---
title: "Slides: Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel"
category: "slides"
video_id: "YYH0DMQr30A"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel

## Source Video
[Task Fidelity Scaling Laws — Kobie Crawdord, Snorkel](https://www.youtube.com/watch?v=YYH0DMQr30A)

## 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/YYH0DMQr30A/slide-003.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/YYH0DMQr30A/slide-003.html)
- AI slide classifier: `content_slide` confidence `0.98`
- Text source: agent_vision.

Slide text:

> Does Task Quality Actually Matter?
> AI model capabilities are fundamentally bounded by training data quality
> this holds regardless of model architecture, scale, or agent harness.
> For agentic benchmarks and evals, task quality is data quality
> but the field currently lacks empirical evidence that curating higher-quality tasks leads to meaningfully better training outcomes.
> Can we measure the impact of task quality on model performance?

![[assets/slides/YYH0DMQr30A/slide-004.jpg]]

- Recreated text/layout view: [open HTML recreation](/assets/slide-recreations/slides/YYH0DMQr30A/slide-004.html)
- AI slide classifier: `content_slide` confidence `0.93`
- Text source: agent_vision.

Slide text:

> Thank You
> snorkel.ai/research/
> snorkel.ai/leaderboard/
> Engineering the future of AI


### Hidden Non-Slide Evidence
- [`slide-001.jpg`](/assets/slides/YYH0DMQr30A/slide-001.jpg) — `speaker_stage` confidence `0.08`; Stage shot with speaker in front of a projected slide; not a clean presentation slide frame.
- [`slide-002.jpg`](/assets/slides/YYH0DMQr30A/slide-002.jpg) — `speaker_stage` confidence `0.12`; Composite stage capture with slide plus camera shot and branding panels; not a clean slide-only frame.

Classification audit: `raw/sources/slide-ai-classification/slides/YYH0DMQr30A/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.