World Models with NVIDIA Cosmos: Physical AI - AI Build & Learn

​Welcome to AI Build & Learn, a weekly AI engineering stream where we pick a new topic and learn by building together. ​This event goes bigger on world models with NVIDIA Cosmos, an open family of world foundation models built for physical AI. Where DreamerV3 learns a small world model for a single agent, Cosmos is a large generative model that simulates the physical world itself: predicting future video, running action-conditioned rollouts, and generating synthetic data to train robots and autonomous machines. It ties directly back to the Isaac Sim event. ​Cosmos 3 (released 2026) exposes two surfaces: a Reasoner for understanding and planning, and a Generator for world simulation and future prediction. The weights are open (OpenMDW license) and available on Hugging Face. ​Some things to look up to get started: ​Model: * ​NVIDIA Cosmos (open platform of world models): https://github.com/nvidia/cosmos * ​Cosmos overview: https://www.nvidia.com/en-us/ai/cosmos/ * ​Cosmos Cookbook (runnable recipes): https://nvidia-cosmos.github.io/cosmos-cookbook/ ​​​Resources * ​​​GitHub: https://github.com/sagecodes/ai-build-and-learn * ​​​Events Calendar: https://luma.com/ai-builders-and-learners * ​​​Slack (Discuss during the week): https://slack.flyte.org/ * ​​​Hosted by Sage Elliott: https://www.linkedin.com/in/sageelliott/ ​​In this stream * Intro to topic * ​​​​Community Discussion * Practical examples ​​​Community challenge (optional) ​​​Try spending 30–90 minutes during the week learning or building something related to the topic, then share what you’re working on in Slack. ​​​Note on Flyte / Union ​​​You may see Flyte used in some demos. Flyte is an open-source AI orchestration platform maintained by Union (where I work) for building scalable, durable, and observable AI workflows. You do not need to use Flyte to participate. * ​​​Union: https://www.union.ai/ * ​​​Flyte: https://flyte.org/ ​​​Drop a comment with ideas for future topics (agents, RAG, MLOps, robotics, frameworks, and more).