Cognitive Cells: A Compositional Framework for Populations of Small Language Models
3.60T1 sourcearXiv cs.MA
Source record
Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2608.28606.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryProposes a 'cognitive cell' framework: a fixed, frozen small language model as a constant unit for measuring how population size, communication topology, message bandwidth, and coordination protocols shape collective behavior. Experiments with 1.5B and 3B models show gains only when cell errors are uncorrelated, and simple voting outperforms debate, shared blackboard, and chain revision at matched cost.
Why it mattersEmpirical pushback on multi-agent hype: freezing a 1.5–3B LM as a fixed unit lets you measure when adding cells actually helps, and shows debate-style protocols losing to plain voting at equal cost.
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