I seem to have explained myself poorly. You are effectively restating the commonly held (on LessWrong) views that I was attempting to originally address, so I will try to be more clear.
I don't understand why you would use a particular fixed standard for "human level". It seems to be arbitrary, and it would be more sensible to use the level of human at the time when a given AGI was developed. You yourself say as much in your second paragraph ("more capable than its creators at the time of its inception"). Since IA rate determines the capabilities of the AIs creators, then a faster rate of IA than AI would mean that the event of a more capable AGI would never occur.
If a self-modifying AGI is less capable than its creators at the time of its inception, then it will be unable to FOOM, from the perspective of its creators, both because they would be able to develop a better AI in a shorter time than an AI could improve itself, and because if they were developing IA at a greater pace they would advance faster than the AGI that they had developed. Given the same intelligence and rate of work, an easier problem will see more progress. Therefore, if IA is given equal or greater rate of work than AI, and it happens to be an easier problem, then humans would FOOM before AI did. A FOOM doesn't feel like a FOOM from the perspective of the one experiencing it though.
Your final point makes sense, in that it address the point that the probability of the first fast takeoff being in the AI field may be larger than the IA field, or in that AI is an easier problem. I fail to see why a software problem is inherently easier than a biology or engineering problem though. A fundamental breakthrough in software is just as unlikely as a hardware, and there are more paths to success for IA than AI that are currently being pursued, only one of which is a man-machine interface.
I considered being a bit snarky and posting each of your statements as direct opposites (IE all that matters is if a self modifying human becomes more capable than an AI at the time of its augmentation), but I feel like that would convey the wrong message. The dismissive response genuinely confuses me, but I'm making the assumption that my poor organization has made my point too vague.
It's not an arbitrary reference point. For a singularity/AI-goes-FOOM event to occur, it needs to have sufficient intelligence and capability to modify itself in a recursive self-improvement process. A chimpanzee is not smart enough to do this. We've posited that at least some human beings are capable of creating a more powerful intelligence either though AGI or IA. Therefore the important cutoff where a FOOM event becomes possible is somewhere in-between those two reference levels (the chimpanzee and the circa 2013 rationalist AGI/IA researcher).
Despite m...
Part of the series AI Risk and Opportunity: A Strategic Analaysis. Previous articles on this topic: Some Thoughts on Singularity Strategies, Intelligence enhancement as existential risk mitigation, Outline of possible Singularity scenarios that are not completely disastrous.
Below are my quickly-sketched thoughts on intelligence amplification and FAI, without much effort put into organization or clarity, and without many references.[1] But first, I briefly review some strategies for increasing the odds of FAI, one of which is to work on intelligence amplification (IA).
Some possible “best current options” for increasing the odds of FAI
Suppose you find yourself in a pre-AGI world,[2] and you’ve been convinced that the status quo world is unstable, and within the next couple centuries we’ll likely[3] settle into one of four stable outcomes: FAI, uFAI, non-AI extinction, or a sufficiently powerful global government which can prevent AGI development[4]. And you totally prefer the FAI option. What should you do to get there?
The IA route
Below are some key considerations about the IA route. I’ve numbered them so they’re easy to refer to later. My discussion assumes MIRI’s basic assumptions, including timelines similar to my own AGI timelines.
Below are my thoughts about all this. These are only my current views: other MIRI personnel (including Eliezer) disagree with some of the points below, and I wouldn’t be surprised to change my mind about some of these things after extended discussion (hopefully in public, on Less Wrong).
I doubt (1) is true. I think IQ 130–170 humans could figure out FAI in 50–150 years if they were trying to solve the right problems, and if FAI development wasn’t in a death race with the strictly easier problem of uFAI. If normal smart humans aren’t capable of building FAI in that timeframe, that’s probably for lack of rationality and philosophical skill, not for lack of IQ. And I’m not confident that rationality and philosophical skill predictably improve with IQ after about IQ 140. It’s a good sign that atheism increases with IQ after IQ 140, but on the other hand I know too many high-IQ people who think that (e.g.) an AI that maximizes K-complexity is a win, and also there’s Stanovich’s research on how IQ and rationality come apart. For these reasons, I’m also not convinced (4) would be a large positive effect on our FAI chances.
Can we train people in rationality and philosophical skill beyond that of say, the 95th percentile Less Wronger? CFAR has plans to find out, but they need to grow a lot first to execute such an ambitious research program.
(2) looks awfully hard, unless we can find a powerful IA technique that also, say, gives you a 10% chance of cancer. Then some EAs devoted to building FAI might just use the technique, and maybe the AI community in general doesn’t.
(5) seems right, though I doubt it’ll be a big enough effect to make a difference for the final outcome.
I think (3) is the dominant consideration here, along with the worry about lacking the philosophical skill (but not IQ) to build FAI at all. At the moment, I (sadly) lean toward the view that slower Earths have a better chance at FAI. (Much of my brain doesn’t know this, though: I remember reading the Summers news with glee, and then remembering that on my current model this was actually bad news for FAI.)
I could say more, but I’ll stop for now and see what comes up in discussion.
My thanks to Justin Shovelain for sending me his old notes on the “IA first” case, and to Wei Dai, Carl Shulman, and Eliezer Yudkowsky for their feedback on this post. ↩
Not counting civilizations that might be simulating our world. This matters, but I won’t analyze that here. ↩
There are other possibilities. For example, there could be a global nuclear war that kills all but about 100,000 people, which could set back social, economic, and technological progress by centuries, thus delaying the crucial point in Earth’s history in which it settles into one of the four stable outcomes. ↩
And perhaps also advanced nanotechnology, intelligence amplification technologies, and whole brain emulation. ↩
Thanks to Carl Shulman for making this point. ↩