So why "quit" when the feds ask you to deal with regulations that involve passenger safety. Its not like he had to spend $20M on clinical trials.
So why "quit" when the feds ask you to deal with regulations that involve passenger safety. Its not like he had to spend $20M on clinical trials.
Comma's approach was complete end-to-end learning with just a single camera (to give you some context, research problems involving two cameras are already considered distinct (but related) research problems from those involving one camera), which is an extremely different approach (the Google/Uber approach can be thought of as more "handcrafted"). From the deep learning researchers I know of there was heavy skepticism of Comma's approach. End to end learning makes for nice demos but is still an active research topic.
From what I can tell, Mobileeye is somewhere in between an end-to-end approach and a handcrafted approach, so I would guess Tesla is similar to Mobileeye on that spectrum.
One of the things that seemed missing from the lecture when I watched it is how data was going to be collected for handling exceptional situations/collision avoidance. Hotz also glossed over the question in this interview from July: https://www.youtube.com/watch?v=2zy_07g2IrM#t=35m
I suspect they ran into trouble with edge cases. Also suspicious is this job posting on their website right now:
"Localization Lead Engineer DESCRIPTION
We have over 50,000 miles of video data from cars, and will have millions by the end of the year. Looking for someone to build a SLAM algorithm capable of scaling to the world.
Imagine an API that, given a picture, returns the exact location of the camera with cm accuracy.
Build this
REQUIREMENTS
Strong math background.
Ability to write concise, reliable, and readable code quickly.
Github with stars is nice.
Computer vision experience a plus.
Basically someone who could have written https://github.com/mapillary/OpenSfM or https://github.com/raulmur/ORB_SLAM2"http://www.comma.ai/positions.html
Hotz has been claiming that they would not need mapping and SLAM like Google's self-driving car. The whole "Looking for someone to build a SLAM algorithm capable of scaling to the world" sure sounds like "I guess this time he couldn't find anyone on IRC to finish the hard parts for him and let him take the credit" that lawnchair_larry posted elsewhere in this discussion (https://news.ycombinator.com/item?id=12818219).
This has got to be a joke. Text like this proves he was out of his depth
Money isn't everything to some people. He has the true hacker ethos.