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.
Could you provide links? A google search turned up many different things, but I think you mean this procrastination paradox. Is it possible that one's utility function does not discount, but given uncertainty about the future one should kind of behave as if it does? (e.g. I value life tomorrow exactly as much as I value life today, but maybe we should party hard now because we cannot be absolutely certain that we will survive until tomorrow)
If your utility function is unbounded it gets worse: your expectation values fail to converge (as exemplified by Pascal mugging).
What if I maximise measure. or maximise the probability of attaining an unbounded amount of utility?
WRT circumventing the second law of thermodynamics, there is the idea of creating a basement universe to escape into, some form of hypercomputation that can experience subjective infinite time in a finite amount of real time, and time crystals which apparently is a real thing and not what powers the TARDIS.
I think our understanding is not so bad. We're missing a theory of heterogeneous nucleation of string theoretic vacua (as far as I know).
AFAIK humanity does not know what the dark matter/ derk energy is that 96% of the universe is made of. This alone seems like a pretty big gap in our understanding, although you seem to know more physics than I do.
Could you provide links?
Boltzmann brains were discussed in many places, not sure what the best link would be. The idea is that when the universes reaches thermodynamic equilibrium, after humongous amount of time you get Poincare recurrences: that is, any configuration of matter will randomly appear an infinite number of times. This means there's an infinite number of "conscious" brains coalescing from randomly floating junk, living for a brief moment and perishing. In the current context this calls for time discount because we don't want the u...
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.