Ataru074
Ataru074 t1_j247fvr wrote
Reply to comment by Miguel33Angel in ML Impacts [D] by evomed
Exactly. Society adapted over time to changing working conditions, productivity etc.
The entire idea that a “living wage” has to come from 40ish hours of work a week is… a construct, or a social norm.
The entire idea that productivity increase has to go into value for shareholder is another construct. We could just live equally well saying that productivity increases go toward reduction of worked hours.
Ataru074 t1_iyi2vrv wrote
Reply to comment by normie1990 in [Discussion] Should I go with Threadripper 5000 and multi-GPU, or Ryzen 9 with single GPU? by normie1990
You can get away with waaaaaaay less power than that.
Ataru074 t1_iyhp40v wrote
Reply to comment by normie1990 in [Discussion] Should I go with Threadripper 5000 and multi-GPU, or Ryzen 9 with single GPU? by normie1990
As someone who actually built a system like that with the 3000 series.. yes, it can run crysis in 640*480 minimum settings.
You are looking at a 5 figures system when all said and done which will be worth half of it in one year or so.
That’s the equivalent of 400+ hours of training on the most expensive A100 cloud solution you can buy.
And that’s just for the bare metal. Add having to supply about 2.5kwh to keep such system running, 400 hours is a whole lot of time.
I never used my system for so much training, but hey… I can run crysis.
Ataru074 t1_iy7xav8 wrote
That isn’t how science works.
Is it useful to learn how to program these? Well, yes if you truly want to understand the mechanics of something and it’s limitations. In a way to understand that you should use a language as close to the bare metal as possible, such as C or Assembly.
In the same way it’s important to be able to work the math is you truly want to understand it.
But, at certain point you have to either become a researcher in “that” field, or trust the work of other researchers and move on.
I’m not saying you should blindly apply mathematical models to your data, you should at least know enough to know if the model is correct for your application, if you are covering the bases in terms of assumptions and so on…
Look at R itself, if you are using R for this job. When you install new packages the first thing that R does is check the dependencies and install the dependencies first, which might rely on other dependencies. Because nobody would be a fool enough to reprogram the whole thing from scratch.
Ataru074 t1_iw94myh wrote
Reply to comment by [deleted] in [D] ML/AI role as a disabled person by badhandml
+1 for MSFT. So far the most truly inclusive organization I worked for. They put their money where their mouth is.
Ataru074 t1_isx0dq8 wrote
Reply to comment by rstjohn in [D] How frustrating are the ML interviews these days!!! TOP 3% interview joke by Mogady
Absolutely true. With a catch… a startup can be a rollercoaster for your own self esteem, a large corp is a gauge.
Ataru074 t1_istbyrf wrote
Reply to comment by Apprehensive-Grade81 in [D] How frustrating are the ML interviews these days!!! TOP 3% interview joke by Mogady
I recommend anyone to go work for a while for the big dogs. That gives you a much better perspective in your professional life.
I mean, if you can get a job in a F100 corp, do it, see if you like it, and then have the peace of mind that if you are good enough for one of the largest corporation on the planet, you should be plenty good for pretentious small shit.
Ataru074 t1_ist8z4p wrote
Reply to comment by Apprehensive-Grade81 in [D] How frustrating are the ML interviews these days!!! TOP 3% interview joke by Mogady
But that’s on you, not on them. Imposter syndrome is real and hard to shake off… but keep in mind that large employers are much better at selecting personnel than small companies. So, maybe it’s time to step up the game and go for the big ass corporations.
Ataru074 t1_j3yli8c wrote
Reply to comment by onehitwonderos in [D] Microsoft ChatGPT investment isn't about Bing but about Cortana by fintechSGNYC
The new empowered version… Clitty.