Part 10/13:
Despite all the optimism, uncertainties remain. AI progress, especially in neural network development, could be disrupted by unforeseen setbacks or breakthroughs that shift the landscape unexpectedly. Regulatory hurdles, public acceptance, and safety concerns also play significant roles in determining deployment timelines.
However, Tesla’s latest safety data—indicating a miles-between-intervention rate significantly better than human drivers—and their nearing hardware constraints being lifted suggest that technological hurdles are diminishing. The primary remaining questions are about execution, infrastructure rollout, and how quickly regulators will adapt to fully autonomous vehicle operations.