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$ aix built a CLI with AI SDK/Vercel AI Gateway ▪️ Thinking text animation in ANSI ✨ ▪️ Set `AI_GATEWAY_API_KEY` and works ▪️ 100s of models (e.g.: `-m openai/gpt-4o`) It's like a mini-`claude`, purpose built for quickly running commands. Has some nice safety measures built-in. Used this as my...

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Guillermo Rauch

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53,688 просмотров • 1 год назад •via X (Twitter)

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I built an infinite AI chess game, powered by: ▪️ AI SDK for a single DX to all frontier models ▪️ AI Gateway for seamless access with 1 API key ▪️ Workflow to keep the game going forever Right now Anthropic is playing OpenAI:
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I built an infinite AI chess game, powered by: ▪️ AI SDK for a single DX to all frontier models ▪️ AI Gateway for seamless access with 1 API key ▪️ Workflow to keep the game going forever Right now Anthropic is playing OpenAI:

Guillermo Rauch

246,175 просмотров • 7 месяцев назад

We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with OpenAI to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓
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We shipped an OSS 'vibe coding platform' (like v0) built with Vercel AI SDK, Gateway and Sandbox. We worked with OpenAI to tune the GPT-5 agent loop. It can write/read files, run commands, install packages, autofix errors… Demo oneshotting a multiplayer Pong in Go ↓

Guillermo Rauch

794,066 просмотров • 11 месяцев назад

Vercel AI Gateway now supports video generation. Grok Imagine Video & Image are 🆓 until tomorrow. We used v0 to create an open source Creative Studio powered by xAI Grok. Create images, videos, or make your own design tool! – it's quite fast. Some cool technical tidbits: ▪️ Vercel Workflows for reliable generation Video generation can take long. Users might restart their browsers or their wifi / LTE might drop. We smooth over that automatically. ▪️ Instant vector search Try searching the public generations. Now back to me. We used Mixedbread to index the content visually, so you can search 𝚋𝚕𝚊𝚌𝚔 𝚏𝚎𝚕𝚒𝚗𝚎 and get a cat (try it!) ▪️ Vercel AI Gateway All existing and future Grok models are accessible via our gateway without extra setup. When you deploy to Vercel, you get access to hundreds of models with a single account and unified billing It's obviously built with Next.js (RSC). Open it in v0 to make it your own! h/t Esteban Suárez for shipping this.
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Vercel AI Gateway now supports video generation. Grok Imagine Video & Image are 🆓 until tomorrow. We used v0 to create an open source Creative Studio powered by xAI Grok. Create images, videos, or make your own design tool! – it's quite fast. Some cool technical tidbits: ▪️ Vercel Workflows for reliable generation Video generation can take long. Users might restart their browsers or their wifi / LTE might drop. We smooth over that automatically. ▪️ Instant vector search Try searching the public generations. Now back to me. We used Mixedbread to index the content visually, so you can search 𝚋𝚕𝚊𝚌𝚔 𝚏𝚎𝚕𝚒𝚗𝚎 and get a cat (try it!) ▪️ Vercel AI Gateway All existing and future Grok models are accessible via our gateway without extra setup. When you deploy to Vercel, you get access to hundreds of models with a single account and unified billing It's obviously built with Next.js (RSC). Open it in v0 to make it your own! h/t Esteban Suárez for shipping this.

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The Voice AI receptionist I'm having a conversation with in this video was built by Claude Code.. I installed VAPI skills and Claude handled the rest. It's important to mention, I was having dinner while Claude Built this for me. This is the future of work.
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The Voice AI receptionist I'm having a conversation with in this video was built by Claude Code.. I installed VAPI skills and Claude handled the rest. It's important to mention, I was having dinner while Claude Built this for me. This is the future of work.

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Today i'm Open Sourcing "Rilable" The iOS app that builds Web apps and iOS Apps. I built it with Fable 5 in 10 prompts. (~ $210 in tokens on API pricing) All apps are built with Claude Models, and every app spins up a sandbox (Exactly like Lovable) using Daytona. Database is Convex. The app allows you to build apps that have AI features for this it uses Vercel AI gateway, and iOS apps are using Chorus.com iOS skill (All links below)
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Today i'm Open Sourcing "Rilable" The iOS app that builds Web apps and iOS Apps. I built it with Fable 5 in 10 prompts. (~ $210 in tokens on API pricing) All apps are built with Claude Models, and every app spins up a sandbox (Exactly like Lovable) using Daytona. Database is Convex. The app allows you to build apps that have AI features for this it uses Vercel AI gateway, and iOS apps are using Chorus.com iOS skill (All links below)

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🍏 Tim Cook held his final presentation as Apple CEO At WWDC 2026, Apple put artificial intelligence front and center, unveiling Siri AI — a new assistant powered by Google's Gemini model. Here's what else was announced: ▪️ Siri AI will be integrated across all iOS apps; ▪️ AI will be able to search files, analyze documents, and edit photos; ▪️ iOS 27 will be available on iPhones starting with the iPhone 11; ▪️ Expanded parental controls are coming to the system; ▪️ The Passwords app will automatically replace compromised passwords; ▪️ The Calendar app will gain menstrual cycle tracking; ▪️ AirPods will get a built-in equalizer. What do you think — a real breakthrough or is Apple running out of ways to impress? 🤔📱
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🍏 Tim Cook held his final presentation as Apple CEO At WWDC 2026, Apple put artificial intelligence front and center, unveiling Siri AI — a new assistant powered by Google's Gemini model. Here's what else was announced: ▪️ Siri AI will be integrated across all iOS apps; ▪️ AI will be able to search files, analyze documents, and edit photos; ▪️ iOS 27 will be available on iPhones starting with the iPhone 11; ▪️ Expanded parental controls are coming to the system; ▪️ The Passwords app will automatically replace compromised passwords; ▪️ The Calendar app will gain menstrual cycle tracking; ▪️ AirPods will get a built-in equalizer. What do you think — a real breakthrough or is Apple running out of ways to impress? 🤔📱

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It’s hard to imagine more of a dream Unsupervised Learning guest than Yann LeCun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: Spotify: Apple:
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It’s hard to imagine more of a dream Unsupervised Learning guest than Yann LeCun. Yann is one of the godfathers of AI, and he has some fascinating contrarian views on the limitations of LLMs. It was incredible to get to have a wide-ranging discussion with Yann about these views, reflections on his time at Meta and departure and what’s next for him. We hit on: ▪️ LLM limitations and a path forward for robotics ▪️ Why he left Meta ▪️ How he came to so dramatically disagree with his Turing co-laureates Geoff Hinton and Yoshua Bengio on LLMs ▪️ His predictions for 2027 ▪️ His new company AMI and the bet on world models ▪️ Why he compares OpenAI and Anthropic to Sun Microsystems ▪️ Why he tells PhD students to stop working on LLMs Plus some sharp views on the current safety discourse, how breakthrough research actually happens and what FAIR got right and wrong. YouTube: Spotify: Apple:

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Svan M2: India's first commercial quadruped (4-legged) robot, designed and developed by IIT Kanpur incubated xTerra Robotics ✔️Mobility: Engineered for traversing uneven, unstructured environments like industrial sites and disaster zones. ▪️Design: 12-actuated degrees of freedom (DoF) with QDD A2 actuators. ▪️Payload & Weight: Weighs 11 kg and supports a ~5 kg payload. ▪️Speed: Capable of reaching speeds up to 1 m/s. ▪️Control: Features AI-powered navigation, mapping, and planning, with options for remote joystick control. ▪️Sensors & Connectivity: Equipped with an IMU, joint encoders, and built-in 2.4 GHz WiFi. ✔️Power: Powered by a 240 Wh Li-polymer battery.
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Svan M2: India's first commercial quadruped (4-legged) robot, designed and developed by IIT Kanpur incubated xTerra Robotics ✔️Mobility: Engineered for traversing uneven, unstructured environments like industrial sites and disaster zones. ▪️Design: 12-actuated degrees of freedom (DoF) with QDD A2 actuators. ▪️Payload & Weight: Weighs 11 kg and supports a ~5 kg payload. ▪️Speed: Capable of reaching speeds up to 1 m/s. ▪️Control: Features AI-powered navigation, mapping, and planning, with options for remote joystick control. ▪️Sensors & Connectivity: Equipped with an IMU, joint encoders, and built-in 2.4 GHz WiFi. ✔️Power: Powered by a 240 Wh Li-polymer battery.

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Building and prototyping games is easier than ever with Sidekick. Our designer built a 3D version of this OpenAI GPT-o1 game demo in <1 hour. Used Autodesk Maya for assets, Unity for engine, @bezi_3d Sidekick for scripting & implementation. Sidekick analyzes your project for real-time context of the asset folder, scene objects, components, and more. This allows it to implement simple mechanics—like movement controls and basic physics—for your characters and objects in seconds. It's the AI tool built by game developers, for game developers.
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Building and prototyping games is easier than ever with Sidekick. Our designer built a 3D version of this OpenAI GPT-o1 game demo in <1 hour. Used Autodesk Maya for assets, Unity for engine, @bezi_3d Sidekick for scripting & implementation. Sidekick analyzes your project for real-time context of the asset folder, scene objects, components, and more. This allows it to implement simple mechanics—like movement controls and basic physics—for your characters and objects in seconds. It's the AI tool built by game developers, for game developers.

Bezi

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At OpenAI, Chief Scientist Jakub Pachocki helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: Spotify: Apple: 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire
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At OpenAI, Chief Scientist Jakub Pachocki helps lead the research roadmap to AGI including a research intern-level AI system by September 2026 and a fully automated AI researcher by March 2028. I sat down with Jakub to check on those timelines and ask him all of my top-of-mind AI questions including: ▪️ How OpenAI thinks about extending RL beyond code and math ▪️ The current state of alignment research as more powerful models loom ▪️ The future of continual learning ▪️ How startups should think about building their own models/harnesses And he also shared some great stories around OpenAI’s pioneering work on math. YouTube: Spotify: Apple: 0:00 Intro 1:53 Research Intern Capability Timelines 4:59 Math Breakthroughs 7:59 RL Beyond Verifiable Tasks 12:32 RL vs In-Context 19:01 Allocating Compute Internally 28:18 AI for Science 31:40 Pattern Matching 33:23 Solving the Hardest Math Problems 37:40 Chain of Thought Monitoring 44:33 Generalization and Value Alignment in Models 47:57 Inside OpenAI 51:55 Quickfire

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Enterprise developers, first look: Enterprises want AI, but can’t ship it. Why? Compliance risk, legacy systems, red tape. 🎯 Enter Iridius AI — a “Solution Factory” that lets devs + execs co-create full AI apps (not just agents) that are: ✅ Compliant by design ✅ Modular + scalable ✅ Multimodal (text, sketch, convo) ✅ Audit-ready with transparency cards ✅ Plug-in-anywhere (GPT-4o, Gemini, Claude, internal LLMs) 👀 Think Palantir for the AI-native era — but multi-agent, open, and fast. Built by ex-Microsoft, OpenAI forum leads, and startup vets. 💥 Demo: They built a claims automation app live—docs → agents → connectors → BPMN → code → compliance checks → deploy. This is the last mile for enterprise AI. Learn more at
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Enterprise developers, first look: Enterprises want AI, but can’t ship it. Why? Compliance risk, legacy systems, red tape. 🎯 Enter Iridius AI — a “Solution Factory” that lets devs + execs co-create full AI apps (not just agents) that are: ✅ Compliant by design ✅ Modular + scalable ✅ Multimodal (text, sketch, convo) ✅ Audit-ready with transparency cards ✅ Plug-in-anywhere (GPT-4o, Gemini, Claude, internal LLMs) 👀 Think Palantir for the AI-native era — but multi-agent, open, and fast. Built by ex-Microsoft, OpenAI forum leads, and startup vets. 💥 Demo: They built a claims automation app live—docs → agents → connectors → BPMN → code → compliance checks → deploy. This is the last mile for enterprise AI. Learn more at

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over the weekend i built and shipped Sentra for our docs. we use Mintlify for documentation. the built-in assistant kept running into context issues. wrong answers, missing context, no citations. so we extended Sentra's capability to the docs site directly. now when you're reading Dodo Payments docs, you can ask Sentra questions right there. it pulls context from our entire documentation via RAG (the same contextmcp (completely opensource) + Pinecone vector search with reranking), generates grounded answers, and cites the exact doc pages. built as a single Cloudflare Worker serving both the widget and the chat endpoint. React widget bundled into one self-contained IIFE, mounted in Shadow DOM so it doesn't conflict with Mintlify's styles. OpenAI models routed through Cloudflare AI Gateway. Vercel's AI SDK for streaming and shadcn for beautiful chat components. live now at
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over the weekend i built and shipped Sentra for our docs. we use Mintlify for documentation. the built-in assistant kept running into context issues. wrong answers, missing context, no citations. so we extended Sentra's capability to the docs site directly. now when you're reading Dodo Payments docs, you can ask Sentra questions right there. it pulls context from our entire documentation via RAG (the same contextmcp (completely opensource) + Pinecone vector search with reranking), generates grounded answers, and cites the exact doc pages. built as a single Cloudflare Worker serving both the widget and the chat endpoint. React widget bundled into one self-contained IIFE, mounted in Shadow DOM so it doesn't conflict with Mintlify's styles. OpenAI models routed through Cloudflare AI Gateway. Vercel's AI SDK for streaming and shadcn for beautiful chat components. live now at

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I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):
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I'm excited to introduce my AI Machine Learning Agent that built 32 ML models in 30 seconds. Today, I'll share with you how to automate building 100s of ML models with the AI ML Agent, which is available on GitHub. We'll create an ML Agent focusing on a Customer Churn Problem. I'll guide you through setting up the ML Agent, creating dozens of ML models, and loading the best model for production. This AI is a huge time-saver! Table of Contents: 00:00 Introduction to my AI Data Science Team 02:56 Setting Up AI Data Science Team 04:48 Running the ML Agent Code 07:12 Create (and Run) the AI Machine Learning Agent 09:53 Reviewing ML Model Summary 12:00 Saving and Loading Models 13:00 Next Steps + Project Roadmap + AI Bootcamp Github to AI Data Science Team (Army of Copilots): Get the Code and Future Updates by Joining my Python AI/ML Tips Newsletter: P.S. - Want to learn how to build AI projects companies actually want? (live Python Code) On Wednesday, January 29th, I'm sharing one of my best AI Projects: Time Series Forecasting with AI Register here (1570+ registered):

Matt Dancho (Business Science)

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Dr. Karp on what's behind Palantir's dominance in AI 👇🏻 "we were years ahead for lots of reasons, anticipating what operational AI would mean, meaning AI where you make more money or your revenue goes up and your costs go down. Our platforms are built to use large language models and machine learning in a way in that is actually operationally effective... [we] built this thing called an ontology, which manages large language models in a way where they become crazily useful, both commercially and actually on the battlefield."
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Dr. Karp on what's behind Palantir's dominance in AI 👇🏻 "we were years ahead for lots of reasons, anticipating what operational AI would mean, meaning AI where you make more money or your revenue goes up and your costs go down. Our platforms are built to use large language models and machine learning in a way in that is actually operationally effective... [we] built this thing called an ontology, which manages large language models in a way where they become crazily useful, both commercially and actually on the battlefield."

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We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.
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We’re excited to partner with OpenAI to launch their new open source models natively on Databricks! gpt-oss sets a new standard of quality for open language models, supporting advanced reasoning with the transparency, flexibility and control enterprises need. Running on Databricks, the gpt-oss models connect securely to your data and scale with built-in governance, and expand what you can build and do with GenAI. Try both the 20B and 120B today in the Mosaic AI Playground.

Databricks

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