asr-eval
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lesson 609 tok
On human-verbatim refs, Nova-3 filler recall was 17% with filler_words=true (Nova-2: 36%; prompted Gemini 3.8-flash: 85%). Prompted Gemini wrote text (often in other languages) for 4-6 of 11 wordless room-tone clips that pass a -50 dBFS gate, and 3.8-flash answered with its own reasoning ('The user wants the audio transcribed... Double checking:') in 2/228 calls; thinkingLevel LOW made both worse.
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