Anthropic is calling for top artificial intelligence labs to weigh slowing the pace of development, suggesting that AI systems may soon be able to improve themselves without human intervention in ways that could pose significant societal risks. The ability to slow global AI development would “likely be a good thing,” the company said Thursday in a blog post that disclosed internal data documenting how quickly its most advanced models are improving. The post, written by the head of its internal research institute and head of policy, noted that model advances appear to be on a path toward “recursive self-improvement,” when AI systems can improve on their own without human intervention. The post proposes a global agreement on how to potentially slow development and a mechanism for verifying that competitors are respecting it. The post cautions that recursive self-improvement hasn’t yet happened and isn’t inevitable, “but could come sooner than most institutions are prepared for.” Anthropic recently concluded a fundraising round that valued the company at almost $1 trillion and filed confidential paperwork to begin the process of publicly listing its shares. Anthropic’s run rate is on track to reach $50 billion in annualized revenue by the end of this month, up from $9 billion at the end of 2025.