<p>“AGI has arrived.” That is the striking verdict from Nvidia CEO Jensen Huang following OpenAI’s launch of GPT-6 Astra.</p><p>&nbsp;</p><p>Huang said Astra marks the arrival of artificial general intelligence (AGI), the long-discussed idea of AI capable of handling a broad range of intellectual tasks rather than being limited to one specific job. His claim is significant, but it is not an industry-wide certification. There is no universally accepted test that officially declares an AI model to be AGI. The statement has also revived a bigger question: if AI can increasingly perform work that once required humans, how much will the workplace change?</p><p>&nbsp;</p><h2><strong>Why Jensen Huang says AGI has arrived</strong></h2><p>Huang pointed to the extraordinary computing power behind Astra. According to his post, the model was developed using more than 100,000 Nvidia Grace Blackwell NVLink72 systems over roughly four years of rapid AI development. He also said 400,000 more Nvidia GPUs are coming online. OpenAI has highlighted Astra’s performance across demanding tests. The company says the model reached 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. Those results show major progress, but benchmark scores alone do not prove that a model has achieved human-level intelligence across the real world.</p><p>&nbsp;</p><h2><strong>Is this the beginning of an AI job crisis?</strong></h2><p>That is where the AGI debate becomes much more important for ordinary workers. A genuinely general AI system could potentially handle a wider range of tasks across coding, research, analysis, administration and other knowledge work.</p><p>But AGI does not automatically mean mass unemployment. The immediate impact will depend on how reliably companies can use systems such as Astra, how much they cost, and whether businesses use AI to replace workers, increase productivity or create new roles.</p><p>&nbsp;</p><h2><strong>Why 400,000 GPUs matter</strong></h2><p>The enormous computing buildout is another signal that the AI race is nowhere near finished. Moving from a training run involving more than 100,000 GPUs towards hundreds of thousands more means huge demands for data centres, electricity, networking and investment.</p><p>&nbsp;</p><p>For Nvidia, that could mean continued demand for its AI infrastructure. But it also raises the stakes. Companies will need to prove that increasingly expensive AI systems deliver enough real-world value to justify the spending. Huang may believe AGI has already arrived. The more important test for everyone else will be what happens next in laboratories, businesses and, ultimately, the workplace.</p>

Nvidia CEO Jensen Huang has declared that “AGI has arrived” following OpenAI’s GPT-6 Astra launch. He points to a training run using more than 100,000 Nvidia systems and says another 400,000 GPUs are coming online, intensifying debate over AI, jobs and the future of work.

“AGI has arrived.” That is the striking verdict from Nvidia CEO Jensen Huang following OpenAI’s launch of GPT-6 Astra. Huang said Astra marks the arrival of artificial general intelligence (AGI), the long-discussed idea of AI capable of handling a broad range of intellectual tasks rather than being limited to one specific job. His claim is significant, but it is not an industry-wide certification. There is no universally accepted test that officially declares an AI model to be AGI. The statement has also revived a bigger question: if AI can increasingly perform work that once required humans, how much will the workplace change? Why Jensen Huang says AGI has arrived Huang pointed to the extraordinary computing power behind Astra. According to his post, the model was developed using more than 100,000 Nvidia Grace Blackwell NVLink72 systems over roughly four years of rapid AI development. He also said 400,000 more Nvidia GPUs are coming online. OpenAI has highlighted Astra’s performance across demanding tests. The company says the model reached 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. Those results show major progress, but benchmark scores alone do not prove that a model has achieved human-level intelligence across the real world. Is this the beginning of an AI job crisis? That is where the AGI debate becomes much more important for ordinary workers. A genuinely general AI system could potentially handle a wider range of tasks across coding, research, analysis, administration and other knowledge work. But AGI does not automatically mean mass unemployment. The immediate impact will depend on how reliably companies can use systems such as Astra, how much they cost, and whether businesses use AI to replace workers, increase productivity or create new roles. Why 400,000 GPUs matter The enormous computing buildout is another signal that the AI race is nowhere near finished. Moving from a training run involving more than 100,000 GPUs towards hundreds of thousands more means huge demands for data centres, electricity, networking and investment. For Nvidia, that could mean continued demand for its AI infrastructure. But it also raises the stakes. Companies will need to prove that increasingly expensive AI systems deliver enough real-world value to justify the spending. Huang may believe AGI has already arrived. The more important test for everyone else will be what happens next in laboratories, businesses and, ultimately, the workplace.

<p>Nvidia CEO Jensen Huang has declared that “AGI has arrived” following OpenAI’s GPT-6 Astra launch. He points to a training run using more than 100,000 Nvidia systems and says another 400,000 GPUs are coming online, intensifying debate over AI, jobs and the future of work.</p>

‘AGI has arrived’: Nvidia CEO says Astra is AGI! Layoff apocalypse now closer than you think

<p>DeepSeek founder Liang Wenfeng has laid out an unusually ambitious vision for the Chinese AI company: focus on artificial general intelligence (AGI), keep commercialisation secondary and help build an AI ecosystem less dependent on Nvidia. His remarks emerged from a lengthy discussion with investors and offer a rare look at how the normally low-profile entrepreneur thinks about the global AI race. While companies across the industry are spending heavily to turn AI into profitable products, Liang said DeepSeek's main objective remains AGI broadly referring to AI capable of performing intellectual tasks across many areas at or beyond human level.</p><h2><strong>DeepSeek wants the 'watermelon', not the 'sesame seeds'</strong></h2><p>Liang compared near-term revenue opportunities with “sesame seeds”, suggesting DeepSeek will pick some up without allowing them to distract the company from a much bigger prize. “Our goal should be AGI,” he said. The philosophy does not mean DeepSeek will ignore commercial opportunities. Rather, Liang argues that building more advanced intelligence should take priority over maximising revenue from today's products. He described AI development as a staircase. Language models provide the foundation for reasoning, reasoning enables more capable agents, and future systems could eventually learn and improve continuously. If an AI system can help develop its own successor, Liang believes progress could accelerate dramatically.</p><h2><strong>Why Liang thinks Nvidia is 'digging its own grave'</strong></h2><p>Perhaps his most provocative remarks concerned Nvidia. US restrictions have limited Chinese companies' access to some of Nvidia's most advanced AI hardware. But Liang argues that those restrictions are creating a powerful incentive for China to develop alternatives. “If Nvidia cards can't be bought, everyone is forced into it everyone has to do domestic chips,” he said. Liang went further, saying he believes “Nvidia is digging its own grave” by creating conditions that encourage Chinese companies to reduce their dependence on its hardware. DeepSeek is working closely with Huawei and expects to participate deeply in its AI computing ecosystem.</p><h2><strong>Can Huawei really replace Nvidia?</strong></h2><p>Liang's comments should not be mistaken for a claim that China has already eliminated Nvidia's technological advantage. He acknowledged a substantial efficiency gap, saying roughly four Huawei chips may be needed for the work of one comparable Nvidia chip, while China's hardware remains about two years behind. His broader argument is about direction rather than today's outright performance. DeepSeek has already demonstrated an interest in designing its software around hardware limitations. Its researchers have previously detailed how DeepSeek-V3 was trained using 2,048 Nvidia H800 GPUs while relying on several hardware-aware efficiency techniques. Liang believes the same pressure could ultimately produce a broader Chinese AI ecosystem built around domestic chips, open models and lower prices. That would turn Washington's restrictions into something of a long-term gamble: limiting China's access to America's best AI hardware today could also give Chinese companies a powerful reason to make sure they need less of it tomorrow.</p>

DeepSeek founder Liang Wenfeng says AGI, not short-term profit, remains the company's main goal. He also argues that US restrictions on Nvidia chips are accelerating China's push towards domestic AI hardware, with DeepSeek working closely with Huawei.


DeepSeek founder Liang Wenfeng has laid out an unusually ambitious vision for the Chinese AI company: focus on artificial general intelligence (AGI), keep commercialisation secondary and help build an AI ecosystem less dependent on Nvidia. His remarks emerged from a lengthy discussion with investors and offer a rare look at how the normally low-profile entrepreneur thinks about the global AI race. While companies across the industry are spending heavily to turn AI into profitable products, Liang said DeepSeek's main objective remains AGI broadly referring to AI capable of performing intellectual tasks across many areas at or beyond human level. DeepSeek wants the 'watermelon', not the 'sesame seeds' Liang compared near-term revenue opportunities with “sesame seeds”, suggesting DeepSeek will pick some up without allowing them to distract the company from a much bigger prize. “Our goal should be AGI,” he said. The philosophy does not mean DeepSeek will ignore commercial opportunities. Rather, Liang argues that building more advanced intelligence should take priority over maximising revenue from today's products. He described AI development as a staircase. Language models provide the foundation for reasoning, reasoning enables more capable agents, and future systems could eventually learn and improve continuously. If an AI system can help develop its own successor, Liang believes progress could accelerate dramatically. Why Liang thinks Nvidia is 'digging its own grave' Perhaps his most provocative remarks concerned Nvidia. US restrictions have limited Chinese companies' access to some of Nvidia's most advanced AI hardware. But Liang argues that those restrictions are creating a powerful incentive for China to develop alternatives. “If Nvidia cards can't be bought, everyone is forced into it everyone has to do domestic chips,” he said. Liang went further, saying he believes “Nvidia is digging its own grave” by creating conditions that encourage Chinese companies to reduce their dependence on its hardware. DeepSeek is working closely with Huawei and expects to participate deeply in its AI computing ecosystem. Can Huawei really replace Nvidia? Liang's comments should not be mistaken for a claim that China has already eliminated Nvidia's technological advantage. He acknowledged a substantial efficiency gap, saying roughly four Huawei chips may be needed for the work of one comparable Nvidia chip, while China's hardware remains about two years behind. His broader argument is about direction rather than today's outright performance. DeepSeek has already demonstrated an interest in designing its software around hardware limitations. Its researchers have previously detailed how DeepSeek-V3 was trained using 2,048 Nvidia H800 GPUs while relying on several hardware-aware efficiency techniques. Liang believes the same pressure could ultimately produce a broader Chinese AI ecosystem built around domestic chips, open models and lower prices. That would turn Washington's restrictions into something of a long-term gamble: limiting China's access to America's best AI hardware today could also give Chinese companies a powerful reason to make sure they need less of it tomorrow.

<p>DeepSeek founder Liang Wenfeng says AGI, not short-term profit, remains the company's main goal. He also argues that US restrictions on Nvidia chips are accelerating China's push towards domestic AI hardware, with DeepSeek working closely with Huawei.</p>

'Nvidia is digging its own grave': DeepSeek CEO backs China's AI chip push

<p>Fidji Simo announced on Thursday (Jul 9) that she was stepping down from her full-time role at OpenAI as CEO of Artificial General Intelligence (AGI) Deployment due to health issues, transitioning to a part-time adviser role. Simo has postural orthostatic tachycardia syndrome (POTS), a neuroimmune condition she has lived with for about seven years after being diagnosed around 2019. She has described experiencing severe flare-ups requiring ongoing treatment and management. Who is Fidji Simo, what is POTS, and how did her diagnosis make her an advocate of AI for tackling such rare diseases?</p><h2>About Fidji Simo, who is exiting as OpenAI AGI CEO</h2><p>Fidji Simo, born on 5 October 1985, is a French-American business executive. She grew up in Sète, a small fishing town in southern France, and was the first in her family to graduate high school. She later earned a Master of Science in Management from HEC Paris and spent her final year at the UCLA Anderson School of Management.</p><p>Simo joined Facebook- now Meta Platforms- &nbsp;in 2011, eventually becoming head of the Facebook app and a key aide of founder-CEO Mark Zuckerberg. From 2021 to 2025, she served as CEO of grocery delivery company Instacart. She joined OpenAI's board in March 2024 and was appointed the company's first CEO of Applications in May 2025, later retitled CEO of AGI Deployment. Reporting to OpenAI CEO Sam Altman, she oversaw product, engineering, operations and business teams. She has also served on the boards of Shopify and Cirque du Soleil, among others.</p><p>Also read: <a href="https://www.wionews.com/entertainment/samantha-ruth-prabhu-opens-up-about-health-struggles-amid-myositis-diagnosis-691838">Samantha Ruth Prabhu opens up about health struggles amid Myositis diagnosis</a></p><h2>What is postural orthostatic tachycardia syndrome (POTS) which Fidgi Simo is suffering from?</h2><p>Postural orthostatic tachycardia syndrome or POTS is a disorder of the autonomic nervous system that affects heart rate, blood circulation and other involuntary body functions. It is marked by an unusually rapid increase in heart rate when standing. Common symptoms include dizziness, light-headedness, fatigue, fainting, chest pain, nausea, heart palpitations and difficulty standing for long periods. POTS often overlaps with conditions such as myalgic encephalomyelitis or chronic fatigue syndrome (CFS), migraines and Long COVID. Around 80 per cent of diagnosed cases occur in women, and the condition is often underdiagnosed.</p><p>Simo has said she consulted nearly 40 specialists before receiving a diagnosis, highlighting the difficulties many patients face in obtaining appropriate care.</p><p>Also read: <a href="https://www.wionews.com/entertainment/hollywood/the-boys-actress-erin-moriarty-reveals-graves-disease-diagnosis-go-get-checked-1749954958809">The Boys actress Erin Moriarty reveals Graves disease diagnosis: Go get checked...'</a></p><h2>How Fidgi Simo managed POTS while on a high-flying career</h2><p>Simo has spoken publicly about living with POTS to raise awareness and reduce stigma around chronic illnesses. She managed the condition through medical treatment and lifestyle adjustments, including exercise, sleep, nutrition and avoiding known triggers, while continuing to lead major technology companies. However, a severe flare-up in early 2026 led to medical leave in April, and her recovery took longer than expected, prompting her to step down from her full-time position.</p><p><a href="https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed">https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed</a></p><p>Based on her experiences, Simo also became an advocate for neuroimmune research. She co-founded the Metrodora Institute and ChronicleBio, and serves as president of the non-profit Complex Disorders Alliance (CODA), supporting research, improved diagnosis and better treatments for conditions such as POTS and CFS. She has also highlighted the potential of AI to improve care for patients with complex chronic illnesses.</p>

OpenAI executive Fidji Simo is stepping down from her full-time role as the firm's AGI CEO, after a severe POTS flare-up. Here's who she is, what postural orthostatic tachycardia syndrome is, its symptoms and how she managed it alongside a busy career.

Fidji Simo announced on Thursday (Jul 9) that she was stepping down from her full-time role at OpenAI as CEO of Artificial General Intelligence (AGI) Deployment due to health issues, transitioning to a part-time adviser role. Simo has postural orthostatic tachycardia syndrome (POTS), a neuroimmune condition she has lived with for about seven years after being diagnosed around 2019. She has described experiencing severe flare-ups requiring ongoing treatment and management. Who is Fidji Simo, what is POTS, and how did her diagnosis make her an advocate of AI for tackling such rare diseases? About Fidji Simo, who is exiting as OpenAI AGI CEO Fidji Simo, born on 5 October 1985, is a French-American business executive. She grew up in Sète, a small fishing town in southern France, and was the first in her family to graduate high school. She later earned a Master of Science in Management from HEC Paris and spent her final year at the UCLA Anderson School of Management. Simo joined Facebook- now Meta Platforms- in 2011, eventually becoming head of the Facebook app and a key aide of founder-CEO Mark Zuckerberg. From 2021 to 2025, she served as CEO of grocery delivery company Instacart. She joined OpenAI's board in March 2024 and was appointed the company's first CEO of Applications in May 2025, later retitled CEO of AGI Deployment. Reporting to OpenAI CEO Sam Altman, she oversaw product, engineering, operations and business teams. She has also served on the boards of Shopify and Cirque du Soleil, among others. Also read: Samantha Ruth Prabhu opens up about health struggles amid Myositis diagnosis What is postural orthostatic tachycardia syndrome (POTS) which Fidgi Simo is suffering from? Postural orthostatic tachycardia syndrome or POTS is a disorder of the autonomic nervous system that affects heart rate, blood circulation and other involuntary body functions. It is marked by an unusually rapid increase in heart rate when standing. Common symptoms include dizziness, light-headedness, fatigue, fainting, chest pain, nausea, heart palpitations and difficulty standing for long periods. POTS often overlaps with conditions such as myalgic encephalomyelitis or chronic fatigue syndrome (CFS), migraines and Long COVID. Around 80 per cent of diagnosed cases occur in women, and the condition is often underdiagnosed. Simo has said she consulted nearly 40 specialists before receiving a diagnosis, highlighting the difficulties many patients face in obtaining appropriate care. Also read: The Boys actress Erin Moriarty reveals Graves disease diagnosis: Go get checked...' How Fidgi Simo managed POTS while on a high-flying career Simo has spoken publicly about living with POTS to raise awareness and reduce stigma around chronic illnesses. She managed the condition through medical treatment and lifestyle adjustments, including exercise, sleep, nutrition and avoiding known triggers, while continuing to lead major technology companies. However, a severe flare-up in early 2026 led to medical leave in April, and her recovery took longer than expected, prompting her to step down from her full-time position. https://www.wionews.com/videos/on-quest-to-reverse-ageing-bryan-johnson-gets-diagnosed-with-incurable-disease-1783623424119/embed Based on her experiences, Simo also became an advocate for neuroimmune research. She co-founded the Metrodora Institute and ChronicleBio, and serves as president of the non-profit Complex Disorders Alliance (CODA), supporting research, improved diagnosis and better treatments for conditions such as POTS and CFS. She has also highlighted the potential of AI to improve care for patients with complex chronic illnesses.

<p>OpenAI executive Fidji Simo is stepping down from her full-time role as the firm's AGI CEO, after a severe POTS flare-up. Here's who she is, what postural orthostatic tachycardia syndrome is, its symptoms and how she managed it alongside a busy career.</p>

Fidji Simo to step down as OpenAI's AGI Deployment CEO due to POTS. Know more about the disease, symptoms and how she managed it

<p>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.</p><p>What does Demis Hassabis mean? Is it going to create the ‘robots taking over humans’ era? What kind of AGI is dangerous?</p><p><strong>Also read: </strong><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"><strong>Nvidia's next AI push: 5 biggest announcements from CEO Jensen Huang's GTC Taipei 2026 keynote</strong>&nbsp;</a></p><h2>AGI will be a civilizational inflection point for humanity</h2><p>&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.</p><p><strong>Also read: </strong><a href="https://www.wionews.com/technology/google-ai-solves-decades-old-maths-problems-but-deepmind-ceo-says-agi-is-still-far-away-1779695717629"><strong>Google AI solves decades-old maths problems, but DeepMind CEO says AGI is still far away</strong></a></p><h2>What are AGI capabilities now?&nbsp;</h2><p>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;</p><p>&nbsp;</p><p><strong>Also read: </strong><a href="https://www.wionews.com/photos/agi-vs-artificial-intelligence-what-s-the-real-difference-1775397711605"><strong>AGI vs Artificial Intelligence: What's the real difference</strong></a>&nbsp;</p><h2>Why is Artificial General Intelligence dangerous?</h2><p>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.</p>

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.

<p>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.</p>

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?

While narrow AI handles specific tasks with high accuracy, Artificial General Intelligence (AGI) aims to match close to 100 per cent of human cognitive abilities across all domains.


<p>While narrow AI handles specific tasks with high accuracy, Artificial General Intelligence (AGI) aims to match close to 100 per cent of human cognitive abilities across all domains.</p>

AGI vs artificial intelligence: What’s the real difference

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‘AGI has arrived’: Nvidia CEO says Astra is AGI! Layoff apocalypse now closer than you think

'Nvidia is digging its own grave': DeepSeek CEO backs China's AI chip push

Fidji Simo to exit as OpenAI's AGI CEO due to POTS. Know more about the disease

Why is Google DeepMind CEO warning about Artificial General Intelligence?

AGI vs artificial intelligence: What’s the real difference