Work in collaboration with @GoogleAI, Bosch, LMU
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I would love to see a major AI initiative talk about the Chinese room. I'm not saying the Chinese room disproves your work to be clear,but I think it's a question worth looking into.
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The Chinese room is conscious
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I am confused by the highlighted statements. Let’s consider the negation: who in neuroscience or cog. sci. would consider that “human-like understanding” *doesn’t* “requires complementary memory systems and rich representations of situations”? Then, how can we argue for that? 1/
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Second, creating ”a roadmap for extending ML models toward human-level language understanding” (HLLU) is confusing since achieving its ‘local’ HLLU goal actually implies solving human cognition in its totality 2/2
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Wiki-book: 'Machine Psychology&NLP': https://en.wikipedia.org/wiki/User:Zarzuelazen/Books/Reality_Theory:_Machine_Psychology%26NLP … (635 entries) -Computational Linguistics -Ontology Engineering -Grammar Induction Note: Tree-structure illustration.
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Tweet je nedostupan.
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In this context, the act of understanding is completely personal.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Same applies to image classification. Feature binding problem. Not solvable via current DLNNs in any meaningful and explainable way. All failing to truly generalise. Simply high resolution overfitting that we mistake. Temporal structural hierarchies via polychronization key.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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