Uploaded December 2025 | Updated September 2026, 2 weeks ago
Rather than focusing on a single car or manufacturer, Wayve is training models to drive virtually any car, with any sensors, in any city. In this talk, Silvius Rus, SVP of Engineering, walks through how the company arrived at this approach, how their proprietary AV2.0 model works, and how they’re approaching autonomous driving differently.
00:00 - Introduction and why Wayve’s approach is different
02:41 - Wayve’s AV2.0 and the difficulty of AI in the imperfect physical world
09:02 - How (and why) Wayve works with myriad cars and sensors vs. just their own
14:17 - The proprietary foundation model at the core of AV2.0
19:53 - Learning with simulated data (a.k.a. “bad dreams”)
22:10 - The scale and challenge of all the required data (and models)
Rather than focusing on a single car or manufacturer, Wayve is training models to drive virtually any car, with any sensors, in any city. In this talk, Silvius Rus, SVP of Engineering, walks through how the company arrived at this approach, how their proprietary AV2.0 model works, and how they’re approaching autonomous driving differently.
00:00 - Introduction and why Wayve’s approach is different
02:41 - Wayve’s AV2.0 and the difficulty of AI in the imperfect physical world
09:02 - How (and why) Wayve works with myriad cars and sensors vs. just their own
14:17 - The proprietary foundation model at the core of AV2.0
19:53 - Learning with simulated data (a.k.a. “bad dreams”)
22:10 - The scale and challenge of all the required data (and models)
