[...] tools to determine which expected result to choose. Trivialism provides tools more well suited for deciding in the absence of information.
Whoa whoa whoa. Too much inferential distance. I don't even have the slightest remote idea of where to begin imagining how trivialism could possibly be used or imply anything even remotely like a tool for "choosing" anything.
Is there a "Learn Trivialism the Hard Way" thing somewhere that would help me bridge the gap between "X is true for all X" and actually choosing an action, a belief, anything at all? I'm obviously not going to gain much just from the wikipedia page, and googling doesn't seem to provide anything useful either.
It is going to rain and it is not going to rain.
Do you bring your umbrella?
Personally, I am not a trivialist, because there are no arguments which convince me that trivialism is superior to the blended philosophy that I haphazardly adhere to. That could be because I don't understand it well enough to internalize it, or it could be because trivialism isn't a robust philosophy. Either way, as long as you are trying to use information to make informed choices, you aren't well served by trivialism. Trivialism is best used to make trivial choices; in pure trivialism all choices are trivial. If you believe that a choice is nontrivial, you are not trivialist.
Straight from Wikipedia.
I just had to stare at this a while. We can have papers published about this, we really ought to be able to get papers published about Friendly AI subproblems.
My favorite part is at the very end.
Trivialism is the theory that every proposition is true. A consequence of trivialism is that all statements, including all contradictions of the form "p and not p" (that something both 'is' and 'isn't' at the same time), are true.[1]
[edit]See also
[edit]References
[edit]Further reading