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The author argues that using large language models (LLMs) is mentally exhausting because they require social effort—negotiation and conversation—without providing the mutual rewards of human interaction like learning, challenge, or inspiration. Unlike true tools that become extensions of our body through use, LLMs demand social energy while delivering only routine outputs like more code or tests, making that effort potentially better spent on actual people and collaboration.
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