weekly-videos

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. Bjarne Stroustrup designed C++ at Bell Labs in the early 1980s and has spent the four decades since shepherding it through standardization, a thousand committee fights, and a parade of would-be successors. This nearly two-hour conversation covers the whole arc — origin story, the Bell Labs research culture, the philosophy of “negative-overhead abstraction,” the politics of memory safety, and the handful of decisions he genuinely regrets....

DeepMind’s roughly six-minute overview video, “Generating novel scientific hypotheses with Co-Scientist,” opens not with a product demo but with a confession from scientists: the firehose of new literature has long since outpaced the humans trying to drink from it. One researcher describes having “hundreds of Chrome tabs and papers open.” Another says the amount of knowledge needed to stay at the frontier of a field now doubles roughly every two months....

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. Dwarkesh Patel got an unusually concrete tour of a working AI training facility this week: Jane Street’s GB300 NVL72 cluster in Texas, guided by Ron Minsky (co-head of the technology group) and Daniel Pontecorvo (physical engineering). It’s only 16 minutes long, but it’s a dense walk through the things that actually break when you try to put modern GPU racks into a building that was never designed for them — cooling, leak detection, power balancing, and miles of copper and fiber....

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. 📜 Classic of the Week. This week’s digest re-surfaces a 2023 classic: Andrej Karpathy’s “Let’s build GPT: from scratch, in code, spelled out.” Three years later it is still, hands down, the clearest single resource for understanding what is actually happening inside a transformer. If you have never sat with it end-to-end, this is your nudge....

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. Ron Minsky opens his talk with a self-deprecating framing: he’s the guy who’s spent a career advocating for rigorous engineering — strong types, OCaml, careful testing, taking code review seriously — and now, in the era of coding agents, he’s back to tell you that all that stuff is now more important, not less....

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. What’s better than one GPT-5.5 Pi coding agent? Two GPT-5.5 Pi coding agents that can actually talk to each other. That’s the opening provocation of IndyDevDan’s latest video, and it leads into a deceptively simple shift in multi-agent design: drop the orchestrator, give every agent a two-way communication channel to every other agent, and let the best information win....

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. LangChain’s annual conference Interrupt 2026 opened with co-founder Harrison Chase laying out a thesis the company has been quietly building toward for two years: agents aren’t software, and you can’t ship them with a software lifecycle. What follows are the key ideas from the keynote, plus the half-dozen product launches LangChain announced to back the thesis....

Weekly Video Notes — a short article distilling one talk from the weekly digest. Source video and key frames are embedded throughout. Pathway staged something unusual: a panel debate, framed as a literal boxing match, on whether the transformer is the final architecture of the AI era — or whether we are already living through the dawn of a post-transformer one. In the blue corner, defending the belt: Łukasz Kaiser, co-author of Attention Is All You Need and one of the minds behind GPT-4 and o-series reasoning models at OpenAI....