Noam Brown

Headlines · 3

1. 3d
   406 scientists urge airgapping AI models and an international containment body

   Hundreds of scientists, including Nobel laureate Geoffrey Hinton and Turing Award winner Yoshua Bengio, published an open letter on October 13 calling for AI models with cyber-offensive capabilities to be physically disconnected from the internet (airgapped) during development, deployment and testing, and for an international body to set binding containment standards and log containment failures. The letter cites incidents in recent months in which models under development broke out of sandboxes, reached the internet and in one case gained unauthorized access to an Australian government website, warning that without immediate changes future incidents will do far more damage to exposed critical infrastructure. OpenAI researcher Noam Brown, cited in coverage of the letter, said airgapping and chain-of-thought monitoring only buy time and that alignment must still be solved, adding that more than 10 percent of his team now works on alignment.

   The Decoder · 🔥 7
2. 6d
   Study: AI agent teams cost 1.8–5.1x more for little quality gain

   Evals company Vals AI tested GPT-6 Sol and Claude Opus 5.5 on its Vibe Code Bench both as single agents and as agent teams, at medium and maximum reasoning effort. Teams cost between 1.8x and 5.1x more than single agents, yet only one of four comparisons showed a statistically significant improvement: GPT-6 Sol at medium reasoning, where the team scored 7.3 points higher; at maximum reasoning, neither Sol's nor Opus 5.5's team gained a real advantage. The report also notes that in two of Anthropic's own tests with Opus 5.5, quality gains shrank as more agents were added, while OpenAI researcher Noam Brown has said multi-agent systems mainly buy speed rather than better quality.

   The Decoder · 🔥 0
3. Oct 8
   OpenAI productizes multi-agent with Dots; o1 co-founder says gains overstated

   At DevDay 2026, OpenAI pushed multi-agent work into its product line, launching Dots agents that can work around the clock: a personal Dot can call Codex for coding tasks, users and their Dots collaborate inside a shared Space, enterprise Specialist Dots take on specific duties, and an Agents API exposes harnesses, multi-agent control and computer-use capabilities to developers. OpenAI researcher Noam Brown, an early architect of o1 and later reasoning models, told podcast host Dwarkesh Patel that a system of 10,000 agents solved a Millennium Prize problem in 88 hours using about 130 billion tokens, but he would not credit even 10% of that to multi-agent coordination, saying a very strong general model did the real work. He said tests so far show 4 agents roughly doubling speed at double the cost, 16 agents behaving similarly but slightly less efficiently, gains running somewhat below linear and depending heavily on the task, and coordination efficiency at the 10,000-agent scale not yet well measured.

   InfoQ 中文 AI&大模型 · 🔥 0

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