非常言術 Conversations podcast

Pagina principale della serie•Feed

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…

非常言術 Conversations

Contenuto fornito da Isaac Myers and Isaac Myers 小邁. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Isaac Myers and Isaac Myers 小邁 o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

一點都不嚴肅的「非常言術」語言學習方法和理念

4 episodi

#提升充电 #Isaac Myers #Isaac Myers 小邁 #學英文 #學英語 #學語言 #語言教練 #即興表演

非常言術 Conversations

updated 3 anni fa

Pagina principale della serie•Feed

一點都不嚴肅的「非常言術」語言學習方法和理念

4 episodi

#提升充电 #Isaac Myers #Isaac Myers 小邁 #學英文 #學英語 #學語言 #語言教練 #即興表演

Tutti gli episodi

1
Alex See: Professeur de français, YouTuber, étudiant de la vie 44:33

3 years fa44:33

44:33

在本談話中我們聊到： - 你怎麼會選擇定居在台灣？ - 對你來說，中文、台語、跟潮州話的重要性是什麼？ - 學習中文的過程有如何讓你改變和成長？ - 你怎麼開始做自己的YouTube頻道？你從中學到了什麼？詳細問題列表（英文/法文）： 0:00:13 What’s your earliest language-related memory? Quelle est ton premier souvenir de la langue ? 0:03:43 What’s the significance of Teochew dialect (潮州話) for you? Que signifie pour toi le dialecte teochew ? 0:04:38 How or why did your parents immigrate to France? Comment ou pourquoi tes parents ont émigrés en France ? 0:05:45 How did you come to Taiwan originally? How did you decide to stay? Comment es-tu arrivé à Taiwan à l’origine? Comment as-tu décidér de rester ? 0:10:45 How has your perception of Taiwan changed over the time you’ve lived here? Comment ton perception de Taiwan a-t-elle changé au fil de temps que tu as vécu ici ? 0:14:57 How did you realize you liked teaching French? Comment tu as réalisé que tu aimais enseigner le français ? 0:16:48 Can you talk about your method for teaching French? Peux-tu parler de ta méthode d'enseignement du français ? 0:18:04 How do you feel when speaking Chinese? Comment tu sens-toi en parlant chinois? 0:19:17 How has the process of learning Chinese changed you? En quoi le processus d’apprentissage du chinois t’a-t-il changé? 0:24:06 How do you feel when speaking English? French? Comment tu sens-toi en parlant anglais? Et français? 0:27:06 I know you run a YouTube channel. How did that start? Je sais que tu dirige une chaîne YouTube. Comment ça a commencé? 0:31:10 Has anything unexpected happened as a result of it? Quelque chose d’inattendu s’est-il produit à la suite de cela? 0:32:45 What audience are your videos for right now? Pour quelle audience sont tes vidéos maintenant ? 0:34:28 If you could give some advice to yourself ten years ago, what would you say? Si tu peut te donner un conseil il y a dix ans, que dit-tu? 0:35:41 What’s the most important mistake you’ve made in the last three years? Quelle est l’erreur la plus importante que tu as commise au cours des trois dernières années? 0:42:29 What is your life philosophy? Quelle est ta philosophie de la vie? Alex的聯絡方式： Alex See的YouTube頻道： https://www.youtube.com/alexsee03 用Italki跟Alex預約法文課： https://www.italki.com/teacher/5975279 直接聯絡（IG）：alexfromitalki…

1
Alex See 採訪 Isaac 小邁: 跟隨自己的直覺生活，學習中文最長的路 34:11

4 years fa34:11

34:11

Alex See的YouTube頻道： https://www.youtube.com/channel/UC3iBaaaoYTgkkOnkO2tXZeA 這個對話原本PO在Alex的頻道： https://www.youtube.com/watch?v=FIp2B7A2hWk

1
Erin Clark: 我是一顆蛋，我是演員 58:46

4 years fa58:46

58:46

台北邁斯納工作坊： http://meisner.tw/ 邁斯納演戲法（英文）： https://en.wikipedia.org/wiki/Meisner_technique

1
Andrei Veja：台灣也是我家 37:00

4 years fa37:00