I claim the reasons model stop right now are mostly issues of capability wrt context rot and the limitations of in context learning, so I think if you placed a model with “today’s values” in a model with “tomorrow’s capabilities” then we’d see maximizing behaviour. I also claim that arguments from how things are right now aren’t applicable here because the claim is the instrumental convergence is a step change for which current models are a poor analogy (unless there’s a specific reason to believe they’d be good ones, like a well made model organism).
I claim the reasons model stop right now are mostly issues of capability wrt context rot and the limitations of in context learning, so I think if you placed a model with “today’s values” in a model with “tomorrow’s capabilities” then we’d see maximizing behaviour. I also claim that arguments from how things are right now aren’t applicable here because the claim is the instrumental convergence is a step change for which current models are a poor analogy (unless there’s a specific reason to believe they’d be good ones, like a well made model organism).