Decart is launching Oasis 3, a real-time world model designed to generate photorealistic driving environments for autonomous vehicle testing. The headline says it can simulate hours of driving, while also noting there are caveats. The model is now available through an API, giving developers a way to build applications or testing workflows on top of it.
Latent Space interviews Ethan He, who led Grok Imagine at xAI, about building the product in three months. The episode contrasts video generation with world models and explores why video agent models may become an important next step. It also argues that Grok Imagine remains underrated, while the supplied description does not include architecture details or benchmark results.
Latent Space interviews Biohub’s Alex Rives about ESMFold2 and the broader ESM protein modeling stack. The discussion centers on datasets versus inductive bias, and whether protein biology is entering its own Bitter Lesson era. The key implication is that large-scale evolutionary sequence data and open models may become foundations for structure prediction, interaction modeling, and programmable biology.
As artificial intelligence advances toward Embodied AI and real-world physical interaction, high-fidelity 3D simulation environments have long been an…
Google DeepMind has officially opened its highly anticipated experimental research prototype, "Project Genie," to Google AI Ultra subscribers in the United…
Overworld has officially launched a new model called "Waypoint-1" on the Hugging Face platform. It is a world model focused on "Real-time Interactive Video…
NVIDIA and Hugging Face have jointly announced the launch of the new Cosmos Reason 2 model, marking a major breakthrough in the fields of Physical AI and…
Google DeepMind has officially unveiled its latest generation world model — Genie 3 — demonstrating a major breakthrough in generative AI's ability to…
At NVIDIA GTC 2025, NVIDIA unveiled a remarkable set of new open-source models and datasets for the field of "Physical AI" — also known as embodied…