I think Greg Egan makes an important point there that I have mentioned before and John Baez seems to agree:
I agree that multiplying a very large cost or benefit by a very small probability to calculate the expected utility of some action is a highly unstable way to make decisions.
Actually this was what I had in mind when I voiced my first attempt at criticizing the whole endeavour of friendly AI, I just didn't know what exactly was causing my uneasiness.
I am still confused about it but think that it isn't much of a problem as long as friendly AI research is not being funded at the cost of other risks that are more thoroughly based on empirical evidence rather than the observation of logically valid arguments.
To be clear, as I wrote in the post above, I think that there are very strong arguments in support of friendly AI research. I believe that it is currently the most important cause one could support, but I also think that there is a limit to what one should do in the name of mere logical implications. Therefore I partly agree with Greg Egan.
ETA
There's now another comment by Greg Egan:
All of Yudkowsky’s arguments about the dangers and benefits of AI are just appeals to intuition of various kinds, as indeed are the counter-arguments. So I wouldn’t hold your breath waiting for that to be settled. If he wants to live his own life based on his own hunches, that’s fine, but I see no reason for anyone else to take his land-grabs on terms like “rationality” and “altruism” at all seriously, merely because it’s not currently possible to provide mathematically rigorous proofs that his assignments of probabilities to various scenarios are incorrect. There’s an almost limitless supply of people who believe that their ideas are of Earth-shattering importance, and that it’s incumbent on the rest of the world to either follow them or spend their life proving them wrong.
But clearly you’re showing no signs of throwing in productive work to devote your life to “Friendly AI” — or of selling a kidney in order to fund other people’s research in that area — so I should probably just breathe a sigh and relief, shut up and go back to my day job, until I have enough free time myself to contribute something useful to the Azimuth Project, get involved in refugee support again, or do any of the other “Rare Disease for Cute Kitten” activities on which the fate of all sentient life in the universe conspicuously does not hinge.
Link: johncarlosbaez.wordpress.com/2011/04/24/what-to-do/
His answer, as far as I can tell, seems to be that his Azimuth Project does trump the possibility of working directly on friendly AI or to support it indirectly by making and contributing money.
It seems that he and other people who understand all the arguments in favor of friendly AI and yet decide to ignore it, or disregard it as unfeasible, are rationalizing.
I myself took a different route, I was rather trying to prove to myself that the whole idea of AI going FOOM is somehow flawed rather than trying to come up with justifications for why it would be better to work on something else.
I still have some doubts though. Is it really enough to observe that the arguments in favor of AI going FOOM are logically valid? When should one disregard tiny probabilities of vast utilities and wait for empirical evidence? Yet I think that compared to the alternatives the arguments in favor of friendly AI are water-tight.
The problem why I and other people seem to be reluctant to accept that it is rational to support friendly AI research is that the consequences are unbearable. Robin Hanson recently described the problem:
I believe that people like me feel that to fully accept the importance of friendly AI research would deprive us of the things we value and need.
I feel that I wouldn't be able to justify what I value on the grounds of needing such things. It feels like that I could and should overcome everything that isn't either directly contributing to FAI research or that helps me to earn more money that I could contribute.
Some of us value and need things that consume a lot of time...that's the problem.