Kairos

Un zorro problemático || ⚠️ Cuenta NSFW || Temas tabú ⚠️ || Bara || #Freerol || #MultiverseRP

[Kairos @KairosFox]

Esta es una cuenta de rol SFW o NSFW. Especialmente enfocado en rol bara.

Kairos es un jóven zorro de 21 años, problemático, callejero y bravucón. Es muy ágil, mujeriego, sabe pelear (y robar) y se ha armado una reputación y muchos enemigos. Info NSFW abajo ⬇️⬇️

[Kairos @KairosFox]

@_sevatar @JohnTzimiskes97 I think you're still seeing the matter narrowly, but I think part of the issue is when people say "AI artists" they mean different things.

When I talk about AI artists I don't mean prompters. I mean people that go beyond prompting as part of their creative process with AI.

[Kairos @KairosFox]

@_sevatar @JohnTzimiskes97 There a dozens of ways of using AI to make art. You people have some sort of tunnel vision about it pretending all that can be done with it in the creative spaces is limited to prompting and approving the output. AI is one of the most versatile tools ever created.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi Okay. But let's not talk about "human experiences", let's talk about "experiences".

It is possible that other intelligent systems develop their own experiences. If dopamine is the reward signal, an equivalent reward signal in another system should imply an equivalent of "happy"

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi We're talking about physical substrates because machines are also physical. The memory is stored in chips.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi Yes, but in theory, following that exact premise. If there was a 1:1 simulation to how the entire brain system works, including equivalents to the different neurochemicals in the whole play. What is a reason to not believe an equivalent feeling of happiness could emerge?

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi We feel happiness because of compounds such as dopamine. But dopamine is not happiness. The feeling of happiness itself could emerge from equivalent substrates in other complex systems with a similar function.

[Kairos @KairosFox]

@the_arkitectai @ARozenshtein If consciousness was so clear and understandable, the hard problem of consciousness wouldn't be a thing.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi But what magical properties make our neurochemical substrate special? What makes you so sure that feeling of consciousness cannot emerge from other kind of complex systems? You seem to state this merely based on the fact you're a human and can feel, so no other systems could.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi If you state the "spark" exists via neurochemistry, and you can train an AI with it that does the same thing as a neural networks model (like playing a videogame, this has been proved already), it's worth questioning if consciousness could also be reached by other means.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi No, actually biocomputing is interesting for optimization purposes. It doesn't have to do with making AI have feelings.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi No, the point is both tensors and neurons can be used as means for learning. Same principle, different means.

You would not say an image generated by a cluster of human neurons have the "spark", when you can do the same thing with artificial neurons. Would you?

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi So you could, in theory, run ChatGPT in a cluster of human neurons.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi I think you don't get it.

It's proving you can train image generation models using biological neurons instead of artificial networks. Following the same approach used for traditional training models, but replacing numbers by chemistry and electricity. And works the same way.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi Biocomputing could be proving learning goes beyond just biology, as scientists are able to teach AI algorithms to biological networks by following the same principle used in artificial neural networks.

[Kairos @KairosFox]

@XingDaoHSR @aran_nayebi But the principle could be the same. Like how gravity pulls an apple that falls from a tree and entire galaxies are formed by the same phenomenom of gravity. In learning what we see is something adjusting itself and performing its task better over time according to parameters.

[Kairos @KairosFox]

@_PaleblueDot__ @stinekey Well, the cited person does state they edited the images as needed, I doubt this is a case of taking more effort to look at than producing.

[Kairos @KairosFox]

@XingDaoHSR @aran_nayebi To teach an AI algorithm using biological neurons scientists use dopamine as reward instead of numbers. I would question if learning is something exclusively animal or is some kind of emerging principle beyond biology that organisms just happen to use for preservation.

[Kairos @KairosFox]

@_PaleblueDot__ @stinekey Maybe it just says something: people hated collaborating but they had to because there was no other option. Now AI gives the option to avoid it.

[Kairos @KairosFox]

@XingDaoHSR @aran_nayebi Biocomputing is already using biological neurons to run AI algorithms. The principle is the same.

[Kairos @KairosFox]

@ArthurLyonMason @aran_nayebi Look up about biocomputing.