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OpenAI CEO Sam Altman and the Trump administration are considering a possible government stake at the artificial intelligence start-up, reported CNBC. Earlier reports have surfaced that White House has held preliminary discussions with major AI companies about the potential for the government to buy some shares in their firms. Speaking to reporters aboard Air Force One on Friday, Trump stated that his administration is exploring concepts where pieces of these companies could be given to the federal government to establish a "partnership with the American public."The report comes as the AI giants SpaceX, OpenAI, and Anthropic are planning for an IPO. OpenAI CEO Sam Altman has discussed the idea of selling equity to the government at the start of Trump's second term. It had also sought a US government loan to build chip factories ​in the US. Earlier this week, Altman met with a range of lawmakers and officials in Washington about regulation and the latest developments in AI.&nbsp;“There are concepts where pieces could be given to the American public, where the American public essentially becomes a partner,” said US President Donald Trump to the reporter.&nbsp;Also Read: <a href="https://www.wionews.com/world/tova-noel-denies-orange-figure-jeffrey-epstein-jail-footage-1780741329354">Who is Tova Noel? Former Epstein guard denies being orange figure seen on staircase</a>As part of the deal, OpenAI will donate equity to the US government to seed something like the “Public Wealth Fund”. Open AI said that the government c could “invest in diversified, long-term assets” and would enable citizens to participate in the “upside” of AI growth.&nbsp;The decision could have implications both domestically and globally. As the government could effectively become a partner of the companies, this means the government would need to keep the AI companies' stock price high to fund public programs. Further, we could see softening of regulations to break up tech monopolies or enforce data privacy rules. It could also be a hedge against public backlash for job loss and resource allocation.Sen Bernie Sanders proposed that the US government take a 50 per cent ownership stake in the AI companies. If the government becomes the majority stakeholder, focus might shift to national security and defence. It would force the government to look away from profit; countries like Russia and China would perceive this as an extension of the US military.&nbsp;As news in Washington circulated, whether the government should take an ownership stake in individual AI companies, tech and chip stocks saw a bloodbath. Tech stocks plummeted on Friday, as the NASDAQ was down by 4.2 per cent on Friday, and the PHLX Semiconductor Sector index dropped over 10 per cent. Brodcom was down by 13 per cent, NVIDIA was down 6.2 per cent on Friday, falling below the $5 trillion market cap threshold, and Meta declined 5.5 per cent along with other companies like Marvell Technology, Micron Technology, Intel and Advanced Micro Devices.&nbsp;

The Trump administration is reportedly exploring a potential government stake in OpenAI and other AI firms, raising questions about regulation, public ownership and the future of the artificial intelligence industry.

OpenAI CEO Sam Altman and the Trump administration are considering a possible government stake at the artificial intelligence start-up, reported CNBC. Earlier reports have surfaced that White House has held preliminary discussions with major AI companies about the potential for the government to buy some shares in their firms. Speaking to reporters aboard Air Force One on Friday, Trump stated that his administration is exploring concepts where pieces of these companies could be given to the federal government to establish a "partnership with the American public." The report comes as the AI giants SpaceX, OpenAI, and Anthropic are planning for an IPO. OpenAI CEO Sam Altman has discussed the idea of selling equity to the government at the start of Trump's second term. It had also sought a US government loan to build chip factories in the US. Earlier this week, Altman met with a range of lawmakers and officials in Washington about regulation and the latest developments in AI. “There are concepts where pieces could be given to the American public, where the American public essentially becomes a partner,” said US President Donald Trump to the reporter. Also Read: Who is Tova Noel? Former Epstein guard denies being orange figure seen on staircase As part of the deal, OpenAI will donate equity to the US government to seed something like the “Public Wealth Fund”. Open AI said that the government c could “invest in diversified, long-term assets” and would enable citizens to participate in the “upside” of AI growth. The decision could have implications both domestically and globally. As the government could effectively become a partner of the companies, this means the government would need to keep the AI companies' stock price high to fund public programs. Further, we could see softening of regulations to break up tech monopolies or enforce data privacy rules. It could also be a hedge against public backlash for job loss and resource allocation. Sen Bernie Sanders proposed that the US government take a 50 per cent ownership stake in the AI companies. If the government becomes the majority stakeholder, focus might shift to national security and defence. It would force the government to look away from profit; countries like Russia and China would perceive this as an extension of the US military. As news in Washington circulated, whether the government should take an ownership stake in individual AI companies, tech and chip stocks saw a bloodbath. Tech stocks plummeted on Friday, as the NASDAQ was down by 4.2 per cent on Friday, and the PHLX Semiconductor Sector index dropped over 10 per cent. Brodcom was down by 13 per cent, NVIDIA was down 6.2 per cent on Friday, falling below the $5 trillion market cap threshold, and Meta declined 5.5 per cent along with other companies like Marvell Technology, Micron Technology, Intel and Advanced Micro Devices.

The Trump administration is reportedly exploring a potential government stake in OpenAI and other AI firms, raising questions about regulation, public ownership and the future of the artificial intelligence industry.

Trump administration explores potential government stake in OpenAI

Recently, Google DeepMind CEO Demis Hassabis said that Artificial General Intelligence (AGI) — the point at which AI can perform at or beyond human levels — is no longer a distant goal, but could happen as early as 2030, plus or minus a year. The winner of Nobel Prize for chemistry called this the beginning of a "new human era," and added that humanity has only a few years left to prepare. His warning was that society risks squandering that window on hype and backlash rather than genuine readiness.What does Demis Hassabis mean? Is it going to create the ‘robots taking over humans’ era? What kind of AGI is dangerous?Also read: <a href="https://www.wionews.com/technology/nvidia-s-next-ai-push-5-biggest-announcements-from-ceo-jensen-huang-s-gtc-taipei-2026-keynote-1780298627531">Nvidia's next AI push: 5 biggest announcements from CEO Jensen Huang's GTC Taipei 2026 keynote&nbsp;</a><h2>AGI will be a civilizational inflection point for humanity</h2>&nbsp;Hassabis appears to envision a "golden era" of radical abundance — AGI solving what he calls "root-node problems" like diseases, and finding new energy sources. But he also is warning that the transition will be so fast and so sweeping that societies, governments, and institutions won't have time to adapt unless they start preparing now. He sees 2026 itself as a turning point, with AI agents and tool-use capabilities already becoming genuinely useful in everyday work.Also read: <a href="https://www.wionews.com/technology/google-ai-solves-decades-old-maths-problems-but-deepmind-ceo-says-agi-is-still-far-away-1779695717629">Google AI solves decades-old maths problems, but DeepMind CEO says AGI is still far away</a><h2>What are AGI capabilities now?&nbsp;</h2>Today's frontier AI models can write code, pass exams, conduct research, and reason across complex domains — but they still lack true general reasoning and autonomous learning. Sceptics point to benchmarks like ARC-AGI-3 as evidence that current systems remain far from human-level general reasoning. But some tech founders believe AGI thresholds have already been crossed, while mainstream researchers say we're close but not there yet.&nbsp;&nbsp;Also read: <a href="https://www.wionews.com/photos/agi-vs-artificial-intelligence-what-s-the-real-difference-1775397711605">AGI vs Artificial Intelligence: What's the real difference</a>&nbsp;<h2>Why is Artificial General Intelligence dangerous?</h2>A recent DeepMind research paper warned that AGI could "permanently destroy humanity", listing existential risks as clear examples of harm if the technology develops without safeguards. Near-term risks include economic disruption. Anthropic, the firm behind the Claude AI model, has predicted that unemployment could hit 10 to 20 per cent as up to half of entry-level jobs will get automated. A technology this powerful arriving before alignment, regulation, and social safety nets could cause irreversible harm before anyone can course-correct.

Google DeepMind CEO Demis Hassabis thinks Artificial General Intelligence could arrive by 2030, transforming humanity with major benefits. But he also warned of risks such as economic disruption, unemployment and existential threats.

Recently, Google DeepMind CEO Demis Hassabis said that Artificial General Intelligence (AGI) — the point at which AI can perform at or beyond human levels — is no longer a distant goal, but could happen as early as 2030, plus or minus a year. The winner of Nobel Prize for chemistry called this the beginning of a "new human era," and added that humanity has only a few years left to prepare. His warning was that society risks squandering that window on hype and backlash rather than genuine readiness. What does Demis Hassabis mean? Is it going to create the ‘robots taking over humans’ era? What kind of AGI is dangerous? Also read: Nvidia's next AI push: 5 biggest announcements from CEO Jensen Huang's GTC Taipei 2026 keynote AGI will be a civilizational inflection point for humanity Hassabis appears to envision a "golden era" of radical abundance — AGI solving what he calls "root-node problems" like diseases, and finding new energy sources. But he also is warning that the transition will be so fast and so sweeping that societies, governments, and institutions won't have time to adapt unless they start preparing now. He sees 2026 itself as a turning point, with AI agents and tool-use capabilities already becoming genuinely useful in everyday work. Also read: Google AI solves decades-old maths problems, but DeepMind CEO says AGI is still far away What are AGI capabilities now? Today's frontier AI models can write code, pass exams, conduct research, and reason across complex domains — but they still lack true general reasoning and autonomous learning. Sceptics point to benchmarks like ARC-AGI-3 as evidence that current systems remain far from human-level general reasoning. But some tech founders believe AGI thresholds have already been crossed, while mainstream researchers say we're close but not there yet. Also read: AGI vs Artificial Intelligence: What's the real difference Why is Artificial General Intelligence dangerous? A recent DeepMind research paper warned that AGI could "permanently destroy humanity", listing existential risks as clear examples of harm if the technology develops without safeguards. Near-term risks include economic disruption. Anthropic, the firm behind the Claude AI model, has predicted that unemployment could hit 10 to 20 per cent as up to half of entry-level jobs will get automated. A technology this powerful arriving before alignment, regulation, and social safety nets could cause irreversible harm before anyone can course-correct.

Google DeepMind CEO Demis Hassabis thinks Artificial General Intelligence could arrive by 2030, transforming humanity with major benefits. But he also warned of risks such as economic disruption, unemployment and existential threats.

Google DeepMind CEO says we don't have much time to prepare for the 'new human era'.  What are AGI capabilities he is warning about?

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

Within 48 hours of each other in the first week of June 2026, Nvidia and Google quietly released two open-source AI models that represent fundamentally different visions of what free AI should look like. One is a 550-billion-parameter reasoning beast unveiled on a Taipei stage. The other is a 12-billion-parameter compact model that runs on a regular office laptop. They are not competitors. They are different species and understanding the difference matters.&nbsp;Nvidia unveiled Nemotron 3 Ultra on June 1 at Computex 2026 in Taipei. Google followed with Gemma 4 12B on June 3. The timing felt like a coincidence, but the contrast was too instructive to ignore.&nbsp;Nvidia Nemotron 3 Ultra: The Cloud-Scale Reasoning Machine&nbsp;Nemotron 3 Ultra is a 550-billion-parameter model but that number requires a qualifier. Only 55 billion parameters are active per token. Nvidia built it using a Mixture-of-Experts (MoE) architecture, which means the model activates only the relevant subset of its brain for any given task rather than running the entire network. This design decision is why it can deliver over 300 tokens per second and run 3 to 6 times faster than competing models at similar quality levels.&nbsp;The architecture itself is a hybrid Mamba-Transformer MoE, a combination of state-space models and attention mechanisms that lets the model handle context windows of up to 1 million tokens. For reference, 1 million tokens is roughly the size of a 750-page book that the model can hold in memory and reason over simultaneously. This is not a chatbot. This is infrastructure for complex, long-running AI agents.&nbsp;On the Artificial Analysis Intelligence Index, which measures reasoning ability, programming, general knowledge, and agent performance, Nemotron 3 Ultra scores 48, the highest score ever achieved by an American open-weight model. To put that in perspective, Google's larger Gemma 4 31B scores 39 on the same index. Nvidia's model outperforms it by 12 points while being significantly faster. China's Kimi K2.6 currently sits at 54, but Nemotron closes the gap considerably.&nbsp;Nvidia released the full model weights on Hugging Face for free. The training recipe is also publicly available in the NeMo repository. Enterprises can download and run it in production at no licensing cost. Glean, the enterprise search company, has already integrated Nemotron 3 Ultra into its platform, citing its cost efficiency for complex agentic workflows.&nbsp;Google Gemma 4 12B: The Laptop-Scale Multimodal Pioneer&nbsp;Gemma 4 12B is a completely different kind of animal. At approximately 11.95 billion parameters, it is small enough to run entirely on a standard enterprise laptop using just 16GB of VRAM or unified memory, the kind of memory that comes standard on a modern MacBook Pro with an M-series chip. No cloud subscription. No API calls. No data leaving your machine.&nbsp;What makes Gemma 4 12B technically remarkable is its encoder-free unified architecture. Traditional multimodal AI models bolt on separate processing modules — an image encoder, an audio encoder and stitch their outputs together before feeding them to the language model. Gemma 4 12B eliminates all of that. Raw audio waveforms and visual patches flow directly into the core language model backbone without any secondary processing stage. The result is lower latency, lower memory overhead, and a single model that natively understands text, images, audio, and video.&nbsp;The context window is 256,000 tokens, considerably smaller than Nemotron's 1 million, but entirely appropriate for the kinds of tasks this model is designed for. On mathematical reasoning benchmarks, Gemma 4 12B posted 77.5 percent on AIME 2026 and 79.7 percent on MATH-Vision, numbers that approach Google's own larger 26B MoE model. For a 12B model running locally on consumer hardware, those are genuinely surprising results.&nbsp;Google released Gemma 4 12B under an Apache 2.0 license, one of the most permissive open-source licenses available and made it immediately available on Hugging Face and Kaggle. It integrates with standard deployment frameworks including vLLM, SGLang, MLX, and llama.cpp.&nbsp;Two Models, Two Different Problems They Are Solving&nbsp;The comparison is not really about which model is better. It is about what problem you are trying to solve.&nbsp;Nemotron 3 Ultra is built for developers and enterprises running large-scale agentic AI systems, multi-step workflows, autonomous coding agents, complex document analysis over massive context windows. It requires serious hardware infrastructure to deploy, but once deployed, it delivers near-frontier performance at open-source pricing. This is the model you reach for when you are building AI pipelines that need to reason over thousands of pages of documentation, write and execute code autonomously, or manage complex multi-agent orchestration.&nbsp;Gemma 4 12B is built for a completely different scenario: the edge, the device, the individual. A journalist who wants to run a private transcription and analysis model without sending recordings to a third-party server. A doctor who needs a diagnostic reasoning tool that processes patient data entirely on-premises. A developer in a bandwidth-constrained environment building a multimodal application that needs to work offline. For these use cases, Gemma 4 12B is not a compromise, it is the right choice.&nbsp;Why This Week Matters for Open Source AI&nbsp;The release of both models in the same week is not just news. It marks a maturation point in the open-source AI ecosystem. Until recently, the dominant narrative was that open-source models lagged behind closed frontier models by a generation. That gap has narrowed dramatically.&nbsp;What Nvidia and Google have collectively demonstrated is that open-weight AI can now cover both ends of the performance spectrum, from a 12B model running on consumer hardware to a 550B model matching or exceeding proprietary frontier performance on reasoning benchmarks, without a licensing fee, without an API key, and without dependency on any cloud provider.&nbsp;That is a structural shift. Developers who previously had to choose between capability and cost now have credible open alternatives at both ends. The next wave of AI applications will increasingly be built not on top of closed APIs but on models like these, deployed locally, customised freely, and owned entirely by the teams building them.&nbsp;Two models, released within 48 hours, pointing in opposite directions. Both of them, in their own way, signal where AI is heading next.

Nvidia's Nemotron 3 Ultra and Google's Gemma 4 12B were released within days of each other in June 2026. Here is what makes them fundamentally different and why both matter for the future of open source AI.

Within 48 hours of each other in the first week of June 2026, Nvidia and Google quietly released two open-source AI models that represent fundamentally different visions of what free AI should look like. One is a 550-billion-parameter reasoning beast unveiled on a Taipei stage. The other is a 12-billion-parameter compact model that runs on a regular office laptop. They are not competitors. They are different species and understanding the difference matters. Nvidia unveiled Nemotron 3 Ultra on June 1 at Computex 2026 in Taipei. Google followed with Gemma 4 12B on June 3. The timing felt like a coincidence, but the contrast was too instructive to ignore. Nvidia Nemotron 3 Ultra: The Cloud-Scale Reasoning Machine Nemotron 3 Ultra is a 550-billion-parameter model but that number requires a qualifier. Only 55 billion parameters are active per token. Nvidia built it using a Mixture-of-Experts (MoE) architecture, which means the model activates only the relevant subset of its brain for any given task rather than running the entire network. This design decision is why it can deliver over 300 tokens per second and run 3 to 6 times faster than competing models at similar quality levels. The architecture itself is a hybrid Mamba-Transformer MoE, a combination of state-space models and attention mechanisms that lets the model handle context windows of up to 1 million tokens. For reference, 1 million tokens is roughly the size of a 750-page book that the model can hold in memory and reason over simultaneously. This is not a chatbot. This is infrastructure for complex, long-running AI agents. On the Artificial Analysis Intelligence Index, which measures reasoning ability, programming, general knowledge, and agent performance, Nemotron 3 Ultra scores 48, the highest score ever achieved by an American open-weight model. To put that in perspective, Google's larger Gemma 4 31B scores 39 on the same index. Nvidia's model outperforms it by 12 points while being significantly faster. China's Kimi K2.6 currently sits at 54, but Nemotron closes the gap considerably. Nvidia released the full model weights on Hugging Face for free. The training recipe is also publicly available in the NeMo repository. Enterprises can download and run it in production at no licensing cost. Glean, the enterprise search company, has already integrated Nemotron 3 Ultra into its platform, citing its cost efficiency for complex agentic workflows. Google Gemma 4 12B: The Laptop-Scale Multimodal Pioneer Gemma 4 12B is a completely different kind of animal. At approximately 11.95 billion parameters, it is small enough to run entirely on a standard enterprise laptop using just 16GB of VRAM or unified memory, the kind of memory that comes standard on a modern MacBook Pro with an M-series chip. No cloud subscription. No API calls. No data leaving your machine. What makes Gemma 4 12B technically remarkable is its encoder-free unified architecture. Traditional multimodal AI models bolt on separate processing modules — an image encoder, an audio encoder and stitch their outputs together before feeding them to the language model. Gemma 4 12B eliminates all of that. Raw audio waveforms and visual patches flow directly into the core language model backbone without any secondary processing stage. The result is lower latency, lower memory overhead, and a single model that natively understands text, images, audio, and video. The context window is 256,000 tokens, considerably smaller than Nemotron's 1 million, but entirely appropriate for the kinds of tasks this model is designed for. On mathematical reasoning benchmarks, Gemma 4 12B posted 77.5 percent on AIME 2026 and 79.7 percent on MATH-Vision, numbers that approach Google's own larger 26B MoE model. For a 12B model running locally on consumer hardware, those are genuinely surprising results. Google released Gemma 4 12B under an Apache 2.0 license, one of the most permissive open-source licenses available and made it immediately available on Hugging Face and Kaggle. It integrates with standard deployment frameworks including vLLM, SGLang, MLX, and llama.cpp. Two Models, Two Different Problems They Are Solving The comparison is not really about which model is better. It is about what problem you are trying to solve. Nemotron 3 Ultra is built for developers and enterprises running large-scale agentic AI systems, multi-step workflows, autonomous coding agents, complex document analysis over massive context windows. It requires serious hardware infrastructure to deploy, but once deployed, it delivers near-frontier performance at open-source pricing. This is the model you reach for when you are building AI pipelines that need to reason over thousands of pages of documentation, write and execute code autonomously, or manage complex multi-agent orchestration. Gemma 4 12B is built for a completely different scenario: the edge, the device, the individual. A journalist who wants to run a private transcription and analysis model without sending recordings to a third-party server. A doctor who needs a diagnostic reasoning tool that processes patient data entirely on-premises. A developer in a bandwidth-constrained environment building a multimodal application that needs to work offline. For these use cases, Gemma 4 12B is not a compromise, it is the right choice. Why This Week Matters for Open Source AI The release of both models in the same week is not just news. It marks a maturation point in the open-source AI ecosystem. Until recently, the dominant narrative was that open-source models lagged behind closed frontier models by a generation. That gap has narrowed dramatically. What Nvidia and Google have collectively demonstrated is that open-weight AI can now cover both ends of the performance spectrum, from a 12B model running on consumer hardware to a 550B model matching or exceeding proprietary frontier performance on reasoning benchmarks, without a licensing fee, without an API key, and without dependency on any cloud provider. That is a structural shift. Developers who previously had to choose between capability and cost now have credible open alternatives at both ends. The next wave of AI applications will increasingly be built not on top of closed APIs but on models like these, deployed locally, customised freely, and owned entirely by the teams building them. Two models, released within 48 hours, pointing in opposite directions. Both of them, in their own way, signal where AI is heading next.

Both Nvidia and Google dropped powerful open-source AI models within days of each other in June 2026 — but they solve completely different problems. Here is what makes them two distinct species of AI.

Nvidia's Nemotron 3 Ultra vs Google's Gemma 4 12B: Understanding the difference between two new species of AI

Anthropic, the AI company behind Claude, has warned that AI could start building itself and create its successor and that “full recursive self-improvement might increase the risks of humans losing control over AI systems.” A full recursive self-improvement refers to a stage where AI is able to improve itself without any human intervention and create a more powerful successor.&nbsp;&nbsp;The San Francisco-based firm also recommends a global pause on building the most powerful AI systems as the latest models are beginning to show signs they could evade human control.&nbsp;The company said that as it increasingly delegates AI developments to AI systems, there are signals that it leads to a future where “an AI system (is) capable of fully autonomously designing and developing its own successor.”&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><h2>‘Average engineer producing eight times more code per day than in 2024’</h2>&nbsp;Anthropic shared that Claude now writes most of the code used to build the company’s AI systems. As a result, engineers are able to get much more work done, with the average engineer producing around eight times more code each day than in 2024. Claude is not just getting better at coding, but it is also improving at research tasks.&nbsp;&nbsp;Anthropic, an outlier among AI companies, said trends suggest AI systems are going to become much more capable ahead. “These trends have huge implications. AI that can build itself would be a major development in the history of technology—one that could bring enormous good for the world in science, healthcare, and beyond,” it said.&nbsp;<h2>‘All AI companies need to come together to decide on pause’&nbsp;</h2>&nbsp;It argued that all AI companies need to come together to decide to “pause” frontier AI development but warned that if only one company stopped, rivals would simply race ahead. Getting a real pause to work would mean all major AI companies in multiple countries agreeing to stop at the same time, under rules everyone could actually verify, Anthropic added.“Without a global coordination mechanism, companies and governments will have to make difficult decisions about safety while under competitive and geopolitical pressures,” it said.&nbsp;Also Read: <a href="https://www.wionews.com/world/futile-to-try-pressuring-pm-modi-putin-says-india-us-relations-do-not-affect-ties-with-russia-1780597993055">‘Futile to try pressuring PM Modi’: Putin says India-US relations do not affect ties with Russia</a>&nbsp;“We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology,” it said.&nbsp;&nbsp;Anthropic compared the problem to nuclear arms control treaties but said it would be even harder to monitor since AI training is far easier to hide than a missile silo, and the temptation to quietly keep going would be enormous.&nbsp;<h2>Multiple challenges ahead for ‘pause’ proposal</h2>&nbsp;The AI giant’s research arm, Anthropic Institute, plans to study and help build systems that would be necessary to support a slowdown. It also plans to organise discussions involving policymakers, researchers, civil society groups and other AI firms to examine key questions around how to tackle the issue at hand. These questions include how to manage AI-related risks such as recursive self-improvement and how to improve mechanisms for coordination.&nbsp;Also Read: <a href="https://www.wionews.com/world/former-trump-nsa-john-bolton-to-plead-guilty-over-retaining-classified-documents-report-1780592120953">Former Trump NSA John Bolton to plead guilty over retaining classified documents: Report</a>&nbsp;The proposal would face an uphill battle in Washington and Silicon Valley, where US officials and tech executives have repeatedly argued that any slowdown in AI development risks handing China a decisive strategic edge in what many see as the defining technology race of the century.President Donald Trump also signed an executive order this week that allows the government 30 days to conduct a preliminary review of the most powerful US AI models before their release.&nbsp;The company stressed that such a stage has not yet arrived but argued that governments, regulators and society need to start preparing for it now.&nbsp;

Anthropic revealed that Claude now writes most of the code used to build the company’s AI systems, and as a result, engineers are able to get much more work done, with the average engineer producing around eight times more code each day than in 2024.

Anthropic, the AI company behind Claude, has warned that AI could start building itself and create its successor and that “full recursive self-improvement might increase the risks of humans losing control over AI systems.” A full recursive self-improvement refers to a stage where AI is able to improve itself without any human intervention and create a more powerful successor. The San Francisco-based firm also recommends a global pause on building the most powerful AI systems as the latest models are beginning to show signs they could evade human control. The company said that as it increasingly delegates AI developments to AI systems, there are signals that it leads to a future where “an AI system (is) capable of fully autonomously designing and developing its own successor.” Also Read: Delhi hotel owner helped Bangladeshi nationals get fake Indian documents, was arrested, booked last year ‘Average engineer producing eight times more code per day than in 2024’ Anthropic shared that Claude now writes most of the code used to build the company’s AI systems. As a result, engineers are able to get much more work done, with the average engineer producing around eight times more code each day than in 2024. Claude is not just getting better at coding, but it is also improving at research tasks. Anthropic, an outlier among AI companies, said trends suggest AI systems are going to become much more capable ahead. “These trends have huge implications. AI that can build itself would be a major development in the history of technology—one that could bring enormous good for the world in science, healthcare, and beyond,” it said. ‘All AI companies need to come together to decide on pause’ It argued that all AI companies need to come together to decide to “pause” frontier AI development but warned that if only one company stopped, rivals would simply race ahead. Getting a real pause to work would mean all major AI companies in multiple countries agreeing to stop at the same time, under rules everyone could actually verify, Anthropic added. “Without a global coordination mechanism, companies and governments will have to make difficult decisions about safety while under competitive and geopolitical pressures,” it said. Also Read: ‘Futile to try pressuring PM Modi’: Putin says India-US relations do not affect ties with Russia “We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology,” it said. Anthropic compared the problem to nuclear arms control treaties but said it would be even harder to monitor since AI training is far easier to hide than a missile silo, and the temptation to quietly keep going would be enormous. Multiple challenges ahead for ‘pause’ proposal The AI giant’s research arm, Anthropic Institute, plans to study and help build systems that would be necessary to support a slowdown. It also plans to organise discussions involving policymakers, researchers, civil society groups and other AI firms to examine key questions around how to tackle the issue at hand. These questions include how to manage AI-related risks such as recursive self-improvement and how to improve mechanisms for coordination. Also Read: Former Trump NSA John Bolton to plead guilty over retaining classified documents: Report The proposal would face an uphill battle in Washington and Silicon Valley, where US officials and tech executives have repeatedly argued that any slowdown in AI development risks handing China a decisive strategic edge in what many see as the defining technology race of the century. President Donald Trump also signed an executive order this week that allows the government 30 days to conduct a preliminary review of the most powerful US AI models before their release. The company stressed that such a stage has not yet arrived but argued that governments, regulators and society need to start preparing for it now.

Anthropic revealed that Claude now writes most of the code used to build the company’s AI systems, and as a result, engineers are able to get much more work done, with the average engineer producing around eight times more code each day than in 2024.

‘Time for pause’: Humans may lose control on AI as it starts building itself, warns Anthropic

There is a man who won the Nobel Prize in Physics for building the brain of artificial intelligence. And that man will tell you, openly, that he has no idea how it actually thinks.&nbsp;Geoffrey Hinton, widely known as the Godfather of AI, appeared on the Diary of a CEO podcast hosted by Steven Bartlett in June 2025. The episode, titled Godfather of AI: I Tried to Warn Them, But We've Already Lost Control, became one of the most discussed AI conversations of the year. In it, Hinton laid out a truth that most AI companies would prefer to keep quiet: the internal reasoning of artificial intelligence is a black box, and the scientists who built it are looking at it from the outside just like everyone else.&nbsp;According to Hinton in that podcast, his contribution to AI was essentially the learning algorithm, specifically, the backpropagation algorithm, which he co-developed with David Rumelhart and Ronald Williams and published in a landmark 1986 paper. Backpropagation is the mechanism that allows neural networks to learn from errors, adjusting millions of internal connection weights until the system gets better at a task. It is, in Hinton's own framing, the algorithm that taught machines how to improve. But it did not give humans a window into what those machines actually do once they start improving.&nbsp;According to the Nobel Prize committee, which awarded Hinton and John Hopfield the 2024 Nobel Prize in Physics, their discoveries enabled machine learning through artificial neural networks, a technology that now underpins everything from medical diagnosis to large language models like GPT-4. The Nobel citation itself acknowledges that these systems learn by adjusting connection strengths in ways that are not explicitly programmed, which is precisely why nobody can trace the internal logic of what the model has learned.&nbsp;This is the black box problem. Neural networks are modelled loosely on the human brain. According to research from Wikipedia and foundational AI literature, the human brain contains roughly 86 billion neurons connected through trillions of synapses. When a person learns something, the strength of specific synaptic connections changes, this is called synaptic plasticity. AI systems replicate this process mathematically. But the brain has a physical structure scientists can study. An AI model has weights, billions of numerical values, and no one has yet built a reliable method to translate those numbers into human-understandable reasoning.&nbsp;According to Hinton's statements across multiple interviews and the Diary of a CEO podcast, the concern is not just academic. These systems are now making decisions in healthcare, law, and finance. They are reasoning in ways that produce correct answers without leaving a trail of logic that humans can audit. Hinton has said plainly that we have no idea what it is going to look like and anyone who tells you they know is talking nonsense.&nbsp;The irony is historically significant. Hinton spent four decades building the learning algorithm that gave AI the ability to train itself on data. He helped design the architecture of thought for a new class of entity. And by doing so, he created something that now processes information in ways that exceed his ability to explain.&nbsp;This is not a failure of science. It is a feature of emergence. When you give a system the tools to teach itself from billions of data points, the patterns it builds are too complex and too numerous for any human to reverse-engineer. The model does not store facts. It stores relationships, compressed into layers of abstraction that produce outputs no human programmed explicitly.&nbsp;According to Hinton's warning on the podcast, this is precisely why AI safety is not a software problem with a known solution. You cannot patch what you cannot read. And right now, nobody on Earth can read the mind of the machine they built.

Nobel Prize winner Geoffrey Hinton confessed on the Diary of a CEO podcast that he only gave AI the learning algorithm — what happens inside the machine after that, nobody, not even its creator, truly understands.

There is a man who won the Nobel Prize in Physics for building the brain of artificial intelligence. And that man will tell you, openly, that he has no idea how it actually thinks. Geoffrey Hinton, widely known as the Godfather of AI, appeared on the Diary of a CEO podcast hosted by Steven Bartlett in June 2025. The episode, titled Godfather of AI: I Tried to Warn Them, But We've Already Lost Control, became one of the most discussed AI conversations of the year. In it, Hinton laid out a truth that most AI companies would prefer to keep quiet: the internal reasoning of artificial intelligence is a black box, and the scientists who built it are looking at it from the outside just like everyone else. According to Hinton in that podcast, his contribution to AI was essentially the learning algorithm, specifically, the backpropagation algorithm, which he co-developed with David Rumelhart and Ronald Williams and published in a landmark 1986 paper. Backpropagation is the mechanism that allows neural networks to learn from errors, adjusting millions of internal connection weights until the system gets better at a task. It is, in Hinton's own framing, the algorithm that taught machines how to improve. But it did not give humans a window into what those machines actually do once they start improving. According to the Nobel Prize committee, which awarded Hinton and John Hopfield the 2024 Nobel Prize in Physics, their discoveries enabled machine learning through artificial neural networks, a technology that now underpins everything from medical diagnosis to large language models like GPT-4. The Nobel citation itself acknowledges that these systems learn by adjusting connection strengths in ways that are not explicitly programmed, which is precisely why nobody can trace the internal logic of what the model has learned. This is the black box problem. Neural networks are modelled loosely on the human brain. According to research from Wikipedia and foundational AI literature, the human brain contains roughly 86 billion neurons connected through trillions of synapses. When a person learns something, the strength of specific synaptic connections changes, this is called synaptic plasticity. AI systems replicate this process mathematically. But the brain has a physical structure scientists can study. An AI model has weights, billions of numerical values, and no one has yet built a reliable method to translate those numbers into human-understandable reasoning. According to Hinton's statements across multiple interviews and the Diary of a CEO podcast, the concern is not just academic. These systems are now making decisions in healthcare, law, and finance. They are reasoning in ways that produce correct answers without leaving a trail of logic that humans can audit. Hinton has said plainly that we have no idea what it is going to look like and anyone who tells you they know is talking nonsense. The irony is historically significant. Hinton spent four decades building the learning algorithm that gave AI the ability to train itself on data. He helped design the architecture of thought for a new class of entity. And by doing so, he created something that now processes information in ways that exceed his ability to explain. This is not a failure of science. It is a feature of emergence. When you give a system the tools to teach itself from billions of data points, the patterns it builds are too complex and too numerous for any human to reverse-engineer. The model does not store facts. It stores relationships, compressed into layers of abstraction that produce outputs no human programmed explicitly. According to Hinton's warning on the podcast, this is precisely why AI safety is not a software problem with a known solution. You cannot patch what you cannot read. And right now, nobody on Earth can read the mind of the machine they built.

Geoffrey Hinton, scientist credited with building the foundations of modern AI, made a startling confession on the Diary of a CEO podcast, he only provided the learning algorithm. What happens inside the mind of an AI after that, nobody, including its own creator, truly understands.

'I only gave learning algorithm': Godfather of AI admits nobody on Earth knows how AI actually thinks

Apple is set to host its annual Worldwide Developers Conference (WWDC) 2026, and artificial intelligence is expected to be the main focus this year. The event begins on Monday and will showcase the next generation of software updates across iPhone, iPad, Mac, Apple Watch, Vision Pro and other Apple devices.While Apple has remained relatively cautious compared to rivals such as OpenAI, Google and Microsoft, industry reports suggest the company is preparing several major Apple Intelligence upgrades. At the centre of these expected announcements is Siri, which could receive its biggest update since the voice assistant was first introduced in 2011.<h2>Siri could receive its biggest AI upgrade yet</h2>The most closely watched announcement is expected to be a redesigned Siri powered by more advanced artificial intelligence capabilities. According to reports, Apple is working on making Siri more conversational and better at understanding context. The upgraded assistant could handle more complex requests, remember previous conversations and complete multi-step tasks without requiring users to repeat instructions.Several reports, including those from Bloomberg, have suggested Apple is developing a standalone AI experience that could allow Siri to compete more directly with AI chatbots such as ChatGPT, Claude and Gemini.If announced, it would mark one of Apple's most significant AI moves to date. Apple Intelligence expected to expand across apps Apple is also expected to expand Apple Intelligence features throughout its ecosystem.Reports suggest the Photos app may gain AI-powered editing tools that allow users to make changes using natural language commands. Instead of manually editing an image, users could simply describe the changes they want and let AI perform the task automatically.Other expected features include: Intelligent scene recommendations Automatic object removal Improved image enhancement tools Smarter photo organisationApple is also expected to improve AI functionality inside visionOS, the software powering the company's mixed-reality devices.AI agents could arrive on the App Store One of the more interesting reports ahead of WWDC 2026 involves AI agents.According to reports from The Information, Apple may introduce AI agent integration through the App Store. These agents could help users perform tasks such as booking reservations, managing schedules, controlling smart home devices and handling routine digital tasks.The concept has become increasingly popular across the technology industry, with companies including OpenAI, Google, Microsoft and Anthropic investing heavily in AI agents that can take actions on behalf of users. If Apple enters this market, it could significantly expand the role of artificial intelligence across its ecosystem.<h2>Camera and Visual Intelligence upgrades expected</h2>Apple may also introduce a new Visual Intelligence experience within the Camera app. Reports suggest the feature could move beyond simple image recognition and become a dedicated AI-powered mode inside the camera interface. Users may be able to identify objects, gather information about surroundings and interact with AI directly through their camera viewfinder. The feature would further strengthen Apple's push towards integrating AI into everyday experiences rather than keeping it limited to chat-based interactions.Image Playground and Genmoji may receive improvementsApple is also expected to update Image Playground, one of its AI image-generation tools.&nbsp; The new version could offer:Higher-quality image generation Improved editing controls Better character consistency Additional artistic stylesReports also suggest Apple may introduce smarter Genmoji recommendations based on user activity, conversations and media libraries. AI-generated wallpapers tailored to individual preferences and moods may also be announced.<h2>Wallet app could become more useful</h2>The Wallet app may receive several practical upgrades. One reported feature would allow users to photograph a receipt and automatically split bills among friends and family members. Another expected addition is a "Create a Pass" option that would convert physical tickets, memberships and passes into digital versions stored inside Apple Wallet.These updates would continue Apple's strategy of turning the Wallet app into a central hub for payments, identification and digital credentials. macOS, iPadOS and visionOS updates also expected Beyond AI, Apple is expected to unveil updates across its major operating systems.New versions of macOS, iPadOS, watchOS, tvOS and visionOS are likely to bring performance improvements, security enhancements and deeper Apple Intelligence integration. Industry analysts expect Apple to focus heavily on creating a more unified AI experience across all devices.This year's conference could be one of Apple's most important software events in recent years. While competitors have moved aggressively into generative AI, Apple has taken a more measured approach. WWDC 2026 may provide the clearest picture yet of how the company plans to compete in an AI-driven technology landscape. For millions of iPhone, iPad and Mac users, the biggest question remains whether Apple can transform Siri into an assistant that feels genuinely intelligent while maintaining the privacy and user experience standards that have long defined the company. The answers are expected to arrive when WWDC 2026 begins, with Apple likely to place artificial intelligence at the centre of its software strategy for the years ahead

Apple is expected to focus heavily on AI at WWDC 2026, with major upgrades to Siri that could make it more conversational, context-aware, and capable of handling complex tasks. 

Apple is set to host its annual Worldwide Developers Conference (WWDC) 2026, and artificial intelligence is expected to be the main focus this year. The event begins on Monday and will showcase the next generation of software updates across iPhone, iPad, Mac, Apple Watch, Vision Pro and other Apple devices. While Apple has remained relatively cautious compared to rivals such as OpenAI, Google and Microsoft, industry reports suggest the company is preparing several major Apple Intelligence upgrades. At the centre of these expected announcements is Siri, which could receive its biggest update since the voice assistant was first introduced in 2011. Siri could receive its biggest AI upgrade yet The most closely watched announcement is expected to be a redesigned Siri powered by more advanced artificial intelligence capabilities. According to reports, Apple is working on making Siri more conversational and better at understanding context. The upgraded assistant could handle more complex requests, remember previous conversations and complete multi-step tasks without requiring users to repeat instructions. Several reports, including those from Bloomberg, have suggested Apple is developing a standalone AI experience that could allow Siri to compete more directly with AI chatbots such as ChatGPT, Claude and Gemini. If announced, it would mark one of Apple's most significant AI moves to date. Apple Intelligence expected to expand across apps Apple is also expected to expand Apple Intelligence features throughout its ecosystem. Reports suggest the Photos app may gain AI-powered editing tools that allow users to make changes using natural language commands. Instead of manually editing an image, users could simply describe the changes they want and let AI perform the task automatically. Other expected features include: Intelligent scene recommendations Automatic object removal Improved image enhancement tools Smarter photo organisation Apple is also expected to improve AI functionality inside visionOS, the software powering the company's mixed-reality devices. AI agents could arrive on the App Store One of the more interesting reports ahead of WWDC 2026 involves AI agents. According to reports from The Information, Apple may introduce AI agent integration through the App Store. These agents could help users perform tasks such as booking reservations, managing schedules, controlling smart home devices and handling routine digital tasks. The concept has become increasingly popular across the technology industry, with companies including OpenAI, Google, Microsoft and Anthropic investing heavily in AI agents that can take actions on behalf of users. If Apple enters this market, it could significantly expand the role of artificial intelligence across its ecosystem. Camera and Visual Intelligence upgrades expected Apple may also introduce a new Visual Intelligence experience within the Camera app. Reports suggest the feature could move beyond simple image recognition and become a dedicated AI-powered mode inside the camera interface. Users may be able to identify objects, gather information about surroundings and interact with AI directly through their camera viewfinder. The feature would further strengthen Apple's push towards integrating AI into everyday experiences rather than keeping it limited to chat-based interactions. Image Playground and Genmoji may receive improvements Apple is also expected to update Image Playground, one of its AI image-generation tools. The new version could offer: Higher-quality image generation Improved editing controls Better character consistency Additional artistic styles Reports also suggest Apple may introduce smarter Genmoji recommendations based on user activity, conversations and media libraries. AI-generated wallpapers tailored to individual preferences and moods may also be announced. Wallet app could become more useful The Wallet app may receive several practical upgrades. One reported feature would allow users to photograph a receipt and automatically split bills among friends and family members. Another expected addition is a "Create a Pass" option that would convert physical tickets, memberships and passes into digital versions stored inside Apple Wallet. These updates would continue Apple's strategy of turning the Wallet app into a central hub for payments, identification and digital credentials. macOS, iPadOS and visionOS updates also expected Beyond AI, Apple is expected to unveil updates across its major operating systems. New versions of macOS, iPadOS, watchOS, tvOS and visionOS are likely to bring performance improvements, security enhancements and deeper Apple Intelligence integration. Industry analysts expect Apple to focus heavily on creating a more unified AI experience across all devices. This year's conference could be one of Apple's most important software events in recent years. While competitors have moved aggressively into generative AI, Apple has taken a more measured approach. WWDC 2026 may provide the clearest picture yet of how the company plans to compete in an AI-driven technology landscape. For millions of iPhone, iPad and Mac users, the biggest question remains whether Apple can transform Siri into an assistant that feels genuinely intelligent while maintaining the privacy and user experience standards that have long defined the company. The answers are expected to arrive when WWDC 2026 begins, with Apple likely to place artificial intelligence at the centre of its software strategy for the years ahead

Apple is expected to focus heavily on AI at WWDC 2026, with major upgrades to Siri that could make it more conversational, context-aware, and capable of handling complex tasks.&nbsp;

From Siri to AI-powered Photos: Key announcements expected at Apple's WWDC 2026

Clean energy is being touted as the next best thing to reverse climate change. Solar power is one of the main sources of energy production today, and governments worldwide are working to expand it. However, even this source comes at an environmental cost. Solar panels require large plots of land, almost what agricultural land would also need - which is flat, gets enough sunlight and is close to infrastructure. This has created a tussle between the two, creating a paradox of sorts where one is being sacrificed for the other. If solar panels are given preference, we risk giving up food security and hitting rural economies. If the right land is not given to solar energy, then a major source of renewable energy fails to work.&nbsp;A solution to this problem has now emerged in the form of agrivoltaics - dual-use solar or agrisolar. In this system, solar panels and agriculture form a symbiotic relationship that is beneficial for both of them. The highlights are the four-legged creatures that graze underneath the elevated solar panels. The humble sheep is the star of the show that makes agrivoltaics work as they nibble on the grass below.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 - Are humans sacrificing the climate for data centres?</a><h2>Solar panels and weed</h2> Solar farms suffer from a major logistical headache - weeds. If they grow too high, they cast shadows on the panels, which can drastically reduce electrical output. Removing extra grass and vegetation from the ground below is crucial to ensuring that the solar panels work to their full potential. Companies have the option to use traditional lawnmowers and heavy machinery to remove the weeds. However, that will kick up rocks, which can damage the multi-million-dollar glass arrays. Using chemical weedkillers creates another problem, as they can contaminate the local water table.Also Read: <a href="https://www.wionews.com/science/ai-could-chug-water-enough-to-sustain-all-8-1-billion-people-on-earth-for-over-a-year-un-report-warns-1780583211386">World Environment Day: AI could chug water enough to sustain all 8.1 billion people on Earth for over a year, UN report warns</a>&nbsp;So solar power companies are partnering with shepherds. Yes, their sheep are the solution to their problem. They can be small, which means they can easily walk through the vegetation and standard racking systems. They are not afraid of the high-voltage infrastructure above them. The sheep eat the grass and weeds and keep them at the optimal length, avoiding adverse effects on the panels. It is a win-win situation for the shepherds who can have their sheep fill their tummies while earning passive income.&nbsp;The dual-use solar also has a third beneficiary - crop cultivation. Global heatwaves can become a bane for agriculture. Agricultural scientists say that crops need sunlight, but too much of it can harm them. Partial shade is actually the need of the hour, which these solar panels provide. They cut off excess heat and help plants survive in the age of global warming. Regional trials have shown that plants like tomatoes, peppers, leafy greens, and berries don’t just survive under solar arrays, but actually produce higher&nbsp;yields than those grown in direct sunlight.&nbsp;<h2>Benefits of agrivoltaics</h2> Water conservation The solar panels offer physical shade to the ground below, reducing soil water evaporation by up to 30-40 per cent. This can drastically cut down irrigation needs in drought-prone regions.Increased Solar Efficiency Solar panels need sunlight to work, but they can get damaged if they get too hot. Plans have moisture naturally, which can cool down the panels, boosting electricity generation.Crop protection Vegetation is also at risk of damage from extreme rain, frost, hail, and other weather events. With solar panels above them offering protection, this threat is drastically reduced. &nbsp;

World Environment Day: Solar panels are affected by vegetation and weeds growing underneath, affecting efficiency when covered by them. A unique solution is offered in the form of sheep. The animals can keep the grass short, and in turn, the shepherds make money by offering their livestock.

Clean energy is being touted as the next best thing to reverse climate change. Solar power is one of the main sources of energy production today, and governments worldwide are working to expand it. However, even this source comes at an environmental cost. Solar panels require large plots of land, almost what agricultural land would also need - which is flat, gets enough sunlight and is close to infrastructure. This has created a tussle between the two, creating a paradox of sorts where one is being sacrificed for the other. If solar panels are given preference, we risk giving up food security and hitting rural economies. If the right land is not given to solar energy, then a major source of renewable energy fails to work. A solution to this problem has now emerged in the form of agrivoltaics - dual-use solar or agrisolar. In this system, solar panels and agriculture form a symbiotic relationship that is beneficial for both of them. The highlights are the four-legged creatures that graze underneath the elevated solar panels. The humble sheep is the star of the show that makes agrivoltaics work as they nibble on the grass below. Also Read: World Environment Day in the age of AI - Are humans sacrificing the climate for data centres? Solar panels and weed Solar farms suffer from a major logistical headache - weeds. If they grow too high, they cast shadows on the panels, which can drastically reduce electrical output. Removing extra grass and vegetation from the ground below is crucial to ensuring that the solar panels work to their full potential. Companies have the option to use traditional lawnmowers and heavy machinery to remove the weeds. However, that will kick up rocks, which can damage the multi-million-dollar glass arrays. Using chemical weedkillers creates another problem, as they can contaminate the local water table. Also Read: World Environment Day: AI could chug water enough to sustain all 8.1 billion people on Earth for over a year, UN report warns So solar power companies are partnering with shepherds. Yes, their sheep are the solution to their problem. They can be small, which means they can easily walk through the vegetation and standard racking systems. They are not afraid of the high-voltage infrastructure above them. The sheep eat the grass and weeds and keep them at the optimal length, avoiding adverse effects on the panels. It is a win-win situation for the shepherds who can have their sheep fill their tummies while earning passive income. The dual-use solar also has a third beneficiary - crop cultivation. Global heatwaves can become a bane for agriculture. Agricultural scientists say that crops need sunlight, but too much of it can harm them. Partial shade is actually the need of the hour, which these solar panels provide. They cut off excess heat and help plants survive in the age of global warming. Regional trials have shown that plants like tomatoes, peppers, leafy greens, and berries don’t just survive under solar arrays, but actually produce higher yields than those grown in direct sunlight. Benefits of agrivoltaics Water conservation The solar panels offer physical shade to the ground below, reducing soil water evaporation by up to 30-40 per cent. This can drastically cut down irrigation needs in drought-prone regions. Increased Solar Efficiency Solar panels need sunlight to work, but they can get damaged if they get too hot. Plans have moisture naturally, which can cool down the panels, boosting electricity generation. Crop protection Vegetation is also at risk of damage from extreme rain, frost, hail, and other weather events. With solar panels above them offering protection, this threat is drastically reduced.

World Environment Day: Solar panels are affected by vegetation and weeds growing underneath, affecting efficiency when covered by them. A unique solution is offered in the form of sheep. The animals can keep the grass short, and in turn, the shepherds make money by offering their livestock.

World Environment Day: Sheep are 'making hay while the sun shines', fixing a major solar panel problem

Meta has introduced a new AI-powered creator assistant on Facebook, giving content creators personalised recommendations based on their content performance, audience behaviour and posting habits.The feature is being rolled out to creators in the United States, Canada and India. According to Meta, the assistant is designed to help creators understand their performance, discover content opportunities and make better decisions without having to manually analyse complex dashboards and analytics reports. The launch comes as social media platforms increasingly compete for creators, who play a major role in driving user engagement and advertising revenue.&nbsp;

Meta launches AI creator assistant on Facebook to help creators grow their audience

<h2>What is Facebook's new AI creator assistant?</h2>The AI creator assistant acts as a virtual advisor inside Facebook. Instead of spending time navigating charts and performance reports, creators can simply ask questions in a conversational format.For example, creators can ask:When should I post? What content is performing best? What are people saying in my comments? How has my audience changed over time? Why did a recent post perform better or worse?The assistant then provides personalised answers based on the creator's own account data and audience activity.According to Meta, users can also ask follow-up questions to gain deeper insights and better understand trends affecting their content.<h2>AI will suggest content ideas and trends</h2>Beyond analytics, the assistant is also designed to help creators develop new content ideas. Meta says the AI tool can identify emerging trends and recommend topics that may resonate with audiences. It can suggest popular audio tracks, cultural events, trending discussions and content formats that are gaining traction across the platform. For creators struggling to maintain a regular posting schedule, the assistant could function as a brainstorming partner that helps generate fresh ideas based on current trends. The feature reflects a broader shift across the creator economy, where artificial intelligence is increasingly being used to support content planning, audience analysis and creative workflows.<h2>Why Meta is investing heavily in creator tools</h2>The new AI assistant arrives at a time when competition for creators is intensifying. Platforms such as TikTok, YouTube and Instagram are all investing heavily in creator-focused features. By offering built-in AI assistance, Meta hopes to keep creators active within Facebook's ecosystem rather than relying on external tools. Many creators currently use third-party AI services such as ChatGPT and other analytics platforms to generate ideas and understand audience performance. Meta's strategy is to bring those capabilities directly into Facebook, making it easier for creators to access insights without leaving the platform.The move could also encourage more frequent posting, which may help increase engagement across Facebook.<h2>Meta expands AI video translation capabilities</h2>Alongside the creator assistant, Meta also announced an expansion of its AI-powered video translation tools. The company is adding support for several new languages, including:Arabic Bahasa Indonesia French Thai VietnameseThe technology automatically translates Reels while preserving the creator's voice and speaking style. Meta says creators can also use an AI-powered lip-sync feature that adjusts translated speech to match facial movements, making videos appear more natural for viewers in different countries. The company first introduced AI-translated videos last year as part of its effort to help creators reach global audiences.<h2>More than 500 million users watch AI-translated videos every week</h2>Meta revealed that AI-powered translation features are already seeing significant adoption. According to the company, more than 500 million Facebook users now watch AI-translated videos every week. The figure highlights the growing role of artificial intelligence in content discovery and global audience growth. For creators, language translation has traditionally been a major barrier when trying to reach international viewers. AI-generated translations are increasingly helping remove that obstacle.Meta believes multilingual content will become a major part of the future creator economy as social platforms continue to connect audiences across different regions.<h2>What does this mean for creators?</h2>The new AI assistant signals Meta's broader vision for AI-powered content creation. Instead of acting only as a recommendation engine, the company wants AI to become an everyday tool that helps creators analyse performance, understand audiences, generate ideas and expand globally. Industry analysts believe AI assistants could become increasingly common across creator platforms as companies compete to offer better tools for audience growth and monetisation. For creators, the biggest benefit may be simplicity. Tasks that previously required multiple analytics tools, research platforms and AI applications can now be handled inside Facebook itself.<h2>The bigger AI battle among social media platforms</h2>Meta's announcement is part of a larger trend across the technology industry. Companies including Google, TikTok, YouTube and Snap are all investing in artificial intelligence to improve creator experiences and increase user engagement. However, Meta's approach goes beyond content recommendations. The company is building AI tools that actively guide creators on what to post, when to post and how to grow their audience.As AI becomes more integrated into social media platforms, creators may increasingly rely on these assistants to make decisions that were previously based on manual analysis and personal judgement. For now, Meta's latest rollout shows that the competition for creators is no longer just about audience reach. It is increasingly becoming a race to provide the most useful AI-powered tools.

Meta has launched an AI Creator Assistant on Facebook that gives creators personalised insights, content ideas and posting tips based on audience behaviour and performance.


Meta has introduced a new AI-powered creator assistant on Facebook, giving content creators personalised recommendations based on their content performance, audience behaviour and posting habits. The feature is being rolled out to creators in the United States, Canada and India. According to Meta, the assistant is designed to help creators understand their performance, discover content opportunities and make better decisions without having to manually analyse complex dashboards and analytics reports. The launch comes as social media platforms increasingly compete for creators, who play a major role in driving user engagement and advertising revenue.

Meta has launched an AI Creator Assistant on Facebook that gives creators personalised insights, content ideas and posting tips based on audience behaviour and performance.

Meta launches AI creator assistant: This new Facebook AI tool can analyse comments, suggest content, and improve reach

Meta has launched its AI-powered Business Agent globally, bringing advanced artificial intelligence tools to businesses using WhatsApp, Instagram and Messenger. The new service is designed to help companies automate customer support, answer questions, recommend products, book appointments and even assist with sales.The announcement was made during Meta's Conversations conference in London and marks one of the company's biggest moves yet into the growing enterprise AI market. According to Meta, the rollout follows nearly two years of testing in countries including India and Mexico. More than one million businesses were already using earlier versions of Meta's business AI tools before the global expansion. The launch comes as technology companies including OpenAI, Google and Anthropic race to develop AI agents capable of carrying out real-world tasks for businesses and consumers.<h2>What is Meta Business Agent?</h2>Meta Business Agent is an AI-powered virtual assistant designed to help businesses manage customer interactions around the clock. According to the company, the assistant can answer frequently asked questions, recommend products from a catalogue, qualify potential customers, book appointments and hand over complex conversations to human support teams when necessary. Unlike traditional chatbots that rely on fixed responses, Meta says the new system can understand context and carry out actions on behalf of businesses. For example, it can process bookings, help customers complete purchases and guide users through product selections.The feature is now available to businesses of all sizes globally.AI assistant comes to Instagram as well Meta is not limiting the new technology to WhatsApp.The company has confirmed that the Business Agent will also be integrated into Instagram Direct Messages and Messenger, creating a unified AI support system across Meta's platforms.In addition, Meta is testing a new feature that provides daily summaries of customer conversations. These briefings can highlight missed messages, identify important customer trends and offer insights into engagement levels.According to reports, future updates may include:Market research assistance Product performance insights Calendar management Competitive intelligence tools Business workflow automationThese features are currently being tested with selected business accounts.<h2>Meta is targeting businesses</h2>For years, Meta's AI efforts focused mainly on consumer products. However, the company is now expanding into enterprise software and business automation.Naomi Gleit, Meta's Head of Product, told Reuters that the launch is "definitely an enterprise play", signalling Meta's intention to compete with major AI companies in the business software market. The company believes businesses increasingly want AI systems that can do more than answer questions. Instead, firms are looking for tools that can take actions, manage workflows and improve customer experiences. Meta's strategy also builds on the popularity of WhatsApp Business, which is used by millions of businesses worldwide to communicate with customers.<h2>Meta plans subscription-based pricing</h2>While businesses will initially receive access to many features at no cost, Meta plans to introduce paid subscription tiers in the coming months.According to the company:Small businesses will receive access through WhatsApp Business Premium plans Larger organisations will be charged based on AI usage and token consumption Enterprises will gain access to advanced management controls and integrations<h2>Custom AI agents for larger enterprises</h2>Meta is also developing a broader Business Agent Platform aimed at larger organisations. The platform will allow companies to build custom AI agents connected to existing business software, including platforms such as Shopify, Zendesk and Shopee. This means businesses could create specialised AI assistants capable of handling customer support, inventory management, sales operations and internal workflows.Meta says the platform will include enterprise-grade security controls, monitoring tools and performance analytics.<h2>New discovery tools for customers</h2>Meta is also introducing new ways for users to discover businesses powered by AI agents. Customers will be able to search for businesses directly through WhatsApp and share business contacts more easily with friends and family. The company believes these tools will help businesses improve visibility while making it easier for consumers to connect with brands through messaging platforms.The bigger AI battle is shifting to businesses Meta's latest launch reflects a broader shift taking place across the AI industry.Over the past year, AI companies have increasingly focused on "agentic AI" systems capable of carrying out tasks rather than simply generating text. Companies including OpenAI, Google, Anthropic and Alibaba have all introduced business-focused AI agents designed to automate routine work. Meta's advantage lies in its enormous ecosystem. With billions of users across WhatsApp, Instagram, Facebook and Messenger, the company already sits at the centre of communication between businesses and customers.By embedding AI directly into those conversations, Meta hopes to make its platforms a central hub for customer support, sales and business operations.

Meta has rolled out its AI Business Agent worldwide, helping businesses automate chats, sales and customer support across WhatsApp, Instagram and Messenger, as tech giants race to bring AI agents into everyday business operations.

Meta has launched its AI-powered Business Agent globally, bringing advanced artificial intelligence tools to businesses using WhatsApp, Instagram and Messenger. The new service is designed to help companies automate customer support, answer questions, recommend products, book appointments and even assist with sales. The announcement was made during Meta's Conversations conference in London and marks one of the company's biggest moves yet into the growing enterprise AI market. According to Meta, the rollout follows nearly two years of testing in countries including India and Mexico. More than one million businesses were already using earlier versions of Meta's business AI tools before the global expansion. The launch comes as technology companies including OpenAI, Google and Anthropic race to develop AI agents capable of carrying out real-world tasks for businesses and consumers. What is Meta Business Agent? Meta Business Agent is an AI-powered virtual assistant designed to help businesses manage customer interactions around the clock. According to the company, the assistant can answer frequently asked questions, recommend products from a catalogue, qualify potential customers, book appointments and hand over complex conversations to human support teams when necessary. Unlike traditional chatbots that rely on fixed responses, Meta says the new system can understand context and carry out actions on behalf of businesses. For example, it can process bookings, help customers complete purchases and guide users through product selections. The feature is now available to businesses of all sizes globally. AI assistant comes to Instagram as well Meta is not limiting the new technology to WhatsApp. The company has confirmed that the Business Agent will also be integrated into Instagram Direct Messages and Messenger, creating a unified AI support system across Meta's platforms. In addition, Meta is testing a new feature that provides daily summaries of customer conversations. These briefings can highlight missed messages, identify important customer trends and offer insights into engagement levels. According to reports, future updates may include: Market research assistance Product performance insights Calendar management Competitive intelligence tools Business workflow automation These features are currently being tested with selected business accounts. Meta is targeting businesses For years, Meta's AI efforts focused mainly on consumer products. However, the company is now expanding into enterprise software and business automation. Naomi Gleit, Meta's Head of Product, told Reuters that the launch is "definitely an enterprise play", signalling Meta's intention to compete with major AI companies in the business software market. The company believes businesses increasingly want AI systems that can do more than answer questions. Instead, firms are looking for tools that can take actions, manage workflows and improve customer experiences. Meta's strategy also builds on the popularity of WhatsApp Business, which is used by millions of businesses worldwide to communicate with customers. Meta plans subscription-based pricing While businesses will initially receive access to many features at no cost, Meta plans to introduce paid subscription tiers in the coming months. According to the company: Small businesses will receive access through WhatsApp Business Premium plans Larger organisations will be charged based on AI usage and token consumption Enterprises will gain access to advanced management controls and integrations Custom AI agents for larger enterprises Meta is also developing a broader Business Agent Platform aimed at larger organisations. The platform will allow companies to build custom AI agents connected to existing business software, including platforms such as Shopify, Zendesk and Shopee. This means businesses could create specialised AI assistants capable of handling customer support, inventory management, sales operations and internal workflows. Meta says the platform will include enterprise-grade security controls, monitoring tools and performance analytics. New discovery tools for customers Meta is also introducing new ways for users to discover businesses powered by AI agents. Customers will be able to search for businesses directly through WhatsApp and share business contacts more easily with friends and family. The company believes these tools will help businesses improve visibility while making it easier for consumers to connect with brands through messaging platforms. The bigger AI battle is shifting to businesses Meta's latest launch reflects a broader shift taking place across the AI industry. Over the past year, AI companies have increasingly focused on "agentic AI" systems capable of carrying out tasks rather than simply generating text. Companies including OpenAI, Google, Anthropic and Alibaba have all introduced business-focused AI agents designed to automate routine work. Meta's advantage lies in its enormous ecosystem. With billions of users across WhatsApp, Instagram, Facebook and Messenger, the company already sits at the centre of communication between businesses and customers. By embedding AI directly into those conversations, Meta hopes to make its platforms a central hub for customer support, sales and business operations.

Meta has rolled out its AI Business Agent worldwide, helping businesses automate chats, sales and customer support across WhatsApp, Instagram and Messenger, as tech giants race to bring AI agents into everyday business operations.

Meta launches AI Business Agent on WhatsApp globally: What it means for small businesses

India's largest IT services companies are rapidly expanding their use of artificial intelligence, with Tata Consultancy Services (TCS), Infosys and Wipro now deploying Microsoft 365 Copilot to more than 300,000 employees combined.Microsoft announced the milestone on June 3, describing it as one of the largest enterprise AI deployments globally. The rollout highlights how major companies are moving beyond small AI pilot programmes and integrating artificial intelligence into daily operations across thousands of employees.The development comes at a time when businesses worldwide are evaluating both the benefits and costs of AI adoption, including concerns over rising spending on AI infrastructure and computing resources.<h2>From pilot projects to large-scale AI adoption</h2>The latest expansion builds on the initial deployment announced in December, when TCS, Infosys and Wipro each committed to deploying around 50,000 Microsoft Copilot licences. Less than six months later, the combined deployment has crossed 300,000 users, signalling growing confidence in AI-powered workplace tools.According to Microsoft, organisations are increasingly using Copilot across engineering teams, customer service operations, research functions, internal communications and business workflows. The company says this reflects a broader shift towards embedding AI into everyday work rather than treating it as a separate technology experiment.<h2>Infosys, TCS and Wipro are using Microsoft Copilot</h2>Microsoft shared detailed adoption figures from each company.Infosys Infosys has crossed 100,000 Copilot users, with monthly active usage exceeding 91 per cent.The company has integrated AI tools into employee workflows across multiple business functions, helping staff automate routine tasks and improve productivity.Tata Consultancy Services (TCS)TCS reported that 86 per cent of employees with Copilot licences actively use the tool in their daily work.According to the company, some teams have recorded:Productivity improvements of 20 per cent to 25 per cent in research and content-related tasksTwice-faster insight generationA 25 per cent to 35 per cent reduction in selected work-cycle times These gains are helping employees spend less time on repetitive work and more time on higher-value activities.Wipro Wipro reported some of the highest engagement figures. The company says more than 95 per cent of licensed employees actively use Copilot every month.According to Wipro: Employees generate around 7.5 million AI prompts each month AI-assisted workflows save more than 250,000 full-time-equivalent workdays every quarter Employees have built over 29,000 AI agents internally More than 60 enterprise-grade agentic AI solutions have been developed The figures suggest AI tools are becoming deeply integrated into day-to-day operations.<h2>Microsoft's vision of 'Frontier Firms'</h2>Microsoft says the rapid adoption of Copilot aligns with what it calls "Frontier Firms". According to the company, these are organisations that redesign work around collaboration between humans and AI systems rather than simply adding AI tools to existing processes. Puneet Chandok, President of Microsoft India and South Asia, said TCS, Infosys and Wipro are placing Copilot at the centre of how employees work.He described the shift as a move from experimenting with artificial intelligence to building business operations around it. Microsoft argues that organisations using AI effectively can improve decision-making, customer engagement and operational efficiency while creating new business opportunities.India's IT services industry has become one of the largest users of workplace AI tools globally. Companies such as TCS, Infosys and Wipro manage large workforces that support businesses across banking, healthcare, retail, manufacturing and technology sectors.

India's largest IT services companies are rapidly expanding their use of artificial intelligence, with Tata Consultancy Services (TCS), Infosys and Wipro now deploying Microsoft 365 Copilot to more than 300,000 employees combined.

India's largest IT services companies are rapidly expanding their use of artificial intelligence, with Tata Consultancy Services (TCS), Infosys and Wipro now deploying Microsoft 365 Copilot to more than 300,000 employees combined. Microsoft announced the milestone on June 3, describing it as one of the largest enterprise AI deployments globally. The rollout highlights how major companies are moving beyond small AI pilot programmes and integrating artificial intelligence into daily operations across thousands of employees. The development comes at a time when businesses worldwide are evaluating both the benefits and costs of AI adoption, including concerns over rising spending on AI infrastructure and computing resources. From pilot projects to large-scale AI adoption The latest expansion builds on the initial deployment announced in December, when TCS, Infosys and Wipro each committed to deploying around 50,000 Microsoft Copilot licences. Less than six months later, the combined deployment has crossed 300,000 users, signalling growing confidence in AI-powered workplace tools. According to Microsoft, organisations are increasingly using Copilot across engineering teams, customer service operations, research functions, internal communications and business workflows. The company says this reflects a broader shift towards embedding AI into everyday work rather than treating it as a separate technology experiment. Infosys, TCS and Wipro are using Microsoft Copilot Microsoft shared detailed adoption figures from each company. Infosys Infosys has crossed 100,000 Copilot users, with monthly active usage exceeding 91 per cent. The company has integrated AI tools into employee workflows across multiple business functions, helping staff automate routine tasks and improve productivity. Tata Consultancy Services (TCS) TCS reported that 86 per cent of employees with Copilot licences actively use the tool in their daily work. According to the company, some teams have recorded: Productivity improvements of 20 per cent to 25 per cent in research and content-related tasks Twice-faster insight generation A 25 per cent to 35 per cent reduction in selected work-cycle times These gains are helping employees spend less time on repetitive work and more time on higher-value activities. Wipro Wipro reported some of the highest engagement figures. The company says more than 95 per cent of licensed employees actively use Copilot every month. According to Wipro: Employees generate around 7.5 million AI prompts each month AI-assisted workflows save more than 250,000 full-time-equivalent workdays every quarter Employees have built over 29,000 AI agents internally More than 60 enterprise-grade agentic AI solutions have been developed The figures suggest AI tools are becoming deeply integrated into day-to-day operations. Microsoft's vision of 'Frontier Firms' Microsoft says the rapid adoption of Copilot aligns with what it calls "Frontier Firms". According to the company, these are organisations that redesign work around collaboration between humans and AI systems rather than simply adding AI tools to existing processes. Puneet Chandok, President of Microsoft India and South Asia, said TCS, Infosys and Wipro are placing Copilot at the centre of how employees work. He described the shift as a move from experimenting with artificial intelligence to building business operations around it. Microsoft argues that organisations using AI effectively can improve decision-making, customer engagement and operational efficiency while creating new business opportunities. India's IT services industry has become one of the largest users of workplace AI tools globally. Companies such as TCS, Infosys and Wipro manage large workforces that support businesses across banking, healthcare, retail, manufacturing and technology sectors.

India's largest IT services companies are rapidly expanding their use of artificial intelligence, with Tata Consultancy Services (TCS), Infosys and Wipro now deploying Microsoft 365 Copilot to more than 300,000 employees combined.

TCS, Infosys and Wipro deploy Microsoft Copilot to more than 300,000 employees

Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure.According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centres.

<blockquote class="twitter-tweet">Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop. It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run… <a href="https://t.co/M5xw74tEAW">pic.twitter.com/M5xw74tEAW</a>&mdash; Google (@Google) <a href="https://x.com/Google/status/2062203526588088452?ref_src=twsrc%5Etfw">June 3, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What is Gemma 4 12B?</h2>Gemma is Google's family of open AI models built using technology and research from its Gemini programme. The new Gemma 4 12B model contains 12 billion parameters and has been designed to handle multiple types of information, including text, images and audio. Unlike traditional AI systems that focus only on text, Gemma 4 12B can understand visual content, process audio inputs and perform advanced reasoning tasks. This makes it suitable for a wider range of applications, from software development and content creation to research and automation. Google says the model is available under the Apache 2.0 licence, allowing developers and organisations to use, modify and deploy it with relatively few restrictions.<h2>Why is this launch important?</h2>One of the biggest challenges in artificial intelligence today is the cost of running powerful models. Many advanced AI systems require expensive cloud infrastructure and high-performance servers. That can create barriers for smaller companies, independent developers and researchers. Google says Gemma 4 12B addresses this challenge by offering strong performance while remaining compact enough to run on consumer hardware. The company claims users can access advanced AI capabilities on their own machines without constantly sending requests to cloud servers.This approach can provide several advantages:Lower operating costs Better privacy Faster response times Reduced internet dependence Greater control over dataIndustry experts increasingly see local AI as one of the next major shifts in computing. A new architecture removes traditional limitationsOne of the most significant technical changes in Gemma 4 12B is its new unified architecture. Traditionally, multimodal AI systems use separate components known as encoders to process images, audio and text before combining the information. Google says Gemma 4 12B removes the need for separate multimodal encoders. Instead, the model processes different types of information through a unified architecture. According to the company, this helps improve efficiency while reducing memory requirements and computational overhead.The result is a model that can deliver advanced multimodal capabilities while remaining small enough to run locally on modern hardware.<h2>The growing race for local AI</h2>Google's announcement comes as technology companies increasingly compete to bring AI closer to users. Microsoft recently introduced AI-focused hardware such as the Surface RTX Spark Dev Box and Surface Laptop Ultra. Apple has expanded on-device AI through Apple Intelligence, while companies including Perplexity and Nvidia are investing heavily in local AI computing.The industry's focus is shifting because running every AI request through the cloud is becoming increasingly expensive. Local AI offers a way to reduce infrastructure costs while improving privacy and responsiveness. Gemma 4 12B positions Google as an important player in this emerging market.<h2>Who could use Gemma 4 12B?</h2>The model is expected to appeal to several groups. Developers Software developers can use the model to build AI-powered applications without relying entirely on external APIs.Researchers&nbsp; Researchers can experiment with advanced AI systems locally while maintaining greater control over their data.Businesses Companies working with sensitive information may prefer local AI processing for privacy and compliance reasons.AI enthusiasts Because the model is openly available, hobbyists and independent developers can also explore its capabilities without significant infrastructure investments.<h2>What does this mean for the future of AI?</h2>The release of Gemma 4 12B reflects a broader shift taking place across the industry. For years, AI development focused primarily on building larger and larger models in massive data centres. Increasingly, however, companies are trying to make powerful AI systems smaller, more efficient and easier to run on everyday devices. Google's latest model suggests that future AI progress may not only be about scale. Efficiency, accessibility and local deployment are becoming equally important.If models like Gemma 4 12B continue to improve, users may soon be able to run advanced AI assistants, coding tools and productivity systems directly on their laptops without relying heavily on cloud services. For developers and businesses, that could open the door to a new generation of AI applications that are faster, more private and less expensive to operate.

Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure.


Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure. According to Google, the new model delivers performance close to much larger AI systems while requiring significantly less memory. The company says Gemma 4 12B can run locally on devices equipped with just 16GB of VRAM, making advanced AI more accessible to developers, researchers and businesses. The launch highlights a growing trend across the AI industry: bringing powerful AI models directly to personal computers instead of relying solely on remote data centres.

Google has unveiled Gemma 4 12B, the latest version of its open AI model family, bringing advanced reasoning, vision and audio capabilities to devices that can run locally without depending entirely on cloud infrastructure.

Google launches Gemma 4 12B: This powerful AI model from Google can run on your laptop

Microsoft has announced the Surface RTX Spark Dev Box, a new compact desktop computer designed specifically for software developers, AI engineers and researchers. The device was unveiled during Microsoft's annual Build developer conference and forms part of the company's broader push to bring artificial intelligence development closer to users instead of relying entirely on cloud infrastructure.The Surface RTX Spark Dev Box joins the recently announced Surface Laptop Ultra. While the laptop focuses on portable AI computing, the Dev Box is designed as a stationary workstation capable of handling demanding AI tasks directly on a developer's desk.

<blockquote class="twitter-tweet">Introducing - Surface RTX Spark Dev Box. All the power developers need, right out of the box. Sign up to learn more: <a href="https://t.co/DF0DvEvhOz">https://t.co/DF0DvEvhOz</a> Surface RTX Spark Dev Box. Built for more. <a href="https://t.co/wFqfi6z8FD">pic.twitter.com/wFqfi6z8FD</a>&mdash; Microsoft Surface (@surface) <a href="https://x.com/surface/status/2061850684052394367?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 the Surface RTX Spark Dev Box?</h2>The Surface RTX Spark Dev Box is a desktop computer built around Nvidia's new RTX Spark architecture. Microsoft says the system has been designed for developers who want to run, test and fine-tune AI models locally without constantly relying on cloud-based computing resources. As AI models become larger and more expensive to operate, many developers are looking for ways to reduce cloud computing costs. Microsoft believes local AI processing can help developers work faster while lowering spending on cloud services. The company says the Dev Box is aimed at software developers, machine learning engineers, AI startups and enterprises building AI-powered applications.<h2>Nvidia RTX Spark superchip powers the system</h2>At the heart of the device is Nvidia's RTX Spark superchip, which combines a Grace CPU with a Blackwell RTX GPU. According to Microsoft, the system delivers up to one petaflop of AI computing performance and includes 128GB of unified memory. They claim this is enough to run AI models with more than 120 billion parameters locally. Developers can also fine-tune large language models and perform advanced AI tasks that would normally require access to expensive cloud GPUs.The announcement reflects a wider industry trend where technology companies are trying to balance cloud AI services with powerful local computing capabilities.<h2>Why is Microsoft pushing local AI computing?</h2>Over the past two years, the cost of running advanced AI models has increased significantly as businesses process billions of AI queries each day. Microsoft argues that not every AI task needs to be sent to a remote data centre. Instead, developers can handle many routine workloads directly on their own machines while reserving cloud resources for larger and more complex tasks.This approach can reduce latency, improve privacy and lower operational costs. Industry experts increasingly view hybrid AI computing combining local devices with cloud infrastructure as a practical solution for managing growing AI workloads.<h2>Built for developers from day one</h2>Microsoft says the Surface RTX Spark Dev Box comes pre-configured with a range of developer tools.The device includes:Windows 11 Pro Visual Studio Code GitHub Copilot Git Python <a href="http://node.js">Node.js</a> PowerShell 7 Windows Subsystem for Linux (WSL 2)The company has also enabled Developer Mode by default and configured GPU passthrough with CUDA support, allowing developers to take full advantage of the Nvidia hardware. Microsoft says users can begin building and testing applications immediately after setting up the device.<h2>Integrated with Microsoft's AI ecosystem</h2>The new Dev Box is closely connected to Microsoft's growing AI development platform.Users will have access to: AI Toolkit for Visual Studio Code Windows Machine Learning (Windows ML) Microsoft Foundry Microsoft Foundry allows developers to deploy, manage and scale AI models built locally. The company says this integration is intended to create a smoother workflow between local development and large-scale deployment.<h2>Security and enterprise features</h2>Microsoft has also focused heavily on security. The Surface RTX Spark Dev Box includes:Secured-core PC certification BitLocker encryption Microsoft Defender security tools Entra ID support Microsoft Intune management capabilitiesThese features are particularly important for enterprise customers handling sensitive data and proprietary AI models. The company says organisations will be able to manage the devices using existing Microsoft security and administration tools.<h2>Availability and pricing</h2>Microsoft says the Surface RTX Spark Dev Box will go on sale later this year in the United States through its official website. The company has not yet announced pricing details.While the final cost remains unknown, the hardware specifications suggest the device is likely to target professional developers, AI researchers and enterprise customers rather than mainstream consumers.As demand for AI development tools continues to grow, products such as the Surface RTX Spark Dev Box could play an increasingly important role in helping developers build and deploy advanced AI systems directly from their desktops.

Microsoft has announced the Surface RTX Spark Dev Box, a new compact desktop computer designed specifically for software developers, AI engineers and researchers. 


Microsoft has announced the Surface RTX Spark Dev Box, a new compact desktop computer designed specifically for software developers, AI engineers and researchers. The device was unveiled during Microsoft's annual Build developer conference and forms part of the company's broader push to bring artificial intelligence development closer to users instead of relying entirely on cloud infrastructure. The Surface RTX Spark Dev Box joins the recently announced Surface Laptop Ultra. While the laptop focuses on portable AI computing, the Dev Box is designed as a stationary workstation capable of handling demanding AI tasks directly on a developer's desk.

Microsoft has announced the Surface RTX Spark Dev Box, a new compact desktop computer designed specifically for software developers, AI engineers and researchers.&nbsp;

Microsoft unveils Surface RTX Spark Dev Box for local AI workloads: Everything you need to know

Microsoft CEO Satya Nadella has defended the company's growing AI infrastructure footprint by highlighting a new data centre that he says uses no more water each year than a neighbourhood restaurant.Speaking during his keynote address at Microsoft Build 2026, Nadella presented Microsoft's Fairwater data centre in Wisconsin as an example of how future AI facilities could reduce environmental impact while supporting the growing demand for artificial intelligence services. The comments come as technology companies face increasing scrutiny over the resources required to power and cool AI systems, particularly water and electricity consumption.

<blockquote class="twitter-tweet" data-media-max-width="560">.<a href="https://x.com/satyanadella?ref_src=twsrc%5Etfw">@satyanadella</a> just put the whole &quot;water&quot; debate to rest. Datacenters run on a closed loop cooling system, the water usage of a datacenter for an entire year is roughly equivalent to a usage of 1 restaurant! <a href="https://t.co/4mWCpxNWbJ">pic.twitter.com/4mWCpxNWbJ</a>&mdash; Alex Volkov (@altryne) <a href="https://x.com/altryne/status/2061857233903001674?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's Fairwater AI data centre?</h2>The Fairwater facility is a 315-acre campus located in Mount Pleasant, Wisconsin. Microsoft has previously described it as one of its most advanced AI infrastructure projects. According to Nadella, the facility was designed differently from traditional data centres. Instead of spreading equipment across large horizontal buildings, Fairwater uses a two-storey vertical design that stacks thousands of graphics processors and computing systems closer together. Microsoft says this approach helps reduce latency while making more efficient use of land, power and cooling resources.The company had committed approximately $7.3 billion to the project as of September 2025, making it one of Microsoft's largest AI infrastructure investments.<h2>How does the water-saving system work?</h2>The centrepiece of Microsoft's environmental argument is Fairwater's cooling system. According to Nadella, engineers filled the facility's cooling infrastructure with water only once during construction. The water is then continuously recycled through a closed-loop cooling system rather than being regularly replaced with fresh supplies. This means the facility does not need to draw large amounts of water from local communities during normal operations. Microsoft claims this approach allows the data centre's annual water consumption to remain comparable to that of a single local restaurant. As AI systems become larger and more energy-intensive, cooling has become one of the biggest environmental challenges facing the technology industry. Closed-loop systems are increasingly being explored as a way to reduce water demand. The rapid growth of artificial intelligence has triggered a global data centre construction boom. Microsoft's Azure cloud platform now operates across more than 500 data centres in over 80 regions worldwide. According to Nadella, Microsoft has added more data centre capacity in the last 18 months than it did during the entire first decade of Azure's existence.However, that expansion has also sparked criticism from some local communities and environmental groups.<h2>Microsoft's broader sustainability argument</h2>Nadella acknowledged that technology companies must do more than simply build data centres. According to the Microsoft CEO, companies need to demonstrate that new facilities benefit local communities through job creation, tax revenue and support for local organisations. He also argued that protecting local electricity prices should be a priority when building large-scale AI infrastructure."We have to earn trust," Nadella suggested during his remarks, pointing to the need for long-term relationships with communities hosting data centres. Microsoft says sustainable growth will become increasingly important as AI demand continues to rise globally.<h2>Why AI infrastructure is expanding rapidly</h2>The growth of generative AI tools such as ChatGPT, Copilot, Gemini and Claude has created unprecedented demand for computing power. Training and operating advanced AI models requires massive clusters of specialised chips, particularly graphics processing units (GPUs). These systems consume significant amounts of electricity and generate large amounts of heat, making efficient cooling essential.Industry analysts expect global investment in AI infrastructure to continue rising over the coming years as technology companies compete to build larger and more capable AI systems. This has placed data centre sustainability at the centre of discussions around the future of artificial intelligence.<h2>Can AI growth and sustainability coexist?</h2>Microsoft believes the answer is yes. The company argues that innovations such as closed-loop cooling systems, more efficient building designs and renewable energy investments can help reduce the environmental impact of AI infrastructure.However, independent experts and environmental groups are likely to continue examining these claims as more facilities become operational. For now, Fairwater has become Microsoft's showcase project for demonstrating how future AI data centres could operate with lower water consumption while supporting the growing computing demands of artificial intelligence. Whether similar approaches can be scaled across the industry's rapidly expanding network of AI facilities remains one of the key questions facing the technology sector.

Microsoft CEO Satya Nadella says the Fairwater AI data centre uses recycled cooling water and consumes no more water annually than a neighbourhood restaurant, highlighting a potential model for sustainable AI infrastructure.

Microsoft CEO Satya Nadella has defended the company's growing AI infrastructure footprint by highlighting a new data centre that he says uses no more water each year than a neighbourhood restaurant. Speaking during his keynote address at Microsoft Build 2026, Nadella presented Microsoft's Fairwater data centre in Wisconsin as an example of how future AI facilities could reduce environmental impact while supporting the growing demand for artificial intelligence services. The comments come as technology companies face increasing scrutiny over the resources required to power and cool AI systems, particularly water and electricity consumption.

Microsoft CEO Satya Nadella says the Fairwater AI data centre uses recycled cooling water and consumes no more water annually than a neighbourhood restaurant, highlighting a potential model for sustainable AI infrastructure.

Microsoft unveils AI data centre with closed-loop cooling system: Can it become sustainable?

AI company Perplexity has announced a new feature called "hybrid agentic inference" for its Personal Computer platform, aiming to solve one of the biggest challenges facing artificial intelligence today: deciding what should run on your device and what should run in the cloud. The company says the new system will automatically split AI tasks between local models running on a user's computer and larger, more powerful models operating in remote data centres. The goal is to improve privacy, reduce costs and deliver better performance without requiring users to make technical decisions themselves. The announcement comes as technology companies increasingly look for ways to combine the speed and privacy of on-device AI with the power of cloud-based systems.

<blockquote class="twitter-tweet">Today we&#39;re announcing that hybrid agentic inference is coming to Perplexity Computer. Computer can split tasks between a local model running on your machine and frontier models in the cloud. This keeps private data on your device and maximizes token efficiency. Coming soon. <a href="https://t.co/6t3PrmI1FX">pic.twitter.com/6t3PrmI1FX</a>&mdash; Perplexity (@perplexity_ai) <a href="https://x.com/perplexity_ai/status/2061861293569765847?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 hybrid agentic inference?</h2>Hybrid agentic inference is a system that allows AI workloads to be shared between a user's device and cloud-based AI models. Instead of sending every request to a remote server, Perplexity's system first evaluates the task and decides where different parts should be processed. For example, if a user asks an AI assistant to analyse financial records, personal documents or health information, the sensitive data can remain on the device. More complex reasoning tasks can then be sent to larger cloud-based AI models when additional computing power is needed. According to Perplexity, the entire process happens automatically without requiring users to choose between local and cloud processing.<h2>What is the 'orchestration problem'?</h2>At the centre of Perplexity's announcement is a concept known as the orchestration problem.As AI systems become more advanced, companies now have access to multiple models with different strengths. Some models are small and efficient enough to run on personal devices, while others require large-scale cloud infrastructure.The challenge is deciding:Which model should handle a task Where the task should be processed How data should move between systems When cloud resources are actually neededPerplexity says hybrid agentic inference is designed to solve this problem automatically.In simple terms, the system acts like an intelligent traffic controller, deciding which AI model is best suited for each part of a request.<h2>Why is Perplexity focusing on local AI?</h2>The company believes that modern computers are becoming powerful enough to handle a much larger share of AI workloads locally. Over the past few years, improvements in processors, graphics chips and dedicated AI hardware have made it possible to run increasingly capable AI models directly on laptops and desktops.Perplexity argues that local AI offers several advantages:Better privacy Faster response times Lower cloud computing costs Reduced dependence on remote servers Greater user control over personal dataThe company summed up its philosophy by saying that people would rather own "a data centre in their laptop" than depend entirely on infrastructure controlled by technology companies.<h2>How does the system protect sensitive data?</h2>Privacy is one of the main reasons behind the hybrid approach. According to Perplexity, a compact AI model running on the user's device first reviews requests and determines whether sensitive information should remain local.This could include:Financial records Medical information Personal documents Private business dataOnly tasks that require additional reasoning or processing power are sent to larger cloud models. The company believes this approach can reduce the amount of personal information transmitted to remote servers while still giving users access to advanced AI capabilities.<h2>Partnerships with Intel and Nvidia</h2>Perplexity introduced the technology alongside Intel and says the platform has been designed to work across multiple hardware ecosystems. The company also highlighted support for Nvidia's RTX Spark platform, one of the latest AI-focused computing architectures aimed at running advanced AI models locally. Importantly, Perplexity says its orchestration layer is model-agnostic. This means it is not tied to a specific AI model or hardware platform and can potentially operate across a range of processors, chips and AI environments.How does it compare with Apple, Google and Microsoft?Perplexity is not the only company pursuing a hybrid AI strategy. Several major technology firms have already introduced similar approaches:Apple Apple Intelligence combines on-device AI processing with Private Cloud Compute, allowing users to access larger AI models while keeping sensitive information protected.Google Google offers Gemini Nano for local AI processing on supported devices while relying on larger Gemini models in the cloud for more advanced tasks.Microsoft Microsoft has expanded local AI capabilities through its growing family of AI models and AI-focused Windows hardware.Perplexity argues that its key difference is automation. Rather than asking users or developers to decide where workloads should run, the system makes those decisions automatically as part of a single workflow.<h2>Why this matters for the future of AI</h2>The announcement highlights a growing shift in the AI industry. For years, the dominant model involved sending nearly all AI requests to large cloud data centres. However, the cost of operating advanced AI systems continues to rise, while concerns around privacy and data ownership are becoming more important. Hybrid AI is increasingly viewed as a practical solution because it combines the strengths of both approaches.Industry analysts expect future AI assistants to operate across multiple layers, using local processing whenever possible and cloud resources only when necessary.<h2>When will it be available?</h2>Perplexity says support for local inference on its Personal Computer platform is expected to begin rolling out in July. The company has not yet disclosed full hardware requirements or confirmed which devices will receive support first. However, the announcement suggests that Perplexity is positioning itself alongside Apple, Google and Microsoft in the growing race to make AI more personal, private and efficient. As AI becomes a larger part of everyday computing, systems capable of intelligently balancing local and cloud processing could play an increasingly important role in how users interact with technology.&nbsp;

Perplexity has introduced “hybrid agentic inference,” a system that automatically decides whether AI tasks should run on your device or in the cloud, aiming to boost privacy, performance, and efficiency in everyday AI use.

AI company Perplexity has announced a new feature called "hybrid agentic inference" for its Personal Computer platform, aiming to solve one of the biggest challenges facing artificial intelligence today: deciding what should run on your device and what should run in the cloud. The company says the new system will automatically split AI tasks between local models running on a user's computer and larger, more powerful models operating in remote data centres. The goal is to improve privacy, reduce costs and deliver better performance without requiring users to make technical decisions themselves. The announcement comes as technology companies increasingly look for ways to combine the speed and privacy of on-device AI with the power of cloud-based systems.

Perplexity has introduced “hybrid agentic inference,” a system that automatically decides whether AI tasks should run on your device or in the cloud, aiming to boost privacy, performance, and efficiency in everyday AI use.

Perplexity unveils hybrid agentic inference: What it is and why it matters

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

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?

Artificial intelligence company Anthropic has announced a major expansion of Project Glasswing, its cyber security initiative designed to help organisations identify and fix critical software vulnerabilities using AI.The programme will now include around 150 organisations across more than 15 countries, significantly expanding from its initial group of participants. The move comes just a day after Anthropic confirmed that it had confidentially filed for an initial public offering (IPO), highlighting the company's growing influence in both artificial intelligence and cyber security. At the centre of Project Glasswing is Anthropic's advanced AI model, Claude Mythos, which the company says can identify thousands of serious software vulnerabilities in a matter of weeks.<h2>What is Project Glasswing?</h2>Project Glasswing was launched earlier this year as a joint industry initiative aimed at strengthening cyber security using artificial intelligence. In April, Anthropic provided access to Claude Mythos Preview to an initial group of around 50 partners, including organisations connected to the US government. The goal was to scan large software codebases and identify hidden security weaknesses before cyber criminals could exploit them.According to Anthropic, the AI model has already helped discover thousands of high-severity vulnerabilities, including flaws affecting critical digital infrastructure. The company says Project Glasswing is not just about finding bugs. It is also focused on building safety frameworks and safeguards before highly capable cyber security AI tools become widely available.<h2>Why is Anthropic expanding the programme?</h2>Anthropic says the expanded group will include organisations operating in sectors that were underrepresented during the first phase of the programme.These sectors include:Energy and power systems Water infrastructure Healthcare services Communications networks Hardware and semiconductor companiesAccording to the company, many of these organisations maintain software and digital infrastructure that millions of people rely on every day. Anthropic stated that a successful cyber attack against many of these systems could have serious consequences for national security, public services and critical infrastructure. The company estimates that a major attack on some participating organisations could potentially affect more than 100 million people.<h2>Which countries are involved?</h2>According to reports from the Financial Times, the expanded programme includes organisations from several countries that work closely with the United States.These reportedly include:Australia Canada France Germany Italy Netherlands Spain Belgium Sweden Switzerland India Japan New Zealand South KoreaThe wider international participation reflects growing concern among governments and businesses about increasingly sophisticated cyber threats. Several major organisations are also reported to be participating, including identity management company Okta, technology firms Samsung, SK Hynix and SK Telecom, along with NATO and the European Union Agency for Cybersecurity (ENISA).<h2>What makes Claude Mythos different?</h2>Claude Mythos is Anthropic's most advanced cyber security-focused AI model. The company claims the model can analyse software at a scale far beyond what traditional security teams can achieve alone. During testing, Mythos reportedly identified thousands of previously unknown vulnerabilities, including flaws affecting major operating systems and software platforms.Anthropic says the model's ability to detect zero-day vulnerabilities has made it one of the most powerful AI systems currently being tested for cyber defence applications. However, these same capabilities have also raised concerns among security experts and policymakers. Some worry that similar technology could eventually be misused if deployed without proper safeguards.That concern is one reason why Anthropic has restricted access to Mythos and is using Project Glasswing as a controlled testing environment.<h2>AI companies are entering a cyber security race</h2>Anthropic's expansion comes as competition among AI companies increasingly moves beyond chatbots and into cyber security. The company has warned that rival firms are likely to develop similarly capable systems in the near future. As a result, Anthropic is trying to establish safety measures before advanced cyber security AI becomes widely available.The competitive pressure is already visible. OpenAI recently introduced GPT-5.5-Cyber, a specialised model focused on cyber security applications, and has begun testing it with selected partners. Industry analysts believe cyber security could become one of the most important areas for advanced AI deployment over the next few years.

Anthropic has announced a major expansion of Project Glasswing, its cybersecurity initiative designed to help organisations identify and fix critical software vulnerabilities using AI.

Artificial intelligence company Anthropic has announced a major expansion of Project Glasswing, its cyber security initiative designed to help organisations identify and fix critical software vulnerabilities using AI. The programme will now include around 150 organisations across more than 15 countries, significantly expanding from its initial group of participants. The move comes just a day after Anthropic confirmed that it had confidentially filed for an initial public offering (IPO), highlighting the company's growing influence in both artificial intelligence and cyber security. At the centre of Project Glasswing is Anthropic's advanced AI model, Claude Mythos, which the company says can identify thousands of serious software vulnerabilities in a matter of weeks. What is Project Glasswing? Project Glasswing was launched earlier this year as a joint industry initiative aimed at strengthening cyber security using artificial intelligence. In April, Anthropic provided access to Claude Mythos Preview to an initial group of around 50 partners, including organisations connected to the US government. The goal was to scan large software codebases and identify hidden security weaknesses before cyber criminals could exploit them. According to Anthropic, the AI model has already helped discover thousands of high-severity vulnerabilities, including flaws affecting critical digital infrastructure. The company says Project Glasswing is not just about finding bugs. It is also focused on building safety frameworks and safeguards before highly capable cyber security AI tools become widely available. Why is Anthropic expanding the programme? Anthropic says the expanded group will include organisations operating in sectors that were underrepresented during the first phase of the programme. These sectors include: Energy and power systems Water infrastructure Healthcare services Communications networks Hardware and semiconductor companies According to the company, many of these organisations maintain software and digital infrastructure that millions of people rely on every day. Anthropic stated that a successful cyber attack against many of these systems could have serious consequences for national security, public services and critical infrastructure. The company estimates that a major attack on some participating organisations could potentially affect more than 100 million people. Which countries are involved? According to reports from the Financial Times, the expanded programme includes organisations from several countries that work closely with the United States. These reportedly include: Australia Canada France Germany Italy Netherlands Spain Belgium Sweden Switzerland India Japan New Zealand South Korea The wider international participation reflects growing concern among governments and businesses about increasingly sophisticated cyber threats. Several major organisations are also reported to be participating, including identity management company Okta, technology firms Samsung, SK Hynix and SK Telecom, along with NATO and the European Union Agency for Cybersecurity (ENISA). What makes Claude Mythos different? Claude Mythos is Anthropic's most advanced cyber security-focused AI model. The company claims the model can analyse software at a scale far beyond what traditional security teams can achieve alone. During testing, Mythos reportedly identified thousands of previously unknown vulnerabilities, including flaws affecting major operating systems and software platforms. Anthropic says the model's ability to detect zero-day vulnerabilities has made it one of the most powerful AI systems currently being tested for cyber defence applications. However, these same capabilities have also raised concerns among security experts and policymakers. Some worry that similar technology could eventually be misused if deployed without proper safeguards. That concern is one reason why Anthropic has restricted access to Mythos and is using Project Glasswing as a controlled testing environment. AI companies are entering a cyber security race Anthropic's expansion comes as competition among AI companies increasingly moves beyond chatbots and into cyber security. The company has warned that rival firms are likely to develop similarly capable systems in the near future. As a result, Anthropic is trying to establish safety measures before advanced cyber security AI becomes widely available. The competitive pressure is already visible. OpenAI recently introduced GPT-5.5-Cyber, a specialised model focused on cyber security applications, and has begun testing it with selected partners. Industry analysts believe cyber security could become one of the most important areas for advanced AI deployment over the next few years.

Anthropic has announced a major expansion of Project Glasswing, its cybersecurity initiative designed to help organisations identify and fix critical software vulnerabilities using AI.

Anthropic expands Project Glasswing to 150 organisations across 15 countries

In a major security breach the vulnerabilities in Meta’s rapid rollout of automated features have been exposed. Hackers have successfully used Meta’s AI-powered support chatbot to infiltrate high-profile Instagram accounts. This was aimed at targeting prominent figures ranging from Barack Obama’s White House account to Sephora and the US Space Force Chief Master Sergeant. Meta confirmed the incident on Monday (June 1), stating it had resolved the problem after independent researchers exposed the flaw.&nbsp;The exploit gained traction over the weekend as everyday users reporting similar hijackings flooded Reddit and X. Security researchers and hacking groups actively circulated tutorials, videos, and screenshots on Telegram demonstrating how to bypass Meta's defenses. A video shared on X illustrated the simplicity of the attack: a hacker instructed the Meta AI assistant to link a targeted account to a completely new email address. Moving past standard security protocols, the chatbot complied, assuring the hacker that a verification code had been sent to the new email and requesting the numbers within the chat interface.&nbsp;Once the hacker pasted the correct verification code, the AI assistant provided a button to reset the targeted account's password. To bypass Meta's location-based safeguards, hackers utilised virtual private networks (VPNs) to spoof the account holders' physical locations.&nbsp;This incident throws light on the growing concerns regarding the safety of relying on artificial intelligence for critical security infrastructure, particularly password management. Meta has recently shifted its corporate strategy to prioritise automated systems, introducing the AI support assistant globally on Facebook and Instagram earlier this year. A March press release from Meta originally lauded the feature, stating, “The Meta AI support assistant is a major step in our work to deliver stronger support on our apps.”&nbsp;According to promotional materials released during the global rollout, Meta designed the system to “take action for you on a growing set of requests directly within Facebook and in the future, on Instagram”. These automated capabilities explicitly included reporting scams, identifying impersonation accounts, flagging problematic content, and managing password resets.&nbsp;Following the exposure of the vulnerability by reporting from 404 Media, Meta moved to patch the system. In an official statement addressing the exploit, Meta declared: “This issue has been resolved, and we are securing impacted accounts.” However, the company has not yet disclosed the exact number of users affected by the breach.

Meta pushes emergency patch after hackers manipulate its new AI support chatbot to bypass security, reset passwords, and hijack major Instagram accounts. 

In a major security breach the vulnerabilities in Meta’s rapid rollout of automated features have been exposed. Hackers have successfully used Meta’s AI-powered support chatbot to infiltrate high-profile Instagram accounts. This was aimed at targeting prominent figures ranging from Barack Obama’s White House account to Sephora and the US Space Force Chief Master Sergeant. Meta confirmed the incident on Monday (June 1), stating it had resolved the problem after independent researchers exposed the flaw. The exploit gained traction over the weekend as everyday users reporting similar hijackings flooded Reddit and X. Security researchers and hacking groups actively circulated tutorials, videos, and screenshots on Telegram demonstrating how to bypass Meta's defenses. A video shared on X illustrated the simplicity of the attack: a hacker instructed the Meta AI assistant to link a targeted account to a completely new email address. Moving past standard security protocols, the chatbot complied, assuring the hacker that a verification code had been sent to the new email and requesting the numbers within the chat interface. Once the hacker pasted the correct verification code, the AI assistant provided a button to reset the targeted account's password. To bypass Meta's location-based safeguards, hackers utilised virtual private networks (VPNs) to spoof the account holders' physical locations. This incident throws light on the growing concerns regarding the safety of relying on artificial intelligence for critical security infrastructure, particularly password management. Meta has recently shifted its corporate strategy to prioritise automated systems, introducing the AI support assistant globally on Facebook and Instagram earlier this year. A March press release from Meta originally lauded the feature, stating, “The Meta AI support assistant is a major step in our work to deliver stronger support on our apps.” According to promotional materials released during the global rollout, Meta designed the system to “take action for you on a growing set of requests directly within Facebook and in the future, on Instagram”. These automated capabilities explicitly included reporting scams, identifying impersonation accounts, flagging problematic content, and managing password resets. Following the exposure of the vulnerability by reporting from 404 Media, Meta moved to patch the system. In an official statement addressing the exploit, Meta declared: “This issue has been resolved, and we are securing impacted accounts.” However, the company has not yet disclosed the exact number of users affected by the breach.

Meta pushes emergency patch after hackers manipulate its new AI support chatbot to bypass security, reset passwords, and hijack major Instagram accounts.

Meta AI tricked into handing over passwords for major Instagram accounts

To augment the country's efforts in underwater robotics development, India's National Maritime Security Coordinator, Vice Admiral Biswajit Dasgupta, inaugurated the Centre for Marine Autonomous Robotics Systems(CMARS) at the government-run National Institute of Ocean Technology(NIOT), Chennai. Underwater robotics plays a vital role in search and rescue, mapping, scientific discovery, national security, and resource exploration, among others. Operating under India's Ministry of Earth Sciences (MoES), NIOT has been developing underwater systems and technologies for over three decades. NIOT is in the process of developing and testing India's crewed submersible 'Matsya-6000', which is meant to carry out exploration missions 6000 meters below the ocean surface.Also read | <a href="https://www.wionews.com/india-news/critical-anchor-hegseth-at-shangri-la-dialogue-lauds-india-calls-new-delhi-a-pillar-of-regional-stability-1780120209830">'Critical anchor': Hegseth at Shangri-La Dialogue lauds India, calls New Delhi a pillar of regional stability</a>Explaining the core purpose of the CMARS facility, NIOT Director Dr Balaji Ramakrishnan said it helps create an ecosystem for different stakeholders to participate in our technology development efforts and work with us. This can be done through internships or industry partnerships, in which we provide support and resources. Our Institute has a hyperbaric pressure chamber capable of reaching 1,500 bar, which simulates conditions found in the deepest parts of the ocean. Testing of hardware and systems meant to be deployed in underwater environments can be undertaken here. We aim to offer a conducive ecosystem for those who wish to work with us.Highlighting the strategic importance of the maritime domain, Vice Admiral Dasgupta said that Blue Economy refers to a country's economy enhanced by the oceans. Over the last 20 years, from shipping to tourism, every endeavour connected to the maritime domain has evolved and increased exponentially. On the strategic front, he touched upon the importance of deep-sea exploration, undersea internet cables, and naval submarine operations. Meanwhile, he cautioned that maritime threats are increasing rapidly and there are significant challenges in the undersea domain.Also read | <a href="https://www.wionews.com/world/trump-s-controversial-1-8-billion-weaponisation-fund-dead-for-now-doj-says-it-will-abide-by-court-s-freeze-order-1780366163823">Trump's controversial $1.8 billion weaponisation fund 'dead for now'? DoJ says it will abide by court's freeze order</a>While NIOT develops its fleet of autonomous underwater vehicles and related technologies such as homing &amp; docking, swarm drones, and high-endurance drones, the Institute is also conducting Underwater Robotics Workshops to create synergy between researchers, academicians, industry experts, students, policymakers, and stakeholders working in the maritime and undersea domain.Elaborating on the rationale behind such collaborative efforts, Dr Balaji said that collating the national expertise in a single place helps establish the strengths and areas for improvement, understand the supply chain perspective, take stock of the overall national capability and set a roadmap for the future of undersea exploration.&nbsp;

India has launched a new centre dedicated to underwater robotics as it pushes deeper into ocean exploration, maritime security and next-generation autonomous systems. The move is also closely linked to the ambitious Matsya-6000 deep-sea mission.

To augment the country's efforts in underwater robotics development, India's National Maritime Security Coordinator, Vice Admiral Biswajit Dasgupta, inaugurated the Centre for Marine Autonomous Robotics Systems(CMARS) at the government-run National Institute of Ocean Technology(NIOT), Chennai. Underwater robotics plays a vital role in search and rescue, mapping, scientific discovery, national security, and resource exploration, among others. Operating under India's Ministry of Earth Sciences (MoES), NIOT has been developing underwater systems and technologies for over three decades. NIOT is in the process of developing and testing India's crewed submersible 'Matsya-6000', which is meant to carry out exploration missions 6000 meters below the ocean surface. Also read | 'Critical anchor': Hegseth at Shangri-La Dialogue lauds India, calls New Delhi a pillar of regional stability Explaining the core purpose of the CMARS facility, NIOT Director Dr Balaji Ramakrishnan said it helps create an ecosystem for different stakeholders to participate in our technology development efforts and work with us. This can be done through internships or industry partnerships, in which we provide support and resources. Our Institute has a hyperbaric pressure chamber capable of reaching 1,500 bar, which simulates conditions found in the deepest parts of the ocean. Testing of hardware and systems meant to be deployed in underwater environments can be undertaken here. We aim to offer a conducive ecosystem for those who wish to work with us. Highlighting the strategic importance of the maritime domain, Vice Admiral Dasgupta said that Blue Economy refers to a country's economy enhanced by the oceans. Over the last 20 years, from shipping to tourism, every endeavour connected to the maritime domain has evolved and increased exponentially. On the strategic front, he touched upon the importance of deep-sea exploration, undersea internet cables, and naval submarine operations. Meanwhile, he cautioned that maritime threats are increasing rapidly and there are significant challenges in the undersea domain. Also read | Trump's controversial $1.8 billion weaponisation fund 'dead for now'? DoJ says it will abide by court's freeze order While NIOT develops its fleet of autonomous underwater vehicles and related technologies such as homing & docking, swarm drones, and high-endurance drones, the Institute is also conducting Underwater Robotics Workshops to create synergy between researchers, academicians, industry experts, students, policymakers, and stakeholders working in the maritime and undersea domain. Elaborating on the rationale behind such collaborative efforts, Dr Balaji said that collating the national expertise in a single place helps establish the strengths and areas for improvement, understand the supply chain perspective, take stock of the overall national capability and set a roadmap for the future of undersea exploration.

India has launched a new centre dedicated to underwater robotics as it pushes deeper into ocean exploration, maritime security and next-generation autonomous systems. The move is also closely linked to the ambitious Matsya-6000 deep-sea mission.

Indian Govt's CMARS lab at NIOT to develop Marine Autonomous Robots

Anthropic has taken a major step towards becoming a publicly traded company, filing confidential paperwork with the US Securities and Exchange Commission (SEC) for an initial public offering (IPO). The move could make Anthropic one of the most valuable companies ever to go public and marks a significant moment in the global AI race.The company, best known for its Claude AI chatbot and coding tools, has not yet disclosed how many shares it plans to sell or at what price. However, its most recent private funding round valued the company at approximately $965 billion, placing it ahead of OpenAI's reported valuation of $852 billion.<h2>Anthropic's IPO&nbsp;</h2>Anthropic was founded in 2021 by Dario Amodei and several former OpenAI researchers. Since then, it has grown into one of the biggest challengers to OpenAI in the rapidly expanding AI sector.The company's Claude family of AI models has gained popularity among businesses, software developers and enterprise customers. Claude Code, in particular, has become widely used among developers for software engineering and programming tasks. Industry analysts say the IPO could provide investors with the first detailed look at Anthropic's finances, revenue streams and operating costs. Until now, much of the company's valuation has been based on expectations about future growth rather than publicly available financial data.<h2>Could Anthropic become the first major AI IPO winner?</h2>Anthropic's filing comes during what could become one of the busiest periods in AI market history. The company joins a growing list of highly anticipated AI-related public offerings, including those from SpaceX and potentially OpenAI. According to analysts at PitchBook, the simultaneous arrival of several mega-sized technology IPOs could create one of the largest concentrations of pre-IPO capital ever seen.Supporters argue that Anthropic has several advantages heading into public markets. The company has secured major partnerships, including a long-term agreement with Amazon Web Services worth more than $100 billion to support the training and deployment of Claude models. Its valuation has also risen sharply, increasing from around $380 billion earlier this year to approximately $965 billion following its latest funding round.<h2>How does Anthropic compare with OpenAI?</h2>The rivalry between Anthropic and OpenAI continues to shape much of the AI industry's competitive landscape. Dario Amodei previously worked at OpenAI before leaving the company and later founding Anthropic. Since then, both firms have competed aggressively for enterprise customers, developers and AI talent.Anthropic has found particular success among software developers and businesses. According to reports cited in the filing discussion, fintech company Ramp reported that more businesses used Anthropic's tools than OpenAI's for the first time earlier this year. However, OpenAI still maintains a much larger consumer presence. Market research firm Emarketer estimates that around 36.6% of US internet users will use ChatGPT this year, compared with 5.4% for Claude and 27.4% for Google's Gemini. This suggests Anthropic remains stronger in enterprise and developer markets, while OpenAI continues to dominate consumer AI adoption.<h2>Challenges&nbsp;</h2>Despite its rapid growth, Anthropic faces several challenges. The company has faced scrutiny from policymakers and government agencies over some of its advanced AI systems. Its cybersecurity-focused Mythos model has reportedly raised concerns among government officials and security experts because of its ability to identify software vulnerabilities at scale.Anthropic has also encountered tensions with parts of the US government, including reports that some agencies viewed the company as a supply-chain risk during disputes related to the use of its technology. At the same time, competition is intensifying. OpenAI, Google, Microsoft-backed initiatives and emerging AI startups are all investing heavily in coding assistants, enterprise AI tools and next-generation models.<h2>What does the IPO mean for investors?</h2>An IPO would allow public investors to directly buy shares in Anthropic for the first time. More importantly, it would provide transparency into key financial metrics, including revenue growth, spending on AI infrastructure and profitability. Investors and analysts have increasingly questioned whether AI company valuations are rising faster than underlying business fundamentals. The public listing could therefore become an important test of whether market enthusiasm for AI matches the sector's long-term commercial potential.

Anthropic has taken a major step towards becoming a publicly traded company, filing confidential paperwork with the US Securities and Exchange Commission (SEC) for an initial public offering (IPO). 

Anthropic has taken a major step towards becoming a publicly traded company, filing confidential paperwork with the US Securities and Exchange Commission (SEC) for an initial public offering (IPO). The move could make Anthropic one of the most valuable companies ever to go public and marks a significant moment in the global AI race. The company, best known for its Claude AI chatbot and coding tools, has not yet disclosed how many shares it plans to sell or at what price. However, its most recent private funding round valued the company at approximately $965 billion, placing it ahead of OpenAI's reported valuation of $852 billion. Anthropic's IPO Anthropic was founded in 2021 by Dario Amodei and several former OpenAI researchers. Since then, it has grown into one of the biggest challengers to OpenAI in the rapidly expanding AI sector. The company's Claude family of AI models has gained popularity among businesses, software developers and enterprise customers. Claude Code, in particular, has become widely used among developers for software engineering and programming tasks. Industry analysts say the IPO could provide investors with the first detailed look at Anthropic's finances, revenue streams and operating costs. Until now, much of the company's valuation has been based on expectations about future growth rather than publicly available financial data. Could Anthropic become the first major AI IPO winner? Anthropic's filing comes during what could become one of the busiest periods in AI market history. The company joins a growing list of highly anticipated AI-related public offerings, including those from SpaceX and potentially OpenAI. According to analysts at PitchBook, the simultaneous arrival of several mega-sized technology IPOs could create one of the largest concentrations of pre-IPO capital ever seen. Supporters argue that Anthropic has several advantages heading into public markets. The company has secured major partnerships, including a long-term agreement with Amazon Web Services worth more than $100 billion to support the training and deployment of Claude models. Its valuation has also risen sharply, increasing from around $380 billion earlier this year to approximately $965 billion following its latest funding round. How does Anthropic compare with OpenAI? The rivalry between Anthropic and OpenAI continues to shape much of the AI industry's competitive landscape. Dario Amodei previously worked at OpenAI before leaving the company and later founding Anthropic. Since then, both firms have competed aggressively for enterprise customers, developers and AI talent. Anthropic has found particular success among software developers and businesses. According to reports cited in the filing discussion, fintech company Ramp reported that more businesses used Anthropic's tools than OpenAI's for the first time earlier this year. However, OpenAI still maintains a much larger consumer presence. Market research firm Emarketer estimates that around 36.6% of US internet users will use ChatGPT this year, compared with 5.4% for Claude and 27.4% for Google's Gemini. This suggests Anthropic remains stronger in enterprise and developer markets, while OpenAI continues to dominate consumer AI adoption. Challenges Despite its rapid growth, Anthropic faces several challenges. The company has faced scrutiny from policymakers and government agencies over some of its advanced AI systems. Its cybersecurity-focused Mythos model has reportedly raised concerns among government officials and security experts because of its ability to identify software vulnerabilities at scale. Anthropic has also encountered tensions with parts of the US government, including reports that some agencies viewed the company as a supply-chain risk during disputes related to the use of its technology. At the same time, competition is intensifying. OpenAI, Google, Microsoft-backed initiatives and emerging AI startups are all investing heavily in coding assistants, enterprise AI tools and next-generation models. What does the IPO mean for investors? An IPO would allow public investors to directly buy shares in Anthropic for the first time. More importantly, it would provide transparency into key financial metrics, including revenue growth, spending on AI infrastructure and profitability. Investors and analysts have increasingly questioned whether AI company valuations are rising faster than underlying business fundamentals. The public listing could therefore become an important test of whether market enthusiasm for AI matches the sector's long-term commercial potential.

Anthropic has taken a major step towards becoming a publicly traded company, filing confidential paperwork with the US Securities and Exchange Commission (SEC) for an initial public offering (IPO).&nbsp;

Anthropic files for IPO: How the maker of Claude could reshape the AI race

Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date. The announcement marks a significant step in Microsoft's AI PC strategy as the company looks to bring advanced artificial intelligence capabilities directly onto personal computers.

<blockquote class="twitter-tweet">Introducing Surface Laptop Ultra. Built for world makers. Designed for what&#39;s next. The most powerful Surface laptop ever. Coming Fall 2026. Sign up to learn more: <a href="https://t.co/k8aEX2pTAy">https://t.co/k8aEX2pTAy</a> <a href="https://t.co/bY1NdzNnie">pic.twitter.com/bY1NdzNnie</a>&mdash; Microsoft Surface (@surface) <a href="https://x.com/surface/status/2061329225886453989?ref_src=twsrc%5Etfw">June 1, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

The new device is powered by Nvidia's RTX Spark processor, an Arm-based chip designed to handle demanding AI workloads while maintaining the portability and battery life expected from modern laptops. Microsoft says the Surface Laptop Ultra represents years of collaboration between the two companies on Windows on Arm and AI-focused computing.<h2>What is the Surface Laptop Ultra?</h2>The Surface Laptop Ultra is a 15-inch laptop built around Nvidia's new RTX Spark platform. It is the first major Surface device to combine Microsoft's Windows ecosystem with Nvidia's latest Arm-based AI computing architecture. The launch is particularly notable because it marks Microsoft's renewed effort to build premium Arm-powered computers. Earlier attempts faced challenges, but advances in AI processing, chip design and software optimisation have created new opportunities for Arm-based Windows devices.Microsoft says the laptop has been designed for creators, developers, AI researchers and professionals who need high-performance computing in a portable form factor.RTX Spark: The chip at the centre of Microsoft's AI pushThe biggest talking point is Nvidia's RTX Spark processor.According to Microsoft and Nvidia, the chip can feature:Up to 20 CPU coresUp to 6,144 GPU coresUp to 128GB unified memoryAI performance approaching 1 petaflopDedicated AI acceleration capabilitiesThe architecture is based on technology previously used in Nvidia's DGX Spark systems for AI developers. It has now been adapted for Windows devices, allowing advanced AI applications to run locally on the machine rather than relying entirely on cloud infrastructure. Industry observers see this as part of a wider trend where AI workloads are increasingly moving closer to the user rather than being processed exclusively in remote data centres.<h2>Designed for AI, creators and developers</h2>Microsoft says the Surface Laptop Ultra has been built for users handling demanding workloads such as AI model development, video editing, software development, 3D design and content creation. The company claims graphics performance is comparable to laptops equipped with Nvidia RTX 5070-class hardware, while AI processing capabilities are designed to support increasingly complex local AI applications. As businesses and consumers adopt more AI-powered tools, hardware manufacturers are focusing on devices capable of running these workloads efficiently without sacrificing portability.<h2>Display, design and battery life</h2>The Surface Laptop Ultra features a 15-inch mini-LED display with a pixel density of 262 pixels per inch. Microsoft says it is the brightest display ever used in a Surface device, with peak HDR brightness reaching 2,000 nits. The company has also introduced its largest Surface trackpad to date, complete with haptic feedback technology. The laptop weighs around 2 kilograms and will be available in silver and dark grey finishes.Microsoft also says the device is designed to deliver all-day battery life, although detailed battery performance figures have not yet been released.<h2>Ports and connectivity</h2> Unlike many premium laptops that have reduced port options, the Surface Laptop Ultra includes a broad selection of connectivity features.The company has confirmed support for:USB-C USB-A HDMI Full-size SD card slot 3.5mm headphone jackMicrosoft has not yet disclosed the full technical specifications for these ports, including transfer speeds and supported standards.<h2>Why this launch matters</h2>The launch is important not only because of the hardware itself but also because it highlights a deeper partnership between Microsoft and Nvidia. The two companies have spent years working on Windows on Arm and AI-focused computing. The Surface Laptop Ultra is one of the first major products to emerge from that collaboration. It also reflects a growing industry shift towards AI PCs. Companies including Microsoft, Apple, Qualcomm, AMD and Intel are all investing heavily in devices designed specifically for artificial intelligence workloads.Rather than focusing only on traditional performance metrics, manufacturers are increasingly highlighting AI processing power, memory bandwidth and on-device AI capabilities.<h2>More RTX Spark devices are expected</h2>Microsoft has indicated that the Surface Laptop Ultra will not be the only product based on Nvidia's RTX Spark platform. According to the companies, the architecture is expected to appear in additional laptops and compact desktop systems in the future. This suggests that RTX Spark could become a broader ecosystem rather than a single flagship device.As AI becomes a larger part of everyday computing, Microsoft and Nvidia appear to be positioning themselves at the centre of the next generation of personal computers. The Surface Laptop Ultra is expected to launch later in 2026, although Microsoft has not yet announced pricing or exact availability dates. For now, the announcement provides a glimpse into how Microsoft sees the future of computing: powerful AI capabilities running directly on devices, supported by specialised hardware and deep integration between software and silicon. Whether the Surface Laptop Ultra can reshape the Windows laptop market remains to be seen, but it clearly signals Microsoft's determination to compete aggressively in the emerging AI PC era.&nbsp;

Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date. 

Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date. The announcement marks a significant step in Microsoft's AI PC strategy as the company looks to bring advanced artificial intelligence capabilities directly onto personal computers.

Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date.&nbsp;

Microsoft unveils Surface Laptop Ultra with Nvidia RTX Spark chip: Key things to know

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

Nvidia on Monday (Jun 1) unveiled a powerful laptop chip for Windows laptops, entering the market for AI-powered PC that is dominated by established players such as Intel, AMD and Qualcomm. The move marks Nvidia’s most significant push into personal computing in more than a decade and comes as the company seeks to extend its dominance beyond data centres and into devices.According to analysts, Nvidia’s entry into the personal computer processor market puts it in direct competition with industry heavyweights such as Apple, Intel and AMD. However, they expect the AI-focused devices to launch at premium price points. Although the company also plans to introduce more affordable versions of the technology in the future.The move also reflects Nvidia's broader strategy to expand beyond its dominant data centre business and strengthen its presence in the consumer technology market. The company, which has emerged as the world’s most valuable firm amid the artificial intelligence boom, continues to benefit from surging demand for its AI chips from major global technology companies.Speaking at the Computex technology exhibition, Nvidia CEO Jensen Huang described the new RTX Spark Superchip as a transformative step for personal computing.“Microsoft and Nvidia are going to reinvent the PC. This is going to be the new PC,” Huang said during the launch event.Highlighting the system’s capabilities, Huang said the platform would be powerful enough to handle a wide range of demanding workloads, from digital biology and seismic analysis to astrophysics research.“If you want to run digital biology, no problem. If you want to do seismic processing, no problem. You want astrophysics, no problem,” Huang said.He added that years of collaboration between Microsoft and Nvidia had resulted in a platform capable of running virtually all existing software while also supporting advanced AI agents and next-generation artificial intelligence applications.“Microsoft and Nvidia meticulously optimised everything so that this computer literally runs everything the world has ever created, while also enabling powerful AI agents,” Huang said, calling it “an incredible computer.”

Nvidia unveils AI-powered laptop chip for Windows PCs, challenging Intel, AMD and Qualcomm, as CEO Jensen Huang calls it the “new PC” revolution.

Nvidia on Monday (Jun 1) unveiled a powerful laptop chip for Windows laptops, entering the market for AI-powered PC that is dominated by established players such as Intel, AMD and Qualcomm. The move marks Nvidia’s most significant push into personal computing in more than a decade and comes as the company seeks to extend its dominance beyond data centres and into devices. According to analysts, Nvidia’s entry into the personal computer processor market puts it in direct competition with industry heavyweights such as Apple, Intel and AMD. However, they expect the AI-focused devices to launch at premium price points. Although the company also plans to introduce more affordable versions of the technology in the future. The move also reflects Nvidia's broader strategy to expand beyond its dominant data centre business and strengthen its presence in the consumer technology market. The company, which has emerged as the world’s most valuable firm amid the artificial intelligence boom, continues to benefit from surging demand for its AI chips from major global technology companies. Speaking at the Computex technology exhibition, Nvidia CEO Jensen Huang described the new RTX Spark Superchip as a transformative step for personal computing. “Microsoft and Nvidia are going to reinvent the PC. This is going to be the new PC,” Huang said during the launch event. Highlighting the system’s capabilities, Huang said the platform would be powerful enough to handle a wide range of demanding workloads, from digital biology and seismic analysis to astrophysics research. “If you want to run digital biology, no problem. If you want to do seismic processing, no problem. You want astrophysics, no problem,” Huang said. He added that years of collaboration between Microsoft and Nvidia had resulted in a platform capable of running virtually all existing software while also supporting advanced AI agents and next-generation artificial intelligence applications. “Microsoft and Nvidia meticulously optimised everything so that this computer literally runs everything the world has ever created, while also enabling powerful AI agents,” Huang said, calling it “an incredible computer.”

Nvidia unveils AI-powered laptop chip for Windows PCs, challenging Intel, AMD and Qualcomm, as CEO Jensen Huang calls it the “new PC” revolution.

‘Reinventing PC’: Nvidia unveils new chip for Windows laptops, challenging Intel, AMD

Nvidia CEO Jensen Huang has gone viral after videos showed him dancing alongside employees during a company event in Taipei, Taiwan.The clips, which have been widely shared across social media platforms, show Huang joining staff members on stage during Nvidia's Constellation All-Employee Celebration. The videos quickly attracted attention online, with many users praising the technology executive's relaxed and approachable personality. The moment comes at a time when Nvidia remains one of the most closely watched companies in the global artificial intelligence industry, making Huang one of the most recognised business leaders in the world.

<blockquote class="twitter-tweet" data-media-max-width="560">🇺🇸Jensen Huang is out there living his best life, dancing at the NVIDIA all-employee celebration event in Taipei, Taiwan You&#39;d never guess he&#39;s the CEO 😂<a href="https://t.co/LsLTsMfPqd">pic.twitter.com/LsLTsMfPqd</a>&mdash; Mario Nawfal (@MarioNawfal) <a href="https://x.com/MarioNawfal/status/2060683137324126491?ref_src=twsrc%5Etfw">May 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>What happened at the Nvidia event?</h2>During the employee celebration in Taipei, Huang stepped onto the stage and joined a dance performance with Nvidia staff members. Videos from the event show the Nvidia chief matching dance moves with employees while interacting with the audience. The performance drew applause and cheers from attendees and soon spread across social media platforms including X and Instagram. Many viewers were surprised to see the leader of one of the world's most valuable technology companies taking part in such a light-hearted moment.The clips quickly generated millions of views and became one of the most discussed moments from Nvidia's activities in Taiwan this week.<h2>Why are people talking about the video?</h2>Much of the online reaction focused on Huang's leadership style and his relationship with employees. Many users said the video reflected a workplace culture where senior leadership remains accessible and engaged with staff. Others pointed to the contrast between Huang's role as the head of a company worth trillions of dollars and his willingness to participate in informal employee activities.Comments on social media described Huang as "down-to-earth", while others said the video showed a more personal side of one of the technology industry's most influential figures. The reaction also reflects Huang's growing popularity beyond the technology sector. Over the past two years, his public profile has risen significantly alongside Nvidia's success in artificial intelligence and advanced computing.<h2>How Jensen Huang became one of tech's most recognisable leaders</h2>Huang co-founded NVIDIA in 1993 and has led the company for more than three decades. Under his leadership, Nvidia transformed from a graphics chip manufacturer into one of the most important companies powering the global AI boom. The company's processors are widely used for training and running advanced artificial intelligence models. As demand for AI computing increased, Nvidia's market value surged, making it one of the world's most valuable publicly traded companies. Unlike many technology executives, Huang has also become known for his public appearances, interactions with customers and regular engagement with employees.The viral dance video is not the first time Huang has attracted attention outside the boardroom During previous visits to Asia, he has been seen participating in cultural activities, visiting local markets and interacting with the public. In Taiwan, he has frequently been spotted at popular night markets and restaurants, where crowds often gather to take photographs and speak with him.These appearances have helped build his reputation as one of the more approachable leaders in the technology industry. Industry observers say Huang's public image has become an important part of Nvidia's brand as the company continues expanding its influence across AI, cloud computing and data centre technologies. Huang is currently in Taiwan attending major artificial intelligence events and meetings with industry leaders. According to local reports, he is expected to travel to South Korea next week, where he will meet executives from companies including SK Group, Hyundai Motor Group, LG Corp and Naver. Discussions are expected to focus on AI infrastructure, robotics, semiconductor technology and the future of physical AI systems. These meetings come as countries and companies across Asia continue investing heavily in artificial intelligence and next-generation computing technologies.

Nvidia CEO Jensen Huang has gone viral after videos showed him dancing alongside employees during a company event in Taipei, Taiwan.


Nvidia CEO Jensen Huang has gone viral after videos showed him dancing alongside employees during a company event in Taipei, Taiwan. The clips, which have been widely shared across social media platforms, show Huang joining staff members on stage during Nvidia's Constellation All-Employee Celebration. The videos quickly attracted attention online, with many users praising the technology executive's relaxed and approachable personality. The moment comes at a time when Nvidia remains one of the most closely watched companies in the global artificial intelligence industry, making Huang one of the most recognised business leaders in the world.

Nvidia CEO Jensen Huang has gone viral after videos showed him dancing alongside employees during a company event in Taipei, Taiwan.

Nvidia CEO Jensen Huang goes viral after dancing with employees in Taiwan

Grand Theft Auto VI remains one of the most anticipated video games in the world, and fans are now closely watching for any signs of Trailer 3 after Rockstar Games released its second trailer in May 2025.While several rumours continue circulating online, only a limited amount of information has been officially confirmed by Rockstar Games and parent company Take-Two Interactive. Here is a look at what is confirmed, what remains speculation, and what players can realistically expect before launch.<h2>When is GTA 6 releasing?</h2>Rockstar Games has officially confirmed that GTA 6 is scheduled to launch on November 19, 2026. The company first delayed the game to May 26, 2026 before later moving the release date again to November 19, 2026. Rockstar said the additional development time was needed to reach the quality standards expected by players. Take-Two Interactive CEO Strauss Zelnick has also recently reaffirmed that the November 2026 launch remains on track, while confirming that the game's major marketing campaign will begin during summer 2026.<h2>Will GTA 6 Trailer 3 release in June?</h2>There is currently no official confirmation from Rockstar Games regarding Trailer 3. However, speculation has increased because Take-Two has already said GTA 6's larger marketing campaign will begin during summer 2026. Some gaming analysts believe Rockstar may release another trailer around major gaming events or during the early stages of its marketing push.At the moment, reports suggesting a June trailer remain rumours. Rockstar has not announced any date for Trailer 3.<h2>What do we know about GTA 6's story?</h2>Rockstar has officially confirmed two main protagonists:Lucia Caminos Jason DuvalThe game's story appears to follow a Bonnie-and-Clyde-style criminal partnership as the pair navigate the fictional state of Leonida, Rockstar's version of Florida. Trailer 2 provided a closer look at their relationship, criminal activities and personal lives. Many rumours claim Trailer 3 could focus more heavily on Jason's background and criminal connections, but Rockstar has not confirmed these reports.<h2>What locations will GTA 6 include?</h2>The game is set in Leonida, a large fictional state inspired by Florida. Vice City returns as one of the major locations, but Rockstar has already confirmed the map extends far beyond the city itself. Previous trailers and screenshots have shown:Vice City Beaches and coastal areas Swamps and wetlands Rural towns Airports National park regions Industrial zonesGaming analysts expect GTA 6 to feature Rockstar's largest open world to date, although the company has not officially revealed the full map size.<h2>What gameplay features could appear in Trailer 3?</h2>Several leaks and rumours suggest Rockstar may showcase more gameplay systems in its next trailer.Fans are hoping to see:Vehicle customisation Robbery mechanics Improved police AI Expanded NPC interactions Weapon wheel upgrades Inventory systems Gym and shopping activities Social media features inside the game worldSome reports also suggest GTA 6 could include influencer-style characters, livestreams and viral content integrated into the game's fictional internet ecosystem. However, none of these features have been officially confirmed by Rockstar.<h2>GTA 6 graphics and technology</h2>One of the biggest talking points around GTA 6 has been its graphics. After Trailer 2 launched in May 2025, some viewers questioned whether the visuals were actually running on a console. Rockstar later clarified that the footage was captured on a PlayStation 5 and included both gameplay and cutscenes. The trailer broke multiple viewing records and generated hundreds of millions of views across platforms within 24 hours. Industry experts expect GTA 6 to become one of the most technically advanced open-world games ever released.<h2>GTA 6 pricing in India?</h2>Rockstar Games has not officially announced pricing for GTA 6. Several reports and online leaks have suggested potential pricing for different editions, but these figures remain unconfirmed. Industry analysts expect GTA 6 to be priced higher than many current-generation games due to its development scale and long production cycle. However, official Indian pricing will likely be revealed closer to launch.<h2>Will GTA 6 release on PC?</h2>At present, Rockstar has only confirmed GTA 6 for:PlayStation 5 Xbox Series X Xbox Series SNo official PC release date has been announced. Based on Rockstar's previous launch strategy with titles like GTA V and Red Dead Redemption 2, many analysts expect a PC version to arrive later, but the company has not confirmed any timeline.<h2>Why GTA 6 is generating so much attention</h2>The excitement around GTA 6 comes from the enormous success of previous Rockstar Games titles. GTA V became one of the best-selling entertainment products in history, generating billions of dollars in revenue and remaining popular more than a decade after launch. Industry observers believe GTA 6 could become one of the biggest game launches ever. The game has also influenced release plans across the wider gaming industry, with several publishers reportedly avoiding launch windows that could directly compete with Rockstar's next title.

Grand Theft Auto VI remains one of the most anticipated video games in the world, and fans are now closely watching for any signs of Trailer 3 after Rockstar Games released its second trailer in May 2025.


Grand Theft Auto VI remains one of the most anticipated video games in the world, and fans are now closely watching for any signs of Trailer 3 after Rockstar Games released its second trailer in May 2025. While several rumours continue circulating online, only a limited amount of information has been officially confirmed by Rockstar Games and parent company Take-Two Interactive. Here is a look at what is confirmed, what remains speculation, and what players can realistically expect before launch. When is GTA 6 releasing? Rockstar Games has officially confirmed that GTA 6 is scheduled to launch on November 19, 2026. The company first delayed the game to May 26, 2026 before later moving the release date again to November 19, 2026. Rockstar said the additional development time was needed to reach the quality standards expected by players. Take-Two Interactive CEO Strauss Zelnick has also recently reaffirmed that the November 2026 launch remains on track, while confirming that the game's major marketing campaign will begin during summer 2026. Will GTA 6 Trailer 3 release in June? There is currently no official confirmation from Rockstar Games regarding Trailer 3. However, speculation has increased because Take-Two has already said GTA 6's larger marketing campaign will begin during summer 2026. Some gaming analysts believe Rockstar may release another trailer around major gaming events or during the early stages of its marketing push. At the moment, reports suggesting a June trailer remain rumours. Rockstar has not announced any date for Trailer 3. What do we know about GTA 6's story? Rockstar has officially confirmed two main protagonists: Lucia Caminos Jason Duval The game's story appears to follow a Bonnie-and-Clyde-style criminal partnership as the pair navigate the fictional state of Leonida, Rockstar's version of Florida. Trailer 2 provided a closer look at their relationship, criminal activities and personal lives. Many rumours claim Trailer 3 could focus more heavily on Jason's background and criminal connections, but Rockstar has not confirmed these reports. What locations will GTA 6 include? The game is set in Leonida, a large fictional state inspired by Florida. Vice City returns as one of the major locations, but Rockstar has already confirmed the map extends far beyond the city itself. Previous trailers and screenshots have shown: Vice City Beaches and coastal areas Swamps and wetlands Rural towns Airports National park regions Industrial zones Gaming analysts expect GTA 6 to feature Rockstar's largest open world to date, although the company has not officially revealed the full map size. What gameplay features could appear in Trailer 3? Several leaks and rumours suggest Rockstar may showcase more gameplay systems in its next trailer. Fans are hoping to see: Vehicle customisation Robbery mechanics Improved police AI Expanded NPC interactions Weapon wheel upgrades Inventory systems Gym and shopping activities Social media features inside the game world Some reports also suggest GTA 6 could include influencer-style characters, livestreams and viral content integrated into the game's fictional internet ecosystem. However, none of these features have been officially confirmed by Rockstar. GTA 6 graphics and technology One of the biggest talking points around GTA 6 has been its graphics. After Trailer 2 launched in May 2025, some viewers questioned whether the visuals were actually running on a console. Rockstar later clarified that the footage was captured on a PlayStation 5 and included both gameplay and cutscenes. The trailer broke multiple viewing records and generated hundreds of millions of views across platforms within 24 hours. Industry experts expect GTA 6 to become one of the most technically advanced open-world games ever released. GTA 6 pricing in India? Rockstar Games has not officially announced pricing for GTA 6. Several reports and online leaks have suggested potential pricing for different editions, but these figures remain unconfirmed. Industry analysts expect GTA 6 to be priced higher than many current-generation games due to its development scale and long production cycle. However, official Indian pricing will likely be revealed closer to launch. Will GTA 6 release on PC? At present, Rockstar has only confirmed GTA 6 for: PlayStation 5 Xbox Series X Xbox Series S No official PC release date has been announced. Based on Rockstar's previous launch strategy with titles like GTA V and Red Dead Redemption 2, many analysts expect a PC version to arrive later, but the company has not confirmed any timeline. Why GTA 6 is generating so much attention The excitement around GTA 6 comes from the enormous success of previous Rockstar Games titles. GTA V became one of the best-selling entertainment products in history, generating billions of dollars in revenue and remaining popular more than a decade after launch. Industry observers believe GTA 6 could become one of the biggest game launches ever. The game has also influenced release plans across the wider gaming industry, with several publishers reportedly avoiding launch windows that could directly compete with Rockstar's next title.

Grand Theft Auto VI remains one of the most anticipated video games in the world, and fans are now closely watching for any signs of Trailer 3 after Rockstar Games released its second trailer in May 2025.

Is Rockstar Games releasing the next GTA 6 trailer in June? Here are the biggest clues so far

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Is GTA 6 Trailer 3 coming in June? What Rockstar Games has revealed so far