• Overzeetop@beehaw.org
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    5 months ago

    The future is already here. This will sound like some old man yelling at clouds, but the tools available for advanced structural design (automatic environmental loading, finite element modeling) are used by young engineers as magical black boxes which spit out answers. That’s little different than 30 years ago when the generation before me would complain that calculators, unlike sliderules, were so disconnected from the problem that you could put in two numbers, hit the wrong operation, and get a non-sensical answer but believe it to be correct because the calculator told you so.

    This evolution is no different, it’s just that the process of design (wither programming or structures or medical evaluation) will be further along before someone realizes that everything that’s being offered is utter shit. I’m actually excited about the prospect of AI/ML, but it still needs to be handled like a tool. Modern machinery can do amazing things faster, and with higher precision, than hand tools - but when things go sideways they can also destroy things much quicker and with far greater damage.

    • jarfil@beehaw.org
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      5 months ago

      old man yelling at clouds

      My turn.

      Almost 30 years ago, in sunny Spain, a friend of mine was studying to become an Electrical Engineer. Among the things he told me would be under his responsibility, would be approving the plans for industrial buildings. “So your curriculum includes some architecture?”, I asked. “No need”, he responded, “you just put the numbers into a program and it spits out all that’s needed”.

      Fast forward to 2006, when an industrial hall in Poland, built by a Spanish company, and turned into a disco, succumbed under the weight of snow on its roof, killing 65 people.

      Wonder if someone forgot to check the “it snows in winter” option… 🙄

    • noxfriend@beehaw.org
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      5 months ago

      The difference is that calculators are deterministic and correct. If you get a wrong answer, it is you that made the mistake.

      LLMs will frequently output nonsense answers. If you get a wrong answer, it is probably the machine that made the mistake.