Also does this also mean that you believe that brain emulations (uploads) are not possible, even given an arbitrary amount of compute power?
2. Computers can't do continuous and unsupervised learning, which means computers require structured input, labeled data, and predefined objectives to learn anything. Humans learn passively all the time just by existing in the environment
1. Self-rewiring is just a matter of hardware design. Neuromorphic hardware is a thing.
2. LLM foundation models are actually unsupervised in a way, since they simply take any arbitrary text and try to complete it. It's the instruction fine-tuning that is supervised. (Q/A pairs)
The point is about unsupervised learning. Once an LLM is trained, its weights are frozen — it won’t update itself during a chat. Prompt-driven Inference is immediate, not persistent, you can define a term or concept mid-chat and it will behave as if it learned it, but only until the context window ends. If it was the other way all models would drift very quickly.
It's such a small leap to see how an artificial intelligence can/could become capable of understanding and have intentionality.