my personal opinion is that the intelligence ceiling scales with the complexity of the environment it operates in. this means that we could theoretically get so

my personal opinion is that the intelligence ceiling scales with the complexity of the environment it operates in. this means that we could theoretically get something resembling AGI in a simulated environment complex enough. in practice, simulating an environment complex enough would be extremely inefficient compared to just using the (computationally free) real physical world. also, the intelligence itself is shaped by the environment it operates in, so it would turn out to be more human-like the closer its operating environment is to our human physical world. this also means intelligences not trained in our physical world (or a convincingly close simulation of it) won't be human-like, but rather a very alien. moreover, i'm not sure that even an intelligence trained in the physical world with human-like sensory inputs will necessarily turn out human-like. there might be a case for convergent evolution (i.e. mammalian intelligence to be global optimum-ish), but i think human intelligence will only have a chance to emerge if everything, from the operating environment to the machine body and neural structure will resemble a human to the point where there is no difference in the human and the machine at all.