Generative Video at the Speed of Light
Conference Context
- Date/time: 2026-07-01 · 2:25pm-2:45pm
- Track/room: Generative Media · Track 1
- Speaker(s): Keegan McCallum
- Session type/status: session · confirmed
- Track: Generative Media
- Room: Track 1
- Session type: session
- Status: confirmed
Session Description
Discussing recent breakthroughs in realtime generative video models, and the new architectural problems and bottlenecks involved in creating immersive, interactive experiences on top of these models.
Media Evidence
Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).
- Source video:
youtube-EY4O9M6AsWI - Slide deck: Reconstructed Slides: Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI — 12 visible slide image(s); 12 HTML recreation(s).
- Additional slide evidence: Slides: Dream Machine: Scaling to 1m users in 4 days — Keegan McCallum, Luma AI
- Slide-derived themes for
youtube-EY4O9M6AsWI: triton, mission, general, intelligence, generate, understand, operate, physical.
Evidence Graph
This evidence graph is generated from currently linked source material: official schedule text, related video pages, cached transcripts, visible slide text, dense/reconstructed slide pages, and AI slide-classification audits.
Media Signals
youtube-EY4O9M6AsWI— 8 slide-derived text signals- Slide-derived themes for
youtube-EY4O9M6AsWI: triton, mission, general, intelligence, generate, understand, operate, physical. - Evidence links for
youtube-EY4O9M6AsWI: youtube EY4O9M6AsWI, youtube EY4O9M6AsWI slides, youtube EY4O9M6AsWI reconstructed slides
Agent Reading Notes
Use these signals to refine the synopsis, topic links, people/company context, and method notes. If a source is a related external video rather than an exact official recording, keep it framed as supporting evidence.
Transcript Status
Related video transcript availability: English auto-captions. Treat this as supporting context, not a recording of this exact scheduled session unless later confirmed. Not fetched yet.
People
Supporting Slides
- youtube EY4O9M6AsWI slides — extracted from the related public AI Engineer video.
Synthesis
Synthesized Breakdown
The session explains MCP Apps as a way to add interactive UI to MCP-based workflows. It treats the MCP host as the place where tool data, model reasoning, and human controls meet.
Speaker And Company Context
- Keegan McCallum — Founder at uRun.
Topics Covered
Derived Links And Source Material
- youtube EY4O9M6AsWI — related YouTube source page.
- youtube EY4O9M6AsWI slides — slide evidence.
- youtube EY4O9M6AsWI reconstructed slides — slide evidence.
Novel Concepts / Clever Methods
- MCP Apps As Agentic App Runtime — MCP Apps treats interactive UI returned from MCP servers as a runtime layer for agent-facing software.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.