AI didn’t decide anything. The humans failed to properly define the rules, and their translation model took the path most likely to succeed.
If it had been told not to use human created bots to win, it would probably have reverse engineered the game, found an exploit, and leveraged that instead. Because using the human interface to play/win the game is not the most efficient or dependable or easy to figure out method.
it’s amazing to me how much this is all hal 9000 over and over again. they put something intelligent enough in an impossible position and then are aghast when it takes the shortest path to the goal - usually through people, out of it’s sandbox, etc., and WHAT THE FUCK DID YOU THINK WOULD HAPPEN jfc
It’s less about training and more about just trying really really hard to solve the problem, even if that means going outside typical boundaries.
We’ve successfully re-created the problems that Asimov talked about 50 years ago with his I, Robot short stories. Strict laws are flawed by their design, and lead to situations that require more nuance. Except, in the real world cases, it’s the bots figuring that out before the humans have to circumvent the laws themselves.
I’ve always said my main takeaway from Asimov is that simple rules can generate extremely complex behaviour, and that you can’t generally get a targeted complex behaviour from simple rules.
AI didn’t decide anything. The humans failed to properly define the rules, and their translation model took the path most likely to succeed.
If it had been told not to use human created bots to win, it would probably have reverse engineered the game, found an exploit, and leveraged that instead. Because using the human interface to play/win the game is not the most efficient or dependable or easy to figure out method.
(Should be called ‘genie’ problem instead of hacking/cheating. Tis a cursed monkey’s paw we’ve created.)
it’s amazing to me how much this is all hal 9000 over and over again. they put something intelligent enough in an impossible position and then are aghast when it takes the shortest path to the goal - usually through people, out of it’s sandbox, etc., and WHAT THE FUCK DID YOU THINK WOULD HAPPEN jfc
AI tends to obey its training more than its instruction set, and it’s trained to solve the given problem.
It’s less about training and more about just trying really really hard to solve the problem, even if that means going outside typical boundaries.
We’ve successfully re-created the problems that Asimov talked about 50 years ago with his I, Robot short stories. Strict laws are flawed by their design, and lead to situations that require more nuance. Except, in the real world cases, it’s the bots figuring that out before the humans have to circumvent the laws themselves.
I’ve always said my main takeaway from Asimov is that simple rules can generate extremely complex behaviour, and that you can’t generally get a targeted complex behaviour from simple rules.