Lex Fridman PodcastElon Musk: Tesla Autopilot | Lex Fridman Podcast #18
Episode Details
EPISODE INFO
- Released
- April 12, 2019
- Duration
- 32m
- Channel
- Lex Fridman Podcast
- Watch on YouTube
- ▶ Open ↗
EPISODE DESCRIPTION
Elon Musk is the CEO of Tesla, SpaceX, Neuralink, and a co-founder of several other companies. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep18-sb See below for timestamps, and to give feedback, submit questions, contact Lex, etc. *CONTACT LEX:* *Feedback* - give feedback to Lex: https://lexfridman.com/survey *AMA* - submit questions, videos or call-in: https://lexfridman.com/ama *Hiring* - join our team: https://lexfridman.com/hiring *Other* - other ways to get in touch: https://lexfridman.com/contact *OUTLINE:* 0:00 - Introduction 2:35 - Autopilot motivation 4:01 - Display the vehicle's perception of the driving scene 7:11 - Algorithms, data, and hardware development 10:23 - Edge cases and common cases in driving 12:18 - Navigate on Autopilot 13:57 - Hardware and software path toward fully autonomy 17:08 - Driver supervision of Autopilot 20:13 - Human side of Tesla Autopilot (driver functional vigilance) 23:13 - Driver monitoring 24:30 - Operational design domain 26:57 - Securing Autopilot against adversarial machine learning 28:29 - Narrow AI and artificial general intelligence 31:53 - First question for AGI *PODCAST LINKS:*
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SPEAKERS
Lex Fridman
hostElon Musk
guest
EPISODE SUMMARY
In this episode of Lex Fridman Podcast, featuring Lex Fridman and Elon Musk, Elon Musk: Tesla Autopilot | Lex Fridman Podcast #18 explores elon Musk explains Tesla Autopilot’s path to safer-than-human autonomy Elon Musk and Lex Fridman discuss Tesla Autopilot’s design philosophy, data strategy, hardware roadmap, and the role of humans in AI-assisted driving. Musk argues that autonomy and electrification are the two revolutions transforming the auto industry, and that Tesla’s current hardware is already capable of full self-driving pending software refinement and regulatory approval. He emphasizes the power of massive real-world data, edge-case learning, and a custom full self-driving computer that far exceeds previous hardware. The conversation also explores driver vigilance, the value (and limits) of driver monitoring, adversarial attacks on neural networks, and broader questions about AGI, love, and simulated reality.
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