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Universe of Universes Framework Treats LLM Ecosystem as Retrieval Corpus
A new arXiv preprint proposes the Universe of Universes framework, which models the collection of major large language models as a structured corpus that can be queried rather than as isolated systems. The authors describe a compositional architecture combining automated reasoning and machine learning, and introduce concepts such as benefit yield functions, implosion thresholds, and infrastructure-aware optimization for coordinating multiple LLMs.