"It is important, both for intellectual honesty and for continued funding, that AI researchers claim credit for our successes and take ownership of our shortcomings." Completely agree w above (but also never said deep learning should be abandoned)https://medium.com/@tdietterich/what-does-it-mean-for-a-machine-to-understand-555485f3ad40 …
-
i would call your attention to the conclusions page 171, particularly last few sentences in the screenshot, “symbols-manipulation [does not likely] exhaust the components for cognition.... multilayer perceptrons may play a role ... provide excellent models [of some phenomena”pic.twitter.com/FnKRO5F2Ox
it is a scientist’s ways of saying this could work, but i am not sure. as a model of human cognition (which is what the book was about), i am still not sure. getting approximate results for commercial purposes ≠ good cognitive model
-
-
Okay, I understand that academic-speak tends to use words that would hedge their conclusions. Science is about doubt.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.