I can "scale up" a threaded program by giving more processors for the threads to run on, but this doesn't actually improve the program output (apart from rounding error and nondeterministic effects), it just makes the output faster. I can "scale up" an approximation algorithm that has a variable discretization size N, and that actually improves the output... but how do you adjust "N" in a worm brain?
I can "scale up" a threaded program by giving more processors for the threads to run on, but this doesn't actually improve the program output (apart from rounding error and nondeterministic effects), it just makes the output faster.
Sure. Computers don't always behave like brains do. Indeed, they are mostly designed to compensate for brain weakenesses - to be strong where we are weak.
...I can "scale up" an approximation algorithm that has a variable discretization size N, and that actually improves the output... but how do you adjust
If you were a utilitarian, then why would you want to risk creating an AGI that had the potential to be an existential risk, when you could eliminate all suffering with the advent of WBE (whole brain emulation) and hence virtual reality (or digital alteration of your source code) and hence utopia? Wouldn't you want to try to prevent AI research and just promote WBE research? Or is it that AGI is more likely to come before WBE and so we should focus our efforts on making sure that the AGI is friendly? Or maybe uploading isn't possible for technological or philosophical reasons (substrate dependence)?
Is there a link to a discussion on this that I'm missing out on?