FlexiLingo
Why AlphaFold Didn't Solve Protein Folding — Pushmeet Kohli, Google DeepMind & Sal Candido, Biohub
- 访谈
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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B2 · 中高级
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这一集适合你吗？
B2 · 中高级
能看懂电视新闻就会觉得轻松
- 73% 的单词在 B1 或更简单的水平。
- 每分钟 146 词：自然语速。
- 整集共有 127 个较难的单词（B2 及以上）。
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较难的单词（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.
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