Honestly the best empiric data I know is Ray Kurzweil's extrapolations, which places 2045 generically as the date of the singularity, although he places human-level AI earlier around 2029 (obviously he does not lend credence to a FOOM). You have to take some care in using these predictions as individual technologies eventually hit hard limits and leave the exponential portion of the S-curve, but molecular and reversible computation shows that there is plenty of room at the bottom here.
2070 is a crazy late date. If you assume the worst case that we will be unable to build AGI any faster than direct neural simulation of the human brain, that becomes feasible in the 2030's on technological pathways that can be foreseen today. If you assume that our neural abstractions are all wrong and that we need to do a full simulation including the inner working details of neural cells and transport mechanisms, that's possible in the 2040's. Once you are able to simulate the brain of a computational neuroscientist and give it access to its own source code, that is certainly enough for a FOOM.
The best thing I can think of is that we all can agree, that AI is not be developed tomorrow. Or in a month. Why do we think that? It seems like coming from some very reliable empiric data. If we can identify factor, which make us near-certain AI is not be created in a span of few months from now, maybe upon closer look, it may provide us with some less shaky predictions for further future.
I'm not sure what you're saying here. That we can assume AI won't arrive next month because it didn't arrive last month, or the month before last, etc.? That seems like shaky logic.
If you want to find out how long it will take to make a self-improving AGI, then (1) find or create a design for one, and (2) construct a project plan. Flesh that plan out in detail by researching and eliminating as much uncertainty as you are able to, and fully specify dependencies. Then find the critical path.
Edit: There's a larger issue which I forgot to mention: I find it a little strange to think of AGI arriving in 2070 vs the near future as comforting. If you assume the AI has evil intentions, then it needs to do a lot of computational legwork before it is able to carry out any of its plans. With today's technology it's not really possible to do that and remain hidden. It could take over a botnet, sure, but the level of HPC computing required to develop new computational technology (e.g. molecular nanotechnology) requires data centers today. In 2070 though, either that technology already exists or a home network of PCs would be sufficient. By being released earlier, the UFAI has more legwork it needs to do in the event of a breakout scenario, giving higher chances of detection and more of a buffer for humanity.
I'm not willing to engage in a discussion, where I defend my guesses and attack your prediction. I don't have sufficient knowledge, nor a desire to do that. My purpose was to ask for any stable basis for AI dev predictions and to point out one possible bias.
I'll use this post to address some of your claims, but don't treat that as argument for when AI would be created:
How are Ray Kurzweil's extrapolations an empiric data? If I'm not wrong, all he takes in account is computational power. Why would that be enough to allow for AI creation? By 1900 world had e...
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.