About
What this is
transcripts.wiki is a knowledge base built from podcasts and talks — philosophy, history, science, politics, economics, health, and technology. An LLM reads each source, extracts the key ideas, and integrates them into a persistent, cross-linked wiki — updating concept pages, noting contradictions, building synthesis across sources. You can browse the resulting pages or query the AI chat, which answers strictly from the wiki content.
The primary reading surface is HTML. Each source is rendered as a clean, styled transcript — synthesised from auto-generated captions into something actually readable. The wiki pages (transcripts, concepts, themes) are the synthesised layer on top of that.
What it is not
Not a summary site. Not a generic AI chat. Not a transcript host in the archival sense. The value is in the cross-linked synthesis and the grounded AI chat — not in reproducing source material. Each transcript page links to the original video or episode.
How to navigate
The wiki is organised into several layers:
- Transcripts — one summary page per episode, with key ideas and cross-links.
- Concepts — atomic ideas extracted from the corpus. Each concept page synthesises everything the wiki knows about that idea across all sources.
- Themes — curated synthesis pages that span multiple concepts and transcripts, organised around a broader argument or question.
- Speakers — guests and presenters who appear in episodes. Speaker pages link to all their transcripts.
- People — notable figures discussed or cited in episodes who have not themselves appeared as speakers.
- Notes — deeper source-grounded reading notes for idea-dense episodes, using the Adler four-questions frame.
- Quotes — portable verbatim quotes extracted from episodes, grouped by speaker.
- Books — books mentioned across the corpus, with notes on what speakers said about them.
Inspirations
The LLM Wiki pattern
The architecture of this wiki — immutable raw sources, LLM-owned wiki layer, persistent compounding synthesis — comes directly from Andrej Karpathy's LLM Wiki pattern (April 2026). The core insight: instead of re-deriving knowledge from raw documents on every query, have the LLM build and maintain a persistent wiki that compounds with every new source. The wiki is the product; the LLM is the maintainer.
HTML as a reading surface
The decision to use HTML rather than Markdown as the primary reading format was inspired by Thariq Shihipar's "The Unreasonable Effectiveness of HTML" (May 2026): HTML files produced by AI trade a document you would skim for one you would actually read. Andrej Karpathy agreed : asking an LLM to structure its output as HTML and opening the result in a browser is simply a better reading experience than a wall of Markdown.
Sources
The corpus is growing — see the Transcripts index for what is live.