Deva-3 May 2026

The model hallucinated cars sliding, pedestrians walking cautiously, and brake lights flashing. It had never seen snow, but it had learned friction and low-traction behavior from dry roads. It generalized the concept of slipperiness.

We have tried rule-based systems (they break in the real world), end-to-end deep learning (they hallucinate), and large language models (they lack physics). But a new architecture is emerging from the labs that might finally crack the code. deva-3

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. The model hallucinated cars sliding