Discovery Harnesses Face Generalization Issues Without Universal Best
LChoshen · x · 2026-07-22
The post highlights the significance of OpenEvolve and quotes an observation regarding the generalization problem in discovery harnesses. No fixed harness is reliably superior across all model-problem pairs; thus, harness choice is better treated as a model-problem-specific hyperparameter rather than a universal recipe.
More from Research
- ICML 2026 oral paper replication scores stay middling after a stricter re-scoring — profjamesevans · 2026-07-27
- Long-running agents will need immutable event logs, this thread argues — sebpaquet · 2026-07-27
- Seed IQ navigates Doom II, prompting questions about benchmarks beyond ARC-AGI — Fit_Transition8824 · 2026-07-27
- Agentic Data Science in Practice: Agents Write Code but Answer Wrong Questions — hugobowne · 2026-07-27
- A concise canon of foundational papers in ML, systems, NLP, speech, and audio — deliprao · 2026-07-27
- TechCrunch says brain-wave signals could be the next unlock for physical AI training — TechCrunch AI · 2026-07-27