selzero

joined 1 year ago
[–] selzero@syzito.xyz 1 points 9 months ago

@spaduf @boud it is pretty much here isn't it?

[–] selzero@syzito.xyz 2 points 1 year ago (1 children)

@Justly0250

uBlock

The Internet is not the same without it.

[–] selzero@syzito.xyz 2 points 1 year ago (1 children)

@doug @aredridel @glenatron @raccoona_nongrata @fwygon

Imagination *IS* the processing of retained information to create a derivative.

[–] selzero@syzito.xyz 2 points 1 year ago (2 children)

@doug @aredridel @glenatron @raccoona_nongrata @fwygon

So Doug what you are saying is one of these things takes in external data, processes it, synergies it, and exports a derivative version, and the other thing is the machine?

No wait, the other thing is the human?

... Wait...

[–] selzero@syzito.xyz 1 points 1 year ago (4 children)

@aredridel @glenatron @raccoona_nongrata @fwygon

So, a human being a link in the chain of this historical cultural development of creation, is "more valuable" than a machine doing that?

Who makes these rules?

There is some kind of value structure at play here that I have not been made privy to?

[–] selzero@syzito.xyz 1 points 1 year ago (6 children)

@aredridel @glenatron @raccoona_nongrata @fwygon

I don't understand, can you elaborate please. How is it not biological?

[–] selzero@syzito.xyz 1 points 1 year ago (8 children)

@aredridel @glenatron @raccoona_nongrata @fwygon

Humans are also machines, biological machines, with a neurology based on neurons and synapse. As pointed out before, human "creativity" is also a result of past external consumption.

When AI is used to eventually make a movie, it will use more than one AI model. Does that make a difference? I guess your "one person" example is Scorsese's "auteur"?

It seems we are fetishizing biological machines over silicon machines?

[–] selzero@syzito.xyz 1 points 1 year ago

@raccoona_nongrata

In fact, generating content purely for the purpose of training itself is one of the core techniques in training machine learning models.

[–] selzero@syzito.xyz 2 points 1 year ago (1 children)

@raccoona_nongrata

Actually this is how we are training some models now.

The models are separated, fed different versions of the source data, then we kick off a process of feeding them content that was created by the other models creating a loop. It has proven very effective. It is also the case that this generation of AI created content is the next generations training data, simply by existing. What you are saying is absolutely false. Generated content DOES have a lot of value as source data

[–] selzero@syzito.xyz 2 points 1 year ago (6 children)

@raccoona_nongrata

A machine will not unilaterally develop an art form, and develop it for 100,000 years.

Yes I agree with this.

However, they are not developing an art form now.

Nor did Monet, Shakespeare, or Beethoven develop an art form. Or develop it for 100,000 years.

So machines cannot emulate that.

But they can create the end product based on past creations, much as Monet, Shakespeare, and Beethoven did.

[–] selzero@syzito.xyz 6 points 1 year ago (11 children)

@glenatron @raccoona_nongrata @fwygon

This angle is very similar to a debate going on in the cinema world, with Scorsese famously ranting that Marvel movies are "not movies"

The point being without a directors message being portrayed, these cookie cutter cinema experiences, with algorithmically developed story lines, should not be classified as proper movies.

But the fact remains, we consume them as movies.

We consume AI art as art.

[–] selzero@syzito.xyz 10 points 1 year ago (8 children)

@raccoona_nongrata

Actually. It is necessary. The process of creativity is much much more a synergy of past consumption than we think.

It took 100,000 years to get from cave drawings to Leonard Da Vinci.

Yes we always find ways to draw, but the pinnacle of art comes from a shared culture of centuries.

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