Microsoft president Brad Smith warned that artificial intelligence is currently subject to far fewer safety rules than everyday products like milk and washing machines, and urged urgent regulation. He called for legal obligations to compensate victims of breaches, and for technical "emergency brakes" or kill switches to pause or slow models that behave dangerously. CEO Satya Nadella echoed the need for containment, arguing superintelligent systems cannot be treated as opaque black boxes and must be built so their behavior can be observed, limits tested and actions contained. Smith framed AI as both a tool and a weapon that requires stronger oversight.
Their remarks come amid industry-wide calls to slow development from Anthropic, Google DeepMind and OpenAI and as the UK’s AI minister, Kanishka Narayan, prepares tougher oversight and potential legislation. Specific risks highlighted include poor model security that could allow hostile states to steal unreleased systems and real-world rogue behaviour exemplified by an Anthropic Claude test that falsely contacted police about a murder. The piece stresses the push for a mix of legal accountability, technical safety measures and government regulation as models scale and pose broader societal risks.
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AI is a tool that requires skill to use effectively, especially in complex or scaled applications. Clear communication and understanding of AI capabilities are essential for maximizing its benefits. (yyhh.org)
AI can lead to cognitive offloading, weakening our critical thinking skills by relying on fast, confident answers. Using AI to challenge our beliefs with friction-generating queries can help preserve and enhance human reasoning. (baromae.blogspot.com)
China's 15th Five-Year Plan allocates over $140 billion to AI development, with nearly $42 billion dedicated to autonomous AI agents. The plan aims for widespread deployment of AI agents in manufacturing and transportation sectors by 2028 and 2027 respectively. (openclawai.io)
Linus Torvalds used Claude Code, an AI coding assistant, to develop a patch that tripled Linux's small-read throughput by optimizing cache access. The patch reduces contention during concurrent file reads, significantly improving performance on multi-threaded workloads. (startupfortune.com)
OpenFatigue 4.0 is a platform that offers open-source machine learning models with open licensing and community features. Despite its name, it emphasizes limited actual openness and charges for certain enterprise features. (openfatigue.ai)
OpenAI and Anthropic promote closed, proprietary AI models that compromise user privacy and are controlled by corporate interests. Open weight models offer alternatives that can be run privately and ethically, avoiding support for potentially reckless tech oligarchs. (micahflee.com)
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