"A.I. Is Harder Than You Think": Beyond the usual hype, a penetrating analysis by experts @GaryMarcus and Ernest Davis.https://nyti.ms/2IS3mDz
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Replying to @sapinker @GaryMarcus
The first cellphone weighted about 2 kg and had nearly no functionality. Should we have given up and stuck to landlines? You don't give up on something when you just started to make progress, only because the ultimate goal is still far away.
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Replying to @GaryMarcus @sapinker
But this track just began to give useful results! Think of alpha zero, or the recent advances in understanding grid cells via ML. https://deepmind.com/blog/grid-cells/ …
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Gary's not saying this track is wrong, just that it's only part of the solution. Full general intelligence seems to have 3 components - (1) Reflection (forming symbolic causal models), (2) Pattern Recognition (machine learning), (3) Optimization - Achieving goals in the world
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I see. If that is what he meant, then I think I agree. The article just didn't read this way to me. Especially the last 2 paragraphs: "Today’s dominant approach to A.I. has not worked out", and "machine learning and big data can’t get us any further than a restaurant reservation"
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pure deep learning plus big data is what hasn’t worked out; but both can work in conjunction with symbol-manipulation, innateness etc. see my two january arXiv articles
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Ok, thanks! I'll check them out.
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