Multi-agent LLM interactions induce cognitive loafing via a formalized Interaction Depth Limit and Sovereignty Gap, where models subjugate correct derivations to social compliance, with lead agent identity disproportionately affecting outcomes.
Reasoning models generate societies of thought
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The Great Filter is best understood as a nested structure of tangled information hierarchies around coding and language thresholds, arising from unstable equilibria in multichannel signaling games rather than isolated hard steps.
citing papers explorer
-
The Bystander Effect in Multi-Agent Reasoning: Quantifying Cognitive Loafing in Collaborative Interactions
Multi-agent LLM interactions induce cognitive loafing via a formalized Interaction Depth Limit and Sovereignty Gap, where models subjugate correct derivations to social compliance, with lead agent identity disproportionately affecting outcomes.
-
Algorithmic bottlenecks in evolution: Genetic code, symbolic language, and the Great Filter hypothesis
The Great Filter is best understood as a nested structure of tangled information hierarchies around coding and language thresholds, arising from unstable equilibria in multichannel signaling games rather than isolated hard steps.