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Title:#78 - Prof. NOAM CHOMSKY (Special Edition)
Duration:03:36:55
Viewed:44,713
Published:09-07-2022
Source:Youtube

Patreon: www.patreon.com/mlst Discord: discord.gg/ESrGqhf5CB In this special edition episode, we're elated to unveil the Professor Noam Chomsky video! In this select episode, we had the opportunity to converse with one of the most significant thinkers of our generation. We proffered a variety of topics to Professor Chomsky, encompassing his sentiments on the advancement of linguistics and cognitive science, to the convoluted mysteries of science and philosophy. This was a priceless chance to procure perspicacity from one of the most preeminent intellectuals of the 20th century, and we're appreciative to have had the opening to talk with him. We have crafted a comprehensive opening section in which we explore Yann LeCun's recent stance on AGI, a new paper on emergence in LLMs, empiricism pertaining to cognitive science, cognitive templates, "the ghost in the machine" and language. Panel: Dr. Tim Scarfe Dr. Keith Duggar Dr. Walid Saba Pod version: anchor.fm/machinelearningstreettalk/episodes/MLST-… Transcript of Chomsky interview; whimsical.com/chomsky-transcript-WgFJLguL7JhzyNhsd… Original corrupt recording: share.descript.com/view/N9KNaZTav27 00:00:00 Kick off 00:02:24 C1: LeCun's recent position paper on AI, JEPA, Schmidhuber, EBMs 00:48:38 C2: Emergent abilities in LLMs paper 00:51:32 C3: Empiricism 01:25:33 C4: Cognitive Templates 01:35:47 C5: The Ghost in the Machine 02:00:08 C6: Connectionism and Cognitive Architecture: A Critical Analysis by Fodor and Pylyshyn 02:20:12 C7: We deep-faked Chomsky 02:29:58 C8: Language 02:34:34 C9: Chomsky interview kick-off! 02:35:32 Q1: Large Language Models such as GPT-3 02:39:07 Q2: Connectionism and radical empiricism 02:44:37 Q3: Hybrid systems such as neurosymbolic 02:48:40 Q4: Computationalism silicon vs biological 02:53:21 Q5: Limits of human understanding 03:00:39 Q6: Semantics state-of-the-art 03:06:36 Q7: Universal grammar, I-Language, and language of thought 03:16:20 Q8: Profound and enduring misunderstandings 03:25:34 Q9: Greatest remaining mysteries science and philosophy 03:33:04 Debrief and 'Chuckles' from Chomsky References; (Currently incomplete, we will add to this) LeCun Path to Autonomous AI paper openreview.net/forum?id=BZ5a1r-kVsf Tim’s marked up version: acrobat.adobe.com/link/review?uri=urn:aaid:scds:US… Emergent Abilities of Large Language Models [Wei et al] 2022 arxiv.org/abs/2206.07682 Connectionism and Cognitive Architecture: A Critical Analysis [Fodor, Pylyshyn] 1988 ruccs.rutgers.edu/images/personal-zenon-pylyshyn/d… Ghost in the machine psychology.fandom.com/wiki/Ghost_in_the_machine forum.wordreference.com/threads/in-an-aristotelian… news.ycombinator.com/item?id=26448901 (thanks to user tikwidd for your analysis) Noam Chomsky in Greece: Philosophies of Democracy (1994) [Language chapter] https://www.youtube.com/watch?v=-kL0U... Richard Feynman clip vimeo.com/340695809 Chomsky Bryan Magee BBC interview: https://www.youtube.com/watch?v=PxvSQ... Randy Gallistel's work (question 3) Helmholtz “NNs : they’ve damn slow” Purkinje cells Barbara Partee https://www.youtube.com/watch?v=aA_T2... Iris Berent cos.northeastern.edu/people/iris-berent/ Penrose Orch OR en.wikipedia.org/wiki/Orchestrated_objective_reduc… en.wikipedia.org/wiki/Shadows_of_the_Mind Alan Turing “Systems of Logic Based on Ordinals” rauterberg.employee.id.tue.nl/lecturenotes/DDM110%… www.amazon.com/Events-Semantic-Architecture-Paul-P… Fodor “The Language of Thought” www.amazon.com/Language-Thought/dp/0674510305 Least Effort materias.df.uba.ar/dnla2019c1/files/2019/03/scalin… structure dependence in grammar formation www.jstor.org/stable/415004 www.amazon.com/Minimalist-Program-MIT-Press/dp/026… three models chomsky.info/wp-content/uploads/195609-.pdf en.wikipedia.org/wiki/Transformational_grammar www.amazon.com/Aspects-Theory-Syntax-Noam-Chomsky/… Darwin's problem chomsky.info/20140826/ Descartes's problem en.wikipedia.org/wiki/Mind%E2%80%93body_problem Control Theory en.wikipedia.org/wiki/Control_(linguistics) Thanks; Thanks to Pikachu for helping us get the Chomsky NVidia Tacotron 2 model working 😍.

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