Defending AlphaGenome: 'not AI slop' — predictions are cutting edge, researcher argues
anshulkundaje · x · 2026-09-19
Responding to skepticism about AlphaGenome's distilled predictions, researcher Anshul Kundaje says their usefulness for variant prioritization remains to be seen as others apply them, but 'this is not AI slop — it's not remotely garbage. These are pretty much at the cutting edge.' Part of an ongoing debate over the real value of Google's AlphaGenome outputs.
More from Research
- New benchmark shows frontier VLMs still can't read Braille despite 43M blind users — prajdabre · 2026-11-02
- Diffusion models emerge from associative memory: spurious states may signal generalization — DimaKrotov · 2026-11-02
- r/LocalLLaMA Proposal: Private Quality Benchmarks Over Endless tok/s Chasing — Express_Quail_1493 · 2026-11-02
- SIGGRAPH Asia 2026 heads to Kuala Lumpur Dec 1-4, technical papers program previewed — tomaszbednarz · 2026-11-02
- AI-generated phase transition simulation wows Reddit with order-parameter visualization — NedRadnad · 2026-11-02
- KAIST's QCP lets robot policies control execution quality in real time — kaist-ai · 2026-11-02