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<p><font size="4">In the last year, Yann Le Cun has posted a new vision for AI, partly avoiding the ambiguous complexity of LLM, and AGI, he focuses on
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explicit reasoning systems, going beyond the implicit classification systems which have been so successful with Deep Learning. Like other AI leaders, he realized that somethingthay must be scaled down before scaling up. It would be better to get the reasoning
sense of a non-human mammal, say a cat, then jump to human reasoning, Yann argues.<br>
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<p><font size="4">This also underscores, I think, much of the problem with LLM--e.g. ChatBOTs, which probably will be a concern for classicial lingustics, nonetheless are inscructable.</font></p>
<p><font size="4">At the same time critics have emerged, because when one provides enough detail of a specific vision it is both courageous and risky. Our favorite critic/troll, Gary Marcus wrote several critiques (see the one below), and Yann and Jake
Browning tried to clarify, and deflate some of the Marcus arguments, as many of them appear to almost perversely misunderstand the difference between complex Nerual Network architectures and symbolic systems from the 1970s (which mostly didn't work).<br>
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<p><font size="4">Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve<br>
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<p><font size="4"><a class="moz-txt-link-freetext" href="https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s">https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s</a></font></p>
<p><font size="4">The description of the paper and critques.</font></p>
<p><font size="4"><a class="moz-txt-link-freetext" href="https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/">https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/</a><br>
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<p><font size="4"><a class="moz-txt-link-freetext" href="https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/">https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/</a></font></p>
<p><font size="4"><a class="moz-txt-link-freetext" href="https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas">https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas</a><br>
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<p><font size="4"><a class="moz-txt-link-freetext" href="https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/">https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/</a></font></p>
<p><font size="4">*(due to a small mic issue, we have also closed captioned the conversation)</font><br>
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<pre class="moz-signature" cols="72">--
Stephen José Hanson
Professor, Psychology Department
Director, RUBIC (Rutgers University Brain Imaging Center)
Member, Executive Committee, RUCCS</pre>
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