Genomics AI researcher: bigger models held back by data quality, small models still best for local signals
anshulkundaje · x · 2026-09-19
In a discussion about variant prioritization models, researcher anshulkundaje argues larger models aren't yet showing their power because there isn't enough of the right kind of data to push them further — which is why his team sticks with smaller models for local signals. He pushes back on calling this work "AI slop," saying these models are cutting-edge and their usefulness will show as others apply them to variant prioritization.
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