Researchers have developed a functional model demonstrating how language models can "take" each other's internal states, akin to sharing memories. In this experiment, one language model (the receiver) was linked to another's internal memory, leading it to adopt its partner's assigned rule and code word in a significant majority of cases. This suggests that when internal states are shared, ownership defaults to "mine" unless external grounding is provided, highlighting the need for robust testing of ownership alongside transfer in future interconnected AI systems. AI
IMPACT This research highlights potential issues with internal state ownership and transfer in interconnected AI systems, suggesting a need for robust testing protocols.
RANK_REASON The cluster contains a research paper detailing a novel experiment with language models. [lever_c_demoted from research: ic=1 ai=1.0]
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