---
title: "Slides: Running a Chess YouTube Channel entirely by AI — Stephan Steinfurt, TNG"
category: "slides"
video_id: "BqZrTdgBaPw"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Running a Chess YouTube Channel entirely by AI — Stephan Steinfurt, TNG

## Source Video
[Running a Chess YouTube Channel entirely by AI — Stephan Steinfurt, TNG](https://www.youtube.com/watch?v=BqZrTdgBaPw)

## Relationship To World's Fair 2026
These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

## Related Scheduled Sessions
- No individual scheduled session mapping has been assigned yet; treat this as an event livestream deck.

## Extracted Slides
![[assets/slides/BqZrTdgBaPw/slide-002.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/BqZrTdgBaPw/slide-002.html)
- AI slide classifier: `content_slide` confidence `0.99`
- Text source: agent_vision.
- OCR decision: ready — Dense body text and embedded article image make this better suited for OCR than manual transcription in this pass.

Slide text:

> The Holy Grail


### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/slides/BqZrTdgBaPw/slide-001.jpg) — `speaker_stage` confidence `0.98`; Stage photo with presenter and audience; the projected slide is too blurry to read reliably.

Classification audit: `raw/sources/slide-ai-classification/slides/BqZrTdgBaPw/audit.json`

## Slide-Derived Subjects To Review
Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.