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Best Mechanistic Interpretability Newsletters in 2026

NewsletterFIT tracks 4 newsletters that cover Mechanistic interpretability as a primary topic, all with posts in the last 90 days. By publicly shown subscriber count, the largest are aiquantumcomputing (3K).

Updated Nov 14, 2026 · sorted by publicly shown subscribers · methodology

  1. 1
    aiquantumcomputing3K subscribers

    SubstackMonthly or less · last post 52 days ago

    AI and Quantum Computing are disrupting technologies that will need to move forward together in the future to deliver their full potential to mankind. I invite you to follow these two revolutions daily in my newsletter.

    Likely audience: AI researchers

  2. 2
    cristianoluchinivedanta—

    SubstackEvery two weeks · last post 4 days ago

    From recent posts: This article explores how large language models develop a conditioned reflex toward syntactic closure, drawing parallels between Pavlovian conditioning and the structural requirements of programming code and markup lang…

    Likely audience: ML researchers

  3. 3
    Amarda Shehu—

    SubstackEvery two weeks · last post 10 days ago

    From recent posts: Amarda Shehu writes technical analyses of AI systems, covering topics such as LLM weight manipulation, mechanistic interpretability, AI safety, and automated research tools. The newsletter is aimed at readers interested…

    Likely audience: Machine learning researchers

  4. 4
    Thinking Machine —

    SubstackMonthly or less · last post 11 days ago

    Brains, Minds, and Machines

    Likely audience: AI researchers

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