61–70 of 83 posts
Very frustrating read. Read more like an advertisement than an informative article. The claims made would've made for a very interesting tech-dive into a novel use of machine intelligence, but no details were provided.
How exactly is this better than standard PID control? I'm thinking if you actually look at what it came up with, is probably some form of PID control on systems that previously didn't have it. Think fans that are simply left on all the time. We're talking about simple physics. Heat transfer. Cooling systems. They should have been installed, operated and programmed correctly using very simple techniques. It's an inter…
At some point will AI start to have questions like "Who am I? Who made me? Whats the purpose of my existence?" etc. We will have atheist AI's and theist/deist AI's and what not. I guess it will be time for some AI philosophy. Makes me wonder if there's a creator, will He/She be amused by our attempts at answering "Who am I" and such questions. Will be fun :D
Earlier quoted context omitted.
I disagree. If you read the atari paper you will get plenty of details and you can infer how it is applied to electricity consumption. They were using reinforcement learning. The algorithms would learn to get a better score by looking at the screen and sending actions accordingly. Here you could imagine the same algorithm with energy consumption as a score, a set of datacenter metrics as the screen (state) and change…
Errr... No. Just no. Deep reinforcement learning is not some pixie dust that magically works for any problem with a reward function that you throw it at. It's astounding how commenters on HN think this is all "easy".
They saved "several percentage points" off of 4.4M MWh, so maybe 250M KWH, which might be $10-20M. At 30x earnings [1], they just made back most if not all of the purchase price of Deepmind [2] [1] https://ycharts.com/companies/GOOG/pe_ratio [2] https://techcrunch.com/2014/01/26/google-deepmind/
At 30x earnings [1], they just made back most if not all of the purchase price of Deepmind That's a unique way of defining "made back"
The next step, of course, is to let the AI know which servers in the server-farm itself is running on so that it can optimize for self preservation.
OT: it's frustrating to pay Google Contributor to skip ads, and still get nagged by bloomberg.com for using an ad blocker (which I've never done). https://www.google.com/contributor/
Earlier quoted context omitted.
Errr... No. Just no. Deep reinforcement learning is not some pixie dust that magically works for any problem with a reward function that you throw it at. It's astounding how commenters on HN think this is all "easy".
This quickly went to you say this, I say this. These are very interesting statements, it would be nice if they were supported by citations.
They saved "several percentage points" off of 4.4M MWh, so maybe 250M KWH, which might be $10-20M. At 30x earnings [1], they just made back most if not all of the purchase price of Deepmind [2] [1] https://ycharts.com/companies/GOOG/pe_ratio [2] https://techcrunch.com/2014/01/26/google-deepmind/
One might assume, though, that Google could've applied more homegrown ML to the same problem and achieved significant savings as well.