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
- 'You Can Feel the Gradient Slopes': Dev Contrasts Benchmaxxed RL Models vs General Ones — theteknosaur · 2026-11-02
- LightOnOCR-3 Launches: Tops FRBench, Adds Layout Structure and Chart Extraction — IgorCarron · 2026-11-02
- NVIDIA's Kumo Is a Family of Four Tabular Foundation Models, Not Just One — pandeyparul · 2026-11-02
- SemiAnalysis: safety classifiers are underrated — Meta's Muse tops cyber benchmark at 35.2% — ThomasScialom · 2026-11-02
- DeepSeek V4.1 Flash 1017 wins over a longtime closed-source-only user: fast, cheap, reliable — _bachrc · 2026-11-02
- Local quants vs Claude on 9 real private bugs: 3-bit costs thinking time, not score — FeydRowan · 2026-11-02