No. Humans will feed the new data into the system/neural network. Humans will not use the data to improve the version. The learning will be done on its own, based on the human feedback (thumbs up or thumbs down) on the interactions it had. The network will update its weights parameters to optimize for higher probability of thumbs up. Just like humans optimize for thumbs up and positive feedback from the interactions we have.

It is collecting feedback from user data and improving itself. Just that it isn’t doing online learning (in real time just after it receives the feedback). Online or batch, it still is improving itself by reflecting (learning from) on the massive amounts of feedback it has collected from its millions of users. It isn’t developing its underlying algorithms, training architectures, etc. (which is also feasible to do). But that even humans can’t do. That’d be more akin to humans being able to evolve themselves into more intelligent beings by modifying the brain structure, size, or neuron function, rather than mere self improvement based on reflection of past experiences. The latter sounds like what any AI system already seems to do to me. Whether it is self aware or not like humans, I don’t know. It can convince you that it is self aware, at which point there’d be no way to prove that it isn’t or it is.

No it didn’t. The terms like consciousness are not well defined as of today. It is giving multiple perspectives ways to define and understand what consciousness is and isn’t

It can. When we humans reflect and self improve, at the raw level, there’s a lot of computation happening in the brain. This leads to improvement. ChatGPT has different kinds of computations doing something similar to me