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Good empirical safety research is heavily bottlenecked on thinking more clearly. This post shares a few frames and tips I found useful, illustrated with concrete examples.I spent the better part of 2026 in empirical AI safety research apprenticeships.
TL;DRIn Q2 2026, we ran the first MATS x Coefficient Giving (CG) Pitch Week: a four-week program designed to take fellowship researchers from an early idea to a funding decision.
I have recently completed MATS 10.0, where I worked alongside Bart Jaworski under Victoria Krakovna (GDM). This is a post I was encouraged to make by my team at Geodesic Research from some slides I put together. This is not a post on application advice to MATS, or about the program in general.
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