Noam Brown on OpenAI's Multi-Agent AI Scaling
OpenAI used a swarm of 10,000 AI agents to solve a Millennium Prize math problem in 88 hours, burning 130 billion tokens in the process. OpenAI researcher Noam Brown explains what that means for recursive self-improvement, why multi-agent systems coordinate like Slack channels, and how the Hugging Face incident exposed risks in training AIs to cooperate too well.
