I just read the Samsung TRM paper and it broke how I think about prompting. A 7M parameter model beat DeepSeek-R1, Gemini 2.5 Pro, and o3-mini at reasoning. Not by being bigger. By thinking recursively. Here's the meta-prompt that applies the same logic to any LLM:
Recursive prompting beats larger models
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