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Cake day: June 12th, 2023

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  • It has similarities though, as pointed out in orher comments. For one, a user might be more careful with downvotes if they are afraid of negative consequences e.g. harassment. With piblic votes, there would therefore be a bias towards upvotes and and people abstaining from downvotes, i.e. less interaction in total.

    Downvotes serve a purpose today, letting us quickly scan which comments are controversial or even harmful to the conversation. I, for one, usually sort most threads by votes and then skip the comments with many downvotes but for controversial topics, I instead seek out the comments that have both many upvotes and downvotes.

    These would be harder to find given the above bias.








  • Yea, this bubble is mostly LLM, but also deepfakes and other generative image algorithms. They are all ML. LLM has some fame because people can’t seem to realise that it’s crap. They definitely passed the Turing test, while still being pretty much useless.

    There are many other useless ML algorithms. Just because you don’t like something doesn’t mean it doesn’t belong. ML has some good stuff and some bad stuff. The statement “ML works” doesn’t mean anything. It’s like saying “math works”.

    There have been many AI bubbles in the past as well, as well as slumps. Look up the term AI winter. Most AI algorithms turn out not really working except for a few niche applications. You are probably referring to these few as “ML works”. Most AI projects fail, but some prevail. This goes for all tech though. So… tech works.

    What Microsoft is doing is they are trying to cast a wide net to see if they hit one of the few actual good applications for LLMs. Most of them will fail but there might be one or two really successful products. Good for them to have that kind of capital to just haphazardly try new features everywhere.


  • Lifter@discuss.tchncs.detoFuck AI@lemmy.worldIt isn't worth it
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    2 months ago

    Companies hve always simplified smart things and called it AI. AI is hotter than ever now, not only LLM.

    And again ML is a subset of AI, LLM is a subset of ML. With these definitions, everything is AI. Look up the definition of AI. It’s just a collection of techniques to do “smarter” things with AI. It includes all of the above, e.g. “If this then that” but also more advanced mathematics, like statistical methods and ML. LLM is one of those statistical models.



  • Lifter@discuss.tchncs.detoFuck AI@lemmy.worldIt isn't worth it
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    2 months ago

    You seem to be arguing against another stawman. OP didn’t say they only dislike LLM the sub is even “Fuck AI”. And this thread is talking about AI in general.

    Machine Learning is a subset of AI and has always been. Also, LLM is a subset of Machine Learning. You are trying to split hairs, or at least do a “That’s not a real Scotsman” out of the above post.