Meta's open-source AIRS-Bench featured in State of AI report, measuring AI R&D agents
j_foerst · x · 2026-10-08
AIRS-Bench, an AI R&D benchmark open-sourced by Meta AI, is featured in the 9th annual State of AI report alongside PostTrainBench. It measures agents' ability to execute end-to-end AI R&D across the full research lifecycle—idea generation, implementation, experiment analysis, and iterative refinement—and was used in the Muse Spark and Muse Spark 1.1 safety reports to assess risks of models automating AI R&D and outpacing governance. Quantifies both LLMs and harnesses in training AI models, matching the report's 'Gyms for AI' theme. Code, paper, and dataset are public.
More from AGI Musings
- Taryn Southern: America has a productivity virus — AI may be the only cure — TarynSouthern · 2026-10-08
- AI's math wins may be overhyped — Moravec's paradox, not a singularity signal — StephenLCasper · 2026-10-08
- Economist: AI capex shifting to corporate bonds lowers bubble risk but raises crowding-out risk — soumitrashukla9 · 2026-10-08
- When Can Virtual Cell Models Skip Wet-Lab Validation? Model Builders and Skeptics Clash — gnukeith · 2026-10-08
- Anthropic study's ignored number: AI could do 81% of US jobs, robots beat humans on just 0.3% — JHochderffer · 2026-10-08
- Reddit: Altman and Amodei said 6 months two years ago — the AGI narrative quietly shifted — Capable_Art_1814 · 2026-10-08