"Organizations aren’t burning millions or hundreds of millions of dollars a year on AI because it’s good, they’re doing it because they are run by people who do not know what the fuck they’re doing. Generative AI is catnip for hall monitors, snitches, toadies, and any other group that hates work and loves talking down to others. Put another way, it ingratiates losers who believe that learning to do or being good at something is a waste of time, because they deserve to just do what they want without any of that messy “effort.” While I’m not saying every LLM user is an imbecile, they’re built to convince the mediocre and incurious that they’re remarkable, and it turns out that a great many of them run venture capital firms and Fortune 500 companies.I also want to be clear that while there are sane and normal people who use these things, they’re mostly drowned out by a crowd of people that oscillate between bootlicking and regurgitating capitalist mythology in a way that makes it hard to trust anybody who spends significant amounts of time using an LLM. One thing you’ll notice about the most moistened AI boosters is that they lack much degree of pride in their work. Everything they say must, at some point, compliment the mindless, unprofitable, unreliable tool underneath it — how “incredibly powerful” it is, how it’s “only getting better,” how it’s “only the beginning” of something that’s eaten over a trillion dollars and absorbed the majority of venture capital."wheresyoured.at/the-revenge-of#AI #GenerativeAI #LLMs #AIBullshit #AIBubble #AIHype #Programming #SoftwareDevelopment

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[–] 1 point 5 months ago (1 child)

@remixtures I can't speak for big corporations, but at the very small biotech where I worked until I retired last year, nearly every manager, PhD , and engineer found that LLMS were extremely powerful and extremely useful toolswe had NO policy on LLM use, and people just starting using them naturally, in their day to day work without any promptingso i would say your post is pretty much BS

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  • [–] [S] 1 point 5 months ago

    @failedLyndonLaRouchite 1) This is not my post. I'm just sharing a post authored by Ed Zitron. 2) In my own personal experience as a technical writer, LLMs are getting more useful but they do still demand a lot of time being their nanny. They lack memory, they lack tacit knowledge, they hallucinate a lot - specially Gemini models -, and they can create more problems than solve issues if there's not a human conductor behind the scenes, making sure that everything goes along the wheels. 3) The evolution of LLMs seems to be plateauing. The level of growth from version to version is becoming less signficant over the time.

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