HOW CAN INTERPRETABILITY RESEARCHERS HELP AGI GO WELL?

Summary from the TLDR AI newsletter

The Google DeepMind mechanistic interpretability team has pivoted to a pragmatic approach to interpretability over the last year. It is important to have empirical feedback on goals with good proxy tasks. Near-complete understanding isn't required for significant impact. Good focused projects start with a theory of change, and good exploratory projects start with a robustly useful setting.