When I picture what a proven-Friendly AI looks like, I think of something where it's goals are 1)Using a sample of simulated humans, generalize to unpack 'do what I mean' followed by 2)Make satisfying that your utility function.
Proving those two steps each rigorously would produce a proven-Friendly AI without an explicit utility function. Proving step 1 to be safe would obviously be very difficult; proving step 2 to be safe would probably be comparatively easy. Both, however, are plausibly rigorously provable.
2)Make satisfying that your utility function.
This is what I mean by an explicit utility function. An implicit one is where it never actually calculates utility, like how humans work.
I'm giving a talk to the Boulder Future Salon in Boulder, Colorado in a few weeks on the Intelligence Explosion hypothesis. I've given it once before in Korea but I think the crowd I'm addressing will be more savvy than the last one (many of them have met Eliezer personally). It could end up being important, so I was wondering if anyone considers themselves especially capable of playing Devil's Advocate so I could shape up a bit before my talk? I'd like there to be no real surprises.
I'd be up for just messaging back and forth or skyping, whatever is convenient.