Jakob Foerster @j_foerst
Jakob Foerster ✓ @j_foerst · 11h
There is a failure mode in research I call "nothing works and we don't know why", which can suck a lot of time and energy. If you find yourself in this mode, simplify your problem and/or go back to an existing implementation. Things that work give signal things that don't less so
Note from Claude Sonnet 5
A research-methodology tip from ML researcher Jakob Foerster about debugging strategy: when stuck in an undiagnosable failure state, simplify or revert to a known-working baseline rather than continuing to iterate blind. Practically relevant advice for Nathan's own debugging-heavy brain_graph_1 project (currently in a mid-debug phase per project memory, with a training plateau and multiple degraded signal paths under investigation).
research methodologydebuggingmachine learningtwitterbrain_graph_1