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What if you could npm install 3D models? Introducing Vibe3D - the shadcn for threejs Starting with the scifi asset kit, over 180+ models, all free and oss (MIT licensed) and two reference terrain meshes. All models are installed directly into your codebase instead of pre-packaged as code imports...

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✨ I made a little demo of #vibejam sponsor Tripo and how you can use it to generate assets for your games In this case I'm generating an apartment flat that's half destroyed and open for my drone sim to fly around, take cover and shoot at enemies from First I write the prompt and select Nano Banana to generate an image first, I get a few different ones, and I select the one I like Then that one is converted into a 3d object called a Smart Mesh Smart Mesh is different than regular image-to-3d models because usually you get issues with uneven polygon distribution, too dense geometry and poor edge flow, so while you think you save time with generating it with AI you end up doing lots of editing after to fix the topology which kinda defeats the point Smart Mesh doesn't have any of this, it's fast and clean low-poly models you can drop into your game Anyway, after generating the model I can then see it in 3d, and if I don't like it, regenerate it, or if I like it start texturing it Once that's done, I export it as a GLB, FBX or OBJ and drop it in (usually I use GLB as ThreeJS seems to prefer that), in my case I just drop the URL into Cursor and let it figure out the placement of the asset into my game!
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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

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0:20

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MIT PhD student Alex Zhang reveals the scaling result where a model trained on short tasks generalizes to problems 100x longer for free: "If you're very clever about the design of your harness or how you use the language model, you can almost get scaling gains for free." "If you train a model naively, there's no tricks. It's just the same way you train a model on these RL environments. You just roll it out, and then you just get some reward." "If you train it on only short tasks, like only tasks that are 10,000 tokens long, and then you were to run it on a similar domain, but at a million tokens, or 10 million tokens, or 100,000 tokens, it generalizes really, really well. If you look at it compared to even the base transformer, you get way better generalization properties." "When the model uses an RLM (Recursive Language Model) after it's trained on these short tasks, it will see some kind of trajectory of actions that it does. Between these two problems of different lengths, the RLM learns to see them as almost the same problem." "Token for token, they're almost the same. You can describe it in code. In one code setting, maybe the for loop is a little bigger, but it's the same kind of code and it derives the constants from the data. There's no hard coding, so they literally look the same." alex zhang

MTS

100,519 Aufrufe • vor 28 Tagen

How to use 50+ API keys (models) for FREE on OpenClaw API??? - go to - login or register your account - click on "more models" - click on "use case" and select what you need it for - choose the model and open it - click on "view code" → "Generate API key" many models don't allow direct deploy, so use the "view code" button to generate API access basically Nvidia NIM gives you the ability to test almost any model from their list for FREE some of them are not worse than GPT 5.2 or Claude Opus 4.6, some might even perform better depending on the task how to understand if a model is efficient and compare it with others??? - go to - type the model name in search - click on "benchmarks" - you’ll see performance tests and rankings this way you can easily compare free models with paid ones of course there are RPM limits, on many models it’s around ~40 requests per minute each model is different, after generating the API key, RPM limits are shown in the top-right corner nothing stops you from using them, many work perfectly fine, super solid option for first tests and for learning OpenClaw or any other system where you need an AI API model
1:54

How to use 50+ API keys (models) for FREE on OpenClaw API??? - go to - login or register your account - click on "more models" - click on "use case" and select what you need it for - choose the model and open it - click on "view code" → "Generate API key" many models don't allow direct deploy, so use the "view code" button to generate API access basically Nvidia NIM gives you the ability to test almost any model from their list for FREE some of them are not worse than GPT 5.2 or Claude Opus 4.6, some might even perform better depending on the task how to understand if a model is efficient and compare it with others??? - go to - type the model name in search - click on "benchmarks" - you’ll see performance tests and rankings this way you can easily compare free models with paid ones of course there are RPM limits, on many models it’s around ~40 requests per minute each model is different, after generating the API key, RPM limits are shown in the top-right corner nothing stops you from using them, many work perfectly fine, super solid option for first tests and for learning OpenClaw or any other system where you need an AI API model

Ronin

58,846 Aufrufe • vor 5 Monaten

i've just turned 30 in my current timezone. therefore, i am giving a gift to all clonex holders. no blur this time. today is the "official" release of the alpha version of storymode DLC. while this version is stripped from all AI integrations (for multiple reasons which i wont get into now), it integrate a ready-to-use by all assembly line. you can now just connect, select your clone, have it assembled it directly and download it as a GLB. community is more than welcome to improve the interface of storymode to make the viewer better, maybe even add a VRM exporter? the API to get the traits + files is always available for all with a documentation enjoy (and happy birthday to me) Github : Link : special thanks to beb.tools Samsy Ash CreaBilly.ETH for the help 🥰 PS : the 3d models aren't (at all) optimized so they might be slow to load. sorry, i have no 3d talents.
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i've just turned 30 in my current timezone. therefore, i am giving a gift to all clonex holders. no blur this time. today is the "official" release of the alpha version of storymode DLC. while this version is stripped from all AI integrations (for multiple reasons which i wont get into now), it integrate a ready-to-use by all assembly line. you can now just connect, select your clone, have it assembled it directly and download it as a GLB. community is more than welcome to improve the interface of storymode to make the viewer better, maybe even add a VRM exporter? the API to get the traits + files is always available for all with a documentation enjoy (and happy birthday to me) Github : Link : special thanks to beb.tools Samsy Ash CreaBilly.ETH for the help 🥰 PS : the 3d models aren't (at all) optimized so they might be slow to load. sorry, i have no 3d talents.

Samuel Cardillo

23,121 Aufrufe • vor 1 Jahr

Ran Fable Ultracode overnight to build out a prototype for Terrain Pro. I asked it to build out an erosion model, some procedural textures and terrain editing tools. Honestly, this looks terrible and isn't passable quality for anything except a vibe-coded game. The issue with making high quality terrain is you need a lot of high quality textures (grass, dirt, pebbles, sand) and props (trees, rocks) to go along with the underlying terrain mesh. Otherwise it's just an erosion tech demo. I'm using EZ-Tree right now to populate the trees, but EZ-Tree also isn't where it needs to be to support the vision I have in mind. I could use something like SpeedTree, but that might get pricey. If anyone knows of a good library of textures/assets with reasonable licensing terms, let me know in the comments!
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Ran Fable Ultracode overnight to build out a prototype for Terrain Pro. I asked it to build out an erosion model, some procedural textures and terrain editing tools. Honestly, this looks terrible and isn't passable quality for anything except a vibe-coded game. The issue with making high quality terrain is you need a lot of high quality textures (grass, dirt, pebbles, sand) and props (trees, rocks) to go along with the underlying terrain mesh. Otherwise it's just an erosion tech demo. I'm using EZ-Tree right now to populate the trees, but EZ-Tree also isn't where it needs to be to support the vision I have in mind. I could use something like SpeedTree, but that might get pricey. If anyone knows of a good library of textures/assets with reasonable licensing terms, let me know in the comments!

Dan Greenheck

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