CDT is difficult to apply to situations with clones, unless you supplement it by some anthropic hypothesis like SIA or SSA.
While I can see why there intuitive cause to abandon the "I am person #2, therefore there are probably not 100 people" reasoning, abandoning "There are 100 clones, therefore I'm probably not clone #1" seems to be simply abandoning probability theory altogether, and I'm certainly not willing to bite that bullet.
Actually, looking back through the conversation, I'm also confused as to how time discounting helps in the case that one is acting like a Boltzmann brain - someone who knows they are a B-brain would discount quickly anyway due to short lifespan, wouldn't extra time discounting make the situation worse? Specifically, if there are X B-brains for each 'real' brain, then if the real brain can survive more than X times as long as a B-brain, and doesn't time discount, then the 'real' brain utility still is dominant.
I'm not sure what you mean here. Sets have measure, not functions.
I wasn't being very precise with my wording - I meant that one would maximise the measure of whatever it is one values.
Hmm, baby universes are a possibility to consider. I thought the case for them is rather weak but a quick search revealed this. Regarding performing an infinite number of computations I'm pretty sure it doesn't work.
Well, I have only a layman's understanding of string theory, but if it were possible to 'escape' into a baby universe by creating a clone inside the universe, then the process can be repeated, leading to an uncountably infinite (!) tree of universes.
While I can see why there intuitive cause to abandon the "I am person #2, therefore there are probably not 100 people" reasoning, abandoning "There are 100 clones, therefore I'm probably not clone #1" seems to be simply abandoning probability theory altogether, and I'm certainly not willing to bite that bullet.
I'm not entirely sure what you're saying here. UDT suggests that subjective probabilities are meaningless (thus taking the third horn of the anthropic trilemma although it can be argued that selfish utility functions are still ...
Cross-posted from my blog.
Yudkowsky writes:
My own projection goes more like this:
At least one clear difference between my projection and Yudkowsky's is that I expect AI-expert performance on the problem to improve substantially as a greater fraction of elite AI scientists begin to think about the issue in Near mode rather than Far mode.
As a friend of mine suggested recently, current elite awareness of the AGI safety challenge is roughly where elite awareness of the global warming challenge was in the early 80s. Except, I expect elite acknowledgement of the AGI safety challenge to spread more slowly than it did for global warming or nuclear security, because AGI is tougher to forecast in general, and involves trickier philosophical nuances. (Nobody was ever tempted to say, "But as the nuclear chain reaction grows in power, it will necessarily become more moral!")
Still, there is a worryingly non-negligible chance that AGI explodes "out of nowhere." Sometimes important theorems are proved suddenly after decades of failed attempts by other mathematicians, and sometimes a computational procedure is sped up by 20 orders of magnitude with a single breakthrough.