To be honest, I think we’re losing credibility. I don’t know what else to put in the description.

    • Mugita Sokio@lemmy.today
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      2 hours ago

      It’s the requirement nowadays. The anti-AI crowd clearly don’t like that AI does a better job at not being biased than those who use AI.

    • Otter@lemmy.ca
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      1 day ago

      Seems like the key word in the post was “mass implementation”

      It’s useful in some contexts while being hot garbage in others. Learning to use it for what it’s good at is fine, trying to shoehorn it into everything is stupid.

      Same as relying on it for everything. That’s not adapting, that’s being easily replaceable

      • BigBolillo@mgtowlemmy.org
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        1 day ago

        Everything is in constant change, nothing is assured, you must adapt or die like in nature, if you don’t then you will be replaced faster.

          • BigBolillo@mgtowlemmy.org
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            23 hours ago

            Is a metaphor, it means you should learn how to use it to your benefit instead of trying to change something you can’t change, work with what you have, if you are good enough you can manage to not be replaced by it too soon, eventually everyone will be replaced in the meanwhile work to retire ASAP if you need to use it to do it then adapt or die.

            That’s my point.

            • Otter@lemmy.ca
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              23 hours ago

              Well yeah, what I said was

              It’s useful in some contexts while being hot garbage in others. Learning to use it for what it’s good at is fine, trying to shoehorn it into everything is stupid.

              Same as relying on it for everything. That’s not adapting, that’s being easily replaceable.

              Use it for the few things it’s good at, and ignore their false promises on the rest.

              This post was about tech companies trying to shove LLM based “AI” into everything. I’m looking forward to when investors move on from this one specific type of algorithm and we can get back to innovating properly.