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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 görüntüleme • 1 yıl önce •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 görüntüleme • 8 ay önce

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

794,422 görüntüleme • 1 yıl önce

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.

Guillermo Rauch

15,875,350 görüntüleme • 7 ay önce

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.
1:43

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.

Damola | AI & Automation

15,048 görüntüleme • 5 ay önce

Introducing the Rive CLI and RML. A command-line tool and a text format for building Rive files with your AI agent. Everything in this video was built by agents working with a person in the Rive CLI.
0:31

Introducing the Rive CLI and RML. A command-line tool and a text format for building Rive files with your AI agent. Everything in this video was built by agents working with a person in the Rive CLI.

Rive

102,160 görüntüleme • 13 gün önce

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)

Riley Brown

72,248 görüntüleme • 3 ay önce

Cyber defense is entering the superintelligence era. ⚡ Introducing the CrowdStrike Cyber Superintelligence Lab, the first frontier AI research organization built for cyberdefense and AI safety. The Lab delivers CrowdStrike SafeMind, a family of purpose-built security models and harnesses. SafeMind runs as one system designed to deliver AI safety: an offensive model that finds the attack path, a defensive model that closes it, and the harnesses that operate both in the same loop. Built using NVIDIA Nemotron open models and using CoreWeave’s AI Cloud for training and inference, SafeMind goes beyond AI that simply identifies threats, it defeats them. Learn more:
0:27

Cyber defense is entering the superintelligence era. ⚡ Introducing the CrowdStrike Cyber Superintelligence Lab, the first frontier AI research organization built for cyberdefense and AI safety. The Lab delivers CrowdStrike SafeMind, a family of purpose-built security models and harnesses. SafeMind runs as one system designed to deliver AI safety: an offensive model that finds the attack path, a defensive model that closes it, and the harnesses that operate both in the same loop. Built using NVIDIA Nemotron open models and using CoreWeave’s AI Cloud for training and inference, SafeMind goes beyond AI that simply identifies threats, it defeats them. Learn more:

CrowdStrike

58,094 görüntüleme • 22 gün önce

🍏 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? 🤔📱

NEXTA

73,276 görüntüleme • 3 ay önce

The Neon backend is GA. A complete set of primitives for apps and agents built around the database, with open standards, no lock-in, and branching-first by design. Starting with: Lakebase Postgres, Object Storage, Functions, Managed Better Auth, and AI Gateway. More to come.
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The Neon backend is GA. A complete set of primitives for apps and agents built around the database, with open standards, no lock-in, and branching-first by design. Starting with: Lakebase Postgres, Object Storage, Functions, Managed Better Auth, and AI Gateway. More to come.

Neon

26,620 görüntüleme • 6 gün önce

"As a proprietary model builder, you're kind of starting to get squeezed in.” That's Igor Babuschkin’s take on where the biggest AI labs stand today. He explains how you need the models to get way better to keep margin, but at some level they may be too sensitive to release. This week, I sat down with Igor on Unsupervised Learning. It was a fascinating conversation with someone who has real perspective on the questions everyone in AI is asking right now. From DeepMind's StarCraft project to early reasoning work at OpenAI to co-founding xAI, Igor has had a front-row seat to nearly every major AI breakthrough. He's now the co-founder of River AI, building individualized, locally-run AI models. We discuss: ▪️Why proprietary model labs might be in trouble ▪️What it's like working with Elon ▪️Building Colossus in 120 days ▪️Should enterprises train their own models ▪️What’s left for humans as models get better ▪️Why he left xAI to bet on personal local AI instead ▪️The three bets River is taking ▪️What's stopping AI from moving beyond coding ▪️Reflections on the rapid pace of the past years 0:00 Intro 1:17 Writing Fiction on Where AI Is Headed 4:46 Cracking Agents Beyond Coding 10:29 Why Igor Left to Start River 12:22 River's Three Big Bets 18:06 Weights vs. Memory: The Personalization Debate 22:04 Should Enterprises Train Their Own Models? 25:10 Are Proprietary Labs Losing Their Edge? 32:16 The China Open-Source Problem 44:19 The Elon Call That Started xAI 50:18 Thoughts on Cursor Acquisition 52:16 What's Actually Bottlenecking AI 56:55 Humans, Machines, and Staying Relevant 1:01:29 Igor's Odds This All Goes Well YouTube: Spotify: Apple:
1:04:14

"As a proprietary model builder, you're kind of starting to get squeezed in.” That's Igor Babuschkin’s take on where the biggest AI labs stand today. He explains how you need the models to get way better to keep margin, but at some level they may be too sensitive to release. This week, I sat down with Igor on Unsupervised Learning. It was a fascinating conversation with someone who has real perspective on the questions everyone in AI is asking right now. From DeepMind's StarCraft project to early reasoning work at OpenAI to co-founding xAI, Igor has had a front-row seat to nearly every major AI breakthrough. He's now the co-founder of River AI, building individualized, locally-run AI models. We discuss: ▪️Why proprietary model labs might be in trouble ▪️What it's like working with Elon ▪️Building Colossus in 120 days ▪️Should enterprises train their own models ▪️What’s left for humans as models get better ▪️Why he left xAI to bet on personal local AI instead ▪️The three bets River is taking ▪️What's stopping AI from moving beyond coding ▪️Reflections on the rapid pace of the past years 0:00 Intro 1:17 Writing Fiction on Where AI Is Headed 4:46 Cracking Agents Beyond Coding 10:29 Why Igor Left to Start River 12:22 River's Three Big Bets 18:06 Weights vs. Memory: The Personalization Debate 22:04 Should Enterprises Train Their Own Models? 25:10 Are Proprietary Labs Losing Their Edge? 32:16 The China Open-Source Problem 44:19 The Elon Call That Started xAI 50:18 Thoughts on Cursor Acquisition 52:16 What's Actually Bottlenecking AI 56:55 Humans, Machines, and Staying Relevant 1:01:29 Igor's Odds This All Goes Well YouTube: Spotify: Apple:

Jacob Effron

168,340 görüntüleme • 1 ay önce

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:
1:21:56

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:

Jacob Effron

211,609 görüntüleme • 4 ay önce

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.
4:12

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.

Defence Decode®

25,405 görüntüleme • 7 ay önce

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.
0:42

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

15,295 görüntüleme • 1 yıl önce

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
58:45

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

Jacob Effron

138,391 görüntüleme • 5 ay önce

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
48:18

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

Robert Scoble

60,316 görüntüleme • 1 yıl önce