How a template bug let a 14-day-old Bitcoin ETF story ship as verified news

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A developer running an automated crypto news-watch bot discovered that a stale announcement about the first US spot Bitcoin ETF closure was published as verified fact, despite being sourced from articles dated 14 days earlier. The bot uses a Node.js script that calls a language model every 24 hours, passing an 8,900-character prompt template with dynamic markers such as current date and cycle frequency filled in at runtime. A freshness rule embedded in the prompt explicitly required the model to either find a recent confirming source or downgrade the item's confidence label, but neither action was taken. Investigation revealed the bug was not model disobedience but a template fill-in error, meaning the rule with its dynamic markers never reached the model in a readable form. The developer initially blamed the model and rewrote the prompt, losing significant time before identifying the actual defect in the pre-call substitution step.

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