Scaling Competence, Shrinking Reasoning: Cognitive Signatures in Language Model Learning

This article likely discusses the trade-offs in large language models (LLMs) as they scale. It suggests that while LLMs become more competent in generating text, their reasoning abilities might not improve proportionally, or could even decline. The term "cognitive signatures" implies an analysis of the internal processes of these models, potentially using techniques to understand how they solve problems and what kind of reasoning they employ.