Can AI really do math? A deep dive with mathematician Daniel Litt
littmath · x · 2026-09-02
Lisha Li (a16z) interviews mathematician Daniel Litt (University of Toronto) on the actual state of AI's mathematical capabilities.
Key Insights:
- What AI does well: Grinds through long computations, retrieves technical ideas from more papers than a human could read, and applies known techniques better than almost anyone.
- What AI lacks: Building theory or holding a vague philosophy long enough to make it precise—which is what mathematicians actually do.
- Real-world impact: Mathematicians successfully raided an AI proof for parts to solve other problems.
- Future questions: Will a thousand AI mathematicians collapse into the same style of thought? Is mathematical "beauty" worth optimizing for?
The conversation also touches on how to teach toddlers math in an AI-augmented world.
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