3 ms·

Thanks for your comment, I think this is actually very helpful framing! It at least gives me something more tangible to think about—“micro tasks”.

• mos_basik 4y ago
  I, too, have been experimenting a bit to see if/how an LLM might help me. This microtask framing jives with my experience. One of the best examples so far for me (and it's truly micro) was at grocery store. Friend trying to figure out how big of a rice bag to get and avoid not finishing it before a long trip coming up. She knew she ate a couple of cups dry a week. "I eat 2 cups dry rice per week. Can I finish a 25lb bag in less than 4 months?" "Yes" (it did show its work). One shot, perfect response. I know this kind of computational thing is what WolframAlpha was for, but that wasn't nearly as reliable. I know I could figure it out myself, but I'd need to find a reasonable figure for the density of rice and probably do some imperial metric conversions and generally futz around for longer than one would want to stand in front of a pallet of rice bags.
  • jacquesm 4y ago
    50 cups of rice in a 25 lb bag, 4 months = 16 weeks = 32 cups at 2 cups / week. I think there will be some rice left. Maybe this is one of those examples where this tool gives a confident and wrong answer even when it shows its homework?
    • pixl97 4y ago
      Honestly this sounds more like a place for GPT/Wolfram API than just LLM alone.
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  • JohnFen 4y ago
    Really? You're using ChatGPT to do basic math you could easily do in your head?