(Thread) On the heels of the recent @GaryMarcus & @ylecun Twitter "debate", here's one of my gripes. I find myself constantly frustrated in any deep learning vs. symbolic debate because symbol pushers tend to claim ownership over capacities like "reasoning".
it was hard work discerning a fundamental limit (in 1998) when everyone imagined neural networks were magic, and it’s been even harder work to get people to recognize the importance of that limit. (some do, now; most still don’t; many insult me rather than reckon with it)
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"there is really only one viable route from sense to symbols: from the ground up." "The Symbol Grounding problem" 1999 details argument https://arxiv.org/abs/cs/9906002v1 …
#deeplearning#ai -
The connectionist argument has always been that reasoning will eventually be learned, but to do so, you have to build your way from the ground up. Evolving from the top down doesn't work.
End of conversation
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