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 enough resources to create computers and yet it wasn't possible, because the technology wasn't known. By 2029 we may have proper resources (computational power), but still lack knowledge on how to use them (what programs run on that supercomputers).
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.
I'm saying that, I guess, everybody would agree that AI will not arrive in a month. I'm interested on what basis we're making such claim. I'm not trying to make an argument about when will AI arrive, I'm genuinely asking.
You're right about comforting factor of AI coming soon, I haven't thought of that. But still, developement of AI in near future would probably mean that its creators haven't solved the friendliness problem. Current methods are very black-box. More than that, I'm a bit concerned about current morality and governement control. I'm a bit scared, what may people of today do with such power. You don't like gay marriage? AI can probably "solve" that for you. Or maybe you want financial equality of humanity? Same story. I would agree though that it's hard to tell where would our preferences point to.
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.
Are you taking in account that to this day we don't truly understand biological mechanism of memory forming and developement of neuron connections? Can you point me to any predictions made by brain researchers about when we may expect technology allowing for full scan of human connectome and how close are we to understanding brain dynamics? (Creating of new synapses, control of their strenght, etc.)
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.
I'm tempted to call that bollocks. Would you expect a FOOM, if you'd give to a said scientist a machine telling him which neurons are connected and allowing to manipulate them? Humans can't even understand nematoda's neural network. You expect them to understand whole 100 billion human brain?
Sorry for the above, it would need a much longer discussion, but I really don't have strength for that.
I hope it would be in any way helpful.
I'm tempted to call that bollocks. Would you expect a FOOM, if you'd give to a said scientist a machine telling him which neurons are connected and allowing to manipulate them?
Don't underestimate the rapid progress that can be achieved with very short feedback loops. (In this case, probably rapid progress into a wireheading attractor, but still.)
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.