<html><body><p>The paradigm for <a href="https://quotes.tuteehub.com/tag/intelligence-394" style="font-weight:bold;" target="_blank" title="Click to read more quotes about INTELLIGENCE">INTELLIGENCE</a> was logical reasoning, and the idea of what an <a href="https://quotes.tuteehub.com/tag/internal-6370" style="font-weight:bold;" target="_blank" title="Click to read more quotes about INTERNAL">INTERNAL</a> representation <a href="https://quotes.tuteehub.com/tag/would-1167" style="font-weight:bold;" target="_blank" title="Click to read more quotes about WOULD">WOULD</a> look like was it would be some <a href="https://quotes.tuteehub.com/tag/kind-1689" style="font-weight:bold;" target="_blank" title="Click to read more quotes about KIND">KIND</a> of symbolic <a href="https://quotes.tuteehub.com/tag/structure-2555" style="font-weight:bold;" target="_blank" title="Click to read more quotes about STRUCTURE">STRUCTURE</a>. That has completely changed with these big neural nets.</p></body></html>

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The paradigm for INTELLIGENCE was logical reasoning, and the idea of what an INTERNAL representation WOULD look like was it would be some KIND of symbolic STRUCTURE. That has completely changed with these big neural nets.

Author - Geoffrey Hinton Subject - Computers

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The paradigm for INTELLIGENCE was logical reasoning, and the idea of what an INTERNAL representation WOULD look like was it would be some KIND of symbolic STRUCTURE. That has completely changed with these big neural nets.

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The paradigm for INTELLIGENCE was logical reasoning, and the idea of what an INTERNAL representation WOULD look like was it would be some KIND of symbolic STRUCTURE. That has completely changed with these big neural nets.

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