FlexiLingo
Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
- Interview
From the Bitter Lesson of AI scaling to the unsolved mysteries of protein folding, Google DeepMind’s Pushmeet Kohli and Biohub’s Sal Candido are rethinking what it takes to build AI that truly understands biology. In this special panel moderated by Brandon Anderson, they explore why AlphaFold’s breakthrough was only the beginning, why scaling compute and data alone won’t solve biology, and how the next generation of AI models could transform our understanding of proteins, cells, and human disease. We go deep on the future of AI-driven biology: finding scaling laws in biological data, the trad...
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Is this episode right for you?
B2 · Upper-intermediate
Comfortable if you already follow TV news
- 73% of the words are B1 or easier.
- 146 words a minute: a natural pace.
- 127 harder words (B2 and up) in the whole episode.
Transcript
The opening of the episode. The whole transcript is in the player.
harder words (B2+)
So, great to be here. What an exciting morning. So many cool announcements. I think the future of bioscience is being announced right here.
So this is the modeling session. We are all modelers, so of course it's natural for us to talk about data. So to start out with, I think one of the things that I like to think about when it comes to data is like, how do you scale data properly?
And this has brought me to this question about the bitter lesson, but recast in the frame of data. So the bitter lesson for those of you who are not AI people is the statement that methods that scale win eventually.
That was the opening. The rest of the episode (31 min) is in the player: every word clickable, with translation, saved words and flashcards.
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