The Guardian AI·
Unrestrained development of unsafe AI systems is leading to intolerable risks Stuart Russell is a computer scientist known for his contributions to AI and a new Guardian US columnist The AI company Anthropic has been making major headlines recently. Its trillion-dollar IPO plan and its blood feud with secretary of defense Pete Hegseth have attracted much attention, but two other events may be even more consequential. In early June, the company posted an article describing early signs of recursive self-improvement (RSI), a process in which an AI system devises ways to increase its own intelligence, leading to a greater ability to improve itself, and so on. Stuart Russell is a distinguished professor of computer science at University of California, Berkeley, the president of the International Association for Safe and Ethical Artificial Intelligence and a Guardian US columnist Continue reading...
Read full articleThe EU's negotiations with Anthropic highlight the growing importance of AI diplomacy in balancing security needs and international collaboration. The post EU Commission meets with Anthropic in San Francisco as AI access negotiations heat up appeared first on Crypto Briefing.
Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one-million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one-million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding
Z.ai has released GLM-5.2, an MIT-licensed open-source AI model designed for long-running software engineering tasks, as the Chinese company seeks to challenge proprietary coding models on cost and performance. The company said GLM-5.2 ranked just behind Anthropic’s Claude Opus 4.8 on FrontierSWE, a long-horizon coding benchmark, trailing it by 1%. Z.ai said the model also edged out OpenAI’s GPT-5.5 by 1%. Z.ai said GLM-5.2 supports a one million-token context window with up to 131,072 output tokens, positioning it for agentic coding workflows that require reasoning across large codebases. The company is also making an efficiency argument. It said GLM-5.2 uses a technique called IndexShare, which reduces per-token compute by 2.9 times at a one million-token context length. It also said changes to the model’s multi-token prediction layer increased the acceptance length for speculative decoding by up to 20%. The changes are aimed at a practical problem for developers: long-context coding
The emergence of AI models like Mythos could destabilize global cybersecurity, prompting urgent reevaluation of digital defense strategies. The post Anthropic’s Mythos model raises global security concerns as FT sounds the alarm appeared first on Crypto Briefing.
Anthropic's engagement with US officials highlights the critical need for robust AI safety measures to prevent misuse and ensure national security. The post Anthropic sends researcher to address US government AI safety concerns appeared first on Crypto Briefing.
The third and final day of the G7 summit focuses on AI and social media, with CEOs from OpenAI, Anthropic and European rival Mistral meeting leaders for lunch on Wednesday. French President Emmanuel Macron has invited his US counterpart Donald Trump to a private dinner at the lavish Palace of Versailles after the three-day summit wraps up.
The Anthropic shutdown highlights the tension between national security and global competitiveness, spurring interest in decentralized AI solutions. The post White House’s Anthropic move reignites AI debate in Congress appeared first on Crypto Briefing.
Anthropic's popularity with business users is growing so well that the latest beef with the government might actually boost it, data from Ramp suggests.
