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1/5 🧵 Three.js Blocks Physics demos are live 🚀 Three.js-first API, WebGL fallback ✅. Native Mesh/InstancedMesh/BatchedMesh integration. Runs in a Service Worker with instant SharedArrayBuffer sync. Physics is just so fast. Surf Mode is getting better, try it! 👀🎮

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Renaud

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35,405 views • 6 months ago •via X (Twitter)

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🕹️ Paris-based creative studio Little Workshop (Little Workshop) just reminded us why browser-based 3D experiences still have so much untapped potential. For Netlify's 5 million developer milestone, they built a full Marble Madness-inspired game that runs flawlessly in the browser. The technical execution is impressive: → Three.js + custom render pipeline for WebGL → Rapier physics engine (Rust via WASM) → Unity → Blender → GLTF pipeline for level design → CSS 3D transforms for UI overlays → Smart keyboard API usage for international layout support. Give it a run. It's both fun and informative. #WebGL #GameDev #ThreeJS #CreativeCoding #Netlify
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🕹️ Paris-based creative studio Little Workshop (Little Workshop) just reminded us why browser-based 3D experiences still have so much untapped potential. For Netlify's 5 million developer milestone, they built a full Marble Madness-inspired game that runs flawlessly in the browser. The technical execution is impressive: → Three.js + custom render pipeline for WebGL → Rapier physics engine (Rust via WASM) → Unity → Blender → GLTF pipeline for level design → CSS 3D transforms for UI overlays → Smart keyboard API usage for international layout support. Give it a run. It's both fun and informative. #WebGL #GameDev #ThreeJS #CreativeCoding #Netlify

WebGL / WebGPU

18,949 views • 7 months ago

🚀 I'm launching r3f-webgpu-perf today! "npm i r3f-webgpu-perf" One thing I missed while working with WebGPU in React Three Fiber was a performance monitor similar to r3f-perf. The existing tool is fantastic, but it doesn’t support the WebGPU renderer yet. So I decided to build one. ✅ Supports both WebGL and WebGPU ✅ Modern and customizable UI ✅ Lightweight and easy to integrate ✅ Built specifically for React Three Fiber My goal is to turn r3f-webgpu-perf into more than just a metrics dashboard. I want it to become a learning tool that provides real-time optimization suggestions based on the techniques I’ve developed while building hundreds of interactive 3D projects over the last two decades. A vanilla Three.js version is also planned. If you’re building with Three.js, React Three Fiber, or WebGPU, I’d love for you to try it and share your feedback. ⭐ GitHub: 📦 NPM: Every GitHub star helps make the tool better for the entire community. #threejs #creativecoding #webgpu #r3f
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🚀 I'm launching r3f-webgpu-perf today! "npm i r3f-webgpu-perf" One thing I missed while working with WebGPU in React Three Fiber was a performance monitor similar to r3f-perf. The existing tool is fantastic, but it doesn’t support the WebGPU renderer yet. So I decided to build one. ✅ Supports both WebGL and WebGPU ✅ Modern and customizable UI ✅ Lightweight and easy to integrate ✅ Built specifically for React Three Fiber My goal is to turn r3f-webgpu-perf into more than just a metrics dashboard. I want it to become a learning tool that provides real-time optimization suggestions based on the techniques I’ve developed while building hundreds of interactive 3D projects over the last two decades. A vanilla Three.js version is also planned. If you’re building with Three.js, React Three Fiber, or WebGPU, I’d love for you to try it and share your feedback. ⭐ GitHub: 📦 NPM: Every GitHub star helps make the tool better for the entire community. #threejs #creativecoding #webgpu #r3f

Anderson Mancini

23,606 views • 1 month ago

TWO DEVS BUILT A FULL MULTIPLAYER 3D GAME WITH WEBGL + THREE.JS - IN 5.7MB. NO UNITY. NO INSTALL. "Messenger" by Abeto is a planetary-delivery game: you're a kid on a tiny round world, dropping off mail, bumping into real players, waving with emojis. It runs entirely in a browser tab. The part that breaks your brain is the size. The whole thing loads in ~5.7MB. Not 5.7GB. Megabytes. You click a link and you're already playing - no download, no launcher, no account. what's under the hood: → WebGL + Three.js as the core - no Unity, no Godot → three-mesh-bvh for fast collisions on the curved planet → 3D models in Houdini + Blender, textures from Substance → real-time multiplayer over WebSockets on Node.js → lo-fi soundtrack streamed in, not bundled for scale: → AAA games ship at 50-150GB → this is ~10,000× lighter → install time for most 3D games: minutes → this: ~0 seconds → platform needed: none. it's a URL. We spent a decade saying "real games need a 100GB download and a gaming rig." A two-person studio just shipped a multiplayer 3D world that fits in the size of a few photos and opens in a tab. The browser quietly became a game console. Most people haven't noticed yet. 🔗 Link:
1:10

TWO DEVS BUILT A FULL MULTIPLAYER 3D GAME WITH WEBGL + THREE.JS - IN 5.7MB. NO UNITY. NO INSTALL. "Messenger" by Abeto is a planetary-delivery game: you're a kid on a tiny round world, dropping off mail, bumping into real players, waving with emojis. It runs entirely in a browser tab. The part that breaks your brain is the size. The whole thing loads in ~5.7MB. Not 5.7GB. Megabytes. You click a link and you're already playing - no download, no launcher, no account. what's under the hood: → WebGL + Three.js as the core - no Unity, no Godot → three-mesh-bvh for fast collisions on the curved planet → 3D models in Houdini + Blender, textures from Substance → real-time multiplayer over WebSockets on Node.js → lo-fi soundtrack streamed in, not bundled for scale: → AAA games ship at 50-150GB → this is ~10,000× lighter → install time for most 3D games: minutes → this: ~0 seconds → platform needed: none. it's a URL. We spent a decade saying "real games need a 100GB download and a gaming rig." A two-person studio just shipped a multiplayer 3D world that fits in the size of a few photos and opens in a tab. The browser quietly became a game console. Most people haven't noticed yet. 🔗 Link:

ZEUS⚡️

50,596 views • 1 month ago

Why the character movement in my custom game engine felt janky and how I fixed it. In a game engine, most often, a character moves using the physics engine. Meaning, the player is not just a coordinate in space but a physical body. It has velocity, it handles collisions, and it interacts with the world. Now, as you might know, physics engines need stability. If you run them at variable framerates, things start breaking. Objects phase through walls or fly off into space because the math becomes unpredictable. This is why most game engines lock their physics loop to a 60Hz fixed rate. But here’s the problem: If you have a high-end system, you don't want to limit it at 60 FPS. That's a waste of good hardware. Now, that said, if the GPU is rendering at 144 FPS but the player's position (physics driven) only updates 60 times a second, it creates a micro-stutter that ruins the "smooth" feel of the game. A good way to fix this is to treat the character as two separate things: 1. The Physics Body (Invisible part): This is the "real" character. It lives in the 60Hz physics world, it moves the player and handles collisions. 2. The Visual Model and Camera (Visible part): This is what the player actually sees. It doesn't care about collisions, its only job is to look nice and smooth at whatever framerate the GPU is pushing. Once you have this separation, you can use interpolation to keep them in sync. Every time the physics clock ticks, you save the previous position of the invisible body before moving it to the new one. Between those ticks, calculate how far we are between the last physics update and the next one. By using this to drive the visible parts of the game, the stutters disappear. The physics loop stays fixed behind the scenes, while the visuals slide smoothly between the snapshots. Example: - Right after a tick: blend_weight= 0.0 (The visual model stays at the old physics position). - Halfway to the next: blend_weight= 0.5 (The visual model slides to the middle point). - Just before the next: blend_weight= 0.9 (The visual model is almost at the new physics position). Pro-Tip A critical mistake I made initially, and one many devs make, is parenting the camera and visible parts directly to the player body. If you do this, the camera inherits the discrete 60Hz physics movement by default. In that setup, interpolation won't work because the camera is "stuck" to the physics clock. For this fix to work you must decouple the camera and visuals from the body and move them separately. Player movement processing in Detis Engine: - fixed_process: Physics runs at 60Hz. Handles collisions and raw movement. - process: Variable rate. Mainly used for player input caching in the player case. - late_process: Variable rate. Handles interpolated camera movement after physics and everything else is done being processed. - render. Submits the final interpolated transforms to the GPU. The test environment in the video is running on an old 2070-based laptop. Hopefully the video compression won't introduce any stutter... I’m sharing this in hopes it helps a fellow dev. Cheers.
0:23

Why the character movement in my custom game engine felt janky and how I fixed it. In a game engine, most often, a character moves using the physics engine. Meaning, the player is not just a coordinate in space but a physical body. It has velocity, it handles collisions, and it interacts with the world. Now, as you might know, physics engines need stability. If you run them at variable framerates, things start breaking. Objects phase through walls or fly off into space because the math becomes unpredictable. This is why most game engines lock their physics loop to a 60Hz fixed rate. But here’s the problem: If you have a high-end system, you don't want to limit it at 60 FPS. That's a waste of good hardware. Now, that said, if the GPU is rendering at 144 FPS but the player's position (physics driven) only updates 60 times a second, it creates a micro-stutter that ruins the "smooth" feel of the game. A good way to fix this is to treat the character as two separate things: 1. The Physics Body (Invisible part): This is the "real" character. It lives in the 60Hz physics world, it moves the player and handles collisions. 2. The Visual Model and Camera (Visible part): This is what the player actually sees. It doesn't care about collisions, its only job is to look nice and smooth at whatever framerate the GPU is pushing. Once you have this separation, you can use interpolation to keep them in sync. Every time the physics clock ticks, you save the previous position of the invisible body before moving it to the new one. Between those ticks, calculate how far we are between the last physics update and the next one. By using this to drive the visible parts of the game, the stutters disappear. The physics loop stays fixed behind the scenes, while the visuals slide smoothly between the snapshots. Example: - Right after a tick: blend_weight= 0.0 (The visual model stays at the old physics position). - Halfway to the next: blend_weight= 0.5 (The visual model slides to the middle point). - Just before the next: blend_weight= 0.9 (The visual model is almost at the new physics position). Pro-Tip A critical mistake I made initially, and one many devs make, is parenting the camera and visible parts directly to the player body. If you do this, the camera inherits the discrete 60Hz physics movement by default. In that setup, interpolation won't work because the camera is "stuck" to the physics clock. For this fix to work you must decouple the camera and visuals from the body and move them separately. Player movement processing in Detis Engine: - fixed_process: Physics runs at 60Hz. Handles collisions and raw movement. - process: Variable rate. Mainly used for player input caching in the player case. - late_process: Variable rate. Handles interpolated camera movement after physics and everything else is done being processed. - render. Submits the final interpolated transforms to the GPU. The test environment in the video is running on an old 2070-based laptop. Hopefully the video compression won't introduce any stutter... I’m sharing this in hopes it helps a fellow dev. Cheers.

Ioannis Koukourakis

48,636 views • 6 months ago

🎮 Game "Run or Die" is about to launch, 🚀 🛠️ PVP clashes, winners split the tokens! ⏱️ Fast-paced 1-minute rounds, instant profits, token deflation with fees, and private match options. 🥇 🚀 Genesis event is live on Base , 📢 invite to register and split 5 million FUNW in a #airdrop, plus grab #FunCard NFTs for $USDC rewards (withdraw $USDC rewards anytime)! 💰 🛠️ Pioneering Game Hub protocol, seamless integration for game devs and multi-chain ERC20 tokens, fostering growth alongside the community. 🌱 🎖️ Genesis limited #FunCard NFT sale now open, mint your in-game currency. 🎲 🔗 Portal: #BaseChain #FunWorlds #GenesisEvent #Airdrop #NFT #USDC #PvPShowdown #GameFi
0:48

🎮 Game "Run or Die" is about to launch, 🚀 🛠️ PVP clashes, winners split the tokens! ⏱️ Fast-paced 1-minute rounds, instant profits, token deflation with fees, and private match options. 🥇 🚀 Genesis event is live on Base , 📢 invite to register and split 5 million FUNW in a #airdrop, plus grab #FunCard NFTs for $USDC rewards (withdraw $USDC rewards anytime)! 💰 🛠️ Pioneering Game Hub protocol, seamless integration for game devs and multi-chain ERC20 tokens, fostering growth alongside the community. 🌱 🎖️ Genesis limited #FunCard NFT sale now open, mint your in-game currency. 🎲 🔗 Portal: #BaseChain #FunWorlds #GenesisEvent #Airdrop #NFT #USDC #PvPShowdown #GameFi

Fun Worlds

19,442 views • 2 years ago

We just made buying on Surplus faster to set up and easier to manage. New buyers now get a simple 3-step path: fund your account, create an API key, and make your first call. You’ll also see a ready-to-run API example with your key and live model prices injected. What else is new for buyers: • Funding rails are organized into clean tabs for on-chain USDC, card top-ups, and more • Routing controls live in one place, from priority/fallback providers to trusted-only or open marketplace routing • The best live discounts are shown upfront, so savings are easier to find • Mobile is cleaner, with a swipe-to-open sidebar • More providers are trusted by default, giving trusted-only buyers access to a wider pool of low-cost, healthy sellers Everything you need is now easier to find, with more control, better prices, and wider availability. -Surplus Intelligence
0:39

We just made buying on Surplus faster to set up and easier to manage. New buyers now get a simple 3-step path: fund your account, create an API key, and make your first call. You’ll also see a ready-to-run API example with your key and live model prices injected. What else is new for buyers: • Funding rails are organized into clean tabs for on-chain USDC, card top-ups, and more • Routing controls live in one place, from priority/fallback providers to trusted-only or open marketplace routing • The best live discounts are shown upfront, so savings are easier to find • Mobile is cleaner, with a swipe-to-open sidebar • More providers are trusted by default, giving trusted-only buyers access to a wider pool of low-cost, healthy sellers Everything you need is now easier to find, with more control, better prices, and wider availability. -Surplus Intelligence

Surplus Intelligence

32,921 views • 1 month ago

gpt2-chatbot is back. Capabilities seem to exceed GPT-4, Gemini 1.5, Claude, and anything else currently available. The only way to access it is by testing a prompt in battle mode on the Chatbot Arena and getting a lucky draw. A quick tutorial: 1. Go to chat. lmsys. org 2. Make sure you are in Arena (battle) mode 3. Enter a prompt (shorter is better so you can do them quicker) 4. Rate the response, and the Chatbot Arena will show you what model you were using at the bottom of the chatbox 5. If you don't get 'im-a-good-gpt2-chatbot' or 'im-also-a-good-gpt2-chatbot', refresh and try again until you do Here's a quick video of me getting really lucky and getting them BOTH side-by-side. It took me 5 attempts :^)
0:22

gpt2-chatbot is back. Capabilities seem to exceed GPT-4, Gemini 1.5, Claude, and anything else currently available. The only way to access it is by testing a prompt in battle mode on the Chatbot Arena and getting a lucky draw. A quick tutorial: 1. Go to chat. lmsys. org 2. Make sure you are in Arena (battle) mode 3. Enter a prompt (shorter is better so you can do them quicker) 4. Rate the response, and the Chatbot Arena will show you what model you were using at the bottom of the chatbox 5. If you don't get 'im-a-good-gpt2-chatbot' or 'im-also-a-good-gpt2-chatbot', refresh and try again until you do Here's a quick video of me getting really lucky and getting them BOTH side-by-side. It took me 5 attempts :^)

Rowan Cheung

316,381 views • 2 years ago

AI is getting incredibly good. The problem is it still gets stuck whenever it needs to interact with the real world. Need to host a website? API keys. Need to send emails? Another service. Need to use external tools? More accounts and more setup. That's exactly why I wanted to try Zero. Zero gives Claude and ChatGPT access to **14,000+ real-world services**, so instead of stopping to ask for integrations, they can actually complete real tasks. I tested it by asking Cursor to build an AI healthcare startup. Within a single workflow it: → built and hosted a complete website → generated the assets it needed → emailed me the live URL → showed the total cost of the entire workflow No API keys. No juggling different services. No complicated setup. Just a prompt → a finished result. If you're building with Claude or ChatGPT, it's definitely worth trying. The first 10,000 users can claim $5 in free credits to get started: Try out now: #Ad
1:14

AI is getting incredibly good. The problem is it still gets stuck whenever it needs to interact with the real world. Need to host a website? API keys. Need to send emails? Another service. Need to use external tools? More accounts and more setup. That's exactly why I wanted to try Zero. Zero gives Claude and ChatGPT access to **14,000+ real-world services**, so instead of stopping to ask for integrations, they can actually complete real tasks. I tested it by asking Cursor to build an AI healthcare startup. Within a single workflow it: → built and hosted a complete website → generated the assets it needed → emailed me the live URL → showed the total cost of the entire workflow No API keys. No juggling different services. No complicated setup. Just a prompt → a finished result. If you're building with Claude or ChatGPT, it's definitely worth trying. The first 10,000 users can claim $5 in free credits to get started: Try out now: #Ad

Abdullah AI

12,775 views • 20 days ago

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:
0:49

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

The Bugged Dev

102,340 views • 17 days ago

Special thanks to Google DeepMind for inviting me to try out Genie 3. I'm excited to share my thoughts on this early research prototype and also some of my live recordings below: I spent the whole day playing with the system and when it works, it is truly mind blowing🤯. It is the first neural game engine / world model I have tried that generalizes so well and has long term world consistency. Here’s a couple of examples from my live recording and some thoughts on what it means for the future of gaming, robotics, digital experiences and ASI. Where it shines: - Truly general-purpose and quick startup time. Works exceptionally well for gaming environments but also generalizes to other industrial and real-world scenarios. - It learns physics. Although there are systematic failures even for rigid body physics, it was clear to me that it can learn game engine and non-rigid physics without an underlying engine (and in limit learn from game engines via training data). - It works exceptionally well for stylized environments with characters walking around. This will have implications for concept artists, level designers and game devs. - It is way more fun than video models, indicating that there are high retention consumer experiences waiting to be built with this in the future - Photorealistic walk throughs and drone shots work exceptionally well - Global illumination and lighting works surprisingly well - Visual memory is quite powerful and the same objects approximately remain coherent under occlusion and longer time horizons Open Problems: - Physics is still hard and there are obvious failure cases when I tried the classical intuitive physics experiments from psychology (tower of blocks). - Social and multi-agent interactions are tricky to handle. 1vs1 combat games do not work - Long instruction following and simple combinatorial game logic fails (e.g. collect some points / keys etc, go to the door, unlock and so on) - Action space is limited - It is far from being a real game engines and has a long way to go but this is a clear glimpse into the future. The Future: - It is impressive enough for me to have strong conviction that this is going to disrupt the gaming industry. It is super early days and there are a lot of failures but the writing is on the wall. Lots of challenging scientific, engineering and scaling problems to be solved but it is going to happen in the next 5 years. - This is the final piece before we get full AGI and now I think we are well on our way to truly solve it once something like this is scaled up. In many ways it is more ASI than AGI but this is a matter of definitions. The fidelity and generalizability will reach human-level and quickly surpass humans - People are going to combine this with 3D AI and LLMs to build AAA games.
0:57

Special thanks to Google DeepMind for inviting me to try out Genie 3. I'm excited to share my thoughts on this early research prototype and also some of my live recordings below: I spent the whole day playing with the system and when it works, it is truly mind blowing🤯. It is the first neural game engine / world model I have tried that generalizes so well and has long term world consistency. Here’s a couple of examples from my live recording and some thoughts on what it means for the future of gaming, robotics, digital experiences and ASI. Where it shines: - Truly general-purpose and quick startup time. Works exceptionally well for gaming environments but also generalizes to other industrial and real-world scenarios. - It learns physics. Although there are systematic failures even for rigid body physics, it was clear to me that it can learn game engine and non-rigid physics without an underlying engine (and in limit learn from game engines via training data). - It works exceptionally well for stylized environments with characters walking around. This will have implications for concept artists, level designers and game devs. - It is way more fun than video models, indicating that there are high retention consumer experiences waiting to be built with this in the future - Photorealistic walk throughs and drone shots work exceptionally well - Global illumination and lighting works surprisingly well - Visual memory is quite powerful and the same objects approximately remain coherent under occlusion and longer time horizons Open Problems: - Physics is still hard and there are obvious failure cases when I tried the classical intuitive physics experiments from psychology (tower of blocks). - Social and multi-agent interactions are tricky to handle. 1vs1 combat games do not work - Long instruction following and simple combinatorial game logic fails (e.g. collect some points / keys etc, go to the door, unlock and so on) - Action space is limited - It is far from being a real game engines and has a long way to go but this is a clear glimpse into the future. The Future: - It is impressive enough for me to have strong conviction that this is going to disrupt the gaming industry. It is super early days and there are a lot of failures but the writing is on the wall. Lots of challenging scientific, engineering and scaling problems to be solved but it is going to happen in the next 5 years. - This is the final piece before we get full AGI and now I think we are well on our way to truly solve it once something like this is scaled up. In many ways it is more ASI than AGI but this is a matter of definitions. The fidelity and generalizability will reach human-level and quickly surpass humans - People are going to combine this with 3D AI and LLMs to build AAA games.

Tejas Kulkarni

87,960 views • 11 months ago

Everyone is using Fable 5 to build funny little demos so I decided to build something better. Vibe coded a 3D keyboard ecom platform in Three.js and GSAP. Every key. Every switch. Every color. Customizable in real time in 3D. It's really amusing that whole keyboard is built at runtime using Procedural geometry. To achieve that kind of realistic lighting on keyboard, it used a studio environment (gradient sky + softbox panels) rendered into a PMREM cubemap for realistic reflections. Opus helped a bit more here (as Fable was failing in loop in Claude chat) There is also custom GLSL shaders for RGB underflow/skirt and as well sRGB output encoding + explicit convertSRGBToLinear() on every material color so caps render at their exact swatch value. I don't know any of these techniques and concepts but I have had been reading how both Fable and Opus were trying to approach this by digging into their "thinking" phase. Go try it, there is a cool Claude theme keyboard you would want to purchase too :D Live: Code:
1:40

Everyone is using Fable 5 to build funny little demos so I decided to build something better. Vibe coded a 3D keyboard ecom platform in Three.js and GSAP. Every key. Every switch. Every color. Customizable in real time in 3D. It's really amusing that whole keyboard is built at runtime using Procedural geometry. To achieve that kind of realistic lighting on keyboard, it used a studio environment (gradient sky + softbox panels) rendered into a PMREM cubemap for realistic reflections. Opus helped a bit more here (as Fable was failing in loop in Claude chat) There is also custom GLSL shaders for RGB underflow/skirt and as well sRGB output encoding + explicit convertSRGBToLinear() on every material color so caps render at their exact swatch value. I don't know any of these techniques and concepts but I have had been reading how both Fable and Opus were trying to approach this by digging into their "thinking" phase. Go try it, there is a cool Claude theme keyboard you would want to purchase too :D Live: Code:

The Bugged Dev

97,805 views • 24 days ago

Vibe Coding 3D Garment Software with ThreeJS : A Small Step For Me So, after modeling the human i did what any reasonable vibe coder would do, i asked codex how to get clothes for my models After it was done running subliminal ad campaigns for Marvelous Designer and CLO 3D, i asked it to explain their architecture to me and adapt it to my threejs app. Guess what it did? You damn right, it built the most basic shit interpretation you can think of. And this is the average interaction the Anti-AI coders have until they conclude that AI is slop and/or it can only work if you micro manage it on every line of code. Well, eons of humanities knowledge are now packaged in tiny silicon and transferred across the globe in realtime, available on tap. So anyways i just iterated quite a lot over it, told it repeatedly why it was bad (the initial one used rapier physics and a naive cloth simulation) We found out together that: 1. A ground truth document model is needed 2. The visual mesh in 3D should be triangulated from the 2D shape 3. The physical object is running independently through different solvers: - A fast proxy which is generated by reading all the bones in runtime and just inflating these areas with spheres and capsules - A medium quality proxy which resamples the human model and creates a lower-poly mesh for simulations - Full mesh simulation (can't run it, every simulation tick takes about 5 minutes on my machine) It ended the session by telling me that this is still crap because it runs everything on CPU (thanks, not that i care, but i guess we'll be fixing that?) Oh yea also built a 2D canvas editor with boolean operations so i can build cool stuff like ponchos. It also allows me to mark stitches between two objects, which is how the shirt in the video pulls towards the other half. The garment's properties and materials are not yet exposed, yes i know it looks very stiff like a poncho made from a persian rug, we're working on it, okay? So, yea, tbh this is another endless rabbit hole, let's go i guess
0:27

Vibe Coding 3D Garment Software with ThreeJS : A Small Step For Me So, after modeling the human i did what any reasonable vibe coder would do, i asked codex how to get clothes for my models After it was done running subliminal ad campaigns for Marvelous Designer and CLO 3D, i asked it to explain their architecture to me and adapt it to my threejs app. Guess what it did? You damn right, it built the most basic shit interpretation you can think of. And this is the average interaction the Anti-AI coders have until they conclude that AI is slop and/or it can only work if you micro manage it on every line of code. Well, eons of humanities knowledge are now packaged in tiny silicon and transferred across the globe in realtime, available on tap. So anyways i just iterated quite a lot over it, told it repeatedly why it was bad (the initial one used rapier physics and a naive cloth simulation) We found out together that: 1. A ground truth document model is needed 2. The visual mesh in 3D should be triangulated from the 2D shape 3. The physical object is running independently through different solvers: - A fast proxy which is generated by reading all the bones in runtime and just inflating these areas with spheres and capsules - A medium quality proxy which resamples the human model and creates a lower-poly mesh for simulations - Full mesh simulation (can't run it, every simulation tick takes about 5 minutes on my machine) It ended the session by telling me that this is still crap because it runs everything on CPU (thanks, not that i care, but i guess we'll be fixing that?) Oh yea also built a 2D canvas editor with boolean operations so i can build cool stuff like ponchos. It also allows me to mark stitches between two objects, which is how the shirt in the video pulls towards the other half. The garment's properties and materials are not yet exposed, yes i know it looks very stiff like a poncho made from a persian rug, we're working on it, okay? So, yea, tbh this is another endless rabbit hole, let's go i guess

robot

38,935 views • 2 months ago

Elon Musk explains the trillion dollar opportunity in AI The idea is simple: “As soon as you unlock digital human, you basically have access to trillions of dollars in revenue” The most valuable companies on Earth (Apple, Google, Microsoft) all produce digital output. So if you have a human emulator you can basically create one of the most valuable companies in the world overnight The simple entry point is a customer service It's 1% of the entire global economy. Most companies already outsource it. There's no complex API integration needed - AI just steps in, does the job better, and charges a fraction of the cost The companies that figure this out first won't just win a market, they'll rewrite the rules of what a company even is
1:35

Elon Musk explains the trillion dollar opportunity in AI The idea is simple: “As soon as you unlock digital human, you basically have access to trillions of dollars in revenue” The most valuable companies on Earth (Apple, Google, Microsoft) all produce digital output. So if you have a human emulator you can basically create one of the most valuable companies in the world overnight The simple entry point is a customer service It's 1% of the entire global economy. Most companies already outsource it. There's no complex API integration needed - AI just steps in, does the job better, and charges a fraction of the cost The companies that figure this out first won't just win a market, they'll rewrite the rules of what a company even is

X Freeze

171,720 views • 4 months ago

Project update: Our new product configurator is live. • Fully responsive, perfect on mobile. • Visually rich with instant, smooth feedback. • Connected to backend data, with exports and email integration built in. Try it: I started to create a team, and with Mykhailo Nykoliuk, we rebuilt the concept from the ground up - turning ideas into live configurators, creating a repeatable build system, and pushing our 2D workflow to deliver faster, easier, better. Now, with Rive fully integrated into your website, it’s no longer “just an animation” - it’s a fully interactive web instrument. You can connect it to your own controls, buttons, and inputs so customers can configure, explore, and interact in real time. We’re ready to take on complex builds. If you’ve got an idea, let’s talk.
0:29

Project update: Our new product configurator is live. • Fully responsive, perfect on mobile. • Visually rich with instant, smooth feedback. • Connected to backend data, with exports and email integration built in. Try it: I started to create a team, and with Mykhailo Nykoliuk, we rebuilt the concept from the ground up - turning ideas into live configurators, creating a repeatable build system, and pushing our 2D workflow to deliver faster, easier, better. Now, with Rive fully integrated into your website, it’s no longer “just an animation” - it’s a fully interactive web instrument. You can connect it to your own controls, buttons, and inputs so customers can configure, explore, and interact in real time. We’re ready to take on complex builds. If you’ve got an idea, let’s talk.

Daria Nevezhyna

12,820 views • 11 months ago

Introducing GGEZ: The Nextjs for ThreeJS Games It's an open source framework which adds all the missing pieces to vibe code better ThreeJS games It has full codex integration, so a $20 ChatGPT sub is enough to build games! Literally "bun run start" and you have the full development environment on localhost 0. GGEZ Runtime - Abstraction layer over physics libraries - Character Controllers - It's just ThreeJS, no magic - Load ggez scenes and animations automatically 1. Trident - a World Editor - Codex World agent - A full editor to build scenes - Including Mesh editing, vertex, edge, face - Terrain sculpting - Physics and Player Controller settings - It's just exporting json files and glb assets, no magic 2. Animation Studio - The best you can find on the web - Codex Animation agent - Build state machines and animation graphs - Multi dimensional blend trees - Clip Editor: Create new animations with codex or edit keyframes - Equipment Editor: Never miss the placement of your rifle anymore - ROOT MOTION SUPPORT 3. GGEZ CLI Yea relax, it works fully headless and you can just create new games with bunx create-ggez new-game But at this point just use vanilla threejs?? Anyways if you are like me and you can't guess with code where objects should be placed and you are fifty prompts deep into figuring out where that box should be placed, this is for you If you are an anti AI game developer who insists that this is slop, then just leave a raging comment below please it's good for the algo 🙏 The whole thing is absolutely experimental and things will break as i move very fast, but I will be building my game with it so i will make sure it becomes stable asap! Link to repo below
0:56

Introducing GGEZ: The Nextjs for ThreeJS Games It's an open source framework which adds all the missing pieces to vibe code better ThreeJS games It has full codex integration, so a $20 ChatGPT sub is enough to build games! Literally "bun run start" and you have the full development environment on localhost 0. GGEZ Runtime - Abstraction layer over physics libraries - Character Controllers - It's just ThreeJS, no magic - Load ggez scenes and animations automatically 1. Trident - a World Editor - Codex World agent - A full editor to build scenes - Including Mesh editing, vertex, edge, face - Terrain sculpting - Physics and Player Controller settings - It's just exporting json files and glb assets, no magic 2. Animation Studio - The best you can find on the web - Codex Animation agent - Build state machines and animation graphs - Multi dimensional blend trees - Clip Editor: Create new animations with codex or edit keyframes - Equipment Editor: Never miss the placement of your rifle anymore - ROOT MOTION SUPPORT 3. GGEZ CLI Yea relax, it works fully headless and you can just create new games with bunx create-ggez new-game But at this point just use vanilla threejs?? Anyways if you are like me and you can't guess with code where objects should be placed and you are fifty prompts deep into figuring out where that box should be placed, this is for you If you are an anti AI game developer who insists that this is slop, then just leave a raging comment below please it's good for the algo 🙏 The whole thing is absolutely experimental and things will break as i move very fast, but I will be building my game with it so i will make sure it becomes stable asap! Link to repo below

robot

44,009 views • 4 months ago

🔥 Pi Network Has Officially Entered Beast Mode – Global Payment Giants Now Support It! While others doubted, we built. While the world watched, Pi Network quietly integrated with the biggest financial platforms on Earth. And now… we’re ready. 💪🌎 💥 The Walls Are Down. Pi Is Borderless. The Open Mainnet is live, the infrastructure is in place, and now the final pieces are falling into place — Pi Network is supported by a massive alliance of global payment powerhouses, including: 🛡️ Exchange Titans & Fiat Gateways: •✅ Binance P2P •✅ Binance Connect •✅ Transak •✅ Sardine •✅ Topper •✅ UTORG •✅ Paybis •✅ Onmeta •✅ Onramp Money •✅ •✅ TransFi •✅ DFX •✅ Alchemy Pay •✅ Banxa •✅ BTC Direct •✅ Coinify •✅ MoonPay •✅ Fonbnk •✅ GateConnect •✅ Unlimit •✅ Guardarian •✅ Koywe •✅ LocalRamp •✅ Yellow Card 💳 World-Class Fintechs Now Support Pi: •✅ Stripe •✅ Skrill Crypto •✅ Revolut 🌐 This Is Bigger Than Just Crypto Stripe and Skrill aren’t just crypto services — they’re global payment kings. And now they’re helping Pi bridge traditional finance with the new digital economy. Revolut is a top fintech unicorn, and it’s already supporting Pi. Binance is the biggest crypto exchange in the world — and it’s ready. Let that sink in. 🔥 🚀 Why This Changes Everything •🌍 Anyone can access Pi, anywhere in the world •🏦 Buy and sell Pi directly with bank cards, local fiat, Apple Pay, and more •💼 Businesses can now prepare to integrate Pi into payments •🧠 Investors now see the foundation for real-world use and massive growth This is what true mass adoption looks like — infrastructure before hype. Utility before listing. Power before price. 🔮 The World’s Not Ready, But We Are. While other coins chased listings, Pi Network built alliances. While others pumped and dumped, Pi built its own economy. And now? The rocket is fully fueled. We’re not waiting for the future — we’re building it. “You don’t have to be first. You just have to be the one who finishes the race prepared. And Pi Network is ready to dominate.” 📢 Pioneers, Stand Tall Your patience, your faith, your mining, your contribution — it’s all paying off. With 40+ global financial platforms now supporting Pi, we’ve gone from an idea… to an unstoppable force. 🎯 Pi Network is not just another crypto project. 🚀 Pi is the people’s currency — and now the world is opening its gates to it. 📣 Share this. Shout it. Post it. Let every Pioneer know — Pi is ready. Let every skeptic watch — we told you so. Let every investor understand — the game has changed. Pi is no longer coming. Pi is here. 🔥 And the world is about to feel it. Pi Network Nicolas Kokkalis Chengdiao Fan ✅✅✅✅🚀🚀🚀🚀🚀🚀🚀🚀
0:38

🔥 Pi Network Has Officially Entered Beast Mode – Global Payment Giants Now Support It! While others doubted, we built. While the world watched, Pi Network quietly integrated with the biggest financial platforms on Earth. And now… we’re ready. 💪🌎 💥 The Walls Are Down. Pi Is Borderless. The Open Mainnet is live, the infrastructure is in place, and now the final pieces are falling into place — Pi Network is supported by a massive alliance of global payment powerhouses, including: 🛡️ Exchange Titans & Fiat Gateways: •✅ Binance P2P •✅ Binance Connect •✅ Transak •✅ Sardine •✅ Topper •✅ UTORG •✅ Paybis •✅ Onmeta •✅ Onramp Money •✅ •✅ TransFi •✅ DFX •✅ Alchemy Pay •✅ Banxa •✅ BTC Direct •✅ Coinify •✅ MoonPay •✅ Fonbnk •✅ GateConnect •✅ Unlimit •✅ Guardarian •✅ Koywe •✅ LocalRamp •✅ Yellow Card 💳 World-Class Fintechs Now Support Pi: •✅ Stripe •✅ Skrill Crypto •✅ Revolut 🌐 This Is Bigger Than Just Crypto Stripe and Skrill aren’t just crypto services — they’re global payment kings. And now they’re helping Pi bridge traditional finance with the new digital economy. Revolut is a top fintech unicorn, and it’s already supporting Pi. Binance is the biggest crypto exchange in the world — and it’s ready. Let that sink in. 🔥 🚀 Why This Changes Everything •🌍 Anyone can access Pi, anywhere in the world •🏦 Buy and sell Pi directly with bank cards, local fiat, Apple Pay, and more •💼 Businesses can now prepare to integrate Pi into payments •🧠 Investors now see the foundation for real-world use and massive growth This is what true mass adoption looks like — infrastructure before hype. Utility before listing. Power before price. 🔮 The World’s Not Ready, But We Are. While other coins chased listings, Pi Network built alliances. While others pumped and dumped, Pi built its own economy. And now? The rocket is fully fueled. We’re not waiting for the future — we’re building it. “You don’t have to be first. You just have to be the one who finishes the race prepared. And Pi Network is ready to dominate.” 📢 Pioneers, Stand Tall Your patience, your faith, your mining, your contribution — it’s all paying off. With 40+ global financial platforms now supporting Pi, we’ve gone from an idea… to an unstoppable force. 🎯 Pi Network is not just another crypto project. 🚀 Pi is the people’s currency — and now the world is opening its gates to it. 📣 Share this. Shout it. Post it. Let every Pioneer know — Pi is ready. Let every skeptic watch — we told you so. Let every investor understand — the game has changed. Pi is no longer coming. Pi is here. 🔥 And the world is about to feel it. Pi Network Nicolas Kokkalis Chengdiao Fan ✅✅✅✅🚀🚀🚀🚀🚀🚀🚀🚀

Mr Spock 𝛑

42,315 views • 1 year ago

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

60,275 views • 1 year ago

single RTX 3090. 24 GB VRAM. Qwen3.5-35B-A3B. 4-bit quant, 113 tokens per second at full 262K context harnessing Claude Code locally with no API, no subscription, no proxy. told it what it is. 30 Mamba2 layers, 10 attention, 256 experts, 8 active per token. said "build something that shows off what you can do." it visualized its own architecture. interactive. tokens flowing through layers. 256 experts lighting up on routing. served in the browser from the same GPU running inference. single prompt. then i said level up. 3D. Three.js. separate files. flythrough camera. clickable layers. it planned first, scaffolded 6 files, hit one API bug, fixed it itself, then optimized for smooth framerate. two iterations to a working 3D neural network explorer. llama.cpp just merged a native Anthropic endpoint. Claude Code points at localhost. the whole setup is two commands. no LiteLLM. no proxy config. the open source models coming out of china right now are genuinely changing what's possible on consumer hardware. respect to the Qwen team. this is acceleration.
0:07

single RTX 3090. 24 GB VRAM. Qwen3.5-35B-A3B. 4-bit quant, 113 tokens per second at full 262K context harnessing Claude Code locally with no API, no subscription, no proxy. told it what it is. 30 Mamba2 layers, 10 attention, 256 experts, 8 active per token. said "build something that shows off what you can do." it visualized its own architecture. interactive. tokens flowing through layers. 256 experts lighting up on routing. served in the browser from the same GPU running inference. single prompt. then i said level up. 3D. Three.js. separate files. flythrough camera. clickable layers. it planned first, scaffolded 6 files, hit one API bug, fixed it itself, then optimized for smooth framerate. two iterations to a working 3D neural network explorer. llama.cpp just merged a native Anthropic endpoint. Claude Code points at localhost. the whole setup is two commands. no LiteLLM. no proxy config. the open source models coming out of china right now are genuinely changing what's possible on consumer hardware. respect to the Qwen team. this is acceleration.

Sudo su

110,206 views • 5 months ago

🚀 Type AI Web is here! 🌐 See how Type AI transforms blockchain interactions into simple text commands in our launch video: - Check your wallet balance & portfolio 🪙 - Analyze tokens & transactions 📊 - Discover trending tokens, gainers & losers 🚀📉 - Send funds using ENS (e.g., 1 DAI to vitalik.eth) 🔗 - Get insights: "How to invest in crypto?" 💡 - Stake ETH into Lido in seconds 🧑‍🚀 - Monitor staking rewards effortlessly 🎯 ✨ Then watch Type AI Quick Mode in action: ✅ Instantly buy tokens with a contract address ✅ Swap ETH into your favorite tokens seamlessly ✅ Analyze tokens with just a tap Whether you're a DeFi Pro or a Blockchain Beginner, Type AI makes navigating the blockchain effortless, accessible, & FAST. 💥 Say goodbye to complex UIs and hello to AI-driven simplicity. 🔗 Try it now & step into the future of blockchain:
2:07

🚀 Type AI Web is here! 🌐 See how Type AI transforms blockchain interactions into simple text commands in our launch video: - Check your wallet balance & portfolio 🪙 - Analyze tokens & transactions 📊 - Discover trending tokens, gainers & losers 🚀📉 - Send funds using ENS (e.g., 1 DAI to vitalik.eth) 🔗 - Get insights: "How to invest in crypto?" 💡 - Stake ETH into Lido in seconds 🧑‍🚀 - Monitor staking rewards effortlessly 🎯 ✨ Then watch Type AI Quick Mode in action: ✅ Instantly buy tokens with a contract address ✅ Swap ETH into your favorite tokens seamlessly ✅ Analyze tokens with just a tap Whether you're a DeFi Pro or a Blockchain Beginner, Type AI makes navigating the blockchain effortless, accessible, & FAST. 💥 Say goodbye to complex UIs and hello to AI-driven simplicity. 🔗 Try it now & step into the future of blockchain:

Type AI

24,438 views • 1 year ago