If it Wanted to, it Would: The Bitter Lesson for LLM Users
Systems, like people, have things they "want" to do. Each model has patterns of reasoning and synthesis it performs naturally. Power users learn to align with these representational grooves to get the "best" results and the highest-signal reasoning per token.
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