• WoodScientist@lemmy.world
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    4 days ago

    So here’s the path that you’re envisioning:

    1. Someone wants to send you a communication of some sort. They draft a series of bullet points or short version.

    2. They have an LLM elaborate it into a long-form email or report.

    3. They send the long-from to you.

    4. You receive it and have an LLM summarize the long-form into a short-form.

    5. You read the short form.

    Do you realize how stupid this whole process is? The LLM in step (2) cannot create new useful information from nothing. It is simply elaborating on the bullet points or short version of whatever was fed to it. It’s extrapolating and elaborating, and it is doing so in a lossy manner. Then in step (4), you go through ANOTHER lossy process. The LLM in step (4) is summarizing things, and it might be removing some of the original real information the human created in step (1), rather than the useless fluff the LLM in step (2) added.

    WHY NOT JUST HAVE THE PERSON DIRECTLY SEND YOU THE BULLET POINTS FROM STEP (1)???!!

    This is idiocy. Pure and simply idiocy. We send start with a series of bullet points, and we end with a series of bullet points, and it’s translated through two separate lossy translation matrices. And we pointlessly burn huge amounts of electricity in the process.

    This is fucking stupid. If no one is actually going to read the long-form communications, the long-form communications SHOULDN’T EXIST.

    • Grandwolf319@sh.itjust.works
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      3 days ago

      Yep, pretty much every single “good” use case of AI I’ve seen is basically a band aid solution to enshitification.

      You know what’s a good solution to that? Removing the profit motive.

    • spector@lemmy.ca
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      3 days ago

      Also neither side necessarily knows the others filter chain. Generational loss could grow exponentially. Not only loss but addition by fabrication. Each side trading back and forth indeterminate deletions/additions. It’s worse than traditional generational loss. It’s generational noise which can resemble signal too.

      So if I receive a long form then how do I know if the substantial text is worth reading for the nuance from an actual human being. I can’t tell that apart from generated filler. If a human wrote the long form then maybe they’ve elaborated some nuance that deserved long form.

      On the flip side of the same coin. If I receive a short form either generated by me or them. Then to what degree can I trust the indeterminate noisy summary. I just have to trust that the LLM picked out precisely the key points that the author wanted to convey. And trust that nuance was not lost, skewed, or fabricated.

      It would be inevitable that two sides end up in a shooting war. Proverbial or otherwise. Because two communiques were playing a fancy game of telephone. Information that was lost or fabricated resulted in an incident but neither side knows which shot first because nobody realized the miscommunication started happening several generations ago.

    • cybersandwich@lemmy.world
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      3 days ago

      That’s not what I am envisioning at all. That would be absurd.

      Ironically, an gpt4o understood my post better than you :P

      " Overall, your perspective appreciates the real-world applications and benefits of AI while maintaining a critical eye on the surrounding hype and skepticism. You see AI as a transformative tool that, when used appropriately, can enhance both individual and organizational capabilities."

            • cybersandwich@lemmy.world
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              3 days ago

              Haha, yea I’m familiar with it(always heard it called the Barnum effect though it sounds like they are the same thing), but this isn’t a fortune cookie-esque, meyers-briggs response.

              In this case it actually summarized my post(I guess you could make the case that my post is an opinion that’s shared by many people–so forer-y in that sense), and to my other point, it didn’t misunderstand and tell me I was envisioning LLMs sending emails back and forth to each other.

              Either way, there is this general tenor of negativity on Lemmy about AI (usually conflated to mean just LLMs). I think it’s a little misplaced. People are lumping the tech I’m with the hype bros- Altman, Musk, etc. the tech is transformative and there are plenty of valuable uses for it. It can solve real problems now. It doesn’t need to be AGI to do that. It doesn’t need to be perfect to do that.

              • Grandwolf319@sh.itjust.works
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                3 days ago

                I read this comment chain and no? They are giving you actual criticism about the fundamental behaviour of the technology.

                The person basically explained the broken telephone game and how “summarizing” will always have data loss by definition, and you just responded with:

                In this case it actually summarized my post(I guess you could make the case that my post is an opinion that’s shared by many people–so forer-y in that sense)

                Just because you couldn’t notice the data loss doesn’t mean the principle isn’t true.

                Your basically saying translating something from English to Spanish and then back to English again is flawless cause it worked for some words for you.

                • cybersandwich@lemmy.world
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                  3 days ago

                  I’m not saying any thing you guys are saying that I’m saying. Wtf is happening. I never said anything about data loss. I never said I wanted people using LLMs to email each other. So this comment chain is a bunch of internet commenters making weird cherry picked, straw man arguments and misrepresenting or miscomprehending what I’m saying.

                  Legitimately, the llm grok’d the gist of my comment while you all are arguing against your own strawmen argument.

                  • Grandwolf319@sh.itjust.works
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                    3 days ago

                    I have it parse huge policy memos into things I actually might give a shit about.

                    I’ve used it to run though a bunch of semi-structured data on documents and pull relevant data. It’s not necessarily precise but it’s accurate enough for my use case.

                    Here are two cases from your original comment that would have data loss. I get you didn’t use the phrase “data loss” but that doesn’t mean your examples didn’t have that flaw.

                    Sorry if you view all this as lemmy being “anti ai”. For me, I’m a big fan of ML and what things like image recognition can do. I’m not a fan of LLMs becoming so overhyped that it basically gave the other ML use cases a bad name.