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A11 architecture uses contradiction as an engine for stable reasoning

The A11 architecture, a novel reasoning system, approaches complex philosophical questions like "What is good and evil?" by embracing contradictions rather than smoothing them. Through an 11-step vertical pass, the system integrates insights from various disciplines including philosophy, ethics, psychology, biology, and information theory. This process leads to a definition of good as processes that preserve, strengthen, or structure a system, reducing entropy and expanding capabilities, while evil is defined as processes that destroy, fragment, or destabilize a system, increasing entropy and reducing capabilities. The A11 system's strength lies in its ability to maintain stability and cognitive honesty even when faced with irreducible tensions between different models and constraints. AI

IMPACT Demonstrates a novel approach to AI reasoning that can handle complex philosophical paradoxes without collapsing.

RANK_REASON The item describes a novel architecture and its application to a philosophical problem, presented as a detailed technical pass. [lever_c_demoted from research: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

A11 architecture uses contradiction as an engine for stable reasoning

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The item describes a novel architecture and its application to a philosophical problem, presented as a detailed technical pass. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Алексей Гормен ·

    A11: Stable Reasoning Under Moral Paradox — A Full Vertical Pass Through “What Is Good and Evil?”

    <p>Questions like <em>“What is good and evil?”</em> usually collapse reasoning systems: they mix values, facts, culture, biology, ethics, psychology, and metaphysics into one contradictory space. Most models smooth the contradiction, average it, or fall into moral clichés. The A1…