Christian Laforte

I left Stability AI in late July 2024 to join a new stealth HW startup. I want to thank my former Stability AI colleagues for a year and a half filled with exciting challenges, discoveries and technical achievements. I wish them all the best.

Over the past year, I've been volunteering with California Search and Rescue occasionally. If you're in the Bay Area, love hiking or backpacking, want to learn skills like wilderness first aid & navigation, meet like-minded people, and give back to the community, Search and Rescue is an incredible opportunity: cal-esar.org/join-us

Today, we're announcing not one, but two of the @moonlake team on stage at AUTONOMOUS. @sharonal_lee and @sunfanyun, Co-Founders of Moonlake AI, will be on our Frontier Stage to discuss Where Robots Learn Before the Real World. 🗓️San Francisco, July 16th 📍 The Midway 🎟️ autonomousfuture.co Moonlake builds generative world models that turn a plain-language prompt into an interactive 3D environment in minutes. From text to the system compiling a training experience with physics, agents, and logic. Out of @Stanford's AI lab, and then again out of stealth in late 2025 with a flying start, with a round led by NVIDIA's NVentures & others.

This Thursday in SF. Come by to say hi, will be sharing some of our latest! luma.com/lk9se5mi

@chrmanning is sharing our approach to embodied general intelligence at AI Engineers! Room 2006

Makes me happy when we put all our gaming GPUs + Workstations and Macs to work. OxCapsule QWEN 3.5-397B demo youtu.be/gDGGy5r29eQ?is… via @YouTube

@RajaXg Congratulations!

Introducing Moonlake's 3D Agent. Our agent acts like a technical artist that can build and reconstruct articulated assets and large-scale editable scenes with hundreds of objects from a single image and can improve its generations continuously. Learn more in the thread below.

We are happy to announce that Moonlake AI has been named on the 2026 @CBinsights AI 100 list. One of the 4 on infrastructure and world models. Read more here: cbinsights.com/research/repor…

Someone has launched a coin while impersonating Moonlake AI. To be absolutely clear: Moonlake AI has never launched, endorsed, or been involved with any token, memecoin, cryptocurrency, or blockchain project. We have zero plans to do so. Our entire focus is building world models and simulation infrastructure. The individuals behind this coin are using Moonlake AI’s name, branding, and logo without authorization. Any claims that this coin is affiliated with, endorsed by, partnered with, or connected to Moonlake AI are completely false. We have already submitted reports for impersonation and fraud. If you come across the account, project, or related posts, please report them as well. If anyone has contacts who can help remove the impersonation or escalate the report, I would greatly appreciate the introduction. Please help spread the word so nobody is misled. 🙏

Taking main stage at AWE 2026 to demystify world models alongside @bilawalsidhu. 9:55–10:45 AM, Grand Ballroom. Details in comments #awe2026

🚀

Excited to share that we are working with Nvidia to bring @moonlake's 3D Agent capabilities into NVIDIA's simulation ecosystem (@nvidiaomniverse) to help teams build assets, digital twins, and scenarios at scale. Here are 8 pairs of input images and the generated simulation-ready scenes. Read more here: moonlakeai.com/blog/simulatio…

Real-time neural rendering model @moonlake Works on from any physics/game engine to close the sim-to-real gap. If this is relevant to your team, I'd love to chat (my DM is open)!

One of the coolest project I've been involved in NVIDIA. The quality is insane. 👀

Quote retweet the post and we'll fast track your beta access application 💫 Sign up: app.moonlakeai.com Read more here: moonlakeai.com/blog/building-…

🚀 Diffusion too slow? Fix it in a few steps. 📢 Introducing NVIDIA FastGen — a plug-and-play research library for turning slow diffusion models into high-quality few-step generators. ⚡ What’s inside: • Consistency & MeanFlow (CM, sCM, TCM, MeanFlow) • Distribution Matching (DMD, f-Distill, LADD) • Long-video generation (CausVid, Self-Forcing) • Fine-tuning & KD (SFT, CausalSFT, KD, Causal KD) 🧠 Includes: 📷 EDM, DiT, SD 1.5, SDXL, Flux 🎬 WAN (T2V / I2V / VACE), CogVideoX, Cosmos Predict2 ✨ One unified interface. Research-ready. Apache-2.0. 🔗 Blog: nvda.ws/3LARhFy 💻 Code: github.com/NVlabs/FastGen

What if you could build a gameplay with precision, then restyle it to look like anything - anime, fantasy, cyberpunk? Introducing Reverie: a real-time, programmable diffusion model trained for games, capable of conditioning beyond pixels. AI tools are only meaningful when they can help realize creative vision, not replace it. Sign up for our hackathon in January below to be the first to build on Moonlake 👇

Looking for an RL algorithm for your video diffusion model? Worried about reward hacking? DDRL might be what you are looking for. Give it a try.