Heather Kulik, every mention
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tap a year for its mentions
every year anyone Rafa Gomez-Bombarelli 1Brandon Anderson 1
Verbatim, from the transcripts: the passages where Heather Kulik comes up
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
- ▶ 39:35 Rafa Gomez-Bombarelli There are places you, you folks had a, my colleague Heather Kulik, um, uh, here in the podcast recently, uh, one of the areas you were seeing, the sorption.
- ▶ 1:37:43 unnamed speaker So this is sort of like Heather Kulik said, uh, there is no AlphaFold for materials. 2 times in the scene
🔬 The Limits of AI in Science - Why We Need Self-Driving Labs — Joseph Krause, Radical AI
- ▶ 46:21 unnamed speaker So that reminds me of April Kulik's, or sorry, Heather Kulik's episode.
🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ▶ 29:53 Brandon Anderson In fact, like when we were interviewing Heather Kulik, she, she had some fun stories about using LLMs, and, um, she would find that there would be raw data in a paper which wouldn't agree with the conclusions of the actual paper, and it's…
⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science
- ▶ 26:25 unnamed speaker I, I guess, uh, so we spoke recently with Heather Kulik at MIT, and one of the things she pointed out was that there's a element of serendipity to working in a lab that you lose.