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Joined 1 year ago
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Cake day: June 27th, 2023

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  • Don’t even need to make it about code. I once asked what a term meant in a page full of a certain well known FOSS application’s benchmarks page. It gave me a lot of garbage that was unrelated because it made an assumption about the term, exactly the assumption I was trying to avoid. I try to deviate it away from that, and it fails to say anything coherent and then loops back and gives that initial attempt as the answer again. I was stuck unable from stopping it from hallucinating.

    How? Why?

    Basically, it was information you could only find by looking at the github code, and it was pretty straightforward - but the LLM sees “benchmark” and it must therefore make a bajillion assumptions.

    Even if asked not to.

    I have a conclusion to make. It does do the code thing too, and it is directly related. Once asked about a library, and it found a post where someone was ASKING if XYZ was what a piece of code was for - and it gave it out as if it was the answer. It wasn’t. And this is the root of the problem:

    AI’s never say “I don’t know”.

    It must ALWAYS know. It must ALWAYS assume something, anything, because not knowing is a crime and it won’t commit it.

    And that makes them shit.



  • Yeah, I read an article from someone explaining the actual user experience in Threads and it’s abysmal. You try to curate your feed and instead of getting what you expect, you get content from the likes of people your followers followed followed and are left wondering who the hell everyone is. It’s far from the type of setup you get on Instagram.

    With that said, Threads had lost half its users ages ago. This headline is sensational, and the platform could easily recover. I don’t want to give it much weight.