---
title: "Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel"
category: "resources"
sourceLabels:
  - "Public YouTube metadata"
  - "YouTube transcript"
videoId: "YYH0DMQr30A"
last_enriched: "2026-07-15T23:40:57.596843+00:00"
---
# Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel

## What It Is
An official AI Engineer YouTube channel video with a cached transcript. It is retained as supporting context only because it has not been verified as an actual AI Engineer World's Fair San Francisco 2026 event recording.

## Source Classification
- Source role: supporting official-channel video context, not first-class event evidence.
- Channel/source: official AI Engineer YouTube channel AI Engineer cut video.
- Use: background, speaker, company, or historical AIE context only; do not use for World's Fair San Francisco 2026 session claims unless manually verified against the official event.

## Transcript Status
Cached transcript text is available at `raw/sources/youtube-transcripts/YYH0DMQr30A.txt` (3,665 words).

## Topic Signals
- [[agent-evaluations|Agent Evaluations]], [[coding-agents|Coding Agents]], [[agent-memory|Agent Memory]], [[ai-sandboxes|AI Sandboxes]]
- Transcript keywords: `currently`, `origins`, `pointing`, `used`, `accept`, `getting`, `consider`, `thanks`

## Link
[YouTube](https://www.youtube.com/watch?v=YYH0DMQr30A)

## Extracted Slides
- [[youtube-YYH0DMQr30A-slides]]