I'm a math undergrad, and I definitely spend more time in the second sort of style. I find that my intuition is rather reliable, so maybe that's why I'm so successful at math. This might be hitting into the "two cultures of mathematics", where I am definitely on the theory builder/algebraist side. I study category theory and other abstract nonsense, and I am rather bad (relative to my peers) at Putnam style problems.
That it hasn't been radically triumphant isn't strong evidence towards its lack of world-beating potential though. Pragmatism is weird and confusing, perhaps it just hasn't been exposited or argued for clearly and convincingly enough. Perhaps it historically has been rejected for cultural reasons ("we're doing physicalism so nyah"). I think there is value on clearly presenting it to the LW/MIRI crowd. There are unresolved problems with a naturalistic philosophy that should be pointed out, and it seems that pragmatism solves them.
As for originalit... (read more)
The computable algorithm isn't a meta-model though. It's just you in a different substrate. It's not something the agent can run to figure out what to do because it necessarily take more computing power. And there is nothing preventing such a pragmatic agent from having a universe-model that is computable, considering finding a computable algorithm approximating itself, and copying that algorithm over and over.
Intervals and ratios are going to be essentially the same thing for conventional pomodoros. They are some time on, some time off, repeat. It might be weird to have variable pomodoros since the break is for mental fatigue, not reward. Perhaps some mechanism to reward you with an M&M at some time randomly in the second half of your pomodoros?
The most charitable take on it that I can form is a similar one to Scott's on MBTI: (http://slatestarcodex.com/2014/05/27/on-types-of-typologies/). It might not be validated by science, but it provides a description language with a high amount of granularity over something that most people don't have a good description language for. So with this interpretation, it is more of a theory in the social sciences sense, a lens at which to look at human motivation, behaviour, etc. This probably differs from, and is a much weaker claim than people at Leverage would... (read more)
I'd say Nick Bostrom (a respected professor at Oxford) writing Superintelligence (and otherwise working on the project), this (https://twitter.com/elonmusk/status/495759307346952192), some high profile research associates and workshop attendees (Max Tegmark, John Baez, quite a number of Google engineers), give FAI much more legitimacy than connection theory.
Irrationality Game:
Politics (in particular, large governments such as the US, China, and Russia) are a major threat to the development of friendly AI. Conditional on FAI progress having stopped, I give a 60% chance that it was because of government interference, rather than existential risk or some other problem.
Bayes is epistemological background not a toolbox of algorithms.
I disagree: I think you are lumping two things together that don't necessarily belong together. There is Bayesian epistemology, which is philosophy, describing in principle how we should reason, and there is Bayesian statistics, something that certain career statisticians use in their day to day work. I'd say that frequentism does fairly poorly as an epistemology, but it seems like it can be pretty useful in statistics if used "right". It's nice to have nice principles underlying your statistics, but sometimes ad hoc methods and experience and intuition just work.
The spaceship "exists" (I don't really like using exists in this context because it is confusing) in the sense that in the futures where someone figures out how to break the speed of light, I know I can interact with the spaceship. What is the probability that I can break the speed of light in the future?
Then for Many Worlds, what is the probability that I will be able to interact with one of the Other Worlds?
I would not care more about things if I gain information that I can influence them, unless I also gain information that they can influence me. If I gain credence in Many Worlds, then I only care about Other Worlds to the extent that it might be more likely for them to influence my world.
Burning cats is another good example. Can you feel how much fun it is to burn cats? Some people used to have all sorts of fun by burning cats. And this one is harder to do the wrong sort of justification based on bad models than either burning witches or torturing heretics.
Edit: Well, just scrolled down to where you talk about torturing animals. Beat me to it I guess...