5arXiv cs.CL (Computation and Language)·
Small hyperbolic language models enable creativity, honesty detection, and designed forgetting for companion AI
Researchers present a suite of three small language models (146M to 3B parameters) built on a hyperbolic geometric substrate, targeting trustworthy companion AI. A 146M behavioral auditor achieves 90.7% binary-compliance accuracy and outperforms a frontier zero-shot judge (AUROC 0.804 vs 0.721) in detecting sycophancy, dependence-fostering, and confabulated memories across unseen generator families. A creative frame-seeder wins 100% of 311 pairwise comparisons over prompting baselines, and a memory OS implements exponential decay-based 'designed forgetting.' The work proposes a small-model alternative to frontier-scale approaches for companion AI safety and personalization.
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