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Strawman alert: To extent @tdietterich directed this line at me "I object to the argument that says “Today’s deep learning-based systems don’t exhibit genuine understanding, and therefore deep learning should be abandoned" it is an absolute misrepresentation of my position. 1/2https://twitter.com/tdietterich/status/1188551504388452352 …
My *actual* position is NOT that we should abandon deep learning, nor that deep learning can't get us to shallow understanding in sense @tdietterich has described, but that deep learning *alone* can't get us to deep understanding.
Chp 4 of http://rebooting.ai explains
2/2
Lack of shared definition makes this discussion a never-ending debate. If you define "deep understanding" as "human-level understanding", I guess that all AI algos (connectionist/symbolic/hybrid) will fall short of reaching this goal except if they model human brain mechanisms
Lack of reading hurts a lot too; we gave many examples in Chapter 4 of http://Rebooting.AI ; not one of my critics has actually gone through those examples and given a counteranalysis.
But few laymen understand the nuance of your argument. So you are as guilty as OpenAI in arriving at a conclusion with inadequate explanation
That's totally false. I have said the part about not abandoning deep learning part repeatedly in completely clear terms, one typical quote below, in this case from Deep Learning: A Critical Appraisal; the entire book http://rebooting.ai is about deep understanding.pic.twitter.com/WBrlDnLlJo
I think this is an important point. Understanding comes in degrees. As a physicist I want to see a proper theory of scaling (with semantics, as @SmartSpaceTime2 describes), we can note ideas in linguistics here. Without this, CS folks will forever be trapped in Boolean reasoning
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