Fei-Fei Li

When SceniX joined World Labs, we said spatial intelligence was never only about perceiving and generating virtual and physical worlds, but also interacting with them. Today, we’re sharing early results from that vision: building worlds that train robots. 🌎🤖↓

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With the help of generative world models, a real-to-sim-to-real (R2S2R) simulation engine turns one physical task into many controllable, reusable worlds, helping robotics teams train policy models and test changes faster, uncover failures earlier, and reduce costly experimentation on hardware.

The world is not just made of words, and spatial intelligence was never just about perceiving and generating worlds. It's about interacting with them. Today, SceniX is joining World Labs. 🌎🤖👇

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@YunzhuLiYZ, @fast_sploosh, and @xhsonny have built a remarkable team that is training and evaluating robots in high-fidelity simulation – proven not only in lab demos, but in live deployments on real hardware. Last month, we wrote that the boundaries between rendering, simulation, and planning are beginning to blur. Bringing our world models together with SceniX's simulation and robotics expertise is an important step in our quest for spatial intelligence. Welcome to the team. Read the full announcement: t.co/IUSawjTwz5

I’m very excited by this test time training work for robotic learning! It’s an awesome collaboration between @StanfordSVL and @NVIDIARobotics ! x.com/drjimfan/statu…

AI’s next chapter will be defined not only by technical progress, but by how responsibly and thoughtfully we bring it into the world. I’m looking forward to be speaking on stage at Ai4 2026, Aug 4–6 in Vegas. Register here at ai4.io/register/ #Ai42026

1/N Long horizon, complex tasks that truly matter in everyday life are not solved problems by today’s robotics, requiring planning, object detection, object manipulation, and failure recovery. That's why Stanford's BEHAVIOR Challenge is back for year 2! Last year, the winning solution reached only 12.4% full task success. This year, the BEHAVIOR challenge has more tasks, better evaluation, and is easier to use. 🚨 ⏰ Submission deadline: 10/16/2026 📣 Winners announced: 11/04/2026 🏆 Prize pool: $11,000

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2/N Real-world robot evaluation is essential but hard to scale: experiments are difficult to control, reproduce, and compare. Simulation is a powerful testbed for scalable, controlled, reproducible evaluation. BEHAVIOR-1K is an open-source simulation benchmark of 1,000 everyday household activities requiring long-horizon reasoning, navigation, and bimanual manipulation, giving us a scalable way to measure how well robot AI models generalize. t.co/lV8BelxBCq

Your thoughtful reflection is so inspiring and encouraging @smallfly ! As everyone talks about AI and automation, human creativity, story telling and productivity are even more important and essential to our society. @theworldlabs is founded on the premise of empowering human ingenuity and productivity. We are very grateful to be able to work with people like you! 🙏🌐

Scientific research is fundamental to advancing civilization and helping people globally to solve the most critical problems, from medicine to materials, from brain science to physics, and much beyond. This is only possible when scientists have access to the best tools of the time to conduct scientific research, including having access to AI-based tools.

The creativity and imagination is out of the world! So grateful that @theworldlabs got to partner with the amazing talents @withloreco to translate their incredible ideas into an interactive experiences for users to enjoy!🤩 x.com/theworldlabs/s…