Markdown source

Slides: How to talk to statues — Joe Reeve, ElevenLabs

Source Video

How to talk to statues — Joe Reeve, ElevenLabs

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 0.95
• Text source: advanced OCR rapidocr-live/full.
• OCR decision: ready — Dense multi-panel product slide with many small labels and screenshots.

Slide text:

Generate Speech Convert text to speech wh themost any platform. Transcribe Speech Reattme or batch Speech to Text for Compose Music Generate stems,yrics,and fl compositions with fult flexibility

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AIE cy emeet yo.on Dhe enemy of iogkc.

Create Sound Effects Seamless looping, any length, professional-grade sound effects. Clone someone's voice,generate one existing 10k voices. with a prompt,or use one ofour Create Voices Deploy Agents Fully managed agents platform, with Nastive SDKs for mobile and web.

Space sni

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Engineering the future of Al

AIEng

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.93
• Text source: advanced OCR rapidocr-live/full.
• OCR decision: ready — Embedded screenshots and dense small text are better suited for OCR than manual transcription in this pass.

Slide text:

Whosawthis?

Over1.5m impressions

R The British MuseumLondon,United Kingdom ArtemistheHuntress(Romanmarbl.

Identit Research

AIE can ust do stulr / buld in publc Unknown Roman sculptor,after a Greek original ARTIST

YEAR Roman Imperial period,roughly st-2nd century AD

SIMPLYUSETHAT

10.30 AM-F40 19, 2026 44mK Vow information.

httos://x.com/isnit0/status/20244314992 65585249

AIEngineer

EUROPE

AIEng

• Recreated text/layout view: open HTML recreation
• AI slide classifier: content_slide confidence 0.94
• Text source: agent_vision.
• OCR decision: ready — Contains several dense webpage screenshots and small interface text that OCR will capture better than manual reading.

Slide text:

Build. Ship. Win.

Hidden Non-Slide Evidence

• `slide-001.jpg` — speaker_stage confidence 0.98; Camera shot of speaker and audience with a projector screen; not a presentation slide frame.
• `slide-004.jpg` — speaker_stage confidence 0.99; Speaker photo/intro frame on a black background; no meaningful slide content.
• `slide-006.jpg` — title_card confidence 0.97; Branding-only closing card with logo and URL, not substantive presentation content.

Classification audit: raw/sources/slide-ai-classification/slides/u-rJwPPU3QA/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.