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For better or worse, in the coming years machines are going to start learning how to code. A non-trivial source of that knowledge is going to be open source code already written. Right now, the GPL works by making any projects that extend the code also be GPL. But what if a machine learning AI reads 1000 GPL programs as a basis, and then tries to author it's own, unique program? Would that completely new program need to be GPL? What if the machine learning AI read 1000 GPL programs and 1000 non-GPL programs? I don't know the answer, but it seems like everyone may have different views about their code being used as a source for machine learning (some may be fine with it, others may not). Seems like a discussion on the topic, and a standard for clearly declaring whether a project's code is allowable for use as a source for "machine learning". submitted by /u/zapbark [link] [comments]

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posted 1 day ago on reddit
Hey all, I've been running Solus OS for ages now and I forgot to share my small script that sits in the background and adjusts my GPU's fan speed depending on the core temperature (I game so I needed more control). Please note this requires "CoolBits" to be enabled; I'm using the value of 12. I didn't like the default fan-curve that Nvidia provides and I couldn't find a nice tool to make my own curve which is what lead me to writing my own script. It's just a simple Bash script that uses the Nvidia Settings' commands. I've set mine up for starting when I log in and just runs constantly. It barely uses any CPU time or anything like that so it should be fine for any system. I'm open to feedback, and of course feel free to modify it for your own needs. I'm no expert with Bash but I don't think I've done a bad job. Currently my curve is a bit aggressive so if you're concerned with noise you may want to change the variables a bit. https://github.com/nan0s7/nfancurve submitted by /u/nan0s7 [link] [comments]

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posted 2 days ago on reddit
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