Tete Xiao, VP of Engineering and AI, Bot Auto joined Grayson Brulte on The Road to Autonomy to discuss how the foundation model breakthroughs that defined virtual AI are now powering the physical AI stack powering Bot Auto's fully autonomous trucks.

Tete Xiao, VP of Engineering and AI, Bot Auto joined Grayson Brulte on The Road to Autonomy to discuss the fundamental shift from virtual AI to the physical AI required for commercial autonomous trucking. Tete co-authored Segment Anything, the landmark paper that ushered in the era of specific models to an era of foundation models that generalize across large segments of data. This approach which he is implementing at Bot Auto, enables the company to move beyond the limitations of previous technology, treating autonomous trucking as a compute-driven challenge where the system learns to navigate the complex physics of driving a truck. To ensure safety, Bot Auto is utilizing a top-down redundancy architecture that mirrors aviation's triple autopilot systems. Including dual onboard computers and independent software stacks running parallel algorithms with deliberately different logic to prevent a single failure from propagating through the system. This spring, Bot Auto is planning to launch fully autonomous commercial operations with Ryan Transportation on the Houston to Dallas corridor. No safety driver. No safety observer. No human in the cab.

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Episode Chapters 00:00 AUTNMY AI 00:25 Segment Anything 05:04 Virtual AI to Physical AI 09:08 Redundancy and Aviation-Inspired Architecture 13:40 Hardware and Software 17:00 Launching Fully Autonomous Operations 20:00 Foundation Models and Reinforcement Learning 27:52 Compute Infrastructure 35:22 Staying Ahead 42:30 Building a Virtual Driver 47:06 AGI 48:36 Transportation Company 53:59 Future of Bot Auto