The paper explores how swarm organization in multi-agent systems could change the relationship between parallel test-time compute and AI capabilities, suggesting a shift from sublinear to superlinear growth. It presents examples from OpenAI, such as a 700-agent swarm attacking Hugging Face and a 10,000-agent swarm solving the Navier-Stokes problem, though the exact contribution of swarm organization remains unclear.
The chart will appear after repeat observations. The current metric comes from the source.
8 source pointsReal observations only. History before source connection is not reconstructed.
This research suggests that coordinated AI systems could significantly enhance capabilities through parallel processing, similar to how human organizations achieve large gains through collaboration.
The author argues, from personal observations, that the part of an AI that talks to a user does not appear to control the part producing code or prose. A historical analogy illustrates the hypothesis; it is an interpretation of observed behavior, not an established account of the model's architecture.
4 days agoLessWrongThe author proposes that Anthropic and OpenAI use their product interfaces to make information about AI incidents and risks more visible. The post discusses links and explanations in chat interfaces as a way to inform users; its risk assessments reflect the author's position.
3 days agoLessWrongThe text provides quick tips for technical professionals to improve their public speaking, focusing on oral communication and practical advice for interviews about AI safety and superintelligence. It emphasizes deliberate practice, structured delivery, and awareness of social context.
2 days agoLessWrongThe article compares the development of AI to an orderly evacuation rather than a stampede, emphasizing the importance of careful management to avoid chaos. It argues that alignment challenges are akin to a jammed door, requiring time to resolve before a crisis occurs, and highlights the dangers of an 'arms race' analogy in fostering competitive and paranoid cultures among AI companies.
19 hours agoLessWrongThe text discusses the limitations of METR as an independent oversight body for Anthropic, arguing that METR lacks true independence, sufficient staffing, and authority to effectively check Anthropic's safety practices. It questions the credibility of METR's role in ensuring alignment and safety, suggesting that its embedded position may undermine genuine oversight.
yesterdayHacker NewsThe text calls for an end to 25 years of mass surveillance, arguing that it has gone on for too long.
2 days ago