AI Reportedly Spent Tens of Millions in Compute to Crack a Millennium Prize Problem, Sparking Scoop and Spending Debates
A story is making the rounds in the community: an AI system (widely believed to be from OpenAI) solved the Navier-Stokes problem—one of the seven Millennium Prize math problems—in about a week using enormous compute, with the compute cost estimated at $20–30 million at regular user API prices, far exceeding the Clay Mathematics Institute's $1 million prize, triggering widespread discussion.
Confirmed
- Multiple bloggers relayed similar run stats: mitsuhiko said the agent system sent 2.7 million messages and consumed roughly 130 billion output tokens (up to $18 million at various model prices); zainhas and Abhishek N cited figures of 105 hours, 4.9 million messages, and 300 billion output tokens.
- Key parameters from Hesamation's leak include: an internal model officially described as "significantly stronger than GPT-6 Astra," 10,000 concurrent agents running simultaneously, over 88 hours (another account says 105 hours to complete the proof and verification).
- Cost estimates vary widely: Abhishek Nair estimated $20–30 million at API prices; zephyrz9 estimated OpenAI's actual inference compute spend at around $0.5–1 million, equivalent to 1,500–3,000 GB300 GPUs running for about an hour; vykthur gave an estimate of $22.5 million for the week; EigenGender and others cited Ethan Mollick's view that once AI systems systematically produce scientific results, no matter how much compute exists today, it will likely never be enough.
- wordgrammer calculated that at OpenAI's compute burn rate, $1 million lasts only about 10.5 minutes—a stat used to counter Ed Zitron's criticism of OpenAI's financial model.
Unconfirmed
- All figures above come from community bloggers' relays and estimates; OpenAI has not published exact token consumption or costs, and the various accounts differ significantly (130 billion vs. 300 billion tokens; $0.5 million vs. $30 million).
- Whether the solution has actually been certified by the Clay Mathematics Institute and can claim the million-dollar prize is not mentioned.
Why it matters
- This is seen as a landmark case of "AI doing science with brute-force compute": Head-Needleworker849 offered two readings—either the system already has unnoticed deep superintelligence, or mathematics is fundamentally crackable by brute-force enumeration; zainhas marveled that previously unsolved math problems can now be tackled by throwing compute and money at them.
- The stark contrast between cost and prize has fueled debate over the money-burning model of frontier AI research (docmilanfar, EigenGender and others joked "classic AI economics"), while Abhishek N raised a sharp question: if AI companies decide to stop committing compute at this scale, will such scientific breakthroughs simply stall?
- vykthur cautioned that this may be the going "time-and-cost" rate for future scientific breakthroughs, and that research process and credit assignment issues urgently need solving.
2026-09-09 ~ 2026-09-09 · 20 related posts
- Episode 1: Terence Tao Proposes Keeping Some Open Math Problems Off-Limits to AI(2026-09-03, 2 posts)
- Episode 2: Rumors Claim Claude Solved Navier-Stokes; Terence Tao Responds(2026-09-05, 9 posts)
- Episode 3: Rumor: Anthropic Has Solved Navier-Stokes with Claude(2026-09-06, 2 posts)
- Episode 4: Terry Tao slams closed labs' theorem-proving as viral marketing(2026-09-06, 2 posts)
- Episode 5: Claude Did Not Solve Navier-Stokes, Clarifies Terence Tao(2026-09-06, 2 posts)
- Episode 6: AI proof of ζ(5)(3) irrationality sparks debate over what counts as research(2026-09-07, 20 posts)
- Episode 7: Mathematicians Accuse OpenAI's Astra Math Results of Research Misconduct(2026-09-07, 2 posts)
- Episode 8: Terence Tao's latest AI remarks spark buzz, Gary Marcus calls them 'fire'(2026-09-08, 2 posts)
- Episode 9: Rumors swirl that Claude may have solved the Navier-Stokes millennium problem(2026-09-08, 3 posts)
- Episode 10: OpenAI Claims 10,000 Agents Solved Navier-Stokes, Sparking Fierce Dispute(2026-09-08, 430 posts)
- Episode 11: Tao Hails AI-Assisted Fluid Equations Blowup Breakthrough, Formalized in Lean(2026-09-08, 8 posts)
- Episode 12: Terence Tao warns AI scoop culture could erode mathematics and open science(2026-09-08, 15 posts)
- Episode 13: OpenAI Accused of Copying Anthropic Employee's Remarks in Apparent Jab(2026-09-08, 2 posts)
- Episode 14: Gary Marcus Presses Bubeck Over Inflated GPT-5 Math Claims(2026-09-08, 2 posts)
- Episode 15: Chollet: AI Navier-Stokes Proof Only Counts With Novel Insight(2026-09-08, 2 posts)
- Episode 16: AI Reportedly Spent Tens of Millions in Compute to Crack a Millennium Prize Problem, Sparking Scoop and Spending Debates(2026-09-09, 20 posts)
- Episode 17: OpenAI's Navier-Stokes Proof Dispute: Altman and Bubeck Respond at Length(2026-09-09, 35 posts)
- Episode 18: Ex-DeepMind researcher casts doubt on disputed AI math claims(2026-09-09, 2 posts)
- Episode 19: AMS confirms milestone Navier-Stokes breakthrough, credits Spanish mathematicians(2026-09-09, 3 posts)
- Episode 20: AI math breakthroughs demoralize university math community(2026-09-09, 2 posts)
Primary sources
- Solving Navier-Stokes cost 130B output tokens — up to $18M depending on model pricing — mitsuhiko ·
- OpenAI burned millions in compute on $1M prize: 10,000 agents, 88 hours, 130B tokens — Hesamation ·
- 105 hours, 4.9M messages, 300B output tokens: AI proves previously unsolved math problem — zainhas ·
- [source] OpenAI burned millions in compute on $1M prize: 10,000 agents, 88 hours, 130B tokens — Hesamation · 2026-09-09
- Navier-Stokes proof burned 300B output tokens, $20-30M at consumer API prices — soumitrashukla9 · 2026-09-09
- [source] 105 hours, 4.9M messages, 300B output tokens: AI proves previously unsolved math problem — zainhas · 2026-09-09
- $1M sounds like a lot — it's just 10.5 minutes of OpenAI's compute spend — wordgrammer · 2026-09-09
- OpenAI Spent $15M in Tokens to Win a $1M Prize — EigenGender · 2026-09-09
- $22.5M of Compute in One Week: The New Price Tag for Math Breakthroughs — vykthur · 2026-09-09
- AI lab's Millennium problem run burned 300B output tokens, $20-30M at consumer prices — Paimaamu · 2026-09-09
- [source] Solving Navier-Stokes cost 130B output tokens — up to $18M depending on model pricing — mitsuhiko · 2026-09-09
- 300B output tokens, $20-30M in compute: Ethan Mollick says AI science will need far more compute — eldonredwards · 2026-09-09
- Blogger: OpenAI 'stealing' the Millennium problem was rational even if it looks bad — Linahuaa · 2026-09-09
- AI Solves a Millennium Prize Problem With ~$20M of Compute in About a Week — Head-Needleworker849 · 2026-09-09
- Estimate: OpenAI burned $500K-$1M in inference compute on a single solution — zephyr_z9 · 2026-09-09
- OpenAI's Millennium Prize problem grab sparks debate: rational investor play or reputation burn — XFreeze · 2026-09-09
- Team spends $15M in compute to win a $1M prize — a questionable ROI — docmilanfar · 2026-09-09
- Spending $15M in compute to chase a $1M prize: AI circles joke about the math — karmicoder · 2026-09-09
- OpenAI Accused of Spending Millions to Scoop Math Discoveries, Sparking Norms Debate — ctjlewis · 2026-09-09
- "No dibs": researcher pushes back on scoop etiquette outrage in high-stakes AI race — ctjlewis · 2026-09-09
- Dev cheers AI disrupting math academia: r/math bans AI threads, "scooping" claims are nonsense — ctjlewis · 2026-09-09
2 near-duplicate retellings: wordgrammer · ctjlewis