Comment by slashdave
2 years ago
Since no one knows how to build an AGI, hard to say. But you might imagine that more restricted goals could end up being easier to accomplish. A "safe" AGI is more focused on doing something useful than figuring out how to take over the world and murder all the humans.
Hinton's point does make sense though.
Even if you focus an AGI on producing more cars for example, it will quickly realize that if it has more power and resources it can make more cars.
Assuming AGI works like a braindead consulting firm, maybe. But if it worked like existing statistical tooling (which it does, today, because for an actual data scientist and not aunt cathy prompting bing, using ml is no different than using any other statistics when you are writing your python or R scripts up), you could probably generate some fancy charts that show some distributions of cars produced under different scenarios with fixed resource or power limits.
In a sense this is what is already done and why ai hasn't really made the inroads people think it will even if you can ask google questions now. For the data scientists, the black magicians of the ai age, this spell is no more powerful than other spells, many of which (including ml) were created by powerful magicians from the early 1900s.