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Daniel Litt
Researcher

Daniel Litt

Mathematician at University of Toronto

@littmathWebsite

Daniel Litt is a mathematician working in algebraic geometry, arithmetic geometry, and related subjects.

7
Mentions
6
Articles
5
Outlets
Feb 2026 — Oct 2026
Coverage
Positive
Sentiment

Associated Topics

Companies Covered

Coverage Patterns

How media typically covers Daniel Litt

Article Types

  • opinion1

Media Angles

  • technical1

Appears In

Sentiment Distribution

Based on 6 scored articles

Positive 50%Neutral 17%Mixed 17%Negative 17%

Appears Alongside

Greg BrockmanExecutive
2 shared articles
Sholto DouglasEngineer
2 shared articles
Noam BrownResearcher
2 shared articles

Articles

Most recent first

Cited In

Research or work cited

Mathematics in the Library of Babel
XopinionneutralFeb 24, 2026

AI systems have significant implications for mathematics and mathematical proof, drawing parallels to Borges' Library of Babel concept.

“Referenced in "Mathematics in the Library of Babel"”

AI ResearchMathematicsLLMs

Also Mentioned In

Referenced in coverage

OpenAI Says 372 Math Results Came Mostly From One Prompt
Scientific AmericanmixedOct 8, 2026

“Litt argued that AI companies should not keep math problem solutions secret and that releasing them would be good for mathematics.”

GPT-6-Astra Can Do Ambitious Things
The ZvicautiousSep 14, 2026

“User noting Astra is remarkably good at math.”

OpenAI's Unreleased Model Astra Solves Ten Major Open Mathematics Problems
The ZvicautiousAug 4, 2026

“Conceded a bet about AI producing Annals-quality number theory papers, admitting he was wrong about necessary capabilities.”

Claude Mythos reportedly solves OpenAI's landmark Erdős problem with a "cute, simple proof"
The DecoderpositiveMay 27, 2026

“Mathematician who called Mythos's Erdős problem solution a bit worse than OpenAI's but noted Mythos found OpenAI's solution too.”

The fall of the theorem economy
davidbessis.substack.comcautiousApr 22, 2026

“Mathematician who assessed First Proof problems and found 6-8 solved correctly by AI labs with substantial human validation required.”