OpenAI internal model reportedly solves a unit-distance problem 48% of the time with enough compute
iruletheworldmo · x · 2026-07-21
- A quoted post discusses an unreleased OpenAI internal model that reportedly solves the unit distance problem 48% of the time when given enough compute, fully autonomously and in one shot, without Lean or any special harness.
- The author argues the graph likely reflects a substantial compute investment, because each plotted point represents 100 attempts and the inferred per-attempt cost may be in the $50K range at the high end.
- The broader implication is that a relatively modest amount of compute can already buy a nontrivial chance of getting a correct solution from the model, even before any external proof tooling is added.
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