Let's try something else, because you seem to take it that "brain = physics" is a strong enough argument to believe that all of human creativity is inherently systematic.
The definition of creativity itself should include the ability to subvert a system through abstraction. AI is a system so it cannot subvert itself (or, it hasn't yet). As humans, we subvert systems in mathematics by creating higher dimensional abstraction and shattering previous understanding of the fields. Often, mathematicians achieve this with a "lightening bolt-like realization" that they do not attribute to systematic thinking.
Please reconsider whether systematizability should be so quickly assumed through napkin philosophy. If you want, prove with a topological map of the creative apparatus in the brain that it produces results in a systematic way. That would at least scratch the itch and get the conversation going somewhere interesting.
If we can infinitely reach things untraceable to known physics then I don't see how it could ever be proven that we could perfectly simulate human brains, but for the sake of the argument: what resolution do we care to simulate the brain at? Technically speaking, a 1990's chatbot simulates the human brain to some non-zero resolution.
My point is that to make the claim "human creativity" can be simulated surely would have the burden.
I gave you the benefit of the doubt and re-read the thread.
Creativity: producing what is novel + valuable
Systematizable: can be enumerated via algorithmic operations
"As others have mentioned": that is not an argument
"not everyone else who already knows": also not an argument
Now, my point is that creativity as defined above requires a burden of proof to be defined as systemetizable. For instance, mathematical leaps are often achieved by a spark of "creativity" which breaks existing structures in a way which is difficult to grasp, and to call this systemetizable is a leap that requires a complex argument calling upon deep notions of computational theory and computational neuroscience (like producing a topological map of the creative structure of the brain and proving that it can be mimicked by a listable process).
Now, to apply this to art in a convincing way would surely be even harder. Do you at least understand my point? Or is "brain = physics = creative" satisfactory enough for you still? Thanks for reading in good faith this time. :)
Most artists actually can tell which style each AI piece is stealing from. If you want the perfect example google "Beksinski". The overall goopy feeling of AI art is actually a turn off for most people, btw.
AI will always lose because the result can only be a permutation of what already exists and the next artist will grow up and push the boundary - hence, AI will always lag behind the tip of the spear which is human creativity.
Not to mention, you are already wrong because art communities around human art are thriving now more than ever for the simple fact that the result of AI itself is non-communal (does not produce thriving community) and cannot compete at the bleeding edge of style.
Again, this is already happening regardless of your armchair hypothesis.
If they couldn't tell it was AI, yes. Winning an art competition is by itself paradoxical in undermining the point of art, so I don't know how that's relevant, but it is certainly an impressively weak point.
Once again since you missed the entire point: I don't believe creativity is non-physical, I believe it is non-systematizable, and my brother achieving a PhD in computational neuroscience from a top university actually initially shared this with me.
Yeah I think my point flew over your head, which is fine.
And you're incorrect - you cannot "empirically prove creativity". As a professional artist I don't think you quite understand that the type of creativity we are interested in is not just "permutation", there is clearly a human component.
I'm trying to show you that you are falling into the reverse of the AI effect by assuming that permutation is creativity.
Incorrect - I'm clearly using delineate to mean providing the exact set of computational instructions which produce the output (image), which by the definition of "computable" must be true.
You seem emotional, "you sound stupid and nothing what you said makes sense", I wonder, why are you so triggered by a challenging idea?
The very point of computation is to evaluate clear, distinct, mathematical expressions (like reading a list of algorithmic steps to produce an NN).
Hmmm. Did I threaten your religious belief in the power of AI? :)
And the Masters developed their style over decades pushing beyond the previously systematized constraints of their peers, something which can definitionally not be achieved by AI which works within the dimensionality of the training set and thus will always lag behind the next artistic stylistic advancements.
I'm pointing out that your "AI Effect" is one-sided in the wrong direction.
Surely you agree that we care more to prove the affirmative of whether a machine is conscious rather than prove that it isn't. If not, I don't think we can proceed.
The issue is that the AI Effect you linked is often actually used in the reverse, including by yourself, where the burden of proof should be to prove a machine is NOT conscious. However, like we've agreed, we care for proof in the affirmative.
Thus, the paradox lies in that the "AI Effect" concept is critical of those demanding the proof which is more valuable.
I never said it can't. And you're mistaken unfortunately - it is extremely difficult to prove a negative, as most people trained in philosophy intimately understand. For instance, "prove God is NOT real". You might be new to analytical thinking, and I would recommend diving a bit deeper into "burden of proof" type arguments before proceeding further.
I never said it can't. And you're mistaken unfortunately - it is extremely difficult to prove a negative, as most people trained in philosophy intimately understand. For instance, "prove God is NOT real".
That's actually untrue to me as a professional artist. A.I. art has shown me that cheap permutations (which have been done in art even before A.I.) can still capture the untrained eye. I don't think that's anything particularly new.
And absolutely, however creativity is the tip of the spear which pushes beyond constraints to develop novel AND meaningful style (like Beksinski, Kopera, Kostetsky, Moebius, etc).
No - we're discussing whether someone producing stock photography can be trained in the same sense as a.i. However, I will give you that I'm potentially falsely assuming creativity is required to a comparable degree to art.
Also, gun-to-my-head I would not bet on creativity being systemetizable, so I completely disagree.
The reverse is also true which makes your entire point hypocritically paradoxical. If a human makes it we immediately assume it can be computed (creativity). That is the strong claim which I think requires the burden of proof.
The definition of creativity itself should include the ability to subvert a system through abstraction. AI is a system so it cannot subvert itself (or, it hasn't yet). As humans, we subvert systems in mathematics by creating higher dimensional abstraction and shattering previous understanding of the fields. Often, mathematicians achieve this with a "lightening bolt-like realization" that they do not attribute to systematic thinking.
Please reconsider whether systematizability should be so quickly assumed through napkin philosophy. If you want, prove with a topological map of the creative apparatus in the brain that it produces results in a systematic way. That would at least scratch the itch and get the conversation going somewhere interesting.