“This also implies that every trick you manage to come up with, as to how to get a C compiler adjacent superintelligence to act more human, is not going to work, because the other party isn’t C compiler adjacent. Until we have a much better understanding of how to code efficiently, all such efforts are at best wasted, and likely counterproductive.”
Not necessarily. Even the first steps on older science were important to the science of today. Science happens through building blocks of paradigms. Plus, there are mathematical and logical notions which are simply fundamental and worth investigating, like decision theory.
“Humans have certain powers and abilities as per human nature. Math isn’t one of them. I state that trying to solve our problems with math is already a mistake, because we suck at math. What humans are good at is image recognition. We should solve our problems by “looking” at them.”
Ok, sorry, but here you just fall into plain absurdity. Of course it would be great just to look at things and “get” them! Unfortunately, the language of computers, and of most science, is math. Should we perhaps drop all math in physics and just start “looking” instead? Please don’t actually say yes...
(To clarify, I’m not devaluing the value of “looking”, aka philosophy/rationality. Even in this specific problem of AI alignment. But to completely discard math is just absurd. Because, unfortunately, it’s the only road towards certain problems (needless to say there would be no computers without math, for instance)).
Ps: 2 very important things I forgot to touch.
“This also implies that every trick you manage to come up with, as to how to get a C compiler adjacent superintelligence to act more human, is not going to work, because the other party isn’t C compiler adjacent. Until we have a much better understanding of how to code efficiently, all such efforts are at best wasted, and likely counterproductive.”
Not necessarily. Even the first steps on older science were important to the science of today. Science happens through building blocks of paradigms. Plus, there are mathematical and logical notions which are simply fundamental and worth investigating, like decision theory.
“Humans have certain powers and abilities as per human nature. Math isn’t one of them. I state that trying to solve our problems with math is already a mistake, because we suck at math. What humans are good at is image recognition. We should solve our problems by “looking” at them.”
Ok, sorry, but here you just fall into plain absurdity. Of course it would be great just to look at things and “get” them! Unfortunately, the language of computers, and of most science, is math. Should we perhaps drop all math in physics and just start “looking” instead? Please don’t actually say yes...
(To clarify, I’m not devaluing the value of “looking”, aka philosophy/rationality. Even in this specific problem of AI alignment. But to completely discard math is just absurd. Because, unfortunately, it’s the only road towards certain problems (needless to say there would be no computers without math, for instance)).