There seems to be a tradeoff here. An open project has more chances to develop the necessary theory faster, but having such project in the open looks like a clearly bad idea towards the endgame. So on one hand, an open project shouldn't be cultivated (and becomes harder to hinder) as we get closer to the endgame, but on the other, a closed project will probably not get off the ground, and fueling it by an initial open effort is one way to make it stronger. So there's probably some optimal point to stop encouraging open development, and given the current state of the theory (nil) I believe the time hasn't come yet.
The open effort could help the subsequent closed project in two related ways: gauge the point where the understanding of what to actually do in the closed project is sufficiently clear (for some sense of "sufficiently"), and form enough of background theory to be able to convince enough young Conways (with necessary training) to work on the problem on the closed stage.
So there's probably some optimal point to stop encouraging open development, and given the current state of the theory (nil) I believe the time hasn't come yet.
Your argument seems premised on the assumption that there will be an endgame. If we assume some large probability that we end up deciding not to have an endgame at all (i.e., not to try to actually build FAI with unenhanced humans), then it's no longer clear "the time hasn't come yet".
Even if we assume that with probability ~1 there will be an effort to directly build FAI, given the sli...
Suppose you buy the argument that humanity faces both the risk of AI-caused extinction and the opportunity to shape an AI-built utopia. What should we do about that? As Wei Dai asks, "In what direction should we nudge the future, to maximize the chances and impact of a positive intelligence explosion?"
This post serves as a table of contents and an introduction for an ongoing strategic analysis of AI risk and opportunity.
Contents:
Why discuss AI safety strategy?
The main reason to discuss AI safety strategy is, of course, to draw on a wide spectrum of human expertise and processing power to clarify our understanding of the factors at play and the expected value of particular interventions we could invest in: raising awareness of safety concerns, forming a Friendly AI team, differential technological development, investigating AGI confinement methods, and others.
Discussing AI safety strategy is also a challenging exercise in applied rationality. The relevant issues are complex and uncertain, but we need to take advantage of the fact that rationality is faster than science: we can't "try" a bunch of intelligence explosions and see which one works best. We'll have to predict in advance how the future will develop and what we can do about it.
Core readings
Before engaging with this series, I recommend you read at least the following articles:
Example questions
Which strategic questions would we like to answer? Muehlhauser (2011) elaborates on the following questions:
Salamon & Muehlhauser (2013) list several other questions gathered from the participants of a workshop following Singularity Summit 2011, including:
These are the kinds of questions we will be tackling in this series of posts for Less Wrong Discussion, in order to improve our predictions about which direction we can nudge the future to maximize the chances of a positive intelligence explosion.