Why is an extreme probability estimate a sign of overconfidence? I would think that confidence in one's estimate is based on the size of your error bars, and someone who thinks event X has 0.01 probability is not necessarily more confident than someone who thinks event X has 0.1 probability.
We are concerned not with a person's confidence in the probability they assign to X, but in their confidence in their prediction that X will or will not happen.
http://michaelnielsen.org/blog/what-should-a-reasonable-person-believe-about-the-singularity/
Michael Nielsen, a pioneer in the field of quantum computation (from his website: Together with Ike Chuang of MIT, he wrote the standard text on quantum computation. This is the most highly cited physics publication of the last 25 years, and one of the ten most highly cited physics books of all time (Source: Google Scholar, December 2007). He is the author of more than fifty scientific papers, including invited contributions to Nature and Scientific American) has a pretty good essay about the probability of the Singularity. He starts off from Vinge's definition of the Singularity, and says that it's essentially the proposition that the three following assumptions are true:
Then he goes on to define the probability of the Singularity within the next 100 years as the probability p(C|B)p(B|A)p(A), and gives what he thinks are reasonable ranges for the values p(A), p(B) and p(C)
In the end, he finds that the Singularity should be considered a serious probability:
Hat tip to Risto Saarelma.