Claude thread proposes an adversarial review skill for agentic science
ChrisGPotts · x · 2026-08-04
- The quoted thread argues that every successful scientific project eventually needs a battle-testing phase: an active effort to show the results do not hold.
- @mmooritz and the author propose an Adversarial Protocol Review skill to preserve that process in an era of agentic science.
- The idea is to make it easier for Claude-like systems to surface weak causal stories, narrow claims, and failure modes before conclusions harden too early.
Related event: Researchers Open-Source Adversarial Review Skill for AI-Driven Science(5 posts)→
More from Research
- David Adelani says African languages still need Africa-centric language models — davlanade · 2026-08-04
- Held-out rollout error worsened even as training MSE improved in a cited experiment — suchenzang · 2026-08-04
- Semantic map indexes 66,000 podcasts and 700,000 ideas — g_pal · 2026-08-04
- Mila highlights African-language LLM work at Deep Learning Indaba in Lagos — Mila_Quebec · 2026-08-04
- Cohere class explains how to evaluate LLM apps with tracing, evals, and feedback loops — Cohere · 2026-08-04
- Paper says selective parameter freezing may cut lifelong pretraining costs — ttkciar · 2026-08-04