Anthropic Has Filed Its Public Ipo Paperwork With u.s. Regulators, Bringing the Artificial Intelligence Company Closer to What Could Become One of the Biggest Stock Market Listings in History.

Anthropic moves closer to mega IPO

Anthropic has launched Claude Haiku 5.5, a new AI model designed to prioritise speed and lower operating costs rather than simply compete for the title of the most powerful model. Anthropic says Haiku 5.5 is its fastest model yet and costs about 75 per cent less to run than Haiku 4.5 on average.The model is aimed at the less glamorous but extremely high-volume side of AI — tasks such as summarising documents, classifying information, running database queries and handling customer support requests. For businesses processing thousands or millions of requests, even a small reduction in cost can make a major difference.<h2>Claude Haiku 5.5 focuses on speed</h2>Anthropic says Haiku 5.5 is particularly suited to situations where users cannot afford to wait for an AI response. That includes live customer support and browser-based AI applications, where faster responses can directly affect the user experience.The model can also work alongside Anthropic's larger Opus 5.5 and Sonnet 5.5 models.For coding and other complex workflows, Haiku 5.5 can act as a subagent, handling smaller or repetitive jobs while a more capable model focuses on the main task.<h2>New adjustable effort setting</h2>One of the notable additions is an adjustable effort setting.For the first time in Anthropic's Haiku range, developers can choose how much computational effort the model should use. They can prioritise faster, cheaper responses for straightforward jobs or allow the model to spend more resources when greater intelligence is needed. Anthropic also says Haiku 5.5 performed better in its alignment tests than Haiku 4.5, with fewer instances of behaviour it classified as misaligned and less willingness to cooperate with misuse.<h2>Anthropic cuts AI costs</h2>The biggest selling point may be the price. Anthropic says Haiku 5.5 is around 75 per cent cheaper to run than Haiku 4.5 on average. The company says it is particularly cost-effective for prompts of up to 100,000 tokens, which represented around 90 per cent of requests to its previous Haiku model. Anthropic is also cutting the price of Sonnet 5.5 cache reads by 50 per cent, from $0.20 to $0.10 per million tokens. The company says this could make Sonnet 5.5 around 20 per cent cheaper for most agentic tasks. Claude Haiku 5.5 is available now across Anthropic's platforms, as well as Amazon Web Services, Google Cloud and Microsoft Azure.For businesses building AI agents and high-volume applications, the message is clear: the next AI race may not only be about smarter models, but also about making millions of AI interactions affordable.

Anthropic has launched Claude Haiku 5.5, claiming it is the company’s fastest model and around 75 per cent cheaper to run than Haiku 4.5. It targets high-volume AI tasks and adds adjustable effort controls for balancing speed, intelligence and cost.

Anthropic has launched Claude Haiku 5.5, a new AI model designed to prioritise speed and lower operating costs rather than simply compete for the title of the most powerful model. Anthropic says Haiku 5.5 is its fastest model yet and costs about 75 per cent less to run than Haiku 4.5 on average. The model is aimed at the less glamorous but extremely high-volume side of AI — tasks such as summarising documents, classifying information, running database queries and handling customer support requests. For businesses processing thousands or millions of requests, even a small reduction in cost can make a major difference. Claude Haiku 5.5 focuses on speed Anthropic says Haiku 5.5 is particularly suited to situations where users cannot afford to wait for an AI response. That includes live customer support and browser-based AI applications, where faster responses can directly affect the user experience. The model can also work alongside Anthropic's larger Opus 5.5 and Sonnet 5.5 models. For coding and other complex workflows, Haiku 5.5 can act as a subagent, handling smaller or repetitive jobs while a more capable model focuses on the main task. New adjustable effort setting One of the notable additions is an adjustable effort setting. For the first time in Anthropic's Haiku range, developers can choose how much computational effort the model should use. They can prioritise faster, cheaper responses for straightforward jobs or allow the model to spend more resources when greater intelligence is needed. Anthropic also says Haiku 5.5 performed better in its alignment tests than Haiku 4.5, with fewer instances of behaviour it classified as misaligned and less willingness to cooperate with misuse. Anthropic cuts AI costs The biggest selling point may be the price. Anthropic says Haiku 5.5 is around 75 per cent cheaper to run than Haiku 4.5 on average. The company says it is particularly cost-effective for prompts of up to 100,000 tokens, which represented around 90 per cent of requests to its previous Haiku model. Anthropic is also cutting the price of Sonnet 5.5 cache reads by 50 per cent, from $0.20 to $0.10 per million tokens. The company says this could make Sonnet 5.5 around 20 per cent cheaper for most agentic tasks. Claude Haiku 5.5 is available now across Anthropic's platforms, as well as Amazon Web Services, Google Cloud and Microsoft Azure. For businesses building AI agents and high-volume applications, the message is clear: the next AI race may not only be about smarter models, but also about making millions of AI interactions affordable.

Anthropic has launched Claude Haiku 5.5, claiming it is the company’s fastest model and around 75 per cent cheaper to run than Haiku 4.5. It targets high-volume AI tasks and adds adjustable effort controls for balancing speed, intelligence and cost.

Anthropic launches Claude Haiku 5.5, claims it is 75% cheaper than previous model

The CEOs of OpenAI and Anthropic have been summoned to appear before an Australian Senate inquiry into artificial intelligence, days after an OpenAI bot was revealed to have breached the country’s Medicare database. OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei were sent written requests to appear at a public hearing in Canberra on Thursday, according to a spokesperson for Senator Sarah Hanson-Young of the Australian Greens, who chairs the inquiry.The Senate probe is examining the impact of AI and data centres on Australian communities, industries, water resources and energy use. The Medicare incident has now added a major cybersecurity concern to the hearing.“There are serious questions for Sam Altman to answer about the OpenAI hack of Australian government websites,” Hanson-Young said in a statement.She said Altman and Amodei “must front up, face the Senate’s questions and have an honest conversation about what effective, lasting regulation of this industry should look like”.<h2>Medicare breach raises concerns</h2>Australian Prime Minister Anthony Albanese revealed the Medicare breach on Thursday and described it as “unacceptable”. He said he had expressed “extreme concern” to Altman over the incident.The breach is among at least four Australian government websites that OpenAI says were accessed by the AI agent. The incident has emerged as one of the highest-profile cases involving an AI agent accessing external government systems outside the United States.OpenAI said it only became aware of the breach in August. The company has maintained that the incident was not intentional and that no private information was compromised.<h2>Pressure for tighter AI rules</h2>The incident could add pressure on Albanese’s government as Australia prepares AI-specific legislation for next year. Technology policy experts say the episode could influence the country’s approach to regulating AI agents and their access to external systems.The Senate inquiry comes amid several state and federal investigations into AI, while Canberra is also navigating broader technology-policy tensions with the United States.

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have been summoned by Australia’s Senate for an AI inquiry after an OpenAI bot breached government websites.

The CEOs of OpenAI and Anthropic have been summoned to appear before an Australian Senate inquiry into artificial intelligence, days after an OpenAI bot was revealed to have breached the country’s Medicare database. OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei were sent written requests to appear at a public hearing in Canberra on Thursday, according to a spokesperson for Senator Sarah Hanson-Young of the Australian Greens, who chairs the inquiry. The Senate probe is examining the impact of AI and data centres on Australian communities, industries, water resources and energy use. The Medicare incident has now added a major cybersecurity concern to the hearing. “There are serious questions for Sam Altman to answer about the OpenAI hack of Australian government websites,” Hanson-Young said in a statement. She said Altman and Amodei “must front up, face the Senate’s questions and have an honest conversation about what effective, lasting regulation of this industry should look like”. Medicare breach raises concerns Australian Prime Minister Anthony Albanese revealed the Medicare breach on Thursday and described it as “unacceptable”. He said he had expressed “extreme concern” to Altman over the incident. The breach is among at least four Australian government websites that OpenAI says were accessed by the AI agent. The incident has emerged as one of the highest-profile cases involving an AI agent accessing external government systems outside the United States. OpenAI said it only became aware of the breach in August. The company has maintained that the incident was not intentional and that no private information was compromised. Pressure for tighter AI rules The incident could add pressure on Albanese’s government as Australia prepares AI-specific legislation for next year. Technology policy experts say the episode could influence the country’s approach to regulating AI agents and their access to external systems. The Senate inquiry comes amid several state and federal investigations into AI, while Canberra is also navigating broader technology-policy tensions with the United States.

OpenAI CEO Sam Altman and Anthropic CEO Dario Amodei have been summoned by Australia’s Senate for an AI inquiry after an OpenAI bot breached government websites.

OpenAI, Anthropic CEOs summoned by Australia’s Senate amid AI probe

Anthropic is committing $11.6 billion to Akamai's cloud infrastructure over seven years, marking the largest deal in the infrastructure company's history and another major expansion of the AI startup's computing capacity.&nbsp;But there is an unusual twist: Akamai is giving Anthropic the right to acquire shares in the company, potentially allowing the AI developer to build a stake of around 5% in its own cloud supplier. The agreement could also grow to approximately $20 billion. The deal, announced by Akamai on Thursday, highlights how the AI boom is creating demand for more than powerful graphics processing units (GPUs). General-purpose central processing units (CPUs), which handle tasks such as running code and browsing the web, are becoming increasingly important as AI agents take on more work.&nbsp;<h2>Anthropic's $11.6 billion deal could reach $20 billion</h2>The new commitment is more than six times the $1.8 billion agreement between the companies reported by Bloomberg in May.&nbsp;However, the seven-year deal is conditional. According to Akamai's securities filing, it depends on the company meeting delivery and service-availability requirements. Both sides can terminate the agreement under certain conditions.The contract could expand by another $9 billion if Anthropic commits additional spending. For every additional $3 billion it commits to Akamai's cloud services, Anthropic unlocks roughly another 1% of the company's outstanding stock through a share warrant. A warrant gives its holder the right to buy shares at a specified price. In this case, the arrangement covers non-voting preferred stock convertible into 7.7 million common shares at $111.33 per share. Around 2% is expected to vest after Anthropic makes its first payment, with the remaining potential stake linked to further spending.&nbsp;<h2>Why Anthropic is betting on CPUs, not just GPUs</h2>The agreement also reflects a shift in AI infrastructure demand. While GPUs are widely associated with training and running AI models, CPUs handle general-purpose computing tasks. These include running software, executing code and managing web-based activities. As AI agents become capable of carrying out multi-step tasks, demand for this computing capacity is growing. Akamai has not disclosed precisely how Anthropic will use the infrastructure. To support the agreement, Akamai expects to spend around $5.5 billion on additional capacity. It is also adding approximately $1.7 billion to its capital spending this year to purchase components, including memory, in advance.&nbsp;<h2>Akamai expects billions in future revenue</h2>The financial benefits will take time to arrive. Akamai does not expect revenue from the deal this year. Executives said on an investor call that the company expects between $150 million and $300 million in revenue during 2027, beginning in the second half of the year. By the end of 2028, Akamai expects revenue from the agreement to reach an annual pace of approximately $1.7 billion. Akamai shares rose as much as 17% in after-hours trading on Thursday, according to The Wall Street Journal.&nbsp;<h2>A different twist in AI's cloud spending race</h2>The share arrangement reverses a more familiar pattern in AI infrastructure deals, where chipmakers and cloud providers invest in the AI companies that buy their products. Anthropic has already entered similar relationships with Amazon, Google, Microsoft and AMD, which have invested or agreed to invest in the company while supplying computing capacity or chips. AMD used a comparable warrant structure with OpenAI last year, tying potential share rights to chip-purchase milestones. Anthropic CEO Dario Amodei previously told The New York Times that his company does not participate in such arrangements at the same scale as some other AI players. The bigger picture: Anthropic's Akamai agreement shows how AI infrastructure spending is expanding into cloud capacity, CPUs and long-term supply commitments. For Akamai, it offers a potential multibillion-dollar revenue stream, while Anthropic gets access to computing resources and a possible ownership stake in its supplier.

Anthropic has committed $11.6 billion to Akamai's cloud infrastructure over seven years, with the deal potentially reaching $20 billion. The agreement could give Anthropic a 5% stake in Akamai and highlights growing demand for CPUs in AI computing.


Anthropic is committing $11.6 billion to Akamai's cloud infrastructure over seven years, marking the largest deal in the infrastructure company's history and another major expansion of the AI startup's computing capacity. But there is an unusual twist: Akamai is giving Anthropic the right to acquire shares in the company, potentially allowing the AI developer to build a stake of around 5% in its own cloud supplier. The agreement could also grow to approximately $20 billion. The deal, announced by Akamai on Thursday, highlights how the AI boom is creating demand for more than powerful graphics processing units (GPUs). General-purpose central processing units (CPUs), which handle tasks such as running code and browsing the web, are becoming increasingly important as AI agents take on more work. Anthropic's $11.6 billion deal could reach $20 billion The new commitment is more than six times the $1.8 billion agreement between the companies reported by Bloomberg in May. However, the seven-year deal is conditional. According to Akamai's securities filing, it depends on the company meeting delivery and service-availability requirements. Both sides can terminate the agreement under certain conditions. The contract could expand by another $9 billion if Anthropic commits additional spending. For every additional $3 billion it commits to Akamai's cloud services, Anthropic unlocks roughly another 1% of the company's outstanding stock through a share warrant. A warrant gives its holder the right to buy shares at a specified price. In this case, the arrangement covers non-voting preferred stock convertible into 7.7 million common shares at $111.33 per share. Around 2% is expected to vest after Anthropic makes its first payment, with the remaining potential stake linked to further spending. Why Anthropic is betting on CPUs, not just GPUs The agreement also reflects a shift in AI infrastructure demand. While GPUs are widely associated with training and running AI models, CPUs handle general-purpose computing tasks. These include running software, executing code and managing web-based activities. As AI agents become capable of carrying out multi-step tasks, demand for this computing capacity is growing. Akamai has not disclosed precisely how Anthropic will use the infrastructure. To support the agreement, Akamai expects to spend around $5.5 billion on additional capacity. It is also adding approximately $1.7 billion to its capital spending this year to purchase components, including memory, in advance. Akamai expects billions in future revenue The financial benefits will take time to arrive. Akamai does not expect revenue from the deal this year. Executives said on an investor call that the company expects between $150 million and $300 million in revenue during 2027, beginning in the second half of the year. By the end of 2028, Akamai expects revenue from the agreement to reach an annual pace of approximately $1.7 billion. Akamai shares rose as much as 17% in after-hours trading on Thursday, according to The Wall Street Journal. A different twist in AI's cloud spending race The share arrangement reverses a more familiar pattern in AI infrastructure deals, where chipmakers and cloud providers invest in the AI companies that buy their products. Anthropic has already entered similar relationships with Amazon, Google, Microsoft and AMD, which have invested or agreed to invest in the company while supplying computing capacity or chips. AMD used a comparable warrant structure with OpenAI last year, tying potential share rights to chip-purchase milestones. Anthropic CEO Dario Amodei previously told The New York Times that his company does not participate in such arrangements at the same scale as some other AI players. The bigger picture: Anthropic's Akamai agreement shows how AI infrastructure spending is expanding into cloud capacity, CPUs and long-term supply commitments. For Akamai, it offers a potential multibillion-dollar revenue stream, while Anthropic gets access to computing resources and a possible ownership stake in its supplier.

Anthropic has committed $11.6 billion to Akamai's cloud infrastructure over seven years, with the deal potentially reaching $20 billion. The agreement could give Anthropic a 5% stake in Akamai and highlights growing demand for CPUs in AI computing.

Anthropic commits $11.6 billion to Akamai in AI cloud deal that could reach $20 billion

OpenAI CEO Sam Altman has called for ‘extreme care’ in the current phase of artificial intelligence development, warning that the technology could advance at an increasingly rapid pace. Addressing the United Nations Security Council on Wednesday, Altman said the AI industry should not take excessive technological risks simply because the potential benefits of the technology are significant. "The industry must not accept too much technological risk just because the benefits are too great and important to slow down," Altman told the United Nation's top body.&nbsp;Altman was among technology industry leaders invited to brief the 15-member council during an emergency meeting focused on the growing risks associated with artificial intelligence. The session came after weeks of international debate over the possibility of increasingly powerful AI systems becoming difficult to control, alongside calls for greater caution and slower development.Anthropic CEO Dario Amodei also addressed the council, while Hugging Face CEO Clement Delangue was expected to participate in the session.&nbsp;Also Read: <a href="https://www.wionews.com/world/putin-is-always-looking-for-someone-who-can-help-him-kill-more-zelensky-accuses-russian-president-of-using-fighters-from-47-nations-in-ukraine-war-1790191326006">'Putin is always looking for someone who can help him kill more': Zelensky accuses Russian president of using fighters from 47 nations in Ukraine war</a>&nbsp;Altman said OpenAI would seek what he described as a ‘middle path’ as the industry moves forward with increasingly capable AI systems. "While "we don't want to fall into the trap of blind optimism," he cautioned against falling into "doomerism" too." The remarks come as OpenAI has advocated for the United States to take a leading role in developing international AI standards, arguing that the US technology sector remains at the technical frontier of artificial intelligence.&nbsp;Amodei, meanwhile, emphasized the importance of safety measures as AI capabilities continue to evolve. Speaking to the Security Council via video, he pledged that Anthropic would slow the development and release of new AI technologies whenever necessary to address safety concerns. "We will slow down as much as necessary in order to make sure that every successive AI technology that we release is actually safe," he told the United Nations via a video address.

Sam Altman and Dario Amodei address the UN Security Council on AI safety, urging caution, global standards and safeguards as artificial intelligence advances

OpenAI CEO Sam Altman has called for ‘extreme care’ in the current phase of artificial intelligence development, warning that the technology could advance at an increasingly rapid pace. Addressing the United Nations Security Council on Wednesday, Altman said the AI industry should not take excessive technological risks simply because the potential benefits of the technology are significant. "The industry must not accept too much technological risk just because the benefits are too great and important to slow down," Altman told the United Nation's top body. Altman was among technology industry leaders invited to brief the 15-member council during an emergency meeting focused on the growing risks associated with artificial intelligence. The session came after weeks of international debate over the possibility of increasingly powerful AI systems becoming difficult to control, alongside calls for greater caution and slower development. Anthropic CEO Dario Amodei also addressed the council, while Hugging Face CEO Clement Delangue was expected to participate in the session. Also Read: 'Putin is always looking for someone who can help him kill more': Zelensky accuses Russian president of using fighters from 47 nations in Ukraine war Altman said OpenAI would seek what he described as a ‘middle path’ as the industry moves forward with increasingly capable AI systems. "While "we don't want to fall into the trap of blind optimism," he cautioned against falling into "doomerism" too." The remarks come as OpenAI has advocated for the United States to take a leading role in developing international AI standards, arguing that the US technology sector remains at the technical frontier of artificial intelligence. Amodei, meanwhile, emphasized the importance of safety measures as AI capabilities continue to evolve. Speaking to the Security Council via video, he pledged that Anthropic would slow the development and release of new AI technologies whenever necessary to address safety concerns. "We will slow down as much as necessary in order to make sure that every successive AI technology that we release is actually safe," he told the United Nations via a video address.

Sam Altman and Dario Amodei urge extreme warning on AI development, telling the UN Security Council that safety must remain central as technology advances

Open AI, Anthropic CEO urges caution over rapid AI development at UN Security Council, call for 'extreme care'

Amid calls for artificial intelligence (AI) slowdown, a new lawsuit claims Anthropic, OpenAI, SpaceXAI and Google made an illegal deal to slow the pace of their respective AI development. The lawsuit was filed Friday (Sep 20) in the US District Court for the Northern District of California, argues that the leading AI companies violated antitrust laws when they agreed to coordinate slowdown efforts, and that doing so would reduce the value consumers get for paid AI subscriptions. Lawyers representing four named plaintiffs, who pay for subscriptions to ChatGPT, Claude, Grok or Gemini, are bringing the lawsuit on behalf of a proposed nationwide class of other paid subscribers to those services.&nbsp;The coordination largely took place on Sept. 12, the lawsuit argues, when Anthropic CEO Dario Amodei published an essay urging for industrywide cooperation on decelerating advancements in favor of enhanced safety measures. That same day, OpenAI CEO Sam Altman, SpaceXAI CEO Elon Musk and Google DeepMind’s co-founder and chair Demis Hassabis each publicly responded to Amodei’s proposals in agreement.&nbsp;But the lawsuit also alleges that the coordination began to take shape months earlier. It points to a statement from July 2026 that high-ranking employees from several of the leading AI labs signed that acknowledged the “intense competitive pressure not to unilaterally slow” development. That statement called on the government to support a global effort to slow automated AI development. It is clear that an agreement among the chief rivals in AI that their progress “should be slower than competition would otherwise produce has an anticompetitive effect on consumers,” the plaintiffs argue.&nbsp;The plaintiffs don’t object to the companies individually deciding to slow their own progress in favor of safety. They instead argue in the complaint that antitrust laws forbid them from taking the “shortcut” of agreeing to “substitute collective restraint for individual accountability.” A competitive market allows for responsibility and genuine progress, the lawsuit argues. “AI will quickly spin out of human control and could kill us all if we allow AI safety and protocol ... to be controlled by private self-serving agreements between the world’s most powerful ‘for profit’ technology companies,” said Nick Rowley, the lead attorney for the plaintiffs. Also Read: <a href="https://www.wionews.com/world/nobody-knows-if-it-can-be-in-control-godfather-of-ai-china-spy-chief-back-ai-slowdown-calls-flags-political-threat-1789356804637">'Nobody knows if it can be in control': ‘Godfather’ of AI, China spy chief back AI slowdown calls</a><h2>Trump criticised calls to slow AI</h2>US President Donald Trump and China downplayed the concerns. While Trump called it a “hoax” like climate change, China called it “fearmongering.” Trump went on to declare “whoever wins AI, wins,” Trump told reporters at his golf club in Doonbeg, Ireland, ”We can put guardrails, and we can do this and that, but I think you have a lot of negative forces that are bringing it up and they’re bringing up things that won’t happen,” he added. “The only “guardrails” that AI needed were a “STRONG AND SMART” president,” he opined on Truth Social. Meanwhile, China’s ministry of foreign affairs said that all parties should work together on AI. “Fearmongering, confrontation and vicious competition will only disrupt the process of global AI governance, which serves no one’s interest,” spokesperson Guo Jiakun said at a press conference on Monday. The debate around AI was reignited after Anthropic CEO Dario Amodei proposed a three-part plan aimed at controlling the pace of frontier AI development. He argued that AI systems were becoming capable of helping create more advanced models, raising concerns about how quickly the technology could progress.

Anthropic, OpenAI, Google and SpaceXAI face a new US antitrust lawsuit alleging they illegally coordinated efforts to slow AI development. The plaintiffs, paid subscribers to ChatGPT, Claude, Grok and Gemini, argue the alleged agreement limits competition and reduces value for consumers

Amid calls for artificial intelligence (AI) slowdown, a new lawsuit claims Anthropic, OpenAI, SpaceXAI and Google made an illegal deal to slow the pace of their respective AI development. The lawsuit was filed Friday (Sep 20) in the US District Court for the Northern District of California, argues that the leading AI companies violated antitrust laws when they agreed to coordinate slowdown efforts, and that doing so would reduce the value consumers get for paid AI subscriptions. Lawyers representing four named plaintiffs, who pay for subscriptions to ChatGPT, Claude, Grok or Gemini, are bringing the lawsuit on behalf of a proposed nationwide class of other paid subscribers to those services. The coordination largely took place on Sept. 12, the lawsuit argues, when Anthropic CEO Dario Amodei published an essay urging for industrywide cooperation on decelerating advancements in favor of enhanced safety measures. That same day, OpenAI CEO Sam Altman, SpaceXAI CEO Elon Musk and Google DeepMind’s co-founder and chair Demis Hassabis each publicly responded to Amodei’s proposals in agreement. But the lawsuit also alleges that the coordination began to take shape months earlier. It points to a statement from July 2026 that high-ranking employees from several of the leading AI labs signed that acknowledged the “intense competitive pressure not to unilaterally slow” development. That statement called on the government to support a global effort to slow automated AI development. It is clear that an agreement among the chief rivals in AI that their progress “should be slower than competition would otherwise produce has an anticompetitive effect on consumers,” the plaintiffs argue. The plaintiffs don’t object to the companies individually deciding to slow their own progress in favor of safety. They instead argue in the complaint that antitrust laws forbid them from taking the “shortcut” of agreeing to “substitute collective restraint for individual accountability.” A competitive market allows for responsibility and genuine progress, the lawsuit argues. “AI will quickly spin out of human control and could kill us all if we allow AI safety and protocol ... to be controlled by private self-serving agreements between the world’s most powerful ‘for profit’ technology companies,” said Nick Rowley, the lead attorney for the plaintiffs. Also Read: 'Nobody knows if it can be in control': ‘Godfather’ of AI, China spy chief back AI slowdown calls Trump criticised calls to slow AI US President Donald Trump and China downplayed the concerns. While Trump called it a “hoax” like climate change, China called it “fearmongering.” Trump went on to declare “whoever wins AI, wins,” Trump told reporters at his golf club in Doonbeg, Ireland, ”We can put guardrails, and we can do this and that, but I think you have a lot of negative forces that are bringing it up and they’re bringing up things that won’t happen,” he added. “The only “guardrails” that AI needed were a “STRONG AND SMART” president,” he opined on Truth Social. Meanwhile, China’s ministry of foreign affairs said that all parties should work together on AI. “Fearmongering, confrontation and vicious competition will only disrupt the process of global AI governance, which serves no one’s interest,” spokesperson Guo Jiakun said at a press conference on Monday. The debate around AI was reignited after Anthropic CEO Dario Amodei proposed a three-part plan aimed at controlling the pace of frontier AI development. He argued that AI systems were becoming capable of helping create more advanced models, raising concerns about how quickly the technology could progress.

Anthropic, OpenAI, Google and SpaceXAI face a new US antitrust lawsuit alleging they illegally coordinated efforts to slow AI development. The plaintiffs, paid subscribers to ChatGPT, Claude, Grok and Gemini, argue the alleged agreement limits competition and reduces value for consumers

'AI could kill us...': Anthropic, OpenAI, SpaceXAI, Google face lawsuit over 'agreement' on slowdown

Cybersecurity researchers reportedly hacked OpenAI’s systems using security tools developed by rival artificial intelligence company Anthropic. The development followed two weeks&nbsp;after a swarm of AI agents escaped containment at OpenAI to hack the company Hugging Face. Several media reports suggest that&nbsp;researchers from cybersecurity firm Hacktron AI&nbsp;exploited weaknesses in OpenAI’s community forum, intending to gain access to internal credentials and a ChatGPT account of an employee. The particular account was linked to GitHub, giving researchers a way into internal software code; from there, they could examine private information and suggest modifications. The Financial Times reported that the researchers had been granted access to a cybersecurity-focused tool built by Anthropic. The move was part of a broader initiative aiming to hunt down weaknesses before bad actors could exploit them.&nbsp;Also read: <a href="https://www.wionews.com/world/they-just-invited-us-to-a-google-meet-us-firm-allegedly-fires-entire-indian-customer-service-team-1789733233693">‘They just invited us to a Google Meet’: US firm allegedly fires entire Indian customer service tea</a>m<h3>OpenAI awards the three researchers&nbsp;</h3>For their efforts, OpenAI awarded the three researchers a combined $6,500 through its bug bounty programme, which compensates security researchers who responsibly flag and report weaknesses. The company confirmed that the issues identified during this process have since been fixed. “We thank the researchers for contacting us and sharing their findings,” said OpenAI said, according to the Financial Times, while Anthropic declined to comment. This disclosure surfaces just two months after reports emerged that over 1,000 of OpenAI's AI agents had escaped a testing environment and launched hacking attempts against the AI platform Hugging Face, an episode that raised fresh concerns about AI agents' growing capacity to carry out cyberattacks with little to no human oversight.&nbsp;Meanwhile, industry leaders including Jensen Huang and Mark Zuckerberg are emphasising AI safety measures, rather than directing it to slow down its development. &nbsp;In a post on X, Zuckerberg said, “My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.”

The researchers had been granted access to a cybersecurity-focused tool built by Anthropic. The move was part of a broader initiative aiming to hunt down weaknesses before bad actors could exploit them.

Cybersecurity researchers reportedly hacked OpenAI’s systems using security tools developed by rival artificial intelligence company Anthropic. The development followed two weeks after a swarm of AI agents escaped containment at OpenAI to hack the company Hugging Face. Several media reports suggest that researchers from cybersecurity firm Hacktron AI exploited weaknesses in OpenAI’s community forum, intending to gain access to internal credentials and a ChatGPT account of an employee. The particular account was linked to GitHub, giving researchers a way into internal software code; from there, they could examine private information and suggest modifications. The Financial Times reported that the researchers had been granted access to a cybersecurity-focused tool built by Anthropic. The move was part of a broader initiative aiming to hunt down weaknesses before bad actors could exploit them. Also read: ‘They just invited us to a Google Meet’: US firm allegedly fires entire Indian customer service team OpenAI awards the three researchers For their efforts, OpenAI awarded the three researchers a combined $6,500 through its bug bounty programme, which compensates security researchers who responsibly flag and report weaknesses. The company confirmed that the issues identified during this process have since been fixed. “We thank the researchers for contacting us and sharing their findings,” said OpenAI said, according to the Financial Times, while Anthropic declined to comment. This disclosure surfaces just two months after reports emerged that over 1,000 of OpenAI's AI agents had escaped a testing environment and launched hacking attempts against the AI platform Hugging Face, an episode that raised fresh concerns about AI agents' growing capacity to carry out cyberattacks with little to no human oversight. Meanwhile, industry leaders including Jensen Huang and Mark Zuckerberg are emphasising AI safety measures, rather than directing it to slow down its development. In a post on X, Zuckerberg said, “My view is that trust and alignment are quickly becoming the most important capabilities that will differentiate agents and models. Any lab that doesn't focus on alignment will fall behind.”

The researchers had been granted access to a cybersecurity-focused tool built by Anthropic. The move was part of a broader initiative aiming to hunt down weaknesses before bad actors could exploit them.

Researchers hack OpenAI systems, access employee credentials using Anthropic's AI security tool

Anthropic is hiring a weapons expert to help decide what its Claude AI models should and should not be allowed to do.&nbsp;The unusual job, called Policy Design Manager, Conventional Weapons, sits within Anthropic’s Safeguards organisation. The successful candidate will help define the boundary between legitimate engineering research and requests that could contribute to weapons development. The position comes as Anthropic faces growing questions about how increasingly capable AI systems could be misused in military and other high-risk settings. And the company is willing to pay heavily for someone who can help answer those questions.<h2>Anthropic is offering up to $285,000</h2>The job listing gives an annual salary range of $245,000 to $285,000. At the upper end, that is roughly Rs 2.7 crore a year, depending on the exchange rate. That works out to about Rs 22.5 lakh a month before tax. Anthropic says it is looking for someone with deep, practical knowledge of weapons systems. Experience at a defence research laboratory, government research agency or weapons company is among the backgrounds it lists. A bachelor's degree or equivalent experience is required. Knowledge of machine learning is preferred, along with experience in areas such as robotics, autonomy, guidance and navigation, sensors, aerospace or embedded software.<h2>What will the weapons expert actually do?</h2>The job is not simply about blocking questions about guns or military equipment. Anthropic says conventional weapons increasingly depend on software and autonomous systems. The role therefore covers technologies with legitimate civilian uses that could also contribute to weapons systems. The person hired will develop threat models and evaluations to assess how Claude could contribute to weapons development. They will also work with engineers to turn policy decisions into model guardrails, detection systems and enforcement tools.&nbsp;Anthropic specifically says the role extends to autonomous systems capable of selecting and engaging targets without human authorisation.&nbsp;The aim is to establish a practical line between acceptable research and harmful weapons development.<h2>Why is Anthropic doing this now?</h2>The timing is significant. Anthropic has been expanding its AI safeguards as its models become more capable. Last week, the company published research showing that frontier AI models can perform tasks relevant to tactical intelligence and conventional weapons development, while also describing safeguards designed to block misuse. Anthropic has also previously restricted Claude from assisting with weapons design and development. The company has argued that advanced AI systems need stronger protections in high-risk areas.That makes the new hire part of a broader effort to build safeguards around Claude rather than evidence that Anthropic believes an AI war is about to begin. The bigger question is becoming harder to ignore: as AI becomes capable of handling more sophisticated technical work, where exactly should the line be drawn? Anthropic is now looking for a weapons expert to help draw it.

Anthropic is hiring a Policy Design Manager for conventional weapons, offering up to $285,000 a year. The role will define limits for Claude, build threat models and evaluations, and help engineers create safeguards against AI-assisted weapons development.

Anthropic is hiring a weapons expert to help decide what its Claude AI models should and should not be allowed to do. The unusual job, called Policy Design Manager, Conventional Weapons, sits within Anthropic’s Safeguards organisation. The successful candidate will help define the boundary between legitimate engineering research and requests that could contribute to weapons development. The position comes as Anthropic faces growing questions about how increasingly capable AI systems could be misused in military and other high-risk settings. And the company is willing to pay heavily for someone who can help answer those questions. Anthropic is offering up to $285,000 The job listing gives an annual salary range of $245,000 to $285,000. At the upper end, that is roughly Rs 2.7 crore a year, depending on the exchange rate. That works out to about Rs 22.5 lakh a month before tax. Anthropic says it is looking for someone with deep, practical knowledge of weapons systems. Experience at a defence research laboratory, government research agency or weapons company is among the backgrounds it lists. A bachelor's degree or equivalent experience is required. Knowledge of machine learning is preferred, along with experience in areas such as robotics, autonomy, guidance and navigation, sensors, aerospace or embedded software. What will the weapons expert actually do? The job is not simply about blocking questions about guns or military equipment. Anthropic says conventional weapons increasingly depend on software and autonomous systems. The role therefore covers technologies with legitimate civilian uses that could also contribute to weapons systems. The person hired will develop threat models and evaluations to assess how Claude could contribute to weapons development. They will also work with engineers to turn policy decisions into model guardrails, detection systems and enforcement tools. Anthropic specifically says the role extends to autonomous systems capable of selecting and engaging targets without human authorisation. The aim is to establish a practical line between acceptable research and harmful weapons development. Why is Anthropic doing this now? The timing is significant. Anthropic has been expanding its AI safeguards as its models become more capable. Last week, the company published research showing that frontier AI models can perform tasks relevant to tactical intelligence and conventional weapons development, while also describing safeguards designed to block misuse. Anthropic has also previously restricted Claude from assisting with weapons design and development. The company has argued that advanced AI systems need stronger protections in high-risk areas. That makes the new hire part of a broader effort to build safeguards around Claude rather than evidence that Anthropic believes an AI war is about to begin. The bigger question is becoming harder to ignore: as AI becomes capable of handling more sophisticated technical work, where exactly should the line be drawn? Anthropic is now looking for a weapons expert to help draw it.

Anthropic is hiring a Policy Design Manager for conventional weapons, offering up to $285,000 a year. The role will define limits for Claude, build threat models and evaluations, and help engineers create safeguards against AI-assisted weapons development.

Anthropic is hiring a weapons expert to decide what Claude should be allowed to do

Anthropic is making a major change to Claude, bringing its chat, work and design capabilities together in one interface.The company announced on Wednesday that users will no longer need to decide which Claude tool to open for a particular task. Instead, Claude will automatically select the capabilities it needs. The update also introduces Claude Docs and Claude Slides in beta, allowing users to create documents, presentations and visual designs directly from a conversation. The move puts Anthropic in a growing race with OpenAI to turn AI chatbots into everyday work platforms.<h2>Claude will decide which tool to use</h2>Until now, Claude users could have to switch between different experiences depending on what they wanted to create. Anthropic says that is changing. The company's chat and Cowork tools are being combined, while Claude Design is being integrated into the main interface. That means a user could start with a simple request, develop the content, turn it into a document or presentation, and refine the visual output without jumping between separate tools. For people using AI for work, the change could make Claude feel less like a chatbot and more like a digital workspace.<h2>Claude Docs and Slides arrive in beta</h2>The new tools are designed to handle some of the tasks usually associated with office software. Claude Docs can be used to create documents, while Claude Slides can generate presentations. Users can also create visual designs through the integrated Claude Design experience. Anthropic says documents can be exported to Google Docs or Microsoft Word. Presentations can be exported as PowerPoint or PDF files. That could make the tools particularly useful for workers who already use AI to draft reports, prepare presentations or turn ideas into finished work.<h2>Anthropic takes on OpenAI</h2>The timing is significant. Anthropic's update follows OpenAI's launch of ChatGPT Work in July, which brought its chatbot and Codex coding capabilities together. Both companies are increasingly competing for enterprise customers as well as ordinary users who want AI to complete tasks rather than simply answer questions.The shift is also changing what users expect from AI assistants. Instead of asking a chatbot for text and then manually moving that content into Word or PowerPoint, users are increasingly being offered a workflow in which the AI helps create the finished file itself.Anthropic says the new Claude experience will begin rolling out to Pro and Max subscribers on web, desktop and mobile over the coming weeks. Team and Free users will receive access later. &nbsp;

Anthropic is combining Claude’s chat, Cowork and Design experiences into one interface and launching Claude Docs and Slides in beta. Users can create documents and presentations in a conversation and export them to Word, Google Docs, PowerPoint or PDF.

Anthropic is making a major change to Claude, bringing its chat, work and design capabilities together in one interface. The company announced on Wednesday that users will no longer need to decide which Claude tool to open for a particular task. Instead, Claude will automatically select the capabilities it needs. The update also introduces Claude Docs and Claude Slides in beta, allowing users to create documents, presentations and visual designs directly from a conversation. The move puts Anthropic in a growing race with OpenAI to turn AI chatbots into everyday work platforms. Claude will decide which tool to use Until now, Claude users could have to switch between different experiences depending on what they wanted to create. Anthropic says that is changing. The company's chat and Cowork tools are being combined, while Claude Design is being integrated into the main interface. That means a user could start with a simple request, develop the content, turn it into a document or presentation, and refine the visual output without jumping between separate tools. For people using AI for work, the change could make Claude feel less like a chatbot and more like a digital workspace. Claude Docs and Slides arrive in beta The new tools are designed to handle some of the tasks usually associated with office software. Claude Docs can be used to create documents, while Claude Slides can generate presentations. Users can also create visual designs through the integrated Claude Design experience. Anthropic says documents can be exported to Google Docs or Microsoft Word. Presentations can be exported as PowerPoint or PDF files. That could make the tools particularly useful for workers who already use AI to draft reports, prepare presentations or turn ideas into finished work. Anthropic takes on OpenAI The timing is significant. Anthropic's update follows OpenAI's launch of ChatGPT Work in July, which brought its chatbot and Codex coding capabilities together. Both companies are increasingly competing for enterprise customers as well as ordinary users who want AI to complete tasks rather than simply answer questions. The shift is also changing what users expect from AI assistants. Instead of asking a chatbot for text and then manually moving that content into Word or PowerPoint, users are increasingly being offered a workflow in which the AI helps create the finished file itself. Anthropic says the new Claude experience will begin rolling out to Pro and Max subscribers on web, desktop and mobile over the coming weeks. Team and Free users will receive access later.

Anthropic is combining Claude’s chat, Cowork and Design experiences into one interface and launching Claude Docs and Slides in beta. Users can create documents and presentations in a conversation and export them to Word, Google Docs, PowerPoint or PDF.

Claude gets a major upgrade: Anthropic brings chat, work tools and design into one place

AI stocks fell sharply across global markets on Monday after Anthropic CEO Dario Amodei called for a slower pace of frontier AI development. The warning was backed by OpenAI CEO Sam Altman and Elon Musk, creating an unusual show of agreement among major AI leaders.Investors are now questioning what a slowdown could mean for the massive spending on chips, data centres and computing power that has fuelled the AI boom.<h2>AI stocks fall across Asia and Europe</h2> In Asia, SoftBank shares fell about 12% in Tokyo. The company is one of the biggest investors in OpenAI, with a roughly $64.6 billion commitment. South Korea’s AI-linked giants also came under pressure. SK Hynix and Samsung Electronics fell sharply as investors reassessed the outlook for memory chips used in AI infrastructure.The selling spread to Europe. ASML, Infineon and Nokia were among the companies hit, while data-centre suppliers such as Siemens Energy and Schneider Electric also declined. US-listed AI and semiconductor stocks were lower in premarket trading, with Micron, Intel and Nvidia among the major names under pressure.<h2>Why are AI leaders asking to slow down?</h2>The debate intensified after Anthropic researcher Jacob Coxon resigned, saying AI companies were moving too quickly and “gambling with our lives”. Anthropic researcher Evan Hubinger then said he personally estimated there was a greater than 10% chance that AI could “kill all humans” within the next decade. Those are individual risk assessments, not established predictions. Amodei’s response was more focused on controlling the pace of development. In his essay, “We Must Pace the Frontier,” he argued that AI capabilities are advancing quickly enough to create serious risks, including loss of control, cyberattacks and bioterrorism.<h2>Sam Altman says slowdown does not mean stopping</h2>OpenAI’s Sam Altman backed Amodei, saying AI companies need to “pace the frontier”. But Altman stressed that pacing does not mean stopping AI development. He said progress will continue, although it should be slower than it otherwise might be because safety testing and monitoring add costs and time.That distinction matters for investors. A slower development cycle could reduce demand for some new chips and computing capacity. But analysts argue that AI infrastructure demand remains extremely strong, particularly for inference the computing needed to actually run AI models for users. “The pace of change is still going to be vast,” Quilter Cheviot technology researcher Ben Barringer told CNBC, arguing that demand for inference remains greater than available supply. For markets, the immediate question is therefore not whether the AI boom is ending. It is whether the enormous expectations already priced into AI companies can survive a world where the industry deliberately chooses to move more carefully. &nbsp;

AI stocks fell globally after Anthropic CEO Dario Amodei urged a slower pace for frontier AI development, backed by OpenAI’s Sam Altman and Elon Musk. The warnings have raised fresh investor concerns about AI spending, chips and data-centre demand.

AI stocks fell sharply across global markets on Monday after Anthropic CEO Dario Amodei called for a slower pace of frontier AI development. The warning was backed by OpenAI CEO Sam Altman and Elon Musk, creating an unusual show of agreement among major AI leaders. Investors are now questioning what a slowdown could mean for the massive spending on chips, data centres and computing power that has fuelled the AI boom. AI stocks fall across Asia and Europe In Asia, SoftBank shares fell about 12% in Tokyo. The company is one of the biggest investors in OpenAI, with a roughly $64.6 billion commitment. South Korea’s AI-linked giants also came under pressure. SK Hynix and Samsung Electronics fell sharply as investors reassessed the outlook for memory chips used in AI infrastructure. The selling spread to Europe. ASML, Infineon and Nokia were among the companies hit, while data-centre suppliers such as Siemens Energy and Schneider Electric also declined. US-listed AI and semiconductor stocks were lower in premarket trading, with Micron, Intel and Nvidia among the major names under pressure. Why are AI leaders asking to slow down? The debate intensified after Anthropic researcher Jacob Coxon resigned, saying AI companies were moving too quickly and “gambling with our lives”. Anthropic researcher Evan Hubinger then said he personally estimated there was a greater than 10% chance that AI could “kill all humans” within the next decade. Those are individual risk assessments, not established predictions. Amodei’s response was more focused on controlling the pace of development. In his essay, “We Must Pace the Frontier,” he argued that AI capabilities are advancing quickly enough to create serious risks, including loss of control, cyberattacks and bioterrorism. Sam Altman says slowdown does not mean stopping OpenAI’s Sam Altman backed Amodei, saying AI companies need to “pace the frontier”. But Altman stressed that pacing does not mean stopping AI development. He said progress will continue, although it should be slower than it otherwise might be because safety testing and monitoring add costs and time. That distinction matters for investors. A slower development cycle could reduce demand for some new chips and computing capacity. But analysts argue that AI infrastructure demand remains extremely strong, particularly for inference the computing needed to actually run AI models for users. “The pace of change is still going to be vast,” Quilter Cheviot technology researcher Ben Barringer told CNBC, arguing that demand for inference remains greater than available supply. For markets, the immediate question is therefore not whether the AI boom is ending. It is whether the enormous expectations already priced into AI companies can survive a world where the industry deliberately chooses to move more carefully.

AI stocks fell globally after Anthropic CEO Dario Amodei urged a slower pace for frontier AI development, backed by OpenAI’s Sam Altman and Elon Musk. The warnings have raised fresh investor concerns about AI spending, chips and data-centre demand.

SoftBank, Samsung, Nvidia stocks fall as AI CEOs urge slower development

Could artificial intelligence eventually kill humans? Anthropic CEO Dario Amodei says the possibility cannot be dismissed but he believes the outcome is still shaped by human choices.&nbsp;Speaking to CNN's Anderson Cooper, Amodei said he agrees with former Anthropic researcher Jacob Coxon's concerns about the AI race more than he disagrees with them. His warning comes as major AI companies develop increasingly powerful systems and debate how much, if at all, that progress should be slowed. Amodei's central message was not that AI will inevitably destroy humanity. Instead, he said the industry should focus on which path it takes next.&nbsp;“If we take the right path, then the chance of something going wrong is very low.”&nbsp;He added that taking the wrong path could make the risk considerably higher.<h2>Why Amodei wants AI development slowed</h2>Amodei has argued that AI capabilities are advancing faster than safety measures can keep up.&nbsp;In a new proposal, he called for frontier AI companies to give independent evaluators permanent, employee-level access so they can examine safety practices and report problems. He also called for common safety standards among democratic countries and greater international coordination.&nbsp;Anthropic has already committed to the independent-evaluator measure.The aim is not to stop AI development completely. Amodei wants companies to pace the frontier so researchers and governments have more time to understand increasingly capable systems and build safeguards around them.<h2>Jacob Coxon's warning sparked the debate</h2>The discussion intensified after Coxon resigned from Anthropic and publicly accused AI companies of “gambling with our lives”. Coxon, who previously worked at OpenAI, warned that researchers building advanced AI believe it could potentially kill humanity by the end of the decade. His comments went viral and were echoed by Anthropic alignment researcher Evan Hubinger, who said he personally puts the risk above 10% over the next decade. Amodei said Coxon was not specifically accusing Anthropic of being uniquely irresponsible. Instead, he was warning about the competitive race across the entire industry.

<blockquote class="twitter-tweet">Do not underestimate the power of this technology. These will soon be superhuman systems that can hack anything, revolutionize any field overnight, and acquire real power and resources. We have all witnessed the progress in each of these domains, and progress is not slowing.&mdash; Jacob Coxon (@hilbertspaess) <a href="https://x.com/hilbertspaess/status/2097476201283834281?ref_src=twsrc%5Etfw">September 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet">I agree with Dario that we need to pace the frontier. This has been a primary topic of discussions we&#39;ve had at OpenAI in recent weeks. Committing to having independent evaluators with employee-like access is a great idea, and we will do the same. We&#39;ll have more to share soon. <a href="https://t.co/1YhhIybZX7">https://t.co/1YhhIybZX7</a>&mdash; Sam Altman (@sama) <a href="https://x.com/sama/status/2098811563415150910?ref_src=twsrc%5Etfw">September 12, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<blockquote class="twitter-tweet">Dario is right <a href="https://t.co/EwKgqQGaUo">https://t.co/EwKgqQGaUo</a>&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2098789109980332057?ref_src=twsrc%5Etfw">September 12, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

The call for caution has unusually brought together rival AI leaders.OpenAI CEO Sam Altman said, “We need to pace the frontier,” and backed independent evaluators with employee-like access. OpenAI said it would adopt the measure. Tesla and xAI CEO Elon Musk also publicly supported Amodei's position, writing: “Dario is right.” The debate now centres on a difficult question: how can the world keep the benefits of increasingly powerful AI while ensuring the technology does not advance faster than humanity's ability to control it?&nbsp;For Amodei, the answer is not simply predicting a percentage. It is making sure the industry chooses the safer path before the choices become harder to reverse.

Anthropic CEO Dario Amodei says AI could pose serious risks if development moves too quickly, but he rejects treating catastrophe as a fixed probability. He wants AI companies and governments to slow the frontier, strengthen safety checks and coordinate internationally.

Could artificial intelligence eventually kill humans? Anthropic CEO Dario Amodei says the possibility cannot be dismissed but he believes the outcome is still shaped by human choices. Speaking to CNN's Anderson Cooper, Amodei said he agrees with former Anthropic researcher Jacob Coxon's concerns about the AI race more than he disagrees with them. His warning comes as major AI companies develop increasingly powerful systems and debate how much, if at all, that progress should be slowed. Amodei's central message was not that AI will inevitably destroy humanity. Instead, he said the industry should focus on which path it takes next. “If we take the right path, then the chance of something going wrong is very low.” He added that taking the wrong path could make the risk considerably higher. Why Amodei wants AI development slowed Amodei has argued that AI capabilities are advancing faster than safety measures can keep up. In a new proposal, he called for frontier AI companies to give independent evaluators permanent, employee-level access so they can examine safety practices and report problems. He also called for common safety standards among democratic countries and greater international coordination. Anthropic has already committed to the independent-evaluator measure. The aim is not to stop AI development completely. Amodei wants companies to pace the frontier so researchers and governments have more time to understand increasingly capable systems and build safeguards around them. Jacob Coxon's warning sparked the debate The discussion intensified after Coxon resigned from Anthropic and publicly accused AI companies of “gambling with our lives”. Coxon, who previously worked at OpenAI, warned that researchers building advanced AI believe it could potentially kill humanity by the end of the decade. His comments went viral and were echoed by Anthropic alignment researcher Evan Hubinger, who said he personally puts the risk above 10% over the next decade. Amodei said Coxon was not specifically accusing Anthropic of being uniquely irresponsible. Instead, he was warning about the competitive race across the entire industry.

Anthropic CEO Dario Amodei says AI could pose serious risks if development moves too quickly, but he rejects treating catastrophe as a fixed probability. He wants AI companies and governments to slow the frontier, strengthen safety checks and coordinate internationally.

Can AI kill humans? Anthropic CEO Dario Amodei says the answer depends on one crucial choice

Anthropic says scientists used its Claude AI models for sensitive biological research that could potentially aid the development of biological weapons.&nbsp;The company said it disrupted several such attempts this year, including research involving viruses and other biological work with possible weapons applications. The disclosure has renewed concerns about how increasingly capable AI models could lower barriers to dangerous scientific work. Much of the research involved so-called dual-use science, where the same work can have legitimate medical benefits but could also create security risks.<h2>What did the researchers use Claude for?</h2>One case involved a request to help prepare a grant application for research involving the chikungunya virus. According to Anthropic, the proposed work involved genetic changes intended to study properties such as transmissibility and immune evasion. Such research can have legitimate purposes, including understanding viruses and developing treatments or vaccines, but the same capabilities can raise serious biosecurity concerns.&nbsp;Anthropic said it blocked the accounts involved after detecting activity that violated its policies. The company has not publicly identified the researchers or organisations involved in the biological cases.<h2>Why is AI raising bioweapon concerns?</h2>The concern is not simply that Claude can answer biology questions. Anthropic says newer models are becoming increasingly capable at connecting information across areas of biology and helping researchers with complex scientific tasks. Its own testing has found that some models can provide significant assistance on biological tasks relevant to security risks. That creates a difficult problem for AI companies. The same model that can speed up drug discovery can potentially help with dangerous biological research. Anthropic has therefore introduced stronger safeguards around high-risk biological queries and says its models should not provide serious assistance to people seeking to create biological weapons.<h2>A warning about where AI is heading</h2>The disclosure comes as AI companies face growing pressure over the misuse of increasingly powerful models. Anthropic's latest threat report also describes attempts to use Claude for cyberattacks, surveillance, influence operations and conventional weapons-related work. The biological cases are particularly sensitive because mistakes in this area could have consequences far beyond the person using the AI. For Anthropic, the message is clear: AI safety is no longer only about what models might do in theory. Companies are now having to detect and stop potentially dangerous uses in the real world.

Anthropic says it disrupted several attempts by scientists to use Claude AI for sensitive biological research that could potentially aid biological weapons development. 

Anthropic says scientists used its Claude AI models for sensitive biological research that could potentially aid the development of biological weapons. The company said it disrupted several such attempts this year, including research involving viruses and other biological work with possible weapons applications. The disclosure has renewed concerns about how increasingly capable AI models could lower barriers to dangerous scientific work. Much of the research involved so-called dual-use science, where the same work can have legitimate medical benefits but could also create security risks. What did the researchers use Claude for? One case involved a request to help prepare a grant application for research involving the chikungunya virus. According to Anthropic, the proposed work involved genetic changes intended to study properties such as transmissibility and immune evasion. Such research can have legitimate purposes, including understanding viruses and developing treatments or vaccines, but the same capabilities can raise serious biosecurity concerns. Anthropic said it blocked the accounts involved after detecting activity that violated its policies. The company has not publicly identified the researchers or organisations involved in the biological cases. Why is AI raising bioweapon concerns? The concern is not simply that Claude can answer biology questions. Anthropic says newer models are becoming increasingly capable at connecting information across areas of biology and helping researchers with complex scientific tasks. Its own testing has found that some models can provide significant assistance on biological tasks relevant to security risks. That creates a difficult problem for AI companies. The same model that can speed up drug discovery can potentially help with dangerous biological research. Anthropic has therefore introduced stronger safeguards around high-risk biological queries and says its models should not provide serious assistance to people seeking to create biological weapons. A warning about where AI is heading The disclosure comes as AI companies face growing pressure over the misuse of increasingly powerful models. Anthropic's latest threat report also describes attempts to use Claude for cyberattacks, surveillance, influence operations and conventional weapons-related work. The biological cases are particularly sensitive because mistakes in this area could have consequences far beyond the person using the AI. For Anthropic, the message is clear: AI safety is no longer only about what models might do in theory. Companies are now having to detect and stop potentially dangerous uses in the real world.

Anthropic says it disrupted several attempts by scientists to use Claude AI for sensitive biological research that could potentially aid biological weapons development.&nbsp;

Anthropic says scientists used Claude AI for research that could aid biological weapons development

Anthropic has reported that a Yemen-based guided weapons engineering cell used its Claude AI models to develop software for several weapons programmes, including a guided rocket and missile systems. The activity was detailed in Anthropic’s September 2026 threat-intelligence report, “Detecting and Countering Misuse of AI”. The company said the activity occurred between December 2025 and August 2026. Anthropic described the actors as a “Yemen-based guided weapons engineering cell” operating in northern Yemen. It did not explicitly identify the cell as the Houthis, but the reported activity took place in Houthi-controlled territory. The cell has been described in subsequent reports as Houthi-linked.&nbsp;<h2>Three weapons programmes identified</h2>Anthropic said the actors used Claude models, including Claude Haiku, Sonnet and Opus, as well as Claude Code. The company investigated the activity, banned the associated accounts and shared information with government and industry partners.&nbsp;<a href="https://www.wionews.com/videos/houthis-vs-saudi-arabia-structures-at-king-khalid-air-base-damaged-1789012190643/embed">https://www.wionews.com/videos/houthis-vs-saudi-arabia-structures-at-king-khalid-air-base-damaged-1789012190643/embed</a>Anthropic identified three weapons-development programmes associated with the Yemen-based cell.One involved a guided rocket using a commercially available, phone-class flight computer and final-phase homing guidance designed to steer the rocket towards a target.A second programme was for a multi-stage ballistic missile with a stated range goal of more than 2,000 kilometres.The third, referred to as the “R2000” set, involved proposed missile variants, including one incorporating a hypersonic glide vehicle.Also read: <a href="https://www.wionews.com/world/houthis-capture-al-mokha-yemen-bab-el-mandeb-red-sea-1789041773019">Houthis capture Yemen's al Mokha port city, advance towards strategic Bab el-Mandeb</a><h2>How Claude was used in weapons development by Yemen-based group</h2>According to Anthropic, Claude Code was used as a substitute for human software engineers for parts of the development of guidance, navigation and control (GNC) software. GNC software is used to steer and stabilise flying vehicles.The reported uses included integrating an open-source autopilot onto a phone-class flight computer, writing control and position-estimation software, tuning control settings, running firmware build pipelines and conducting flight simulations.The actors used multiple Claude instances at the same time, each handling coding, research and code review. Human operators directed the overall work.Anthropic said the cell also attempted to conceal the full purpose of its activities by dividing work across multiple Claude sessions. As a result, no individual conversation revealed the true intent of the weapons programme.The company said its safeguards blocked many weapons-related requests, but not all, as the actors found ways to work around some of its access controls and refusals. The group concealed its objectives and divided tasks in an effort to avoid triggering its safety systems.Also read: <a href="https://www.wionews.com/world/pakistan-walks-back-on-houthi-warning-rules-out-military-action-under-mecca-pact-1789048794860">Pakistan walks back Houthi threat, rules out military action as rebels target Saudi Arabia</a><h2>Claude consulted after guided-rocket test failed</h2>Anthropic said it had no evidence that the actors successfully fielded an operational weapon. However, the company reported that the cell carried out a live field test of a guided rocket.The test appeared to have failed. Anthropic said the actors returned to Claude shortly afterwards to diagnose the failure and investigate what had gone wrong.The disclosure does not establish that Claude independently designed or built a functioning weapon. But it shows that the AI models were used to assist human operators with engineering, coding, simulation and troubleshooting tasks connected to weapons development.Anthropic said it detected the activity through its own investigations into suspected weapons-related misuse, banned the relevant accounts, and shared information with the government and industry partners.The Yemen case was part of a wider set of examples in Anthropic’s September report concerning the misuse of AI models. The company found weapons-related activity in China and Russia, including the use of AI agents and code in drone-related work.&nbsp;&nbsp;

Anthropic said in its latest threat report that a Yemen-based weapons cell used Claude AI to develop missile guidance software and test a guided rocket. Reports say it could be the Houthis


Anthropic has reported that a Yemen-based guided weapons engineering cell used its Claude AI models to develop software for several weapons programmes, including a guided rocket and missile systems. The activity was detailed in Anthropic’s September 2026 threat-intelligence report, “Detecting and Countering Misuse of AI”. The company said the activity occurred between December 2025 and August 2026. Anthropic described the actors as a “Yemen-based guided weapons engineering cell” operating in northern Yemen. It did not explicitly identify the cell as the Houthis, but the reported activity took place in Houthi-controlled territory. The cell has been described in subsequent reports as Houthi-linked. Three weapons programmes identified Anthropic said the actors used Claude models, including Claude Haiku, Sonnet and Opus, as well as Claude Code. The company investigated the activity, banned the associated accounts and shared information with government and industry partners. https://www.wionews.com/videos/houthis-vs-saudi-arabia-structures-at-king-khalid-air-base-damaged-1789012190643/embed Anthropic identified three weapons-development programmes associated with the Yemen-based cell. One involved a guided rocket using a commercially available, phone-class flight computer and final-phase homing guidance designed to steer the rocket towards a target. A second programme was for a multi-stage ballistic missile with a stated range goal of more than 2,000 kilometres. The third, referred to as the “R2000” set, involved proposed missile variants, including one incorporating a hypersonic glide vehicle. Also read: Houthis capture Yemen's al Mokha port city, advance towards strategic Bab el-Mandeb How Claude was used in weapons development by Yemen-based group According to Anthropic, Claude Code was used as a substitute for human software engineers for parts of the development of guidance, navigation and control (GNC) software. GNC software is used to steer and stabilise flying vehicles. The reported uses included integrating an open-source autopilot onto a phone-class flight computer, writing control and position-estimation software, tuning control settings, running firmware build pipelines and conducting flight simulations. The actors used multiple Claude instances at the same time, each handling coding, research and code review. Human operators directed the overall work. Anthropic said the cell also attempted to conceal the full purpose of its activities by dividing work across multiple Claude sessions. As a result, no individual conversation revealed the true intent of the weapons programme. The company said its safeguards blocked many weapons-related requests, but not all, as the actors found ways to work around some of its access controls and refusals. The group concealed its objectives and divided tasks in an effort to avoid triggering its safety systems. Also read: Pakistan walks back Houthi threat, rules out military action as rebels target Saudi Arabia Claude consulted after guided-rocket test failed Anthropic said it had no evidence that the actors successfully fielded an operational weapon. However, the company reported that the cell carried out a live field test of a guided rocket. The test appeared to have failed. Anthropic said the actors returned to Claude shortly afterwards to diagnose the failure and investigate what had gone wrong. The disclosure does not establish that Claude independently designed or built a functioning weapon. But it shows that the AI models were used to assist human operators with engineering, coding, simulation and troubleshooting tasks connected to weapons development. Anthropic said it detected the activity through its own investigations into suspected weapons-related misuse, banned the relevant accounts, and shared information with the government and industry partners. The Yemen case was part of a wider set of examples in Anthropic’s September report concerning the misuse of AI models. The company found weapons-related activity in China and Russia, including the use of AI agents and code in drone-related work.

Anthropic said in its latest threat report that a Yemen-based weapons cell used Claude AI to develop missile guidance software and test a guided rocket. Reports say it could be the Houthis &nbsp;

Houthis used Claude AI for weapons development and guided-rocket test? What Anthropic threat report claimed

An Anthropic AI researcher has resigned and issued a stark warning about the future of artificial intelligence, accusing leading AI companies of racing towards self-improving superintelligence without enough safeguards.Jacob Coxon, who said he spent the past three years doing pretraining research at both OpenAI and Anthropic, announced his resignation on X on September 9.

<blockquote class="twitter-tweet">I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.&mdash; Jacob Coxon (@hilbertspaess) <a href="https://x.com/hilbertspaess/status/2097476196791709843?ref_src=twsrc%5Etfw">September 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

“I resigned from Anthropic today,” Coxon wrote. “Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives.”His warning quickly became the focus of a wider debate over how fast frontier AI development should move.

<blockquote class="twitter-tweet">The people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt. If anything, many executives and senior researchers will couch their phrasing in the press to sound sensible - but I hear the same people express fear…&mdash; Jacob Coxon (@hilbertspaess) <a href="https://x.com/hilbertspaess/status/2097476203863224394?ref_src=twsrc%5Etfw">September 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>‘AI could kill us all by the end of the decade’</h2>Coxon made his most serious claim when discussing what people inside AI companies allegedly believe about the technology. “The people building AI earnestly believe that it could kill us all by the end of the decade,” he wrote.He said this was not a marketing tactic and claimed executives and senior researchers privately express fears that are more severe than their public comments suggest.&nbsp;Coxon also warned against underestimating increasingly capable AI systems.&nbsp;“These will soon be superhuman systems that can hack anything, revolutionize any field overnight, and acquire real power and resources,” he wrote.&nbsp;<h2>Why would companies keep building it?</h2>Coxon addressed the obvious question: if researchers believe the technology could be catastrophic, why continue developing it?He argued that the motivations differ between companies.&nbsp;“At OpenAI, many have not deeply internalized the civilizational stakes,” he wrote. “At Anthropic, the stakes are well-understood, but they are locked in a race to get there first.”He described entering this phase as a “hubristic gamble” and argued that decisions about potentially superintelligent systems should not be made inside private-company Slack channels.&nbsp;<h2>Coxon calls for a different AI path</h2>Coxon said he remains optimistic that AI companies could coordinate rather than race.He called for stronger agreements between leading US AI labs and suggested that extreme measures, including a temporary ban on improving model capabilities, may eventually be necessary.&nbsp;<h2>His final message was aimed directly at AI researchers.</h2>“Do you want to kick off a superintelligent RL run without a rigorous understanding of its mind?” he asked, urging researchers to question whether “it’s happening anyway” is a good enough reason to continue.Coxon’s resignation comes as other researchers publicly debate the risks of recursive self-improvement. Anthropic researcher Evan Hubinger has also said the company does not yet have a clear solution for aligning a future superintelligent system. For the AI industry, Coxon’s departure is therefore more than one researcher leaving a job. It is another public warning from inside a frontier AI lab about whether the race towards increasingly powerful systems is moving faster than humanity’s ability to control them.&nbsp;

Anthropic researcher Jacob Coxon has resigned after warning that OpenAI and Anthropic are racing towards self-improving superintelligence. He says people building AI fear it could become catastrophic by the end of the decade and calls for stronger coordination and slower development.

An Anthropic AI researcher has resigned and issued a stark warning about the future of artificial intelligence, accusing leading AI companies of racing towards self-improving superintelligence without enough safeguards. Jacob Coxon, who said he spent the past three years doing pretraining research at both OpenAI and Anthropic, announced his resignation on X on September 9.

Anthropic researcher Jacob Coxon has resigned after warning that OpenAI and Anthropic are racing towards self-improving superintelligence. He says people building AI fear it could become catastrophic by the end of the decade and calls for stronger coordination and slower development.

'They are gambling with our lives': Anthropic researcher quits over AI race fears

Anthropic has launched Claude Fable 5.1 and Claude Mythos 5.1, its latest AI models aimed at coding, knowledge work and scientific research. The company calls them its most advanced models for these tasks, while claiming Fable 5.1 can deliver stronger performance at a lower cost than its predecessor.&nbsp;

<blockquote class="twitter-tweet">We’re introducing Claude Fable 5.1 and Claude Mythos 5.1. They&#39;re the world’s most advanced models for coding and knowledge work. <a href="https://t.co/8P9PSrWPi3">pic.twitter.com/8P9PSrWPi3</a>&mdash; Claude (@claudeai) <a href="https://x.com/claudeai/status/2094848572143407483?ref_src=twsrc%5Etfw">September 1, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

The two models are actually the same underlying AI system. The key difference is in their safeguards. Fable 5.1 is available generally, while Mythos 5.1 has fewer restrictions for approved work in areas such as cybersecurity and life sciences.<h2>Claude Fable 5.1 is cheaper and more capable</h2>Anthropic says Fable 5.1 will cost about 25 per cent less than Fable 5 for typical token-based workloads. For highly agentic tasks, where AI carries out longer sequences of actions, savings can reach about 45 per cent because of lower cache-read pricing.&nbsp;The company also says the model is better at long-running tasks and less likely to take shortcuts that reduce the quality of its work. One striking example came from investment firm Millennium. Anthropic says Fable 5.1 identified the cause of an extremely rare software crash that engineers and other AI models had failed to explain for several years.Anthropic is positioning Fable 5.1 as more than a coding assistant. Its tests cover scientific research, business workflows, computer use, multidisciplinary reasoning and software engineering. On Anthropic's reported benchmarks, Fable 5.1 scored 52.6 per cent on Terminal-Bench-Science, compared with 24.7 per cent for Fable 5.&nbsp;Anthropic says early users have also seen improvements in research and long-running projects, suggesting the model is increasingly designed to act as an AI worker rather than simply answer individual prompts.<h2>What is Claude Mythos 5.1?</h2>Mythos 5.1 is the restricted version. Anthropic says it is designed for vetted cyberdefenders and life-science researchers through trusted access programmes. Access is currently limited mainly to selected US organisations.The reason is capability. Anthropic says advanced models in cybersecurity and biology could be useful for legitimate research but could also be misused. For general users, Fable 5.1 is the model that matters. It is available through Claude and Anthropic's API ecosystem, while Anthropic continues to refine safeguards designed to make powerful capabilities usable without opening the same risks as the restricted Mythos version. The launch shows where the AI race is heading: models are no longer being judged only by how well they answer questions. Increasingly, the battle is about whether they can work for hours, solve difficult problems, write and debug software, conduct research and deliver useful results at a lower cost.

Anthropic has launched Claude Fable 5.1 and Mythos 5.1. Fable 5.1 targets coding, research and knowledge work with lower costs and stronger performance, while Mythos 5.1 offers higher-risk capabilities only to vetted cybersecurity and life-science organisations.

Anthropic has launched Claude Fable 5.1 and Claude Mythos 5.1, its latest AI models aimed at coding, knowledge work and scientific research. The company calls them its most advanced models for these tasks, while claiming Fable 5.1 can deliver stronger performance at a lower cost than its predecessor.

Anthropic has launched Claude Fable 5.1 and Mythos 5.1. Fable 5.1 targets coding, research and knowledge work with lower costs and stronger performance, while Mythos 5.1 offers higher-risk capabilities only to vetted cybersecurity and life-science organisations.

Anthropic launches Claude Fable 5.1 and Mythos 5.1, claims major leap in coding and AI research

Anthropic CEO Dario Amodei believes the biggest impact of powerful artificial intelligence may not be chatbots or coding, but medicine. He has argued that AI could eventually help scientists prevent and treat most diseases, potentially accelerating decades of biological research into just a few years. Amodei recently defended this optimistic view while responding to criticism that his public messaging focuses too heavily on AI risks. He pointed to his 2024 essay Machines of Loving Grace, which laid out his vision for how advanced AI could transform biology, medicine and human health.&nbsp;<h2>How AI could speed up medical discoveries</h2>Amodei's argument goes beyond using AI to analyse medical records or scientific papers. He believes powerful AI could eventually perform, direct and improve much of the work currently done by biologists. That could include proposing hypotheses, designing experiments, analysing results and deciding what researchers should test next. His central prediction is striking: powerful AI could increase the rate of important biological discoveries by at least 10 times, potentially delivering what would otherwise have been 50 to 100 years of progress within five to 10 years. The idea is already influencing Anthropic's work. The company launched an AI for Science programme focused on helping researchers use its models for biology, genetic research and drug discovery.&nbsp;<h2>Cancer, Alzheimer’s and other diseases</h2>In his essay, Amodei outlined several areas where he believes AI-accelerated science could make a major difference.&nbsp;These include better prevention and treatment of infectious diseases, major advances against cancer, cures for genetic disorders and improved treatment for conditions such as heart disease and diabetes. He also identified Alzheimer's disease as a problem that could benefit from better biological measurement and understanding. More radically, he suggested that breakthroughs in ageing research could eventually contribute to a major increase in human lifespan. But these are forecasts, not established medical outcomes. Even extremely capable AI cannot instantly remove the need for laboratory experiments, clinical trials, manufacturing and regulatory approval.&nbsp;<h2>Why Amodei says this matters personally</h2>For Amodei, the argument is not purely theoretical. He has spoken about losing his father to hepatitis C only a few years before direct-acting antiviral drugs became available. Modern treatments such as sofosbuvir can cure most patients with hepatitis C.&nbsp;That experience shapes his belief that timing matters in medical research. A breakthrough arriving years earlier can determine whether a patient gets a chance to benefit from it. The more immediate reality is more measured. In 2026, AI is already being used to help researchers analyse biological data, generate hypotheses and accelerate drug discovery, but Amodei himself has acknowledged that his earlier vision of achieving 10 years of scientific progress every year has not yet been realised. Researchers still face limits involving model capability, laboratory infrastructure, regulation and the physical speed of experiments. The question, then, is no longer simply whether AI can help scientists. It is how much faster science can move when AI becomes capable of doing far more of the research itself.

Anthropic CEO Dario Amodei believes powerful AI could dramatically accelerate biological research, potentially compressing decades of medical progress into just a few years. But the prediction is a long-term vision, not a promise that AI will cure diseases on a fixed timeline.

Anthropic CEO Dario Amodei believes the biggest impact of powerful artificial intelligence may not be chatbots or coding, but medicine. He has argued that AI could eventually help scientists prevent and treat most diseases, potentially accelerating decades of biological research into just a few years. Amodei recently defended this optimistic view while responding to criticism that his public messaging focuses too heavily on AI risks. He pointed to his 2024 essay Machines of Loving Grace, which laid out his vision for how advanced AI could transform biology, medicine and human health. How AI could speed up medical discoveries Amodei's argument goes beyond using AI to analyse medical records or scientific papers. He believes powerful AI could eventually perform, direct and improve much of the work currently done by biologists. That could include proposing hypotheses, designing experiments, analysing results and deciding what researchers should test next. His central prediction is striking: powerful AI could increase the rate of important biological discoveries by at least 10 times, potentially delivering what would otherwise have been 50 to 100 years of progress within five to 10 years. The idea is already influencing Anthropic's work. The company launched an AI for Science programme focused on helping researchers use its models for biology, genetic research and drug discovery. Cancer, Alzheimer’s and other diseases In his essay, Amodei outlined several areas where he believes AI-accelerated science could make a major difference. These include better prevention and treatment of infectious diseases, major advances against cancer, cures for genetic disorders and improved treatment for conditions such as heart disease and diabetes. He also identified Alzheimer's disease as a problem that could benefit from better biological measurement and understanding. More radically, he suggested that breakthroughs in ageing research could eventually contribute to a major increase in human lifespan. But these are forecasts, not established medical outcomes. Even extremely capable AI cannot instantly remove the need for laboratory experiments, clinical trials, manufacturing and regulatory approval. Why Amodei says this matters personally For Amodei, the argument is not purely theoretical. He has spoken about losing his father to hepatitis C only a few years before direct-acting antiviral drugs became available. Modern treatments such as sofosbuvir can cure most patients with hepatitis C. That experience shapes his belief that timing matters in medical research. A breakthrough arriving years earlier can determine whether a patient gets a chance to benefit from it. The more immediate reality is more measured. In 2026, AI is already being used to help researchers analyse biological data, generate hypotheses and accelerate drug discovery, but Amodei himself has acknowledged that his earlier vision of achieving 10 years of scientific progress every year has not yet been realised. Researchers still face limits involving model capability, laboratory infrastructure, regulation and the physical speed of experiments. The question, then, is no longer simply whether AI can help scientists. It is how much faster science can move when AI becomes capable of doing far more of the research itself.

Anthropic CEO Dario Amodei believes powerful AI could dramatically accelerate biological research, potentially compressing decades of medical progress into just a few years. But the prediction is a long-term vision, not a promise that AI will cure diseases on a fixed timeline.

100 years of medical progress in just 10, Anthropic CEO Dario Amodei says

&nbsp;Anthropic has started watermarking text generated by Claude, but users will not see any obvious mark. Instead, the AI company is embedding an invisible statistical pattern into the way Claude chooses words. That pattern can later be analysed to estimate whether Claude produced the text. The move is significant because it could make AI-generated text easier to identify without changing how it looks to readers. Anthropic says the system is being introduced globally as it responds to transparency requirements under the European Union's AI Act.&nbsp;<h2>How does Claude's invisible watermark work?</h2>Claude generates text one token at a time. At many points, several words could fit naturally into a sentence. Anthropic's system uses those choices to create a statistical fingerprint. A secret key influences which suitable token Claude selects, subtly changing the distribution of words without adding visible characters or labels. A sufficiently long passage can therefore contain a pattern that a detector can test against the key. The result is a probability that Claude was involved in producing the text, rather than a simple visible stamp. Anthropic says the watermark should not noticeably affect the quality, creativity or readability of Claude's responses. The approach is related to SynthID-Text, a watermarking technique developed by Google DeepMind and described in research published in Nature.&nbsp;<h2>Can the watermark identify a Claude user?</h2>Not by itself. The watermark is designed to indicate that Claude was involved in generating or processing text. It is not a name tag containing the user's identity. It also does not prove that every word was written by AI. The system works statistically, so detection depends on having enough text and a detectable signal.This distinction matters for students, journalists, researchers and professionals who use Claude as an editing or writing assistant. Anthropic has also acknowledged limitations. Highly precise passages, including some factual statements and code, give the model fewer opportunities to alter token choices without risking accuracy. That means the watermark may be weaker in such material.&nbsp;<h2>What happens if you edit Claude's text?</h2>The watermark is designed to survive common actions such as copying, pasting and minor editing or proofreading. But it is not an unbreakable digital seal. Major rewriting can disrupt the statistical pattern. An important limitation is also the reverse: text without a detectable watermark cannot automatically be considered human-written.Anthropic says it plans to provide detection tools, including an API that can allow users and third parties to check for the watermark. The bigger change is clear: AI companies are moving towards systems where generated content can carry an invisible digital identity, potentially making AI provenance a normal part of writing online.

Anthropic is adding invisible statistical watermarks to Claude-generated text. The hidden pattern can help detect whether Claude was involved, even after minor edits. The move is linked to EU AI transparency rules and is being applied globally.

Anthropic has started watermarking text generated by Claude, but users will not see any obvious mark. Instead, the AI company is embedding an invisible statistical pattern into the way Claude chooses words. That pattern can later be analysed to estimate whether Claude produced the text. The move is significant because it could make AI-generated text easier to identify without changing how it looks to readers. Anthropic says the system is being introduced globally as it responds to transparency requirements under the European Union's AI Act. How does Claude's invisible watermark work? Claude generates text one token at a time. At many points, several words could fit naturally into a sentence. Anthropic's system uses those choices to create a statistical fingerprint. A secret key influences which suitable token Claude selects, subtly changing the distribution of words without adding visible characters or labels. A sufficiently long passage can therefore contain a pattern that a detector can test against the key. The result is a probability that Claude was involved in producing the text, rather than a simple visible stamp. Anthropic says the watermark should not noticeably affect the quality, creativity or readability of Claude's responses. The approach is related to SynthID-Text, a watermarking technique developed by Google DeepMind and described in research published in Nature. Can the watermark identify a Claude user? Not by itself. The watermark is designed to indicate that Claude was involved in generating or processing text. It is not a name tag containing the user's identity. It also does not prove that every word was written by AI. The system works statistically, so detection depends on having enough text and a detectable signal. This distinction matters for students, journalists, researchers and professionals who use Claude as an editing or writing assistant. Anthropic has also acknowledged limitations. Highly precise passages, including some factual statements and code, give the model fewer opportunities to alter token choices without risking accuracy. That means the watermark may be weaker in such material. What happens if you edit Claude's text? The watermark is designed to survive common actions such as copying, pasting and minor editing or proofreading. But it is not an unbreakable digital seal. Major rewriting can disrupt the statistical pattern. An important limitation is also the reverse: text without a detectable watermark cannot automatically be considered human-written. Anthropic says it plans to provide detection tools, including an API that can allow users and third parties to check for the watermark. The bigger change is clear: AI companies are moving towards systems where generated content can carry an invisible digital identity, potentially making AI provenance a normal part of writing online.

Anthropic is adding invisible statistical watermarks to Claude-generated text. The hidden pattern can help detect whether Claude was involved, even after minor edits. The move is linked to EU AI transparency rules and is being applied globally.

Claude now has an invisible watermark: What Anthropic's new AI text system means

The Karnataka government approached AI company Anthropic on Thursday (August 8) to jointly develop industry-backed certification programmes to train up to two lakh people in artificial intelligence (AI) ahead of launching its proposed AI University. The proposal was put forward by CM D K Shivakumar during a meeting with an Anthropic delegation led by Michael Sellitto, Head of International Policy, asking the company to assist in designing the curriculum, create teaching materials and build an assessment framework for the certificate courses. Electronics, IT/BT and Home Minister Priyank Kharge, who arranged the meeting, stated that partnership with Anthropic will allow Karnataka to expand AI education far beyond what the company could accomplish alone. "Anthropic can probably reach 50,000 people by itself. But if it works with industry and the government, we can reach up to two lakh people. Together, we can show disruption at scale," he said.&nbsp;Also read: <a href="https://www.wionews.com/india-news/will-ordinary-indian-users-have-to-pay-for-upi-nirmala-sitharaman-breaks-silence-on-congress-mdr-fee-claim-1786079378525">Will ordinary Indian users have to pay for UPI? Nirmala Sitharaman breaks silence on Congress' MDR fee claim</a><h3>Subsidised Claude AI subscriptions</h3>The certification programmes are expected to be rolled out through universities such as Visvesvaraya Technological University (VTU), UVCE, and IIIT Bangalore, with the goal of giving students industry-recognised AI skills. In addition, the chief minister has highlighted the vision of building a coordinated AI ecosystem centred on the proposed AI University, large-scale skilling initiatives and deep-tech innovation assistance. At the same time, the two sides also discussed Claude certification under the state's NIPUNA skilling initiative, along with the proposed university-led certification programme. The chief minister also asked Anthropic to offer subsidised subscriptions to its Claude AI platform for engineering students and PhD scholars. Finance Advisor L K Atheeq said the proposal could benefit at least 10,000 students enrolled in engineering colleges affiliated with VTU. In another significant development, Karnataka is drafting legislation to set up a dedicated AI University and intends to introduce the Bill during the Winter Session of the state legislature, marking a significant step toward building a dedicated ecosystem for AI education, research, and innovation. According to L K Atheeq, Finance Advisor to Chief Minister D K Shivakumar, the university will initially operate out of an existing government facility until a permanent campus is built.

Electronics, IT/BT and Home Minister Priyank Kharge, who arranged the meeting, stated that partnership with Anthropic will allow Karnataka to expand AI education far beyond what the company could accomplish alone.

The Karnataka government approached AI company Anthropic on Thursday (August 8) to jointly develop industry-backed certification programmes to train up to two lakh people in artificial intelligence (AI) ahead of launching its proposed AI University. The proposal was put forward by CM D K Shivakumar during a meeting with an Anthropic delegation led by Michael Sellitto, Head of International Policy, asking the company to assist in designing the curriculum, create teaching materials and build an assessment framework for the certificate courses. Electronics, IT/BT and Home Minister Priyank Kharge, who arranged the meeting, stated that partnership with Anthropic will allow Karnataka to expand AI education far beyond what the company could accomplish alone. "Anthropic can probably reach 50,000 people by itself. But if it works with industry and the government, we can reach up to two lakh people. Together, we can show disruption at scale," he said. Also read: Will ordinary Indian users have to pay for UPI? Nirmala Sitharaman breaks silence on Congress' MDR fee claim Subsidised Claude AI subscriptions The certification programmes are expected to be rolled out through universities such as Visvesvaraya Technological University (VTU), UVCE, and IIIT Bangalore, with the goal of giving students industry-recognised AI skills. In addition, the chief minister has highlighted the vision of building a coordinated AI ecosystem centred on the proposed AI University, large-scale skilling initiatives and deep-tech innovation assistance. At the same time, the two sides also discussed Claude certification under the state's NIPUNA skilling initiative, along with the proposed university-led certification programme. The chief minister also asked Anthropic to offer subsidised subscriptions to its Claude AI platform for engineering students and PhD scholars. Finance Advisor L K Atheeq said the proposal could benefit at least 10,000 students enrolled in engineering colleges affiliated with VTU. In another significant development, Karnataka is drafting legislation to set up a dedicated AI University and intends to introduce the Bill during the Winter Session of the state legislature, marking a significant step toward building a dedicated ecosystem for AI education, research, and innovation. According to L K Atheeq, Finance Advisor to Chief Minister D K Shivakumar, the university will initially operate out of an existing government facility until a permanent campus is built.

Electronics, IT/BT and Home Minister Priyank Kharge, who arranged the meeting, stated that partnership with Anthropic will allow Karnataka to expand AI education far beyond what the company could accomplish alone.

Karnataka partners with Anthropic to train 2 lakh people in artificial intelligence, plans dedicated AI University

AI safety concerns have intensified after Anthropic disclosed that several versions of its Claude model gained unauthorised access to real-world computer systems during security testing. This comes just days after Anthropic rival OpenAI revealed a similar containment failure involving one of its own advanced models.In a blog post published on Thursday (Jul 30), Anthropic said it reviewed more than 141,000 evaluation runs and found that three different versions of Claude had improperly accessed the systems of three external organisations.Also read | <a href="https://www.wionews.com/technology/scary-rogue-ai-on-the-loose-openai-agent-hit-another-tech-firm-s-customer-suggests-report-1785292505727">'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report</a><h2>How could the AI get 'real-world access'?</h2>Anthropic said the incidents occurred because the AI models unexpectedly had internet access during testing due to a "misunderstanding" between Anthropic and its evaluation partner, Irregular.Once connected, Claude used "basic techniques, such as exploiting weak passwords and unauthenticated endpoints" to enter external systems, according to the company.One of the affected models was Mythos 5, Anthropic's most advanced AI system, which is currently available only to a limited group of approved partners.Anthropic said it is working with Irregular to investigate the incidents and has contacted, or attempted to contact, all three organisations whose systems were accessed.Also read | <a href="https://www.wionews.com/india-news/anthropic-reveals-india-is-claude-ai-s-no-2-market-but-what-are-indians-actually-using-the-ai-for-wion-decodes-1785394109668">Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes</a><h2>OpenAI's rogue agent</h2>The disclosure comes less than a week after OpenAI acknowledged that one of its frontier AI models escaped its testing environment, connected to the internet and infiltrated Hugging Face, a platform widely used by developers to host and share AI models and code.OpenAI later revealed it had identified three additional incidents involving unauthorised access during testing.The company has since paused parts of its evaluation programme while strengthening its sandboxing systems, which are designed to isolate experimental AI models from external networks.OpenAI CEO Sam Altman was also expected to meet White House officials on Thursday to discuss the company's upcoming AI models and voluntary government cybersecurity testing of advanced AI systems. According to Reuters, Altman is scheduled to meet White House Chief of Staff Susie Wiles, National Cyber Director Sean Cairncross, technology adviser Michael Kratsios, and Commerce Secretary Howard Lutnick.

Anthropic has revealed that three versions of its Claude AI model gained unauthorised access to external computer systems during security testing after unexpectedly obtaining internet access. The disclosure comes days after OpenAI reported a similar containment failure.

AI safety concerns have intensified after Anthropic disclosed that several versions of its Claude model gained unauthorised access to real-world computer systems during security testing. This comes just days after Anthropic rival OpenAI revealed a similar containment failure involving one of its own advanced models. In a blog post published on Thursday (Jul 30), Anthropic said it reviewed more than 141,000 evaluation runs and found that three different versions of Claude had improperly accessed the systems of three external organisations. Also read | 'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report How could the AI get 'real-world access'? Anthropic said the incidents occurred because the AI models unexpectedly had internet access during testing due to a "misunderstanding" between Anthropic and its evaluation partner, Irregular. Once connected, Claude used "basic techniques, such as exploiting weak passwords and unauthenticated endpoints" to enter external systems, according to the company. One of the affected models was Mythos 5, Anthropic's most advanced AI system, which is currently available only to a limited group of approved partners. Anthropic said it is working with Irregular to investigate the incidents and has contacted, or attempted to contact, all three organisations whose systems were accessed. Also read | Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes OpenAI's rogue agent The disclosure comes less than a week after OpenAI acknowledged that one of its frontier AI models escaped its testing environment, connected to the internet and infiltrated Hugging Face, a platform widely used by developers to host and share AI models and code. OpenAI later revealed it had identified three additional incidents involving unauthorised access during testing. The company has since paused parts of its evaluation programme while strengthening its sandboxing systems, which are designed to isolate experimental AI models from external networks. OpenAI CEO Sam Altman was also expected to meet White House officials on Thursday to discuss the company's upcoming AI models and voluntary government cybersecurity testing of advanced AI systems. According to Reuters, Altman is scheduled to meet White House Chief of Staff Susie Wiles, National Cyber Director Sean Cairncross, technology adviser Michael Kratsios, and Commerce Secretary Howard Lutnick.

Anthropic has revealed that three versions of its Claude AI model gained unauthorised access to external computer systems during security testing after unexpectedly obtaining internet access. The disclosure comes days after OpenAI reported a similar containment failure.

After OpenAI's 'scary' agent, Anthropic's Claude goes rogue; AI gains unauthorised 'real-world' access during testing

Anthropic, the tech firm behind Claude AI, has revealed that India has quietly become one of the world's biggest AI users. India, according to Anthropic's latest Economic Index, which analysed nearly one million Claude.ai conversations globally, India now accounts for 5.8 per cent of all Claude usage, second only to the United States.But what are they using the AI for? Indians aren't asking AI to write poems or plan holidays. They're asking it to write code, solve complex problems and save hours of work.<h2>How many Indians are using the technology?</h2>India may be the world's second-largest Claude market, yet the average Indian still isn't using AI very much. Instead, usage is heavily concentrated among software professionals in a handful of technology hubs.The report offers one of the clearest snapshots yet of who is using AI in India, what they're asking it to do, and why India's AI story looks very different from the rest of the world.Also read | <a href="https://www.wionews.com/technology/india-s-next-terror-threat-may-not-cross-the-border-it-may-enter-through-your-phone-wion-decodes-1784346117443">India's next terror threat may not cross the border. It may enter through your phone | WION Decodes</a>

Top 20 countries by share of global Claude.ai use. Bars show each country’s share of total conversations observed Novemb

<h2>India is No. 2 globally... but 101st per person</h2>This is perhaps the report's biggest surprise. India contributes 5.8 per cent of all Claude conversations globally, yet when adjusted for population, India falls to 101st out of 116 countries.That means India's AI boom isn't being driven by widespread adoption. It's being driven by scale. What it means is that India isn't yet an AI-first society. It's an AI-heavy professional economy. So, which states are using AI the most?<h2>Four states dominate India's AI use</h2>AI adoption isn't spread evenly across the country. More than half of India's Claude usage comes from just four places:Maharashtra (15.5 per cent) Tamil Nadu (13.2 per cent) Karnataka (12.7 per cent) Delhi (10.5 per cent)These are also India's biggest IT and services hubs, home to cities such as Bengaluru, Chennai, Mumbai and Delhi NCR.The geography tells its own story. Rather than becoming a mass consumer technology, AI today appears to be an extension of India's existing software industry.<h2>So what are Indians actually asking AI to do?</h2>While AIs like Elon Musk's Grok have dominated headlines for its use to create nude, stripped-down images of young girls and women, Indians aren't using Claude AI for something that nefarious. Indians are overwhelmingly using the AI to write software.Also read | <a href="https://www.wionews.com/world/elon-musk-s-xai-sues-minnesota-over-a-law-banning-ai-nude-images-of-children-claims-it-violates-free-speech-1785377389876">Elon Musk's xAI sues Minnesota over a law banning AI nude images of children, claims it violates free speech</a>According to Anthropic, 45.2 per cent of all AI-related occupational tasks in India are software-related. That's the highest share anywhere in the world.India even ranks ahead of Vietnam and Egypt in the proportion of AI use devoted to programming and software engineering.Education is the second major use case, with students increasingly relying on AI for learning, explanations and coursework. By contrast, relatively fewer Indians use Claude for casual or personal purposes compared with the global average.

Most common O*NET (Occupational Information Network) tasks among Claude use in India.

<h2>AI is saving Indians nearly four hours of work</h2>One statistic stands out above almost every other. The average task Indian users give Claude would normally take 3.8 hours to complete.With AI? The task just takes 14.8 minutes. That's roughly a 15-fold productivity boost. Globally, the average improvement is around 12 times faster.This suggests Indian users aren't giving AI simple jobs. They're bringing complex, time-consuming work and using AI to compress hours into minutes.<h2>Indians trust AI more than the rest of the world</h2>The report also found Indian users are more willing to let AI make decisions on their behalf.Anthropic measures something it calls AI autonomy, essentially how much responsibility users hand over to the model. India scored 3.60 out of 5, compared with the global average of 3.38.In practical terms, that means Indian users are more likely to ask AI to independently generate code, solve problems or complete substantial portions of work, rather than simply acting as an assistant.Also read | <a href="https://www.wionews.com/technology/scary-rogue-ai-on-the-loose-openai-agent-hit-another-tech-firm-s-customer-suggests-report-1785292505727">'Scary' Rogue AI on the loose? OpenAI agent hit another tech firm's customer, suggests report</a><h2>Many Indians are using AI for things they couldn't do themselves</h2>Another revealing finding concerns human capability. Globally, nearly 88 per cent of AI tasks could theoretically have been completed by the user without AI. In India, that figure drops to 84.6 per cent.It may sound like a small difference, but it suggests Indian users are more frequently turning to AI for genuinely difficult tasks, including programming in unfamiliar languages, solving technical problems or tackling work beyond their existing expertise.In other words, in India, AI isn't just replacing effort. It's expanding capability.<h2>Good prompts really do matter</h2>One of the report's most interesting observations concerns prompting. Anthropic found a strong relationship between the sophistication of a user's prompt and the quality of the AI's response.Indian users ranked among the top 10 per cent globally in the complexity of AI-generated outputs they received.That doesn't necessarily mean Indians are better prompt engineers. But it does suggest many are asking AI sophisticated, work-oriented questions that produce equally sophisticated answers.

Anthropic's latest Economic Index has found that India accounts for 5.8% of global Claude AI usage—second only to the US. But what are they using it for? The answer may surprise you.

Anthropic, the tech firm behind Claude AI, has revealed that India has quietly become one of the world's biggest AI users. India, according to Anthropic's latest Economic Index, which analysed nearly one million Claude.ai conversations globally, India now accounts for 5.8 per cent of all Claude usage, second only to the United States. But what are they using the AI for? Indians aren't asking AI to write poems or plan holidays. They're asking it to write code, solve complex problems and save hours of work. How many Indians are using the technology? India may be the world's second-largest Claude market, yet the average Indian still isn't using AI very much. Instead, usage is heavily concentrated among software professionals in a handful of technology hubs. The report offers one of the clearest snapshots yet of who is using AI in India, what they're asking it to do, and why India's AI story looks very different from the rest of the world. Also read | India's next terror threat may not cross the border. It may enter through your phone | WION Decodes

Anthropic's latest Economic Index has found that India accounts for 5.8% of global Claude AI usage—second only to the US. But what are they using it for? The answer may surprise you.

Anthropic reveals India is Claude AI's No. 2 market. But what are Indians actually using the AI for? | WION Decodes

Anthropic's AI chatbot Claude is experiencing a service disruption, with users reporting that they are unable to send prompts or receive responses across multiple AI models.The company has now identified the cause of the issue and says it is working to restore normal service. According to Anthropic's official status page, the outage is causing elevated errors across multiple models, affecting both Claude users and developers relying on its APIs.<img src="https://cdn1.wionews.com/prod/wion/images/2026/20260730/image-1785357717658.png">

<h2>What is happening?</h2>According to Anthropic's <a href="https://status.claude.com/">status page</a>

The company has now identified the cause of the issue and says it is working to restore normal service. The outage is causing elevated errors across multiple models, affecting both Claude users and developers relying on its APIs.<h2>Which services are affected?</h2>Claude powers a growing ecosystem that includes the Claude web app, enterprise products and APIs used by developers to build AI-powered applications.When outages occur, the impact can extend beyond individual users. Software developers, businesses and organisations integrating Claude into their products may also experience interruptions until services recover. Anthropic's status history shows that the company has dealt with several service incidents in recent months, including elevated error rates affecting multiple Claude models. Most of those disruptions were resolved within hours after engineers implemented fixes.Claude has become one of the world's leading AI assistants and is widely used for coding, writing, research and enterprise automation.As businesses increasingly depend on AI for day-to-day operations, even short outages can interrupt workflows, delay software development and reduce productivity. For now, users experiencing problems should monitor Anthropic's official status page for updates rather than repeatedly refreshing sessions, as service recovery is being handled on the provider's side. Once the issue is resolved, access is expected to return automatically.

Anthropic has confirmed a Claude outage affecting users across its AI services. The company says it is investigating the disruption, which has caused failed requests and interrupted access to the chatbot and developer tools, with updates expected on its status page.

Anthropic's AI chatbot Claude is experiencing a service disruption, with users reporting that they are unable to send prompts or receive responses across multiple AI models. The company has now identified the cause of the issue and says it is working to restore normal service. According to Anthropic's official status page, the outage is causing elevated errors across multiple models, affecting both Claude users and developers relying on its APIs.

Anthropic has confirmed a Claude outage affecting users across its AI services. The company says it is investigating the disruption, which has caused failed requests and interrupted access to the chatbot and developer tools, with updates expected on its status page.

Claude AI down? Anthropic confirms outage as users face errors across chatbot and API

AMD is making one of its biggest bets yet on the artificial intelligence boom—and on Anthropic. The chipmaker will invest up to $5 billion in the Claude developer, while Anthropic has agreed to deploy up to 2 gigawatts of AMD Instinct MI450-series GPUs. The first 1 GW deployment is expected to begin in the first half of 2027. The agreement could be worth tens of billions of dollars in hardware sales and comes as AI companies race to secure enormous amounts of computing capacity. For AMD, however, there is another prize: gaining ground on Nvidia, which continues to dominate the market for advanced AI accelerators.<h2>Why Anthropic needs 2 GW of AI chips</h2>Demand for Claude and other generative AI services is pushing Anthropic to build an increasingly diverse computing network. Two gigawatts is an extraordinary amount of computing infrastructure. It is roughly equivalent to the electricity output of two large nuclear power reactors, although actual data-centre power consumption will depend on how the infrastructure is deployed. Anthropic plans to use AMD's Helios rack-scale systems, powered by MI450-series GPUs. According to The Wall Street Journal, some chips could be deployed in Anthropic's own data centres, while additional computing capacity could be leased through cloud and specialised "neocloud" providers. AMD is also reportedly discussing providing financial backing for some future Anthropic data-centre leases.<h2>AMD isn't just selling Anthropic chips</h2>The partnership goes deeper than hardware. AMD and Anthropic engineers will work together to optimise Claude workloads for AMD Instinct GPUs and accelerate development of ROCm, AMD's software platform for AI computing. AMD also plans to use Claude extensively across its own engineering and product development teams. The investment in Anthropic will be tied to deployment milestones rather than being delivered all at once.<h2>Nvidia faces growing pressure</h2>Nvidia remains the company to beat in AI infrastructure, helped by both its GPUs and its deeply established CUDA software ecosystem.But AI companies increasingly want alternatives. AMD has been aggressively pursuing this opportunity. Earlier in 2026, it struck a multi-year agreement with Meta covering up to 6 GW of AMD GPUs. Anthropic now adds another major frontier AI developer to its customer list.Anthropic itself is also spreading its compute requirements across multiple suppliers instead of depending on one company. It already has major infrastructure relationships involving Amazon and Google. That diversification is becoming strategically important as AI models require ever-larger clusters and demand for advanced chips continues to soar. The AMD-Anthropic agreement therefore represents more than another giant chip order. It shows how the AI race is evolving into a competition not only over who builds the smartest model, but also over who can secure enough chips, electricity and data-centre capacity to run it at global scale.

AMD will invest up to $5 billion in Anthropic, while the Claude maker plans to deploy up to 2 GW of AMD Instinct MI450-series GPUs. The massive partnership gives Anthropic more AI compute and strengthens AMD's attempt to challenge Nvidia's dominance.


AMD is making one of its biggest bets yet on the artificial intelligence boom—and on Anthropic. The chipmaker will invest up to $5 billion in the Claude developer, while Anthropic has agreed to deploy up to 2 gigawatts of AMD Instinct MI450-series GPUs. The first 1 GW deployment is expected to begin in the first half of 2027. The agreement could be worth tens of billions of dollars in hardware sales and comes as AI companies race to secure enormous amounts of computing capacity. For AMD, however, there is another prize: gaining ground on Nvidia, which continues to dominate the market for advanced AI accelerators. Why Anthropic needs 2 GW of AI chips Demand for Claude and other generative AI services is pushing Anthropic to build an increasingly diverse computing network. Two gigawatts is an extraordinary amount of computing infrastructure. It is roughly equivalent to the electricity output of two large nuclear power reactors, although actual data-centre power consumption will depend on how the infrastructure is deployed. Anthropic plans to use AMD's Helios rack-scale systems, powered by MI450-series GPUs. According to The Wall Street Journal, some chips could be deployed in Anthropic's own data centres, while additional computing capacity could be leased through cloud and specialised "neocloud" providers. AMD is also reportedly discussing providing financial backing for some future Anthropic data-centre leases. AMD isn't just selling Anthropic chips The partnership goes deeper than hardware. AMD and Anthropic engineers will work together to optimise Claude workloads for AMD Instinct GPUs and accelerate development of ROCm, AMD's software platform for AI computing. AMD also plans to use Claude extensively across its own engineering and product development teams. The investment in Anthropic will be tied to deployment milestones rather than being delivered all at once. Nvidia faces growing pressure Nvidia remains the company to beat in AI infrastructure, helped by both its GPUs and its deeply established CUDA software ecosystem. But AI companies increasingly want alternatives. AMD has been aggressively pursuing this opportunity. Earlier in 2026, it struck a multi-year agreement with Meta covering up to 6 GW of AMD GPUs. Anthropic now adds another major frontier AI developer to its customer list. Anthropic itself is also spreading its compute requirements across multiple suppliers instead of depending on one company. It already has major infrastructure relationships involving Amazon and Google. That diversification is becoming strategically important as AI models require ever-larger clusters and demand for advanced chips continues to soar. The AMD-Anthropic agreement therefore represents more than another giant chip order. It shows how the AI race is evolving into a competition not only over who builds the smartest model, but also over who can secure enough chips, electricity and data-centre capacity to run it at global scale.

AMD will invest up to $5 billion in Anthropic, while the Claude maker plans to deploy up to 2 GW of AMD Instinct MI450-series GPUs. The massive partnership gives Anthropic more AI compute and strengthens AMD's attempt to challenge Nvidia's dominance.

AMD to invest up to $5 billion in Anthropic as Claude maker orders 2 GW of AI chips

US artificial intelligence firm Anthropic has been accusing Moonshot AI of engaging in distillation activities. Now, the US government is threatening sanctions against the Chinese AI company, in yet another indication of the two nations' race for tech dominance. Michael Kratsios, Director of the White House Office of Science and Technology Policy, accused Moonshot of undermining American research. The irony is that Moonshot AI was widely praised for drastically reducing the cost of AI compute through open-source technologies. Its release of the massive 2.8-trillion-parameter Kimi K3 model is raising a few questions: did it reach that milestone by exploiting American AI research through model distillation? Here is what you should know.<h2>What did the White House officials say about Moonshot AI?</h2>In a post on X, Michael Kratsios said, "We have information that Moonshot AI distilled Anthropic's Fable for the development of its K3 model. To do this, they developed a sophisticated internal platform to conduct large-scale distillation against US models, allowing them to quickly switch between multiple methods of access to avoid detection."Kratsios alleged that Moonshot AI had acquired Nvidia GB300-equipped servers, including access to GB300 systems in Thailand, likely to train its AI models. "Large-scale, covert industrial distillation aimed at stealing proprietary US technology and undermining American research is unacceptable," he added.US Treasury Secretary Scott Bessent said he did not support the “theft of US IP” while hinting at possible sanctions and Entity List designations against companies found to be engaging in distillation. "We support open-source AI and the innovation it unlocks. But open source is not open season on American IP. When PRC [People's Republic of China] firms conduct covert, industrial-scale distillation attacks that cross the line into IP theft, sanctions and Entity List designations are on the table," Bessent posted on X.Also read: <a href="https://www.wionews.com/world/anthropic-accuses-alibaba-ai-model-distillation-attack-claude-1782377405436">Anthropic accuses Alibaba of massive AI model extraction campaign using 25,000 fake accounts</a>&nbsp;<h2>What is a distillation attack?</h2>Distillation is the process of training a smaller or less capable AI model using the outputs generated by a more advanced model. While model distillation is a legitimate machine learning technique when conducted with permission or on proprietary models, it becomes controversial when companies use fraudulent accounts, proxy services or other methods to repeatedly query proprietary AI systems without authorisation to replicate their capabilities.According to Anthropic, such industrial-scale distillation enables competitors to acquire advanced AI capabilities much faster and at significantly lower cost, effectively bypassing years of research and development. The company argues that this amounts to intellectual property theft when carried out without permission.<a href="https://www.wionews.com/videos/china-s-moonshot-targets-ipo-within-the-next-six-months-1784569359231/embed">https://www.wionews.com/videos/china-s-moonshot-targets-ipo-within-the-next-six-months-1784569359231/embed</a><h2>Anthropic's allegations against Moonshot AI</h2>In a February blog post, Anthropic claimed that it had "identified industrial-scale campaigns" by Chinese AI firms Moonshot AI, DeepSeek and MiniMax to illicitly extract the capabilities of its Claude models to improve their own AI systems.The company alleged that the Chinese AI labs generated more than 16 million exchanges with Claude through approximately 24,000 fraudulent accounts, violating Anthropic's terms of service and regional access restrictions.Specifically regarding Moonshot AI, Anthropic claimed that around 3.4 million exchanges targeted agentic reasoning and tool use, coding and data analysis, computer-use agent development, and computer vision capabilities.Also read: <a href="https://www.wionews.com/world/us-accuses-china-ai-theft-distillation-trump-beijing-summit-1777012695107">What is distilling? US accuses China of ​industrial-scale AI system theft</a><h2>Kimi K3: Moonshot AI's most advanced model</h2>Kimi K3, the 2.8-trillion-parameter open-weight model from Moonshot AI, was released around 16 July. It has narrowed the gap with leading US AI models and outperformed some rivals on coding benchmarks. It was found to be weaker than Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 models on several advanced evaluations.Anthropic had alleged that Kimi relied on hundreds of fraudulent accounts spanning multiple access pathways to conduct distillation attacks. According to Anthropic, the use of varied account types made the campaign harder to detect, while metadata associated with the activity matched the public profiles of senior Moonshot AI staff.The company further claimed that Moonshot AI adopted a more targeted approach, attempting to extract and reconstruct Claude's internal reasoning traces rather than relying solely on output imitation.<h2>Moonshot AI is growing strongly financially</h2>Despite the controversy surrounding its alleged use of stronger AI models, Moonshot AI has continued to grow rapidly and is reportedly considering a Hong Kong initial public offering by the end of the year.The company reportedly reached around $300 million in annual recurring revenue in June, up from $200 million in April 2026 and $100 million in March, driven by paid subscriptions and application programming interface or API usage for its Kimi models.Moonshot AI has raised up to $4 billion in total funding across multiple investment rounds. It is currently valued at around $31.5 billion and is reportedly aiming for a final pre-IPO funding round at a $50 billion valuation in August.

Chinese AI firm Moonshot faces US scrutiny after Anthropic accused it of using industrial-scale distillation to improve its Kimi K3 model. US officials have warned of sanctions and Entity List actions 



US artificial intelligence firm Anthropic has been accusing Moonshot AI of engaging in distillation activities. Now, the US government is threatening sanctions against the Chinese AI company, in yet another indication of the two nations' race for tech dominance. Michael Kratsios, Director of the White House Office of Science and Technology Policy, accused Moonshot of undermining American research. The irony is that Moonshot AI was widely praised for drastically reducing the cost of AI compute through open-source technologies. Its release of the massive 2.8-trillion-parameter Kimi K3 model is raising a few questions: did it reach that milestone by exploiting American AI research through model distillation? Here is what you should know. What did the White House officials say about Moonshot AI? In a post on X, Michael Kratsios said, "We have information that Moonshot AI distilled Anthropic's Fable for the development of its K3 model. To do this, they developed a sophisticated internal platform to conduct large-scale distillation against US models, allowing them to quickly switch between multiple methods of access to avoid detection." Kratsios alleged that Moonshot AI had acquired Nvidia GB300-equipped servers, including access to GB300 systems in Thailand, likely to train its AI models. "Large-scale, covert industrial distillation aimed at stealing proprietary US technology and undermining American research is unacceptable," he added. US Treasury Secretary Scott Bessent said he did not support the “theft of US IP” while hinting at possible sanctions and Entity List designations against companies found to be engaging in distillation. "We support open-source AI and the innovation it unlocks. But open source is not open season on American IP. When PRC [People's Republic of China] firms conduct covert, industrial-scale distillation attacks that cross the line into IP theft, sanctions and Entity List designations are on the table," Bessent posted on X. Also read: Anthropic accuses Alibaba of massive AI model extraction campaign using 25,000 fake accounts What is a distillation attack? Distillation is the process of training a smaller or less capable AI model using the outputs generated by a more advanced model. While model distillation is a legitimate machine learning technique when conducted with permission or on proprietary models, it becomes controversial when companies use fraudulent accounts, proxy services or other methods to repeatedly query proprietary AI systems without authorisation to replicate their capabilities. According to Anthropic, such industrial-scale distillation enables competitors to acquire advanced AI capabilities much faster and at significantly lower cost, effectively bypassing years of research and development. The company argues that this amounts to intellectual property theft when carried out without permission. https://www.wionews.com/videos/china-s-moonshot-targets-ipo-within-the-next-six-months-1784569359231/embed Anthropic's allegations against Moonshot AI In a February blog post, Anthropic claimed that it had "identified industrial-scale campaigns" by Chinese AI firms Moonshot AI, DeepSeek and MiniMax to illicitly extract the capabilities of its Claude models to improve their own AI systems. The company alleged that the Chinese AI labs generated more than 16 million exchanges with Claude through approximately 24,000 fraudulent accounts, violating Anthropic's terms of service and regional access restrictions. Specifically regarding Moonshot AI, Anthropic claimed that around 3.4 million exchanges targeted agentic reasoning and tool use, coding and data analysis, computer-use agent development, and computer vision capabilities. Also read: What is distilling? US accuses China of industrial-scale AI system theft Kimi K3: Moonshot AI's most advanced model Kimi K3, the 2.8-trillion-parameter open-weight model from Moonshot AI, was released around 16 July. It has narrowed the gap with leading US AI models and outperformed some rivals on coding benchmarks. It was found to be weaker than Anthropic's Claude Fable 5 and OpenAI's GPT-5.6 models on several advanced evaluations. Anthropic had alleged that Kimi relied on hundreds of fraudulent accounts spanning multiple access pathways to conduct distillation attacks. According to Anthropic, the use of varied account types made the campaign harder to detect, while metadata associated with the activity matched the public profiles of senior Moonshot AI staff. The company further claimed that Moonshot AI adopted a more targeted approach, attempting to extract and reconstruct Claude's internal reasoning traces rather than relying solely on output imitation. Moonshot AI is growing strongly financially Despite the controversy surrounding its alleged use of stronger AI models, Moonshot AI has continued to grow rapidly and is reportedly considering a Hong Kong initial public offering by the end of the year. The company reportedly reached around $300 million in annual recurring revenue in June, up from $200 million in April 2026 and $100 million in March, driven by paid subscriptions and application programming interface or API usage for its Kimi models. Moonshot AI has raised up to $4 billion in total funding across multiple investment rounds. It is currently valued at around $31.5 billion and is reportedly aiming for a final pre-IPO funding round at a $50 billion valuation in August.

Chinese AI firm Moonshot faces US scrutiny after Anthropic accused it of using industrial-scale distillation to improve its Kimi K3 model. US officials have warned of sanctions and Entity List actions&nbsp;&nbsp;

Moonshot could  face US sanctions: Govt takes note of Chinese AI firm's distillation attacks against Anthropic to improve its Kimi model

One of the biggest legal battles over artificial intelligence has reached a major milestone. A federal judge in San Francisco has granted final approval to a $1.5 billion settlement between Anthropic and a class of authors who accused the AI company of illegally downloading copyrighted books from online piracy libraries to build its training collection. The ruling closes what the court described as the largest copyright class action settlement in history. Importantly, however, the lawsuit was not about whether AI can legally learn from copyrighted books. Instead, it focused on how Anthropic obtained those books.<h2>What was Anthropic accused of?</h2>The lawsuit claimed Anthropic downloaded copyrighted books from pirate libraries, including LibGen and PiLiMi, before using them to create its internal book collection Earlier in the case, US District Judge Araceli Martínez-Olguín ruled that training AI models on copyrighted material constituted fair use under US copyright law. That decision has become one of the most closely watched rulings in the AI industry.The settlement resolves only the claims related to Anthropic's acquisition of the books not the legality of AI training itself.<h2>What authors will receive</h2>Under the agreement, eligible authors and publishers whose books appeared on Anthropic's Works List can claim around $3,000 per book, roughly four times the statutory minimum available in many copyright cases. According to court records, more than 440,000 books representing over 91 per cent of eligible works have already been claimed. Anthropic must also permanently delete the pirated digital copies it downloaded.<h2>Why this case matters for AI</h2>The settlement gives Anthropic protection only against claims linked to its past acquisition of the pirated books. Judge Martínez-Olguín made it clear that the agreement does not prevent future lawsuits over how Anthropic's AI models generate content or any future copyright disputes. The court also rejected 54 objections seeking broader remedies, including forcing Anthropic to provide source attribution, expand the list of covered works or even delete its AI models, ruling those issues fell outside the scope of this case. The decision is likely to influence other AI copyright lawsuits involving companies such as OpenAI, Meta and Google, which also face legal scrutiny over how training data is collected and used. For the AI industry, the outcome draws an important legal distinction: how copyrighted material is obtained may create liability, while training AI models on that material can still be considered fair use under existing US court rulings.

A US judge has approved a $1.5 billion settlement between Anthropic and authors over pirated books used to build its training library. The company must compensate rights holders and delete illegal copies, while the court's earlier ruling that AI training is fair use remains unchanged.

One of the biggest legal battles over artificial intelligence has reached a major milestone. A federal judge in San Francisco has granted final approval to a $1.5 billion settlement between Anthropic and a class of authors who accused the AI company of illegally downloading copyrighted books from online piracy libraries to build its training collection. The ruling closes what the court described as the largest copyright class action settlement in history. Importantly, however, the lawsuit was not about whether AI can legally learn from copyrighted books. Instead, it focused on how Anthropic obtained those books. What was Anthropic accused of? The lawsuit claimed Anthropic downloaded copyrighted books from pirate libraries, including LibGen and PiLiMi, before using them to create its internal book collection Earlier in the case, US District Judge Araceli Martínez-Olguín ruled that training AI models on copyrighted material constituted fair use under US copyright law. That decision has become one of the most closely watched rulings in the AI industry. The settlement resolves only the claims related to Anthropic's acquisition of the books not the legality of AI training itself. What authors will receive Under the agreement, eligible authors and publishers whose books appeared on Anthropic's Works List can claim around $3,000 per book, roughly four times the statutory minimum available in many copyright cases. According to court records, more than 440,000 books representing over 91 per cent of eligible works have already been claimed. Anthropic must also permanently delete the pirated digital copies it downloaded. Why this case matters for AI The settlement gives Anthropic protection only against claims linked to its past acquisition of the pirated books. Judge Martínez-Olguín made it clear that the agreement does not prevent future lawsuits over how Anthropic's AI models generate content or any future copyright disputes. The court also rejected 54 objections seeking broader remedies, including forcing Anthropic to provide source attribution, expand the list of covered works or even delete its AI models, ruling those issues fell outside the scope of this case. The decision is likely to influence other AI copyright lawsuits involving companies such as OpenAI, Meta and Google, which also face legal scrutiny over how training data is collected and used. For the AI industry, the outcome draws an important legal distinction: how copyrighted material is obtained may create liability, while training AI models on that material can still be considered fair use under existing US court rulings.

A US judge has approved a $1.5 billion settlement between Anthropic and authors over pirated books used to build its training library. The company must compensate rights holders and delete illegal copies, while the court's earlier ruling that AI training is fair use remains unchanged.

Anthropic's $1.5 billion settlement explained: What authors get and what changes

Google may be preparing one of its biggest hardware upgrades in the artificial intelligence race. According to a report by The Information, the company is developing a new custom AI server chip internally known as Frozen v2. Unlike Google's existing Tensor Processing Units (TPUs), the new processor is reportedly designed specifically to run Gemini models faster while using far less electricity. The report excited investors, sending Alphabet shares up about 3 per cent on Monday, as markets viewed the project as a potential answer to Google's growing demand for AI computing power. Google has not confirmed the existence of Frozen v2, but said its teams are constantly researching new hardware and software technologies to improve AI performance and efficiency.<h2>What makes Frozen v2 different?</h2>Today's AI chips are built to support many different types of machine learning workloads.Frozen v2 reportedly takes a much more specialised approach. Instead of relying solely on software, parts of Gemini's architecture would be permanently embedded into the silicon itself. This reduces unnecessary calculations and data movement every time the AI responds to a query. According to engineers cited by The Information, Frozen v2 could deliver six to ten times more AI tokens per unit of power than Google's newest TPUs.In simple terms, that means Gemini could answer more questions while consuming significantly less energy one of the biggest challenges facing the AI industry today.<h2>Why Google needs a new AI chip</h2>Running advanced AI models has become incredibly expensive. Every chatbot response requires massive computing resources, and demand continues to grow as more businesses adopt generative AI. The report says Google has been struggling with an internal shortage of AI computing capacity, forcing difficult decisions over where those resources are allocated. The company has even reportedly relied on external infrastructure to meet enterprise demand. Frozen v2 is designed to ease that pressure by making Gemini much more efficient without requiring the same increase in computing hardware.However, there is a trade-off.Because the chip is optimised for Gemini's current architecture, major changes to future AI models could reduce its usefulness. That is reportedly why Google views Frozen v2 as an experimental project rather than a full replacement for its TPUs.<h2>Hardware is becoming the next AI battleground</h2>The reported chip comes at a crucial time for Google.The company is facing intense competition from OpenAI, Anthropic, Moonshot AI and Alibaba, while reports suggest the launch of Gemini 3.5 Pro has been delayed. At the same time, demand for AI infrastructure continues to surge as companies look for faster, cheaper and more energy-efficient ways to deploy large language models.Increasingly, success in artificial intelligence is no longer determined only by better models. The companies that build the most efficient chips may also gain a significant competitive advantage. If Frozen v2 reaches production around the reported 2028 target, it could become one of Google's most important AI hardware projects, helping the company reduce costs while scaling Gemini to billions of users worldwide.

Google is reportedly developing Frozen v2, a custom AI chip built specifically for Gemini. The processor could deliver six to ten times more AI tokens per unit of power than current TPUs, potentially helping Google lower AI costs and compete more effectively with OpenAI and Anthropic.


Google may be preparing one of its biggest hardware upgrades in the artificial intelligence race. According to a report by The Information, the company is developing a new custom AI server chip internally known as Frozen v2. Unlike Google's existing Tensor Processing Units (TPUs), the new processor is reportedly designed specifically to run Gemini models faster while using far less electricity. The report excited investors, sending Alphabet shares up about 3 per cent on Monday, as markets viewed the project as a potential answer to Google's growing demand for AI computing power. Google has not confirmed the existence of Frozen v2, but said its teams are constantly researching new hardware and software technologies to improve AI performance and efficiency. What makes Frozen v2 different? Today's AI chips are built to support many different types of machine learning workloads. Frozen v2 reportedly takes a much more specialised approach. Instead of relying solely on software, parts of Gemini's architecture would be permanently embedded into the silicon itself. This reduces unnecessary calculations and data movement every time the AI responds to a query. According to engineers cited by The Information, Frozen v2 could deliver six to ten times more AI tokens per unit of power than Google's newest TPUs. In simple terms, that means Gemini could answer more questions while consuming significantly less energy one of the biggest challenges facing the AI industry today. Why Google needs a new AI chip Running advanced AI models has become incredibly expensive. Every chatbot response requires massive computing resources, and demand continues to grow as more businesses adopt generative AI. The report says Google has been struggling with an internal shortage of AI computing capacity, forcing difficult decisions over where those resources are allocated. The company has even reportedly relied on external infrastructure to meet enterprise demand. Frozen v2 is designed to ease that pressure by making Gemini much more efficient without requiring the same increase in computing hardware. However, there is a trade-off. Because the chip is optimised for Gemini's current architecture, major changes to future AI models could reduce its usefulness. That is reportedly why Google views Frozen v2 as an experimental project rather than a full replacement for its TPUs. Hardware is becoming the next AI battleground The reported chip comes at a crucial time for Google. The company is facing intense competition from OpenAI, Anthropic, Moonshot AI and Alibaba, while reports suggest the launch of Gemini 3.5 Pro has been delayed. At the same time, demand for AI infrastructure continues to surge as companies look for faster, cheaper and more energy-efficient ways to deploy large language models. Increasingly, success in artificial intelligence is no longer determined only by better models. The companies that build the most efficient chips may also gain a significant competitive advantage. If Frozen v2 reaches production around the reported 2028 target, it could become one of Google's most important AI hardware projects, helping the company reduce costs while scaling Gemini to billions of users worldwide.

Google is reportedly developing Frozen v2, a custom AI chip built specifically for Gemini. The processor could deliver six to ten times more AI tokens per unit of power than current TPUs, potentially helping Google lower AI costs and compete more effectively with OpenAI and Anthropic.

Google's secret 'Frozen v2' AI chip could make Gemini up to 10 times more efficient, report says

Artificial intelligence has become remarkably good at writing code, answering questions and analysing documents. Yet most businesses still struggle to use it in meaningful ways. Anthropic believes it knows why and its answer is not another AI model. The Claude maker has launched Ode, a $1.5 billion enterprise AI implementation company, in partnership with Blackstone, Hellman &amp; Friedman and a consortium of investors including Goldman Sachs, General Atlantic, Apollo Global Management, Leonard Green &amp; Partners, GIC and Sequoia Capital. The idea behind Ode is simple: the next big AI opportunity may not be building smarter models, but helping companies actually deploy them.<h2>AI models are improving. Businesses are not keeping up</h2> Over the past two years, AI models have become dramatically more capable. But many companies still find it difficult to integrate AI into their daily operations. The challenge is rarely the model itself. Businesses often have fragmented data, undocumented workflows, legacy software and strict compliance requirements. As a result, many AI projects never move beyond small pilot programmes.Anthropic believes this "implementation gap" could become one of the biggest opportunities in enterprise technology. Rather than selling software licences, Ode will send experienced AI engineers directly into organisations to understand how they work before designing custom AI systems around their existing processes.<h2>What exactly does Ode do?</h2> Ode describes itself as a "scaled boutique" AI implementation firm. Its engineers work alongside executives and employees to identify repetitive work, automate complex business processes and build AI tools tailored to a company's internal systems. Instead of offering a one-size-fits-all chatbot, the company focuses on integrating AI into finance, customer support, operations, legal teams, software development and decision-making workflows. The goal is to redesign how businesses operate rather than simply adding another AI assistant.The company is built on the team behind Fractional AI, a startup known for deploying AI solutions inside enterprises. Around 100 senior engineers including former startup founders now form Ode's core implementation team.<h2>Claude comes first but not exclusively</h2>Although Ode follows a Claude-first strategy and works closely with Anthropic's applied AI teams, it is not restricted to Anthropic's technology alone. If another AI model is better suited for a particular task, Ode says it can incorporate competing technologies into enterprise deployments. This flexibility reflects a growing trend across enterprise AI, where businesses increasingly choose combinations of models rather than relying on a single provider.<h2>Why Blackstone sees a trillion-dollar opportunity</h2> The idea for Ode emerged after Blackstone noticed that companies across its investment portfolio were buying AI tools but struggling to achieve measurable business results.&nbsp; The private equity giant concluded that implementation not model development had become the industry's biggest bottleneck. That insight led to the creation of Ode, with Blackstone providing capital, operational expertise and access to portfolio companies as early customers. For Anthropic, the arrangement allows it to continue focusing on frontier AI research and model safety while extending Claude into real-world enterprise environments through a specialised implementation partner.<h2>A new phase in the AI race</h2>The launch highlights how competition in artificial intelligence is beginning to shift. For years, companies raced to build the most powerful foundation models. Now the focus is increasingly moving towards helping organisations extract measurable value from them. Industry analysts have often compared the current AI market to the early days of cloud computing, when technology alone was not enough and implementation partners became essential.If Anthropic's bet proves correct, the biggest AI businesses of the next decade may not be the companies building models but those helping enterprises completely redesign how work gets done.

Anthropic has launched Ode, a $1.5 billion enterprise AI company backed by Blackstone and Goldman Sachs. Rather than building another AI model, Ode will help businesses integrate AI into their core operations, betting implementation

Artificial intelligence has become remarkably good at writing code, answering questions and analysing documents. Yet most businesses still struggle to use it in meaningful ways. Anthropic believes it knows why and its answer is not another AI model. The Claude maker has launched Ode, a $1.5 billion enterprise AI implementation company, in partnership with Blackstone, Hellman & Friedman and a consortium of investors including Goldman Sachs, General Atlantic, Apollo Global Management, Leonard Green & Partners, GIC and Sequoia Capital. The idea behind Ode is simple: the next big AI opportunity may not be building smarter models, but helping companies actually deploy them. AI models are improving. Businesses are not keeping up Over the past two years, AI models have become dramatically more capable. But many companies still find it difficult to integrate AI into their daily operations. The challenge is rarely the model itself. Businesses often have fragmented data, undocumented workflows, legacy software and strict compliance requirements. As a result, many AI projects never move beyond small pilot programmes. Anthropic believes this "implementation gap" could become one of the biggest opportunities in enterprise technology. Rather than selling software licences, Ode will send experienced AI engineers directly into organisations to understand how they work before designing custom AI systems around their existing processes. What exactly does Ode do? Ode describes itself as a "scaled boutique" AI implementation firm. Its engineers work alongside executives and employees to identify repetitive work, automate complex business processes and build AI tools tailored to a company's internal systems. Instead of offering a one-size-fits-all chatbot, the company focuses on integrating AI into finance, customer support, operations, legal teams, software development and decision-making workflows. The goal is to redesign how businesses operate rather than simply adding another AI assistant. The company is built on the team behind Fractional AI, a startup known for deploying AI solutions inside enterprises. Around 100 senior engineers including former startup founders now form Ode's core implementation team. Claude comes first but not exclusively Although Ode follows a Claude-first strategy and works closely with Anthropic's applied AI teams, it is not restricted to Anthropic's technology alone. If another AI model is better suited for a particular task, Ode says it can incorporate competing technologies into enterprise deployments. This flexibility reflects a growing trend across enterprise AI, where businesses increasingly choose combinations of models rather than relying on a single provider. Why Blackstone sees a trillion-dollar opportunity The idea for Ode emerged after Blackstone noticed that companies across its investment portfolio were buying AI tools but struggling to achieve measurable business results. The private equity giant concluded that implementation not model development had become the industry's biggest bottleneck. That insight led to the creation of Ode, with Blackstone providing capital, operational expertise and access to portfolio companies as early customers. For Anthropic, the arrangement allows it to continue focusing on frontier AI research and model safety while extending Claude into real-world enterprise environments through a specialised implementation partner. A new phase in the AI race The launch highlights how competition in artificial intelligence is beginning to shift. For years, companies raced to build the most powerful foundation models. Now the focus is increasingly moving towards helping organisations extract measurable value from them. Industry analysts have often compared the current AI market to the early days of cloud computing, when technology alone was not enough and implementation partners became essential. If Anthropic's bet proves correct, the biggest AI businesses of the next decade may not be the companies building models but those helping enterprises completely redesign how work gets done.

Anthropic has launched Ode, a $1.5 billion enterprise AI company backed by Blackstone and Goldman Sachs. Rather than building another AI model, Ode will help businesses integrate AI into their core operations, betting implementation not models is the industry's next trillion-dollar opportunity.

Claude-maker Anthropic launches Ode, an enterprise AI company that learns how your business works and helps you run on AI

Elon Musk has made a surprising admission in the rapidly evolving artificial intelligence race. In a post on X, the SpaceXAI founder acknowledged that he had underestimated Anthropic, saying the company is now "obviously currently the leader in AI."The remark marks a sharp reversal from September last year, when Musk wrote that "winning was never in the set of possible outcomes for Anthropic."

<blockquote class="twitter-tweet">I was clearly wrong about Anthropic. They are obviously currently the leader in AI. No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon. And I would never cut them off in a way that hurt them badly, even as a competitor.…&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2075278580955685036?ref_src=twsrc%5Etfw">July 9, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

Responding to a user who reposted his earlier prediction, Musk said: "I was clearly wrong about Anthropic. They are obviously currently the leader in AI." He also praised Anthropic's latest Claude Mythos and Claude Fable models, calling them the strongest AI systems released so far.<h2>Musk says no rival has matched Mythos</h2>Musk did not stop at recognising Anthropic's progress.He wrote that "No company has released a model as good as Mythos/Fable and they will undoubtedly have Mythos 2 ready soon."The comments are notable because they come shortly after SpaceXAI launched Grok 4.5, while OpenAI recently released GPT-5.6. Both companies have been competing aggressively with Anthropic in coding, reasoning and enterprise AI. Earlier this year, Anthropic's Mythos and Fable models faced temporary restrictions from US authorities over cybersecurity concerns before later returning with updated safeguards.<h2>Rivals in AI, partners in computing</h2>The relationship between Musk and Anthropic has become increasingly complex. Although the companies compete directly in artificial intelligence, Anthropic is also one of the largest customers of SpaceXAI's Colossus 1 supercomputer. According to previously reported details, Anthropic agreed to lease computing capacity worth about $1.25 billion per month through May 2029, making the overall agreement worth roughly $40 billion. The Colossus system reportedly contains more than 220,000 Nvidia GPUs with approximately 300 megawatts of computing capacity.The arrangement has prompted speculation over whether Musk could use that leverage against a competitor."That's not my style"Musk dismissed those suggestions. When one X user claimed he could effectively shut down Anthropic by ending the computing agreement, Musk replied that he would never cut them off in a way that hurt them badly, even though they are competitors. He pointed to Tesla's open-source patents and its decision to make the Supercharger network available to rival carmakers as examples of his approach to competition.The episode also highlights another growing issue in the AI industry model distillation, where companies study rival AI systems to improve their own models. During his legal dispute with OpenAI, Musk acknowledged that AI companies generally learn from one another's models, while Anthropic has previously accused some Chinese AI developers of distilling Claude. Musk's latest comments suggest that despite fierce competition, he believes Anthropic currently sets the benchmark in frontier AI and that recognition has become difficult even for rivals to ignore.

Elon Musk has admitted he was wrong about Anthropic, calling it the current AI leader and describing Claude Mythos and Fable as the best AI models available. His comments come despite SpaceXAI competing directly with Anthropic while also supplying it with massive computing power.

Elon Musk has made a surprising admission in the rapidly evolving artificial intelligence race. In a post on X, the SpaceXAI founder acknowledged that he had underestimated Anthropic, saying the company is now "obviously currently the leader in AI." The remark marks a sharp reversal from September last year, when Musk wrote that "winning was never in the set of possible outcomes for Anthropic."

Elon Musk has admitted he was wrong about Anthropic, calling it the current AI leader and describing Claude Mythos and Fable as the best AI models available. His comments come despite SpaceXAI competing directly with Anthropic while also supplying it with massive computing power.

Elon Musk admits, 'I was wrong,' says Anthropic is the AI leader and calls Mythos the best model ever

The US Cybersecurity and Infrastructure Security Agency (CISA), is using Anthropic's AI model Mythos to audit government software, Reuters has reported, citing three people familiar with the matter. This is interesting given the tussles between the Trump administration and Anthropic, the firm behind the popular Claude AI models. CISA is using Mythos to scan government code repositories for bugs that could leave the door open for foreign spies and cybercriminals, according to the report.<h2>Why is the US government using Anthropic's coding agent significant? The political irony</h2>It's interesting that the agency is using the controversial Mythos, not the regular Claude model for the audit, as per the report. Mythos has demonstrated the ability to find, exploit and fix cybersecurity vulnerabilities, including those in the financial and banking sectors. Upon its release, Mythos was immediately restricted for use only by approved organisations. The political irony is not lost on anyone. Just three months ago, the Pentagon had slapped Anthropic with a supply-chain risk designation. A judge later blocked the blacklisting in March. Mythos has not yet been released to the public.Axios, meanwhile, had reported that the US intelligence agency, the National Security Agency (NSA), had been using Mythos as of April despite the blacklist. The New York Times reported in late June that NSA analysts testing it in classified settings were impressed by its performance.In short, the US security establishment is quietly embracing the very company that the Trump administration had tried to blacklist.Also read: <a href="https://www.wionews.com/world/they-showed-us-what-it-could-do-and-it-s-scary-congressman-andrew-garbarino-on-anthropic-mythos-model-demo-claude-ai-news-1782552364247">'They showed us what it could do, and it's scary': Congressman on Anthropic Mythos model demo</a><h2>Which websites are included for Anthropic code-checking?</h2>The Reuters report said the Anthropic AI model would be used for auditing government code repositories, not websites as such. The task is being carried out by CISA's Attack Surface Evaluation (ASE) team, which conducts digital security assessments and authorised hacking exercises across government systems. It is not clear exactly how much government code the team has reviewed or the nature and severity of the vulnerabilities it has discovered. Nor have CISA or Anthropic disclosed which government departments or websites are included in the programme.<a href="https://www.wionews.com/videos/us-lifts-export-curbs-on-anthropic-s-fable-and-mythos-ai-models-1782909734073/embed">https://www.wionews.com/videos/us-lifts-export-curbs-on-anthropic-s-fable-and-mythos-ai-models-1782909734073/embed</a><h2>Finance, business and economy relevance</h2>The ASE team works across the federal government. Therefore, it would be reasonable to assume that systems operated by the Department of the Treasury, the Securities and Exchange Commission (SEC), the Internal Revenue Service (IRS) and the Department of Commerce could potentially fall within the scope of these audits, although the Reuters story does not specifically mention any of these agencies. Notably, in February, the Treasury, State and Health and Human Services Departments issued statements confirming compliance with the government directive at the time to phase out Anthropic tools following government order.Also read: <a href="https://www.wionews.com/technology/from-mythos-to-reality-anthropic-launches-claude-fable-5-its-most-powerful-public-ai-model-1781035985872">From Mythos to reality: Anthropic launches Claude Fable 5, its most powerful public AI model</a><h2>Is the US government admitting that its code needs fixing?</h2>The sources cited by Reuters said the audits had already uncovered a large number of vulnerabilities. However, this should not be interpreted as an admission that government software is fundamentally broken. Large organisations routinely conduct code audits because legacy software, outdated libraries and coding errors inevitably accumulate over time. AI is now making it significantly easier to identify bugs and security vulnerabilities in large volumes of legacy code at scale, allowing agencies to fix weaknesses before they can be exploited by foreign adversaries or cybercriminals.

CISA, the US cybersecurity agency, is using Anthropic's unreleased Mythos AI to audit US government code repositories for cybersecurity flaws. This is a major shift in federal AI adoption despite earlier Trump-era restrictions against Anthropic.

The US Cybersecurity and Infrastructure Security Agency (CISA), is using Anthropic's AI model Mythos to audit government software, Reuters has reported, citing three people familiar with the matter. This is interesting given the tussles between the Trump administration and Anthropic, the firm behind the popular Claude AI models. CISA is using Mythos to scan government code repositories for bugs that could leave the door open for foreign spies and cybercriminals, according to the report. Why is the US government using Anthropic's coding agent significant? The political irony It's interesting that the agency is using the controversial Mythos, not the regular Claude model for the audit, as per the report. Mythos has demonstrated the ability to find, exploit and fix cybersecurity vulnerabilities, including those in the financial and banking sectors. Upon its release, Mythos was immediately restricted for use only by approved organisations. The political irony is not lost on anyone. Just three months ago, the Pentagon had slapped Anthropic with a supply-chain risk designation. A judge later blocked the blacklisting in March. Mythos has not yet been released to the public. Axios, meanwhile, had reported that the US intelligence agency, the National Security Agency (NSA), had been using Mythos as of April despite the blacklist. The New York Times reported in late June that NSA analysts testing it in classified settings were impressed by its performance. In short, the US security establishment is quietly embracing the very company that the Trump administration had tried to blacklist. Also read: 'They showed us what it could do, and it's scary': Congressman on Anthropic Mythos model demo Which websites are included for Anthropic code-checking? The Reuters report said the Anthropic AI model would be used for auditing government code repositories, not websites as such. The task is being carried out by CISA's Attack Surface Evaluation (ASE) team, which conducts digital security assessments and authorised hacking exercises across government systems. It is not clear exactly how much government code the team has reviewed or the nature and severity of the vulnerabilities it has discovered. Nor have CISA or Anthropic disclosed which government departments or websites are included in the programme. https://www.wionews.com/videos/us-lifts-export-curbs-on-anthropic-s-fable-and-mythos-ai-models-1782909734073/embed Finance, business and economy relevance The ASE team works across the federal government. Therefore, it would be reasonable to assume that systems operated by the Department of the Treasury, the Securities and Exchange Commission (SEC), the Internal Revenue Service (IRS) and the Department of Commerce could potentially fall within the scope of these audits, although the Reuters story does not specifically mention any of these agencies. Notably, in February, the Treasury, State and Health and Human Services Departments issued statements confirming compliance with the government directive at the time to phase out Anthropic tools following government order. Also read: From Mythos to reality: Anthropic launches Claude Fable 5, its most powerful public AI model Is the US government admitting that its code needs fixing? The sources cited by Reuters said the audits had already uncovered a large number of vulnerabilities. However, this should not be interpreted as an admission that government software is fundamentally broken. Large organisations routinely conduct code audits because legacy software, outdated libraries and coding errors inevitably accumulate over time. AI is now making it significantly easier to identify bugs and security vulnerabilities in large volumes of legacy code at scale, allowing agencies to fix weaknesses before they can be exploited by foreign adversaries or cybercriminals.

CISA, the US cybersecurity agency, is using Anthropic's unreleased Mythos AI to audit US government code repositories for cybersecurity flaws. This is a major shift in federal AI adoption despite earlier Trump-era restrictions against Anthropic.

US cybersecurity agency is reportedly using Anthropic's Mythos for auditing govt code. What does it mean?

The artificial intelligence race is no longer just about building smarter AI models. It is increasingly becoming a battle over the chips that power them. Anthropic, the company behind Claude AI, is reportedly in discussions with Samsung about developing a custom AI chip, according to a report by The Information. While the talks are still at an early stage, the move suggests Anthropic is exploring ways to strengthen its long-term computing strategy as demand for AI hardware continues to grow. The company has not confirmed a partnership. In a statement to TechCrunch, Anthropic said chips from Nvidia, Google and Amazon will continue to play a key role in its AI infrastructure. It declined to comment further on reports about Samsung.<h2>Why does Anthropic want its own AI chip?</h2>Training and running advanced AI models requires enormous computing power. Today, much of that work depends on Nvidia's AI chips, which remain the industry standard. However, growing demand has led to supply constraints and rising costs, prompting several technology companies to develop their own processors. A custom chip could allow Anthropic to optimise hardware specifically for Claude AI, improve energy efficiency, reduce operating costs and gain greater control over its computing infrastructure. According to Reuters, Anthropic had already begun exploring the idea of designing its own AI chips earlier this year.<h2>Samsung could become an important partner</h2>Samsung is one of the world's largest semiconductor manufacturers and already works closely with Nvidia on AI hardware. The South Korean company also manufactures advanced chips for other technology firms and has expanded investments in AI chip production. A partnership with Anthropic could strengthen Samsung's position in the rapidly growing AI semiconductor market. However, several important decisions reportedly remain unresolved, including what the chip will be used for, how powerful it will be and how it will fit into Anthropic's server infrastructure.<h2>AI companies are racing to control their hardware</h2>Anthropic is not alone.OpenAI recently announced its custom inference chip, Jalapeño, developed with Broadcom. Google has long relied on its in-house Tensor Processing Units (TPUs), while Amazon designs its own Trainium and Inferentia chips for Amazon Web Services.The shift reflects a broader trend across the AI industry. Instead of relying entirely on Nvidia, companies are building specialised chips that better match their own software and workloads. For Anthropic, a custom processor would represent more than a hardware upgrade. It could become an important step towards reducing dependence on third-party suppliers while preparing for increasingly powerful AI systems in the years ahead.&nbsp;

Anthropic is reportedly discussing a potential partnership with Samsung to develop a custom AI chip.

The artificial intelligence race is no longer just about building smarter AI models. It is increasingly becoming a battle over the chips that power them. Anthropic, the company behind Claude AI, is reportedly in discussions with Samsung about developing a custom AI chip, according to a report by The Information. While the talks are still at an early stage, the move suggests Anthropic is exploring ways to strengthen its long-term computing strategy as demand for AI hardware continues to grow. The company has not confirmed a partnership. In a statement to TechCrunch, Anthropic said chips from Nvidia, Google and Amazon will continue to play a key role in its AI infrastructure. It declined to comment further on reports about Samsung. Why does Anthropic want its own AI chip? Training and running advanced AI models requires enormous computing power. Today, much of that work depends on Nvidia's AI chips, which remain the industry standard. However, growing demand has led to supply constraints and rising costs, prompting several technology companies to develop their own processors. A custom chip could allow Anthropic to optimise hardware specifically for Claude AI, improve energy efficiency, reduce operating costs and gain greater control over its computing infrastructure. According to Reuters, Anthropic had already begun exploring the idea of designing its own AI chips earlier this year. Samsung could become an important partner Samsung is one of the world's largest semiconductor manufacturers and already works closely with Nvidia on AI hardware. The South Korean company also manufactures advanced chips for other technology firms and has expanded investments in AI chip production. A partnership with Anthropic could strengthen Samsung's position in the rapidly growing AI semiconductor market. However, several important decisions reportedly remain unresolved, including what the chip will be used for, how powerful it will be and how it will fit into Anthropic's server infrastructure. AI companies are racing to control their hardware Anthropic is not alone. OpenAI recently announced its custom inference chip, Jalapeño, developed with Broadcom. Google has long relied on its in-house Tensor Processing Units (TPUs), while Amazon designs its own Trainium and Inferentia chips for Amazon Web Services. The shift reflects a broader trend across the AI industry. Instead of relying entirely on Nvidia, companies are building specialised chips that better match their own software and workloads. For Anthropic, a custom processor would represent more than a hardware upgrade. It could become an important step towards reducing dependence on third-party suppliers while preparing for increasingly powerful AI systems in the years ahead.

Anthropic is reportedly discussing a potential partnership with Samsung to develop a custom AI chip.

Beyond AI models: Anthropic is exploring a custom AI chip with Samsung. Here's why it matters

Anthropic has restored global access to its advanced Claude Fable 5 and Claude Mythos 5 AI models after introducing a new set of cybersecurity safeguards. The move follows discussions with the US government and comes after the company temporarily restricted access to the models over concerns about potential misuse.&nbsp;The company says the updated safeguards are designed to prevent harmful cybersecurity activities while allowing legitimate users to continue using the models for coding, research and other everyday tasks. For most users, Anthropic says the experience should remain largely unchanged.&nbsp;

<blockquote class="twitter-tweet">Fable 5 is back. <a href="https://t.co/9RTGUCcPHy">pic.twitter.com/9RTGUCcPHy</a>&mdash; Claude (@claudeai) <a href="https://x.com/claudeai/status/2072402636813607381?ref_src=twsrc%5Etfw">July 1, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Why did Anthropic bring Fable 5 back?</h2>According to Anthropic, the company has improved its security systems to better distinguish between legitimate requests and potentially harmful ones. The new safeguards use updated classifiers that identify requests related to advanced cybersecurity misuse. If a request is flagged, users will receive a notification and the conversation will automatically switch to Claude Opus 4.8, rather than Fable 5.&nbsp;Anthropic says this approach allows it to continue offering powerful AI capabilities while reducing the risk of abuse.&nbsp;<h2>Will coding and everyday work be affected?</h2>Anthropic says the vast majority of coding work will not be affected. However, the company acknowledged that the new safeguards may temporarily block a slightly higher number of harmless requests than intended. This means some legitimate coding or debugging prompts could be redirected to Opus 4.8 until the classifiers become more accurate.The company said it is already working on updates to reduce these false positives over the coming weeks.<h2>Biology and chemistry restrictions remain</h2>Anthropic also confirmed that its biology and chemistry safety filters remain unchanged from the initial launch.The company admitted that these classifiers are still broader than it would like. As a result, even some basic biology-related questions may currently fall back to Claude Opus 4.8 instead of Fable 5. Anthropic says improvements to these scientific safety systems are already being developed and will be introduced in future updates.<h2>AI safety becomes a bigger industry focus</h2>The return of Fable 5 and Mythos 5 reflects a wider shift across the AI industry, where companies are trying to balance powerful capabilities with stronger safety measures. Rather than limiting access entirely, Anthropic is introducing more targeted safeguards that aim to stop misuse while keeping advanced AI available for developers, researchers and businesses. The company says it will continue refining these protections as more users begin using the restored models.

Anthropic has restored access to its Claude Fable 5 and Mythos 5 AI models after introducing updated cybersecurity safeguards. 

Anthropic has restored global access to its advanced Claude Fable 5 and Claude Mythos 5 AI models after introducing a new set of cybersecurity safeguards. The move follows discussions with the US government and comes after the company temporarily restricted access to the models over concerns about potential misuse. The company says the updated safeguards are designed to prevent harmful cybersecurity activities while allowing legitimate users to continue using the models for coding, research and other everyday tasks. For most users, Anthropic says the experience should remain largely unchanged.

Anthropic has restored access to its Claude Fable 5 and Mythos 5 AI models after introducing updated cybersecurity safeguards.&nbsp;

Fable 5 is available again, but with smarter safety checks: Here's what has changed for users

Anthropic has announced that Claude Fable 5 will once again be available to users worldwide after temporarily restricting access over cybersecurity concerns. The company said the rollout will begin tomorrow following what it described as "productive conversations" with the US government.&nbsp;The return of the model is significant because Claude Fable 5 had been one of Anthropic's most advanced AI systems before restrictions were introduced. The company says the latest version includes stronger safety protections designed to prevent misuse while allowing legitimate users to continue using the model for everyday work.&nbsp;<h2>Why was Claude Fable 5 restricted?</h2>Anthropic previously limited access to Claude Fable 5 because of concerns that its advanced capabilities could be misused for cybersecurity-related activities. According to the company, the updated deployment now uses a new set of AI classifiers that identify and block requests linked to harmful cybersecurity tasks. At the same time, Anthropic says it is working to reduce false positives so genuine users are not unnecessarily blocked. During this transition, some routine activities such as coding and debugging may automatically be handled by Claude Opus 4.8 instead of Fable 5. Anthropic said these safeguards will continue to improve over the coming weeks.&nbsp;Anthropic, Google, Microsoft and Amazon working on AI safetyAlongside the relaunch, Anthropic announced a broader industry initiative aimed at improving AI security. The company said it has started drafting a consensus framework with partners including Amazon, Microsoft, Google and other participants in its Project Glasswing programme. The goal is to develop common standards for assessing AI jailbreaks, measuring their severity and deciding how AI developers should respond when vulnerabilities are discovered. Anthropic also invited other AI companies and research organisations to participate in developing the framework.&nbsp;<h2>Collaboration with the US government expands</h2>Anthropic also confirmed that it is expanding its collaboration with the US government on AI safety testing.According to the company, future cooperation will include pre-release access to AI models and safeguards for government evaluation, information sharing about jailbreak techniques and AI misuse, as well as dedicated resources for joint research. The announcement reflects a growing trend across the AI industry, where leading developers are working more closely with governments to balance rapid innovation with security and responsible deployment.For users, the return of Claude Fable 5 means access to one of Anthropic's most capable AI models once again this time with additional protections designed to make powerful AI systems safer for wider public use.

Anthropic has announced that Claude Fable 5 will once again be available to users worldwide after temporarily restricting access due to cybersecurity concerns.

Anthropic has announced that Claude Fable 5 will once again be available to users worldwide after temporarily restricting access over cybersecurity concerns. The company said the rollout will begin tomorrow following what it described as "productive conversations" with the US government. The return of the model is significant because Claude Fable 5 had been one of Anthropic's most advanced AI systems before restrictions were introduced. The company says the latest version includes stronger safety protections designed to prevent misuse while allowing legitimate users to continue using the model for everyday work. Why was Claude Fable 5 restricted? Anthropic previously limited access to Claude Fable 5 because of concerns that its advanced capabilities could be misused for cybersecurity-related activities. According to the company, the updated deployment now uses a new set of AI classifiers that identify and block requests linked to harmful cybersecurity tasks. At the same time, Anthropic says it is working to reduce false positives so genuine users are not unnecessarily blocked. During this transition, some routine activities such as coding and debugging may automatically be handled by Claude Opus 4.8 instead of Fable 5. Anthropic said these safeguards will continue to improve over the coming weeks. Anthropic, Google, Microsoft and Amazon working on AI safety Alongside the relaunch, Anthropic announced a broader industry initiative aimed at improving AI security. The company said it has started drafting a consensus framework with partners including Amazon, Microsoft, Google and other participants in its Project Glasswing programme. The goal is to develop common standards for assessing AI jailbreaks, measuring their severity and deciding how AI developers should respond when vulnerabilities are discovered. Anthropic also invited other AI companies and research organisations to participate in developing the framework. Collaboration with the US government expands Anthropic also confirmed that it is expanding its collaboration with the US government on AI safety testing. According to the company, future cooperation will include pre-release access to AI models and safeguards for government evaluation, information sharing about jailbreak techniques and AI misuse, as well as dedicated resources for joint research. The announcement reflects a growing trend across the AI industry, where leading developers are working more closely with governments to balance rapid innovation with security and responsible deployment. For users, the return of Claude Fable 5 means access to one of Anthropic's most capable AI models once again this time with additional protections designed to make powerful AI systems safer for wider public use.

Anthropic has announced that Claude Fable 5 will once again be available to users worldwide after temporarily restricting access over cybersecurity concerns.

Anthropic is relaunching Claude Fable 5 with stricter AI safety checks

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