Efficient Prompting Philosophy: Steering LLMs like PhD Students
yunta_tsai · x · 2026-08-05
The author observes a massive efficiency gap when using LLMs for PRs: a few "token-efficient" individuals can manage dozens of PRs simultaneously with minimal tokens and high quality, while most users provide vague prompts, letting the model run wild and blow up token usage.
This is likened to managing a research lab—good professors direct students precisely for high productivity, while poor management leaves PhDs struggling for years. It highlights the importance of precise instruction and task decomposition in the AI era.
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