Is AlphaZero an example of an AGI?











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From DeepMind's research paper on arxiv.org:




In this paper, we apply a similar but fully generic algorithm, which
we call AlphaZero, to the games of chess and shogi as well as Go,
without any additional domain knowledge except the rules of the game,
demonstrating that a general-purpose reinforcement learning algorithm
can achieve, tabula rasa, superhuman performance across many
challenging domains.




Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?










share|improve this question




























    up vote
    6
    down vote

    favorite
    1












    From DeepMind's research paper on arxiv.org:




    In this paper, we apply a similar but fully generic algorithm, which
    we call AlphaZero, to the games of chess and shogi as well as Go,
    without any additional domain knowledge except the rules of the game,
    demonstrating that a general-purpose reinforcement learning algorithm
    can achieve, tabula rasa, superhuman performance across many
    challenging domains.




    Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?










    share|improve this question


























      up vote
      6
      down vote

      favorite
      1









      up vote
      6
      down vote

      favorite
      1






      1





      From DeepMind's research paper on arxiv.org:




      In this paper, we apply a similar but fully generic algorithm, which
      we call AlphaZero, to the games of chess and shogi as well as Go,
      without any additional domain knowledge except the rules of the game,
      demonstrating that a general-purpose reinforcement learning algorithm
      can achieve, tabula rasa, superhuman performance across many
      challenging domains.




      Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?










      share|improve this question















      From DeepMind's research paper on arxiv.org:




      In this paper, we apply a similar but fully generic algorithm, which
      we call AlphaZero, to the games of chess and shogi as well as Go,
      without any additional domain knowledge except the rules of the game,
      demonstrating that a general-purpose reinforcement learning algorithm
      can achieve, tabula rasa, superhuman performance across many
      challenging domains.




      Does this mean AlphaZero is an example of AGI (Artificial General Intelligence)?







      game-ai definitions agi alphago






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited yesterday









      quintumnia

      1,0221625




      1,0221625










      asked Nov 26 at 0:42









      Thomas

      1612




      1612






















          2 Answers
          2






          active

          oldest

          votes

















          up vote
          7
          down vote













          Good question!




          • AlphaZero, though a major milestone, is most definitely not an AGI :)


          AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)




          • AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.


          AGI is often associated with superintelligence, defined as intelligence that surpasses human levels.



          AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an Artificial General Intelligence.



          But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.






          share|improve this answer






























            up vote
            1
            down vote













            Assumptions That May Be Incorrect



            There are two assumptions identifiable in the tone of the paper.




            • All mental challenges can be reduced to a game with fixed rules.

            • Machines better than humans are what humans really want or need.


            There is another two identifiable in the question.




            • General intelligence exists in humans1

            • If it exists in humans, it is therefore feasible in computers.


            All four may be true, but none of the four are certain.



            Productivity of AlphaZero



            If our chess board is on the game shelf in our closet, our grass is long, and our lawnmower is broken, AlphaZero, if connected to a humanoid robot, would have no game rules encoded for the task sequence.




            • Listening to its owner's request,

            • Learning how to puppet-master the robot,

            • Locating and identifying all our tools and spare parts,

            • Fixing the lawnmower, and

            • Letting us know the lawnmower is ready to use.


            Therefore it is of no particular consumer value to us in that scenario. Not very general.



            Even if it could mow the lawn with an already working lawnmower, it would be of value, which doesn't require the ability to win anything but rather the ability to obey and exhibit the subhuman intelligence required to not run over the flower bed.



            That the smart people of DeepMind chose to use the Latin tabula rasa rather than blank slate is notable, but not nearly as impressive as constructing a learning program that can learn to plays three games well with only the rules encoded and actual game play as input.



            To consider these game programs truly useful in a product space, one cannot rely on a sustained interest in buying software that beats the buyer every time. For AI products to be viable, the learning features must be capable of what is colloquially called common sense, which requires a much wider and flexible domain knowledge than the fixed rules of a game. We can guess that most researchers that have accomplished milestones in winning game play learning are pushing in that direction. They too know their research output must eventually be productized or lead to a purchasable SaaS offering.



            What would be impressive to those outside the field is if these advancements can be redirected, in the data center space, to generate remedial gene therapies to cure cancer or herpes or reverse diabetes or Alzheimer's. Then we could forgive researchers for not providing us with a download that could puppet-master a robot to clean our bathroom. It is not clear from the paper that AlphaZero has adequately demonstrated that it exhibits, "Superhuman performance across many challenging domains."



            What they have done is still impressive and along the lines down which others have made progress too. Few of us would dare try to invent a game that these generic game learning programs wouldn't learn fast and defeat us within a few game instances.



            Advances Viewed in Perspective



            Certainly in performing arithmetic, sorting mail, and now game play, the inventions of humanity extend the abilities of the naked human, absent of his tools. That progress places computer systems firmly within the realm of a tool. A back hoe is superhuman in a way too. Try to lay a kilometer of pipe without one.



            Conversely, humanity plays the role of health care provider for computers. If they get sick or fail, we are compelled to expel their viruses and worms or replace their failed parts. Otherwise our homes and businesses fall into disarray.



            Technology, as in all things, should be viewed in perspective.



            It would be prudent for humans to be less enthralled with games and beating one another and more focused on collaborative social behavior directed toward solving social and economic problems with its newly invented tools and doing so in a way that doesn't create new problems or invite new atrocities.





            Footnotes



            That what has been described as general intelligence exists in humans is disputable on the basis of evidence to the contrary. Many would cite these strategies and trends as evidence of limits to human intelligent.




            • Nuclear deterrence as a peace strategy

            • A complete lack of moderation in the consumption of finite, critical natural energy resources

            • Continuously increasing density of addiction patterns globally

            • Causing the sixth mass extinction on earth






            share|improve this answer























            • Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
              – Neil Slater
              Nov 27 at 11:13











            Your Answer





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            2 Answers
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            active

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            2 Answers
            2






            active

            oldest

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            active

            oldest

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            active

            oldest

            votes








            up vote
            7
            down vote













            Good question!




            • AlphaZero, though a major milestone, is most definitely not an AGI :)


            AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)




            • AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.


            AGI is often associated with superintelligence, defined as intelligence that surpasses human levels.



            AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an Artificial General Intelligence.



            But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.






            share|improve this answer



























              up vote
              7
              down vote













              Good question!




              • AlphaZero, though a major milestone, is most definitely not an AGI :)


              AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)




              • AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.


              AGI is often associated with superintelligence, defined as intelligence that surpasses human levels.



              AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an Artificial General Intelligence.



              But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.






              share|improve this answer

























                up vote
                7
                down vote










                up vote
                7
                down vote









                Good question!




                • AlphaZero, though a major milestone, is most definitely not an AGI :)


                AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)




                • AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.


                AGI is often associated with superintelligence, defined as intelligence that surpasses human levels.



                AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an Artificial General Intelligence.



                But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.






                share|improve this answer














                Good question!




                • AlphaZero, though a major milestone, is most definitely not an AGI :)


                AlphaGo, though strong at the game of Go, is narrowly strong ("strong-narrow AI"), defined as strength in a single problem or type of problem (such as Go and other non-chance, perfect information games.)




                • AGI, at minimum, must be about as strong as humans in all problems worked on or solved by humans.


                AGI is often associated with superintelligence, defined as intelligence that surpasses human levels.



                AGI does not necessarily imply super-intelligence, in the sense that we'd consider an android that can perform all human activities with the same capability as humans as an Artificial General Intelligence.



                But technically, AlphaGo is a narrow superintelligence in that it exceeds all human performance in a single problem.







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited 15 hours ago

























                answered Nov 26 at 2:36









                DukeZhou

                3,42621131




                3,42621131
























                    up vote
                    1
                    down vote













                    Assumptions That May Be Incorrect



                    There are two assumptions identifiable in the tone of the paper.




                    • All mental challenges can be reduced to a game with fixed rules.

                    • Machines better than humans are what humans really want or need.


                    There is another two identifiable in the question.




                    • General intelligence exists in humans1

                    • If it exists in humans, it is therefore feasible in computers.


                    All four may be true, but none of the four are certain.



                    Productivity of AlphaZero



                    If our chess board is on the game shelf in our closet, our grass is long, and our lawnmower is broken, AlphaZero, if connected to a humanoid robot, would have no game rules encoded for the task sequence.




                    • Listening to its owner's request,

                    • Learning how to puppet-master the robot,

                    • Locating and identifying all our tools and spare parts,

                    • Fixing the lawnmower, and

                    • Letting us know the lawnmower is ready to use.


                    Therefore it is of no particular consumer value to us in that scenario. Not very general.



                    Even if it could mow the lawn with an already working lawnmower, it would be of value, which doesn't require the ability to win anything but rather the ability to obey and exhibit the subhuman intelligence required to not run over the flower bed.



                    That the smart people of DeepMind chose to use the Latin tabula rasa rather than blank slate is notable, but not nearly as impressive as constructing a learning program that can learn to plays three games well with only the rules encoded and actual game play as input.



                    To consider these game programs truly useful in a product space, one cannot rely on a sustained interest in buying software that beats the buyer every time. For AI products to be viable, the learning features must be capable of what is colloquially called common sense, which requires a much wider and flexible domain knowledge than the fixed rules of a game. We can guess that most researchers that have accomplished milestones in winning game play learning are pushing in that direction. They too know their research output must eventually be productized or lead to a purchasable SaaS offering.



                    What would be impressive to those outside the field is if these advancements can be redirected, in the data center space, to generate remedial gene therapies to cure cancer or herpes or reverse diabetes or Alzheimer's. Then we could forgive researchers for not providing us with a download that could puppet-master a robot to clean our bathroom. It is not clear from the paper that AlphaZero has adequately demonstrated that it exhibits, "Superhuman performance across many challenging domains."



                    What they have done is still impressive and along the lines down which others have made progress too. Few of us would dare try to invent a game that these generic game learning programs wouldn't learn fast and defeat us within a few game instances.



                    Advances Viewed in Perspective



                    Certainly in performing arithmetic, sorting mail, and now game play, the inventions of humanity extend the abilities of the naked human, absent of his tools. That progress places computer systems firmly within the realm of a tool. A back hoe is superhuman in a way too. Try to lay a kilometer of pipe without one.



                    Conversely, humanity plays the role of health care provider for computers. If they get sick or fail, we are compelled to expel their viruses and worms or replace their failed parts. Otherwise our homes and businesses fall into disarray.



                    Technology, as in all things, should be viewed in perspective.



                    It would be prudent for humans to be less enthralled with games and beating one another and more focused on collaborative social behavior directed toward solving social and economic problems with its newly invented tools and doing so in a way that doesn't create new problems or invite new atrocities.





                    Footnotes



                    That what has been described as general intelligence exists in humans is disputable on the basis of evidence to the contrary. Many would cite these strategies and trends as evidence of limits to human intelligent.




                    • Nuclear deterrence as a peace strategy

                    • A complete lack of moderation in the consumption of finite, critical natural energy resources

                    • Continuously increasing density of addiction patterns globally

                    • Causing the sixth mass extinction on earth






                    share|improve this answer























                    • Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
                      – Neil Slater
                      Nov 27 at 11:13















                    up vote
                    1
                    down vote













                    Assumptions That May Be Incorrect



                    There are two assumptions identifiable in the tone of the paper.




                    • All mental challenges can be reduced to a game with fixed rules.

                    • Machines better than humans are what humans really want or need.


                    There is another two identifiable in the question.




                    • General intelligence exists in humans1

                    • If it exists in humans, it is therefore feasible in computers.


                    All four may be true, but none of the four are certain.



                    Productivity of AlphaZero



                    If our chess board is on the game shelf in our closet, our grass is long, and our lawnmower is broken, AlphaZero, if connected to a humanoid robot, would have no game rules encoded for the task sequence.




                    • Listening to its owner's request,

                    • Learning how to puppet-master the robot,

                    • Locating and identifying all our tools and spare parts,

                    • Fixing the lawnmower, and

                    • Letting us know the lawnmower is ready to use.


                    Therefore it is of no particular consumer value to us in that scenario. Not very general.



                    Even if it could mow the lawn with an already working lawnmower, it would be of value, which doesn't require the ability to win anything but rather the ability to obey and exhibit the subhuman intelligence required to not run over the flower bed.



                    That the smart people of DeepMind chose to use the Latin tabula rasa rather than blank slate is notable, but not nearly as impressive as constructing a learning program that can learn to plays three games well with only the rules encoded and actual game play as input.



                    To consider these game programs truly useful in a product space, one cannot rely on a sustained interest in buying software that beats the buyer every time. For AI products to be viable, the learning features must be capable of what is colloquially called common sense, which requires a much wider and flexible domain knowledge than the fixed rules of a game. We can guess that most researchers that have accomplished milestones in winning game play learning are pushing in that direction. They too know their research output must eventually be productized or lead to a purchasable SaaS offering.



                    What would be impressive to those outside the field is if these advancements can be redirected, in the data center space, to generate remedial gene therapies to cure cancer or herpes or reverse diabetes or Alzheimer's. Then we could forgive researchers for not providing us with a download that could puppet-master a robot to clean our bathroom. It is not clear from the paper that AlphaZero has adequately demonstrated that it exhibits, "Superhuman performance across many challenging domains."



                    What they have done is still impressive and along the lines down which others have made progress too. Few of us would dare try to invent a game that these generic game learning programs wouldn't learn fast and defeat us within a few game instances.



                    Advances Viewed in Perspective



                    Certainly in performing arithmetic, sorting mail, and now game play, the inventions of humanity extend the abilities of the naked human, absent of his tools. That progress places computer systems firmly within the realm of a tool. A back hoe is superhuman in a way too. Try to lay a kilometer of pipe without one.



                    Conversely, humanity plays the role of health care provider for computers. If they get sick or fail, we are compelled to expel their viruses and worms or replace their failed parts. Otherwise our homes and businesses fall into disarray.



                    Technology, as in all things, should be viewed in perspective.



                    It would be prudent for humans to be less enthralled with games and beating one another and more focused on collaborative social behavior directed toward solving social and economic problems with its newly invented tools and doing so in a way that doesn't create new problems or invite new atrocities.





                    Footnotes



                    That what has been described as general intelligence exists in humans is disputable on the basis of evidence to the contrary. Many would cite these strategies and trends as evidence of limits to human intelligent.




                    • Nuclear deterrence as a peace strategy

                    • A complete lack of moderation in the consumption of finite, critical natural energy resources

                    • Continuously increasing density of addiction patterns globally

                    • Causing the sixth mass extinction on earth






                    share|improve this answer























                    • Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
                      – Neil Slater
                      Nov 27 at 11:13













                    up vote
                    1
                    down vote










                    up vote
                    1
                    down vote









                    Assumptions That May Be Incorrect



                    There are two assumptions identifiable in the tone of the paper.




                    • All mental challenges can be reduced to a game with fixed rules.

                    • Machines better than humans are what humans really want or need.


                    There is another two identifiable in the question.




                    • General intelligence exists in humans1

                    • If it exists in humans, it is therefore feasible in computers.


                    All four may be true, but none of the four are certain.



                    Productivity of AlphaZero



                    If our chess board is on the game shelf in our closet, our grass is long, and our lawnmower is broken, AlphaZero, if connected to a humanoid robot, would have no game rules encoded for the task sequence.




                    • Listening to its owner's request,

                    • Learning how to puppet-master the robot,

                    • Locating and identifying all our tools and spare parts,

                    • Fixing the lawnmower, and

                    • Letting us know the lawnmower is ready to use.


                    Therefore it is of no particular consumer value to us in that scenario. Not very general.



                    Even if it could mow the lawn with an already working lawnmower, it would be of value, which doesn't require the ability to win anything but rather the ability to obey and exhibit the subhuman intelligence required to not run over the flower bed.



                    That the smart people of DeepMind chose to use the Latin tabula rasa rather than blank slate is notable, but not nearly as impressive as constructing a learning program that can learn to plays three games well with only the rules encoded and actual game play as input.



                    To consider these game programs truly useful in a product space, one cannot rely on a sustained interest in buying software that beats the buyer every time. For AI products to be viable, the learning features must be capable of what is colloquially called common sense, which requires a much wider and flexible domain knowledge than the fixed rules of a game. We can guess that most researchers that have accomplished milestones in winning game play learning are pushing in that direction. They too know their research output must eventually be productized or lead to a purchasable SaaS offering.



                    What would be impressive to those outside the field is if these advancements can be redirected, in the data center space, to generate remedial gene therapies to cure cancer or herpes or reverse diabetes or Alzheimer's. Then we could forgive researchers for not providing us with a download that could puppet-master a robot to clean our bathroom. It is not clear from the paper that AlphaZero has adequately demonstrated that it exhibits, "Superhuman performance across many challenging domains."



                    What they have done is still impressive and along the lines down which others have made progress too. Few of us would dare try to invent a game that these generic game learning programs wouldn't learn fast and defeat us within a few game instances.



                    Advances Viewed in Perspective



                    Certainly in performing arithmetic, sorting mail, and now game play, the inventions of humanity extend the abilities of the naked human, absent of his tools. That progress places computer systems firmly within the realm of a tool. A back hoe is superhuman in a way too. Try to lay a kilometer of pipe without one.



                    Conversely, humanity plays the role of health care provider for computers. If they get sick or fail, we are compelled to expel their viruses and worms or replace their failed parts. Otherwise our homes and businesses fall into disarray.



                    Technology, as in all things, should be viewed in perspective.



                    It would be prudent for humans to be less enthralled with games and beating one another and more focused on collaborative social behavior directed toward solving social and economic problems with its newly invented tools and doing so in a way that doesn't create new problems or invite new atrocities.





                    Footnotes



                    That what has been described as general intelligence exists in humans is disputable on the basis of evidence to the contrary. Many would cite these strategies and trends as evidence of limits to human intelligent.




                    • Nuclear deterrence as a peace strategy

                    • A complete lack of moderation in the consumption of finite, critical natural energy resources

                    • Continuously increasing density of addiction patterns globally

                    • Causing the sixth mass extinction on earth






                    share|improve this answer














                    Assumptions That May Be Incorrect



                    There are two assumptions identifiable in the tone of the paper.




                    • All mental challenges can be reduced to a game with fixed rules.

                    • Machines better than humans are what humans really want or need.


                    There is another two identifiable in the question.




                    • General intelligence exists in humans1

                    • If it exists in humans, it is therefore feasible in computers.


                    All four may be true, but none of the four are certain.



                    Productivity of AlphaZero



                    If our chess board is on the game shelf in our closet, our grass is long, and our lawnmower is broken, AlphaZero, if connected to a humanoid robot, would have no game rules encoded for the task sequence.




                    • Listening to its owner's request,

                    • Learning how to puppet-master the robot,

                    • Locating and identifying all our tools and spare parts,

                    • Fixing the lawnmower, and

                    • Letting us know the lawnmower is ready to use.


                    Therefore it is of no particular consumer value to us in that scenario. Not very general.



                    Even if it could mow the lawn with an already working lawnmower, it would be of value, which doesn't require the ability to win anything but rather the ability to obey and exhibit the subhuman intelligence required to not run over the flower bed.



                    That the smart people of DeepMind chose to use the Latin tabula rasa rather than blank slate is notable, but not nearly as impressive as constructing a learning program that can learn to plays three games well with only the rules encoded and actual game play as input.



                    To consider these game programs truly useful in a product space, one cannot rely on a sustained interest in buying software that beats the buyer every time. For AI products to be viable, the learning features must be capable of what is colloquially called common sense, which requires a much wider and flexible domain knowledge than the fixed rules of a game. We can guess that most researchers that have accomplished milestones in winning game play learning are pushing in that direction. They too know their research output must eventually be productized or lead to a purchasable SaaS offering.



                    What would be impressive to those outside the field is if these advancements can be redirected, in the data center space, to generate remedial gene therapies to cure cancer or herpes or reverse diabetes or Alzheimer's. Then we could forgive researchers for not providing us with a download that could puppet-master a robot to clean our bathroom. It is not clear from the paper that AlphaZero has adequately demonstrated that it exhibits, "Superhuman performance across many challenging domains."



                    What they have done is still impressive and along the lines down which others have made progress too. Few of us would dare try to invent a game that these generic game learning programs wouldn't learn fast and defeat us within a few game instances.



                    Advances Viewed in Perspective



                    Certainly in performing arithmetic, sorting mail, and now game play, the inventions of humanity extend the abilities of the naked human, absent of his tools. That progress places computer systems firmly within the realm of a tool. A back hoe is superhuman in a way too. Try to lay a kilometer of pipe without one.



                    Conversely, humanity plays the role of health care provider for computers. If they get sick or fail, we are compelled to expel their viruses and worms or replace their failed parts. Otherwise our homes and businesses fall into disarray.



                    Technology, as in all things, should be viewed in perspective.



                    It would be prudent for humans to be less enthralled with games and beating one another and more focused on collaborative social behavior directed toward solving social and economic problems with its newly invented tools and doing so in a way that doesn't create new problems or invite new atrocities.





                    Footnotes



                    That what has been described as general intelligence exists in humans is disputable on the basis of evidence to the contrary. Many would cite these strategies and trends as evidence of limits to human intelligent.




                    • Nuclear deterrence as a peace strategy

                    • A complete lack of moderation in the consumption of finite, critical natural energy resources

                    • Continuously increasing density of addiction patterns globally

                    • Causing the sixth mass extinction on earth







                    share|improve this answer














                    share|improve this answer



                    share|improve this answer








                    edited Nov 27 at 10:52

























                    answered Nov 27 at 7:37









                    Douglas Daseeco

                    3,759635




                    3,759635












                    • Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
                      – Neil Slater
                      Nov 27 at 11:13


















                    • Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
                      – Neil Slater
                      Nov 27 at 11:13
















                    Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
                    – Neil Slater
                    Nov 27 at 11:13




                    Thanks for the edit, it is better this way around (for me at least), with more focus on the technical parts of the answer. There is perhaps a different question around how perfectly rational or highly performing an AGI needs to be. Similarly, what standards of individual or group behaviour we want to hold humans to - although that would not be for this site unless the question was specifically about comparisons to artificial intelligences.
                    – Neil Slater
                    Nov 27 at 11:13


















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