Hardware
What does the world look like inside an AI model? Here are 3 world model architectures based on how they represent the world (+ the subtypes…
What does the world look like inside an AI model? Here are 3 world model architectures based on how they represent the world (+ the subtypes) ↓ 1. A generated observation – a model predicts what comes
What does the world look like inside an AI model? Here are 3 world model architectures based on how they represent the world (+ the subtypes) ↓ 1. A generated observation – a model predicts what comes next: an image, video frame, or token sequence. • Visual tokens (Dreamer 4, @GoogleDeepMind) • Diffusion / flow (Waymo World Model, Cosmos-Predict2.5 @nvidia) 2. A compact latent state – a world model compresses the world into an internal representation and predicts how it changes. • Reconstructive state-space (DayDreamer) • Predictive representations (JEPA, @ylecun) • Task-oriented (MuZero) 3. An explicit structure of objects and space – a model represents the world via objects, their properties, positions, and interactions. • Spatial / geometry-aware (Atlas, @theworldlabs) • Object-centric (TextOCVP; FIOC-WM) We broke down what’s inside these architectures and how they work in this guide ↓ https://www.turingpost.com/p/guide-how-world-models-work-from-dreamer-and-jepa-to-waymo-and-atlas
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Source: Yann LeCun (X) | 2026-10-10