World model companies are keeping a lot of secrets
Major AI companies developing world models, such as Yann LeCun's AMI Labs and Fei-Fei Li's World Labs, are maintaining strict 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 despite providing essential resources. 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.
- ▪AMI Labs and World Labs are leading players in the world model space but have not yet revealed concrete product plans or commercialization schedules.
- ▪Michael Rabbat, VP of World Models at AMI Labs, stated that the company is still in a research and building phase and will not discuss specific products publicly.
- ▪Data supplier Physicl's CEO expressed frustration that he does not know what his clients are building, which limits his ability to provide more targeted data.
- ▪World models have versatile applications ranging from robotics and self-driving systems to interactive video and media creation.
- ▪Companies keep their developments secret to delay attracting competition from other well-funded AI labs and major tech firms.
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| Original publisher | TechCrunch |
| Canonical URL | https://techcrunch.com/2026/09/20/world-model-companies-are-keeping-a-lot-of-secrets/ |
| Publication time | Sun, 20 Sep 2026 20:29:07 +0000 |
| Retrieval time | 2026-09-20T20:33:47.002Z |
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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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