Wayve pitches end-to-end 'Learned Safety' to build one AI driver for any vehicle

alexgkendall · x · 2026-11-06

Wayve CEO Alex Kendall argues that, as with driving itself, end-to-end deep learning offers a more generalisable and scalable representation for safety — the goal being an AI Driver that can safely drive any vehicle, anywhere. The stack includes the Wayve Learned Safety Envelope, closed-loop simulation with GAIA plus learned evaluation via GRADER, and grounding through language and reasoning. An accompanying graphic contrasts AV1.0's sensor-by-sensor metric code enforcing rules with AV2.0's single E2E neural network classifying behavior directly from raw input (safe? comfortable? road-rule compliant?).

Related event: Wayve Unveils Learned Safety: End-to-End AI Replaces Rule-Based Safety Systems(3 posts)→

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