| IVOD_ID |
168283 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/168283 |
| 日期 |
2026-04-08 |
| 會議資料.會議代碼 |
委員會-11-5-22-5 |
| 會議資料.會議代碼:str |
第11屆第5會期教育及文化委員會第5次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
5 |
| 會議資料.會次 |
5 |
| 會議資料.種類 |
委員會 |
| 會議資料.委員會代碼[0] |
22 |
| 會議資料.委員會代碼:str[0] |
教育及文化委員會 |
| 會議資料.標題 |
第11屆第5會期教育及文化委員會第5次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2026-04-08T12:06:50+08:00 |
| 結束時間 |
2026-04-08T12:18:33+08:00 |
| 影片長度 |
00:11:43 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/70d8fc05dcd8abb072ef284d606d787db9b76447cfe948db3efd812baa63ee58231dcb1897cc80d85ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
葉元之 |
| 委員發言時間 |
12:06:50 - 12:18:33 |
| 會議時間 |
2026-04-08T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第5會期教育及文化委員會第5次全體委員會議（事由：邀請國家科學及技術委員會主任委員吳誠文列席報告業務概況，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
0.03096875 |
| transcript.pyannote[0].end |
1.83659375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
2.81534375 |
| transcript.pyannote[1].end |
3.67596875 |
| transcript.pyannote[2].speaker |
SPEAKER_00 |
| transcript.pyannote[2].start |
18.67784375 |
| transcript.pyannote[2].end |
20.90534375 |
| transcript.pyannote[3].speaker |
SPEAKER_00 |
| transcript.pyannote[3].start |
21.00659375 |
| transcript.pyannote[3].end |
21.71534375 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
21.96846875 |
| transcript.pyannote[4].end |
22.20471875 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
27.26721875 |
| transcript.pyannote[5].end |
32.49846875 |
| transcript.pyannote[6].speaker |
SPEAKER_01 |
| transcript.pyannote[6].start |
27.75659375 |
| transcript.pyannote[6].end |
28.61721875 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
33.02159375 |
| transcript.pyannote[7].end |
42.57284375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
42.64034375 |
| transcript.pyannote[8].end |
46.25159375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
46.63971875 |
| transcript.pyannote[9].end |
53.03534375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
53.65971875 |
| transcript.pyannote[10].end |
55.76909375 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
56.35971875 |
| transcript.pyannote[11].end |
79.22534375 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
79.61346875 |
| transcript.pyannote[12].end |
81.21659375 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
81.75659375 |
| transcript.pyannote[13].end |
85.68846875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
85.99221875 |
| transcript.pyannote[14].end |
89.09721875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
89.19846875 |
| transcript.pyannote[15].end |
95.29034375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
95.79659375 |
| transcript.pyannote[16].end |
107.57534375 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
107.94659375 |
| transcript.pyannote[17].end |
109.00971875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
109.07721875 |
| transcript.pyannote[18].end |
110.15721875 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
110.64659375 |
| transcript.pyannote[19].end |
114.40971875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
114.54471875 |
| transcript.pyannote[20].end |
117.51471875 |
| transcript.pyannote[21].speaker |
SPEAKER_01 |
| transcript.pyannote[21].start |
117.68346875 |
| transcript.pyannote[21].end |
125.71596875 |
| transcript.pyannote[22].speaker |
SPEAKER_01 |
| transcript.pyannote[22].start |
125.74971875 |
| transcript.pyannote[22].end |
130.69409375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
129.61409375 |
| transcript.pyannote[23].end |
130.40721875 |
| transcript.pyannote[24].speaker |
SPEAKER_00 |
| transcript.pyannote[24].start |
130.69409375 |
| transcript.pyannote[24].end |
130.77846875 |
| transcript.pyannote[25].speaker |
SPEAKER_01 |
| transcript.pyannote[25].start |
130.77846875 |
| transcript.pyannote[25].end |
130.79534375 |
| transcript.pyannote[26].speaker |
SPEAKER_00 |
| transcript.pyannote[26].start |
130.79534375 |
| transcript.pyannote[26].end |
130.87971875 |
| transcript.pyannote[27].speaker |
SPEAKER_01 |
| transcript.pyannote[27].start |
130.87971875 |
| transcript.pyannote[27].end |
131.03159375 |
| transcript.pyannote[28].speaker |
SPEAKER_00 |
| transcript.pyannote[28].start |
131.03159375 |
| transcript.pyannote[28].end |
134.44034375 |
| transcript.pyannote[29].speaker |
SPEAKER_00 |
| transcript.pyannote[29].start |
134.81159375 |
| transcript.pyannote[29].end |
144.07596875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
144.71721875 |
| transcript.pyannote[30].end |
153.45846875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
153.99846875 |
| transcript.pyannote[31].end |
156.37784375 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
156.78284375 |
| transcript.pyannote[32].end |
156.79971875 |
| transcript.pyannote[33].speaker |
SPEAKER_01 |
| transcript.pyannote[33].start |
156.79971875 |
| transcript.pyannote[33].end |
156.83346875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
156.83346875 |
| transcript.pyannote[34].end |
156.96846875 |
| transcript.pyannote[35].speaker |
SPEAKER_01 |
| transcript.pyannote[35].start |
156.96846875 |
| transcript.pyannote[35].end |
157.13721875 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
157.13721875 |
| transcript.pyannote[36].end |
158.28471875 |
| transcript.pyannote[37].speaker |
SPEAKER_01 |
| transcript.pyannote[37].start |
157.23846875 |
| transcript.pyannote[37].end |
157.32284375 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
159.06096875 |
| transcript.pyannote[38].end |
166.60409375 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
168.13971875 |
| transcript.pyannote[39].end |
169.43909375 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
170.19846875 |
| transcript.pyannote[40].end |
171.64971875 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
172.15596875 |
| transcript.pyannote[41].end |
173.13471875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
174.11346875 |
| transcript.pyannote[42].end |
175.58159375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
176.12159375 |
| transcript.pyannote[43].end |
184.13721875 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
184.60971875 |
| transcript.pyannote[44].end |
187.07346875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
187.36034375 |
| transcript.pyannote[45].end |
232.48409375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
233.24346875 |
| transcript.pyannote[46].end |
240.51659375 |
| transcript.pyannote[47].speaker |
SPEAKER_01 |
| transcript.pyannote[47].start |
240.98909375 |
| transcript.pyannote[47].end |
246.03471875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
241.96784375 |
| transcript.pyannote[48].end |
242.17034375 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
246.03471875 |
| transcript.pyannote[49].end |
255.06284375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
255.65346875 |
| transcript.pyannote[50].end |
256.69971875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
257.29034375 |
| transcript.pyannote[51].end |
259.02846875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
259.51784375 |
| transcript.pyannote[52].end |
264.88409375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
265.42409375 |
| transcript.pyannote[53].end |
275.95409375 |
| transcript.pyannote[54].speaker |
SPEAKER_01 |
| transcript.pyannote[54].start |
276.42659375 |
| transcript.pyannote[54].end |
276.44346875 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
276.44346875 |
| transcript.pyannote[55].end |
278.62034375 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
279.14346875 |
| transcript.pyannote[56].end |
280.03784375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
280.17284375 |
| transcript.pyannote[57].end |
283.44659375 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
284.20596875 |
| transcript.pyannote[58].end |
284.94846875 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
285.53909375 |
| transcript.pyannote[59].end |
289.72409375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
290.16284375 |
| transcript.pyannote[60].end |
295.05659375 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
295.83284375 |
| transcript.pyannote[61].end |
298.98846875 |
| transcript.pyannote[62].speaker |
SPEAKER_01 |
| transcript.pyannote[62].start |
297.03096875 |
| transcript.pyannote[62].end |
297.48659375 |
| transcript.pyannote[63].speaker |
SPEAKER_01 |
| transcript.pyannote[63].start |
299.54534375 |
| transcript.pyannote[63].end |
306.02534375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
306.02534375 |
| transcript.pyannote[64].end |
306.05909375 |
| transcript.pyannote[65].speaker |
SPEAKER_01 |
| transcript.pyannote[65].start |
306.05909375 |
| transcript.pyannote[65].end |
306.36284375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
306.36284375 |
| transcript.pyannote[66].end |
310.88534375 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
311.59409375 |
| transcript.pyannote[67].end |
313.36596875 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
314.14221875 |
| transcript.pyannote[68].end |
321.33096875 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
320.90909375 |
| transcript.pyannote[69].end |
327.03471875 |
| transcript.pyannote[70].speaker |
SPEAKER_00 |
| transcript.pyannote[70].start |
327.03471875 |
| transcript.pyannote[70].end |
327.55784375 |
| transcript.pyannote[71].speaker |
SPEAKER_01 |
| transcript.pyannote[71].start |
327.55784375 |
| transcript.pyannote[71].end |
328.21596875 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
327.70971875 |
| transcript.pyannote[72].end |
328.04721875 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
328.21596875 |
| transcript.pyannote[73].end |
340.24784375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
340.88909375 |
| transcript.pyannote[74].end |
341.90159375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
342.76221875 |
| transcript.pyannote[75].end |
343.77471875 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
344.43284375 |
| transcript.pyannote[76].end |
345.73221875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
346.12034375 |
| transcript.pyannote[77].end |
350.03534375 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
351.57096875 |
| transcript.pyannote[78].end |
352.34721875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
352.41471875 |
| transcript.pyannote[79].end |
354.47346875 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
355.23284375 |
| transcript.pyannote[80].end |
359.55284375 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
360.17721875 |
| transcript.pyannote[81].end |
362.50596875 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
362.80971875 |
| transcript.pyannote[82].end |
368.51346875 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
369.15471875 |
| transcript.pyannote[83].end |
379.48221875 |
| transcript.pyannote[84].speaker |
SPEAKER_01 |
| transcript.pyannote[84].start |
379.98846875 |
| transcript.pyannote[84].end |
392.99909375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
384.24096875 |
| transcript.pyannote[85].end |
385.92846875 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
392.99909375 |
| transcript.pyannote[86].end |
408.33846875 |
| transcript.pyannote[87].speaker |
SPEAKER_01 |
| transcript.pyannote[87].start |
399.22596875 |
| transcript.pyannote[87].end |
400.20471875 |
| transcript.pyannote[88].speaker |
SPEAKER_01 |
| transcript.pyannote[88].start |
403.91721875 |
| transcript.pyannote[88].end |
404.30534375 |
| transcript.pyannote[89].speaker |
SPEAKER_01 |
| transcript.pyannote[89].start |
404.44034375 |
| transcript.pyannote[89].end |
404.89596875 |
| transcript.pyannote[90].speaker |
SPEAKER_01 |
| transcript.pyannote[90].start |
405.01409375 |
| transcript.pyannote[90].end |
406.76909375 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
408.79409375 |
| transcript.pyannote[91].end |
412.18596875 |
| transcript.pyannote[92].speaker |
SPEAKER_01 |
| transcript.pyannote[92].start |
410.56596875 |
| transcript.pyannote[92].end |
411.05534375 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
412.50659375 |
| transcript.pyannote[93].end |
413.18159375 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
413.45159375 |
| transcript.pyannote[94].end |
418.69971875 |
| transcript.pyannote[95].speaker |
SPEAKER_01 |
| transcript.pyannote[95].start |
413.56971875 |
| transcript.pyannote[95].end |
413.89034375 |
| transcript.pyannote[96].speaker |
SPEAKER_01 |
| transcript.pyannote[96].start |
419.69534375 |
| transcript.pyannote[96].end |
422.81721875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
422.47971875 |
| transcript.pyannote[97].end |
424.20096875 |
| transcript.pyannote[98].speaker |
SPEAKER_01 |
| transcript.pyannote[98].start |
423.22221875 |
| transcript.pyannote[98].end |
424.21784375 |
| transcript.pyannote[99].speaker |
SPEAKER_00 |
| transcript.pyannote[99].start |
424.21784375 |
| transcript.pyannote[99].end |
424.23471875 |
| transcript.pyannote[100].speaker |
SPEAKER_01 |
| transcript.pyannote[100].start |
424.23471875 |
| transcript.pyannote[100].end |
424.26846875 |
| transcript.pyannote[101].speaker |
SPEAKER_00 |
| transcript.pyannote[101].start |
424.26846875 |
| transcript.pyannote[101].end |
425.21346875 |
| transcript.pyannote[102].speaker |
SPEAKER_01 |
| transcript.pyannote[102].start |
425.21346875 |
| transcript.pyannote[102].end |
430.52909375 |
| transcript.pyannote[103].speaker |
SPEAKER_00 |
| transcript.pyannote[103].start |
425.28096875 |
| transcript.pyannote[103].end |
426.31034375 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
431.62596875 |
| transcript.pyannote[104].end |
437.44784375 |
| transcript.pyannote[105].speaker |
SPEAKER_00 |
| transcript.pyannote[105].start |
437.04284375 |
| transcript.pyannote[105].end |
437.43096875 |
| transcript.pyannote[106].speaker |
SPEAKER_00 |
| transcript.pyannote[106].start |
437.44784375 |
| transcript.pyannote[106].end |
446.37471875 |
| transcript.pyannote[107].speaker |
SPEAKER_01 |
| transcript.pyannote[107].start |
446.37471875 |
| transcript.pyannote[107].end |
447.70784375 |
| transcript.pyannote[108].speaker |
SPEAKER_00 |
| transcript.pyannote[108].start |
447.03284375 |
| transcript.pyannote[108].end |
470.43846875 |
| transcript.pyannote[109].speaker |
SPEAKER_01 |
| transcript.pyannote[109].start |
456.78659375 |
| transcript.pyannote[109].end |
457.56284375 |
| transcript.pyannote[110].speaker |
SPEAKER_01 |
| transcript.pyannote[110].start |
467.78909375 |
| transcript.pyannote[110].end |
468.97034375 |
| transcript.pyannote[111].speaker |
SPEAKER_01 |
| transcript.pyannote[111].start |
470.28659375 |
| transcript.pyannote[111].end |
474.77534375 |
| transcript.pyannote[112].speaker |
SPEAKER_00 |
| transcript.pyannote[112].start |
472.81784375 |
| transcript.pyannote[112].end |
478.47096875 |
| transcript.pyannote[113].speaker |
SPEAKER_01 |
| transcript.pyannote[113].start |
475.56846875 |
| transcript.pyannote[113].end |
476.02409375 |
| transcript.pyannote[114].speaker |
SPEAKER_00 |
| transcript.pyannote[114].start |
479.21346875 |
| transcript.pyannote[114].end |
480.24284375 |
| transcript.pyannote[115].speaker |
SPEAKER_01 |
| transcript.pyannote[115].start |
480.24284375 |
| transcript.pyannote[115].end |
486.73971875 |
| transcript.pyannote[116].speaker |
SPEAKER_01 |
| transcript.pyannote[116].start |
486.92534375 |
| transcript.pyannote[116].end |
488.57909375 |
| transcript.pyannote[117].speaker |
SPEAKER_01 |
| transcript.pyannote[117].start |
488.95034375 |
| transcript.pyannote[117].end |
495.73409375 |
| transcript.pyannote[118].speaker |
SPEAKER_01 |
| transcript.pyannote[118].start |
496.42596875 |
| transcript.pyannote[118].end |
502.19721875 |
| transcript.pyannote[119].speaker |
SPEAKER_00 |
| transcript.pyannote[119].start |
500.34096875 |
| transcript.pyannote[119].end |
501.13409375 |
| transcript.pyannote[120].speaker |
SPEAKER_00 |
| transcript.pyannote[120].start |
501.70784375 |
| transcript.pyannote[120].end |
518.90346875 |
| transcript.pyannote[121].speaker |
SPEAKER_01 |
| transcript.pyannote[121].start |
517.50284375 |
| transcript.pyannote[121].end |
518.31284375 |
| transcript.pyannote[122].speaker |
SPEAKER_01 |
| transcript.pyannote[122].start |
519.15659375 |
| transcript.pyannote[122].end |
519.17346875 |
| transcript.pyannote[123].speaker |
SPEAKER_00 |
| transcript.pyannote[123].start |
519.17346875 |
| transcript.pyannote[123].end |
519.20721875 |
| transcript.pyannote[124].speaker |
SPEAKER_01 |
| transcript.pyannote[124].start |
519.20721875 |
| transcript.pyannote[124].end |
519.22409375 |
| transcript.pyannote[125].speaker |
SPEAKER_00 |
| transcript.pyannote[125].start |
519.22409375 |
| transcript.pyannote[125].end |
520.27034375 |
| transcript.pyannote[126].speaker |
SPEAKER_01 |
| transcript.pyannote[126].start |
519.37596875 |
| transcript.pyannote[126].end |
522.04221875 |
| transcript.pyannote[127].speaker |
SPEAKER_00 |
| transcript.pyannote[127].start |
520.91159375 |
| transcript.pyannote[127].end |
540.21659375 |
| transcript.pyannote[128].speaker |
SPEAKER_01 |
| transcript.pyannote[128].start |
527.91471875 |
| transcript.pyannote[128].end |
529.29846875 |
| transcript.pyannote[129].speaker |
SPEAKER_01 |
| transcript.pyannote[129].start |
538.83284375 |
| transcript.pyannote[129].end |
543.42284375 |
| transcript.pyannote[130].speaker |
SPEAKER_00 |
| transcript.pyannote[130].start |
540.38534375 |
| transcript.pyannote[130].end |
540.89159375 |
| transcript.pyannote[131].speaker |
SPEAKER_00 |
| transcript.pyannote[131].start |
543.42284375 |
| transcript.pyannote[131].end |
544.99221875 |
| transcript.pyannote[132].speaker |
SPEAKER_00 |
| transcript.pyannote[132].start |
545.14409375 |
| transcript.pyannote[132].end |
554.08784375 |
| transcript.pyannote[133].speaker |
SPEAKER_01 |
| transcript.pyannote[133].start |
554.96534375 |
| transcript.pyannote[133].end |
558.12096875 |
| transcript.pyannote[134].speaker |
SPEAKER_00 |
| transcript.pyannote[134].start |
558.12096875 |
| transcript.pyannote[134].end |
571.01346875 |
| transcript.pyannote[135].speaker |
SPEAKER_00 |
| transcript.pyannote[135].start |
571.38471875 |
| transcript.pyannote[135].end |
604.76346875 |
| transcript.pyannote[136].speaker |
SPEAKER_00 |
| transcript.pyannote[136].start |
605.25284375 |
| transcript.pyannote[136].end |
606.46784375 |
| transcript.pyannote[137].speaker |
SPEAKER_00 |
| transcript.pyannote[137].start |
607.04159375 |
| transcript.pyannote[137].end |
614.28096875 |
| transcript.pyannote[138].speaker |
SPEAKER_00 |
| transcript.pyannote[138].start |
615.31034375 |
| transcript.pyannote[138].end |
622.78596875 |
| transcript.pyannote[139].speaker |
SPEAKER_01 |
| transcript.pyannote[139].start |
622.78596875 |
| transcript.pyannote[139].end |
630.04221875 |
| transcript.pyannote[140].speaker |
SPEAKER_00 |
| transcript.pyannote[140].start |
628.28721875 |
| transcript.pyannote[140].end |
628.82721875 |
| transcript.pyannote[141].speaker |
SPEAKER_01 |
| transcript.pyannote[141].start |
630.53159375 |
| transcript.pyannote[141].end |
644.43659375 |
| transcript.pyannote[142].speaker |
SPEAKER_00 |
| transcript.pyannote[142].start |
632.23596875 |
| transcript.pyannote[142].end |
632.37096875 |
| transcript.pyannote[143].speaker |
SPEAKER_00 |
| transcript.pyannote[143].start |
643.87971875 |
| transcript.pyannote[143].end |
655.38846875 |
| transcript.pyannote[144].speaker |
SPEAKER_01 |
| transcript.pyannote[144].start |
646.76534375 |
| transcript.pyannote[144].end |
649.53284375 |
| transcript.pyannote[145].speaker |
SPEAKER_00 |
| transcript.pyannote[145].start |
655.52346875 |
| transcript.pyannote[145].end |
655.55721875 |
| transcript.pyannote[146].speaker |
SPEAKER_01 |
| transcript.pyannote[146].start |
655.55721875 |
| transcript.pyannote[146].end |
655.72596875 |
| transcript.pyannote[147].speaker |
SPEAKER_00 |
| transcript.pyannote[147].start |
655.72596875 |
| transcript.pyannote[147].end |
662.18909375 |
| transcript.pyannote[148].speaker |
SPEAKER_01 |
| transcript.pyannote[148].start |
655.74284375 |
| transcript.pyannote[148].end |
655.86096875 |
| transcript.pyannote[149].speaker |
SPEAKER_01 |
| transcript.pyannote[149].start |
660.87284375 |
| transcript.pyannote[149].end |
664.23096875 |
| transcript.pyannote[150].speaker |
SPEAKER_00 |
| transcript.pyannote[150].start |
663.92721875 |
| transcript.pyannote[150].end |
664.28159375 |
| transcript.pyannote[151].speaker |
SPEAKER_01 |
| transcript.pyannote[151].start |
664.28159375 |
| transcript.pyannote[151].end |
667.03221875 |
| transcript.pyannote[152].speaker |
SPEAKER_00 |
| transcript.pyannote[152].start |
666.93096875 |
| transcript.pyannote[152].end |
667.40346875 |
| transcript.pyannote[153].speaker |
SPEAKER_01 |
| transcript.pyannote[153].start |
667.08284375 |
| transcript.pyannote[153].end |
669.54659375 |
| transcript.pyannote[154].speaker |
SPEAKER_01 |
| transcript.pyannote[154].start |
669.93471875 |
| transcript.pyannote[154].end |
671.95971875 |
| transcript.pyannote[155].speaker |
SPEAKER_01 |
| transcript.pyannote[155].start |
672.29721875 |
| transcript.pyannote[155].end |
680.27909375 |
| transcript.pyannote[156].speaker |
SPEAKER_01 |
| transcript.pyannote[156].start |
680.61659375 |
| transcript.pyannote[156].end |
680.71784375 |
| transcript.pyannote[157].speaker |
SPEAKER_01 |
| transcript.pyannote[157].start |
680.78534375 |
| transcript.pyannote[157].end |
689.93159375 |
| transcript.pyannote[158].speaker |
SPEAKER_00 |
| transcript.pyannote[158].start |
689.00346875 |
| transcript.pyannote[158].end |
701.32221875 |
| transcript.pyannote[159].speaker |
SPEAKER_01 |
| transcript.pyannote[159].start |
700.15784375 |
| transcript.pyannote[159].end |
700.19159375 |
| transcript.pyannote[160].speaker |
SPEAKER_01 |
| transcript.pyannote[160].start |
700.20846875 |
| transcript.pyannote[160].end |
701.30534375 |
| transcript.pyannote[161].speaker |
SPEAKER_01 |
| transcript.pyannote[161].start |
701.32221875 |
| transcript.pyannote[161].end |
701.33909375 |
| transcript.pyannote[162].speaker |
SPEAKER_00 |
| transcript.pyannote[162].start |
703.34721875 |
| transcript.pyannote[162].end |
703.56659375 |
| transcript.whisperx[0].start |
0.089 |
| transcript.whisperx[0].end |
3.111 |
| transcript.whisperx[0].text |
主席好,麻煩請主委,謝謝有請主委 |
| transcript.whisperx[1].start |
27.321 |
| transcript.whisperx[1].end |
52.33 |
| transcript.whisperx[1].text |
主委喝口水啦 平心靜氣一下我想問一下現在這個中東戰事的關係讓大家開始擔憂我們國家能源的韌性什麼叫韌性 韌性應該就是說當國家面臨到特定的危機的時候應該有很強大的抵禦的能力這又有賴於超前部署跟及早的規劃但是現在台灣的能源韌性非常差你看中東一發生戰事 |
| transcript.whisperx[2].start |
53.737 |
| transcript.whisperx[2].end |
80.934 |
| transcript.whisperx[2].text |
因為過去就是非常仰賴天然氣所以影響到天然氣的進口我們的政府大量去搶現貨然後增加了幾百億的錢去做這個事情然後讓大家很擔憂那更不用講其他的問題了我今天就Focus在能源因為我看到國科會也訂定了一個淨零科技的創新方案是2026年到2030年是四年編的五百億 沒錯好像之前才 |
| transcript.whisperx[3].start |
81.835 |
| transcript.whisperx[3].end |
109.723 |
| transcript.whisperx[3].text |
那個主委也才宣布等一下我請主委來講一下你這個創新方案的內容但我想要先問一件事情因為我們國家其實很多單位都在做淨零碳盤的研究比如說中研院中研院它也有一個規劃它也是在說要針對比如說地熱、生殖能、海洋能高效太陽光電什麼去碳燃氫這些去做研究然後我們行政院 |
| transcript.whisperx[4].start |
110.823 |
| transcript.whisperx[4].end |
133.403 |
| transcript.whisperx[4].text |
辦公室也有一個2050年的淨零碳排的目標我不知道國會主委你知道嗎行政院的目標我知道報告委員其實整個行政院整個國家我們的科技預算的編列是由國會來負責所以我們的這個淨零科技方案是涵蓋我們整個政府的不是只有國會但是目標不一樣就很怪我跟你講你聽我講 |
| transcript.whisperx[5].start |
135.324 |
| transcript.whisperx[5].end |
158.032 |
| transcript.whisperx[5].text |
你現在行政院的網站都查得到你也可以去查你知不知道現在在我們行政院的網站上面2050淨零碳排的目標以能源這一塊你知道在2050年我們國家的能源超過一半六成以上是要什麼能源你知道嗎你知道在行政院上面的規劃你知道是什麼嗎是要綠能 |
| transcript.whisperx[6].start |
160.011 |
| transcript.whisperx[6].end |
183.553 |
| transcript.whisperx[6].text |
對 60到70是再生能源對啊好 那你知道按照行政院的規劃60 70再生能源是以什麼為主嗎好啦 不為難你 我跟你講啦風力跟光電啦你覺得有可能嗎主委你覺得有可能嗎這個還要再努力啦這不可能的事嘛因為我們現在坦白說啦 我們現在的光電 |
| transcript.whisperx[7].start |
184.656 |
| transcript.whisperx[7].end |
212.612 |
| transcript.whisperx[7].text |
我看得出來好像賴總統也不是很想推了啦因為他已經能放的地方都放了嘛水庫也放了高雄整個山頭砍掉也在放哪裡都在放光電板什麼漁電工生然後什麼農電工生所以他能夠發展已經很有限了好那我們講風力發電風力發電分兩種嘛陸域 海域跟陸基嘛海域的現在能放的我看也差不多了啦你再放就影響航道了啦陸域的話地方政府大概也都不會同意了啦 |
| transcript.whisperx[8].start |
213.172 |
| transcript.whisperx[8].end |
239.875 |
| transcript.whisperx[8].text |
所以我覺得風力發電也都很有限結果你現在我們行政院的網站跟我們講說2050年淨零碳排60到70再生能源要以風力跟光電為主我這太脫離現實了吧那我現在跟主委講這件事情主要目的是說既然你剛剛也提到了嘛行政院整體來說只要是做能源方面的科研的計畫都是編在國科會 |
| transcript.whisperx[9].start |
241.018 |
| transcript.whisperx[9].end |
262.757 |
| transcript.whisperx[9].text |
那你也要去跟不是編在國會是編在我們科技預算裡面但是是各部會在執行好啦我知道啦就是說跟你有關嘛那你是不是要去跟行政院講一下至少網站改一下或你訂一個新的戰略目標出來啊不然我覺得很好笑欸然後中研院院長喔上次他講啊他說去年我們大概台灣發電是2800億度 |
| transcript.whisperx[10].start |
265.458 |
| transcript.whisperx[10].end |
294.83 |
| transcript.whisperx[10].text |
然後他的評估啦 2050年 你知道台灣大概用電量因為AI發展嘛 大家今天都在講AI 講那個半導體只要他的預估大概2050年大概需要多少電嘛5000億度 5000億度到6000億度換言之 2050年的發電量要去年的兩倍啦要兩倍 我真的很擔憂啦那個主委你覺得在這25年 今年2026啦在24年我們的發電量要到兩倍 |
| transcript.whisperx[11].start |
295.885 |
| transcript.whisperx[11].end |
313.112 |
| transcript.whisperx[11].text |
有可能嗎?根據現在國科會你們的規劃是什麼?這個應該是整個經濟發展的需求估算出來的啦當然嘛,我們就是要以那個預估嘛不然大家在講什麼AI都沒有用嘛,因為你要有電啊 |
| transcript.whisperx[12].start |
314.238 |
| transcript.whisperx[12].end |
334.81 |
| transcript.whisperx[12].text |
算力及電力嘛那大家都知道的事情我現在是問你說以國會你是做研究啊你一定要發展出新能源出來所以現在國會其實是我們在支持各種能源的開發的這個研究我們在支持我知道你會支持但你要有個方向嘛你去思考一下這24年就2026年到2050年20幾年間我們要怎麼樣讓我們的發電量變兩倍我問你 |
| transcript.whisperx[13].start |
342.939 |
| transcript.whisperx[13].end |
368.021 |
| transcript.whisperx[13].text |
我們現在2026我們往前推二十幾年兩千年的時候我們那時候的發電跟現在發電有到兩倍嗎有到兩倍嗎二十幾年要增加兩倍要增加兩千多億度出來這個是很有挑戰當然啊那你覺得最有機會的是哪一項我看中研院他們是認為說是以地熱跟海洋能作為前瞻人員那國科會 |
| transcript.whisperx[14].start |
369.212 |
| transcript.whisperx[14].end |
378.98 |
| transcript.whisperx[14].text |
你們主要是針對哪幾項比如說大家跟你申請錢嘛就像你剛剛講的大家跟你申請錢你針對哪幾項你覺得有機會發展你要特別重點補助去發展的是哪幾項 |
| transcript.whisperx[15].start |
380.031 |
| transcript.whisperx[15].end |
406.148 |
| transcript.whisperx[15].text |
我們所有可能性都補助剛剛委員提到不管是地熱海洋能只要學生可以投入我們新的核能技術網民也投入所以各種可能性都有我覺得國科會也不能完全沒有戰略思考就是說只要你是發展跟能源有關的我就補助好像大家散彈打鳥你要先定出戰略能源發展方向出來我們所有不能所有啦你覺得最有機會是哪 |
| transcript.whisperx[16].start |
409.451 |
| transcript.whisperx[16].end |
430.237 |
| transcript.whisperx[16].text |
舉前兩項每一個都有機會啦舉兩項啦兩項總是有嘛人家中研院都可以講出地熱跟海洋能的你國會主委你講不出來喔地熱跟海洋能是其中的兩個對對對那其他你覺得還有哪些是很值得發展我剛剛已經講了我們包含這個新的核能我們也投資啦那新的核能有沒有核廢料 |
| transcript.whisperx[17].start |
431.667 |
| transcript.whisperx[17].end |
448.402 |
| transcript.whisperx[17].text |
核廢料現在要避免是很困難的但是大幅度的降低這是有可能的因為新河也是有核廢料你只要有核廢料民進黨就會問你說那核廢料放你煮回家嗎他接下來就會問這件事我們只是研究因為大幅度的降低你研究都不行 |
| transcript.whisperx[18].start |
448.942 |
| transcript.whisperx[18].end |
478.277 |
| transcript.whisperx[18].text |
因為你只要提到像我們那時候在修核管法只是讓核電廠申請研議的時間放寬而已他就說核廢料要放我家了所以你去做研究他也說核廢料要放你家學術研究哪有核廢料學術研究只是在探討你不能做那件事啦你做那件事會被罵啦你要研究的話就是要研究出新核能沒有核廢料的不會被罵為什麼因為你不研究你也不知道它有沒有危險所以新核能是沒有核廢料很難沒有核廢料嘛很難沒有嘛 |
| transcript.whisperx[19].start |
479.481 |
| transcript.whisperx[19].end |
495.496 |
| transcript.whisperx[19].text |
很難沒有嘛不是核廢料還有包含核廢料的活性它的半衰期它的輻射量你如果能夠降到這個核廢料的輻射量降到最低它的半衰期很短儲藏的時間可以縮短 |
| transcript.whisperx[20].start |
496.938 |
| transcript.whisperx[20].end |
518.54 |
| transcript.whisperx[20].text |
確保安全 民眾可以接受的時候才會去進行嘛所以一定要做研究啦我是支持啦 我只是怕你被罵啦然後再來就是像國家原子能科技研究院他們的計畫是2035年要發第一度電SMR的 新核能的這個你們有補助10億元嘛 對吧我們有補助 對已經補助了嗎 |
| transcript.whisperx[21].start |
519.264 |
| transcript.whisperx[21].end |
544.264 |
| transcript.whisperx[21].text |
所以這個就是現在正在審查所以這個東西就是你剛講的只要任何你是研究能源相關的新能源的你們都補助我們要投入你們都投入但我還是強烈建議主委你要有一個戰略的思考就是一個方向不要省在哪裡畢竟國家資源也是有限的而且時間也不多了謝謝委員委員心目中想的我們都有投入然後再來 |
| transcript.whisperx[22].start |
545.685 |
| transcript.whisperx[22].end |
570.604 |
| transcript.whisperx[22].text |
問一下人才 因為我看主委你有接受媒體訪問你是希望新創矽谷的人才都可以回來台灣嘛投入我們的AI產業嘛是 我們希望能夠做那種創新應用的人才我是有看到說你的方法是你要編100億啦 投資基金啦去投資一些新創公司透過新創公司形成產業鏈然後讓他們在這邊有工作機會可以回來那我覺得 |
| transcript.whisperx[23].start |
571.525 |
| transcript.whisperx[23].end |
601.094 |
| transcript.whisperx[23].text |
所以可能你可能要思考另外一個面向因為現在真正懂很多懂AI的其實是在國外的大型公司比如說像亞馬遜阿里巴巴這種那我們其實還蠻需要這種高階的AI人才可以回到台灣來加入台灣的AI產業那你現在用新創公司比如說你用100億投資那你投資一定是那種新創的就是說他也不知道能不能成功嘛你去支持嘛然後希望他們可以投入那以國外 |
| transcript.whisperx[24].start |
601.614 |
| transcript.whisperx[24].end |
628.691 |
| transcript.whisperx[24].text |
已經在大公司很穩健工作的人對他誘因不大啦對他誘因不大所以你應該也要提一個方案出來就是說怎麼協助台灣的企業針對我剛剛講的那些就是已經在國外AI公司已經非常成熟的人要怎麼讓他回來我覺得要提出類似的方案出來我們的新創的方案其實包含這個就是吸引國外的人才回來那回來的 |
| transcript.whisperx[25].start |
630.812 |
| transcript.whisperx[25].end |
655.098 |
| transcript.whisperx[25].text |
為什麼可以吸引他們就是因為新創是一個科技公司它有前景它有發展的這個機會你在一個大公司只是一個螺絲釘你就是拿薪水所以它有這樣的這個發展的機會但是對它來說有成本啊它等於是放棄一家大公司因為政府在支持政府在支持不是只有我覺得你可以試試看當然如果有機會有做得到當然很棒 |
| transcript.whisperx[26].start |
655.798 |
| transcript.whisperx[26].end |
678.273 |
| transcript.whisperx[26].text |
可是很可能針對我剛剛講的那部分誘因是不大的所以可能還是要想別的方法出來我們會盡量提供還有其他的研發的補助還有我們要開拓我們自己的內需市場因為我們建的算力目的就是要應用如果沒有應用建的算力就沒有用了就浪費錢所以一定要發展各種各樣的應用這是創造未來新公司的一個機會讓年輕人 |
| transcript.whisperx[27].start |
681.516 |
| transcript.whisperx[27].end |
700.237 |
| transcript.whisperx[27].text |
不必說一定要強迫自己進到既有的公司大公司當一個螺絲釘而已而是可以開創自己未來這種機會我們趕快放出來這個因為每個人都見仁見智有的人就喜歡去大公司所以我只是說提醒你啦透過新創公司要吸引人才我自己我覺得效果有限但也不想潑你冷水啊你可以試試看啦好 謝謝 |