Self-driving cars are already safer than human drivers in many situations, so why aren’t they everywhere? That’s the real mystery.
Waymo’s robotaxis have logged millions of miles, posted impressive safety data, and shown that autonomous driving can work far better than most people expected.
But proving the software works is only part of the battle. Scaling it means dealing with constantly changing cities, strange real-world edge cases, public trust, emergency failures, and the hidden human systems still required behind the scenes.
This episode breaks down why self-driving cars remain rare despite the technology advancing so quickly.
From mapping and machine vision to long-tail disasters, remote operators, and the enormous cost of deploying these systems at scale, the future of robotaxis is far more complicated than the headlines suggest.
The cars may be ready in theory, but the real question is whether the world around them is.
CHAPTERS:
00:00 - Humans Are Worse Drivers Than Robotaxis
00:37 - How Waymo Really Sees the Road
02:02 - Why Waymo Is Safer Than Human Drivers
03:00 - The Map Problem That Can Break Everything
04:11 - The Strange Scenarios Cars Still Can’t Handle
06:36 - When Robotaxis Make Very Human Mistakes
09:26 - The Human Backup Behind “Driverless” Cars
10:56 - The Hidden Cost of Making Robotaxis Scale
Narrated by: Josh Risser
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