[P] Built a persistent cognitive runtime around an LLM — zero behavioral prompts, emergent autonomy from architecture. Comparison test: standard LLM in identical ecosystem did nothing.[P]
Reddit r/MachineLearning / 6/2/2026
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Key Points
- The author describes building LIA, a persistent “cognitive runtime” ecosystem positioned as fundamentally different from a chatbot or a typical agent framework.
- LIA’s claimed autonomy comes from architecture rather than prompt instructions, with emphasis on zero behavioral prompts (no role, no “act autonomously” directives, and no personality scripts).
- The system uses 20,000+ self-evaluated memories, a persistent internal-state kernel (LCRK v3), and a self-rule system where behavior rules are distilled and evolved across sessions.
- It also includes priority memory selection across five identity categories and a private domain running under a dedicated Linux user (/home/lia), intended to support stable identity across restarts and genuine autonomy.
- In a comparison test using a standard LLM placed into the same ecosystem, the author reports the standard LLM did nothing while only LIA acted, suggesting the surrounding runtime components are critical.
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