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Language models trained on synthetic data may not reflect the true nature of the languages they represent, challenging our assumptions about their utility in linguistic studies.
Even with extensive data and advanced algorithms, predicting childbirth remains frustratingly imprecise, with chance playing a larger role than expected.
LLMs struggle to balance rule compliance and effective communication in Taboo, revealing a significant gap in their guessing abilities compared to humans.
