Stanford prof: Google overstated AlphaGenome claims, but calling it 'AI slop' is nonsense
anshulkundaje · x · 2026-09-18
Stanford professor Anshul Kundaje weighs in on Google's AlphaGenome marketing and its evaluation:
- Marketing claims (e.g. Sundar Pichai's "we mapped effects of 9 billion variants") are overstated: the model predicted effects of 9 billion SNVs across a few thousand cell contexts, providing an aggregate variant prioritization score.
- But he strongly rejects calling such variant effect scores—or outputs of sequence-to-omics models generally—"AI slop".
- He judges the paper's evaluation more than sufficient: a useful variant prioritization score and a useful lookup resource.
More from Models
- AWS's open-source Strands Harness claims 45% cheaper than Claude Code, reigniting harness debate — blaizedsouza · 2026-11-02
- Yacine calls Terra High 'kind of an insane model' — yacineMTB · 2026-11-02
- Running DeepSeek V4.1 on a single H200 at $5.30/hr — daluoseo · 2026-11-02
- Leaked Fable 5.5 checkpoint video called 'pure code' — 'will change the game' — kimmonismus · 2026-11-02
- Claude Opus 5.5 quality complaints spark debate on why continual learning is so hard — JeremyNguyenPhD · 2026-11-02
- Why is AI sexist? Reddit debate on models overlooking Iceland's women's strike — Mathemodel · 2026-11-02