@learnbayesstats.bsky.social if you like to explore the field of simulation-based inference more, people like @kylecranmer.bsky.social @glouppe.bsky.social @jakhmack.bsky.social or people of the @sbi-devs.bsky.social project could be really good next guests. Lots of things happening there.

I'm done listening. As always, @vincefort.bsky.social is a super knowledgeable guest and a good communicator. Some parts (PAC-Bayes, amortized inference) are sometimes hard to follow due to high density of math/terms. Still very enjoyable and fun episode.

Interesting paper! Thanks for sharing. And from what it looks like, no prompt engineering was done. 🤷 This likely leaves the LLM performance under the table. 🐌 To me, this adds apples-oranges (🍎vs🍊) vibe to the robust & well-done stats analysis. Plus, only #openai models were tested. 🔍