Heather Kulik
7 statements across 1 episodes · 2 bullish · 3 bearish · 1 people on the record · first statement Mar 24, 2026 by Heather Kulik · said 6 times in 4 episodes since 2026 · across every show →
On the record as a speaker too: Heather Kulik's record, appearances and statements → this page counts the times other people say the name.
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brought up most by Rafa Gomez-Bombarelli (1), Brandon Anderson (1)
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2026 6 mentions in 4 episodes 2 per episode
- 🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
- 🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
- 🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science
- every mention in 2026, scene by scene →
Everything said about Heather Kulik, oldest first
Mar 24, 2026 bearish
Kulik: LLMs consistently fail to generate a 22-atom ligand
“The thing I constantly do every time an LLM is updated is I just ask it, please design me a ligand that has, ah, 22 atoms. So the first time I've done that, there are many ligands out there that have 22 atoms, and then I say, I want it to bind to the metal wit…”
Mar 24, 2026 positive
Kulik: Polymer Toughness Relies on Previously Unobserved Quantum Mechanical Phenomenon
“But what we discovered was that there was a fully quantum mechanical phenomenon. There was really no way for us to predict this, you know, based on anything else, where the electrons just move around in a different way so that at this moment where the molecule…”
Mar 24, 2026
Kulik: Academic Labs Must Avoid Problems Solvable by Brute-Force Compute
“For sure, Microsoft, Meta, those ones are kind of like the companies that have basically infinite resources, and as an academic, I don't have infinite resources, you know, but we have an interest in problems that, you know, haven't crossed the radar of those 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 neutral
Kulik: Chemistry ML Datasets Only Cover Standard Organic Chemistry
“We have really good data sets out there for really boring chemistry. So we have, you know, probably even if you're not a chemist, you're familiar with organic molecule data sets, and Organic molecules binding to proteins. Those are the common data sets out the…”
Mar 24, 2026 positive
Kulik: AI Discovered Polymer Design That Made Plastic Four Times Tougher
“So we were able to screen with artificial intelligence a set of 1010 of thousands of materials where each individual experiment, if it were done in the lab, would have taken months to years. And through AI, we uncovered this sort of unexpected chemical phenome…”
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…”