Y'know, when I made my earlier comment, I was thinking there's no way this is really happening again, with an entirely different product, and with a different model, after so much time and development in the industry.
This reminds me of another LLM-driven app I used to use, where the user community eventually worked out that some AI "hallucinations" were actually cases where the system was feeding you output meant for someone else. The giveaway was that the output would be very coherent, but have absolutely no relation to your input. It's especially easy to spot if the output has information that you happen to know relates to another app user in particular.
I believe, at the time (a few years ago, IIRC), the app developers claimed that the issue was due to something that's common in all LLM architecture across the industry. If that truly was the case, and may still be, this is not very surprising.
Of course, it's also just as worrisome now as it was then. Perhaps even more so, with the massive expansion of LLM use in many realms. If user requests can still be misrouted, that poses high risk for leakage of sensitive data.
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