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January 2, 2026Impact

Scaling’s Kuhnian crisis: The or lesson llms are ignoring

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Key Points

The study aims to explore the challenges of scaling language models and identify lessons they are ignoring.
Examines the historical context of scientific paradigms as described by Kuhn.
Analyzes the implications of scaling on language model performance and application.
Considers examples from various fields to illustrate the crises of scaling.
Identifies key lessons from past scientific upheavals that apply to current LLM challenges.
Highlights fundamental flaws in scaling strategies employed by LLMs.
Suggests alternative approaches to improve LLM deployment and effectiveness.

Implication

The article explores the challenges faced in scaling LLMs, suggesting significant lessons are overlooked.

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Cite This Study

Tom Murarik (2026) studied this question.

synapsesocial.com/papers/6a323c62d50b63ecad20693e https://doi.org/10.1080/2058802x.2026.2651644

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