Open letter to @ylecun: I have been explicit that I believe that symbol-manipulation is part of the solution to AGI; Hinton has ridiculed that idea. Where do you fit in? With me? W Hinton? If in between, where? The field would benefit from a clear statement of your view.https://twitter.com/tabithagold/status/1070736319901519876 …
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Replying to @GaryMarcus
I have expressed my position on this many, many times (including in the recent book "Architects of Intelligence"). But you still seem misunderstand it every time and to insist that we disagree, when we don't actually disagree that much. I'm tired of wasting my time.... 1/2.
3 replies 14 retweets 99 likes -
Replying to @ylecun @GaryMarcus
... but here we go again 1. Whatever we do, DL is part of the solution 2. Hence reasoning will need to be compatible with DL 3. That means using vectors instead of symbols, and differentiable functions instead of logic. 4. This will require new architectural concepts. 2/2
10 replies 18 retweets 128 likes -
Replying to @ylecun @GaryMarcus
...continued 5. The argument that "DL sucks" is simply wrong. DL is gradient-based optimization of multi-module system. That is not going away. 6. Supervised and reinforcement learning as they exist today are insufficient. .....
3 replies 6 retweets 42 likes -
Replying to @ylecun
On 6, totally agree. On #5 do you recognize that I have never ever said that deep learning has no role?
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Replying to @GaryMarcus
But you keep saying "DL sucks", when what you actually mean is "supervised learning sucks". I agree with the latter, not the former.
2 replies 2 retweets 8 likes
Better, more careful would be: supervised learning sucks for certain kinds of tasks; let’s figure out which, and what else we need to do. I have never said “deep learning sucks” on everything, ever.
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Geoffery Hinton explains the difference between symbolic AI and deep learning to great applause from the