(Lawrence’s) Reflections on Research

This is less of a sequence and more of a loose collection of thoughts on how to orient oneself to do better research and the Bay Area AI safety community in general. A lot of the advice here is aimed at past Lawrence, especially:

In general, most of these posts are written in ~3 hours, and contain advice for which the law of equal and opposite advice applies; consequently, I wouldn’t take the advice too seriously. In particular, please don’t injure yourself using any advice here. If you feel like you’re suffering due to a piece of advice here, please disregard it and do something else instead.

That being said, I hope you find these thoughts useful nonetheless.

Touch re­al­ity as soon as pos­si­ble (when do­ing ma­chine learn­ing re­search)

Eval­u­a­tions (of new AI Safety re­searchers) can be noisy

Be­hav­ioral and mechanis­tic defi­ni­tions (of­ten con­fuse AI al­ign­ment dis­cus­sions)