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    <title>Local Llm on VibePapa — Tech from the Boseong River</title>
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      <title>Local Qwen vs Gemini for Fixing a Transcript: 50 Minutes Free vs 2.3 Minutes for 9 Cents</title>
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      <pubDate>Thu, 22 Oct 2026 08:31:33 +0900</pubDate>
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      <description>I wanted to correct speech-to-text errors in a Korean sermon transcript without sending it to a cloud API, so I tried a local Qwen model. It took about 50 minutes and made new mistakes. Gemini took 2.3 minutes and cost $0.086. The comparison, with numbers and what each model got wrong.</description>
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      <title>I Marked Who Was Speaking by Ear, Then Graded the AI&#39;s Speaker Labels Against My Marks</title>
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      <pubDate>Thu, 22 Oct 2026 07:50:08 +0900</pubDate>
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      <description>My local speech-to-text pipeline labeled who was talking in a 39-minute audio file, and I wasn&amp;#39;t sure it was right. I marked one speaker&amp;#39;s turns by hand while listening, then compared. The AI was right 91.5% of the time, and a script did the math instead of a language model.</description>
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