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Publishes | Twice weekly | Episodes | 123 | Founded | 2 years ago |
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Number of Listeners | Category | Technology |
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在EP104中的工商廣告中提到「機率很小不代表不會發生」這句話說得很對
但探討走在路上被流星 彗星 隕石 冷氣砸傷也是有機率存在的
請問哈利走上路上會隨時戴安全帽嗎
看來作者是只看paper的說書著,對於底層的硬體計算沒有研究。所謂AI耗電是相對於傳統做法來比較。舉例以前做影像處理用傳統演算法,所需的計算是經過對處理細節設計的硬體,能耗非常低。現在若用AI處理影像,在同樣效果下就需要夠大量的參數的模型來訓練。而這些模型是黑盒子,不具可解釋性,學出來的東西是不是最有效率沒人知道,只能一直亂試。帶來的就是AI用更多的算力與更大的耗電完成以前傳統方法也能完成的工作。這在AI推論加速器的設計一直是一個很頭疼的問題。連硬體總司令黃仁勳都很你說要發展AI,電力是個問題。而你確僅憑一偏語言模型的研究paper而下出這麼荒謬的結論。更何況語言模型根本沒有過去的相同技術可以對比。
關於台灣AI用電的看法,我認為是這樣:
AI的發展需要大量晶片,而目前全球絕大多數的晶片都由台灣製造。因此,如果台灣的工廠無法獲得足夠電力來維持生產,那些科技巨頭如果拿不到晶片的話 就沒辦法繼續擴張下去了
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Apple Podcasts | #143 | |
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Apple Podcasts | #125 | |
Apple Podcasts | #52 | |
Apple Podcasts | #167 |
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科技浪 Tech.wav launched 2 years ago and published 123 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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