TimeCapsule: Generative Hallucination as a Method for Historical Sensemaking
TimeCapsule is a 1.2B-parameter model trained exclusively on Victorian-era texts to reduce temporal bias in historical sensemaking.
Large Language Models often struggle with historical accuracy due to contemporary training data. TimeCapsule acts as an epistemologically isolated archive, achieving a 45.4% reduction in perplexity compared to GPT-2 on Victorian-era corpora by focusing solely on 1800-1875 literature.