Tesla hires Andrej Karpathy(techcrunch.com)
techcrunch.com
Tesla hires Andrej Karpathy
https://techcrunch.com/2017/06/20/tesla-hires-deep-learning-expert-andrej-karpathy-to-lead-autopilot-vision
316 comments
Since it seems to be a thing to report that X person specializing in machine learning has moved from Y company to Z, it makes me wonder if other areas of computer science is seen as relevant by the general public.
One rarely hears Dr. John Doe from Florida State University (or insert non-Standford university here) in Distributed systems has moved from Microsoft Research to NetApp. These are arbitrary names. The point is you rarely hear about people from other areas of CS outside of machine learning/universities outside of Stanford moving from one company to another. The field of CS is vast and there are multitude of practical and theoretical problems outside of machine learning that are worth looking into (ones that aren't currently considered hip or cool by the public).
One rarely hears Dr. John Doe from Florida State University (or insert non-Standford university here) in Distributed systems has moved from Microsoft Research to NetApp. These are arbitrary names. The point is you rarely hear about people from other areas of CS outside of machine learning/universities outside of Stanford moving from one company to another. The field of CS is vast and there are multitude of practical and theoretical problems outside of machine learning that are worth looking into (ones that aren't currently considered hip or cool by the public).
Seems to be taking Chris Lattner's place:
https://twitter.com/clattner_llvm/status/877341760812232704
https://twitter.com/clattner_llvm/status/877341760812232704
I follow Karpathy on Twitter and really enjoy his blog. I do fear that his impact in Tesla could be less than his impact at openai. Openai had some fundamentally great research and ideas.
I wish him that best though. Hopefully some of Tesla algorithms will be open source someday and those of us who can't afford a Tesla will be able to use it as well.
I wish him that best though. Hopefully some of Tesla algorithms will be open source someday and those of us who can't afford a Tesla will be able to use it as well.
Interesting, to move from an Elon-Musk-chaired non-profit to an Elon-Musk-owned for-profit.
Anyone have any insight into what the top ML people are being paid right now?
Karpathy. Car pathy.
* I hate myself for this.
* I hate myself for this.
Andrej paired with chip guru Jim Keller [1] (vice president of autopilot hardware engineering) should be an amazing combo.
[1] https://en.wikipedia.org/wiki/Jim_Keller_(engineer)
[1] https://en.wikipedia.org/wiki/Jim_Keller_(engineer)
I think he'll regret accepting the position. Impossible deadlines are going to force him out in under 12 months.
So where does this leave openAi?
This is great to hear. Andrej has contributed a lot to DL students worldwide, what with his lectures online and his writeups, that I'm glad he's continuing his upward trajectory. A very inspiring person.
Haven't thought that Andrej is such a big star in tech and deep learning communities. Which him all the best, his deep learning course was amazing
How old is Andrej Karpathy ? Unable to find on google.
so it's done for other car industries :/
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If A.I. can't fold my laundry, I wouldn't trust it with my car.
Wonderful news!
What is so hackerynews about this ? Hackernews is turning facebooky with low quality content.
Now, it's "later", their software demos are about where Google was in 2010, and Tesla has a big problem. This is a really hard problem to do with cameras alone. Deep learning is useful, but it's not magic, and it's not strong AI. No wonder their head of automatic driving quit. Karpathy may bail in a few months, once he realizes he's joined a death march.
If anything, Tesla should have learned by now that you don't want to need to recognize objects to avoid them. The Mobileye system works that way, being very focused on identifying moving cars, pedestrians, and bicycles. It's led to at least four high speed crashes with stationary objects it didn't identify as obstacles. This is pathetic. We had avoidance of big stationary objects working in the DARPA Grand Challenge back in 2005.
With a good LIDAR, you get a point cloud. This tells you where there's something. Maybe you can identify some of the "somethings", but if there's an unidentified object out there, you know it's there. The planner can plot a course that stays on the road surface and doesn't hit anything. Object recognition is mostly for identifying other road users and trying to predict their behavior.
Compare Chris Urmson's talk and videos at SXSW 2016 [1] with Tesla's demo videos from last month.[2] Notice how aware the Google/Waymo vehicle is of what other road users are doing, and how it has a comprehensive overview of the situation. See Urmson show how it handled encountering unusual situations such as someone in a powered wheelchair chasing a duck with a broom. Note Urmson's detailed analysis of how a Google car scraped the side of a bus at 2MPH while maneuvering around sandbags placed in the parking lane.
Now watch Tesla's sped-up video, slowed down to normal speed. (1/4 speed is about right for viewing.) Tesla wouldn't even detect small sandbags; they don't even see traffic cones. Note how few roadside objects they mark. If it's outside the lines, they just don't care. There's not enough info to take evasive action in an emergency. Or even avoid a pothole.
Prediction: 2020 will be the year the big players have self-driving. It will use LIDAR, cameras, and radars. Continental will have a good low-cost LIDAR using the technology from Advanced Scientific Concepts at an affordable price point.
Tesla will try to ship a self-driving system before that while trying to avoid financial responsibility for crashes. People will die because of this.
[1] https://www.youtube.com/watch?v=Uj-rK8V-rik [2] https://player.vimeo.com/video/192179727