[Frontiers:Science|Frontiers:CS|Frontiers:AI|Frontiers:PSY|Frontiers:LING]
Queue
• Murphy, Elliot, Evelina Leivada, Vittoria Dentella, Raquel Montero, Fritz Günther, and Gary Marcus, Fundamental principles of linguistic structure are not represented by ChatGPT, Biolinguistics 19: 1-55, 2025.
• Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell, On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?, In Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT'21). Association for Computing Machinery, New York, NY, USA, 610–623, 2021.
• Jeffrey Watumull, Marc Hauser, Ian Roberts and Norbert Hornstein, On recursion, Frontiers in Psychology, Vol.4:1017. doi: 10.3389/fpsyg.2013.01017
• Noam Chomsky, New Horizons in the Study of Language and Mind, Cambridge, UK: Cambridge University Press, 2000.
• Bertrand Meyer, Doing it Right or Doing it Over?, Communications of the ACM, Feb.4, 2013.
• Roni Katzir, Why Large Language Models Are Poor Theories of Human Linguistic Cognition: A Reply to Piantadosi, Biolinguistics, Vol.17, Dec.15, 2023.
• Wolters, Christopher, et al., Memory is all you need: An overview of compute-in-memory architectures for accelerating large language model inference., arXiv preprint arXiv:2406.08413, Jun.12, 2024.
• Roy K, Kosta A, Sharma T, Negi S, Sharma D, Saxena U, Roy S, Raghunathan A, Wan Z, Spetalnick S, Liu C-K and Raychowdhury A, Breaking the memory wall: next-generation artificial intelligence hardware. Frontiers in Science, Vol.3:1611658. doi: 10.3389/fsci.2025.1611658, Dec.16, 2025.
• Michal Wieczorek, Fabio Tollon, Teachers' Busywork, Moral Entanglement, and the Automation of Responsibility, Ethical Theory and Moral Practice, May, 2026.
• Jeffrey Watumull, A Turing Program for Linguistic Theory, lingbuzz/001550, Jun., 2012.
• Jeffrey Watumull, Language Is a “Quite Useless” Tool: A Rejoinder to Fedorenko, Piantadosi, and Gibson’s “Language Is Primarily a Tool for Communication Rather Than Thought”, lingbuzz/008535, Oct., 2024.
• Eddy Chen, Mikhail Belkin, Leon Bergen, David Danks, “Does AI already have human-level intelligence? The evidence is clear”, Nature, Vol 650, Feb.5, 2026.
• Alan Turing, Computing Machinery and Intelligence, Mind, New Series, Vol.59, No.236, pp.455-460, Oct, 1950.
• Walter Quattrociocchi, Valerio Capraro, Gary Marcus, Statistical approximation is not general intelligence, Nature, 659, 792.
• Noam Chomsky, Ian Roberts, Jeffrey Watumull,Noam Chomsky: The False Promise of ChatGPT, The New York Times, Mar.8, 2023.
• David Rothschild et al., Opinion: The Agentic Economy, Communications of the ACM, Vol.69, No.2, Feb., 2026.
• Peter Norvig, Colorless Green Ideas Learn Furiously: Chomsky and the Two Cultures of Statistical Learning, Significance, Volume 9, Issue 4, Aug., 2012.
• Leo Breiman, Statistical Modeling: The Two Cultures, Statistical Science, Vol. 16, No. 3, 199-231, 2001.
• Betrand Meyer, AI for software engineering: from probable to provable, Software Engineering and Artificial Intelligence, 2025.
• Iman Mirzadeh and Keivan Alizadeh and Hooman Shahrokhi and Oncel Tuzel and Samy Bengio and Mehrdad Farajtabar, GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models, Machine Learning and Artificial Intelligence, 2025.
• Noam Chomsky, Cartesian Linguistics: A Chapter in the History of Rationalist Thought, Cambridge University Press, 1966.