At what point is human intelligence going to hold back machine intelligence?
Imagine you are evaluating what the machine should do when it is improving itself. It does a bunch of work and returns with "I supervaluated the liminal overdecomposition from the previous homological calibulation pass. It shows us that subtransitory mulutination will underspecify the tensor of stermullification. Where do you want to go from here?"
It will be like when you are reading a Wikipedia about a topic you don't understand. You follow the links, and you get more questions with more links. Your whole day is taken up following links, to the point where you forgot the original question.
Except this time, all the words come from the AI's work. You can't refer to an external authority who has already been there and can tell you what to do.
The AI needs you to tell it whether it is more intelligent than it was before, but you don't know, because you can't follow its reasoning any more. It's like an ordinary person trying to hire a math professor, there's just no way to do it.
But whereas a human math prof can evaluate another one, a machine intelligence can't evaluate another one, by construction. Because it's still usefulness to humans that is the evaluation criterion.
> Imagine you are evaluating what the machine should do when it is improving itself. It does a bunch of work and returns with "... Where do you want to go from here?"
It's worth pointing out that so many people already see and use AI the same way. In such a situation some would ask AI to provide options, and they would choose and experiment with those options. Of course, contexts/stakes can be vastly different.
Given that there are so many phenomena in nature that we can't explain or fully understand which doesn't prevent them from existing or being useful, there could be a future where humans accept the same about the things AI comes up with as long as this leads to desired outcomes. We still might have names for them, but our brain thinking/knowledge capacity wouldn't allow us to fully comprehend them. We'd need frameworks/systems in place to turn these AI features/decisions on/off, although it's hard to imagine how this wouldn't increase the likelihood of something going out of control.
lordnacho · · focus · HN ↗
Imagine you are evaluating what the machine should do when it is improving itself. It does a bunch of work and returns with "I supervaluated the liminal overdecomposition from the previous homological calibulation pass. It shows us that subtransitory mulutination will underspecify the tensor of stermullification. Where do you want to go from here?"
It will be like when you are reading a Wikipedia about a topic you don't understand. You follow the links, and you get more questions with more links. Your whole day is taken up following links, to the point where you forgot the original question.
Except this time, all the words come from the AI's work. You can't refer to an external authority who has already been there and can tell you what to do.
The AI needs you to tell it whether it is more intelligent than it was before, but you don't know, because you can't follow its reasoning any more. It's like an ordinary person trying to hire a math professor, there's just no way to do it.
But whereas a human math prof can evaluate another one, a machine intelligence can't evaluate another one, by construction. Because it's still usefulness to humans that is the evaluation criterion.
rpozarickij · · focus · HN ↗
It's worth pointing out that so many people already see and use AI the same way. In such a situation some would ask AI to provide options, and they would choose and experiment with those options. Of course, contexts/stakes can be vastly different.
Given that there are so many phenomena in nature that we can't explain or fully understand which doesn't prevent them from existing or being useful, there could be a future where humans accept the same about the things AI comes up with as long as this leads to desired outcomes. We still might have names for them, but our brain thinking/knowledge capacity wouldn't allow us to fully comprehend them. We'd need frameworks/systems in place to turn these AI features/decisions on/off, although it's hard to imagine how this wouldn't increase the likelihood of something going out of control.