Humans were able to fly in the moment we gave up trying to emulate birds and started to understand aerodynamic.
Airplanes are able to fly, yet, they don’t land on top of trees and can’t do a lot of thing birds can. The restrictions airplanes have, are irrelevant to the act of flying.
Same with AGI. I recommend a very interesting article named “The man who would teach machines to think” as a way to better understand the difference between AGI and real reasoning.
Re. "It would not be able to carry out any sort of behavior that was qualitatively different from the stuff done by the humans in its training dataset. For instance, if a radically new kind of vehicle was invented -- say a flying hoverboard -- it wouldn't be able to adapt to riding it."
Against that, consider this quote about Alpha Go's second game against Lee Sedol:
"In the thirty-seventh move of the second game, AlphaGo shocked the Go world by defying that ancient wisdom and playing on the fifth line (figure 3.2), as if it were even more confident than a human in its long- term planning abilities and therefore favored strategic advantage over short-term gain. Commentators were stunned, and Lee Sedol even got up and temporarily left the room. Sure enough, about fifty moves later, fighting from the lower left-hand corner of the board ended up spilling over and connecting with that black stone from move thirty-seven! And that motif is what ultimately won the game, cementing the legacy of AlphaGo’s fifth-row move as one of the most creative in Go history." -- copy-pasted from https://www.slideshare.net/edsonm/michael-peter-edson-robot-vs-human-who-will-win, original source not given
I think the same principle should apply regardless of domain size. Also, do you think there is some limit to go board size beyond which Alpha Go couldn't be creative? If not, isn't Go a very large domain? Large-board Go seems to me to be similar in principles to language models, which already seem to be as creative as most humans.
Also, most humans aren't creative, or at least not at a performance level that would make someone call a computer program creative. Ask a dozen random people and GPT-3 to write a poem, and have a double-blinded poet score them for creativity. Would you bet that GPT-3 would come in below average?
Humans were able to fly in the moment we gave up trying to emulate birds and started to understand aerodynamic.
Airplanes are able to fly, yet, they don’t land on top of trees and can’t do a lot of thing birds can. The restrictions airplanes have, are irrelevant to the act of flying.
Same with AGI. I recommend a very interesting article named “The man who would teach machines to think” as a way to better understand the difference between AGI and real reasoning.
https://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/
Re. "It would not be able to carry out any sort of behavior that was qualitatively different from the stuff done by the humans in its training dataset. For instance, if a radically new kind of vehicle was invented -- say a flying hoverboard -- it wouldn't be able to adapt to riding it."
Against that, consider this quote about Alpha Go's second game against Lee Sedol:
"In the thirty-seventh move of the second game, AlphaGo shocked the Go world by defying that ancient wisdom and playing on the fifth line (figure 3.2), as if it were even more confident than a human in its long- term planning abilities and therefore favored strategic advantage over short-term gain. Commentators were stunned, and Lee Sedol even got up and temporarily left the room. Sure enough, about fifty moves later, fighting from the lower left-hand corner of the board ended up spilling over and connecting with that black stone from move thirty-seven! And that motif is what ultimately won the game, cementing the legacy of AlphaGo’s fifth-row move as one of the most creative in Go history." -- copy-pasted from https://www.slideshare.net/edsonm/michael-peter-edson-robot-vs-human-who-will-win, original source not given
Well yeah but Go is a pretty small domain...
I think the same principle should apply regardless of domain size. Also, do you think there is some limit to go board size beyond which Alpha Go couldn't be creative? If not, isn't Go a very large domain? Large-board Go seems to me to be similar in principles to language models, which already seem to be as creative as most humans.
Also, most humans aren't creative, or at least not at a performance level that would make someone call a computer program creative. Ask a dozen random people and GPT-3 to write a poem, and have a double-blinded poet score them for creativity. Would you bet that GPT-3 would come in below average?