Comment on I Went All-In on AI. The MIT Study Is Right.

Rhoeri@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

• nullroot@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

  Wait so I should just be manually folding all these proteins?

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  • Rhoeri@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

    Do you not know the difference between an automated process and machine learning?

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    • nullroot@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

      Yes? Machine learning has been huge for protein folding and not because anyone is stupid, it’s because it’s a task uniquely suited for machine learning, of which there are many. But none of that is what this AI bubble is really about, and even though I find the underlining math and technology fascinating, I share the disdain for how the bulk of it is currently being used.

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    • 5gruel@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

      The thing with being cocky is, if you are wrong it makes you look like an even bigger asshole

      en.wikipedia.org/wiki/AlphaFold

      The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution.

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      • Rhoeri@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

        Cool, now do an environmental impact on it.

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• jbloggs777@discuss.tchncs.de ⁨4⁩ ⁨weeks⁩ ago

  While this is a popular sentiment, it is not true, nor will it ever be true.

  AI (LLMs & agents in the coding context, in this case) can serve as both a tool and a crutch. Those who learn to master the tools will gain benefit from them, without detracting from their own skill. Those who use them as a crutch will lose (or never gain) their own skills.

  Some skills will in turn become irrelevent in day-to-day life (as is always the case with new tech), and we will adapt in turn.

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  • Rhoeri@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

    LLMs exist so that skill-less hacks can pretend to be skilled artists. It’s a shortcut to success.

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    • jbloggs777@discuss.tchncs.de ⁨4⁩ ⁨weeks⁩ ago

      That this is and will be abused is not in question. :-P

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