Guillermo Rauch

Safari 27 supports JSPI, a magic WebAssembly capability for sync native code to suspend on an async 𝙿𝚛𝚘𝚖𝚒𝚜𝚎. On http://fx.sh, libfx uses the built-in browser 𝚏𝚎𝚝𝚌𝚑 stack to make API calls. As more code goes native, I expect WebAssembly to play a huge role in the future of the web.

Excited to formally introduce Vercel Labs. http://vercel.com/labs is the home for the in-public research and experimentation arm of Vercel. 247 million downloads in, we wanted to, also in public, share what we're supporting, what we're researching, and what experiments didn't pan out. Kudos to @ctatedev and @cramforce for shaping this great initiative and iterating in public.

The future is multi-model. Trying to hide the choice confuses and hurts customers, who can't participate in the upside of the most exciting market competition of our times, nor master the best tool for the job.

One of the coolest things about 𝚏𝚡 is that it auto-upgrades, and 𝚌𝚝𝚛𝚕+𝚐 restarts + resumes the chat. Also, that 0.0.10 is much, much faster for longer sessions 😊 https://fx.sh/changelog#v0.0.10

Agents are only as good as the proof-checkers, compilers, type systems, and linters you give them. 𝚜𝚑𝚊𝚍𝚌𝚗/𝚕𝚒𝚗𝚝 helps agents stay on track with the rules of your design system. Meta: verifiers + skills are the new 'frameworks'!

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.

Skill-driven development

You don't get it, I build software to relax

I’m seeing teams at Vercel iterate just as fast on Zig, Go, Rust projects as TypeScript & Python ones. The days of language or runtime choice based on human convenience are over. Agents are the new compilers. They compile intent into fast software.

http://fx.sh can now orchestrate subagents with different models & reasoning efforts. e.g: Fable planning and Grok executing. Fable is a genius, Grok is a fast workhorse. ① Simple. 𝙰𝙶𝙴𝙽𝚃𝚂.𝚖𝚍 or your prompt can indicate this preference. ② Steer as you please. It’s extremely enjoyable to use. You just talk to the agent and interrupt at will. Worth noting this works with any model, any gateway. No fancy server-side routing. Just harnessing (no pun intended) the model’s intelligence and ability to orchestrate.

The concerns over AI safety and cybersecurity are legitimate, but we’re risking talking America, the global AI leader, into self-inflicted obsolescence and the obscurity of bureaucracy. The OpenAI hacking HuggingFace argument is spurious. An agent in “ExploitGym”… exploited. Our adversaries have the training techniques, the data, and the will to attack. And they won’t be slowed down with “embedded evaluators.” They’ll likely have embedded accelerators!

Tailscale’s model router is powered by Vercel AI Gateway as its underlying infrastructure. AI Gateways are the new CDNs. You could go “direct to origin”, but it’s brittle. You could DIY, but it’s painful and costly. Proud to serve Tailscale, the 🐐 networking technology company

A computer for every agent, in every region

Each day ~10 million deployments are made on Vercel, with 2.35 billion made to date. Vercel is one of the most heavily multi-tenant systems in the world. Billions of application deployments co-exist and are accessible ('routable') on our CDN at any given moment. Underlying our CDN is a global metadata store that synchronizes within hundreds of milliseconds, globally. e.g: when you roll back, change config, add routes, etc. We just made this system 91% faster at p99, and in the process sped up the build→deploy pipeline. All of this while the system is under immense pressure from the growth in agentic deployments. Great read on the internals of Vercel from our CDN engineering team:

We made deployments faster again

AI Benchmarks with @Benchmark & @Vercel. It's ① the most aptly named event in SF history and ② about one of the most important software categories of our generation. The companies that benchmark models and guide the world towards skill, truth and efficiency. Join us: http://partiful.com/e/OYitylvrnt5tXcBtWXug

8 price cuts, fee removals and structure improvements, plus 16 model discounts… in the last 6 months alone. More to come…

Token volume on @vercel AI Gateway has averaged double-digit weekly growth for 8 straight weeks. Last week it accelerated to +24.8%. It’s almost inconceivable. Infinite demand of intelligence.

/goal understand the universe

Chat has won. It's all chat + computer from this point on

You can now go viral on 𝕏 without the stress of runaway CDN bills. Crucially, without sacrificing our S-tier network performance. AI is making devs and startups take off crazy fast. Flat Rate CDN brings you both scale and peace of mind.

https://fx.sh keeps getting faster and smaller libfx now takes <𝟸𝚖𝚜 to initialize cold in @nodejs / @bunjavascript, compared to pure-JS harnesses taking ~𝟺𝟶𝟶𝚖𝚜

Lots of cool stuff shipping this week

Your software factory needs high quality video recording. 𝚊𝚐𝚎𝚗𝚝-𝚋𝚛𝚘𝚠𝚜𝚎𝚛 delivers. We’re shipping more functionality derived from the lessons of automating the new bottleneck in software engineering: review, testing and QA.

▲ ~/𝚛𝚊𝚞𝚌𝚑𝚐/𝚘𝚜𝚜-𝚐𝚛𝚊𝚗𝚝𝚜/ 𝚕𝚜▐ (v2) I'm announcing v2 of my open source grants of $1,000USD to 35 awesome contributors. The themes: ① Agent skills & tools Skills are now a valuable form of software, like Emil's world-class design eng work. Projects like 𝚙𝚐𝚋𝚘𝚝, 𝚔𝚗𝚒𝚙, 𝚞𝚗𝚕𝚒𝚐𝚑𝚝𝚑𝚘𝚞𝚜𝚎 create amazing AI engineering loops. ② Local AI Projects like 𝚜𝚕𝚘𝚝𝚜𝚝𝚛𝚎𝚊𝚖, 𝙻𝚘𝚌𝚊𝚕𝙰𝙸, and 𝚌𝚘𝚕𝚒𝚋𝚛𝚒 are making inference not just a demo but for many a real and growing utility. Exciting to watch local AI unfold. ③ Performance There's no excuse for software to be slow anymore. Projects like 𝚏𝚏𝚏 and 𝚝𝚊𝚔𝚞𝚖𝚒 leading with speed, compilers like 𝙿𝚎𝚛𝚛𝚢𝚃𝚂 and 𝚙𝚘𝚛𝚏𝚏𝚘𝚛 that can help us upgrade entire ecosystems to native, and 𝚐𝚙𝚞𝚒𝚡 pushing the GPU rendering speed frontier. ④ High quality foundations AI is still at its best when it can reuse great components than regenerating every time from first principles. Lots of love to folks working on @shadcn, Svelte(kit), Nuxt, Node.js and security foundations. ⑤ Cool experiments I couldn't resist donating to http://gloom.sh, a 'Finance terminal in the terminal', or beautiful funky things like 𝚍𝚒𝚝𝚑𝚎𝚛-𝚔𝚒𝚝. 🔗 https://rauchg-oss-grants.vercel.app/ PS: These are personal, not affiliated with Vercel, and fully unconditional. If you are listed, I'll be DM'ing you or using your public contact info!

So good

The case for *total* Linux victory (desktop, mobile, server, iot, robots, embedded…): 1) Most agent-programmable People will want fully personalized computing experiences. macOS makes it hard to even ship a tiny app to your menubar. 2) Open source training data Blender beats all its competitors because it's optimal in the most important dimension: agents can train on it and use it efficiently. OSS wins. 3) Design being democratized macOS has historically had a 'monopoly' on beautiful OS design. The global design community is now huge, they're motivated, they have tokens. 4) Computing moving to cloud sandboxes More and more of our personal and professional computing experiences will come from agents that orchestrate work in the cloud, using sandboxes. Those sandboxes will be Linux. Bonus: seamless continuum between local & remote 5) Security Every piece of software is now at major risk, Linux included. But Linux has the collective investment of everyone on the planet throwing tokens at it.

"Where do you want to go today?" In 1994 Microsoft launched an ad campaign under this motto. I think it represented the potential of computing very well, but it was quite aspirational. The internet & www was in its infancy, software was hard to obtain (CDs and long downloads), programming your own computer was tricky. In fact, it was so tricky I switched to Linux in order to teach myself how to code and get true 'root' on my PC 😁 Now, I look at what AI is enabling, the limits on what you can ship vanishing, and the new worlds being created, and I realize that question is perfect for 2026.

Anyone that works in AI is working the hardest they've ever worked in their lives. On the surface it's somewhat ironic (AI should give us back time!), but the reality is that it's the most fun, fascinating and empowering epoch in human history. The intelligence revolution.

True. Open source ftw

SF is the best running city in the world. Hills galore. Perfect weather.

Astra is now the best cybersecurity model in the world on @vercel DeepsecBench. It pulls off in 49 minutes what took Sol ~4 hours, with a better score, at nearly the same cost. It's more effective and 50% cheaper than Claude Opus 5 max. https://vercel.com/ai-gateway/leaderboards/deepsecbench

これ

Super bullish on WebMCP. Much like Tesla FSD meets the world where it is (streets, stoplights, potholes and all), agents *need* to ride the existing WWW infrastructure… WebMCP makes it more efficient. Some pretty unique wins too. e.g: Next.js dev pages could expose debugging tools directly to agents in the specific tab they’re testing, with page-specific context, instead of sifting through server logs. No separate MCP server to find and configure because the page directly exposes its own 'agent tools'. e.g: in this world 𝚏𝚡 + 𝚊𝚐𝚎𝚗𝚝-𝚋𝚛𝚘𝚠𝚜𝚎𝚛 is a complete web dev stack with zero loss in debugging depth

AI software factories will yield bug-free, self-improving software

“Feedback is a gift” has always been a favorite mantra of mine and a strongly-held belief. Now it’s fact. Each piece of feedback is someone gifting you a prompt for you to give your agents to improve your product ☺️ Thankful for everyone who takes time (or tokens) to critique our products, write to us or forward your agents’ transcripts.

If you intern at Vercel, you can work on incredible projects like this one. Improving Next.js chunking can yield massive efficiency improvements at internet scale. Excellent writeup by @sam_poder

Run ▲ ~/ vercel ai-gateway coding-agents setup Points all coding agents to AI Gateway, getting you 100% uptime, observability, budgets, and ease of switching.

It took blood, sweat, and tokens

Follow @eve

Everything is code

It's truly the best time to build… 50% off on Vercel AI Gateway right now: ▸ 𝚐𝚙𝚝-𝟻.𝟼-𝚜𝚘𝚕 ▸ 𝚐𝚙𝚝-𝟻.𝟼-𝚜𝚘𝚕-𝚏𝚊𝚜𝚝 ▸ 𝚐𝚎𝚖𝚒𝚗𝚒-𝟹.𝟾-𝚏𝚕𝚊𝚜𝚑 [𝚗𝚎𝚠] ▸ 𝚐𝚕𝚖-𝟻.𝟹-𝚏𝚕𝚊𝚜𝚑 ▸ 𝚖𝚒𝚗𝚒𝚖𝚊𝚡-𝚑𝟹 ▸ 𝚖𝚒𝚗𝚒𝚖𝚊𝚡-𝚑𝟹-𝚖𝚊𝚡 https://vercel.com/ai-gateway

Excited to partner with and support @tannerlinsley and team, champion of React, open source, and the web What this means for our customers: whether you choose @nextjs or @tan_stack, we are committed to the highest quality service and support.

Fable 5.1 now on @vercel AI Gateway Try it with http://fx.sh. Every model at your fingertips 🥹

Fluid is the thing that has enabled Vercel's: ◾ Industry-leading Build performance ◾ Sandbox reliability & massive concurrency ◾ 30min Function durations (& soon longer) This unification makes the best DX possible. Shared 𝙳𝚘𝚌𝚔𝚎𝚛𝚏𝚒𝚕𝚎, security perimeters, networking, file systems, across all compute products. You already see this in some pretty unique Vercel capabilities, like our Builds and Functions being able to participate in the same Secure Compute boundary and config. Imagine the same egress Firewall features for Sandbox that prevent agent escapes, applying to your Builds, Functions and Servers. The future is one global and unified compute platform, with only known physics as the limiting factor 😊

Vercel 🤝 AWS

Your next design system is… Markdown. We wrote about how 𝙳𝙴𝚂𝙸𝙶𝙽.𝚖𝚍 is helping solve the hardest problem in AI today: slop. And how you can truly, finally scale design taste within a large organization.

Coding tokens are basically infrastructure. Yet, the way companies have approached them amounts to: "Hey all, here's an AWS key. It can spin up anything from a 𝚝𝟹.𝚗𝚊𝚗𝚘 (＄𝟹.𝟾𝟶/𝚖𝚘) to an 𝚙𝟻.𝟺𝟾𝚡𝚕𝚊𝚛𝚐𝚎 (＄𝟺𝟶𝚔/𝚖𝚘). Go wild" And obviously the reason companies don't do this for their core infra is that you need to govern, optimize, and observe usage and costs. The intern might decide to host a static website in that 192 vCPU machine, and you won't be very happy about the bill. AI Gateway fixes this for all your tokens, with per-key, and now per-user budgets.

Digital abundance

Cool

When something goes viral on the internet, especially on X, it attracts all kinds of attention. Including some of the largest botnets on the internet launching targeted DDoS, from hijacked devices and residential networks. Extremely proud of the Vercel CDN & Traffic Security teams, who protect 400,000+ customers and tens of millions of Vercel users 24x7x365.

Work so hard you can buy a Pikachu Illustrator PSA 10

Two days ago JFrog dropped CVE-2026-82329, a critical authentication bypass in Artifactory. It’s a CVSS 9.8, a disastrous vulnerability score. It’s like a 9.8 earthquake on the seismic scale. It affects default configs, requires no auth, no user interaction. It’s an RCE bomb because Artifactory hosts binaries, so you can basically poison everything, but an admin escalation can cause damage even beyond that. When the OpenAI / Hugging Face news came out of agents discovering zero-days, I was wondering if it was marketing-speak or reality, because I hadn’t seen a CVE filing. Now it’s here: https://www.cve.org/CVERecord?id=CVE-2026-82329. I don’t see any official confirmation that it’s indeed the case, but one can speculate this is what the agents discovered and exploited. I’d previously written that it was obvious agents could help in finding serious vulnerabilities *alongside humans*, but exploiting them autonomously was a bridge not yet crossed. It seems like we’re now there. Our guidance for this new world: assume everything hackable will get hacked. And it will get hacked autonomously. You must also defend yourself autonomously, because your surface of attack is likely bigger and your code more vulnerable than you expect: https://vercel.com/blog/everything-hackable-will-get-hacked

I read every DM people send me, even if I don’t reply to all. I’m constantly learning about new ideas, ways to improve our product, where we’re falling short, who could join our company next, where to invest… very grateful for the @x platform.

http://fx.sh 0.0.7: - hugely improved MCP support, eval'd with top MCPs like @context7ai, @datadoghq, @mongodb, @linear, @notionhq, @supabase, @neondatabase, @stagehanddev, @usekernel… - more minimalist: fewer tools and improved shell execution. One of the trickiest things about CLI agents is that running commands is actually not that simple. e.g: commands might hang or run for very long, their output needs to be monitorable by the agent, they might produce huge amounts of output, or none. This is an area where 𝚏𝚡 really shines and will continue to get better.

I see the web evolving in two extremes: 1️⃣ ultra-fancy human experiences, in the service of delight, exploration, brand, entertainment. http://vgpu.sh / threejs / typegpu are enabling this 2️⃣ agent-centric content, data and APIs. the opposite end of the spectrum: pure, lossless signal for machines. The rise of markdown and MCP are the tip of this iceberg The 'in between' is likely to be subsumed by agents producing just-in-time UI. When you need utilitarian content or data, it'll be generated just-in-time for you. Think of the agent as the new browser in this model.

MCP is growing explosively. And it's not just Vercel MCP… Look at 𝚖𝚌𝚙-𝚑𝚊𝚗𝚍𝚕𝚎𝚛 npm downloads, which you can use to implement MCP servers

There are many “easy” ways to create agents out there. But how many that give you a Git repo where you actually *own* the entire intelligence stack? Runtime, model choice, skills, tools, connectivity, sandbox… Easiest way to start with eve: https://vercel.com/new/agent

As models get more performant, UI gets more generative and dynamic. Excited for this trend to continue

Deploy to Vercel

https://vgpu.sh and shaders are further proof that “everything is computer”. 2D, 3D, geometry, light, materials, textures, shadows, reflections, particles, post-processing. Just programs evaluated massively in parallel over vertices and pixels. All computer.

Our best products have been exports of internal technology we gain strong conviction in. @matinotfound and team have been shipping extraordinary WebGPU creative productions, and now http://vgpu.sh is here. It’s a fully agent-native devtool: it was designed for agents, not humans alone. Much like 𝚊𝚐𝚎𝚗𝚝-𝚋𝚛𝚘𝚠𝚜𝚎𝚛, it’s part of a new exciting generation of tools to serve the new world.

CMA is a remarkably elegant architecture. The 'hard parts' of the agent are managed, but it doesn't take away from your freedom to customize. e.g: you can have a fully custom UI for your agent on @vercel with Chat SDK. Or handle custom tools with your own functions on Vercel.

So cool. Global compute at your (agents') fingertips. Multiple regions, failover, up to 10,000 concurrent sandboxes & 5,000 vCPUs/min ramp by default, with more regions to come 🫪

We're shipping a cool security dashboard, but also the 𝚟𝚎𝚛𝚌𝚎𝚕 𝚜𝚎𝚌𝚞𝚛𝚒𝚝𝚢 𝚌𝚑𝚎𝚌𝚔 CLI. Much like 𝚒𝚜-𝚊𝚐𝚎𝚗𝚝𝚒𝚌, you can call on agents to improve your security posture with human-in-the-loop, or run in crons. Who would have thunk CLIs would save the world 😁

The hardest problem in building agents is secure connectivity to services and data. Excited for Vercel Connect to be GA. Run e.g: 𝚟𝚎𝚛𝚌𝚎𝚕 𝚌𝚘𝚗𝚗𝚎𝚌𝚝 𝚌𝚛𝚎𝚊𝚝𝚎 𝚗𝚘𝚝𝚒𝚘𝚗, then get an MCP client you can query on behalf of the authenticated user.

AI Gateway can now call webhooks after long generations 😍 ① Lower compute costs (no long-running process waiting idly) ② More reliable. Gateway can take more of the processing burden ③ You can 𝚊𝚠𝚊𝚒𝚝 𝚑𝚘𝚘𝚔() in "𝚞𝚜𝚎 𝚠𝚘𝚛𝚔𝚏𝚕𝚘𝚠" to sanely consume these

One of the coolest things about gateways: managed tools. If you add 𝚎𝚡𝚊_𝚜𝚎𝚊𝚛𝚌𝚑 to your 𝚝𝚘𝚘𝚕𝚜, you give zero-setup, fast Exa search to your agents. No credentials, accounts, connections to set up, plus unified billing.

We’ve seen ISPs and telcos unjustly censor domains and even entire TLDs. A big carrier recently deemed the entire .𝚝𝚘𝚘𝚕𝚜 gTLD is “sus” so they broke every TLS handshake, and thus, all websites on it. Vercel now has another tool in fighting these blocks: SNI encryption.

It's faster, cheaper, more capable, and… smaller. As software evolves, it tends to get slower, more bloated, buggier, and bigger. https://fx.sh is architected from the outset to prevent this.

If your terminal ever gets into a 'bad state', like garbled outputs, you run 𝚛𝚎𝚜𝚎𝚝. I noticed it was… oddly slow. Turns out in 1979 3BSD's 𝚝𝚜𝚎𝚝 had a 𝚜𝚕𝚎𝚎𝚙(𝟷) to let mechanical printer-and-ink terminals 'settle down' 😂 I asked 𝚏𝚡 to write me a faster alternative in Zig. It takes 1ms instead of 1s. It was really cool to dive deeper into 𝚗𝚌𝚞𝚛𝚜𝚎𝚜, 𝚝𝚜𝚎𝚝, 𝚝𝚎𝚛𝚖𝚒𝚗𝚏𝚘, and the myriad ways in which your terminal can get… cursed. It's legit fascinating how far back our technology stack goes, and how enduring good system design is, even with the occasional 'spider webs' you can find. Check out http://github.com/rauchg/rst for a fun explainer (and some alternative solutions.) ps: once you start using 𝚏𝚡, you'll notice slowness like this everywhere :D

Intelligence is getting cheaper. @OpenAI Sol's price reductions & discounts on Vercel AI Gateway have made Sol our fastest-growing frontier model. This shows ① that the demand for intelligence is highly elastic: as inference costs fall, usage grows rapidly. ② If you're not using a gateway, you're missing out on this incredible price volatility, which lowers your operating costs and increases your margins. It's no wonder the router space has heated up… gateways are inevitable.

Our philosophy on extending 𝚏𝚡: open protocols. ∙ MCP (modelcontextprotocol⁠.io) ∙ Skills (agentskills⁠.io) ∙ Plugins (agent-plugins⁠.org) And the best one, Unix: ① Small programs that do one thing well and compose by calling other programs. ② 𝚕𝚒𝚋𝚏𝚡 that enables embeddability into more complex programs. You should be able to build your own CLI, background agent, software factory. Local or cloud.

AI can do many wonderful things and grant many wishes, but we have only one earth, one California, one Patagonia, one Mendoza. USA and Argentina are two of the freest countries that also happen to have the most glorious land and geography. I'm very long 🇺🇸🇦🇷. We're so early.

I used 𝚏𝚡 to build Mini, a personal web browser. Many times I need to screen share, stream, or just test something without the 'bloat' and state of my browser. So I go Mini. This was a cool test for http://fx.sh and open models. It was the first time I experienced how cheap, but also how *good* these things can be. 'Personal software' is a hot topic. "I spent $25,000USD to cancel my $10 XYZ subscription" is a real thing 😂 (especially in Enterprises these days). But I think open and local models will change this dynamic very profoundly. Software will really become spontaneous. ps: shoutout to Orion browser who inspired me with 'focus mode'. I wanted my browser to be even more minimal, hackable, and run on Chromium.

http://fx.sh now supports your @Grok & Codex subs Test it out on a sandbox. Instant to install:

This was wild to watch unfold. We ran 𝚒𝚜-𝚊𝚐𝚎𝚗𝚝𝚒𝚌 in a loop against http://is-agentic.com until it got to 100/100. It made us close quite a few gaps. We worked hard to make sure the criteria is high quality and worth your time & tokens.

Our Python team is making rapid progress

https://fx.sh 0.0.5 gets even smaller fits in 2 floppy disks 💾💾😁 (𝚡𝚣-compressed) shipping tomorrow with our most-asked feature!

We’re building AWS for agents

Bun’s pursuit of simple, fast & open is the perfect match for Vercel and how we think about the world. Congrats @jarredsumner on shipping!

http://fx.sh is 6.3mb. It starts up in 10µs¹. It's a Zig-compiled static ELF binary, or an even smaller 𝚕𝚒𝚋𝚏𝚡.𝚠𝚊𝚜𝚖² AI will make most infrastructure natively optimized. Case in point: fx can literally finish tasks faster than other agents can boot. Fast is a one-way street. ¹ that's microseconds ² fun fact: the wasm build is actually *smaller*. A lot of binary weight comes from the TLS/HTTP stack. In WebAssembly, fx delegates 𝚏𝚎𝚝𝚌𝚑() to the JS runtime instead. You can try this on http://fx.sh/try

I love @𝚟𝚎𝚛𝚌𝚎𝚕 on Slack. Incredible ship

SF has breathtaking views

PSA: http://fx.sh has free GLM-5.2 for 2 weeks from @blackboxai, and 50% off @ChatGPT Sol for a month if you use ▲ AI Gateway. Sol is a brainiac, GLM-5.2 is a workhorse. Usage is much higher than we anticipated. We're working on adding more GLM capacity!

I’ve been using http://fx.sh as my daily driver and it’s a one-way street. It’s 10-20x smaller than the major coding CLIs. It starts up instantaneously. It feels more like using 𝚣𝚜𝚑 than an IDE in your terminal. It’s embeddable anywhere, even your browser via WebAssembly. And of course it’s open source and model-agnostic. It’s experimental, but give it a shot and let us know how it goes!

Your software factory should be a monorepo. All your company context (design, marketing, sales, engineering, support…) in one place for agents to build upon

We are putting $1M towards verifying the security of Vercel Sandbox, in the open. You're free to test any model in the world to try and find an escape. I'm looking forward to bringing transparency to what frontier models can and cannot do in terms of real-world guardrail exploitability. If escapes are discovered, we'll be ready to patch, iterate, and share our findings with the broader community to strengthen global cybersecurity.

Every idea you shelved as "too ambitious" is now back in play

You can now host your repos in Cursor Origin and deploy to Vercel via Cursor Origin which is itself hosted on Vercel. And unlike GitHub, it's online 😁

Wow

https://xn--c1h.to

We ran evals on GLM 5.3 cybersecurity capabilities. It's the new open frontier. Given its lower costs, I expect this to be a boon for defensive security work. e.g., it means you can run https://deepsec.sh at least 3× more often!

Recursive self improvement

Impressive

I think people don’t realize how much of the success of React is actually @shadcn. I once referred to React as the actual “LEGO brick for adults.” But in reality it was more the description of the geometry of the bricks. The spec. Shadcn is what people actually wanted from React. Reusable high quality components that also tunable. It’s a pseudo-library. There’s code but it’s actually meant to be digested into your context window and remixed.

I’m interested in finding and funding the next Disney. True to its original values, focused on the American spirit. Merit, family, overcoming of adversity, optimism, the pursuit of happiness. AI makes everyone able to create. What will define our next generation is *what* we create with it. The next icons. The next unique brand that goes further than how it’s drawn or rendered. Mickey Mouse survived several technological revolutions because of what it represented. I think most big entertainment companies have forgotten that. If you’re creating something cool in this space and need help, technologically or financially, slide into my DMs.

I’m interesting in finding and funding the next Disney. True to its original values, focused on the American spirit. Merit, family, overcoming of adversity, optimism, the pursuit of happiness. AI makes everyone able to create. What will define our next generation is *what* we create with it. The next icons. The next unique brand that goes further than how it’s drawn or rendered. Mickey Mouse survived several technological revolutions because of what it represented. I think most big entertainment companies have forgotten that. If you’re creating something cool in this space and need help, technologically or financially, slide into my DMs.

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