| IVOD_ID |
164265 |
| IVOD_URL |
https://ivod.ly.gov.tw/Play/Clip/1M/164265 |
| 日期 |
2025-10-16 |
| 會議資料.會議代碼 |
委員會-11-4-19-4 |
| 會議資料.會議代碼:str |
第11屆第4會期經濟委員會第4次全體委員會議 |
| 會議資料.屆 |
11 |
| 會議資料.會期 |
4 |
| 會議資料.會次 |
4 |
| 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4會期經濟委員會第4次全體委員會議 |
| 影片種類 |
Clip |
| 開始時間 |
2025-10-16T10:50:19+08:00 |
| 結束時間 |
2025-10-16T10:58:21+08:00 |
| 影片長度 |
00:08:02 |
| 支援功能[0] |
ai-transcript |
| video_url |
https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/6022c9f6d63255a3fa1a32aa211dea43bc4230b8fec4a4bdd77ab6ef5aede8983eb26cf665c94cb75ea18f28b6918d91.mp4/playlist.m3u8 |
| 委員名稱 |
陳超明 |
| 委員發言時間 |
10:50:19 - 10:58:21 |
| 會議時間 |
2025-10-16T09:00:00+08:00 |
| 會議名稱 |
立法院第11屆第4會期經濟委員會第4次全體委員會議（事由：邀請公平交易委員會代理主任委員列席報告業務概況，並備質詢。） |
| transcript.pyannote[0].speaker |
SPEAKER_00 |
| transcript.pyannote[0].start |
6.05534375 |
| transcript.pyannote[0].end |
7.27034375 |
| transcript.pyannote[1].speaker |
SPEAKER_00 |
| transcript.pyannote[1].start |
7.99596875 |
| transcript.pyannote[1].end |
11.70846875 |
| transcript.pyannote[2].speaker |
SPEAKER_01 |
| transcript.pyannote[2].start |
12.97409375 |
| transcript.pyannote[2].end |
14.05409375 |
| transcript.pyannote[3].speaker |
SPEAKER_01 |
| transcript.pyannote[3].start |
14.35784375 |
| transcript.pyannote[3].end |
14.88096875 |
| transcript.pyannote[4].speaker |
SPEAKER_00 |
| transcript.pyannote[4].start |
19.38659375 |
| transcript.pyannote[4].end |
20.09534375 |
| transcript.pyannote[5].speaker |
SPEAKER_00 |
| transcript.pyannote[5].start |
20.43284375 |
| transcript.pyannote[5].end |
21.54659375 |
| transcript.pyannote[6].speaker |
SPEAKER_00 |
| transcript.pyannote[6].start |
22.42409375 |
| transcript.pyannote[6].end |
26.64284375 |
| transcript.pyannote[7].speaker |
SPEAKER_00 |
| transcript.pyannote[7].start |
27.25034375 |
| transcript.pyannote[7].end |
29.57909375 |
| transcript.pyannote[8].speaker |
SPEAKER_00 |
| transcript.pyannote[8].start |
30.13596875 |
| transcript.pyannote[8].end |
32.75159375 |
| transcript.pyannote[9].speaker |
SPEAKER_00 |
| transcript.pyannote[9].start |
33.17346875 |
| transcript.pyannote[9].end |
37.37534375 |
| transcript.pyannote[10].speaker |
SPEAKER_00 |
| transcript.pyannote[10].start |
37.71284375 |
| transcript.pyannote[10].end |
39.28221875 |
| transcript.pyannote[11].speaker |
SPEAKER_00 |
| transcript.pyannote[11].start |
39.90659375 |
| transcript.pyannote[11].end |
42.01596875 |
| transcript.pyannote[12].speaker |
SPEAKER_00 |
| transcript.pyannote[12].start |
42.11721875 |
| transcript.pyannote[12].end |
44.10846875 |
| transcript.pyannote[13].speaker |
SPEAKER_00 |
| transcript.pyannote[13].start |
45.39096875 |
| transcript.pyannote[13].end |
49.27221875 |
| transcript.pyannote[14].speaker |
SPEAKER_00 |
| transcript.pyannote[14].start |
49.79534375 |
| transcript.pyannote[14].end |
56.42721875 |
| transcript.pyannote[15].speaker |
SPEAKER_00 |
| transcript.pyannote[15].start |
57.10221875 |
| transcript.pyannote[15].end |
59.34659375 |
| transcript.pyannote[16].speaker |
SPEAKER_00 |
| transcript.pyannote[16].start |
60.08909375 |
| transcript.pyannote[16].end |
61.96221875 |
| transcript.pyannote[17].speaker |
SPEAKER_00 |
| transcript.pyannote[17].start |
62.28284375 |
| transcript.pyannote[17].end |
72.45846875 |
| transcript.pyannote[18].speaker |
SPEAKER_00 |
| transcript.pyannote[18].start |
73.26846875 |
| transcript.pyannote[18].end |
76.72784375 |
| transcript.pyannote[19].speaker |
SPEAKER_00 |
| transcript.pyannote[19].start |
77.23409375 |
| transcript.pyannote[19].end |
91.05471875 |
| transcript.pyannote[20].speaker |
SPEAKER_00 |
| transcript.pyannote[20].start |
91.69596875 |
| transcript.pyannote[20].end |
111.13596875 |
| transcript.pyannote[21].speaker |
SPEAKER_00 |
| transcript.pyannote[21].start |
111.50721875 |
| transcript.pyannote[21].end |
117.21096875 |
| transcript.pyannote[22].speaker |
SPEAKER_00 |
| transcript.pyannote[22].start |
117.63284375 |
| transcript.pyannote[22].end |
119.69159375 |
| transcript.pyannote[23].speaker |
SPEAKER_00 |
| transcript.pyannote[23].start |
120.16409375 |
| transcript.pyannote[23].end |
121.29471875 |
| transcript.pyannote[24].speaker |
SPEAKER_01 |
| transcript.pyannote[24].start |
121.58159375 |
| transcript.pyannote[24].end |
121.81784375 |
| transcript.pyannote[25].speaker |
SPEAKER_00 |
| transcript.pyannote[25].start |
121.81784375 |
| transcript.pyannote[25].end |
124.85534375 |
| transcript.pyannote[26].speaker |
SPEAKER_01 |
| transcript.pyannote[26].start |
121.85159375 |
| transcript.pyannote[26].end |
122.17221875 |
| transcript.pyannote[27].speaker |
SPEAKER_00 |
| transcript.pyannote[27].start |
125.27721875 |
| transcript.pyannote[27].end |
143.29971875 |
| transcript.pyannote[28].speaker |
SPEAKER_01 |
| transcript.pyannote[28].start |
130.25534375 |
| transcript.pyannote[28].end |
130.42409375 |
| transcript.pyannote[29].speaker |
SPEAKER_01 |
| transcript.pyannote[29].start |
143.82284375 |
| transcript.pyannote[29].end |
147.01221875 |
| transcript.pyannote[30].speaker |
SPEAKER_00 |
| transcript.pyannote[30].start |
145.40909375 |
| transcript.pyannote[30].end |
152.41221875 |
| transcript.pyannote[31].speaker |
SPEAKER_00 |
| transcript.pyannote[31].start |
152.73284375 |
| transcript.pyannote[31].end |
157.13721875 |
| transcript.pyannote[32].speaker |
SPEAKER_00 |
| transcript.pyannote[32].start |
158.82471875 |
| transcript.pyannote[32].end |
159.29721875 |
| transcript.pyannote[33].speaker |
SPEAKER_00 |
| transcript.pyannote[33].start |
160.19159375 |
| transcript.pyannote[33].end |
160.84971875 |
| transcript.pyannote[34].speaker |
SPEAKER_00 |
| transcript.pyannote[34].start |
161.35596875 |
| transcript.pyannote[34].end |
161.72721875 |
| transcript.pyannote[35].speaker |
SPEAKER_00 |
| transcript.pyannote[35].start |
162.16596875 |
| transcript.pyannote[35].end |
164.78159375 |
| transcript.pyannote[36].speaker |
SPEAKER_00 |
| transcript.pyannote[36].start |
165.13596875 |
| transcript.pyannote[36].end |
165.76034375 |
| transcript.pyannote[37].speaker |
SPEAKER_00 |
| transcript.pyannote[37].start |
166.46909375 |
| transcript.pyannote[37].end |
173.87721875 |
| transcript.pyannote[38].speaker |
SPEAKER_00 |
| transcript.pyannote[38].start |
174.01221875 |
| transcript.pyannote[38].end |
178.50096875 |
| transcript.pyannote[39].speaker |
SPEAKER_00 |
| transcript.pyannote[39].start |
179.10846875 |
| transcript.pyannote[39].end |
185.52096875 |
| transcript.pyannote[40].speaker |
SPEAKER_00 |
| transcript.pyannote[40].start |
186.76971875 |
| transcript.pyannote[40].end |
189.65534375 |
| transcript.pyannote[41].speaker |
SPEAKER_00 |
| transcript.pyannote[41].start |
191.27534375 |
| transcript.pyannote[41].end |
194.02596875 |
| transcript.pyannote[42].speaker |
SPEAKER_00 |
| transcript.pyannote[42].start |
194.66721875 |
| transcript.pyannote[42].end |
201.80534375 |
| transcript.pyannote[43].speaker |
SPEAKER_00 |
| transcript.pyannote[43].start |
201.90659375 |
| transcript.pyannote[43].end |
205.88909375 |
| transcript.pyannote[44].speaker |
SPEAKER_00 |
| transcript.pyannote[44].start |
206.29409375 |
| transcript.pyannote[44].end |
209.17971875 |
| transcript.pyannote[45].speaker |
SPEAKER_00 |
| transcript.pyannote[45].start |
209.85471875 |
| transcript.pyannote[45].end |
211.76159375 |
| transcript.pyannote[46].speaker |
SPEAKER_00 |
| transcript.pyannote[46].start |
213.01034375 |
| transcript.pyannote[46].end |
219.79409375 |
| transcript.pyannote[47].speaker |
SPEAKER_00 |
| transcript.pyannote[47].start |
220.43534375 |
| transcript.pyannote[47].end |
229.86846875 |
| transcript.pyannote[48].speaker |
SPEAKER_00 |
| transcript.pyannote[48].start |
230.54346875 |
| transcript.pyannote[48].end |
232.73721875 |
| transcript.pyannote[49].speaker |
SPEAKER_00 |
| transcript.pyannote[49].start |
233.37846875 |
| transcript.pyannote[49].end |
236.43284375 |
| transcript.pyannote[50].speaker |
SPEAKER_00 |
| transcript.pyannote[50].start |
237.14159375 |
| transcript.pyannote[50].end |
238.10346875 |
| transcript.pyannote[51].speaker |
SPEAKER_00 |
| transcript.pyannote[51].start |
238.82909375 |
| transcript.pyannote[51].end |
242.35596875 |
| transcript.pyannote[52].speaker |
SPEAKER_00 |
| transcript.pyannote[52].start |
242.87909375 |
| transcript.pyannote[52].end |
247.06409375 |
| transcript.pyannote[53].speaker |
SPEAKER_00 |
| transcript.pyannote[53].start |
247.85721875 |
| transcript.pyannote[53].end |
249.29159375 |
| transcript.pyannote[54].speaker |
SPEAKER_00 |
| transcript.pyannote[54].start |
249.96659375 |
| transcript.pyannote[54].end |
251.04659375 |
| transcript.pyannote[55].speaker |
SPEAKER_00 |
| transcript.pyannote[55].start |
251.41784375 |
| transcript.pyannote[55].end |
251.73846875 |
| transcript.pyannote[56].speaker |
SPEAKER_00 |
| transcript.pyannote[56].start |
252.32909375 |
| transcript.pyannote[56].end |
254.15159375 |
| transcript.pyannote[57].speaker |
SPEAKER_00 |
| transcript.pyannote[57].start |
254.77596875 |
| transcript.pyannote[57].end |
256.22721875 |
| transcript.pyannote[58].speaker |
SPEAKER_00 |
| transcript.pyannote[58].start |
257.34096875 |
| transcript.pyannote[58].end |
271.06034375 |
| transcript.pyannote[59].speaker |
SPEAKER_00 |
| transcript.pyannote[59].start |
271.90409375 |
| transcript.pyannote[59].end |
278.48534375 |
| transcript.pyannote[60].speaker |
SPEAKER_00 |
| transcript.pyannote[60].start |
279.22784375 |
| transcript.pyannote[60].end |
282.14721875 |
| transcript.pyannote[61].speaker |
SPEAKER_00 |
| transcript.pyannote[61].start |
282.85596875 |
| transcript.pyannote[61].end |
290.38221875 |
| transcript.pyannote[62].speaker |
SPEAKER_00 |
| transcript.pyannote[62].start |
291.00659375 |
| transcript.pyannote[62].end |
291.93471875 |
| transcript.pyannote[63].speaker |
SPEAKER_00 |
| transcript.pyannote[63].start |
292.77846875 |
| transcript.pyannote[63].end |
294.44909375 |
| transcript.pyannote[64].speaker |
SPEAKER_00 |
| transcript.pyannote[64].start |
295.24221875 |
| transcript.pyannote[64].end |
297.04784375 |
| transcript.pyannote[65].speaker |
SPEAKER_00 |
| transcript.pyannote[65].start |
297.58784375 |
| transcript.pyannote[65].end |
301.03034375 |
| transcript.pyannote[66].speaker |
SPEAKER_00 |
| transcript.pyannote[66].start |
301.14846875 |
| transcript.pyannote[66].end |
301.18221875 |
| transcript.pyannote[67].speaker |
SPEAKER_00 |
| transcript.pyannote[67].start |
301.19909375 |
| transcript.pyannote[67].end |
302.78534375 |
| transcript.pyannote[68].speaker |
SPEAKER_00 |
| transcript.pyannote[68].start |
303.22409375 |
| transcript.pyannote[68].end |
307.10534375 |
| transcript.pyannote[69].speaker |
SPEAKER_01 |
| transcript.pyannote[69].start |
305.80596875 |
| transcript.pyannote[69].end |
306.76784375 |
| transcript.pyannote[70].speaker |
SPEAKER_01 |
| transcript.pyannote[70].start |
307.10534375 |
| transcript.pyannote[70].end |
312.70784375 |
| transcript.pyannote[71].speaker |
SPEAKER_00 |
| transcript.pyannote[71].start |
311.52659375 |
| transcript.pyannote[71].end |
313.72034375 |
| transcript.pyannote[72].speaker |
SPEAKER_00 |
| transcript.pyannote[72].start |
314.69909375 |
| transcript.pyannote[72].end |
317.26409375 |
| transcript.pyannote[73].speaker |
SPEAKER_00 |
| transcript.pyannote[73].start |
317.73659375 |
| transcript.pyannote[73].end |
321.65159375 |
| transcript.pyannote[74].speaker |
SPEAKER_00 |
| transcript.pyannote[74].start |
322.68096875 |
| transcript.pyannote[74].end |
324.95909375 |
| transcript.pyannote[75].speaker |
SPEAKER_00 |
| transcript.pyannote[75].start |
325.73534375 |
| transcript.pyannote[75].end |
327.65909375 |
| transcript.pyannote[76].speaker |
SPEAKER_00 |
| transcript.pyannote[76].start |
327.87846875 |
| transcript.pyannote[76].end |
335.60721875 |
| transcript.pyannote[77].speaker |
SPEAKER_00 |
| transcript.pyannote[77].start |
335.96159375 |
| transcript.pyannote[77].end |
344.01096875 |
| transcript.pyannote[78].speaker |
SPEAKER_00 |
| transcript.pyannote[78].start |
344.58471875 |
| transcript.pyannote[78].end |
347.11596875 |
| transcript.pyannote[79].speaker |
SPEAKER_00 |
| transcript.pyannote[79].start |
347.67284375 |
| transcript.pyannote[79].end |
351.31784375 |
| transcript.pyannote[80].speaker |
SPEAKER_00 |
| transcript.pyannote[80].start |
351.82409375 |
| transcript.pyannote[80].end |
352.41471875 |
| transcript.pyannote[81].speaker |
SPEAKER_00 |
| transcript.pyannote[81].start |
352.85346875 |
| transcript.pyannote[81].end |
363.70409375 |
| transcript.pyannote[82].speaker |
SPEAKER_00 |
| transcript.pyannote[82].start |
364.29471875 |
| transcript.pyannote[82].end |
366.37034375 |
| transcript.pyannote[83].speaker |
SPEAKER_00 |
| transcript.pyannote[83].start |
366.87659375 |
| transcript.pyannote[83].end |
368.56409375 |
| transcript.pyannote[84].speaker |
SPEAKER_00 |
| transcript.pyannote[84].start |
369.37409375 |
| transcript.pyannote[84].end |
384.19034375 |
| transcript.pyannote[85].speaker |
SPEAKER_00 |
| transcript.pyannote[85].start |
385.15221875 |
| transcript.pyannote[85].end |
386.82284375 |
| transcript.pyannote[86].speaker |
SPEAKER_00 |
| transcript.pyannote[86].start |
387.31221875 |
| transcript.pyannote[86].end |
389.35409375 |
| transcript.pyannote[87].speaker |
SPEAKER_00 |
| transcript.pyannote[87].start |
390.02909375 |
| transcript.pyannote[87].end |
393.64034375 |
| transcript.pyannote[88].speaker |
SPEAKER_00 |
| transcript.pyannote[88].start |
394.29846875 |
| transcript.pyannote[88].end |
394.80471875 |
| transcript.pyannote[89].speaker |
SPEAKER_00 |
| transcript.pyannote[89].start |
396.30659375 |
| transcript.pyannote[89].end |
396.82971875 |
| transcript.pyannote[90].speaker |
SPEAKER_00 |
| transcript.pyannote[90].start |
397.23471875 |
| transcript.pyannote[90].end |
398.17971875 |
| transcript.pyannote[91].speaker |
SPEAKER_00 |
| transcript.pyannote[91].start |
398.63534375 |
| transcript.pyannote[91].end |
403.22534375 |
| transcript.pyannote[92].speaker |
SPEAKER_00 |
| transcript.pyannote[92].start |
403.69784375 |
| transcript.pyannote[92].end |
410.56596875 |
| transcript.pyannote[93].speaker |
SPEAKER_00 |
| transcript.pyannote[93].start |
410.90346875 |
| transcript.pyannote[93].end |
413.60346875 |
| transcript.pyannote[94].speaker |
SPEAKER_00 |
| transcript.pyannote[94].start |
413.99159375 |
| transcript.pyannote[94].end |
420.69096875 |
| transcript.pyannote[95].speaker |
SPEAKER_00 |
| transcript.pyannote[95].start |
420.84284375 |
| transcript.pyannote[95].end |
424.63971875 |
| transcript.pyannote[96].speaker |
SPEAKER_00 |
| transcript.pyannote[96].start |
425.11221875 |
| transcript.pyannote[96].end |
428.08221875 |
| transcript.pyannote[97].speaker |
SPEAKER_00 |
| transcript.pyannote[97].start |
428.62221875 |
| transcript.pyannote[97].end |
430.24221875 |
| transcript.pyannote[98].speaker |
SPEAKER_00 |
| transcript.pyannote[98].start |
430.54596875 |
| transcript.pyannote[98].end |
445.68284375 |
| transcript.pyannote[99].speaker |
SPEAKER_01 |
| transcript.pyannote[99].start |
445.68284375 |
| transcript.pyannote[99].end |
445.86846875 |
| transcript.pyannote[100].speaker |
SPEAKER_00 |
| transcript.pyannote[100].start |
445.86846875 |
| transcript.pyannote[100].end |
445.96971875 |
| transcript.pyannote[101].speaker |
SPEAKER_01 |
| transcript.pyannote[101].start |
445.96971875 |
| transcript.pyannote[101].end |
453.63096875 |
| transcript.pyannote[102].speaker |
SPEAKER_00 |
| transcript.pyannote[102].start |
453.63096875 |
| transcript.pyannote[102].end |
478.38659375 |
| transcript.pyannote[103].speaker |
SPEAKER_01 |
| transcript.pyannote[103].start |
453.69846875 |
| transcript.pyannote[103].end |
454.33971875 |
| transcript.pyannote[104].speaker |
SPEAKER_01 |
| transcript.pyannote[104].start |
454.37346875 |
| transcript.pyannote[104].end |
454.86284375 |
| transcript.pyannote[105].speaker |
SPEAKER_01 |
| transcript.pyannote[105].start |
472.10909375 |
| transcript.pyannote[105].end |
473.56034375 |
| transcript.pyannote[106].speaker |
SPEAKER_01 |
| transcript.pyannote[106].start |
478.52159375 |
| transcript.pyannote[106].end |
478.97721875 |
| transcript.pyannote[107].speaker |
SPEAKER_00 |
| transcript.pyannote[107].start |
478.97721875 |
| transcript.pyannote[107].end |
479.17971875 |
| transcript.pyannote[108].speaker |
SPEAKER_01 |
| transcript.pyannote[108].start |
479.04471875 |
| transcript.pyannote[108].end |
482.63909375 |
| transcript.whisperx[0].start |
6.669 |
| transcript.whisperx[0].end |
14.795 |
| transcript.whisperx[0].text |
主席好 首先我們請公平會陳代理主委我們請陳主委 謝謝陳主委你早陳主委好 今天聽來聽去第一個我要請教你一個問題關於多層次的行銷 好像這個問題一直存在 |
| transcript.whisperx[1].start |
33.294 |
| transcript.whisperx[1].end |
57.915 |
| transcript.whisperx[1].text |
那多層次的行銷以前就是老鼠會一層轉過一層來賺這個差價的錢來累積這個利潤那像老鼠會一樣的話就是以前啊由美國的安利公司引進進來所以造成一段時間的一個轟動他只要再賺這個資訊差 |
| transcript.whisperx[2].start |
60.174 |
| transcript.whisperx[2].end |
74.01 |
| transcript.whisperx[2].text |
其實這個演變裡面啊你仔細看到台灣的詐騙集團所有的子資有很多都是根據多層次行銷在做事一層一層的缺乏那今天這個問題資訊時代那麼發達 |
| transcript.whisperx[3].start |
77.412 |
| transcript.whisperx[3].end |
95.026 |
| transcript.whisperx[3].text |
那我們的網路行銷或是電商已經這麼普及了所以你這個多層次的行銷我覺得人都能接受網路的行銷各方面這個不要多層次 |
| transcript.whisperx[4].start |
95.746 |
| transcript.whisperx[4].end |
120.849 |
| transcript.whisperx[4].text |
不一定要學一個美國人美國公司安利公司所帶來的因為以前我們是他們講什麼我們做什麼我認為多層次的行銷稍微改一改名次改一改定都兩層三層不然這種惡劣的風氣不時的現在一直存在考慮一下基本的原因在這個地方你看我怎麼樣 |
| transcript.whisperx[5].start |
122.311 |
| transcript.whisperx[5].end |
142.824 |
| transcript.whisperx[5].text |
現在資訊是很快的我知道 跟委員報告一下這業者要用幾成來行銷這是我想業者營業資源我真的講 該改的時候改這有時候引起了很多投資的詐騙其實這個根源都在從這邊發生了大家了解這個結果好好考慮 好好構思 好好改變 |
| transcript.whisperx[6].start |
144.048 |
| transcript.whisperx[6].end |
156.154 |
| transcript.whisperx[6].text |
我們基本上都有在監管你都有 我相信你不然你現在會留著當代理執委什麼時候要升如果提名的人選像你這樣的話我們就會直指通過了好不好再來你們只要公平教育法裡面遏止 |
| transcript.whisperx[7].start |
168.614 |
| transcript.whisperx[7].end |
189.409 |
| transcript.whisperx[7].text |
限制的競爭不公平的競爭其實高通事件我一直在講這個世界越大的公司台灣都不敢得罪什麼就好像高通現在在中國大陸被調查歐洲也跟他罰款日本也跟他罰款韓國也跟他罰款只有台灣最特別 |
| transcript.whisperx[8].start |
191.345 |
| transcript.whisperx[8].end |
211.033 |
| transcript.whisperx[8].text |
划了7億美金210億你曉得高通在台灣的對手聯化科四星沒有得到補治7億美金他說用來補償那這個案子啊已經大概在112年結束了那我們政府也沒有擔當 |
| transcript.whisperx[9].start |
213.726 |
| transcript.whisperx[9].end |
235.842 |
| transcript.whisperx[9].text |
國科會 經濟部 國科會政府說很好他帶來很大的利益美國人是很現實的是講利益的所有200多億要是給台灣幾家公司來做來研發還留在台灣你們寫出來的報告裡面到底實際的成效是怎樣國科會講好 |
| transcript.whisperx[10].start |
239.769 |
| transcript.whisperx[10].end |
255.504 |
| transcript.whisperx[10].text |
經濟部講好 我相信他們不敢講不好但是你公平委員會竟然沒有表示一件到底好不好我覺得莫名其妙所以這個地方大家不敢得罪 為什麼你們裡面有兩個 |
| transcript.whisperx[11].start |
257.423 |
| transcript.whisperx[11].end |
278.117 |
| transcript.whisperx[11].text |
那個公民教育落選的話 都是跟這個案子有關係除了李美職委 另外那個落選的跟前年 跟這個都有關係所以這歐羅博借不得這樣做 專門求台灣人你以外的人 不以這麼好好研究我一直對這個案件 我覺得非常地不滿 |
| transcript.whisperx[12].start |
279.856 |
| transcript.whisperx[12].end |
294.473 |
| transcript.whisperx[12].text |
这个世界变成大则恒大以台湾的立场什么都不敢讲美国来讲日本来讲欧洲来讲我们就乖乖的投降找他们来我希望你有肩膀一点有担当一点 |
| transcript.whisperx[13].start |
295.305 |
| transcript.whisperx[13].end |
320.419 |
| transcript.whisperx[13].text |
以後看到這樣的情形不要說有人在那個 你們不表示意見這個公平 你們的委員就當不成了你看我怎麼樣我想高通的案子我們會持續觀察如果他還要濫用市場體會的行為我跟你講 那個公司是很你去問電子業是很二把賣多少都要要求他的條件你問他獨佔的市場 |
| transcript.whisperx[14].start |
322.899 |
| transcript.whisperx[14].end |
343.751 |
| transcript.whisperx[14].text |
再来今天很多人问到关于生存式AI还有AI政策问题容然跟高通一样大则宏大他把基本的地毯盘好了但是这一些就是要靠台湾来生产的伺服器晶片才有办法造就他们的王国 |
| transcript.whisperx[15].start |
344.691 |
| transcript.whisperx[15].end |
368.331 |
| transcript.whisperx[15].text |
这里面已经发生了一个问题像马斯克对苹果跟OpenAI提告为什么他认为苹果iPhone不公平的偏袒OpenAI的那个聊天的机器人ChapGPT的时候这个已经在形成了那台湾占有重要地位我们政府在推展 |
| transcript.whisperx[16].start |
369.452 |
| transcript.whisperx[16].end |
394.624 |
| transcript.whisperx[16].text |
我們生成AI還有邊緣AI的運算我們自己也要一套把台灣的地位建立起來這幾年可能會投資幾千億在這個邊緣AI的邊緣運算跟生成的AI運算你太早來研究這個這個你制定下來不一定他們會照我們的因為這個已經很其實很明顯就是 |
| transcript.whisperx[17].start |
396.363 |
| transcript.whisperx[17].end |
413.324 |
| transcript.whisperx[17].text |
歐洲、中國大陸、美國已經開始在打拚這個市場看誰在領先債但是我覺得你關於法律的規定你們要去抓的時候多考慮台灣一點台灣現在正在要蓬勃發展 |
| transcript.whisperx[18].start |
414.105 |
| transcript.whisperx[18].end |
433.761 |
| transcript.whisperx[18].text |
而且要把生存式AI跟邊緣AI當為台灣另外一個軟體的主力在我只是說建議你好好考慮一下你丟出問題表示你很關注但是你一定要收集好不要以外國的標準來用台灣的標準 |
| transcript.whisperx[19].start |
434.361 |
| transcript.whisperx[19].end |
463.615 |
| transcript.whisperx[19].text |
我們要稍微照顧台灣怎樣標準台灣好事列在我們的法規裡面如果我們先列在前面我們就有抵擋 抵抗的效率在我想這就是為什麼我們要做公開徵詢然後收集意見以後當然在整個過程當中我們會特別關注這裡面也有我們排除你記得法令不一定在歐美我們有一個毛病因為歐美那個是最先的法令都沒有想到台灣因為未來我們自己發展的一個環境在 |
| transcript.whisperx[20].start |
464.235 |
| transcript.whisperx[20].end |
477.905 |
| transcript.whisperx[20].text |
好不好先綁在前面照顧AI一點有力的我們先列在前面不要前半被他吃掉好不好這個是立法一個非常重要的一個精神在好不好你努力加油謝謝謝謝陳聰明委員的諮詢謝謝主委 |