Is there a reliable way to detect when OpenAI silently updates the model behind an existing API version?
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OpenAI 相关模型动态已经出现，适合跟踪能力变化、生态影响和后续可用性。
一位开发者注意到，一个提示在数周内表现一致后，其输出突然发生了显著变化，怀疑是OpenAI在他们调用的API版本背后进行了未宣布的模型更新。他们质疑是否有可靠的方法在事后检测到此类静默更新，例如通过更新日志、响应元数据中的版本标识符或状态页面。这位开发者思考，是否只有固定到特定的日期模型快照才能有效防止这些未宣布的更改，特别是对于那些本应保持不变的快照。
Had a prompt behave consistently for weeks, then output shape shifted, more hedging, different formatting, a constraint that used to be respected got softer, with zero changes on my end. Best guess is a model update happened behind the version I'm calling, but I have no actual way to confirm that versus just being wrong about what changed.
Is there a real way to detect this after the fact, changelogs, a version identifier returned somewhere in the response metadata, a status page that logs these updates with dates? Or is pinning to a specific dated model snapshot the only actual protection against this, with no way to retroactively confirm an unannounced shift happened on a snapshot that's supposed to be frozen?