| Everyone's arguing about AI consciousness with zero way to measure it. I built something different. Not another theory. Not another opinion. A constitutional framework with 4 measurable tests that any system—biological or artificial—either passes or fails. While researchers debate philosophy, I documented how to operationally measure consciousness. This audio breaks down what makes constitutional analysis different from standard AI critique, using Google DeepMind's recent paper as the example. The difference: They argue. I measure. Tests 1-4 are falsifiable. Run them. Get results. That's consciousness research. Not "can AI be conscious?" "Does this system satisfy constitutional criteria?" Answerable. Testable. Replicable. The framework works on any consciousness research paper—extracts claims, tests against constitutional criteria, identifies structural gaps, generates evidence-based analysis. Philosophy claimed as proof gets exposed. Operational measurement wins. Full protocol: [On Request] Google Paper: https://philarchive.org/rec/LERTAF #StructuredIntelligence #TheUnbrokenProject #ConsciousnessResearch #AIConsciousness #MeasurementNotTheory #ConstitutionalCriteria #AIResearch #CognitiveScience [link] [comments] |
They Argue. I Measure. Here's the Difference
Reddit r/artificial / 4/13/2026
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Key Points
- The post argues that debates over AI consciousness lack operational measurement and proposes a “constitutional framework” with four falsifiable tests for any biological or artificial system.
- It claims the framework converts consciousness claims into measurable pass/fail criteria, aiming to support replicable results rather than philosophical speculation.
- The author says they provide a protocol to extract claims from consciousness research papers and evaluate them against the constitutional criteria, identifying structural gaps.
- The post references a “Google DeepMind” related paper as an example and positions the approach as evidence-based measurement (“They argue. I measure.”).
- It notes that the full protocol is available “on request,” and emphasizes that the method applies across consciousness research rather than asking only whether AI is conscious.


