Hello, recent Reddit convert here and I’m loving it. You even inspired me to figure out how to fully dump Windows and install LineageOS.

One thing I can’t understand is the level of acrimony toward LLMs. I see things like “stochastic parrot”, “glorified autocomplete”, etc. If you need an example, the comments section for the post on Apple saying LLMs don’t reason is a doozy of angry people: https://infosec.pub/post/29574988

While I didn’t expect a community of vibecoders, I am genuinely curious about why LLMs strike such an emotional response with this crowd. It’s a tool that has gone from interesting (GPT3) to terrifying (Veo 3) in a few years and I am personally concerned about many of the safety/control issues in the future.

So I ask: what is the real reason this is such an emotional topic for you in particular? My personal guess is that the claims about replacing software engineers is the biggest issue, but help me understand.

  • Saleh@feddit.orgEnglish
    0·
    19 hours ago

    I recently had an online event about using “AI” in my industry, construction.

    The presentor finished on “Now is no the time to wait, but to get doing, lest you want to stay behind”.

    She gave examples of some companies she found that promised to help with “AI” in the process of designing constructions. When i asked her, if any of these companies are willing to take the legal risk that the designs are up to code and actually sound from an engineering perspective, she had to deny.

    This sums it up for me. You get sold a hype by people who dont understand (or dont tell) what it is and isnt to managers who dont understand what it is and isnt over the heads of people who actually understand what it is or at least what it needs to be to be relevant. And these last people then get laid off or f*ed over in other ways as they have twice the work than before because now first they need to show to management why the “AI” result is criminal and then do all the regular design work anyways.

    It is the same toxid dynamic like with any tech bro hype before. Just now it seems to look good at first and is more difficult to show why it is not.

    This is especially dangerous when it comes to engineering.