Researchers Defend Distilled Genomic Models, See Room for Fine-tuning
Responding to criticism of distilled AlphaGenome-style models, Stanford's Anshul Kundaje said pre-distilled base models remain high quality and support fast fine-tuning, while acknowledging cell-type specificity remains a challenge.
2026-09-19 ~ 2026-09-19 · 2 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 AI researcher: distillation gains are marginal, better losses and data sampling still ahead — anshulkundaje · 2026-09-19
- Genomics AI debate: researcher argues pre-distilled base models leave big fine-tuning headroom — anshulkundaje · 2026-09-19