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Gemini 4 Argon, everyone!!! 🤯 It literally created a ridiculously realistic 3D fluffy pumpkin plushie without using Blender at all. In fact, it generated it as a procedural GLB model with 28 volumetric fur shells, 60,000 GPU-instanced 3D fur strands, and even real-time air-jet physics, all built with Three.js... show more

The Bugged Dev

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47,485 views • 3 days ago •via X (Twitter)

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Nah no, this is not a pre-made or baked Blender model. It is created entirely from scratch using extruded geometry and procedural textures for the mustard hatching pattern on the model... all done with Google Gemini 3 pro AI. In fact, every Three.js 3D model you see on this website has been vibe coded with AI 😎 Live: Code:

Nah no, this is not a pre-made or baked Blender model. It is created entirely from scratch using extruded geometry and procedural textures for the mustard hatching pattern on the model... all done with Google Gemini 3 pro AI. In fact, every Three.js 3D model you see on this website has been vibe coded with AI 😎 Live: Code:

The Bugged Dev

54,391 views • 9 months ago

Gaussian splats don't simulate light. They capture it. I took one photograph of this room and generated it as a fully walkable 3D world in Mint. The volumetric rays, the shadow play on the rug, all preserved. This is what real-time 3D is becoming

Gaussian splats don't simulate light. They capture it. I took one photograph of this room and generated it as a fully walkable 3D world in Mint. The volumetric rays, the shadow play on the rug, all preserved. This is what real-time 3D is becoming

mint

15,446 views • 4 months ago

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.

I had an early access to GPT-6 Astra and I can say, everyone in the world now has a 3D designer at their fingertips. I gave it an image of a house and asked to create it in 3D with all the details including toys, appliances and furniture. This a full 3D model reconstruction in Blender with geometry that you can manually tweak and run 60fps as a locally rendered "game" on device.

Tom Krcha

1,444,157 views • 1 month ago

Vibe coded an infinite 3D tunnel scroll using Three.js with object pooling and GSAP animations, all created with Google Gemini 3 Pro AI in under 30 minutes :D It’s a fully procedural, mathematically generated world that renders endlessly as you scroll up and down without eating your device memory (that's what at least AI said 😆) Live: Code: now returning to the job that funds my ability to overwork myself :)

Vibe coded an infinite 3D tunnel scroll using Three.js with object pooling and GSAP animations, all created with Google Gemini 3 Pro AI in under 30 minutes :D It’s a fully procedural, mathematically generated world that renders endlessly as you scroll up and down without eating your device memory (that's what at least AI said 😆) Live: Code: now returning to the job that funds my ability to overwork myself :)

The Bugged Dev

96,313 views • 9 months ago

The new Krea 3D feature is insanely good. You can turn an image into a 3D model to move & rotate in space - and it guides real-time scene generation. Watch me move this couch around a living room ⬇️

The new Krea 3D feature is insanely good. You can turn an image into a 3D model to move & rotate in space - and it guides real-time scene generation. Watch me move this couch around a living room ⬇️

Justine Moore

32,737 views • 1 year ago

✨ 3d models are now LIVE on Photo AI 😊 You can now turn any AI photo you make into a 3d model by pressing [ 📦 Make 3d model ] And then you can view it inside Photo AI or download it as a .GLB 3d model file It's still very early in AI generated 3d model world but it's nice to have this feature working already As always, the models will keep improving, so this feature will keep getting better (like it did with video, it sucked before, now it's getting passable) Next would be nice to switch to .USDZ so you can load it straight into your iPhone with ARKit and put it in your room Available now for everyone on the Premium and Ultra plan

✨ 3d models are now LIVE on Photo AI 😊 You can now turn any AI photo you make into a 3d model by pressing [ 📦 Make 3d model ] And then you can view it inside Photo AI or download it as a .GLB 3d model file It's still very early in AI generated 3d model world but it's nice to have this feature working already As always, the models will keep improving, so this feature will keep getting better (like it did with video, it sucked before, now it's getting passable) Next would be nice to switch to .USDZ so you can load it straight into your iPhone with ARKit and put it in your room Available now for everyone on the Premium and Ultra plan

@levelsio

112,930 views • 1 year ago

How I built with Claude 👇 Prompt: "Design an agency site where services are presented as supermarket product packaging in 3D" Use Three.js with WebGL to render all products in real time in the browser Use Blender to model the packaging then export as GLTF to load in Three.js Use GSAP for the smooth product rotation and hover interactions Save this if you want a portfolio that makes clients feel they are buying something premium 🛒

How I built with Claude 👇 Prompt: "Design an agency site where services are presented as supermarket product packaging in 3D" Use Three.js with WebGL to render all products in real time in the browser Use Blender to model the packaging then export as GLTF to load in Three.js Use GSAP for the smooth product rotation and hover interactions Save this if you want a portfolio that makes clients feel they are buying something premium 🛒

FHILY👑

76,655 views • 5 months ago

China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply

China just dropped an open source model that turns any phone into a 3D scanner you point it at a room and walk through it the whole space builds itself into a 3D point cloud in real time as the camera moves, no LiDAR and no depth sensor anywhere it held a full 13 minute walkthrough at 25,000 frames without the map drifting or collapsing > ~20 fps on a single GPU > works indoors and outdoors from plain footage > the scan normally needs a $50,000 rig and a technician > Apache 2.0 and runs fully offline on your machine repo in the reply

savip.

105,419 views • 3 months ago

look at this little guy. i designed this creature years ago. picked this scene on purpose — the hatching, the sac, the wet emergence, the fur — because i knew how badly it would have broken, every time, in every version of this tech up to now. limbs through membranes. bodies folding into themselves. things growing out of nothing. fur turning into soup. physics giving up at the moment of rupture. this one didn't. the sac deforms under pressure. the fluid behaves like fluid. the rupture is actually there, the moment where enclosed becomes emerged, and the membrane remembers what it was holding. the fur stays fur, even wet — matted, heavy, clinging the way real fur does. he has weight when he lands. i let the model contribute. the little mouth at the end wasn't in my prompt. a happy accident that wanted to stay.

look at this little guy. i designed this creature years ago. picked this scene on purpose — the hatching, the sac, the wet emergence, the fur — because i knew how badly it would have broken, every time, in every version of this tech up to now. limbs through membranes. bodies folding into themselves. things growing out of nothing. fur turning into soup. physics giving up at the moment of rupture. this one didn't. the sac deforms under pressure. the fluid behaves like fluid. the rupture is actually there, the moment where enclosed becomes emerged, and the membrane remembers what it was holding. the fur stays fur, even wet — matted, heavy, clinging the way real fur does. he has weight when he lands. i let the model contribute. the little mouth at the end wasn't in my prompt. a happy accident that wanted to stay.

Lola Viscera

596,826 views • 6 months ago

🔥 Developers… it’s happening. Gemini 3 just built a full interactive 3D website for me in minutes. No plugins. No boilerplate. Just plain text prompts → production-ready code. It even lets you move millions of particles with your hands and reshape them in real-time. Full prompts + tutorial below ⬇️

🔥 Developers… it’s happening. Gemini 3 just built a full interactive 3D website for me in minutes. No plugins. No boilerplate. Just plain text prompts → production-ready code. It even lets you move millions of particles with your hands and reshape them in real-time. Full prompts + tutorial below ⬇️

Kshitij Mishra | AI & Tech

19,673 views • 10 months ago

you are making video games all wrong for decades almost all game art time went into reverse-engineering the end result you start with concept art of what you WANT it to look like. then for YEARS you walk the computer backwards into something it can process: a rendering engine, 3d assets that fit that engine, and a gamer’s local hardware that has to turn all of that back into a high fidelity image incredibly slow. incredibly expensive. but it was the best we had ai makes that pipeline faster as everyone is figuring out today. but they’re missing the real unlock: YOU DON’T NEED THAT PIPELINE AT ALL if you have a reference for the end look, you don’t model it in 3d. you don’t reverse-engineer into an engine you keep a very basic greybox model of the world as the source of truth, and track every entity in real time. it doesn’t need to look good at all… the player never sees it! a fast video model turns that into the “game” in real time. it doesn’t have to look like a game. it can look like a 2d cartoon or cinematic live action fal’s h3 max is very fast. astra 6 low-effort too. neither is fully realtime yet but together they can generate continuous, coherent, player-controlled scenes, faster than playback early demo:

you are making video games all wrong for decades almost all game art time went into reverse-engineering the end result you start with concept art of what you WANT it to look like. then for YEARS you walk the computer backwards into something it can process: a rendering engine, 3d assets that fit that engine, and a gamer’s local hardware that has to turn all of that back into a high fidelity image incredibly slow. incredibly expensive. but it was the best we had ai makes that pipeline faster as everyone is figuring out today. but they’re missing the real unlock: YOU DON’T NEED THAT PIPELINE AT ALL if you have a reference for the end look, you don’t model it in 3d. you don’t reverse-engineer into an engine you keep a very basic greybox model of the world as the source of truth, and track every entity in real time. it doesn’t need to look good at all… the player never sees it! a fast video model turns that into the “game” in real time. it doesn’t have to look like a game. it can look like a 2d cartoon or cinematic live action fal’s h3 max is very fast. astra 6 low-effort too. neither is fully realtime yet but together they can generate continuous, coherent, player-controlled scenes, faster than playback early demo:

Udi Wertheimer

125,114 views • 1 month ago

Gemini 3.1 Pro vs Opus 4.6 opus is consistent and relaible Prompt : Build a premium interactive isometric 3D cozy room using Three.js in one html code block, with all objects modeled in code (no external assets) and subtle ambient animations and you can do 2 things of your choice to make it better

Gemini 3.1 Pro vs Opus 4.6 opus is consistent and relaible Prompt : Build a premium interactive isometric 3D cozy room using Three.js in one html code block, with all objects modeled in code (no external assets) and subtle ambient animations and you can do 2 things of your choice to make it better

Chetaslua

37,519 views • 7 months ago

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

Alex Barashkov

28,300 views • 3 months ago

LEAKED: Warner Bros and Pixar executives just called an emergency meeting after this 15-second render hit the internet. A 20-year-old solo creator generated a full 3D Looney Tunes action sequence of Wile E. Coyote riding an ACME rocket through Monument Valley, with ZERO CGI studio budget. Setup cost: $19. Render speed: 90 seconds. Animation studio: Bypassed entirely. 210 million views in 3 hours. Half the comments are screaming that it’s leaked footage from the shelved $70M "Coyote vs. ACME" movie, the other half are looking for a pre-order ticket link. Here are the details breaking the human brain: 1. Dynamic Micro-Fur Resistance: Real-time aerodynamic wind drag bending the Coyote’s ears, facial whiskers, and tail fur at Mach speeds. 2. Heat Haze Physics: Volumetric jet-flame heat distortion warping the red rock desert canyons continuously behind the ACME thruster. 3. Photorealistic Dust & Lighting: True particulate dust displacement off the dirt road synced with dynamic ray-traced camera tracking. The cutting-edge neural pipeline behind it: -> Gemini 3.6 Flash for writing spatial vector physics, acceleration logic, and camera tracking trajectories -> Sora Turbo for rendering hyper-realistic 3D character motion, desert landscape depth, and cinematic lighting shifts -> Kling 3.0 Omni for multi-agent physics, fur resistance dynamics, and jet-thruster particle effects -> Seedance 2.5 for locking Looney Tunes character geometry, ACME branding alignment, and stylistic continuity -> ElevenLabs Spatial for 3D binaural rocket thruster roar, wind shear acoustics, and canyon reverberation -> CapCut Pro for adding dynamic camera shake, motion blur speed ramps, and cinematic color correction Warner Bros spent $70,000,000 making "Coyote vs. ACME" only to lock it in a vault for tax write-offs. This solo creator rendered a box-office animation masterpiece before his morning coffee got cold.

LEAKED: Warner Bros and Pixar executives just called an emergency meeting after this 15-second render hit the internet. A 20-year-old solo creator generated a full 3D Looney Tunes action sequence of Wile E. Coyote riding an ACME rocket through Monument Valley, with ZERO CGI studio budget. Setup cost: $19. Render speed: 90 seconds. Animation studio: Bypassed entirely. 210 million views in 3 hours. Half the comments are screaming that it’s leaked footage from the shelved $70M "Coyote vs. ACME" movie, the other half are looking for a pre-order ticket link. Here are the details breaking the human brain: 1. Dynamic Micro-Fur Resistance: Real-time aerodynamic wind drag bending the Coyote’s ears, facial whiskers, and tail fur at Mach speeds. 2. Heat Haze Physics: Volumetric jet-flame heat distortion warping the red rock desert canyons continuously behind the ACME thruster. 3. Photorealistic Dust & Lighting: True particulate dust displacement off the dirt road synced with dynamic ray-traced camera tracking. The cutting-edge neural pipeline behind it: -> Gemini 3.6 Flash for writing spatial vector physics, acceleration logic, and camera tracking trajectories -> Sora Turbo for rendering hyper-realistic 3D character motion, desert landscape depth, and cinematic lighting shifts -> Kling 3.0 Omni for multi-agent physics, fur resistance dynamics, and jet-thruster particle effects -> Seedance 2.5 for locking Looney Tunes character geometry, ACME branding alignment, and stylistic continuity -> ElevenLabs Spatial for 3D binaural rocket thruster roar, wind shear acoustics, and canyon reverberation -> CapCut Pro for adding dynamic camera shake, motion blur speed ramps, and cinematic color correction Warner Bros spent $70,000,000 making "Coyote vs. ACME" only to lock it in a vault for tax write-offs. This solo creator rendered a box-office animation masterpiece before his morning coffee got cold.

shmidt

33,153 views • 1 month ago

A simple MPC controller for path tracking implemented in python. Few resources actually teach it without assuming a PhD first. This open-source project does exactly that: An iterative MPC tracking controller (built with CVXPY and MuJoCo) that shows how to make a robot (or autonomous vehicle) follow a path and avoid obstacles in real time. → Autonomous logistics, robot navigation, vehicle control; there's a path-following algorithm behind all of it. → Most implementations are black boxes. This one shows you what's actually happening. → It uses convex optimization (no non-linear solver), and still handles real vehicle physics through iterative linearization. What makes it practical is that you can run it with the mushr car model in MuJoCo, or headless without any physics simulation if you just want to understand the logic. If you're making the jump from classical control to real-time optimisation, this is a very good starting point. 📌 Repository: ——- Weekly robotics and AI insights. Subscribe free:

A simple MPC controller for path tracking implemented in python. Few resources actually teach it without assuming a PhD first. This open-source project does exactly that: An iterative MPC tracking controller (built with CVXPY and MuJoCo) that shows how to make a robot (or autonomous vehicle) follow a path and avoid obstacles in real time. → Autonomous logistics, robot navigation, vehicle control; there's a path-following algorithm behind all of it. → Most implementations are black boxes. This one shows you what's actually happening. → It uses convex optimization (no non-linear solver), and still handles real vehicle physics through iterative linearization. What makes it practical is that you can run it with the mushr car model in MuJoCo, or headless without any physics simulation if you just want to understand the logic. If you're making the jump from classical control to real-time optimisation, this is a very good starting point. 📌 Repository: ——- Weekly robotics and AI insights. Subscribe free:

Ilir Aliu

16,064 views • 1 month ago

This isn’t a 3D model file. It’s 100% code Our world-famous Mars Cat avatar has been reconstructed entirely as Three.js source code No GLB at runtime. No model download. No textures or UV atlas. Just code, rendered directly in the browser It was created with IMG2THREEJS by Nick. An incredible open-source project with over 15,000 stars on GitHub And our Mars Cat is now featured on the home page gallery See it live below ↓. Grab the code. Add it to your game New to Three.js? It’s one of the most popular open-source JavaScript libraries for building interactive 3D experiences and games on the web

Jay B 😻🚀

15,044 views • 1 month ago

We just launched Claude Sonnet 4.5 and “Imagine with Claude”, a 5-day preview that creates dynamic experiences for you in real-time (and the first product I’ve worked on at Anthropic!). It pioneers the concept of “model-as-backend”, using a model to not only generate interfaces on the fly but also power all the functionality behind it – all made possible by our newest model, Claude Sonnet 4.5. Here’s a "choose your own adventure" version of my founder journey, as retold by Imagine with Claude:

We just launched Claude Sonnet 4.5 and “Imagine with Claude”, a 5-day preview that creates dynamic experiences for you in real-time (and the first product I’ve worked on at Anthropic!). It pioneers the concept of “model-as-backend”, using a model to not only generate interfaces on the fly but also power all the functionality behind it – all made possible by our newest model, Claude Sonnet 4.5. Here’s a "choose your own adventure" version of my founder journey, as retold by Imagine with Claude:

Sean Strong

115,727 views • 1 year ago

AI 3D animations are pulling millions of views right now, not just as paid ads, but organically too this format can sell literally anything: ebooks, courses, supplements, peptides, apps, communities - whatever and you can make them in under 10 minutes, all you need is: - a script (claude with copywriting skill) - a strong first frame (Nano Banana Pro) - Veo 3 to animate it this workflow is so easy and repeatable you can automate the whole thing without any fancy tools that’s it. you just saved hours and $1000+ on a 3D artist

AI 3D animations are pulling millions of views right now, not just as paid ads, but organically too this format can sell literally anything: ebooks, courses, supplements, peptides, apps, communities - whatever and you can make them in under 10 minutes, all you need is: - a script (claude with copywriting skill) - a strong first frame (Nano Banana Pro) - Veo 3 to animate it this workflow is so easy and repeatable you can automate the whole thing without any fancy tools that’s it. you just saved hours and $1000+ on a 3D artist

MAX

267,338 views • 7 months ago