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if you want to automerge thousands of pull requests , this is how she does it (via @poteto). 809 in june. 10,926 in october. merged prs a month that touch the grok bot team's code. i went through her posts and put the setup in one place. every pr still gets an agentic risk review plus bugbot. low- and medium-risk ones automerge. only higher-risk ones get a person. day to day, in her words, it's just grok bot and cursor projects. she used to have more cursor automations and replaced them with slack bots that have routines. she works on many streams in parallel with pstack: perf, bug fixes, agent-friendly refactors, her own skills, features, ui polish, the harness, release and observability. not from sitting in a review inbox. she's said the speed gains come from parallelizing. a single chat can take longer because of verification. she handholds it less, so she can run several large projects at once. the real setup is in the codebase and the checks around it. she treats the codebase as memory. every agent mistake needs to turn into a constraint. her team built their own framework for grok bot so some anti-patterns become hard to write at all. agents have to verify their own work. they run the app, and can sometimes model it in tla+. they produce screenshots or video that are easier to check than the whole pr. formal verification skills and ordinary run-and-debug skills work together. she calls this an inverse pyramid. push as much as you can into determinism (fuzzing, property tests, formal and runtime verification, stricter languages) instead of spinning up more agent swarms. in her oct 6 post, she tells sandcastle, a grok team bot, to cut. it runs a buildkite dry run, dms every pr author (they can object), kicks the build, and watches it. then it starts a fuzz swarm: usually 10+ agents on grok 4.7 xhigh, some directed, some chaos monkey, using their verification skills and feature map. when something is high priority, she tells sandcastle to @ mention poteto, her engineer bot, which then spins up a cursor project to triage and fix. her team ships a new stable version of the client at least once a day. that's a lot of machinery under "just grok bot and cursor projects."

今晚别刷Netflix了。 去看这个SpaceX AI工程师1小时的课程。 这是我见过最清晰、端到端讲透GrokBot到底该怎么真正用起来的课。 从单agent开始，一路到loop、graph、多智能体协作、verification和agent-friendly架构。 不管你是从没认真跑过agent，还是已经天天在用GrokBot，看完都会把很多“原来如此”的点一次打通。 真正核心就这几层： 1. 99%的人只用1个agent，没用loop和graph，只发挥了1%实力 2. 真正的新stack是Chief of Staff + PM + 20+ workers全自主团队 3. 怎么用高质量skills让agent像真工程师一样干活（pstack） 4. 怎么把代码和架构改成agent-friendly（Dune、contract、CI） 5. 怎么用verification让自己真正敢把活交给它们，而不是一直盯着 大多数人花好几个月才拼出的全景图，这节课直接给你画完。 把时间空出来，这可能是你这个月最值的一堂课。

President Xi shared a story about Mr. Sakolsky. Over 20 years ago, an American named Ronald Sakolsky gave financial support to Yin Yuzhen, a Chinese desert control worker, for her tree-planting effort. Their story touches the hearts of many Chinese people and stands as a shining example of the friendly exchanges between the two peoples.

President Xi noted in his toast remarks that this visit has added new substance to the constructive China-U.S. relationship of strategic stability, and provided new strategic guidance for China-U.S. relations. The two sides must act as responsible major countries, meet the expectations of the two peoples, keep pace with the trend of the times, explore a new approach for major countries to get along with each other, and write a new chapter in their friendly relations.

Today, Pioneer Labs is announcing our first step towards terraforming Mars. 🚀🌼 With equipment that fits in just a single rocket launch, we can convert Martian dirt, water, and air into enough building materials to construct a small city on Mars. To do it, we made the first microbe for Mars. We found the best microbe on Earth and used evolution to teach it how to source all of its nutrients directly from Martian materials. The first astronauts will be greeted with safe shelter already filled with water, oxygen, and rocket fuel for the return journey. This is the first step toward using biology to make Mars a friendly place for life. It lets us live off the land and helps us build the next great frontier. It's the first of five organisms we need to green Mars ⬇️

Today, we are announcing the second generation of Agentic Document Extraction (ADE). It is faster, more accurate, and more affordable than ever before. ADE Gen2 delivers higher performance while optimizing cost for every document. Pricing has been completely overhauled. Customers running mixed workloads should see 25% to 80% cost reductions. Groundings and citations now reach the word level following a page > block> line > word hierarchy. This allows every extracted value to point to the exact location on the page it came from. The outputs from the v2 Parse and Extract APIs are fully agent-ready and agent-friendly. Your agents get a clear hierarchy, stable IDs, and clean, standardized Markdown designed just for them. ADE Gen2 is a step change in document intelligence not an incremental update. Read the full announcement on the blog (link in comments). Create an account and get started for free at

My dear friends, I am happy to report the publication of the most important paper in my life to date (we have several great papers coming out but this is very special). Tomorrow, I will present this paper for the first time at the Nature AI Healthcare in Paris and will post a longer post on this story and its broader implications for how to conduct clinical trials. Please read it and comment on it. Many thanks to the great co-authors of the study and everyone who contributed. Many thanks to the many reviewers (friendly and unfriendly) for spending so much time and helping make it better. Link in the comments.

BREAKING: SpaceXAI has released a new and improved update for Grok Build. v1.0.12 — 2026-08-27 Performance: • Worktree creation is faster by skipping stale reflog copies. Bug Fixes: • Copying wrapped table cells no longer inserts unwanted spaces at line breaks. • MCP server connections that fail transiently now retry instead of staying unavailable. • Waiting on subagents after an interjection no longer blocks on unrelated background work. • Prompt blocks now show friendly hook descriptions instead of internal IDs. • Truncation error message no longer suggests asking for a shorter answer. • Context estimates for conversations with reasoning are now more accurate. • Token usage after rewinding or switching modes now matches the actual server-reported count instead of overestimating. • Context bar now updates immediately when auto-compaction begins instead of waiting until it finishes. • File system monitoring for .NET projects no longer creates excessive watchers on Linux. • Auto recap no longer appears while a background task or monitor wake turn is streaming. Download Grok Build: Update to the latest Alpha release: grok update --alpha Update to the latest Stable release: grok update