Unveiling the Ālaya-vijñāna System: A New Architecture for LLM Autonomy and Collaboration
Analysis
This article introduces the Ālaya-vijñāna System, a groundbreaking architecture designed to overcome the limitations of current 【Large Language Model (LLM)】s. It focuses on achieving 【Alignment】 and improving the decision-making of 【Agent】s through a multi-agent system, opening new possibilities for more robust and reliable AI systems.
Key Takeaways
- •The system comprises four phases focused on LLM 【Alignment】, multi-agent governance, long-term memory, and autonomous auditing.
- •Phase 1 aims to achieve self-governance of a single LLM through subtractive 【Alignment】 techniques.
- •The core module (v5.3 Core) is intentionally sealed, hinting at advanced proprietary technology.
Reference / Citation
View Original"This design document presents a **Public Specification** of the integrated architecture "Ālaya-vijñāna System (Ālaya-vijñāna System)" which solves the structural limitations of 【Large Language Model (LLM)】s."
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Qiita AIFeb 10, 2026 03:35
* Cited for critical analysis under Article 32.