Live data from Hacker News

Tesla hires Andrej Karpathy

techcrunch.com

101–110 of 327 posts

Re: Tesla hires Andrej Karpathy

#102
post #20

Earlier quoted context omitted.

Tesla: "All Our Patent Are Belong To You"[0] 0: https://www.tesla.com/blog/all-our-patent-are-belong-you

Not relevant. The software may not be patented but also just not published. You would have to reverse engineer it to get at the algorithms, and the car is surely heavily encrypted. It's like Musk said with SpaceX: publishing patents is just like putting out a recipe book for China.

it's also a recipe for future generations... or a backup if you will...

Re: Tesla hires Andrej Karpathy

#103

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…

Tesla's market cap exceeds Ford and GM. Their ability to surpass Uber is contingent on hiring talent to develop self-driving cars.

Re: Tesla hires Andrej Karpathy

#104
post #61

Earlier quoted context omitted.

You touched on a much wider human phenomenon: attention isn't evenly distributed. The media isn't pushed to report in proportion to an individual's impact. It's guided by trends, aka what people want to read. AI is hot. So therefore there is a huge spotlight on all angles there. You can argue whether that is actually fair (personally, I do think AI is a high beta field). Topics that don't fall under this are regarded…

Media coverage and popularity always works this way. I'm not sure why so many people perpetually can't wrap their head around it. There have been endless comments online where people are offended or surprised that x person is getting attention, but they are just like these other people who are just as good. But obviously there's more to drawing people's attention than the individual skill or a comparable position at…

> I'm not sure why so many people perpetually can't wrap their head around it.

The really question is, should we (as thoughtful human being as we consider ourselves to be) bother to question the trend (Which you are surprised that people are doing)? Or silently accept it?

Re: Tesla hires Andrej Karpathy

#105
post #97

Earlier quoted context omitted.

Part of me dies inside every time I read the phrase "personal brand". I think it's sad that it is no longer enough to be good at what you do--you need to self-promote, blog, and talk talk talk in order to make it these days. What happened to also recognizing the quiet but competent craftsmen?

Out of interest, what makes you think it was ever not this way? I recently reread the Isaacson Ben Franklin biography and one thing which struck me was how much time he put into crafting his public persona. The comment up this thread holds true: human attention is not evenly distributed. That doesn't mean, however, that there's an imperative to "network" or build a "personal brand" – plenty of people gain a deep sati…

Maybe I'm seeing the past through rose-colored glasses, but it seems there was once a time in Silicon Valley when you could make it big as a pure technologist and not have to always be marketing and selling yourself. Maybe I'm just fooling myself.

Re: Tesla hires Andrej Karpathy

#106

I think he'll regret accepting the position. Impossible deadlines are going to force him out in under 12 months.

As much as I want to see Tesla and Elon Musk succeed, I wouldn't work for one of this companies. So I agree.

Likewise. As notorious as Amazon became for it's negative work/life balance, it seems like every Musk-run company is at least twice as bad. People regularly throw out 80hr/week numbers when discussing life at SpaceX. Thanks, but no thanks.

Re: Tesla hires Andrej Karpathy

#107
post #100

Earlier quoted context omitted.

500k+ for someone with a lot of experience. 300k+ for a new hire ML/CV/NLP PhD with some relevant experience. 150k+ for a new hire ML/CV/NLP MS with little to no experience We were working with a very expert ML contractor that is doing 800k on his own from pop-up projects.

The top of the range you're quoting is for a typical Staff Software Engineer at Google/Facebook/Microsoft. "Top ML experts" garner much, much higher comp packages.

Yeah these ranges are such a joke. Top new grads at Google are getting comp packages along the lines of 115 base, 450 RSUs / 4 years, 60k signing, 15% bonus these days. L5s regularly make 400k+ all in.

The obvious reality is that top people rarely talk about their comp packages, as there is no reason to rock the boat.

Re: Tesla hires Andrej Karpathy

#108
post #31

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…

This same thing is an issue in many scientific disciplines. How many people can even name an area of physics research that isn't particle physics or general relativity, for example?

There's lots of action in low-energy physics, down around absolute zero. There are jobs in semiconductor device physics.

Re: Tesla hires Andrej Karpathy

#109
post #100

Earlier quoted context omitted.

500k+ for someone with a lot of experience. 300k+ for a new hire ML/CV/NLP PhD with some relevant experience. 150k+ for a new hire ML/CV/NLP MS with little to no experience We were working with a very expert ML contractor that is doing 800k on his own from pop-up projects.

The top of the range you're quoting is for a typical Staff Software Engineer at Google/Facebook/Microsoft. "Top ML experts" garner much, much higher comp packages.

These are representative of salary numbers for new hires.

Agreed though on total comp for top ML experts who have been around for a while - or the highest end.

Post reply on HN