World model companies are keeping a lot of secrets
World model startups AMI Labs and World Labs are staying quiet on product plans, commercializing slowly despite heavy funding and industry buzz.
TechCrunch reports that leading world model companies, including Yann LeCun's AMI Labs and Fei-Fei Li's World Labs, remain deliberately vague about products and timelines despite significant funding. AMI Labs VP Michael Rabbat said the company is still in a research phase, while World Labs' Marble is the most developed product but mostly demonstrates capabilities in media creation and explorable environments. Data supplier Physicl says customer secrecy prevents it from building maximally useful training data. The piece argues secrecy is strategic, since announcing a product would quickly attract funded rivals including OpenAI and Anthropic.
- AMI Labs (Yann LeCun) and World Labs (Fei-Fei Li) dominate world models with strong funding but low commercialization pressure.
- Applications span robotics, self-driving, interactive video, manufacturing, biomedicine, and explorable 3D environments.
- World Labs' Marble is the most mature product, oriented toward demos like media creation and game environments.
- Physicl CEO Alex de Vigan says customers' secrecy hampers building targeted training data.
- Secrecy delays competition: a product announcement would draw neolabs, OpenAI, and Anthropic into the space.
Full article738 words · extracted from techcrunch.com · click to collapse
This week, I moderated a panel on world models at the All In conference (no relation to the podcast), and it gave me a chance to dig into one of the most mysterious corners of the AI world. The big players in the space are Yann LeCun’s AMI Labs and Fei-Fei Li’s World Labs — and while both have accumulated a lot of buzz and funding, they also rank pretty low on the trying-to-make-money scale.
At their core, world models are about automating spatial intelligence, so the field could head in lots of exciting and lucrative directions, from robotics to interactive video to more complex self-driving systems.
But when I started to press on where we would actually see the tech commercialized, things got foggy. The closest thing I found to an authority was Michael Rabbat, a co-founder of AMI Labs and the company’s VP of World Models, who joined me on the panel. But when I pressed him on exactly what the company was working on, he was cagey. “We’ll talk about it when we’re ready to talk about it.” Over email, he clarified, “We’re still in a research and building phase, so we’re not talking publicly about any product plans or timeline.”
To be fair, AMI is less than a year old, so it’s fair enough to keep quiet. But this sort of caginess extends to the whole world-modeling space. World Labs’ Marble is probably the most fully developed product in the space, and its demos range from straightforward media creation, building explorable environments for video games, or CGI effects. There are robotics use cases too, but the whole platform seems more designed to demonstrate capabilities.
That secrecy even extends to these companies’ suppliers. On the sidelines of the same conference, I spoke to Alex de Vigan, CEO of Physicl — a data supplier for the burgeoning world model business. He says he knows Physicl’s data has been useful for whatever they’re building, but he’s still in the dark about what exactly that is. “I wish they would tell us more. We could build more useful data if we knew what they were working on,” de Vigan told me.
Part of the mystery comes from how versatile world models are as an idea. The simplest version is a navigable map of the world, similar to the AI models that power self-driving cars. But the same modeling approach that helps a Waymo weave through traffic could also help a humanoid robot carry boxes, or turn a few minutes of video footage into an explorable environment. AMI has already dipped its toe in manufacturing, biomedicine, robotics, and even AI software for doctors through its Nabia partnership. Surely it won’t pursue all of those — but maybe one or two of them are standing out?
No one doubts that there are lots of viable businesses to be built on world model tech — and as long as it’s easy to fundraise, there’s no particular pressure to focus on one. In fact, there’s good reason not to. If AMI announced tomorrow that they had built a humanoid OpenClaw or a next-generation Hollywood rendering system, a lot of other labs would suddenly be very interested in the space. Soon, the lab would face potential competition from the other world model companies, the neolabs, and even OpenAI and Anthropic.
In some ways, it’s the flip side of all that easy fundraising. Your competitors can fundraise, too — and the same money that lets you build under the radar is also funding lots of potential rivals once the path to market becomes clear. But even if that competition is inevitable, it’s best if you delay it for as long as possible, which means keeping quiet about exactly what you’re building.
Cixin Liu fans will recognize this as a dark forest scenario: If you don’t know who else is in the woods, it’s best not to attract attention.
This post was first published on September 18, 2026.
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Russell Brandom has been covering the tech industry since 2012, with a focus on platform policy and emerging technologies. He previously worked at The Verge and Rest of World, and has written for Wired, The Awl and MIT’s Technology Review. He can be reached at russell.brandom@techcrunch.com or on Signal at 412-401-5489.