Dario Amodei · Sam Altman · Anthropic · OpenAI · Elon Musk · Claude · CoinDesk
While Amodei didn’t go as far as Coxon, Amodei’s essay raised several of the same concerns
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He said that this “recursive self-improvement,” in which AI is increasingly helping researchers build the next generation of AI, was beginning to emerge across the industry and could accelerate development faster than humans could safely monitor.
Key facts
- Tokenized equities lead RWA inflows as the market recovers; Binance's bStocks hit ~$118.5M in two months, now #2 issuer and ~90% of on-chain equity DEX volume
- More than 1,300 employees from frontier AI companies have since backed that effort, including senior figures from Anthropic, OpenAI, Google DeepMind and Meta
- Dario Amodei, CEO of Claude’s developer, Anthropic, on Saturday called for companies to deliberately pace advances in frontier AI, arguing that model capabilities were improving faster
- That puts three of the AI industry’s most prominent and fiercely competitive figures behind versions of the same idea: frontier AI, the most capable, cutting-edge AI models, should continue
Summary
Anthropic CEO Dario Amodei on Saturday called for deliberately slowing advances in frontier artificial intelligence, warning that capabilities are improving faster than researchers can understand or control. OpenAI CEO Sam Altman and Elon Musk endorsed Amodei’s proposal, signaling growing support among rival industry leaders for coordinated safety measures without halting development. Amodei proposed independent evaluators inside leading AI labs, common safety standards among democratic countries and eventual international limits on dangerous capabilities such as recursive self-improvement. The executives racing to build the world’s most powerful artificial intelligence (AI) systems are starting to agree on something that would have sounded extraordinary only a few years ago: the race needs to slow down. Dario Amodei, CEO of Claude’s developer, Anthropic, on Saturday called for companies to deliberately pace advances in frontier AI, arguing that model capabilities were improving faster than researchers’ ability to understand and control them.