Stanford professor: Claude/GPT are pretty bad at annotating DNA motifs
anshulkundaje · x · 2026-09-24
Stanford professor Anshul Kundaje reports that Claude/GPT perform "pretty bad" at helping annotate DNA motifs — a painstaking manual task. His team is building enough labeled data to train models to accurately annotate massive motif lexicons, suggesting an intrinsic capability worth adding.
More from Research
- WeightWatcher K-matrix power-law exponent tracks LLM memorization with ρ ≈ -0.90 — rickasaurus · 2026-09-24
- Researchers launch Prevent, Contain, Prove, a voluntary framework for formal methods — Miles_Brundage · 2026-09-24
- Tencent Hunyuan extends critical-batch-size theory to LLM RL: 29% faster GRPO, 2.29× PPO throughput — TencentHunyuan · 2026-09-24
- Researcher: activation steering is crude, we must speak the geometry inside models — cephaloform · 2026-09-24
- Neel Nanda's team launches WorkspaceBench, an eval to test interpretability tools — burny_tech · 2026-09-24
- SchrödingerRepo: rewriting repos exposes LLM memorization on SWE-bench — SJTU · 2026-09-24