AI can help you learn software in real time

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Heh. My experience with Gemini is that it is wildly variable in accuracy.

And… where exactly does the person who made that video think that Gemini is getting its information?

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I cannot disagree with you there. I was working on some Excel macros and had to tweak them to make them work after the AI came back with its results.

I find that you have to be very specific how you word your request or else it’s a crap shoot on the results.

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Yeah, I’ve had some spot-on great answers, and some where I knew it was wrong and it would just go in a circle between three wrong answers. I’m not afraid of it taking over for me any time soon. :slightly_smiling_face:

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That’s the fundamental question, and why the provenance of training information needs to be front-and-center of any discussion of the LLMs which are being passed off as “AI”.

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I have found that they can be helpful in a domain you know well. As in, having it give you the skeleton code for something that you then can tweak to make it actually work. It can sometimes be faster than writing it from scratch. Bugs? You bet. But just avoid trusting it completely and it can still be a time saver.

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The thing is, it only works for a domain where someone has already written similar code/attempted to solve the problem in question — for example, my current project of creating a Python program which functions in the newly forked OpenPythonSCAD to model G-code didn’t seem to have an exemplar, so AI failed miserably when asked about it.

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I have been using it regularly:

  • Instead of a routine search
  • Write Arduino functions [some tweaks are necessary]
  • Calculate heat sink sizes
  • Calculate a flat pattern for a cone
  • Calculate circuit & PCB values
  • Design a logo
  • Write poems and create puns

I have learned:

  • The structure of the “prompt” is the key to getting an accurate and useful response
  • You can challenge the model’s output to see if it is confident in the answer
  • It sucks at fractions
  • Poems and puns are fun

I am amazed by what Notebook LM can do…

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Very much correct, it needs to have examples and things it had consumed in order to respond with something close. But if that data isn’t all accurate then guess what you’ll get in return?

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I think this best explains the fallacies of AI.

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