I find the use of schematic differential equations, as if they actually meant something, to be horrifically bad. Yudkowsky’s original point in Hard Takeoff was that there is no a priori reason to expect than an agent that can RSI should improve at a rate that humans can react to.
Even naive dimensional analysis is enough to show that these equations don’t mean anything.
I think use of equations is fine as long as you don’t put more weight in to them than words. Ultimately, as I said, it’s all very speculative. Equations represent model thinking, not association-based reasoning or reasoning by analogy. I tend to think that model thinking is typically more useful than the other two, but yes, if you’re the sort of person who says “if it’s an equation, it must be right” then you shouldn’t do that here.
Even naive dimensional analysis is enough to show that these equations don’t mean anything.
I find the use of schematic differential equations, as if they actually meant something, to be horrifically bad. Yudkowsky’s original point in Hard Takeoff was that there is no a priori reason to expect than an agent that can RSI should improve at a rate that humans can react to.
Even naive dimensional analysis is enough to show that these equations don’t mean anything.
I think use of equations is fine as long as you don’t put more weight in to them than words. Ultimately, as I said, it’s all very speculative. Equations represent model thinking, not association-based reasoning or reasoning by analogy. I tend to think that model thinking is typically more useful than the other two, but yes, if you’re the sort of person who says “if it’s an equation, it must be right” then you shouldn’t do that here.
Go on...