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Joined 1 year ago
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Cake day: October 30th, 2023

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  • The architecture can easily be open source - as long as repo is missing just the training data. Just like there are Doom engines that are open source, even though they do not provide WAD files, which are still copyrighted. The code is there, but it is somewhat useless without the data. Analogy is not perfect, but let’s assume it compiles to a single binary containing everything, maps included.

    If ID Software gives you a compiled Doom with maps free to use it is freeware. If they open source the engine (they actually did), but do not release the WAD files as open source, the compiled game is not open source - it is still freeware.

    It is not complicated really.




  • Adding AI is like adding a lane to a crowded street. It will move more cars per hour, but the street will soon have the same traffic jams as before.

    Workers will be as busy and as overworked as before.

    Plus, even though people theoretically do more, it is not really more. For example Digital Signage - before generative AI you would put in some text, a clipart or a stock image and call it a day. Now one may be expected to polish the text with AI plus generate a more fitting image. Does it make a nicer Digital Signage? Sure. Will productivity actually go up? I doubt it.







  • llothar@lemmy.mltoTechnology@lemmy.ml...
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    1 year ago

    I think the biggest benefit is for people that cannot code or are just learning. Before a python script to do X or Y was a real problem. Now it is easy.

    Plus it may help with Linux adoption - LLM can describe few commands in terminal plus some text config easily, but will struggle with Windows-like graphical configuration.