This is a real question though. One I've been asking since the early 00s. Learning means something different than it did in decades previous. Merely remembering easy to look up facts is not the slam dunk it used to be.
This is a real question though. One I've been asking since the early 00s. Learning means something different than it did in decades previous. Merely remembering easy to look up facts is not the slam dunk it used to be.
Imagine trying to speak without having this base of knowledge. Even if possible, you'd never be able to use the language in a comparable fashion. And I think this generalizes to basically everything in every domain. If you want to get good at chess, you need to study a ridiculously massive amount of tactics/patterns. If you want to get good at basketball, you need to simple practice dribbling and shooting a ball into a hoop for many thousands of hours, and so on.
The whole point of the memorization is to make it feel like it's not memorized. Like when you see these words, or come up with your own - it requires absolutely zero effort. There's nothing magical there. It's the exact same way that a master chess player can easily play a competent game of chess with 1 minute on their clock or while blindfolded.
If, and as, we start doing away with the rote, I'd expect we're going to see worse and worse outcomes. Arguably, this is already happening as Western education is continually 'rethought' while China rockets ahead of everybody with an education system that looks very much like a more centralized version of the US education system of 70 years ago.
Even if AI is very powerful, it is very obvious that someone actually knowledgable in a given domain can leverage AI more usefully than someone without that base of knowledge. And to be actually knowledgeable, as opposed to vaguely familiar with terms, takes significant effort over time. Luckily we have tools like spaced repetition that make that effort easier.
The last thing I'd add is that it's useful to know lots of things in various domains. Much like an LLM, our brains draw connections between disparate things which we know well, in the process of diffuse mode thinking.
It had its place in the 80s when looking up involved at least finding the right book. But that time was already on the way out in the 00s. My impression was more that education likes to ask for facts because they are easy to test for.
What you really want to teach are concepts and broad strokes. Nobody needs to know on which weekday the Soviet Union collapsed, but an understanding of the causes of the collapse is useful. Similarly, you don't need to know the speed of light to more than one digit of precision, but knowing the role of the speed of light as the speed at which information can travel through space is useful
That kind of knowledge also continues being useful in the age of AI. It allows you to see the connections in the world, and know which questions you even have to ask
I never sat down to memorise trivia about the Roman calendar, but I know Julius Caesar was assassinated on the 15th, the ides of March, because of repeated exposure while thinking things through.
It seems like old assessment techniques could luck in to testing comprehension, because the people who understood things would also remember them. This devolved into the recall being seen as the goal, instead of as proxy measure of something harder to test.
Any "concept" is composed of interrelated facts, all the way down.
> This is a real question though.
Is it? Why bother to learn how to add 2 numbers when you can just use a calculator.
> Learning means something different than it did in decades previous.
Not really. This is just the acquisition of a new tool. It can possibly be incorporated into education like how calculators were used in the 00s/90s, but you must know how to do the work without the tool.
The fun starts when you ask it more complicated questions like 'i have a device that communicates with microwaves and draws a maximum of 20mA at 12v, is it safe for use near humans?' It will look up microwave safety, ionizing and non-ionizing radiation, workplace exposure limits and eventually come up with 1/4W is already safe and the device likely is not a 100% efficient microwave transmitter.
Would you really raise your kids to not know how to add 2 numbers on their own?
I wouldn't even raise my kids to not know how to wash their clothes without a washing machine.
Wouldn't want them to be useless on their own, to be dependent on tools to take care of them.
It's fine to use tools to augment what you're able to do, but it'd be a kind of failure of their elders / of their environment to not teach them how to live on their own, independent, or at least dependent on as few things as possible. Tools aren't necessarily always going to be available in their lives. Having options for their life's necessities is good.
It also helps to know when the job's done well. Just because clothes come out of the washing machine doesn't necessarily mean they're clean.
If we're talking:
> Why bother learning to retain any information when AI knows everything and can recall it in a split second.
Kind of scary to think of adults that need AI to do their thinking for them, with the adults not knowing how to verify anything and just trust the output.
For every fact you learn there is a necessary context and numerous exceptions when it's applied in other contexts. If you expect AI to spit all relevant facts at you every time you're clueless, you will have no idea when AI is wrong or lying. You will have to trust everything AI (or its owner) tells you.
It's not just math either. Try to be an electrician without memorizing the basic principles of electricity and how they interact. You're going to have a bad time.
By induction we can see how this scales upwards, basically infinitely, to higher and higher levels of thinking.
> By induction...
Well played.
I mean yes, I have some "facts" in my memory because of repeated exposure. I know 2x2 and 5x5 but the whole table? Not a chance.
Of course, maybe I'm wrong. Maybe you DO need to use a calculator to quickly tell me what 8 * 6 is. But I would be highly surprised if you got a degree in math and still needed a calculator for that.
I of course know how to figure it out. Let's see my instinct might be to do 8x2 first because I do know most of the 2s. Then 16x3 I can do in a few steps of addition. 20+12+16 then 48
And yes then I checked on my calculator because I'm posting this online and don't want to look like an idiot.
AI can really help the outcome part (by just doing it for you), so for better or worse I see that delinkage continuing.
People who bother to actually learn while using AI will have an edge on those shovel slop, but there’s clearly a difference from previous eras.