Though it's poetic justice that OpenAI is complaining about someone else playing fast and loose with copyright rules.
Even if you give GenAI unlimited time, it will not develop its own writing/drawing/painting style or come up with a novel idea, because strictly by how it works it can only create „new” work by interpolating its dataset
There is no evidence whatsoever to support that humans create "new, spontaneous thoughts" in any materially, qualitatively different way than an AI. In other words: As a Turing-computable function over the current state. It may be that current AI's can't, but the notion that there is some fundamental barrier is a hypothesis with no evidence to support it.
> Even if you give GenAI unlimited time, it will not develop its own writing/drawing/painting style or come up with a novel idea, because strictly by how it works it can only create „new” work by interpolating its dataset
If you know of any mechanism whereby humans can do anything qualitatively different, then you'd have the basis for a Nobel Prize-winning discovery. We know of no mechanism that could allow humans to exceed the Turing computability that AI models are limited to.
We don't even know how to formalize what it would mean to "come up with a novel idea" in the sense you appear to mean, as presumably, something purely random would not satisfy you, yet something purely Turing computable would also not do, but we don't know of any computable functions that are not Turing computable.
You need to be a bit more expansive. Turing-computable functions need to halt and return eventually. (And they need to be proven to halt.)
> We know of no mechanism that could allow humans to exceed the Turing computability that AI models are limited to.
Depends on which AI models you are talking about? When generating content, humans have access to vastly more computational resources than current AI models. To give a really silly example: as a human I can swirl some water around in a bucket and be inspired by the sight. A current AI model does not have the computational resources to simulate the bucket of water (nor does it have a robotic arm and a camera to interact with the real thing instead.)
This is pedantry. Any non-halting function can be decomposed into a step function and a loop. What matters is that step function. But ignoring that, human existence halts, and so human thought processes can be treated as a singular function that halts.
> Depends on which AI models you are talking about? When generating content, humans have access to vastly more computational resources than current AI models. To give a really silly example: as a human I can swirl some water around in a bucket and be inspired by the sight. A current AI model does not have the computational resources to simulate the bucket of water (nor does it have a robotic arm and a camera to interact with the real thing instead.)
An AI model does not have computational resources. It's a bunch of numbers. The point is not the actual execution but theoretical computational power if unconstrained by execution environment.
The Church-Turing thesis also presupposes an unlimited amount of time and storage.
See https://scottaaronson.blog/?p=735 'Why Philosophers should care about Computational Complexity'
Basically, what the brain can do in reasonable amounts of time (eg polynomial time), computers can also do in polynomial time. To make it a thesis something like this might work: "no physically realisable computing machine (including the brain) can do more in polynomial time than BQP already allows" https://en.wikipedia.org/wiki/BQP