Async Q&A with builders

Interviews

Written interviews with the developers, tool authors, and producers who make this field what it is. Verbatim, approved before publication, under CC BY 4.0.

Status

First interviews land in Q4 2026

Invitations are open. If you are a builder in this field and this format looks right for you, write to [email protected] or reach us on LinkedIn. We send a short set of written questions, you answer at your own pace, we publish your words as sent.

What the format is

Async written

No call, no scheduling. You answer in the tool you already write in. There is no editing of your words, only light copyedits for clarity that you approve before publication.

Short and shaped

Typically 6 to 12 questions, tailored to your work. We aim for a reading time of 8 to 15 minutes for the finished piece.

Verbatim, permanent

Your answers publish as sent, with your name, at a canonical URL. Under CC BY 4.0, so anyone can quote you correctly, forever.

You choose the signature

Preferred handle, real name, or both. You choose the byline. If you want a link to your work included, you send it; if you want none, none.

Who we are talking to first

A partial list, drawn from the market report's producer inventory. The first round covers the origin figures, the tool authors, and the highest-volume producers of the current era.

  • M
    Maxime Labonne @mlabonne

    The June 2024 Hugging Face blog that named abliteration for the wider community, and the NeuralDaredevil recipe

    Method: M2 healed-abliterationAlso: LLM Engineer's Handbook
  • P
    Philipp Emanuel Weidmann

    Author of Heretic (November 2025), the tool that automated abliteration and, by mid-2026, had seeded 5,000+ decensored models

    Tool: HereticAutomation
  • h
    huihui-ai

    Producer behind ~220 abliterated models including the trillion-parameter Kimi K2 abliteration

    Method: M3 layer-wise ablationScale
  • F
    FailSpy /u/FailSpai

    The origin figure. Coined the word "abliteration" in May 2024 and released the abliterator library that seeded the field

    OriginLibrary: abliterator
  • D
    DavidAU

    One of the merge and roleplay-specialist producers who work in the M5 merge tradition

    Method: M5 mergesRoleplay
  • E
    Eric Hartford (cognitivecomputations)

    The dataset-based uncensoring lineage that predates activation-based abliteration; author of the Dolphin family

    Method: uncensored fine-tuningDolphin

Not on the list and want to be? [email protected].

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