Chapter

Building Autonomous Systems Safer than Humans with Scrutinized Accidents
The goal of building autonomous systems is to make them 10 times safer than people by focusing on things that machines are good at such as attention to details. Scrutinizing accidents and setting the bar of safety above human performance is the right philosophy to have in building autonomous systems.
Clips
Autonomous driving technology can perform tasks that humans might not be good at, like attention, but there is a need for regulatory clarity on technology solutions for safety systems for autonomous vehicles.
1:10:07 - 1:13:16 (03:09)
Summary
Autonomous driving technology can perform tasks that humans might not be good at, like attention, but there is a need for regulatory clarity on technology solutions for safety systems for autonomous vehicles.
ChapterBuilding Autonomous Systems Safer than Humans with Scrutinized Accidents
EpisodeJim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
PodcastLex Fridman Podcast
The goal of building autonomous systems that are 10X safer than people is achieved by scrutinizing accidents and focusing on safety.
1:13:16 - 1:16:58 (03:42)
Summary
The goal of building autonomous systems that are 10X safer than people is achieved by scrutinizing accidents and focusing on safety. To build a reliable computer system for an application like automotive, there are many inputs and safety processors involved.
ChapterBuilding Autonomous Systems Safer than Humans with Scrutinized Accidents
EpisodeJim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
PodcastLex Fridman Podcast
Humans find satisfaction in complex mastery behavior such as digging ditches and engineering work that involves thoughtful decisions and problem-solving.
1:16:58 - 1:18:15 (01:16)
Summary
Humans find satisfaction in complex mastery behavior such as digging ditches and engineering work that involves thoughtful decisions and problem-solving. The craftmanship aspects of autonomous driving and building resource-constrained computers are examples of complex mastery behavior in engineering.
ChapterBuilding Autonomous Systems Safer than Humans with Scrutinized Accidents
EpisodeJim Keller: Moore’s Law, Microprocessors, Abstractions, and First Principles
PodcastLex Fridman Podcast
Despite the intricacy of computer technology, the reduction to practice is relatively simple; transistors, wires, adders, multipliers and memories all contribute to the structure of a computer.
1:18:15 - 1:19:04 (00:49)
Summary
Despite the intricacy of computer technology, the reduction to practice is relatively simple; transistors, wires, adders, multipliers and memories all contribute to the structure of a computer. In contrast to popular belief, factory work can also be enjoyable, and the satisfaction of creating something tangible can be fulfilling.