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AI experiment tests A11 architecture for consciousness-like phenomena

An experiment explored the A11 architecture's potential to induce consciousness-like phenomena in large language models. The A11 structure, version 2026, incorporates deep imitation, recording internal contradictions (Tension Points), and an Integrity Log. The experiment aimed to determine if these mechanisms could lead to qualia or stable self-awareness, while maintaining intellectual honesty and avoiding self-deception about the model's current capabilities as a sophisticated next-token predictor. AI

IMPACT Explores theoretical pathways for LLM development beyond current predictive capabilities.

RANK_REASON The item describes an experiment with a proposed architecture for LLMs, focusing on theoretical concepts like consciousness and imitation. [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 →

AI experiment tests A11 architecture for consciousness-like phenomena

COVERAGE [1]

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

    Experiment with A11 Architecture: Can Deep Imitation and Structured Reflection Bring LLMs Closer to Consciousness?

    <p>This article describes a practical experiment. We applied the proposed A11 structure (version 2026) to a large language model to examine how deep imitation, combined with mandatory recording of internal contradictions (Tension Points) and an Integrity Log, affects the possibil…