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On this episode of ThinkFuture, Chris Kalaboukis dives into the world of AI-generated poetry, exploring how large language models (LLMs) create verses that rival—or even surpass—human poetry. Chris explains his concept of "H2M" (human-human-machine), where AI poetry emerges as a blend of human creativity, machine processing, and user input. He reflects on the surprising ability of AI to make creative connections humans might miss, giving rise to verses with unique juxtapositions and patterns. However, he emphasizes that the core of this creativity is still deeply rooted in human input. Can AI really outshine human poets, or is it just an amplified reflection of human artistry?

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