A quick check shows that this list claims to fully solve 90 of the top 500 open problems in math (https://proofatlas.ai/open-problems/).
The highest ranked would be:
| 22 | Hilbert’s tenth problem over ℚ |
| 29 | Unique Games |
| 31 | Anderson-model extended states |
| 37 | Spacetime Penrose inequality |
| 48 | Nonexistence of Landau–Siegel zeros |
| 52 | Baum–Connes |
| 78 | Abundance |
| 80 | Hadwiger |
| 87 | Bose–Einstein condensation |
| 92 | Two-dimensional entanglement area law |
Was anyone in the math community aware of the inbound tsunami at the beginning of the year?
Result 003 (Quasi-Riemann Hypothesis), from my reading of mathematicians reactions, is a landmark discovery.
By category in the top 500:
+----------------------------------------------------+------+---------+-----------------+
| Category | Full | Partial | Matched / total |
+----------------------------------------------------+------+---------+-----------------+
| Geometry and topology | 25 | 7 | 32 / 74 |
| Algebra, representation and category theory | 17 | 2 | 19 / 53 |
| Analysis and PDE | 11 | 6 | 17 / 40 |
| Number theory and arithmetic geometry | 4 | 13 | 17 / 117 |
| Probability, ergodic theory and dynamics | 11 | 5 | 16 / 37 |
| Combinatorics and discrete geometry | 7 | 2 | 9 / 34 |
| Theoretical computer science | 4 | 4 | 8 / 57 |
| Mathematical physics | 5 | 1 | 6 / 19 |
| Applied and computational mathematics | 2 | 2 | 4 / 8 |
| Quantum information and computation | 2 | 1 | 3 / 17 |
| Cryptography, coding, information and optimization | 1 | 1 | 2 / 26 |
| Logic, foundations and set theory | 1 | 1 | 2 / 18 |
+----------------------------------------------------+------+---------+-----------------+
| Total | 90 | 45 | 135 / 500 (27%) |
+----------------------------------------------------+------+---------+-----------------+
> the top 500 open problems in math
At least put a disclaimer for the ad for this site, and maybe disclose how you came up with a total ordering for "top" open problems (vibes)?
> How problems are ranked. LLMs compare pairs of problems. A reliability-weighted model combines those judgments into the ranking, with calibration across model families. The model-family weights are OpenAI 1.00, Claude 1.00, GLM 0.95, and DeepSeek 0.90. These are modeling choices, not measured probabilities of correctness.