Description
The Age of AI World Models is Here 🎮 Try it online: https://reactor.inc/lingbot-world-v2 👉 Latest AI News, AI Tools and AI Prompts: https://franklineh.com 🔥 Join the newsletter free. No spam. Ever. https://franklineh.com/newsletter In this video, I’m showing you a massive breakthrough in AI: real-time playable world models. We’re moving beyond just generating static text or videos to creating entire interactive environments on the fly. I’m deep-diving into Lingbot World 2.0, an open-source world model that lets you generate and inhabit unique 3D spaces in real-time at 720p 60fps. From riding a horse in a fantasy realm to walking a banana through a busy street, I'll show you how this tech understands physics purely from pixels. The best part? It has open weights, no waitlists, and can even run on a single consumer-grade GPU. I'll walk you through the live demo, the sandbox mode, and show you exactly how to start building your own AI worlds today. ━━━━━━━━━━ 🔗 SHOW LINKS ━━━━━━━━━━ 🎮 Try it online: https://reactor.inc/lingbot-world-v2 💻 Github: https://github.com/Robbyant/lingbot-world-v2 🤗 Weights: https://huggingface.co/collections/robbyant/lingbot-world-v2 🌐 Website-with videos you can use : https://technology.robbyant.com/lingbot-world-v2 ━━━━━━━━━━ 📚 CHAPTERS ━━━━━━━━━━ 0:00 - The shift from video generation to playable worlds 0:24 - Live demo: Exploring a fantasy world in real-time 0:45 - Sandbox mode and custom reference images 1:23 - How to edit the world (Sky on Fire) 1:45 - Introducing Lingbot World 2.0 (Open weights & GitHub) 2:08 - Technical specs: 720p at 60 FPS 2:45 - The "Brains": Vision Language Models & Director Agents 3:05 - Physics and memory limitations 3:23 - Prompting a custom world: Banana in a baseball cap 3:45 - Running on consumer-grade GPUs 4:05 - Deep dive into the white paper & data pipeline 5:18 - Passive video generation vs. Active sandbox 5:41 - How to use the live demo (Presets & Controls) 6:47 - Generating a custom world from scratch: Destroyed City 8:11 - Dashboard & Open Sandbox overview 8:32 - Final thoughts: The future of research-led AI videos