I feel like I just stumbled upon a self projection loop.

That sounds like ot could be a focused lesson. Why try to skirt around what the desired goal is?

That also could be placed into detecting if something is wrong with AI too. Teach people things to just help spot these errors.

In my experience, it’s so much more effective to learn how to find the answers and spot the issues than to memorize how to do everything. There’s too much now to know it all yourself.

Just think, the same mistake could’ve happened the opposite way.

There was a period of time where I was too lazy to re-hook up my main PC to everything. I just hooked up my Steam Deck instead via a USB C hub.

It was then that I realized I don’t really use my main gaming PC anymore. I just play on the Steam Deck and almost everything else is just general use most of the time.

Since then, I found I still prefer to do some tinkering on a way the Steam Deck isn’t very good at, so I been thinking of selling off my PC and buying a capable laptop to have that extra ease as I found I don’t need the extra performance anymore.

Wasn’t that due to someone manually activating it because they thought there was an actual credible threat?

Might be misremembering though.

Wouldn’t it make more sense to find ways on how to utilize the tool of AI and set up criteria that would incorporate the use of it?

There could still be classes / lectures that cover the more classical methods, but I remember being told “you won’t have a calculator in your pocket”.

My point use, they should prepping students for the skills to succeed with the tools they will have available and then give them the education to cover the gaps that AI can’t solve. For example, you basically need to review what the AI outputs for accuracy. So maybe a focus on reviewing output and better prompting techniques? Training on how to spot inaccuracies? Spotting possible bias in the system which is skewed by training data?