Analyze a talk by Andrej Karpathy on Tesla's progress in self-driving technology using vision-only systems. Explore the shift from multi-sensor approaches to camera-only solutions, discussing data labeling techniques for petabytes of information, edge-case sampling methods, and real-time neural network training. Delve into Tesla's in-house supercomputer, their end-to-end pipeline ownership, and the advantages of vision-only systems over multi-sensor alternatives. Gain insights into the current auto-braking system, full self-driving capabilities, neural network architecture, and example results from the vision-only approach.