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<p class="MsoNormal"><span style="font-size:11.0pt">Thank you, Hanson, for sharing this.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">It is inspiring to see a non-homogeneous cognitive architecture from mainstream researcher.   If anyone is pursuing similar approaches, please let me know so that I can learn from it. 
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">I was pursuing similar direction myself.  My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking. 
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Below is the link to the position paper.  Like Yann’s, this is more of a proposal without results.
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"><a href="https://arxiv.org/abs/2212.08626" title="https://arxiv.org/abs/2212.08626"><span style="color:#0563C1">https://arxiv.org/abs/2212.08626</span></a><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">If you find this paper interesting, I would be happy to have a seminar or meeting for discussion.  I would also appreciate your feedback about my direction.  <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Thank you for reading. <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black">Regards<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Verdana",sans-serif;color:black">===================</span><span style="font-size:11.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Verdana",sans-serif;color:black">Deokgun Park  </span><span style="font-size:11.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Verdana",sans-serif;color:black">Assistant Prof. at UTA CSE </span><span style="font-size:11.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-family:"Verdana",sans-serif;color:black">===================</span><span style="font-size:11.0pt;color:black"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt"><b><span style="font-size:12.0pt;color:black">From:
</span></b><span style="font-size:12.0pt;color:black">Connectionists <connectionists-bounces@mailman.srv.cs.cmu.edu> on behalf of Stephen José Hanson <jose@rubic.rutgers.edu><br>
<b>Date: </b>Thursday, December 15, 2022 at 8:46 AM<br>
<b>To: </b>connectionists@mailman.srv.cs.cmu.edu <connectionists@mailman.srv.cs.cmu.edu><br>
<b>Subject: </b>Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI<o:p></o:p></span></p>
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<p>[External]</p>
<div>
<p><span style="font-size:13.5pt">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
<br>
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.</span></p>
<p><span style="font-size:13.5pt">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.</span></p>
<p><span style="font-size:13.5pt">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).</span></p>
<p><span style="font-size:13.5pt">Here is the conversation in whole focused entirely on Yann's new AI vision.  Cheers and Happy Holidays--Steve</span></p>
<p><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D4s2S2l2OvdM%26t%3D32s&data=05%7C01%7Cdeokgun.park%40uta.edu%7C47a74d0fd564406c63b108dadeab2720%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C638067123945237532%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=4f%2FPr%2FoFN6j5Cn7rvREd%2Fp5QonMfOGrBxUUZMNXKr%2B4%3D&reserved=0"><span style="font-size:13.5pt">https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s</span></a></p>
<p><span style="font-size:13.5pt">The  description of the paper and critques.</span></p>
<p><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai.facebook.com%2Fblog%2Fyann-lecun-advances-in-ai-research%2F&data=05%7C01%7Cdeokgun.park%40uta.edu%7C47a74d0fd564406c63b108dadeab2720%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C638067123945393752%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=My0Iz%2BCbElB1aSjdnUxhpnYmq0swoV7YM%2BhjsHkWJ8U%3D&reserved=0"><span style="font-size:13.5pt">https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/</span></a></p>
<p><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.technologyreview.com%2F2022%2F06%2F24%2F1054817%2Fyann-lecun-bold-new-vision-future-ai-deep-learning-meta%2F&data=05%7C01%7Cdeokgun.park%40uta.edu%7C47a74d0fd564406c63b108dadeab2720%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C638067123945393752%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=DkNduRAz9lBWjPNCHC1qFsKWf6Z7WU6uVJj5qHRbIRQ%3D&reserved=0"><span style="font-size:13.5pt">https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/</span></a></p>
<p><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgarymarcus.substack.com%2Fp%2Fhow-new-are-yann-lecuns-new-ideas&data=05%7C01%7Cdeokgun.park%40uta.edu%7C47a74d0fd564406c63b108dadeab2720%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C638067123945393752%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=1zHD1mjZYAI8Wy3V2rHIDPpKAdnu00CvgUuOd1KFQuI%3D&reserved=0"><span style="font-size:13.5pt">https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas</span></a></p>
<p><a href="https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.noemamag.com%2Fwhat-ai-can-tell-us-about-intelligence%2F&data=05%7C01%7Cdeokgun.park%40uta.edu%7C47a74d0fd564406c63b108dadeab2720%7C5cdc5b43d7be4caa8173729e3b0a62d9%7C0%7C0%7C638067123945393752%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=3gi4YYlKf2%2B5SxbiJnou8sdMG6hst%2FelbhP4fUMKGYE%3D&reserved=0"><span style="font-size:13.5pt">https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/</span></a></p>
<p><span style="font-size:13.5pt">*(due to a small mic issue, we have also closed captioned the conversation)</span></p>
<pre>-- </pre>
<pre>Stephen José Hanson</pre>
<pre>Professor, Psychology Department</pre>
<pre>Director, RUBIC (Rutgers University Brain Imaging Center)</pre>
<pre>Member, Executive Committee, RUCCS</pre>
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