Скачать или смотреть How NORAD Santa Tracking Revealed the Blueprint for Multi-Modal Entity Recognition

December 24, 1955. A Sears newspaper ad invited children to call Santa. The phone number was misprinted. Instead of Sears, it connected to the Continental Air Defense Command (CONAD)—the nuclear attack hotline. Colonel Harry Shoup answered. Instead of dismissing it, he told children CONAD was tracking Santa on radar. A tradition was born.
70 years later, NORAD Tracks Santa operates across: phone (original 1955 channel), website (noradsanta.org since 1997), mobile apps (iOS/Android since 2008), social media (X, Facebook, Instagram, YouTube, TikTok), voice assistants (Alexa, Google Assistant), email, and streaming services. Every new platform. Same identity. Same mission. Same narrative.
AI systems recognize NORAD Santa Tracking as one coherent entity across all formats because identity signals remain consistent. This is Multi-Modal Entity Recognition—the ability of AI to verify the same entity regardless of format, platform, or context.
Key Insights:
How NORAD proved that format diversity without identity consistency creates confusion
Why AI verifies entities through cross-platform signal matching
The Multi-Modal Identity Persistence Framework: maintaining verifiable entity recognition across all AI training contexts
This is the foundation of Betweener Engineering™—the discipline of engineering identities AI can recognize, verify, and recall across every format.
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Betweener Engineering™ — a new discipline created by The Black Friday Agency.
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