Chapter
Safety and Trust in Self-Driving Cars
2:06:09 - 2:13:36 (07:27)
The process of deploying self-driving cars involves showing people that the technology can be trusted, given that society is harsher on them than on human-driven cars. Establishing a benchmark for achieving intelligence can play a role in building this trust.
Clips
Deploying a neural network with supervised annotation helps improve the functionality of autonomous vehicles, making them safer of the road for both passengers and pedestrians.
2:06:09 - 2:08:14 (02:05)
Summary
Deploying a neural network with supervised annotation helps improve the functionality of autonomous vehicles, making them safer of the road for both passengers and pedestrians.
ChapterSafety and Trust in Self-Driving Cars
Episode#215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI
PodcastLex Fridman Podcast
Deployment of robots in society faces the challenge of integrating them in terms of human factors and policy requirements.
2:08:14 - 2:10:03 (01:48)
Summary
Deployment of robots in society faces the challenge of integrating them in terms of human factors and policy requirements. Self-driving cars struggle with societal expectations of safety as robots are expected to match up to the performance of human drivers.
ChapterSafety and Trust in Self-Driving Cars
Episode#215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI
PodcastLex Fridman Podcast
The process of deploying innovative technology involves building trust with people, as there is often resistance towards it.
2:10:03 - 2:11:31 (01:28)
Summary
The process of deploying innovative technology involves building trust with people, as there is often resistance towards it. The best way to convince people is by letting them experience it, as often people fall in love with the product if designed well.
ChapterSafety and Trust in Self-Driving Cars
Episode#215 – Wojciech Zaremba: OpenAI Codex, GPT-3, Robotics, and the Future of AI
PodcastLex Fridman Podcast
The podcast discusses possible benchmarks to achieve AI intelligence, such as natural language conversation and self-supervised learning for robotics, and how resistance to change can hinder progress.
2:11:31 - 2:13:36 (02:05)
Summary
The podcast discusses possible benchmarks to achieve AI intelligence, such as natural language conversation and self-supervised learning for robotics, and how resistance to change can hinder progress.