Slides: Building safe Payment Infrastructure for the autonomous economy — Steve Kaliski, Stripe

Source Video

Building safe Payment Infrastructure for the autonomous economy — Steve Kaliski, Stripe

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:

Software Engineer @ Stripe

Spent 4 years leading our Issuing team

Spent last 2 years helping robots spend

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

Slide text:

Problems

01 Wrong place

02 Wrong thing

03 Wrong amount

04 Wrong credential

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.96
Text source: advanced OCR rapidocr-live/left-72/contrast reconciled by agent.
OCR decision: ready — dense code-like token object is better handled by OCR

Slide text:

Shared Payment Tokens

{

"id": "spt_1RgaZcFPC5QU06ZCDVZuVA8g",

"created": 1751580820,

"deactivated_at": null,

"deactivated_reason": null,

"usage_limits": {

"currency": "usd",

"expires_at": 1751587220,

"max_amount": 1000

},

"seller_details": {

"network_id": "merchant_name"

}

}

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.95
Text source: advanced OCR rapidocr-live/full reconciled by agent.
OCR decision: ready — dense code editor screenshot is OCR-suitable

Slide text:

try {

const paymentIntent = await sellerStripe.paymentIntents.create({

amount: 5000,

currency: "usd",

// shared_payment_grant: sharedPaymentGrantFromToken.id,

payment_method: "pm_card_visa",

confirm: true,

automatic_payment_methods: {

enabled: true,

allow_redirects: "never",

},

});

console.log("Payment intent created!", paymentIntent);

} catch (error) {

console.error("Error creating payment intent:", error);

throw error;

}

Recreated text/layout view: open HTML recreation
AI slide classifier: content_slide confidence 0.98
Text source: agent_vision.
OCR decision: ready — Diagram slide with small embedded protocol text that OCR is likely to read better than manual transcription.

Slide text:

Machine Payments Protocol

Hidden Non-Slide Evidence

`slide-001.jpg` — speaker_stage confidence 0.98; speaker on stage with cropped slide, not a full presentation slide
`slide-003.jpg` — speaker_stage confidence 0.98; speaker on stage with cropped slide, not a full presentation slide
`slide-007.jpg` — demo_video confidence 0.14; Stage/demo footage with terminal and presenter overlay; not a readable presentation slide.
`slide-008.jpg` — demo_video confidence 0.16; Stage/demo footage with code output and presenter overlay; not a readable presentation slide.
`slide-010.jpg` — demo_video confidence 0.99; Demo/video footage with stage context, not a readable presentation slide.

Classification audit: raw/sources/slide-ai-classification/slides/KLSuFPj2ld0/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.