Podcasts about Taipei

Our next guest is John Wang, the author of Big Asian Energy, a leadership coach, and cultural voice with over 240,000 followers and 25 million views. Born in Taipei and raised in North America, John brings bold insights on authenticity, identity, and confidence. In this episode, we explore cultural dynamics, including navigating relationships and personality differences, balancing individualism with collectivism, finding purpose, and transcending self-doubt into actual presence.⭐INSTAGRAM: https://www.instagram.com/johnwangofficial/⭐WEBSITE: https://www.bigasianenergy.com/

Long before 1988, Taiwan's beauty pageants had been mired in rumors — winners accused of marrying into political dynasties, whispers of contests doubling as “wife buffets” for the elite, and government crackdowns on such events being too frivolous in austere times. Even beauty standards themselves were contested as Western pageants favored tall frames and bold features, while traditional Chinese ideals prized delicacy, modesty, and the “melon-seed face.” By the time Miss Universe came to Taipei, the stage was set for both spectacle and controversy.Yet for Taiwan's government, the payoff was irresistible. Hosting Miss Universe meant sixteen minutes of global airtime to present the Republic of China's culture, heritage, and landmarks from Taroko Gorge to Yehliu's Queen's Head. For a country fighting for recognition, this beauty show was also showtime for “Free China.”Do us a favor: Rate, review, follow, sub, etc... it really helps!

This week Hannah and Bev are chuffed by the stuff that reminds them of their culture. Hannah's chuffed by Long Story Short, Netflix's time-jumping animated series about the Jewish-American Schwooper family, and Bev's chuffed by Left-Handed Girl, a feature about a woman and her two daughters making a living in a Taipei night market, from Taiwanese-American director Shih-Ching Tsou, co-written and edited by Sean Baker. Tell us what's got you chuffed: write to stopeverything@abc.net.au

Naomi Okubo's work explores delicate and often uneasy relationships between individuals, society, and the spaces that shape them. Drawing on her personal experiences, particularly her complex relationship with her mother, she examines how guise, decoration, and inherited roles—especially restrictive notions of “femininity”—affect human interactions. In her early work, Okubo depicted women without faces as a symbol of the pressures to conform in Japanese society. Over time, these faceless figures have come to function more broadly as a mirror, allowing viewers to project themselves and reflecting both individual experiences and societal dynamics. In recent years, she has also been exploring the motif of the “greenhouse/home,” a confined yet seemingly nurturing space that resonates with her upbringing and contemporary life, highlighting how environments can both protect and constrain. Her works involve a complex, multi-layered process, where materials and techniques accumulate to convey the depth and contradictions of lived experience. Okubo earned her MFA from Musashino Art University in 2011 and lived in New York from 2017–2019 with grants from the Agency for Cultural Affairs of Japan and the Yoshino Gypsum Foundation. She has exhibited widely in Asia, Europe, and the U.S., including Fou Gallery, New York (2024/25); GALLERY MoMo, Tokyo (2023); ELSA ART GALLERY, Taipei (2022); and Yoshino Gypsum Art Foundation, Tokyo (2022). She served as a residency artist at mh PROJECT, New York (2019); Residency Unlimited, New York (2017); and Art Department of Halland Municipality, Sweden (2014). Her work has been featured by Airbnb Magazine, ZEIT-magazine, Contemporary Art Curator Magazine, Financial Times, Juxtapoz Magazine, The New Yorker, Vanity Fair, and a PBS documentary. Bird Collector, 2025, Acrylic on raw canvas, 57 × 44 in. Canary Cave, 2025, Acrylic on raw canvas, 38.2 × 51.3 in. Dancing in the Flames, 2025, Acrylic on raw canvas, 28 × 12.4 in.

Jenn speaks to Taiwanese Pilates instructor, Rebecca Lin founder of ATMAN WELLNESS in Taipei. In this episode we deep dive into Rebecca's journey thus far from the lost of her late father at the age of 10, exploring herself and her talents from her school days to her postgraduate career as a journalist to hear suicidal thoughts and how a near death experiencing scuba diving in Palau at the age of 24 forever changed her perspective on life. She shares with us how she rediscovered herself, healing her relationship with her own mom and why she chose to start a fitness studio with her husband. (Recorded on July 15, 2025)About Rebecca LinRebecca ,20年的健身產業教學工作資歷，目前是教室主理人、一位母親、一位太太、一位陪伴學生、家人和自己的提燈者與擺渡人，期許自己能夠在生命旅程當中，保持善良、慈悲和體驗生命的流。Episode Resources:IG 一個瑜伽行者的自傳瑜伽真的有用嗎?愛的業力法當下的力量: 通往靈性開悟的指引當和尚遇到鑽石近乎佛教徒 (第4版)

« Dans mon Chinatown », c'est une série d'été de RFI qui vous emmène dans les quartiers chinois des grandes villes du monde sur tous les continents. On s'arrête aujourd'hui en Afrique du Sud, pays qui compte la plus importante communauté chinoise du continent. Les premiers migrants sont arrivés dès le XVIIᵉ siècle, envoyés au Cap par les autorités coloniales en tant que prisonniers ou esclaves. Après plusieurs vagues de migration, on estime aujourd'hui que cette communauté compte entre 250 000 et 350 000 personnes. À Johannesburg, deux Chinatown distincts retracent leur histoire.  De notre correspondante à Johannesburg, Sur la rue Commissioner, le magasin Sui Hing Hong est une institution. Malgré le déclin et la dégradation du vieux centre-ville, il continue vaillamment à rappeler à tous que se trouvait ici, le premier Chinatown de Johannesburg. C'est la mère de Gloria Pon qui a ouvert cette boutique dans les années 1940. « Elle disait qu'elle voulait établir un endroit où il y aurait tous les produits chinois dont on avait besoin : nos médicaments, notre nourriture, des bols et des baguettes », se souvient sa fille. La communauté chinoise sud-africaine est le fruit de vagues successives de migration. À Johannesburg, des travailleurs sous contrats ont été envoyés dès la création de la ville, suite à la découverte d'or à la fin du XIXᵉ siècle. Mais la majorité de ces mineurs sont ensuite rentrés au pays. Ceux arrivés plus tard, pour faire fortune, de la région de Canton par exemple – comme la famille de Gloria Pon –, ont été interdits de licence minière en raison de leur couleur de peau et se sont tournés vers le commerce. Ils ont alors développé tout un petit écosystème au niveau de cette rue. Le frère de Gloria, Walter, est surnommé le « maire » de Chinatown, en raison de sa passion pour l'histoire de la communauté. « Voici un autre bâtiment très ancien, des années 1900. C'est la propriété du club chinois. En ces temps-là, lorsque les Chinois arrivaient en Afrique du Sud, ils n'avaient pas de famille. Donc ils étaient accueillis ici, jusqu'à ce qu'ils trouvent un travail. Et lorsqu'ils mourraient, qui les enterraient ? Le club », explique-t-il. L'octogénaire se souvient notamment de la vie sous apartheid et des discriminations subies : « Quand on voulait s'asseoir dans un train, il fallait aller dans la zone réservée aux Noirs, une zone qui était sale, détériorée. La zone des Blancs était toute propre, mais on ne pouvait pas y accéder. » À lire aussiAfrique du Sud: l'August House, la grande colocation d'artistes en plein centre de Johannesburg Aujourd'hui, ne reste que quelques restaurants, témoins de cette histoire, ainsi que la boutique de feux d'artifices tenue par un autre frère de la famille Pon. Il faut se rendre à une poignée de kilomètres de là, dans l'ancienne banlieue juive de Cyrildene, pour découvrir le deuxième Chinatown de Johannesburg. Ce sont d'autres flux de migration qui lui ont donné naissance : d'abord des Taïwanais, encouragés à venir dans les années 1980 par le gouvernement de l'apartheid qui entretenait des liens avec Taipei. Puis, il y a eu de nouvelles arrivées du centre de la Chine, lorsque la démocratie sud-africaine s'est rapprochée de Pékin. Evonne Chen, 22 ans, est serveuse dans un petit café situé au pied de l'immense arche colorée qui marque l'entrée du quartier. Dans sa famille, elle est la première génération née sur place : « Je travaille à mi-temps ici, car j'étudie également les ressources humaines. Ce sont mes grands-parents qui sont venus ici, vers 1992-1993. Nous n'avons pas l'intention de rentrer, puisque ici, c'est un très beau pays. Moi, je parle taïwanais et mandarin, car mes grands-parents ne parlent pas anglais. » Nous retrouvons à l'extérieur Ufrieda Ho, qui a beaucoup écrit sur le sujet, et notamment sur sa propre famille. Ces lieux sont finalement, pour elle, à l'image de la communauté : divers et composites. « Ce n'est pas un groupe homogène, il y a beaucoup de nuances et de différents contextes. Je pense que c'est pour ça que ces deux Chinatown sont distincts : cela raconte les différentes formes de migrations et leur interaction avec la politique sud-africaine de l'époque », explique-t-elle. Malgré de forts liens entre Pékin et Pretoria, deux membres des Brics, les conditions économiques ont rendu l'Afrique du Sud moins attractive, ces dernières années, pour les nouveaux migrants chinois.

« Dans mon Chinatown », c'est une série d'été de RFI qui vous emmène dans les quartiers chinois des grandes villes du monde sur tous les continents. On s'arrête aujourd'hui en Afrique du Sud, pays qui compte la plus importante communauté chinoise du continent. Les premiers migrants sont arrivés dès le XVIIᵉ siècle, envoyés au Cap par les autorités coloniales en tant que prisonniers ou esclaves. Après plusieurs vagues de migration, on estime aujourd'hui que cette communauté compte entre 250 000 et 350 000 personnes. À Johannesburg, deux Chinatown distincts retracent leur histoire.  De notre correspondante à Johannesburg, Sur la rue Commissioner, le magasin Sui Hing Hong est une institution. Malgré le déclin et la dégradation du vieux centre-ville, il continue vaillamment à rappeler à tous que se trouvait ici, le premier Chinatown de Johannesburg. C'est la mère de Gloria Pon qui a ouvert cette boutique dans les années 1940. « Elle disait qu'elle voulait établir un endroit où il y aurait tous les produits chinois dont on avait besoin : nos médicaments, notre nourriture, des bols et des baguettes », se souvient sa fille. La communauté chinoise sud-africaine est le fruit de vagues successives de migration. À Johannesburg, des travailleurs sous contrats ont été envoyés dès la création de la ville, suite à la découverte d'or à la fin du XIXᵉ siècle. Mais la majorité de ces mineurs sont ensuite rentrés au pays. Ceux arrivés plus tard, pour faire fortune, de la région de Canton par exemple – comme la famille de Gloria Pon –, ont été interdits de licence minière en raison de leur couleur de peau et se sont tournés vers le commerce. Ils ont alors développé tout un petit écosystème au niveau de cette rue. Le frère de Gloria, Walter, est surnommé le « maire » de Chinatown, en raison de sa passion pour l'histoire de la communauté. « Voici un autre bâtiment très ancien, des années 1900. C'est la propriété du club chinois. En ces temps-là, lorsque les Chinois arrivaient en Afrique du Sud, ils n'avaient pas de famille. Donc ils étaient accueillis ici, jusqu'à ce qu'ils trouvent un travail. Et lorsqu'ils mourraient, qui les enterraient ? Le club », explique-t-il. L'octogénaire se souvient notamment de la vie sous apartheid et des discriminations subies : « Quand on voulait s'asseoir dans un train, il fallait aller dans la zone réservée aux Noirs, une zone qui était sale, détériorée. La zone des Blancs était toute propre, mais on ne pouvait pas y accéder. » À lire aussiAfrique du Sud: l'August House, la grande colocation d'artistes en plein centre de Johannesburg Aujourd'hui, ne reste que quelques restaurants, témoins de cette histoire, ainsi que la boutique de feux d'artifices tenue par un autre frère de la famille Pon. Il faut se rendre à une poignée de kilomètres de là, dans l'ancienne banlieue juive de Cyrildene, pour découvrir le deuxième Chinatown de Johannesburg. Ce sont d'autres flux de migration qui lui ont donné naissance : d'abord des Taïwanais, encouragés à venir dans les années 1980 par le gouvernement de l'apartheid qui entretenait des liens avec Taipei. Puis, il y a eu de nouvelles arrivées du centre de la Chine, lorsque la démocratie sud-africaine s'est rapprochée de Pékin. Evonne Chen, 22 ans, est serveuse dans un petit café situé au pied de l'immense arche colorée qui marque l'entrée du quartier. Dans sa famille, elle est la première génération née sur place : « Je travaille à mi-temps ici, car j'étudie également les ressources humaines. Ce sont mes grands-parents qui sont venus ici, vers 1992-1993. Nous n'avons pas l'intention de rentrer, puisque ici, c'est un très beau pays. Moi, je parle taïwanais et mandarin, car mes grands-parents ne parlent pas anglais. » Nous retrouvons à l'extérieur Ufrieda Ho, qui a beaucoup écrit sur le sujet, et notamment sur sa propre famille. Ces lieux sont finalement, pour elle, à l'image de la communauté : divers et composites. « Ce n'est pas un groupe homogène, il y a beaucoup de nuances et de différents contextes. Je pense que c'est pour ça que ces deux Chinatown sont distincts : cela raconte les différentes formes de migrations et leur interaction avec la politique sud-africaine de l'époque », explique-t-elle. Malgré de forts liens entre Pékin et Pretoria, deux membres des Brics, les conditions économiques ont rendu l'Afrique du Sud moins attractive, ces dernières années, pour les nouveaux migrants chinois.

Simple Simon met a pieman, Going to the fair; Says simple Simon to the pieman, Let me taste your ware. Says the pieman to simple Simon, Show me first your penny; Says simple Simon to the pieman, Indeed, I have not any. 單純的賽門遇到一個賣派的人，正要往市集去；單純的賽門跟賣派的人說， 讓我嘗嘗你要賣的東西吧！賣派的人跟單純的賽門說；讓我先看看你有沒有錢吧； 單純的賽門對賣派的人說，是哦，我是一分錢也沒有呢。 補充： Simple: 簡單的/單純的 fair: (a.) 公平的 It's not fair. / (n.)市集，博覽會 ware : 商品/貨物 first: 先/ show me first 先給我看 ---- 雙語廣播營成果發表 (8月2日第二組) Let's Learn About National Education Radio (Scene: A school classroom. The teacher is talking with the students.) Teacher: When was the last time you listened to the radio? Student 1: I listened in the car! Student 2: I listened before bed! Student 3: I don't remember… Teacher: That's okay! Today, we will learn about a special radio station. It is called National Education Radio — or NER. Student 1: Where is it? Teacher: It is in Nanhai Park (南海園區). Many people go there to walk and exercise. Student 2: What does the building look like? Teacher: The NER building looks like an old Chinese palace. It has red columns and a green roof. It is a very beautiful place in Taipei. Student 3: When did it start? Teacher: NER started in 1960. It is part of the MOE (教育部) — the Ministry of Education. Student 1: Why was it made? Teacher: At first, it helped students and teachers. Now, it does more things! Student 2: Like what? Teacher: NER shares news about culture and education. It answers questions. It gives good ideas and helps people learn. Student 3: Does it have fun programs? Teacher: Yes! It has many great programs. They also won the Golden Bell Awards. (金鐘獎) Student 1: Wow! That's cool! Teacher: There is also a fun place called the Sound Story Studio (聲音故事館). Student 2: What can we do there? Teacher: You can see old photos, play games, and make your own recording! All Students: Wow! Can we go visit? Teacher: Yes! Come and join us in the world of sound! --------------------------------------- 介紹國立教育廣播電台 （場景：學校教室。老師正在和學生交談。） 老師：你上次聽廣播是什麼時候？ 學生1：我在車上聽的！ 學生2：我睡前聽的！ 學生3：我不記得了… 老師：沒關係！今天，我們將了解一個特殊的廣播電台。它被稱為國立教育廣播電台——或NER。 學生1：它在哪裡？ 老師：在南海園區。許多人去那裡散步和運動。 學生2：這棟建築物是什麼樣子的？ 老師：NER大樓看起來就像一座古老的中國宮殿。它有紅色的柱子和綠色的屋頂。這是台北一個非常美麗的地方。 學生3：什麼時候開始的？ 老師：NER 始於 1960 年。它是教育部 (MOE) 的一部分。 學生 1：為什麼有教育電台呢？ 老師：首先，它對學生和老師都有幫助。現在，它可以做更多的事情！ 學生 2：比如什麼？ 老師：NER分享有關文化和教育的新聞。它回答師生的問題。它提供了好的點子並幫助人們學習。 學生3：有好玩的節目嗎？ 老師：是的！它有很多很棒的節目而且也獲得了金鐘獎喔！ 學生 1：哇！這很酷！ 師：還有一個好玩的地方，叫聲音故事館。 學生2：我們可以在那裡做什麼？ 老師：你可以看舊照片，玩遊戲，還可以錄下自己的錄音！ 全體學生：哇！我們可以去參觀嗎？ 老師：當然可以！快來加入我們聲音的世界 ------ #每周一進階英語瘋英語 #每周六雙語麻吉同學會 #每周日英語童謠童話小森林 #想要無廣告收聽更多節目請點選教育電台雙語頻道 #每周一、六、日更新 ----- Apple｜Spotify｜Google｜KKBOX｜Firstory｜SoundOn 搜尋訂閱：NER Kids -----

正聲廣播2025 Podcast YeAr播客年會優質聲音節目競賽開跑！ 生活風格、SDGs永續以及正聲創意業配獎3大類，特優2萬、優勝1萬、佳作5千，即日起開放報名！ 活動詳情： https://sofm.pse.is/83fdnu －－－－以上為 SoundOn 動態廣告－－－－ 蕭彤雯 主持 生活同樂會

Hallo Freunde freue mich sehr euch heute eine neue Episode meiner Indie Dance The Mix Series präsentieren zu können... Diesmal mit BB Deng DJ / Producer und label owner von @ego-riot aus Berlin. Viel Spaß Kurt Kjergaard Hello friends, I'm very happy to present you a new episode of my Indie Dance The Mix series today... This time with BB Deng, DJ/Producer and label owner of @ego-riot from Berlin. Enjoy, Kurt Kjergaard BIO BB Deng is a Berlin-based Taiwanese DJ, producer, and Ego Riot label owner. She started in Taipei's rock and club scene before moving to Beijing, where she opened a club, co-founded INTRO Festival, and became resident at Lantern. With 20+ releases on international labels, she has toured 16 countries. Since relocating to Berlin in 2018, BB has become a fixture in the city's techno and goth scenes, known for fusing Industrial, Hard/Dark Techno, and EBM into cinematic sets, while also blending House and New Beat. A Novation ambassador featured by BBC, FAZEmag, and Flux FM, she has played Burning Man, ADE, Fusion, Tresor, KitKat Club, and more. In 2025, she returns for her third year at Rave The Planet. Ego Riot Music https://soundcloud.com/ego-riot LINKS SOUNDCLOUD https://soundcloud.com/djbbdeng INSTAGRAM https://www.instagram.com/bb.deng.music/ FACEBOOK https://www.facebook.com/DjBbDeng/ BANDCAMP https://egoriotberlin.bandcamp.com/ RESIDENTADVISOR https://de.ra.co/dj/bbdeng-tw LINKTREE https://linktr.ee/bb.deng Tracklist (1) Let Go (David Vunk Remix) - Charlie (2) Where Is Your Heart (Extended Mix) - Kevin McKay, Brian Smith - (3) Body To Body - Sincopat (4) Game Over (Undo Insert Coin Remix) - Mundo D (5) Misterio en la Disco - Cosmosolar (6) Acid Monday - Save the Robot (7) Don't Call Dr Nick (Original Mix) - That Needs An Edit (8) King of Egypt (Rework) - RFX (9) Keep it Strong - Patricio Diaz (10) Le Gouffre (Yan Wagner Belgian Trip Club Edit) - Bagarre (11) Houseman (Stockholm Syndrome AU Revamp) - Voyou (12) ROCK TO THE BEAT (U.S REMIX) -Renegade (13) Vicious On The Phone - Why Not James (14) Plaza [Nick Berlin New Beat Mix] - Mytron (15) Dance To The Nu New Beat (RFX Rework) (16) I Feel Love (Club Mix) - Kevin Mckay ft. Start the party (17) Moustache (Original Mix) - Local Suicide & Skelesys (18) El Forastero (Alen Skanner Remix) - Marinelli Disclaimer: All material on this channel is posted with the explicit consent of the artist/labels and no copyrights are violated in any way. If you are a copyright owner and want your work to be removed from our channel please contact us with a personal message here and we will remove your material right away. Please note that we do not benefit from posting this material and have only the intention to help new and emerging artist to be heard by supporting & promoting podcasts. Thx a lot... Kurt Kjergaard

We talk Premier Cho Jung-tai vowing to improve communications, a reversal of opposition against a cash handout, the return of the Taipei rainbow crosswalk and more. -- Hosting provided by SoundOn

“People at home always ask, ‘When are you moving back?' But honestly, I'm not sure I could.” – Krista BernardIf you grew up in a small town—or in Krista's case, a village with 500 people including cows—you'll know the feeling of leaving and never quite seeing it the same again.Adrie Lopez Mackay (yep, my amazing wife) takes over the mic to speak with our good friend Krista Bernard, who traded dairy farms and long Canadian winters for the chaos and charm of Saigon.It's her birthday, she's relaxed, and she's open about it all—from living in Hanoi and blowing out her ACL shortly after moving to Saigon, to discovering the freedom, diversity, and weird quirks of life in Vietnam's biggest city.I loved this episode—not just because Adrie nailed her first time as guest host—but because Krista's story is so familiar to many of us living here. She's honest, reflective, and quietly hilarious.Key Talking Points:From rural Canada to Saigon – Krista's background and what made her move abroad.Cultural contrasts – How small-town life compares to the diversity and pace of a mega city.Overcoming setbacks – Her ACL injury and how it shaped her first year in Saigon.City life discoveries – Food, activities, and travel opportunities in Saigon.Lessons from Taipei – Cleanliness, infrastructure, and what Saigon could learn.Chapters & Timestamps:[00:00] Introduction & Host Debut – Adrie takes over hosting duties and introduces Krista Bernard.[02:10] Growing Up in Rural Canada – Life in a 500-person village and dairy farming roots.[05:15] Choosing Life Abroad – Why Krista left Canada and how friends and family reacted.[07:40] The Move to Saigon & ACL Setback – Injury, recovery, and the struggle to settle in.[12:05] Discovering Saigon – Food variety, activities, and becoming more mobile.[15:20] Taipei vs. Saigon – First impressions of Taipei and what Saigon could learn.[18:45] City Changes & Reflections – Saigon's growth, Western comforts, and life lessons.Whether you've lived abroad or just dreamed about it, this episode is a reminder of what you gain when you leave—and what you leave behind.

How do we live radiantly when the world seems bent on our erasure?Today we meet Caro De Robertis and we're talking about the queer book that saved their life: Notes of a Crocodile by Qiu Miaojin, translated by Bonnie Huie.Caro's books best-selling books have Stonewall Book Awards and the Golden Poppy Octavia E. Butler Award; and, they have been finalists for the PEN/Faulkner Award, Lambda Literary Award, and the Kirkus Prize. These books include The Palace of Eros, The President and the Frog, Cantoras, The Gods of Tango, and Perla. Caro was the first openly nonbinary person to received the John Dos Passos Prize for Literature. A professor at San Francisco State University, Caro is co-curating Conjuring Power: the Roots & Futures of Queer & Trans Movements, for San Francisco's Yerba Buena Center for the Arts. It will open Spring 2026. Their newest book is So Many Stars: An Oral History of Trans, Nonbinary, Genderqueer, and Two-Spirit People of Color.Set in the post-martial-law era of late-1980s Taipei, Notes of a Crocodile is a coming-of-age story of queer misfits discovering love, friendship, and artistic affinity while hardly studying at Taiwan's most prestigious university. Told through the eyes of an anonymous lesbian narrator nicknamed Lazi, this cult classic is a postmodern pastiche of diaries, vignettes, mash notes, aphorisms, exegesis, and satire by an incisive prose stylist and major countercultural figure.Connect with Carowebsite: caroderobertis.cominstagram: @caro_derobertisOur BookshopVisit our Bookshop for new releases, current bestsellers, banned books, critically acclaimed LGBTQ books, or peruse the books featured on our podcasts: bookshop.org/shop/thisqueerbookBuy Notes of a Crocodile: https://bookshop.org/a/82376/9781681370767Buy So Many Stars: An Oral History of Trans, Nonbinary, Genderqueer, and Two-Spirit People of Color: https://bookshop.org/a/82376/9781643756875Become an Associate Producer!Become an Associate Producer of our podcast through a $20/month sponsorship on Patreon! A professionally recognized credit, you can gain access to Associate Producer meetings to help guide our podcast into the future! Get started today: patreon.com/thisqueerbookCreditsHost/Founder: John ParkerExecutive Producer: Jim PoundsAssociate Producers: Archie Arnold, K Jason Bryan and David Rephan, Bob Bush, Natalie Cruz, Jonathan Fried, Paul Kaefer, Joe Perazzo, Bill Shay, and Sean SmithPatreon Subscribers: Stephen D., Terry D., Stephen Flamm, Ida Göteburg, Thomas Michna, Sofia Nerman, and Gary Nygaard.Creative and Accounting support provided by: Gordy EricksonQuatrefoil LibraryQuatrefoil has created a curated lending library made up of the books featured on our podcast! If you can't buy these books, then borrow them! Link: https://libbyapp.com/library/quatrefoil/curated-1404336/page-1We're in Iceland for PRIDE, so we're taking this week off! We'll be back with a new episode on August 12th with guest Caro De Robertis talking about the queer book that saved their life: Notes of a Crocodile by Qiu Miaojin, translated by Bonnie Huie.Support the show

Summer rewind: Greg Lindsay is an urban tech expert and a Senior Fellow at MIT. He's also a two-time Jeopardy champion and the only human to go undefeated against IBM's Watson. Greg joins thinkenergy to talk about how artificial intelligence (AI) is reshaping how we manage, consume, and produce energy—from personal devices to provincial grids, its rapid growth to the rising energy demand from AI itself. Listen in to learn how AI impacts our energy systems and what it means individually and industry-wide. Related links: ●       Greg Lindsay website: https://greglindsay.org/ ●       Greg Lindsay on LinkedIn: https://www.linkedin.com/in/greg-lindsay-8b16952/ ●       International Energy Agency (IEA): https://www.iea.org/ ●       Trevor Freeman on LinkedIn: https://www.linkedin.com/in/trevor-freeman-p-eng-cem-leed-ap-8b612114/ ●       Hydro Ottawa: https://hydroottawa.com/en    To subscribe using Apple Podcasts: https://podcasts.apple.com/us/podcast/thinkenergy/id1465129405   To subscribe using Spotify: https://open.spotify.com/show/7wFz7rdR8Gq3f2WOafjxpl   To subscribe on Libsyn: http://thinkenergy.libsyn.com/ --- Subscribe so you don't miss a video: https://www.youtube.com/user/hydroottawalimited   Follow along on Instagram: https://www.instagram.com/hydroottawa   Stay in the know on Facebook: https://www.facebook.com/HydroOttawa   Keep up with the posts on X: https://twitter.com/thinkenergypod --- Transcript: Trevor Freeman  00:00 Hi everyone. Well, summer is here, and the think energy team is stepping back a bit to recharge and plan out some content for the next season. We hope all of you get some much needed downtime as well, but we aren't planning on leaving you hanging over the next few months, we will be re releasing some of our favorite episodes from the past year that we think really highlight innovation, sustainability and community. These episodes highlight the changing nature of how we use and manage energy, and the investments needed to expand, modernize and strengthen our grid in response to that. All of this driven by people and our changing needs and relationship to energy as we move forward into a cleaner, more electrified future, the energy transition, as we talk about many times on this show. Thanks so much for listening, and we'll be back with all new content in September. Until then, happy listening.   Trevor Freeman  00:55 Welcome to think energy, a podcast that dives into the fast changing world of energy through conversations with industry leaders, innovators and people on the front lines of the energy transition. Join me, Trevor Freeman, as I explore the traditional, unconventional and up and coming facets of the energy industry. If you have any thoughts feedback or ideas for topics we should cover, please reach out to us at think energy at hydro ottawa.com, Hi everyone. Welcome back. Artificial intelligence, or AI, is a term that you're likely seeing and hearing everywhere today, and with good reason, the effectiveness and efficiency of today's AI, along with the ever increasing applications and use cases mean that in just the past few years, AI went from being a little bit fringe, maybe a little bit theoretical to very real and likely touching everyone's day to day lives in ways that we don't even notice, and we're just at the beginning of what looks to be a wave of many different ways that AI will shape and influence our society and our lives in the years to come. And the world of energy is no different. AI has the potential to change how we manage energy at all levels, from our individual devices and homes and businesses all the way up to our grids at the local, provincial and even national and international levels. At the same time, AI is also a massive consumer of energy, and the proliferation of AI data centers is putting pressure on utilities for more and more power at an unprecedented pace. But before we dive into all that, I also think it will be helpful to define what AI is. After all, the term isn't new. Like me, many of our listeners may have grown up hearing about Skynet from Terminator, or how from 2001 A Space Odyssey, but those malignant, almost sentient versions of AI aren't really what we're talking about here today. And to help shed some light on both what AI is as well as what it can do and how it might influence the world of energy, my guest today is Greg Lindsay, to put it in technical jargon, Greg's bio is super neat, so I do want to take time to run through it properly. Greg is a non resident Senior Fellow of MIT's future urban collectives lab Arizona State University's threat casting lab and the Atlantic Council's Scowcroft center for strategy and security. Most recently, he was a 2022-2023 urban tech Fellow at Cornell Tech's Jacobs Institute, where he explored the implications of AI and augmented reality at an urban scale. Previously, he was an urbanist in resident, which is a pretty cool title, at BMW minis urban tech accelerator, urban X, as well as the director of Applied Research at Montreal's new cities and Founding Director of Strategy at its mobility focused offshoot, co motion. He's advised such firms as Intel, Samsung, Audi, Hyundai, IKEA and Starbucks, along with numerous government entities such as 10 Downing Street, us, Department of Energy and NATO. And finally, and maybe coolest of all, Greg is also a two time Jeopardy champion and the only human to go undefeated against IBM's Watson. So on that note, Greg Lindsey, welcome to the show.   Greg Lindsay  04:14 Great to be here. Thanks for having me. Trevor,   Trevor Freeman  04:16 So Greg, we're here to talk about AI and the impacts that AI is going to have on energy, but AI is a bit of one of those buzzwords that we hear out there in a number of different spheres today. So let's start by setting the stage of what exactly we're talking about. So what do we mean when we say AI or artificial intelligence?   Speaker 1  04:37 Well, I'd say the first thing to keep in mind is that it is neither artificial nor intelligence. It's actually composites of many human hands making it. And of course, it's not truly intelligent either. I think there's at least two definitions for the layman's purposes. One is statistical machine learning. You know that is the previous generation of AI, we could say, doing deep, deep statistical analysis, looking for patterns fitting to. Patterns doing prediction. There's a great book, actually, by some ut professors at monk called prediction machines, which that was a great way of thinking about machine learning and sense of being able to do large scale prediction at scale. And that's how I imagine hydro, Ottawa and others are using this to model out network efficiencies and predictive maintenance and all these great uses. And then the newer, trendier version, of course, is large language models, your quads, your chat gpts, your others, which are based on transformer models, which is a whole series of work that many Canadians worked on, including Geoffrey Hinton and others. And this is what has produced the seemingly magical abilities to produce text and images on demand and large scale analysis. And that is the real power hungry beast that we think of as AI today.   Trevor Freeman  05:42 Right! So different types of AI. I just want to pick those apart a little bit. When you say machine learning, it's kind of being able to repetitively look at something or a set of data over and over and over again. And because it's a computer, it can do it, you know, 1000s or millions of times a second, and learn what, learn how to make decisions based on that. Is that fair to say?   Greg Lindsay  06:06 That's fair to say. And the thing about that is, is like you can train it on an output that you already know, large language models are just vomiting up large parts of pattern recognition, which, again, can feel like magic because of our own human brains doing it. But yeah, machine learning, you can, you know, you can train it to achieve outcomes. You can overfit the models where it like it's trained too much in the past, but, yeah, it's a large scale probabilistic prediction of things, which makes it so powerful for certain uses.   Trevor Freeman  06:26 Yeah, one of the neatest explanations or examples I've seen is, you know, you've got these language models where it seems like this AI, whether it's chat, DBT or whatever, is writing really well, like, you know, it's improving our writing. It's making things sound better. And it seems like it's got a brain behind it, but really, what it's doing is it's going out there saying, What have millions or billions of other people written like this? And how can I take the best things of that? And it can just do that really quickly, and it's learned that that model, so that's super helpful to understand what we're talking about here. So obviously, in your work, you look at the impact of AI on a number of different aspects of our world, our society. What we're talking about here today is particularly the impact of AI when it comes to energy. And I'd like to kind of bucketize our conversation a little bit today, and the first area I want to look at is, what will ai do when it comes to energy for the average Canadian? Let's say so in my home, in my business, how I move around? So I'll start with that. It's kind of a high level conversation. Let's start talking about the different ways that AI will impact you know that our average listener here?   Speaker 1  07:41 Um, yeah, I mean, we can get into a discussion about what it means for the average Canadian, and then also, of course, what it means for Canada in the world as well, because I just got back from South by Southwest in Austin, and, you know, for the second, third year in row, AI was on everyone's lips. But really it's the energy. Is the is the bottleneck. It's the forcing factor. Everyone talked about it, the fact that all the data centers we can get into that are going to be built in the direction of energy. So, so, yeah, energy holds the key to the puzzle there. But, um, you know, from the average gain standpoint, I mean, it's a question of, like, how will these tools actually play out, you know, inside of the companies that are using this, right? And that was a whole other discussion too. It's like, okay, we've been playing around with these tools for two, three years now, what do they actually use to deliver value of your large language model? So I've been saying this for 10 years. If you look at the older stuff you could start with, like smart thermostats, even look at the potential savings of this, of basically using machine learning to optimize, you know, grid optimize patterns of usage, understanding, you know, the ebbs and flows of the grid, and being able to, you know, basically send instructions back and forth. So you know there's stats. You know that, basically you know that you know you could save 10 to 25% of electricity bills. You know, based on this, you could reduce your heating bills by 10 to 15% again, it's basically using this at very large scales of the scale of hydro Ottawa, bigger, to understand this sort of pattern usage. But even then, like understanding like how weather forecasts change, and pulling that data back in to basically make fine tuning adjustments to the thermostats and things like that. So that's one stands out. And then, you know, we can think about longer term. I mean, yeah, lots have been lots has been done on imagining, like electric mobility, of course, huge in Canada, and what that's done to sort of change the overall energy mix virtual power plants. This is something that I've studied, and we've been writing about at Fast Company. At Fast Company beyond for 20 years, imagining not just, you know, the ability to basically, you know, feed renewable electricity back into the grid from people's solar or from whatever sources they have there, but the ability of utilities to basically go in and fine tune, to have that sort of demand shaping as well. And then I think the most interesting stuff, at least in demos, and also blockchain, which has had many theoretical uses, and I've got to see a real one. But one of the best theoretical ones was being able to create neighborhood scale utilities. Basically my cul de sac could have one, and we could trade clean electrons off of our solar panels through our batteries and home scale batteries, using Blockchain to basically balance this out. Yeah, so there's lots of potential, but yeah, it comes back to the notion of people want cheaper utility bills. I did this piece 10 years ago for the Atlantic Council on this we looked at a multi country survey, and the only reason anybody wanted a smart home, which they just were completely skeptical about, was to get those cheaper utility bills. So people pay for that.   Trevor Freeman  10:19 I think it's an important thing to remember, obviously, especially for like the nerds like me, who part of my driver is, I like that cool new tech. I like that thing that I can play with and see my data. But for most people, no matter what we're talking about here, when it comes to that next technology, the goal is make my life a little bit easier, give me more time or whatever, and make things cheaper. And I think especially in the energy space, people aren't putting solar panels on their roof because it looks great. And, yeah, maybe people do think it looks great, but they're putting it up there because they want cheaper electricity. And it's going to be the same when it comes to batteries. You know, there's that add on of resiliency and reliability, but at the end of the day, yeah, I want my bill to be cheaper. And what I'm hearing from you is some of the things we've already seen, like smart thermostats get better as AI gets better. Is that fair to say?   Greg Lindsay  11:12 Well, yeah, on the machine learning side, that you know, you get ever larger data points. This is why data is the coin of the realm. This is why there's a race to collect data on everything. Is why every business model is data collection and everything. Because, yes, not only can they get better, but of course, you know, you compile enough and eventually start finding statistical inferences you never meant to look for. And this is why I've been involved. Just as a side note, for example, of cities that have tried to implement their own data collection of electric scooters and eventually electric vehicles so they could understand these kinds of patterns, it's really the key to anything. And so it's that efficiency throughput which raises some really interesting philosophical questions, particularly about AI like, this is the whole discussion on deep seek. Like, if you make the models more efficient, do you have a Jevons paradox, which is the paradox of, like, the more energy you save through efficiency, the more you consume because you've made it cheaper. So what does this mean that you know that Canadian energy consumption is likely to go up the cleaner and cheaper the electrons get. It's one of those bedeviling sort of functions.   Trevor Freeman  12:06 Yeah interesting. That's definitely an interesting way of looking at it. And you referenced this earlier, and I will talk about this. But at the macro level, the amount of energy needed for these, you know, AI data centers in order to do all this stuff is, you know, we're seeing that explode.   Greg Lindsay  12:22 Yeah, I don't know that. Canadian statistics my fingertips, but I brought this up at Fast Company, like, you know, the IEA, I think International Energy Agency, you know, reported a 4.3% growth in the global electricity grid last year, and it's gonna be 4% this year. That does not sound like much. That is the equivalent of Japan. We're adding in Japan every year to the grid for at least the next two to three years. Wow. And that, you know, that's global South, air conditioning and other needs here too, but that the data centers on top is like the tip of the spear. It's changed all this consumption behavior, where now we're seeing mothballed coal plants and new plants and Three Mile Island come back online, as this race for locking up electrons, for, you know, the race to build God basically, the number of people in AI who think they're literally going to build weekly godlike intelligences, they'll, they won't stop at any expense. And so they will buy as much energy as they can get.   Trevor Freeman  13:09 Yeah, well, we'll get to that kind of grid side of things in a minute. Let's stay at the home first. So when I look at my house, we talked about smart thermostats. We're seeing more and more automation when it comes to our homes. You know, we can program our lights and our door locks and all this kind of stuff. What does ai do in order to make sure that stuff is contributing to efficiency? So I want to do all those fun things, but use the least amount of energy possible.   Greg Lindsay  13:38 Well, you know, I mean, there's, again, there's various metrics there to basically, sort of, you know, program your lights. And, you know, Nest is, you know, Google. Nest is an example of this one, too, in terms of basically learning your ebb and flow and then figuring out how to optimize it over the course of the day. So you can do that, you know, we've seen, again, like the home level. We've seen not only the growth in solar panels, but also in those sort of home battery integration. I was looking up that Tesla Powerwall was doing just great in Canada, until the last couple of months. I assume so, but I it's been, it's been heartening to see that, yeah, this sort of embrace of home energy integration, and so being able to level out, like, peak flow off the grid, so Right? Like being able to basically, at moments of peak demand, to basically draw on your own local resources and reduce that overall strain. So there's been interesting stuff there. But I want to focus for a moment on, like, terms of thinking about new uses. Because, you know, again, going back to how AI will influence the home and automation. You know, Jensen Wong of Nvidia has talked about how this will be the year of robotics. Google, Gemini just applied their models to robotics. There's startups like figure there's, again, Tesla with their optimists, and, yeah, there's a whole strain of thought that we're about to see, like home robotics, perhaps a dream from like, the 50s. I think this is a very Disney World esque Epcot Center, yeah, with this idea of jetsy, yeah, of having home robots doing work. You can see concept videos a figure like doing the actual vacuuming. I mean, we invented Roombas to this, but, but it also, I, you know, I've done a lot of work. Our own thinking around electric delivery vehicles. We could talk a lot about drones. We could talk a lot about the little robots that deliver meals on the sidewalk. There's a lot of money in business models about increasing access and people needing to maybe move less, to drive and do all these trips to bring it to them. And that's a form of home automation, and that's all batteries. That is all stuff off the grid too. So AI is that enable those things, these things that can think and move and fly and do stuff and do services on your behalf, and so people might find this huge new source of demand from that as well.   Trevor Freeman  15:29 Yeah, that's I hadn't really thought about the idea that all the all these sort of conveniences and being able to summon them to our homes cause us to move around less, which also impacts transportation, which is another area I kind of want to get to. And I know you've, you've talked a little bit about E mobility, so where do you see that going? And then, how does AI accelerate that transition, or accelerate things happening in that space?   Greg Lindsay  15:56 Yeah, I mean, I again, obviously the EV revolutions here Canada like, one of the epicenters Canada, Norway there, you know, that still has the vehicle rebates and things. So, yeah. I mean, we've seen, I'm here in Montreal, I think we've got, like, you know, 30 to 13% of sales is there, and we've got our 2035, mandate. So, yeah. I mean, you see this push, obviously, to harness all of Canada's clean, mostly hydro electricity, to do this, and, you know, reduce its dependence on fossil fuels for either, you know, Climate Change Politics reasons, but also just, you know, variable energy prices. So all of that matters. But, you know, I think the key to, like the electric mobility revolution, again, is, is how it's going to merge with AI and it's, you know, it's not going to just be the autonomous, self driving car, which is sort of like the horseless carriage of autonomy. It's gonna be all this other stuff, you know. My friend Dan Hill was in China, and he was thinking about like, electric scooters, you know. And I mentioned this to hydro Ottawa, like, the electric scooter is one of the leading causes of how we've taken internal combustion engine vehicles offline across the world, mostly in China, and put people on clean electric motors. What happens when you take those and you make those autonomous, and you do it with, like, deep seek and some cameras, and you sort of weld it all together so you could have a world of a lot more stuff in motion, and not just this world where we have to drive as much. And that, to me, is really exciting, because that changes, like urban patterns, development patterns, changes how you move around life, those kinds of things as well. That's that might be a little farther out, but, but, yeah, this sort of like this big push to build out domestic battery industries, to build charging points and the sort of infrastructure there, I think it's going to go in direction, but it doesn't look anything like, you know, a sedan or an SUV that just happens to be electric.   Trevor Freeman  17:33 I think that's a the step change is change the drive train of the existing vehicles we have, you know, an internal combustion to a battery. The exponential change is exactly what you're saying. It's rethinking this.   Greg Lindsay  17:47 Yeah, Ramesam and others have pointed out, I mean, again, like this, you know, it's, it's really funny to see this pushback on EVs, you know. I mean, I love a good, good roar of an internal combustion engine myself, but, but like, you know, Ramesam was an energy analyst, has pointed out that, like, you know, EVS were more cost competitive with ice cars in 2018 that's like, nearly a decade ago. And yeah, the efficiency of electric motors, particularly regenerative braking and everything, it just blows the cost curves away of ice though they will become the equivalent of keeping a thorough brat around your house kind of thing. Yeah, so, so yeah, it's just, it's that overall efficiency of the drive train. And that's the to me, the interesting thing about both electric motors, again, of autonomy is like, those are general purpose technologies. They get cheaper and smaller as they evolve under Moore's Law and other various laws, and so they get to apply to more and more stuff.   Trevor Freeman  18:32 Yeah. And then when you think about once, we kind of figure that out, and we're kind of already there, or close to it, if not already there, then it's opening the door to those other things you're talking about. Of, well, do we, does everybody need to have that car in their driveway? Are we rethinking how we're actually just doing transportation in general? And do we need a delivery truck? Or can it be delivery scooter? Or what does that look like?   Greg Lindsay  18:54 Well, we had a lot of those discussions for a long time, particularly in the mobility space, right? Like, and like ride hailing, you know, like, oh, you know, that was always the big pitch of an Uber is, you know, your car's parked in your driveway, like 94% of the time. You know, what happens if you're able to have no mobility? Well, we've had 15 years of Uber and these kinds of services, and we still have as many cars. But people are also taking this for mobility. It's additive. And I raised this question, this notion of like, it's just sort of more and more, more options, more availability, more access. Because the same thing seems to be going on with energy now too. You know, listeners been following along, like the conversation in Houston, you know, a week or two ago at Sarah week, like it's the whole notion of energy realism. And, you know, there's the new book out, more is more is more, which is all about the fact that we've never had an energy transition. We just kept piling up. Like the world burned more biomass last year than it did in 1900 it burned more coal last year than it did at the peak of coal. Like these ages don't really end. They just become this sort of strata as we keep piling energy up on top of it. And you know, I'm trying to sound the alarm that we won't have an energy transition. What that means for climate change? But similar thing, it's. This rebound effect, the Jevons paradox, named after Robert Stanley Jevons in his book The question of coal, where he noted the fact that, like, England was going to need more and more coal. So it's a sobering thought. But, like, I mean, you know, it's a glass half full, half empty in many ways, because the half full is like increasing technological options, increasing changes in lifestyle. You can live various ways you want, but, but, yeah, it's like, I don't know if any of it ever really goes away. We just get more and more stuff,   Trevor Freeman  20:22 Exactly, well. And, you know, to hear you talk about the robotics side of things, you know, looking at the home, yeah, more, definitely more. Okay, so we talked about kind of home automation. We've talked about transportation, how we get around. What about energy management? And I think about this at the we'll talk about the utility side again in a little bit. But, you know, at my house, or for my own personal use in my life, what is the role of, like, sort of machine learning and AI, when it comes to just helping me manage my own energy better and make better decisions when it comes to energy? ,   Greg Lindsay  20:57 Yeah, I mean, this is where it like comes in again. And you know, I'm less and less of an expert here, but I've been following this sort of discourse evolve. And right? It's the idea of, you know, yeah, create, create. This the set of tools in your home, whether it's solar panels or batteries or, you know, or Two Way Direct, bi directional to the grid, however it works. And, yeah, and people, you know, given this option of savings, and perhaps, you know, other marketing messages there to curtail behavior. You know? I mean, I think the short answer the question is, like, it's an app people want, an app that tell them basically how to increase the efficiency of their house or how to do this. And I should note that like, this has like been the this is the long term insight when it comes to like energy and the clean tech revolution. Like my Emery Levin says this great line, which I've always loved, which is, people don't want energy. They want hot showers and cold beer. And, you know, how do you, how do you deliver those things through any combination of sticks and carrots, basically like that. So, So, hence, why? Like, again, like, you know, you know, power walls, you know, and, and, and, you know, other sort of AI controlled batteries here that basically just sort of smooth out to create the sort of optimal flow of electrons into your house, whether that's coming drive directly off the grid or whether it's coming out of your backup and then recharging that the time, you know, I mean, the surveys show, like, more than half of Canadians are interested in this stuff, you know, they don't really know. I've got one set here, like, yeah, 61% are interested in home energy tech, but only 27 understand, 27% understand how to optimize them. So, yeah. So people need, I think, perhaps, more help in handing that over. And obviously, what's exciting for the, you know, the utility level is, like, you know, again, aggregate all that individual behavior together and you get more models that, hope you sort of model this out, you know, at both greater scale and ever more fine grained granularity there. So, yeah, exactly. So I think it's really interesting, you know, I don't know, like, you know, people have gamified it. What was it? I think I saw, like, what is it? The affordability fund trust tried to basically gamify AI energy apps, and it created various savings there. But a lot of this is gonna be like, as a combination like UX design and incentives design and offering this to people too, about, like, why you should want this and money's one reason, but maybe there's others.   Trevor Freeman  22:56 Yeah, and we talk about in kind of the utility sphere, we talk about how customers, they don't want all the data, and then have to go make their own decisions. They want those decisions to be made for them, and they want to say, look, I want to have you tell me the best rate plan to be on. I want to have you automatically switch me to the best rate plan when my consumption patterns change and my behavior chat patterns change. That doesn't exist today, but sort of that fast decision making that AI brings will let that become a reality sometime in the future,   Greg Lindsay  23:29 And also in theory, this is where LLMs come into play. Is like, you know, to me, what excites me the most about that is the first time, like having a true natural language interface, like having being able to converse with an, you know, an AI, let's hopefully not chat bot. I think we're moving out on chat bots, but some sort of sort of instantiation of an AI to be like, what plan should I be on? Can you tell me what my behavior is here and actually having some sort of real language conversation with it? Not decision trees, not event statements, not chat bots.   Trevor Freeman  23:54 Yeah, absolutely. Okay, so we've kind of teased around this idea of looking at the utility levels, obviously, at hydro Ottawa, you referenced this just a minute ago. We look at all these individual cases, every home that has home automation or solar storage, and we want to aggregate that and understand what, what can we do to help manage the grid, help manage all these new energy needs, shift things around. So let's talk a little bit about the role that AI can play at the utility scale in helping us manage the grid.   Greg Lindsay  24:28 All right? Well, yeah, there's couple ways to approach it. So one, of course, is like, let's go back to, like, smart meters, right? Like, and this is where I don't know how many hydro Ottawa has, but I think, like, BC Hydro has like, 2 million of them, sometimes they get politicized, because, again, this gets back to this question of, like, just, just how much nanny state you want. But, you know, you know, when you reach the millions, like, yeah, you're able to get that sort of, you know, obviously real time, real time usage, real time understanding. And again, if you can do that sort of grid management piece where you can then push back, it's visual game changer. But, but yeah. I mean, you know, yeah, be. See hydro is pulling in. I think I read like, like, basically 200 million data points a day. So that's a lot to train various models on. And, you know, I don't know exactly the kind of savings they have, but you can imagine there, whether it's, you know, them, or Toronto Hydro, or hydro Ottawa and others creating all these monitoring points. And again, this is the thing that bedells me, by the way, just philosophically about modern life, the notion of like, but I don't want you to be collecting data off me at all times, but look at what you can do if you do It's that constant push pull of some sort of combination of privacy and agency, and then just the notion of like statistics, but, but there you are, but, but, yeah, but at the grid level, then I mean, like, yeah. I mean, you can sort of do the same thing where, like, you know, I mean, predictive maintenance is the obvious one, right? I have been writing about this for large enterprise software companies for 20 years, about building these data points, modeling out the lifetime of various important pieces equipment, making sure you replace them before you have downtime and terrible things happen. I mean, as we're as we're discussing this, look at poor Heathrow Airport. I am so glad I'm not flying today, electrical substation blowing out two days of the world's most important hub offline. So that's where predictive maintenance comes in from there. And, yeah, I mean, I, you know, I again, you know, modeling out, you know, energy flow to prevent grid outages, whether that's, you know, the ice storm here in Quebec a couple years ago. What was that? April 23 I think it was, yeah, coming up in two years. Or our last ice storm, we're not the big one, but that one, you know, where we had big downtime across the grid, like basically monitoring that and then I think the other big one for AI is like, Yeah, is this, this notion of having some sort of decision support as well, too, and sense of, you know, providing scenarios and modeling out at scale the potential of it? And I don't think, I don't know about this in a grid case, but the most interesting piece I wrote for Fast Company 20 years ago was an example, ago was an example of this, which was a fledgling air taxi startup, but they were combining an agent based model, so using primitive AI to create simple rules for individual agents and build a model of how they would behave, which you can create much more complex models. Now we could talk about agents and then marrying that to this kind of predictive maintenance and operations piece, and marrying the two together. And at that point, you could have a company that didn't exist, but that could basically model itself in real time every day in the life of what it is. You can create millions and millions and millions of Monte Carlo operations. And I think that's where perhaps both sides of AI come together truly like the large language models and agents, and then the predictive machine learning. And you could basically hydro or others, could build this sort of deep time machine where you can model out all of these scenarios, millions and millions of years worth, to understand how it flows and contingencies as well. And that's where it sort of comes up. So basically something happens. And like, not only do you have a set of plans, you have an AI that has done a million sets of these plans, and can imagine potential next steps of this, or where to deploy resources. And I think in general, that's like the most powerful use of this, going back to prediction machines and just being able to really model time in a way that we've never had that capability before. And so you probably imagine the use is better than I.   Trevor Freeman  27:58 Oh man, it's super fascinating, and it's timely. We've gone through the last little while at hydro Ottawa, an exercise of updating our playbook for emergencies. So when there are outages, what kind of outage? What's the sort of, what are the trigger points to go from, you know, what we call a level one to a level two to level three. But all of this is sort of like people hours that are going into that, and we're thinking through these scenarios, and we've got a handful of them, and you're just kind of making me think, well, yeah, what if we were able to model that out? And you bring up this concept of agents, let's tease into that a little bit explain what you mean when you're talking about agents.   Greg Lindsay  28:36 Yeah, so agentic systems, as the term of art is, AI instantiations that have some level of autonomy. And the archetypal example of this is the Stanford Smallville experiment, where they took basically a dozen large language models and they gave it an architecture where they could give it a little bit of backstory, ruminate on it, basically reflect, think, decide, and then act. And in this case, they used it to plan a Valentine's Day party. So they played out real time, and the LLM agents, like, even played matchmaker. They organized the party, they sent out invitations, they did these sorts of things. Was very cute. They put it out open source, and like, three weeks later, another team of researchers basically put them to work writing software programs. So you can see they organized their own workflow. They made their own decisions. There was a CTO. They fact check their own work. And this is evolving into this grand vision of, like, 1000s, millions of agents, just like, just like you spin up today an instance of Amazon Web Services to, like, host something in the cloud. You're going to spin up an agent Nvidia has talked about doing with healthcare and others. So again, coming back to like, the energy implications of that, because it changes the whole pattern. Instead of huge training runs requiring giant data centers. You know, it's these agents who are making all these calls and doing more stuff at the edge, but, um, but yeah, in this case, it's the notion of, you know, what can you put the agents to work doing? And I bring this up again, back to, like, predictive maintenance, or for hydro Ottawa, there's another amazing paper called virtual in real life. And I chatted with one of the principal authors. It created. A half dozen agents who could play tour guide, who could direct you to a coffee shop, who do these sorts of things, but they weren't doing it in a virtual world. They were doing it in the real one. And to do it in the real world, you took the agent, you gave them a machine vision capability, so added that model so they could recognize objects, and then you set them loose inside a digital twin of the world, in this case, something very simple, Google Street View. And so in the paper, they could go into like New York Central Park, and they could count every park bench and every waste bin and do it in seconds and be 99% accurate. And so agents were monitoring the landscape. Everything's up, because you can imagine this in the real world too, that we're going to have all the time. AIS roaming the world, roaming these virtual maps, these digital twins that we build for them and constantly refresh from them, from camera data, from sensor data, from other stuff, and tell us what this is. And again, to me, it's really exciting, because that's finally like an operating system for the internet of things that makes sense, that's not so hardwired that you can ask agents, can you go out and look for this for me? Can you report back on this vital system for me? And they will be able to hook into all of these kinds of representations of real time data where they're emerging from, and give you aggregated reports on this one. And so, you know, I think we have more visibility in real time into the real world than we've ever had before.   Trevor Freeman  31:13 Yeah, I want to, I want to connect a few dots here for our listeners. So bear with me for a second. Greg. So for our listeners, there was a podcast episode we did about a year ago on our grid modernization roadmap, and we talked about one of the things we're doing with grid modernization at hydro Ottawa and utilities everywhere doing this is increasing the sensor data from our grid. So we're, you know, right now, we've got visibility sort of to our station level, sometimes one level down to some switches. But in the future, we'll have sensors everywhere on our grid, every switch, every device on our grid, will have a sensor gathering data. Obviously, you know, like you said earlier, millions and hundreds of millions of data points every second coming in. No human can kind of make decisions on that, and what you're describing is, so now we've got all this data points, we've got a network of information out there, and you could create this agent to say, Okay, you are. You're my transformer agent. Go out there and have a look at the run temperature of every transformer on the network, and tell me where the anomalies are, which ones are running a half a degree or two degrees warmer than they should be, and report back. And now I know hydro Ottawa, that the controller, the person sitting in the room, knows, Hey, we should probably go roll a truck and check on that transformer, because maybe it's getting end of life. Maybe it's about to go and you can do that across the entire grid. That's really fascinating,   Greg Lindsay  32:41 And it's really powerful, because, I mean, again, these conversations 20 years ago at IoT, you know you're going to have statistical triggers, and you would aggregate these data coming off this, and there was a lot of discussion there, but it was still very, like hardwired, and still very Yeah, I mean, I mean very probabilistic, I guess, for a word that went with agents like, yeah, you've now created an actual thing that can watch those numbers and they can aggregate from other systems. I mean, lots, lots of potential there hasn't quite been realized, but it's really exciting stuff. And this is, of course, where that whole direction of the industry is flowing. It's on everyone's lips, agents.   Trevor Freeman  33:12 Yeah. Another term you mentioned just a little bit ago that I want you to explain is a digital twin. So tell us what a digital twin is.   Greg Lindsay  33:20 So a digital twin is, well, the matrix. Perhaps you could say something like this for listeners of a certain age, but the digital twin is the idea of creating a model of a piece of equipment, of a city, of the world, of a system. And it is, importantly, it's physics based. It's ideally meant to represent and capture the real time performance of the physical object it's based on, and in this digital representation, when something happens in the physical incarnation of it, it triggers a corresponding change in state in the digital twin, and then vice versa. In theory, you know, you could have feedback loops, again, a lot of IoT stuff here, if you make changes virtually, you know, perhaps it would cause a change in behavior of the system or equipment, and the scales can change from, you know, factory equipment. Siemens, for example, does a lot of digital twin work on this. You know, SAP, big, big software companies have thought about this. But the really crazy stuff is, like, what Nvidia is proposing. So first they started with a digital twin. They very modestly called earth two, where they were going to model all the weather and climate systems of the planet down to like the block level. There's a great demo of like Jensen Wong walking you through a hurricane, typhoons striking the Taipei, 101, and how, how the wind currents are affecting the various buildings there, and how they would change that more recently, what Nvidia is doing now is, but they just at their big tech investor day, they just partner with General Motors and others to basically do autonomous cars. And what's crucial about it, they're going to train all those autonomous vehicles in an NVIDIA built digital twin in a matrix that will act, that will be populated by agents that will act like people, people ish, and they will be able to run millions of years of autonomous vehicle training in this and this is how they plan to catch up to. Waymo or, you know, if Tesla's robotaxis are ever real kind of thing, you know, Waymo built hardwired like trained on real world streets, and that's why they can only operate in certain operating domain environments. Nvidia is gambling that with large language models and transformer models combined with digital twins, you can do these huge leapfrog effects where you can basically train all sorts of synthetic agents in real world behavior that you have modeled inside the machine. So again, that's the kind, that's exactly the kind of, you know, environment that you're going to train, you know, your your grid of the future on for modeling out all your contingency scenarios.   Trevor Freeman  35:31 Yeah, again, you know, for to bring this to the to our context, a couple of years ago, we had our the direcco. It's a big, massive windstorm that was one of the most damaging storms that we've had in Ottawa's history, and we've made some improvements since then, and we've actually had some great performance since then. Imagine if we could model that derecho hitting our grid from a couple different directions and figure out, well, which lines are more vulnerable to wind speeds, which lines are more vulnerable to flying debris and trees, and then go address that and do something with that, without having to wait for that storm to hit. You know, once in a decade or longer, the other use case that we've talked about on this one is just modeling what's happening underground. So, you know, in an urban environments like Ottawa, like Montreal, where you are, there's tons of infrastructure under the ground, sewer pipes, water pipes, gas lines, electrical lines, and every time the city wants to go and dig up a road and replace that road, replace that sewer, they have to know what's underground. We want to know what's underground there, because our infrastructure is under there. As the electric utility. Imagine if you had a model where you can it's not just a map. You can actually see what's happening underground and determine what makes sense to go where, and model out these different scenarios of if we underground this line or that line there. So lots of interesting things when it comes to a digital twin. The digital twin and Agent combination is really interesting as well, and setting those agents loose on a model that they can play with and understand and learn from. So talk a little bit about.   Greg Lindsay  37:11 that. Yeah. Well, there's a couple interesting implications just the underground, you know, equipment there. One is interesting because in addition to, like, you know, you know, having captured that data through mapping and other stuff there, and having agents that could talk about it. So, you know, next you can imagine, you know, I've done some work with augmented reality XR. This is sort of what we're seeing again, you know, meta Orion has shown off their concept. Google's brought back Android XR. Meta Ray Bans are kind of an example of this. But that's where this data will come from, right? It's gonna be people wearing these wearables in the world, capturing all this camera data and others that's gonna be fed into these digital twins to refresh them. Meta has a particularly scary demo where you know where you the user, the wearer leaves their keys on their coffee table and asks metas, AI, where their coffee where their keys are, and it knows where they are. It tells them and goes back and shows them some data about it. I'm like, well, to do that, meta has to have a complete have a complete real time map of your entire house. What could go wrong. And that's what all these companies aspire to of reality. So, but yeah, you can imagine, you know, you can imagine a worker. And I've worked with a startup out of urban X, a Canada startup, Canadian startup called context steer. And you know, is the idea of having real time instructions and knowledge manuals available to workers, particularly predictive maintenance workers and line workers. So you can imagine a technician dispatched to deal with this cut in the pavement and being able to see with XR and overlay of like, what's actually under there from the digital twin, having an AI basically interface with what's sort of the work order, and basically be your assistant that can help you walk you through it, in case, you know, you run into some sort of complication there, hopefully that won't be, you know, become like, turn, turn by turn, directions for life that gets into, like, some of the questions about what we wanted out of our workforce. But there's some really interesting combinations of those things, of like, you know, yeah, mapping a world for AIS, ais that can understand it, that could ask questions in it, that can go probe it, that can give you advice on what to do in it. All those things are very close for good and for bad.   Trevor Freeman  39:03 You kind of touched on my next question here is, how do we make sure this is all in the for good or mostly in the for good category, and not the for bad category you talk in one of the papers that you wrote about, you know, AI and augmented reality in particular, really expanding the attack surface for malicious actors. So we're creating more opportunities for whatever the case may be, if it's hacking or if it's malware, or if it's just, you know, people that are up to nefarious things. How do we protect against that? How do we make sure that our systems are safe that the users of our system. So in our case, our customers, their data is safe, their the grid is safe. How do we make sure that?   Greg Lindsay  39:49 Well, the very short version is, whatever we're spending on cybersecurity, we're not spending enough. And honestly, like everybody who is no longer learning to code, because we can be a quad or ChatGPT to do it, I. Is probably there should be a whole campaign to repurpose a big chunk of tech workers into cybersecurity, into locking down these systems, into training ethical systems. There's a lot of work to be done there. But yeah, that's been the theme for you know that I've seen for 10 years. So that paper I mentioned about sort of smart homes, the Internet of Things, and why people would want a smart home? Well, yeah, the reason people were skeptical is because they saw it as basically a giant attack vector. My favorite saying about this is, is, there's a famous Arthur C Clarke quote that you know, any sufficiently advanced technology is magic Tobias Ravel, who works at Arup now does their head of foresight has this great line, any sufficiently advanced hacking will feel like a haunting meaning. If you're in a smart home that's been hacked, it will feel like you're living in a haunted house. Lights will flicker on and off, and systems will turn and go haywire. It'll be like you're living with a possessed house. And that's true of cities or any other systems. So we need to do a lot of work on just sort of like locking that down and securing that data, and that is, you know, we identified, then it has to go all the way up and down the supply chain, like you have to make sure that there is, you know, a chain of custody going back to when components are made, because a lot of the attacks on nest, for example. I mean, you want to take over a Google nest, take it off the wall and screw the back out of it, which is a good thing. It's not that many people are prying open our thermostats, but yeah, if you can get your hands on it, you can do a lot of these systems, and you can do it earlier in the supply chain and sorts of infected pieces and things. So there's a lot to be done there. And then, yeah, and then, yeah, and then there's just a question of, you know, making sure that the AIs are ethically trained and reinforced. And, you know, a few people want to listeners, want to scare themselves. You can go out and read some of the stuff leaking out of anthropic and others and make clot of, you know, models that are trying to hide their own alignments and trying to, like, basically copy themselves. Again, I don't believe that anything things are alive or intelligent, but they exhibit these behaviors as part of the probabilistic that's kind of scary. So there's a lot to be done there. But yeah, we worked on this, the group that I do foresight with Arizona State University threat casting lab. We've done some work for the Secret Service and for NATO and, yeah, there'll be, you know, large scale hackings on infrastructure. Basically the equivalent can be the equivalent can be the equivalent to a weapons of mass destruction attack. We saw how Russia targeted in 2014 the Ukrainian grid and hacked their nuclear plans. This is essential infrastructure more important than ever, giving global geopolitics say the least, so that needs to be under consideration. And I don't know, did I scare you enough yet? What are the things we've talked through here that, say the least about, you know, people being, you know, tricked and incepted by their AI girlfriends, boyfriends. You know people who are trying to AI companions. I can't possibly imagine what could go wrong there.   Trevor Freeman  42:29 I mean, it's just like, you know, I don't know if this is 15 or 20, or maybe even 25 years ago now, like, it requires a whole new level of understanding when we went from a completely analog world to a digital world and living online, and people, I would hope, to some degree, learned to be skeptical of things on the internet and learned that this is that next level. We now need to learn the right way of interacting with this stuff. And as you mentioned, building the sort of ethical code and ethical guidelines into these language models into the AI. Learning is pretty critical for our listeners. We do have a podcast episode on cybersecurity. I encourage you to go listen to it and reassure yourself that, yes, we are thinking about this stuff. And thanks, Greg, you've given us lots more to think about in that area as well. When it comes to again, looking back at utilities and managing the grid, one thing we're going to see, and we've talked a lot about this on the show, is a lot more distributed generation. So we're, you know, the days of just the central, large scale generation, long transmission lines that being the only generation on the grid. Those days are ending. We're going to see more distributed generations, solar panels on roofs, batteries. How does AI help a utility manage those better, interact with those better get more value out of those things?   Greg Lindsay  43:51 I guess that's sort of like an extension of some of the trends I was talking about earlier, which is the notion of, like, being able to model complex systems. I mean, that's effectively it, right, like you've got an increasingly complex grid with complex interplays between it, you know, figuring out how to basically based on real world performance, based on what you're able to determine about where there are correlations and codependencies in the grid, where point where choke points could emerge, where overloading could happen, and then, yeah, basically, sort of building that predictive system to Basically, sort of look for what kind of complex emergent behavior comes out of as you keep adding to it and and, you know, not just, you know, based on, you know, real world behavior, but being able to dial that up to 11, so to speak, and sort of imagine sort of these scenarios, or imagine, you know, what, what sort of long term scenarios look like in terms of, like, what the mix, how the mix changes, how the geography changes, all those sorts of things. So, yeah, I don't know how that plays out in the short term there, but it's this combination, like I'm imagining, you know, all these different components playing SimCity for real, if one will.   Trevor Freeman  44:50 And being able to do it millions and millions and millions of times in a row, to learn every possible iteration and every possible thing that might happen. Very cool. Okay. So last kind of area I want to touch on you did mention this at the beginning is the the overall power implications of of AI, of these massive data centers, obviously, at the utility, that's something we are all too keenly aware of. You know, the stat that that I find really interesting is a normal Google Search compared to, let's call it a chat GPT search. That chat GPT search, or decision making, requires 10 times the amount of energy as that just normal, you know, Google Search looking out from a database. Do you see this trend? I don't know if it's a trend. Do you see this continuing like AI is just going to use more power to do its decision making, or will we start to see more efficiencies there? And the data centers will get better at doing what they do with less energy. What is the what does the future look like in that sector?   Greg Lindsay  45:55 All the above. It's more, is more, is more! Is the trend, as far as I can see, and every decision maker who's involved in it. And again, Jensen Wong brought this up at the big Nvidia Conference. That basically he sees the only constraint on this continuing is availability of energy supplies keep it going and South by Southwest. And in some other conversations I've had with bandwidth companies, telcos, like laying 20 lumen technologies, United States is laying 20,000 new miles of fiber optic cables. They've bought 10% of Corning's total fiber optic output for the next couple of years. And their customers are the hyperscalers. They're, they're and they're rewiring the grid. That's why, I think it's interesting. This has something, of course, for thinking about utilities, is, you know, the point to point Internet of packet switching and like laying down these big fiber routes, which is why all the big data centers United States, the majority of them, are in north of them are in Northern Virginia, is because it goes back to the network hub there. Well, lumen is now wiring this like basically this giant fabric, this patchwork, which can connect data center to data center, and AI to AI and cloud to cloud, and creating this entirely new environment of how they are all directly connected to each other through some of this dedicated fiber. And so you can see how this whole pattern is changing. And you know, the same people are telling me that, like, yeah, the where they're going to build this fiber, which they wouldn't tell me exactly where, because it's very tradable, proprietary information, but, um, but it's following the energy supplies. It's following the energy corridors to the American Southwest, where there's solar and wind in Texas, where you can get natural gas, where you can get all these things. It will follow there. And I of course, assume the same is true in Canada as we build out our own sovereign data center capacity for this. So even, like deep seek, for example, you know, which is, of course, the hyper efficient Chinese model that spooked the markets back in January. Like, what do you mean? We don't need a trillion dollars in capex? Well, everyone's quite confident, including again, Jensen Wong and everybody else that, yeah, the more efficient models will increase this usage. That Jevons paradox will play out once again, and we'll see ever more of it. To me, the question is, is like as how it changes? And of course, you know, you know, this is a bubble. Let's, let's, let's be clear, data centers are a bubble, just like railroads in 1840 were a bubble. And there will be a bust, like not everyone's investments will pencil out that infrastructure will remain maybe it'll get cheaper. We find new uses for it, but it will, it will eventually bust at some point and that's what, to me, is interesting about like deep seeking, more efficient models. Is who's going to make the wrong investments in the wrong places at the wrong time? But you know, we will see as it gathers force and agents, as I mentioned. You know, they don't require, as much, you know, these monstrous training runs at City sized data centers. You know, meta wanted to spend $200 billion on a single complex, the open AI, Microsoft, Stargate, $500 billion Oracle's. Larry Ellison said that $100 billion is table stakes, which is just crazy to think about. And, you know, he's permitting three nukes on site. So there you go. I mean, it'll be fascinating to see if we have a new generation of private, private generation, right, like, which is like harkening all the way back to, you know, the early electrical grid and companies creating their own power plants on site, kind of stuff. Nicholas Carr wrote a good book about that one, about how we could see from the early electrical grid how the cloud played out. They played out very similarly. The AI cloud seems to be playing out a bit differently. So, so, yeah, I imagine that as well, but, but, yeah, well, inference happen at the edge. We need to have more distributed generation, because you're gonna have AI agents that are going to be spending more time at the point of request, whether that's a laptop or your phone or a light post or your autonomous vehicle, and it's going to need more of that generation and charging at the edge. That, to me, is the really interesting question. Like, you know, when these current generation models hit their limits, and just like with Moore's law, like, you know, you have to figure out other efficiencies in designing chips or designing AIS, how will that change the relationship to the grid? And I don't think anyone knows quite for sure yet, which is why they're just racing to lock up as many long term contracts as they possibly can just get it all, core to the market.   Trevor Freeman  49:39 Yeah, it's just another example, something that comes up in a lot of different topics that we cover on this show. Everything, obviously, is always related to the energy transition. But the idea that the energy transition is really it's not just changing fuel sources, like we talked about earlier. It's not just going from internal combustion to a battery. It's rethinking the. Relationship with energy, and it's rethinking how we do things. And, yeah, you bring up, like, more private, massive generation to deal with these things. So really, that whole relationship with energy is on scale to change. Greg, this has been a really interesting conversation. I really appreciate it. Lots to pack into this short bit of time here. We always kind of wrap up our conversations with a series of questions to our guests. So I'm going to fire those at you here. And this first one, I'm sure you've got lots of different examples here, so feel free to give more than one. What is a book that you've read that you think everybody should read?   Greg Lindsay  50:35 The first one that comes to mind is actually William Gibson's Neuromancer, which is which gave the world the notion of cyberspace and so many concepts. But I think about it a lot today. William Gibson, Vancouver based author, about how much in that book is something really think about. There is a digital twin in it, an agent called the Dixie flatline. It's like a former program where they cloned a digital twin of him. I've actually met an engineering company, Thornton Thomas Eddie that built a digital twin of one of their former top experts. So like that became real. Of course, the matrix is becoming real the Turing police. Yeah, there's a whole thing in there where there's cops to make sure that AIS don't get smarter. I've been thinking a lot about, do we need Turing police? The EU will probably create them. And so that's something where you know the proof, again, of like science fiction, its ability in world building to really make you think about these implications and help for contingency planning. A lot of foresight experts I work with think about sci fi, and we use sci fi for exactly that reason. So go read some classic cyberpunk, everybody.   Trevor Freeman  51:32 Awesome. So same question. But what's a movie or a show that you think everybody should take a look at?   Greg Lindsay  51:38 I recently watched the watch the matrix with ideas, which is fun to think about, where the villains are, agents that villains are agents. That's funny how that terms come back around. But the other one was thinking about the New Yorker recently read a piece on global demographics and the fact that, you know, globally, less and less children. And it made several references to Alfonso Quons, Children of Men from 2006 which is, sadly, probably the most prescient film of the 21st Century. Again, a classic to watch, about imagining in a world where we don't where you where you lose faith in the future, what happens, and a world that is not having children as a world that's losing faith in its own future. So that's always haunted me.   Trevor Freeman  52:12 It's funny both of those movies. So I've got kids as they get, you know, a little bit older, a little bit older, we start introducing more and more movies. And I've got this list of movies that are just, you know, impactful for my own adolescent years and growing up. And both matrix and Children of Men are on that list of really good movies that I just need my kids to get a little bit older, and then I'm excited to watch with them. If someone offered you a free round trip flight anywhere in the world, where would you go?   Greg Lindsay  52:40 I would go to Venice, Italy for the Architecture Biennale, which I will be on a plane in May, going to anyway. And the theme this year is intelligence, artificial, natural and collective. So it should be interesting to see the world's brightest architects. Let's see what we got. But yeah, Venice, every time, my favorite city in the world.   Trevor Freeman  52:58 Yeah, it's pretty wonderful. Who is someone that you admire?   Greg Lindsay  53:01 Great question.

How has the Australia-China relationship changed since the Prime Minister's last visit to China in 2023? From China's perspective, how does its relationship with Australia fit into its current worldview? And how has US policy under Trump impacted that relationship? What does the future hold for the Australia-China relationship, given China's increasingly assertive foreign and strategic policies? In this episode, Rowan Callick and Will Glasgow join Susan Dietz to unpack PM Anthony Albanese's recent visit to China and the complexities of navigating the Australia–China relationship.Rowan Callick OBE is an Expert Associate at the ANU National Security College (NSC). He is an experienced journalist with extensive China and other Indo-Pacific expertise. Will Glasgow is The Australian's North Asia Correspondent, now based in Beijing. He has lived and reported from Beijing and Taipei since 2020. Susan Dietz is Senior Executive Advisor, China at NSC. TRANSCRIPT Show notes NSC academic programs – study with us We'd love to hear from you! Send in your questions, comments, and suggestions to NatSecPod@anu.edu.au. You can tweet us @NSC_ANU and be sure to subscribe so you don't miss out on future episodes. Hosted on Acast. See acast.com/privacy for more information.

Mark Montgomery, a retired US Navy rear admiral who is now the senior director of the Center on Cyber and Technology Innovation at the Foundation for Defense of Democracies and the executive director of the Cyber Solarium 2.0 project, joins Defense & Aerospace Report Editor Vago Muradian to discuss how to improve defense cooperation with Taiwan to prepare for the kind of embargo and blockade scenarios Beijing has been practicing; whether the Trump administration will continue its support for Taipei given Washington last week blocked Taiwanese President Lai Ching Te from transiting the United States to visit Paraguay; how to address gaps and seams in the US-Japan alliance; worries across Asia in the wake of the Trump administration's rhetoric toward Europe; what to expect from the upcoming National Security Strategy and Force Posture Review; the impact of personnel cuts on US cybersecurity; and look at recent congressional budget moves and their impact on naval power.

Today, Jess, Les, and Bishop dive into Taiwan's recent recall vote targeting more than two dozen KMT legislators accused of obstructing legislation and aligning too closely with Beijing. While the vote ultimately failed and all KMT lawmakers kept their seat, it has deepened Taiwan's political gridlock and highlighted growing polarization in Taipei. With President Lai still lacking a legislative majority, questions are mounting over the KMT's ability to block critical defense spending and what that could mean for Taiwan's security.What does the failed recall tell us about the current state of Taiwanese politics? How is the Trump Administration's tough-love strategy shaping Taiwan's domestic dynamics? And if Trump cuts a trade deal with Beijing, could Taiwan's security be caught in the crossfire?Check out the sources that helped shape our Fellows' discussions: https://www.cnn.com/2025/07/26/asia/taiwan-votes-china-lawmaker-election-latam-intlhttps://edition.cnn.com/2025/07/23/asia/taiwan-recall-vote-explained-hnk-intlhttps://www.cfr.org/blog/what-failed-recall-taiwan-means-us-taiwan-and-cross-strait-relationsFollow our experts on Twitter: @lestermunson@NotTVJessJones@BishopGarrisonLike what we're doing here? Be sure to rate, review, and subscribe. And don't forget to follow @faultlines_pod and @masonnatsec on Twitter!We are also on YouTube, and watch today's episode here: https://youtu.be/CPlDN7TTyQo Hosted on Acast. See acast.com/privacy for more information.

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened down 217-points this morning from yesterday's close, at 23,443 on turnover of 7.2-billion N-T. The market rebounded from slumps seen during the the previous two sessions on Tuesday following a strong showing on Wall Street overnight. **President Lai Ching-te vows to increase defense budget to more than 3% of **GDP President Lai Ching-te says he plans to increase next year's defense budget to more than 3-per cent of G-D-P. Speaking at the opening of the Ketagalan Forum-Indo-Pacific Security Dialogue in Taipei, Lai said the budget will be increased based on continuing reforms within the island's armed forces and more investment (投資) in national defense. According to Lai, his administration will also continue to boost Taiwan's economic resilience and advance economic security by stepping up trade cooperation with other countries, And Lai also used his opening address to say his government remains committed to maintaining cross-strait "status quo”and ensuring peace and stability across the Taiwan Strait. 10 KMT affiliates indicted in Chiayi for recall petition forgery The Chiayi District Prosecutors' Office has indicted 10 people affiliated with K-M-T for forging 2,067 signatures on a petition to recall D-P-P lawmaker Chen Guan-ting. Those indicted include Yang Fu-cheng, the secretary-general of the K-M-T's Chiayi County branch; Ho Bo-lun, the director of -K-M-T lawmaker Wang Yu-min's local office. The eight other people indicted all worked for the K-M-T' Chiayi County branch. According to the Prosecutors' Office, all 10 suspects have charged with forgery (偽造) and violations of the Personal Data Protection Act. Another eight people have been granted deferred prosecution for one year. NATO to coordinate regular and large-scale arm deliveries to Ukraine NATO is set to coordinate (協調) regular and large-scale arm deliveries to Ukraine The AP's Jennifer King reports. Nigeria Trafficked Birds Seized Nigerian customs have seized over 1,600 parrots and canaries being transported from Lagos to Kuwait without a permit. This is one of the biggest wildlife trafficking seizures in years. On July 31, customs agents seized ring-necked parakeets and green and yellow fronted canaries at Lagos airport. These are protected species. The birds were not accompanied by the required permits. An investigation is ongoing (正在進行的) to find those responsible. The birds will be handed to the National Parks Service for rehabilitation and release. That was the I.C.R.T. EZ News, I'm _____. －－－－以下為 SoundOn 動態廣告－－－－ 挺你所想！與你一起生活的銀行 中國信託行動銀行APP 全新推出「交易中安全提示」防詐騙功能 開啟後，轉帳的同時也在通話，會自動跳出貼心提醒，力挺你的金融安 全 防護再進化，交易好安心！ 馬上下載「中國信託行動銀行APP」 https://sofm.pse.is/7zc5n3 -- Hosting provided by SoundOn

Geoff checks in from Germany, while in the middle of another Round-the-World trip Firstly, thanks to millionpodcasts.com who have recognized Seat 1A as one of their 25 Best Travel Hacking Podcasts. Geoff checked in from central Germany, a day after arriving in Frankfurt from Bangkok via Muscat, Oman. Geoff had started planning this Round-the-World trip in October 2024, when a terrific points flight offer showed up on Aeroplan to fly from Bangkok to Frankfurt via Muscat. The trip included Geoff's longest ever flight from Toronto to Taipei, Taiwan; an A330 to Da Nang, Vietnam; flying the long way around a massive storm in Hanoi, Vietnam; a flight to the new terminal at Siem Reap/Angkor, Cambodia; an ATR72 flight to Bangkok and First and Business class service via Oman. If you have trip plans or experiences that you would like to share, please email us at stories(at)seat1a.org or find us on Facebook, Bluesky, Threads and Instagram. If you wish to support the show financially, we are on Patreon. Show notes are available online at http://podcast.seat1a.org/

Renu was in Taipei recently and caught up with Prof Jacob Pang, Urologist and President of the Urological Association of Asia Annual meeting which takes place in Taipei from 14-17 August 2025. Find out why you should attend in this quick pod! UAA 2025 Congress website 

Fluent Fiction - Mandarin Chinese: Flavorful Triumph: Ling's Unforgettable Mystery Tea Win Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2025-08-01-22-34-02-zh Story Transcript:Zh: 在台北的一个热闹的夏日午后，阳光透过泡泡茶店的窗户，洒在颜色鲜艳的墙壁和柜台上，空气中弥漫着新鲜泡好的茶香。En: On a lively summer afternoon in Taipei, sunlight streamed through the windows of a bubble tea shop, casting its rays on the brightly colored walls and counters, while the air was filled with the aroma of freshly brewed tea.Zh: 这一天，泡泡茶店正举办一个神秘口味比赛，胜者可以免费喝一年的泡泡茶。En: On this day, the bubble tea shop was hosting a mystery flavor contest, with the winner receiving free bubble tea for a year.Zh: 玲看了看四周，满是参赛者和观众，她信心满满。En: Ling looked around, surrounded by participants and spectators, feeling completely confident.Zh: 她一直觉得自己对泡泡茶的口味了如指掌，总是能第一时间辨出各种奇特的味道。En: She had always felt that she had an expert palate for bubble tea flavors and could instantly identify various unusual tastes.Zh: 她身边的朋友伟，虽然不太相信玲能赢，但还是无条件支持她。En: Her friend Wei, although not fully convinced that Ling could win, supported her unconditionally.Zh: 店主源正忙着准备比赛的茶，脸上挂着一丝神秘的微笑。En: The shop owner, Yuan, was busy preparing the contest tea, a mysterious smile on his face.Zh: 今天的比赛，他准备了一个特别的口味，让大家来猜一猜。En: For today's contest, he prepared a special flavor for everyone to guess.Zh: 玲站在前排，目不转睛地盯着即将开始的比赛。En: Ling stood in the front row, her eyes fixed on the contest that was about to begin.Zh: 比赛开始，玲小口地品尝着茶，眉头微皱，这个味道真是奇怪。En: As the contest began, Ling took small sips of the tea, her brow furrowed.Zh: 无论她怎么分析，这个味道都让她摸不着头脑。En: This taste was truly strange.Zh: 于是，玲转向了她最好的朋友，伟。En: No matter how she analyzed it, she couldn't quite figure it out.Zh: “伟，我闻到了什么奇怪的香味，但就是说不上来。En: So, she turned to her best friend, Wei.Zh: ”玲苦恼地说。En: "Wei, I'm picking up on some strange aroma, but I just can't place it," Ling said in frustration.Zh: “或许你可以试着把它和家里的食谱联系起来？En: "Maybe you could try to relate it to a family recipe?"Zh: ”伟建议道。En: Wei suggested.Zh: 玲思考了片刻，突然想到了一种家族特有的甜品，添加了榴莲和薰衣草。En: Ling thought for a moment and suddenly recalled a unique family dessert that incorporated durian and lavender.Zh: 她决定大胆一试。En: She decided to take a bold guess.Zh: 随着时间一点点流逝，玲心里说出那个大胆的猜测：“是榴莲加薰衣草！En: As time ticked away, Ling voiced her daring speculation: "It's durian with lavender!"Zh: ”比赛结束，店主源微笑着宣布：“答案正确！En: The contest ended, and the shop owner Yuan announced with a smile, "The answer is correct!Zh: 这就是榴莲混合薰衣草的特别口味。En: It's a special durian mixed with lavender flavor.Zh: 恭喜玲！En: Congratulations, Ling!"Zh: ”玲高兴得跳了起来，周围响起一片掌声。En: Ling jumped up in joy as applause erupted around her.Zh: 她赢得了比赛，也学会了一个教训：再有把握的事情也要谨慎对待。En: She had won the contest and learned a valuable lesson: no matter how confident you are, things should be approached with caution.Zh: 同时，她感激伟一路的支持。En: She also felt grateful for Wei's unwavering support.Zh: 比赛结束后，玲与伟一起享受着免费的泡泡茶，一边分享着她的胜利心得。En: After the contest, Ling and Wei enjoyed free bubble tea together, sharing her victorious experience.Zh: 一切都在这个夏日的泡泡茶店里变得那么完美。En: Everything became so perfect in the bubble tea shop that summer day. Vocabulary Words:lively: 热闹的streamed: 洒aroma: 香气brewed: 泡好的contest: 比赛spectators: 观众confident: 信心满满expert: 了如指掌palate: 味觉unconditionally: 无条件mysterious: 神秘的furrowed: 皱眉analyzed: 分析determine: 辨出speculation: 猜测daring: 大胆的applause: 掌声victorious: 胜利的unwavering: 坚定的incorporated: 添加了unique: 特有的approached: 对待valuable: 宝贵的lesson: 教训caution: 谨慎grateful: 感激的support: 支持ticks: 流逝announce: 宣布recipe: 食谱

大稻埕夏日節 Dàdàochéng xià rì jié – Dadaocheng Summer Festival大稻埕煙火 Dàdàochéng yān huǒ – Dadaocheng fireworks市集 shì jí – market or fair (often temporary and festive)煙火秀 yān huǒ xiù – fireworks show七夕情人節 Qīxī qíng rén jié – Qixi Festival; Chinese Valentine's Day北門站 Běi Mén zhàn – Beimen Station (on the Taipei MRT Green Line)靜修女中 Jìng xiū nǚ zhōng – Jinxiou Girls' High School (a local bus stop name)雙連站 Shuāng lián zhàn – Shuanglian Station (on the Taipei MRT Red Line)大橋頭站 Dà qiáo tóu zhàn – Daqiaotou Station (on the Taipei MRT Orange Line)大稻埕碼頭 Dàdàochéng mǎ tóu – Dadaocheng Wharf貨櫃市集 huò guì shì jí – container market (market made from shipping containers)異國料理 yì guó liào lǐ – exotic/international cuisine冰涼 bīng liáng – icy and refreshing; cold調酒 tiáo jiǔ – mixed drink; cocktail夕陽 xì yáng – sunset街頭藝人 jiē tóu yì rén – street performer迪化街 Dí huà jiē – Dihua Street (a historic and traditional street in Taipei)南北貨 nán běi huò – traditional dry goods and groceries from all over Taiwan中藥 zhōng yào – traditional Chinese medicine霞海城隍廟 Xiá hǎi chéng huáng miào – Xiahai City God Temple (famous temple in Taipei)月老 Yuè lǎo – the Chinese god of love and marriage求姻緣 qiú yīn yuán – to pray for a romantic relationship or a good marriage match靈驗 líng yàn – effective; spiritually responsive or miraculous景點 jǐng diǎn – tourist attraction; scenic spot水岸光廊 shuǐ àn guāng láng – Riverside Light Corridor (a decorative light installation along the river)沿著 yán zhe – along (a road, river, etc.)淡水河邊 Dàn shuǐ hé biān – by the Tamsui River燈飾裝置 dēng shì zhuāng zhì – decorative light installationPlanning to travel or move to Taiwan? If you'd like to improve your Chinese before you go, feel free to book a one-on-one lesson with me.I'll help you improve your Chinese so you can settle in more comfortably when you arrive.Book a one-on-one trial lesson with me !

On July 26th the day of the historic vote to recall 24 Kuomintang (KMT) legislators we were with the Shān chú wēi hài (山除薇害) recall group in Taipei at Rongxing Garden (榮星花園) Rongxing garden, which is more like a park, for a sort of watch party with about a hundred volunteer recall campaigners. The recall vote results were being televised live on a series of oversized screens that had been set up in the park.   When we finally learned the results of the recall vote It was a shock. 0 of 24 legislators had been recalled. What a sad, disappointing day. I could see it in the faces of the recall volunteers and at the same time it was touching to see how they consoled each other as some could help but burst into tears. The leaders of the recall group asked everyone to join hands and to form a circle in a sign of solidarity and encouragement Carol and Eric shared their initial thoughts with us.   Related Links:

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened marginally higher this morning from yesterday's close, at 23,414 on turnover of 4.7-billion N-T. The market ended the day in positive territory on Monday, as investors reacted to the U-S' trade deal with the European Union and await the outcome of two-days of tariff talks between Washington and Beijing - which are taking place in Stockholm. Taipei MRT Wenhu Line Resumes After Morning Disruptions Taipei's Wen-hu MRT line has mostly resumed (恢復) normal operations after a system alert and disruptions earlier this morning. Around 8am today, the Taipei Rapid Transit Corporation reported a train alert message on the Wenhu Line, between Dazhi Station and Taipei Zoo Station in the direction of Taipei Zoo, was impacting train operations. This alert led to longer train stops and increased waiting times on platforms. Taipei Metro says the line has resumed operations, after advising passengers to allow an extra 15 minutes for their commute (通勤). The corporation says passengers who have questions regarding tickets or refunds can check at information counters or on the MRT's official website or the Taipei Metro GO app. (NS) CWB issues rain alerts And, The Central Weather Administration has issued rain advisories (公告，警告) for part of the island. Torrential rain alerts are in effect for Tainan, Kaohsiung and Pingtung. Extremely heavy rain warnings have been issued for Chiayi, Punghu and mountainous area of Taitung. While heavy rain advisories are in effect for Keelung and the North Coast area, New Taipei, Taipei, Taoyuan, Hsinchu, Chungua, Nantou, Yunlin and low lying areas of Taitung. All of the advisories will remain in effect through tonight. Trump cuts 50-day deadline for Russia to make a peace deal with Ukraine US President Donald Trump has reduced his 50-day deadline for Russia to make a peace deal with Ukraine, giving the Kremlin less than two-weeks to end the war or face massive (大量的，巨大的) secondary tariffs. The President set the new deadline ahead of a meeting with the UK Prime Minister Keir Starmer in Scotland. Toni Waterman has more from Washington Colombia President Found Guilty of Witness Tampering and Bribery Former Colombian President Alvaro Uribe has been found guilty of witness tampering and bribery charges. The ruling was announced on Monday by a judge in the country's capital, following a nearly six-month trial in which prosecutors presented evidence that Uribe attempted to influence witnesses who accused the leader of having links to a paramilitary group founded in the 1990s. Uribe faces up to 12 years in prison and the sentencing will be delivered in a separate (不同的) hearing. He is expected to appeal the ruling in a high court. That was the I.C.R.T. EZ News, I'm _____. －－－－以下訊息由 SoundOn 動態廣告贊助商提供－－－－ 挺你所想！與你一起生活的銀行 中國信託行動銀行APP 全新推出「交易中安全提示」防詐騙功能 開啟後，轉帳的同時也在通話，會自動跳出貼心提醒，力挺你的金融安全 防護再進化，交易好安心！ 馬上下載「中國信託行動銀行APP」 https://sofm.pse.is/7y3du3 -- 打造綠能與AI科技的示範驗證場域，串聯嘉義、南科、高雄及屏東等園區，大南方智慧轉型的關鍵樞紐，歡迎一同探索沙崙智慧綠能科學城，共創智慧未來！ 參訪進駐資訊請至 https://sofm.pse.is/7y4e9k 網站查詢 經濟部能源署/臺南市政府經濟發展局(廣告) -- Hosting provided by SoundOn

On our first day in Taiwan July 25th we went into the streets of Taipei where recall campaigners from the the Shān chú wēi hài (山除薇害) recall group were doing a last minute push asking people to get out and vote for the recall of 24 KMT legislators on July 26th.   Related Links: https://talkingtaiwan.com/first-day-in-taipei-day-before-the-great-recall-ep-320/   We previously interviewed 3 recall campaigners from this group- Carol, Eric and Acho in episode 316. Eric explaining the meaning behind the recall group's name.   Later that day we sat down to interview A-Mei the recall group's spokesperson who was doxed by the Kuomintang.   We will be releasing our full interview with A-Mei at a later date so stay tuned for that.   We ended the night at a recall campaign rally so spirited that you'd never guess that we were all standing in the pouring rain getting soaked.   Related Links: https://talkingtaiwan.com/first-day-in-taipei-day-before-the-great-recall-ep-320/

槓桿不賭命是一檔美股投資者的真實記錄，我是何星。每集我會完整告訴你我的資產配置，以及如何運用槓桿跟著資本成長。你我都是普通人，我不追求成功，我只想要生活輕鬆。如果你跟我一樣，podcast搜尋槓桿不賭命 https://fstry.pse.is/7ykvp5 —— 以上為 Firstory Podcast 廣告 —— 免費追蹤，更新資訊不漏接： https://open.firstory.me/join/clh1qknlp0h0s01w286nq3i04 加入會員，支持節目： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04 留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments 歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868 六個月的線上陪伴計畫報名表： （2025.07 第二階段開始） https://reurl.cc/7KzaRb 「布姐的交誼廳。陪你聊人生聊職場」Line 社群 https://reurl.cc/36NWEL(密碼：love) 本集重點： 體悟「自我證明無效」：努力做給別人看，只換來短暫關注，後來懂得轉向為自己而做。自由接案的選擇標準：即使商業合作金額高，也會回到「是否是我想做的」這個原則。理性盤點支持轉職：財務確認後才有底氣轉型，選擇並非衝動，而是謹慎的實踐。日本生活是經過可行性驗證的選擇：先用三個月探索，確認這樣的生活是否適合自己。對生活有強烈的畫面感與設計感：不是衝動行動，而是基於具體想像與細緻規劃。《下班後人生才開始》一書分享生活感提案：書中100件小事都是從生活中萃取的靈感。生活儀式感的重要性：從泡茶、做菜、考試等小事中創造日常幸福感。不再把熟悉的人事物當理所當然：如家人相處、住家附近的咖啡店等。願意分享，也渴望被回饋：透過留言評論、社群互動得到幸福感來源。對想轉職的人提出「可行範圍內先行動」的建議：不是全然放棄，而是理性評估、逐步實踐。 來賓 張安安 　　一個努力上班也努力下班的人，經營了一個播放著日常生活並有著27萬訂閱人次的頻道， 這個頻道叫做《安安台北小日常》。著有《1個人的下班料理》食譜書。 　　♪ YouTube頻道｜27萬．安安台北小日常Ann in Taipei 　　安安台北小日常 Ann in Taipei 　　♪ Instagram｜5.6萬．安安台北小日常Ann in Taipei 　　www.instagram.com/taipei_serenade 　　♪ Facebook粉絲專頁｜4萬．安安小日常Ann in Taipei 　　www.facebook.com/Ann.in.Taipei 　　♪ Facebook社團｜65萬．佈置藏在生活裡 　　www.facebook.com/groups/282078109564569/

The pay-per-crawl model for compensating content creators on the Internet, what sorts of content might win if that market actually materializes, and the grim outlook for today's digital publishers. From there: Thoughts on the cost structures that can succeed, the value of community and direct connections to customers, and Stephen Colbert's exit at CBS. At the end: Questions on big tech's hiring power, contractors at startups, Chinese AI development, F1 broadcast rights, alternative rock, and what to do in Taipei and DC.

This Bits and Pieces episode blows from here to there—just like Typhoon Danas, which recently battered John's beloved Chiayi. It's a little chaotic, a little wild. We jump from Belgium to Yemen to 1950s Taipei, where we meet Pierre Ryckmans, a young scholar who arrived in Taiwan on a cargo ship and ended up learning brushwork from the cousin of China's last emperor—a famously tedious teacher who refused to leave his studio to tutor Madame Chiang Kai-shek after she took up painting at 53. We wrap things up with the Generalissimo himself, who, despite a full-hour audience, somehow managed to leave absolutely no impression on Ryckmans, a man who would become a giant in the world of sinology.PLEASE – leave a review, follow & "like" on social media. Thanks!

「讀癮」線上廣播，千人熱愛收聽！由主持人Robert帶你探索閱讀、成長、職場、人際、財商等多元議題。精選故事與嘉賓分享，啟發思考、激發行動，打造屬於你的知識饗宴。無論尋找靈感或解答，這裡總有一集適合你！快搜尋「讀癮」FB、IG、Threads，與我們互動、五星推薦，加入眾多聽眾行列，共創生命價值！ https://fstry.pse.is/7yc277 —— 以上為 Firstory Podcast 廣告 —— 免費追蹤，更新資訊不漏接： https://open.firstory.me/join/clh1qknlp0h0s01w286nq3i04 加入會員，支持節目： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04 留言告訴我你對這一集的想法： https://open.firstory.me/user/clh1qknlp0h0s01w286nq3i04/comments 歡迎您用一杯咖啡支持我持續創作 : https://pay.soundon.fm/podcasts/a11a2120-4bc4-4fb2-813b-135bd96e5868 六個月的線上陪伴計畫報名表： （2025.07 第二階段開始） https://reurl.cc/7KzaRb 「布姐的交誼廳。陪你聊人生聊職場」Line 社群 https://reurl.cc/36NWEL(密碼：love) 本集重點： 工程師的假象快樂：安安曾經熱愛加班，後來發現那只是「自我感動式的成就感」。 覺察與轉向：安安透過與自己的深度對話，意識到加班無效後開始改變生活方式。 從興趣變接案：她從拍片的興趣出發，開始接案以了解市場需求。 建立副業心態：透過接案認識客戶需求，進一步為自己打基礎。 YouTube 頻道誕生：開始拍攝房屋裝潢影片，頻道逐漸成長。 內容與技能同步演化：生活變化帶動頻道主題進化，從裝潢到便當、跑步、軟裝設計。 經驗中的自我承認：她坦承組樂團失敗、軟裝案無法持續等經驗，過程中學習放下與面對。 拍片是唯一持續的事：安安發現拍影片能持續給予她成就感與喜悅。 為了目標，拒絕業配：在10萬訂閱前她拒絕所有合作案，只為了忠於自己想做的內容。 幻想 vs 現實落差：達到目標（10萬訂閱獎牌）後，感受到現實的平靜，體悟人應該忠於內在的成就感。 來賓 張安安 一個努力上班也努力下班的人，經營了一個播放著日常生活並有著27萬訂閱人次的頻道，這個頻道叫做《安安台北小日常》。著有《1個人的下班料理》食譜書。 ♪ YouTube頻道｜27萬．安安台北小日常Ann in Taipei 安安台北小日常 Ann in Taipei ♪ Instagram｜5.6萬．安安台北小日常Ann in Taipei www.instagram.com/taipei_serenade ♪ Facebook粉絲專頁｜4萬．安安小日常Ann in Taipei www.facebook.com/Ann.in.Taipei ♪ Facebook社團｜65萬．佈置藏在生活裡 www.facebook.com/groups/282078109564569/

In this episode, we're joined by Marcin Jerzewski 葉皓勤, Head of the Taiwan Office of the European Values Center for Security Policy, as we look ahead to the EU-China summit. We break down relations between different Central European nations and China, and why much can be learned from Taiwan – as Beijing and Moscow continue to consolidate their axis of malign influence, and a delegation from the Special Committee on the European Democracy Shield travels to Taipei.

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened up 75-points this morning from yesterday's close, at 23,063 on turnover of 5.3-billion N-T. The market came under heavy pressure on Tuesday - tumbling more than 350-points - amid increasing investors concerns over U-S tariff threats. Analyst says many investors are now turning downbeat about the ongoing tariff talks with the U-S - as the negotiations have yet to yield any conclusions. Competing rallies planned ahead of recall votes The D-P-P and the K-M-T are set to hold competing rallies on Ketagalan Boulevard in Taipei later this week as they make a final push ahead of Saturday's batch of recall votes targeting 24 K-M-T lawmakers. The D-P-P will be holding a rally there on Thursday. And according to the "Oppose CCP, Safeguard Taiwan Alliance," a livestreamed (直播) rally will also be held on Friday night on Jinan Road. Meanwhile, the K-M-T is set to hold a rally on Friday night on Ketagalan Boulevard. Traffic restrictions will be in place in the area on both days. 12 imported cases of dengue fever reported last week The Centers for Disease Control is reporting 12 new imported dengue fever cases. According to the C-D-C, the cases were recorded from July 15 through 21 and it's the highest single-weekly total this year. The C-D-C's Epidemic Intelligence Center says the cases came Thailand, Indonesia, Vietnam, Myanmar and Cambodia. A total of 109 confirmed imported cases of the mosquito-borne disease have been reported here in Taiwan so far this year and 91.7-per cent of them have come from Southeast Asia. Indonesia accounted for (佔) the most with 45 cases. US agrees trade & security deal with Philippines The US and the Philippines have agreed a trade deal that will see goods (商品) from the Southeast Asian country face a 19% tariff. US President Donald Trump announced the news following a visit from the nation's President Ferdinand Marcos Jr. Nick Harper reports from Washington. Syria Finds Thousand Deaths in Sectarian Violence A Syrian government investigation says more than 1,400 people died in sectarian (宗派的) violence along the coast earlier this year. The clashes began in March after armed groups loyal to former President Bashar Assad attacked security forces of the new government. Retaliation led to widespread violence against civilians, with sectarian motives largely driven by revenge. Meanwhile, recent violence in Sweida province has displaced over 128-thousand people. The Syrian Red Crescent reports dire (嚴重的；危急的) conditions with shortages of supplies and damaged infrastructure. Aid deliveries have started, but concerns remain about the long-term displacement. British Wreck Found on Scottish Beach Archaeologists have identified a 250-year-old shipwreck uncovered on a remote Scottish beach. The 18th-century naval warship and whaling vessel called the Earl of Chatham was revealed (露出) in February 2024 after a storm swept away sand. Local farmers and researchers worked together to recover the ship's 12 tons of oak timbers. Experts traced the ship's history using tree-ring dating (樹木年輪學) and historical records. It was originally named HMS Hind and it served in the American War of Independence before becoming a whaling ship. It was wrecked off Sanday in 1788. That was the I.C.R.T. EZ News, I'm _____. -- Hosting provided by SoundOn

South Korea and China have a complex relationship characterized by economic interdependence, strategic competition, and regional security concerns. Navigating this delicate balance has been a defining challenge for every South Korean president. Newly elected President Lee Jae Myung has assumed power at a time of increasing US-China strategic competition as well as uncertain global supply chains and growing threat from North Korea. Could this new administration mark a shift in Seoul's approach to Beijing? Or will President Lee maintain strategies similar to that of President Yoon?To discuss ROK-China relations, and President Lee's approach to this intricate issue, we are joined on the podcast today by Dr. Ramon Pacheco-Pardo. He is a professor of international relations at King's College London and the KF-VUB Korea Chair at the Center for Security, Diplomacy and Strategy in the Brussels School of Governance. He is also an adjunct fellow with the Korea Chair at the Center for Strategic and International Studies, and the author of several books on the domestic affairs and foreign policy of South and North Korea.  Timestamps[00:00] Start[01:44] “[P]ragmatic diplomacy centered on national interests”[05:06] State of Play for Sino-South Korean Relations[09:56] Balancing Between the United States and China[14:47] China Taking Advantage of US-ROK Frictions [19:03] Economic Interdependence as a Leverage[25:39] Xi Jinping Attending APEC South Korea 2025[31:11] American Pressure on Allies to Protect Taiwan

Il 20 luglio gli elettori giapponesi hanno votato per il rinnovo di metà della camera alta del parlamento e la coalizione di governo ha perso la maggioranza. Con Marco Zappa, docente di storia e lingua giapponese all'università Ca' Foscari Venezia, da Taipei.Alcuni studenti italiani si sono rifiutati di sostenere l'esame orale della maturità, per protesta contro i criteri di valutazione di un sistema scolastico che giudicano troppo competitivo. Con Francesca Coin, sociologa.Oggi parliamo anche di: Serie tv • Shrinking su Appletv+Ci piacerebbe sapere cosa pensi di questo episodio. Scrivici a podcast@internazionale.it Se ascolti questo podcast e ti piace, abbonati a Internazionale. È un modo concreto per sostenerci e per aiutarci a garantire ogni giorno un'informazione di qualità. Vai su internazionale.it/abbonatiConsulenza editoriale di Chiara NielsenProduzione di Claudio Balboni e Vincenzo De SimoneMusiche di Tommaso Colliva e Raffaele ScognaDirezione creativa di Jonathan Zenti

輝達 huī dá - NVIDIA, a major American technology company known for graphics processing units (GPUs)設立 shè lì - to establish or set up總部 zǒng bù - headquarters電腦展 diàn nǎo zhǎn - COMPUTEX執行長 zhí xíng zhǎng - CEO or executive director黃仁勳 Huáng Rénxūn - Jensen Huang, co-founder and CEO of NVIDIA宣布 xuān bù - to announce北投士林科技園區 (北士科) Běi tóu Shì lín Kē jì Yuán qū (Běi shì kē) - Beitou Shilin Technology Park, a tech district in Taipei業務 yè wù - business operations評估 píng gū - to evaluate or assess輝達星座 huī dá xīng zuò - NVIDIA Constellation, the name of NVIDIA's planned Taiwan headquarters; "星座xīng zuò" literally means "constellation"人才 rén cái - talent or skilled people星星 xīng xing - stars辦公大樓 bàn gōng dà lóu - office building研發中心 yán fā zhōng xīn - R&D center (Research and Development Center)創新中心 chuàng xīn zhōng xīn - innovation center人工智慧 rén gōng zhì huì - artificial intelligence (AI)領域 lǐng yù - field or area of expertise加分 jiā fēn - to give extra credit or enhance; metaphorically, to boost or improve技術 jì shù - technology or technique創新 chuàng xīn - innovation台積電 Tái jī diàn - TSMC (Taiwan Semiconductor Manufacturing Company)鴻海 Hóng hǎi - Foxconn, a major Taiwanese electronics manufacturer廣達 Guǎng dá - Quanta Computer, a Taiwanese tech company合作密切 hé zuò mì qiè - closely cooperate緊密 jǐn mì - tight or close (relationship, cooperation, etc.)機器人 jī qì rén - robot學術單位 xué shù dān wèi - academic institutions培養 péi yǎng - to cultivate or nurture (talent, skills)招募 zhāo mù - to recruit工程師 gōng chéng shī - engineer看重 kàn zhòng - to value or attach importance to強 qiáng - strong or powerful供應鏈 gōng yìng liàn - supply chain晶片 jīng piàn - chip (as in semiconductor chip)組裝 zǔ zhuāng - to assemble伺服器 sì fú qì - server (computer hardware)環節 huán jié - link or part (in a process or system)優秀 yōu xiù - excellent or outstanding高效能運算 gāo xiào néng yùn suàn - high-performance computing (HPC)If you're ready to take your Chinese to the next level, not just memorizing words but actually having meaningful conversations with Taiwanese people about real topics like politics, culture, war, news, economics, and more. I invite you to join a one-on-one trial lesson with me. I'll help you build a clear, personalized plan so you can speak more naturally and truly connect with others in Chinese. Book a one-on-one trial lesson with me !

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened down 68-points this morning from Friday's close, at 23,314 on turnover of 5.3-billion N-T. The market gained solid ground on relativily strong turnover on Friday, after Wall Street rose to more records overnight following better than-expected updates on America's economy and a mixed set of profit reports from several leading U-S companies. Police investigating egg throwing in front of DPP's Taipei headquarters Police in Taipei say they're investigating incidents of eggs being thrown at the D-P-P headquarters building. Eggs were reportedly thrown at the building on Beiping East Road during an anti-recall rally organized by the Taiwan People's Party. Speaking at the event, T-P-P Chairman, Huang Kuo-chang called on voters to turn out (出席) in support of five of the K-M-T candidates facing recalls this coming Saturday. The event was attended by all eight members of the T-P-P legislative caucus and the five Taipei K-M-T lawmakers being targeted by the recall. Taiwan's new representative arrives in Thailand Taiwan's new representative to Thailand, Peter Lan has arrived in Bangkok to take up his post. Lan and his wife were greeted by his deputy and staff at the Taipei Economic and Cultural Office in Thailand, as well as Taiwanese businesspeople and expats on their arrival at Bangkok's main international airport. Speaking briefly there, Lan said he plans to promote (推動) cooperation and build connections between Taiwan and Thailand in trade, technology, education, labor and culture. Lan arrived in Thailand after serving as the head of the foreign ministry's Department of East Asian and Pacific Affairs since July of 2023. Indonesia Ferry Fire Leaves 3 Dead Indonesian rescuers evacuating people from a passenger ferry that caught fire at sea say more than 560 were rescued and three died. The ferry was making a regular half-day journey to Manado, the capital of North Sulawesi province, from a port in the same province Sunday when the fire started about midday. Rescue crews pulled many people from the sea, and local fishermen also saved some survivors (倖存者) as they were drifting in the choppy waters. Authorities previously said five people died, but revised it to three Monday after two passengers initially reported as dead were saved in a hospital. Request to unseal Epstein grand jury transcripts likely to disappoint, ex-prosecutors say A former prosecutor says a request to unseal the Epstein grand jury transcripts (文字記錄) are likely to disappoint. AP correspondent Julie Walker reports Japan Decontaminated Soil at PM Office Decontaminated but slightly radioactive soil from Fukushima has been delivered to the Japanese prime minister's office to be reused in an effort to showcase its safety. Officials say the soil meets safety standards set by the Environment Ministry and the International Atomic Energy Agency. It will be covered with topsoil in a lawn garden to keep radiation levels negligible and monitored regularly. Saturday's delivery marks the first reuse of such soil outside Fukushima experiments (實驗). The government hopes this move will reassure the public of its safety as it seeks to reduce the massive volume of contaminated soil stored near the nuclear plant. That was the I.C.R.T. EZ News, I'm _____. －－－－以下訊息由 SoundOn 動態廣告贊助商提供－－－－ 挺你所想！與你一起生活的銀行 中國信託行動銀行APP 全新推出「交易中安全提示」防詐騙功能 開啟後，轉帳的同時也在通話，會自動跳出貼心提醒，力挺你的金融安全 防護再進化，交易好安心！ 馬上下載「中國信託行動銀行APP」 https://sofm.pse.is/7wzdj7 -- Hosting provided by SoundOn

We meet painter Charlotte Keates within her new installation ‘Inner Landscapes'. We discover the inspiration behind her epic new commission and explore her lifelong passion for drawing and painting.Keates' work is inspired by interiors, travels, and architectural composition, in seamless communion with elements from the natural world. Trees push through flat concrete, while perspectives unfold in sheets of glass. These images of modernist leisure leave one with the feeling of having entered a space only recently vacated, dramatizing stillness without surrendering movement. These are environments that suggest, technically as well as artistically, indistinct human activity and motion.Her paintings gently weave together impressions of space and structure with subtle narratives, often emerging through the interplay of distinctive colours and carefully placed objects. These scenes do not depict real places but rather reflect traces of memory and quiet moments of perception. The spaces she constructs are imagined, yet the emotions they carry feel genuine and immediate. Without relying on overt storytelling, her works convey a calm presence and a quiet tension. As art historian Marco Livingstone observed, “the highlighted area acquires a hypnotic presence, as if spotlit into existence from within an atmosphere of ambiguous limitless space.”Keates was born in 1990 in Somerset, United Kingdom, and currently lives and works in Guernsey and London. She received her Bachelor of Fine Arts degree from Falmouth University. She will show new work in a forthcoming group exhibition at the Ju Ming Museum in October 2025, Taipei, Taiwan.Follow @CharlotteKeates on Instagram.

In this episode, a young American missionary family boards a cargo ship for Taiwan in 1955. What could go wrong? Four weeks, a typhoon, and a customs nightmare later, they arrive in a land where whole-wheat flour is exotic, and blonde kids conjure crowds. Taipei in the 1950s was “fragrant,” with open sewers and “honey buckets” filled with human waste used as fertilizer. This week on Formosa Files, we bring you a missionary tale of faith, grit…and refrigerator duties.  Leave a comment, follow us on social media and/or give us a rating or review – it's much appreciated and helps others discover this podcast.

打造綠能與AI科技的示範驗證場域，串聯嘉義、南科、高雄及屏東等園區，大南方智慧轉型的關鍵樞紐，歡迎一同探索沙崙智慧綠能科學城，共創智慧未來！ 參訪進駐資訊請至 https://sofm.pse.is/7w7s2t 網站查詢 經濟部能源署/臺南市政府經濟發展局(廣告) --

Jenn speaks to Hungarian bred, Taiwan based Zoltan Konczol. Zoltan is a brand ambassador for Campari and Brand Education Manager at Campari Academy Lead in Asia. He is also the founder of Breathrise | Mindful Mixology a company that focuses on wellness to help burnt out individuals build resilience and unlock their peak performance. From his humbling beginnings in Budapest to the nightlife in the streets of London, to the hustling Hong Kong city life to now Taipei. Zoltan dives into how he was led on to the wrong path in life and how breath work saved him and why he is so passionate about sharing this practice with more individuals!  (Recorded on June 12, 2025)About Zoltan KonczolZoltan Konczol, is a hospitality professional who started behind the bar at 17 in Hungary. With experience in top venues across the UK and Hong Kong, his passion for cocktail craftsmanship led him to his career as a Brand Ambassador for Campari, and now Brand Education Manager and Campari Academy Lead in Asia.A personal health challenge shifted his focus— he became a certified Breath Masters instructor, ISSA personal trainer, performance expert, and longtime biohacker. In 2024, Zoltan founded Breathrise | Mindful Mixology to combine his hospitality expertise with his wellness knowledge. His mission is to help teams beat burnout, build resilience, and unlock peak performance by creating a sustainable, thriving workplace in our fast-paced world.Episode Resources:WebsiteIG Breathmasters Science of Breath By: Rama Body By Breath By: Jill Miller Andrew Humberman

New Bloom is an online magazine and community space covering activism and youth politics in Taiwan and the Asia Pacific, founded in Taiwan in 2014 in the wake of the Sunflower Movement. They welcomed the host of Insight Myanmar for a talk at their Taipei center.

Taiwanese pilots flew combat jets in Saudi uniforms over Arabian skies? Yes. This week, learn about what may seem like an unusual friendship: the close ties between Taiwan and Saudi Arabia. Bonded by oil, anti-Communism, technical exchanges, interest-free loans, and even seedless watermelons, Saudi Arabia was the only nation in the Middle East to vote “NO” on letting Red China into the UN, and they only swapped from Taipei to Beijing in 1990. This week's episode is an oasis for those thirsting to learn more about the ROC and 沙特阿拉伯 (Shātè Ā lā bó).PLEASE follow/like/sub/etc, on IG, FB, YT or LinkedIn, leave a review on Apple Podcasts or on our website, and most importantly, tell your friends about this FREE Taiwan history podcast!

OPENING ILLUSTRATION: Back in 1997 in Taipei they decided, as part of a celebration to do a massive game of tug of war. Let me ask you, how many of you were the kid that would let go of the rope when playing tug of war… Ha, just about every guy I know has done that. The people should have let go of the rope… That day they had 1,600 people join in the tug of rope. I can't even imagine that many people and how long the rope had to have been. Here's what I do know, that many people, tugging on one rope exerted 176,369 lbs of force on the rope… Here was the problem, no one thought to check how much force the rope 2” thick rope could actually handle, which was only 57,320 lbs. What happened was crazy. When all 1600 people began tugging all at once the rope severed and as it did, two men has their arms ripped from their bodies… It's not clear if the rope snapped back and severed the arms or if they were literally ripped off their bodies. Can you imagine standing there looking down at the ground and being like, “someone lost an arm” and then realizing it was you… Oh man, that's crazy! This morning we are going to begin to explore the tension that's created when we follow God by looking at the life and story of Abraham from scripture. I heard someone say once that Tension is not something you can typically get rid of, rather it's something you manage. my hope is to help you learn to manage the tension SCRIPTURE: Genesis 12:1-3 The Lord had said to Abram, “Go from your country, your people and your father's household to the land I will show you. 2 “I will make you into a great nation, and I will bless you; I will make your name great, and you will be a blessing.[a] 3 I will bless those who bless you, and whoever curses you I will curse; and all peoples on earth will be blessed through you.”[b] It would be easy for me to preach an inspirational sermon about hearing God, believing God, and following God. I could preach and get yall fired up and talking about how Abraham didn't hesitate, he just followed God and how through Abe God will bless all peoples, some day Jesus will come through his lineage and you will sit in this room today because this guy thousands of years ago left everything. And while that sermon would be good and true, it would miss something. Did you notice what Abe was going to have to leave behind to follow the call of God? b His country, his people, and his family If you've ever done something significant like moving away from a place you grew up in you know this wasn't a quick easy thing for Abe. I'm preaching for the silence right now, and we don't know for sure. But you do know that his country is the land he grew up in, it's knowing all the honey holes for fishing, and knowing the best places to hunt. It's all the culture and customs he's ever known. His country represents everything he's comfortable with. and his people? Abe is leaving his friends, he's leaving his neighbors, he's leaving his aunts and uncles and relatives. He's leaving free babysitting and help with sick animals, he's leaving all his community Leaving his people is leaving his community and friends behind. and then to leave his father's household. There's no phones, there's no facetime. Abe is literally saying, “I may never see you again” to the people who are closest to him. Leaving his father's household is going into the world alone. Look, it would be easy for me to make this seem easy, but following God is not easy, it's full of tension. It would be easy to hide the fact that Abe will take things into his own hands because things didn't happen the way he thought they should. It would be easy to hide the doubt his wife had or how she laughed at God or how God gave promises to her too to confirm what he called Abe to do. Following God is not always easy and clear cut. Jesus said it this way: John 3:8 The wind blows wherever it pleases. You hear its sound, but you cannot tell where it comes from or where it is going. So it is with everyone born of the Spirit. So, I was thinking. How do I help you make sense of this without overwhelming you. On one side I want you to start listening to God and being brave enough to follow Him into the generosity of giving your life away like Abraham did b On the other side, I want to make sure it's God you're listening to… b 2 Guardrails as you learn to follow God into the unknown: b 1. Start with what's clear. God has already called you to certain things, have you mastered those? Love your neighbor, Love your enemy forgive as He forgave you be generous etc. ILLUSTRATION: When our kids were little and wanted to learn to ride a bike, I learned pretty quickly they needed to learn to balance before they learned peddling. We'd take them to the top of the driveway and have them put their feet down and just let it coast down to the bottom and then go again till that was easy. I'm not saying God won't call you to big things when you are a new christian. But I am saying if you are not faithful in these, why would would he send you big things? b If you haven't learned to look at life through the Kingdom lens of “everything I have is on loan to me, so I can give it away,” then why would He give you more? b Most of what God calls us to is small, it's in the small that He learns if you are able to handle much. (Luke 12:48) 2. Following God should never be a battering ram to use against others ILLUSTRATION: we've all met the person who claims God has told them to do something, the worst cases are the people who say God told them something that manipulates you into having to do something for them. “God told me you are supposed to come help us…” Maybe…. Maybe he did… But Abraham's story wasn't that clear cut God revealed it to his wife too (Genesis 18:1-15) God spoke it multiple times to Abraham (Genesis (Genesis 12, 15, 17) b God may be a God who is hard to nail down, but He is not a God of chaos. b It's ok to take time to confirm what God is calling you to and to make sure you are listening to Him and not just following your emotions… CLOSING ILLUSTRATION: People today are still following God's call like Abraham did. They are still leaving everything they know and giving everything they have to follow Him. My wife and I have done it several times (moving to Kentucky from Kansas was one of those for us). I want to introduce you to a young couple who is taking a massive step. Listen to their story [PLAY VIDEO OF THE OTTS] ------------- Genesis 12:1-3 The Lord had said to Abram, “Go from your country, your people and your father's household to the land I will show you. 2 “I will make you into a great nation, and I will bless you; I will make your name great, and you will be a blessing.[a] 3 I will bless those who bless you, and whoever curses you I will curse; and all peoples on earth will be blessed through you.”[b] John 3:8 The wind blows wherever it pleases. You hear its sound, but you cannot tell where it comes from or where it is going. So it is with everyone born of the Spirit. Abraham is called out of a nation that he knew. A land, a people, all his friends. This may not seem like generosity, but let me tell you, generosity is the laying down of what you have to benefit another. Abraham is leaving everything he knows to bless the entire world. You and I are blessed because this man was faithful in what God called him to. Jesus will come through his line as a direct result of him being willing to follow God into this. God still calls people like this. My wife and I moved from KS to be here to minister at the call of God. Same with you, He's still looking for the faithful and to call you to something greater. The question is whether we will respond with generosity, lay down our life and our rights for the blessing of others. The secret is that in the laying down, God ends up blessing us as well… We'll see this in Abe. Interview or video with the Otts STUDY: It's easy to see Abram as some super human who this was easy for, but trapped in those words are lots of heartache, lots of stress, lots of questioning, etc.  "Go from your country, your people and your father's household to the land I will show you." Let's break it down.  Leave the people and customs you have always known - your country.  Leave the land, the way of life, the culture, leave it all... Leave your people - leave the friends you've grown up with, leave the ones you see at the well when you're watering your animals, leave it all. Leave your father's household.  Leave your family, walk away from those you love - no phone calls, no facetime, no returning.  Leave them and never see them again. this was not easy.  This was complete and utter trust - I wonder what Terrah said to Abe? "Son, this is not a smart move.." "Son, what are you going to do if you run out of food? or get attacked?  What will you do? The narrative that's easy to believe and that most of us believe is we are out there alone, but that's not true.  We forget God. We forget that He is moving and will move.   Following God is not an easy peasy thing, it's not straight forward and efficient like we think of efficiency.  following God is being willing to follow Him into the unknown. The tension Abe felt in following God was extreme.  It was not easy, it was a difficult thing.   Guardrails there are already things God has called you to do that are not special love your neighbor forgive be generous etc. Most things God calls us to are not massive - they are little things like, "hey, give that person some help" or "offer to watch their kids for free".  Jesus very clearly said that whoever is faithful in the little things will be given more This is not about baptizing your ideas and telling people it's from God.  Abe very much heard from God and God reconfirmed it multiple times, even with his wife Sarai having it confirmed to her.  This should never be a battering ram to another person.. What has God called you to be generous in that the tension of the unknown has kept you from being obedient? What's the worst thing that would happen if you listened to Him? Who do you need to invite into praying over this decision to make sure you are hearing from God (John says to test the spirits) ORDER: Starting generous tensions -looking at the tension of following God while still in the skin Abe and his call -would be easy to preach an inspirational sermon about following God -but thats not reality. What's hidden in these words are the nights spent deciding to follow God (the pain of separation from family, etc.) -what's hidden in that sermon is Abe doubting and not always listening to God, but taking things into his own hands - his wife laughing -what's hidden is that it was confirmed to his wife and when they finally saw the promise was YEARS later there is tension when following God - because God doesn't make things clean and cut perfect, He makes it wild and makes it where you need to stay close to Him, it's why we call it "following" So, practicals, what do you do if you feel God calling you to something big.. Guardrails there are already things God has called you to do that are not special love your neighbor forgive be generous etc. Most things God calls us to are not massive - they are little things like, "hey, give that person some help" or "offer to watch their kids for free".  Jesus very clearly said that whoever is faithful in the little things will be given more This is not about baptizing your ideas and telling people it's from God.  Abe very much heard from God and God reconfirmed it multiple times, even with his wife Sarai having it confirmed to her.  This should never be a battering ram to another person.. I want to introduce you to some friends who are following God in some big and scary ways... -introduce the Otts talk about their story...

On June 13th, Israel launched attacks on several military and nuclear facilities in Iran, marking the beginning of a 12-day war between the two countries. The United States followed with targeted strikes on Iranian nuclear sites to prevent Iran from becoming a nuclear power and posing a threat to regional and global stability. China's involvement in the conflict was limited to condemning the Israeli and US use of military force and calling for de-escalation. Beijing offered only rhetorical support for Tehran. To discuss what the Israel-Iran war reveals about China's relationship with Iran, its evolving strategy in the Middle East, and the broader implications for US-China competition, we are joined by Yun Sun on the podcast today. Yun is a Senior Fellow, co-Director of the East Asia Program and Director of the China Program at the Stimson Center. Her recent piece in The Wire China entitled “How China Sees Iran's Future” offers provides a nuanced take on Beijing's calculus during and after the war. Timestamps[00:00] Start[01:34] China's Diplomatic Strategy Toward the Middle East[05:00] A Limited Chinese Response and China's Regional Role[08:19] Chinese Perceptions of Iran's External Strategic Blunders[15:00] Trickling Chinese Investment into Iran[20:10] Chinese Concerns About a Nuclearized Iran[25:09] Implications of the Israel-Iran War for China's Energy Security[32:04] Trump's Response Shaping Chinese Views of the United States 

In this episode of the ChinaPower Podcast, Ms. Meia Nouwens and Ms. Veerle Nouwens join us to discuss key takeaways from the recent 2025 IISS Shangri-La Dialogue. They start by discussing the significance of the dialogue as a high-level forum for discussion between governments on issues impacting Asian security and they highlight some of the major topics that countries repeatedly brought up throughout sessions, with cross-regional security, hybrid threats, and uncertainty in the international order as three of the most prominent. They unpack President Macron's speech, who, they note, is the first European leader who has ever been invited to provide keynote remarks at the dialogue, and describe the emphasis he laid on Europe becoming a more active player in the Indo-Pacific region. Meia and Veerle also discuss the attendance from China's side and point to the notable absence of Chinese Defense Minister Dong Jun. They describe China's messaging this year as less focused on the United States and instead with a greater emphasis on China's relationships with regional partners. Similarly, they touch on the variety of current views of China they heard from regional countries during the dialogue, which ranged from viewing China as a cooperative partner, a challenger, and a competitor all to different extents. They describe U.S. Defense Secretary Hegseth's remarks and note they believe he succeeded in providing some reassurance to allies and underscored his emphasis that the U.S. can work more with partners in the region through increased forward deployment of troops, cooperation on defense industrial capabilities, and greater interoperability. Finally, Meia and Veerle describe what they heard from countries as shared challenges in the region that transcend boundaries and emphasized the consensus among many for the US and China to find ways to cooperate with each other despite their disagreements.     Ms. Meia Nouwens is a Senior Fellow for Chinese Security and Defense Policy. Meia's expertise lies in Chinese cross-service defense analysis, China's defense industry and innovation, as well as China's regional strategic affairs and international relations. She leads IISS research on China's Digital Silk Road, and was a co-lead of the China Security Project with the Mercator Institute for China Studies. Prior to commencing at IISS, she worked for the European External Action Service as a policy officer in Taipei, and as a trade analyst in the EU's delegation to New Zealand. Meia holds a BA Hons in international relations and political science from Macquarie University, a master's in international relations and diplomacy from Leiden University in conjunction with the Clingendael Institute, and an MPhil in modern Chinese studies from the University of Oxford and Peking University.  Ms. Veerle Nouwens is the Executive Director for IISS–Asia. Veerle's expertise lies in Chinese foreign and defense policy, as well as the wider Indo-Pacific defense and security environment. She plays a key part in organizing the annual IISS Shangri-La Dialogue, provides intellectual direction for IISS research on the Asia-Pacific, and works to enhance the profile of IISS across the region and beyond. Prior to joining the IISS, Veerle worked as Senior Research Fellow at the Royal United Services Institute in London, where she established the Indo-Pacific Programme and focused on China and Indo-Pacific security, and as a policy officer in the political section of the European Union Delegation in Singapore. Veerle holds a BA Hons in international relations and political science from Macquarie University, a Master's in international relations and diplomacy from Leiden University in conjunction with the Clingendael Institute, an MPhil in modern Chinese studies from the University of Oxford and Peking University, and has attended a Mandarin semester programme at Tsinghua University. 

In Episode 425 of Hidden Forces, Demetri Kofinas speaks with geopolitical and intelligence analyst Dmitri Alperovitch about the new security dynamics and economic opportunities that arise from America's and Israel's attacks on Iran, the risks of strategic overreach, and whether U.S. actions do more to compel or deter a Chinese invasion of Taiwan. In the first hour, Alperovitch scrutinizes Israel's decision to initiate a series of targeted strikes against Iran's nuclear program, including their decision to assassinate key nuclear scientists and senior members of the IRGC. We discuss America's choice to participate in this campaign, Iran's response, potential additional repercussions from these attacks, political conditions within the Islamic Republic, and whether this latest round of violence might precipitate the collapse of the Iranian government or incite a coup against its supreme leader, Ali Khamenei. In the second hour, Alperovitch is asked whether he believes Trump's decision to involve the American military directly in Israel's war with Iran was in America's national interests or if it results in strategic overreach that will further undermine American security and the credibility of American global leadership. He and Kofinas discuss how this move is perceived by other regional players like Saudi Arabia and the Gulf States, how it alters the security dynamics in the Middle East, and how it affects Dmitri's assessment of the risks Washington faces in its broader Cold War with the People's Republic of China. Subscribe to our premium content—including our premium feed, episode transcripts, and Intelligence Reports—by visiting HiddenForces.io/subscribe. If you'd like to join the conversation and become a member of the Hidden Forces Genius community—with benefits like Q&A calls with guests, exclusive research and analysis, in-person events, and dinners—you can also sign up on our subscriber page at HiddenForces.io/subscribe. If you enjoyed today's episode of Hidden Forces, please support the show by: Subscribing on Apple Podcasts, YouTube, Spotify, Stitcher, SoundCloud, CastBox, or via our RSS Feed Writing us a review on Apple Podcasts & Spotify Joining our mailing list at https://hiddenforces.io/newsletter/ Producer & Host: Demetri Kofinas Editor & Engineer: Stylianos Nicolaou Subscribe and support the podcast at https://hiddenforces.io. Join the conversation on Facebook, Instagram, and Twitter at @hiddenforcespod Follow Demetri on Twitter at @Kofinas Episode Recorded on 06/23/2025

This episode of the Only Business podcast unpacks eight reasons why people are not referring your business and how to change that starting now. Learn how to build emotional connection, clarify your offer, create a referral system, and teach your audience exactly when and how to recommend you. If you're tired of being liked but not referred, this episode gives you the strategy to turn admiration into action.

In this powerful episode of The Self-Aware Leader, Jason Rigby welcomes Ingrid Hu Dahl, author of "Sun Shining on the Morning Snow" and a renowned leadership coach. Ingrid bravely shares her raw story of navigating crushing racism and an identity crisis as a mixed-race "Hapa" child, growing up between white New Jersey suburbs and Taipei. This conversation delves into how her unique upbringing shaped her understanding of belonging and resilience, offering profound insights for self-aware leadership. Ingrid illuminates the critical need for leaders to cultivate self-awareness and curiosity, especially when addressing issues of diversity, inclusion, and unconscious bias in the workplace. She discusses how her parents' interracial love story defied societal norms, influencing her own boldness and commitment to authenticity. The episode provides practical frameworks for leaders to unlearn ingrained behaviors, foster truly inclusive environments, and lead with empathy and heart rather than fear or ego. Listeners will discover how embracing one's full story, vulnerabilities and all, is not only a path to personal healing but also a powerful foundation for building trust and inspiring innovation within teams. Ingrid's "Phoenix" metaphor for transformation and her grandmother's fierce, heart-driven leadership serve as guiding lights, encouraging every leader to live boldly, connect authentically, and create spaces where everyone feels they belong. Detailed Episode Overview Have you ever felt like an outsider, even in your own community? In this compelling episode, "The Self-Aware Leader" dives deep into the heart of identity and resilient leadership with special guest Ingrid Hu Dahl. Ingrid, a trailblazing leadership coach and author, shares her journey as a mixed-race individual, revealing how contrasting cultural experiences—from navigating predominantly white New Jersey suburbs to embracing her Taiwanese heritage—profoundly shaped her self-aware leadership philosophy. This conversation unpacks the subtle, often unaddressed, forms of racism and bias that leaders must confront head-on to foster truly inclusive environments. Ingrid offers a practical framework for developing emotional intelligence for leaders, emphasizing the importance of self-reflection and challenging assumptions. Drawing from her own experiences, she provides actionable strategies for communicating across diverse styles, ensuring every team member feels heard and valued. Discover how to interrupt unconscious biases and slow down decision-making to cultivate a growth mindset. Jason and Ingrid also explore the power of vulnerability in leadership, highlighting how acknowledging imperfections and asking for help can transform team dynamics and accelerate business success. This episode is a must-listen for any leader seeking to enhance their empathetic leadership skills and build a culture of belonging. Key Learning Outcomes Discover how to lead with curiosity and empathy to build truly inclusive teams and challenge unconscious biases that hinder diversity. Learn the importance of self-awareness for leaders to understand how their own experiences and communication styles impact team dynamics. Master practical frameworks for breaking out of leadership "ruts" by actively listening and asking exploratory questions. Apply ancient wisdom principles to modern leadership challenges by cultivating "boldness with heart" and embracing vulnerability for stronger connections. Understand how to create environments where everyone feels they belong, regardless of background, by checking biases and fostering psychological safety. Resources Mentioned: Ingrid Hu Dahl's Official Website: Learn more about Ingrid's work and leadership coaching. https://www.ingridhudahl.com/ Sun Shining on the Morning Snow: Purchase Ingrid Hu Dahl's powerful memoir. https://www.sunshiningonmorningsnow.com/buy Ingrid Hu Dahl on Instagram: Connect with Ingrid on social media. https://www.instagram.com/ingridhudahl/?hl=en Episode Duration: 54:02 Publish Date: June 29, 2025 Host Information: Jason Rigby, The Self-Aware Leader Topic Categories: Self-Awareness Foundation, Resilient Leadership, Ancient Wisdom, Empathetic Leadership, Diversity & Inclusion, Emotional Intelligence Tags: Ingrid Hu Dahl, self-aware leadership, emotional intelligence, resilience, mixed-race identity, Hapa, leadership coaching, diversity, inclusion, unconscious bias, authentic leadership, ancient wisdom, empathetic leadership, crisis management, personal transformation, memoir, Sun Shining on the Morning Snow, Jason Rigby, conscious leadership, human-centered leadership, unlearning, vulnerability, belonging, Phoenix, family heritage. Transcript Availability: Full transcript available on the podcast website. Related Content Connections: Links to related episodes and Jason Rigby's community for deeper engagement.

Small businesses are more than just corner shops and local services. They're a driving force of economic growth, making up 90% of all businesses globally. As the global middle class rapidly expands, new opportunities are emerging for entrepreneurs to launch and grow small businesses. In this special edition podcast episode, the first of GZERO's “Local to global: The power of small business” series, host JJ Ramberg sits down with Shamina Singh, Founder and President of the Mastercard Center for Inclusive Growth, and Homi Kharas, Senior Fellow at Brookings Institution and Co-Founder of the World Data Lab. Together, they explore how the spending power of the global middle class is fueling small business growth from Taipei to Toronto and beyond. The discussion also highlights how digital inclusion, access to finance, and cybersecurity are essential for small business success.For more from this series, subscribe to “Local to global: The power of small business”, a new four-part podcast series from GZERO Media's Blue Circle Studios and Mastercard, where we'll look behind the curtain to explore the world of small businesses and why they're positioned to play an even bigger role in the future of the global economy. Look for the next episode of the GZERO World with Ian Bremmer podcast when we kick off our eighth season on July 5, 2025.Host: JJ RambergGuests: Homi Kharas, Shamina Singh Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published.

In this episode of The Grant Williams Podcast, I talk with with cybersecurity expert and author Dmitri Alperovitch to discuss his book, ‘World on the Brink,' and the escalating risk of conflict between China and Taiwan. Dmitri, who forecast Russia's invasion of Ukraine, draws striking parallels between Vladimir Putin's motivations and those now driving Xi Jinping's ambitions toward Taiwan, identifying five recurring factors—distorted historical narratives, belief in national destiny, security imperatives, personal ego, and the urgency of aging leaders—that are converging once again, this time in East Asia. The conversation examines concrete evidence of China's preparations for a potential invasion, from military training sites in Inner Mongolia replicating Taipei's streets, to sophisticated cyber campaigns targeting US infrastructure, and the construction of landing craft engineered for amphibious assaults and Dmitri argues that Taiwan's significance extends well beyond its semiconductor industry; control of the island would enable China to project power across the Pacific, fundamentally altering the regional balance and eroding U.S. influence. Dmitri calls for urgent strategic measures, including decoupling from China in critical technologies and forming a new economic alliance—TAME (Treaty of Allied Market Economies)—to help smaller nations withstand Chinese pressure, and he contends that Western responses to China are not provocations, but long-overdue reactions to years of aggression and intellectual property theft. With a potential invasion window between 2028 and 2032, the discussion underscores the need for robust deterrence, stronger alliances, and strategic competition to preserve stability in the region. Every episode of the Grant Williams podcast, including This Week In Doom, The End Game, The Super Terrific Happy Hour, The Narrative Game, Kaos Theory, Shifts Happen and The Hundred Year Pivot, is available to Copper, Silver and Gold Tier subscribers at my website www.Grant-Williams.com.  Copper Tier subscribers get access to all podcasts, while members of the Silver Tier get both the podcasts and my monthly newsletter, Things That Make You Go Hmmm… Gold Tier subscribers have access to my new series of in-depth video conversations, About Time.