I am SO excited to be sharing that I am joining @BerntBornich and @1x_tech to lead the new 1X World Model Lab aimed at building the next frontier of embodied AI! The core guiding principle of the lab is: scale up along every damn axis!! 🚀 Robotics data is NOT a second-class citizen - it is too important of a problem to be left to fine tuning! Your model needs to see your most important tokens from step 0 We need to think about robotics through the first principles of AI: how do we best utilize the vast amounts of web-scale media and how do we create a data-flywheel to collect millions of hours of rich robot interactions. There is no other moat in AI outside of data and @1x_tech has done an INCREDIBLE job scaling manufacturing, production and hardware to build humanoid robots that can create a unique data-flywheel in unstructured environments. Scaling data collection for highly dexterous on-policy robot data will be the only way for creating a moat in AI. @JackMonas and team have made great progress in building World Models, and now the goal is to supercharge this effort by starting a hyper-focused scale and data-pilled lab. Before scaling compute / data / models, we are currently RAPIDLY scaling our team and hiring across the 4 core pillars of AI: model data, data infra, ML infra and evals. Looking for folks that are excited about the 0->1 problem and share the same principles as us. There’s a single application for everyone in the lab - if you’re a good at engineering and ML, we will find a place for you in the team ❤️ AGI won’t be solved by fine-tuning… Let’s build the next frontier of AI together 🚀 My DMs are always open!!

already a huge @_sam_sinha_ fan. so excited to have him lead the new 1X World Model Lab :) he and @BerntBornich sat down with @Forbes earlier this week to talk about the role of the lab in our NEO roadmap and why "you can't fine-tune your way to AGI" read it here: forbes.com/sites/johnkoetsie…

This is going to be fun....excited to scale this up with you @_sam_sinha_!

📢📢📢 Velox 🚀: Learning Representations of 4D Geometry and Appearance In our #CVPR2026 paper, we introduce a method for learning a native 4D representation, useful for many downstream tasks, such as video-to-4D, 3D tracking, cloth simulation, and others! 🌐: apple.github.io/ml-velox 📝: arxiv.org/abs/2605.04527

After 4 incredible years, today marks my last day at @LumaLabsAI. I’m so proud to have helped build the company from 5 to 250 people. Luma started as a humble attempt at bringing NeRFs to smartphones in 2022, and is currently an extremely successful startup capable of training frontier models that can truly compete with the best generative models in the world. I have so much love and respect for the whole team but I want to give a special thanks to @baaadas - for trusting me 3 years ago and deciding to join Luma and help us be a serious generative AI company, and then for building a culture that allowed me to do my best work ❤️ Finally, I’m so proud of our most ambitious and impressive model release: Uni-1, an industry defining unified multimodal model that will shape the future of the company, and the field for years to come. Working relentlessly on the project with some of my favourite people was the highlight of my career thus far. This project wouldn’t be possible without @shenbokui for his leadership and the rest of the Omni team for the incredible execution and dedication to the mission 🚀 Will take a week off to visit 🇨🇦 but have some exciting updates to share soon after 👀

Congrats @ayaanzhaque Alex and the ImageGen team! Clearly the path forward is intelligent image generation!

📢 Check out Lyra 2.0: large-scale generative worlds with a 3D-consistent video diffusion model. Optionally, feed-forward 3DGS and/or mesh reconstructions. Great work by @TianchangS, @xuanchi13, and the rest of the crew. Grateful for my time with all of these brilliant people 🙏

The fact that Claude code was built without Claude code is the most impressive thing to me ngl

Most image models are good at one thing. Uni-1 has been good at everything we've thrown at it. Our team generated thousands of images leading up to Uni-1 launch. We embedded them all into a single map where visual similarity determines proximity. The result speaks for itself.

🙌 we have the greatest team and you could be a part of it.

Find me another model with this kind of range 😍 Oh btw we are hiring @LumaLabsAI !DMs always open

Sometimes all you need a small focused team and bit of crazy to do something crazy! Still can’t believe it’s out 🥹

Things are getting very real

Wow this OpenAI company seems promising! Too early to say where this technology is going to go though

Don’t hate on diffusion! But there is more to the world than 2023 level high aesthetic moody images. That will always be key for many users, but our goal is to think bigger and build the next great frontier, not reinvent the same old (btw are aesthetics are also v good)