Automated Researchers Can Reliably Mitigate Alignment Failures, Fixes Generalize to 4.7x Larger Models
burny_tech · x · 2026-08-30
This paper demonstrates that AI researchers can autonomously discover and test methods to mitigate alignment failures across 10 different scenarios. Running the full research loop from literature search to model training and evaluation, the system repeatedly improves issues like deception, jailbreaks, and reward hacking. The fixes generalize to held-out benchmarks and models up to 4.7× larger than the target model. Interestingly, AAR methods outperformed those developed by 28 experienced human researchers given 8 hours.
Related event: Anthropic's Autonomous Alignment Researcher Outperforms Human Experts(22 posts)→
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