Comment on Codeberg: army of AI crawlers are extremely slowing us; AI crawlers learned how to solve the Anubis challenges.

• londos@lemmy.world ⁨1⁩ ⁨month⁩ ago

  You’re 100% right. I just grasped at the first example I could think of where the crawlers could do free work. Yours is Mich better. Left is best.

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• andallthat@lemmy.world ⁨1⁩ ⁨month⁩ ago

  LLMs can’t do protein folding. A specifically-trained Machine Learning model called AlphaFold did. Here’s the paper.

  Developing, training and fine tuning that model was a research effort led by two guys who got a Nobel for it. Alphafold can’t do conversation or give you hummus recipes, it knows shit about the structure of human language but can identify pattern in the domain where it has been specifically and painstakingly trained.

  It wasn’t “hey chatGPT, show me how to fold a protein” is all I’m saying and the “superhuman reasoning capabilities” of current LLMs are still falling ridiculously short of even sinpler problems.

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  • patatahooligan@lemmy.world ⁨1⁩ ⁨month⁩ ago

    The crawlers for LLM are not themselves LLMs.

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  • kameecoding@lemmy.world ⁨1⁩ ⁨month⁩ ago

    They can’t bitcoin mine either, so technical feasibility wasn’t the goal of my reply

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  • mobotsar@sh.itjust.works ⁨5⁩ ⁨weeks⁩ ago

    Crawlers aren’t LLMs; they can do arbitrary computations (whatever the target demands to access resources).

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• NeilBru@lemmy.world ⁨1⁩ ⁨month⁩ ago

  Hey dipshits:

  The number of mouth-breathers who think every fucking “AI” is a fucking LLM is too damn high.

  • Every artificial intelligence is not a deep neural network algorithm.
  • Every deep neural network algorithm is not a generative adversarial network.
  • Every generative adversarial network is not a language model.
  • Every language model is not a large language model.

  Fucking fart-sniffing twats.

  $ . /end-rant.sh

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