THE VIDEO SHELF · tesla self-driving
Tesla Autonomy Day
Tesla's roughly four-hour Autonomy Day investor event covers its in-house self-driving chip, vision-only approach, fleet data engine and robotaxi plans, with talks by Andrej Karpathy and others.
Why HN readers recommended it
Cited both as a primary source on Tesla's technical autonomy approach and, later, for Musk's unmet robotaxi predictions.
This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.
Video & recommendation details
- Creator / channel
- Tesla
- Topic
- tesla self-driving
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 20
- Recommendation years in dataset
- 2019–2024
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.
After the recent "Tesla Autonomy Day" video [VIDEO] (almost 4h long, but worth a watch), I do rather feel like the incumbent services are about to be in a spot of bother. I think there's a bubble in this sector, and it's going to pop.
furriephillips on Hacker News · 2019-05
In The investor who turned down Uber at a $5m valuationWatch the presentation from 6 months ago, where they explain the decision to build their own hardware for inferring : [VIDEO] It's not surprising that they also build the hardware for training. Correct me if I'm wrong, but Google use the same TPUs for training …
antpls on Hacker News · 2019-11
In Andrej Karpathy talks about how Tesla's NNs are structured and trained [video]I heard from a tesla engineer that they do use lidar to train their models, but that they don’t see the value in deploying it to the fleet. It’s worth watching the tesla event from about a year ago if you haven’t seen it for …
fossuser on Hacker News · 2020-08
In Electric car startup Lucid is challenging Tesla’s anti-Lidar stance
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.