ESM researcher: covariation in data made LLMs and AlphaFold possible — other modalities need it too

sokrypton · x · 2026-11-04

Protein language model researcher sokrypton argues that the success of LLMs on text/code and of PLMs/AlphaFold on proteins fundamentally rests on covariation patterns extracted from data. To advance other modalities, he says, we must collect equivalent data — under natural or artificial selection — from which covariation can be extracted.

He adds that the key challenge is finding fast, cheap ways to gather detailed information from the huge biodiversity of life before it goes extinct. The takeaway: the bottleneck for generalizing to new modalities may lie in data collection rather than architecture.

Related event: ESMFold author proposes tree-of-life ligand survey to replicate AlphaFold success for small molecules(8 posts)→

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