# Parametric vs Non-Parametric Memory in AI: How to Get Baked Into LLM Training Data (James Dooley interviews Stephen Burns)

Page: https://stenobird.com/podcast/fatrank-podcast-6917040/parametric-vs-non-parametric-memory-in-ai-how-to-get-baked-into-llm-training-data-james-dooley-interviews-stephen-burns
Text version: https://stenobird.com/podcast/fatrank-podcast-6917040/parametric-vs-non-parametric-memory-in-ai-how-to-get-baked-into-llm-training-data-james-dooley-interviews-stephen-burns.md
Podcast: [Fatrank Podcast](https://stenobird.com/podcast/fatrank-podcast-6917040)
Published: 2026-08-28T12:23:54+00:00
Episode link: https://fatrank.transistor.fm/610
Audio file: https://claritaspod.com/measure/2.gum.fm/op3.dev/e/pdcn.co/e/pscrb.fm/rss/p/pdst.fm/e/dts.podtrac.com/redirect.mp3/prfx.byspotify.com/e/media.transistor.fm/e34f9902/c2d05ca0.mp3
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Duration seconds: 346

## Resource

James Dooley interviews Stephen Burns from Common Crawl about how parametric memory and live RAG search shape AI visibility, and how SEOs can get their brand baked into LLM training data.

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## Transcript

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