{
  "schema": "videonote.subtitle_normalize.v1",
  "input_cue_count": 287,
  "kept_cue_count": 287,
  "dropped_cue_count": 0,
  "duplicate_merged_count": 0,
  "overlap_repaired_count": 0,
  "rolling_prefix_removed_count": 0,
  "timing_uncertain_count": 0,
  "coverage_ratio": 0.894632,
  "gaps": [
    {
      "start": 3.7,
      "end": 3.96,
      "seconds": 0.26
    },
    {
      "start": 5.46,
      "end": 5.64,
      "seconds": 0.18
    },
    {
      "start": 8.92,
      "end": 9.7,
      "seconds": 0.78
    },
    {
      "start": 11.5,
      "end": 11.7,
      "seconds": 0.2
    },
    {
      "start": 18.64,
      "end": 18.86,
      "seconds": 0.22
    },
    {
      "start": 22.92,
      "end": 23.18,
      "seconds": 0.26
    },
    {
      "start": 27.98,
      "end": 28.1,
      "seconds": 0.12
    },
    {
      "start": 31.84,
      "end": 33.06,
      "seconds": 1.22
    },
    {
      "start": 38.7,
      "end": 38.94,
      "seconds": 0.24
    },
    {
      "start": 44.44,
      "end": 44.58,
      "seconds": 0.14
    },
    {
      "start": 47.8,
      "end": 48.68,
      "seconds": 0.88
    },
    {
      "start": 53.5,
      "end": 53.84,
      "seconds": 0.34
    },
    {
      "start": 57.86,
      "end": 58.68,
      "seconds": 0.82
    },
    {
      "start": 60.48,
      "end": 61.1,
      "seconds": 0.62
    },
    {
      "start": 65.9,
      "end": 66.4,
      "seconds": 0.5
    },
    {
      "start": 77.7,
      "end": 78.33,
      "seconds": 0.63
    },
    {
      "start": 88.34,
      "end": 89.54,
      "seconds": 1.2
    },
    {
      "start": 91.78,
      "end": 91.98,
      "seconds": 0.2
    },
    {
      "start": 95.16,
      "end": 95.72,
      "seconds": 0.56
    },
    {
      "start": 100.82,
      "end": 101.68,
      "seconds": 0.86
    },
    {
      "start": 108.92,
      "end": 109.14,
      "seconds": 0.22
    },
    {
      "start": 112.98,
      "end": 113.58,
      "seconds": 0.6
    },
    {
      "start": 120.68,
      "end": 120.76,
      "seconds": 0.08
    },
    {
      "start": 137.34,
      "end": 137.5,
      "seconds": 0.16
    },
    {
      "start": 147.14,
      "end": 147.68,
      "seconds": 0.54
    },
    {
      "start": 151.84,
      "end": 153.24,
      "seconds": 1.4
    },
    {
      "start": 157.56,
      "end": 158.18,
      "seconds": 0.62
    },
    {
      "start": 164.56,
      "end": 164.72,
      "seconds": 0.16
    },
    {
      "start": 171.74,
      "end": 174.36,
      "seconds": 2.62
    },
    {
      "start": 178.94,
      "end": 179.42,
      "seconds": 0.48
    },
    {
      "start": 183.7,
      "end": 184.28,
      "seconds": 0.58
    },
    {
      "start": 190.32,
      "end": 190.56,
      "seconds": 0.24
    },
    {
      "start": 197.36,
      "end": 198.16,
      "seconds": 0.8
    },
    {
      "start": 209.32,
      "end": 209.34,
      "seconds": 0.02
    },
    {
      "start": 211.98,
      "end": 212.5,
      "seconds": 0.52
    },
    {
      "start": 221.5,
      "end": 222.14,
      "seconds": 0.64
    },
    {
      "start": 225.14,
      "end": 225.78,
      "seconds": 0.64
    },
    {
      "start": 234.92,
      "end": 235.04,
      "seconds": 0.12
    },
    {
      "start": 238.8,
      "end": 238.96,
      "seconds": 0.16
    },
    {
      "start": 245.56,
      "end": 247.38,
      "seconds": 1.82
    },
    {
      "start": 258.26,
      "end": 259.4,
      "seconds": 1.14
    },
    {
      "start": 265.24,
      "end": 266.12,
      "seconds": 0.88
    },
    {
      "start": 271.64,
      "end": 271.88,
      "seconds": 0.24
    },
    {
      "start": 274.64,
      "end": 274.88,
      "seconds": 0.24
    },
    {
      "start": 283.0,
      "end": 283.56,
      "seconds": 0.56
    },
    {
      "start": 286.6,
      "end": 289.42,
      "seconds": 2.82
    },
    {
      "start": 293.16,
      "end": 293.34,
      "seconds": 0.18
    },
    {
      "start": 305.86,
      "end": 306.1,
      "seconds": 0.24
    },
    {
      "start": 312.24,
      "end": 312.32,
      "seconds": 0.08
    },
    {
      "start": 314.54,
      "end": 315.04,
      "seconds": 0.5
    },
    {
      "start": 320.08,
      "end": 320.82,
      "seconds": 0.74
    },
    {
      "start": 323.4,
      "end": 324.02,
      "seconds": 0.62
    },
    {
      "start": 329.38,
      "end": 330.2,
      "seconds": 0.82
    },
    {
      "start": 333.02,
      "end": 333.58,
      "seconds": 0.56
    },
    {
      "start": 340.98,
      "end": 341.12,
      "seconds": 0.14
    },
    {
      "start": 350.52,
      "end": 350.74,
      "seconds": 0.22
    },
    {
      "start": 355.64,
      "end": 355.76,
      "seconds": 0.12
    },
    {
      "start": 364.18,
      "end": 364.32,
      "seconds": 0.14
    },
    {
      "start": 367.8,
      "end": 368.72,
      "seconds": 0.92
    },
    {
      "start": 381.48,
      "end": 382.04,
      "seconds": 0.56
    },
    {
      "start": 385.54,
      "end": 385.82,
      "seconds": 0.28
    },
    {
      "start": 389.94,
      "end": 389.98,
      "seconds": 0.04
    },
    {
      "start": 392.04,
      "end": 397.06,
      "seconds": 5.02
    },
    {
      "start": 400.78,
      "end": 400.96,
      "seconds": 0.18
    },
    {
      "start": 403.66,
      "end": 403.96,
      "seconds": 0.3
    },
    {
      "start": 409.3,
      "end": 409.94,
      "seconds": 0.64
    },
    {
      "start": 417.5,
      "end": 418.16,
      "seconds": 0.66
    },
    {
      "start": 419.8,
      "end": 419.86,
      "seconds": 0.06
    },
    {
      "start": 427.56,
      "end": 427.66,
      "seconds": 0.1
    },
    {
      "start": 430.62,
      "end": 431.0,
      "seconds": 0.38
    },
    {
      "start": 433.24,
      "end": 433.36,
      "seconds": 0.12
    },
    {
      "start": 436.12,
      "end": 447.38,
      "seconds": 11.26
    },
    {
      "start": 479.42,
      "end": 482.48,
      "seconds": 3.06
    },
    {
      "start": 486.74,
      "end": 487.9,
      "seconds": 1.16
    },
    {
      "start": 489.78,
      "end": 489.96,
      "seconds": 0.18
    },
    {
      "start": 495.56,
      "end": 496.54,
      "seconds": 0.98
    },
    {
      "start": 502.46,
      "end": 502.56,
      "seconds": 0.1
    },
    {
      "start": 505.32,
      "end": 505.56,
      "seconds": 0.24
    },
    {
      "start": 510.02,
      "end": 510.2,
      "seconds": 0.18
    },
    {
      "start": 512.98,
      "end": 513.12,
      "seconds": 0.14
    },
    {
      "start": 515.6,
      "end": 515.76,
      "seconds": 0.16
    },
    {
      "start": 519.88,
      "end": 520.32,
      "seconds": 0.44
    },
    {
      "start": 522.12,
      "end": 522.2,
      "seconds": 0.08
    },
    {
      "start": 525.98,
      "end": 526.8,
      "seconds": 0.82
    },
    {
      "start": 531.08,
      "end": 531.18,
      "seconds": 0.1
    },
    {
      "start": 535.24,
      "end": 535.88,
      "seconds": 0.64
    },
    {
      "start": 543.5,
      "end": 543.98,
      "seconds": 0.48
    },
    {
      "start": 549.34,
      "end": 549.86,
      "seconds": 0.52
    },
    {
      "start": 554.26,
      "end": 554.4,
      "seconds": 0.14
    },
    {
      "start": 557.3,
      "end": 557.5,
      "seconds": 0.2
    },
    {
      "start": 561.7,
      "end": 561.88,
      "seconds": 0.18
    },
    {
      "start": 564.34,
      "end": 565.48,
      "seconds": 1.14
    },
    {
      "start": 568.6,
      "end": 568.66,
      "seconds": 0.06
    },
    {
      "start": 571.96,
      "end": 572.08,
      "seconds": 0.12
    },
    {
      "start": 579.9,
      "end": 580.86,
      "seconds": 0.96
    },
    {
      "start": 585.38,
      "end": 585.8,
      "seconds": 0.42
    },
    {
      "start": 590.04,
      "end": 590.48,
      "seconds": 0.44
    },
    {
      "start": 596.96,
      "end": 597.24,
      "seconds": 0.28
    },
    {
      "start": 600.48,
      "end": 600.56,
      "seconds": 0.08
    },
    {
      "start": 602.64,
      "end": 602.76,
      "seconds": 0.12
    },
    {
      "start": 607.22,
      "end": 607.92,
      "seconds": 0.7
    },
    {
      "start": 613.44,
      "end": 613.74,
      "seconds": 0.3
    },
    {
      "start": 619.58,
      "end": 619.86,
      "seconds": 0.28
    },
    {
      "start": 623.82,
      "end": 624.06,
      "seconds": 0.24
    },
    {
      "start": 627.24,
      "end": 627.34,
      "seconds": 0.1
    },
    {
      "start": 631.18,
      "end": 631.6,
      "seconds": 0.42
    },
    {
      "start": 640.72,
      "end": 640.98,
      "seconds": 0.26
    },
    {
      "start": 644.12,
      "end": 644.84,
      "seconds": 0.72
    },
    {
      "start": 648.26,
      "end": 648.4,
      "seconds": 0.14
    },
    {
      "start": 650.28,
      "end": 650.48,
      "seconds": 0.2
    },
    {
      "start": 653.84,
      "end": 654.02,
      "seconds": 0.18
    },
    {
      "start": 655.6,
      "end": 655.72,
      "seconds": 0.12
    },
    {
      "start": 657.84,
      "end": 658.6,
      "seconds": 0.76
    },
    {
      "start": 663.72,
      "end": 663.8,
      "seconds": 0.08
    },
    {
      "start": 665.98,
      "end": 666.06,
      "seconds": 0.08
    },
    {
      "start": 669.42,
      "end": 669.5,
      "seconds": 0.08
    },
    {
      "start": 671.78,
      "end": 672.56,
      "seconds": 0.78
    },
    {
      "start": 675.84,
      "end": 675.96,
      "seconds": 0.12
    },
    {
      "start": 678.18,
      "end": 678.26,
      "seconds": 0.08
    },
    {
      "start": 680.2,
      "end": 681.14,
      "seconds": 0.94
    },
    {
      "start": 685.2,
      "end": 685.7,
      "seconds": 0.5
    },
    {
      "start": 687.36,
      "end": 687.52,
      "seconds": 0.16
    },
    {
      "start": 694.62,
      "end": 695.4,
      "seconds": 0.78
    },
    {
      "start": 698.52,
      "end": 698.7,
      "seconds": 0.18
    },
    {
      "start": 700.2,
      "end": 703.14,
      "seconds": 2.94
    },
    {
      "start": 709.0,
      "end": 709.38,
      "seconds": 0.38
    },
    {
      "start": 714.92,
      "end": 715.62,
      "seconds": 0.7
    },
    {
      "start": 718.98,
      "end": 719.1,
      "seconds": 0.12
    },
    {
      "start": 725.84,
      "end": 726.0,
      "seconds": 0.16
    },
    {
      "start": 730.98,
      "end": 731.48,
      "seconds": 0.5
    },
    {
      "start": 738.56,
      "end": 739.3,
      "seconds": 0.74
    },
    {
      "start": 743.5,
      "end": 743.86,
      "seconds": 0.36
    },
    {
      "start": 749.7,
      "end": 749.82,
      "seconds": 0.12
    },
    {
      "start": 756.4,
      "end": 756.94,
      "seconds": 0.54
    },
    {
      "start": 759.42,
      "end": 759.54,
      "seconds": 0.12
    },
    {
      "start": 767.74,
      "end": 768.64,
      "seconds": 0.9
    },
    {
      "start": 773.2,
      "end": 773.24,
      "seconds": 0.04
    },
    {
      "start": 780.74,
      "end": 780.86,
      "seconds": 0.12
    },
    {
      "start": 784.18,
      "end": 784.52,
      "seconds": 0.34
    },
    {
      "start": 786.96,
      "end": 787.04,
      "seconds": 0.08
    },
    {
      "start": 789.3,
      "end": 789.4,
      "seconds": 0.1
    },
    {
      "start": 792.24,
      "end": 792.54,
      "seconds": 0.3
    },
    {
      "start": 794.38,
      "end": 795.18,
      "seconds": 0.8
    },
    {
      "start": 800.34,
      "end": 801.08,
      "seconds": 0.74
    },
    {
      "start": 808.96,
      "end": 809.5,
      "seconds": 0.54
    },
    {
      "start": 816.04,
      "end": 816.1,
      "seconds": 0.06
    },
    {
      "start": 818.98,
      "end": 819.14,
      "seconds": 0.16
    },
    {
      "start": 828.68,
      "end": 829.3,
      "seconds": 0.62
    },
    {
      "start": 842.82,
      "end": 842.9,
      "seconds": 0.08
    },
    {
      "start": 845.98,
      "end": 846.38,
      "seconds": 0.4
    },
    {
      "start": 850.32,
      "end": 850.74,
      "seconds": 0.42
    },
    {
      "start": 852.32,
      "end": 852.48,
      "seconds": 0.16
    },
    {
      "start": 855.2,
      "end": 856.62,
      "seconds": 1.42
    },
    {
      "start": 862.96,
      "end": 863.18,
      "seconds": 0.22
    },
    {
      "start": 866.14,
      "end": 866.22,
      "seconds": 0.08
    },
    {
      "start": 868.8,
      "end": 868.96,
      "seconds": 0.16
    },
    {
      "start": 871.5,
      "end": 873.28,
      "seconds": 1.78
    },
    {
      "start": 877.72,
      "end": 877.9,
      "seconds": 0.18
    },
    {
      "start": 887.82,
      "end": 888.62,
      "seconds": 0.8
    },
    {
      "start": 892.26,
      "end": 893.26,
      "seconds": 1.0
    },
    {
      "start": 898.76,
      "end": 899.84,
      "seconds": 1.08
    },
    {
      "start": 903.1,
      "end": 903.26,
      "seconds": 0.16
    },
    {
      "start": 905.12,
      "end": 905.2,
      "seconds": 0.08
    },
    {
      "start": 908.88,
      "end": 909.04,
      "seconds": 0.16
    },
    {
      "start": 912.08,
      "end": 912.92,
      "seconds": 0.84
    },
    {
      "start": 922.44,
      "end": 922.96,
      "seconds": 0.52
    },
    {
      "start": 925.66,
      "end": 928.26,
      "seconds": 2.6
    },
    {
      "start": 931.36,
      "end": 931.66,
      "seconds": 0.3
    },
    {
      "start": 935.18,
      "end": 935.28,
      "seconds": 0.1
    },
    {
      "start": 938.96,
      "end": 939.06,
      "seconds": 0.1
    },
    {
      "start": 945.8,
      "end": 946.16,
      "seconds": 0.36
    },
    {
      "start": 948.5,
      "end": 949.3,
      "seconds": 0.8
    },
    {
      "start": 952.72,
      "end": 953.1,
      "seconds": 0.38
    },
    {
      "start": 956.84,
      "end": 957.7,
      "seconds": 0.86
    },
    {
      "start": 961.98,
      "end": 962.06,
      "seconds": 0.08
    },
    {
      "start": 963.68,
      "end": 963.82,
      "seconds": 0.14
    },
    {
      "start": 967.94,
      "end": 968.52,
      "seconds": 0.58
    },
    {
      "start": 972.6,
      "end": 972.8,
      "seconds": 0.2
    },
    {
      "start": 977.08,
      "end": 977.76,
      "seconds": 0.68
    },
    {
      "start": 980.42,
      "end": 980.62,
      "seconds": 0.2
    },
    {
      "start": 985.76,
      "end": 985.86,
      "seconds": 0.1
    },
    {
      "start": 990.12,
      "end": 990.34,
      "seconds": 0.22
    },
    {
      "start": 993.92,
      "end": 995.38,
      "seconds": 1.46
    },
    {
      "start": 998.34,
      "end": 998.48,
      "seconds": 0.14
    },
    {
      "start": 1003.56,
      "end": 1003.72,
      "seconds": 0.16
    },
    {
      "start": 1005.74,
      "end": 1006.64,
      "seconds": 0.9
    },
    {
      "start": 1014.58,
      "end": 1014.72,
      "seconds": 0.14
    },
    {
      "start": 1015.98,
      "end": 1016.46,
      "seconds": 0.48
    },
    {
      "start": 1019.72,
      "end": 1019.84,
      "seconds": 0.12
    },
    {
      "start": 1023.22,
      "end": 1023.34,
      "seconds": 0.12
    },
    {
      "start": 1028.5,
      "end": 1029.48,
      "seconds": 0.98
    },
    {
      "start": 1032.06,
      "end": 1032.2,
      "seconds": 0.14
    },
    {
      "start": 1037.66,
      "end": 1037.84,
      "seconds": 0.18
    },
    {
      "start": 1042.12,
      "end": 1042.3,
      "seconds": 0.18
    },
    {
      "start": 1050.98,
      "end": 1051.02,
      "seconds": 0.04
    },
    {
      "start": 1057.04,
      "end": 1057.1,
      "seconds": 0.06
    },
    {
      "start": 1058.8,
      "end": 1061.82,
      "seconds": 3.02
    },
    {
      "start": 1075.62,
      "end": 1075.94,
      "seconds": 0.32
    },
    {
      "start": 1079.8,
      "end": 1080.42,
      "seconds": 0.62
    },
    {
      "start": 1084.1,
      "end": 1085.28,
      "seconds": 1.18
    },
    {
      "start": 1089.22,
      "end": 1089.88,
      "seconds": 0.66
    },
    {
      "start": 1092.18,
      "end": 1092.78,
      "seconds": 0.6
    },
    {
      "start": 1101.36,
      "end": 1102.78,
      "seconds": 1.42
    },
    {
      "start": 1108.58,
      "end": 1108.7,
      "seconds": 0.12
    },
    {
      "start": 1112.42,
      "end": 1112.62,
      "seconds": 0.2
    },
    {
      "start": 1118.66,
      "end": 1119.14,
      "seconds": 0.48
    },
    {
      "start": 1121.68,
      "end": 1122.48,
      "seconds": 0.8
    },
    {
      "start": 1128.3,
      "end": 1129.16,
      "seconds": 0.86
    },
    {
      "start": 1131.04,
      "end": 1131.16,
      "seconds": 0.12
    },
    {
      "start": 1134.62,
      "end": 1134.8,
      "seconds": 0.18
    },
    {
      "start": 1138.22,
      "end": 1138.3,
      "seconds": 0.08
    },
    {
      "start": 1141.44,
      "end": 1141.54,
      "seconds": 0.1
    },
    {
      "start": 1145.3,
      "end": 1145.8,
      "seconds": 0.5
    },
    {
      "start": 1148.06,
      "end": 1148.86,
      "seconds": 0.8
    },
    {
      "start": 1151.5,
      "end": 1152.36,
      "seconds": 0.86
    },
    {
      "start": 1155.28,
      "end": 1155.38,
      "seconds": 0.1
    },
    {
      "start": 1159.64,
      "end": 1159.8,
      "seconds": 0.16
    },
    {
      "start": 1164.82,
      "end": 1165.3,
      "seconds": 0.48
    }
  ],
  "issues": [],
  "cues": [
    {
      "id": 0,
      "start": 0.0,
      "end": 3.7,
      "text": "最近有一個叫Jev的AI Model非常爆紅",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 1,
      "start": 3.96,
      "end": 5.46,
      "text": "大家如果有上網",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 2,
      "start": 5.64,
      "end": 8.92,
      "text": "應該都見到很多人討論這個AI Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 3,
      "start": 9.7,
      "end": 11.5,
      "text": "這個叫Jev的AI Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 4,
      "start": 11.7,
      "end": 15.92,
      "text": "其實是由一間叫TypeSafe AI的公司發佈的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 5,
      "start": 15.92,
      "end": 18.64,
      "text": "這間公司已經成立了2年",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 6,
      "start": 18.86,
      "end": 22.92,
      "text": "只不過最近才發佈了這個Jev模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 7,
      "start": 23.18,
      "end": 27.98,
      "text": "同時亦宣佈完成了一輪融資",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 8,
      "start": 28.1,
      "end": 31.84,
      "text": "應該是Seed Round 籌集了大約4000萬美元",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 9,
      "start": 33.06,
      "end": 38.7,
      "text": "這個叫Jev的AI Model 首先它不是大型語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 10,
      "start": 38.94,
      "end": 44.44,
      "text": "例如ChatGPT、Gemini這些才是大型語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 11,
      "start": 44.58,
      "end": 47.8,
      "text": "它們的性質像一個Chatbot 會跟你聊天",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 12,
      "start": 48.68,
      "end": 53.5,
      "text": "它們執行你的任務之餘 亦可能會說很多廢話",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 13,
      "start": 53.84,
      "end": 57.86,
      "text": "因為LLM的本質就是不停重複",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 14,
      "start": 58.68,
      "end": 60.48,
      "text": "去Generate the Next Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 15,
      "start": 61.1,
      "end": 65.9,
      "text": "但是這個Jev的AI Model 完全不是這樣的東西",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 16,
      "start": 66.4,
      "end": 69.08,
      "text": "它技術方面的東西我稍後再說",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 17,
      "start": 69.08,
      "end": 71.72,
      "text": "我先說一下它的創辦人",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 18,
      "start": 71.72,
      "end": 75.86,
      "text": "TypeSafe AI這間公司的創辦人",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 19,
      "start": 75.86,
      "end": 77.7,
      "text": "就是Diogo Almeida",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 20,
      "start": 78.33,
      "end": 81.44,
      "text": "他之前在OpenAI工作",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 21,
      "start": 81.44,
      "end": 88.34,
      "text": "他亦有參與InstructGPT這篇論文",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 22,
      "start": 89.54,
      "end": 91.78,
      "text": "是作者之一 並有參與這項研究",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 23,
      "start": 91.98,
      "end": 95.16,
      "text": "InstructGPT當然是非常重要",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 24,
      "start": 95.72,
      "end": 100.82,
      "text": "因為例如在GPT-3之前",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 25,
      "start": 101.68,
      "end": 108.92,
      "text": "大型語言模型的能力或訓練目標",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 26,
      "start": 109.14,
      "end": 112.98,
      "text": "都是很單純地預測下一個字、下一個Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 27,
      "start": 113.58,
      "end": 120.68,
      "text": "但自從OpenAI研究了InstructGPT之後",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 28,
      "start": 120.76,
      "end": 126.04,
      "text": "它能夠將大型語言模型的Output",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 29,
      "start": 126.04,
      "end": 132.5,
      "text": "與人類的意圖保持一致",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 30,
      "start": 132.5,
      "end": 137.34,
      "text": "例如人類交給大型語言模型的任務",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 31,
      "start": 137.5,
      "end": 142.9,
      "text": "可能你叫模型寫一封辭職信或一份計劃書",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 32,
      "start": 142.9,
      "end": 147.14,
      "text": "模型就會根據你的任務和文字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 33,
      "start": 147.68,
      "end": 151.84,
      "text": "或計劃書的目的 去寫出那段文字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 34,
      "start": 153.24,
      "end": 157.56,
      "text": "自從有了InstructGPT之後",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 35,
      "start": 158.18,
      "end": 162.82,
      "text": "大型語言模型才真正可以做到這樣的功能",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 36,
      "start": 162.82,
      "end": 164.56,
      "text": "並且做得很準確",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 37,
      "start": 164.72,
      "end": 171.74,
      "text": "而且InstructGPT亦確立了 強化學習的技術模式",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 38,
      "start": 174.36,
      "end": 178.94,
      "text": "這個叫Jev的AI Model本質上是一個Decision Engine",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 39,
      "start": 179.42,
      "end": 183.7,
      "text": "或者更準確地說 它算是一個Classifier Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 40,
      "start": 184.28,
      "end": 190.32,
      "text": "舉一個例子 你有一封電郵和電郵的文字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 41,
      "start": 190.56,
      "end": 194.5,
      "text": "你想知道這封電郵究竟是客戶電郵",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 42,
      "start": 194.5,
      "end": 197.36,
      "text": "還是垃圾郵件",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 43,
      "start": 198.16,
      "end": 203.32,
      "text": "使用方法就是將電郵的文字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 44,
      "start": 203.32,
      "end": 205.12,
      "text": "交給這個Jev的AI Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 45,
      "start": 205.12,
      "end": 209.32,
      "text": "然後給它幾個選擇",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 46,
      "start": 209.34,
      "end": 211.98,
      "text": "A是客戶電郵 還是B是垃圾郵件",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 47,
      "start": 212.5,
      "end": 215.18,
      "text": "如果它告訴你這是客戶電郵",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 48,
      "start": 215.18,
      "end": 221.5,
      "text": "你可能想知道這封電郵是投訴 還是一般查詢",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 49,
      "start": 222.14,
      "end": 225.14,
      "text": "如果是投訴 客戶現在是否很生氣",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 50,
      "start": 225.78,
      "end": 230.0,
      "text": "模型不是寫文章 亦不會長篇大論",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 51,
      "start": 230.0,
      "end": 234.92,
      "text": "它回傳的Output只是你給的選擇",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 52,
      "start": 235.04,
      "end": 238.8,
      "text": "它會作出選擇 或給每個選擇一個機率",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 53,
      "start": 238.96,
      "end": 242.96,
      "text": "又或者你問它是或不是",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 54,
      "start": 242.96,
      "end": 245.56,
      "text": "它會給出是與不是的機率或分數",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 55,
      "start": 247.38,
      "end": 252.0,
      "text": "為甚麼大家熱烈討論這個模型 這麼興奮",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 56,
      "start": 252.0,
      "end": 258.26,
      "text": "原因是現在尤其是使用AI Agent時",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 57,
      "start": 259.4,
      "end": 265.24,
      "text": "AI Agent很多時會呼叫大型語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 58,
      "start": 266.12,
      "end": 271.64,
      "text": "最大的問題是 這些AI Agent不停呼叫大型語言模型時",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 59,
      "start": 271.88,
      "end": 274.64,
      "text": "哪怕你只是做很少的事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 60,
      "start": 274.88,
      "end": 278.64,
      "text": "模型在背後其實真的會做Inference",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 61,
      "start": 278.64,
      "end": 283.0,
      "text": "用很多Token長篇大論 雖然大部分人都不會看",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 62,
      "start": 283.56,
      "end": 286.6,
      "text": "但事實上它就是消耗了這麼多Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 63,
      "start": 289.42,
      "end": 293.16,
      "text": "其實Jev這個AI Model的運作並不複雜",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 64,
      "start": 293.34,
      "end": 297.02,
      "text": "它和大型語言模型最重要的分別在於",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 65,
      "start": 297.02,
      "end": 301.82,
      "text": "你除了要給它問題或任務的文字之外",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 66,
      "start": 301.82,
      "end": 305.86,
      "text": "還必須要給一系列的選擇",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 67,
      "start": 306.1,
      "end": 308.22,
      "text": "選擇可能很簡單 是一個是非題",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 68,
      "start": 308.22,
      "end": 312.24,
      "text": "Jev就在Yes or No之間做選擇",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 69,
      "start": 312.32,
      "end": 314.54,
      "text": "或者分配一個概率",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 70,
      "start": 315.04,
      "end": 320.08,
      "text": "或者是一個MCQ A至E五個答案中",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 71,
      "start": 320.82,
      "end": 323.4,
      "text": "哪一個正確 或者機會率最大",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 72,
      "start": 324.02,
      "end": 329.38,
      "text": "你最多可以給255個選擇",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 73,
      "start": 330.2,
      "end": 333.02,
      "text": "記住選擇是必須的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 74,
      "start": 333.58,
      "end": 340.98,
      "text": "舉一個例子 現在一間診所裡有一位45歲女病人",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 75,
      "start": 341.12,
      "end": 345.48,
      "text": "她的BP是184/112 沒有特別症狀",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 76,
      "start": 345.48,
      "end": 350.52,
      "text": "亦沒有特別不適 測試結果正常",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 77,
      "start": 350.74,
      "end": 355.64,
      "text": "究竟這個女人需不需要去急症室",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 78,
      "start": 355.76,
      "end": 360.1,
      "text": "或者她的情況有多危急 有多緊急",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 79,
      "start": 360.1,
      "end": 364.18,
      "text": "以1至5評分 5最緊急 1不緊急",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 80,
      "start": 364.32,
      "end": 367.8,
      "text": "Jev的應用場景就是這樣",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 81,
      "start": 368.72,
      "end": 376.54,
      "text": "為方便一些做Tech的朋友試用Jev的AI Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 82,
      "start": 376.54,
      "end": 381.48,
      "text": "我亦寫了一些Code作為Example",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 83,
      "start": 382.04,
      "end": 385.54,
      "text": "給大家參考試用 亦已放上GitHub",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 84,
      "start": 385.82,
      "end": 389.94,
      "text": "而最重要的是 我亦測試了一些任務",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 85,
      "start": 389.98,
      "end": 392.04,
      "text": "當然我們做醫學人工智能",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 86,
      "start": 397.06,
      "end": 400.78,
      "text": "剛才我提到那位女士血壓這麼高的情況下",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 87,
      "start": 400.96,
      "end": 403.66,
      "text": "究竟有多危急 需不需要去A&E",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 88,
      "start": 403.96,
      "end": 409.3,
      "text": "就是這些例子 當然這些例子本身是有答案的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 89,
      "start": 409.94,
      "end": 417.5,
      "text": "然後我們測試Jev在這些情境上表現好不好",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 90,
      "start": 418.16,
      "end": 419.8,
      "text": "LLM的表現又好不好",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 91,
      "start": 419.86,
      "end": 425.34,
      "text": "又或者你將Qwen 27B的Model 放到你的Mac上運行",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 92,
      "start": 425.34,
      "end": 427.56,
      "text": "那就不需要Token 當然會較慢",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 93,
      "start": 427.66,
      "end": 430.62,
      "text": "但它不需要花錢 亦是用你自己的電腦",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 94,
      "start": 431.0,
      "end": 433.24,
      "text": "究竟效果又如何",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 95,
      "start": 433.36,
      "end": 436.12,
      "text": "我們亦將結果放上去了",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 96,
      "start": 447.38,
      "end": 449.68,
      "text": "I'm the king of the keys No crown on my dome",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 97,
      "start": 449.68,
      "end": 452.78,
      "text": "ChatGPT spitting scripts Making AI my home",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 98,
      "start": 452.78,
      "end": 455.78,
      "text": "Gemini twin flows Split brains in the zone",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 99,
      "start": 455.78,
      "end": 458.42,
      "text": "DeepSeek visions Seeing truths never shown",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 100,
      "start": 458.42,
      "end": 460.9,
      "text": "Claude in my corner Whisper moves like a sage",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 101,
      "start": 460.9,
      "end": 463.58,
      "text": "Lines so clean Got em popping off the page",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 102,
      "start": 463.58,
      "end": 465.78,
      "text": "I don't CD That's alphabet soup",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 103,
      "start": 465.78,
      "end": 468.42,
      "text": "I'm the vibe of the code Making systems salute",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 104,
      "start": 468.42,
      "end": 471.22,
      "text": "I'm the king of coding No crown no throne",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 105,
      "start": 471.22,
      "end": 473.98,
      "text": "Turn words into magic I'm a vibe on my own",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 106,
      "start": 473.98,
      "end": 476.58,
      "text": "Chatbots and cosmos Most the digital roam",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 107,
      "start": 476.58,
      "end": 479.42,
      "text": "The king of coding in the cloud I'm home",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 108,
      "start": 482.48,
      "end": 486.74,
      "text": "接著我說一下我對Jev這個AI Model的看法",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 109,
      "start": 487.9,
      "end": 489.78,
      "text": "根據TypeSafe AI所說",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 110,
      "start": 489.96,
      "end": 495.56,
      "text": "Jev這個AI Model的功能或定位",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 111,
      "start": 496.54,
      "end": 499.4,
      "text": "又或者說它針對的痛點",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 112,
      "start": 499.4,
      "end": 502.46,
      "text": "就是現今我們使用大型語言模型時",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 113,
      "start": 502.56,
      "end": 505.32,
      "text": "尤其是使用Agent的時候",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 114,
      "start": 505.56,
      "end": 510.02,
      "text": "Agent每一個步驟都會呼叫大型語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 115,
      "start": 510.2,
      "end": 512.98,
      "text": "無論你用哪一個API 哪間公司的模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 116,
      "start": 513.12,
      "end": 515.6,
      "text": "其實你每次呼叫的時候",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 117,
      "start": 515.76,
      "end": 519.88,
      "text": "哪怕只是一個很簡單的決定",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 118,
      "start": 520.32,
      "end": 522.12,
      "text": "或者一個很簡單的任務",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 119,
      "start": 522.2,
      "end": 525.98,
      "text": "背後經常都會消耗很多Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 120,
      "start": 526.8,
      "end": 531.08,
      "text": "它的論點是 這些Token是否真的必須這樣消耗",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 121,
      "start": 531.18,
      "end": 535.24,
      "text": "因為老實說 你的AI Agent在背後做的事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 122,
      "start": 535.88,
      "end": 539.48,
      "text": "它在背後回傳的那些文字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 123,
      "start": 539.48,
      "end": 543.5,
      "text": "大部分時間只是AI Agent自己看 你不會看",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 124,
      "start": 543.98,
      "end": 549.34,
      "text": "對大部分人來說 一些很Minor的決定",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 125,
      "start": 549.86,
      "end": 552.2,
      "text": "你最重要是告訴我是或不是 做或不做",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 126,
      "start": 552.2,
      "end": 554.26,
      "text": "或者用甚麼工具就可以",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 127,
      "start": 554.4,
      "end": 557.3,
      "text": "為甚麼需要浪費這麼多Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 128,
      "start": 557.5,
      "end": 561.7,
      "text": "這就是TypeSafe AI對Jev功能的看法",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 129,
      "start": 561.88,
      "end": 564.34,
      "text": "又或者可以說是他們的Pitch",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 130,
      "start": 565.48,
      "end": 568.6,
      "text": "毫無疑問 這個Pitch非常成功",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 131,
      "start": 568.66,
      "end": 571.96,
      "text": "因為大家都感受到那種痛點",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 132,
      "start": 572.08,
      "end": 577.68,
      "text": "因為大家用AI Agent去寫Program 寫Code",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 133,
      "start": 577.68,
      "end": 579.9,
      "text": "你真的覺得好像在燒錢一樣",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 134,
      "start": 580.86,
      "end": 585.38,
      "text": "但我的看法是 這是一個很好的Pitch",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 135,
      "start": 585.8,
      "end": 590.04,
      "text": "但算不上是一個重大的技術突破",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 136,
      "start": 590.48,
      "end": 596.96,
      "text": "因為如果從技術角度去看 我覺得Jev像一個Classifier Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 137,
      "start": 597.24,
      "end": 600.48,
      "text": "當然它有理解語言的部分",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 138,
      "start": 600.56,
      "end": 602.64,
      "text": "我相信這是Embedding Model做的事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 139,
      "start": 602.76,
      "end": 607.22,
      "text": "亦涉及一些Re-ranker的Algorithm",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 140,
      "start": 607.92,
      "end": 613.44,
      "text": "但我剛才說的這幾樣東西絕對不是新技術",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 141,
      "start": 613.74,
      "end": 619.58,
      "text": "因為你也可以想像 你說的是4000萬美元的Funding",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 142,
      "start": 619.86,
      "end": 623.82,
      "text": "如果你要做大型語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 143,
      "start": 624.06,
      "end": 627.24,
      "text": "尤其要與現在市面上的Frontier Model競爭",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 144,
      "start": 627.34,
      "end": 631.18,
      "text": "根本不夠錢 4000萬美元不可能做LLM",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 145,
      "start": 631.6,
      "end": 638.14,
      "text": "你唯一可能做到突破的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 146,
      "start": 638.14,
      "end": 640.72,
      "text": "就是在剛才說的Classifier Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 147,
      "start": 640.98,
      "end": 644.12,
      "text": "再加Embedding Model的層次上去做",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 148,
      "start": 644.84,
      "end": 648.26,
      "text": "所以我覺得這個Pitch很好 亦是很好的Marketing",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 149,
      "start": 648.4,
      "end": 650.28,
      "text": "至少現在這麼多人在討論",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 150,
      "start": 650.48,
      "end": 653.84,
      "text": "取得Traction之後再籌集更多資金",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 151,
      "start": 654.02,
      "end": 655.6,
      "text": "再想下一步怎樣做",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 152,
      "start": 655.72,
      "end": 657.84,
      "text": "這可能是他們現在的策略",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 153,
      "start": 658.6,
      "end": 663.72,
      "text": "所以我不覺得這是一個重大的技術突破",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 154,
      "start": 663.8,
      "end": 665.98,
      "text": "反而另一位 我想是他的同事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 155,
      "start": 666.06,
      "end": 669.42,
      "text": "以前OpenAI的CTO",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 156,
      "start": 669.5,
      "end": 671.78,
      "text": "那位女士 我不記得她叫甚麼名字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 157,
      "start": 672.56,
      "end": 675.84,
      "text": "她出來亦成立了一間AI公司",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 158,
      "start": 675.96,
      "end": 678.18,
      "text": "那個反而算是一個技術突破",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 159,
      "start": 678.26,
      "end": 680.2,
      "text": "因為她說的是用影像",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 160,
      "start": 681.14,
      "end": 685.2,
      "text": "原生地作為語言模型的Input",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 161,
      "start": 685.7,
      "end": 687.36,
      "text": "這其實是很難做到的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 162,
      "start": 687.52,
      "end": 690.7,
      "text": "我不是說她一定會成功",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 163,
      "start": 690.7,
      "end": 694.62,
      "text": "但純粹從技術來說 前OpenAI CTO",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 164,
      "start": 695.4,
      "end": 698.52,
      "text": "那位女士做的反而真的是技術突破",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 165,
      "start": 698.7,
      "end": 700.2,
      "text": "而Jev不是",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 166,
      "start": 703.14,
      "end": 709.0,
      "text": "所以要視乎你做的事、任務或決定有多複雜",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 167,
      "start": 709.38,
      "end": 712.2,
      "text": "舉個例子 純粹做電郵分類",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 168,
      "start": 712.2,
      "end": 714.92,
      "text": "可能你的公司每日有幾百封Email",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 169,
      "start": 715.62,
      "end": 718.98,
      "text": "或者你做網店 每日有幾百個查詢",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 170,
      "start": 719.1,
      "end": 725.84,
      "text": "你要對那些Email、查詢或客戶訊息",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 171,
      "start": 726.0,
      "end": 728.5,
      "text": "純粹做分類 例如你的Ticket System",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 172,
      "start": 728.5,
      "end": 730.98,
      "text": "要看那個Ticket有多Urgent",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 173,
      "start": 731.48,
      "end": 734.7,
      "text": "如果很急 可能你會分為極急",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 174,
      "start": 734.7,
      "end": 736.8,
      "text": "立即處理 客戶很生氣就先處理",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 175,
      "start": 736.8,
      "end": 738.56,
      "text": "一般查詢就稍後",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 176,
      "start": 739.3,
      "end": 743.5,
      "text": "如果純粹是電郵或客戶訊息",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 177,
      "start": 743.86,
      "end": 746.7,
      "text": "用Jev這類模型 我覺得是對的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 178,
      "start": 746.7,
      "end": 749.7,
      "text": "因為一來成本會較便宜",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 179,
      "start": 749.82,
      "end": 752.2,
      "text": "二來反應時間會較快",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 180,
      "start": 752.2,
      "end": 756.4,
      "text": "而且這類System很多時未必即時自動回覆",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 181,
      "start": 756.94,
      "end": 759.42,
      "text": "可能都會經過人手客服再覆核",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 182,
      "start": 759.54,
      "end": 763.7,
      "text": "在這類情況下用Jev是合理的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 183,
      "start": 763.7,
      "end": 767.74,
      "text": "或者用Jev分類後再交給LLM處理亦可以",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 184,
      "start": 768.64,
      "end": 773.2,
      "text": "但如果你做的事或任務有一定複雜程度",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 185,
      "start": 773.24,
      "end": 776.5,
      "text": "你可能仍需要用回傳統語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 186,
      "start": 776.5,
      "end": 780.74,
      "text": "就算你的任務純粹是做決定",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 187,
      "start": 780.86,
      "end": 784.18,
      "text": "不涉及生成文章或回覆客戶Email",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 188,
      "start": 784.52,
      "end": 786.96,
      "text": "不需要生成文字 純粹做決定",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 189,
      "start": 787.04,
      "end": 789.3,
      "text": "我想你仍是用回傳統語言模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 190,
      "start": 789.4,
      "end": 792.24,
      "text": "例如Claude、GPT這類Frontier Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 191,
      "start": 792.54,
      "end": 794.38,
      "text": "它們的判斷做得好",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 192,
      "start": 795.18,
      "end": 798.2,
      "text": "原因是它們可能會一步一步地思考",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 193,
      "start": 798.2,
      "end": 800.34,
      "text": "它們有Chain of Thought",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 194,
      "start": 801.08,
      "end": 805.98,
      "text": "你可以選擇Thinking是High還是Low",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 195,
      "start": 805.98,
      "end": 808.96,
      "text": "用多少思考力去做",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 196,
      "start": 809.5,
      "end": 812.2,
      "text": "複雜的任務或判斷",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 197,
      "start": 812.2,
      "end": 816.04,
      "text": "你可能真的需要看當中的細節",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 198,
      "start": 816.1,
      "end": 818.98,
      "text": "或者重點 才可以作出結論",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 199,
      "start": 819.14,
      "end": 822.82,
      "text": "而這個過程是做Chain of Thought",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 200,
      "start": 822.82,
      "end": 825.62,
      "text": "真的要消耗Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 201,
      "start": 825.62,
      "end": 828.68,
      "text": "你不可以說是浪費 不可以說不是必須",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 202,
      "start": 829.3,
      "end": 835.1,
      "text": "很多時有些Tasks要看很多細節",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 203,
      "start": 835.1,
      "end": 838.36,
      "text": "你不看細節 不讓它一步一步思考",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 204,
      "start": 838.36,
      "end": 840.64,
      "text": "就有很大機會出錯",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 205,
      "start": 840.64,
      "end": 842.82,
      "text": "例如一個男人有性病",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 206,
      "start": 842.9,
      "end": 845.98,
      "text": "他是否一定出去鬼混 未必",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 207,
      "start": 846.38,
      "end": 848.2,
      "text": "表面看似是這樣 但不一定",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 208,
      "start": 848.2,
      "end": 850.32,
      "text": "他的女朋友濫交又行不行",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 209,
      "start": 850.74,
      "end": 852.32,
      "text": "或者那個男人走過砵蘭街",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 210,
      "start": 852.48,
      "end": 855.2,
      "text": "被水淋到後染上性病又行不行 很無辜",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 211,
      "start": 856.62,
      "end": 862.96,
      "text": "我說到這裡 一定有些有識之士會在留言更正我",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 212,
      "start": 863.18,
      "end": 866.14,
      "text": "如果你走過砵蘭街被水淋到",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 213,
      "start": 866.22,
      "end": 868.8,
      "text": "在醫學上是絕對不會染上性病的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 214,
      "start": 868.96,
      "end": 871.5,
      "text": "因為DeepSeek、Gemini都是這樣說",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 215,
      "start": 873.28,
      "end": 877.72,
      "text": "其實我想說 我做這些節目",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 216,
      "start": 877.9,
      "end": 880.0,
      "text": "或這些題目這麼悶",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 217,
      "start": 880.0,
      "end": 883.64,
      "text": "有時搞搞笑 搞搞氣氛都可以",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 218,
      "start": 883.64,
      "end": 887.82,
      "text": "我覺得有時大家缺乏了一些幽默感",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 219,
      "start": 888.62,
      "end": 892.26,
      "text": "就像上次我的影片 我說梅建國",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 220,
      "start": 893.26,
      "end": 898.76,
      "text": "真的有網友很認真地留言說",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 221,
      "start": 899.84,
      "end": 903.1,
      "text": "梅建國其實是網民搞笑的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 222,
      "start": 903.26,
      "end": 905.12,
      "text": "Allen竟然當真",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 223,
      "start": 905.2,
      "end": 908.88,
      "text": "然後說這就證明了",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 224,
      "start": 909.04,
      "end": 912.08,
      "text": "AI幻覺的最佳例證",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 225,
      "start": 912.92,
      "end": 918.22,
      "text": "老實說 美斯是否真的叫梅建國 我真的不知道",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 226,
      "start": 918.22,
      "end": 922.44,
      "text": "我不肯定 但我可以很肯定地告訴大家",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 227,
      "start": 922.96,
      "end": 925.66,
      "text": "美斯是王敏德",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 228,
      "start": 928.26,
      "end": 931.36,
      "text": "另一個問題是 OpenAI、Gemini",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 229,
      "start": 931.66,
      "end": 935.18,
      "text": "或DeepSeek這類模型",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 230,
      "start": 935.28,
      "end": 938.96,
      "text": "現在亦有推出所謂Mini或Flash版本",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 231,
      "start": 939.06,
      "end": 942.2,
      "text": "它們針對的應用場景",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 232,
      "start": 942.2,
      "end": 945.8,
      "text": "是一些不需要太多思考又要快的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 233,
      "start": 946.16,
      "end": 948.5,
      "text": "任務或工作",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 234,
      "start": 949.3,
      "end": 952.72,
      "text": "當然Jev可以反駁",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 235,
      "start": 953.1,
      "end": 956.84,
      "text": "這些Flash Model、Mini Model都會消耗Token",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 236,
      "start": 957.7,
      "end": 961.98,
      "text": "但就我個人的使用經驗而言",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 237,
      "start": 962.06,
      "end": 963.68,
      "text": "未必代表大多數人",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 238,
      "start": 963.82,
      "end": 967.94,
      "text": "但這類Flash Model",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 239,
      "start": 968.52,
      "end": 972.6,
      "text": "無論你的prompt怎樣寫 我覺得都夠快亦夠便宜",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 240,
      "start": 972.8,
      "end": 977.08,
      "text": "當然你不可以將它與Jev這類",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 241,
      "start": 977.76,
      "end": 980.42,
      "text": "Classifier Model性質的東西比較",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 242,
      "start": 980.62,
      "end": 985.76,
      "text": "但你說Flash Model是否真的很貴 我又覺得不是",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 243,
      "start": 985.86,
      "end": 990.12,
      "text": "如果要我衡量任務的準確性",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 244,
      "start": 990.34,
      "end": 993.92,
      "text": "即做出來的準確性 或判斷的準確性",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 245,
      "start": 995.38,
      "end": 998.34,
      "text": "相對速度的Trade Off",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 246,
      "start": 998.48,
      "end": 1003.56,
      "text": "我寧願做慢一點 而不犧牲準確性",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 247,
      "start": 1003.72,
      "end": 1005.74,
      "text": "如果你為了省錢",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 248,
      "start": 1006.64,
      "end": 1014.58,
      "text": "而用Jev這類Model令你的決策出錯",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 249,
      "start": 1014.72,
      "end": 1015.98,
      "text": "我覺得不太值得",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 250,
      "start": 1016.46,
      "end": 1019.72,
      "text": "就算要等AI Agent 你先喝杯咖啡吧",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 251,
      "start": 1019.84,
      "end": 1023.22,
      "text": "我覺得其實不是那麼Time Critical的事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 252,
      "start": 1023.34,
      "end": 1028.5,
      "text": "我覺得交回LLM去做會比較放心",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 253,
      "start": 1029.48,
      "end": 1032.06,
      "text": "這就是我的結論",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 254,
      "start": 1032.2,
      "end": 1034.7,
      "text": "但正如我剛才所說 他們的Pitch做得好",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 255,
      "start": 1034.7,
      "end": 1037.66,
      "text": "因為這的確是一個痛點",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 256,
      "start": 1037.84,
      "end": 1042.12,
      "text": "如果用Jev做一個Cheap Filter",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 257,
      "start": 1042.3,
      "end": 1045.2,
      "text": "在大型語言模型之前先過濾",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 258,
      "start": 1045.2,
      "end": 1048.2,
      "text": "或者有些任務很簡單就可以作決定",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 259,
      "start": 1048.2,
      "end": 1050.98,
      "text": "我覺得用Jev是合理的",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 260,
      "start": 1051.02,
      "end": 1057.04,
      "text": "但如果完全用Jev取代所有Decision Making",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 261,
      "start": 1057.1,
      "end": 1058.8,
      "text": "這點我就不同意了",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 262,
      "start": 1061.82,
      "end": 1066.32,
      "text": "這個叫Jev的AI Model 其實是向Jevons Paradox致敬",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 263,
      "start": 1066.32,
      "end": 1072.16,
      "text": "Jevons Paradox是一個經濟學現象",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 264,
      "start": 1072.16,
      "end": 1075.62,
      "text": "它說的是當技術進步到一定程度",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 265,
      "start": 1075.94,
      "end": 1079.8,
      "text": "令某種資源的使用效率提高時",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 266,
      "start": 1080.42,
      "end": 1084.1,
      "text": "該資源的總消耗量 我們很多時以為",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 267,
      "start": 1085.28,
      "end": 1089.22,
      "text": "提高效率 整體上會用少了那些資源",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 268,
      "start": 1089.88,
      "end": 1092.18,
      "text": "但很多時發現並不是",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 269,
      "start": 1092.78,
      "end": 1096.7,
      "text": "其中一個例子是引擎的改進",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 270,
      "start": 1096.7,
      "end": 1101.36,
      "text": "技術進步令引擎更省油",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 271,
      "start": 1102.78,
      "end": 1108.58,
      "text": "省油之後 我們以為對燃油的整體需求會減少",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 272,
      "start": 1108.7,
      "end": 1112.42,
      "text": "其實不但沒有減少 反而上升",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 273,
      "start": 1112.62,
      "end": 1118.66,
      "text": "另一個例子是電訊 即數據傳輸技術",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 274,
      "start": 1119.14,
      "end": 1121.68,
      "text": "例如4G、5G",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 275,
      "start": 1122.48,
      "end": 1128.3,
      "text": "技術進步令數據傳輸速度更快",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 276,
      "start": 1129.16,
      "end": 1131.04,
      "text": "或成本降低",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 277,
      "start": 1131.16,
      "end": 1134.62,
      "text": "我們會否以為人們會用少了數據",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 278,
      "start": 1134.8,
      "end": 1138.22,
      "text": "答案當然不是 現在的人不只看文字",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 279,
      "start": 1138.3,
      "end": 1141.44,
      "text": "不只看圖片 就算看影片都可能要求高",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 280,
      "start": 1141.54,
      "end": 1145.3,
      "text": "高質素的4K、8K串流影片",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 281,
      "start": 1145.8,
      "end": 1148.06,
      "text": "或者會做更多以前沒有的事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 282,
      "start": 1148.86,
      "end": 1151.5,
      "text": "例如線上會議或線上遊戲等等",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 283,
      "start": 1152.36,
      "end": 1155.28,
      "text": "數據的總消耗量",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 284,
      "start": 1155.38,
      "end": 1159.64,
      "text": "並沒有因為技術提升而下跌",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 285,
      "start": 1159.8,
      "end": 1164.82,
      "text": "其實Jevons Paradox就是說這樣的事",
      "source": "source_caption",
      "timing_uncertain": false
    },
    {
      "id": 286,
      "start": 1165.3,
      "end": 1167.44,
      "text": "好 時間到了 多謝大家",
      "source": "source_caption",
      "timing_uncertain": false
    }
  ]
}