【信用卡】我適合使用「哩程信用卡」嗎？該如何評估哩程卡是否適合自己？

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

13일 전1:14:43

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1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

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【信用卡】我適合使用「哩程信用卡」嗎？該如何評估哩程卡是否適合自己？｜寶可孟卡好S17EP55

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全球AI商機蓄勢待發，2025如何投資更有效？

野村投信ETF「台美研發大聯盟」帶您一次掌握！

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—— 以上為 Firstory Podcast 廣告 ——

2024年7月起，「國泰世華CUBE卡」即將修正回饋門檻，很多粉絲跑來問我該用哪一張卡替代CUBE卡？雖然2024年下半年的五大權益通路還沒有出爐，是否真的「改惡」仍不得而知，但應該是不變的大方向，所以我推薦喜愛累積哩程的人改用「HSBC旅人卡」。但，你真的適合用哩程卡嗎？之前我在串串(threads)看到有人分享說「網傳CUBE卡點數換哩程多好多好，結果一算之下居然要3年刷48萬才能換到亞洲區經濟艙機票，等於每個月都要刷1萬多元才能換！」看來，真的有很多人被銀行廣告、網紅KOL為了辦卡業績洗腦後，就辦卡了。建議大家應該要想想：一，你願意繳「年費」嗎？二，你有時間「研究」哩程計畫嗎？三，你的請假時間夠「彈性」嗎？四，你一年可以刷多少錢？確定都有錢、有閒、有時間可以飛，再來辦哩程卡吧！不然，還是乖乖用現金回饋卡，省下的2~3%現金回饋拿來買機票，還比較實在。本集節目，就要好好跟大家聊聊這個大哉問。
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完整文章分析：https://pokem.me/MileageCard
立即入手HSBC旅人卡：https://lihi1.com/0tjC9
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小額贊助支持本節目： https://open.firstory.me/user/ckdpsqfmxifcf0862q6efk1qa
留言告訴我你對這一集的想法： https://open.firstory.me/user/ckdpsqfmxifcf0862q6efk1qa/comments

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