Nair: Academia rewards complex math over simple, generalizable solutions
Ashvin Nair · [State of RL/Reasoning] IMO/IOI Gold, OpenAI o3/GPT-5, and Cursor Composer — Ashvin Nair, Cursor · Dec 30, 2025 · at 10:52
Ashvin Nair, former OpenAI reasoning researcher and Cursor engineer, reflects on structural incentives in machine learning academic research.
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“One of the pitfalls of academia is that it doesn't really reward, like, simple ideas that work, and instead kind of tends to reward, like, kind of mathier ideas. Those mathier ideas also give you these, like, kind of implicit knobs to tune that allow you to, like, overfit. While, you know, the things that actually work tend to be kind of simple ones that have less knobs and just generalize to, like, many things.”
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