Part 4/13:
One of the most intriguing aspects of Tesla’s strategy is its minimal reliance on traditional sensors. Instead, Tesla relies heavily on vision-based neural networks, consolidating its hardware around a computer that processes visual data in lieu of more expensive sensor suites like lidar. This approach, pioneered years ago with relatively affordable parts, enables Tesla vehicles to collect an enormous volume of data—over a billion miles of driving—feeding into their AI models daily.