Daily Brief

Full episode:https://youtu.be/PrSf7IOYu-I Me on twitter: https://x.com/dwarkesh_sp

Someone opens a pull request on one of your open source repos and drops a line into a markdown file. An automated code review reads it and says looks good. That file is part of the content pipeline feeding an agent that runs commands on thousands of developer machines, so you have now shipped a prompt injection payload signed by you. Sarah Sanders is a context engineer at PostHog, where the Wizard is an agentic CLI that reads a codebase, installs the right SDK, instruments events, and builds dashboards, turning an hour or two of setup into five or six minutes. Roughly 8,000 people run it a wee

Half of Kay Malcolm's team sits in Europe and half in the United States, so when the Netherlands side commits code at four in the morning her time, the Americans wake up to the code and none of the reasoning behind it. Git records what changed, not why anyone decided it. AI had made every individual on the team faster without making the team any more productive, and she went looking for the missing layer. Malcolm runs outbound database product management at Oracle, where she has spent twenty years, and her framing is anatomical. If the model is a brain floating in a jar, the harness is the bod

When Andrew Qu handed Vercel's internal data science agent to its first trusted users, the verdict came back that it was awful. It had been clearing thirty percent of his evals and he thought the team was cooking. Qu is Chief of Software at Vercel, and he began a year earlier by asking marketing, sales, finance, and legal what they hated most about their jobs. The best answer came from the data team, lean and growing slower than the company around it. Whenever anyone had a question about a customer or a product, a data scientist dropped everything to write the query and report back. Qu walks t

By the third version of the same agent, the source directory is gone. What remains is an AGENTS.md holding the system instruction and a small bash script that installs the GitHub CLI on first run. No tool definitions, no JSON schemas, no Python. Philipp Schmid builds the same GitHub pull request review agent three times on stage, deleting code with each pass, and the test he applies at the end of each one is the same throwaway question: what is the weather in San Francisco? Version one, a hand written loop with function call parsing and error handling, says it cannot do that. Version two, buil

Full episode:https://youtu.be/PrSf7IOYu-I Me on twitter: https://x.com/dwarkesh_sp

From helping pioneer ideas that foreshadowed prompt-based, general-purpose NLP to now building AI systems that can automate AI research itself, Richard Socher is betting that the next major step in AI is recursive self-improvement. In this episode, Richard joins Latent Space to unpack his vision for the “Eureka Machine”: a superintelligence that can improve the process of invention itself, accelerate AI research, and eventually tackle major problems across science, energy, materials, biology, and more. Pre-order the book "The Eureka Machine" here: https://www.hachettebookgroup.com/titles/rich

教师节，祝老师们节日快乐，也感谢那些给我托举，给我祝福，给我无私帮助的师长。

本篇为世纪风暴系列伊朗篇——告别伊玛目。