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In November 2025, while working as a writing coach at the experimental 2025 Inkhaven writing/blogging residency at the Lighthaven conference center, I was interviewed by Adam Mastroianni of Experimental History on where I get my ideas (of interest to Inkhaven participants, who were required to write >500 words⧸day) and develop my writings. It can be seen as a followup to my Dwarkesh Patel interview.
Topics include:
How recent poems emerged from LLM collaboration and happy accidents; incubation periods and waiting for ideas to “snap into place”; pathological curiosity and cross-domain reading; my Wikipedia apprenticeship; self-experimentation as easy science and statistics practice; the pipeline model of why small advantages compound into large output differences; mental tools like Feynman's algorithm and modus tollens reversal; “blog brain” and pattern-matching experiences to essays; the two directions of essay-writing (universal → concrete versus concrete → universal); and my preference for wikis over blogs, and treating publishing as just another edit.
Below is a lightly edited transcript of my interview and audience Q&A (to condense, clarify, and add references).
, modified by Gwern Branwen on 2026-01-30 using Google Nano Banana Pro for use as a page thumbnail, by zooming in, changing the color from sepia, and [...]---
Outline:
(03:13) Opening Speech
(05:34) Poems & Incubation
(11:54) Polymath
(13:52) The Apprenticeship
(16:49) Self-Experimentation
(20:46) The Writing Pipeline
(23:17) Tools For Thought
(28:10) Blog Brain: Thats A Post
(32:53) Essay Archetype: Universal ↔︎ Concrete
(37:01) The Voice: Ideas As Earworms
(38:37) Audience Q&A
(38:41) Modalities & Comparative Advantage
(41:49) Publishing Thresholds
(44:10) Wikis Vs Blogs
(51:00) LLM Followup Questions
The original text contained 4 footnotes which were omitted from this narration.
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First published:
Source:
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Narrated by TYPE III AUDIO.
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Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.
By LessWrongIn November 2025, while working as a writing coach at the experimental 2025 Inkhaven writing/blogging residency at the Lighthaven conference center, I was interviewed by Adam Mastroianni of Experimental History on where I get my ideas (of interest to Inkhaven participants, who were required to write >500 words⧸day) and develop my writings. It can be seen as a followup to my Dwarkesh Patel interview.
Topics include:
How recent poems emerged from LLM collaboration and happy accidents; incubation periods and waiting for ideas to “snap into place”; pathological curiosity and cross-domain reading; my Wikipedia apprenticeship; self-experimentation as easy science and statistics practice; the pipeline model of why small advantages compound into large output differences; mental tools like Feynman's algorithm and modus tollens reversal; “blog brain” and pattern-matching experiences to essays; the two directions of essay-writing (universal → concrete versus concrete → universal); and my preference for wikis over blogs, and treating publishing as just another edit.
Below is a lightly edited transcript of my interview and audience Q&A (to condense, clarify, and add references).
, modified by Gwern Branwen on 2026-01-30 using Google Nano Banana Pro for use as a page thumbnail, by zooming in, changing the color from sepia, and [...]---
Outline:
(03:13) Opening Speech
(05:34) Poems & Incubation
(11:54) Polymath
(13:52) The Apprenticeship
(16:49) Self-Experimentation
(20:46) The Writing Pipeline
(23:17) Tools For Thought
(28:10) Blog Brain: Thats A Post
(32:53) Essay Archetype: Universal ↔︎ Concrete
(37:01) The Voice: Ideas As Earworms
(38:37) Audience Q&A
(38:41) Modalities & Comparative Advantage
(41:49) Publishing Thresholds
(44:10) Wikis Vs Blogs
(51:00) LLM Followup Questions
The original text contained 4 footnotes which were omitted from this narration.
---
First published:
Source:
---
Narrated by TYPE III AUDIO.
---
Images from the article:
Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.

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