# Rafal Felbur: From the Chinese Canon to the Large Language Model (Part 1)

Page: https://stenobird.com/podcast/the-ho-center-for-buddhist-studies-at-stanford-7277833/rafal-felbur-from-the-chinese-canon-to-the-large-language-model-part-1
Text version: https://stenobird.com/podcast/the-ho-center-for-buddhist-studies-at-stanford-7277833/rafal-felbur-from-the-chinese-canon-to-the-large-language-model-part-1.md
Podcast: [The Ho Center for Buddhist Studies at Stanford](https://stenobird.com/podcast/the-ho-center-for-buddhist-studies-at-stanford-7277833)
Published: 2026-08-01T07:00:00+00:00
Episode link: https://ho-center-for-buddhist-studies-at-stanford.captivate.fm
Audio file: https://episodes.captivate.fm/episode/92117874-29f8-476b-b51d-92431f66c2f8.mp3
Processing state: not_requested
JSON: https://stenobird.com/v1/public/podcasts/the-ho-center-for-buddhist-studies-at-stanford-7277833/episodes/rafal-felbur-from-the-chinese-canon-to-the-large-language-model-part-1
Duration seconds: 2592

## Resource

Rafal Felbur talks about Chinese and Tibetan texts that preserve Indic sources lost in Sanskrit, the early Chinese exegetes who imposed a restrictive orthodoxy even while compiling their inclusive Buddhist canon, and the digital tools that can help us triangulate the content of original scriptures from these enduring translations. Interview by Miles Osgood. Part 1 of 2. Part 2 of this interview will be published on September 1.

## Actions

- request_transcript: `POST https://stenobird.com/v1/public/podcasts/the-ho-center-for-buddhist-studies-at-stanford-7277833/episodes/rafal-felbur-from-the-chinese-canon-to-the-large-language-model-part-1/transcription-requests` — Idempotently request low-priority transcript generation for this episode.
- read_markdown: `GET https://stenobird.com/podcast/the-ho-center-for-buddhist-studies-at-stanford-7277833/rafal-felbur-from-the-chinese-canon-to-the-large-language-model-part-1.md` — Read the agent-friendly Markdown representation of this episode resource.

A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed.

## Transcript

Full transcripts are not published on public pages unless there is a clear rights basis.