Part 8/10:
Tesla’s investment in hardware (notably data centers equipped with hundreds of thousands of high-performance GPUs) and software continues to facilitate rapid evolution. The company’s approach relies heavily on collecting real-world data, training neural networks, and deploying iterative updates, which collectively accelerate AI sophistication.
Credibility: The Road to Fully Autonomous Transportation
Expert observations, including insights from industry insiders like Herbert, note that Tesla has been operating in full autonomy for several months with negligible interventions. As AI models become more advanced, the vision of completely driverless vehicles navigating complex urban environments becomes increasingly tangible.