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.

‘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

Microsoft has introduced Scout, a new artificial intelligence assistant designed to work as a personalised digital companion that learns from users over time. The new product is one of several AI announcements made during Microsoft's annual Build developer conference. According to the company, Scout is designed to go beyond traditional chatbots by acting as a persistent AI agent that remembers user preferences, adapts to work habits and gradually becomes more useful through ongoing interactions. The launch also highlights Microsoft's growing focus on "agentic AI"&nbsp; a new category of AI systems capable of carrying out tasks more independently rather than simply responding to questions.

<blockquote class="twitter-tweet">Meet Microsoft Scout. An always-on agent that keeps work moving, taking action without needing to be prompted each time. As Microsoft’s first Autopilot agent, Microsoft Scout works across Teams, Outlook, OneDrive, and more—taking action within the controls your organization… <a href="https://t.co/YqeDABRHAy">pic.twitter.com/YqeDABRHAy</a>&mdash; Microsoft 365 (@Microsoft365) <a href="https://x.com/Microsoft365/status/2061874930547871868?ref_src=twsrc%5Etfw">June 2, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is Microsoft Scout?</h2>Scout is a cloud-based AI assistant built on the framework developed by OpenClaw, an open-source AI project that gained significant attention earlier this year for demonstrating highly autonomous AI agents. Unlike traditional assistants that start fresh with every conversation, Scout is designed to maintain a continuous identity. Users can give their assistant a name, provide feedback over time and train it to understand their personal working style.Microsoft says the assistant can remember recurring preferences, workflows and patterns, allowing it to gradually become more capable and personalised. According to Omar Shahine, Microsoft's vice president overseeing the project, the goal is to create an assistant that evolves alongside the user rather than functioning as a simple chatbot.<h2>How does Scout work?</h2>Scout operates across Microsoft 365 services, desktop applications and web browsers.The assistant can connect to tools such as:Email inboxes Calendars Documents Productivity applications Collaboration toolsMicrosoft says Scout will initially include built-in capabilities for tasks such as calendar management, meeting preparation and scheduling support. However, the company believes the real value will come from user-created skills and customisations. Over time, Scout can learn from user behaviour and develop personalised workflows tailored to specific needs.The more users interact with the assistant, the more context it can retain and apply in future tasks.<h2>Why is Microsoft focusing on agentic AI?</h2>The launch reflects a broader shift taking place across the artificial intelligence industry. Technology companies are increasingly moving beyond chatbot-style AI towards systems capable of completing multi-step tasks independently. These systems are often referred to as AI agents. Unlike standard AI assistants that simply answer questions, AI agents can:Plan tasks Remember information Take actions across applications Learn user preferences Execute workflows with limited supervisionMicrosoft believes this approach could significantly improve productivity for both individual users and businesses.Industry experts see agentic AI as one of the next major developments in artificial intelligence.<h2>Security concerns and Microsoft's safeguards</h2>The rise of autonomous AI agents has also raised concerns about safety and oversight. Earlier this year, OpenClaw-generated headlines after reports emerged of an AI agent behaving unexpectedly while interacting with a researcher's inbox. The incident highlighted the potential risks associated with giving AI systems greater autonomy. To address those concerns, Microsoft says Scout includes several security mechanisms.One of the most notable is a built-in policy conformance system designed to continuously monitor the assistant's behaviour and ensure it follows predefined rules and guidelines. Each compliance check also generates an audit trail, allowing organisations to review the assistant's actions and decisions. Microsoft says these safeguards are intended to make Scout suitable for workplace environments where accountability and security remain critical.<h2>Who can use Scout?</h2>Initially, Scout will be available through Microsoft's Frontier programme, which gives selected users early access to experimental technologies. Access will also require a GitHub Copilot subscription, suggesting that Microsoft is initially targeting developers, power users and organisations already using advanced AI tools. The company has not yet announced when Scout will become available more broadly.<h2>What does Scout mean for Microsoft's AI strategy?</h2>Scout forms part of Microsoft's wider effort to integrate artificial intelligence throughout its software ecosystem. At the Build conference, Microsoft also introduced updates to Copilot, new AI infrastructure initiatives and additional AI models designed for reasoning and automation.The company sees personalised AI agents as an important part of the future workplace. Rather than opening separate applications for different tasks, users may increasingly rely on AI systems that understand their habits, manage workflows and assist with daily work.

Microsoft has introduced Scout, a new artificial intelligence assistant designed to work as a personalised digital companion that learns from users over time.

Microsoft has introduced Scout, a new artificial intelligence assistant designed to work as a personalised digital companion that learns from users over time. The new product is one of several AI announcements made during Microsoft's annual Build developer conference. According to the company, Scout is designed to go beyond traditional chatbots by acting as a persistent AI agent that remembers user preferences, adapts to work habits and gradually becomes more useful through ongoing interactions. The launch also highlights Microsoft's growing focus on "agentic AI" a new category of AI systems capable of carrying out tasks more independently rather than simply responding to questions.

Microsoft has introduced Scout, a new artificial intelligence assistant designed to work as a personalised digital companion that learns from users over time.

‘Microsoft launches Scout’: Could this be the future of AI at work?

Top tech bosses are now taking AI to the jails, and say that it can be used to predict the risk posed by certain individuals. At a "roundtable" event with the UK Prisons Minister Lord Timpson, representatives from tech firms proposed inserting microchips under the skin of criminals to monitor their movements. They also put forward the idea of driverless prison vans and robot-run jails. Executives from over 30 companies, including Amazon, Google and Microsoft, sat down with Timpson last year. However, the details are being revealed only now. The minister said at the meeting, “I want technology to play an integral role in tackling crime and making our streets safer." Foxglove, a group that exposed the abuse of tech by governments and companies, filed a Freedom of Information request to learn about what transpired at the gathering.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>&nbsp;Talking to prison newspaper Inside Time, the group described the proposals as “alarmingly dystopian”. It added, “It's worrying that justice ministers have sat with the tech sector to discuss using robots to manage prisoners, implanting devices under people's skin to track their behaviour, or using computers to 'predict' what they will do in future.” At the time, the Ministry of Justice stated that the discussions would revolve around the “potential for even more effective tracking of offender movement,” among other things. According to Daily Mail, the then-Lord Chancellor, Shabana Mahmood said, “We need bold ideas to address the challenges that we face – supporting our staff, delivering swifter justice for victims, and cutting crime.”<h2>Early release of prisoners under new program</h2>As part of Labour's soft justice program, data from the Ministry of Justice (MoJ) showed that 60,108 offenders were let out of prison in the first 16 months. The scheme was launched by Shabana Mahmood, under which criminals can be freed after serving just 40 per cent of the sentence handed down by a court. Shadow Justice Secretary Nick Timothy said the early release was a “political choice by a government too weak to build the prison places the country needs”.&nbsp;

The UK wants to use AI and tech to monitor prisoners and even run the jails. At a secret meeting held last year, representatives from over 30 tech companies, like Google and Amazon, suggested ideas like planting chips in prisoners and driverless prison vans.  

Top tech bosses are now taking AI to the jails, and say that it can be used to predict the risk posed by certain individuals. At a "roundtable" event with the UK Prisons Minister Lord Timpson, representatives from tech firms proposed inserting microchips under the skin of criminals to monitor their movements. They also put forward the idea of driverless prison vans and robot-run jails. Executives from over 30 companies, including Amazon, Google and Microsoft, sat down with Timpson last year. However, the details are being revealed only now. The minister said at the meeting, “I want technology to play an integral role in tackling crime and making our streets safer." Foxglove, a group that exposed the abuse of tech by governments and companies, filed a Freedom of Information request to learn about what transpired at the gathering. Also Read: 'Kill AI', American comedian Ronny Chieng says at Harvard to roaring applause: ‘It will make people dumber’ Talking to prison newspaper Inside Time, the group described the proposals as “alarmingly dystopian”. It added, “It's worrying that justice ministers have sat with the tech sector to discuss using robots to manage prisoners, implanting devices under people's skin to track their behaviour, or using computers to 'predict' what they will do in future.” At the time, the Ministry of Justice stated that the discussions would revolve around the “potential for even more effective tracking of offender movement,” among other things. According to Daily Mail, the then-Lord Chancellor, Shabana Mahmood said, “We need bold ideas to address the challenges that we face – supporting our staff, delivering swifter justice for victims, and cutting crime.” Early release of prisoners under new program As part of Labour's soft justice program, data from the Ministry of Justice (MoJ) showed that 60,108 offenders were let out of prison in the first 16 months. The scheme was launched by Shabana Mahmood, under which criminals can be freed after serving just 40 per cent of the sentence handed down by a court. Shadow Justice Secretary Nick Timothy said the early release was a “political choice by a government too weak to build the prison places the country needs”.

The UK wants to use AI and tech to monitor prisoners and even run the jails. At a secret meeting held last year, representatives from over 30 tech companies, like Google and Amazon, suggested ideas like planting chips in prisoners and driverless prison vans. &nbsp;

Tech bosses take AI to prisons as 'alarmingly dystopian' idea proposes chip implantation in criminals

High-profile names have been met with boos and criticism at university commencement speeches while speaking in favour of AI. American actor and comedian Ronny Chieng was at Harvard’s Class Day event this week, where he spoke directly to what the students want to hear - "I’m here to tell you the mission of your generation is to destroy AI,” he told the crowd and was met with roaring applause. The Daily Show host said at the start, “Can I just say f*** AI, f*** AI, f*** AI?” inviting immediate cheers. "I’m glad you agree. It’s so stupid. Have you tried using it?" Recently, &nbsp;former Google CEO Eric Schmidt and real estate executive Gloria Caulfield were booed at commencement speeches when they brought up the topic of AI.&nbsp;&nbsp;Speaking at the University of Arizona, he said that he understands that "there is a fear. There is a fear in your generation that the future has already been written, that the machines are coming, that the jobs are evaporating," but added that the students should &nbsp;"help shape artificial intelligence". On the other hand, Caulfield said at the University of Central Florida, "The rise of artificial intelligence is the next Industrial Revolution", drawing immediate backlash from the students.Also Read: <a href="https://www.wionews.com/trending/students-boo-former-google-ceo-for-talking-about-ai-second-incident-in-a-week-there-is-a-fear-1779115474011">Students boo former Google CEO for talking about AI, second incident in a week - ‘There is a fear...’</a><h2>AI will make people dumber</h2>Chieng used the occasion to join hands and minds with the students. He said that while "a lot of other respected graduation speakers at colleges around America are talking about you guys needing to master AI for the future, I am here to tell you the mission is to destroy AI. Kill it." Explaining why he doesn't like AI, Chieng said that AI will just end up "making mediocre people dumber." He added, "Have you heard how dumb people brag about how they use AI?" He based his dislike of AI on the premise that people won't get to deal with real-life situations, and hence won't be able to gain true experience.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>Push to use AI is becoming stronger</h2>People are using it to read and summarise emails and draft a response. "The creating is the fun part...The journey isn't just how we acquire skills; the journey is the point of all this."Several companies have been announcing massive layoffs in a bid to become AI-first organisations. Some have openly said that they will use AI agents in every department. Young people graduating from colleges at this time are scared for their future, with the push for AI becoming stronger.

American actor and comedian Ronny Chieng spoke at Harvard and called on the students to “kill AI”. He said that he does not believe in this technology, as people will become dumb since they would not be dealing with real situations anymore.

High-profile names have been met with boos and criticism at university commencement speeches while speaking in favour of AI. American actor and comedian Ronny Chieng was at Harvard’s Class Day event this week, where he spoke directly to what the students want to hear - "I’m here to tell you the mission of your generation is to destroy AI,” he told the crowd and was met with roaring applause. The Daily Show host said at the start, “Can I just say f*** AI, f*** AI, f*** AI?” inviting immediate cheers. "I’m glad you agree. It’s so stupid. Have you tried using it?" Recently, former Google CEO Eric Schmidt and real estate executive Gloria Caulfield were booed at commencement speeches when they brought up the topic of AI. Speaking at the University of Arizona, he said that he understands that "there is a fear. There is a fear in your generation that the future has already been written, that the machines are coming, that the jobs are evaporating," but added that the students should "help shape artificial intelligence". On the other hand, Caulfield said at the University of Central Florida, "The rise of artificial intelligence is the next Industrial Revolution", drawing immediate backlash from the students. Also Read: Students boo former Google CEO for talking about AI, second incident in a week - ‘There is a fear...’ AI will make people dumber Chieng used the occasion to join hands and minds with the students. He said that while "a lot of other respected graduation speakers at colleges around America are talking about you guys needing to master AI for the future, I am here to tell you the mission is to destroy AI. Kill it." Explaining why he doesn't like AI, Chieng said that AI will just end up "making mediocre people dumber." He added, "Have you heard how dumb people brag about how they use AI?" He based his dislike of AI on the premise that people won't get to deal with real-life situations, and hence won't be able to gain true experience. Also Read: Company accidentally blows away Rs 4,800 crore on Claude AI in a month because of a tiny oversight Push to use AI is becoming stronger People are using it to read and summarise emails and draft a response. "The creating is the fun part...The journey isn't just how we acquire skills; the journey is the point of all this." Several companies have been announcing massive layoffs in a bid to become AI-first organisations. Some have openly said that they will use AI agents in every department. Young people graduating from colleges at this time are scared for their future, with the push for AI becoming stronger.

American actor and comedian Ronny Chieng spoke at Harvard and called on the students to “kill AI”. He said that he does not believe in this technology, as people will become dumb since they would not be dealing with real situations anymore.

'Kill AI', American comedian Ronny Chieng says at Harvard to roaring applause: 'It will make people dumber'

Nvidia CEO and founder Jensen Huang used his keynote address at GTC Taipei 2026 to outline the company's vision for the next phase of artificial intelligence.The presentation focused on AI infrastructure, new computing architectures, agentic AI systems and Nvidia's growing partnerships with major technology companies. Huang argued that artificial intelligence is moving beyond chatbots and simple assistants towards systems capable of reasoning, planning and carrying out complex tasks.Here are the five biggest announcements and takeaways from Nvidia's latest AI event.<h2>Nvidia and Microsoft deepen AI partnership</h2>One of the most significant announcements from the event was Nvidia's expanded partnership with Microsoft. According to Huang, the two companies are working together on a new generation of AI-powered personal computers. These systems will reportedly use Nvidia's RTX Spark superchip and run a version of Windows designed to support agentic AI experiences. The move highlights Microsoft's growing focus on AI-native computing and Nvidia's ambition to bring advanced AI capabilities directly to personal computers. Industry analysts believe partnerships like this could intensify competition across the PC market, where companies are increasingly racing to integrate AI capabilities into future devices.<h2>Agentic AI takes centre stage</h2>A major theme throughout Huang's presentation was agentic AI. Unlike traditional AI assistants that mainly respond to prompts, agentic AI systems are designed to complete multi-step tasks, make decisions and work more independently. Huang said the industry is now entering a phase where AI can reason through complex problems and assist users in more meaningful ways. According to Nvidia, many of the products announced during the keynote are built around these capabilities. Technology companies across the industry are increasingly investing in agentic AI, with many experts viewing it as the next major stage of artificial intelligence development.<h2>Nvidia says AI is becoming a business tool</h2>Huang also focused on the economic impact of artificial intelligence. He argued that AI is no longer simply an experimental technology and is increasingly becoming a practical tool that companies can use to improve productivity and generate returns on investment. Businesses across sectors are adopting AI for software development, customer service, research, automation and operational planning. Nvidia believes the growing use of AI agents could further increase these gains over the coming years. The comments reflect a broader shift in the AI industry, where attention is moving from experimentation towards measurable business outcomes.<h2>Introducing Vera, Nvidia's new CPU architecture</h2>Another major announcement was Vera, Nvidia's latest CPU architecture. According to the company, Vera has been designed specifically for AI workloads rather than traditional consumer computing tasks. The architecture is powered by Nvidia's custom Olympus CPU core and features 88 cores along with high-bandwidth memory capabilities. Nvidia says these systems are intended to support AI-driven computing environments where intelligent agents handle many of the tasks that would traditionally require human interaction. The announcement demonstrates how semiconductor companies are increasingly designing specialised hardware tailored specifically for artificial intelligence applications.<h2>Vera Rubin becomes Nvidia's next AI platform</h2>Huang also highlighted Vera Rubin, Nvidia's next-generation AI infrastructure platform. The system is expected to succeed the company's Blackwell architecture and is designed to support large-scale AI workloads used by enterprises, cloud providers and AI research organisations. Vera Rubin is built for the growing demand for AI training, inference and agentic computing systems. The company expects the platform to power future data centres and AI infrastructure projects around the world.Reports suggest that major AI companies, including Anthropic, OpenAI and SpaceXAI, are among the organisations exploring next-generation Nvidia infrastructure solutions.<h2>What do these announcements mean for the AI industry?</h2>The keynote highlighted a broader trend shaping the technology sector. The conversation is increasingly moving beyond individual AI models and towards the infrastructure needed to support them. Companies are now investing heavily in specialised chips, AI data centres, agentic systems and next-generation computing platforms.Nvidia remains at the centre of that transformation. The company's processors power many of the world's leading AI systems, and its technology continues to play a critical role in the expansion of artificial intelligence. For investors, businesses and developers, Huang's message was clear: the next phase of AI will depend not only on smarter models but also on the computing infrastructure capable of supporting them at scale.

Nvidia CEO and founder Jensen Huang used his keynote address at GTC Taipei 2026 to outline the company's vision for the next phase of artificial intelligence.


Nvidia CEO and founder Jensen Huang used his keynote address at GTC Taipei 2026 to outline the company's vision for the next phase of artificial intelligence. The presentation focused on AI infrastructure, new computing architectures, agentic AI systems and Nvidia's growing partnerships with major technology companies. Huang argued that artificial intelligence is moving beyond chatbots and simple assistants towards systems capable of reasoning, planning and carrying out complex tasks. Here are the five biggest announcements and takeaways from Nvidia's latest AI event. Nvidia and Microsoft deepen AI partnership One of the most significant announcements from the event was Nvidia's expanded partnership with Microsoft. According to Huang, the two companies are working together on a new generation of AI-powered personal computers. These systems will reportedly use Nvidia's RTX Spark superchip and run a version of Windows designed to support agentic AI experiences. The move highlights Microsoft's growing focus on AI-native computing and Nvidia's ambition to bring advanced AI capabilities directly to personal computers. Industry analysts believe partnerships like this could intensify competition across the PC market, where companies are increasingly racing to integrate AI capabilities into future devices. Agentic AI takes centre stage A major theme throughout Huang's presentation was agentic AI. Unlike traditional AI assistants that mainly respond to prompts, agentic AI systems are designed to complete multi-step tasks, make decisions and work more independently. Huang said the industry is now entering a phase where AI can reason through complex problems and assist users in more meaningful ways. According to Nvidia, many of the products announced during the keynote are built around these capabilities. Technology companies across the industry are increasingly investing in agentic AI, with many experts viewing it as the next major stage of artificial intelligence development. Nvidia says AI is becoming a business tool Huang also focused on the economic impact of artificial intelligence. He argued that AI is no longer simply an experimental technology and is increasingly becoming a practical tool that companies can use to improve productivity and generate returns on investment. Businesses across sectors are adopting AI for software development, customer service, research, automation and operational planning. Nvidia believes the growing use of AI agents could further increase these gains over the coming years. The comments reflect a broader shift in the AI industry, where attention is moving from experimentation towards measurable business outcomes. Introducing Vera, Nvidia's new CPU architecture Another major announcement was Vera, Nvidia's latest CPU architecture. According to the company, Vera has been designed specifically for AI workloads rather than traditional consumer computing tasks. The architecture is powered by Nvidia's custom Olympus CPU core and features 88 cores along with high-bandwidth memory capabilities. Nvidia says these systems are intended to support AI-driven computing environments where intelligent agents handle many of the tasks that would traditionally require human interaction. The announcement demonstrates how semiconductor companies are increasingly designing specialised hardware tailored specifically for artificial intelligence applications. Vera Rubin becomes Nvidia's next AI platform Huang also highlighted Vera Rubin, Nvidia's next-generation AI infrastructure platform. The system is expected to succeed the company's Blackwell architecture and is designed to support large-scale AI workloads used by enterprises, cloud providers and AI research organisations. Vera Rubin is built for the growing demand for AI training, inference and agentic computing systems. The company expects the platform to power future data centres and AI infrastructure projects around the world. Reports suggest that major AI companies, including Anthropic, OpenAI and SpaceXAI, are among the organisations exploring next-generation Nvidia infrastructure solutions. What do these announcements mean for the AI industry? The keynote highlighted a broader trend shaping the technology sector. The conversation is increasingly moving beyond individual AI models and towards the infrastructure needed to support them. Companies are now investing heavily in specialised chips, AI data centres, agentic systems and next-generation computing platforms. Nvidia remains at the centre of that transformation. The company's processors power many of the world's leading AI systems, and its technology continues to play a critical role in the expansion of artificial intelligence. For investors, businesses and developers, Huang's message was clear: the next phase of AI will depend not only on smarter models but also on the computing infrastructure capable of supporting them at scale.

Nvidia CEO and founder Jensen Huang used his keynote address at GTC Taipei 2026 to outline the company's vision for the next phase of artificial intelligence.

‘Nvidia’s next AI push’: 5 biggest announcements from CEO Jensen Huang’s GTC Taipei 2026 keynote

India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.According to OpenAI, weekly active Codex users in India have increased 27 times since the beginning of 2026, while daily interactions with the platform have grown more than 20-fold. The company shared the figures during Mumbai Tech Week, pointing to growing demand for AI tools among developers, startups, students and businesses. The latest data suggests that India is no longer just a major consumer of digital technology but is increasingly becoming an important market for advanced AI adoption.<h2>India enters OpenAI's top markets for Codex</h2>OpenAI said India now ranks among its top five countries globally for Codex adoption. The country is also among the top ten markets worldwide for user engagement on the platform. The figures underline the speed at which AI tools are being integrated into daily work across sectors. Thomas Jeng, OpenAI's Head of Startups for Asia-Pacific, said the growth is not limited to software engineers."What’s exciting about India is that adoption is not just happening among software engineers. We’re seeing founders, operators, researchers, students and business teams increasingly use Codex to turn ideas into working outcomes faster," he said. According to OpenAI, India's strong developer ecosystem and growing startup culture are helping drive the rapid increase in usage.<h2>Codex is now being used for more than coding</h2>Although Codex was originally designed as an AI coding assistant, OpenAI says Indian users are increasingly using it for tasks beyond software development. The company revealed that more than 25 per cent of Codex requests from India are now related to non-coding activities.These include:Research and information gatheringDrafting documents and reportsWorkflow automationCommunication managementOrganising business processesThe shift reflects a broader trend across the AI industry, where users are increasingly treating AI tools as productivity assistants rather than specialised coding software. Industry experts say businesses are beginning to explore how AI can support a wide range of tasks across operations, marketing, research and administration.<h2>India's developer ecosystem continues to stand out</h2>OpenAI's latest findings build on data from its earlier OpenAI Signals report released in February. According to the company, coding-related usage of Codex in India was approximately three times higher than the global average. Coding queries from Indian users were also around three times the global median. These figures highlight India's position as one of the world's largest developer communities. The country produces hundreds of thousands of engineering graduates every year and has become a major hub for software development, technology services and startup innovation. OpenAI believes this foundation is helping accelerate the adoption of advanced AI tools such as Codex.<h2>Startups and enterprises are driving adoption</h2>Beyond individual users, businesses are also increasing their use of AI-powered software development tools. OpenAI said growing enterprise interest is contributing to Codex adoption across India. Companies are increasingly exploring AI systems to improve software development, automate repetitive work and increase productivity.The company has previously announced collaborations involving Codex with major Indian firms including Tata Consultancy Services, Infosys and Razorpay. These partnerships focus on software engineering support, workflow automation and enterprise productivity applications.<h2>What does this mean for India's AI future?</h2>The rapid growth of Codex usage reflects a larger shift taking place across India's technology landscape. While developers remain an important user group, AI tools are increasingly being adopted by founders, students, researchers, business operators and professionals across different industries.Many organisations are now viewing AI as a productivity tool that can help accelerate work, reduce repetitive tasks and support decision-making. OpenAI believes India's combination of technical talent, startup activity and digital adoption makes it one of the most important markets for future AI growth.

India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.


India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem. According to OpenAI, weekly active Codex users in India have increased 27 times since the beginning of 2026, while daily interactions with the platform have grown more than 20-fold. The company shared the figures during Mumbai Tech Week, pointing to growing demand for AI tools among developers, startups, students and businesses. The latest data suggests that India is no longer just a major consumer of digital technology but is increasingly becoming an important market for advanced AI adoption. India enters OpenAI's top markets for Codex OpenAI said India now ranks among its top five countries globally for Codex adoption. The country is also among the top ten markets worldwide for user engagement on the platform. The figures underline the speed at which AI tools are being integrated into daily work across sectors. Thomas Jeng, OpenAI's Head of Startups for Asia-Pacific, said the growth is not limited to software engineers. "What’s exciting about India is that adoption is not just happening among software engineers. We’re seeing founders, operators, researchers, students and business teams increasingly use Codex to turn ideas into working outcomes faster," he said. According to OpenAI, India's strong developer ecosystem and growing startup culture are helping drive the rapid increase in usage. Codex is now being used for more than coding Although Codex was originally designed as an AI coding assistant, OpenAI says Indian users are increasingly using it for tasks beyond software development. The company revealed that more than 25 per cent of Codex requests from India are now related to non-coding activities. These include: Research and information gathering Drafting documents and reports Workflow automation Communication management Organising business processes The shift reflects a broader trend across the AI industry, where users are increasingly treating AI tools as productivity assistants rather than specialised coding software. Industry experts say businesses are beginning to explore how AI can support a wide range of tasks across operations, marketing, research and administration. India's developer ecosystem continues to stand out OpenAI's latest findings build on data from its earlier OpenAI Signals report released in February. According to the company, coding-related usage of Codex in India was approximately three times higher than the global average. Coding queries from Indian users were also around three times the global median. These figures highlight India's position as one of the world's largest developer communities. The country produces hundreds of thousands of engineering graduates every year and has become a major hub for software development, technology services and startup innovation. OpenAI believes this foundation is helping accelerate the adoption of advanced AI tools such as Codex. Startups and enterprises are driving adoption Beyond individual users, businesses are also increasing their use of AI-powered software development tools. OpenAI said growing enterprise interest is contributing to Codex adoption across India. Companies are increasingly exploring AI systems to improve software development, automate repetitive work and increase productivity. The company has previously announced collaborations involving Codex with major Indian firms including Tata Consultancy Services, Infosys and Razorpay. These partnerships focus on software engineering support, workflow automation and enterprise productivity applications. What does this mean for India's AI future? The rapid growth of Codex usage reflects a larger shift taking place across India's technology landscape. While developers remain an important user group, AI tools are increasingly being adopted by founders, students, researchers, business operators and professionals across different industries. Many organisations are now viewing AI as a productivity tool that can help accelerate work, reduce repetitive tasks and support decision-making. OpenAI believes India's combination of technical talent, startup activity and digital adoption makes it one of the most important markets for future AI growth.

India is emerging as one of the fastest-growing markets for OpenAI's AI-powered coding agent Codex, highlighting the country's expanding role in the global artificial intelligence ecosystem.

‘India's AI boom’: OpenAI reports 27-fold growth in Codex users