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AI's "Bitter Lesson" Applies to Protein Structure Prediction, Researcher Says

Alex Rives, a researcher at Chan Zuckerberg Biohub, discussed Evolutionary Structure Modeling (ESM) on the Latent Space Podcast. He highlighted how the "bitter lesson" in AI, which emphasizes scaling up models and data, is also applicable to protein structure prediction. Rives explained that large-scale models trained on vast biological datasets can achieve significant breakthroughs in understanding protein folding and function. AI

IMPACT Suggests that scaling laws and large datasets, proven effective in general AI, can unlock new capabilities in biological research like protein structure prediction.

RANK_REASON The item is a podcast discussion about applying AI principles to a scientific domain, rather than a primary research release or product launch.

Read on Latent Space Podcast →

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AI's "Bitter Lesson" Applies to Protein Structure Prediction, Researcher Says

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  1. Latent Space Podcast TIER_1 English(EN) · Latent.Space ·

    🔬 ESM: The Bitter Lesson is Coming for Proteins - Alex Rives, BioHub

    <p>Editor’s note: In our first BioHub pod with Priscilla and Mark they discussed their acquisition of EvoScale, led by Alex Rives, who is now Head of Science at BioHub. With ESM-1 they trained language models on millions of protein sequences drawn from ac...</p>