Paper questions closed language models for scientific inference

A new paper explores the implications of language model openness for scientific research, arguing that closed models generally hinder reliable inference. The authors propose that researchers must identify and justify their model choices, detailing steps taken to mitigate potential threats to inference. The paper suggests that current closed models are largely unsuitable for scientific use, with exceptions requiring careful consideration. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Raises critical questions about the suitability of closed-source language models for scientific research and inference.

RANK_REASON The cluster contains an academic paper discussing a research question related to AI models. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Micah Altman

• paper
• safety