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	<title>ciencia: búsqueda en comentarios: #AlphaGo</title>
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	<pubDate>Tue, 15 Mar 2016 11:51:02 +0000</pubDate>
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		<meneame:comment_id>19058607</meneame:comment_id>
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		<meneame:order>5</meneame:order>
		<meneame:user>ChukNorris</meneame:user>
		<meneame:votes>9</meneame:votes>
		<meneame:karma>76</meneame:karma>
		<meneame:url>https://www.meneame.net/m/cultura/alphago-gana-ultima-partida-lee-sedol-cierra-contundente-4-1</meneame:url>
		<title>#5 AlphaGo gana la última partida a Lee Sedol y cierra con un contundente 4-1 final</title>
		<link>https://www.meneame.net/m/cultura/alphago-gana-ultima-partida-lee-sedol-cierra-contundente-4-1/c05#c-5</link>
		<pubDate>Tue, 15 Mar 2016 11:51:02 +0000</pubDate>
		<dc:creator>ChukNorris</dc:creator>
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		<description><![CDATA[<p>¿Qué dice el bueno de Yann LeCun ? (parece que los de IA Fb andan un poco picados con los Google).<br />
<br />
<i>Yann LeCun<br />
Ayer a las 3:15 · <br />
Statement from a Slashdot post about the AlphaGo victory: &#34;We know now that we don't need any big new breakthroughs to get to true AI&#34;<br />
<br />
That is completely, utterly, ridiculously wrong.<br />
<br />
As I've said in previous statements: most of human and animal learning is unsupervised learning. If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would be the cherry on the cake. We know how to make the icing and the cherry, but we don't know how to make the cake.<br />
<br />
We need to solve the unsupervised learning problem before we can even think of getting to true AI. And that's just an obstacle we know about. What about all the ones we don't know about?<br />
<br />
<a href="/m/ciencia/search?w=comments&#38;q=%23deeplearning&#38;o=date">#deeplearning</a> <a href="/m/ciencia/search?w=comments&#38;q=%23AI&#38;o=date">#AI</a> <a href="/m/ciencia/search?w=comments&#38;q=%23AlphaGo&#38;o=date">#AlphaGo</a></i></p><p>&#187;&nbsp;autor: <strong>ChukNorris</strong></p>]]></description>
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		<meneame:comment_id>19045482</meneame:comment_id>
		<meneame:link_id>2581207</meneame:link_id>
		<meneame:order>21</meneame:order>
		<meneame:user>JungSpinoza</meneame:user>
		<meneame:votes>3</meneame:votes>
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		<meneame:url>https://www.meneame.net/m/cultura/lee-sedol-vence-alphago-cuarta-partida</meneame:url>
		<title>#21 Lee Sedol vence a AlphaGo en la cuarta partida</title>
		<link>https://www.meneame.net/m/cultura/lee-sedol-vence-alphago-cuarta-partida/c021#c-21</link>
		<pubDate>Sun, 13 Mar 2016 15:46:41 +0000</pubDate>
		<dc:creator>JungSpinoza</dc:creator>
		<guid>https://www.meneame.net/m/cultura/lee-sedol-vence-alphago-cuarta-partida/c021#c-21</guid>
		<description><![CDATA[<p>Alguna de las reacciones de Demis en Twitter: <br />
 <br />
   <i><br />
    Lee Sedol is playing brilliantly! <a href="/m/ciencia/search?w=comments&#38;q=%23AlphaGo&#38;o=date">#AlphaGo</a> thought it<br />
    was doing well, but got confused on move 87. We<br />
    are in trouble now...<br />
</i><br />
<i><br />
    Mistake was on move 79, but <a href="/m/ciencia/search?w=comments&#38;q=%23AlphaGo&#38;o=date">#AlphaGo</a> only came to<br />
    that realisation on around move 87<br />
</i><br />
<i><br />
    When I say 'thought' and 'realisation' I just mean the<br />
    output of <a href="/m/ciencia/search?w=comments&#38;q=%23AlphaGo&#38;o=date">#AlphaGo</a> value net. It was around 70% at<br />
    move 79 and then dived on move 87<br />
</i><br />
<i><br />
    Lee Sedol wins game 4!!! Congratulations! He was<br />
    too good for us today and pressured <a href="/m/ciencia/search?w=comments&#38;q=%23AlphaGo&#38;o=date">#AlphaGo</a> into<br />
    a mistake that it couldn’t recover from<br />
</i></p><p>&#187;&nbsp;autor: <strong>JungSpinoza</strong></p>]]></description>
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