World Models: Everything, Everywhere, All at Once
World models seem to have exploded on to the AI stage. Here's an overview of what they are and how they're showing up.
11/17/2025
World models. They’re everywhere in AI news right now, from Bezos to Marble to Meta.
A week ago, I knew almost nothing about them. Now they seem to be in every headline.
So if you’re wondering, “What exactly is a world model?” or “What news is she talking about?” here’s a quick breakdown.
What is a Large World Model (LWM):
🌍 AI system that learns from real or simulated environments
🌍 They watch how things behave, interact, and change over time
🌍 LLMs predict text, LWMs predict future states of an environment
🌍 They reason and take actions based on how the world is likely to unfold
🌍 They maintain consistent 3D or simulated environments
🌍 They can test actions in environments before taking them
Recent news that pushed world models into the spotlight:
✨ Jeff Bezos founded Project Prometheus, a startup focused on applying AI to the physical economy, like engineering, manufacturing, autos, and aerospace. To do this, the company needs models of the real world so AI can predict how physical systems will operate.
✨ Fei-Fei Li, the “Godmother of AI,” published an essay arguing that spatial intelligence will drive the next major AI breakthrough. She believes the ability to understand and predict how the world changes over time is core to human cognition and critical for AI’s evolution.
✨ World Labs, her company, launched Marble, its first commercially available world model. It accepts multimodal inputs and generates persistent, downloadable 3D worlds.
✨ Meta's Chief AI Scientist, Yann LeCun, is reportedly leaving Meta to pursue his own startup focused on world models.
World models are used in gaming, robotics, autonomous vehicles, agents that need to reason about the future, digital twins, and simulation and training environments. The list goes on.
For something I had barely thought about until recently, world models seem to be the next big thing in AI. From now on, I definitely plan to pay attention.
This post was originally published on LinkedIn
