How do you know how much scope there is for software-only optimization? If I understand right, you are assuming that an AGI is able to reliably write the code for a much more capable AGI.
I’m sure this isn’t true in general. At some point you max out the hardware. Before you get to that point, I’d expect the amount of cleverness needed to find more improvements exceeds the ability of the machine. Intractable problems stay intractable no matter how smart you are.
Just how much room do you think there is for iterative software-only reengineering of an AGI, and why?
How do you know how much scope there is for software-only optimization? If I understand right, you are assuming that an AGI is able to reliably write the code for a much more capable AGI.
I’m sure this isn’t true in general. At some point you max out the hardware. Before you get to that point, I’d expect the amount of cleverness needed to find more improvements exceeds the ability of the machine. Intractable problems stay intractable no matter how smart you are.
Just how much room do you think there is for iterative software-only reengineering of an AGI, and why?