---
title: "Recursive Model Improvement"
category: "talks"
date: "2026-06-29"
time: "5:10pm-5:30pm"
track: "Software Factories"
room: "Main Stage"
speakers: ["Lee Robinson"]
sourceLabels: ["Official conference schedule", "Public YouTube metadata"]
scheduleTrack: "Software Factories"
scheduleRoom: "Main Stage"
scheduleLabels: ["Software Factories", "Main Stage", "keynote", "confirmed"]
---
# Recursive Model Improvement

## Conference Context
- Date/time: 2026-06-29 · 5:10pm-5:30pm
- Track/room: Software Factories · Main Stage
- Speaker(s): Lee Robinson
- Session type/status: keynote · confirmed

- Track: Software Factories
- Room: Main Stage
- Session type: keynote
- Status: confirmed

## Session Description
No official description published in the schedule data.

## Media Evidence
[Building Cursor Composer – Lee Robinson, Cursor](https://www.youtube.com/watch?v=fL1iJHtl51Q) (speaker-match related prior/adjacent AI Engineer video; captions: English auto-captions).

- [[youtube-htM02KMNZnk-transcript]] — full cached transcript markdown for the related YouTube source.

- Source video: `youtube-fL1iJHtl51Q`
- Slide deck: [[youtube-fL1iJHtl51Q-dense-slides|Dense Slides: Building Cursor Composer – Lee Robinson, Cursor]] — 2 visible slide image(s); 2 HTML recreation(s).
![[assets/dense-slides/fL1iJHtl51Q/slide-001.jpg]]
![[assets/dense-slides/fL1iJHtl51Q/slide-002.jpg]]
- Additional slide evidence: [[youtube-fL1iJHtl51Q-slides|Slides: Building Cursor Composer – Lee Robinson, Cursor]], [[youtube-fL1iJHtl51Q-reconstructed-slides|Reconstructed Slides: Building Cursor Composer – Lee Robinson, Cursor]]
- Slide-derived themes for `youtube-fL1iJHtl51Q`: speed, composer, intelligence, frontier, combines, coding, score, tokens.
- Source video: `youtube-htM02KMNZnk`
- Slide deck: [[youtube-htM02KMNZnk-dense-slides|Dense Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF]] — 18 visible slide image(s); 18 HTML recreation(s).
![[assets/dense-slides/htM02KMNZnk/slide-001.jpg]]
![[assets/dense-slides/htM02KMNZnk/slide-002.jpg]]
![[assets/dense-slides/htM02KMNZnk/slide-003.jpg]]
- Additional slide evidence: [[youtube-htM02KMNZnk-slides|Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF]], [[youtube-htM02KMNZnk-reconstructed-slides|Reconstructed Slides: WF2026: Software Factories & Keynotes ft. Microsoft, OpenAI, OpenClaw, Z.ai (GLM), MiniMax, HF]]
- Slide-derived themes for `youtube-htM02KMNZnk`: cycles, stacking, loops, tokens, tools, tasks, throughput, many.

- [[youtube-q4Tr-DknG2M-transcript]] — full cached transcript markdown for the related YouTube source.

## 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-fL1iJHtl51Q` — 5 slide-derived text signals
- Slide-derived themes for `youtube-fL1iJHtl51Q`: speed, composer, intelligence, frontier, combines, coding, score, tokens.
- Evidence links for `youtube-fL1iJHtl51Q`: [[youtube-fL1iJHtl51Q]], [[youtube-fL1iJHtl51Q-slides]], [[youtube-fL1iJHtl51Q-dense-slides]], [[youtube-fL1iJHtl51Q-reconstructed-slides]]
- `youtube-htM02KMNZnk` — 89,050 transcript words; 4 slide-derived text signals
- Transcript signals for `youtube-htM02KMNZnk`: model, code, models, loop, well, software, first, team.
- Slide-derived themes for `youtube-htM02KMNZnk`: cycles, stacking, loops, tokens, tools, tasks, throughput, many.
- Evidence links for `youtube-htM02KMNZnk`: [[youtube-htM02KMNZnk]], [[youtube-htM02KMNZnk-transcript]], [[youtube-htM02KMNZnk-slides]], [[youtube-htM02KMNZnk-dense-slides]], [[youtube-htM02KMNZnk-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
- [[lee-robinson]]

## Supporting Slides
- [[youtube-fL1iJHtl51Q-slides]] — extracted from the related public AI Engineer video.

## Slide Evidence
- Slide-only cropped deck: [[youtube-fL1iJHtl51Q-dense-slides]] (2 viable slide images).
- Related slide/OCR pages:
- [[youtube-fL1iJHtl51Q-dense-slides]]
- [[youtube-fL1iJHtl51Q-reconstructed-slides]]
- [[youtube-fL1iJHtl51Q-slides]]
- Slide-derived terms: `frontier`, `file`, `composer`, `fast`, `cursor`, `intelligence`, `speed`, `best`, `model`, `robinson`, `developer`, `education`, `read`, `edit`, `code`, `combines`, `coding`, `best-in-class`

## Livestream Segment
- [Watch in livestream at 08:12:13](https://www.youtube.com/watch?v=htM02KMNZnk&t=29533s) — WF2026: Software Factories & Keynotes (Day 1).
- Match basis: speaker and title; timed captions matched Lee Robinson, improvement, model, recursive.
- Confidence: high automated match; prefer a dedicated cut-video recording when one exists.

## 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
- [[lee-robinson|Lee Robinson]] — ML, Model Behavior at [[cursor|Cursor]].

### Topics Covered
- [[agent-security]]
- [[agentic-search]]
- [[agentic-web]]
- [[ai-sandboxes]]
- [[coding-agents]]
- [[mcp]]
- [[mcp-apps]]

### Derived Links And Source Material
- [[youtube-htM02KMNZnk-transcript]] — transcript markdown; source cache `raw/sources/youtube-livestream-transcripts/htM02KMNZnk.txt` (89,050 words).
- [[youtube-q4Tr-DknG2M-transcript]] — transcript markdown; source cache `raw/sources/youtube-transcripts/q4Tr-DknG2M.txt` (4,039 words).
- [[youtube-fL1iJHtl51Q]] — related YouTube source page.
- [[youtube-fL1iJHtl51Q-slides]] — slide evidence.
- [[youtube-fL1iJHtl51Q-reconstructed-slides]] — slide evidence.
- [[youtube-fL1iJHtl51Q-dense-slides]] — slide evidence.
- [[youtube-htM02KMNZnk]] — related YouTube source page.
- [[youtube-htM02KMNZnk-slides]] — slide evidence.
- [[youtube-htM02KMNZnk-reconstructed-slides]] — slide evidence.
- [[youtube-htM02KMNZnk-dense-slides]] — slide evidence.
- [[youtube-q4Tr-DknG2M]] — related YouTube source page.
- [[youtube-q4Tr-DknG2M-slides]] — slide evidence.

### Novel Concepts / Clever Methods
- [[agent-ready-accessibility|Agent-Ready Accessibility]] — Designing for agents and designing for accessibility converge around explicit structure, reachable controls, and understandable state.
- [[mcp-app-runtime|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 uses the official schedule plus cached video transcripts. Official AI Engineer World's Fair San Francisco 2026 livestreams and cut videos are primary event video sources for transcript/slide evidence; external, historical, or speaker-matched videos remain supporting context unless manually verified as exact official event recordings.

## Official YouTube Recording
- [[youtube-q4Tr-DknG2M]] — official AI Engineer YouTube channel recording published 2026-07-15.
- Evidence status: [[youtube-q4Tr-DknG2M-transcript]]; [[youtube-q4Tr-DknG2M-slides]].
- Boundary: use this recording as media evidence; keep date/time/room facts tied to the official schedule.