• snooggums@lemmy.world
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      4 months ago

      Google used to return helpful results that answered questions without needing to be corrected before it started returning AI slop. So maybe that is true now, but only because the search results are the same AI slop as the AI.

      For example, results in stack overflow generally include some discussion about why a solution addressed the issue that provided extra context for why you might use it or do something else instead. AI slop just returns a result which may or may not be correct but it will be presented as a solution without any context.

      • Flax@feddit.uk
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        4 months ago

        Stack overflow resulted in people with highly specialised examples that wouldn’t suit your application. It’s easier to just ask an AI to write a simple loop for you whenever you forget a bit of syntax

        • Feyd@programming.dev
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          4 months ago

          Man i remember eclipse doing code completion for for loops and other common snippets in like 2005. LLM riders don’t even seem to know what tools have been in use for decades and think using an LLM for these things is somehow revolutionary.

          • self@awful.systems
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            4 months ago

            the promptfondlers that make their way into our threads sometimes try to brag about how the LLM is the only way to do basic editor tasks, like wrapping symbols in brackets or diffing logs. it’s incredible every time

              • froztbyte@awful.systems
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                4 months ago

                yep, I came up with promptfans (as a reference for describing all the weirdos who do free PR and hype work for this shit), and then @skillsissuer came up with promptfondlers for describing those that do this kind of bullshit

                (and promptfuckers has become to collective noun I think of for all of them)

                • scruiser@awful.systems
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                  4 months ago

                  I like promptfarmers for the LLM companies and developers. It reflects there attitude of passively hoping that letting their model grow in scale will bring in some future harvest of money.