• M0oP0o@mander.xyz
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    1 day ago

    All of that is just not true, literally all of that huge wall of text. From the odd takes on somehow saying there is and is not examples of LLMs used in call centers that are complete shit (my example would be just to point to any AI agent call I have had to do in the last year) to the clear non understanding of how the speed of diction could be an issue shows that the wall of text you put up has zero substance. Almost as if wrote by chat GPT or the likes. The same issues in a call center for hotdog packaging and 911 will exist and saying “smart people” will handle one better then the other is one of if not the stupidest things I have seen in print.

    Your odd hubris is why the world is going to shit. You are the direct reason why we live in interesting times.

    • percent@infosec.pub
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      23 hours ago

      All of that is just not true, literally all of that

      Incorrect. For example, you really can’t go solve the 911 dispatcher shortage by getting more 911 dispatchers from the 911 dispatcher store, and I stand by that. If you can prove this wrong, please do.

      huge wall of text

      Apologies for replying to each of your points due to respecting you enough to assume you’re a worthwhile human instead of writing you off as a waste of time. It seems to have frustrated you to some degree…

      I’m gonna do it again though.

      From the odd takes on somehow saying there is and is not examples of LLMs used in call centers that are complete shit

      Where did I say there are no shitty LLM implementations in call centers? I doubt you’ll answer this (you don’t seem to like backing up your claims), but I really am curious. That would not be consistent with my experience with call center LLM implementations at all. I don’t think I’ve ever had a good experience with them.

      My shitty little self-hosted smarthome assistant that I slapped together outperforms most of them, and it’s an old, half-assed, neglected side project 😆. (Not much of an achievement when it only has to serve one user though.)

      (my example would be just to point to any AI agent call I have had to do in the last year)

      Was it a 911 triage agent? If not, then there’s not much of a comparison here. Very different implementations to serve very different purposes. A 911 triage agent should be designed for much simpler, narrower goals than some customer service agent.

      to the clear non understanding of how the speed of diction could be an issue

      If you’d like to explain it, I’m open to it.

      the wall of text you put up has zero substance.

      Speaking of that, I noticed that you haven’t answered a single one of the questions related to the substance of your last comment. I’m just curious – Can you? Surely there must be some substance behind your words if that’s something you value, yes?

      The same issues in a call center for hotdog packaging and 911 will exist

      will exist”? Future tense? Was this meant to sound so speculative?

      New Orleans is not the first city to adopt this 911 triage system. Why speculate when we already have the past and present?

      If it helps, I can even point you to a spicy one as head start: If you go far back enough, you’ll find a death in Seattle related to an old LLM implementation in a 911 call center… or something like that. (It has been a while since I read it)

      Your odd hubris

      Ironic ;)

      You are the direct reason why we live in interesting times.

      Thanks, but I’m just a guy writing comments on the same network that you’re writing comments on. I may have worked on some AI tools, but nothing public-facing, and nothing really exciting. I’m mostly just a consumer of these “interesting times”… Maybe an indirect reason at best. Not more than a drop in the ocean.