That's 5D-educational chess.
That's 5D-educational chess.
@Eatsbluecrayon Another demonstration would be to bring a chessboard to class, along with extra pieces, and have the class play chess with an AI of their choosing. They’ll get to watch with their own eyes as the AI fabricates positions and pieces.
This is especially useful because computers have been beating human opponents at chess for a long time now, so people know that chess is something computers can do. That an AI can’t indicates it is worse than its predecessors.
@jadedtwin @WhiteCatTamer @Eatsbluecrayon
If you don’t believe everything can be expressed in numbers then consequently you must believe there is some “magic” in which numbers are meaningless.
That simply isn’t the case. From the count of neurons firing, to their relations and positions: every “emotion” can be described with numbers.
Magic or numbers. That’s the choice.
Thus: language is math (numbers encoded).
But there are no artificial numbers. They are just numbers. We can't create them.
And there is no artificial space. It is just space. We can't create it.
Some people say, there is artificial intelligence. But it is just intelligence. We can't create it.
Evolution sprouted beings, who show intelligent behavior. And those beings _procreate_ and die.
A computer program, stuffed with random human communication, doesn't even have an environment, it has to survive inside.
@altruios @jadedtwin @WhiteCatTamer @Eatsbluecrayon
Sounds like determinism.
> From the count of neurons firing, to their relations and positions: every “emotion” can be described with numbers.
As I remember, we can't do that because:
1) we still don't know how the human brain and consciousness works
2) On MRI we can see some common (for each human being) zones in brain, firing up when some common emotion occurs, thats all.
3) https://aeon.co/essays/your-brain-does-not-process-information-and-it-is-not-a-computer
@evgandr @jadedtwin @WhiteCatTamer @Eatsbluecrayon
Regarding the brain not being a computer…
I get the articles point: but there’s some (willful?) blind spots in those arguments. Short form comments aren’t a way to have that discussion. I’ll get my thoughts together on that.
Of course I mean to say I don’t think humans can literally see or process that much info to that accuracy, if that wasn’t implicit. Laws of physics still apply.
@altruios
Reply guy here!
Neurogenomics!
There's absolutely no evidence that cognition can be ascribed to numbers, or any measurable chemical process.
Down to brass racks, if you pull that magical thinking in a neurobiology paper reviewers 1, 2, and 3 will kick you to the curb.
There just isn't any measurement to support any of that.
It might be useful as a model to thinking about cognition in machine terms. It's just not neurobiology.
@holdenweb @joosteto @evgandr @jadedtwin @WhiteCatTamer @Eatsbluecrayon
Let’s keep it dumbed down: here’s your proof.
1) Name an emotion.
2) I assign a number:
3) done. Infinite numbers means every emotion is represented a number.
It can be done…
The real issue is ordering the data sensibly.
@holdenweb @joosteto @evgandr @jadedtwin @WhiteCatTamer @Eatsbluecrayon
It’s arbitrary: we choose the map.
We have only so many chemicals in our brains. The emotional state can be represented by the chemical balances of various neurotransmitters, product with the electrochemical state of the brain.
Humans may never be able to represent that level detail: I agree. But, in theory, it could be done.
@holdenweb @joosteto @evgandr @jadedtwin @WhiteCatTamer @Eatsbluecrayon you are inserting… something into this conversation… and I don’t know what (bias) that is.
Probabilistic outcomes are described by numbers… what makes you think I would think otherwise?
It’s numbers all the way down.
@holdenweb @joosteto @altruios @jadedtwin @WhiteCatTamer @Eatsbluecrayon
We don't share knowledge or start discussion in #fedi in such aggressive way 
@Eatsbluecrayon @jadedtwin @WhiteCatTamer @altruios
One would have to define what ”expressed in numbers” and ”described with numbers” mean. Is Pi a number? And if it is, does the symbol express it, or is it an expression for the inability to describe that function as a number?
But the main thing is this: Language has no fixed meaning. A symbol (like a word) is not one thing, but many. And it shifts.
Math doesn’t.
@jadedtwin @WhiteCatTamer @Eatsbluecrayon @altruios
I’m no mathematician, but language would be something like the n-body problem. In a sense it can be expressed as numbers, but it can’t be solved.
@thelovebing @jadedtwin @WhiteCatTamer @Eatsbluecrayon
It can be expressed as numbers. As you say: we agree? The meaning of words is a vector list of numbers. Here’s a video on the subject:
@jadedtwin @altruios @WhiteCatTamer @Eatsbluecrayon
I don’t do Youtube. If you have a point I’m sure you can make it yourself.
@thelovebing @jadedtwin @WhiteCatTamer @Eatsbluecrayon the video explains how you use math on language to encode meaning. Examples like “king - man = queen” relational vector math (where each word is a vector {list of numbers}). Word2vec is the keyword to research more.
Those numbers are variable, depending on the relational web of the vocabulary of the language, of course…
@altruios @thelovebing @jadedtwin @WhiteCatTamer @Eatsbluecrayon Which has, as it should, a "limitations" section at the end... which only briefly covers the many limitations of such things.
"Context" is a massive one which changes from person to person, use to use let alone from culture to culture and then from language to language (while translation apps do a reasonable job, especially at the basics, they'll always fall down with e.g. more complex prose where the translation becomes opinion).
@jadedtwin @altruios @level98 @WhiteCatTamer @Eatsbluecrayon
Precisely. ”Queen”, for example, is a word that has (had) many meanings. ”Queen Kristina” of Sweden –again, an example– wasn’t a queen. She never married, and the word used to signify the spouse of a king. She was crowned a king, though. Which of course changed the meaning of those words, at least in Sweden, but not the same way then as it later did.
@level98 @altruios @WhiteCatTamer @jadedtwin @Eatsbluecrayon
It is enormously complex, chaotic even. And while every meaning of a word might be described in numbers (or a dictionary), those descriptions are not very exact (and that’s why translation is really hard, because it isn’t just about denotation).
@altruios @jadedtwin @WhiteCatTamer @Eatsbluecrayon
I see this the other way around.
Humans use numbers to understand things. Every new thing is assigned measurements and studied. This helps a lot in understanding how everything works.
When studying something new, we start by assigning them and seeing how they behave. We need different rules for different processes.
The numbers are not the starting point, they are the way we try to make sense of things that are very complex. If we start with only numbers, we will not be able to figure out anything. We need to give the numbers meaning, and discover the rules behind them.
I'm reminded of Socrates. If you keep asking why, there will be a moment where you don't know. Why do things fall? Well, because of gravity. Why does gravity exist? Well, the earth's mass attracts more mass. This can be explained by diving into molecules and atoms and ions and neutrons and whatnot, but why are there atoms? And why was the big bang? And why does anything exist at all?
For us to assign numbers, we need to understand so much more. And a computer is bound by the logic we give it. Yes, it can make some things up by itself, but those things can be just as wrong as our age-old belief of the flatness of the earth. And the computer will lack knowledge we didn't know it needed. Or things we don't know ourselves.
The world is a magical place, and we are by no means done discovering and making sense of it. ❤️
@altruios @jadedtwin @WhiteCatTamer @Eatsbluecrayon Perhaps you've not read, or understood, Godel's Theorems etc.
Maths *is* amazing, for example, in being "unreasonably good" at describing the workings of the universe to incredible precision.
HOWEVER, as well as Godel, we also have hand-wavy math of QFT e.g. the "Yang–Mills existence and mass gap" Millennium Prize Problem.
Let alone struggles to describe "complex", "chaotic" etc. systems.
Maths limitations are as incredible as what it does.
@holdenweb
representation is doing lifting there…
I agree we cannot represent all the math correctly. Normal numbers are the bulk of numbers and they can’t be represented on the computer… Doesn’t mean normal numbers don’t exist.
Analog systems are still describable by numbers. Digitization is a different issue.
Our limits of representation are not the limits of numbers in the abstract.
You bring up good points, though. Quantization is an issue with representing numbers.
@holdenweb you assert that it can’t be done.
Okay: asserted noted. Any actual argument or reason? (Other than it “feels/seems” like to can’t be done).
@holdenweb
The reasoning is: there is no magic. Magic being a thing which has no attribute which can be measured: yet still has a measurable effect… a contradiction in principle. Therefore everything that exists can be measured… including processes we don’t yet understand (consciousness is a process that happens, not something that just is).
We may not be able to measure everything accurately… but that’s a limit in human’s abilities.
@holdenweb prove? Not quite. Humans will (probably) never make a machine that can represent normal numbers - but we may yet invent something awesome beyond our current comprehension that can.
I don’t think that’s likely… but the probability of that happening is only approximately zero.
All knowledge is an approximation of reality, our experience is subjective through that approximation (like how is color is a representation of wavelength and only in your brain).
@holdenweb infinity when represented physically: is a process that never ends. Defining a measuring function to run forever and increase accuracy overtime converges to the described infinity.
Close to zero: practically zero… not zero! we don’t know what we don’t know yet.
Besides that: there is the concept of useful accuracy - Where further precision offers no more predictive power…
@altruios Practically zero? There is only zero and non-zero!
And yes, of course good enough is good enough for practical purposes … but then that’s no longer theoretical is it?
@holdenweb practically zero is non-zero…? Did that really need to be specified?
Practical experiments test/verify/refine theory…