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Long Thoughts, Short Bills: Distilling Mathematical Reasoning at Scale

Opening — Why this matters now Large language models can solve math problems. The more interesting question in 2025 is whether they can learn how to reason, at scale, across contexts that are long, messy, and computationally expensive. Most math datasets answer the first question. Nemotron-Math answers the second — and does so with a surprisingly pragmatic eye on cost. ...

December 18, 2025 · 4 min · Zelina
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The Problem with Problems: Why LLMs Still Don’t Know What’s Interesting

Opening — Why this matters now In an age when AI can outscore most humans in the International Mathematical Olympiad, a subtler question has emerged: can machines care about what they solve? The new study A Matter of Interest (Mishra et al., 2025) explores this psychological fault line—between mechanical brilliance and genuine curiosity. If future AI partners are to co‑invent mathematics, not just compute it, they must first learn what humans deem worth inventing. ...

November 12, 2025 · 4 min · Zelina