Riccardo, I meant to add what I am saying below as a postscript.
On Sat, Jul 11, 2026 at 2:36 PM Gregory Casamento <[email protected]> wrote: > On Sat, Jul 11, 2026 at 8:43 AM Riccardo Mottola < > [email protected]> wrote: > >> Hi, >> >> Foreword 1: when for brevity I am referring to AI, I am referring to the >> latest trend of the "big plagiarism machine" to cite David (or I prefer >> Chomsky's wording "High Tech Plagiarism"): large systems that suck code >> from everywhere, closed and open source, that scavenge every available >> resource and site (including our own) and digest everything. Well aware >> that AI could be local, integrated in Lisp, neural networks in chips and >> a lot of other usages of AI and Neural Networks all branded of "AI". >> >> Here's the thing... Chomsky's assessment demonstrates a fundamental misunderstanding of how modern AI systems operate. Also, *anyone* who espouses this position displays a similar misunderstanding; here's why: Why the "Plagiarism" Label Fails - Novel Output: AI generates entirely original combinations of words rather than copying existing text. - Dynamic Synthesis: Large language models merge thousands of disparate concepts to create unique insights. - Lossless Storage Myth: Models do not store database copies of their training data to copy from. - Lossy Compression: The AI internalizes abstract concepts and semantic rules rather than specific phrases. If all the LLM represents is a statistical prediction machine, then I could understand your position on this point, but it isn't. It utilizes a neural network to support the above functionality. This means it can combine concepts it is exposed to in novel ways, so again. The following citations support my argument: Mitchell, M., & Wu, X. (2026). *LLMs, reasoning and plagiarism*. arXiv <https://arxiv.org/html/2502.16487v1>. https://arxiv.org/html/2601.02380v5 *Liberman, M.* (2026). Chomsky and the origins of AI research. *Language Log*. https://languagelog.ldc.upenn.edu/nll/?p=72547 Delétang, G. (2023). *What Noam Chomsky gets wrong about AI*. MLPowered. https://www.mlpowered.com/posts/chomsky-gets-wrong/ Yours, GC -- Gregory Casamento GNUstep Lead Developer / Black Lotus, Principal Consultant http://www.gnustep.org - http://heronsperch.blogspot.com https://www.openhub.net/languages/objective_c
