I know of a team at an AI-oriented company that uses Reinforcement Learning to find cheats and exploits in 2600 games as their happy hour activity. No need to work late (though one could), just start that training run and hope for the best.
GPU advantage: more refined ecosystem and you can buy them for $<1000 or get laptops with them built in, and if NVDA has sweat more software engineering blood and tears than GOOG into your model's functions, it will run better on them
TPU advantage: Colab has a free tier that lets you play with them at no charge and if GOOG has sweat more software engineering blood and tears into your model's functions, it will run better on them.
All IMO of course. And deep down it can get more complicated than that, but I salute GOOG for being the first company to ship competitive AI HW, doubly so at scale.
Also agreed, when hedge funds don't silo their quants, instead of seeing 50 different strategies from 50 quants, they get 50 variants of the same strategy, source:
You might want to look into the story of Harris Fogel. He was a tenured professor who was unceremoniously terminated for seemingly correctable or even unintentional behavior. He's suing.
Stallman OTOH didn't even have tenure. The bigger story for me is if repeated complaints of sexual harassment (leg grabbing etc) went nowhere until now. That's unacceptable and I suddenly side with the Twitter mob in that case because if so he's had his due process already. And in that case, not only is he an ass, but he probably drove a lot of women out of the field and that can't be undone.
I think your understanding of the tech industry is rather unlike mine. I have been a manager previously and there is quite a bit of documentation and process involved in terminating anyone, so much so that a lot of really bad apples can jump teams without getting terminated if they time it well.
Even when they're caught, they get put on a Performance Improvement Plan (PIP) which is shorthand for giving them 60 days to find a new job or to turn their life around internally. Usually, it leads to the former, sometimes the latter. I've seen both.
It's an imperfect and biased process. But the attempt is usually made because HR fears unjustified termination lawsuits despite the "at will" employee status of just about everyone.
Unless they've tried to hack the company's servers for private data, I've never seen anyone fired on the spot without the above process unfolding. Maybe your experience differs?
PS I also think Charles Manson and The Unabomber were unambiguously guilty. That doesn't change my opinion that they deserved the trial they got.
PPS If as amyjess seemingly suggests that female professors at MIT repeatedly filed complaints against him and nothing happened, well then carry on Twitter mob, good job, seriously.
That business card is wildly inappropriate I agree and I love the bit about the plants. Is there a story I'm missing here where complaints were filed and nothing was done? That would change my viewpoint 180 degrees here if so. Because that means the guy's behavior was repeatedly and officially pointed out to him and he IDGAFed the advice. It also seems like an even bigger story than Stallman himself on par with GOOG's behavior the past 5 years.
That's one of the purposes of HR. Watch any corporate harassment training video if you don't believe me.
TLDR: the accusation of harassment is 100% determined by the accuser. The determination of whether harassment occurred OTOH is decided by HR after judging the merits (or lack thereof) of the case.
I see no reason why MIT shouldn't have proceeded similarly. And while you might argue that's not 100% impartial, that's a lot better than a Twitter mob (to me at least).
Given the piles of video and text of Stallman being Stallman, and the "Hot Ladies" bit on his office door, do you really think they would have high-fived his conduct and told him to carry on? I'm cynical, but I'm not that cynical.
Or let's put this another way. The Unabomber and Charles Manson got their due process. Are you saying Stallman is worse than both of them? So I'm guessing you guys downvoting me no longer believe in our legal system? That'll end well I'm sure.
You assemble the evidence before as impartial a committee as you can, and you let them make the decision. I think in this case Stallman is an offensive personality who says offensive things on company time using company equipment. That's going to be a no-brainer.
That said, I have a nagging worry from watching some videos of his behavior that he is mentally ill and there might be a backlash from that.
But why we can't allow a process like that to transpire before passing judgment is beyond me. Why wishing such an impartial judgment upon him is downvote worthy is really worrisome to me. That's not what western democracies are about as I understood them up to now.
I Just do not believe we should make career-ending decisions like this based on the rage of a mob on social media, that's literally a Black Mirror episode (and a really bad episode of The Orville as well). I believe their role is to raise awareness of situations like to the point where the above should transpire. Does holding that viewpoint now make me subject to "cancellation" as well?
The California Assembly recently passed AB-1482 which will lead to statewide rent control if signed by the governor. I personally believe more in increasing the supply than attempting to control the existing supply, but no matter what, signing this without demanding SB-50-like concessions to make it easier to increase supply near transit was a real miss IMO. SB-50 got pushed into 2020.
That discussion was reasonably settled a very long time ago and court cases established reasonable laws around it. Then one side demanded a do-over, in much the same way they are seeking do-overs for a lot of previously seemingly settled issues.
Yes, you got it. I made up the "Dark Tower" remark because they sat the Google+ team on the top floor of the only semi-highrise on the main Mountain View campus. This separated them both literally and figuratively from the rest of the Googlers and in 2011, that was just not "googly." And yes, this was a Vic Gundotra move.
I love a good skunkworks project. But Google+ needed Google to succeed. Apparently Vic felt otherwise and the rest is history, no?
From my perspective, I think partitioning the Google+ team into their own Dark Tower with their own super-healthy cafeteria that was for them and their executives alone was the biggest problem. IMO this even foreshadows separating off Google Brain from the rest of Google and giving them resources not available to anyone else. Google was at its best a relatively open culture and 2011 is the year they killed other cultural icons such as Google Labs and (unofficially) deprecated 20% time. I think the road to the Google we see today started then. It's also the year they paid too much for Motorola and started pushing Marissa Mayer out the door.
Then there was the changing story of the 2011 bonus. When I hired in, we were all told our 2011 bonus would be tied to the success of Google+. That's a fantastic way to rally your co-workers, except... Once they launched Google+, the Google+ Eliterati (so to speak) changed their minds and announced that any Google+ bonus was for Google+ people alone. Maximum emotionally intelligent genius IMO. Now your own co-workers have been burned. Also not very "googly."
Finally, there was "Real Names." The week of its launch everyone I knew wanted an invite and I used up every single one of them and continued to do so as more were made available to me. Then "Real Names" happened and people stopped asking for invites overnight. That's the moment for me when the tide turned against this thing.
I really liked the initial Google+ UI personally, but the UI ran head-on into the nonsensical "Kennedy" initiative wherein some brilliant designer seemed to decide that since monitors are now twice the size they used to be, they should add twice the whitespace to show the same amount of information as on a much smaller screen. Subversives within the company took to posting nearly blank sheets of printer paper on walls with the single word "Kennedy" in a tiny font you'd only see if you got close to the things. That said, my godawful company man manager would repeatedly proclaim how beautiful he thought the Kennedy layout was in our office for all to hear whenever they updated GMail or Search to use it.
Of course, there are other reasons beyond my tiny perspective here, but I did have a front row seat for this and it was really disappointing to see a potential Facebook killer die of a thousand papercuts like this.
Imagine a world where low information sorts interpret a sampling of possible hi-res reconstructions from low-res security videos as ground truth. That to me is far scarier than the OpenAI and MIRI fear-mongering about GPT-2.
I relocated out of the bay area in 2016-2017 and it was the happiest year of my adult life. I think Silicon Valley has a zero sum culture and having returned here for personal reasons but otherwise against my best judgment, I cannot wait to GTFO for keeps.
I am really really good (perhaps top 10 or so worldwide) at one thing, and pretty good at a couple other things. If I didn't have that, I think I would feel utterly worthless in 2019. If I extrapolate to most of America, wow, I get why they elected who they elected.
Something has gone very wrong here. And I am stymied as to how to fix it because neither political party, which gets to set the agenda every 4 years, seems to grasp what has gone wrong.
But when I travel abroad, I am happy. I see can-do cultures that have far less than western nations, but are so inspiringly optimistic to do more, that I don't want to come back to America. I want to set down roots and help them knock it out of the park. And I am getting close to doing exactly that. Doing so would shatter my personal life, but I suspect if 2020 continues what we started in 2016, I will follow through on what my inner voice is telling me to do.
On the contrary, I think this is one of the biggest emerging blockades to progress in ML/AI research, especially in academia. It has always been more cost-effective to run ML algorithms on consumer HW such as GeForce GPUs and gaming CPUs. It's frequently even faster than contemporary cloud offerings when the consumer HW gets ahead of existing enterprise HW. And it's so effective that HW companies starting changing their EULAs and crippling previously available aspects of APIs to herd AI back into the datacenter where they seem to think it belongs.
And that IMO is a reinvention of the "Walled Garden" of academic HPC (ask any grad student begging and pleading for supercomputer time) which has always sucked and its new commercial incarnation is even worse because it's unclear how to get commercial cloud time on government grants.
OTOH it's fine for large shops like OpenAI, DeepMind, AWS AI, FAIR, MS Research etc because they have deep deep pockets. So if you're content with most future groundbreaking research coming from a small tribe of market leaders, well great, but I suspect innovation is already slowing down because of this.