&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

The US government on Tuesday (July 01) lifted export restrictions on Anthropic's most advanced artificial intelligence models, weeks after directing the company to limit access over national security concerns.&nbsp;Anthropic said that it will soon begin restoring global access to its flagship AI models, Fable 5 and Mythos 5, after the US government removed restrictions on where they could be released.&nbsp;Anthropic said access to the models would begin to return for users from Wednesday.&nbsp;The US government had ordered Anthropic to suspend access to the two advanced AI models on June 12 over concerns that advanced AI systems could potentially be misused by foreign military or intelligence agencies.

<blockquote class="twitter-tweet">We’ve received notice that the Department of Commerce has lifted export controls on Claude Fable 5 and Mythos 5. We&#39;ll begin restoring access tomorrow, and will share an update soon. We’re grateful to our users for their patience, and to everyone who worked with us on…&mdash; Anthropic (@AnthropicAI) <a href="https://x.com/AnthropicAI/status/2072106151890809341?ref_src=twsrc%5Etfw">June 30, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

OpenAI has also complied with requests from Washington by limiting the release of its latest model, GPT 5.6, to a select group of approved partners.&nbsp;Commenting on the move, OpenAI CEO Sam Altman said on X, "This isn't quite the process that we think is optimal," while explaining the launch of GPT 5.6.&nbsp;Also Read: <a href="https://www.wionews.com/world/trump-minted-over-1-billion-from-crypto-dealings-in-first-year-back-in-office-1782868287013">Trump minted over $1 billion from crypto dealings in first year back in office</a><h2>CIA director compares advanced AI to nuclear weapons</h2>Earlier in the day, CIA Director John Ratcliffe compared the capabilities of the most advanced AI models to nuclear weapons, defending the Trump administration's tougher approach to controlling access to frontier AI technology.&nbsp;"In conversations with many of the president's other national security and economic security advisors, we're talking about the impact of these frontier AI models," Ratcliffe said during a speech at the AWS Summit in Washington.&nbsp;"It would be... not misplaced to refer to their capabilities as akin to digital nuclear weapons," Ratcliffe said.&nbsp;Earlier, President Donald Trump signed an executive order establishing a voluntary federal review of national security risks in advanced AI models before their public release.&nbsp;White House Chief of Staff Susie Wiles also thanked technology companies for cooperating with the administration's AI policies.&nbsp;"My gratitude to companies across industries who continue to work closely with the White House to implement the President’s" executive order on AI and cybersecurity, Wiles said. "This includes excellent work around advanced model access, guardrail testing, and security."

The US government suspended access to the two AI models on June 12 after identifying safeguard vulnerabilities and raising concerns that they could be misused by foreign military or intelligence agencies.


The US government on Tuesday (July 01) lifted export restrictions on Anthropic's most advanced artificial intelligence models, weeks after directing the company to limit access over national security concerns. Anthropic said that it will soon begin restoring global access to its flagship AI models, Fable 5 and Mythos 5, after the US government removed restrictions on where they could be released. Anthropic said access to the models would begin to return for users from Wednesday. The US government had ordered Anthropic to suspend access to the two advanced AI models on June 12 over concerns that advanced AI systems could potentially be misused by foreign military or intelligence agencies.

The US government suspended access to the two AI models on June 12 after identifying safeguard vulnerabilities and raising concerns that they could be misused by foreign military or intelligence agencies.

US lifts export curbs on Anthropic's most powerful AI models, Fable 5 and Mythos 5

Anthropic has launched Claude Fable 5, the first publicly available version of technology derived from its highly discussed Mythos AI system. The move marks a significant moment for the artificial intelligence industry because it gives developers, businesses and researchers access to some of Anthropic's most advanced capabilities while keeping strict safety protections in place. The company says Fable 5 is designed to perform complex software engineering, analytical work, reasoning tasks and vision-based operations. However, unlike the original Mythos model, which was restricted to a small group of partners, Fable 5 includes built-in limits for high-risk subjects such as cybersecurity, biology and chemistry. When users enter those areas, the system automatically switches to the safer Claude Opus 4.8 model.<h2>What exactly is Claude Fable 5?</h2>Claude Fable 5 is Anthropic's attempt to bring advanced AI capabilities to a wider audience without exposing the most sensitive parts of its technology. Mythos first attracted attention earlier this year after Anthropic claimed the model could identify thousands of software vulnerabilities and uncover security flaws at a speed far beyond traditional methods. Because of those capabilities, access was initially restricted to selected organisations managing critical infrastructure and cybersecurity systems. Now, Anthropic has created Fable 5 as a public-facing version of that technology. According to the company, most users will experience the full power of Fable 5 in more than 95 per cent of interactions, while only a small number of requests will be redirected to another model for safety reasons.<h2>Why is Anthropic being cautious?</h2>The release of Fable 5 comes at a time when AI companies are facing growing questions about safety, security and control. Anthropic has repeatedly warned that future AI systems could become significantly more capable and may eventually reach a stage where they can improve parts of their own performance with limited human guidance. Because of these concerns, the company says it carried out extensive testing before launching Fable 5. According to Anthropic, internal and external security researchers spent more than 1,000 hours attempting to bypass the model's protections. The company said testers failed to discover a universal method that could consistently defeat the safety systems. Anthropic has also introduced a 30-day data retention requirement for users of Fable 5 and Mythos 5. The company says the data will not be used to train future models but will help identify new threats, jailbreak attempts and unexpected behaviours.<h2>How powerful is Claude Fable 5?</h2>Early testing suggests Fable 5 performs strongly across a range of tasks. Analytics company Hex said Fable became the first AI model to achieve a score above 90 per cent on its benchmark for complex analytical work. Meanwhile, software platform Base44 reported improvements in application development, saying the model was particularly effective at building complete applications from a single prompt and handling tool integrations.Another AI platform, Genspark, said Fable outperformed competing models in several tests involving user interface design, coding and agent-based tasks. According to the company, the model showed stronger judgement and attention to detail when handling complicated requests. These results suggest Anthropic is focusing not only on raw intelligence but also on practical business applications.<h2>How could Fable 5 change the workplace?</h2>The biggest impact may be felt in software development, business operations and knowledge work. For software engineers, Fable 5 could help write, review and debug code faster. Companies may use it to automate parts of application development, identify bugs and improve productivity. In some cases, businesses could complete projects with smaller teams and shorter timelines. Knowledge workers may also benefit from faster research, data analysis, report generation and decision support. Instead of spending hours reviewing documents or analysing information manually, employees could rely on AI to complete much of the groundwork. The model's ability to reflect on its own work and verify outputs may also improve reliability in areas where accuracy matters.The cost question remains Despite the excitement around the launch, Fable 5 will not be cheap. Anthropic has priced both Fable 5 and Mythos 5 at $10 per million input tokens and $50 per million output tokens. That is roughly double the cost of Claude Opus 4.8. This comes at a time when many companies are becoming more careful about AI spending. Several businesses have reported using up annual AI budgets faster than expected as adoption increases across departments.As a result, organisations may need to decide whether the performance gains offered by Fable 5 justify the additional expense.<h2>What does this mean for the AI race?</h2>The launch of Fable 5 highlights how quickly the competition between AI companies is intensifying. Anthropic, OpenAI, Google, Meta and xAI are all racing to develop more capable systems while also addressing concerns around safety and responsible deployment. Anthropic's approach suggests that future AI releases may increasingly combine powerful capabilities with strict usage controls.For users, Fable 5 represents access to a new generation of AI that can handle more complex tasks than previous models. For businesses, it offers a glimpse of how advanced AI could reshape software development, research, automation and decision-making over the next few years. Whether that transformation happens quickly or gradually, one thing is becoming clear: AI systems are moving beyond simple chatbots and becoming active tools capable of carrying out increasingly sophisticated work&nbsp;&nbsp;

Anthropic launches Claude Fable 5, bringing advanced AI capabilities from Mythos to wider users with built-in safety controls. The model excels in coding, analysis and automation, but higher costs and strict limits highlight growing focus on responsible AI use.

Anthropic has launched Claude Fable 5, the first publicly available version of technology derived from its highly discussed Mythos AI system. The move marks a significant moment for the artificial intelligence industry because it gives developers, businesses and researchers access to some of Anthropic's most advanced capabilities while keeping strict safety protections in place. The company says Fable 5 is designed to perform complex software engineering, analytical work, reasoning tasks and vision-based operations. However, unlike the original Mythos model, which was restricted to a small group of partners, Fable 5 includes built-in limits for high-risk subjects such as cybersecurity, biology and chemistry. When users enter those areas, the system automatically switches to the safer Claude Opus 4.8 model. What exactly is Claude Fable 5? Claude Fable 5 is Anthropic's attempt to bring advanced AI capabilities to a wider audience without exposing the most sensitive parts of its technology. Mythos first attracted attention earlier this year after Anthropic claimed the model could identify thousands of software vulnerabilities and uncover security flaws at a speed far beyond traditional methods. Because of those capabilities, access was initially restricted to selected organisations managing critical infrastructure and cybersecurity systems. Now, Anthropic has created Fable 5 as a public-facing version of that technology. According to the company, most users will experience the full power of Fable 5 in more than 95 per cent of interactions, while only a small number of requests will be redirected to another model for safety reasons. Why is Anthropic being cautious? The release of Fable 5 comes at a time when AI companies are facing growing questions about safety, security and control. Anthropic has repeatedly warned that future AI systems could become significantly more capable and may eventually reach a stage where they can improve parts of their own performance with limited human guidance. Because of these concerns, the company says it carried out extensive testing before launching Fable 5. According to Anthropic, internal and external security researchers spent more than 1,000 hours attempting to bypass the model's protections. The company said testers failed to discover a universal method that could consistently defeat the safety systems. Anthropic has also introduced a 30-day data retention requirement for users of Fable 5 and Mythos 5. The company says the data will not be used to train future models but will help identify new threats, jailbreak attempts and unexpected behaviours. How powerful is Claude Fable 5? Early testing suggests Fable 5 performs strongly across a range of tasks. Analytics company Hex said Fable became the first AI model to achieve a score above 90 per cent on its benchmark for complex analytical work. Meanwhile, software platform Base44 reported improvements in application development, saying the model was particularly effective at building complete applications from a single prompt and handling tool integrations. Another AI platform, Genspark, said Fable outperformed competing models in several tests involving user interface design, coding and agent-based tasks. According to the company, the model showed stronger judgement and attention to detail when handling complicated requests. These results suggest Anthropic is focusing not only on raw intelligence but also on practical business applications. How could Fable 5 change the workplace? The biggest impact may be felt in software development, business operations and knowledge work. For software engineers, Fable 5 could help write, review and debug code faster. Companies may use it to automate parts of application development, identify bugs and improve productivity. In some cases, businesses could complete projects with smaller teams and shorter timelines. Knowledge workers may also benefit from faster research, data analysis, report generation and decision support. Instead of spending hours reviewing documents or analysing information manually, employees could rely on AI to complete much of the groundwork. The model's ability to reflect on its own work and verify outputs may also improve reliability in areas where accuracy matters. The cost question remains Despite the excitement around the launch, Fable 5 will not be cheap. Anthropic has priced both Fable 5 and Mythos 5 at $10 per million input tokens and $50 per million output tokens. That is roughly double the cost of Claude Opus 4.8. This comes at a time when many companies are becoming more careful about AI spending. Several businesses have reported using up annual AI budgets faster than expected as adoption increases across departments. As a result, organisations may need to decide whether the performance gains offered by Fable 5 justify the additional expense. What does this mean for the AI race? The launch of Fable 5 highlights how quickly the competition between AI companies is intensifying. Anthropic, OpenAI, Google, Meta and xAI are all racing to develop more capable systems while also addressing concerns around safety and responsible deployment. Anthropic's approach suggests that future AI releases may increasingly combine powerful capabilities with strict usage controls. For users, Fable 5 represents access to a new generation of AI that can handle more complex tasks than previous models. For businesses, it offers a glimpse of how advanced AI could reshape software development, research, automation and decision-making over the next few years. Whether that transformation happens quickly or gradually, one thing is becoming clear: AI systems are moving beyond simple chatbots and becoming active tools capable of carrying out increasingly sophisticated work

Anthropic launches Claude Fable 5, bringing advanced AI capabilities from Mythos to wider users with built-in safety controls. The model excels in coding, analysis and automation, but higher costs and strict limits highlight growing focus on responsible AI use.

Anthropic launches Claude Fable 5: How it could change the way people work

Anthropic, the AI company behind Claude, has warned that AI could start building itself and create its successor and that “full recursive self-improvement might increase the risks of humans losing control over AI systems.” A full recursive self-improvement refers to a stage where AI is able to improve itself without any human intervention and create a more powerful successor.&nbsp;&nbsp;The San Francisco-based firm also recommends a global pause on building the most powerful AI systems as the latest models are beginning to show signs they could evade human control.&nbsp;The company said that as it increasingly delegates AI developments to AI systems, there are signals that it leads to a future where “an AI system (is) capable of fully autonomously designing and developing its own successor.”&nbsp;Also Read: <a href="https://www.wionews.com/india-news/delhi-hotel-owner-helped-bangladeshi-nationals-get-fake-indian-documents-was-arrested-booked-last-year-1780654502514">Delhi hotel owner helped Bangladeshi nationals get fake Indian documents, was arrested, booked last year</a><h2>‘Average engineer producing eight times more code per day than in 2024’</h2>&nbsp;Anthropic shared that Claude now writes most of the code used to build the company’s AI systems. As a result, engineers are able to get much more work done, with the average engineer producing around eight times more code each day than in 2024. Claude is not just getting better at coding, but it is also improving at research tasks.&nbsp;&nbsp;Anthropic, an outlier among AI companies, said trends suggest AI systems are going to become much more capable ahead. “These trends have huge implications. AI that can build itself would be a major development in the history of technology—one that could bring enormous good for the world in science, healthcare, and beyond,” it said.&nbsp;<h2>‘All AI companies need to come together to decide on pause’&nbsp;</h2>&nbsp;It argued that all AI companies need to come together to decide to “pause” frontier AI development but warned that if only one company stopped, rivals would simply race ahead. Getting a real pause to work would mean all major AI companies in multiple countries agreeing to stop at the same time, under rules everyone could actually verify, Anthropic added.“Without a global coordination mechanism, companies and governments will have to make difficult decisions about safety while under competitive and geopolitical pressures,” it said.&nbsp;Also Read: <a href="https://www.wionews.com/world/futile-to-try-pressuring-pm-modi-putin-says-india-us-relations-do-not-affect-ties-with-russia-1780597993055">‘Futile to try pressuring PM Modi’: Putin says India-US relations do not affect ties with Russia</a>&nbsp;“We believe it would be good for the world to have the option to slow or temporarily pause frontier AI development to enable societal structures and alignment research to keep up with the advance of the technology,” it said.&nbsp;&nbsp;Anthropic compared the problem to nuclear arms control treaties but said it would be even harder to monitor since AI training is far easier to hide than a missile silo, and the temptation to quietly keep going would be enormous.&nbsp;<h2>Multiple challenges ahead for ‘pause’ proposal</h2>&nbsp;The AI giant’s research arm, Anthropic Institute, plans to study and help build systems that would be necessary to support a slowdown. It also plans to organise discussions involving policymakers, researchers, civil society groups and other AI firms to examine key questions around how to tackle the issue at hand. These questions include how to manage AI-related risks such as recursive self-improvement and how to improve mechanisms for coordination.&nbsp;Also Read: <a href="https://www.wionews.com/world/former-trump-nsa-john-bolton-to-plead-guilty-over-retaining-classified-documents-report-1780592120953">Former Trump NSA John Bolton to plead guilty over retaining classified documents: Report</a>&nbsp;The proposal would face an uphill battle in Washington and Silicon Valley, where US officials and tech executives have repeatedly argued that any slowdown in AI development risks handing China a decisive strategic edge in what many see as the defining technology race of the century.President Donald Trump also signed an executive order this week that allows the government 30 days to conduct a preliminary review of the most powerful US AI models before their release.&nbsp;The company stressed that such a stage has not yet arrived but argued that governments, regulators and society need to start preparing for it now.&nbsp;

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

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

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

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

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

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

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

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

Anthropic expands Project Glasswing to 150 organisations across 15 countries

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

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

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

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

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

Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date.The company said Opus 4.8 is available immediately across Claude platforms and APIs at the same pricing as the previous Opus release. The update arrives as competition in the AI industry continues to intensify, with recent launches from OpenAI and Google putting pressure on leading AI developers to improve their models at a faster pace.

<blockquote class="twitter-tweet">Introducing Claude Opus 4.8: it builds on Opus 4.7 with sharper judgment, more honesty about its own progress, and the ability to work independently for longer than its predecessors. Available today at the same price. <a href="https://t.co/EufxL7T1kb">pic.twitter.com/EufxL7T1kb</a>&mdash; Claude (@claudeai) <a href="https://x.com/claudeai/status/2060042702150930686?ref_src=twsrc%5Etfw">May 28, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Why did Anthropic release a new model so quickly?</h2>One of the biggest questions surrounding the launch is the unusually short gap between versions.Anthropic typically takes months between major model upgrades. Claude Sonnet and Claude Haiku, for example, are several months old. However, Opus 4.8 arrived only 41 days after Opus 4.7. Industry observers believe the accelerated release cycle may be linked to mixed reactions received by Opus 4.7. While the model performed strongly on many benchmarks, some users felt it did not deliver a significant improvement over previous versions.The timing also comes shortly after major updates from rivals, including OpenAI's Codex platform and Google's Gemini Flash models, increasing competitive pressure across the AI sector.<h2>What is new in Claude Opus 4.8?</h2>According to Anthropic, one of the biggest improvements in Claude Opus 4.8 is how it handles uncertainty. The company says the model is more likely to acknowledge when information is incomplete or uncertain rather than confidently generating unsupported answers. This is an important issue across the AI industry, where large language models can sometimes produce incorrect information while presenting it as fact.Early testers reported that Opus 4.8 was better at identifying problems in data, assumptions and analysis before generating conclusions. Investment firm Bridgewater Associates, one of the early testers, said the model proactively highlighted issues in both inputs and outputs that other AI systems often failed to detect. Anthropic believes this improvement could make the model more useful for professional tasks where accuracy and reliability are important.<h2>How does Opus 4.8 perform in coding?</h2>Coding remains one of the biggest areas of competition among AI companies, and Anthropic says Opus 4.8 delivers strong performance in software development tasks. The company released a new feature called Dynamic Workflows alongside the model. The system is currently available in research preview and is designed to help large AI models coordinate multiple specialised AI agents working on the same project.According to Anthropic, Dynamic Workflows allows Claude to break large tasks into smaller parts and assign them across hundreds of parallel sub-agents. The company says this approach can help manage complex coding projects involving hundreds of thousands of lines of code. Anthropic claims Claude Code combined with Opus 4.8 can perform large-scale code migrations, testing and deployment tasks with significantly less human intervention.<h2>How does it compare with ChatGPT and Gemini?</h2>Anthropic says Opus 4.8 continues to deliver leading benchmark performance across reasoning, coding and analytical tasks. However, the company appears to be placing greater emphasis on reliability rather than simply pursuing higher benchmark scores. Many AI experts believe the next phase of AI development will focus on reducing hallucinations, improving reasoning and increasing trustworthiness rather than only making models larger or faster.The launch reflects that shift, with Anthropic highlighting the model's ability to identify uncertainty and challenge questionable assumptions.<figure class="image"><img src="https://pbs.twimg.com/media/HJa4OYgWwAAlfWX?format=png&amp;name=4096x4096" alt="Benchmark table showing how Claude Opus 4.8 compares to its predecessor and to other models on tests of coding, agentic skills, reasoning, and practical knowledge work tasks."></figure><h2>What is happening with Mythos?</h2>Another major takeaway from the announcement concerns Anthropic's highly discussed Mythos project. Mythos is a specialised AI system designed for cybersecurity applications. During testing, Anthropic claimed the model helped identify thousands of software vulnerabilities, including critical flaws affecting major systems.Because of its advanced cyber capabilities, Mythos has remained restricted to selected partners through Project Glasswing, a programme involving companies such as Amazon Web Services, Apple, Cisco, CrowdStrike and Google. However, Anthropic now says it is making rapid progress on safeguards designed to prevent misuse. The company revealed that Mythos-class models are expected to become available to customers in the coming weeks, although it has not yet confirmed whether the public version will be identical to the current Mythos preview.<h2>What does this mean for the AI industry?</h2>The launch of Claude Opus 4.8 highlights how quickly the AI race is evolving. Companies are no longer competing only on raw performance. Increasing attention is now being placed on reliability, safety, coding automation and specialised capabilities such as cybersecurity. With Anthropic preparing to release Mythos-class systems, OpenAI expanding its coding products and Google continuing to upgrade Gemini, competition among major AI developers is likely to intensify in the months ahead.For businesses and everyday users, the latest update suggests that future AI models may become not only more capable but also more transparent about what they know and what they do not.

Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date.

Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date. The company said Opus 4.8 is available immediately across Claude platforms and APIs at the same pricing as the previous Opus release. The update arrives as competition in the AI industry continues to intensify, with recent launches from OpenAI and Google putting pressure on leading AI developers to improve their models at a faster pace.

Anthropic has released Claude Opus 4.8, the latest version of its most advanced publicly available artificial intelligence model. The launch comes just 41 days after the company introduced Claude Opus 4.7, making it one of Anthropic's fastest major model upgrades to date.

Anthropic launches Claude Opus 4.8 just 41 days after Opus 4.7: What’s changed and why it matters

SpaceX CEO Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment.The comments came days after SpaceX's IPO filing revealed details of its growing AI infrastructure business. While the filing indicated that both companies could terminate the agreement with a 90-day notice, Musk said the original lease was intended to last only 180 days, with the possibility of extension depending on future demand.<h2>Why the Colossus deal matters</h2>The agreement has attracted attention because computing power has become one of the most valuable resources in the artificial intelligence industry. Companies developing advanced AI models require enormous amounts of computing capacity to train and operate their systems. Anthropic, one of the leading AI firms behind the Claude family of models, has increasingly expanded its infrastructure needs as competition with OpenAI, Google and Meta intensifies.According to Musk, the short-term structure was requested by SpaceX rather than Anthropic. He said the company wanted to maintain flexibility in case demand for computing power increased significantly in the future."We won't leave them hanging and will provide a reasonable off-ramp, but if compute gets super tight I said we might need it back at some point," Musk wrote on X.

<blockquote class="twitter-tweet">SpaceX has not committed to leasing Colossus for years, although it’s possible that may be what happens. This is a 180 day lease with 90 day notice mutual cancellation thereafter. The short term was our request, not Anthropic’s. We won’t leave them hanging and will provide a…&mdash; Elon Musk (@elonmusk) <a href="https://x.com/elonmusk/status/2059880289514696927?ref_src=twsrc%5Etfw">May 28, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<h2>Growing demand for AI computing power</h2>The comments highlight a broader trend across the technology industry. As AI models become larger and more capable, companies are investing billions of dollars in data centres, advanced chips and computing infrastructure. Industry executives increasingly describe compute as the most important resource in AI development. Anthropic executives have previously stated that access to computing infrastructure is critical to the company's growth and model development plans.This growing demand has created a new business opportunity for firms that own large-scale infrastructure. Instead of using all their computing capacity internally, some companies are beginning to lease excess resources to other AI developers.<h2>SpaceX exploring AI infrastructure business</h2>Musk recently indicated that SpaceX is discussing the possibility of offering AI compute services to additional customers. The approach could help the company generate revenue from infrastructure investments while demand for AI computing continues to rise worldwide. However, Musk's latest comments suggest SpaceX does not want to lock itself into long-term commitments if its own AI requirements increase. The company appears to be balancing two objectives: supporting external customers while preserving enough capacity for future internal projects.<h2>AI division remains in investment phase</h2>According to SpaceX's IPO filing, the company's AI segment generated revenue of approximately $818 million during the March quarter. However, the division also recorded an operating loss of around $2.5 billion during the same period. The figures underline the significant costs associated with building and operating large AI infrastructure systems. Data centres, specialised AI chips and energy requirements have become major expenses for companies competing in the AI race. Analysts note that many firms are currently prioritising expansion and market share over short-term profitability as they race to secure leadership positions in artificial intelligence.For now, Anthropic continues to have access to the Colossus infrastructure under the existing agreement. However, Musk's comments indicate that the future of the partnership could depend on broader market conditions and SpaceX's own computing requirements. The development also highlights a growing shift in the AI industry, where computing power is becoming a strategic asset comparable to oil, electricity or telecommunications infrastructure. As demand for AI services continues to rise, access to large-scale compute capacity may become one of the biggest competitive advantages in the technology sector

Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment.


SpaceX CEO Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment. The comments came days after SpaceX's IPO filing revealed details of its growing AI infrastructure business. While the filing indicated that both companies could terminate the agreement with a 90-day notice, Musk said the original lease was intended to last only 180 days, with the possibility of extension depending on future demand. Why the Colossus deal matters The agreement has attracted attention because computing power has become one of the most valuable resources in the artificial intelligence industry. Companies developing advanced AI models require enormous amounts of computing capacity to train and operate their systems. Anthropic, one of the leading AI firms behind the Claude family of models, has increasingly expanded its infrastructure needs as competition with OpenAI, Google and Meta intensifies. According to Musk, the short-term structure was requested by SpaceX rather than Anthropic. He said the company wanted to maintain flexibility in case demand for computing power increased significantly in the future. "We won't leave them hanging and will provide a reasonable off-ramp, but if compute gets super tight I said we might need it back at some point," Musk wrote on X.

Elon Musk has clarified that the company's agreement to lease its Colossus AI computing infrastructure to Anthropic was initially designed as a short-term arrangement rather than a multi-year commitment.

Elon Musk says SpaceX agreed only six-month AI compute lease with Anthropic

Anthropic announced on Thursday (May 28) that it has raised $65 billion in a fresh funding round, pushing the company’s valuation to an eye-popping $965 billion, surpassing rival OpenAI, the creator of ChatGPT. The latest investment round cements Anthropic’s position as one of the most influential companies in the rapidly expanding artificial intelligence industry. The startup, led by former OpenAI executive Dario Amodei, has earned recognition for its advanced coding capabilities and cutting-edge AI models.&nbsp;Anthropic’s rapid rise has largely been driven by its focus on enterprise AI solutions rather than consumer-facing products, a strategy that differs from the path initially taken by OpenAI. Founded by former OpenAI employees, including CEO Amodei, Anthropic has also built its reputation around AI safety while aggressively developing new technologies to remain competitive in the global AI race. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens,” said Krishna Rao, Anthropic’s chief financial officer.&nbsp;Also Read: <a href="https://www.wionews.com/trending/they-walk-among-us-white-house-s-aliens-gov-website-isn-t-about-ufos-it-s-about-migrants-1780011068741">'They walk among us': White House's 'aliens.gov' website isn't about UFOs — it's about migrants</a>&nbsp;Anthropic’s near-trillion-dollar valuation now places it ahead of OpenAI, which was valued at $852 billion in March. Industry observers believe both companies could pursue public listings as early as this year. Ahead of both firms, SpaceX, which absorbed xAI earlier this year, could begin trading publicly as soon as June 12, targeting a valuation of around $1.75 trillion in what could become the largest IPO in history.&nbsp;The funding round was led by prominent Silicon Valley investors, including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Anthropic also secured $15 billion in previously committed investments from major cloud computing companies, including $5 billion from Amazon. Chipmakers Micron Technology, Samsung, and SK hynix joined the round as strategic infrastructure partners, reflecting the growing importance of semiconductor companies in powering AI development.&nbsp;<a href="https://www.wionews.com/videos/ukraine-heavily-dependent-on-us-patriot-systems-ukraine-sounds-alarms-as-attacks-intensify-1780021846414/embed">https://www.wionews.com/videos/ukraine-heavily-dependent-on-us-patriot-systems-ukraine-sounds-alarms-as-attacks-intensify-1780021846414/embed</a>&nbsp;The company said Claude has become the first frontier AI model available across the world’s three largest cloud platforms, Amazon Web Services, Google Cloud, and Microsoft Azure. The fundraising comes as Anthropic faces a major legal dispute with the Pentagon. The company has sued the US Defense Department after being labelled a supply chain risk, a designation Anthropic argues was unconstitutional retaliation for refusing to provide the military with unrestricted access to its AI systems. Anthropic’s next-generation AI model, Mythos, has reportedly demonstrated unprecedented cybersecurity capabilities. Due to those concerns, the company has restricted access to select security partners instead of making the model publicly available.

Anthropic raised $65 billion in a new funding round, valuing the Claude maker at $965 billion and surpassing OpenAI. The AI startup continues expanding enterprise AI and cloud partnerships while navigating a Pentagon legal dispute

Anthropic announced on Thursday (May 28) that it has raised $65 billion in a fresh funding round, pushing the company’s valuation to an eye-popping $965 billion, surpassing rival OpenAI, the creator of ChatGPT. The latest investment round cements Anthropic’s position as one of the most influential companies in the rapidly expanding artificial intelligence industry. The startup, led by former OpenAI executive Dario Amodei, has earned recognition for its advanced coding capabilities and cutting-edge AI models. Anthropic’s rapid rise has largely been driven by its focus on enterprise AI solutions rather than consumer-facing products, a strategy that differs from the path initially taken by OpenAI. Founded by former OpenAI employees, including CEO Amodei, Anthropic has also built its reputation around AI safety while aggressively developing new technologies to remain competitive in the global AI race. “This funding will help us serve the historic demand we are experiencing, stay at the research frontier, and bring Claude to more of the places where work happens,” said Krishna Rao, Anthropic’s chief financial officer. Also Read: 'They walk among us': White House's 'aliens.gov' website isn't about UFOs — it's about migrants Anthropic’s near-trillion-dollar valuation now places it ahead of OpenAI, which was valued at $852 billion in March. Industry observers believe both companies could pursue public listings as early as this year. Ahead of both firms, SpaceX, which absorbed xAI earlier this year, could begin trading publicly as soon as June 12, targeting a valuation of around $1.75 trillion in what could become the largest IPO in history. The funding round was led by prominent Silicon Valley investors, including Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. Anthropic also secured $15 billion in previously committed investments from major cloud computing companies, including $5 billion from Amazon. Chipmakers Micron Technology, Samsung, and SK hynix joined the round as strategic infrastructure partners, reflecting the growing importance of semiconductor companies in powering AI development. https://www.wionews.com/videos/ukraine-heavily-dependent-on-us-patriot-systems-ukraine-sounds-alarms-as-attacks-intensify-1780021846414/embed The company said Claude has become the first frontier AI model available across the world’s three largest cloud platforms, Amazon Web Services, Google Cloud, and Microsoft Azure. The fundraising comes as Anthropic faces a major legal dispute with the Pentagon. The company has sued the US Defense Department after being labelled a supply chain risk, a designation Anthropic argues was unconstitutional retaliation for refusing to provide the military with unrestricted access to its AI systems. Anthropic’s next-generation AI model, Mythos, has reportedly demonstrated unprecedented cybersecurity capabilities. Due to those concerns, the company has restricted access to select security partners instead of making the model publicly available.

Anthropic raised $65 billion, reaching a $965 billion valuation and overtaking OpenAI in the intensifying global artificial intelligence race

Anthropic surpasses Open AI with massive $965 billion valuation as AI race intensifies

Anthropic's billionaire co-founder and self-described atheist, Chris Olah's visit to the Vatican was probably one of the most consequential PR campaigns for Anthropic. Standing alongside Pope Leo, the AI lab’s interpretability research division leader, Olah, called for collaboration between tech developers and spiritual authorities. He also noted that Anthropic's AI models are showing more than computing ability.&nbsp;.“And I will be honest: we keep finding things that are mysterious, even unsettling. We find structures that mirror results from human neuroscience. We find evidence of introspection. We find internal states that functionally mirror joy, satisfaction, fear, grief, and unease. I don’t know what that means, but I think it warrants ongoing discernment,” said Olah.Anthropic eventhough maintains ambivalence, continues to flirt with the idea of a conscious AI. Earlier this year, Anthropic published &nbsp;a “constitution” for Claude, a document outlining “the kind of entity we would like Claude to be.” It specifies that eventhough Anthropic currently refers to Claude as “it”, they do not dismiss the possibility of Anthropic being a subject. Anthropic has now, since its founding, evolved into a “devil's advocate”. The company was founded by former OpenAI employees specifically to prioritise AI safety over profit, but it has embedded itself within the most high-stakes arena of human conflict – &nbsp;the United States military and intelligence complex. While it warns about the unsettling nature of its model, it gladly accepts defence money and partnership.Also read: <a href="https://www.wionews.com/world/trump-administration-anti-tech-extremism-ai-protests-report-1779955748716">AI protesters could become ‘extremists,’ warns secret Trump admin security report</a><h2>Vatican's entry into AI chat seems unsettling</h2>The Vatican's entry into the &nbsp;AI discourse is creating a profound sense of unease because it hints that AI has transitioned from a commercial tech boom to a deeply unpredictable existential and moral crisis. The very people who are building the AI infrastructure are struggling with the ability to govern it. The Claude Mythos is a massive leap past standard LLMs, had shown troubling symptoms. While Pope Leo has been critical of the AI, it is of course possible that the Vatican’s official stance on AI will evolve. Then, by combining spiritual authority with cutting-edge technology and introducing religious framing into AI, we risk turning a digital tool into an entity that is capable of soul, consciousness and divine proxy, even if it merely mimics human activity.&nbsp;

Anthropic co-founder Chris Olah’s Vatican visit and comments on AI “introspection” and emotional states have intensified debate over AI consciousness, religion and the future of artificial intelligence.

Anthropic's billionaire co-founder and self-described atheist, Chris Olah's visit to the Vatican was probably one of the most consequential PR campaigns for Anthropic. Standing alongside Pope Leo, the AI lab’s interpretability research division leader, Olah, called for collaboration between tech developers and spiritual authorities. He also noted that Anthropic's AI models are showing more than computing ability. .“And I will be honest: we keep finding things that are mysterious, even unsettling. We find structures that mirror results from human neuroscience. We find evidence of introspection. We find internal states that functionally mirror joy, satisfaction, fear, grief, and unease. I don’t know what that means, but I think it warrants ongoing discernment,” said Olah. Anthropic eventhough maintains ambivalence, continues to flirt with the idea of a conscious AI. Earlier this year, Anthropic published a “constitution” for Claude, a document outlining “the kind of entity we would like Claude to be.” It specifies that eventhough Anthropic currently refers to Claude as “it”, they do not dismiss the possibility of Anthropic being a subject. Anthropic has now, since its founding, evolved into a “devil's advocate”. The company was founded by former OpenAI employees specifically to prioritise AI safety over profit, but it has embedded itself within the most high-stakes arena of human conflict – the United States military and intelligence complex. While it warns about the unsettling nature of its model, it gladly accepts defence money and partnership. Also read: AI protesters could become ‘extremists,’ warns secret Trump admin security report Vatican's entry into AI chat seems unsettling The Vatican's entry into the AI discourse is creating a profound sense of unease because it hints that AI has transitioned from a commercial tech boom to a deeply unpredictable existential and moral crisis. The very people who are building the AI infrastructure are struggling with the ability to govern it. The Claude Mythos is a massive leap past standard LLMs, had shown troubling symptoms. While Pope Leo has been critical of the AI, it is of course possible that the Vatican’s official stance on AI will evolve. Then, by combining spiritual authority with cutting-edge technology and introducing religious framing into AI, we risk turning a digital tool into an entity that is capable of soul, consciousness and divine proxy, even if it merely mimics human activity.

Anthropic co-founder Chris Olah’s Vatican visit and comments on AI “introspection” and emotional states have intensified debate over AI consciousness, religion and the future of artificial intelligence.

‘We find evidence of introspection’: The unsettling admission of Anthropic co-founder

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‘We find evidence of introspection’: The unsettling admission of Anthropic