Dear gwern, it all depends on how you define intelligence.
Google translate knows lots of languages. Goggle is a great information resource. Watson (the AI) appears to be educated, perhaps Watson could pass many exams, but Google and Watson are not intelligent.
Regarding the few people who are rocket scientists I wonder if the truly rare geniuses, the truly intelligent people, are less likely to be violent?
Few people are. Officers can be quite intelligent and well-educated people. The military academies are some of the best educational institutions around, with selection standards more comparable to Harvard than community college. In one of my own communities, Haskell programmers, the top purely functional data structure guys, Okasaki, is a West Point instructor.
Officers in the army are actually very dim despite being "well-educated".
I wasn't trying to troll you regarding the term "Grunt" I was merely spelling out clearly the meaning behind the term, it (Grunt) is an insult to the intelligence of the solider, perhaps made because someone who thinks it is intelligent to join the army (being violent) is a dumb human only capable of grunting.
Maybe it is intelligent to be cannon fodder, but like I say it all depends on how you define intelligence. http://en.wikipedia.org/wiki/Cannon_fodder
Regarding the few people who are rocket scientists I wonder if the truly rare geniuses, the truly intelligent people, are less likely to be violent?
I wonder too. But I have no actual facts. Do you have any?
Officers in the army are actually very dim despite being "well-educated".
Do you have evidence of this assertion?
someone who thinks it is intelligent to join the army (being violent) is a dumb human only capable of grunting.
Do you have evidence of this?
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.