World model companies are keeping a lot of secrets
Major AI companies developing world models, such as AMI Labs and World Labs, are maintaining significant secrecy regarding their specific product plans and commercialization timelines. This opacity extends even to their data suppliers, who remain unaware of the exact applications being built with their inputs. The strategic silence is driven by a desire to avoid attracting immediate competition from well-funded rivals in a rapidly evolving and versatile technological field.
- ▪Yann LeCun's AMI Labs and Fei-Fei Li's World Labs are leading the world model space but have not yet revealed concrete product roadmaps.
- ▪Michael Rabbatt, VP of World Models at AMI Labs, stated that the company is in a research phase and will not discuss product plans publicly until ready.
- ▪Physicl, a data supplier for world model companies, expressed frustration that its clients do not share enough details to allow for more targeted data creation.
- ▪World models have versatile applications ranging from robotics and self-driving systems to interactive video and CGI effects.
- ▪Companies keep their developments secret to delay the entry of competitors who could easily raise capital once a viable market path is identified.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/18/world-model-companies-are-keeping-a-lot-of-secrets/ |
| Publication time | Fri, 18 Sep 2026 20:18:14 +0000 |
| Retrieval time | 2026-09-18T20:18:45.584Z |
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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.
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