AI Is Learning to Hack. Faster Than We Expected.
说话人分离结果（匿名标签）。同目录的
transcript.md未作任何改动。 标签 → 真人姓名的映射属于编辑判断，请记在 wiki 视频页开头，见 CLAUDE.md。 分离在抢话/串场处会错配：标签是证据不是判决，与内容矛盾时以内容为准。
说话占比¶
| 说话人 | 时长 | 占比 |
|---|---|---|
| SPEAKER_02 | 00:10:33 | 43.1% |
| SPEAKER_01 | 00:08:24 | 34.4% |
| SPEAKER_03 | 00:05:25 | 22.2% |
| SPEAKER_00 | 00:00:04 | 0.3% |
（访谈里占比低的通常是主持人，可作为认人的线索之一。）
说话轮次¶
| 起 | 止 | 说话人 |
|---|---|---|
| 00:00:00 | 00:00:06 | SPEAKER_03 |
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