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Research Lessons I Learned at MATS & Redwood

The post discusses the importance of clear thinking in empirical AI safety research, emphasizing fast iteration through efficient problem-solving and the use of scientific frameworks. The author shares insights from their apprenticeships at MATS and Redwood Research, focusing on finetuning-based misalignment auditing and sabotage capability evaluations.

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PublishedOctober 12, 2026Jo Jiao
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WHY IT MAY MATTER

This summary highlights the key takeaways from the author's experience in AI safety research, focusing on the importance of clear thinking and efficient problem-solving methods.

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