James Michaelov

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Researcher with public evidence across AI research, NLP & language.

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Postdoc at MIT. Research: language, the brain, NLP. jmichaelov.com

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Seems like a good time to share our new preprint about model openness! (with @catherinearnett.bsky.social @tylerachang.bsky.social Pamela D. Rivière, Samuel M. Taylor @camrobjones.bsky.social @seantrott.bsky.social @rplevy.bsky.social Ben Bergen, and Micah Altman): arxiv.org/a…

How Open Must Language Models be to Enable Reliable Scientific Inference? arxiv.org
AI Weekly's analysis
  • Closed model performance can vary by up to 60% across undocumented version updates, making past benchmark results irreproducible.
  • The paper defines open-weight models as providing complete weights, tokenizer, full architecture, and sufficient code to run independently.
  • Authors recommend researchers justify model selection and systematically document threats to inference when using LLMs in research.
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View on Bluesky · ♥ 19 ↻ 3 ↩ 1 · 2 from the directory shared this · 98d ago

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