A Functional Taxonomy of World Models - Dr. Fei-Fei Li

kept by eddie jun 04

Fei-Fei Li proposes a taxonomy of world models into renderers, simulators, and planners, arguing simulation is the most consequential and underappreciated category.

World Models Can Change Everything - by James Wang
World models could revolutionize AI by enabling physical understanding, but data friction from expensive real-world collection makes their success far from certain.
also on Fei-Fei Li, World Labs, #ai-research
Yann LeCun raises $1B to build AI that understands the physical world
Yann LeCun's new startup AMI raised over $1 billion to build AI world models that understand the physical world, moving beyond LLMs.
also on #world-models, #ai-research
Introducing Simile.Simulating human behavior is one of the most consequential and technically difficult problems of our time. We raised $100
Simile has raised $100M to tackle simulating human behavior, a technically difficult problem with big consequences.
also on Fei-Fei Li, #simulation, #ai-research
The future of work is world models - by Rohit Krishnan
Managing a business with numerous AI agents requires a 'world model' that simulates operations and predicts outcomes, shifting management from direct control to exception handling and simulation.
also on #simulation
How long until AI doesn’t need humans? - Asterisk Magazine
Ajeya Cotra forecasts AI self-sufficiency within 10 years; Timothy B. Lee gives a 50-year median, debating robotics, tacit knowledge, and profit incentives.
also on #robotics, Google DeepMind