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AI agents wrong ~70% of time: Carnegie Mellon study

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  • What does "I give it data to put in a formulaic sentence." mean here

    Why not just share the details. I often find a lot of people saying it's doing crazy things and never like to share the details. It's very similar to discussing things with Trump supporters who do the same shit when pressed on details about stuff they say occurs. Like the same "you're a troll for asking for evidence of my claim" that trumpets do. It's wild how similar it is.

    And yes asking to do things like iterate over rows isn't how it works. It's getting better but that's not what it's primarily used for. It could be but isn't. It only catches so many tokens. It's getting better and has some persistence but it's nowhere near what its strength is.

    I would be in breach of contract to tell you the details. How about you just stop trying to blame me for the clear and obvious lies that the LLM churned out and start believing that LLMs ARE are strikingly fallible, because, buddy, you have your head so far in the sand on this issue it's weird.

    The solution to the problem was to realise that an LLM cannot be trusted for accuracy even if the first few results are completely accurate, the bullshit well creep in. Don't trust the LLM. Check every fucking thing.

    In the end I wrote a quick script that broke the input up on tab characters and wrote the sentence. That's how formulaic it was. I regretted deeply trying to get an LLM to use data.

    The frustrating thing is that it is clearly capable of doing the task some of the time, but drifting off into FANTASY is its strong suit, and it doesn't matter how firmly or how often you ask it to be accurate or use the input carefully. It's going to lie to you before long. It's an LLM. Bullshitting is what it does. Get it to do ONE THING only, then check the fuck out of its answer. Don't trust it to tell you the truth any more than you would trust Donald J Trump to.

  • Dunno. Asking 10 humans at random to do a task and probably one will do it better than AI. Just not as fast.

    You're better off asking one human to do the same task ten times. Humans get better and faster at things as they go along. Always slower than an LLM, but LLMs get more and more likely to veer off on some flight of fancy, further and further from reality, the more it says to you. The chances of it staying factual in the long term are really low.

    It's a born bullshitter. It knows a little about a lot, but it has no clue what's real and what's made up, or it doesn't care.

    If you want some text quickly, that sounds right, but you genuinely don't care whether it is right at all, go for it, use an LLM. It'll be great at that.

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    Reading with CEO mindset. 3 out of 10 employees can be fired.

  • I would be in breach of contract to tell you the details. How about you just stop trying to blame me for the clear and obvious lies that the LLM churned out and start believing that LLMs ARE are strikingly fallible, because, buddy, you have your head so far in the sand on this issue it's weird.

    The solution to the problem was to realise that an LLM cannot be trusted for accuracy even if the first few results are completely accurate, the bullshit well creep in. Don't trust the LLM. Check every fucking thing.

    In the end I wrote a quick script that broke the input up on tab characters and wrote the sentence. That's how formulaic it was. I regretted deeply trying to get an LLM to use data.

    The frustrating thing is that it is clearly capable of doing the task some of the time, but drifting off into FANTASY is its strong suit, and it doesn't matter how firmly or how often you ask it to be accurate or use the input carefully. It's going to lie to you before long. It's an LLM. Bullshitting is what it does. Get it to do ONE THING only, then check the fuck out of its answer. Don't trust it to tell you the truth any more than you would trust Donald J Trump to.

    This is crazy. I've literally been saying they are fallible. You're saying your professional fed and LLM some type of dataset. So I can't really say what it was you're trying to accomplish but I'm just arguing that trying to have it process data is not what they're trained to do. LLM are incredible tools and I'm tired of trying to act like they're not because people keep using them for things they're not built to do. It's not a fire and forget thing. It does need to be supervised and verified. It's not exactly an answer machine. But it's so good at parsing text and documents, summarizing, formatting and acting like a search engine that you can communicate with rather than trying to grok some arcane sentence. Its power is in language applications.

    It is so much fun to just play around with and figure out where it can help. I'm constantly doing things on my computer it's great for instructions. Especially if I get a problem that's kind of unique and needs a big of discussion to solve.

  • This is crazy. I've literally been saying they are fallible. You're saying your professional fed and LLM some type of dataset. So I can't really say what it was you're trying to accomplish but I'm just arguing that trying to have it process data is not what they're trained to do. LLM are incredible tools and I'm tired of trying to act like they're not because people keep using them for things they're not built to do. It's not a fire and forget thing. It does need to be supervised and verified. It's not exactly an answer machine. But it's so good at parsing text and documents, summarizing, formatting and acting like a search engine that you can communicate with rather than trying to grok some arcane sentence. Its power is in language applications.

    It is so much fun to just play around with and figure out where it can help. I'm constantly doing things on my computer it's great for instructions. Especially if I get a problem that's kind of unique and needs a big of discussion to solve.

    it’s so good at parsing text and documents, summarizing

    No. Not when it matters. It makes stuff up. The less you carefully check every single fucking thing it says, the more likely you are to believe some lies it subtly slipped in as it went along. If truth doesn't matter, go ahead and use LLMs.

    If you just want some ideas that you're going to sift through, independently verify and check for yourself with extreme skepticism as if Donald Trump were telling you how to achieve world peace, great, you're using LLMs effectively.

    But if you're trusting it, you're doing it very, very wrong and you're going to get humiliated because other people are going to catch you out in repeating an LLM's bullshit.

  • it’s so good at parsing text and documents, summarizing

    No. Not when it matters. It makes stuff up. The less you carefully check every single fucking thing it says, the more likely you are to believe some lies it subtly slipped in as it went along. If truth doesn't matter, go ahead and use LLMs.

    If you just want some ideas that you're going to sift through, independently verify and check for yourself with extreme skepticism as if Donald Trump were telling you how to achieve world peace, great, you're using LLMs effectively.

    But if you're trusting it, you're doing it very, very wrong and you're going to get humiliated because other people are going to catch you out in repeating an LLM's bullshit.

    If it's so bad as if you say, could you give an example of a prompt where it'll tell you incorrect information.

  • If it's so bad as if you say, could you give an example of a prompt where it'll tell you incorrect information.

    It's like you didn't listen to anything I ever said, or you discounted everything I said as fiction, but everything your dear LLM said is gospel truth in your eyes. It's utterly irrational. You have to be trolling me now.

  • It's like you didn't listen to anything I ever said, or you discounted everything I said as fiction, but everything your dear LLM said is gospel truth in your eyes. It's utterly irrational. You have to be trolling me now.

    Should be easy if it's that bad though

  • Should be easy if it's that bad though

    I already told you my experience of the crapness of LLMs and even explained why I can't share the prompt etc. You clearly weren't listening or are incapable of taking in information.

    There's also all the testing done by the people talked about in the article we're discussing which you're also irrationally dismissing.

    You have extreme confirmation bias.

    Everything you hear that disagrees with your absurd faith in the accuracy of the extreme blagging of LLMs gets dismissed for any excuse you can come up with.

  • I already told you my experience of the crapness of LLMs and even explained why I can't share the prompt etc. You clearly weren't listening or are incapable of taking in information.

    There's also all the testing done by the people talked about in the article we're discussing which you're also irrationally dismissing.

    You have extreme confirmation bias.

    Everything you hear that disagrees with your absurd faith in the accuracy of the extreme blagging of LLMs gets dismissed for any excuse you can come up with.

    You're projecting here. I'm asking you to give an example of any prompt. You're saying it's so bad that it needs to be babysat because it's errors. I'll only asking for your to give an example and you're saying that's confirmation bias and acting like I'm being religiously ignorant

  • You're projecting here. I'm asking you to give an example of any prompt. You're saying it's so bad that it needs to be babysat because it's errors. I'll only asking for your to give an example and you're saying that's confirmation bias and acting like I'm being religiously ignorant

    This is you

  • I made a porn scroller without the clutter

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  • Microsoft sued by authors over use of books in AI training

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    isaamoonkhgdt_6143@lemmy.zipI
    The writers alleged in the complaint that Microsoft used a collection of nearly 200,000 pirated books to train Megatron, an algorithm that gives text responses to user prompts. Which Megatron are we referring to? This [image: c747568b-0dd5-431e-bd19-2fbfdf5d372c.webp] Or This [image: 735a9693-ec67-489c-92f6-addb803291a4.webp]
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    M
    I have like a dozen Gmail accounts, and I know plenty of others who do too. Before I owned my own domain, I used the different accounts for different things.
  • Let the A.I work or not?

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    B
    That’s not the right analogy here. The better analogy would be something like: Your scary mafia-related neighbor shows up with a document saying your house belongs to his land. You said no way, you have connections with someone important that assured you your house is yours only and they’ll help you with another mafia if they want to invade your house. The whole neighborhood gets scared of an upcoming bloodbath that might drag everyone into it. But now your son says he actually agrees that your house belongs to your neighbor, and he’s likely waiting until you’re old enough to possibly give it up to him.
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    D
    "Extra Verification steps" I know how large social media companies operate. This is all about increasing the value of Reddit users to advertisers. The goal is to have a more accurate user database to sell them. Zuckerberg literally brags to corporations about how good their data is on users: https://www.facebook.com/business/ads/performance-marketing Here, Zuckerberg tells corporations that Instagram can easily manipulate users into purchasing shit: https://www.facebook.com/business/instagram/instagram-reels Always be wary of anything available for free. There are some quality exceptions (CBC, VLC, The Guardian, Linux, PBS, Wikipedia, Lemmy, ProPublica) but, by and large, "free" means they don't care about you. You are just a commodity that they sell. Facebook, Google, X, Reddit, Instagram... Their goal is keep people hooked to their smartphone by giving them regular small dopamine hits (likes, upvotes) followed by a small breaks with outrageous content/emotional content. Keep them hooked, gather their data, and sell them ads. The people who know that best are former top executives : https://www.theguardian.com/technology/2017/oct/05/smartphone-addiction-silicon-valley-dystopia https://www.nytimes.com/2019/03/01/business/addictive-technology.html https://www.today.com/parents/teens/facebook-whistleblower-frances-haugen-rcna15256
  • The bots are among us.

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    yerbouti@sh.itjust.worksY
    Yeah she was on to something with the layers, but screw it up. I’m sure the models got better since.
  • A Novel Approach to Youtube Ads

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    Part of the reason I am not advocating for or against the extension or the source. People can judge for themselves. I thought it was funny (not a great idea but definitely an interesting implementation). For the record I use both ublock origin and Firefox, and I also run a pihole at home. I'm just putting out there that it exists.