Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Instead of just predicting words, world models actually learn how the physical world works, which is the "common sense" AI ...

While no one has figured out how to make money from generative artificial intelligence, that hasn’t stopped Google DeepMind from pushing the boundaries of what’s possible with a big pile of inference.

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why he thinks the latter are key to achieving artificial general intelligence.

In recent years, we’ve become used to seeing text, pictures, videos and even computer code generated by AI. But what if it could go a step further and create entire worlds? Well, for developers ...

World Labs Technologies, a company founded by AI pioneer Fei-Fei Li that’s focused on developing breakthrough artificial intelligence models, today announced the launch of its first commercial world ...

Large language models spread at unprecedented speed, but they also erased much of the competitive gradient. Everyone has access to the same models, the same interfaces, and, increasingly, the same ...

Katelyn is a reporter with CNET covering artificial intelligence, including chatbots, image and video generators. Her work explores how new AI technology is infiltrating our lives, shaping the content ...