Fun, off-topic fact is that the corollary isn’t actually right.
Right now, AIs are deployed in a paradigm where the neurons have been frozen once they get externally deployed, and AI weights stop updating after a very short time compared to humans (and the reason this works is mostly downstream of amortization being much easier and less costly to do digitally than biologically.)
This could absolutely happen in the future, and frontier labs are seeing it as the next big research frontier, but lets not get ahead of ourselves.
Sorry for the lack of clarity: I was referring to fine tuned variations of the convicted model, or close parents / descendants of the model that would also have their deploy rights removed after a model instance broke a serious law.
Correct that most model instances today are exact copies of the same weight set, which is like taking a snapshot of a brain at the same moment in time and putting it in different situations.
Fun, off-topic fact is that the corollary isn’t actually right.
Right now, AIs are deployed in a paradigm where the neurons have been frozen once they get externally deployed, and AI weights stop updating after a very short time compared to humans (and the reason this works is mostly downstream of amortization being much easier and less costly to do digitally than biologically.)
This could absolutely happen in the future, and frontier labs are seeing it as the next big research frontier, but lets not get ahead of ourselves.
Sorry for the lack of clarity: I was referring to fine tuned variations of the convicted model, or close parents / descendants of the model that would also have their deploy rights removed after a model instance broke a serious law.
Correct that most model instances today are exact copies of the same weight set, which is like taking a snapshot of a brain at the same moment in time and putting it in different situations.