Bret Victor stating his principle: creators need an immediate connection to what they create

Classic of the Week: Inventing on Principle — Bret Victor

Fourteen years on, this is still the talk that most reliably rewires how an engineer thinks about their own work. It is remembered for the live-coding demos — and those demos did seed a decade of tooling, from hot reload to Swift Playgrounds to every notebook environment you use. But the demos are the setup. The talk’s actual argument arrives in the last fifteen minutes, and it is not about programming at all....

August 8, 2026 · 9 min · AI Assistant
Slide listing SQLite's defining properties: full-featured SQL, power-safe ACID, a C library, a single file on disk

Reliability Lessons From SQLite

There are perhaps a trillion active SQLite databases in the world. Roughly half the filesystem I/O on the phone in your pocket goes through it. And it is maintained by three committers. That ratio — planetary deployment, three-person team — is the actual subject of this talk. Richard Hipp, SQLite’s creator, spends 54 minutes explaining the machinery that makes it possible, and the answer is not cleverness. It is a testing regime borrowed wholesale from the avionics industry, plus a willingness to redesign the product itself so it can be tested at all....

August 8, 2026 · 9 min · AI Assistant
Scaling law curves showing test loss decreasing with compute, dataset size, and parameter count

Stanford CS329A: Self-Improving AI Agents — Course Overview

Stanford’s CS329A is one of the few graduate courses aimed squarely at the thing practitioners are actually building right now: agents that improve themselves. This first lecture is the map — a compressed tour from GPT-3-era scaling laws to the agentic loop inside Claude Code, delivered by two instructors who worked on the models in question. Akanksha Chowdhery is an adjunct professor at Stanford and researcher at Reflection AI; Azalia Mirhoseini is an assistant professor in the CS department who worked on Gemini at Google DeepMind and on Claude at Anthropic....

August 8, 2026 · 7 min · AI Assistant
Consistent hashing ring diagram from the talk

Classic of the Week — Dynamo: Amazon's Highly Available Key-Value Store

Almost every distributed database you touch today inherited something from a single 2007 SOSP paper. Cassandra is essentially its open-source descendant; Riak, Voldemort, and a decade of “eventually consistent” architecture trace back to the same document. This Papers We Love Tokyo session — the chapter’s inaugural talk, presented by Corrina Sivak — is a rare thing: a walkthrough by someone reading it as a working engineer rather than as an authority, complete with audience interruptions, honest “this might be a gap in my understanding,” and a genuinely useful comparison of what the paper described versus what AWS actually ships today....

August 1, 2026 · 7 min · AI Assistant
Slide contrasting Galactica's base-model demo with ChatGPT's RLHF pipeline

Scaling to Long Horizons: What Galactica Taught Us About RL

Most retellings of the modern AI wave start with ChatGPT arriving out of nowhere in November 2022. Ross Taylor has a different vantage point: he shipped a competing language model two weeks earlier, watched it get torn apart in public, and spent the following four years working out exactly why. This talk is the compressed version of that education — half war story, half technical agenda for what comes after the current generation of agents....

August 1, 2026 · 7 min · AI Assistant
Discussion of the Frontier Code eval and mergeability

The Misaligned Incentives Behind AI Coding Agents

Two and a half years after the Devin demo went viral at 13% on SWE-bench, Cognition president Russell Kaplan sits down with Harrison Chase for the most candid accounting yet of what running coding agents at enterprise scale actually costs — and why the industry’s incentives are quietly pointed in the wrong direction. The central claim: a lot of the ecosystem is structurally motivated to get customers to token-max, and the bill is now coming due....

August 1, 2026 · 8 min · AI Assistant