Markdown source

Modal

Why It Belongs

Modal appears as a high-confidence tool, platform, model, protocol, product, or service in the AI Engineer World's Fair 2026 corpus.

This page records confirmed mentions and keeps them separate from broader inferred relevance.

Confirmed Evidence

Official Schedule

2026 06 29 zhengyao jiang hands on autoresearch cracking openai s parameter golf — Hands-on AutoResearch: Cracking OpenAI's Parameter Golf (Workshops Day 1 / Track 9)
2026 06 29 niels rogge how i automate my own job at hugging face using agents — How I automate my own job at Hugging Face using agents (AI Architects: Show my Workflow / Leadership 2)

Public YouTube Metadata

YouTube HvZXAOZ3iv8 — What Lies Beneath the API — Benjamin Cowen, Modal
YouTube y-UGrYbJsJk — What every AI engineer needs to know about GPUs — Charles Frye, Modal
YouTube DeFF3J8T5Pk — How fast are LLM inference engines anyway? — Charles Frye, Modal
YouTube qeDPKbWjsuk — Keynote: The AI developer experience doesn't have to suck – why and how we built Modal

Resource Pages

Slide/OCR Pages

Topic Pages

Transcript Files

raw/sources/youtube-transcripts/HvZXAOZ3iv8.txt
raw/sources/youtube-transcripts/OXMMN-XbxwA.txt
raw/sources/youtube-transcripts/zMiSRliEzv4.txt

Confidence

High confidence for presence in the corpus. Interpret broader importance through the linked schedule, transcript, slide, and topic evidence.