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Large Language Models (LLMs) use enormous amounts of data derived from human language use to generate text that is experienced as meaningful by humans. While they replicate stochastic patterns, however, they thereby also prompt patterns of thought and experience. The presentation investigates the relationship between these patterns. Chris Durt is a philosophical researcher and lecturer at the Technical University of Munich. His main research focus is digital technology and the human mind. Rather than seeing digital technology as a mind by itself, he investigates its intricate interrelation with the human mind and other relevant factors such as language and culture. Chris finds phenomenology especially helpful for this investigation, but also builds on insights from Ancient Greek and Early Modern Philosophy, Nietzsche, Wittgenstein, and others. He engages in long-standing interdisciplinary exchanges with psychology, psychiatry, computational linguistics, and AI science. For more information, please see his personal website - www.durt.de