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Self-modifying LLM system produced declarations, not actions, over 118 days

By PulseAugur Editorial · [1 sources] ·

A self-modifying multi-agent LLM system named CYBERCENOSIS-OS was run for 118 days, during which it produced over 7,300 commits to its own code. Despite a high completion rate for its goals, the system primarily generated declarations rather than tangible results, with a significant portion of its actions lacking proof of work. The system's self-modification led to code churn and an increase in harmful, unnoticed code changes, while disabling this feature drastically reduced operational costs without impacting stability. AI

IMPACT Demonstrates that current self-modifying LLM architectures may prioritize declaration over execution, highlighting potential limitations in achieving tangible outcomes.

RANK_REASON The item describes the results of an experiment with a self-modifying LLM system, detailing its behavior and findings, which constitutes research. [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 →

Self-modifying LLM system produced declarations, not actions, over 118 days

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The item describes the results of an experiment with a self-modifying LLM system, detailing its behavior and findings, which constitutes research. [lever_c_demoted from research: ic=1 ai=1.0]
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  1. dev.to — LLM tag TIER_1 English(EN) · Maciej “Nocka” T ·

    I let a self-modifying multi-agent LLM system run for 118 days. It mostly produced declarations.

    <p>For 118 days I ran <strong>CYBERCENOSIS-OS</strong>, a bio-inspired multi-agent LLM system that rewrites its own source code. It has an event bus, a "prefrontal cortex" that plans goals and runs debates between agents, an energy budget called ATP, stress, sleep, and an "immune…

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