World Models Can Change Everything - by James Wang

kept by eddie may 07

World models could revolutionize AI by enabling physical understanding, but data friction from expensive real-world collection makes their success far from certain.

A Functional Taxonomy of World Models - Dr. Fei-Fei Li
Fei-Fei Li proposes a taxonomy of world models into renderers, simulators, and planners, arguing simulation is the most consequential and underappreciated category.
also on Fei-Fei Li, World Labs, #ai-research
The Neolabs Are a Bet Against Superintelligence
Investors betting billions on new AGI startups are wagering against near-term superintelligence, expecting AI progress to plateau despite current trends, with neolabs having far less capital and compute than OpenAI or Anthropic.
also on AMI Labs, #ai-research, #startups, #ai
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, #ai-research, #startups
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 Yann LeCun, #ai-research, #startups
Judgment isn't uniquely human - by Steven Adler
AI already possesses judgment in domains like investment banking, ethical dilemmas, and art, despite persistent claims that such skills are uniquely human.
also on Yann LeCun, #ai-research, #ai