Fei-Fei Li announced on July 21st, 2026, that robotics simulation startup SceniX is joining World Labs, an organization focused on accelerating spatial-intelligence research. SceniX, founded by Yunzhu…
Physical AI systems such as robot foundation models (RFMs) pose urgent safety risks that are a blind spot in current AI safety research, according to a new analysis. Unlike disembodied LLMs, RFMs can …
World models, an AI architecture that learns dynamics from observation rather than predicting text, are emerging as the next frontier in artificial intelligence, with leaders including Yann LeCun, Dem…
A new hackathon platform, the One Shot Challenge, launches with free entry and sponsored prizes, requiring participants to build complete apps, games, or worlds from a single AI prompt using models li…
World models, a new category of AI that simulates the physical world, are gaining momentum as an alternative to large language models (LLMs), with experts from MIT, Runway, and World Labs highlighting…
World models, AI systems capable of understanding physical environments, have become a major focus in 2026, attracting billions in funding from investors. Startups like AMI Labs, World Labs, Runway, L…
Top AI developers are shifting focus from chatbots to 'world models' that teach AI systems to understand and navigate physical environments, aiming to create more intelligent and embodied AI. Research…
General Intuition, an AI research lab spun out of Medal, raised $320 million at a $2 billion valuation to train AI models using gameplay data. The funding, backed by Jeff Bezos and Eric Schmidt, will …
Investors are pouring billions into world models, a new AI category focused on spatial intelligence, as Stanford professor Fei-Fei Li's World Labs raised $230 million in 2024 and a larger 2026 round f…
Computer scientist Louis Castricato left his PhD at Brown University to found Overworld, a startup building AI 'world models' that understand physical environments, as a growing number of researchers …
Fei-Fei Li and the World Labs team published "A Functional Taxonomy of World Models" on Jun 3, 2026, introducing a framework that separates systems labeled as world models into three distinct componen…
AI pioneer Fei-Fei Li published "A Functional Taxonomy of World Models" on June 3, 2026, categorizing world models into three core functions—renderer, simulator, and planner—that form an interconnecte…
Dr. Fei-Fei Li and the World Labs team published a functional taxonomy of world models, distinguishing between renderers, simulators, planners, and the reinforcement learning loop that connects them. …