Daily Brief

Cloudflare's weekly go to market summary is written by three agents in sequence: one drafts from the data, a second checks that draft against the data, and a third, the tone agent, rewrites it so risks and opportunities land with equal weight. Justin Joyce's team read every run for two to three months before trusting it. Joyce works in sales operations and strategy at Cloudflare, after seven years on the machine learning side, and his diagnosis is that traditional go to market does not scale. Operations rebuilds the same analysis in spreadsheets every week, or ships dashboards that meet most n

Ask an assistant to compare code intelligence tools and Sourcegraph comes up 65 percent of the time. Describe the actual pain instead, that you keep breaking downstream services when you change shared libraries and cannot see all the consumers, and it comes up zero percent. It suggests your developers write a wiki page. Stephanie Jarmak ran that experiment. The gap between shopping and hurting is invisible without measuring it. Jarmak, an astronomer a year ago with no commits, now has 12,000 and maintains an open source multi agent orchestration framework under the title agent advocate. The ta

Rich Sutton gets called a radical. He thinks he's the one thinking normally. Before the current AI moment, nobody would have said "continual learning" — learning that wasn't continual made no sense as a concept. We act, we learn, we keep learning. That the field needed a special term for it says more about the field. #ai #machinelearning #llm

Full episode: https://www.youtube.com/watch?v=aV26V1UvkJw Me on twitter: https://x.com/dwarkesh_sp

Most of AI is pointed at language. Anima Anandkumar points it at the physical world, weather, fusion, materials, the systems physics writes down as equations, and finds the usual playbook breaks. There isn't enough data, the resolution is brutal, and no transformer is big enough. Her way through is older than deep learning: build the structure of the world into the model. It already produces weather forecasts that rival the supercomputers on a single GPU. Co-founder of Accelerated Understanding, Anima has spent two decades in AI, from the theory that predates deep learning, through scaling it