Welcoming Steren, creator of Google Cloud Run, to Vercel. He will lead the Fluid family of compute products (Functions, Containers, Sandbox, Builds). Serverless was the last chapter of the cloud, and Steren helped define the paradigm at Google. Agents are the next frontier, and they require new compute primitives designed for them. Excited for Steren to lead this transition once again.

Introducing Vercel Labs Tools for devs in the AI era agent-browser, skills, json-render, deepsec, fx, just-bash, portless, vgpu and more We experiment in public: ship early, learn from feedback, and keep working on what people find useful We've been shipping under the Labs name for a while. Now, Labs is an official team at Vercel focused on exploring new capabilities and primitives that change what developers and agents can do. Here's what to expect: → Labs products: maintained, supported, built to be relied on → Active experiments: moves fast, expect rough edges and breaking changes → Past experiments: ideas that become new projects, make it into existing products, or teach us what to build next

Favorite photo and passage: 'Two hundred years of peace will not come for free; you have to do certain things. You wake up, you hit people, you pay them to hit you. Then it’s another subpoena, another lawsuit. The president whose election is your fault is calling. Witness testimony. Congressional hearing. The president whose election isn’t your fault demands you censor the opposition or else there will be new taxes, new investigations. Product review until 3am. Facebook is causing genocide in the Third World. Instagram is responsible for teen suicide. There’s another whistleblower with a book deal. Here comes another Aaron Sorkin movie. You’re behind on AI. No one respects social media or digital advertising. It isn’t rocket ships. It isn’t brain chips or cool cars. The sun still sets on too much of the map, and the map is a prison. Testify. Pay the settlement. Build “personal superintelligence.” Put it in the apps. Put it in sunglasses. This is my impression, at any rate, as he takes the stage in the Terminal Warehouse in a pair of optical Meta AI glasses...'

. @vercel @sonofalli & @rauchg got the hosting + costs of this sorted! felt very important to be able to open source and open demo link this..to let people (esp the instagram crowd) see the power of frontier AI for themselves ty to @vercel team for supporting 🫶

One of the biggest frustrations we hear from clients is that they can't access the best data and the best technology in one platform. We don't want you to have to choose. Legora's legal research will combine access to comprehensive data with AI-native navigation. We are building the world's most comprehensive legal dataset, mapped into a full ontology of how the law relates, including an AI-native citator that tracks what's still good law. We are building this in every country around the world. The future of legal research is global. Live in limited beta in the US now, more to come soon.

"This ep is SO GOOD" - our designer If you're like me and love those little @bot icons, animations, and little moments of UX delight, you'll love this ep of How I AI, where I sat down with @johnbai and @pengzheng_ to learn how the GrokBot design team uses AI agents to design things better than ever (even from the gym.) John and Peng show us: - a hyper-personal homepage that Grok Bot maintains - how Figma Bro the design bot does design production - turning voice memos into full production code Full ep on YT:

Some will find this demo startling. That's reasonable. What @nuance_ai built is startling. But it's also a step toward insuring AI is both safe and helpful. For AI to follow our intent, it needs to understand what we really intend. And what we really mean is in the nuances.

We are putting a new foundation under legal research in @WeareLegora. Comprehensive data, a full ontology of law, and an AI-native citator. Almost every legal question starts in the same place. What does the law say, and does it still hold. That is also where AI has been least worth trusting, and I think it is the hardest problem in legal AI. Two things have to be true: You have to have the law, and you have to know your way around it. Getting the data is a grind, and a different grind in every country. We partner with publishers where we can. Where nobody will partner, we go and get it ourselves. Manual requests, physical scanning, whatever that jurisdiction takes. We are working through over 100 countries and every type of source. Then the harder half. No agent can reason across hundreds of millions of documents. Something has to choose the sources before the reasoning starts. So we are building an ontology of the law and an AI native citator, compressing corpora of thousands to hundreds of millions of documents into structured data that an agent actually can use to provide reliable output. The publishers did this by hand. 150 years, thousands of attorney editors, every opinion read by a person. We have hired the best of those editors. They set the standard and they call the close ones, but AI does the muscle work. Reading 60 million pages of case law is no longer too expensive to attempt. The ontology is in limited beta now. Generally available in Q4. Full story:

After a long month away, grateful to be back in California again. Family emergencies are a blunt reminder that life is short, health is the bedrock of happiness, and there truly is no place like home. Extraordinarily thankful today.

Starting a new movement called Hyperoptimism • Technological might is economic might • Good fortune is a civic, moral force • Sovereignty through solvency • Prosperity is invented, not legislated • Power for all: Infinite leverage means boundless agency