HackerTube

THE VIDEO SHELF · self-driving and ai research

Andrej Karpathy: Tesla AI, Self-Driving, Optimus, Aliens, and AGI | Lex Fridman Podcast #333

Lex Fridman's long conversation with Andrej Karpathy on Tesla's self-driving approach, Optimus, neural networks, transformers, AGI and more. It also touches on his OpenAI work and working with Elon Musk.

Why HN readers recommended it

Cited for Karpathy's first-hand explanations of camera-only self-driving, transformers and ML trends.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
Lex Fridman
Topic
self-driving and ai research
Format
podcast
Level
intermediate
HN recommenders in dataset
3
HN mentions in dataset
11
Recommendation years in dataset
2022–2025

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Anyone seriously interested in this question should listen to the Lex Friedman interview of Andrej Karpathy: [VIDEO]

    tdalaa on Hacker News · 2023-01
    In Will Tesla Ever “Solve” Full Self Driving? (2022)
  • Andrej Karpathy was recently on Lex Fridman's podcast and covered this to some extent. He has the same perspective on this topic and expanded on it quite a bit. Great listen overall IMHO - [VIDEO] I like his idea of finding 0-days in physics. :)

    jcims on Hacker News · 2022-11
    In Study urges caution when comparing neural networks to the brain
  • My understanding is the transformer layer in the LLM is basically doing something akin to message passing, it’s like a mini computer. In predicting the next word, it has to understand a lot about a lot of different kinds of topics My understanding is kinda …

    meken on Hacker News · 2022-12
    In

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.