Large-scale analysis of wild LLM chat logs finds that user interaction patterns stabilize quickly after initial use and correlate with long-term outcomes like retention, creating an agency paradox of limited exploration in unconstrained systems.
Title resolution pending
4 Pith papers cite this work. Polarity classification is still indexing.
4
Pith papers citing it
years
2026 4verdicts
UNVERDICTED 4representative citing papers
AI data firms view human expertise as an extractable, low-cost resource to feed AI systems while treating institutional expertise as something needing liberation or reform to fit this model.
A three-tension framework is introduced to help navigate the adoption of autonomous agentic AI systems in K-12 and higher education by addressing practical, temporal, and value-based challenges.
Generative AI applications carry risks of misrepresenting high-risk memories of WWII atrocities in Ukraine via hallucinations and selective moralization.
citing papers explorer
-
Priming, Path-dependence, and Plasticity: Understanding the molding of user-LLM interaction and its implications from (many) chat logs in the wild
Large-scale analysis of wild LLM chat logs finds that user interaction patterns stabilize quickly after initial use and correlate with long-term outcomes like retention, creating an agency paradox of limited exploration in unconstrained systems.
-
Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy
AI data firms view human expertise as an extractable, low-cost resource to feed AI systems while treating institutional expertise as something needing liberation or reform to fit this model.
-
Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption
A three-tension framework is introduced to help navigate the adoption of autonomous agentic AI systems in K-12 and higher education by addressing practical, temporal, and value-based challenges.
-
High-Risk Memories? Comparative audit of the representation of Second World War atrocities in Ukraine by generative AI applications
Generative AI applications carry risks of misrepresenting high-risk memories of WWII atrocities in Ukraine via hallucinations and selective moralization.