(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:
- Touch reality as soon as possible (when doing machine learning research)
- Evaluations (of new AI Safety researchers) can be noisy
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.