Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I identify how the use of world models is ...

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.

For the past two years, artificial intelligence has felt oddly flat. Large language models spread at unprecedented speed, but they also erased much of the competitive gradient. Everyone has access to ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Google's Project Genie is an experimental model that lets you create, edit and explore ...

You're currently following this author! Want to unfollow? Unsubscribe via the link in your email. Follow Lakshmi Varanasi Every time Lakshmi publishes a story, you’ll get an alert straight to your ...

Nvidia is getting into world models — AI models that take inspiration from the mental models of the world that humans develop naturally. At CES 2025 in Las Vegas, the company announced that it is ...

AI company Runway has announced what it calls its first world model, GWM-1. It’s a significant step in a new direction for a company that has made its name primarily on video generation, and it’s part ...

While large language models (LLMs) have mastered text (and other modalities to some extent), they lack the physical "common sense" to operate in dynamic, real-world environments. This has limited the ...

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.

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now After three hours at Google’s I/O 2025 ...

World models are AI systems that understand physics, space, and cause-and-effect—unlike chatbots that only predict text. Tech leaders like Yann LeCun argue they're essential for truly intelligent ...