Summary of Still “talking About Large Language Models”: Some Clarifications, by Murray Shanahan

Main: Computation and Language (cs.CL)
Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)

Still “Talking About Large Language Models”: Some Clarifications

by Murray Shanahan

First submitted to arxiv on: 13 Dec 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary Large language models have been misunderstood by some to advocate for reducing their complexity. In reality, my paper “Talking About Large Language Models” was not meant to promote this stance and does not endorse it. This short note aims to clarify the paper’s context within a larger philosophical project that explores the misuse of words, drawing inspiration from Wittgenstein’s later work.
Low	GrooveSquid.com (original content)	Low Difficulty Summary Large language models are often misunderstood. My research paper “Talking About Large Language Models” was misinterpreted as supporting reducing their complexity. But that wasn’t my intention! Instead, I’m exploring how we use words and how they can be misused. It’s all about understanding the power of language, not just simplifying complex ideas.