Part 2/12:
While developing artificial intelligence is relatively accessible with abundant language data available on the internet, creating an effective autonomous driving system is not as straightforward. The crux of the issue is simple: capturing real-world driving scenarios at scale is essential for training reliable self-driving software. Tesla has leveraged a fleet of millions of vehicles, each equipped with sensors and cameras, to capture vast amounts of driving data, thus gaining an unparalleled data lead. Competitors, such as Waymo and Uber, struggle with the same capability, often resorting to costly and inefficient methods to gather data, undermining their competitive edge.