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OpenAI reports an internal multi-agent system solved the Navier-Stokes Millennium problem

OpenAI says roughly 10,000 coordinated agents powered by an internal model more capable than GPT-6 Astra produced an analytical solution to the Navier-Stokes existence and smoothness problem after about 88 hours and 130 billion output tokens. The company released the writeup and a Lean formalization, with GPT-6 Astra used for formalization and verification.

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CURRENT ASSESSMENT · REVISION 1
TOWARD DOOM88confidence 84/100

Why it moved the index

A frontier system completing a famous open mathematical problem with a released machine-checkable proof is strong evidence that coordinated agents can automate high-level scientific reasoning. Confidence is below the top range because independent mathematical review is not yet established and the central internal model is unnamed.

Assessment history

  1. R1
    Toward 88 · confidence 84

    Initial inclusion from a newly timestamped primary capability report with a released formal proof.

    08 Sept 2026

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  1. DoomBench assesses “OpenAI reports an internal multi-agent system solved the Navier-Stokes Millennium problem” as evidence moving toward doom, with magnitude 88 and confidence 84 out of 100 in the capability gains category.

  2. The DoomBench assessment of “OpenAI reports an internal multi-agent system solved the Navier-Stokes Millennium problem” is based on reporting from OpenAI and records the editorial rationale, source quality, attribution, and revision...

  3. DoomBench summarizes “OpenAI reports an internal multi-agent system solved the Navier-Stokes Millennium problem” as follows: OpenAI says roughly 10,000 coordinated agents powered by an internal model more capable than GPT-6 Astra...

    https://www.doombench.com/news/openai-reports-an-internal-multi-agent-system-solved-the-navier-stokes-millennium-problem-2026-09-08