I have said similar criticisms too JJ in the past, but I think he overplays the statistical parrot metaphor and underplays the ability of Machine learning to do feature extraction and abstraction. A lot of this has to do with confusion about what semantic maps mean and the importance of embodiment and a coherent unified sense of self and…
I have said similar criticisms too JJ in the past, but I think he overplays the statistical parrot metaphor and underplays the ability of Machine learning to do feature extraction and abstraction. A lot of this has to do with confusion about what semantic maps mean and the importance of embodiment and a coherent unified sense of self and purpose in a social world -- and the coming noosphere. I would suggest the following references:
Terrence Deacon on the Noosphere | Closer to Truth Chats
I have said similar criticisms too JJ in the past, but I think he overplays the statistical parrot metaphor and underplays the ability of Machine learning to do feature extraction and abstraction. A lot of this has to do with confusion about what semantic maps mean and the importance of embodiment and a coherent unified sense of self and purpose in a social world -- and the coming noosphere. I would suggest the following references:
Terrence Deacon on the Noosphere | Closer to Truth Chats
https://www.youtube.com/watch?v=aBNmAleGbnE
Signs of Artificial Life Symposium | Day 1 with Terrence Deacon
https://www.youtube.com/watch?v=JhXALo0Ri7Y
Jaron Lanier Looks into AI's Future | AI IRL
https://www.youtube.com/watch?v=o8vU9QtcMZw&t=26s
Intelligent Thinking About Artificial Intelligence
https://www.youtube.com/watch?v=caepEUi2IZ4&t=319s