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This reminds me of the story of how the USSR nearly made whales extinct to meet a quota for whale meat that nobody wanted to eat.
There's definitely some pressure from managers when they hear about N00% productivity boosts in internal presentations, but where I am at they would figure out if you were making up tasks rather than working pretty quickly and the pressure comes from aggressive deadlines and a shift from the yearly OP1 process to a more agile one.
One person I've talked to has someone in their org who is running GasTown and chews through tokens 24/7. They don't contribute very much, but they're comfortably in the #1 spot.
I've done similar at my job where management wants us to use all of our tokens before they expire. I usually set it to documentation tasks and other minor tasks just to eat up tokens.
There's really no end to dot-language diagrams you can have it make. Call graphs, package dependency maps, let it try to figure out an architecture diagram, whatever.
Like six months ago we got a presentation from an AWS guy on the AI tooling available and how it fit with our particular use cases. At one point seemingly out of nowhere he pointed out on his screen share "Look at how many tokens I've used this month. I run so much Opus." It was a number that was offensively large. I remember thinking "That's a really odd flex, this crap is so expensive the fact that you use so much…
I notice a lot of Cursor's suggestions are just stuff a linter should auto-fix. But if you hit "tab" it'll claim that as an AI-edited line, LOL. (A lot of the rest of it is stuff I could already have been doing just as fast if I'd ever bothered to learn to use multiple cursors, learned vim navigation, or set up some macros—I never did because my getting-code-on-the-screen speed without those has never been slow enoug…
Lots of people reporting their "I had to use up my tokens, so I burned them on worthless stuff" stories. Incredible thing to do in a climate emergency. Push harder guys, maybe we can hit 3C warming? This reminds me of the story of how the USSR nearly made whales extinct to meet a quota for whale meat that nobody wanted to eat.
Burn resources at all costs to appear productive and use proxy metrics to measure success.
Fire productive employees to ensure we have resources to fund the proxy metrics.
AI slop fool’s gold is the product.