ACERCA DE ESTE EPISODIO
Wayve simulation and validation head Brandon Basso joins MTS to explain why end-to-end AI models are replacing modular self-driving checker stacks. He unpacks how physical AI learns safety intrinsically across global edge cases and predicts when eyes-off autonomous systems will reshape daily transit. Check out our sponsor Lovable: https://lovable.dev. Turn ideas into software people love.
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Timestamps:
(00:00) Introduction
(00:43) Wayve’s Autonomous Driving Vision
(02:49) The Autonomous Safety Challenge
(04:18) Defining Safety Without Benchmarks
(05:55) Physical AI’s Data Bottleneck
(12:41) Intrinsic Safety Versus Checkers
(15:56) Societal Shifts and L3 Autonomy
(18:41) What Lies Ahead for Wayve
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Note: This podcast is not investment, legal, or tax advice, and is intended for informational and entertainment purposes only. Hosts and guests may hold positions in the companies and securities discussed; do your own research before acting on anything you hear.
