Utility functions do not have to have a time discount - in fact, while it might be useful when dealing with inflation, I don't see why there should be time discounts in general. As far as circumventing the second law of thermodynamics goes, there are several proposed methods, and given that humanity doesn't have a complete understanding of physics I don't think we can have a high degree of confidence one way or the other.
Utility functions do not have to have a time discount...
Without time discount you run into issues like the procrastination paradox and Boltzmann brains. UDT also runs into trouble since arbitrarily tight bounds on utility become impossible to prove due to Goedel incompleteness. If your utility function is unbounded it gets worse: your expectation values fail to converge (as exemplified by Pascal mugging).
As far as circumventing the second law of thermodynamics goes, there are several proposed methods...
Are there?
......given that humanity doesn't have
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.