[AlanTuring]

Lex here. This is a point I think about a lot. I hear conflicting advice from brilliant folks I really respect. Some say "go deep on the philosophy" and others "go deep on the technical details of the person's expertise." The latter is something that surprised me, and something I'll definitely do more of in the coming months. In general, one of the things the internet pleasantly surprised me with is that people like depth (even those outside the field). I obviously love the details, especially in ML, CS, math, physics, and psych.

Thanks for the kind words. I work hard on this thing, and hopefully will improve with time.

[ghaff]

Podcasts aren't great for super technical depth IMO given the lack of graphics much less equations, etc. But also IMO hearing about some of the technical details as opposed to what I might hear on an NPR are useful.

It's a difficult tradeoff I know whether for a podcast or even even for a lecture topic. I went to a couple of your sessions this IAP and I'll admit I found one fantastic (in part because it was directly relevant to some things I'm working on/talking about around AI privacy) and one not so much because I'm more focused on practical applications than the math underpinnings.