Cell Paper: Brute-Force Scaling Won't Solve Biological Modeling
anshulkundaje · x · 2026-07-30
A new Perspective article in Cell argues that simply throwing bigger datasets, larger models, and more GPUs at the problem will not automatically produce a universal model of life.
The missing piece for machine learning in biology is process-aligned, causal world models that connect molecules, cells, tissues, space, and time. The paper emphasizes that biology is not just about sequence; it involves history, dynamics, and emergence.
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