world-models

Google DeepMind researchers developed GenCeption, which repurposes Alibaba's Wan2.1 video generator for computer vision tasks including depth estimation, segmentation, and 3D pose estimation. The model matches state-of-the-art specialized systems while training on only 7,500 synthetic videos—between 7 and 500 times less data than competing approaches.

NVIDIA has released Cosmos 3 Edge, a 4-billion-parameter open world model designed for edge AI systems. The model delivers real-time robot control at 15 Hz on NVIDIA Jetson devices, generating 32 actions per inference at 640×360 resolution.

Nvidia released Cosmos 3 Edge, a world model designed for robots and vision AI agents to perceive and navigate physical environments in real time. The company announced partnerships with Japanese industrial giants including Fujitsu, Hitachi, and Kawasaki Heavy Industries as part of its physical AI expansion.

NVIDIA released Cosmos 3, an omnimodal world foundation model platform for Physical AI spanning robotics, autonomous driving, and industrial environments. The flagship Cosmos3-Super variant contains 64 billion parameters and generates video, images, audio, and action commands from text, image, video, and action trajectory inputs using a Mixture-of-Transformers architecture.

NVIDIA released Cosmos3-Super, a 64-billion parameter omnimodal foundation model that generates video, images, audio, and action commands from combinations of text, image, video, and action trajectory inputs. The model, part of the Cosmos3 collection, targets Physical AI applications including robotics, autonomous vehicles, and industrial automation.

NVIDIA has released Cosmos3-Nano, a 16-billion parameter omnimodal world model capable of generating video, audio, images, and robot action commands from combinations of text, image, video, and action trajectory inputs. The model supports a 256K token context window and is designed for Physical AI applications including robotics, autonomous vehicles, and smart manufacturing environments.

Google DeepMind has integrated its Genie world model with Street View's 280 billion images spanning 110 countries, enabling users to explore AI-generated simulations of real locations. Waymo is already using Genie 3 to train self-driving cars on rare scenarios like tornadoes and unexpected obstacles.

Google DeepMind launched Street View integration with its Genie 3 world model at I/O 2026, allowing users to simulate real-world locations from 280 billion images across 110 countries. The feature enables environment modification including weather changes and supports robotics training, with initial access for U.S. Ultra subscribers expanding globally.

Google released Gemini 3.5 Flash, priced at half to one-third the cost of comparable frontier models, and announced it will become the default model in the Gemini app globally. The company also unveiled Omni, a world model for simulating physical environments, and Gemini Spark, an AI agent in beta testing.

NVIDIA published a technical guide for parameter-efficient fine-tuning of its Cosmos Predict 2.5 world model using LoRA and DoRA adapters. The method allows teams to adapt the 2B-parameter model to robot manipulation tasks on a single 80GB GPU, generating synthetic training trajectories from just 92 demonstration videos.

Tencent has released HY-World 2.0, an open-source multi-modal world model that generates navigable 3D environments from text prompts, single images, multi-view images, or video. The model produces editable 3D assets including meshes and 3D Gaussian Splattings that can be directly imported into game engines like Unity and Unreal Engine.

OpenAI President Greg Brockman stated that GPT reasoning models have 'line of sight' to AGI and represents a settled debate on whether text-based models can achieve general intelligence. The company is prioritizing this approach over multimodal world models like Sora, which Brockman views as 'a different branch of the tech tree.' The stance contradicts prominent AI researchers including Yann LeCun and Demis Hassabis, who argue LLMs alone are insufficient for human-level intelligence.

AMI Labs, cofounded by Turing Prize winner Yann LeCun, has raised $1.03 billion at a $3.5 billion pre-money valuation. The funding will support the company's effort to develop world models, marking a major commitment to foundational AI research outside of existing tech giants.

World Labs, the AI startup founded by Fei-Fei Li, has raised $1 billion in new funding to develop spatial intelligence—AI systems capable of understanding and operating in three-dimensional physical environments. The capital will fund the development of world models, a class of AI architecture designed to reason about spatial relationships and physical interactions.