Are We Optimizing the Training Process—or the Model’s Ability to Reason?
This story is from 2026-10-27. It is preserved in the archive; the latest stories are on the live feed.
In large language model reinforcement learning, better training metrics do not always translate into better reasoning performance. A lower training loss, higher reward, or continuously updated policy may look like progress. But when the model is evaluated in a real inference environment, the improv…
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- 2026-10-27 10:03 · DEV Community — AI
Are We Optimizing the Training Process—or the Model’s Ability to Reason?