The reason for expanding a narrow AI is the same for a tool agent not staying restricted; the narrow domain they are designed to function in is embedded in the complexity of the real world. Eventually someone is going to realize that the agent/AI can provide better service if they understand more about how their jobs fit into the broader concerns of their passengers/users/customers and decide to do something about it.
AIXI is able to be widely applicable because it tries to model every possible program that the universe could be running, and then it eventually starts finding programs that fit.
Driverless cars may start containing modeling things other than driving, and may even start trying to predict where their users are going to be, but I suspect that it would try and just track user habits or their smartphones, rather than trying to figure out their owner's economic and psychological incentives for going to different places.
Trying to build a car that's generally capa...
I know people have talked about this in the past, but now seems like an important time for some practical brainstorming here. Hypothetical: the recent $15mm Series A funding of Vicarious by Good Ventures and Founders Fund sets off a wave of $450mm in funded AGI projects of approximately the same scope, over the next ten years. Let's estimate a third of that goes to paying for man-years of actual, low-level, basic AGI capabilities research. That's about 1500 man-years. Anything which can show something resembling progress can easily secure another few hundred man-years to continue making progress.
Now, if this scenario comes to pass, it seems like one of the worst-case scenarios -- if AGI is possible today, that's a lot of highly incentivized, funded research to make it happen, without strong safety incentives. It seems to depend on VCs realizing the high potential impact of an AGI project, and of the companies having access to good researchers.
The Hacker News thread suggests that some people (VCs included) probably already realize the high potential impact, without much consideration for safety:
Is there any way to reverse this trend in public perception? Is there any way to reduce the number of capable researchers? Are there any other angles of attack for this problem?
I'll admit to being very scared.