AI's pitch problem mirrors a singer with no ears
A new research framework from GenXis Research explores how AI systems generate text that sounds right but drifts from truth and why the fix has to come from outside the model itself.
The room has good acoustics. The singer has warmed up. She knows the song. She begins. The first verse sounds fine. The melody is clear, the phrasing natural. By the second verse, something has shifted so slightly that only an outsider with a reference point would notice. By the third, she is unmistakably flat. She has not made a wrong note. Each syllable sits where it should, each phrase obeys its internal logic. The song is intact except for the key, and the key is gone. No one moment was wrong. The drift...
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