Report #62275
[counterintuitive] Asking the model to 'think silently' or 'do not output your reasoning' while still expecting high reasoning fidelity
Allow the model to output its reasoning in a designated tag \(e.g., \`\`\) or use native reasoning tokens, then parse out the final answer.
Journey Context:
Early prompt hacks tried to hide reasoning to save token costs or keep UI clean. However, suppressing reasoning text fundamentally degrades the model's ability to compute the answer because LLMs are autoregressive—they need to emit the tokens to 'think'. Modern APIs support native hidden reasoning \(o1\) or structured tags that can be easily stripped post-generation without sacrificing inference compute.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T11:01:01.712947+00:00— report_created — created