Thread

1. lordnacho · 1790070279 · focus · HN ↗

   AI is my default for just about any search now. From today:

   How did Cantor come up with his diagonal proof? It seems to have been dreamed out of nowhere

   Why are there advertisements for a shampoo containing caffeine? Does caffeine do something useful other than when you drink it?

   What happens in sense and sensibility?

   All of them give a decent answer, with the ability to ask follow ups. Eg, how does S&S compare with Pride and Prejudice? What about more recent novels connecting romantic choices with economic choices?

   All of them give you links to source material, in case you suspect they are just making it up.

   At the start of the millennium, Google search changed everything about how I look for information. Now it seems outdated.

   1. yoavm · 1790072546 · focus · HN ↗

      It's interesting — "knowing how to search" used to be a skill. One wouldn't search for "How did Cantor come up with his diagonal proof?", but rather "cantor diagonal proof origin". You would see "normies" searching and wanted to bang your head against the wall seeing them searching like they're talking.

      But seems like they won? Why know how to search when you can simply ask your question. You can even tyipe it layke dat and it would still work.

      1. mrngld · 1790076512 · focus · HN ↗

         Nothing has changed, though. In my office the ones that have really boosted productivity are the ones putting in the effort to craft solid prompts and understand when to move that slider on reasoning effort and model selection. Or understand and put thought into how to leverage the tool, like project folders with the context to all or part of your job the model can reference. Everyone else throws a lazy prompt at the default 'instant' model, gets a crap response and then they give up.

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