• R0cket_M00se@lemmy.world
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    1 year ago

    It’s %100 a fad and has limited applications. It’s really cool tech and I have used it, but it’s not something that’s going to replace many people.

    You are you trying to convince? Lol the more I hear this the more it seems like projection. You say it to comfort yourself because you’re not certain that it will but you want it to be true.

    The more it gets integrated into the ecosystems that enterprise corporations use the more it will replace people. Our Data Automation engineers are currently training an in house model on company data so you can ask if for anything from the accounting spreadsheets to when the next holiday is (accounting for ACLs of course, can have accounts receivable getting access to accounts payable.)

    If you genuinely think it’s a fad you most likely don’t work in an industry where it has an application or use-case, yet.

    I don’t know where you’re getting this information that it’s dying out because that’s just objectively untrue. Microsoft is probably pricing out AI model Saas E5 licensing as we speak, Bing chat just got an upgrade with Enterprise Tenants recently that supposedly safeguards your company data, this shit is not going anywhere no matter what lies you’re telling yourself. It’s not replacing human oversight anytime soon but it absolutely will reduce the amount of humans behind screens at virtually every company in the next decade.

    Meanwhile new jobs will open up in AI specific integration as it inevitably becomes too much for Cloud and Data engineers to handle.

    “siLlY gOoGle, iTs tHe nEXt cRyPtO” just shows how little you know about it. Probably because you work in a completely unrelated industry and get your information from websites that tell you what you want to hear. Meanwhile your attempt at using AI probably amounts to breaking it’s moral safety locks and then running out of ideas. If you worked in a field that AI is being used for, and know enough to lean on its ability to work through large data sets quickly while doing simple QA work to verify its information (which takes vastly less time than searching through all the data yourself) I guarantee you that you’d find it incredibly useful.