Aside from blindly copying and pasting a response, in which case the learner wasn’t interested in learning and probably would have plagiarized from somewhere else anyway, I have found LLM to be an incredible, endlessly patient teacher that I’m never afraid to ask a question of.
My kids who are in the tween and teenage years, are incredibly skeptical and dismissive of AI. They regard AI art as taking away creative initiative from artists and treat LLM similar to the way we treated Google growing up, if they use them at all. It’s a tool which can be helpful for answering questions that is part of the landscape of their knowledge building.
That knowledge acquisition includes school, YouTube and other short videos, their peers (online and off) Internet searches, and asking AI. Generally, I regard asking AI as one of the least problematic sources of info in that environment.
While I tend to be optimistic as a default, I truly do think that the ability to become less ignorant by asking questions is a net positive for humanity.
The only thing I truly lean on AI for right now is as an editor, helping me turn my detailed bullet points into decently crafted prose, and for generating clear and concise transcripts and takeaways from long meetings. To me that doesn’t seem like the downfall of human knowledge.
- Socrates (written down by Plato)
It's also the tendency towards the "precautionary principal" AKA Nietzschian "last-man" style thinking applied to the world infinitely.
We should root this kind of thinking out aggressively, at least from the academy.
Update: I meant to compare calculators to something like a slide ruler for logarithms. I'm not from US and I tend to forget that some people use calculators to take 20% of 500.
I got an engineering degree and don't remember ever being required to do math without a calculator. Of course, some things are easier if you don't need to bust out a calculator for everything.
This is the author's lament. These students are skipping over personal mastery.
With a calculator, the end result is still the same: a (typically numerical) answer of some kind. Writing one's own essay vs. getting an LLM to regurgitate it results in vastly different outcomes.
I'm glad that we have calculators and computing devices, but I'm not glad that they have made teens with basic numeracy into an endangered species. Many tools we use expand our understanding, but the calculator causes our arithmetic skills to atrophy.
The point is, one is hard pressed to find anyone who can do much arithmetic-- even trivial things.
But, if symbolic manipulation is done by hand and then numbers just plopped in to get final result and estimation if answer is realistic enough. Well I think that is fair enough.
And spreadsheets are also useful when you need to add up bunch of things or multiply them.
LLMs are different.
A closer analogy would be something like computer algebra systems, especially integration. We can offload differentiation cheaply, immediately, and perfectly, but integration will frequently have a "unable to evaluate" result. I genuinely wonder whether integral-requiring-workers are better or worse at it as a result of growing up with CAS tools. People on the periphery (a biologist, for example) are undoubtably better off since they get answers they couldn't get before, but people on the interior (maybe a physicist) might be worse at some things they wish they could do better, relative to those who came up without those tools.
Fact is, even if they are capable of fully replicating and even replacing actual human thought, at best they regurgitate what has come before. They are, effectively, a tutor (as another commentator pointed out).
A human still needs to consume their output and act on it intelligently. We already do this, except with other tools/mechanisms (i.e. other humans). Nothing really changes here...
I personally still don't see the actual value of LLMs being realized vs their cost to build anytime soon. I'll be shocked if any of this AI investment pays off beyond some minor curiosities - in ten years we're going to look back at this period in the same way we look at cryptocurrency now - a waste of resources.
What changes is the educational history of those humans. It's like how the world is getting obese. On average, we have areas we empirically don't choose our own long term over our short term. Apparently homework is one of those things, according to teachers like in TFA. Instead of doing their own homework, they're having their "tutor" do their homework.
Hopefully the impact of this will be like the impact of calculators, but I also fear that the impact will be like having tutors do your homework and take your tests until you hit a certain grade and suddenly the tools you're reliant on don't work, but you don't have practice doing things any other way.
Perpetuating a broken system isn't an argument about the threat of AI. It's just highlighting a system that needs revitalization (and AI/LLMs is not that tool).
I keep seeing this repeated, but it seems people either take it as being self evident or have a false assumption about how transformers work.