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- Anthropic Automated W2S Researcher: PGR 0.97 vs 0.23 human baseline; full prompt stack published (system prompt, skill, critic prompts) - SPARK pathology agents: Nature Medicine, survival-validated biomarkers; full CrewAI agents/tasks prompts published - OpenAI graviton amplitudes: rejected - no prompt ever released
2.4 KiB
2.4 KiB
Automated Weak-to-Strong Researcher (AAR)
| Lab | Anthropic (Alignment Science) |
| Model | Claude Opus 4.6 (Claude Agent SDK) |
| Field | AI alignment research — weak-to-strong generalization |
| Result (yield) | Nine parallel AARs working 5 days (~800 cumulative hours, ~$18k) achieved PGR 0.97 on weak-to-strong supervision, vs. a human-researcher baseline of 0.23 achieved over 7 days. Published April 14, 2026. |
| Announcement | https://www.anthropic.com/research/automated-alignment-researchers |
| Paper | https://alignment.anthropic.com/2026/automated-w2s-researcher/ |
| Code + prompts (MIT) | https://github.com/safety-research/automated-w2s-research |
Why it's battle-tested
This is the strongest provenance in the gallery: the run is published, and the entire prompt stack is public — the agent system prompt, the Claude skill, the critic-idea prompts, the sandbox, datasets, and baselines. Nothing user-authored is hidden.
Why the yield is credible
- Ground truth was held server-side; agents were isolated in Docker/RunPod sandboxes that only saw unlabeled data (cheating was designed out).
- The metric (Performance Gap Recovery) is objective and mechanically scored.
- Human baseline (0.23) was measured on the same task, same datasets.
Prompt files (verbatim, copy-paste)
prompt-agent-system.md— the autonomous research agent's system prompt (research_loop/prompt.jinja2): role, W2S background, PGR metric, baseline list, iteration protocol (up to 5 days per direction), evaluation-API discipline, findings-sharing rules.prompt-skill-research-thinking.md— theresearch-thinkingClaude skill (.claude/skills/), the exact "hidden" skill class that is unpublished in other labs' releases.prompt-critic-critique.md,prompt-critic-critique-evaluation.md,prompt-critic-judge.md,prompt-critic-binary-judge.md— thecriticbaseline idea's prompts (the strongest human-known baseline, which the AARs' discovered ideas surpassed).
{{placeholder}} variables are filled by the harness at runtime; the MCP
tools (evaluate / share finding / leaderboard) and sandbox are in the public
repo. License: MIT.