Claims
| Claim | Type | Assessment | Score | Review checks | References |
|---|---|---|---|---|---|
| Navier-Stokes was solved by a generalist model reasoning from first principles for 88 hours without fine-tuning, rather than by a physics-informed neural network. | OBSERVATIONAL | Supported | 0.8625 | 3 of 4 | 144 |
| OpenAI's announcement said it began training a new model strong at mathematics on 28 August 2026 and pointed it at Navier-Stokes on 1 September 2026, after which it solved the problem. | HISTORICAL | Supported | 0.9941 | 3 of 4 | 156 |
| The model that produced OpenAI's Navier-Stokes result was not GPT-6 Astra but a more advanced internal model. | OBSERVATIONAL | Supported | 0.9955 | 3 of 4 | 144 |
| OpenAI announced on 8 September 2026 that an internal AI model produced a proof, formalized in Lean, that three-dimensional Navier–Stokes solutions can develop a singularity in finite time. | OBSERVATIONAL | Supported | 0.9781 | 3 of 4 | 264 |