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

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  • You just can't talk to people, period, you are just a dick, you were also just proven to be stupider than a fucking LLM, have a nice day 😀

    Did the autocomplete told you to answer this? Don't answer, actually, save some energy.

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    Now I'm curious, what's the average score for humans?

  • The 256 thing was written by a person. AI doesn't have exclusive rights to being dumb, plenty of dumb people around.

    you're right, the dumb of AI is completely comparable to the dumb of human, there's no difference worth talking about, sorry i even spoke the fuck up

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    I asked Claude 3.5 Haiku to write me a quine in COBOL in the bs2000 dialect. Claude does now that creating a perfect quine in COBOL is challenging due to the need to represent the self-referential nature of the code. After a few suggestions Claude restated its first draft, without proper BS2000 incantations, without a perform statement, and without any self-referential redefines. It's a lot of work. I stopped caring and moved on.

    For those who wonder: https://sourceforge.net/p/gnucobol/discussion/lounge/thread/495d8008/ has an example.

    Colour me unimpressed. I dread the day when they force the use of 'AI' on us at work.

  • Why are you giving it data

    Because there's a button for that.

    It’s output is dependent on the input

    This thing that you said... It's false.

    There's a sleep button on my laptop. Doesn't mean I would use it.

    I'm just trying to say you're saying the feature that everyone kind of knows doesn't work. Chatgpt is not trained to do calculations well.

    I just like technology and I think and fully believe the left hatred of it is not logical. I believe it stems from a lot of media be and headlines. Why there's this push From media is a question I would like to know more. But overall, I see a lot of the same makers of bullshit yellow journalism for this stuff on the left as I do for similar bullshit on the right wing spaces towards other things.

  • America: "Good enough to handle 911 calls!"

    Is there really a plan to use this for 911 services??

  • Wow. 30% accuracy was the high score!
    From the article:

    Testing agents at the office

    For a reality check, CMU researchers have developed a benchmark to evaluate how AI agents perform when given common knowledge work tasks like browsing the web, writing code, running applications, and communicating with coworkers.

    They call it TheAgentCompany. It's a simulation environment designed to mimic a small software firm and its business operations. They did so to help clarify the debate between AI believers who argue that the majority of human labor can be automated and AI skeptics who see such claims as part of a gigantic AI grift.

    the CMU boffins put the following models through their paces and evaluated them based on the task success rates. The results were underwhelming.

    ⚫ Gemini-2.5-Pro (30.3 percent)
    ⚫ Claude-3.7-Sonnet (26.3 percent)
    ⚫ Claude-3.5-Sonnet (24 percent)
    ⚫ Gemini-2.0-Flash (11.4 percent)
    ⚫ GPT-4o (8.6 percent)
    ⚫ o3-mini (4.0 percent)
    ⚫ Gemini-1.5-Pro (3.4 percent)
    ⚫ Amazon-Nova-Pro-v1 (1.7 percent)
    ⚫ Llama-3.1-405b (7.4 percent)
    ⚫ Llama-3.3-70b (6.9 percent),
    ⚫ Qwen-2.5-72b (5.7 percent),
    ⚫ Llama-3.1-70b (1.7 percent)
    ⚫ Qwen-2-72b (1.1 percent).

    "We find in experiments that the best-performing model, Gemini 2.5 Pro, was able to autonomously perform 30.3 percent of the provided tests to completion, and achieve a score of 39.3 percent on our metric that provides extra credit for partially completed tasks," the authors state in their paper

    sounds like the fault of the researchers not to build better tests or understand the limits of the software to use it right

  • sounds like the fault of the researchers not to build better tests or understand the limits of the software to use it right

    Are you arguing they should have built a test that makes AI perform better? How are you offended on behalf of AI?

  • you're right, the dumb of AI is completely comparable to the dumb of human, there's no difference worth talking about, sorry i even spoke the fuck up

    No worries.

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    Why would they be right beyond word sequence frecuencies?

  • There's a sleep button on my laptop. Doesn't mean I would use it.

    I'm just trying to say you're saying the feature that everyone kind of knows doesn't work. Chatgpt is not trained to do calculations well.

    I just like technology and I think and fully believe the left hatred of it is not logical. I believe it stems from a lot of media be and headlines. Why there's this push From media is a question I would like to know more. But overall, I see a lot of the same makers of bullshit yellow journalism for this stuff on the left as I do for similar bullshit on the right wing spaces towards other things.

    Again with dismissing the evidence of my own eyes!

    I wasn't asking it to do calculations, I was asking it to put the data into a super formulaic sentence. It was good at the first couple of rows then it would get stuck in a rut and start lying. It was crap. A seven year old would have done it far better, and if I'd told a seven year old that they had made a couple of mistakes and to check it carefully, they would have done.

    Again, I didn't read it in a fucking article, I read it on my fucking computer screen, so if you'd stop fucking telling me I'm stupid for using it the way it fucking told me I could use it, or that I'm stupid for believing what the media tell me about LLMs, when all I'm doing is telling you my own experience, you'd sound a lot less like a desperate troll or someone who is completely unable to assimilate new information that differs from your dogma.

  • That looks better. Even with a fair coin, 10 heads in a row is almost impossible.

    And if you are feeding the output back into a new instance of a model then the quality is highly likely to degrade.

    Whereas if you ask a human to do the same thing ten times, the probability that they get all ten right is astronomically higher than 0.0000059049.

  • Again with dismissing the evidence of my own eyes!

    I wasn't asking it to do calculations, I was asking it to put the data into a super formulaic sentence. It was good at the first couple of rows then it would get stuck in a rut and start lying. It was crap. A seven year old would have done it far better, and if I'd told a seven year old that they had made a couple of mistakes and to check it carefully, they would have done.

    Again, I didn't read it in a fucking article, I read it on my fucking computer screen, so if you'd stop fucking telling me I'm stupid for using it the way it fucking told me I could use it, or that I'm stupid for believing what the media tell me about LLMs, when all I'm doing is telling you my own experience, you'd sound a lot less like a desperate troll or someone who is completely unable to assimilate new information that differs from your dogma.

    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.

  • Whereas if you ask a human to do the same thing ten times, the probability that they get all ten right is astronomically higher than 0.0000059049.

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

  • 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.

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    Did you, by any chance, ever wonder, why people deal with hunger instead of just eating cake?
  • I Counted All of the Yurts in Mongolia Using Machine Learning

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    I'd say, when there's a policy and its goals aren't reached, that's a policy failure. If people don't like the policy, that's an issue but it's a separate issue. It doesn't seem likely that people prefer living in tents, though. But to be fair, the government may be doing the best it can. It's ranked "Flawed Democracy" by The Economist Democracy Index. That's really good, I'd say, considering the circumstances. They are placed slightly ahead of Argentina and Hungary. OP has this to say: Due to the large number of people moving to urban locations, it has been difficult for the government to build the infrastructure needed for them. The informal settlements that grew from this difficulty are now known as ger districts. There have been many efforts to formalize and develop these areas. The Law on Allocation of Land to Mongolian Citizens for Ownership, passed in 2002, allowed for existing ger district residents to formalize the land they settled, and allowed for others to receive land from the government into the future. Along with the privatization of land, the Mongolian government has been pushing for the development of ger districts into areas with housing blocks connected to utilities. The plan for this was published in 2014 as Ulaanbaatar 2020 Master Plan and Development Approaches for 2030. Although progress has been slow (Choi and Enkhbat 7), they have been making progress in building housing blocks in ger distrcts. Residents of ger districts sell or exchange their plots to developers who then build housing blocks on them. Often this is in exchange for an apartment in the building, and often the value of the apartment is less than the land they originally had (Choi and Enkhbat 15). Based on what I’ve read about the ger districts, they have been around since at least the 1970s, and progress on developing them has been slow. When ineffective policy results in a large chunk of the populace generationally living in yurts on the outskirts of urban areas, it’s clear that there is failure. Choi, Mack Joong, and Urandulguun Enkhbat. “Distributional Effects of Ger Area Redevelopment in Ulaanbaatar, Mongolia.” International Journal of Urban Sciences, vol. 24, no. 1, Jan. 2020, pp. 50–68. DOI.org (Crossref), https://doi.org/10.1080/12265934.2019.1571433.
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    theyll only stop selling politicians and block that
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    If anyone ever tells you they can't hire enough of blank they are lying to you. People have been running excellent 911 service all over the country for longer than I've been alive maybe they should ask someone?
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    "mistakes"
  • OpenAI plans massive UAE data center project

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    TD Cowen (which is basically the US arm of one of the largest Canadian investment banks) did an extensive report on the state of AI investment. What they found was that despite all their big claims about the future of AI, Microsoft were quietly allowing letters of intent for billions of dollars worth of new compute capacity to expire. Basically, scrapping future plans for expansion, but in a way that's not showy and doesn't require any kind of big announcement. The equivalent of promising to be at the party and then just not showing up. Not long after this reporting came out, it got confirmed by Microsoft, and not long after it came out that Amazon was doing the same thing. Ed Zitron has a really good write up on it; https://www.wheresyoured.at/power-cut/ Amazon isn't the big surprise, they've always been the most cautious of the big players on the whole AI thing. Microsoft on the other hand are very much trying to play things both ways. They know AI is fucked, which is why they're scaling back, but they've also invested a lot of money into their OpenAI partnership so now they have to justify that expenditure which means convincing investors that consumers absolutely love their AI products and are desparate for more. As always, follow the money. Stuff like the three mile island thing is mostly just applying for permits and so on at this point. Relatively small investments. As soon as it comes to big money hitting the table, they're pulling back. That's how you know how they really feel.
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    By giving us the choice of whether someone else should profit by our data. Same as I don't want someone looking over my shoulder and copying off my test answers.