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39 sats \ 0 replies \ @optimism 8h

Welcome to a real workweek, zoomers 🤣

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19 sats \ 0 replies \ @freetx 4h

Part of the problem is we haven't figured out the correct ways to use AT in our workflows yet. The promise of a big green button that says "DO ALL MY WORK" were lies...

There is real utility, but its much more surgical: Writing boilerplate for a development architecture is useful, summarizing complex information, chatting with docs, etc are all useful but they all require and active and involved human driver leading it

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17 sats \ 0 replies \ @SHA256man 8h
"I'd been outsourcing my first-draft thinking to AI for so long that my ability to think from scratch had degraded."

the greatest danger of AI is that people give up their imagination, forego working hard, and train up their kids to do the same;

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AI works when it reduces my own analysis of grunt data managing from 4 hours to 4 minutes. AI does not work when it replaces my entire job at someone else's benefit.

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0 sats \ 0 replies \ @yegard 7h

This really clicked for me , AI can save you time, but it doesn't always save you energy. You end up juggling more tasks and spending way too much effort just checking and deciding. The key isn't just using more AI, it’s setting limits and knowing when to stop, so faster doesn't simply turn into never done.

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The reason is simple once you see it, but it took me months to figure out. When each task takes less time, you don't do fewer tasks. You do more tasks. Your capacity appears to expand, so the work expands to fill it. And then some. Your manager sees you shipping faster, so the expectations adjust. You see yourself shipping faster, so your own expectations adjust. The baseline moves.

Starting to collect more examples of (capital) "intensification"! Look at that

#1426621

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