Two months ago, Anthropic warned that its most advanced artificial intelligence system, Claude Mythos Preview, was too powerful and potentially too risky for a public release. The company argued that the model's ability to identify software vulnerabilities and analyse complex systems raised serious cybersecurity concerns. As a result, access was restricted to a small group of trusted organisations, including government agencies, cybersecurity firms and operators of critical infrastructure.Now, Anthropic has taken a different approach. The company has launched Claude Fable 5, a publicly available AI model built on the same Mythos-class technology. The move has sparked an important question: if Mythos was considered too dangerous in April, what changed by June?<h2>What made Mythos different from other AI models?</h2>According to Anthropic, Mythos represents a major leap in AI capabilities. The model was designed to understand large software systems, analyse code, identify security flaws and solve complex technical problems with very limited human guidance. Anthropic previously described it as a "step change" in capability compared to its earlier models.The company's internal testing suggested that Mythos could uncover severe vulnerabilities across major operating systems and web browsers. In one case, Anthropic said the model helped identify a security issue that had reportedly remained undiscovered for nearly 30 years. While these capabilities could help security researchers strengthen software systems, they also raised concerns. Anthropic feared that malicious actors could potentially use the technology to identify weaknesses in critical infrastructure, financial networks and other important systems.That risk led the company to keep the model away from the general public and limit access through its Project Glasswing initiative.<h2>What did security experts find?</h2>Concerns about Mythos were not limited to Anthropic itself. Earlier this year, the UK's AI Security Institute evaluated Claude Mythos Preview and found a significant increase in cybersecurity capabilities compared to previous AI models. According to the assessment, the model successfully solved around 73 per cent of expert-level cybersecurity challenges in controlled benchmark tests.These tests involved complex capture-the-flag style challenges designed to simulate real-world cyber problems. Researchers noted that Mythos showed stronger reasoning, planning and problem-solving abilities across difficult tasks. Unlike earlier models, which often struggled as challenges became more advanced, Mythos maintained relatively strong performance throughout. Those results helped fuel concerns among policymakers and cybersecurity experts about how such systems could be used if released without restrictions.<h2>So why did Anthropic launch Fable 5?</h2>The answer lies in safety controls rather than changes to the underlying technology. According to Anthropic, Claude Fable 5 uses the same Mythos-class foundation model but adds a series of safeguards designed to prevent users from accessing the most sensitive capabilities. When users ask questions involving high-risk areas such as cybersecurity, biological research or other potentially dangerous topics, the system automatically redirects those requests to Claude Opus 4.8, a less capable but safer model.Anthropic said these protections were deliberately designed to be conservative. In some cases, harmless requests may also be blocked. However, the company estimates that the safeguards activate in fewer than five per cent of user sessions on average. The goal is to allow users to benefit from the model's advanced reasoning and productivity features while limiting access to its most powerful capabilities.<h2>How did Anthropic test the model?</h2>Before releasing Fable 5, Anthropic says it carried out extensive testing. The company subjected the model to internal evaluations, red-team exercises and external adversarial testing designed to uncover weaknesses in its safety systems. These tests attempted to bypass the model's restrictions and access sensitive capabilities through various techniques.According to Anthropic, the results gave the company confidence that Fable 5 could be made available to the public while maintaining acceptable safety standards. At the same time, Anthropic acknowledges that AI safety remains an evolving challenge. The company says it plans to continue improving its safeguards as future models become even more capable.<h2>What is Mythos 5 and who can use it?</h2>While Fable 5 is available to a wider audience, Anthropic is also releasing a more advanced version called Mythos 5. Unlike Fable 5, Mythos 5 is being offered only to a small group of approved organisations, including cybersecurity specialists, infrastructure providers and selected institutions working closely with governments. In some cases, the additional safeguards used in Fable 5 are relaxed to allow researchers to perform advanced security work.This approach allows Anthropic to continue supporting critical security research while limiting broader access to potentially sensitive capabilities.<h2>What does this mean for the future of AI?</h2>The launch of Fable 5 highlights a growing challenge facing the AI industry. Companies are developing increasingly powerful systems capable of coding, reasoning, research and technical analysis. At the same time, those capabilities can introduce new risks if they fall into the wrong hands. Anthropic's solution appears to be a layered approach: release powerful AI models to the public, but surround them with safety controls that limit access to higher-risk functions. Whether this model becomes an industry standard remains to be seen. However, Fable 5 may offer an early glimpse of how future frontier AI systems are deployed powerful enough to help millions of users, but carefully restricted when it comes to capabilities that could create security risks.For now, Anthropic believes that balance allows it to make Mythos-class technology available to the public without exposing the most concerning parts of the system

Anthropic has launched Claude Fable 5, bringing Mythos-class AI to the public with strict safety guardrails. The model delivers advanced coding, reasoning and analysis capabilities while limiting access to high-risk areas such as cybersecurity and biology.


Two months ago, Anthropic warned that its most advanced artificial intelligence system, Claude Mythos Preview, was too powerful and potentially too risky for a public release. The company argued that the model's ability to identify software vulnerabilities and analyse complex systems raised serious cybersecurity concerns. As a result, access was restricted to a small group of trusted organisations, including government agencies, cybersecurity firms and operators of critical infrastructure. Now, Anthropic has taken a different approach. The company has launched Claude Fable 5, a publicly available AI model built on the same Mythos-class technology. The move has sparked an important question: if Mythos was considered too dangerous in April, what changed by June? What made Mythos different from other AI models? According to Anthropic, Mythos represents a major leap in AI capabilities. The model was designed to understand large software systems, analyse code, identify security flaws and solve complex technical problems with very limited human guidance. Anthropic previously described it as a "step change" in capability compared to its earlier models. The company's internal testing suggested that Mythos could uncover severe vulnerabilities across major operating systems and web browsers. In one case, Anthropic said the model helped identify a security issue that had reportedly remained undiscovered for nearly 30 years. While these capabilities could help security researchers strengthen software systems, they also raised concerns. Anthropic feared that malicious actors could potentially use the technology to identify weaknesses in critical infrastructure, financial networks and other important systems. That risk led the company to keep the model away from the general public and limit access through its Project Glasswing initiative. What did security experts find? Concerns about Mythos were not limited to Anthropic itself. Earlier this year, the UK's AI Security Institute evaluated Claude Mythos Preview and found a significant increase in cybersecurity capabilities compared to previous AI models. According to the assessment, the model successfully solved around 73 per cent of expert-level cybersecurity challenges in controlled benchmark tests. These tests involved complex capture-the-flag style challenges designed to simulate real-world cyber problems. Researchers noted that Mythos showed stronger reasoning, planning and problem-solving abilities across difficult tasks. Unlike earlier models, which often struggled as challenges became more advanced, Mythos maintained relatively strong performance throughout. Those results helped fuel concerns among policymakers and cybersecurity experts about how such systems could be used if released without restrictions. So why did Anthropic launch Fable 5? The answer lies in safety controls rather than changes to the underlying technology. According to Anthropic, Claude Fable 5 uses the same Mythos-class foundation model but adds a series of safeguards designed to prevent users from accessing the most sensitive capabilities. When users ask questions involving high-risk areas such as cybersecurity, biological research or other potentially dangerous topics, the system automatically redirects those requests to Claude Opus 4.8, a less capable but safer model. Anthropic said these protections were deliberately designed to be conservative. In some cases, harmless requests may also be blocked. However, the company estimates that the safeguards activate in fewer than five per cent of user sessions on average. The goal is to allow users to benefit from the model's advanced reasoning and productivity features while limiting access to its most powerful capabilities. How did Anthropic test the model? Before releasing Fable 5, Anthropic says it carried out extensive testing. The company subjected the model to internal evaluations, red-team exercises and external adversarial testing designed to uncover weaknesses in its safety systems. These tests attempted to bypass the model's restrictions and access sensitive capabilities through various techniques. According to Anthropic, the results gave the company confidence that Fable 5 could be made available to the public while maintaining acceptable safety standards. At the same time, Anthropic acknowledges that AI safety remains an evolving challenge. The company says it plans to continue improving its safeguards as future models become even more capable. What is Mythos 5 and who can use it? While Fable 5 is available to a wider audience, Anthropic is also releasing a more advanced version called Mythos 5. Unlike Fable 5, Mythos 5 is being offered only to a small group of approved organisations, including cybersecurity specialists, infrastructure providers and selected institutions working closely with governments. In some cases, the additional safeguards used in Fable 5 are relaxed to allow researchers to perform advanced security work. This approach allows Anthropic to continue supporting critical security research while limiting broader access to potentially sensitive capabilities. What does this mean for the future of AI? The launch of Fable 5 highlights a growing challenge facing the AI industry. Companies are developing increasingly powerful systems capable of coding, reasoning, research and technical analysis. At the same time, those capabilities can introduce new risks if they fall into the wrong hands. Anthropic's solution appears to be a layered approach: release powerful AI models to the public, but surround them with safety controls that limit access to higher-risk functions. Whether this model becomes an industry standard remains to be seen. However, Fable 5 may offer an early glimpse of how future frontier AI systems are deployed powerful enough to help millions of users, but carefully restricted when it comes to capabilities that could create security risks. For now, Anthropic believes that balance allows it to make Mythos-class technology available to the public without exposing the most concerning parts of the system

Anthropic has launched Claude Fable 5, bringing Mythos-class AI to the public with strict safety guardrails. The model delivers advanced coding, reasoning and analysis capabilities while limiting access to high-risk areas such as cybersecurity and biology.

‘Despite safety concerns’: Why is Anthropic’s ‘dangerous’ Mythos AI now available to the public through Claude Fable 5?

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

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. Speaking alongside Pope Leo XIV, Olah said the impact of AI on jobs could be significant, and supporting displaced workers would become a major global responsibility. He noted that if large-scale job losses occur, addressing them would be a “moral imperative of historic proportions.”<h2>Risk of large-scale job displacement</h2> Olah stressed that AI development cannot be left only to technology companies. He said firms like Anthropic operate under commercial, geopolitical and internal pressures that may not always align with broader societal interests. According to him, even well-intentioned researchers are influenced by these forces, which makes external oversight important. He called for stronger involvement from governments, civil society and other institutions to ensure that AI systems are developed responsibly.<h2>Global inequality in AI development</h2> He also raised concerns about the possibility of widespread job displacement. As AI systems improve, they may automate many types of work, reducing the need for human labour across sectors. This could create economic imbalance and increase inequality if proper safeguards are not in place. Olah pointed out that preparing for this transition is essential, especially as AI continues to advance rapidly.Another key concern he highlighted is the complex behaviour of AI systems. He said researchers are increasingly observing patterns in AI models that are difficult to fully understand. Some systems show internal decision-making processes and behaviours that resemble human-like responses, making them harder to predict and interpret. This adds to the challenge of ensuring safety and control as AI systems become more powerful.<h2>What this means for the future</h2> Olah also spoke about global inequality in AI development. He noted that most advanced AI systems are being built in a small number of wealthy countries, raising questions about how the benefits of this technology will be shared worldwide. Without proper policies, there is a risk that AI could widen economic gaps between nations rather than reduce them.He concluded by calling for independent voices and critics to play a role in shaping the future of AI. According to him, the questions raised by artificial intelligence go beyond the technology sector and require broader public discussion. His remarks reflect a growing concern within the industry that while AI offers major benefits, it also requires careful management to ensure that its impact on society remains balanced and fair.

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. 


Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed. Speaking alongside Pope Leo XIV, Olah said the impact of AI on jobs could be significant, and supporting displaced workers would become a major global responsibility. He noted that if large-scale job losses occur, addressing them would be a “moral imperative of historic proportions.” Risk of large-scale job displacement Olah stressed that AI development cannot be left only to technology companies. He said firms like Anthropic operate under commercial, geopolitical and internal pressures that may not always align with broader societal interests. According to him, even well-intentioned researchers are influenced by these forces, which makes external oversight important. He called for stronger involvement from governments, civil society and other institutions to ensure that AI systems are developed responsibly. Global inequality in AI development He also raised concerns about the possibility of widespread job displacement. As AI systems improve, they may automate many types of work, reducing the need for human labour across sectors. This could create economic imbalance and increase inequality if proper safeguards are not in place. Olah pointed out that preparing for this transition is essential, especially as AI continues to advance rapidly. Another key concern he highlighted is the complex behaviour of AI systems. He said researchers are increasingly observing patterns in AI models that are difficult to fully understand. Some systems show internal decision-making processes and behaviours that resemble human-like responses, making them harder to predict and interpret. This adds to the challenge of ensuring safety and control as AI systems become more powerful. What this means for the future Olah also spoke about global inequality in AI development. He noted that most advanced AI systems are being built in a small number of wealthy countries, raising questions about how the benefits of this technology will be shared worldwide. Without proper policies, there is a risk that AI could widen economic gaps between nations rather than reduce them. He concluded by calling for independent voices and critics to play a role in shaping the future of AI. According to him, the questions raised by artificial intelligence go beyond the technology sector and require broader public discussion. His remarks reflect a growing concern within the industry that while AI offers major benefits, it also requires careful management to ensure that its impact on society remains balanced and fair.

Christopher Olah, co-founder of Anthropic, has warned that artificial intelligence could replace human labour on a large scale if its development is not carefully managed.&nbsp;

AI could replace human labour at large scale, warns Anthropic co-founder Christopher Olah

Claude took down an entire organisation with 60+ accounts and offered no clear explanation for the decision. The CEO posted the issue on X, saying the only way to appeal the decision was by filling out a Google Form.

Anthropic blocks entire company out of Claude without a reasonable explanation

Anthropic has introduced its latest model, Claude Opus 4.7, with a strong focus on safety and responsible use. The company said the new system is designed to reduce risks linked to misuse, especially in areas such as cybersecurity, while still supporting legitimate business and research needs.According to the company’s release, the model includes automated safeguards that can detect and block high-risk or restricted activities.Claude Opus 4.7?Claude Opus 4.7 is an upgraded AI model built for tasks such as:Software developmentData analysisImage understandingComplex reasoningIt is part of Anthropic’s broader effort to develop advanced AI systems that remain aligned with safety standards.The company positioned Opus 4.7 as a more accessible version compared to its highly advanced “Mythos” model, which remains restricted due to potential risks.How the new safety safeguards workOne of the key highlights of Claude Opus 4.7 is its built-in safety system.According to the company, the model can:Detect harmful or high-risk promptsBlock or limit responses linked to cyberattacksAllow safe and legitimate security researchMonitor patterns of misuseThese safeguards are designed to strike a balance between usability and risk control.Anthropic said the goal is to prevent misuse without limiting productive use cases for developers and enterprises.<h2>Why AI safety is becoming important</h2>As AI models become more powerful, concerns around misuse have increased.Industry experts have raised concerns about AI being used in:CyberattacksData exploitationInfrastructure disruptionAnthropic’s approach reflects a wider trend in the AI industry, where companies are building safety mechanisms directly into their systems. The company uses what it calls a “constitutional AI” framework, which embeds ethical rules into how the model behaves. This approach aims to ensure the system follows defined guidelines while interacting with users.Enterprise adoption and real-world useClaude Opus 4.7 has already been tested by companies including:IntuitNotionShopifyThese early tests focused on practical use cases such as coding, workflow automation and data processing. According to the company, feedback from enterprise users has helped refine both performance and safety features.<h2>What this means for the AI industry</h2>The launch of Claude Opus 4.7 shows how AI development is shifting. Earlier, the focus was mainly on improving performance. Now, companies are also focusing on:SafetyComplianceRisk managementAnthropic’s latest model reflects this change, where capability and control are being developed together. As AI systems become more widely used, building safeguards may become as important as improving performance.&nbsp; Claude Opus 4.7 arrives at a time when global discussions around AI regulation and safety are increasing. By introducing stronger safeguards, Anthropic is signalling that future AI systems will need to balance innovation with responsibility. For users and businesses, this means more capable tools but also systems that are designed to reduce risk from the start.&nbsp;

Anthropic has launched Claude Opus 4.7, a new AI model focused on safety, risk control and enterprise use. The model is designed to handle tasks like coding, data analysis and reasoning, while using built-in safeguards to detect and block harmful activities such as cyberattacks.

Anthropic has introduced its latest model, Claude Opus 4.7, with a strong focus on safety and responsible use. The company said the new system is designed to reduce risks linked to misuse, especially in areas such as cybersecurity, while still supporting legitimate business and research needs. According to the company’s release, the model includes automated safeguards that can detect and block high-risk or restricted activities. Claude Opus 4.7? Claude Opus 4.7 is an upgraded AI model built for tasks such as: Software development Data analysis Image understanding Complex reasoning It is part of Anthropic’s broader effort to develop advanced AI systems that remain aligned with safety standards. The company positioned Opus 4.7 as a more accessible version compared to its highly advanced “Mythos” model, which remains restricted due to potential risks. How the new safety safeguards work One of the key highlights of Claude Opus 4.7 is its built-in safety system. According to the company, the model can: Detect harmful or high-risk prompts Block or limit responses linked to cyberattacks Allow safe and legitimate security research Monitor patterns of misuse These safeguards are designed to strike a balance between usability and risk control. Anthropic said the goal is to prevent misuse without limiting productive use cases for developers and enterprises. Why AI safety is becoming important As AI models become more powerful, concerns around misuse have increased. Industry experts have raised concerns about AI being used in: Cyberattacks Data exploitation Infrastructure disruption Anthropic’s approach reflects a wider trend in the AI industry, where companies are building safety mechanisms directly into their systems. The company uses what it calls a “constitutional AI” framework, which embeds ethical rules into how the model behaves. This approach aims to ensure the system follows defined guidelines while interacting with users. Enterprise adoption and real-world use Claude Opus 4.7 has already been tested by companies including: Intuit Notion Shopify These early tests focused on practical use cases such as coding, workflow automation and data processing. According to the company, feedback from enterprise users has helped refine both performance and safety features. What this means for the AI industry The launch of Claude Opus 4.7 shows how AI development is shifting. Earlier, the focus was mainly on improving performance. Now, companies are also focusing on: Safety Compliance Risk management Anthropic’s latest model reflects this change, where capability and control are being developed together. As AI systems become more widely used, building safeguards may become as important as improving performance. Claude Opus 4.7 arrives at a time when global discussions around AI regulation and safety are increasing. By introducing stronger safeguards, Anthropic is signalling that future AI systems will need to balance innovation with responsibility. For users and businesses, this means more capable tools but also systems that are designed to reduce risk from the start.

Anthropic has launched Claude Opus 4.7, a new AI model focused on safety, risk control and enterprise use. The model is designed to handle tasks like coding, data analysis and reasoning, while using built-in safeguards to detect and block harmful activities such as cyberattacks.

Anthropic launches Claude Opus 4.7 with new safeguards to reduce high-risk AI misuse

AI companies are now racing not only to build better models but also to secure the computing power needed to run them. According to reports, Anthropic is exploring the possibility of designing its own AI chips to power its Claude chatbot and AI systems.The move comes as demand for high-performance computing continues to rise across the global AI industry. Reports suggest the company is studying whether building its own chips could reduce reliance on hardware suppliers and ensure a steady supply of computing power.<h2>Why Anthropic is considering building its own chips</h2>AI models require massive computing resources. Training and running modern systems often needs thousands of specialised processors. At present, Anthropic relies on hardware from several partners, including chips from Nvidia, Google, and other infrastructure providers.These chips are used to train and run large language models such as Claude.However, the global AI boom has created strong demand for advanced processors. Access to these chips has become one of the main challenges for AI companies expanding their services. To address this, Anthropic is reportedly exploring whether designing its own chips could give it more control over cost, performance and availability. Industry analysts say the idea is still at an early stage. The company has not announced a final design or created a dedicated team for the project yet.<h2>Current infrastructure powering Claude AI</h2>Right now, Claude AI runs on a mix of specialised hardware across different platforms. Anthropic uses infrastructure such as:Amazon’s AI chips including Trainium and InferentiaGoogle’s Tensor Processing Units (TPUs)Nvidia’s GPUs used widely across the AI industryThese processors help train models, run inference tasks and support cloud-based AI services.But as models become larger and more complex, companies increasingly want greater control over their computing infrastructure.<h2>Why many AI firms are building custom chips</h2>Anthropic would not be the first AI company to explore custom hardware.Several large technology firms have already invested heavily in developing their own processors. For example:Google developed its Tensor Processing Units for AI workloadsAmazon designed Trainium and Inferentia chips for cloud computingMicrosoft has been building AI chips for its cloud platformsThese custom chips can improve performance for specific AI tasks and reduce dependence on external suppliers. Designing chips also allows companies to optimise hardware specifically for their AI models.<h2>Challenges of designing AI chips</h2>Despite the potential advantages, building AI chips is a complex and expensive process. Industry estimates suggest developing advanced semiconductors can cost more than $500 million. It also requires teams of highly specialised engineers with expertise in chip architecture, manufacturing and system design.Beyond design, companies must also handle fabrication, testing and scaling production, which can take several years.This means Anthropic’s project, if pursued, would likely be a long-term effort rather than an immediate product launch.<h2>What this could mean for the AI industry</h2>If Anthropic eventually builds its own chips, the move could reshape relationships across the AI hardware ecosystem. Companies such as Nvidia dominate the AI GPU market, while Google provides powerful TPUs through its cloud platform. A shift towards custom chips could reduce dependence on these providers over time.However, experts note that partnerships with chip companies and cloud providers will remain essential, especially during the early stages of AI hardware development.For now, Anthropic’s exploration signals a broader trend: AI companies want more control over the infrastructure powering their models. As demand for computing power grows, the next phase of the AI race may not only be about smarter models but also about who controls the hardware that runs them.&nbsp;

Anthropic is reportedly exploring the development of custom AI chips to power its Claude models. Currently, the company relies on processors from Nvidia, Amazon and Google.

AI companies are now racing not only to build better models but also to secure the computing power needed to run them. According to reports, Anthropic is exploring the possibility of designing its own AI chips to power its Claude chatbot and AI systems. The move comes as demand for high-performance computing continues to rise across the global AI industry. Reports suggest the company is studying whether building its own chips could reduce reliance on hardware suppliers and ensure a steady supply of computing power. Why Anthropic is considering building its own chips AI models require massive computing resources. Training and running modern systems often needs thousands of specialised processors. At present, Anthropic relies on hardware from several partners, including chips from Nvidia, Google, and other infrastructure providers. These chips are used to train and run large language models such as Claude. However, the global AI boom has created strong demand for advanced processors. Access to these chips has become one of the main challenges for AI companies expanding their services. To address this, Anthropic is reportedly exploring whether designing its own chips could give it more control over cost, performance and availability. Industry analysts say the idea is still at an early stage. The company has not announced a final design or created a dedicated team for the project yet. Current infrastructure powering Claude AI Right now, Claude AI runs on a mix of specialised hardware across different platforms. Anthropic uses infrastructure such as: Amazon’s AI chips including Trainium and Inferentia Google’s Tensor Processing Units (TPUs) Nvidia’s GPUs used widely across the AI industry These processors help train models, run inference tasks and support cloud-based AI services. But as models become larger and more complex, companies increasingly want greater control over their computing infrastructure. Why many AI firms are building custom chips Anthropic would not be the first AI company to explore custom hardware. Several large technology firms have already invested heavily in developing their own processors. For example: Google developed its Tensor Processing Units for AI workloads Amazon designed Trainium and Inferentia chips for cloud computing Microsoft has been building AI chips for its cloud platforms These custom chips can improve performance for specific AI tasks and reduce dependence on external suppliers. Designing chips also allows companies to optimise hardware specifically for their AI models. Challenges of designing AI chips Despite the potential advantages, building AI chips is a complex and expensive process. Industry estimates suggest developing advanced semiconductors can cost more than $500 million. It also requires teams of highly specialised engineers with expertise in chip architecture, manufacturing and system design. Beyond design, companies must also handle fabrication, testing and scaling production, which can take several years. This means Anthropic’s project, if pursued, would likely be a long-term effort rather than an immediate product launch. What this could mean for the AI industry If Anthropic eventually builds its own chips, the move could reshape relationships across the AI hardware ecosystem. Companies such as Nvidia dominate the AI GPU market, while Google provides powerful TPUs through its cloud platform. A shift towards custom chips could reduce dependence on these providers over time. However, experts note that partnerships with chip companies and cloud providers will remain essential, especially during the early stages of AI hardware development. For now, Anthropic’s exploration signals a broader trend: AI companies want more control over the infrastructure powering their models. As demand for computing power grows, the next phase of the AI race may not only be about smarter models but also about who controls the hardware that runs them.

Anthropic is reportedly exploring the development of custom AI chips to power its Claude models. Currently, the company relies on processors from Nvidia, Amazon and Google.

AI infrastructure race: Anthropic may build its own AI chips to power Claude

A federal judge in the US has temporarily blocked the Pentagon's ‘supply chain risk’ designation against Anthropic, the AI firm, whose Claude model was reportedly used in the first days of the Iran war for purposes including target determination for US forces. In the 43-page ruling, US District Judge Rita Lin sided with Anthropic, also halting President Donald Trump’s directive to cut all federal contracts with the company.<h2>Anthropic vs Pentagon: What the court ruling said</h2>Terming the Trump administration's actions ‘classic First Amendment retaliation,’ Judge Lin wrote in the ruling: “These broad measures do not appear to be directed at the government’s stated national security interests.”“If the concern is the integrity of the operational chain of command, the Department of War could just stop using Claude… Instead, these measures appear designed to punish Anthropic,” the judge said.Also read: <a href="https://www.wionews.com/world/did-us-use-anthropic-ai-in-iran-s-strikes-despite-trump-s-ban-what-we-know-1772356637161">Did US use Anthropic AI in Iran’s strikes despite Trump’s ban? What we know</a><h2>Anthropic versus Pentagon: How did they reach here?</h2>The dispute centres around the Pentagon’s insistence on using Anthropic’s Claude model for “all lawful uses,” including some potential military applications that Anthropic vehemently resisted.These included the use of its AI in fully autonomous lethal weapons and mass surveillance of Americans. Anthropic argued, as did its CEO Dario Amodei, that this stance is a “protected viewpoint” of the company.Judge Lin supported Anthropic's argument, stating, “Nothing in the governing statute supports the Orwellian notion that an American company may be branded a potential adversary… for expressing disagreement with the government.”Lin also found Anthropic likely to succeed on claims that its due process rights were violated and that Defence Secretary Pete Hegseth failed to follow due process.&nbsp;<a href="https://www.wionews.com/videos/anthropic-vs-pentagon-anthropic-refuses-pentagon-request-for-ai-weapons-1774462511822/embed">https://www.wionews.com/videos/anthropic-vs-pentagon-anthropic-refuses-pentagon-request-for-ai-weapons-1774462511822/embed</a><h2>It is not over yet for Anthropic</h2>The ruling has been paused for one week so that the Trump administration can appeal to the US Court of Appeals. The court ruling blocks sweeping restrictions such as banning federal contracts and limiting partnerships for Anthropic. However, it does not prevent the Pentagon from discontinuing use of Claude or selecting alternative AI vendors.Many tech companies had supported Anthropic’s challenge to the Pentagon. A spokesperson for Anthropic said the firm is “grateful” and remains focused on ensuring “safe, reliable AI” for Americans.However, it may be difficult for the company to make a comeback to government contracts. The Department of Health and Human Services and the General Services Administration, for instance, had already removed Anthropic products following earlier directives.Also read: <a href="https://www.wionews.com/world/-no-dictator-style-praise-anthropic-ceo-says-us-govt-hostility-linked-to-trump-donations-slams-openai-s-altman-in-internal-memo-report-1772698855018">'No dictator-style praise': Anthropic CEO says US govt hostility linked to Trump donations; slams OpenAI's Altman in internal memo - Report</a><h2>Why the Anthropic ruling matters: A question of First Amendment, national security, and AI policy</h2>The case is being seen as a litmus test for issues at the crossroads of the First Amendment, national security, and AI policy. The Pentagon’s “supply chain risk” designation is typically reserved for foreign adversaries, making its application to a US-based firm unusual. As AI systems like Claude become increasingly powerful, debates have intensified about their use in military operations, surveillance, and public sector deployment. The ruling is a significant development in the ongoing clash between the artificial intelligence-led tech industry and the government over AI regulation, national security, and constitutional rights.

A US judge has blocked the Pentagon’s ‘supply chain risk’ designation for Anthropic, calling it a ‘First Amendment retaliation’. This is a significant development in the legal battle over AI use in the military, ethics, and national security. Here is why

A federal judge in the US has temporarily blocked the Pentagon's ‘supply chain risk’ designation against Anthropic, the AI firm, whose Claude model was reportedly used in the first days of the Iran war for purposes including target determination for US forces. In the 43-page ruling, US District Judge Rita Lin sided with Anthropic, also halting President Donald Trump’s directive to cut all federal contracts with the company. Anthropic vs Pentagon: What the court ruling said Terming the Trump administration's actions ‘classic First Amendment retaliation,’ Judge Lin wrote in the ruling: “These broad measures do not appear to be directed at the government’s stated national security interests.” “If the concern is the integrity of the operational chain of command, the Department of War could just stop using Claude… Instead, these measures appear designed to punish Anthropic,” the judge said. Also read: Did US use Anthropic AI in Iran’s strikes despite Trump’s ban? What we know Anthropic versus Pentagon: How did they reach here? The dispute centres around the Pentagon’s insistence on using Anthropic’s Claude model for “all lawful uses,” including some potential military applications that Anthropic vehemently resisted. These included the use of its AI in fully autonomous lethal weapons and mass surveillance of Americans. Anthropic argued, as did its CEO Dario Amodei, that this stance is a “protected viewpoint” of the company. Judge Lin supported Anthropic's argument, stating, “Nothing in the governing statute supports the Orwellian notion that an American company may be branded a potential adversary… for expressing disagreement with the government.” Lin also found Anthropic likely to succeed on claims that its due process rights were violated and that Defence Secretary Pete Hegseth failed to follow due process. https://www.wionews.com/videos/anthropic-vs-pentagon-anthropic-refuses-pentagon-request-for-ai-weapons-1774462511822/embed It is not over yet for Anthropic The ruling has been paused for one week so that the Trump administration can appeal to the US Court of Appeals. The court ruling blocks sweeping restrictions such as banning federal contracts and limiting partnerships for Anthropic. However, it does not prevent the Pentagon from discontinuing use of Claude or selecting alternative AI vendors. Many tech companies had supported Anthropic’s challenge to the Pentagon. A spokesperson for Anthropic said the firm is “grateful” and remains focused on ensuring “safe, reliable AI” for Americans. However, it may be difficult for the company to make a comeback to government contracts. The Department of Health and Human Services and the General Services Administration, for instance, had already removed Anthropic products following earlier directives. Also read: 'No dictator-style praise': Anthropic CEO says US govt hostility linked to Trump donations; slams OpenAI's Altman in internal memo - Report Why the Anthropic ruling matters: A question of First Amendment, national security, and AI policy The case is being seen as a litmus test for issues at the crossroads of the First Amendment, national security, and AI policy. The Pentagon’s “supply chain risk” designation is typically reserved for foreign adversaries, making its application to a US-based firm unusual. As AI systems like Claude become increasingly powerful, debates have intensified about their use in military operations, surveillance, and public sector deployment. The ruling is a significant development in the ongoing clash between the artificial intelligence-led tech industry and the government over AI regulation, national security, and constitutional rights.

A US judge has blocked the Pentagon’s ‘supply chain risk’ designation for Anthropic, calling it a ‘First Amendment retaliation’. This is a significant development in the legal battle over AI use in the military, ethics, and national security. Here is why

Anthropic vs Pentagon: Judge blocks designation of AI firm as ‘supply chain risk’. It's 1–0, for now

Nearly 150 former US federal and state judges on Tuesday (Mar 17) submitted an amicus brief backing Anthropic in its lawsuit against US President Donald Trump’s administration. This comes after the Defence Department designated the AI company a “supply chain risk” earlier this month over the use of its AI model Claude in classified systems. The firm has refused to allow the Trump administration to use its AI in autonomous weapons and mass surveillance of American citizens. Reportedly, the Pentagon has used Claude in the operation to capture Venezuelan leader Nicolas Maduro and in recent strikes on Iran that have ignited the war in West Asia.According to CNN, the former judges who have joined the supporters of Anthropic include those appointed by both Republicans and Democrats. In the document, they cautioned that such a move could create a dangerous precedent, expanding government influence over private companies.The amicus brief underscores concerns raised in the tech, legal and national security communities over the precedent the situation could set regarding government influence over private companies. For Anthropic, the stakes could be significant; the “supply chain risk” label could affect the company’s contracts with the vast ecosystem of private-sector firms that do business with the military.“More fundamentally, as a practical matter, no one is trying to force the Department to contract with Anthropic,” the judges wrote. “Instead, Anthropic is asking only that it not be punished on its way out the door.”The Pentagon “misinterpreted the statute and violated the necessary procedures” when it labelled Anthropic a “supply chain risk,” they added.Traditionally used for firms linked to foreign adversaries, the label has never before been applied to a US-based company in modern times. The judges stressed that Anthropic is not seeking government contracts, but rather protection from measures that could unfairly harm its operations. Trump has also ordered all federal agencies to stop using Claude.A hearing on Anthropic’s request for a preliminary injunction is expected next week, with the case raising key questions about ethics, national security, and the balance of power between government and the tech industry.

Nearly 150 former US judges back Anthropic in its legal fight against U.S. Department of Defense after being labeled a “supply chain risk,” warning of a dangerous precedent.

Nearly 150 former US federal and state judges on Tuesday (Mar 17) submitted an amicus brief backing Anthropic in its lawsuit against US President Donald Trump’s administration. This comes after the Defence Department designated the AI company a “supply chain risk” earlier this month over the use of its AI model Claude in classified systems. The firm has refused to allow the Trump administration to use its AI in autonomous weapons and mass surveillance of American citizens. Reportedly, the Pentagon has used Claude in the operation to capture Venezuelan leader Nicolas Maduro and in recent strikes on Iran that have ignited the war in West Asia. According to CNN, the former judges who have joined the supporters of Anthropic include those appointed by both Republicans and Democrats. In the document, they cautioned that such a move could create a dangerous precedent, expanding government influence over private companies. The amicus brief underscores concerns raised in the tech, legal and national security communities over the precedent the situation could set regarding government influence over private companies. For Anthropic, the stakes could be significant; the “supply chain risk” label could affect the company’s contracts with the vast ecosystem of private-sector firms that do business with the military. “More fundamentally, as a practical matter, no one is trying to force the Department to contract with Anthropic,” the judges wrote. “Instead, Anthropic is asking only that it not be punished on its way out the door.” The Pentagon “misinterpreted the statute and violated the necessary procedures” when it labelled Anthropic a “supply chain risk,” they added. Traditionally used for firms linked to foreign adversaries, the label has never before been applied to a US-based company in modern times. The judges stressed that Anthropic is not seeking government contracts, but rather protection from measures that could unfairly harm its operations. Trump has also ordered all federal agencies to stop using Claude. A hearing on Anthropic’s request for a preliminary injunction is expected next week, with the case raising key questions about ethics, national security, and the balance of power between government and the tech industry.

Nearly 150 former US judges back Anthropic in its legal fight against U.S. Department of Defense after being labeled a “supply chain risk,” warning of a dangerous precedent.

Nearly 150 former US judges rally behind Anthropic in clash with Pentagon over ‘supply chain risk’ label

Artificial intelligence has sharply accelerated the US military’s ability to identify and strike targets. Integrated into the Pentagon’s Project Maven, AI systems analyse vast intelligence streams from satellites, drones and surveillance feeds.

Iran war: How US is crippling Tehran’s arsenal with satellites, AI and cyberattacks