The same action can make immediate risk worse, but probability of eventually winning higher.
Near/Far. Long-term effects aren't predictable and shouldn't be traded for more predictable short-term losses. In my experience it fails the Predictable Retrospective Stupidity test. Even when you try to factor in structural uncertainty, you still end up getting burned. And even if you still want to make such a tradeoff then you should halt all research until you've come to agreement or a natural stopping point with Wei Dai or others who have reservations. Stop, melt, catch fire, don't destroy the world.
(Disclaimer: This comment is fueled by a strong emotional reaction due to contingent personal details that might or might not upon further reflection deserve to be treated as substantial evidence for the policy I recommend.)
Just to make clear what specific idea this is about: Wei points out that researching FAI might increase UFAI risk, and suggests that therefore FAI shouldn't be researched. My reply is to the effect that while FAI research might increase UFAI risk within any given number of years, it also decreases the risk of never solving FAI (which IIRC I put at something like 95% if we research it pre-WBE, and 97% if we don't).
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.