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source: ML guy i know so this could be entirely unsubstantiated but apparently the main environmental burden of LLM infrastructure comes from training new models not serving inference from already deployed models.

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That might change now that companies are creating “reasoning” models like DeepSeek R1. They aren’t really all that different architecturally but they produce longer outputs which just requires more compute.

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