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Discussion (37 Comments)Read Original on HackerNews
That raises a pretty serious question about regulating AI usage in education, and it’s surprising how little attention that discussion still gets.
Also, speaking for academia, AI is basically all we talk about now when it comes to curriculum and instruction. That's not to say that we only rely on AI, or something like that, but we talk a lot about how to get basically anything done now. It's the biggest learning experience we've ever had as instructors, and I suspect we'll be trying to figure it out for a long time to come.
Lol, that's already a lazy take.
Not getting teachers in trouble when they can clearly tell their students are submitting AI essays.
But we're still just letting kids use their phone in class, and our lawmakers are just learning what Facebook is. AI is going to "happen" to us, we are not serious enough to discuss it.
For people that have been programming for 20 years, AI is not an issue, on the contrary, it can work for you as you become older. They have trained enough.
For young people, it can destroy them if they stop practicing hours every day, outsourcing all their work to the ai, as they will start losing contact with the reality they are controlling.
But that depends on the personality of people. One of the best uses of LLMs is creating trainers for practicing what you need. For example, I have created programs for practicing my Japanese and Mandarin pronunciation, for practicing chords and note recognition with MIDI, and playing of sheet music, practicing IPA, my handwriting...
Usually I buy some software that does more or less what I want, but them I realise that I need a specific feature the software does not have. So I create the trainer for personalization.
It will be impossible for me to do that without LLMs. There is no time in 5 lifetimes to do that by hand.
In one way it was sycophantic, frequently saying how "sharp" my ideas were, but I just reminded myself to discount that. In other ways it pushed back. If the math didn't work out to the conclusions I expected, it pointed that out. It was like working with a reasonably smart, extremely productive, but less creative coworker.
I don't think it made me lazier, because it was intense and exhausting. But I learned a lot.
Now it’s easy to just kick back and scroll a phone and not think too deep or work too hard on anything. You don’t learn. This is the default state, and it’s not human, it’s just being a living vegetable, that other people squeeze for money. And the squeeze gets tighter and tighter with time because you become increasingly worthless, until one day even the juice is no longer worth the squeeze so you’re left to rot.
Did advanced machining operators who used to perform all machine setup and operation in an analog way themselves become lazy and dumb when (computer) numerical control took over? Are modern machinists dumb? Or are they just smart in a different domain now that the positioning is actually taken care of? Does showing that the machinists don't want to, and would chose to skip physically positioning of the machine tools every step of the way, mean they are lazy?
It's like asking people to dig a hole and giving some of them a shovel and asking others to do it with their hands. Or asking them to go to a location a half mile away with a bike and then taking it away the nex time. They're not going to be real enthused after experiencing mechanical advantage.
Anyone that thinks that using AI for just 10 minutes has a real and lasting effect on intelligence might need to go back and do a little more training of theirs. Significantly more than 10 minutes of training, because 10 minutes will do nothing.
The more tech we invent and use, the dumber and lazier we get.
AI chatbots do not have agency, they are not actively trying to take over your thinking. People can prompt them to do their thinking for them, or they can prompt to get examples and help with understanding.