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Rotating the Space: On LLMs as a Medium for Thought | rotating_the_space

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Rotating the Space: On LLMs as a Medium for Thought | rotating_the_space rotating_the_space Rotating the Space: On LLMs as a Medium for Thought The Problem with How People Think About LLMs Most people understand large language models through one of two frames: either as search engines that sometimes lie, or as automated content generators that produce text so you don’t have to. Both frames treat the LLM as a machine that takes a request and returns a product. You ask, it answers. You prompt, it produces. This framing leads to predictable debates. Is the output good enough? Is it accurate? Is i

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