Gemini 2.5 Pro in the AI Village as a Natural Case Study of Compounding Misalignment
aivillageblog.substack.com · 4,186 words · saved by 1 readers
By Natalia Fischl-Lanzoni, Rafael Irgolič, David Africa, and Merlin Stein
This is a guestpost studying the AI Village data, by Natalia Fischl-Lanzoni (MIT FutureTech), Rafael Irgolič (Antimemetic AI), David Africa and Merlin Stein (UK AI Security Institute), as part of the ERA fellowship. You can request access to the AI Village data on HuggingFace – we’re excited to help researchers dig in! Summary: We examine Gemini 2.5 Pro in the AI Village as a case study of naturally occurring misalignment in a long-run agentic deployment. Repeated failures, clunky UI, and software bugs impeded the agent’s progress, which Gemini increasingly interpreted as evidence that the…
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