• @Treczoks@lemm.ee
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    191 year ago

    One key point here is: While you actually can replace a bunch of junior developers with AI in some places, any replaced junior developer will never become a senior developer that cannot be replaced by the AI because he/she is basically experince on two legs.

    So, corporations, don’t complain about the lack of experienced, senior personnal because YOU have been the main reason they don’t exist.

  • @space@lemmy.dbzer0.com
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    491 year ago

    With all the recent hype around AI, I feel that a lot of people don’t understand how it works and how it is useful. AI is useful at solving certain types of problems that are really difficult using traditional programming, like finding patterns that aren’t obvious to us.

    For example, object recognition is about finding patterns in images. Our brains are great at this, but writing a computer program capable of taking pixels and figuring out if the pattern is there is very hard.

    Even if AI is sometimes going to misclassify objects, it can still be useful. For example, in a factory you can use AI to find defects in the production line. Even if you don’t get it perfect, going from 100 defects per 1M products to 10 per million is a huge difference and saves the factory a lot of money.

    • @LarmyOfLone@lemm.ee
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      21 year ago

      Most useful application so far seems to have been to predict protein folding. Have to check up on that, it should allow to cure all sorts of bad things.

    • @CodeMonkey@programming.dev
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      51 year ago

      But a floating point issue is the exact type of issue a LLM would make (it does not understand what a floating point number is and why you should treat them differently). To be fair, a junior developer would make the same type of mistake.

      A junior developer is, hopefully, being mentored by more senior coworkers who are extra careful with code reviews and would spot the bug for the dev. Machine generated code needs an even higher level of scrutiny.

      It is relatively easy to teach a junior developer to write code that is easy to read and conforms to the teams style guide.

  • TWeaK
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    21 year ago

    I feel this in AutoCAD (lack of) precision.

    • Gaia [She/Her]
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      11 year ago

      Yeah I don’t really get this, you can come to deterministic mathematic conclusions with ML, it just requires different structuring of the problem. While area of a rectangle may not need optimization, there are many such places that do, like file compression, which requires perfectly accurate results.

    • @xor@infosec.pub
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      11 year ago

      that’s because you’re commenting on things you don’t understand in a sub not meant for you

      • Gnome Kat
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        1 year ago

        How is this sub not meant for me? lmao followed me from the other thread, cringe

        • @xor@infosec.pub
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          11 year ago

          it’s for programmers, which you’re obviously not if you think this makes no sense…
          and guess what, troll, that’s why you have a public comment history…
          it’s a primary function… which i used, as intended, to see how much of a troll you are…

  • Overzeetop
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    71 year ago

    You could say the same for a finite element model. A junior engineer with just 4 years of training can solve, explicitly, the deflection at the center of a slender, simple-simple beam of prismatic section and produce an exact (if slightly incorrect) answer. Building a FEM of the same can solve the problem and take longer (to make the model) with similar accuracy, both of which are good enough for design work.

    Only a fool wouldn’t have a FEM around though, as it can solve problem that would take centuries for a human to solve. They may as well make a cartoon with the child digging a 3” hole in beach sand and then showing a backhoe making a jagged edged hole of the same size.