no single signal separates agreement from parallel conduct among llm sellers
publishedno single signal reliably separated real agreement from parallel pricing among LLM sellers.
oct 2026 · apart researchread paper
details
tests whether auditors can tell real agreement between llm sellers from parallel pricing, using no-channel markets as decoys. planted agreements raised the collusion index well above baseline, but no single signal reliably separated agreement from parallel conduct.
AI safetymulti-agentcollusionauditing
failing without refusing: effective yield of open-weight models under forensic artifact load
publishedopen-weight models rarely refuse forensic work but silently fail on 17.3% of prompts.
sep 2026 · apart researchread paper
details
tests whether self-hostable open-weight models can take over forensic analysis that hosted models refuse. across 2,758 graded prompts on two models, refusals were rare (0.15%) but 17.3% of prompts got silent non-answers, and partial redaction gave the best effective yield (60.2% against 38.6% for raw artifacts).
AI safetyincident responseopen-weight models
distress representations in language models are referent-specific
publisheda model's own distress is represented separately from distress attributed to others.
aug 2026 · apart research · with moyinoluwa ogunjobiread paper
details
welfare evaluations of language models often confuse internal distress directions with the sentiment of the text or with distress attributed to others. varying only the referent (the model itself, another model, or a fictional android), self-referential and other-referential distress representations separate across six open-weight models, and self-reported valence tracks the self-specific component.
digital mindsinterpretabilityAI safety