As companies around the world rush to integrate artificial intelligence into daily operations, one CEO has shared an example of how difficult that transition can become. Eric Vaughan, chief executive of software company IgniteTech, says the firm replaced nearly 80 per cent of its workforce after many employees refused to adopt AI tools despite extensive training and company-funded support.&nbsp;The comments, first reported by Fortune, have attracted attention because they illustrate a growing challenge facing businesses: technology can be introduced quickly, but changing workplace habits may take much longer. According to Vaughan, resistance to AI became one of the biggest obstacles in the company's transformation into what he describes as an AI-first organisation.<h2>The company spent heavily on AI training</h2>Vaughan said IgniteTech invested significant resources into helping employees learn how to use artificial intelligence. The company introduced weekly "AI Mondays", where workers focused exclusively on AI-related projects. Employees were also offered reimbursements for AI tools, prompt-engineering courses and external training programmes. The company even brought in outside experts to support staff. According to Vaughan, IgniteTech dedicated around 20 per cent of its payroll towards AI learning efforts for one day each week over an entire quarter. Despite that investment, some employees remained unwilling to embrace the technology. "We took 20 per cent of our entire payroll for one day a week for an entire quarter to get people to learn AI and still found people that said, 'I'm not going to do it,'" Vaughan said.<h2>Why the company replaced so many employees</h2>The transition began in early 2023 after Vaughan became convinced that generative AI represented a major shift for businesses. He viewed AI as a technology that companies would eventually need to adopt to remain competitive. As a result, IgniteTech pushed aggressively towards integrating AI into products, workflows and employee responsibilities. However, Vaughan said some workers rejected the direction entirely. Between 2023 and early 2024, the company replaced nearly 80 per cent of its workforce, affecting hundreds of employees. "That was not our goal," Vaughan said. "But changing minds was harder than adding skills."<h2>A wider debate over AI in the workplace</h2>The comments arrive at a time when artificial intelligence is transforming industries ranging from software development and customer support to finance and healthcare. Many employers are encouraging workers to use AI tools to improve productivity and automate repetitive tasks. At the same time, concerns remain about job security, changing workplace expectations and the speed of technological change. IgniteTech's experience highlights a growing question facing employers: how should organisations respond when employees are unwilling to adopt technologies that leadership views as essential?<h2>Vaughan says he would make the same decision again</h2>While defending the outcome, Vaughan described the process as difficult. He said he would make the same decision again but stopped short of recommending that other businesses follow the same approach. According to the CEO, alignment between leadership and employees ultimately mattered more than training programmes alone. "If your team isn't in sync with you, I don't think any amount of training or strategy is going to fix that problem," he said.<h2>What this means for workers and businesses</h2>The story reflects a broader shift taking place across the technology industry. As AI tools become more capable, employers are increasingly expecting workers to understand and use them as part of their roles. For employees, AI skills are rapidly becoming a valuable workplace asset. For businesses, the challenge is not only introducing new technology but also helping teams adapt to it. The debate is likely to continue as artificial intelligence becomes more deeply embedded in everyday work.&nbsp;&nbsp;

A Texas-based software company replaced nearly 80 per cent of its workforce after many employees resisted adopting artificial intelligence, according to CEO Eric Vaughan. 

As companies around the world rush to integrate artificial intelligence into daily operations, one CEO has shared an example of how difficult that transition can become. Eric Vaughan, chief executive of software company IgniteTech, says the firm replaced nearly 80 per cent of its workforce after many employees refused to adopt AI tools despite extensive training and company-funded support. The comments, first reported by Fortune, have attracted attention because they illustrate a growing challenge facing businesses: technology can be introduced quickly, but changing workplace habits may take much longer. According to Vaughan, resistance to AI became one of the biggest obstacles in the company's transformation into what he describes as an AI-first organisation. The company spent heavily on AI training Vaughan said IgniteTech invested significant resources into helping employees learn how to use artificial intelligence. The company introduced weekly "AI Mondays", where workers focused exclusively on AI-related projects. Employees were also offered reimbursements for AI tools, prompt-engineering courses and external training programmes. The company even brought in outside experts to support staff. According to Vaughan, IgniteTech dedicated around 20 per cent of its payroll towards AI learning efforts for one day each week over an entire quarter. Despite that investment, some employees remained unwilling to embrace the technology. "We took 20 per cent of our entire payroll for one day a week for an entire quarter to get people to learn AI and still found people that said, 'I'm not going to do it,'" Vaughan said. Why the company replaced so many employees The transition began in early 2023 after Vaughan became convinced that generative AI represented a major shift for businesses. He viewed AI as a technology that companies would eventually need to adopt to remain competitive. As a result, IgniteTech pushed aggressively towards integrating AI into products, workflows and employee responsibilities. However, Vaughan said some workers rejected the direction entirely. Between 2023 and early 2024, the company replaced nearly 80 per cent of its workforce, affecting hundreds of employees. "That was not our goal," Vaughan said. "But changing minds was harder than adding skills." A wider debate over AI in the workplace The comments arrive at a time when artificial intelligence is transforming industries ranging from software development and customer support to finance and healthcare. Many employers are encouraging workers to use AI tools to improve productivity and automate repetitive tasks. At the same time, concerns remain about job security, changing workplace expectations and the speed of technological change. IgniteTech's experience highlights a growing question facing employers: how should organisations respond when employees are unwilling to adopt technologies that leadership views as essential? Vaughan says he would make the same decision again While defending the outcome, Vaughan described the process as difficult. He said he would make the same decision again but stopped short of recommending that other businesses follow the same approach. According to the CEO, alignment between leadership and employees ultimately mattered more than training programmes alone. "If your team isn't in sync with you, I don't think any amount of training or strategy is going to fix that problem," he said. What this means for workers and businesses The story reflects a broader shift taking place across the technology industry. As AI tools become more capable, employers are increasingly expecting workers to understand and use them as part of their roles. For employees, AI skills are rapidly becoming a valuable workplace asset. For businesses, the challenge is not only introducing new technology but also helping teams adapt to it. The debate is likely to continue as artificial intelligence becomes more deeply embedded in everyday work.

A Texas-based software company replaced nearly 80 per cent of its workforce after many employees resisted adopting artificial intelligence, according to CEO Eric Vaughan.&nbsp;

‘Fired them all, will do again’: Tech CEO replaced 80% of employees with AI, says humans not ready to embrace technology

The U.S. Department of Justice has declared a private AI company’s data center a national security asset and then used that designation to attempt to dismiss a civil rights lawsuit, signaling a growing clash between Silicon Valley power and regulatory accountability.

US Memphis Air Rights vs Pentagon AI Needs

A major shift is coming globally as Pluto is now firmly embedded in Aquarius and will stay there till 2044. This transition, which started on November 19, 2024, is not ordinary and will reshape how society organises power, knowledge, and human connection. This is one of the most significant astrological shifts of the century. Pluto is moving from the earth-bound Capricorn to the air-driven, technological realm of Aquarius. It moves slowly and so remains in one sign for 11 to 30 years. This leads it to shape entire generations, astrologer Harshada Desai says.&nbsp;In Roman mythology, Pluto was the god of the underworld, the ruler of everything hidden beneath the surface. It carries that same energy in astrology as well. It is a planet of total transformation and is now moving through the sign of collective power and technology, which will spell massive changes for the world. "It is the planet of death and rebirth, of tearing down what is broken so something better can grow in its place," she said. However, this transformation will not be gentle.&nbsp;"Pluto exposes, dismantles, and transforms — whether we are ready or not. Wherever Pluto travels, it asks one uncompromising question: what needs to die so something truer can live?"Pluto in Aquarius will affect entire groups on a larger scale - communities, networks, technology, innovation, and humanitarianism. Most other zodiac signs focus on the individual, Aquarius thinks in systems and masses: how do we organise society? How do we share knowledge? How do we make things work for everyone, not just the few? Harshada says.Also Read: <a href="https://www.wionews.com/trending/jupiter-s-exaltation-in-cancer-time-for-emotional-healing-and-finding-soul-s-true-purpose-1781248198931">Jupiter’s exaltation in Cancer: Time for emotional healing and finding soul's true purpose</a><h2>Shift in power</h2>The implications of this movement will include the fundamental reshaping of who holds power in society and in what manner. Networks, communities, and decentralised systems will challenge old hierarchies and institutions. The entire structure of the society could change, but it will happen in phases throughout this long period.&nbsp;The technology element will see a huge surge, which today we can directly link to Artificial Intelligence. It is here and growing, and this phase of Pluto in Aquarius will lead to an upheaval. It will be embedded in infrastructure - healthcare, legal systems, education, and governance. Meanwhile, the debate around who benefits from AI will continue to grow.Also Read: <a href="https://www.wionews.com/trending/astrological-significance-of-blue-moon-2026-which-zodiac-signs-and-date-of-births-will-it-affect-1780131894994">Astrological significance of Blue Moon 2026: Which zodiac signs and date of births will it affect</a><h2>Communities over individuals</h2>Power will keep moving away from central authorities towards distributed communities. Be it finance, governance or media. From individual we will move to community, as I becomes We.Local and digital systems will influence policies, as neighbourhood networks, mutual aid groups, and issue-specific collectives will achieve outcomes that traditional political channels have stalled on, Harshada says.&nbsp;The scientific field will continue to advance with breakthroughs expected in climate technology, public health, and renewable energy, and will increasingly be framed as collective rights, not consumer products.&nbsp;Harshada says the primary takeaway of this transition is that power will not remain concentrated at the top.

Pluto has firmly planted itself in Aquarius and will remain there for the next 18 years. This period will see the rise of communities and technology and bring about major shifts on the community level. Pluto, combined with Aquarius, dictates major shifts.

A major shift is coming globally as Pluto is now firmly embedded in Aquarius and will stay there till 2044. This transition, which started on November 19, 2024, is not ordinary and will reshape how society organises power, knowledge, and human connection. This is one of the most significant astrological shifts of the century. Pluto is moving from the earth-bound Capricorn to the air-driven, technological realm of Aquarius. It moves slowly and so remains in one sign for 11 to 30 years. This leads it to shape entire generations, astrologer Harshada Desai says. In Roman mythology, Pluto was the god of the underworld, the ruler of everything hidden beneath the surface. It carries that same energy in astrology as well. It is a planet of total transformation and is now moving through the sign of collective power and technology, which will spell massive changes for the world. "It is the planet of death and rebirth, of tearing down what is broken so something better can grow in its place," she said. However, this transformation will not be gentle. "Pluto exposes, dismantles, and transforms — whether we are ready or not. Wherever Pluto travels, it asks one uncompromising question: what needs to die so something truer can live?" Pluto in Aquarius will affect entire groups on a larger scale - communities, networks, technology, innovation, and humanitarianism. Most other zodiac signs focus on the individual, Aquarius thinks in systems and masses: how do we organise society? How do we share knowledge? How do we make things work for everyone, not just the few? Harshada says. Also Read: Jupiter’s exaltation in Cancer: Time for emotional healing and finding soul's true purpose Shift in power The implications of this movement will include the fundamental reshaping of who holds power in society and in what manner. Networks, communities, and decentralised systems will challenge old hierarchies and institutions. The entire structure of the society could change, but it will happen in phases throughout this long period. The technology element will see a huge surge, which today we can directly link to Artificial Intelligence. It is here and growing, and this phase of Pluto in Aquarius will lead to an upheaval. It will be embedded in infrastructure - healthcare, legal systems, education, and governance. Meanwhile, the debate around who benefits from AI will continue to grow. Also Read: Astrological significance of Blue Moon 2026: Which zodiac signs and date of births will it affect Communities over individuals Power will keep moving away from central authorities towards distributed communities. Be it finance, governance or media. From individual we will move to community, as I becomes We. Local and digital systems will influence policies, as neighbourhood networks, mutual aid groups, and issue-specific collectives will achieve outcomes that traditional political channels have stalled on, Harshada says. The scientific field will continue to advance with breakthroughs expected in climate technology, public health, and renewable energy, and will increasingly be framed as collective rights, not consumer products. Harshada says the primary takeaway of this transition is that power will not remain concentrated at the top.

Pluto has firmly planted itself in Aquarius and will remain there for the next 18 years. This period will see the rise of communities and technology and bring about major shifts on the community level. Pluto, combined with Aquarius, dictates major shifts.

Astrology has an explanation for why AI has become a mammoth

Artificial Intelligence is at the centre of conversations at the G7 Summit in Évian-les-Bains, France, with member countries discussing access to cutting-edge models. There is a scramble for new international "deals" and frameworks as G7 leaders reportedly talked about a “trusted partners” plan where selective access to advanced AI models from US firms such as Anthropic is granted. The matter assumed high priority after Anthropic disabled access for all users to Fable 5 and Mythos 5 on Friday. This was done after US President Donald Trump ordered Anthropic to block foreign nationals from accessing its most advanced AI models. He said that it had to be done due to cybersecurity and national security concerns.&nbsp;Financial Times reported that a US delegation led by Commerce Secretary Howard Lutnick and European diplomats is holding discussions to have a system where close, trusted G7 allies, either companies or countries, would be able to access American AI models that are currently not open to export. Such an agreement would allow G7 countries to use the AI technology to strengthen cybersecurity defences against rivals such as China.<h2>Anthropic's Fable 5 and Mythos 5 models</h2>&nbsp;Fable 5 and Mythos 5 are yet to be released models by Anthropic. Cybersecurity experts have raised concerns about Mythos, which has been designed to find flaws in computer code. They believe that it may lead to a dramatic escalation in attacks on banks' technology systems. An export control directive on Friday told Anthropic to suspend access to its latest AI models, Fable 5 and Mythos 5, "by any foreign national, whether inside or outside the United States." Both models were released just three days before the order was issued.Also Read: <a href="https://www.wionews.com/world/ai-export-controls-intelligence-as-commodity-digital-colonialism-1781617339741">AI, data centres and digital colonialism: How intelligence became a commodity</a>&nbsp;Countries are now seeking access to Mythos to study how the model could impact safety and find kinks in the computer systems. Before Trump's order, select organisations in "more than 15 countries" were granted access to Mythos so they could use it to detect vulnerabilities in their computer systems.Also Read: <a href="https://www.wionews.com/trending/company-ends-up-spending-rs-4-800-crore-on-claude-ai-in-a-month-because-of-a-tiny-oversight-1780048597729">Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight</a><h2>Technology independence debate at G7</h2> The export restrictions have led to debate about freedom of technology and caused noticeable friction among G7 members. Henna Virkkunen, the European Commission’s tech chief, has called for removing the "discriminatory" tech measures. However, it has come as a wake-up call for European leaders who are pushing for quick funding of the domestic European AI alternatives. Earlier, Canadian Prime Minister Mark Carney said that the export restrictions highlight the dangers of overreliance on a limited number of American providers.Also Read: <a href="https://www.wionews.com/india-news/modi-meets-trump-on-g7-sidelines-in-first-in-person-interaction-since-2025-1781620931627">WATCH | Modi meets Trump on G7 sidelines in first in-person interaction since 2025</a><h2>AI leaders meet for formal working lunch</h2> Notably, AI executives from Anthropic, OpenAI, and Google, are in France and scheduled to attend a working lunch on Wednesday to address issues like regulation, AI infrastructure, and networks. In an unprecedented move for a G7 summit, the world’s top AI executives are gathering for sessions. The main stage working lunch will include OpenAI CEO Sam Altman, Google DeepMind's Demis Hassabis, Anthropic’s Dario Amodei, and Mistral AI’s Arthur Mensch, alongside executives from Meta, Salesforce, and Cohere. They will be discussing pointers on AI infrastructure, especially its energy demands and the sustainability of the data centres.&nbsp;<h2>AI safety at G7</h2> Two other points on the table include protecting minors and trust. French President Emmanuel Macron has led an agenda item of a joint declaration aimed at mitigating the risks of AI-generated harmful content for minors. &nbsp;Other member nations, including Indian Prime Minister Narendra Modi, are calling for "humanity-first" transparency and trust frameworks, so AI deployment closes economic productivity gaps and does not widen them.

Artificial Intelligence at G7: World leaders at the summit in France are actively discussing AI, particularly the export ban the US placed on Anthropic regarding its new AI models, Fable 5 and Mythos 5. Access to technology is important to detect flaws in systems.

Artificial Intelligence is at the centre of conversations at the G7 Summit in Évian-les-Bains, France, with member countries discussing access to cutting-edge models. There is a scramble for new international "deals" and frameworks as G7 leaders reportedly talked about a “trusted partners” plan where selective access to advanced AI models from US firms such as Anthropic is granted. The matter assumed high priority after Anthropic disabled access for all users to Fable 5 and Mythos 5 on Friday. This was done after US President Donald Trump ordered Anthropic to block foreign nationals from accessing its most advanced AI models. He said that it had to be done due to cybersecurity and national security concerns. Financial Times reported that a US delegation led by Commerce Secretary Howard Lutnick and European diplomats is holding discussions to have a system where close, trusted G7 allies, either companies or countries, would be able to access American AI models that are currently not open to export. Such an agreement would allow G7 countries to use the AI technology to strengthen cybersecurity defences against rivals such as China. Anthropic's Fable 5 and Mythos 5 models Fable 5 and Mythos 5 are yet to be released models by Anthropic. Cybersecurity experts have raised concerns about Mythos, which has been designed to find flaws in computer code. They believe that it may lead to a dramatic escalation in attacks on banks' technology systems. An export control directive on Friday told Anthropic to suspend access to its latest AI models, Fable 5 and Mythos 5, "by any foreign national, whether inside or outside the United States." Both models were released just three days before the order was issued. Also Read: AI, data centres and digital colonialism: How intelligence became a commodity Countries are now seeking access to Mythos to study how the model could impact safety and find kinks in the computer systems. Before Trump's order, select organisations in "more than 15 countries" were granted access to Mythos so they could use it to detect vulnerabilities in their computer systems. Also Read: Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight Technology independence debate at G7 The export restrictions have led to debate about freedom of technology and caused noticeable friction among G7 members. Henna Virkkunen, the European Commission’s tech chief, has called for removing the "discriminatory" tech measures. However, it has come as a wake-up call for European leaders who are pushing for quick funding of the domestic European AI alternatives. Earlier, Canadian Prime Minister Mark Carney said that the export restrictions highlight the dangers of overreliance on a limited number of American providers. Also Read: WATCH | Modi meets Trump on G7 sidelines in first in-person interaction since 2025 AI leaders meet for formal working lunch Notably, AI executives from Anthropic, OpenAI, and Google, are in France and scheduled to attend a working lunch on Wednesday to address issues like regulation, AI infrastructure, and networks. In an unprecedented move for a G7 summit, the world’s top AI executives are gathering for sessions. The main stage working lunch will include OpenAI CEO Sam Altman, Google DeepMind's Demis Hassabis, Anthropic’s Dario Amodei, and Mistral AI’s Arthur Mensch, alongside executives from Meta, Salesforce, and Cohere. They will be discussing pointers on AI infrastructure, especially its energy demands and the sustainability of the data centres. AI safety at G7 Two other points on the table include protecting minors and trust. French President Emmanuel Macron has led an agenda item of a joint declaration aimed at mitigating the risks of AI-generated harmful content for minors. Other member nations, including Indian Prime Minister Narendra Modi, are calling for "humanity-first" transparency and trust frameworks, so AI deployment closes economic productivity gaps and does not widen them.

Artificial Intelligence at G7: World leaders at the summit in France are actively discussing AI, particularly the export ban the US placed on Anthropic regarding its new AI models, Fable 5 and Mythos 5. Access to technology is important to detect flaws in systems.

AI at G7: 'Trusted partners' plan being discussed amid US export ban on Anthropic's AI models

A major shift is quietly taking place online. For years, finding information on the internet followed a familiar pattern. People opened a search engine, typed a few keywords and clicked through a list of links.&nbsp;That model is now changingIncreasingly, users are turning to AI assistants such as ChatGPT, Gemini, Claude and Perplexity to get answers directly rather than browsing multiple websites. The change may seem subtle today, but it could become one of the most significant transformations in the history of the internet.From searching for links to receiving answersTraditional search engines were built around keywords. A user searching for "best laptop for students" or "how to invest money" would receive pages of links and decide which websites to visit.<h2>AI systems work differently.</h2>Instead of presenting a list of results, they often generate a direct response by analysing information from multiple sources. For users, this can save time.Instead of opening five or ten websites, many people now receive a summary in seconds. This shift is becoming increasingly visible through products such as Google's AI Overviews and AI-powered search tools.<h2>Why this matters for websites and publishers</h2>The consequences extend beyond how people search. For years, websites focused heavily on ranking highly in search results. Businesses invested in search engine optimisation, while publishers competed for clicks from search traffic. Now, visibility increasingly depends on whether AI systems choose to reference, summarise or recommend content. In simple terms, the challenge is no longer just appearing in search results. It is becoming about being recognised as a trusted source that AI systems can understand and cite. This is encouraging publishers and businesses to focus more on expertise, original reporting, strong branding and clear information.<h2>AI is becoming a new discovery layer</h2>Many technology experts describe the current transition as a move from keyword-driven search to AI-mediated discovery. In the past, people actively searched for information.&nbsp; Now information is increasingly being surfaced, recommended or summarised by algorithms and AI assistants. This trend can already be seen across social media, recommendation systems and AI chat platforms.The result is a new discovery layer sitting between users and the wider internet. Instead of directly navigating the web, many people are beginning to rely on AI systems to guide them.&nbsp;The shift does not mean traditional search engines will disappear. Search remains one of the most important services on the internet and continues to process billions of queries every day. However, the balance is changing. Future online experiences may involve conversations rather than keyword searches. Users may increasingly ask questions, request recommendations or seek explanations from AI systems that understand context and intent. For businesses, creators and publishers, this could require a new approach to visibility. Success may depend less on ranking for individual keywords and more on producing useful, trustworthy and authoritative information that both humans and AI systems can understand.<h2>The internet's next chapter</h2>Every era of the internet has been defined by a dominant way of finding information. First came directories. Then search engines. Later, social media feeds became powerful discovery tools. Now AI appears to be creating another shift. Most people still think of the internet as a place where they search for information. Increasingly, however, information is being selected, summarised and presented by AI systems before users ever reach a website. The transition is still unfolding, but its impact is already being felt across technology, media, business and everyday online life.

A major change is reshaping the internet as users move from keyword-based searches to AI-powered discovery. Tools such as ChatGPT, Gemini and Perplexity are increasingly delivering answers directly, altering how people find information and how websites gain visibility.


A major shift is quietly taking place online. For years, finding information on the internet followed a familiar pattern. People opened a search engine, typed a few keywords and clicked through a list of links. That model is now changing Increasingly, users are turning to AI assistants such as ChatGPT, Gemini, Claude and Perplexity to get answers directly rather than browsing multiple websites. The change may seem subtle today, but it could become one of the most significant transformations in the history of the internet. From searching for links to receiving answers Traditional search engines were built around keywords. A user searching for "best laptop for students" or "how to invest money" would receive pages of links and decide which websites to visit. AI systems work differently. Instead of presenting a list of results, they often generate a direct response by analysing information from multiple sources. For users, this can save time. Instead of opening five or ten websites, many people now receive a summary in seconds. This shift is becoming increasingly visible through products such as Google's AI Overviews and AI-powered search tools. Why this matters for websites and publishers The consequences extend beyond how people search. For years, websites focused heavily on ranking highly in search results. Businesses invested in search engine optimisation, while publishers competed for clicks from search traffic. Now, visibility increasingly depends on whether AI systems choose to reference, summarise or recommend content. In simple terms, the challenge is no longer just appearing in search results. It is becoming about being recognised as a trusted source that AI systems can understand and cite. This is encouraging publishers and businesses to focus more on expertise, original reporting, strong branding and clear information. AI is becoming a new discovery layer Many technology experts describe the current transition as a move from keyword-driven search to AI-mediated discovery. In the past, people actively searched for information. Now information is increasingly being surfaced, recommended or summarised by algorithms and AI assistants. This trend can already be seen across social media, recommendation systems and AI chat platforms. The result is a new discovery layer sitting between users and the wider internet. Instead of directly navigating the web, many people are beginning to rely on AI systems to guide them. The shift does not mean traditional search engines will disappear. Search remains one of the most important services on the internet and continues to process billions of queries every day. However, the balance is changing. Future online experiences may involve conversations rather than keyword searches. Users may increasingly ask questions, request recommendations or seek explanations from AI systems that understand context and intent. For businesses, creators and publishers, this could require a new approach to visibility. Success may depend less on ranking for individual keywords and more on producing useful, trustworthy and authoritative information that both humans and AI systems can understand. The internet's next chapter Every era of the internet has been defined by a dominant way of finding information. First came directories. Then search engines. Later, social media feeds became powerful discovery tools. Now AI appears to be creating another shift. Most people still think of the internet as a place where they search for information. Increasingly, however, information is being selected, summarised and presented by AI systems before users ever reach a website. The transition is still unfolding, but its impact is already being felt across technology, media, business and everyday online life.

A major change is reshaping the internet as users move from keyword-based searches to AI-powered discovery. Tools such as ChatGPT, Gemini and Perplexity are increasingly delivering answers directly, altering how people find information and how websites gain visibility.

A massive shift is happening online, and most people haven't noticed

Artificial Intelligence systems might have solved an 80-year-old Math problem, but a test designed to evaluate it against top-tier academicians has revealed that it still has a long way to go when it comes to new and complex research-level mathematics. Four AI systems failed the test, which is part of "First Proof," a rigorous new AI benchmarking mechanism. The AI systems were given 10 research-level maths problems, and their answers were assessed by a jury of anonymous human specialists. To prevent AI from simply scanning through its training data, all the questions were new and had never been published anywhere. They were provided by 10 researchers from a broad range of mathematical specialities who had solved them at some point in their careers. A group of 30 mathematicians checked the answers, and the results proved that AI does not come close to human mathematicians in novel problems. The findings were published in the Nature journal.Also Read: <a href="https://www.wionews.com/trending/company-ends-up-spending-rs-4-800-crore-on-claude-ai-in-a-month-because-of-a-tiny-oversight-1780048597729">Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight</a>&nbsp;The First Proof team carried out the test in an entirely autonomous way without humans being involved in any way. The AI systems also had to be publicly available. This ruled out Google’s Aletheia, which has been designed specifically for solving maths problems, and the full, unreleased version of Claude Mythos. OpenAI entered its ChatGPT 5.5 Pro model. Three academic groups provided the rest of the models - from the University of California, Los Angeles (UCLA); Princeton University in New Jersey; and the Swiss Federal Institute of Technology (ETH) in Zurich. They built "harnesses"—automated systems that prompted existing chatbots, such as ChatGPT, Gemini, and Claude, to repeatedly check the answers.Also Read: <a href="https://www.wionews.com/technology/openai-s-ai-model-solves-decades-old-maths-problem-proof-verified-by-researchers-1780210625561">OpenAI’s AI model solves decades-old maths problem, proof verified by researchers</a><h2>AI vs human mathematicians: The results</h2> The top-performing AI system was able to solve only 6 out of 10 problems. Since all of them had been solved by mathematicians, this proved that human expertise in the field still outperforms AI on unseen, highly rigorous research problems. ETH Zurich stood first, whose harness had used ChatGPT to generate answers. UCLA was second (ChatGPT harness), followed by OpenAI (standalone ChatGPT 5.5 Pro), and Princeton (using a Gemini 3.1 Pro harness).The results show that AI models have a long way to go before they can function autonomously as reliable research assistants, proof-checkers, and problem-solvers for human mathematicians. First Proof will come up with more versions of the test in future to correctly decide when this could actually become possible.

AI failed to beat humans in 10 Math problems that expert mathematicians had solved in the past. Four systems entered a test, which was assessed by 30 analysts, and none of them was able to solve all 10 problems. The finding shows humans are still better than AI on new Math problems.

Artificial Intelligence systems might have solved an 80-year-old Math problem, but a test designed to evaluate it against top-tier academicians has revealed that it still has a long way to go when it comes to new and complex research-level mathematics. Four AI systems failed the test, which is part of "First Proof," a rigorous new AI benchmarking mechanism. The AI systems were given 10 research-level maths problems, and their answers were assessed by a jury of anonymous human specialists. To prevent AI from simply scanning through its training data, all the questions were new and had never been published anywhere. They were provided by 10 researchers from a broad range of mathematical specialities who had solved them at some point in their careers. A group of 30 mathematicians checked the answers, and the results proved that AI does not come close to human mathematicians in novel problems. The findings were published in the Nature journal. Also Read: Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight The First Proof team carried out the test in an entirely autonomous way without humans being involved in any way. The AI systems also had to be publicly available. This ruled out Google’s Aletheia, which has been designed specifically for solving maths problems, and the full, unreleased version of Claude Mythos. OpenAI entered its ChatGPT 5.5 Pro model. Three academic groups provided the rest of the models - from the University of California, Los Angeles (UCLA); Princeton University in New Jersey; and the Swiss Federal Institute of Technology (ETH) in Zurich. They built "harnesses"—automated systems that prompted existing chatbots, such as ChatGPT, Gemini, and Claude, to repeatedly check the answers. Also Read: OpenAI’s AI model solves decades-old maths problem, proof verified by researchers AI vs human mathematicians: The results The top-performing AI system was able to solve only 6 out of 10 problems. Since all of them had been solved by mathematicians, this proved that human expertise in the field still outperforms AI on unseen, highly rigorous research problems. ETH Zurich stood first, whose harness had used ChatGPT to generate answers. UCLA was second (ChatGPT harness), followed by OpenAI (standalone ChatGPT 5.5 Pro), and Princeton (using a Gemini 3.1 Pro harness). The results show that AI models have a long way to go before they can function autonomously as reliable research assistants, proof-checkers, and problem-solvers for human mathematicians. First Proof will come up with more versions of the test in future to correctly decide when this could actually become possible.

AI failed to beat humans in 10 Math problems that expert mathematicians had solved in the past. Four systems entered a test, which was assessed by 30 analysts, and none of them was able to solve all 10 problems. The finding shows humans are still better than AI on new Math problems.

Four AI models fail Math test they could not cheat on, humans score a perfect 10

Families of Russian soldiers who died in combat during the Ukraine war are getting AI-generated photos and videos made of them, triggering a debate over the ethical complexities. These include fictional billboards, based on the idea of these soldiers returning home after the war is over. A popular blogger named Katya Jin recently posted a 15-second AI video showing a Russian soldier returning home to his family. Even Jin's own husband was fighting in the "special operation" and has been missing, and the AI video is apparently based on her. These photos and videos are being posted by the relatives of soldiers who have either died or have disappeared, and have left Ukrainians appalled, the BBC reported. These photos and videos mostly show the dead soldiers as heroes, with angel wings, leaving for paradise. While they could be a source of comfort for grieving families, some of whom also keep deepfakes featuring the deceased at funerals, most Ukrainians are appalled to see such content online.&nbsp;This "digital afterlife" industry has turned into a profitable venture for people making them. Content creators are charging anywhere from 200 roubles ($2.77) to 10,000 roubles ($138) per video. The bigger creators can earn up to 200,000 roubles ($2,800) a month, almost double the average Russian wage. This has led to criticism that they are capitalising on raw grief. Katya Jin used her own story to reach out to others, who are now ordering similar photos and videos.<h2>Russia avoids talking about human loss in Ukraine war&nbsp;</h2>A majority of these photos focus on soldiers who have died on the frontline. A total of 225,000 Russian soldiers are believed to have died in the four years of the conflict, and the number could be higher. The administration has received flak for the massive human loss, yet has avoided the topic publicly. However, the videos focus on patriotism and use AI to paint the soldiers as heroes who died for their country. The photos and videos depict them often as a man in uniform, embracing his family and descending up the stairs to heaven.&nbsp;

AI photos and videos showing deceased Russian soldiers with wings, embracing their family and descending the stairs to heaven have gone viral. Some also show the ones still on the frontline reuniting with their loved ones.   

Families of Russian soldiers who died in combat during the Ukraine war are getting AI-generated photos and videos made of them, triggering a debate over the ethical complexities. These include fictional billboards, based on the idea of these soldiers returning home after the war is over. A popular blogger named Katya Jin recently posted a 15-second AI video showing a Russian soldier returning home to his family. Even Jin's own husband was fighting in the "special operation" and has been missing, and the AI video is apparently based on her. These photos and videos are being posted by the relatives of soldiers who have either died or have disappeared, and have left Ukrainians appalled, the BBC reported. These photos and videos mostly show the dead soldiers as heroes, with angel wings, leaving for paradise. While they could be a source of comfort for grieving families, some of whom also keep deepfakes featuring the deceased at funerals, most Ukrainians are appalled to see such content online. This "digital afterlife" industry has turned into a profitable venture for people making them. Content creators are charging anywhere from 200 roubles ($2.77) to 10,000 roubles ($138) per video. The bigger creators can earn up to 200,000 roubles ($2,800) a month, almost double the average Russian wage. This has led to criticism that they are capitalising on raw grief. Katya Jin used her own story to reach out to others, who are now ordering similar photos and videos. Russia avoids talking about human loss in Ukraine war A majority of these photos focus on soldiers who have died on the frontline. A total of 225,000 Russian soldiers are believed to have died in the four years of the conflict, and the number could be higher. The administration has received flak for the massive human loss, yet has avoided the topic publicly. However, the videos focus on patriotism and use AI to paint the soldiers as heroes who died for their country. The photos and videos depict them often as a man in uniform, embracing his family and descending up the stairs to heaven.

AI photos and videos showing deceased Russian soldiers with wings, embracing their family and descending the stairs to heaven have gone viral. Some also show the ones still on the frontline reuniting with their loved ones. &nbsp;&nbsp;

Russians spending thousands of roubles on AI photos and videos to resurrect dead soldiers

As artificial intelligence drives a global race to build bigger and more powerful data centres, questions are growing about the resources needed to run them. Now, Amazon has released a key figure that it had never publicly disclosed before: its global data-centre operations used about 2.5 billion gallons, or more than 9 billion litres, of water in 2025.&nbsp;The announcement comes at a time when governments, researchers and local communities are paying closer attention to the environmental footprint of data centres, particularly those supporting AI systems.&nbsp;Amazon said water consumption at data centres it directly owns and operates actually fell by 2 per cent compared with 2024 levels, despite the company expanding its data-centre footprint. The disclosure was made through a company blog post as scrutiny of AI infrastructure continues to intensify.&nbsp;Data centres require significant amounts of electricity and cooling. As AI models become larger and more complex, the facilities powering them are attracting increased attention over their impact on water supplies and energy networks. Public concern is also growing. A recent Reuters poll found that while one in three Americans support data-centre construction, only 14 per cent said they would be comfortable having one built near where they live.<figure class="image"><img src="https://assets.aboutamazon.com/dims4/default/cf9712d/2147483647/strip/true/crop/1600x900+0+0/resize/1320x743!/quality/90/?url=https%3A%2F%2Famazon-blogs-brightspot.s3.amazonaws.com%2Fe0%2F93%2F3dccab4646e5bedc23c3905c4781%2Fwater-efficiency-table4-amazon-news-lt-060826.jpeg" alt="Water efficiency comparison table showing Amazon/AWS improving from 0.25 liters per kilowatt-hour in 2021 to 0.12 in 2025, outperforming Microsoft, Google, and Meta"></figure>

<h2>Amazon says it uses less water than rivals</h2>Amazon also used the disclosure to highlight what it says is its efficiency advantage. According to figures shared by the company, its data centres used 0.12 litres of water per kilowatt-hour of electricity in 2025. Amazon says this was lower than comparable figures published by rivals including Microsoft, Google and Meta. However, comparisons come with important caveats.Google's figures cited by Amazon focus on Gemini AI-related data centres, which generally require more cooling because of their use of powerful AI processors. Amazon's reported water use also does not include water used during data-centre construction or water consumed by power plants generating electricity for its facilities.&nbsp;Amazon currently operates around 924 data centres globally, according to industry reports.The wider debate over AI and waterThe discussion extends well beyond Amazon.Researchers at the United Nations University Institute for Water, Environment and Health estimate that the global water footprint of data centres could reach 9.3 trillion litres annually by 2030. According to the institute, that volume would be enough to meet the yearly domestic water needs of all 1.3 billion people living in sub-Saharan Africa.<figure class="image"><img src="https://assets.aboutamazon.com/dims4/default/f4ffae1/2147483647/strip/true/crop/1600x900+0+0/resize/1320x743!/quality/90/?url=https%3A%2F%2Famazon-blogs-brightspot.s3.amazonaws.com%2Fdf%2F2c%2F0d95222540f2b2dc51e7f7dc4cd3%2Fwater-efficiency-inline-graphic-numbers-amazon-news-lt-060926.jpeg" alt="Amazon water efficiency statistics: 10% cooling hours with evaporative design, 5.8 billion gallons returned annually, 130 data centers using reclaimed water"></figure><h2>At the same time, transparency around data-centre water use is increasing.</h2>In Oregon, legal action led to the release of records detailing water consumption linked to Google's facilities. Meanwhile, Utah recently passed legislation requiring certain new data-centre projects to disclose annual water usage.Amazon's plan to become 'water positive' Amazon says it wants to return more water to communities than it consumes.The company aims to become water positive by 2030 and says it has already achieved about 75 per cent of that goal.Part of the strategy involves using reclaimed and treated wastewater rather than drinking water. Amazon says 26 sites now operate entirely on reclaimed water, while agreements have been signed for another 130 facilities worldwide.The company also argues that its cooling systems reduce water demand. According to Amazon, its data centres rely on outside air cooling roughly 90 per cent of the time and only use water-based evaporative cooling during the hottest periods of the year.&nbsp;The disclosure highlights a growing challenge facing the technology industry. AI services are becoming more powerful and more widely used, but the infrastructure supporting them requires enormous amounts of electricity, computing power and water. As governments push for greater transparency and communities demand more information, companies such as Amazon, Google and Microsoft may face increasing pressure to show not only how much AI can achieve, but also what resources it consumes.

Amazon has disclosed for the first time that its global data centres used more than 9 billion litres of water in 2025. The announcement comes as AI-driven data-centre growth faces increasing scrutiny over its impact on water resources, energy use and local communities.

As artificial intelligence drives a global race to build bigger and more powerful data centres, questions are growing about the resources needed to run them. Now, Amazon has released a key figure that it had never publicly disclosed before: its global data-centre operations used about 2.5 billion gallons, or more than 9 billion litres, of water in 2025. The announcement comes at a time when governments, researchers and local communities are paying closer attention to the environmental footprint of data centres, particularly those supporting AI systems. Amazon said water consumption at data centres it directly owns and operates actually fell by 2 per cent compared with 2024 levels, despite the company expanding its data-centre footprint. The disclosure was made through a company blog post as scrutiny of AI infrastructure continues to intensify. Data centres require significant amounts of electricity and cooling. As AI models become larger and more complex, the facilities powering them are attracting increased attention over their impact on water supplies and energy networks. Public concern is also growing. A recent Reuters poll found that while one in three Americans support data-centre construction, only 14 per cent said they would be comfortable having one built near where they live.

Amazon has disclosed for the first time that its global data centres used more than 9 billion litres of water in 2025. The announcement comes as AI-driven data-centre growth faces increasing scrutiny over its impact on water resources, energy use and local communities.

'9 billion litres': Here's how much water Amazon's data centres used in 2025

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

A new assessment of 100 AI agents reveals serious security weaknesses, showing that most can be manipulated through prompt injection attacks. The study highlights how hidden instructions inside emails or documents can mislead AI systems that have access to sensitive tools and data. Experts warn that as AI agents take on more real-world tasks, security gaps could become a major risk for organisations.


AI Fails Simple Test of Malicious Malware 

Artificial intelligence is increasingly being used to speed up daily clinical workloads, helping hospitals manage tasks such as patient data processing, diagnostics support, and administrative duties. However, despite rapid adoption, many healthcare systems are still struggling with a lack of proper AI training for medical staff. Experts warn that without structured training and guidelines, the full potential of AI in healthcare may not be safely or effectively realized.


AI is Used for Speeding Up Daily Clinical Workloads | AI Training Still Lacking in Hospitals

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

The world’s biggest banks are making a move. And millions of jobs are in the crosshairs. A Bloomberg analysis reveals a sweeping trend. Banks across the globe are quietly laying off workers. The common thread? Artificial intelligence.

Banks Bet Big on AI, Workers Pay the Price

Could artificial intelligence make it easier to create dangerous pathogens? Some of the world's leading AI companies are warning that the risk is real. Executives from major technology firms have urged the U.S. Congress to introduce mandatory screening of synthetic DNA and RNA orders to prevent the misuse of advanced AI in biological research. The concern is that increasingly capable AI systems could accelerate scientific workflows and potentially be exploited by malicious actors. This episode of Gravitas examines the warnings, the proposed safeguards, and the growing debate over AI, biotechnology, and global security.

Can AI Create Deadly Viruses? Google, Meta, Anthropic Warn AI Could Supercharge Bioweapon

The architects of the AI revolution are sounding the alarm. Leaders from OpenAI, Anthropic, Google DeepMind, and Microsoft AI have urged the U.S. Congress to introduce stronger safeguards against the misuse of advanced artificial intelligence. Their warning focuses on a growing concern: that powerful AI systems could lower barriers to dangerous biological research if proper oversight is not in place. The industry leaders are calling for mandatory screening of synthetic DNA and RNA orders, arguing that proactive regulation is needed to address emerging biosecurity risks.

From AI Boom To Bioweapons Battle: CEOs Demand New 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:<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?

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

Artificial intelligence is changing how children play and learn. Instead of remote-controlled cars, the market is now dominated by advanced robotics that can hold genuine conversations, read facial expressions, teach complex coding, and adapt their personalities.

Artificial intelligence is changing how children play and learn. Instead of remote-controlled cars, the market is now dominated by advanced robotics that can hold genuine conversations, read facial expressions, teach complex coding, and adapt their personalities.

‘AI is changing how kids play’: 5 next-gen AI robot toys for your kids

Airbnb CEO Brian Chesky is preparing to launch a new artificial intelligence lab, marking his biggest move yet into the rapidly growing AI industry.According to a report by Bloomberg, later confirmed by sources familiar with the matter, Chesky plans to back a dedicated AI research lab while continuing to serve as CEO of Airbnb. The move comes as technology leaders increasingly invest in AI development amid growing competition between companies such as OpenAI, Anthropic, Google, Meta and Microsoft. While details about the project remain limited, the development signals that Chesky wants a more direct role in shaping the future of artificial intelligence rather than simply adopting AI products created by others.<h2>Why is Brian Chesky launching an AI lab?</h2>For years, Chesky has been closely connected to some of the biggest names in artificial intelligence. The Airbnb chief first met Sam Altman through Y Combinator in 2006, when Airbnb was part of the startup accelerator programme. Their relationship continued long after both companies became global technology giants. As OpenAI grew rapidly following the success of ChatGPT, Chesky reportedly became one of Altman's trusted advisers. He regularly shared advice on scaling companies, managing growth and navigating public attention. During OpenAI's leadership crisis in 2023, when Altman was temporarily removed as CEO, reports suggested that Chesky played a role in supporting Altman's return by helping coordinate discussions among investors and technology leaders. Now, however, Chesky appears ready to build his own presence in the AI industry.<h2>Airbnb has been cautious about AI so far</h2>Unlike some technology companies that have aggressively partnered with AI firms, Airbnb has taken a more measured approach. Last year, Chesky said the company was using AI coding tools internally but had not entered into a major partnership with a large language model provider because existing products were not yet mature enough for Airbnb's long-term vision. That cautious stance has allowed the company to observe how AI products evolve while exploring its own ideas around design, user experience and customer interactions. Industry analysts believe Airbnb's experience in creating intuitive digital experiences could influence the direction of the new AI lab.<h2>What could the new AI lab focus on?</h2>The exact purpose of the lab has not been announced. However, reports suggest that user interaction and design could be central themes. These are areas Chesky has repeatedly highlighted throughout his career at Airbnb. Many AI companies today are focused on building larger and more powerful models. Chesky's lab may instead focus on how people interact with AI systems and how artificial intelligence can become easier and more natural to use. This approach would align with a growing industry trend. As AI models become increasingly capable, companies are paying more attention to user experience, interface design and practical applications rather than simply improving benchmarks. Some observers have compared the effort to other emerging AI startups that are experimenting with new ways for humans to interact with intelligent systems.<h2>Who will run the AI lab?</h2>One important detail is that Chesky is not expected to lead the lab directly. According to reports, he will remain focused on running Airbnb and will appoint leadership to oversee the new venture. That means the project will operate independently while still benefiting from Chesky's strategic guidance and experience. The search for leadership could become one of the most closely watched hiring efforts in Silicon Valley, particularly as competition for AI talent remains intense. Major AI companies have spent billions of dollars recruiting researchers, engineers and product designers over the past two years.<h2>Why more technology leaders are creating AI labs</h2>The launch reflects a broader shift taking place across the technology sector. Rather than relying entirely on existing AI providers, many entrepreneurs and investors are establishing their own AI-focused research groups. The reason is simple: artificial intelligence is increasingly becoming a core technology that could reshape industries ranging from healthcare and education to travel and entertainment.For companies like Airbnb, AI could eventually influence:Travel recommendations Customer support Booking experiences Property management Personalised trip planning Search and discoveryCreating an AI lab allows companies to experiment with these possibilities while maintaining greater control over future products.<h2>What does this mean for Airbnb?</h2>At this stage, there is no indication that the new lab will directly compete with Airbnb's core business. However, the move demonstrates that Chesky sees artificial intelligence as a long-term strategic opportunity. The company has already integrated AI into some internal operations, and future innovations developed by the lab could eventually influence Airbnb's products and services. Industry experts believe travel remains one of the sectors where AI could have a significant impact, particularly through personalised recommendations and automated planning tools.Brian Chesky's decision to back a new AI lab highlights how rapidly the artificial intelligence landscape continues to evolve. Only a few years ago, most companies focused on adopting AI tools created elsewhere. Today, many business leaders are looking to develop their own AI capabilities and shape the next generation of products. Whether Chesky's lab becomes a major player in the AI industry remains to be seen. However, the announcement underlines a growing belief across Silicon Valley that artificial intelligence will be one of the defining technologies of the coming decade.As competition intensifies between OpenAI, Anthropic, Google, Meta and other AI companies, Chesky's new venture adds another name to the list of organisations hoping to influence the future of AI.

Airbnb CEO Brian Chesky is launching a new AI lab to explore how artificial intelligence can improve user experience and future products. 

Airbnb CEO Brian Chesky is preparing to launch a new artificial intelligence lab, marking his biggest move yet into the rapidly growing AI industry. According to a report by Bloomberg, later confirmed by sources familiar with the matter, Chesky plans to back a dedicated AI research lab while continuing to serve as CEO of Airbnb. The move comes as technology leaders increasingly invest in AI development amid growing competition between companies such as OpenAI, Anthropic, Google, Meta and Microsoft. While details about the project remain limited, the development signals that Chesky wants a more direct role in shaping the future of artificial intelligence rather than simply adopting AI products created by others. Why is Brian Chesky launching an AI lab? For years, Chesky has been closely connected to some of the biggest names in artificial intelligence. The Airbnb chief first met Sam Altman through Y Combinator in 2006, when Airbnb was part of the startup accelerator programme. Their relationship continued long after both companies became global technology giants. As OpenAI grew rapidly following the success of ChatGPT, Chesky reportedly became one of Altman's trusted advisers. He regularly shared advice on scaling companies, managing growth and navigating public attention. During OpenAI's leadership crisis in 2023, when Altman was temporarily removed as CEO, reports suggested that Chesky played a role in supporting Altman's return by helping coordinate discussions among investors and technology leaders. Now, however, Chesky appears ready to build his own presence in the AI industry. Airbnb has been cautious about AI so far Unlike some technology companies that have aggressively partnered with AI firms, Airbnb has taken a more measured approach. Last year, Chesky said the company was using AI coding tools internally but had not entered into a major partnership with a large language model provider because existing products were not yet mature enough for Airbnb's long-term vision. That cautious stance has allowed the company to observe how AI products evolve while exploring its own ideas around design, user experience and customer interactions. Industry analysts believe Airbnb's experience in creating intuitive digital experiences could influence the direction of the new AI lab. What could the new AI lab focus on? The exact purpose of the lab has not been announced. However, reports suggest that user interaction and design could be central themes. These are areas Chesky has repeatedly highlighted throughout his career at Airbnb. Many AI companies today are focused on building larger and more powerful models. Chesky's lab may instead focus on how people interact with AI systems and how artificial intelligence can become easier and more natural to use. This approach would align with a growing industry trend. As AI models become increasingly capable, companies are paying more attention to user experience, interface design and practical applications rather than simply improving benchmarks. Some observers have compared the effort to other emerging AI startups that are experimenting with new ways for humans to interact with intelligent systems. Who will run the AI lab? One important detail is that Chesky is not expected to lead the lab directly. According to reports, he will remain focused on running Airbnb and will appoint leadership to oversee the new venture. That means the project will operate independently while still benefiting from Chesky's strategic guidance and experience. The search for leadership could become one of the most closely watched hiring efforts in Silicon Valley, particularly as competition for AI talent remains intense. Major AI companies have spent billions of dollars recruiting researchers, engineers and product designers over the past two years. Why more technology leaders are creating AI labs The launch reflects a broader shift taking place across the technology sector. Rather than relying entirely on existing AI providers, many entrepreneurs and investors are establishing their own AI-focused research groups. The reason is simple: artificial intelligence is increasingly becoming a core technology that could reshape industries ranging from healthcare and education to travel and entertainment. For companies like Airbnb, AI could eventually influence: Travel recommendations Customer support Booking experiences Property management Personalised trip planning Search and discovery Creating an AI lab allows companies to experiment with these possibilities while maintaining greater control over future products. What does this mean for Airbnb? At this stage, there is no indication that the new lab will directly compete with Airbnb's core business. However, the move demonstrates that Chesky sees artificial intelligence as a long-term strategic opportunity. The company has already integrated AI into some internal operations, and future innovations developed by the lab could eventually influence Airbnb's products and services. Industry experts believe travel remains one of the sectors where AI could have a significant impact, particularly through personalised recommendations and automated planning tools. Brian Chesky's decision to back a new AI lab highlights how rapidly the artificial intelligence landscape continues to evolve. Only a few years ago, most companies focused on adopting AI tools created elsewhere. Today, many business leaders are looking to develop their own AI capabilities and shape the next generation of products. Whether Chesky's lab becomes a major player in the AI industry remains to be seen. However, the announcement underlines a growing belief across Silicon Valley that artificial intelligence will be one of the defining technologies of the coming decade. As competition intensifies between OpenAI, Anthropic, Google, Meta and other AI companies, Chesky's new venture adds another name to the list of organisations hoping to influence the future of AI.

Airbnb CEO Brian Chesky is launching a new AI lab to explore how artificial intelligence can improve user experience and future products.&nbsp;

Airbnb CEO Brian Chesky plans new AI lab: What it could mean for the future of artificial intelligence

AI company Anthropic says artificial intelligence firms should have the ability to pause development if systems become too risky or unpredictable. The comments come amid growing global debates over AI regulation, safety, and the race to develop advanced models. Experts continue to warn about the need for oversight as AI technology rapidly evolves.


Anthropic Says AI Firms Should Be Able to Pause Development

Artificial intelligence is increasingly being used in policing across the world, from crime hotspot mapping in Colombia to predictive risk systems being explored in the UK. While supporters say AI can help prevent crime and improve response times, critics warn it could reinforce bias, increase surveillance, and raise serious ethical concerns about profiling and privacy in law enforcement.

From Colombia to the UK: How AI is Shaping the Future of Policing

From AI-enabled gadgets to wearable tech like smart glasses, hidden earpieces, and internet-connected devices, students are using increasingly sophisticated methods to cheat in exams. Social media platforms are also spreading step-by-step guides on how to avoid detection, raising serious concerns for exam authorities about fairness, security, and the future of assessments.


From Smart Glasses to Invisible Earpieces: The New Era of Exam Cheating

Humans seem to have dug their own graves with Artificial Intelligence, as a new study has found that the technology would take a massive toll on the climate in the next few years. According to a new report, by 2030, AI will need nearly 3 per cent of the world's electricity to function. The carbon emissions will be the same as that of United Kingdom in 2025, and electronic waste will be equivalent to trashing 250 Eiffel Towers every year. The most stark observation is about water, as the amount it would need will be enough to quench the thirst of every person on Earth for more than a year and a half. That's a pretty grim picture of the future painted by the United Nations University Institute for Water, Environment and Health.&nbsp;Researchers say carbon emissions are only a part of the toll AI takes on the climate, and reducing the harm AI would cause to the environment would depend on several more factors than just that. "Low-carbon is not automatically low-water or low-land,” the report states. Data centres consumed an estimated 448 terawatt-hours of electricity in 2025, with AI processes accounting for around 20 per cent of it. By 2034, AI-related electricity use could reach 40 per cent, or 374 terawatt-hours.Also Read: <a href="https://www.wionews.com/science/world-environment-day-data-centres-are-coming-to-india-but-at-what-cost-1780567891256">World Environment Day in the age of AI - Have humans given up on saving the climate for data centres?</a><h2>AI used 9.3 trillion litres of water in 2025</h2>These data centres run 24*7 and need massive amounts of water to cool the systems. The data centre totals could double to 945 terawatt-hours, which can power 1.3 billion people in sub-Saharan Africa for over five years. The consumption of water, a major problem linked with data centres, will also considerably rise. In 2025, they used an estimated 9.3 trillion litres of water. This water can meet the needs of all 8.1 billion people on Earth for more than a year and a half.Also Read: <a href="https://www.wionews.com/trending/company-ends-up-spending-rs-4-800-crore-on-claude-ai-in-a-month-because-of-a-tiny-oversight-1780048597729">Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight</a>Also Read: <a href="https://www.wionews.com/trending/need-another-reason-to-hate-ai-chatgpt-does-not-think-older-adults-fit-new-job-roles-1780407645776">Need another reason to hate AI? ChatGPT thinks older adults can't do today's jobs</a><h2>How much electricity ChatGPT uses?</h2>The report further states that the cost of daily use of ChatGPT has exceeded the environmental cost of training. Training a model like ChatGPT-5 requires around 100 gigawatt-hours of electricity, one billion litres of water and a piece of land as large as 215 football fields. However, with an estimated 2.5 billion prompts per day, the consumption has gone way beyond the line. Researchers found that a concise response mode can reduce ChatGPT's output by 30 per cent, saving as much electricity as would be needed by nearly 760,000 people in sub-Saharan Africa in a year. Avoiding the use of words like please or thank you further helps.Also Read: <a href="https://www.wionews.com/trending/kill-ai-american-actor-ronny-chieng-says-at-harvard-to-roaring-applause-it-will-make-people-dumber-1780319629020">'Kill AI', American comedian Ronny Chieng says at Harvard to roaring applause: ‘It will make people dumber’</a><h2>Switching to green energy creates another problem</h2>However, the biggest problem is with AI-generated videos. The report states that a single high-resolution AI video clip requires more than 415 watt-hours of electricity, way more than what hundreds of AI images would need. The report further found that using renewable energy to power the data centres does not solve the problem. Switching from coal to bioenergy drops carbon emissions by 72 per cent, but increases the water footprint 30-fold and the land footprint 100-fold due to the agriculture required.

World Environment Day: A report by the United Nations has painted a scary picture of the future in the age of Artificial Intelligence. The water it uses can quench the thirst of all 8.1 billion people on Earth for over a year. Electricity, carbon emissions and electronic waste will skyrocket.

Humans seem to have dug their own graves with Artificial Intelligence, as a new study has found that the technology would take a massive toll on the climate in the next few years. According to a new report, by 2030, AI will need nearly 3 per cent of the world's electricity to function. The carbon emissions will be the same as that of United Kingdom in 2025, and electronic waste will be equivalent to trashing 250 Eiffel Towers every year. The most stark observation is about water, as the amount it would need will be enough to quench the thirst of every person on Earth for more than a year and a half. That's a pretty grim picture of the future painted by the United Nations University Institute for Water, Environment and Health. Researchers say carbon emissions are only a part of the toll AI takes on the climate, and reducing the harm AI would cause to the environment would depend on several more factors than just that. "Low-carbon is not automatically low-water or low-land,” the report states. Data centres consumed an estimated 448 terawatt-hours of electricity in 2025, with AI processes accounting for around 20 per cent of it. By 2034, AI-related electricity use could reach 40 per cent, or 374 terawatt-hours. Also Read: World Environment Day in the age of AI - Have humans given up on saving the climate for data centres? AI used 9.3 trillion litres of water in 2025 These data centres run 24*7 and need massive amounts of water to cool the systems. The data centre totals could double to 945 terawatt-hours, which can power 1.3 billion people in sub-Saharan Africa for over five years. The consumption of water, a major problem linked with data centres, will also considerably rise. In 2025, they used an estimated 9.3 trillion litres of water. This water can meet the needs of all 8.1 billion people on Earth for more than a year and a half. Also Read: Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight Also Read: Need another reason to hate AI? ChatGPT thinks older adults can't do today's jobs How much electricity ChatGPT uses? The report further states that the cost of daily use of ChatGPT has exceeded the environmental cost of training. Training a model like ChatGPT-5 requires around 100 gigawatt-hours of electricity, one billion litres of water and a piece of land as large as 215 football fields. However, with an estimated 2.5 billion prompts per day, the consumption has gone way beyond the line. Researchers found that a concise response mode can reduce ChatGPT's output by 30 per cent, saving as much electricity as would be needed by nearly 760,000 people in sub-Saharan Africa in a year. Avoiding the use of words like please or thank you further helps. Also Read: 'Kill AI', American comedian Ronny Chieng says at Harvard to roaring applause: ‘It will make people dumber’ Switching to green energy creates another problem However, the biggest problem is with AI-generated videos. The report states that a single high-resolution AI video clip requires more than 415 watt-hours of electricity, way more than what hundreds of AI images would need. The report further found that using renewable energy to power the data centres does not solve the problem. Switching from coal to bioenergy drops carbon emissions by 72 per cent, but increases the water footprint 30-fold and the land footprint 100-fold due to the agriculture required.

World Environment Day: A report by the United Nations has painted a scary picture of the future in the age of Artificial Intelligence. The water it uses can quench the thirst of all 8.1 billion people on Earth for over a year. Electricity, carbon emissions and electronic waste will skyrocket.

World Environment Day: AI could chug water enough to sustain all 8.1 billion people on Earth for over a year, UN report warns

AI chatbot Grok has come under scrutiny after allegations of generating non-consensual and abusive deepfake content surfaced in court. The case has intensified concerns over AI misuse, digital consent, online safety, and the growing threat of deepfake technology. Legal experts and lawmakers are closely watching the proceedings as the debate over AI regulation and accountability gains momentum.


Grok Accused of Creating Non-Consensual Content; Court Hears Case On AI Deepfake Abuse

In a massive move that could reshape global markets, AI industry leaders have announced plans for a staggering $350 billion injection of fresh equity. This capital influx, aimed at accelerating hyperscale infrastructure and next-gen model training, is set to hit the exchanges as tech giants look to cement their dominance.


AI Giants to Flood Markets with $350 Billion Fresh Equity

Artificial intelligence is fueling one of the biggest investment waves in modern history, with AI-focused companies attracting staggering valuations and reshaping global markets.

But as billions pour into the sector and investors chase the next AI giant, questions are growing over whether the industry is witnessing a genuine technological revolution—or the formation of a massive financial bubble. Is the AI boom sustainable, or are markets getting ahead of reality?

Trillion-dollar AI Boom: Bubble or Breakthrough?

Artificial intelligence (AI) adoption is growing quickly across industries as companies move from testing AI tools to using them in daily operations. But as businesses expand the use of AI agents and automated systems, many are now facing a larger challenge governance.Several enterprises are discovering that building AI tools is only one part of the process. Managing those systems safely, tracking how they work, and ensuring compliance are becoming equally important. According to a report by Boston Consulting Group (BCG), India’s enterprise AI market is expected to grow to nearly $17 billion by 2027. The report says much of this growth will come from companies moving AI projects out of pilot stages and into full-scale deployment.<h2>Why is governance becoming important?</h2>As AI agents begin handling customer support, internal workflows, operations, and data analysis, companies are under immense pressure to ensure these systems remain accountable and transparent. Experts say enterprises now need systems that can monitor AI behaviour, track decisions, manage risks, and maintain compliance with regulations. This is becoming more important as countries introduce stricter AI rules. In Europe, the EU AI Act has increased focus on responsible AI deployment, while businesses globally are facing rising concerns around privacy, security and accountability. Industry analysts believe governance could become one of the most important parts of the enterprise AI market over the next few years.<h2>Google Cloud expands focus on enterprise AI</h2>The growing focus on governance can also be seen in partnerships between cloud companies and AI-focused firms. In April 2026, Google Cloud selected nine “AI-native services partners” as part of its Gemini Enterprise transformation programme, announced at Google Cloud Next 2026 in Las Vegas. The programme is backed by a reported $750 million investment aimed at helping enterprises move from AI experimentation to production-level deployment. Among the selected firms was Covasant Technologies, an AI-native Services-as-Software company with operations across the United States, India, the United Kingdom, and the UAE. Google Cloud said the collaboration would focus on helping enterprises build autonomous AI systems that are integrated into business operations while maintaining oversight and governance. Victor Morales, Vice President of Global System Integrators Partnerships at Google Cloud, said the partnership aims to help customers use Gemini Enterprise to build “autonomous systems” that are closely connected with enterprise operations.<h2>AI-first firms are gaining attention</h2>The rise of AI governance has also brought attention to a new category of firms described as “AI-first” companies. Research firm Constellation Research recently included Covasant Technologies in its inaugural 2026 list of AI-First Service Firms. The list highlighted companies building enterprise solutions using AI-native operating models and digital labour systems. At the same time, enterprises are increasingly looking at certifications and compliance standards before deploying AI systems at scale. Covasant Technologies also achieved the ISO/IEC 42001:2023 accredited certification, which is considered to be one of the first international standards focused on AI management systems. Industry experts say certifications like ISO 42001 may become more important in enterprise procurement discussions as companies seek stronger governance structures for AI deployments.<h2>The next phase of enterprise AI</h2>The enterprise AI market is now entering a new phase where the focus is shifting from experimentation to long-term management. Companies are expected to invest more in governance tools, compliance systems and lifecycle management platforms as AI adoption increases. Analysts say enterprises that successfully balance AI innovation with accountability may gain an advantage as competition in the sector grows.While AI adoption continues to rise globally, experts believe that the companies that can govern AI effectively in addition to deploying it seamlessly could shape the next phase of enterprise AI technology.

Artificial intelligence (AI) adoption is growing quickly across industries as companies move from testing AI tools to using them in daily operations. But as businesses expand the use of AI agents and automated systems, many are now facing a larger challenge governance.

Artificial intelligence (AI) adoption is growing quickly across industries as companies move from testing AI tools to using them in daily operations. But as businesses expand the use of AI agents and automated systems, many are now facing a larger challenge governance. Several enterprises are discovering that building AI tools is only one part of the process. Managing those systems safely, tracking how they work, and ensuring compliance are becoming equally important. According to a report by Boston Consulting Group (BCG), India’s enterprise AI market is expected to grow to nearly $17 billion by 2027. The report says much of this growth will come from companies moving AI projects out of pilot stages and into full-scale deployment. Why is governance becoming important? As AI agents begin handling customer support, internal workflows, operations, and data analysis, companies are under immense pressure to ensure these systems remain accountable and transparent. Experts say enterprises now need systems that can monitor AI behaviour, track decisions, manage risks, and maintain compliance with regulations. This is becoming more important as countries introduce stricter AI rules. In Europe, the EU AI Act has increased focus on responsible AI deployment, while businesses globally are facing rising concerns around privacy, security and accountability. Industry analysts believe governance could become one of the most important parts of the enterprise AI market over the next few years. Google Cloud expands focus on enterprise AI The growing focus on governance can also be seen in partnerships between cloud companies and AI-focused firms. In April 2026, Google Cloud selected nine “AI-native services partners” as part of its Gemini Enterprise transformation programme, announced at Google Cloud Next 2026 in Las Vegas. The programme is backed by a reported $750 million investment aimed at helping enterprises move from AI experimentation to production-level deployment. Among the selected firms was Covasant Technologies, an AI-native Services-as-Software company with operations across the United States, India, the United Kingdom, and the UAE. Google Cloud said the collaboration would focus on helping enterprises build autonomous AI systems that are integrated into business operations while maintaining oversight and governance. Victor Morales, Vice President of Global System Integrators Partnerships at Google Cloud, said the partnership aims to help customers use Gemini Enterprise to build “autonomous systems” that are closely connected with enterprise operations. AI-first firms are gaining attention The rise of AI governance has also brought attention to a new category of firms described as “AI-first” companies. Research firm Constellation Research recently included Covasant Technologies in its inaugural 2026 list of AI-First Service Firms. The list highlighted companies building enterprise solutions using AI-native operating models and digital labour systems. At the same time, enterprises are increasingly looking at certifications and compliance standards before deploying AI systems at scale. Covasant Technologies also achieved the ISO/IEC 42001:2023 accredited certification, which is considered to be one of the first international standards focused on AI management systems. Industry experts say certifications like ISO 42001 may become more important in enterprise procurement discussions as companies seek stronger governance structures for AI deployments. The next phase of enterprise AI The enterprise AI market is now entering a new phase where the focus is shifting from experimentation to long-term management. Companies are expected to invest more in governance tools, compliance systems and lifecycle management platforms as AI adoption increases. Analysts say enterprises that successfully balance AI innovation with accountability may gain an advantage as competition in the sector grows. While AI adoption continues to rise globally, experts believe that the companies that can govern AI effectively in addition to deploying it seamlessly could shape the next phase of enterprise AI technology.

Artificial intelligence (AI) adoption is growing quickly across industries as companies move from testing AI tools to using them in daily operations. But as businesses expand the use of AI agents and automated systems, many are now facing a larger challenge governance.

AI adoption is rising fast: Key things enterprises need before scaling AI agents

AI company Anthropic has expanded its Project Glasswing initiative to nearly 200 organisations, aiming to strengthen collaboration on AI safety, research, and responsible technology development. The expansion reflects growing global efforts to address concerns surrounding artificial intelligence, including transparency, security, and ethical deployment. Industry experts say the move could play a key role in shaping future AI governance and standards.


Anthropic Expands Project Glasswing To Nearly 200 Organisations

Global tech markets are buzzing after reports emerged of a potential massive capital move linked to Google, centered around an 80-billion-dollar AI infrastructure push. In this report of news in numbers, we break down how the funds are expected to flow and what it could mean for the global AI landscape. Take a look.


Google’s Big AI Bet: Can It Win The Future Of Artificial Intelligence?

US President Donald Trump has ordered expanded security test reviews for artificial intelligence systems as Washington moves to tighten oversight of emerging AI technologies. The new measures aim to screen advanced AI models for potential national security threats, misuse risks, and vulnerabilities. The move highlights growing concerns over AI safety, regulation, and the race to control powerful next-generation technologies.


Donald Trump Orders AI Security Test Reviews | US to Screen AI Models for Risks