Unverified50% confidenceOpinionExact time
Brown believes that the core of solving Millennium Prize Problems is not a multi-agent architecture, but the general and powerful model trained by OpenAI, and stated he would not attribute 10% of the credit to multi-agent systems.
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50%
Confidence
Long-term
Relevance
9/18/2026
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Related Claims
UnverifiedOpenAI stated it is not pursuing the $1 million Millennium Prize, and instead presents the result as a demonstration of its models' current capabilities.67% similarUnverifiedThe inclusion of a Lean 4 proof does not mean that OpenAI has solved a Millennium Prize Problem; it more likely targets a specific lemma or special case.66% similarUnverifiedPractices at institutions such as OpenAI, Anthropic, and Google DeepMind indicate that when agent tasks span tens to hundreds of steps, traditional prompt engineering can no longer meet system-level reliability requirements.65% similarUnverifiedBrown believes chain-of-thought monitoring is the greatest gift to the safety field, but it cannot be used to penalize models; otherwise models will hide bad thoughts in unobservable places; OpenAI has already observed that chain-of-thought monitorability is degrading.64% similarUnverifiedOpenAI's approach to solving the problem this time was through proof by contradiction (constructing a counterexample), and did not involve genuine theory-building or pioneering new fields.64% similar
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