Slides: Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK

Source Video

Browser Agents Don't Need Better Models. They Need Better Eyes. - Kushan Raj, ARK

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

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: agent_vision.

Slide text:

This browser challenge is a

Fairly simple webpage

But generally across webpage

The markdown has

~20x token compression w.r.t DOM

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: none.
OCR decision: ready — Dense markdown/code screenshot with small text and multiple sections.

Hidden Non-Slide Evidence

`slide-001.jpg` — demo_video confidence 0.99; Browser demo footage with popups and an app sidebar, not a presentation slide.
`slide-002.jpg` — demo_video confidence 0.99; Desktop/file-explorer and terminal screen capture, not a readable presentation slide.
`slide-003.jpg` — demo_video confidence 0.98; Screen-recorded browser/terminal demo footage, not a presentation slide.
`slide-004.jpg` — demo_video confidence 0.99; Screen-recorded browser/UI footage with an overlaid demo message, not a presentation slide.
`slide-005.jpg` — demo_video confidence 0.98; Screen-recording/demo footage with browser UI, webcam bubble, and video controls; not a presentation slide.
`slide-006.jpg` — demo_video confidence 0.97; Screen-share/demo footage showing Google AI Studio in a browser with tabs and side panes; not a presentation slide.

Classification audit: raw/sources/slide-ai-classification/slides/JnubYCYunk8/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.