You rate your ability to predict AI above AI researchers? It seems to me that at best, I as an independent observer should give your opinion about as much weight as any AI researcher. Any concerns with the predictions of AI researchers in general should also apply to your estimate. (With all due respect.)
This is required reading for anyone wanting to extrapolate AI researcher predictions:
https://intelligence.org/files/PredictingAI.pdf
In short, asking AI researchers (including myself) their opinions is probably the worst way to get an answer here. What you need to do instead is learn the field, try your hand at it yourself, ask AI researchers what they feel are the remaining unsolved problems, investigate those answers, and most critically form your own opinion. That's what I did, and where my numbers came from.
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.