Deva-3

If you haven’t heard of it yet, you will. DEVA—which stands for —is a family of models designed to understand the world not as a series of static images, but as a continuous, interactive simulation. Version 3 is where it gets scary good. What is DEVA-3? In simple terms, DEVA-3 is a World Model . Unlike a Large Language Model (LLM) that predicts the next word, or a diffusion model that predicts the next pixel, DEVA-3 predicts the next state of reality .

Current AVs rely on "predictive models" that assume other drivers are rational. DEVA-3 simulates irrational behavior. It can predict the "jerk" who cuts across three lanes without a blinker because it has seen that episode 10,000 times in training data. Wayve and Ghost Autonomy are rumored to be testing DEVA-3 variants on public roads in London right now. deva-3

For the last decade, the holy grail of robotics and autonomous driving has been a simple question: How do we teach machines to predict the future? If you haven’t heard of it yet, you will

Have you worked with video prediction models or world models? Let me know in the comments if you think DEVA-3 is overhyped or under-discussed. Disclaimer: This blog post discusses a hypothetical or emerging model architecture for illustrative purposes based on current research trends in world models (e.g., DreamerV3, UniSim, GAIA-1). No official "DEVA-3" product from a specific company is referenced. What is DEVA-3

They asked the model: "What happens next?"

If you work in autonomy, robotics, or simulation, stop fine-tuning LLMs. Start looking at world models.

They trained DEVA-3 on nothing but dashcam footage from Phoenix, Arizona. Then, they gave it a single frame from a snowy street in Oslo—something it had never seen.