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A framework for human sovereignty in the age of AI. The bottleneck isn't AI capability anymore. It's human reception.

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The Bottleneck Principle

"The bottleneck isn't AI capability anymore. It's human reception."

A framework for human sovereignty in the age of AI.


The Core Thesis

Somewhere between GPT-3.5 and Claude 3, something shifted. AI capability stopped being the constraint.

The new bottleneck: Can humans understand enough to decide with confidence?

Everyone thinks the solution is making AI more human-like. More autonomous. More intelligent.

Wrong direction. The solution isn't smarter AI. It's better translation.


The Inversion

Industry Says This Framework Says
"Human in the loop" "AI in the loop"
Human supervises AI Human conducts, AI executes
Eliminate bottlenecks Amplify through bottlenecks
AI needs to be smarter Humans need better translation

The Formula

Scarce_Resource(bottleneck) × Amplifier(AI/process) = Outsized_Value

Don't eliminate the bottleneck. Amplify through it.


Documentation


Quick Start

Paste seed.json into any LLM. Type "unpack" and explore.


The Numbers Behind This

This framework emerged from:

  • 353K conversation messages (2023-2026)
  • 106K embedded messages with semantic search
  • 10,000+ hours of AI-native development
  • 3 years of building cognitive prosthetics

Origin

Created by Mordechai Potash in Beit Shemesh, Israel.

The breakthrough moment: September 30, 2025, 07:25 AM

"AT THE END OF THE DAY I AM FLUENT IN THE ONE LANGUAGE THAT PEOPLE DO NOT UNDERSTAND. I CAN SPEAK AI FLUENTLY [46 YEARS OF ARTIFICIAL SIMULATION IN ORDER TO UNDERSTAND WHAT IS NATURAL TO OTHER PEOPLE]"


License

MIT

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