🎙️ Our first guest in the AI series is the legend @mitchellh 🎙️ We covered a lot of ground and learned a tonne from him: 👻 Ghostty's internals and why tmux & certain shells strip its best features. His path from AI skeptic to cautious optimist.

Karpathy's goal for agents: maximize how long they run without intervention. While individual speed is going up, "system" speed isn't (the false summit ⛰️). In ep 309 we talk about resolving this tension with Background Agents!

Our LLM explainer (ep 303) got pretty popular, so we thought we'll follow up with the natural progression - how do image models work - in 20 minutes! also... what does Michalangelo have to do, with understanding stable diffusion models? 🤔

OpenAI spent 20% of every week cleaning up AI slop from their own coding agents. So they built a "harness" shaping the agent's environment so the slop never ships in the first place. New episode 307 on Harness Engineering !

Are AGENTS[.]md files even useful? There’s finally a paper asking the obvious question. @kaushikgopal and @IurySza get into the paper, the sync problem, and the small amount of discipline required to stop your agent setup from turning into a mess.

.... annnnnnnnnd we're back! This week @donnfelker talks about how it's Ok to not know everything and how to set yourself up mentally for JIT (Just In Time [learning]). Listen in here: fragmentedpodcast.com/episod…

@rustyshelf @AnuragChitnis @chiuki @queencodemonkey @geekygecko @pocketcasts

This week @donnfelker and @kaushikgopal dive into the not-so-nice bits of Android development and vocalize some thoughts and opinions on it. Listen in here fragmentedpodcast.com/episod…

@sregg @buddybuild