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Why DeepSeek V4's Prose Feels More Vivid Than Claude or GPT

DeepSeek V4 dropped this week with two open-weights models under MIT license — a 1.6 trillion parameter Pro and a 284 billion parameter Flash, both sporting million-token context windows at a fraction of the compute cost of Western flagships. But the conversation quickly turns to a more subjective question: why does DeepSeek's writing feel warmer, more rhythmic, more vivid than what Claude or GPT produces? This episode unpacks four plausible mechanisms — from a Chinese-heavy pretraining corpus rich in fiction, to domain-expert distillation that preserves stylistic variance, to sampling…

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