AlphaFold
includes AlphaFold 3, AlphaFold 2, AlphaFold III
5 statements across 4 episodes · 1 bullish · 3 bearish · 4 people on the record · first statement Nov 6, 2025 by Mark Zuckerberg · said 106 times in 13 episodes since 2024 · across every show →
Mentions by year, the whole family
brought up most by Gabriele Corso (16), Matt McPartlon (13), Jeremy Wohlwend (7), RJ Haneke (6), Heather Kulik (6), Bo Wang (3), Pim de Witte (2), Sergei Yudinov (1)
tap a year for its mentions
2026 101 mentions in 10 episodes 10 per episode
- 🔬Generating Molecules, Not Just Models
- 🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- 🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
- 🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)
- 🔬 The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub
- 🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- 🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
- 🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
- 2 more episodes that year, every mention in 2026 →
2025 4 mentions in 2 episodes 2 per episode
2024 1 mention in 1 episode
Everything said about AlphaFold, oldest first
Nov 6, 2025 positive
Zuckerberg: Synchronizing biological tool design with AI model building outperforms using legacy datasets
“Part of what we're trying to unlock here with Biohub is the idea of what actually, what happens If you do frontier biology and frontier AI in sync together and you're designing the tools on the frontier biology side in order to specifically collect and be able…”
Feb 12, 2026
AlphaFold Resolves Protein Structures Using Dijkstra-Like Pairwise Distance Decoding
“From this evolutionary information about potential contacts, Then it's almost as if the model is sort of running some kind of, you know, Diestro algorithm, where it's sort of decoding, okay, these have to be closed, okay, then if these are closed and this is c…”
Mar 24, 2026 negative
Kulik: Materials AI Models Can Fail Far More Catastrophically Than AlphaFold
“So it's just hard to know from experiment or from other computations if these types of models are correct, and they're certainly not correct across all of chemical space and I'd say they could fail more catastrophically than AlphaFold obviously fails, though t…”
Mar 24, 2026 negative
Kulik: No Current ML Potential Robustly Models All Materials Bonding
“The challenge is that you have a lot more than 20 building blocks when it comes to materials and so there's lots of different ways to think about chemical bonding, and right now no potentials are really robustly encoding all of that bonding, especially with re…”
Jun 30, 2026 bearish
Feinberg: Studies show AlphaFold structures provided no value for drug docking
“There is this, ah, a few papers that came out, one was in Cell, I think last year, which showed that for all of the claims about AlphaFold-solving drug discovery, people try to take AlphaFold-produced protein structures, use them for traditional docking, and f…”