I feel like this “back off and augment” is downstream of an implicit theory of intelligence that is specifically unsuited to dealing with how existing examples of intelligence seem to work. Epistemic status: the idea used to make sense to me and apparently no longer does, in a way that seems related to the ways i’ve updated my theories of cognition over the past years.
Very roughly, networking cognitive agents stacks up to cognitive agency at the next level up easier than expected and life has evolved to exploit this dynamic from very early on across scales. It’s a gestalt observation and apparently very difficult to articulate into a rational argument. I could point to memory in gene regulatory networks, Michael Levin’s work in nonneural cognition, trainability of computational ecological models (they can apparently be trained to solve sudoku), long term trends in cultural-cognitive evolution, and theoretical difficulties with traditional models of biological evolution—but I don’t know how to make the constellation of data points easily distinguishable from pareidolia.
I feel like this “back off and augment” is downstream of an implicit theory of intelligence that is specifically unsuited to dealing with how existing examples of intelligence seem to work. Epistemic status: the idea used to make sense to me and apparently no longer does, in a way that seems related to the ways i’ve updated my theories of cognition over the past years.
Very roughly, networking cognitive agents stacks up to cognitive agency at the next level up easier than expected and life has evolved to exploit this dynamic from very early on across scales. It’s a gestalt observation and apparently very difficult to articulate into a rational argument. I could point to memory in gene regulatory networks, Michael Levin’s work in nonneural cognition, trainability of computational ecological models (they can apparently be trained to solve sudoku), long term trends in cultural-cognitive evolution, and theoretical difficulties with traditional models of biological evolution—but I don’t know how to make the constellation of data points easily distinguishable from pareidolia.