Which is why reinforcement learning is so popular, yes
There’s the AIs that solve novel problems along the lines of “design a better airplane wing” or “route a microchip”, and in that field, reinforcement learning of how basic physics works is pretty much one hundred percent irrelevant.
You are completely missing the point. If we’re all going to agree that AI is possible, and agree that there’s a completely crappy but genuinely existent example of AGI right now, then it follows that getting AI up to dangerous and/or beneficial levels is a matter of additional engineering progress
Slow, long term progress, an entire succession of technologies.
Really, you’re just like free energy pseudoscientists. They do all the same things. Ohh, you don’t want to give money for cold fusion? You must be a global warming denialist. That’s the way they think and that’s precisely the way you think about the issue. That you can make literally cold fusion happen with muons in no way shape or form supports what the cold fusion crackpots are doing. Nor does it make cold fusion power plants any more or less a matter of “additional engineering progress” than it would be otherwise.
edit: by same logic, resurrection of the long-dead never-preserved is merely a matter of “additional engineering progress”. Because you can resurrect the dead using this exact same programming construct that AIXI uses to solve problems. It’s called a “for loop”, there’s this for loop in monte carlo aixi. This loop goes over every possible [thing] when you have no clue what so ever how to actually produce [thing] . Thing = action sequence for AIXI and the brain data for resurrection of the dead.
Slow, long term progress, an entire succession of technologies.
Ok, hold on, halt, major question: how closely do you follow the field of machine learning? And computational cognitive science?
Because on the one hand, there is very significant progress being made. On the other hand, when I say “additional engineering progress”, that involves anywhere from years to decades of work before being able to make an agent that can compose an essay, due to the fact that we need classes of learners capable of inducing fairly precise hypotheses over large spaces of possible programs.
What it doesn’t involve is solving intractable, magical-seeming philosophical problems like the nature of “intelligence” or “consciousness” that have always held the field of AI back.
edit: by same logic, resurrection of the long-dead never-preserved is merely a matter of “additional engineering progress”.
No, that’s just plain impossible. Even in the case of cryonic so-called “preservation”, we don’t know what we don’t know about what information we will have needed preserved to restore someone.
Ok, hold on, halt, major question: how closely do you follow the field of machine learning? And computational cognitive science?
(makes the gesture with the hands) Thiiiiis closely. Seriously though, not far enough as to start claiming that mc-AIXI does something interesting when run on a server with root access, or to claim that it would be superhuman if run on all computers we got, or the like.
No, that’s just plain impossible.
Do I need to write code for that and put it on github? Iterates over every possible brain (represented as, say, a Turing machine), runs it for enough timesteps. Requires too much computing power.
Tell me, if I signed up as the PhD student of one among certain major general machine learning researchers, and built out their ideas into agent models, and got one of those running on a server cluster showing interesting proto-human behaviors, might it interest you?
There’s the AIs that solve novel problems along the lines of “design a better airplane wing” or “route a microchip”, and in that field, reinforcement learning of how basic physics works is pretty much one hundred percent irrelevant.
Slow, long term progress, an entire succession of technologies.
Really, you’re just like free energy pseudoscientists. They do all the same things. Ohh, you don’t want to give money for cold fusion? You must be a global warming denialist. That’s the way they think and that’s precisely the way you think about the issue. That you can make literally cold fusion happen with muons in no way shape or form supports what the cold fusion crackpots are doing. Nor does it make cold fusion power plants any more or less a matter of “additional engineering progress” than it would be otherwise.
edit: by same logic, resurrection of the long-dead never-preserved is merely a matter of “additional engineering progress”. Because you can resurrect the dead using this exact same programming construct that AIXI uses to solve problems. It’s called a “for loop”, there’s this for loop in monte carlo aixi. This loop goes over every possible [thing] when you have no clue what so ever how to actually produce [thing] . Thing = action sequence for AIXI and the brain data for resurrection of the dead.
Ok, hold on, halt, major question: how closely do you follow the field of machine learning? And computational cognitive science?
Because on the one hand, there is very significant progress being made. On the other hand, when I say “additional engineering progress”, that involves anywhere from years to decades of work before being able to make an agent that can compose an essay, due to the fact that we need classes of learners capable of inducing fairly precise hypotheses over large spaces of possible programs.
What it doesn’t involve is solving intractable, magical-seeming philosophical problems like the nature of “intelligence” or “consciousness” that have always held the field of AI back.
No, that’s just plain impossible. Even in the case of cryonic so-called “preservation”, we don’t know what we don’t know about what information we will have needed preserved to restore someone.
(makes the gesture with the hands) Thiiiiis closely. Seriously though, not far enough as to start claiming that mc-AIXI does something interesting when run on a server with root access, or to claim that it would be superhuman if run on all computers we got, or the like.
Do I need to write code for that and put it on github? Iterates over every possible brain (represented as, say, a Turing machine), runs it for enough timesteps. Requires too much computing power.
Tell me, if I signed up as the PhD student of one among certain major general machine learning researchers, and built out their ideas into agent models, and got one of those running on a server cluster showing interesting proto-human behaviors, might it interest you?