To scale autonomous driving globally, it is natural to leverage the advantages of AI. Achieving full autonomy requires a solid, data-driven approach—one that can continuously improve through the massive streams of information generated by vehicles produced at scale. Mass production not only lowers costs and ensures consistency, it also unlocks unprecedented amounts of driving data to fuel development and validation. At the core, a big-model AI with end-to-end capabilities shows its strength by handling complexity, generalizing across diverse environments, and accelerating progress. This approach demonstrates how autonomy can evolve reliably at scale, with even greater breakthroughs still to come.
By engineers, for engineers: A technically grounded guide to the rapidly evolving in-cabin technology industry and companies.
