Benchmarks Question Distilled AlphaGenome's Performance
Researcher Jeff Vierstra's benchmarks show that once distillation effects are removed, AlphaGenome ranks only mid-tier across cell types, with chromBPNet best at cell selectivity. He also questioned Google's approach of releasing 9 billion predictions as a distilled model.
2026-09-19 ~ 2026-09-19 · 3 related posts
- Episode 1: Kundaje reviews DeepMind's AVI score: competitive with SOTA but not a breakthrough, and far from "AI slop"(2026-09-18, 35 posts)
- Episode 2: Benchmarks Question Distilled AlphaGenome's Performance(2026-09-19, 3 posts)
- Episode 3: Researchers Defend Distilled Genomic Models, See Room for Fine-tuning(2026-09-19, 2 posts)
- Genomics model comparison: chromBPNet leads on cell selectivity, AlphaGenome middling without distillation — jeffvierstra · 2026-09-19
- AlphaGenome Variant Performance Looks 'Middle of the Pack' Once Distillation Is Stripped Out, Researcher Finds — jeffvierstra · 2026-09-19
- Researcher: AlphaGenome distillation barely differs — variant correlations identical across models — jeffvierstra · 2026-09-19