OpenAI’s Plan to Make ChatGPT the Everything App — Akshay Nathan, OpenAI
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_01 | 00:44:32 | 62.4% |
| SPEAKER_02 | 00:16:01 | 22.5% |
| SPEAKER_00 | 00:10:47 | 15.1% |
（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 | 00:00:42 | SPEAKER_01 |
| 00:00:43 | 00:00:47 | SPEAKER_02 |
| 00:00:47 | 00:00:47 | SPEAKER_01 |
| 00:00:47 | 00:01:28 | SPEAKER_02 |
| 00:01:32 | 00:02:01 | SPEAKER_02 |
| 00:02:01 | 00:03:02 | SPEAKER_01 |
| 00:03:02 | 00:03:12 | SPEAKER_00 |
| 00:03:12 | 00:03:13 | SPEAKER_01 |
| 00:03:13 | 00:03:13 | SPEAKER_00 |
| 00:03:13 | 00:03:42 | SPEAKER_01 |
| 00:03:24 | 00:03:24 | SPEAKER_02 |
| 00:03:24 | 00:03:26 | SPEAKER_00 |
| 00:03:42 | 00:04:08 | SPEAKER_01 |
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| 00:04:22 | 00:05:27 | SPEAKER_01 |
| 00:05:27 | 00:05:28 | SPEAKER_02 |
| 00:05:28 | 00:05:28 | SPEAKER_01 |
| 00:05:28 | 00:05:29 | SPEAKER_02 |
| 00:05:29 | 00:05:38 | SPEAKER_01 |
| 00:05:35 | 00:05:36 | SPEAKER_02 |
| 00:05:39 | 00:05:52 | SPEAKER_01 |
| 00:05:52 | 00:06:07 | SPEAKER_00 |
| 00:06:08 | 00:06:56 | SPEAKER_01 |
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| 00:09:13 | 00:10:54 | SPEAKER_01 |
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| 00:15:37 | 00:15:41 | SPEAKER_00 |
| 00:15:41 | 00:15:46 | SPEAKER_01 |
| 00:15:42 | 00:15:48 | SPEAKER_00 |
| 00:15:50 | 00:15:56 | SPEAKER_02 |
| 00:15:55 | 00:16:00 | SPEAKER_01 |
| 00:15:56 | 00:16:00 | SPEAKER_02 |
| 00:16:00 | 00:16:09 | SPEAKER_01 |
| 00:16:09 | 00:16:09 | SPEAKER_02 |
| 00:16:10 | 00:16:16 | SPEAKER_01 |
| 00:16:16 | 00:16:37 | SPEAKER_02 |
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| 00:16:37 | 00:16:37 | SPEAKER_02 |
| 00:16:39 | 00:17:52 | SPEAKER_01 |
| 00:17:53 | 00:18:15 | SPEAKER_00 |
| 00:18:12 | 00:18:13 | SPEAKER_02 |
| 00:18:15 | 00:18:27 | SPEAKER_00 |
| 00:18:28 | 00:19:37 | SPEAKER_01 |
| 00:19:37 | 00:19:52 | SPEAKER_02 |
| 00:19:52 | 00:19:52 | SPEAKER_00 |
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| 00:19:52 | 00:19:52 | SPEAKER_00 |
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| 00:19:58 | 00:20:14 | SPEAKER_01 |
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| 00:20:58 | 00:21:05 | SPEAKER_02 |
| 00:21:04 | 00:21:09 | SPEAKER_00 |
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| 00:21:17 | 00:21:34 | SPEAKER_01 |
| 00:21:34 | 00:21:37 | SPEAKER_02 |
| 00:21:35 | 00:21:40 | SPEAKER_00 |
| 00:21:39 | 00:21:49 | SPEAKER_02 |
| 00:21:49 | 00:21:49 | SPEAKER_00 |
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| 00:22:10 | 00:22:29 | SPEAKER_02 |
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| 00:22:34 | 00:22:34 | SPEAKER_00 |
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| 00:22:50 | 00:23:15 | SPEAKER_02 |
| 00:23:15 | 00:24:07 | SPEAKER_01 |
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| 00:24:32 | 00:24:36 | SPEAKER_00 |
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| 00:24:59 | 00:25:01 | SPEAKER_02 |
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| 00:25:04 | 00:25:06 | SPEAKER_00 |
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| 00:25:20 | 00:25:31 | SPEAKER_02 |
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| 00:26:48 | 00:27:30 | SPEAKER_01 |
| 00:27:30 | 00:28:50 | SPEAKER_02 |
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| 00:28:14 | 00:28:15 | SPEAKER_00 |
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| 00:32:47 | 00:33:14 | SPEAKER_00 |
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| 00:33:59 | 00:33:59 | SPEAKER_00 |
| 00:33:59 | 00:34:04 | SPEAKER_01 |
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| 00:34:31 | 00:34:48 | SPEAKER_01 |
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| 00:41:21 | 00:42:09 | SPEAKER_00 |
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| 00:43:11 | 00:43:26 | SPEAKER_02 |
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| 00:44:14 | 00:44:39 | SPEAKER_02 |
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