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Back to Timeline !technology @Scubus__dup_13011
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@AutistoMephisto@lemmy.world on lemmy.world Open parent
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@edgemaster72@lemmy.world on lemmy.world Open parent
Not immediate failure—that’s the trap. Initial metrics look great. You ship faster. You feel productive. And all they’ll hear is “not failure, metrics great, ship faster, productive” and go against your advice because who cares about three months later, that’s next quarter, line must go up now. I also found this bit funny: I forced myself to use Claude Code exclusively to build a product. Three months. Not a single line of code written by me… I was proud of what I’d created. Well you didn’t create it, you said so yourself, not sure why you’d be proud, it’s almost like the conclusion should’ve been blindingly obvious right there.
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@AutistoMephisto@lemmy.world on lemmy.world Open parent
The top comment on the article points that out. It’s an example of a far older phenomenon: Once you automate something, the corresponding skill set and experience atrophy. It’s a problem that predates LLMs by quite a bit. If the only experience gained is with the automated system, the skills are never acquired. I’ll have to find it but there’s a story about a modern fighter jet pilot not being able to handle a WWII era Lancaster bomber. They don’t know how to do the stuff that modern warplanes do automatically.
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@ctrl_alt_esc@lemmy.ml on lemmy.ml Open parent
I agree with you, though proponents will tell you that’s by design. Supposedly, it’s like with high-level languages. You don’t need to know the actual instructions in assembly anymore to write a program with them. I think the difference is that high-level language instructions are still (mostly) deterministic, while an LLM prompt certaily isn’t.
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Scubus__dup_13011 in !technology
@Scubus__dup_13011@sh.itjust.works · Dec 07
Yep, thats the key issue that so many people fail to understand. They want AI to be deterministic but it simply isnt. Its like expecting a human to get the right answer to any possible question, its just not going to happen. The only thing we can do is bring error rates with ai lower than a human doing the same task, and it will be at that point that the ai becomes useful. But even at that point there will always be the alignment issue and nondeterminism, meaning ai will never behave exactly the way we want or expect it to.
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