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Latent.Space· @latentspacepod · X·· 2 小时前AI 评分39
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Google DeepMind 的 Pushmeet 与 Biohub 的 Sal Candido 在 Latent Space 播客中解释,AlphaFold 的突破并未解决蛋白质动态问题,仅靠扩展 AI 算力和数据不足以理解生物学。他们讨论蛋白质语言模型蕴含结构、功能与演化的隐性知识,以及更好的生物数据和虚拟细胞如何推动下一波突破。

正文

Why AlphaFold Didn't Solve Protein Folding: The Bitter Lesson of Biology, Virtual Cells, & Curing All Disease https://www.latent.space/p/biohub-deepmind

@GoogleDeepMind’s @pushmeet and @biohub’s @salcandido explain why AlphaFold's breakthrough hasn't solved protein dynamics, why scaling AI compute and data alone isn't enough to understand biology, how protein language models contain hidden knowledge about structure, function, and evolution, why future frontier models may understand other AI systems better than humans, how better biological data and virtual cells could unlock the next wave of breakthroughs, and what it will take to achieve 10–100x faster drug discovery on the path to curing all disease.

来源:Latent.Space · x.com