Don't humans operate similarly? We gain knowledge through experiences. These AI models effectively condense a vast amount of experience data into weights. Considering the global race in AI advancements, I'm skeptical about the success of these copyright claims. I do find it hypocritical that OpenAI says that other LLMs can't be trained on data generated by their LLMs.
We have no way to reconstruct memories from a preserved brain (yet). The exact ways in which humans form memories and store information isn't even known yet; we're still drilling into the specifics from higher-level concepts.
Modeling the human brain like nodes with weights ignores a lot of biological processes. Blood/oxygen flow, hormones, neurotransmitter decay, physical locality, chemical delays and interference from things like myelin sheaths, and other physical processes affect the synapses that are partially mirrored by computer simulations of neural networks. Unlike neural networks, human brains also don't work based on a single clock signal triggering input and output from all notes in instant steps.
Human memories are also not just "data in, weights out". They are heavily modified by things like mood, concentration, language(s) spoken, context, and emotional triggers. There's no way to feed a dictionary into a brain. Memory preservation consists of multiple stages, with differing memory types, involving various brain segments with dedicated functionality that can actually grow back due to neuroplasticity in some cases.
Efforts are being made to emulate living cells on computers, but LLMs aren't that. Inversely, efforts are also made to feed brain cells artificial signals and train them to play video games, which results in different behaviour compared to the systems we use for LLMs or other AI systems.