a16z Shares Daniel Litt Quote on AI and Math
a16z posts quotes from University of Toronto mathematician Daniel Litt on AI's current limits in proofs and verification.
a16z posted several clips in which Daniel Litt states that the goal of mathematics is understanding rather than papers, and that models remain bottlenecked on verifying long proofs. Litt notes models can grind computations and retrieve ideas from many papers yet struggle to produce complex correct proofs without external checking. Partner Lisha Li adds that human reluctance to perform tedious proofs motivates more compressive mathematics, and the same preference may affect AI outputs. The posts reference an interview on the topic.
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a16z@a16zUniversity of Toronto mathematician Daniel Litt and a16z's Lisha Li on AI's impact on mathematics: The models are good at a narrower slice of math than the headlines suggest. They grind long computations, pull technical ideas from more papers than any human could read, andā¦
- likes: 104
- replies: 8
- bookmarks: 69
- reposts: 16
LI Lisha@lishali88AI is now solving serious open problems in math. I talked to @littmath about what the models have actually mastered so far, what's still hard, and what that gap tells us about the frontier of reasoning capabilities. Measuring progress in math capabilities gives us a way toā¦
- likes: 105
- replies: 0
- bookmarks: 87
- reposts: 10
A1 a16z@a16zUniversity of Toronto mathematician Daniel Litt on how AI has changed academic mathematics' reward incentives, and how easily he proved it: "The goal of mathematics is not to produce mathematics papers. It's to produce some kind of understanding." "Maybe some of thatā¦
- likes: 69
- replies: 12
- bookmarks: 44
- reposts: 15
A1 a16z@a16zUniversity of Toronto mathematician Daniel Litt says AI's math capabilities are bottlenecked on verification: "My sense is the reason [AI models are] not producing long, complicated proofs is that they cannot. The ability to check correctness is not yet there." "If you ask theā¦
- likes: 65
- replies: 19
- bookmarks: 14
- reposts: 6
LI Lisha@lishali88AI is now solving serious open problems in math. I talked to @littmath about what the models have actually mastered so far, what's still hard, and what that gap tells us about the frontier of reasoning capabilities. Measuring progress in math capabilities gives us a way toā¦
- likes: 105
- replies: 0
- bookmarks: 87
- reposts: 10
A1 a16z@a16zUniversity of Toronto mathematician Daniel Litt on how AI has changed academic mathematics' reward incentives, and how easily he proved it: "The goal of mathematics is not to produce mathematics papers. It's to produce some kind of understanding." "Maybe some of thatā¦
- likes: 69
- replies: 12
- bookmarks: 44
- reposts: 15
