Real-time generation isn’t about predicting the next pixel, it... requires understanding the structure and context of a 3D world. That’s the shift. Read more about our real-time game-native diffusion model on our blog. Moonlake's Reverie v0.1.0show more

Game generation → diffusion output, end-to-end. From prompt to... scene: a moon-like environment created in our engine and reskinned into flexible media assets. Built on our web app.show more

Meet 3D Gaussian Splatting - a 3D AI breakthrough... that’s changing the game for real-time 3D rendering. It generates 3D world with state-of-the-art visuals at fast speeds: 100+ fps at 1080p. Here’s the magic behind it:show more

The world of Pengu: Understanding the fundamentals to our... shared future. Track Pengu's mindshare, holder count, followers, big brand partnerships, and more, all in real time, updated every second.show more

$0.003/sec changes the economics of running real-time AI video.... I’ve been testing Vivix W1, and that number is hard to ignore. The comparison shows visual quality on par with the models alongside W1. About a second of generation time per second of footage, too. But W1 isn’t just another video generator. It’s built for real-time interactive video, where the model keeps generating as the experience moves forward. Every second of that experience adds to the generation bill. At $0.003/sec, you can actually start thinking about a story that keeps going as viewers make choices. Vivix.AI already supports real-time generation through the API. The browser playground currently uses offline generation, with real-time browser tools coming soon. Continuous video is one thing. Giving viewers meaningful control is another. If I change my mind halfway through a story, how much can it actually change with me? That’s the interesting challenge. The next plot twist could be yours 👇show more

This is the real price of Ukrainian grain. Remember... it next time you read about who buys the stolen grain Russia sells. Video: Natalia Dobroliezhashow more

Video generation is powerful but too slow for real-world... robotic tasks. How can we enable both video and action generation while ensuring real-time policy inference? Check out our work on the Unified Video Action Model (UVA) to find out! (1/7)show more

As announced in partnership with NVIDIA at CES, we’re... excited to introduce Stable Point Aware 3D (SPAR3D), setting a new standard in 3D generation. Ideal for running on NVIDIA RTX AI PCs, SPAR3D enables real-time editing and complete structure generation of 3D objects from a single image in under a second. You can download the weights on Hugging Face and code on GitHub, or access the model through the Stability AI API. Learn more here: (1/3)show more

Power Surge is less than 24h away! Read more... about the upcoming update on our latest Dev Blog ⚡️show more

Web3 gaming isn’t ready for what’s coming. AI wallets.... Real-time player intel. On-chain smarts baked into every move. This is the brain of the next generation 🧠🐳 CCN Read the full article here 📖show more

So, today we have fast SDF sculpting + real-time... AI in Unbound Loop. Old news🥱 Coming up next: -quad-view generation from sculpted geometry -image tweaks via nano🍌 -tripo HD & Low-Poly 3D generation There's more in the upcoming release, but these three deserve a closer look: Quad-View Generation Most platforms offer some version of this, but Loop has a key advantage, your sculpted model is the reference. That means less guessing from the generator. Though it’s not 100% foolproof, like any AI I guess? (I should stop stating the obvious every time). Image Tweaks via Chat Select any generated image and ask for fixes or changes in real time. Works great on unintended quad-view hallucinations, but also handy for quick iterations. Swapping colors, tweaking details, removing elements. Tripo 3D generator Especially the low-poly model, it consistently delivered fantastic game-ready topology when we tried it with our real-time AI output. And it's super fast.show more

The next multiplayer playtest starts in under 30 minutes.... Come see us on the Discord. The Next Generation of Real-time Strategy!show more

We refreshed our logo to better reflect what we... are building: multimodal world models that simulate environments, predict outcomes, and enable planning over long horizons. We kept the moon from our original mark and evolved it into a symbol of depth, generation, and evolving worlds.show more

Real-time conversations for game-time decisions on #Pixel10 Share your... 📷 in Google Gemini Live & get a highlighted solution for even more precise responses—like the perfect ingredient swap 🍽️¹ Check it out on Pixel 10, Pixel 10 Pro, & Pixel 10 Pro Fold:show more

Matrix-Game 2.0 — The FIRST open-source, real-time, long-sequence interactive... world model Last week, DeepMind's Genie 3 shook the AI world with real-time interactive world models. But... it wasn't open-sourced. Today, Matrix-Game 2.0 changed the game. 🚀 25FPS. Minutes-long interaction. Fully open-source.show more

That’s a wrap on Day 2 at #ConsensusHK by... CoinDesk! @roeisoud37097 & @DagaCMO were on the ground, connecting with Builders and Web3 leaders while sharing more about our vision at Incentiv. Great conversations, solid connections, and plenty of pictures to remember it all. Until next time 🤝show more

DimensionX: Create Any 3D and 4D Scenes from a... Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.show more

World modeling and imitation learning have largely been considered... two disparate worlds. In our recent work, Unified World Models, just accepted to #RSS2025, Chuning Zhu provides a dead-simple unifying solution: just train a joint diffusion model over actions and future states, but with *decoupled* diffusion time steps across these modalities. Manipulating these decoupled time steps then allows for marginalization or conditioning on actions or states; a single model can serve as a policy, forward dynamics model, video prediction model, or inverse dynamics model by simply setting diffusion timesteps carefully. The resulting model can leverage video datasets along with robot training data much more effectively, and shows improved robustness, generalization, and flexibility. This is exciting because it is frustratingly simple, scalable, and shows strong improvement on real-world robotics problems. Please refer to Chuning Zhu 's excellent thread for more details! More details/code can be found on our website and in the paper -show more

Real Madrid legend Luka Modrić opened up about his... unforgettable clashes against Lionel Messi and Cristiano Ronaldo on the biggest stage the World Cup. “The match against Argentina wasn’t a fair match they played us dirty and everyone saw it. While the match against Portugal this World Cup was fair to me, we did our best in that. The reason I respect Ronaldo more than Messi is about playing fair. That’s what makes you a real legend.”show more