Today Razib talks to Tim Lee, a previous guest on Unsupervised Learning. Lee hosts Understanding AI. Lee covered tech more generally for a decade for Washington Post, Ars Technica, and Vox.com. He has a master's degree in computer science from Princeton. Lee writes extensively about general AI issues, from Deep Research's capabilities to the state of large language models. But one of the major areas he has focused on is self-driving cars. With expansion of Waymo to Austin, and this June's debut of Tesla's robotaxis, Razib wanted to talk to Lee about the state of the industry.

They discuss the controversies relating to safety and self-driving cars. Is it true, as some research suggests, that Waymo and self-driving cars are safer than human-driven cars? What about the accidents Waymos have been implicated in? Is it true that they were actually due to human error and recklessness, rather than the self-driving cars themselves? Lee also contrasts the different companies' strategies in the sector, from Waymo to Zoox to Tesla. Razib also asks him about the fact that self-driving cars' imminent arrival seems to have been overhyped five years ago, with Andrew Yang predicting trucker mass unemployment, to the reality that Waymo has now surpassed Lyft in ride volume in San Francisco. They also discuss the limitations of self-driving cars in terms of their ability to navigate cities and regions where snow might be a major impediment, and why there has been a delay in their expansion to freeway routes.