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Joined 10 months ago
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Cake day: March 3rd, 2024

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  • Been the only one in my family for years using Linux, but over the last few months struggles with Windows have basically resulted in all but one computer in the house being migrated to Linux.

    Put it on my 10-year-old son’s desktop because Windows parental controls have been made overly complicated and require Internet connectivity and multiple Microsoft accounts to manage. Switched to Linux Mint, installed the apt sources for the parental control programs, made myself an account with permissions and one for him without permissions to change the parental controls, and done. With Steam he can play all of the games in his library.

    Only my wife is still using Windows, but with ads embedded in the OS ramping up, and features she liked getting replaced with worse ones, she’s getting increasingly frustrated with Microsoft.


  • I don’t see how this wouldn’t be derivative work. I highly doubt a robust, commercial software solution using AI-generated code would not have modified that code. I use AI to generate boilerplate code for my side projects, and it’s exceedingly rare that its product is 100% correct. Since that generated code is not copyrightable, it’s public domain, and now I’m creating a derived work from it, so that derived work is mine.

    As AI gets better at generating code and we can directly use it without modification, this may become an issue. Or maybe not. Maybe once the AI is that good, you no longer have software companies, since you can just generate the code you need, so software development as a business becomes obsolete, like the old human profession of “computer.”


  • This makes sense to me, and is in line with recent interpretations about AI-generated artwork. Basically, if a human directly creates something, it’s protected by copyright. But if someone makes a thing that itself creates something, that secondary work is not protected by copyright. AI-generated artwork is an extreme example of this, but if that’s the framework, applying it to data newly generated by any code seems reasonable.

    This wouldn’t/shouldn’t apply to something like compression, where you start with a work directly created by someone, apply an algorithm to transform it into a compressed state, and then apply another algorithm to transform the data back into the original work. That original work was still created by someone and so should be protected by copyright. But a novel generation of data, like the game state in memory during the execution of the game’s programming, was never directly created by someone, and so isn’t protected.


  • The judge also noted that the cited study itself mentions that GitHub Copilot “rarely emits memorised code in benign situations.”

    “Rarely” is not zero. This looks like it’s opening a loophole to copying open source code with strong copyleft licenses like the GPL:

    1. Find OSS code you want to copy
    2. Set up conditions for Copilot to reproduce code
    3. Copy code into your commercial product
    4. When sued, just claim Copilot generated the code

    Depending on how good your lawyers are, 2 is optional. And bingo! All the OSS code you want without those pesky restrictive licenses.

    In fact, I wonder if there’s a way to automate step 2. Some way to analyze an OSS GitHub repo to generate inputs for Copilot that will then regurgitate that same repo.








  • On Sundays I do lunch prep for the days in office. A few slices of deli meat and block cheese for a nice flavor. Then a pile of raw veggies and a small container of dipping sauce. I prefer sliced bell pepper and green onion with ranch dressing, but you can do whatever veggies you prefer (for example spinach, sugar snap peas, carrots). I always feel great after that lunch; grains like bread or chips always made me feel lethargic.

    I take it into the office in a plastic bento box to keep everything from jostling around, and the sauce goes in a smaller reusable container separately.