• AbsolutelyNotAVelociraptor@sh.itjust.works
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      2 days ago

      Do you have a PhD in biology? If not, how can you say it’s wrong? Are you telling me that the x-ray fish picture is wrong? Or the Y place is? You can’t Claim it doesn’t have such intelligence level without said intelligence level, duh!

    • cynar@lemmy.worldM
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      1 day ago

      Having known people with PhDs, it’s closer than you think. It says more about people with PhDs however!

      PhDs tend to be specialists. At the extreme end, they can approach idiot savants. Idiot savant is a relatively good way to describe an LLM.

  • khaleer@sopuli.xyz
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    2 days ago

    There are tons of such images in the internet, but as ppl lost the ability to use search engine, now everyone seems to use ai as replacement.

    what a fucking idiots

    • Klear@quokk.au
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      2 days ago

      Have you tried using a search engine to find a picture lately? You’ll get 75% AI results.

      • khaleer@sopuli.xyz
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        1 day ago

        Well, yeah, that’s part of mine job. And I put enough efford to make it from 70% to around 10 or less.

        but indeed, it needs efford.

        • Klear@quokk.au
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          1 day ago

          Super tempted to pay for Kagi. None of the free search engines I tried worked for me. There are differences, but each is bad in a different way.

  • sidebro@lemmy.zip
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    2 days ago

    Why would you even use AI for something like this, though? Seems pretty pointless

    • halfdane@lemmy.world
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      2 days ago

      No idea why OP did it, but for me it demonstrates that the claims of techbros that these LLMs are working on a reasoning level comparable to PhD, is wildly exaggerated. It puts into question if spending literal trillions of dollars for this crap is a good idea, when 250 billion (inflation adjusted) could build the large hadron collider, or a meager 25 billion a year could prevent world hunger.

    • jj4211@lemmy.world
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      1 day ago

      While it’s easy to demonstrate it falling at “real work”, most of those examples only can be understood by people familiar with the niche.

      So this is basically showing failure on what “should” be their turf. A strong point of the LLMs is supposed to be milquetoast stuff like this, where pretty much this verbatim sort of content should have appeared over and over and over in the training content.

      For the supposed best of the best, worthy of billions upon billions directly and even more indirectly, this is just a way to be extra embarrassing.

      The kicker is when the tech bros get confronted repeatedly with the same exact dodgy behavior, they just smile and laugh. Watched a WSJ video about a vending machine experiment by anthropic that would have just been brutally embarrassing but the company rep just laughed it off. Not when the usual “we will fix that right away” ir even “you used it wrong” just a general attitude that screened “it doesn’t even matter, everyone is going to give us money anyway”

  • Riskable@programming.dev
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    2 days ago

    This is kind of interesting because it’s exactly the sort of “hard problem” that AI researchers have been trying to solve for a long time now. For a prompt like this to work, the inference step needs to be really fucking good at directing the rest of the model(s).

    For reference, anyone that uses AI image generation regularly would view this anyone that tries this as completely ignorant of how the tech works or just, “wishful thinking.”

    Someone with experience would generate one letter image at a time. Otherwise you’ll run into all sorts of problems such as all the animals looking like cats 🤣

  • Zier@fedia.io
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    2 days ago

    I rode my X-ray Fish to the store earlier. But he was in a bad mood. He kept barking at people.

  • muhyb@programming.dev
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    2 days ago

    Currently on mobile so cannot find the gif, but someone should post the gif for this here:

    Starts with:

    A is for:

    — Americans want to bomb me!