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Joined 3 years ago
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Cake day: June 13th, 2023

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  • But that doesn’t mean LLM’S don’t fit some of the technical definitions of AI

    When faced with slop vendors arguing in bad faith, we shouldn’t get caught up on technicalities. The “technically it is (a subset of) AI” argument is used to sell gullible people solutions that are already getting people killed - and not necessarily those who were gullible enough to believe the “AI” bullshit.

    So for LLMs, it should be common sense to call them slop / dangerous bullshit generators and refuse to talk with anyone who sells them as “AI”.






  • LLMs use a new way of data processing (focused on language rules) which is what brought the boost. Not more training data. More training data is needed for an LLM to reach “maturity” but it also increases cost due to resource usage. And current LLMs have already absorbed basically all of the internet and most books, and since the internet is now full of slop, more unpoisoned training data does not exist. That’s why more does not help anymore.





  • I don’t see how the machine that generates code that must be assumed to be broken, and statements about said code that must be assumed to be wrong, until both have been manually verified, because the “hallucination” issue is inherent to the design of LLMs and cannot be solved, is supposed to make my life easier. Especially since a well known problem in computer science is that writing code is more fun than reading it.

    quoted for emphasis. you have more patience than I do in telling sycophants why their take is idiotic.