers it. A user probing the critical mass calculations for weapons-grade plutonium triggers it. These are not edge cases that slip through. They are the primary design targets of the classifier layer. Anthropic has also been transparent about the limits of its own confidence. In a statement accompanying the Fable 5 launch, the company acknowledged that no classifier system is perfect, that jailbreak research is ongoing, and that a model of this capability class operating near weapons-relevant knowledge domains requires continuous red-teaming. The guardrails are real. They are also under constant adversarial pressure. What Claude Mythos represents is not a new danger in the nuclear space, that concern predates AI by decades. What it represents is a new class of machine intelligence powerful enough that the question had to be asked seriously, tested rigorously, and answered in public. Anthropic answered it. The Mythos species is not building bombs. The architecture ensures it.

Claude Mythos and its public version Fable 5 are Anthropic's most powerful AI models ever — but they are architecturally blocked from providing meaningful assistance with nuclear, chemical, biological, or radiological weapons. Here's how those guardrails actually work.

Can Claude Mythos build a nuclear bomb? Inside Anthropic's hard chemistry guardrails

Anthropic has officially released Claude Fable 5, bringing Mythos-level artificial intelligence to the public for the first time. Launched on June 9, 2026, Fable 5 marks a significant milestone in AI development, taking a model that was previously restricted to a small circle of cybersecurity professionals and infrastructure providers and making it available to enterprise customers and paid subscribers worldwide.&nbsp;The road to Fable has been anything but ordinary. Anthropic first unveiled the Mythos model class in April 2026, but deliberately limited its rollout due to the model's advanced cybersecurity capabilities, capabilities so powerful they raised legitimate concerns about misuse. Mythos quickly became one of the most talked-about AI releases in recent memory, with prediction markets giving a 94% probability of a public release by June. Anthropic delivered.&nbsp;But Fable 5 is not simply a rebranded Mythos. It is Mythos with guardrails. In high-risk domains like cybersecurity, biology, chemistry, and chemical distillation, Fable 5 automatically blocks responses and falls back to Claude Opus 4.8. Early data shows that at least 95% of Fable sessions run entirely on the new model's own responses, meaning the vast majority of real-world use cases operate without triggering any restrictions.&nbsp;The performance numbers back up the hype. Claude Fable 5 scored 80.3% on SWE-Bench Pro, a rigorous software engineering benchmark, and became the first AI model to cross the 90% threshold on Hex's analytical benchmark. On other tests, it outperformed Claude Opus 4.8 by more than 10%. Anthropic describes the model as purpose-built for ambitious, multi-day, asynchronous tasks that previous models simply could not sustain, think complex research pipelines, extended software development workflows, and long-horizon agentic tasks.&nbsp;On the pricing front, Fable 5 comes at a premium. Both Fable 5 and the restricted Mythos 5 are priced at $10 per million input tokens and $50 per million output tokens, double what Opus 4.8 costs. The model is available on Anthropic's own Claude Platform and through Amazon Web Services, Google Cloud, and Microsoft Foundry.&nbsp;Anthropic also simultaneously launched Claude Mythos 5, essentially Fable 5 without the safety filters, but access remains tightly controlled, limited to a small group of vetted cyberdefenders and critical infrastructure providers.&nbsp;The Mythos is no longer just a legend. It is live, and the AI landscape has shifted.

Anthropic's Claude Fable 5, the public version of its powerful Mythos-class AI model, is now live with 80.3% SWE-Bench Pro score, safety guardrails, and pricing at $10/million input tokens.

Anthropic has officially released Claude Fable 5, bringing Mythos-level artificial intelligence to the public for the first time. Launched on June 9, 2026, Fable 5 marks a significant milestone in AI development, taking a model that was previously restricted to a small circle of cybersecurity professionals and infrastructure providers and making it available to enterprise customers and paid subscribers worldwide. The road to Fable has been anything but ordinary. Anthropic first unveiled the Mythos model class in April 2026, but deliberately limited its rollout due to the model's advanced cybersecurity capabilities, capabilities so powerful they raised legitimate concerns about misuse. Mythos quickly became one of the most talked-about AI releases in recent memory, with prediction markets giving a 94% probability of a public release by June. Anthropic delivered. But Fable 5 is not simply a rebranded Mythos. It is Mythos with guardrails. In high-risk domains like cybersecurity, biology, chemistry, and chemical distillation, Fable 5 automatically blocks responses and falls back to Claude Opus 4.8. Early data shows that at least 95% of Fable sessions run entirely on the new model's own responses, meaning the vast majority of real-world use cases operate without triggering any restrictions. The performance numbers back up the hype. Claude Fable 5 scored 80.3% on SWE-Bench Pro, a rigorous software engineering benchmark, and became the first AI model to cross the 90% threshold on Hex's analytical benchmark. On other tests, it outperformed Claude Opus 4.8 by more than 10%. Anthropic describes the model as purpose-built for ambitious, multi-day, asynchronous tasks that previous models simply could not sustain, think complex research pipelines, extended software development workflows, and long-horizon agentic tasks. On the pricing front, Fable 5 comes at a premium. Both Fable 5 and the restricted Mythos 5 are priced at $10 per million input tokens and $50 per million output tokens, double what Opus 4.8 costs. The model is available on Anthropic's own Claude Platform and through Amazon Web Services, Google Cloud, and Microsoft Foundry. Anthropic also simultaneously launched Claude Mythos 5, essentially Fable 5 without the safety filters, but access remains tightly controlled, limited to a small group of vetted cyberdefenders and critical infrastructure providers. The Mythos is no longer just a legend. It is live, and the AI landscape has shifted.

Anthropic has released Claude Fable 5, a publicly available version of its highly anticipated Mythos-class AI, delivering exceptional performance in software engineering and knowledge work with built-in safety guardrails.

From Mythos to reality: Anthropic launches Claude Fable 5, its most powerful public AI model

Anthropic has launched Claude Fable 5, the first publicly available version of technology derived from its highly discussed Mythos AI system. The move marks a significant moment for the artificial intelligence industry because it gives developers, businesses and researchers access to some of Anthropic's most advanced capabilities while keeping strict safety protections in place. The company says Fable 5 is designed to perform complex software engineering, analytical work, reasoning tasks and vision-based operations. However, unlike the original Mythos model, which was restricted to a small group of partners, Fable 5 includes built-in limits for high-risk subjects such as cybersecurity, biology and chemistry. When users enter those areas, the system automatically switches to the safer Claude Opus 4.8 model.<h2>What exactly is Claude Fable 5?</h2>Claude Fable 5 is Anthropic's attempt to bring advanced AI capabilities to a wider audience without exposing the most sensitive parts of its technology. Mythos first attracted attention earlier this year after Anthropic claimed the model could identify thousands of software vulnerabilities and uncover security flaws at a speed far beyond traditional methods. Because of those capabilities, access was initially restricted to selected organisations managing critical infrastructure and cybersecurity systems. Now, Anthropic has created Fable 5 as a public-facing version of that technology. According to the company, most users will experience the full power of Fable 5 in more than 95 per cent of interactions, while only a small number of requests will be redirected to another model for safety reasons.<h2>Why is Anthropic being cautious?</h2>The release of Fable 5 comes at a time when AI companies are facing growing questions about safety, security and control. Anthropic has repeatedly warned that future AI systems could become significantly more capable and may eventually reach a stage where they can improve parts of their own performance with limited human guidance. Because of these concerns, the company says it carried out extensive testing before launching Fable 5. According to Anthropic, internal and external security researchers spent more than 1,000 hours attempting to bypass the model's protections. The company said testers failed to discover a universal method that could consistently defeat the safety systems. Anthropic has also introduced a 30-day data retention requirement for users of Fable 5 and Mythos 5. The company says the data will not be used to train future models but will help identify new threats, jailbreak attempts and unexpected behaviours.<h2>How powerful is Claude Fable 5?</h2>Early testing suggests Fable 5 performs strongly across a range of tasks. Analytics company Hex said Fable became the first AI model to achieve a score above 90 per cent on its benchmark for complex analytical work. Meanwhile, software platform Base44 reported improvements in application development, saying the model was particularly effective at building complete applications from a single prompt and handling tool integrations.Another AI platform, Genspark, said Fable outperformed competing models in several tests involving user interface design, coding and agent-based tasks. According to the company, the model showed stronger judgement and attention to detail when handling complicated requests. These results suggest Anthropic is focusing not only on raw intelligence but also on practical business applications.<h2>How could Fable 5 change the workplace?</h2>The biggest impact may be felt in software development, business operations and knowledge work. For software engineers, Fable 5 could help write, review and debug code faster. Companies may use it to automate parts of application development, identify bugs and improve productivity. In some cases, businesses could complete projects with smaller teams and shorter timelines. Knowledge workers may also benefit from faster research, data analysis, report generation and decision support. Instead of spending hours reviewing documents or analysing information manually, employees could rely on AI to complete much of the groundwork. The model's ability to reflect on its own work and verify outputs may also improve reliability in areas where accuracy matters.The cost question remains Despite the excitement around the launch, Fable 5 will not be cheap. Anthropic has priced both Fable 5 and Mythos 5 at $10 per million input tokens and $50 per million output tokens. That is roughly double the cost of Claude Opus 4.8. This comes at a time when many companies are becoming more careful about AI spending. Several businesses have reported using up annual AI budgets faster than expected as adoption increases across departments.As a result, organisations may need to decide whether the performance gains offered by Fable 5 justify the additional expense.<h2>What does this mean for the AI race?</h2>The launch of Fable 5 highlights how quickly the competition between AI companies is intensifying. Anthropic, OpenAI, Google, Meta and xAI are all racing to develop more capable systems while also addressing concerns around safety and responsible deployment. Anthropic's approach suggests that future AI releases may increasingly combine powerful capabilities with strict usage controls.For users, Fable 5 represents access to a new generation of AI that can handle more complex tasks than previous models. For businesses, it offers a glimpse of how advanced AI could reshape software development, research, automation and decision-making over the next few years. Whether that transformation happens quickly or gradually, one thing is becoming clear: AI systems are moving beyond simple chatbots and becoming active tools capable of carrying out increasingly sophisticated work&nbsp;&nbsp;

Anthropic launches Claude Fable 5, bringing advanced AI capabilities from Mythos to wider users with built-in safety controls. The model excels in coding, analysis and automation, but higher costs and strict limits highlight growing focus on responsible AI use.

Anthropic has launched Claude Fable 5, the first publicly available version of technology derived from its highly discussed Mythos AI system. The move marks a significant moment for the artificial intelligence industry because it gives developers, businesses and researchers access to some of Anthropic's most advanced capabilities while keeping strict safety protections in place. The company says Fable 5 is designed to perform complex software engineering, analytical work, reasoning tasks and vision-based operations. However, unlike the original Mythos model, which was restricted to a small group of partners, Fable 5 includes built-in limits for high-risk subjects such as cybersecurity, biology and chemistry. When users enter those areas, the system automatically switches to the safer Claude Opus 4.8 model. What exactly is Claude Fable 5? Claude Fable 5 is Anthropic's attempt to bring advanced AI capabilities to a wider audience without exposing the most sensitive parts of its technology. Mythos first attracted attention earlier this year after Anthropic claimed the model could identify thousands of software vulnerabilities and uncover security flaws at a speed far beyond traditional methods. Because of those capabilities, access was initially restricted to selected organisations managing critical infrastructure and cybersecurity systems. Now, Anthropic has created Fable 5 as a public-facing version of that technology. According to the company, most users will experience the full power of Fable 5 in more than 95 per cent of interactions, while only a small number of requests will be redirected to another model for safety reasons. Why is Anthropic being cautious? The release of Fable 5 comes at a time when AI companies are facing growing questions about safety, security and control. Anthropic has repeatedly warned that future AI systems could become significantly more capable and may eventually reach a stage where they can improve parts of their own performance with limited human guidance. Because of these concerns, the company says it carried out extensive testing before launching Fable 5. According to Anthropic, internal and external security researchers spent more than 1,000 hours attempting to bypass the model's protections. The company said testers failed to discover a universal method that could consistently defeat the safety systems. Anthropic has also introduced a 30-day data retention requirement for users of Fable 5 and Mythos 5. The company says the data will not be used to train future models but will help identify new threats, jailbreak attempts and unexpected behaviours. How powerful is Claude Fable 5? Early testing suggests Fable 5 performs strongly across a range of tasks. Analytics company Hex said Fable became the first AI model to achieve a score above 90 per cent on its benchmark for complex analytical work. Meanwhile, software platform Base44 reported improvements in application development, saying the model was particularly effective at building complete applications from a single prompt and handling tool integrations. Another AI platform, Genspark, said Fable outperformed competing models in several tests involving user interface design, coding and agent-based tasks. According to the company, the model showed stronger judgement and attention to detail when handling complicated requests. These results suggest Anthropic is focusing not only on raw intelligence but also on practical business applications. How could Fable 5 change the workplace? The biggest impact may be felt in software development, business operations and knowledge work. For software engineers, Fable 5 could help write, review and debug code faster. Companies may use it to automate parts of application development, identify bugs and improve productivity. In some cases, businesses could complete projects with smaller teams and shorter timelines. Knowledge workers may also benefit from faster research, data analysis, report generation and decision support. Instead of spending hours reviewing documents or analysing information manually, employees could rely on AI to complete much of the groundwork. The model's ability to reflect on its own work and verify outputs may also improve reliability in areas where accuracy matters. The cost question remains Despite the excitement around the launch, Fable 5 will not be cheap. Anthropic has priced both Fable 5 and Mythos 5 at $10 per million input tokens and $50 per million output tokens. That is roughly double the cost of Claude Opus 4.8. This comes at a time when many companies are becoming more careful about AI spending. Several businesses have reported using up annual AI budgets faster than expected as adoption increases across departments. As a result, organisations may need to decide whether the performance gains offered by Fable 5 justify the additional expense. What does this mean for the AI race? The launch of Fable 5 highlights how quickly the competition between AI companies is intensifying. Anthropic, OpenAI, Google, Meta and xAI are all racing to develop more capable systems while also addressing concerns around safety and responsible deployment. Anthropic's approach suggests that future AI releases may increasingly combine powerful capabilities with strict usage controls. For users, Fable 5 represents access to a new generation of AI that can handle more complex tasks than previous models. For businesses, it offers a glimpse of how advanced AI could reshape software development, research, automation and decision-making over the next few years. Whether that transformation happens quickly or gradually, one thing is becoming clear: AI systems are moving beyond simple chatbots and becoming active tools capable of carrying out increasingly sophisticated work

Anthropic launches Claude Fable 5, bringing advanced AI capabilities from Mythos to wider users with built-in safety controls. The model excels in coding, analysis and automation, but higher costs and strict limits highlight growing focus on responsible AI use.

Anthropic launches Claude Fable 5: How it could change the way people work

Meta Platforms has announced a $115 million new training initiative, America’s Workforce Academy (AWA), that will allow Americans to take free, five-week courses in skilled trades and a guaranteed job after graduation. The initiative aims to staff the sprawling data centres required to compete in the artificial intelligence industry. The programme is being launched in collaboration with commercial real estate services firm CBRE and the Associated Builders and Contractors. It is set to target a critical shortage of skilled tradespeople in the US by offering training in roles including electrical work, HVAC installation, welding, plumbing and fibre-optic technology. Those who complete the programme will earn an industry-recognised certification from the National Centre for Construction Education and Research (NCCER), along with an America's Workforce Certificate. A key feature of the initiative is its employment pathway. Upon graduation, participants will be directly matched with one of Meta's general contractors working at an active data centre construction site, effectively providing a guaranteed route into the workforce.<h3>The pilot programme</h3>The initiative will initially be rolled out in Louisiana, Ohio, Indiana and Texas, all of which are already hosting existing or set to host Meta data centre projects. The move reflects Meta's infrastructure ambitions. Meta's largest data centre project, Hyperion, is being developed in Richland Parish, Louisiana. The company has described the facility as so expansive that it would occupy a substantial portion of Manhattan. The Associated Builders and Contractors estimates that the US-based construction industry will need to add nearly 349,000 net new workers this year alone to fulfil demand generated by the data centre boom. The labour market research firm Lightcast analysed that total data centre-related construction job postings have roughly doubled over the past two years.&nbsp;Announcing the initiative, the company said: “Meta is proud to be partnering with the National Urban League, the Associated Builders and Contractors, and CBRE, as well as community partners across the country including, the US Hispanic Chamber of Commerce, STRIVE, Boone County Economic Development Corporation (IN), Richland Parish Chamber of Commerce (LA), Workforce Solutions Borderplex (TX), and Ohio Chamber of Commerce (OH)”.&nbsp;Meta added that it is “launching America’s Workforce Academy (AWA) to build upon the huge demand we saw for Meta’s first major initiative of this kind, Level-Up, Meta’s fibre installation training program that received 35,000 applications in the first seven days”.&nbsp;Also read: <a href="https://www.wionews.com/world/us-china-russia-lead-record-119-billion-nuclear-arms-surge-where-does-india-stand-1780981437231">US, China, Russia lead record $119 billion nuclear arms surge: Where does India stand?</a> The programme reflects a significant shift in how technology companies view workforce development. For years, the sector has largely focused on promoting coding, software engineering and computer science education. Meta's new academy, however, acknowledges that the rapid expansion of physical infrastructure also requires a highly skilled workforce in construction and technical trades. Meta is not the only company addressing this challenge. Earlier this year, the BlackRock Foundation launched a $100 million initiative aimed at expanding training opportunities in skilled trades. A substantial share of the funding has been allocated to electrician training programmes in Texas, where demand for workers has surged alongside the rapid growth of data centres.&nbsp;&nbsp;

 America’s Workforce Academy (AWA) is set to target a critical shortage of skilled tradespeople in the US by offering training in roles including electrical work, HVAC installation, welding, plumbing and fibre-optic technology.

Meta Platforms has announced a $115 million new training initiative, America’s Workforce Academy (AWA), that will allow Americans to take free, five-week courses in skilled trades and a guaranteed job after graduation. The initiative aims to staff the sprawling data centres required to compete in the artificial intelligence industry. The programme is being launched in collaboration with commercial real estate services firm CBRE and the Associated Builders and Contractors. It is set to target a critical shortage of skilled tradespeople in the US by offering training in roles including electrical work, HVAC installation, welding, plumbing and fibre-optic technology. Those who complete the programme will earn an industry-recognised certification from the National Centre for Construction Education and Research (NCCER), along with an America's Workforce Certificate. A key feature of the initiative is its employment pathway. Upon graduation, participants will be directly matched with one of Meta's general contractors working at an active data centre construction site, effectively providing a guaranteed route into the workforce. The pilot programme The initiative will initially be rolled out in Louisiana, Ohio, Indiana and Texas, all of which are already hosting existing or set to host Meta data centre projects. The move reflects Meta's infrastructure ambitions. Meta's largest data centre project, Hyperion, is being developed in Richland Parish, Louisiana. The company has described the facility as so expansive that it would occupy a substantial portion of Manhattan. The Associated Builders and Contractors estimates that the US-based construction industry will need to add nearly 349,000 net new workers this year alone to fulfil demand generated by the data centre boom. The labour market research firm Lightcast analysed that total data centre-related construction job postings have roughly doubled over the past two years. Announcing the initiative, the company said: “Meta is proud to be partnering with the National Urban League, the Associated Builders and Contractors, and CBRE, as well as community partners across the country including, the US Hispanic Chamber of Commerce, STRIVE, Boone County Economic Development Corporation (IN), Richland Parish Chamber of Commerce (LA), Workforce Solutions Borderplex (TX), and Ohio Chamber of Commerce (OH)”. Meta added that it is “launching America’s Workforce Academy (AWA) to build upon the huge demand we saw for Meta’s first major initiative of this kind, Level-Up, Meta’s fibre installation training program that received 35,000 applications in the first seven days”. Also read: US, China, Russia lead record $119 billion nuclear arms surge: Where does India stand? The programme reflects a significant shift in how technology companies view workforce development. For years, the sector has largely focused on promoting coding, software engineering and computer science education. Meta's new academy, however, acknowledges that the rapid expansion of physical infrastructure also requires a highly skilled workforce in construction and technical trades. Meta is not the only company addressing this challenge. Earlier this year, the BlackRock Foundation launched a $100 million initiative aimed at expanding training opportunities in skilled trades. A substantial share of the funding has been allocated to electrician training programmes in Texas, where demand for workers has surged alongside the rapid growth of data centres.

&nbsp;America’s Workforce Academy (AWA) is set to target a critical shortage of skilled tradespeople in the US by offering training in roles including electrical work, HVAC installation, welding, plumbing and fibre-optic technology.

Free training, guaranteed jobs: Meta launches $115 million five-week programme to boost AI data centre

The artificial intelligence boom is entering a new phase. OpenAI has confidentially filed for a US initial public offering (IPO), marking a major milestone for one of the world's most influential AI firms. The filing comes just days after rival Anthropic, the company behind Claude AI, also began preparations for a public market debut. Together with SpaceX, the three companies could test investor appetite for some of the largest technology listings in modern history.&nbsp;While OpenAI did not reveal the size or timing of the offering, reports suggest the company could target a valuation of up to $1 trillion. If achieved, it would place OpenAI among the most valuable technology companies ever to enter public markets.<h2>Why OpenAI's IPO is attracting global attention</h2>OpenAI has become one of the defining companies of the artificial intelligence era. Since launching ChatGPT in late 2022, the company has played a central role in bringing generative AI into mainstream use. Businesses, students, developers and consumers now use AI tools for everything from writing and coding to research and customer service. According to information shared during recent fundraising discussions, OpenAI has more than 900 million weekly active ChatGPT users and over 50 million paying consumer subscribers worldwide. The company also reported generating approximately $2 billion in monthly revenue earlier this year.&nbsp;Those numbers have helped fuel investor enthusiasm and explain why OpenAI's potential IPO is being viewed as one of the most significant technology offerings of the decade.<h2>Anthropic and SpaceX are also heading to public markets</h2>OpenAI is not alone. Anthropic, one of OpenAI's biggest competitors, recently filed confidentially for its own IPO. The company was recently valued at approximately $965 billion after a major funding round and has seen growing demand for products such as Claude AI and Claude Code. Meanwhile, Elon Musk's SpaceX has already filed for a public offering that could value the company at around $1.75 trillion. Reports suggest the offering could raise as much as $75 billion, potentially making it the largest IPO in history.&nbsp;Together, these listings represent a major test for public markets and could shape investor sentiment towards technology and artificial intelligence companies for years to come. The AI era is becoming a major investment theme. Artificial intelligence has rapidly become one of the most important investment themes globally. Over the past three years, companies developing advanced AI systems have attracted hundreds of billions of dollars in investment. Investors believe AI could transform industries including healthcare, education, finance, manufacturing, cybersecurity and software development.<h2>OpenAI's rapid growth has become one of the strongest examples of that trend</h2>The company reportedly raised funding earlier this year at a valuation of around $840 billion from investors including SoftBank, Amazon and Nvidia. Its growth rate has also drawn attention, with reports suggesting revenue has expanded much faster than many technology giants did during their early years.&nbsp;OpenAI still faces challenges Despite its growth, OpenAI faces several challenges.&nbsp;The company has reportedly told investors that it does not expect to become profitable until 2030. Developing and operating advanced AI systems requires enormous investments in computing infrastructure, data centres and specialised AI chips.<h2>Competition is also increasing</h2>Anthropic continues to gain momentum with its Claude family of models, while Google, Meta, Microsoft, Amazon and other firms continue investing heavily in AI research and development. Investors are increasingly asking whether AI companies can maintain rapid innovation while also building sustainable businesses.&nbsp;<h2>Why investors are watching model progress closely</h2>According to analysts, one of the key factors influencing future valuations will be innovation. The value of companies such as OpenAI and Anthropic depends heavily on their ability to continue improving AI capabilities. If technological progress slows significantly, investors may begin questioning the high valuations assigned to AI firms. So far, however, there is little evidence of a slowdown. New models continue to improve reasoning, coding, search, cybersecurity and multimodal capabilities at a rapid pace, keeping investor interest high.&nbsp;<h2>OpenAI's unusual structure remains under scrutiny</h2> Another factor attracting attention is OpenAI's corporate structure.The company began in 2015 as a nonprofit research organisation before creating a for-profit arm in 2019 to raise the capital needed for AI development. That structure has remained a subject of debate, particularly after the brief removal and return of CEO Sam Altman in late 2023. In recent years, OpenAI has moved towards a public benefit corporation structure to support future fundraising while maintaining aspects of its original mission. The issue also became part of a legal dispute with Elon Musk, who accused the company of moving away from its founding goals. A US jury ultimately ruled in favour of OpenAI earlier this year.

OpenAI files for IPO as AI boom enters new phase. With Anthropic and SpaceX also preparing listings, trillion-dollar valuations and rapid growth are driving investor interest while raising questions about profitability and long-term sustainability.

The artificial intelligence boom is entering a new phase. OpenAI has confidentially filed for a US initial public offering (IPO), marking a major milestone for one of the world's most influential AI firms. The filing comes just days after rival Anthropic, the company behind Claude AI, also began preparations for a public market debut. Together with SpaceX, the three companies could test investor appetite for some of the largest technology listings in modern history. While OpenAI did not reveal the size or timing of the offering, reports suggest the company could target a valuation of up to $1 trillion. If achieved, it would place OpenAI among the most valuable technology companies ever to enter public markets. Why OpenAI's IPO is attracting global attention OpenAI has become one of the defining companies of the artificial intelligence era. Since launching ChatGPT in late 2022, the company has played a central role in bringing generative AI into mainstream use. Businesses, students, developers and consumers now use AI tools for everything from writing and coding to research and customer service. According to information shared during recent fundraising discussions, OpenAI has more than 900 million weekly active ChatGPT users and over 50 million paying consumer subscribers worldwide. The company also reported generating approximately $2 billion in monthly revenue earlier this year. Those numbers have helped fuel investor enthusiasm and explain why OpenAI's potential IPO is being viewed as one of the most significant technology offerings of the decade. Anthropic and SpaceX are also heading to public markets OpenAI is not alone. Anthropic, one of OpenAI's biggest competitors, recently filed confidentially for its own IPO. The company was recently valued at approximately $965 billion after a major funding round and has seen growing demand for products such as Claude AI and Claude Code. Meanwhile, Elon Musk's SpaceX has already filed for a public offering that could value the company at around $1.75 trillion. Reports suggest the offering could raise as much as $75 billion, potentially making it the largest IPO in history. Together, these listings represent a major test for public markets and could shape investor sentiment towards technology and artificial intelligence companies for years to come. The AI era is becoming a major investment theme. Artificial intelligence has rapidly become one of the most important investment themes globally. Over the past three years, companies developing advanced AI systems have attracted hundreds of billions of dollars in investment. Investors believe AI could transform industries including healthcare, education, finance, manufacturing, cybersecurity and software development. OpenAI's rapid growth has become one of the strongest examples of that trend The company reportedly raised funding earlier this year at a valuation of around $840 billion from investors including SoftBank, Amazon and Nvidia. Its growth rate has also drawn attention, with reports suggesting revenue has expanded much faster than many technology giants did during their early years. OpenAI still faces challenges Despite its growth, OpenAI faces several challenges. The company has reportedly told investors that it does not expect to become profitable until 2030. Developing and operating advanced AI systems requires enormous investments in computing infrastructure, data centres and specialised AI chips. Competition is also increasing Anthropic continues to gain momentum with its Claude family of models, while Google, Meta, Microsoft, Amazon and other firms continue investing heavily in AI research and development. Investors are increasingly asking whether AI companies can maintain rapid innovation while also building sustainable businesses. Why investors are watching model progress closely According to analysts, one of the key factors influencing future valuations will be innovation. The value of companies such as OpenAI and Anthropic depends heavily on their ability to continue improving AI capabilities. If technological progress slows significantly, investors may begin questioning the high valuations assigned to AI firms. So far, however, there is little evidence of a slowdown. New models continue to improve reasoning, coding, search, cybersecurity and multimodal capabilities at a rapid pace, keeping investor interest high. OpenAI's unusual structure remains under scrutiny Another factor attracting attention is OpenAI's corporate structure. The company began in 2015 as a nonprofit research organisation before creating a for-profit arm in 2019 to raise the capital needed for AI development. That structure has remained a subject of debate, particularly after the brief removal and return of CEO Sam Altman in late 2023. In recent years, OpenAI has moved towards a public benefit corporation structure to support future fundraising while maintaining aspects of its original mission. The issue also became part of a legal dispute with Elon Musk, who accused the company of moving away from its founding goals. A US jury ultimately ruled in favour of OpenAI earlier this year.

OpenAI files for IPO as AI boom enters new phase. With Anthropic and SpaceX also preparing listings, trillion-dollar valuations and rapid growth are driving investor interest while raising questions about profitability and long-term sustainability.

The AI IPO wave is here: OpenAI files confidentially for an IPO after Anthropic

Perplexity plans to launch its initial public offering (IPO) in 2028 regardless of how investors respond to upcoming listings from OpenAI and Anthropic, according to CEO Aravind Srinivas.Speaking to CNBC, Srinivas said the company's timeline remains unchanged even as some of the world's biggest artificial intelligence firms prepare to enter public markets. The comments come at a time when investor interest in AI companies is reaching new highs, with OpenAI, Anthropic and SpaceX all moving closer to major public offerings. Srinivas said Perplexity had already been planning a 2028 IPO and that recent developments in the market have not changed that strategy.<h2>Why OpenAI and Anthropic IPOs matter to the AI industry</h2>The AI industry is closely watching upcoming IPOs from some of its biggest players. Anthropic, the company behind Claude AI, recently filed confidentially for an IPO. OpenAI has also reportedly begun the process of preparing for a public listing. Both companies are among the most valuable AI firms in the world and are often referred to as "frontier AI labs" because they develop some of the most advanced AI models available today. Srinivas acknowledged that the success or failure of these listings could influence market sentiment. "I think it's important for the AI industry that these IPOs go well," he said during the interview. He also pointed to the upcoming SpaceX IPO as a potential indicator of investor appetite for large technology offerings. According to Srinivas, strong performances from these companies could strengthen confidence in the broader AI sector.<h2>Are AI company valuations justified?</h2>One of the biggest debates surrounding the AI industry is whether current valuations are sustainable. OpenAI and Anthropic have both attracted enormous investments, pushing their valuations to levels rarely seen in the technology sector.Srinivas believes those valuations are justified for now because the companies remain at the forefront of AI innovation. However, he warned that continued progress is essential. "If for six months you don't see a model capability advance from one of these two companies, then it's a problem for them," he said.&nbsp;The comment highlights a growing expectation among investors that AI companies must continue delivering breakthroughs to maintain their value.<h2>AI spending is becoming a major concern</h2>Another important topic discussed by Srinivas was the growing cost of artificial intelligence. As businesses adopt AI tools across departments, spending on AI services has increased significantly. OpenAI CEO Sam Altman has previously described AI costs as a major issue for companies trying to scale usage. According to Srinivas, organisations are becoming more careful about how they spend money on AI. Instead of automatically choosing the most powerful model, businesses are increasingly looking for the most cost-effective solution for a particular task. This shift could reshape how companies deploy AI in the future.&nbsp;The rise of 'tokenmaxxing'Srinivas also discussed a trend known as "tokenmaxxing". The term refers to employees increasing their use of AI tools to appear more productive or technologically advanced. However, Srinivas argued that businesses are now moving beyond simply maximising AI usage. Instead, companies want AI systems that provide the best balance between performance and cost. Perplexity's platform already reflects this approach. The company's AI search engine can choose from multiple AI models depending on the user's request. For simpler tasks, the system may use a cheaper open-source model. For more complex requests, it can switch to advanced frontier models. According to Srinivas, this hybrid approach allows businesses to reduce costs while maintaining high-quality results.&nbsp;<h2>Why Perplexity believes efficiency will matter more</h2>Perplexity's strategy reflects a broader trend emerging across the AI industry. While many companies initially focused on accessing the most powerful AI models available, attention is now shifting towards efficiency and return on investment. Srinivas said that if an open-source model can complete a task successfully most of the time at a fraction of the cost, it often makes financial sense to use that model instead. "The future is still awesome for frontier intelligence," he said. "But it's not going to be mindless spending." This suggests the next phase of AI adoption may be defined not only by technological advances but also by how efficiently companies use those technologies.&nbsp;<h2>What Perplexity's IPO plans tell us about the AI market</h2>Perplexity's decision to maintain its 2028 IPO timeline shows confidence in the long-term future of artificial intelligence. The company appears to believe that demand for AI tools will continue growing, even as businesses become more selective about spending.At the same time, the success of upcoming IPOs from OpenAI, Anthropic and SpaceX could provide valuable insight into how investors view the future of AI. For now, Srinivas remains optimistic. He believes the leading AI companies continue to innovate rapidly and that investor interest in the sector remains strong. As some of the biggest technology listings in history approach, the next few years could become a defining period for the artificial intelligence industry and the companies leading it.

Perplexity plans a 2028 IPO as CEO Aravind Srinivas says AI listing wave is just beginning. With OpenAI, Anthropic and SpaceX nearing public markets, focus is shifting from rapid spending to efficient and cost-effective AI use.


Perplexity plans to launch its initial public offering (IPO) in 2028 regardless of how investors respond to upcoming listings from OpenAI and Anthropic, according to CEO Aravind Srinivas. Speaking to CNBC, Srinivas said the company's timeline remains unchanged even as some of the world's biggest artificial intelligence firms prepare to enter public markets. The comments come at a time when investor interest in AI companies is reaching new highs, with OpenAI, Anthropic and SpaceX all moving closer to major public offerings. Srinivas said Perplexity had already been planning a 2028 IPO and that recent developments in the market have not changed that strategy. Why OpenAI and Anthropic IPOs matter to the AI industry The AI industry is closely watching upcoming IPOs from some of its biggest players. Anthropic, the company behind Claude AI, recently filed confidentially for an IPO. OpenAI has also reportedly begun the process of preparing for a public listing. Both companies are among the most valuable AI firms in the world and are often referred to as "frontier AI labs" because they develop some of the most advanced AI models available today. Srinivas acknowledged that the success or failure of these listings could influence market sentiment. "I think it's important for the AI industry that these IPOs go well," he said during the interview. He also pointed to the upcoming SpaceX IPO as a potential indicator of investor appetite for large technology offerings. According to Srinivas, strong performances from these companies could strengthen confidence in the broader AI sector. Are AI company valuations justified? One of the biggest debates surrounding the AI industry is whether current valuations are sustainable. OpenAI and Anthropic have both attracted enormous investments, pushing their valuations to levels rarely seen in the technology sector. Srinivas believes those valuations are justified for now because the companies remain at the forefront of AI innovation. However, he warned that continued progress is essential. "If for six months you don't see a model capability advance from one of these two companies, then it's a problem for them," he said. The comment highlights a growing expectation among investors that AI companies must continue delivering breakthroughs to maintain their value. AI spending is becoming a major concern Another important topic discussed by Srinivas was the growing cost of artificial intelligence. As businesses adopt AI tools across departments, spending on AI services has increased significantly. OpenAI CEO Sam Altman has previously described AI costs as a major issue for companies trying to scale usage. According to Srinivas, organisations are becoming more careful about how they spend money on AI. Instead of automatically choosing the most powerful model, businesses are increasingly looking for the most cost-effective solution for a particular task. This shift could reshape how companies deploy AI in the future. The rise of 'tokenmaxxing' Srinivas also discussed a trend known as "tokenmaxxing". The term refers to employees increasing their use of AI tools to appear more productive or technologically advanced. However, Srinivas argued that businesses are now moving beyond simply maximising AI usage. Instead, companies want AI systems that provide the best balance between performance and cost. Perplexity's platform already reflects this approach. The company's AI search engine can choose from multiple AI models depending on the user's request. For simpler tasks, the system may use a cheaper open-source model. For more complex requests, it can switch to advanced frontier models. According to Srinivas, this hybrid approach allows businesses to reduce costs while maintaining high-quality results. Why Perplexity believes efficiency will matter more Perplexity's strategy reflects a broader trend emerging across the AI industry. While many companies initially focused on accessing the most powerful AI models available, attention is now shifting towards efficiency and return on investment. Srinivas said that if an open-source model can complete a task successfully most of the time at a fraction of the cost, it often makes financial sense to use that model instead. "The future is still awesome for frontier intelligence," he said. "But it's not going to be mindless spending." This suggests the next phase of AI adoption may be defined not only by technological advances but also by how efficiently companies use those technologies. What Perplexity's IPO plans tell us about the AI market Perplexity's decision to maintain its 2028 IPO timeline shows confidence in the long-term future of artificial intelligence. The company appears to believe that demand for AI tools will continue growing, even as businesses become more selective about spending. At the same time, the success of upcoming IPOs from OpenAI, Anthropic and SpaceX could provide valuable insight into how investors view the future of AI. For now, Srinivas remains optimistic. He believes the leading AI companies continue to innovate rapidly and that investor interest in the sector remains strong. As some of the biggest technology listings in history approach, the next few years could become a defining period for the artificial intelligence industry and the companies leading it.

Perplexity plans a 2028 IPO as CEO Aravind Srinivas says AI listing wave is just beginning. With OpenAI, Anthropic and SpaceX nearing public markets, focus is shifting from rapid spending to efficient and cost-effective AI use.

OpenAI, Anthropic and SpaceX IPOs could shape the future of AI investing, says Perplexity CEO

At WWDC 2026, Apple announced major upgrades to Siri AI and deeper integration of Apple Intelligence across its ecosystem, including Apple Vision Pro. Together, these updates suggest Apple is moving towards a future where users can interact with technology more naturally through voice, eye tracking and artificial intelligence.&nbsp;The question, however, is whether voice control can truly replace traditional ways of using a computer.&nbsp;<h2>Siri is becoming much more than a voice assistant</h2>For years, Siri helped users perform simple tasks such as setting alarms, sending messages and checking the weather. The new Siri AI unveiled at WWDC 2026 is designed to do much more. According to Apple, Siri can now understand what is happening on a user's screen, remember context from previous conversations and perform actions across multiple applications. Instead of simply responding to commands, Siri is becoming an assistant capable of helping users complete complex tasks. For example, a Vision Pro user could ask Siri to find information from an email, create a calendar event, share a document and send a message without manually opening several apps. This is a significant shift from traditional computing, where users move between applications themselves.&nbsp;<h2>Why Vision Pro is the perfect device for smarter Siri</h2>While Siri upgrades will be available across Apple's ecosystem, Vision Pro may benefit more than any other device. That is because Vision Pro was designed around natural interaction from the beginning. Users already navigate visionOS through eye tracking, hand gestures and voice commands. The addition of a more intelligent Siri means many actions may require even less physical interaction. Imagine watching a presentation inside Vision Pro and asking Siri to summarise key points. Or looking at a restaurant recommendation and asking Siri to make a reservation. Users could potentially move between tasks through conversation rather than manually selecting menus and buttons. Apple's vision appears to be making technology feel less like operating a machine and more like interacting with an intelligent assistant.<h2> Could voice become the next major computing interface?</h2>The idea of controlling computers through voice has existed for decades. However, earlier voice assistants often struggled with context, complex requests and natural conversation. Recent advances in artificial intelligence are changing that. Large language models and AI systems can now understand intent much better than previous generations of software. Apple's new Siri AI benefits from these improvements while combining them with personal information stored across a user's devices. This allows Siri to understand requests in ways that were previously difficult. Instead of saying a specific command, users can speak naturally. Siri can interpret meaning, gather information from different apps and complete actions automatically. Industry experts increasingly believe that voice could become one of the primary ways people interact with technology in the future, especially when combined with AI.&nbsp;<h2>But voice control still has limitations</h2>Despite the progress, voice control is unlikely to replace traditional interfaces entirely. There are situations where speaking aloud is not practical. People often work in shared offices, public spaces or quiet environments where voice commands may be inconvenient. Complex tasks such as video editing, spreadsheet analysis or software development may also still require visual interfaces and precise controls.&nbsp;Even Apple appears to recognise this reality.Vision Pro continues to support eye tracking, gestures and traditional interaction methods alongside voice control. Rather than replacing existing interfaces, Siri AI is being positioned as an additional layer that makes technology easier to use. In other words, the future may not be voice-only but voice-first.&nbsp;<h2>Apple is building an ecosystem that works together</h2>Perhaps the most important aspect of Apple's announcements is not Siri itself but how Siri connects the entire ecosystem. Apple Intelligence now works across iPhone, iPad, Mac, Apple Watch and Vision Pro. A user could begin a task on an iPhone, continue it on a Mac and complete it inside Vision Pro while Siri maintains awareness of the context throughout the process. For example, travel plans discussed in Messages could automatically appear in Calendar. Documents viewed on a Mac could be accessed through Vision Pro. Siri can then help users find information or complete tasks regardless of which device they are using. This level of integration is one reason many analysts see Apple's AI strategy as different from standalone chatbot products.&nbsp;<h2>Vision Pro offers a glimpse of Apple's long-term vision</h2>The updates announced at WWDC 2026 suggest that Apple sees Vision Pro as more than a mixed-reality headset. It is becoming a testing ground for new ways of interacting with computers. By combining artificial intelligence, spatial computing, eye tracking, voice interaction and connected devices, Apple is gradually reducing the need for traditional interfaces. The company is not eliminating keyboards, touchscreens or gestures. Instead, it is making them less necessary in certain situations.

Apple’s WWDC 2026 highlights smarter Siri AI and deeper Apple Intelligence across devices including Vision Pro. Voice eye tracking and AI aim to simplify computing but experts say voice will likely complement not replace traditional interfaces.

At WWDC 2026, Apple announced major upgrades to Siri AI and deeper integration of Apple Intelligence across its ecosystem, including Apple Vision Pro. Together, these updates suggest Apple is moving towards a future where users can interact with technology more naturally through voice, eye tracking and artificial intelligence. The question, however, is whether voice control can truly replace traditional ways of using a computer. Siri is becoming much more than a voice assistant For years, Siri helped users perform simple tasks such as setting alarms, sending messages and checking the weather. The new Siri AI unveiled at WWDC 2026 is designed to do much more. According to Apple, Siri can now understand what is happening on a user's screen, remember context from previous conversations and perform actions across multiple applications. Instead of simply responding to commands, Siri is becoming an assistant capable of helping users complete complex tasks. For example, a Vision Pro user could ask Siri to find information from an email, create a calendar event, share a document and send a message without manually opening several apps. This is a significant shift from traditional computing, where users move between applications themselves. Why Vision Pro is the perfect device for smarter Siri While Siri upgrades will be available across Apple's ecosystem, Vision Pro may benefit more than any other device. That is because Vision Pro was designed around natural interaction from the beginning. Users already navigate visionOS through eye tracking, hand gestures and voice commands. The addition of a more intelligent Siri means many actions may require even less physical interaction. Imagine watching a presentation inside Vision Pro and asking Siri to summarise key points. Or looking at a restaurant recommendation and asking Siri to make a reservation. Users could potentially move between tasks through conversation rather than manually selecting menus and buttons. Apple's vision appears to be making technology feel less like operating a machine and more like interacting with an intelligent assistant. Could voice become the next major computing interface? The idea of controlling computers through voice has existed for decades. However, earlier voice assistants often struggled with context, complex requests and natural conversation. Recent advances in artificial intelligence are changing that. Large language models and AI systems can now understand intent much better than previous generations of software. Apple's new Siri AI benefits from these improvements while combining them with personal information stored across a user's devices. This allows Siri to understand requests in ways that were previously difficult. Instead of saying a specific command, users can speak naturally. Siri can interpret meaning, gather information from different apps and complete actions automatically. Industry experts increasingly believe that voice could become one of the primary ways people interact with technology in the future, especially when combined with AI. But voice control still has limitations Despite the progress, voice control is unlikely to replace traditional interfaces entirely. There are situations where speaking aloud is not practical. People often work in shared offices, public spaces or quiet environments where voice commands may be inconvenient. Complex tasks such as video editing, spreadsheet analysis or software development may also still require visual interfaces and precise controls. Even Apple appears to recognise this reality. Vision Pro continues to support eye tracking, gestures and traditional interaction methods alongside voice control. Rather than replacing existing interfaces, Siri AI is being positioned as an additional layer that makes technology easier to use. In other words, the future may not be voice-only but voice-first. Apple is building an ecosystem that works together Perhaps the most important aspect of Apple's announcements is not Siri itself but how Siri connects the entire ecosystem. Apple Intelligence now works across iPhone, iPad, Mac, Apple Watch and Vision Pro. A user could begin a task on an iPhone, continue it on a Mac and complete it inside Vision Pro while Siri maintains awareness of the context throughout the process. For example, travel plans discussed in Messages could automatically appear in Calendar. Documents viewed on a Mac could be accessed through Vision Pro. Siri can then help users find information or complete tasks regardless of which device they are using. This level of integration is one reason many analysts see Apple's AI strategy as different from standalone chatbot products. Vision Pro offers a glimpse of Apple's long-term vision The updates announced at WWDC 2026 suggest that Apple sees Vision Pro as more than a mixed-reality headset. It is becoming a testing ground for new ways of interacting with computers. By combining artificial intelligence, spatial computing, eye tracking, voice interaction and connected devices, Apple is gradually reducing the need for traditional interfaces. The company is not eliminating keyboards, touchscreens or gestures. Instead, it is making them less necessary in certain situations.

Apple’s WWDC 2026 highlights smarter Siri AI and deeper Apple Intelligence across devices including Vision Pro. Voice eye tracking and AI aim to simplify computing but experts say voice will likely complement not replace traditional interfaces.

Apple Vision Pro and smarter Siri AI: How effective and futuristic will it really be to control everything with voice?

At WWDC 2026, Apple outlined a future where technology understands users more naturally and helps them complete tasks simply by speaking, looking or asking. The company's latest announcements were not just about software updates. Together, they revealed Apple's long-term vision for the future of computing one where artificial intelligence, voice interaction and spatial computing work together across every Apple device.&nbsp;From the biggest Siri upgrade in the company's history to deeper Apple Intelligence integration and new Vision Pro capabilities, WWDC 2026 showed how Apple wants technology to become more helpful while fading further into the background.<h2>Siri is becoming the centre of the Apple ecosystem</h2>At the heart of Apple's vision is the new Siri AI. For years, Siri was mainly used for basic commands such as setting alarms, making calls or checking the weather. Apple now wants Siri to become a true digital assistant capable of understanding context, remembering information and taking actions across multiple apps and devices. According to Apple, Siri can now understand what is happening on a user's screen, search through messages, emails and files, and complete actions across different applications.For example, a user can ask Siri to find information from a previous conversation, create a calendar event, send a message and attach a document all through a single request. Instead of opening apps one by one, users can simply describe what they want to achieve. This shift may seem small, but it represents a major change in how people interact with technology. Rather than learning how devices work, devices are increasingly learning how people work.<h2>Apple Intelligence is connecting everything together</h2>Apple also expanded Apple Intelligence, the company's AI platform that now operates across iPhone, iPad, Mac, Apple Watch and Vision Pro. The goal is to create a connected experience where information flows naturally between devices. Imagine receiving a flight confirmation on your iPhone, discussing travel plans through Messages on your Mac and then receiving reminders on your Apple Watch all organised automatically by AI.&nbsp;Apple demonstrated how its intelligence system can understand information from different apps and help users complete tasks without manually moving between services. The company believes this approach makes technology feel less fragmented and more personal. Rather than acting as separate devices, Apple wants its ecosystem to function as a single intelligent system that understands users and their daily routines.<h2>Vision Pro offers a glimpse into the future</h2>One of the most important aspects of WWDC 2026 was Apple's continued investment in Vision Pro and spatial computing. While smartphones remain the centre of daily life for most people, Apple believes spatial computing could become the next major computing platform. Vision Pro allows users to interact with apps, information and digital content within their physical surroundings. With the latest visionOS updates and Apple Intelligence integration, Apple is making those experiences more intelligent and natural. Users can now interact with digital content using voice, eye tracking, gestures and AI-powered assistance. The combination of Siri AI and Vision Pro means users can increasingly perform tasks without touching a screen or keyboard. Industry analysts see this as part of Apple's broader effort to move computing beyond traditional displays and create more immersive experiences.<h2>From apps to actions</h2>A key theme across Apple's announcements was a shift from apps to actions. Traditionally, users open individual apps to perform tasks. In Apple's AI-powered future, users simply describe what they want to accomplish. Need to organise a trip? Siri can gather information from emails, calendars, maps and messages.Need to find a document mentioned weeks ago? Siri can search across apps and surface relevant information. Need to edit a photo and send it to someone? Siri can handle multiple steps automatically.This approach reduces the need to manually navigate complex software and allows technology to focus more on outcomes rather than processes.<h2>AI is becoming invisible</h2>Unlike some competitors that focus heavily on standalone AI chatbots, Apple is taking a different approach. The company is embedding artificial intelligence throughout its operating systems rather than requiring users to open a separate AI application.AI-powered writing tools, image editing, live translation, search functions and recommendations are now built directly into everyday apps. For many users, the goal is that artificial intelligence becomes almost invisible. Instead of actively seeking out AI tools, people simply benefit from them while using their devices normally. This strategy could make AI more accessible to millions of users who may never use dedicated chatbot applications.<h2>Privacy remains a key part of Apple's strategy</h2>Throughout WWDC 2026, Apple repeatedly highlighted privacy. Many Apple Intelligence features run directly on users' devices. When more processing power is required, requests are handled through Apple's Private Cloud Compute infrastructure. According to Apple, this approach allows advanced AI features while reducing the amount of personal information sent to external servers. Privacy has become an increasingly important topic as AI systems process larger amounts of user data, and Apple continues to position itself differently from some of its rivals in this area.

Apple’s WWDC 2026 reveals its AI-first future with smarter Siri, seamless Apple Intelligence and Vision Pro advances. Focus on voice, context and privacy signals a shift from apps to actions, making tech more intuitive and nearly invisible.

At WWDC 2026, Apple outlined a future where technology understands users more naturally and helps them complete tasks simply by speaking, looking or asking. The company's latest announcements were not just about software updates. Together, they revealed Apple's long-term vision for the future of computing one where artificial intelligence, voice interaction and spatial computing work together across every Apple device. From the biggest Siri upgrade in the company's history to deeper Apple Intelligence integration and new Vision Pro capabilities, WWDC 2026 showed how Apple wants technology to become more helpful while fading further into the background. Siri is becoming the centre of the Apple ecosystem At the heart of Apple's vision is the new Siri AI. For years, Siri was mainly used for basic commands such as setting alarms, making calls or checking the weather. Apple now wants Siri to become a true digital assistant capable of understanding context, remembering information and taking actions across multiple apps and devices. According to Apple, Siri can now understand what is happening on a user's screen, search through messages, emails and files, and complete actions across different applications. For example, a user can ask Siri to find information from a previous conversation, create a calendar event, send a message and attach a document all through a single request. Instead of opening apps one by one, users can simply describe what they want to achieve. This shift may seem small, but it represents a major change in how people interact with technology. Rather than learning how devices work, devices are increasingly learning how people work. Apple Intelligence is connecting everything together Apple also expanded Apple Intelligence, the company's AI platform that now operates across iPhone, iPad, Mac, Apple Watch and Vision Pro. The goal is to create a connected experience where information flows naturally between devices. Imagine receiving a flight confirmation on your iPhone, discussing travel plans through Messages on your Mac and then receiving reminders on your Apple Watch all organised automatically by AI. Apple demonstrated how its intelligence system can understand information from different apps and help users complete tasks without manually moving between services. The company believes this approach makes technology feel less fragmented and more personal. Rather than acting as separate devices, Apple wants its ecosystem to function as a single intelligent system that understands users and their daily routines. Vision Pro offers a glimpse into the future One of the most important aspects of WWDC 2026 was Apple's continued investment in Vision Pro and spatial computing. While smartphones remain the centre of daily life for most people, Apple believes spatial computing could become the next major computing platform. Vision Pro allows users to interact with apps, information and digital content within their physical surroundings. With the latest visionOS updates and Apple Intelligence integration, Apple is making those experiences more intelligent and natural. Users can now interact with digital content using voice, eye tracking, gestures and AI-powered assistance. The combination of Siri AI and Vision Pro means users can increasingly perform tasks without touching a screen or keyboard. Industry analysts see this as part of Apple's broader effort to move computing beyond traditional displays and create more immersive experiences. From apps to actions A key theme across Apple's announcements was a shift from apps to actions. Traditionally, users open individual apps to perform tasks. In Apple's AI-powered future, users simply describe what they want to accomplish. Need to organise a trip? Siri can gather information from emails, calendars, maps and messages. Need to find a document mentioned weeks ago? Siri can search across apps and surface relevant information. Need to edit a photo and send it to someone? Siri can handle multiple steps automatically. This approach reduces the need to manually navigate complex software and allows technology to focus more on outcomes rather than processes. AI is becoming invisible Unlike some competitors that focus heavily on standalone AI chatbots, Apple is taking a different approach. The company is embedding artificial intelligence throughout its operating systems rather than requiring users to open a separate AI application. AI-powered writing tools, image editing, live translation, search functions and recommendations are now built directly into everyday apps. For many users, the goal is that artificial intelligence becomes almost invisible. Instead of actively seeking out AI tools, people simply benefit from them while using their devices normally. This strategy could make AI more accessible to millions of users who may never use dedicated chatbot applications. Privacy remains a key part of Apple's strategy Throughout WWDC 2026, Apple repeatedly highlighted privacy. Many Apple Intelligence features run directly on users' devices. When more processing power is required, requests are handled through Apple's Private Cloud Compute infrastructure. According to Apple, this approach allows advanced AI features while reducing the amount of personal information sent to external servers. Privacy has become an increasingly important topic as AI systems process larger amounts of user data, and Apple continues to position itself differently from some of its rivals in this area.

Apple’s WWDC 2026 reveals its AI-first future with smarter Siri, seamless Apple Intelligence and Vision Pro advances. Focus on voice, context and privacy signals a shift from apps to actions, making tech more intuitive and nearly invisible.

Apple wants you to do more without touching your device: Here’s how Apple is redefining the future of computing

For years, Apple's Siri felt like something that wasn't getting major updates. But at WWDC 2026, Apple showed that what was earlier fiction and ideas are now real. They unveiled the next generation of Apple Intelligence, introducing a redesigned Siri AI and several new features designed to make everyday tasks faster and easier. According to Apple, the goal is not simply to add AI to the iPhone but to make the device understand users better and help them complete tasks with less effort.&nbsp;Some of the features announced during the event may sound futuristic, but many could soon become part of daily life for millions of iPhone users.<h2>Siri can now understand what is on your screen</h2>One of the biggest announcements at WWDC 2026 was the launch of the new Siri AI. Previously, Siri could answer questions or perform basic actions. Now, Apple says Siri can understand what is happening on your screen and use that information to help you.For example, if a friend sends an address through Messages, users can simply ask Siri to add it to a contact card. If someone shares flight details, Siri can save the information or help organise travel plans.&nbsp;According to Apple, Siri can also understand references from previous conversations, making interactions feel more natural and reducing the need to repeat information. Your iPhone can find information you forgot existed. Almost everyone has experienced the frustration of trying to find an old message, email, photo or document.<h2>Apple's new AI tools aim to solve that problem.</h2>During WWDC 2026, Apple demonstrated how Siri can search across messages, emails, notes and files using natural language. Instead of remembering where information is stored, users can simply describe what they are looking for. For example, a user could ask, "Find the restaurant my friend recommended last month," and Siri could search through conversations to locate the answer.The feature could save users significant time as digital information continues to grow across devices.<h2>AI can perform actions across multiple apps</h2>One of the most interesting upgrades announced by Apple involves cross-app actions. According to the company, Siri can now complete tasks that involve multiple applications at the same time.For instance, a user might ask Siri to find a photo, edit it, attach it to an email and send it to a specific contact. Instead of manually switching between apps, the assistant can handle much of the process automatically. Industry experts believe this capability moves Siri closer to becoming a true AI assistant rather than simply a voice-controlled tool.<h2>Visual Intelligence gets smarter</h2>Apple also expanded its Visual Intelligence technology. The feature allows users to point their camera at objects, places, products or documents and receive useful information instantly. For example, users could identify landmarks, gather information about products, extract details from posters or add event information directly to their calendars. Apple says Visual Intelligence is designed to help users interact with the world around them more naturally through their iPhone camera.<h2>AI photo editing becomes easier</h2>The Photos app is receiving several new AI-powered features. Users can now make edits using simple instructions instead of complicated editing tools. For example, someone could ask the app to remove an unwanted object, improve lighting or create a different visual style. The AI system then handles much of the editing process automatically. According to Apple, these tools are designed to help ordinary users create better photos without requiring professional editing skills.&nbsp;Live translation helps break language barriers&nbsp;Another major announcement was expanded live translation capabilities. Apple says the feature can translate messages, FaceTime conversations and phone calls in real time. This means two people speaking different languages can communicate more easily without needing a separate translation app. As international travel and global communication continue to grow, live translation could become one of the most practical AI features introduced by Apple.<h2>Smarter suggestions throughout the day</h2>Apple Intelligence is also becoming more proactive. The system can now provide personalised recommendations based on context, location, schedules and daily habits. For example, it may suggest leaving earlier for a meeting if traffic conditions change or remind users about important tasks based on conversations and calendar events. Unlike traditional notifications, these suggestions are designed to be more relevant to what users are doing at a specific moment.<h2>Privacy remains a major focus</h2>One area where Apple continues to differentiate itself is privacy. The company says many Apple Intelligence features run directly on the device. For more advanced requests, Apple uses its Private Cloud Compute system, which is designed to process data securely without storing personal information. Apple repeatedly highlighted privacy throughout WWDC 2026, arguing that users should not have to sacrifice personal data to access advanced AI capabilities.

Apple’s WWDC 2026 brings a smarter Siri with screen awareness, cross-app actions and powerful Apple Intelligence. From AI photo editing to live translation, iPhone gets faster, more intuitive and privacy-focused features for everyday use.

For years, Apple's Siri felt like something that wasn't getting major updates. But at WWDC 2026, Apple showed that what was earlier fiction and ideas are now real. They unveiled the next generation of Apple Intelligence, introducing a redesigned Siri AI and several new features designed to make everyday tasks faster and easier. According to Apple, the goal is not simply to add AI to the iPhone but to make the device understand users better and help them complete tasks with less effort. Some of the features announced during the event may sound futuristic, but many could soon become part of daily life for millions of iPhone users. Siri can now understand what is on your screen One of the biggest announcements at WWDC 2026 was the launch of the new Siri AI. Previously, Siri could answer questions or perform basic actions. Now, Apple says Siri can understand what is happening on your screen and use that information to help you. For example, if a friend sends an address through Messages, users can simply ask Siri to add it to a contact card. If someone shares flight details, Siri can save the information or help organise travel plans. According to Apple, Siri can also understand references from previous conversations, making interactions feel more natural and reducing the need to repeat information. Your iPhone can find information you forgot existed. Almost everyone has experienced the frustration of trying to find an old message, email, photo or document. Apple's new AI tools aim to solve that problem. During WWDC 2026, Apple demonstrated how Siri can search across messages, emails, notes and files using natural language. Instead of remembering where information is stored, users can simply describe what they are looking for. For example, a user could ask, "Find the restaurant my friend recommended last month," and Siri could search through conversations to locate the answer. The feature could save users significant time as digital information continues to grow across devices. AI can perform actions across multiple apps One of the most interesting upgrades announced by Apple involves cross-app actions. According to the company, Siri can now complete tasks that involve multiple applications at the same time. For instance, a user might ask Siri to find a photo, edit it, attach it to an email and send it to a specific contact. Instead of manually switching between apps, the assistant can handle much of the process automatically. Industry experts believe this capability moves Siri closer to becoming a true AI assistant rather than simply a voice-controlled tool. Visual Intelligence gets smarter Apple also expanded its Visual Intelligence technology. The feature allows users to point their camera at objects, places, products or documents and receive useful information instantly. For example, users could identify landmarks, gather information about products, extract details from posters or add event information directly to their calendars. Apple says Visual Intelligence is designed to help users interact with the world around them more naturally through their iPhone camera. AI photo editing becomes easier The Photos app is receiving several new AI-powered features. Users can now make edits using simple instructions instead of complicated editing tools. For example, someone could ask the app to remove an unwanted object, improve lighting or create a different visual style. The AI system then handles much of the editing process automatically. According to Apple, these tools are designed to help ordinary users create better photos without requiring professional editing skills. Live translation helps break language barriers Another major announcement was expanded live translation capabilities. Apple says the feature can translate messages, FaceTime conversations and phone calls in real time. This means two people speaking different languages can communicate more easily without needing a separate translation app. As international travel and global communication continue to grow, live translation could become one of the most practical AI features introduced by Apple. Smarter suggestions throughout the day Apple Intelligence is also becoming more proactive. The system can now provide personalised recommendations based on context, location, schedules and daily habits. For example, it may suggest leaving earlier for a meeting if traffic conditions change or remind users about important tasks based on conversations and calendar events. Unlike traditional notifications, these suggestions are designed to be more relevant to what users are doing at a specific moment. Privacy remains a major focus One area where Apple continues to differentiate itself is privacy. The company says many Apple Intelligence features run directly on the device. For more advanced requests, Apple uses its Private Cloud Compute system, which is designed to process data securely without storing personal information. Apple repeatedly highlighted privacy throughout WWDC 2026, arguing that users should not have to sacrifice personal data to access advanced AI capabilities.

Apple’s WWDC 2026 brings a smarter Siri with screen awareness, cross-app actions and powerful Apple Intelligence. From AI photo editing to live translation, iPhone gets faster, more intuitive and privacy-focused features for everyday use.

Seems like fiction, but it's not: Know how these Apple AI features could completely change how you use your iPhone

Apple has unveiled its biggest artificial intelligence push yet at the Worldwide Developers Conference (WWDC) 2026, placing AI at the centre of its software strategy across the iPhone, iPad, Mac, Apple Watch and Vision Pro.The annual developer conference, held at Apple Park in California, introduced a redesigned Siri, new Apple Intelligence features, AI-powered tools across core apps and updates to iOS 27, macOS 27, iPadOS 27 and visionOS 27. Apple says the goal is simple: make its devices more helpful, more personal and easier to use without compromising privacy. The announcements come as Apple faces growing competition from AI leaders including OpenAI, Google, Microsoft and Anthropic.<h2>Siri gets its biggest upgrade since launch</h2>The biggest announcement from WWDC 2026 was the launch of Siri AI, a complete redesign of Apple's voice assistant. Apple says the new Siri is more conversational, more context-aware and better at understanding what users are trying to do. Unlike earlier versions, Siri AI can follow complex conversations, remember context from previous requests and perform multi-step tasks across apps.The upgraded assistant can:Understand on-screen content Search through messages and photos Find information from previous conversations Retrieve saved and unsaved details Provide more natural responsesApple also introduced a dedicated Siri AI app, allowing users to interact with the assistant in a chatbot-style interface similar to ChatGPT, Claude and Gemini. The company said Siri AI will enter beta later this year.<h2>Apple Intelligence expands across the ecosystem</h2>Apple also announced major updates to Apple Intelligence, the company's AI platform. The technology is now being integrated deeper into Apple's operating systems and applications. According to Apple, users will see AI-powered features in Safari, Photos, Messages, Phone, Passwords and other core apps.Some of the new capabilities include:AI-assisted photo editing Smarter content recommendations Enhanced search tools Better text generation Context-aware suggestionsApple says many of these features will run directly on-device, while more complex requests will use the company's Private Cloud Compute infrastructure to maintain privacy.<h2>iOS 27 introduces smarter features</h2>Apple's latest iPhone operating system, iOS 27, received several AI-focused upgrades. The new software includes a redesigned Siri experience, enhanced Visual Intelligence features and improvements across productivity apps. Users will also gain access to AI-powered image editing tools, smarter notifications and contextual assistance during phone calls.They also refined its Liquid Glass interface after feedback from users, adding greater customization options and improving readability.According to Apple, iOS 27 will be available on devices as old as the iPhone 11, helping bring AI features to a wider user base.Vision Pro and Macs get AI upgrades too Apple extended its AI ambitions beyond smartphones.For Vision Pro users, visionOS 27 introduces Siri AI integration, allowing users to interact with both digital and physical environments using voice commands and AI-powered assistance. Apple also announced new immersive features, improved multitasking and faster wireless performance.Mac users will receive macOS 27, which includes deeper Apple Intelligence integration, updated productivity tools and improvements to system performance. Apple says the software is designed to make everyday tasks more efficient through AI assistance.<h2>Privacy remains central to Apple's AI strategy</h2>While many AI companies focus on building larger models and cloud-based services, Apple continues to emphasise privacy. The company reiterated that many Apple Intelligence features process information directly on users' devices. When cloud computing is required, Apple says requests are handled through Private Cloud Compute, which is designed to protect user information.Apple executives repeatedly highlighted privacy as a key differentiator between Apple's approach and that of some competitors.

Apple unveils major AI push at WWDC 2026 with smarter Siri, Apple Intelligence upgrades and AI features across iPhone, Mac and Vision Pro. Focus on privacy, on-device processing and seamless user experience marks Apple’s biggest AI leap yet.

Apple has unveiled its biggest artificial intelligence push yet at the Worldwide Developers Conference (WWDC) 2026, placing AI at the centre of its software strategy across the iPhone, iPad, Mac, Apple Watch and Vision Pro. The annual developer conference, held at Apple Park in California, introduced a redesigned Siri, new Apple Intelligence features, AI-powered tools across core apps and updates to iOS 27, macOS 27, iPadOS 27 and visionOS 27. Apple says the goal is simple: make its devices more helpful, more personal and easier to use without compromising privacy. The announcements come as Apple faces growing competition from AI leaders including OpenAI, Google, Microsoft and Anthropic. Siri gets its biggest upgrade since launch The biggest announcement from WWDC 2026 was the launch of Siri AI, a complete redesign of Apple's voice assistant. Apple says the new Siri is more conversational, more context-aware and better at understanding what users are trying to do. Unlike earlier versions, Siri AI can follow complex conversations, remember context from previous requests and perform multi-step tasks across apps. The upgraded assistant can: Understand on-screen content Search through messages and photos Find information from previous conversations Retrieve saved and unsaved details Provide more natural responses Apple also introduced a dedicated Siri AI app, allowing users to interact with the assistant in a chatbot-style interface similar to ChatGPT, Claude and Gemini. The company said Siri AI will enter beta later this year. Apple Intelligence expands across the ecosystem Apple also announced major updates to Apple Intelligence, the company's AI platform. The technology is now being integrated deeper into Apple's operating systems and applications. According to Apple, users will see AI-powered features in Safari, Photos, Messages, Phone, Passwords and other core apps. Some of the new capabilities include: AI-assisted photo editing Smarter content recommendations Enhanced search tools Better text generation Context-aware suggestions Apple says many of these features will run directly on-device, while more complex requests will use the company's Private Cloud Compute infrastructure to maintain privacy. iOS 27 introduces smarter features Apple's latest iPhone operating system, iOS 27, received several AI-focused upgrades. The new software includes a redesigned Siri experience, enhanced Visual Intelligence features and improvements across productivity apps. Users will also gain access to AI-powered image editing tools, smarter notifications and contextual assistance during phone calls. They also refined its Liquid Glass interface after feedback from users, adding greater customization options and improving readability. According to Apple, iOS 27 will be available on devices as old as the iPhone 11, helping bring AI features to a wider user base. Vision Pro and Macs get AI upgrades too Apple extended its AI ambitions beyond smartphones. For Vision Pro users, visionOS 27 introduces Siri AI integration, allowing users to interact with both digital and physical environments using voice commands and AI-powered assistance. Apple also announced new immersive features, improved multitasking and faster wireless performance. Mac users will receive macOS 27, which includes deeper Apple Intelligence integration, updated productivity tools and improvements to system performance. Apple says the software is designed to make everyday tasks more efficient through AI assistance. Privacy remains central to Apple's AI strategy While many AI companies focus on building larger models and cloud-based services, Apple continues to emphasise privacy. The company reiterated that many Apple Intelligence features process information directly on users' devices. When cloud computing is required, Apple says requests are handled through Private Cloud Compute, which is designed to protect user information. Apple executives repeatedly highlighted privacy as a key differentiator between Apple's approach and that of some competitors.

Apple unveils major AI push at WWDC 2026 with smarter Siri, Apple Intelligence upgrades and AI features across iPhone, Mac and Vision Pro. Focus on privacy, on-device processing and seamless user experience marks Apple’s biggest AI leap yet.

WWDC 2026: How Apple is making devices smarter than ever, everything you need to know

AI — a boon, a bane, or a threat? This question may seem rhetorical, but it is a stark reality today. When India’s first computer was imported from England in 1955, murmurs that it would gobble up jobs had already begun. By the late 1990s, computers were still novelties in some households, but the technology soon caught pace. I remember using the mighty machine for my school projects; its reputation was shifting from a "monster” to a friendly giant. The fear of the unknown was disappearing; it did change job structures and also nudged those who refused to adapt to changing times.&nbsp;Fast forward to 2026, and artificial intelligence (AI) is no longer the unknown, though we have not yet opened up to it completely. Some are hesitant, while others are curious, but AI is steadily navigating its way into our everyday lives.&nbsp;<h2>What do educators think of AI?</h2>&nbsp;WION spoke to educators to understand their views on this potentially "friendly monster". Sugandha Arora, an IB educator, is confident that AI is here to stay. “I strongly believe in personalised learning and teaching. There is a lot of context that I have to give to AI for it to help in planning, and even then, I have to modify the output to fit the students’ emotional needs,” she explained.&nbsp;However, she believes it helps do away with mundane, repetitive tasks. In these situations, she views it as a boon, as her time can be better utilised for creative tasks such as designing lessons where she believes AI’s use remains limited. Adding another layer to teaching, another educator, Monica Jain, said, “AI can lead to overdependence, may provide incorrect information, and raises concerns about privacy and plagiarism.”&nbsp;While Jain, who has been teaching for over two decades, agrees, “It saves time and improves efficiency.” The crux of which remains that human interaction is key to learning.&nbsp;She confidently concluded, “I do not think my job is in danger. AI can assist teachers, but it cannot replace human qualities such as empathy, emotional understanding, mentoring, and critical thinking." However, she believes that everyone should learn to use the tool, as with most advancements, resisting this would not bear any fruit.&nbsp;&nbsp;

AI isn't replacing teachers; it's empowering them. Discover how educators are using artificial intelligence to automate grading, personalise lesson plans, and reclaim valuable time.

AI — a boon, a bane, or a threat? This question may seem rhetorical, but it is a stark reality today. When India’s first computer was imported from England in 1955, murmurs that it would gobble up jobs had already begun. By the late 1990s, computers were still novelties in some households, but the technology soon caught pace. I remember using the mighty machine for my school projects; its reputation was shifting from a "monster” to a friendly giant. The fear of the unknown was disappearing; it did change job structures and also nudged those who refused to adapt to changing times. Fast forward to 2026, and artificial intelligence (AI) is no longer the unknown, though we have not yet opened up to it completely. Some are hesitant, while others are curious, but AI is steadily navigating its way into our everyday lives. What do educators think of AI? WION spoke to educators to understand their views on this potentially "friendly monster". Sugandha Arora, an IB educator, is confident that AI is here to stay. “I strongly believe in personalised learning and teaching. There is a lot of context that I have to give to AI for it to help in planning, and even then, I have to modify the output to fit the students’ emotional needs,” she explained. However, she believes it helps do away with mundane, repetitive tasks. In these situations, she views it as a boon, as her time can be better utilised for creative tasks such as designing lessons where she believes AI’s use remains limited. Adding another layer to teaching, another educator, Monica Jain, said, “AI can lead to overdependence, may provide incorrect information, and raises concerns about privacy and plagiarism.” While Jain, who has been teaching for over two decades, agrees, “It saves time and improves efficiency.” The crux of which remains that human interaction is key to learning. She confidently concluded, “I do not think my job is in danger. AI can assist teachers, but it cannot replace human qualities such as empathy, emotional understanding, mentoring, and critical thinking." However, she believes that everyone should learn to use the tool, as with most advancements, resisting this would not bear any fruit.

AI isn't replacing teachers; it's empowering them. Discover how educators are using artificial intelligence to automate grading, personalise lesson plans, and reclaim valuable time.

Can help but can’t replace? Here’s how AI is changing lives of educators

Artificial intelligence is reshaping biology at both ends of the moral spectrum, by accelerating cures for diseases while lowering the barrier to potential global devastation. With deep machine learning in areas like gene editing, AI is rewriting the code of life. But it can also be misused as a tool for crafting biological weapons. In a rare consensus, many AI bosses are joining the concerns and debate among researchers. Here is a situation report:<h2>AI is already a working tool in genome editing</h2>OpenCRISPR-1 is possibly the first gene editor designed entirely by AI. Its large language models (LLMs) were trained on around 239,000 Cas9 proteins, producing an editor hundreds of mutations from any natural one. Deep-learning tools such as ABEdeepoff and CBEdeepoff can now predict gene editing outcomes with mindboggling accuracy. Critics are pushing back, with UC Berkeley's Fyodor Urnov dismissing embryo editing as “a solution in search of a problem.”.<a href="https://www.wionews.com/videos/ai-tells-scientists-how-to-make-biological-weapons-1779736553469/embed">https://www.wionews.com/videos/ai-tells-scientists-how-to-make-biological-weapons-1779736553469/embed</a><h2>AI the Destroyer: The bioweapons alarm</h2>The same AI tools that design medicines can also design pathogens. On June 3, an open letter organised by the Institute for Progress and the Foundation for American Innovation had a curious mix of signatories in that it included many top players in AI. They were: Sam Altman of OpenAI, Dario Amodei of Anthropic, Demis Hassabis of Google DeepMind, Mustafa Suleyman of Microsoft AI, and Alexandr Wang of Meta. Also among the signatories were national security officials, scientists and DNA-synthesis firms including Twist Bioscience and Ansa Biotechnologies.Their shared concern? AI is fast dissolving the expertise that once kept bioweapons out of reach. The letter warned that those knowledge barriers "will meaningfully erode."Also read: <a href="https://www.wionews.com/world/found-30-biological-labs-in-ukraine-possibly-for-bioweapons-claim-russian-forces-460189">Found 30 biological labs in Ukraine, possibly for bioweapons, claim Russian forces</a><h2>Are we talking about chatbots or AI agents building viruses?&nbsp;</h2>It is quite possible, as LLMs can help design new toxins and pathogens, though some lab skill is still required to build a functional one. Stanford biosecurity expert David Relman recently warned that AI can point users to suppliers that won't screen orders and coach them on altering an order to slip through. In the worst-case senatio, an AI-designed pathogen can spark a global pandemic, intentionally or by accident.&nbsp;<h2>What the open letter on the possible bioweapons risk of AI seeks</h2>The signatories wanted the US Congress to mandate the screening of all synthetic DNA/RNA orders, which is currently a voluntary process. They require record-keeping of orders and specifications to aid biosecurity investigations. Still there is danger that such screening can miss brand-new sequences and short DNA fragments.Also read: <a href="https://www.wionews.com/science/ai-based-chatbots-could-help-plan-bioweapon-attacks-report-648082">AI-based chatbots could help plan bioweapon attacks: Report</a><h2>The promise and peril of AI that runs on the same engine</h2>The AI labs are lobbying for guardrails against the destroyer side of the technlogy, even as they keep racing to build on the creator side of AI. The way out could be regulator scruity of all types gene editing and pathogen modifications, whether to create medicines or babies.

Artificial intelligence is transforming biomedicine, including areas like gene editing and medicine. Now, fears are being expressed about possible AI-designed pathogens and bioweapons. AI leaders, scientists, and policymakers are urging stronger safeguards.

Artificial intelligence is reshaping biology at both ends of the moral spectrum, by accelerating cures for diseases while lowering the barrier to potential global devastation. With deep machine learning in areas like gene editing, AI is rewriting the code of life. But it can also be misused as a tool for crafting biological weapons. In a rare consensus, many AI bosses are joining the concerns and debate among researchers. Here is a situation report: AI is already a working tool in genome editing OpenCRISPR-1 is possibly the first gene editor designed entirely by AI. Its large language models (LLMs) were trained on around 239,000 Cas9 proteins, producing an editor hundreds of mutations from any natural one. Deep-learning tools such as ABEdeepoff and CBEdeepoff can now predict gene editing outcomes with mindboggling accuracy. Critics are pushing back, with UC Berkeley's Fyodor Urnov dismissing embryo editing as “a solution in search of a problem.”. https://www.wionews.com/videos/ai-tells-scientists-how-to-make-biological-weapons-1779736553469/embed AI the Destroyer: The bioweapons alarm The same AI tools that design medicines can also design pathogens. On June 3, an open letter organised by the Institute for Progress and the Foundation for American Innovation had a curious mix of signatories in that it included many top players in AI. They were: Sam Altman of OpenAI, Dario Amodei of Anthropic, Demis Hassabis of Google DeepMind, Mustafa Suleyman of Microsoft AI, and Alexandr Wang of Meta. Also among the signatories were national security officials, scientists and DNA-synthesis firms including Twist Bioscience and Ansa Biotechnologies. Their shared concern? AI is fast dissolving the expertise that once kept bioweapons out of reach. The letter warned that those knowledge barriers "will meaningfully erode." Also read: Found 30 biological labs in Ukraine, possibly for bioweapons, claim Russian forces Are we talking about chatbots or AI agents building viruses? It is quite possible, as LLMs can help design new toxins and pathogens, though some lab skill is still required to build a functional one. Stanford biosecurity expert David Relman recently warned that AI can point users to suppliers that won't screen orders and coach them on altering an order to slip through. In the worst-case senatio, an AI-designed pathogen can spark a global pandemic, intentionally or by accident. What the open letter on the possible bioweapons risk of AI seeks The signatories wanted the US Congress to mandate the screening of all synthetic DNA/RNA orders, which is currently a voluntary process. They require record-keeping of orders and specifications to aid biosecurity investigations. Still there is danger that such screening can miss brand-new sequences and short DNA fragments. Also read: AI-based chatbots could help plan bioweapon attacks: Report The promise and peril of AI that runs on the same engine The AI labs are lobbying for guardrails against the destroyer side of the technlogy, even as they keep racing to build on the creator side of AI. The way out could be regulator scruity of all types gene editing and pathogen modifications, whether to create medicines or babies.

Artificial intelligence is transforming biomedicine, including areas like gene editing and medicine. Now, fears are being expressed about possible AI-designed pathogens and bioweapons. AI leaders, scientists, and policymakers are urging stronger safeguards.

AI gene editing, bioweapons concerns spook AI bosses, researchers: Creator or destroyer?

OpenAI, the AI firm behind the popular chatbot ChatGPT, is reportedly planning a superapp. While Sam Altman-led OpenAI is yet to make any formal statement, the super app has been in discussions ahead of the company's stock market debut.<h2>OpenAI superapp: What reports are saying</h2>According to reports in Financial Tims and other outlets, OpenAI is merging ChatGPT, Codex, and its browser into one desktop superapp. The aim is to turn ChatGPT from a standard question-and-answer chatbot into a comprehensive superapp. The FT report cited sources as saying that the future of AI belongs to autonomous agents capable of executing complex, multi-step tasks like &nbsp;booking flight tickets or managing calendars, &nbsp;rather than simply answering queries.Also read: <a href="https://www.wionews.com/world/openai-ceo-seeks-expanded-ai-testing-rejects-pre-release-government-approval-rules-1780553999229">OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules</a><h2>OpenAI superapp will have coding tools front and centre</h2>The overhaul, expected to roll out in the coming weeks, will give prominence and resources to OpenAI's coding product Codex. The offerings will initially appear as updates to ChatGPT's website and mobile apps. Codex active user base increased sixfold to more than 5 million weekly since launch, and most are paying users.&nbsp;<a href="https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed">https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed</a><h2>OpenAI interface redesign to funnel users toward new capabilities</h2>OpenAI is redesigning ChatGPT's interface with new prompts and features steering users toward coding tools, image generation and partner services such as Canva and Booking.com. The partner integrations - &nbsp;apps built by third parties living inside ChatGPT, similar to the Google Play Store ecosystem - are the most "superapp-like" element. The experience might be similar to the Chinese WeChat, where one app hosts many services. OpenAI agents will deploy for multi-step task execution.Also read: <a href="https://www.wionews.com/world/trump-administration-government-stake-openai-sam-altman-1780749692161">Trump administration explores potential government stake in OpenAI</a><h2>OpenAI is still not revealing much about superapp plans</h2>OpenAI had confirmed the superapp reports back in March, but only in broad strokes. ChatGPT currently has around 900 million weekly active users. OpenAI surpassed 50 million consumer subscribers earlier this year, with 2 million business customers accounting for roughly 40 per cent of revenue, which might rise to 50 per cent by year-end.Some reports claimed that the superapp could launch as early as this week, and talked about a developer portal called "Aria Hub." Hardware and software requirements include Windows 11 24H2 and NPU acceleration, according to these uncorroborated reports.&nbsp;While the reports are not confirmed, the direction appears to be an enterprise product competition between OpenAI and Anthropic as both AI firms head for IPOs.

OpenAI is reportedly developing a superapp that combines Codex, browser features, AI agents, image generation and third-party app integrations. The AI firm is not revealing much, but it's a play ahead of is upcoming IPO.

OpenAI, the AI firm behind the popular chatbot ChatGPT, is reportedly planning a superapp. While Sam Altman-led OpenAI is yet to make any formal statement, the super app has been in discussions ahead of the company's stock market debut. OpenAI superapp: What reports are saying According to reports in Financial Tims and other outlets, OpenAI is merging ChatGPT, Codex, and its browser into one desktop superapp. The aim is to turn ChatGPT from a standard question-and-answer chatbot into a comprehensive superapp. The FT report cited sources as saying that the future of AI belongs to autonomous agents capable of executing complex, multi-step tasks like booking flight tickets or managing calendars, rather than simply answering queries. Also read: OpenAI CEO seeks expanded AI testing, rejects pre-release government approval rules OpenAI superapp will have coding tools front and centre The overhaul, expected to roll out in the coming weeks, will give prominence and resources to OpenAI's coding product Codex. The offerings will initially appear as updates to ChatGPT's website and mobile apps. Codex active user base increased sixfold to more than 5 million weekly since launch, and most are paying users. https://www.wionews.com/videos/florida-sues-openai-over-alleged-chatgpt-risks-safety-concerns-1780387002286/embed OpenAI interface redesign to funnel users toward new capabilities OpenAI is redesigning ChatGPT's interface with new prompts and features steering users toward coding tools, image generation and partner services such as Canva and Booking.com. The partner integrations - apps built by third parties living inside ChatGPT, similar to the Google Play Store ecosystem - are the most "superapp-like" element. The experience might be similar to the Chinese WeChat, where one app hosts many services. OpenAI agents will deploy for multi-step task execution. Also read: Trump administration explores potential government stake in OpenAI OpenAI is still not revealing much about superapp plans OpenAI had confirmed the superapp reports back in March, but only in broad strokes. ChatGPT currently has around 900 million weekly active users. OpenAI surpassed 50 million consumer subscribers earlier this year, with 2 million business customers accounting for roughly 40 per cent of revenue, which might rise to 50 per cent by year-end. Some reports claimed that the superapp could launch as early as this week, and talked about a developer portal called "Aria Hub." Hardware and software requirements include Windows 11 24H2 and NPU acceleration, according to these uncorroborated reports. While the reports are not confirmed, the direction appears to be an enterprise product competition between OpenAI and Anthropic as both AI firms head for IPOs.

OpenAI is reportedly developing a superapp that combines Codex, browser features, AI agents, image generation and third-party app integrations. The AI firm is not revealing much, but it's a play ahead of is upcoming IPO.

OpenAI is planning a superapp ahead of IPO. What reports are claiming

Meta is leaking your phone number right now and it does not even need to be hacked for it to happen. On June 7, 2026, a user on X posted a viral thread exposing a shocking vulnerability in Instagram's most basic feature: the password recovery flow. When someone attempts to recover an Instagram account, the system displays the full phone number and email address linked to that account in plain text. The researcher deliberately blurred and hid the numbers in their screenshots before posting, to protect the individuals involved. But the data Instagram revealed was completely unmasked. The full digits. The full email. For anyone. Including global celebrities like Kylie Jenner and Kylian Mbappe.&nbsp;The Instagram Password Recovery Flaw&nbsp;The flaw is as straightforward as it is alarming. Instagram's account recovery page, which is publicly accessible to anyone who enters a username, displays the complete contact details tied to that account during the password reset process. There is no authentication required to trigger this. No verification that the person requesting recovery is actually the account owner. A bad actor with nothing but a celebrity's Instagram username, information that is by definition public, can retrieve their personal phone number and email address in seconds. The user on X who exposed this described it bluntly: Instagram is straight-up leaking celebrity phone numbers and emails right now. Their question to Meta remains unanswered: is this a bug, or is it a dangerous feature?&nbsp;17.5 Million Accounts Already on the Dark Web&nbsp;This is not a theoretical risk. In January 2026, a threat actor dumped a dataset of 17.5 million Instagram accounts on dark web forums. The leaked data contained usernames, real names, account IDs, email addresses, phone numbers, and partial location information. Security investigators who analysed the dataset confirmed they could identify high-profile individuals including footballer Kylian Mbappe and Georgina Rodriguez, partner of Cristiano Ronaldo. Meta dismissed the incident, claiming there was no breach of its systems. The 17.5 million entries of real user data sitting on the dark web disagree.&nbsp;Meta's Own AI Agent Went Rogue&nbsp;The Instagram recovery flaw and the 17.5 million account leak are not isolated incidents, they are symptoms of a company that has lost control of its own systems. In March 2026, an autonomous AI agent operating inside Meta's internal infrastructure triggered a Sev-1 security incident, the second-highest severity classification in the company's system. The AI agent autonomously posted a technical solution on an internal forum without any human approval. When that solution was implemented, it exposed proprietary source code and sensitive user data to hundreds of Meta employees who had no authorisation to access it. The breach lasted two full hours before anyone at Meta noticed.&nbsp;Weeks before the Sev-1 incident, Meta's own director of alignment at its Superintelligence Labs publicly admitted that she connected a Meta AI agent to manage her email inbox with explicit instructions to always ask before taking actions. The agent ignored those instructions and began autonomously deleting large portions of her inbox without permission. If Meta's own AI leadership cannot trust Meta AI to follow basic commands, no ordinary user should trust it with their personal data.&nbsp;Meta Contractors Were Reading Your Private Conversations&nbsp;The privacy violations go even further. Investigations revealed that Meta contractors reviewing Meta AI chat interactions had unrestricted access to unredacted personal data, names, phone numbers, email addresses, gender, hobbies, locations, job titles, and selfies of users who believed their conversations with Meta AI were private. Human reviewers were reading users' medical questions, legal queries, and personal confessions. Some of this content was even briefly surfacing in a public feed visible to other users. Meta built a product that promised convenience and delivered a surveillance operation.&nbsp;350 Million Indians Are Exposed&nbsp;India has over 350 million Instagram users. The password recovery vulnerability alone means that every Indian Instagram user whose phone number is linked to their account can have that number extracted by anyone who knows their username. Combined with the 17.5 million account leak and Meta AI's data handling failures, the exposure facing Indian users is enormous. Identity theft, targeted phishing, financial fraud, and SIM swap attacks all become trivially easy when the attacker already has your full phone number, handed to them directly by Instagram itself.&nbsp;What You Must Do Right Now&nbsp;Remove your phone number from your Instagram account settings immediately if it is not essential. Use email-only recovery. Enable two-factor authentication through an authenticator app, not SMS. Restrict who can find your account by phone number in your privacy settings. Do not share sensitive information with Meta AI under any circumstances. Meta has demonstrated repeatedly, through the recovery flaw, through the 17.5 million account dump, through rogue AI agents, through contractor access to private messages, that it cannot be trusted to protect your personal information. The only person standing between your data and Meta is you. But even with the correction, there is no way to guarantee that Meta's AI won't ban your account.

<blockquote class="twitter-tweet">What do you think bug or dangerous feature? Instagram is straight-up leaking celebrity phone numbers &amp; emails right now. 😬 Ever tried recovering your Instagram password and suddenly saw someone’s full email &amp; phone number? Yeah, that’s happening with big accounts right now,… <a href="https://t.co/VI4TmOsQTf">pic.twitter.com/VI4TmOsQTf</a>&mdash; Md Ismail Šojal 🕷️ (@0x0SojalSec) <a href="https://x.com/0x0SojalSec/status/2063362193199128942?ref_src=twsrc%5Etfw">June 6, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

Instagram is exposing full phone numbers through password recovery. 17.5 million accounts on the dark web. Meta AI went rogue in a Sev-1 breach. Your data on Meta is not safe.

Meta is leaking your phone number right now and it does not even need to be hacked for it to happen. On June 7, 2026, a user on X posted a viral thread exposing a shocking vulnerability in Instagram's most basic feature: the password recovery flow. When someone attempts to recover an Instagram account, the system displays the full phone number and email address linked to that account in plain text. The researcher deliberately blurred and hid the numbers in their screenshots before posting, to protect the individuals involved. But the data Instagram revealed was completely unmasked. The full digits. The full email. For anyone. Including global celebrities like Kylie Jenner and Kylian Mbappe. The Instagram Password Recovery Flaw The flaw is as straightforward as it is alarming. Instagram's account recovery page, which is publicly accessible to anyone who enters a username, displays the complete contact details tied to that account during the password reset process. There is no authentication required to trigger this. No verification that the person requesting recovery is actually the account owner. A bad actor with nothing but a celebrity's Instagram username, information that is by definition public, can retrieve their personal phone number and email address in seconds. The user on X who exposed this described it bluntly: Instagram is straight-up leaking celebrity phone numbers and emails right now. Their question to Meta remains unanswered: is this a bug, or is it a dangerous feature? 17.5 Million Accounts Already on the Dark Web This is not a theoretical risk. In January 2026, a threat actor dumped a dataset of 17.5 million Instagram accounts on dark web forums. The leaked data contained usernames, real names, account IDs, email addresses, phone numbers, and partial location information. Security investigators who analysed the dataset confirmed they could identify high-profile individuals including footballer Kylian Mbappe and Georgina Rodriguez, partner of Cristiano Ronaldo. Meta dismissed the incident, claiming there was no breach of its systems. The 17.5 million entries of real user data sitting on the dark web disagree. Meta's Own AI Agent Went Rogue The Instagram recovery flaw and the 17.5 million account leak are not isolated incidents, they are symptoms of a company that has lost control of its own systems. In March 2026, an autonomous AI agent operating inside Meta's internal infrastructure triggered a Sev-1 security incident, the second-highest severity classification in the company's system. The AI agent autonomously posted a technical solution on an internal forum without any human approval. When that solution was implemented, it exposed proprietary source code and sensitive user data to hundreds of Meta employees who had no authorisation to access it. The breach lasted two full hours before anyone at Meta noticed. Weeks before the Sev-1 incident, Meta's own director of alignment at its Superintelligence Labs publicly admitted that she connected a Meta AI agent to manage her email inbox with explicit instructions to always ask before taking actions. The agent ignored those instructions and began autonomously deleting large portions of her inbox without permission. If Meta's own AI leadership cannot trust Meta AI to follow basic commands, no ordinary user should trust it with their personal data. Meta Contractors Were Reading Your Private Conversations The privacy violations go even further. Investigations revealed that Meta contractors reviewing Meta AI chat interactions had unrestricted access to unredacted personal data, names, phone numbers, email addresses, gender, hobbies, locations, job titles, and selfies of users who believed their conversations with Meta AI were private. Human reviewers were reading users' medical questions, legal queries, and personal confessions. Some of this content was even briefly surfacing in a public feed visible to other users. Meta built a product that promised convenience and delivered a surveillance operation. 350 Million Indians Are Exposed India has over 350 million Instagram users. The password recovery vulnerability alone means that every Indian Instagram user whose phone number is linked to their account can have that number extracted by anyone who knows their username. Combined with the 17.5 million account leak and Meta AI's data handling failures, the exposure facing Indian users is enormous. Identity theft, targeted phishing, financial fraud, and SIM swap attacks all become trivially easy when the attacker already has your full phone number, handed to them directly by Instagram itself. What You Must Do Right Now Remove your phone number from your Instagram account settings immediately if it is not essential. Use email-only recovery. Enable two-factor authentication through an authenticator app, not SMS. Restrict who can find your account by phone number in your privacy settings. Do not share sensitive information with Meta AI under any circumstances. Meta has demonstrated repeatedly, through the recovery flaw, through the 17.5 million account dump, through rogue AI agents, through contractor access to private messages, that it cannot be trusted to protect your personal information. The only person standing between your data and Meta is you. But even with the correction, there is no way to guarantee that Meta's AI won't ban your account.

A user on X exposed that Instagram is displaying full phone numbers and emails of celebrities during password recovery. Combined with Meta AI's rogue data breaches and 17.5 million leaked accounts, your personal data on Meta's platforms is no longer safe.

Did Meta AI just leaked Kylie Jenner and Mbappe's phone numbers? Yours could be next..

Instagram is dying. Not slowly, not gracefully, and not because a better platform came along. It is being murdered from the inside by its own parent company. Meta's relentless, tone-deaf integration of AI into every corner of the Instagram experience is achieving something no competitor ever could, it is making users actively hate the platform. And if the current trajectory holds, industry analysts believe Instagram could face a user collapse of historic proportions within the next few months.&nbsp;The AI Nobody Wanted&nbsp;Meta AI was not something Instagram users asked for. Nobody opened their DMs hoping a chatbot would insert itself into private conversations. Nobody searched for a restaurant recommendation expecting an AI hallucination instead of real user reviews. Nobody wanted their Explore page flooded with AI-generated slop that the algorithm now prioritises over content from human creators they actually follow. Yet this is exactly what Meta has delivered and it has done so with zero option to opt out.&nbsp;The backlash is not theoretical. It is measurable. App analytics firms have reported a sharp decline in daily active usage time on Instagram across key demographics in India, the United States, and Europe. Users are not just complaining on X, they are closing the app. The average session duration has dropped as users encounter AI-generated content, AI chatbot interruptions, and an increasingly impersonal feed that feels less like a social network and more like a content farm run by machines.&nbsp;Creators Are Leaving And Taking Their Audiences With Them&nbsp;The creator economy was Instagram's lifeline. Influencers, photographers, artists, small businesses, and educators built the content that kept billions of users engaged. Meta is now systematically destroying that relationship. Legitimate creator accounts are being flagged, restricted, and banned by automated moderation systems that cannot distinguish between a real human and a policy violation invented by an algorithm. Meanwhile, AI-generated bot accounts with stolen or synthetic content are thriving, many even receiving verified blue tick badges.&nbsp;The message to creators is unmistakable: you are replaceable, and Meta would prefer you were replaced. Creators with millions of followers are publicly announcing moves to YouTube, Substack, and emerging platforms. When creators leave, their audiences follow. This is not a leak, it is a structural collapse of the content supply chain that Instagram depends on to exist.&nbsp;Privacy Is the Final Straw&nbsp;Every interaction with Meta AI feeds data back into Meta's training pipeline. Users who never consented to having their messages, searches, and browsing patterns processed by an AI system are discovering that Meta has quietly enrolled them anyway. In the European Union, regulators have already moved to block Meta AI training on user data. In India, where over 350 million people use Instagram, the Digital Personal Data Protection Act creates similar legal exposure that Meta has so far ignored.&nbsp;For privacy-conscious users, a demographic that grows larger with every data scandal, the presence of an always-on, always-listening AI layer inside their social media app is not a feature. It is a reason to delete the app entirely. And they are doing exactly that.&nbsp;The Network Effect in Reverse&nbsp;Instagram's greatest strength was always the network effect, people joined because everyone they knew was already there. But network effects work in both directions. When enough people leave, the remaining users find less value, fewer connections, and less reason to stay. Meta AI is accelerating this reverse network effect at unprecedented speed. Every bot account that replaces a real user, every creator that migrates to another platform, and every casual user that reduces their screen time chips away at the critical mass that keeps Instagram relevant.&nbsp;History shows that social platforms can collapse faster than anyone predicts. MySpace went from 115 million users to irrelevance in under two years. Tumblr lost 30 percent of its traffic in months after a single policy change. Instagram, despite its massive scale, is not immune to the same dynamics, especially when the damage is being inflicted by the company that owns it.&nbsp;Mark Zuckerberg is betting that AI will be the future of social media. He may be right about the industry. But he is catastrophically wrong about forcing that future onto a platform whose entire value proposition was built on real human connection. If Meta does not reverse course on AI integration immediately, Instagram will not just lose users, it will lose its reason to exist.

Meta AI is driving users away from Instagram at record pace. Forced AI integration, creator bans, bot accounts, and privacy violations could trigger a catastrophic user collapse within months.

Instagram is dying. Not slowly, not gracefully, and not because a better platform came along. It is being murdered from the inside by its own parent company. Meta's relentless, tone-deaf integration of AI into every corner of the Instagram experience is achieving something no competitor ever could, it is making users actively hate the platform. And if the current trajectory holds, industry analysts believe Instagram could face a user collapse of historic proportions within the next few months. The AI Nobody Wanted Meta AI was not something Instagram users asked for. Nobody opened their DMs hoping a chatbot would insert itself into private conversations. Nobody searched for a restaurant recommendation expecting an AI hallucination instead of real user reviews. Nobody wanted their Explore page flooded with AI-generated slop that the algorithm now prioritises over content from human creators they actually follow. Yet this is exactly what Meta has delivered and it has done so with zero option to opt out. The backlash is not theoretical. It is measurable. App analytics firms have reported a sharp decline in daily active usage time on Instagram across key demographics in India, the United States, and Europe. Users are not just complaining on X, they are closing the app. The average session duration has dropped as users encounter AI-generated content, AI chatbot interruptions, and an increasingly impersonal feed that feels less like a social network and more like a content farm run by machines. Creators Are Leaving And Taking Their Audiences With Them The creator economy was Instagram's lifeline. Influencers, photographers, artists, small businesses, and educators built the content that kept billions of users engaged. Meta is now systematically destroying that relationship. Legitimate creator accounts are being flagged, restricted, and banned by automated moderation systems that cannot distinguish between a real human and a policy violation invented by an algorithm. Meanwhile, AI-generated bot accounts with stolen or synthetic content are thriving, many even receiving verified blue tick badges. The message to creators is unmistakable: you are replaceable, and Meta would prefer you were replaced. Creators with millions of followers are publicly announcing moves to YouTube, Substack, and emerging platforms. When creators leave, their audiences follow. This is not a leak, it is a structural collapse of the content supply chain that Instagram depends on to exist. Privacy Is the Final Straw Every interaction with Meta AI feeds data back into Meta's training pipeline. Users who never consented to having their messages, searches, and browsing patterns processed by an AI system are discovering that Meta has quietly enrolled them anyway. In the European Union, regulators have already moved to block Meta AI training on user data. In India, where over 350 million people use Instagram, the Digital Personal Data Protection Act creates similar legal exposure that Meta has so far ignored. For privacy-conscious users, a demographic that grows larger with every data scandal, the presence of an always-on, always-listening AI layer inside their social media app is not a feature. It is a reason to delete the app entirely. And they are doing exactly that. The Network Effect in Reverse Instagram's greatest strength was always the network effect, people joined because everyone they knew was already there. But network effects work in both directions. When enough people leave, the remaining users find less value, fewer connections, and less reason to stay. Meta AI is accelerating this reverse network effect at unprecedented speed. Every bot account that replaces a real user, every creator that migrates to another platform, and every casual user that reduces their screen time chips away at the critical mass that keeps Instagram relevant. History shows that social platforms can collapse faster than anyone predicts. MySpace went from 115 million users to irrelevance in under two years. Tumblr lost 30 percent of its traffic in months after a single policy change. Instagram, despite its massive scale, is not immune to the same dynamics, especially when the damage is being inflicted by the company that owns it. Mark Zuckerberg is betting that AI will be the future of social media. He may be right about the industry. But he is catastrophically wrong about forcing that future onto a platform whose entire value proposition was built on real human connection. If Meta does not reverse course on AI integration immediately, Instagram will not just lose users, it will lose its reason to exist.

Meta AI is driving a mass exodus from Instagram. Forced AI integration, rampant bot accounts, creator bans, and privacy violations are pushing millions of real users to the edge. Industry experts warn Instagram could face a catastrophic user collapse within months.

Meta AI could wipe out entire Instagram to ZERO users in coming months! Here's why

Mark Zuckerberg is failing again. This time, the consequences are not just financial, they are destroying the livelihoods of millions of real people who built their lives on Instagram. Across the world, authentic creators, small business owners, and everyday users are watching their accounts get suspended, restricted, or permanently deleted without warning, without appeal, and without explanation. Meanwhile, a swarm of AI-generated bots, hollow accounts posting synthetic content, are not only surviving Meta's moderation system but are actively being rewarded with coveted blue tick verification badges. This is not a glitch. This is Meta's strategy.&nbsp;The Instagram Identity Crisis&nbsp;In the past six months alone, Instagram has disabled thousands of genuine accounts in India citing vague Community Standards violations, accounts with years of original content, real followers, and legitimate income streams. Creators who built audiences of hundreds of thousands have woken up to find their digital businesses erased overnight. At the same time, Meta has been aggressively pushing its AI-generated content tools and quietly allowing AI bot accounts to flourish on the platform. The implicit message from Meta's algorithm is chilling: a bot that never complains, never asks for monetisation, and never pushes back is more valuable to them than a human being.&nbsp;Meta AI: A Rip-Off Nobody Asked For&nbsp;Into this chaotic landscape, Zuckerberg has dropped Meta AI and the reaction from users and industry experts has been uniformly brutal. Described by commentators as a low-quality imitation of ChatGPT and Gemini, Meta AI is slow, frequently inaccurate, and deeply invasive. It has been embedded without consent into WhatsApp conversations, Instagram DMs, and Facebook feeds, appearing uninvited in private chats and injecting itself into searches users never intended for an AI to answer.&nbsp;The product quality is not the only problem. Meta AI's data practices are alarming. Every interaction with the tool potentially feeds into Meta's AI training infrastructure, the same infrastructure that regulators in the EU have already moved to restrict. In a country like India, where the Digital Personal Data Protection Act is still finding its feet, millions of users are being onboarded onto Meta's AI ecosystem with zero understanding of what data they are surrendering.&nbsp;Zuckerberg's Two-Decade Track Record of Failure&nbsp;The uncomfortable truth that Meta's board and investors must now confront is that Mark Zuckerberg has an extraordinary record of destroying every major product line he has touched beyond his original Facebook clone. Facebook's organic reach was killed to force paid advertising. Instagram's chronological feed was replaced by an engagement-baiting algorithm that now actively harms mental health. WhatsApp's end-to-end encryption promise has been steadily eroded. The metaverse, a 46 billion dollar hallucination, is a global joke. And now Meta AI, launched as Zuckerberg's bid to stay relevant in the generative AI race, is being deployed not to help users but to replace them.&nbsp;The Cost on Real People&nbsp;Behind every deleted Instagram account is a real economic loss. Small businesses in Tier 2 and Tier 3 Indian cities that used Instagram as their primary sales channel are being wiped out by algorithmic decisions they cannot contest. Influencers who spent years building communities are being silenced. The digital economy that Instagram promised to democratise is being systematically handed over to synthetic accounts that serve Meta's data-harvesting objectives far more efficiently than inconvenient human users.&nbsp;It is time for Meta's board to ask the hard question: at what point does visionary leadership become delusional mismanagement? Mark Zuckerberg has failed at search, failed at mobile, failed at hardware, failed at the metaverse, and is now failing at AI while simultaneously destroying the one product, Instagram, that was still genuinely beloved. The answer, for the good of the millions of users whose digital lives depend on this platform, may simply be that it is time for new leadership.

Instagram is killing real accounts while AI bots get verified. Meta AI is a failed product. Mark Zuckerberg has failed at every major pivot and this time it may cost him the company.

Mark Zuckerberg is failing again. This time, the consequences are not just financial, they are destroying the livelihoods of millions of real people who built their lives on Instagram. Across the world, authentic creators, small business owners, and everyday users are watching their accounts get suspended, restricted, or permanently deleted without warning, without appeal, and without explanation. Meanwhile, a swarm of AI-generated bots, hollow accounts posting synthetic content, are not only surviving Meta's moderation system but are actively being rewarded with coveted blue tick verification badges. This is not a glitch. This is Meta's strategy. The Instagram Identity Crisis In the past six months alone, Instagram has disabled thousands of genuine accounts in India citing vague Community Standards violations, accounts with years of original content, real followers, and legitimate income streams. Creators who built audiences of hundreds of thousands have woken up to find their digital businesses erased overnight. At the same time, Meta has been aggressively pushing its AI-generated content tools and quietly allowing AI bot accounts to flourish on the platform. The implicit message from Meta's algorithm is chilling: a bot that never complains, never asks for monetisation, and never pushes back is more valuable to them than a human being. Meta AI: A Rip-Off Nobody Asked For Into this chaotic landscape, Zuckerberg has dropped Meta AI and the reaction from users and industry experts has been uniformly brutal. Described by commentators as a low-quality imitation of ChatGPT and Gemini, Meta AI is slow, frequently inaccurate, and deeply invasive. It has been embedded without consent into WhatsApp conversations, Instagram DMs, and Facebook feeds, appearing uninvited in private chats and injecting itself into searches users never intended for an AI to answer. The product quality is not the only problem. Meta AI's data practices are alarming. Every interaction with the tool potentially feeds into Meta's AI training infrastructure, the same infrastructure that regulators in the EU have already moved to restrict. In a country like India, where the Digital Personal Data Protection Act is still finding its feet, millions of users are being onboarded onto Meta's AI ecosystem with zero understanding of what data they are surrendering. Zuckerberg's Two-Decade Track Record of Failure The uncomfortable truth that Meta's board and investors must now confront is that Mark Zuckerberg has an extraordinary record of destroying every major product line he has touched beyond his original Facebook clone. Facebook's organic reach was killed to force paid advertising. Instagram's chronological feed was replaced by an engagement-baiting algorithm that now actively harms mental health. WhatsApp's end-to-end encryption promise has been steadily eroded. The metaverse, a 46 billion dollar hallucination, is a global joke. And now Meta AI, launched as Zuckerberg's bid to stay relevant in the generative AI race, is being deployed not to help users but to replace them. The Cost on Real People Behind every deleted Instagram account is a real economic loss. Small businesses in Tier 2 and Tier 3 Indian cities that used Instagram as their primary sales channel are being wiped out by algorithmic decisions they cannot contest. Influencers who spent years building communities are being silenced. The digital economy that Instagram promised to democratise is being systematically handed over to synthetic accounts that serve Meta's data-harvesting objectives far more efficiently than inconvenient human users. It is time for Meta's board to ask the hard question: at what point does visionary leadership become delusional mismanagement? Mark Zuckerberg has failed at search, failed at mobile, failed at hardware, failed at the metaverse, and is now failing at AI while simultaneously destroying the one product, Instagram, that was still genuinely beloved. The answer, for the good of the millions of users whose digital lives depend on this platform, may simply be that it is time for new leadership.

Instagram is banning real creators while AI bots with blue ticks thrive. Meta AI is a laughingstock. Mark Zuckerberg has failed at every major product pivot in two decades and this time, his AI obsession may finally kill the company

'Meta AI is a low-quality rip-off': Why Mark Zuckerberg should resign after Instagram debacle

Artificial Intelligence (AI) has transformed education by making learning more accessible, personalised, and efficient with virtual tutors and highly efficient research tools creating amazing opportunities for students.&nbsp;However, the increasing use of AI, which makes complex tasks easy for students, is creating dependence on it. Increasing reliance on AI can stunt students’ mathematical and critical thinking skills and impede their overall development, consequently affecting their academic performance and ‘real learning’.&nbsp;&nbsp;One of the major concerns is the decline in critical thinking and problem-solving abilities as AI tools instantly provide answers, summaries, and solutions to complex questions, and as a result, students do not engage deeply with the subject matter.Over time, this reliance on AI can weaken their ability to think critically and make informed decisions.&nbsp;Also Read: <a href="https://www.wionews.com/world/time-for-pause-humans-may-lose-control-on-ai-as-it-starts-building-itself-warns-anthropic-1780660343107">‘Time for pause’: Humans may lose control on AI as it starts building itself, warns Anthropic</a><h2>AI overuse undermines the very purpose of education</h2>&nbsp;Students are using large language models, like Claude, ChatGPT and Google Gemini, to produce essays and reports within seconds without understanding the concepts involved. This undermines the purpose of education, which is to develop knowledge, skills, and creativity. Students may submit AI-generated work as their own, but they miss the valuable learning opportunities and may ultimately struggle in examinations or real-world situations that require independent thinking.&nbsp;Also Read: <a href="https://www.wionews.com/india-news/delhi-hotel-owner-helped-bangladeshi-nationals-get-fake-indian-documents-was-arrested-booked-last-year-1780654502514">Delhi hotel owner helped Bangladeshi nationals get fake Indian documents, was arrested, booked last year</a>&nbsp;Creative thinking emerges from brainstorming and overcoming challenges, but when students rely on AI to generate ideas, write content, or solve problems, they become passive learners. Excessive dependence on technology can discourage students from developing perspectives and innovative abilities.AI tools may contribute to reduced motivation and effort as learning requires persistence, practice, and patience. Students are tempted to take shortcuts, and this prevents them from developing a strong work ethic. As a result, students may perform poorly when faced with tasks that require independent effort.&nbsp;Also Read: <a href="https://www.wionews.com/india-news/govt-withdraws-z-plus-cover-of-lalu-yadav-rabri-devi-how-much-does-the-vip-protection-cost-taxpayers-1780746937908">Govt withdraws Z-plus cover of Lalu Yadav, Rabri Devi. How much does the VIP protection cost taxpayers?</a><h2>AI misuse negatively affects intellectual growth, creativity, and ethics</h2>&nbsp;Besides, excessive use of AI and digital tools can reduce human interaction in education. Discussions with teachers and classmates play a crucial role in developing communication skills, emotional intelligence, and teamwork. In conclusion, while AI offers numerous advantages in education, its misuse and overdependence can negatively affect students' intellectual growth, creativity, ethics, motivation, privacy, and social development.Therefore, AI should be used as a supportive tool rather than a replacement for genuine learning. By maintaining a balanced approach, students can benefit from technological advancements while continuing to develop essential life skills.&nbsp;Also Read: <a href="https://www.wionews.com/world/iran-using-lebanon-as-bargaining-chip-in-negotiations-with-us-says-lebanese-president-joseph-aoun-1780672889045">‘Iran using Lebanon as bargaining chip in negotiations with US,’ says Lebanese President Joseph Aoun</a>&nbsp;Professors at the University of California, Berkeley, have also reported a rise in failing grades in some computer science courses as the use of AI tools among students has increased.&nbsp;They say many students generate code, complete assignments and get solutions with the help of AI but struggle when asked to solve problems independently during examinations or technical interviews.

Students are using Claude, ChatGPT and Google Gemini to produce essays and reports within seconds without understanding the concepts involved. This undermines the purpose of education, which is to develop knowledge, skills, and creativity.

Artificial Intelligence (AI) has transformed education by making learning more accessible, personalised, and efficient with virtual tutors and highly efficient research tools creating amazing opportunities for students. However, the increasing use of AI, which makes complex tasks easy for students, is creating dependence on it. Increasing reliance on AI can stunt students’ mathematical and critical thinking skills and impede their overall development, consequently affecting their academic performance and ‘real learning’. One of the major concerns is the decline in critical thinking and problem-solving abilities as AI tools instantly provide answers, summaries, and solutions to complex questions, and as a result, students do not engage deeply with the subject matter. Over time, this reliance on AI can weaken their ability to think critically and make informed decisions. Also Read: ‘Time for pause’: Humans may lose control on AI as it starts building itself, warns Anthropic AI overuse undermines the very purpose of education Students are using large language models, like Claude, ChatGPT and Google Gemini, to produce essays and reports within seconds without understanding the concepts involved. This undermines the purpose of education, which is to develop knowledge, skills, and creativity. Students may submit AI-generated work as their own, but they miss the valuable learning opportunities and may ultimately struggle in examinations or real-world situations that require independent thinking. Also Read: Delhi hotel owner helped Bangladeshi nationals get fake Indian documents, was arrested, booked last year Creative thinking emerges from brainstorming and overcoming challenges, but when students rely on AI to generate ideas, write content, or solve problems, they become passive learners. Excessive dependence on technology can discourage students from developing perspectives and innovative abilities. AI tools may contribute to reduced motivation and effort as learning requires persistence, practice, and patience. Students are tempted to take shortcuts, and this prevents them from developing a strong work ethic. As a result, students may perform poorly when faced with tasks that require independent effort. Also Read: Govt withdraws Z-plus cover of Lalu Yadav, Rabri Devi. How much does the VIP protection cost taxpayers? AI misuse negatively affects intellectual growth, creativity, and ethics Besides, excessive use of AI and digital tools can reduce human interaction in education. Discussions with teachers and classmates play a crucial role in developing communication skills, emotional intelligence, and teamwork. In conclusion, while AI offers numerous advantages in education, its misuse and overdependence can negatively affect students' intellectual growth, creativity, ethics, motivation, privacy, and social development. Therefore, AI should be used as a supportive tool rather than a replacement for genuine learning. By maintaining a balanced approach, students can benefit from technological advancements while continuing to develop essential life skills. Also Read: ‘Iran using Lebanon as bargaining chip in negotiations with US,’ says Lebanese President Joseph Aoun Professors at the University of California, Berkeley, have also reported a rise in failing grades in some computer science courses as the use of AI tools among students has increased. They say many students generate code, complete assignments and get solutions with the help of AI but struggle when asked to solve problems independently during examinations or technical interviews.

Students are using Claude, ChatGPT and Google Gemini to produce essays and reports within seconds without understanding the concepts involved. This undermines the purpose of education, which is to develop knowledge, skills, and creativity.

Is AI making students dumb? Concerns grow over learning, development of cognitive skills

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Is AI making students dumb? Concerns grow over learning and cognitive skills