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David Gerard@awful.systemsM to TechTakes@awful.systemsEnglish · 11 months ago

AI coders think they’re 20% faster — but they’re actually 19% slower

pivot-to-ai.com

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AI coders think they’re 20% faster — but they’re actually 19% slower

pivot-to-ai.com

David Gerard@awful.systemsM to TechTakes@awful.systemsEnglish · 11 months ago
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Model Evaluation and Threat Research is an AI research charity that looks into the threat of AI agents! That sounds a bit AI doomsday cult, and they take funding from the AI doomsday cult organisat…

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  • Charlie Stross@wandering.shop
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    11 months ago

    @dgerard What fascinates me is *why* coders who use LLMs think they’re more productive. Is the complexity of their prompt interaction misleading them as to how effective the outputs it results in are? Or something else?

    • HedyL@awful.systems
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      11 months ago

      What fascinates me is why coders who use LLMs think they’re more productive.

      As @dgerard@awful.systems wrote, LLM usage has been compared to gambling addiction: https://pivot-to-ai.com/2025/06/05/generative-ai-runs-on-gambling-addiction-just-one-more-prompt-bro/

      I wonder to what extent this might explain this phenomenon. Many gambling addicts aren’t fully aware of their losses, either, I guess.

      • Saledovil@sh.itjust.works
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        11 months ago

        The reward mechanism in the brain is triggered when you bet. I think it also triggers a second time when you do win, but I’m not sure. So, yeah, sometimes the LLM spits out something good, and your brain rewards you already when you ask it. Hence, you probably do feel better, because you constantly get hits dopamine.

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