Tesla Shifts to Neural Networks for True Self-Driving Technology
Elon Musk demonstrates Tesla's new Full Self Driving software, which replaces traditional coding with AI that learns by watching human drivers. This shift mirrors the technology behind ChatGPT and marks a major step toward artificial general intelligence.
Elon Musk recently demonstrates a major breakthrough in Tesla's Full Self Driving technology by taking a 45-minute livestreamed drive in a Model S. The new FSD 12 system operates much more smoothly and reliably than previous versions, marking a significant shift in how the company approaches autonomous driving. Musk views this update not just as an upgrade for vehicles, but as a crucial leap toward artificial general intelligence that navigates real-world physical environments.
Unlike earlier versions of Tesla's Autopilot that rely on hundreds of thousands of lines of code and rigid rules, FSD 12 learns entirely by watching human behavior. The system processes billions of frames of video showing how human drivers handle complex situations, then trains its neural network to mimic those actions. A young Tesla engineer compares this revolutionary approach directly to how ChatGPT learns to generate text by analyzing massive amounts of written language.
Musk sets Tesla on this fundamentally new path just eight months before the demonstration, completely abandoning the old rules-based method. The previous system identified objects like lane markings and traffic signals before applying strict if-then commands to navigate. By shifting to an AI-driven model that observes and replicates human driving patterns, Tesla hopes to finally crack the code on true vehicle autonomy.