A service that checks whether AI-made scientific results are real and reproducible for labs, journals, and research funders.
Scientific Discovery Verification & Reproducibility Services for AI Claims
OpenAI’s recent claim to have solved the 90-year-old Navier–Stokes problem in 88 hours, met with academics crying foul, and the wider “Benchmarkpocalypse” debate show public doubt about AI claims. Together with high-profile money and recent security shocks, labs, journals and funders need independent, stress-tested, clearly explained checks on AI-made scientific results now.
Projected Score
as a side gig ☆☆☆☆☆ (0/5)
no money or audience ★☆☆☆☆ (1/5)
with both ★★★☆☆ (3/5)
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The news behind it
- Sep 9, 2026 CNBC: OpenAI claims to have solved the 90-year-old Navier-Stokes math problem in 88 hours
- Sep 9, 2026 Wired: OpenAI Just Claimed a Huge Math Discovery. Some Academics Are Crying Foul
- Sep 9, 2026 Fortune: Macau wants to be a ‘business city,’ not just a gaming hub—and it’s spending $16 billion to help it
- Sep 9, 2026 TechCrunch: A hacker stole $340M in a crypto heist, then returned most of it
- Aug 18, 2026 Hacker News (Algolia): The Benchmarkpocalypse
