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Anthropic Urges Global Slowdown in Frontier Model Development, Warns AI Self-Improvement May Pose Major Societal Risks
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AI startup Anthropic, which is planning to go public in the US, published a blog post on Thursday (4th), calling on leading AI laboratories to consider slowing development. It said AI systems are advancing at an extremely rapid pace and may soon be capable of recursive self-improvement without human intervention, potentially posing major risks to society. Anthropic has repeatedly taken a proactive role in advocating frontier AI safety issues. This proposal for a globally coordinated pause marks a concrete step in extending its safety advocacy from technical design to industry coordination. The article was co-authored by Marina Favaro, Head of Research at Anthropic, and Jack Clark, Head of Policy. Anthropic stated that having the ability to slow global AI development is very likely a good thing. Internal data disclosed in the blog show that its most advanced models are improving at a striking pace. The post noted that model progress appears to be moving toward recursive self-improvement, meaning AI systems could enhance themselves without human intervention. It added that recursive self-improvement has not yet occurred and is not inevitable, but it may arrive sooner than most institutions are prepared for. Auto-translated by AI This article was automatically translated by AI, the original language version should be considered the authoritative version. AASTOCKS.com Limited does not guarantee its accuracy or completeness and accepts no liability for any damages or losses arising from the use of this translation. More Details
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