Yeah, my main point with all those examples was to put the point that “AI” always has been a marketing term.
Curve-fitting and data-point clustering are both pretty efficient if used for the thing they are made for.
But if you then start brute-forcing multiple nodes of the same thing just to get a semblance of something else, that is otherwise not what it is made for, of course you will end up using a lot of energy.
We humans have it pretty hard. Our brain is pretty illogical. We then generate multiple layers of abstractions make a world view, trying to match the world we live in. Over those multiple layers, comes a semblance of logic.
Then we make machine.
We make machines to be inherently logical and that makes it better at logical operations than us humans. Hence calculators.
Now someone comes and says - let’s make an abstraction layer on top of the machine to represent illogical behaviour (kinda like our brains).
(┛｀Д´)┛彡┻━┻
And then on top of that, they want that illogical abstract machine to itself create abstractions inside it to be able to first mimic human output and then further to do logical stuff.
All of that, just so one can mindlessly feed data into it to “train” it, instead of think themselves and feed it proper logic.
This is like saying they want to install an OS on browser WASM and then install a web browser inside that OS, to do the same thing that they would have otherwise done with the original browser.
In the monkeys analogy, you can add that the monkeys are a simulation on a computer.
Yeah, my main point with all those examples was to put the point that “AI” always has been a marketing term.
Curve-fitting and data-point clustering are both pretty efficient if used for the thing they are made for. But if you then start brute-forcing multiple nodes of the same thing just to get a semblance of something else, that is otherwise not what it is made for, of course you will end up using a lot of energy.
We humans have it pretty hard. Our brain is pretty illogical. We then generate multiple layers of abstractions make a world view, trying to match the world we live in. Over those multiple layers, comes a semblance of logic.
Then we make machine.
We make machines to be inherently logical and that makes it better at logical operations than us humans. Hence calculators.
Now someone comes and says - let’s make an abstraction layer on top of the machine to represent illogical behaviour (kinda like our brains).
(┛｀Д´)┛彡┻━┻
And then on top of that, they want that illogical abstract machine to itself create abstractions inside it to be able to first mimic human output and then further to do logical stuff. All of that, just so one can mindlessly feed data into it to “train” it, instead of think themselves and feed it proper logic.
This is like saying they want to install an OS on browser WASM and then install a web browser inside that OS, to do the same thing that they would have otherwise done with the original browser.
In the monkeys analogy, you can add that the monkeys are a simulation on a computer.