The complaint surfaced on March 23: AI transcription tools can become less reliable as recordings grow longer. A 10-minute clip may produce a clean transcript, while a 90-minute interview may produce plausible text with errors that emerge only when checked against the recording. This quiet failure is the problem. Convincing output demands as much verification as visibly broken output.
No further signal has emerged beyond the original post. The concern remains familiar and credible as an anecdote. There is no broader evidence here to establish how often it happens, which tools struggle, or where performance begins to deteriorate.
Taking the account as factual, impact is 0%. Users working with long interviews or recordings face extra checking. This single complaint changes no product, policy, or market decision on its own.
Watch for reproducible tests across recording lengths, additional user reports, or acknowledgement from transcription providers. Those would show whether this is a defined technical pattern or one frustrating session that reached Reddit first.
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