

Daniel Litt: The Mathematician's Guide to AI
a16z’s Lisha Li sits down with Daniel Litt, Assistant Professor of Mathematics at the University of Toronto, to unpack AI's rapid progress in mathematics, what today's frontier models can actually do, and what they're still missing about the way mathematicians think. Daniel explains why some recent AI-generated…
We score an episode from what we can actually measure — its reach and engagement, what listeners say about it, and what it covers. We don't have those signals for this one yet, so it doesn't get a number.
Buzzmeter says it's buzzing across platforms — the Hive Vote says whether the people who actually listened liked it.
Rate this episode
Add your vote to the Hive — listeners rate every episode after they finish.
- No reviews yet — be the first.
Similar episodes from other shows
More like The a16z Show →
Move over, vibe-coding. Vibe-proving is here for math

Did AI Just “Solve” Math? (Let’s Take a Closer Look) | AI Reality Check

The path to mathematical superintelligence | Tudor Achim

The mathematics of AI uncertainty
One great episode in your inbox, daily — free.
One email a day, unsubscribe anytime. No spam, ever.
