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Cake day: July 1st, 2023

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  • yes but now you’ve shifted the problem again. You went from detecting infinite sites by detecting loops in an infinite tree without loops or with infinite distinct urls, to somehow keeping a list of all infinite distinct urls to avoid going to one twice(which you wouldn’t anyway, because there are infinite links), to assuming you have a list that already detected which sites these are so you could avoid them and therefore not have to worry about detecting them (the very thing you started with).

    It’s ok to admit that your initial idea was wrong. You did not solve a coding problem. You changed the requirements so it’s not your problem anymore.

    And storing a domain whitelist would’t work either, btw. A tarpit entrance is just one url among lots of legitimate ones, in legitimate domains.










  • vrighter@discuss.tchncs.detoMicroblog Memes@lemmy.worlddeepseek
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    1 month ago

    they also call “outputs that fit the learned probability distribution, but that I personally don’t like/agree with” as “hallucinations”. They also call “showing your working” reasoning. The llm space has redefined a lot of words. I see no problem with defining words. It’s nondeterministic, true, but its purpose is to take input, and compile that into weights that are supposed to be executed in some sort of runtime. I don’t see myself as redefining the word. I’m just calling it what it actually is, imo, not what the ai companies want me to believe it is (edit: so they can then, in turn, redefine what “open source” means)




  • vrighter@discuss.tchncs.detoMicroblog Memes@lemmy.worlddeepseek
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    1 month ago

    no, it’s not. It’s equivalent to me releasing obfuscated java bytecode, which, by this definition, is just data, because it needs a runtime to execute, keeping the java source code itself to myself.

    Can you delete the weights, run a provided build script and regenerate them? No? then it’s not open source.