---
title: "Slides: KB41dTlX1Uc"
category: "slides"
video_id: "KB41dTlX1Uc"
sourceLabels: ["Public YouTube video frames", "Public YouTube metadata"]
---

# Slides: KB41dTlX1Uc

## Source Video
[](https://www.youtube.com/watch?v=KB41dTlX1Uc)

## 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
![[assets/slides/KB41dTlX1Uc/slide-001.jpg]]

OCR text:

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> OpenAl ZB ss akamar arize 2YS %Braintrust brightdata
> B Browserbase > docker -NeOdj ORAcLE PayPal gm
> 'y reducto [4 Sonar’":' © togetherai (f Unblocked €} WorkOS

![[assets/slides/KB41dTlX1Uc/slide-002.jpg]]

OCR text:

> ae,
> 
> ,
> 
> rN

![[assets/slides/KB41dTlX1Uc/slide-003.jpg]]

OCR text:

> re

![[assets/slides/KB41dTlX1Uc/slide-004.jpg]]

OCR text:

> reas
> a 4 a :
> 2 nt
> ih led -

![[assets/slides/KB41dTlX1Uc/slide-005.jpg]]

OCR text:

> ep

![[assets/slides/KB41dTlX1Uc/slide-006.jpg]]

OCR text:

> + “
> He a . ta
> os
> rokofior

![[assets/slides/KB41dTlX1Uc/slide-007.jpg]]

OCR text:

> rs
> oo ceer tna
> -W-- ..

![[assets/slides/KB41dTlX1Uc/slide-008.jpg]]

OCR text:

> Read
> 
> <=

![[assets/slides/KB41dTlX1Uc/slide-009.jpg]]

OCR text:

> —
> a
> . Pas
> Pr 4s
> vA |

![[assets/slides/KB41dTlX1Uc/slide-010.jpg]]

OCR text:

> ae

![[assets/slides/KB41dTlX1Uc/slide-011.jpg]]
![[assets/slides/KB41dTlX1Uc/slide-012.jpg]]

OCR text:

> robofiow
> - \
> \ —_ 7 an ,

![[assets/slides/KB41dTlX1Uc/slide-013.jpg]]

OCR text:

> r |
> ye a 5
> , | jy " { |

![[assets/slides/KB41dTlX1Uc/slide-014.jpg]]

OCR text:

> Pa
> 
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> 
> Pend

![[assets/slides/KB41dTlX1Uc/slide-015.jpg]]

OCR text:

> | 2 rn
> Pa ne A | | |

![[assets/slides/KB41dTlX1Uc/slide-016.jpg]]

OCR text:

> a
> 
> <8]

![[assets/slides/KB41dTlX1Uc/slide-017.jpg]]

OCR text:

> =p al

![[assets/slides/KB41dTlX1Uc/slide-018.jpg]]

OCR text:

> (a7 di

![[assets/slides/KB41dTlX1Uc/slide-019.jpg]]
![[assets/slides/KB41dTlX1Uc/slide-020.jpg]]

OCR text:

> oA .
> tty
> s Fa
> --
> Ba oad
> A
> °

![[assets/slides/KB41dTlX1Uc/slide-021.jpg]]

OCR text:

> ra)
> 
> ar
> 
> Pied
> 
> -

![[assets/slides/KB41dTlX1Uc/slide-022.jpg]]

OCR text:

> [=24

![[assets/slides/KB41dTlX1Uc/slide-023.jpg]]

OCR text:

> ra |
> , o ao
> i)
> ex
> . |

![[assets/slides/KB41dTlX1Uc/slide-024.jpg]]

OCR text:

> «4
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> -
> 4
> a
> an
> 
> 4
> 
> .
> cs
> .

![[assets/slides/KB41dTlX1Uc/slide-025.jpg]]

OCR text:

> _
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> : :
> -~
> ‘ aes
> 5 Pa
> rg a .
> +
> eS

![[assets/slides/KB41dTlX1Uc/slide-026.jpg]]

OCR text:

> fel sect ie
> 
> ~ ge

![[assets/slides/KB41dTlX1Uc/slide-027.jpg]]

OCR text:

> aie ad
> 
> \ > om

![[assets/slides/KB41dTlX1Uc/slide-028.jpg]]

OCR text:

> , 7 -
> ts |
> ‘ Nee 7 7 7

![[assets/slides/KB41dTlX1Uc/slide-029.jpg]]

OCR text:

> »
> 
> a

![[assets/slides/KB41dTlX1Uc/slide-030.jpg]]

OCR text:

> A Cd
> - ae
> en ao Lad as
> ee ; |

![[assets/slides/KB41dTlX1Uc/slide-031.jpg]]

OCR text:

> a ena
> 
> Ww,

![[assets/slides/KB41dTlX1Uc/slide-032.jpg]]

OCR text:

> ee rolled


## 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.