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I love this summary of "what to learn in a PhD." What Jack points out seems like a simple principle, but living through the intellectual uncertainty and chaos of being lost in your research for a long time—it's emotionally much harder learn to do it than it sounds.

How do you discover the ethical values of an AI when it is about what the AI *refuses* to say? In his preprint Can Rager develops a procedure for crawling refusals. It reveals huge differences in models from different countries! We should all audit our AI systems.

The New England Mechanistic Interpretability Workshop, NEMI 2025 is August 22 in Boston. Talks, posters, meals, discussion... Most of all, an excellent chance to chat about new ideas with other great researchers in the field! Register and please retweet!