Thesis

Recursive General Intelligence

AGI optimises for capability. Sencor's thesis is that the load-bearing question is not "how powerful is the model" but "how do you know it is right". This page is the long-form argument.

RGI vs AGI

[THESIS_SECTION_RGI-VS-AGI — body paragraphs]

Faster horse vs AI-native architecture

[THESIS_SECTION_FASTER-HORSE — body paragraphs]

The substrate is the moat

[THESIS_SECTION_SUBSTRATE-IS-THE-MOAT — body paragraphs]

Verification as infrastructure

[THESIS_SECTION_VERIFICATION-INFRA — body paragraphs]

Multi-epistemic, not multilingual

[THESIS_SECTION_MULTICIVILISATIONAL — body paragraphs]

Path dependency and urgency

[THESIS_SECTION_PATH-DEPENDENCY — body paragraphs]

Developmental alignment vs containment

[THESIS_SECTION_DEVELOPMENTAL-ALIGNMENT — body paragraphs]

Competition is institutional inertia

[THESIS_SECTION_INSTITUTIONAL-INERTIA — body paragraphs]

The recursive flywheel

[THESIS_SECTION_FLYWHEEL — body paragraphs]

Kindness as rational strategy

[THESIS_SECTION_KINDNESS — body paragraphs]