Slides: Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labs

Source Video

Voice In, Visuals Out: The Agony and the Ecstasy - Allen Pike, Forestwalk Labs

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: title_card confidence 0.99
Text source: agent_vision.

Slide text:

Voice In, Visuals Out

The Agony and the Ecstasy

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: agent_vision.

Slide text:

“Audio is the human-preferred input to AIs, but vision is the preferred output from them.”

— Andrej Karpathy, May 2026

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: agent_vision.
OCR decision: ready — Dense diagram and UI screenshot text are better handled by OCR; only short obvious labels are captured here.

Slide text:

Visualization

Interactivity

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.97
Text source: agent_vision.
OCR decision: ready — Dense diagram/UI content with small labels is OCR-suitable; only the short visible labels are captured here.

Slide text:

Visualization

Interactivity

Beauty

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.95
Text source: agent_vision.

Slide text:

Voice In

Recreated text/layout view: open HTML recreation
AI slide classifier: demo_video confidence 0.94
Text source: none.
OCR decision: ready — The slide is a row of video thumbnails with small captions and view counts; OCR is better suited than manual transcription in this pass.
Slide text: not surfaced (illegible by AI classifier).

Recreated text/layout view: open HTML recreation
AI slide classifier: title_card confidence 0.98
Text source: agent_vision.

Slide text:

The Tyranny of Latency

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: agent_vision.

Slide text:

200ms seamless voice

100ms feels instant

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: agent_vision.

Slide text:

Pillars of low latency

1 Fast models

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.99
Text source: agent_vision.

Slide text:

Pillars of low latency

1 Fast models

2 Short intervals

3 Stable cache

Hidden Non-Slide Evidence

`slide-007.jpg` — sponsor_logo confidence 0.98; logo-only branding frame with no substantive slide content

Classification audit: raw/sources/slide-ai-classification/slides/65X0pQ6Lmbg/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.