Ashok Elluswamy, head of the Tesla AI team, presents the company's recent advancements in autonomous driving technology. He highlights the deployment of a Robotaxi service and the automation of vehicle delivery from the factory. Elluswamy discusses the shift to end-to-end neural networks for self-driving, explaining its advantages over modular approaches in capturing human preferences and reducing latency. He addresses the challenges of high-dimensional input data and the importance of curating relevant data from Tesla's vast fleet. The presentation includes demonstrations of the self-driving system's capabilities in complex scenarios, such as avoiding obstacles and reacting to unexpected events. Elluswamy also touches on debugging techniques using Gaussian spreading and natural language interaction, as well as evaluation methods employing a learned neural network simulator. He concludes by outlining future plans to scale the autonomous service, introduce the CyberCab, and extend the technology to humanoid robots like Optimus.
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