AlphaFold, every mention
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All-In 66
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every year every show All-In 66 Big Technology 55 Latent Space 51 the Y Combinator Startup Podcast 28 the a16z Podcast 22 No Priors 19 My First Million 6 
TBPN 6 20VC 6 
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Sourcery 4 
Catalyst 3 
the Knowledge Project 2 
Founders 1 
Cheeky Pint 1 
Capital Allocators 1 
Top Founders 1 
the MAD Podcast 1
Verbatim, from the transcripts: passages where AlphaFold comes up on All-In, Big Technology, Latent Space, the Y Combinator Startup Podcast, the a16z Podcast
How to Build Your Own Data Center & Why Every Startup Should Do It
- ▶ 1:01:57 Cliff Weitzman I would have never had an edge to do that in the past, and like, it gets even more beautiful because I can then take all the conclusions that I have about it and put it into alpha fold from isomorphic, and I can design not just the protein…
🔬 Why Transformers Hit a Wall the Moment Physics Shows Up — Anima Anandkumar, Caltech
- ▶ 44:47 unnamed speaker So from, you know, my own domain is probably closer to computational biology, but, you know, alpha fold is the obvious, uh, like really exciting development in the community.
Big Tech’s Insane Hidden AI Spending, Ranking Anthropic vs. OpenAI, AI For Travel Debate
- ▶ 36:08 Alex Kantrowitz I mean, alpha folds, I, I know it's been kind of talked about forever, but like some of this person, these personalized healthcare examples that you're getting, you know, maybe it's not cure.
🔬They Thought the Model Was Broken — Matt McPartlon & Neil Patil, Chai Discovery
- ▶ 2:15 Matt McPartlon So this is like alpha fold one days, um, and it was in the field during alpha fold two.
- ▶ 6:07 Matt McPartlon Outfold one was like, and outfold two was like this huge breakthrough, but then like outfold two multimer came out like a year later.
- ▶ 27:11 Neil Patil Like, I mean, CHI-II alpha-fold, very useful because you can, you know, you can at least intuit and reason about the structure and, and see what you're looking at,
- ▶ 30:29 Matt McPartlon What was done at the time is like, we kind of came up with a bunch of metrics and like alpha fold, it really is what enabled this.
- ▶ 1:04:31 Matt McPartlon In that case, we're following a fold two, three architecture.
- ▶ 1:11:37 unnamed speaker There was the, there was that apple paper where they distilled on the alpha fold, which it was actually really cool that you could distill on a very large data set and you could get, you know, good signal, but you know, it didn't… 2 times in the scene
Demis Steps Down, Apple’s Memory Problem, Microsoft’s Clever Trick
- ▶ 3:34 Alex Kantrowitz Things like AlphaFold.
Jeff Dean: The 1% Rule for Building in AI · Y Combinator
- ▶ 30:31 Jeff Dean Yeah, I mean, I think, like, if you look at, ah, my colleague's work on, say, alpha fold, that was a very specific model for, ah, protein folding, and it was highly successful.
- ▶ 31:20 Diana Hu So if some of you find a problem that's similar shape like alpha fold could be a good problem to work on.
🔬Causal Models Need Causal Data - Xaira’s X-Cell model (Bo Wang & Ci Chu)
- ▶ 9:40 Ci Chu That ushered in this revolution in the printing design and alpha fold and other folding models.
- ▶ 27:30 unnamed speaker That trained alpha-fold models, right?
- ▶ 1:12:56 Bo Wang Like Alphafold, for example.
- ▶ 1:20:33 Bo Wang Because of the availability of open source data sets in PDBs, therefore we have models such as AlphaFold, RosettaFold. 2 times in the scene
Can the AI Industry Regulate Itself? Stripe Wants PayPal, China Catches Up, NY Bans Datacenters
- ▶ 1:25:49 David Friedberg And they started with AlphaFold, and they used AlphaFold to find a protein that could bind to CML and activate an enzymatic or process that would break it down. 4 times in the scene
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
OpenAI President Greg Brockman: Our Plan To Merge Chat And Agents
- ▶ 40:25 Alex Kantrowitz Like the craziest story where this guy, I'm going to get some detail wrong, but a guy, um, biopsied his dog, which had cancer, um, ran the mutations across, across alpha fold, and then was able to design an mRNA vaccine that he injected…
🔬 "The Most Innovative Diffusion Research Is Happening in Drug Discovery, Not Image Generation"
- ▶ 24:24 Evan Feinberg 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…
Big Technology AI Summit (full): Greg Brockman, Mike Krieger, Aaron Levie & Friends of The Podcast
- ▶ 3:42:00 Alex Kantrowitz Like the craziest story where this guy, I'm going to get some detail wrong, but a guy biopsied his dog, which had cancer, ran the mutations across across AlphaFold and then was able to design an mRNA vaccine that he injected into the dog.
DeepSeek Raises at $50B | The Rise of Open Source vs OpenAI & Anthropic | OpenAI Builds Own Chip · 20VC with Harry Stebbings
- ▶ 1:19 Harry Stebbings Uh, namely, we have first Norm Shazir, who was character AI, and then we have John Jumper, Nobel Prize winner, uh, co-creator of AlphaFold, also leaving to join Anthropic.
🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
- ▶ 46:25 unnamed speaker Where she said that there is no alpha fold for materials. 3 times in the scene
$40B Fund, 1 Creator: Why Lightspeed Hired Zauey Talks · Sourcery with Molly O'Shea
- ▶ 31:06 Claire Zhao You know, when I think about like isomorphic labs or what, um, Demis and his team are doing with Olifold, like, 2 times in the scene
“Curing All Disease by next century is too conservative" - Mark Zuckerberg
🔬 The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub
- ▶ 25:27 RJ Haneke So, I mean, this is very much in contrast to something like AlphaFold, right?
- ▶ 30:33 unnamed speaker One of the common reasons, you know, for this is if you're in the alpha fold paradigm,
- ▶ 32:01 RJ Haneke Using MSA's multistimus alignments, which was one of the, or maybe the critical insight that allowed AlphaFold to work really well.
- ▶ 39:21 Alex Rives You know, you can think of ESM as, as being, you know, first generation, AlphaFold as being a first generation of those kinds of approaches.
SpaceX S-1, Anthropic Revenue Booms, OpenAI Cracks Erdős Problem | Diet TBPN
- ▶ 21:49 Tyler Cosgrove This is, like, maybe similar to the, you know, alpha fold moment or something, where now this is, like, a real,
Selling Check for $400M, Now Building a $1.5M ARR AI Startup
- ▶ 20:48 unnamed speaker However, we're seeing, you know, folks like DeepMind at Google put out things like AlphaFold, which has a, I mean, a very complex thing to sort of, you know, codify and decodify protein strands.
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
- ▶ 1:20 Garry Tan AlphaFold cracked protein structure prediction, a 50 year grand challenge in biology, and they gave it away for free to every scientist on Earth.
- ▶ 18:38 Demis Hassabis What I often say about that is, like, if we look at the things we've done, like AlphaGo, so obviously, very famously, you'll all know about the move-thirty-seven in game two, and for me, I was waiting for a moment like that to start the… 2 times in the scene
- ▶ 20:43 Demis Hassabis We're huge proponents of, in general, of open source and open science, and you mentioned AlphaFold at the beginning, you know, we put that all out there for free, and all of our science work, even still today, we publish in, you know, the…
- ▶ 25:48 Demis Hassabis It's, it's, it's trying to build out, uh, not just alpha fold.
- ▶ 29:24 Demis Hassabis And alpha fold is the prototypical example of what we want to do. 3 times in the scene
- ▶ 33:24 Garry Tan So, I mean, AlphaFold was like an example of a spike that you pursued and it worked, you know, what makes the scientific domain ripe for an AlphaFold style breakthrough? 2 times in the scene
- ▶ 35:14 Garry Tan I guess to get a little meta, I mean, we were talking about humans using these methods to create AlphaFold, but then there's a meta level, which is humans using AI to explore the space of possible hypotheses.
- ▶ 39:47 Demis Hassabis And it goes a little bit back to what you said earlier about alpha fold and general AI systems. 2 times in the scene
Driving Efficiency in Biotech Research with Andrey Doronichev of BIOPTIC | The Innovators & Investors Podcast
- ▶ 20:36 Andrey Doronichev Like many of you might have heard of AlphaFold by Google. 4 times in the scene
Demis Hassabis: Why AGI is Bigger than the Industrial Revolution & Where Are The Bottlenecks in AI · 20VC with Harry Stebbings
- ▶ 10:22 Demis Hassabis I mean, we're, we're big supporters of, of open science and, and open models, and we've done many, many things obviously from, from the original transformers to, to alpha fold, you know, these are all, uh, things we've sort of given out…
- ▶ 13:24 Demis Hassabis First of all, what we're doing is, you know, after we did the alpha fold project to do protein folding, um, then we spun out a company called Isomorphic Labs, which is doing extremely well, and that is supposed to, you know, the idea there…
The history and future of AI at Google, with Sundar Pichai
AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus
The Relentless Missionary Creating AGI: Demis Hassabis
- ▶ 48:56 David Senra And so one example of what the miracles that AI could offer is what they did with AlphaFold.
🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik
- ▶ 18:00 unnamed speaker And people have been working on that for a while, and this led to AlphaFold, like, kind of, without CASP, AlphaFold probably wouldn't exist. 4 times in the scene
- ▶ 24:26 Heather Kulik The challenge here is that, um, what AlphaFold has done really well is, is predict structures of globular proteins, primarily with 20, um, natural amino acids. 6 times in the scene
AI vs. Dog Cancer, Timothée Chalamet Under Fire, ‘Agents Over Bubbles' | Diet TBPN
AI Researcher Uses GPT to Save His Dog From Cancer
- ▶ 15:13 unnamed speaker Alpha fold, which was used to map the mutations onto specific protein structures, is now a standard part of drug discovery pipelines.
How Google DeepMind Operates & Experiments — With Lila Ibrahim and James Manyika
- ▶ 4:12 Lila Ibrahim Um, how do we do alpha fold and protein structure prediction to help us better understand diseases so we can come up with better therapeutics.
- ▶ 24:32 James Manyika I mean, alpha four is a good example, right?
- ▶ 40:58 Lila Ibrahim It goes back to what are some of the root node problems, uh, that we might, uh, if IEI can help us unlock, um, a basic understanding of the universe around us, it can open an entire field for ourselves and other researchers to build upon…
🔬Generating Molecules, Not Just Models
- ▶ 1:43 Gabriele Corso So what AlphaFold, so maybe first as a, kind of, introduction for the ones in the audience and not structural biologists. 2 times in the scene
- ▶ 4:11 Jeremy Wohlwend Our, our group at the time was, um, working along, like, small molecules already, and, um, I think AlphaFold is kind of what triggered, I think, this shift to, like, working on, on biologics. 2 times in the scene
- ▶ 17:38 unnamed speaker So, um, yeah, that like, and that there were many, many, many millions of computational hours spent trying to solve this problem before alpha fold.
- ▶ 20:04 Gabriele Corso One interesting, uh, explanation about how Half-Fold Three works that I think it's quite insightful, of course doesn't cover kind of the entirety of, of what Half-Fold does. 2 times in the scene
- ▶ 39:32 Gabriele Corso And now, uh, both, you know, we were in the field and, you know, building on top of models like AlphaFold, and so now we no longer had, you know, kind of the base starting point, uh, to build on top.
- ▶ 1:28:51 unnamed speaker Because, you know, as you were saying earlier, like, where AlphaFold-style models are really good at, let's say, monomeric, you know, proteins where you have, you know, coevolution data.
🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ▶ 0:58 Andrew White And when AlphaFold came out, and it's like, you can do it in Google CoLab, you know, or on a GPU or desktop, it was so mind-blowing.
- ▶ 43:07 RJ Haneke What about somewhere like the machine learning stuff like AlphaFold and, and. 3 times in the scene
Google DeepMind CEO Demis Hassabis: AI's Next Breakthroughs, AGI Timeline, Google's AI Glasses Bet
- ▶ 3:54 Demis Hassabis You know, AlphaFold, AlphaGo are examples of that, so some of our most important work, um, combines neural networks and deep learning with things like Monte Carlo Tree Search.
- ▶ 7:33 Demis Hassabis You know, not solving something in physics or some bit of chemistry, some problem, even like alpha folds, you know, protein folding, but actually coming up with a new theory of physics, something like, um, you know, like Einstein did with…
- ▶ 20:58 Demis Hassabis AI's gone, already proved that enough, I would say, and, and our work, I think, in things like science and our, and alpha fold and drug discovery, that it's here to stay.
- ▶ 28:57 Demis Hassabis Is because of things like AlphaGo and AlphaFold, especially AlphaFold, where, you know, we solved all the protein structures that are kind of known to science, and how have we done that?
- ▶ 29:52 Alex Kantrowitz There's this moment where there's a discussion in the lab about whether to release the results of alpha folds, and you kind of sit there adamantly, and you're like, why are we going through a process? 5 times in the scene
The Most Important Founder You've Never Heard Of
- ▶ 40:47 Shaan Puri And so I think this, I think this alpha-fold 2 times in the scene
- ▶ 56:36 Shaan Puri If you're an entrepreneur, like forget building a GPT wrapper, build an alpha fold wrapper.
No Priors Ep. 144 | The 2026 AI Forecast with Sarah & Elad
Josh Wolfe & Brett McGurk – Venture, Geopolitics, and the Next Frontier (EP.476)
- ▶ 44:49 Josh Wolfe He goes to Meta, builds a group, has fifty million a year of budget, builds a twelve-person team, is competing with AlphaFold DeepMind, publishes a paper on protein structure prediction.
World Models & General Intuition: Khosla's largest bet since LLMs & OpenAI
- ▶ 51:42 Pim de Witte Um, as I mentioned, also, the lab is named after the- Demis de Sabeza code from AlphaFold, which is, wouldn't it be amazing if we could mimic the intuition of these gamers, who are, by the way, only amateur biologists, um, on his path to,… 2 times in the scene
The 2045 Superintelligence Timeline: Epoch AI’s Data-Driven Forecast
- ▶ 42:24 Epoch AI Researcher Um, alpha, alpha fold. 2 times in the scene
No Priors Ep. 140 | With Benchling Co-Founder and CEO Sajith Wickramasekara
- ▶ 26:09 Sarah Guo Because I think a bunch of naysayers would be like, okay, yes, I've heard about AlphaFold and like,
- ▶ 28:32 Sajith Wickramasekara They're mostly open source, but also we've got, you know, we've got Chive, AlphaFold, things like that.
Priscilla Chan and Mark Zuckerberg: Frontier AI + Virtual Biology To Solve All Diseases
- ▶ 15:11 Priscilla Chan Similarly, if you look at AlphaFold, they, they, they built off publicly available data that was collected for 30 years prior, right?
- ▶ 23:59 Mark Zuckerberg So, I mean, you mentioned, um, the work that DeepMind did on AlphaFold, which is great.
Mark Zuckerberg & Priscilla Chan: How AI Will Cure All Disease
- ▶ 7:38 Mark Zuckerberg And when you look at, I mean, even something like AlphaFold, which is amazing, right?
Google Research Head Yossi Matias: AI For Cancer Research, Quantum's Progress, Researchers' Future
- ▶ 24:15 Yossi Matias I mean, think about AlphaFold, which, you know, uh, my colleagues, uh, were recognized with Nobel Prize, uh, Demis and John.
OpenAI’s Risky Browser Bet, Amazon’s Mass Automation Plan, Clippy’s Back
- ▶ 44:37 Alex Kantrowitz We are only understanding a tiny bit of what we need to understand using alpha fold as an example.
Is AI Slowing Down? Nathan Labenz Says We're Asking the Wrong Question
- ▶ 1:24:36 Nathan Labenz So you have agents using the alpha fold type, um, not just alpha fold, you know, there's a whole, whole wide, wide, 2 times in the scene
Cerebras CEO, Andrew Feldman on Why Raise $1BN and Delay the IPO & Why NVIDIA’s Worried About Growth · 20VC with Harry Stebbings
- ▶ 1:12:51 Andrew Feldman Uh, AlphaFold solved one of the hardest problems in, uh, in chemistry. 2 times in the scene
Taking Bold Bets: NIH and the Future of Biomedical Science
- ▶ 50:17 Dr. Jay Bhattacharya I just, you know, everyone knows about the protein folding and alpha fold.
Faster Science, Better Drugs
- ▶ 10:24 Patrick Hsu I would say the most kind of famous success of ML in biology is AlphaFold, right? 4 times in the scene
- ▶ 34:34 Jorge Conde Um, we've gotten quite good at designing, uh, biologics or proteins with a lot of help from things like alpha fold that helps understand how proteins fold.
- ▶ 38:16 Erik Torenberg Alpha fold solved a protein folding problem, but why didn't it solve drug discovery or more broadly, what would it take to get a drug? 2 times in the scene
- ▶ 45:36 Patrick Hsu And I would say similarly with a virtual cell model, it may not tell me literally why, just like a alpha fold doesn't tell me literally why did the protein fold this way and how, but it just told me the end state and it was reasonably…
- ▶ 54:12 Patrick Hsu So AlphaFold was, uh, in any ways came out of a
Inside Google DeepMind: AGI, Robotics, & World Models Explained - Demis Hassabis
- ▶ 0:58 unnamed speaker For the incredible breakthrough of AlphaFold, maybe you may have done this before, but I know everyone here would love to hear your recounting of how you, where you were when you won the Nobel Prize. 2 times in the scene
- ▶ 15:32 Demis Hassabis And I think we've been showing at DeepMind a lot of the way of that, obviously AlphaFold, uh, most famously, but actually we've, we've, um, applied
- ▶ 24:54 Demis Hassabis So, so I also run isomorphic, which is our spin out company, uh, to revolutionize drug discovery, building on our alpha fold breakthrough in, in protein folding. 2 times in the scene
- ▶ 26:53 Demis Hassabis So AlphaFold itself is a hybrid model where you have the learning component, this probabilistic component you're talking about, which is, you know, based on neural networks and transformers and things, and that's learning from the data you… 3 times in the scene
Rainmaker’s Secret AI Plan for Superintelligent Weather | Cloud Seeding · Sourcery with Molly O'Shea
Nobel Laureate John Jumper: AI is Revolutionizing Scientific Discovery · Y Combinator
- ▶ 3:54 John Jumper That, ultimately, we are building tools that will enable scientists to make discoveries, and what I think is really heartening about the work we've done and the part that really, I think, still just resonates with me at my core is there…
- ▶ 10:51 John Jumper We want to put something in the middle and then alpha fold, and we want to end up with something on the right.
- ▶ 15:27 John Jumper Alpha-fold is an equivariant system, and it's great. 2 times in the scene
- ▶ 20:09 John Jumper You know, this morning I got an alpha fold prediction, and now it's much better. 2 times in the scene
- ▶ 20:48 John Jumper In fact, there was a special issue of science on the nuclear pore complex a few months after the tool came out, and the special issue was all about this particular very large kind of several hundred protein system, and three out of the… 6 times in the scene
- ▶ 26:42 John Jumper And I think this is really where we see the foundational model aspect of alpha fold or other narrow systems.
DWARKESH PATEL on the Biggest Problem of AI
- ▶ 20:36 Dwarkesh Patel Um, within bio, for example, obviously we are AlphaFold and, um, I guess now AlphaGenome, but even, uh,
Dwarkesh Patel: AI Continuous Improvement, Intelligence Explosion, Memory, Frontier Lab Competition
- ▶ 33:52 Alex Kantrowitz Like an alpha and maybe using things like alpha evolve as an example that these things are actually making original discoveries.
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