Microsoft and Meta join Google in using AI to help run their data centers
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Also, I don’t believe that’s the proper usage of that term. It would go like this “It cannot be magical, because math is logical.”
Edit for maxdepth reply: The example is looking at any code for a model released in TensorFlow or PyTorch, because it’s 1) quite (exactly) concrete 2) linear algebra with autograd bolted on top. I did a quick search and there are plenty of translators on GitHub that demonstrate that. Here’s an annotated example of neural nets from PyTorch https://pytorch.org/tutorials/beginner/blitz/neural_networks.... What’s incomprehensible about it and would the authors of a ML paper also describe those features as incomprehensible?
Like how a person from 4000bc would think of a voice assistant
If it isn’t fancy please share the ML model for ancient Egyptian to English translator
Thus, the technology of AI has improved from a sea of spaghetti code that no human can understand, to a bunch of neural net weights that no human can understand. I love the march of progress. :-)
In the list of "possible jobs to have", data centers are comparatively sterile.
Loud? Yes. Lonely? Yes. Vast? Yes. Hazardous? That's a stretch.
Further, I think its weird you don't think of the sound as a hazard. When its so loud you must wear 30+NRR hearing protection, it sure seems like a hazard to me.
That sounds very different from my experience (not with MS DCs) --- where it was loud (though not quite as loud as e.g. an automotive shop) and windy, but the temperature was kept at a controlled 68F (20C) and alerts were raised if it got even slightly hotter than that.
Yes, I suppose there is more risk than sitting at a desk all day, but I think the parent is comparing it to many other jobs like those in the heavy equipment industry, mining, farming, petro, etc.
Certainly there are riskier jobs. Certainly, by and large, data centers are safe places to work. But they are not without hazards and I (obviously) find it irksome when those hazards are dismissed so easily.
[1] https://www.datacenterknowledge.com/archives/2008/06/01/expl...