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#philsci

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This chapter presents an introduction to the fundamental operations of the so-called Large Language Models (especially ChatGPT) for readers lacking expertise in computational linguistics. Additionally, it offers an introduction to the structure and defining characteristics of the human faculty of language for readers lacking expertise in linguistics. Similarly, an initial examination of the concept of a model in the scientific context is provided, along with an overview of the remaining chapters in this volume, whose authors I sincerely thank for their willingness to get involved in the initiative to produce this book.
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lingbuzz.net/lingbuzz/009177

"Extracting Ontological Commitments from Experimental Practice" (soon in Revue de Métaphysique et de Morale) preprint available here:
philsci-archive.pitt.edu/25555/

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It's a paper on Entity Realism: the view championed by Nancy Cartwright and Ian Hacking that we can be instrumentalist about abstract theories and laws, but realist about the unobservable entities (electrons, DNA, ...) with which scientists routinely interact and associated causal relations.

Summary below 🧵

Would you like to know how language and number knowledge are related? In this new short essay, I link advances in neuroscience research on mathematical knowledge with linguistic theory to provide an answer to this question. Hint: syntax is important!

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bioling.psychopen.eu/index.php

bioling.psychopen.euThe Number Sense and the Language Instinct: Relating Syntax and Arithmetic in Human Cognition| Biolinguistics