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<div dir="auto" style="word-wrap:break-word">Dear Deokgun:</div>
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<div dir="auto" style="word-wrap:break-word">If you are looking for cognitive architectures that incorporate both System 1 and System 2 (i.e., dual-process theories), there have been some over the years. You may even trace it back to the 1990s, when such ideas
first emerged (way before Daniel Kahnenman and a number of other researchers popularized this notion in the 2000s and 2010s).</div>
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<div dir="auto" style="word-wrap:break-word">In general, as a survey of this early history, I refer you to the following edited volume: </div>
<div dir="auto" style="word-wrap:break-word"><span style="white-space:pre"></span><font face="Times"><span style="font-size:15px"></span></font></div>
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<div dir="auto" style="word-wrap:break-word"><font face="Times"><span style="font-size:15px">Sun, R. & Bookman, L. (1994).</span> </font><span style="font-size:11pt;font-style:inherit;font-family:'merriweather' , serif;white-space:pre-wrap;color:rgb( 71 , 92 , 102 );text-decoration:underline"><a href="https://www.google.com/url?q=https%3A%2F%2Flink.springer.com%2Fbook%2F10.1007%2Fb102608&sa=D&sntz=1&usg=AFQjCNH0S8Keh-zd4GDNiSuOq6TnWdi2zw" style="color:inherit;text-decoration:none">
Computational Architectures Integrating Symbolic and Connectionist Processing</a></span><font color="#212121" face="Merriweather, serif"><span style="font-size:11pt;font-style:inherit;white-space:pre-wrap">. Kluwer Academic Publishers, The
</span><span style="font-size:14.666666984558105px;white-space:pre-wrap">Netherlands</span><span style="font-size:11pt;font-style:inherit;white-space:pre-wrap">.</span></font></div>
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<div>For a more recent and better developed dual-process cognitive architecture (Clarion), see:</div>
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<div><span style="white-space:pre"></span><font face="Times" style="font-size:15px">Sun, R. (2016). </font><span style="font-size:11pt;font-style:inherit;font-family:'merriweather' , serif;white-space:pre-wrap;color:rgb( 71 , 92 , 102 );text-decoration:underline"><a href="https://www.google.com/url?q=https%3A%2F%2Fglobal.oup.com%2Facademic%2Fproduct%2Fanatomy-of-the-mind-9780199794553%3Fcc%3Dus%26lang%3Den%26&sa=D&sntz=1&usg=AFQjCNG6Ilz6RHmCncGzw4gkvbscDKcD5w" style="color:inherit;text-decoration:none">Anatomy
of the Mind</a></span><span style="font-size:11pt;font-style:inherit;text-decoration:inherit;color:rgb( 33 , 33 , 33 );font-family:'merriweather' , serif;white-space:pre-wrap">. Oxford University Press, New York.</span></div>
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<div><br>
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<div>And also some downloadable journal papers about the cognitive architecture:</div>
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S. Helie and R. Sun, Incubation, insight, and creative problem solving: A unified theory and a connectionist model.
<em>Psychological Review,</em> Vol.117, No.3, pp.994-1024. 2010. [formatted <span style="color:rgb( 71 , 92 , 102 );text-decoration:underline">
<a href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2F4mqmh0iboa231yb%2Fhelie-sun-psycrev2010-f.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AFQjCNGtR80X-RnSLqNvRxTllhvHnyGkNA" style="color:inherit;text-decoration:none">PDF</a></span>] [<span style="color:rgb( 71 , 92 , 102 );text-decoration:underline"><a href="http://www.google.com/url?q=http%3A%2F%2Fccn.psych.purdue.edu%2Fpapers%2Fpr-eii%2Findex.htm&sa=D&sntz=1&usg=AFQjCNGVL8q_vhzC-vnIhyBN7w87IJ6-RQ" style="color:inherit;text-decoration:none">Web</a></span>]</div>
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R. Sun, P. Slusarz, and C. Terry, The interaction of the explicit and the implicit in skill learning: A dual-process approach .
<em>Psychological Review</em>, Vol.112, No.1, pp.159-192. 2005. [formatted <span style="color:rgb( 71 , 92 , 102 );text-decoration:underline">
<a href="https://www.google.com/url?q=https%3A%2F%2Fwww.dropbox.com%2Fs%2Fty9aualxu3dbm1m%2Fsun-pr2005-f.pdf%3Fdl%3D0&sa=D&sntz=1&usg=AFQjCNH4tg6vZKL3edLT1ZNTBcQOnyKhiQ" style="color:inherit;text-decoration:none">PDF</a></span>]</div>
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<ul style="list-style-type:square;padding:0px;margin:6px 0px 0px;color:rgb( 33 , 33 , 33 );font-family:'merriweather' , serif;font-size:14.666666984558105px;white-space:pre-wrap">
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S. Bretz and R. Sun, Two models of moral judgment. <em>Cognitive Science</em>, Vol.42, No.S1, pp.4-37. 2018.
<span style="color:rgb( 71 , 92 , 102 );text-decoration:underline"><a href="https://www.google.com/url?q=https%3A%2F%2Fonlinelibrary.wiley.com%2Fdoi%2Fpdf%2F10.1111%2Fcogs.12517&sa=D&sntz=1&usg=AFQjCNECUVGtkcM_ufSdIuVQZDN4Jl73tA" style="color:inherit;text-decoration:none">https://onlinelibrary.wiley.com/doi/pdf/10.1111/cogs.12517</a></span></div>
</li></ul>
</div>
<div>etc.</div>
<div><br>
</div>
<div>Furthermore, for a detailed comparison of this dual-process theory (as embodied in the cognitive architecture) and Kahnenman’s that highlighted their differences, see the analysis in:</div>
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<div><font face="Times" style="font-size:15px"><span style="text-indent:-0.5in">R. Sun, Implicit and explicit processes: Their relation, interaction, and competition. In: L. Macchi, M. Bagassi, and R. Viale, (eds.),</span><span style="text-indent:-0.5in"> </span><i style="text-indent:-0.5in">Cognitive
Unconscious and Human Rationality.</i><span style="text-indent:-0.5in"> </span><span style="text-indent:-0.5in">pp.257-274. MIT Press, Cambridge, MA. 2016.</span></font></div>
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<p style="margin-left:0.5in;text-indent:-0.5in"><span style="font-size:15px"><font face="Times"></font></span></p>
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<div>Best regards,</div>
<div>Ron</div>
<div><br>
</div>
<div><span style="font-size:14px">========================================================</span><br style="font-size:14px">
<span style="font-size:14px">Professor Ron Sun, Ph.D., FIEEE, FAPS, FPsyS</span><br style="font-size:14px">
<span style="font-size:14px">Cognitive Science Department</span><br style="font-size:14px">
<span style="font-size:14px">Rensselaer Polytechnic Institute</span><br style="font-size:14px">
<span style="font-size:14px">110 Eighth Street, Carnegie 302A</span><br style="font-size:14px">
<span style="font-size:14px">Troy, NY 12180, USA</span><br style="font-size:14px">
<br style="font-size:14px">
<span style="font-size:14px">phone: 518-276-3409</span><br style="font-size:14px">
<span style="font-size:14px">fax: 518-276-3017</span><br style="font-size:14px">
<span style="font-size:14px">email: dr.ron.sun [AT] <a href="http://gmail.com/">gmail.com</a></span><br style="font-size:14px">
<span style="font-size:14px">web: <a href="http://sites.google.com/site/drronsun">http://sites.google.com/site/drronsun</a></span><br style="font-size:14px">
<span style="font-size:14px">=======================================================</span><br style="font-size:14px">
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<div><span style="font-size:14px"><br>
</span></div>
<blockquote>
<div>On Dec 23, 2022, at 12:00 PM, <a href="mailto:connectionists-request@mailman.srv.cs.cmu.edu">
connectionists-request@mailman.srv.cs.cmu.edu</a> wrote:</div>
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<div>Date: Thu, 22 Dec 2022 20:00:44 +0000<br>
From: "Park, Deok Gun" <<a href="mailto:deokgun.park@uta.edu">deokgun.park@uta.edu</a>><br>
To: Stephen Jos? Hanson <<a href="mailto:jose@rubic.rutgers.edu">jose@rubic.rutgers.edu</a>>,<br>
<span style="white-space:pre"></span>"<a href="mailto:connectionists@mailman.srv.cs.cmu.edu">connectionists@mailman.srv.cs.cmu.edu</a>"<br>
<span style="white-space:pre"></span><<a href="mailto:connectionists@mailman.srv.cs.cmu.edu">connectionists@mailman.srv.cs.cmu.edu</a>><br>
Subject: Re: Connectionists: Yann Le Cun and Stephen Hanson on Yann's<br>
<span style="white-space:pre"></span>new vision<span style="white-space:pre"> </span>
of AI<br>
Message-ID:<br>
<span style="white-space:pre"></span><<a href="mailto:BY3PR01MB66604501EC4E6E2E2386B2FB9FE69@BY3PR01MB6660.prod.exchangelabs.com">BY3PR01MB66604501EC4E6E2E2386B2FB9FE69@BY3PR01MB6660.prod.exchangelabs.com</a>><br>
<span style="white-space:pre"></span><br>
Content-Type: text/plain; charset="windows-1252"<br>
<br>
Thank you, Hanson, for sharing this.<br>
<br>
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.<br>
<br>
I was pursuing similar direction myself. My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking.<br>
<br>
Below is the link to the position paper. Like Yann?s, this is more of a proposal without results.<br>
<br>
<a href="https://arxiv.org/abs/2212.08626">https://arxiv.org/abs/2212.08626</a><br>
<br>
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.<br>
<br>
Thank you for reading.<br>
<br>
Regards<br>
<br>
===================<br>
Deokgun Park<br>
Assistant Prof. at UTA CSE<br>
===================<br>
<br>
From: Connectionists <connectionists-bounces@mailman.srv.cs.cmu.edu> on behalf of Stephen Jos? Hanson <jose@rubic.rutgers.edu><br>
Date: Thursday, December 15, 2022 at 8:46 AM<br>
To: connectionists@mailman.srv.cs.cmu.edu <connectionists@mailman.srv.cs.cmu.edu><br>
Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI<br>
<br>
[External]<br>
<br>
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.<br>
<br>
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.<br>
<br>
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>
<br>
Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve<br>
<br>
https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s<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><br>
<br>
The description of the paper and critques.<br>
<br>
https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/<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><br>
<br>
https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/<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><br>
<br>
https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas<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><br>
<br>
https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/<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><br>
<br>
*(due to a small mic issue, we have also closed captioned the conversation)<br>
<br>
--<br>
<br>
Stephen Jos? Hanson<br>
<br>
Professor, Psychology Department<br>
<br>
Director, RUBIC (Rutgers University Brain Imaging Center)<br>
<br>
Member, Executive Committee, RUCCS<br>
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Message: 3<br>
Date: Thu, 22 Dec 2022 21:31:28 +0000<br>
From: Stephen Jos? Hanson <jose@rubic.rutgers.edu><br>
To: "Park, Deok Gun" <deokgun.park@uta.edu>,<br>
<span style="white-space:pre"></span>"connectionists@mailman.srv.cs.cmu.edu"<br>
<span style="white-space:pre"></span><connectionists@mailman.srv.cs.cmu.edu><br>
Subject: Re: Connectionists: Yann Le Cun and Stephen Hanson on Yann's<br>
<span style="white-space:pre"></span>new vision of AI<br>
Message-ID: <d9acae24-72de-6f83-1aad-380ca889d211@rubic.rutgers.edu><br>
Content-Type: text/plain; charset="utf-8"<br>
<br>
Hi Park<br>
<br>
So to be clear, its actually not heterogeneous in a representational sense. That's what is often confabulated by critics.. as soon as a neural architecture.. oh I suppose like a brain.. it must be symbolic! Billions of Neurons can't possibly be reasoning.<br>
<br>
So to the extent Yann's system can monitor an error signal , a mismatch, a credit reconciliation.. backpropagation will still work fine over a set of homogeneous representaional elements, like neurons.<br>
<br>
Steve (my last name is Hanson, I suspect I just made the same error with you!)<br>
<br>
<br>
On 12/22/22 15:00, Park, Deok Gun wrote:<br>
Thank you, Hanson, for sharing this.<br>
<br>
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.<br>
<br>
I was pursuing similar direction myself. My version also has a hierarchical (heterarchical) prediction memory and simulation device for mode 2 thinking.<br>
<br>
Below is the link to the position paper. Like Yann?s, this is more of a proposal without results.<br>
<br>
https://arxiv.org/abs/2212.08626<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Farxiv.org%2Fabs%2F2212.08626&data=05%7C01%7Cjose%40rubic.rutgers.edu%7C866a5fe7a0974c1eb0f408dae45737b4%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C638073361264194506%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=sAUihmwXTzRIJDUp7LTSloLsRw%2BchaQvt1oiOn0%2Fxgc%3D&reserved=0><br>
<br>
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.<br>
<br>
Thank you for reading.<br>
<br>
Regards<br>
<br>
===================<br>
Deokgun Park<br>
Assistant Prof. at UTA CSE<br>
===================<br>
<br>
From: Connectionists <connectionists-bounces@mailman.srv.cs.cmu.edu><mailto:connectionists-bounces@mailman.srv.cs.cmu.edu> on behalf of Stephen Jos? Hanson <jose@rubic.rutgers.edu><mailto:jose@rubic.rutgers.edu><br>
Date: Thursday, December 15, 2022 at 8:46 AM<br>
To: connectionists@mailman.srv.cs.cmu.edu<mailto:connectionists@mailman.srv.cs.cmu.edu> <connectionists@mailman.srv.cs.cmu.edu><mailto:connectionists@mailman.srv.cs.cmu.edu><br>
Subject: Connectionists: Yann Le Cun and Stephen Hanson on Yann's new vision of AI<br>
<br>
[External]<br>
<br>
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.<br>
<br>
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.<br>
<br>
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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Here is the conversation in whole focused entirely on Yann's new AI vision. Cheers and Happy Holidays--Steve<br>
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https://www.youtube.com/watch?v=4s2S2l2OvdM&t=32s<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3D4s2S2l2OvdM%26t%3D32s&data=05%7C01%7Cjose%40rubic.rutgers.edu%7C866a5fe7a0974c1eb0f408dae45737b4%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C638073361264194506%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=woH84FLS7JXNThQYw9uhqLZdH8iLyCYkfQAboD7f28g%3D&reserved=0><br>
<br>
The description of the paper and critques.<br>
<br>
https://ai.facebook.com/blog/yann-lecun-advances-in-ai-research/<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai.facebook.com%2Fblog%2Fyann-lecun-advances-in-ai-research%2F&data=05%7C01%7Cjose%40rubic.rutgers.edu%7C866a5fe7a0974c1eb0f408dae45737b4%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C638073361264350753%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=etkNIQNxE9WkuIVDnzkFyTbc8EkjJZN7Z1%2FSkxwlHwo%3D&reserved=0><br>
<br>
https://www.technologyreview.com/2022/06/24/1054817/yann-lecun-bold-new-vision-future-ai-deep-learning-meta/<https://nam02.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%7Cjose%40rubic.rutgers.edu%7C866a5fe7a0974c1eb0f408dae45737b4%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C638073361264350753%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=bdEu9EVczOkilXR0fubFeiUuGobJD%2BSCzr37g4lzEFA%3D&reserved=0><br>
<br>
https://garymarcus.substack.com/p/how-new-are-yann-lecuns-new-ideas<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgarymarcus.substack.com%2Fp%2Fhow-new-are-yann-lecuns-new-ideas&data=05%7C01%7Cjose%40rubic.rutgers.edu%7C866a5fe7a0974c1eb0f408dae45737b4%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C638073361264350753%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=wwKbuJyFKOn27u7aongD9LHulbfsVgzA6KM8CSfQx8g%3D&reserved=0><br>
<br>
https://www.noemamag.com/what-ai-can-tell-us-about-intelligence/<https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.noemamag.com%2Fwhat-ai-can-tell-us-about-intelligence%2F&data=05%7C01%7Cjose%40rubic.rutgers.edu%7C866a5fe7a0974c1eb0f408dae45737b4%7Cb92d2b234d35447093ff69aca6632ffe%7C1%7C0%7C638073361264350753%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C2000%7C%7C%7C&sdata=XZK7vQJDJRiuVxSPnDkYSD1oB9OUxacQzkWxpwFLaYw%3D&reserved=0><br>
<br>
*(due to a small mic issue, we have also closed captioned the conversation)<br>
<br>
--<br>
<br>
Stephen Jos? Hanson<br>
<br>
Professor, Psychology Department<br>
<br>
Director, RUBIC (Rutgers University Brain Imaging Center)<br>
<br>
Member, Executive Committee, RUCCS<br>
<br>
--<br>
Stephen Jos? Hanson<br>
Professor, Psychology Department<br>
Director, RUBIC (Rutgers University Brain Imaging Center)<br>
Member, Executive Committee, RUCCS<br>
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