According to LessWrong, researcher Bruce Middleton shares prompt engineering techniques for forcing language models to reason more thoroughly. Called 'chain-of-thought forcing,' the method embeds structured rules in system prompts that cascade AI reasoning through multiple levels. By exploiting the context window, these techniques control output formatting and validate reasoning depth. Designed for Google's Gemini, the rules include mechanisms to detect context saturation. While technical and specialized, the work suggests practical methods to improve reasoning reliability in AI systems.

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