Tinderbox Meetup 06 JUN 26: Writing to AI, Publishing, Structure, and Human Judgment
| Level | Intermediate |
| Published Date | 6/10/26 |
| Revision | 1 |
| Tags | , 5CKM, 5Cs of Knowledge Management, Eastgate, Identity Praxis, Inc., Mark Bernstein, Michael Becker, Tinderbox, AI, Bernie Sanders, Ethics, Morality |
| Video Length | 01:27:35 |
| Video URL | https://youtu.be/xNFZdGwAUg4 |
| Example File | TBX Meetup 06JUN26Chat.txt (4.0 KB) |
| TBX Version | 11.5 |
| Instructor | Michael Becker |
In this Tinderbox meetup, Mark Bernstein demonstrated an experimental Tinderbox web reader that can embed a live .tbx file directly into a web page. The demo showed multiple Tinderbox views, link handling, URL support, and a simple publishing setup using a JavaScript line, an HTML element, and an uploaded Tinderbox file. The group discussed how this could open new possibilities for publishing Tinderbox-based projects, including dissertations, reference systems, and curated subsets of larger knowledge bases.
Mark Anderson then shared his work using AI to understand the structure of Tinderbox XML. His project revealed that AI does not read documents the way humans do: it prefers explicit structure, lean HTML, clear hierarchy, and minimal unnecessary formatting. The discussion expanded into how AI should interact with Tinderbox files, how to avoid filling knowledge bases with uncurated AI output, and how to use AI as a research, editing, and triage partner rather than as an unchecked author.
The meetup closed with a discussion of Bernie Sanders’ argument that AI should be treated as a public resource. Michael framed an alternative view: the central question may not be who owns AI, but how society preserves human agency and digital sovereignty in an increasingly AI-mediated world. The group explored whether AI-generated wealth should fund individual payments or public digital infrastructure, and debated the ethical boundaries of using AI in writing, teaching, scholarship, and thought leadership.