Could we maybe say that an LLM which can update its own model weights using its own internal self-narrating log may be 'closer' to being dynamic? We can use Wolfram's computational irreducibility principle which says that even simple rule-based functions will often cause unpredictable patterns of its return values. You could say that computer randomness is deterministic, but could we maybe say that ontologically a Quantum-NN LLMs could perhaps be classified on paper as being Dynamic? (unless you believe that quantum computing is deterministic).

Not saying it isn’t possible, but this is scope creep to the greatest extent. The customer wants to play baseball.

Now we’re trying to build a self-learning and improving AI to replace a human who is also capable of self-learning and improving.