| IVOD_ID | 157528 | 
        
        | IVOD_URL | https://ivod.ly.gov.tw/Play/Clip/1M/157528 | 
        
        | 日期 | 2024-11-27 | 
        
        | 會議資料.會議代碼 | 委員會-11-2-19-17 | 
        
        | 會議資料.會議代碼:str | 第11屆第2會期經濟委員會第17次全體委員會議 | 
        
        | 會議資料.屆 | 11 | 
        
        | 會議資料.會期 | 2 | 
        
        | 會議資料.會次 | 17 | 
        
        | 會議資料.種類 | 委員會 | 
        
        | 會議資料.委員會代碼[0] | 19 | 
        
        | 會議資料.委員會代碼:str[0] | 經濟委員會 | 
        
        | 會議資料.標題 | 第11屆第2會期經濟委員會第17次全體委員會議 | 
        
        | 影片種類 | Clip | 
        
        | 開始時間 | 2024-11-27T12:01:04+08:00 | 
        
        | 結束時間 | 2024-11-27T12:12:37+08:00 | 
        
        | 影片長度 | 00:11:33 | 
        
        | 支援功能[0] | ai-transcript | 
        
        | 支援功能[1] | gazette | 
        
        | video_url | https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/4b9db3dc7042177acf4d182e6b999dff6e756e96dd8ac7a32bae0214b15caa08d2a91ba8bd4818235ea18f28b6918d91.mp4/playlist.m3u8 | 
        
        | 委員名稱 | 陳超明 | 
        
        | 委員發言時間 | 12:01:04 - 12:12:37 | 
        
        | 會議時間 | 2024-11-27T09:00:00+08:00 | 
        
        | 會議名稱 | 立法院第11屆第2會期經濟委員會第17次全體委員會議(事由:審查114年度中央政府總預算案關於經濟部及所屬單位預算部分。(詢答)) | 
        
        | transcript.pyannote[0].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[0].start | 8.26596875 | 
        
        | transcript.pyannote[0].end | 9.29534375 | 
        
        | transcript.pyannote[1].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[1].start | 9.73409375 | 
        
        | transcript.pyannote[1].end | 9.88596875 | 
        
        | transcript.pyannote[2].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[2].start | 10.35846875 | 
        
        | transcript.pyannote[2].end | 10.99971875 | 
        
        | transcript.pyannote[3].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[3].start | 11.21909375 | 
        
        | transcript.pyannote[3].end | 12.68721875 | 
        
        | transcript.pyannote[4].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[4].start | 13.00784375 | 
        
        | transcript.pyannote[4].end | 14.03721875 | 
        
        | transcript.pyannote[5].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[5].start | 14.10471875 | 
        
        | transcript.pyannote[5].end | 14.74596875 | 
        
        | transcript.pyannote[6].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[6].start | 21.76596875 | 
        
        | transcript.pyannote[6].end | 23.80784375 | 
        
        | transcript.pyannote[7].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[7].start | 24.01034375 | 
        
        | transcript.pyannote[7].end | 25.46159375 | 
        
        | transcript.pyannote[8].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[8].start | 26.13659375 | 
        
        | transcript.pyannote[8].end | 28.56659375 | 
        
        | transcript.pyannote[9].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[9].start | 28.95471875 | 
        
        | transcript.pyannote[9].end | 31.03034375 | 
        
        | transcript.pyannote[10].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[10].start | 31.73909375 | 
        
        | transcript.pyannote[10].end | 34.65846875 | 
        
        | transcript.pyannote[11].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[11].start | 35.40096875 | 
        
        | transcript.pyannote[11].end | 36.66659375 | 
        
        | transcript.pyannote[12].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[12].start | 37.37534375 | 
        
        | transcript.pyannote[12].end | 40.34534375 | 
        
        | transcript.pyannote[13].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[13].start | 41.22284375 | 
        
        | transcript.pyannote[13].end | 43.65284375 | 
        
        | transcript.pyannote[14].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[14].start | 44.37846875 | 
        
        | transcript.pyannote[14].end | 48.22596875 | 
        
        | transcript.pyannote[15].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[15].start | 48.85034375 | 
        
        | transcript.pyannote[15].end | 49.74471875 | 
        
        | transcript.pyannote[16].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[16].start | 50.85846875 | 
        
        | transcript.pyannote[16].end | 53.59221875 | 
        
        | transcript.pyannote[17].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[17].start | 54.16596875 | 
        
        | transcript.pyannote[17].end | 55.68471875 | 
        
        | transcript.pyannote[18].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[18].start | 56.44409375 | 
        
        | transcript.pyannote[18].end | 57.92909375 | 
        
        | transcript.pyannote[19].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[19].start | 58.40159375 | 
        
        | transcript.pyannote[19].end | 59.24534375 | 
        
        | transcript.pyannote[20].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[20].start | 59.68409375 | 
        
        | transcript.pyannote[20].end | 62.80596875 | 
        
        | transcript.pyannote[21].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[21].start | 63.10971875 | 
        
        | transcript.pyannote[21].end | 63.37971875 | 
        
        | transcript.pyannote[22].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[22].start | 63.75096875 | 
        
        | transcript.pyannote[22].end | 65.03346875 | 
        
        | transcript.pyannote[23].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[23].start | 65.53971875 | 
        
        | transcript.pyannote[23].end | 70.60221875 | 
        
        | transcript.pyannote[24].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[24].start | 71.17596875 | 
        
        | transcript.pyannote[24].end | 72.71159375 | 
        
        | transcript.pyannote[25].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[25].start | 73.92659375 | 
        
        | transcript.pyannote[25].end | 75.41159375 | 
        
        | transcript.pyannote[26].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[26].start | 75.93471875 | 
        
        | transcript.pyannote[26].end | 78.68534375 | 
        
        | transcript.pyannote[27].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[27].start | 79.19159375 | 
        
        | transcript.pyannote[27].end | 82.65096875 | 
        
        | transcript.pyannote[28].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[28].start | 83.03909375 | 
        
        | transcript.pyannote[28].end | 85.78971875 | 
        
        | transcript.pyannote[29].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[29].start | 86.27909375 | 
        
        | transcript.pyannote[29].end | 89.28284375 | 
        
        | transcript.pyannote[30].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[30].start | 89.97471875 | 
        
        | transcript.pyannote[30].end | 91.54409375 | 
        
        | transcript.pyannote[31].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[31].start | 91.76346875 | 
        
        | transcript.pyannote[31].end | 94.91909375 | 
        
        | transcript.pyannote[32].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[32].start | 95.57721875 | 
        
        | transcript.pyannote[32].end | 97.80471875 | 
        
        | transcript.pyannote[33].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[33].start | 98.36159375 | 
        
        | transcript.pyannote[33].end | 101.38221875 | 
        
        | transcript.pyannote[34].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[34].start | 101.70284375 | 
        
        | transcript.pyannote[34].end | 103.32284375 | 
        
        | transcript.pyannote[35].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[35].start | 104.55471875 | 
        
        | transcript.pyannote[35].end | 105.53346875 | 
        
        | transcript.pyannote[36].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[36].start | 105.97221875 | 
        
        | transcript.pyannote[36].end | 106.93409375 | 
        
        | transcript.pyannote[37].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[37].start | 107.49096875 | 
        
        | transcript.pyannote[37].end | 114.12284375 | 
        
        | transcript.pyannote[38].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[38].start | 114.94971875 | 
        
        | transcript.pyannote[38].end | 115.33784375 | 
        
        | transcript.pyannote[39].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[39].start | 116.62034375 | 
        
        | transcript.pyannote[39].end | 118.72971875 | 
        
        | transcript.pyannote[40].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[40].start | 119.60721875 | 
        
        | transcript.pyannote[40].end | 121.85159375 | 
        
        | transcript.pyannote[41].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[41].start | 122.91471875 | 
        
        | transcript.pyannote[41].end | 127.25159375 | 
        
        | transcript.pyannote[42].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[42].start | 127.87596875 | 
        
        | transcript.pyannote[42].end | 133.83284375 | 
        
        | transcript.pyannote[43].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[43].start | 134.82846875 | 
        
        | transcript.pyannote[43].end | 135.70596875 | 
        
        | transcript.pyannote[44].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[44].start | 136.12784375 | 
        
        | transcript.pyannote[44].end | 137.42721875 | 
        
        | transcript.pyannote[45].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[45].start | 137.96721875 | 
        
        | transcript.pyannote[45].end | 138.86159375 | 
        
        | transcript.pyannote[46].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[46].start | 138.97971875 | 
        
        | transcript.pyannote[46].end | 142.50659375 | 
        
        | transcript.pyannote[47].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[47].start | 143.02971875 | 
        
        | transcript.pyannote[47].end | 145.49346875 | 
        
        | transcript.pyannote[48].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[48].start | 146.52284375 | 
        
        | transcript.pyannote[48].end | 147.58596875 | 
        
        | transcript.pyannote[49].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[49].start | 147.94034375 | 
        
        | transcript.pyannote[49].end | 149.12159375 | 
        
        | transcript.pyannote[50].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[50].start | 149.67846875 | 
        
        | transcript.pyannote[50].end | 151.97346875 | 
        
        | transcript.pyannote[51].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[51].start | 152.58096875 | 
        
        | transcript.pyannote[51].end | 158.60534375 | 
        
        | transcript.pyannote[52].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[52].start | 159.31409375 | 
        
        | transcript.pyannote[52].end | 161.03534375 | 
        
        | transcript.pyannote[53].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[53].start | 162.40221875 | 
        
        | transcript.pyannote[53].end | 166.99221875 | 
        
        | transcript.pyannote[54].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[54].start | 167.63346875 | 
        
        | transcript.pyannote[54].end | 174.31596875 | 
        
        | transcript.pyannote[55].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[55].start | 174.73784375 | 
        
        | transcript.pyannote[55].end | 177.18471875 | 
        
        | transcript.pyannote[56].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[56].start | 177.53909375 | 
        
        | transcript.pyannote[56].end | 187.57971875 | 
        
        | transcript.pyannote[57].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[57].start | 187.96784375 | 
        
        | transcript.pyannote[57].end | 190.93784375 | 
        
        | transcript.pyannote[58].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[58].start | 191.14034375 | 
        
        | transcript.pyannote[58].end | 194.04284375 | 
        
        | transcript.pyannote[59].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[59].start | 194.27909375 | 
        
        | transcript.pyannote[59].end | 197.04659375 | 
        
        | transcript.pyannote[60].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[60].start | 194.61659375 | 
        
        | transcript.pyannote[60].end | 194.65034375 | 
        
        | transcript.pyannote[61].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[61].start | 194.71784375 | 
        
        | transcript.pyannote[61].end | 194.73471875 | 
        
        | transcript.pyannote[62].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[62].start | 195.56159375 | 
        
        | transcript.pyannote[62].end | 196.32096875 | 
        
        | transcript.pyannote[63].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[63].start | 198.73409375 | 
        
        | transcript.pyannote[63].end | 199.94909375 | 
        
        | transcript.pyannote[64].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[64].start | 200.15159375 | 
        
        | transcript.pyannote[64].end | 207.91409375 | 
        
        | transcript.pyannote[65].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[65].start | 203.22284375 | 
        
        | transcript.pyannote[65].end | 203.49284375 | 
        
        | transcript.pyannote[66].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[66].start | 204.31971875 | 
        
        | transcript.pyannote[66].end | 204.77534375 | 
        
        | transcript.pyannote[67].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[67].start | 208.94346875 | 
        
        | transcript.pyannote[67].end | 228.85596875 | 
        
        | transcript.pyannote[68].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[68].start | 221.05971875 | 
        
        | transcript.pyannote[68].end | 221.16096875 | 
        
        | transcript.pyannote[69].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[69].start | 229.37909375 | 
        
        | transcript.pyannote[69].end | 232.97346875 | 
        
        | transcript.pyannote[70].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[70].start | 234.18846875 | 
        
        | transcript.pyannote[70].end | 237.68159375 | 
        
        | transcript.pyannote[71].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[71].start | 238.15409375 | 
        
        | transcript.pyannote[71].end | 242.60909375 | 
        
        | transcript.pyannote[72].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[72].start | 243.41909375 | 
        
        | transcript.pyannote[72].end | 245.42721875 | 
        
        | transcript.pyannote[73].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[73].start | 245.54534375 | 
        
        | transcript.pyannote[73].end | 253.89846875 | 
        
        | transcript.pyannote[74].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[74].start | 255.45096875 | 
        
        | transcript.pyannote[74].end | 257.52659375 | 
        
        | transcript.pyannote[75].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[75].start | 258.40409375 | 
        
        | transcript.pyannote[75].end | 260.26034375 | 
        
        | transcript.pyannote[76].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[76].start | 261.34034375 | 
        
        | transcript.pyannote[76].end | 262.31909375 | 
        
        | transcript.pyannote[77].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[77].start | 262.69034375 | 
        
        | transcript.pyannote[77].end | 263.36534375 | 
        
        | transcript.pyannote[78].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[78].start | 264.71534375 | 
        
        | transcript.pyannote[78].end | 268.36034375 | 
        
        | transcript.pyannote[79].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[79].start | 269.05221875 | 
        
        | transcript.pyannote[79].end | 269.99721875 | 
        
        | transcript.pyannote[80].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[80].start | 271.12784375 | 
        
        | transcript.pyannote[80].end | 273.16971875 | 
        
        | transcript.pyannote[81].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[81].start | 273.49034375 | 
        
        | transcript.pyannote[81].end | 287.04096875 | 
        
        | transcript.pyannote[82].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[82].start | 287.95221875 | 
        
        | transcript.pyannote[82].end | 294.38159375 | 
        
        | transcript.pyannote[83].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[83].start | 294.92159375 | 
        
        | transcript.pyannote[83].end | 296.86221875 | 
        
        | transcript.pyannote[84].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[84].start | 297.14909375 | 
        
        | transcript.pyannote[84].end | 301.03034375 | 
        
        | transcript.pyannote[85].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[85].start | 301.65471875 | 
        
        | transcript.pyannote[85].end | 305.46846875 | 
        
        | transcript.pyannote[86].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[86].start | 305.73846875 | 
        
        | transcript.pyannote[86].end | 307.84784375 | 
        
        | transcript.pyannote[87].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[87].start | 308.42159375 | 
        
        | transcript.pyannote[87].end | 309.51846875 | 
        
        | transcript.pyannote[88].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[88].start | 310.10909375 | 
        
        | transcript.pyannote[88].end | 310.96971875 | 
        
        | transcript.pyannote[89].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[89].start | 312.37034375 | 
        
        | transcript.pyannote[89].end | 315.62721875 | 
        
        | transcript.pyannote[90].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[90].start | 316.16721875 | 
        
        | transcript.pyannote[90].end | 319.03596875 | 
        
        | transcript.pyannote[91].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[91].start | 320.09909375 | 
        
        | transcript.pyannote[91].end | 333.14346875 | 
        
        | transcript.pyannote[92].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[92].start | 335.06721875 | 
        
        | transcript.pyannote[92].end | 336.53534375 | 
        
        | transcript.pyannote[93].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[93].start | 336.82221875 | 
        
        | transcript.pyannote[93].end | 338.10471875 | 
        
        | transcript.pyannote[94].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[94].start | 338.54346875 | 
        
        | transcript.pyannote[94].end | 345.37784375 | 
        
        | transcript.pyannote[95].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[95].start | 346.01909375 | 
        
        | transcript.pyannote[95].end | 349.41096875 | 
        
        | transcript.pyannote[96].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[96].start | 350.00159375 | 
        
        | transcript.pyannote[96].end | 353.89971875 | 
        
        | transcript.pyannote[97].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[97].start | 354.28784375 | 
        
        | transcript.pyannote[97].end | 387.31221875 | 
        
        | transcript.pyannote[98].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[98].start | 354.32159375 | 
        
        | transcript.pyannote[98].end | 355.48596875 | 
        
        | transcript.pyannote[99].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[99].start | 357.78096875 | 
        
        | transcript.pyannote[99].end | 359.16471875 | 
        
        | transcript.pyannote[100].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[100].start | 359.70471875 | 
        
        | transcript.pyannote[100].end | 359.97471875 | 
        
        | transcript.pyannote[101].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[101].start | 380.35971875 | 
        
        | transcript.pyannote[101].end | 381.23721875 | 
        
        | transcript.pyannote[102].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[102].start | 387.76784375 | 
        
        | transcript.pyannote[102].end | 404.18721875 | 
        
        | transcript.pyannote[103].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[103].start | 396.52596875 | 
        
        | transcript.pyannote[103].end | 397.20096875 | 
        
        | transcript.pyannote[104].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[104].start | 404.71034375 | 
        
        | transcript.pyannote[104].end | 414.46409375 | 
        
        | transcript.pyannote[105].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[105].start | 409.19909375 | 
        
        | transcript.pyannote[105].end | 409.89096875 | 
        
        | transcript.pyannote[106].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[106].start | 413.16471875 | 
        
        | transcript.pyannote[106].end | 413.78909375 | 
        
        | transcript.pyannote[107].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[107].start | 415.29096875 | 
        
        | transcript.pyannote[107].end | 418.02471875 | 
        
        | transcript.pyannote[108].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[108].start | 418.96971875 | 
        
        | transcript.pyannote[108].end | 421.12971875 | 
        
        | transcript.pyannote[109].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[109].start | 422.04096875 | 
        
        | transcript.pyannote[109].end | 423.30659375 | 
        
        | transcript.pyannote[110].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[110].start | 423.89721875 | 
        
        | transcript.pyannote[110].end | 426.34409375 | 
        
        | transcript.pyannote[111].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[111].start | 427.20471875 | 
        
        | transcript.pyannote[111].end | 430.20846875 | 
        
        | transcript.pyannote[112].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[112].start | 430.44471875 | 
        
        | transcript.pyannote[112].end | 432.53721875 | 
        
        | transcript.pyannote[113].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[113].start | 433.29659375 | 
        
        | transcript.pyannote[113].end | 434.20784375 | 
        
        | transcript.pyannote[114].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[114].start | 434.95034375 | 
        
        | transcript.pyannote[114].end | 436.09784375 | 
        
        | transcript.pyannote[115].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[115].start | 436.60409375 | 
        
        | transcript.pyannote[115].end | 438.69659375 | 
        
        | transcript.pyannote[116].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[116].start | 439.32096875 | 
        
        | transcript.pyannote[116].end | 442.37534375 | 
        
        | transcript.pyannote[117].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[117].start | 442.72971875 | 
        
        | transcript.pyannote[117].end | 444.63659375 | 
        
        | transcript.pyannote[118].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[118].start | 445.22721875 | 
        
        | transcript.pyannote[118].end | 448.73721875 | 
        
        | transcript.pyannote[119].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[119].start | 449.34471875 | 
        
        | transcript.pyannote[119].end | 451.09971875 | 
        
        | transcript.pyannote[120].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[120].start | 451.94346875 | 
        
        | transcript.pyannote[120].end | 453.05721875 | 
        
        | transcript.pyannote[121].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[121].start | 453.66471875 | 
        
        | transcript.pyannote[121].end | 455.82471875 | 
        
        | transcript.pyannote[122].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[122].start | 456.31409375 | 
        
        | transcript.pyannote[122].end | 456.93846875 | 
        
        | transcript.pyannote[123].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[123].start | 457.20846875 | 
        
        | transcript.pyannote[123].end | 464.75159375 | 
        
        | transcript.pyannote[124].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[124].start | 465.25784375 | 
        
        | transcript.pyannote[124].end | 469.57784375 | 
        
        | transcript.pyannote[125].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[125].start | 469.78034375 | 
        
        | transcript.pyannote[125].end | 475.04534375 | 
        
        | transcript.pyannote[126].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[126].start | 475.75409375 | 
        
        | transcript.pyannote[126].end | 488.66346875 | 
        
        | transcript.pyannote[127].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[127].start | 489.47346875 | 
        
        | transcript.pyannote[127].end | 492.02159375 | 
        
        | transcript.pyannote[128].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[128].start | 493.03409375 | 
        
        | transcript.pyannote[128].end | 495.39659375 | 
        
        | transcript.pyannote[129].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[129].start | 496.07159375 | 
        
        | transcript.pyannote[129].end | 523.78034375 | 
        
        | transcript.pyannote[130].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[130].start | 524.59034375 | 
        
        | transcript.pyannote[130].end | 531.86346875 | 
        
        | transcript.pyannote[131].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[131].start | 532.45409375 | 
        
        | transcript.pyannote[131].end | 533.33159375 | 
        
        | transcript.pyannote[132].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[132].start | 534.32721875 | 
        
        | transcript.pyannote[132].end | 534.66471875 | 
        
        | transcript.pyannote[133].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[133].start | 535.32284375 | 
        
        | transcript.pyannote[133].end | 536.72346875 | 
        
        | transcript.pyannote[134].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[134].start | 537.65159375 | 
        
        | transcript.pyannote[134].end | 540.79034375 | 
        
        | transcript.pyannote[135].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[135].start | 540.97596875 | 
        
        | transcript.pyannote[135].end | 542.47784375 | 
        
        | transcript.pyannote[136].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[136].start | 542.54534375 | 
        
        | transcript.pyannote[136].end | 551.11784375 | 
        
        | transcript.pyannote[137].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[137].start | 546.57846875 | 
        
        | transcript.pyannote[137].end | 546.81471875 | 
        
        | transcript.pyannote[138].speaker | SPEAKER_01 | 
        
        | transcript.pyannote[138].start | 547.52346875 | 
        
        | transcript.pyannote[138].end | 549.48096875 | 
        
        | transcript.pyannote[139].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[139].start | 551.35409375 | 
        
        | transcript.pyannote[139].end | 553.63221875 | 
        
        | transcript.pyannote[140].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[140].start | 554.20596875 | 
        
        | transcript.pyannote[140].end | 559.42034375 | 
        
        | transcript.pyannote[141].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[141].start | 559.85909375 | 
        
        | transcript.pyannote[141].end | 563.74034375 | 
        
        | transcript.pyannote[142].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[142].start | 564.43221875 | 
        
        | transcript.pyannote[142].end | 565.07346875 | 
        
        | transcript.pyannote[143].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[143].start | 566.35596875 | 
        
        | transcript.pyannote[143].end | 566.67659375 | 
        
        | transcript.pyannote[144].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[144].start | 566.99721875 | 
        
        | transcript.pyannote[144].end | 570.82784375 | 
        
        | transcript.pyannote[145].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[145].start | 571.57034375 | 
        
        | transcript.pyannote[145].end | 573.30846875 | 
        
        | transcript.pyannote[146].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[146].start | 575.53596875 | 
        
        | transcript.pyannote[146].end | 577.59471875 | 
        
        | transcript.pyannote[147].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[147].start | 578.40471875 | 
        
        | transcript.pyannote[147].end | 581.03721875 | 
        
        | transcript.pyannote[148].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[148].start | 581.76284375 | 
        
        | transcript.pyannote[148].end | 584.54721875 | 
        
        | transcript.pyannote[149].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[149].start | 585.88034375 | 
        
        | transcript.pyannote[149].end | 587.51721875 | 
        
        | transcript.pyannote[150].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[150].start | 588.64784375 | 
        
        | transcript.pyannote[150].end | 591.07784375 | 
        
        | transcript.pyannote[151].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[151].start | 591.48284375 | 
        
        | transcript.pyannote[151].end | 593.94659375 | 
        
        | transcript.pyannote[152].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[152].start | 594.80721875 | 
        
        | transcript.pyannote[152].end | 596.93346875 | 
        
        | transcript.pyannote[153].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[153].start | 597.74346875 | 
        
        | transcript.pyannote[153].end | 598.60409375 | 
        
        | transcript.pyannote[154].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[154].start | 599.24534375 | 
        
        | transcript.pyannote[154].end | 602.53596875 | 
        
        | transcript.pyannote[155].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[155].start | 603.36284375 | 
        
        | transcript.pyannote[155].end | 605.42159375 | 
        
        | transcript.pyannote[156].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[156].start | 606.24846875 | 
        
        | transcript.pyannote[156].end | 608.79659375 | 
        
        | transcript.pyannote[157].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[157].start | 609.28596875 | 
        
        | transcript.pyannote[157].end | 610.29846875 | 
        
        | transcript.pyannote[158].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[158].start | 611.24346875 | 
        
        | transcript.pyannote[158].end | 612.40784375 | 
        
        | transcript.pyannote[159].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[159].start | 612.50909375 | 
        
        | transcript.pyannote[159].end | 613.57221875 | 
        
        | transcript.pyannote[160].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[160].start | 614.36534375 | 
        
        | transcript.pyannote[160].end | 616.60971875 | 
        
        | transcript.pyannote[161].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[161].start | 617.52096875 | 
        
        | transcript.pyannote[161].end | 622.97159375 | 
        
        | transcript.pyannote[162].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[162].start | 623.30909375 | 
        
        | transcript.pyannote[162].end | 625.09784375 | 
        
        | transcript.pyannote[163].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[163].start | 625.48596875 | 
        
        | transcript.pyannote[163].end | 627.79784375 | 
        
        | transcript.pyannote[164].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[164].start | 628.42221875 | 
        
        | transcript.pyannote[164].end | 629.01284375 | 
        
        | transcript.pyannote[165].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[165].start | 629.89034375 | 
        
        | transcript.pyannote[165].end | 631.18971875 | 
        
        | transcript.pyannote[166].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[166].start | 632.32034375 | 
        
        | transcript.pyannote[166].end | 634.05846875 | 
        
        | transcript.pyannote[167].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[167].start | 634.42971875 | 
        
        | transcript.pyannote[167].end | 634.81784375 | 
        
        | transcript.pyannote[168].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[168].start | 634.95284375 | 
        
        | transcript.pyannote[168].end | 635.81346875 | 
        
        | transcript.pyannote[169].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[169].start | 636.47159375 | 
        
        | transcript.pyannote[169].end | 637.36596875 | 
        
        | transcript.pyannote[170].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[170].start | 638.12534375 | 
        
        | transcript.pyannote[170].end | 638.69909375 | 
        
        | transcript.pyannote[171].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[171].start | 640.09971875 | 
        
        | transcript.pyannote[171].end | 641.78721875 | 
        
        | transcript.pyannote[172].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[172].start | 642.46221875 | 
        
        | transcript.pyannote[172].end | 646.41096875 | 
        
        | transcript.pyannote[173].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[173].start | 647.06909375 | 
        
        | transcript.pyannote[173].end | 649.06034375 | 
        
        | transcript.pyannote[174].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[174].start | 649.78596875 | 
        
        | transcript.pyannote[174].end | 650.69721875 | 
        
        | transcript.pyannote[175].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[175].start | 651.40596875 | 
        
        | transcript.pyannote[175].end | 653.26221875 | 
        
        | transcript.pyannote[176].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[176].start | 653.80221875 | 
        
        | transcript.pyannote[176].end | 656.41784375 | 
        
        | transcript.pyannote[177].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[177].start | 657.12659375 | 
        
        | transcript.pyannote[177].end | 659.30346875 | 
        
        | transcript.pyannote[178].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[178].start | 659.57346875 | 
        
        | transcript.pyannote[178].end | 666.54284375 | 
        
        | transcript.pyannote[179].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[179].start | 667.28534375 | 
        
        | transcript.pyannote[179].end | 670.39034375 | 
        
        | transcript.pyannote[180].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[180].start | 671.11596875 | 
        
        | transcript.pyannote[180].end | 678.81096875 | 
        
        | transcript.pyannote[181].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[181].start | 679.90784375 | 
        
        | transcript.pyannote[181].end | 680.83596875 | 
        
        | transcript.pyannote[182].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[182].start | 680.95409375 | 
        
        | transcript.pyannote[182].end | 681.96659375 | 
        
        | transcript.pyannote[183].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[183].start | 682.55721875 | 
        
        | transcript.pyannote[183].end | 684.12659375 | 
        
        | transcript.pyannote[184].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[184].start | 684.76784375 | 
        
        | transcript.pyannote[184].end | 685.54409375 | 
        
        | transcript.pyannote[185].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[185].start | 686.35409375 | 
        
        | transcript.pyannote[185].end | 689.30721875 | 
        
        | transcript.pyannote[186].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[186].start | 689.76284375 | 
        
        | transcript.pyannote[186].end | 690.31971875 | 
        
        | transcript.pyannote[187].speaker | SPEAKER_00 | 
        
        | transcript.pyannote[187].start | 690.40409375 | 
        
        | transcript.pyannote[187].end | 692.07471875 | 
        
        | transcript.whisperx[0].start | 8.794 | 
        
        | transcript.whisperx[0].end | 34.072 | 
        
        | transcript.whisperx[0].text | 主席,首先有請經濟部我們的郭部長。請郭部長。您好,保留好。您這個這麼大時間,但是我看您的預算一些地方,好像不是日在地,沒有在地的一種感覺。我現在跟您說, | 
        
        | transcript.whisperx[1].start | 35.461 | 
        
        | transcript.whisperx[1].end | 42.667 | 
        
        | transcript.whisperx[1].text | 你們有一個計劃叫做城鄉在地共好計劃西米公園要開5頁所要吸引國際頂級的消費群來談我給你請教 | 
        
        | transcript.whisperx[2].start | 51.239 | 
        
        | transcript.whisperx[2].end | 54.682 | 
        
        | transcript.whisperx[2].text | 新年五月一年差不多一月兩千萬,臺灣有幾個鄉鎮?臺灣有幾個鄉鎮?臺灣有幾個鄉鎮?臺灣有幾個鄉鎮?臺灣有幾個鄉鎮?臺灣有幾個鄉鎮?臺灣有幾個鄉鎮?臺灣有幾個鄉鎮? | 
        
        | transcript.whisperx[3].start | 73.991 | 
        
        | transcript.whisperx[3].end | 103.129 | 
        
        | transcript.whisperx[3].text | 你去問國安會、去問交通部的官方行、去問農業部,這每一個地方都在推,推到現在不曉得花了多少錢。實在講起來,成果不是很好。你們在這裡說要發掘全國各鄉鎮,獨特的產業和理容,要推廣美食、景點、醫美、健康、檢查等。 | 
        
        | transcript.whisperx[4].start | 104.585 | 
        
        | transcript.whisperx[4].end | 132.407 | 
        
        | transcript.whisperx[4].text | 您這寫了不確實境,這樣少的預算,要做這麼大的事情,還寫得這麼好聽喔?保證,你曉得觀光業現在有多慘?臺灣人跑出去,沒有人跑進來。以前是大陸課為基準,現在連日本課也很少啦。我要說我們這個國家我不知道要怎麼想,沒有人可以讓觀光業繼續維持下去。 | 
        
        | transcript.whisperx[5].start | 134.921 | 
        
        | transcript.whisperx[5].end | 160.702 | 
        
        | transcript.whisperx[5].text | 所以在這我覺得這個計劃我支持但是我覺得不切實際你要做一個特色出來不然你這樣在下早不知重點這我給你建議真的要下鄉真的要了解各鄉鎮的情形你沒有也去給大家立委問問他的轄區大概經驗都非常豐富會主點你很多我們的看法會不一樣 | 
        
        | transcript.whisperx[6].start | 162.452 | 
        
        | transcript.whisperx[6].end | 165.115 | 
        
        | transcript.whisperx[6].text | 因為這個問題裡面啊你又拼了116億 | 
        
        | transcript.whisperx[7].start | 167.694 | 
        
        | transcript.whisperx[7].end | 189.999 | 
        
        | transcript.whisperx[7].text | 推動中小微企業的多元振興發展的方案來促進地方的發展,這一百十六個月就有高捷了。中小微企業的多元振興發展,我在你預算室裡面看不出來,你把我弄得太誇張了。我們那中小型微企業非常多,你給我推薦細一點,我會去跟他們講,幫你們推銷,幫你們解決問題,這樣好嗎? | 
        
        | transcript.whisperx[8].start | 198.766 | 
        
        | transcript.whisperx[8].end | 201.171 | 
        
        | transcript.whisperx[8].text | 我們會把這個內容給我好不好,我才會拒停。 | 
        
        | transcript.whisperx[9].start | 208.988 | 
        
        | transcript.whisperx[9].end | 209.308 | 
        
        | transcript.whisperx[9].text | 你們這個應該是產業發展史的 | 
        
        | transcript.whisperx[10].start | 234.229 | 
        
        | transcript.whisperx[10].end | 248.759 | 
        
        | transcript.whisperx[10].text | 您說經濟部與地方攜手產業所推進行國家標準的五一智慧感實證結合了一大堆的企業,說在2013年有154億美元,到20幾年大概有450億美元。這裏面的功能就有了。我唸一下補充聽,說會做什麼? | 
        
        | transcript.whisperx[11].start | 265.198 | 
        
        | transcript.whisperx[11].end | 284.789 | 
        
        | transcript.whisperx[11].text | 一體式的五一智慧感、智慧感共感能源管理系統、AI智慧監控系統、天線解決方案、五日企業專網、室外廣告機、戶外空氣評測專制系。說這個會像你後輩一樣大。 | 
        
        | transcript.whisperx[12].start | 288.124 | 
        
        | transcript.whisperx[12].end | 310.435 | 
        
        | transcript.whisperx[12].text | 剛才到203年那年有590億美金你這個價位我們也不知道你今年只拚了3億這個東西如果一個智慧桿就是電信桿有這麼好的市場你那個資料也讓我們去了解還是被人家綁在一起這些時候保證我們是 | 
        
        | transcript.whisperx[13].start | 312.461 | 
        
        | transcript.whisperx[13].end | 332.538 | 
        
        | transcript.whisperx[13].text | 社會生意大家都知道這沒辦法得到的處理,讓這個生意那麼大你不能好好推出來。這不然他AI到處都AI,尤其他的監視系統,你是貼政府的這些情報,現在人車走到哪裡都要被照相下來,這是另外一種方式的改變。 | 
        
        | transcript.whisperx[14].start | 335.06 | 
        
        | transcript.whisperx[14].end | 337.722 | 
        
        | transcript.whisperx[14].text | 我們基本上就是這樣先訓練人先把人才先佈局 | 
        
        | transcript.whisperx[15].start | 354.378 | 
        
        | transcript.whisperx[15].end | 355.679 | 
        
        | transcript.whisperx[15].text | 我們要建構的是智慧城市 | 
        
        | transcript.whisperx[16].start | 371.304 | 
        
        | transcript.whisperx[16].end | 382.599 | 
        
        | transcript.whisperx[16].text | 所以這要跟每一個管治政府提案,我們主要是管治政府提案每一項補助請問。你現在知道要做什麼嗎?這是問到屬於情報的監視系統還是怎樣? | 
        
        | transcript.whisperx[17].start | 387.825 | 
        
        | transcript.whisperx[17].end | 389.607 | 
        
        | transcript.whisperx[17].text | 委員我去你的辦公室喔,跟你上誰報告? | 
        
        | transcript.whisperx[18].start | 404.758 | 
        
        | transcript.whisperx[18].end | 413.204 | 
        
        | transcript.whisperx[18].text | 我聽你們說我是要聽你們教我上課,不然我會信任。我們的專家會去報告你。好,我了解一下。再來,我們現在AI大家很熱門,大家知道運算力就是國力,你又號稱四年培育20萬人才, | 
        
        | transcript.whisperx[19].start | 427.57 | 
        
        | transcript.whisperx[19].end | 447.449 | 
        
        | transcript.whisperx[19].text | 你憑我們AI的軟體擠進全世界第3名,我們都了解,我們IC晶片,我們的富士武器都很第一,但是你講說我們AI軟體產業世界排名26名,但是你的目標要怎樣?2028年,要讓台灣近日 | 
        
        | transcript.whisperx[20].start | 452.695 | 
        
        | transcript.whisperx[20].end | 473.369 | 
        
        | transcript.whisperx[20].text | 臺灣的產業今日前三名我們要建立臺灣自己的子群AI要進入應用的時代這個應用很重要代表臺灣成為軟體設計先進的國家我已算是把你現現的都看不出來還是我這個 | 
        
        | transcript.whisperx[21].start | 476.552 | 
        
        | transcript.whisperx[21].end | 491.883 | 
        
        | transcript.whisperx[21].text | 這個合文沒法管 看不懂 你們到底你要在AI軟體設計方面 憑AI轉型 你們的經費到底在哪裡 聯合情緒在哪裡 因為這個很重要 我了解 從這個時候建立AI軟體的時候 | 
        
        | transcript.whisperx[22].start | 493.386 | 
        
        | transcript.whisperx[22].end | 518.898 | 
        
        | transcript.whisperx[22].text | AI軟體不是那麼好建立的喔那要模擬要各方面的喔阿你現在要怎麼做你教我教一下我們先建立這個訓練的部分然後訓練完了以後讓他可以就業的部分然後我們對個人的話會建立平台讓他在上面發展阿你在2028年要進到第三名聽到很興奮你要跟人才培訓教到一樣 | 
        
        | transcript.whisperx[23].start | 519.378 | 
        
        | transcript.whisperx[23].end | 522.74 | 
        
        | transcript.whisperx[23].text | 我們今年2萬5千人為嗨過禮拜,還有2萬5千人是為國外才生起來,所以今年5萬人,總共20萬是這樣生的。 | 
        
        | transcript.whisperx[24].start | 535.464 | 
        
        | transcript.whisperx[24].end | 554.556 | 
        
        | transcript.whisperx[24].text | 是很豐滿,實際是很能幹,你今天要告我發,我們就請你去啦,我們的錢要值得取啦,人才才會進來啦,不然你想要跟他打,我告訴你,現在只是資訊要好談的,你去傳統產業,等一下要跟你問事,時間不夠啦,我這樣跟你點就知道啦,你如果要做AI軟體的時候, | 
        
        | transcript.whisperx[25].start | 564.463 | 
        
        | transcript.whisperx[25].end | 587.072 | 
        
        | transcript.whisperx[25].text | 我希望你這個一個資料給我好好來代讀一下好不好 稍等 再一次你常常說中內關外 中外關內我問你副國務常常你說鎖定日本捷克美國菲律賓在這 川普說 | 
        
        | transcript.whisperx[26].start | 588.703 | 
        
        | transcript.whisperx[26].end | 609.874 | 
        
        | transcript.whisperx[26].text | 我們台灣搶美國人的權今天我最先看到了一個資料台積電的前董事長劉德英他說最先進的機師在美國生產可能會賠上百億美元最先進的產品在台灣製造才能酸癢 | 
        
        | transcript.whisperx[27].start | 611.271 | 
        
        | transcript.whisperx[27].end | 638.191 | 
        
        | transcript.whisperx[27].text | 他要提醒我們記得這句話地緣政治是非常現實不要把矽谷台積電當成護士女的想法這句話也好聽他是以前要到美國支持到美國今天講這種話他講的第二句話大國對小國的大國對小國家的 | 
        
        | transcript.whisperx[28].start | 640.394 | 
        
        | transcript.whisperx[28].end | 656.135 | 
        
        | transcript.whisperx[28].text | 大國對小國看待國家利益,是以國家利益為推動。你現在不放棄內關外,我第一跟你說,把台灣的這個企業顧得好,第二你的手下四大公司, | 
        
        | transcript.whisperx[29].start | 658.136 | 
        
        | transcript.whisperx[29].end | 685.207 | 
        
        | transcript.whisperx[29].text | 臺電虧損雷雷一兆,中油要加你增加補保增加資本額增加預算也是虧損雷雷,自來水公司是嗷嗷待苦,臺黨是賣土地求生,我感覺你把私營公司整頓好,你你企業的專才,就對臺灣的貢獻很大,不要想我姐,顧好自己,這個是多變的時代,有信心嗎? | 
        
        | transcript.whisperx[30].start | 687.119 | 
        
        | transcript.whisperx[30].end | 689.125 | 
        
        | transcript.whisperx[30].text | 謝謝委員的鼓勵,我會全力以赴。 | 
        
        | gazette.lineno | 1032 | 
        
        | gazette.blocks[0][0] | 陳委員超明:(12時1分)主席好。首先,有請經濟部郭部長。 | 
        
        | gazette.blocks[1][0] | 主席:請郭部長。 | 
        
        | gazette.blocks[2][0] | 郭部長智輝:委員好。 | 
        
        | gazette.blocks[3][0] | 陳委員超明:部長,你這個做大事業的人,但是我看你的預算的編列,好像不深入在地,沒有在地的一種感覺。我現在跟你們說,你們有一個計畫,叫做城鄉在地共好計畫,4年要花5億元,說要吸引國際頂級的消費群來臺,我請教4年編5億元,1年差不多要花1億2,000萬,臺灣有幾個鄉鎮? | 
        
        | gazette.blocks[4][0] | 郭部長智輝:380吧? | 
        
        | gazette.blocks[5][0] | 陳委員超明:差不多,是368,可見你有研究過。一個鄉鎮一年250萬,部長,要做的事情,你去問國發會,去問交通部觀光署,去問農業部,每一個地方都在推,推到現在不曉得花了多少錢,實在講起來,成果不是很好。你們在這邊寫說要發掘全國各鄉鎮獨特的產業和旅遊,要推廣美食、景點、醫美、健康檢查等,你們寫得不切實際,這樣少的預算要做這麼大的事情,還寫得很好聽,部長,你曉得觀光業現在有多慘?臺灣人跑出去,沒有人跑進來,以前是大陸客為基準,現在連日本客也很少啦。我說我們這個國家,我不知道要怎麼說,沒人替這些觀光業著想,讓他們繼續維持下去,所以在這裡,這個計畫我支持,但是我覺得不切實際,你要做出特色,不然你們這麼寫,找不出重點,這我給你建議的,真的要下鄉,真的要瞭解各鄉鎮的情形,不然你也去向每個立委問一問,他們從轄區得到的經驗都非常豐富,會指點你很多,看法會不一樣。這個問題裡面,你又編了116億推動中小微企業的多元振興方案,來促進地方的發展,這116億就很多,中小微企業的多元振興方案,我在你預算書裡面看不出來,你給我列得詳細一點,我們那裡的中小微企業非常多,你的計畫拿給我,細一點,我會去跟他們講,幫你們推銷,幫你們解決問題,這樣好嗎? | 
        
        | gazette.blocks[6][0] | 郭部長智輝:謝謝委員,謝謝。 | 
        
        | gazette.blocks[7][0] | 陳委員超明:有沒有?要不要給我? | 
        
        | gazette.blocks[8][0] | 郭部長智輝:我們會把這個內容…… | 
        
        | gazette.blocks[9][0] | 陳委員超明:內容給我,好不好? | 
        
        | gazette.blocks[10][0] | 郭部長智輝:是。 | 
        
        | gazette.blocks[11][0] | 陳委員超明:我才會具體說明。 | 
        
        | gazette.blocks[12][0] | 郭部長智輝:是。簡單說有三種,第一個就是數位轉型,第二個是透過淨零轉型,第三個是透過通路布建。 | 
        
        | gazette.blocks[13][0] | 陳委員超明:你要進行數位轉型,在鄉下聽不太懂什麼是數位,我來看一看,你跟我說清楚,我來說,我的行銷會比較好,好不好? | 
        
        | gazette.blocks[14][0] | 郭部長智輝:好,謝謝,謝謝委員。 | 
        
        | gazette.blocks[15][0] | 陳委員超明:再來,你們的產業發展署,你們說:經濟部與地方攜手產業,首推遵循國家標準的5G智慧杆實證,結合了一大堆的企業,說在2030年有154億美元,到二零幾年大概有450億美元,裡面的功能可多了,我念給部長聽,你們說可以做什麼一體式的5G智慧杆,智慧共杆能源管理系統、AI智慧監控系統、天線解決方案、5G企業專網、室外廣告機、戶外空氣品質偵測器,說是日後這個生意會很大,好像說到2030年有590億美元,你這個計畫,我們也不知道,你今年只編了3億,這個東西……就是電線杆,如果有這麼好的市場,你們那個資料也讓我們了解一下,還是被人家綁在一起?部長,做過生意的人大概都知道其中的「眉角」,如果這個生意會這麼好,你就要好好推出來,這不亞於AI,現在到處都AI,尤其是監視系統,你們是替政府在做情報嗎?現在人車走到哪裡都要被照相下來,這是另外一種方式的改變,我不知道這個東西是什麼,今年編3億,會有590億美元的生意,但你在臺灣只編了3億,那你到底要怎麼來做這樣大的產業? | 
        
        | gazette.blocks[16][0] | 郭部長智輝:我們基本上是先訓練人,把人才先布局。 | 
        
        | gazette.blocks[17][0] | 陳委員超明:這個都做好了,還要訓練人才?這只是紙張上去啊…… | 
        
        | gazette.blocks[18][0] | 郭部長智輝:沒有、沒有…… | 
        
        | gazette.blocks[19][0] | 陳委員超明:你注意看,你們有幾個學校在喔!你已經完成了喔!你們說在高雄、在臺南都試驗完成了喔! | 
        
        | gazette.blocks[20][0] | 郭部長智輝:我們要建構的是智慧城市。 | 
        
        | gazette.blocks[21][0] | 陳委員超明:我曉得啦! | 
        
        | gazette.blocks[22][0] | 郭部長智輝:所以這個還要跟每一個縣市政府的提案……我們這筆錢主要是用於縣市政府提案的補助,每一案…… | 
        
        | gazette.blocks[23][0] | 陳委員超明:現在這3億要做什麼? | 
        
        | gazette.blocks[24][0] | 郭部長智輝:每一案補助1,000萬。 | 
        
        | gazette.blocks[25][0] | 陳委員超明:這也是屬於情報的監視系統?還是怎樣? | 
        
        | gazette.blocks[26][0] | 郭部長智輝:沒有啦,就是讓他們來提案…… | 
        
        | gazette.blocks[27][0] | 陳委員超明:你不說的話,我改天再好好請教你,我時間太短了,我知道這個「眉角」,這裡面含意很大,所以全臺灣人要注意,我們的電線桿是全部來監測…… | 
        
        | gazette.blocks[28][0] | 郭部長智輝:跟委員報告,我們去你的辦公室跟你詳細報告。 | 
        
        | gazette.blocks[29][0] | 陳委員超明:沒有,我聽你的,我不敢……我是要聽你們幫我上課…… | 
        
        | gazette.blocks[30][0] | 郭部長智輝:沒有啦,我們的專家會去跟你報告,他這方面…… | 
        
        | gazette.blocks[31][0] | 陳委員超明:好,我瞭解一下。再來,現在AI很熱門,大家知道運算力就是國力,你還號稱四年培育20萬的人才,力拚我們AI的軟體擠進全世界第三名,我們都了解,我們的IC晶片、我們的伺服器都占第一,你說我們AI軟體產業世界排名第二十六名,但是你的目標要怎樣?2028年要讓臺灣的產業進入前三名,我們要建立臺灣自己的主權AI,要進入應用的時代,這個應用很重要,代表臺灣成為軟體設計先進的國家。我把你的預算表翻一翻,都看不出來在哪裡,還是我學問沒那麼高所以看不出來?你要在AI軟體設計方面拼AI轉型,你們的經費到底在哪裡?因為這個很重要,我了解,這個時候要建立AI軟體,AI軟體不是那麼好建立的,要模擬、還要加上各方面。你現在要怎麼做,你教我一下。 | 
        
        | gazette.blocks[32][0] | 郭部長智輝:我們先建立訓練的部分,其次是訓練完了以後讓他可以就業的部分,然後我們對個人的話會建立平台,讓他在上面發展。 | 
        
        | gazette.blocks[33][0] | 陳委員超明:你2028年要進到第三名,聽了很興奮,你還要做人才培訓,做到可以…… | 
        
        | gazette.blocks[34][0] | 郭部長智輝:我們一年有2萬5,000人從海外進來,還有2萬5,000人是從國內升起來,所以一年5萬人,總共20萬人的數字是這樣來的。 | 
        
        | gazette.blocks[35][0] | 陳委員超明:部長,你的想像是很豐滿,實際是很冷感,一年要從國外……我們就要請得起,我們的錢要出得起,人才才會進來。 | 
        
        | gazette.blocks[36][0] | 郭部長智輝:當然、當然。我們還有2加4的計畫。 | 
        
        | gazette.blocks[37][0] | 陳委員超明:我告訴你,現在是只有資訊業比較好賺,你要去傳統產業的話,我待會要問的東西,因為時間不夠,我這樣點一下,你應該就知道了,如果要推新的AI軟體,我希望你也給我一個這方面的資料,讓我好好來拜讀一下,好不好? | 
        
        | gazette.blocks[38][0] | 郭部長智輝:好。 | 
        
        | gazette.blocks[39][0] | 陳委員超明:還有一項,你常常說境內關外、境外關內,我常常被你搞昏,你說鎖定日本、捷克、美國、菲律賓,川普說我們臺灣搶美國人的錢,我最近看到了一個資料,台積電的前董事長劉德音說:最先進的技術在美國生產,可能會賠上百億美元;最先進的產品在臺灣製造,才能雙贏。他提醒我們記得這句話,地緣政治是非常現實,不要有把矽盾當成護身符的想法。這句話要好好聽。 | 
        
        | gazette.blocks[40][0] | 郭部長智輝:謝謝。 | 
        
        | gazette.blocks[41][0] | 陳委員超明:他以前是支持到美國的,今天講這種話,我們要去想想。他講的第二句話:大國對小國,是以大國的國家利益來推動。你現在不談境內關外,我第一個要跟你說的是,把臺灣的企業顧好;第二,你手下四大公司,台電虧損累累,1兆;中油要叫你撥補、增加預算,也是虧損累累;自來水公司是嗷嗷待哺;台糖是賣土地求生。我覺得你若能以你企業的專長把這四家公司整頓好,對臺灣的貢獻很大,不要想那麼多,顧好自己,這個是多變的時代,有信心嗎? | 
        
        | gazette.blocks[42][0] | 郭部長智輝:謝謝委員的鼓勵,我會全力以赴。 | 
        
        | gazette.blocks[43][0] | 陳委員超明:好,謝謝。 | 
        
        | gazette.blocks[44][0] | 主席:請李柏毅、李柏毅,李柏毅委員不在。 | 
        
        | gazette.blocks[44][1] | 請麥玉珍、麥玉珍,麥玉珍委員不在。 | 
        
        | gazette.blocks[44][2] | 請鍾佳濱委員質詢。 | 
        
        | gazette.agenda.page_end | 308 | 
        
        | gazette.agenda.meet_id | 委員會-11-2-19-17 | 
        
        | gazette.agenda.speakers[0] | 呂玉玲 | 
        
        | gazette.agenda.speakers[1] | 賴瑞隆 | 
        
        | gazette.agenda.speakers[2] | 林岱樺 | 
        
        | gazette.agenda.speakers[3] | 邱議瑩 | 
        
        | gazette.agenda.speakers[4] | 張啓楷 | 
        
        | gazette.agenda.speakers[5] | 鄭正鈐 | 
        
        | gazette.agenda.speakers[6] | 楊瓊瓔 | 
        
        | gazette.agenda.speakers[7] | 陳亭妃 | 
        
        | gazette.agenda.speakers[8] | 鄭天財Sra Kacaw | 
        
        | gazette.agenda.speakers[9] | 賴士葆 | 
        
        | gazette.agenda.speakers[10] | 邱志偉 | 
        
        | gazette.agenda.speakers[11] | 謝衣鳯 | 
        
        | gazette.agenda.speakers[12] | 林月琴 | 
        
        | gazette.agenda.speakers[13] | 蔡易餘 | 
        
        | gazette.agenda.speakers[14] | 黃國昌 | 
        
        | gazette.agenda.speakers[15] | 牛煦庭 | 
        
        | gazette.agenda.speakers[16] | 陳超明 | 
        
        | gazette.agenda.speakers[17] | 鍾佳濱 | 
        
        | gazette.agenda.speakers[18] | 何欣純 | 
        
        | gazette.agenda.speakers[19] | 葉元之 | 
        
        | gazette.agenda.speakers[20] | 林倩綺 | 
        
        | gazette.agenda.speakers[21] | 洪孟楷 | 
        
        | gazette.agenda.speakers[22] | 張嘉郡 | 
        
        | gazette.agenda.page_start | 245 | 
        
        | gazette.agenda.meetingDate[0] | 2024-11-27 | 
        
        | gazette.agenda.gazette_id | 11310501 | 
        
        | gazette.agenda.agenda_lcidc_ids[0] | 11310501_00010 | 
        
        | gazette.agenda.meet_name | 立法院第11屆第2會期經濟委員會第17次全體委員會議紀錄 | 
        
        | gazette.agenda.content | 審查114年度中央政府總預算案關於經濟部及所屬單位預算部分(詢答) | 
        
        | gazette.agenda.agenda_id | 11310501_00012 |