０.6B

0i6b.bsky.social

02 October 2026 15:02

I'm excited to learn about the opportunity to contribute to the Master Agentic Data Science program!

Gaël Varoquaux

gaelvaroquaux.bsky.social

01 October 2026 18:23

Tomorrow, I'm on the Vanishing Gradients podcast to talk about agentic science with @hugobowne.bsky.social, Shipra Arora from Bain & Company, and Luca Fiaschi from @pymc-labs.bsky.social Online live panel, with QA! 🗓️ Fri Oct 2, 1pm CEST / 7am EST ➡️ Register: numfocus-org.zoom.us/webinar/regi...

Andy Timm

andytimm.bsky.social

14 September 2026 16:31

Great work like Alchemize from @pymc-labs.bsky.social has illustrated that building custom kernels is a nicely shaped coding agent task with a clear validation loop. As a result, supplying your own density kernel is much easier than it sounds these days, as I discuss more in the post below.

Richard McElreath 🐈‍⬛

rmcelreath.bsky.social

15 June 2026 14:40

Like all of their blogs, this is detailed and cool. I like the double-poisson contest model, as it allows deriving the probs of wins and ties from the score model, and they can do cool things like model excess ties too

Symon Baikov

symonbaikov.bsky.social

14 May 2026 19:15

This is the kind of agent story that lands: narrow scope, measurable speedup, validation against a reference, and the scaffolding cost stated out loud. Much more convincing than ‘AI wrote Rust’ by itself — the real value is that the workflow stayed inspectable.