Whether we should do otherwise-obviously-suboptimal things solely because it'd result in more jobs is a question that long predates self-driving cars...
Well, I want to end up in the future where humans don't have to labor to survive, so I'm all for automating more and more jobs away. But in order to end up in that future, the benefits of automation have to also accrue to the displaced workers. Otherwise you end up with a shrinking productive class, a teeny-tiny owner class, and a rapidly growing unemployable class — who literally can't learn a new trade fast enough to work at it before it is automated away by accelerating AI deployment.
As far as I can tell, the only serious proposal that might make the tr...
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.