Thanks for the feedback! I haven't really estimated how long it would take to have a transcript with speech-to-text + minor corrections,—that's definitely on the roadmap.

Re audio: cost of recording is probably like one hour (x2 if you have one guest). I think that if I were to write down the whole transcript without talking it would take me easily 4-10x the time it takes me to say it. I'm not sure on how worse the quality is though, but the way I see it conversation is essentially collaborative writing where you get immediate feedback about your flaws in reasoning. And even if I agree that a 1h podcast could be summarized in a few paragraphs, the use case is different (eg. people cooking, running, etc.) so it needs to be somewhat redundant because people are not paying attention.

Re not being interested in forecasting timelines: my current goal is to have people with different expertise share their insights on their particular field and how that could nuance our global understanding of technological progress. For instance, I had a 3h discussion with someone who did robotics competitions, and one planned with a neuroscientist student converted into a ML engineer. I'm not that interested in "forecasting timelines" as a end goal, but more interested in how to dig why people have those inside views about the future (assuming they unconsciously updated on things), so we can either destroy wrong initial reasons for believing something, or gain insight on the actual evidence behind those beliefs.

Anyway, I understand that there's a space about rigorous AI Alignment research discussions, which is currently being covered by AXRP, and the 80k podcasts also cover a lot of it, but it seems relatively low-cost to just record those conversations I would have anyway during conferences so people can decide by themselves what are the correct or bad arguments.

hey, dunno why it's obfuscated, here it is! https://anchor.fm/s/56df2194/podcast/rss

done! should be live in a few hours