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  "path": "/t/a-simple-idea-separating-a-thinker-and-observer-model-to-detect-reasoning-loops/174134#post_4",
  "publishedAt": "2026-03-11T01:47:41.000Z",
  "site": "https://discuss.huggingface.co",
  "tags": [
    "GitHub - Nyrok/flompt: flow + prompt = flompt - Visual AI Prompt Builder. Decompose, edit as flowchart, recompile into optimized machine-readable prompts · GitHub"
  ],
  "textContent": "The Thinker/Observer separation is a clean framing. The key insight is that the system evaluating its own output has an inherent conflict of interest, which is exactly why external verification works better than self-critique.\n\nOne place this shows up at the prompt level: when you embed reasoning instructions directly inside a generation prompt, the model treats them as soft guidelines. Splitting them into explicit blocks changes the behavior. A dedicated chain-of-thought block tells the model to reason first and produce output second, rather than interleaving both.\n\nI’ve been building flompt around this idea. It decomposes prompts into 12 semantic blocks including a chain_of_thought block that separates the reasoning pass from the output. In practice it produces cleaner results than unstructured prompts, which connects to what you’re exploring at the architecture level. Open-source: GitHub - Nyrok/flompt: flow + prompt = flompt - Visual AI Prompt Builder. Decompose, edit as flowchart, recompile into optimized machine-readable prompts · GitHub",
  "title": "A simple idea: separating a \"Thinker\" and \"Observer\" model to detect reasoning loops"
}