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Why AlphaFold Has Not Solved Protein Folding: A Conversation Between Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido
In a conversation on Latent Space, Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido pointed out that AlphaFold's breakthrough is only the beginning, and that protein folding is far from solved: static structure prediction cannot capture protein dynamics and disorder. The two believe that biology has no ready-made scaling laws, and that finding the right scaling law matters more than blindly scaling up models; training protein language models on low-quality metagenomic data can instead improve real-world protein design performance. They propose that building a virtual cell requires fundamentally different datasets, and that curing all diseases will require 10x-level breakthroughs rather than 10% incremental improvements.
In a conversation on Latent Space, Google DeepMind's Pushmeet Kohli and Biohub's Sal Candido pointed out that AlphaFold's breakthrough is only the beginning, and that protein folding is far from solved: static structure prediction cannot capture protein dynamics and disorder. The two believe that biology has no ready-made scaling laws, and that finding the right scaling law matters more than blindly scaling up models; training protein language models on low-quality metagenomic data can instead i
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Import AI 475: Swarm Scaling, Google DeepMind Watermarks Biological Data, and the AI Science Economy
Google DeepMind launches SynthID Bio, a watermarking method designed specifically for synthetic biology that marks AI-generated biological designs by adjusting amino acid sequences and the atomic coordinates of predicted 3D structures; in tests on three targets—VEGF-A, the SARS-CoV-2 spike protein RBD, and PD-L1—watermarked versions matched unwatermarked versions in hit rate, binding affinity, and sequence diversity. C5R Corp's SciUniverse benchmark uses 92 tasks to test AI's ability to operate automated laboratories; Claude Fable 5.1 (xhigh) leads with a 45.3% pass rate at $40.61 per task, GPT-5 Astra (xhigh) scores 32.5% at $52.37, and Claude Opus 5 (xhigh) scores 30.5% at $46.31. DeepMind also published a paper proposing an automated science economy that uses market mechanisms to match research ideas with scarce physical resources.
Google DeepMind launches SynthID Bio, a watermarking method designed specifically for synthetic biology that marks AI-generated biological designs by adjusting amino acid sequences and the atomic coordinates of predicted 3D structures; in tests on three targets—VEGF-A, the SARS-CoV-2 spike protein RBD, and PD-L1—watermarked versions matched unwatermarked versions in hit rate, binding affinity, and sequence diversity. C5R Corp's SciUniverse benchmark uses 92 tasks to test AI's ability to operate
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