Podcasts about Ying

Energie und Langlebigkeit in einem Molekül!?? Das klingt beinahe zu schön, um wahr zu sein. Hören sie in der aktuellen Folge der INUMED Sprechstunde ein Expertengespräch über einen körpereigenen Stoff, der beides vereint. Panmol® NADH, quasi das Ying und das Yang unseres Stoffwechsels. Worum es sich bei diesem Wunderwuzzi unter den Nährstoffen handelt, wo es vorkommt und wo der Haken an der ganzen Geschichte ist, wird ebenso erörtert, wie auch die Frage, wie dieser Haken zu lösen ist. Nämlich wieder einmal durch natürliche Pflanzenstoffe. Besonders gut zuhören sollten Menschen mit mentalen oder körperlichen Leistunsgschwächen, wie z.B. Chronic Fatigue und übermäßiger Ermüdbarkeit, Konzentrationsschwächen, Demenz, Depressionen, Leberschwäche, aber auch Sportler und Denkakrobaten, die Ihre Leistung verbessern möchten. Aber, mal ehrlich: Wer von uns hätte nicht gerne mehr Energie zur Verfügung?“ Zur Studie: https://www.inumed.com/files/pdf/240434_10-1055-a-2257-6314_Authors%20Offprint.pdf Rösler D, Fuchs N, Markolin G, Edler B, Sauer L, Studer M: Einfluss einer NADH-haltigen Nährstoffkombination auf Gedächtnis, Konzentration und Grundstimmung. OM & Ernährung 2008; 125: F20-F25 Zum Produkt: https://shop.nutribioticum.com/mangelausgleich/nadh_akg_creatin.html _ DAS MILIEU IST DER SCHLÜSSEL ZUR GESUNDHEIT _ www.INUMED.at www.NUTRIBIOTICUM.com _ Die Empfehlungen in diesem Podcast sind auf dem neuesten Stand der ernährungs- und sportmedizinischen Wissenschaft sie ersetzen jedoch im Krankheitsfall nicht die ärztliche Konsultation. Im Zweifelsfall konsultieren Sie bitte einen erfahrenen Ernährungs- oder Ganzheitsmediziner.

Ying und Yang ist bekannt, und von Konfuzius haben die meisten schon mal gehört. Doch ansonsten liegt der sogenannte Ferne Osten für viele im Westen weit weg. Der britische Philosoph Julian Baggini will dies ändern und erklärt, was der Okzident von aussereuropäischen Denktraditionen lernen kann. Er ist einer der bekanntesten Philosophen Grossbritanniens. Julian Baggini schreibt Bestseller, moderiert erfolgreich und amüsant am Fernsehen und weiss, was die Welt im Innersten zusammenhält. Doch die westliche Welt wurde ihm zu eng, und so begann er, Ostasien zu bereisen und zu erforschen, als philosophischer Journalist. Und nun versucht er, beide Welten zu verbinden. Er erklärt uns, warum individuelle Freiheit und gesellschaftliche Harmonie kein Widerspruch sind, warum Schönheit und Traurigkeit in Verbindung stehen, und weshalb die Menschen im Westen ihr starres Weltbild in Richtung eines veränderlichen und ganzheitlicheren Bildes erweitern sollten. Yves Bossart spricht mit Julian Baggini über Rituale, Karma und das Kirschblütenfest und beantwortet die Frage, ob es – frei nach Adorno – ein richtiges Essen im Falschen gibt.

Ying und Yang ist bekannt, und von Konfuzius haben die meisten schon mal gehört. Doch ansonsten liegt der sogenannte Ferne Osten für viele im Westen weit weg. Der britische Philosoph Julian Baggini will dies ändern und erklärt, was der Okzident von aussereuropäischen Denktraditionen lernen kann. Er ist einer der bekanntesten Philosophen Grossbritanniens. Julian Baggini schreibt Bestseller, moderiert erfolgreich und amüsant am Fernsehen und weiss, was die Welt im Innersten zusammenhält. Doch die westliche Welt wurde ihm zu eng, und so begann er, Ostasien zu bereisen und zu erforschen, als philosophischer Journalist. Und nun versucht er, beide Welten zu verbinden. Er erklärt uns, warum individuelle Freiheit und gesellschaftliche Harmonie kein Widerspruch sind, warum Schönheit und Traurigkeit in Verbindung stehen, und weshalb die Menschen im Westen ihr starres Weltbild in Richtung eines veränderlichen und ganzheitlicheren Bildes erweitern sollten. Yves Bossart spricht mit Julian Baggini über Rituale, Karma und das Kirschblütenfest und beantwortet die Frage, ob es – frei nach Adorno – ein richtiges Essen im Falschen gibt.

Weekly live stream covering D&D news.Streamed live on April 11, 2025.Chat with us in the Official Discord Server: https://discord.gg/AjvtemjSupport the channel at https://www.patreon.com/Roguewatson

As the economy reels from Trump's sweeping tariffs, Jon is joined by former Transportation Secretary Pete Buttigieg to examine the fallout. Together, they explore what Trump's levies mean for everyday Americans, discuss how to bridge the divide between politicians and the people they serve, and consider how a new generation of leadership might rebuild in the years ahead. Follow The Weekly Show with Jon Stewart on social media for more:  > YouTube: https://www.youtube.com/@weeklyshowpodcast > Instagram: https://www.instagram.com/weeklyshowpodcast > TikTok: https://tiktok.com/@weeklyshowpodcast  > X: https://x.com/weeklyshowpod   > BlueSky: https://bsky.app/profile/theweeklyshowpodcast.com Host/Executive Producer – Jon Stewart Executive Producer – James Dixon Executive Producer – Chris McShane Executive Producer – Caity Gray Lead Producer – Lauren Walker Producer – Brittany Mehmedovic  Video Editor & Engineer – Rob Vitolo Audio Editor & Engineer – Nicole Boyce Researcher & Associate Producer – Gillian Spear Music by Hansdle Hsu Learn more about your ad choices. Visit podcastchoices.com/adchoices

durée : 00:59:03 - Cautionneries - Par La Caution. Embarquement immédiat pour un voyage musical avec Nikkfurie.

Iedereen krijgt te maken met tegenslag. Ze kunnen groot zijn, zoals het overlijden van iemand, een scheiding of een faillissement, maar ook klein zijn, zoals een onvoldoende voor een toets, een verloren klant of het niet krijgen van wat je zou willen. Maar... hoe ga je daar nou gezond mee om? Er zijn namelijk best wat manieren om ermee om te gaan, maar niet alle zijn goed en maken dingen alleen maar erger. Welke dat zijn bespreken psychologen Thijs Launspach en Lennard Toma, hoef jij er niet meer over na te denken! Bronnen en ander lees- en luister- en kijkvoer:- Check de boeken van Seneca, een van de stoicijnen: https://www.boom.nl/auteur/110-363_Seneca - Het boek Anti-Fragiel van Nassim Nicholas Taleb- Check de speeldata van de theatershow van Dave: https://joeyendave.nl/speellijst/  - Lennard z'n verhaal en hoe hij omging met teelbalkanker: https://www.rtl.nl/lifestyle/artikel/5479254/slotakkoord-lennard-teelbalkanker-eerlijke-verhaal-grappen-harde- En een filmpje over hoe om te gaan met tegenslagen: https://www.youtube.com/watch?v=iF6jATLR8ZsNerd-literatuur:- Xu, D. U., Hua-Jun, B. O., Ying, L. I. U., & Jia-Jia, H. A. O. (2021). Successful experiences improve setback psychology of undergraduates with low perseverance. Journal of Psychological Science, 44(5), 1216.- Diestel, S. (2021). Building psychological resources and resilience after failure at work: A self-regulatory perspective on recovery and personality development in the face of setback experiences. In Work Life After Failure?: How Employees Bounce Back, Learn, and Recover from Work-Related Setbacks (pp. 21-39). Emerald Publishing Limited.- ten Broeke, P., & Adriaanse, M. A. (2023). Understanding the setback effect in everyday self‐regulation. European Journal of Social Psychology, 53(4), 703-719.- Krause, W. (2020). Being Happy in Spite of Setbacks. In The Routledge Companion to Happiness at Work (pp. 37-44). Routledge.- Akkermans, J. (2023). Handling work-related setbacks: a professional skills and abilities mindset analysis (Doctoral dissertation).

Fluent Fiction - Mandarin Chinese: Mei's Moment: Finding Her Voice on Qingming Festival Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2025-03-26-22-34-02-zh Story Transcript:Zh: 梅站在窗前，看着外面的花园。En: Mei stood by the window, looking out at the garden.Zh: 春天的阳光暖暖地洒在大地上，繁花盛开。En: The spring sunshine warmly spread over the land, with flowers blooming profusely.Zh: 这个大宅子坐落在乡村，周围是一片生机勃勃的田野。En: This large house was situated in the countryside, surrounded by vibrant fields.Zh: 今天是清明节，家族聚会的日子。En: Today was Qingming Festival, the day for the family gathering.Zh: 屋子里很热闹，亲戚们从四面八方赶来相聚。En: Inside the house, it was lively as relatives came from all directions to reunite.Zh: 梅抬头望去，墙上挂着祖先的画像，祭桌上摆满了供品，气氛庄重而神圣。En: Mei looked up, seeing the ancestral portraits hanging on the wall and the offering table filled with tributes, creating an atmosphere both solemn and sacred.Zh: 然而，梅心中却有些不安。En: However, Mei felt a bit uneasy in her heart.Zh: 她是家里的中间孩子，平日里总是忙着照顾家庭，处理事务。En: She was the middle child in the family, usually busy taking care of the family and handling affairs.Zh: 姐姐蕾既聪明又成功，总是吸引众人的注意。En: Her elder sister Lei was both smart and successful, always drawing everyone's attention.Zh: 而妹妹莹年纪最小，富有想象力，常常逗得大家哈哈大笑。En: Meanwhile, her younger sister Ying, being the youngest, was imaginative and often brought laughter to everyone.Zh: 相比之下，梅感到自己仿佛是块墙上不起眼的砖头。En: In contrast, Mei felt like an unnoticed brick on the wall.Zh: 梅看着家人围在一起谈笑风生，而她心里却想着该怎样让大家关注到她的努力和内心的渴望。En: Mei watched as her family gathered and chatted joyfully, while she pondered how to draw attention to her efforts and inner desires.Zh: 她想，如果她能在这个重要的节日里，为家族做点特别的事情，或许就能得到家人的赞赏。En: She thought that if she could do something special for the family on this important day, perhaps she would earn their appreciation.Zh: 梅走到堂屋中央，轻声招呼大家都来坐下。En: Mei walked to the center of the main hall and softly called everyone to sit down.Zh: 她提议大家一起举行一个特别的追思仪式，纪念他们的祖先。En: She proposed that they hold a special memorial ceremony together to honor their ancestors.Zh: 她准备了一个讲述家族历史的演讲，里面有许多她花时间查找和整理的信息。En: She had prepared a speech detailing the family history, filled with information she had spent time researching and organizing.Zh: 一开始，大家还在小声交谈，但随着梅生动地讲述家族的历史和祖辈们的故事，所有人都被她吸引住了。En: At first, people murmured quietly, but as Mei vividly recounted the family history and the stories of the ancestors, everyone became captivated by her.Zh: 她的每一句话都充满了情感，大家都看到了梅不同寻常的才华和努力。En: Every word she spoke was full of emotion, and everyone saw Mei's extraordinary talent and effort.Zh: 仪式结束后，大家纷纷称赞梅，而梅感到一种从未有过的温暖和幸福。En: After the ceremony, everyone praised Mei, and she felt a warmth and happiness she had never experienced before.Zh: 她明白，她的存在和她的贡献在这个大家庭中是独特的。En: She realized that her presence and contribution were unique in this big family.Zh: 这次的经历不仅让梅找回了自信，也让她找到了在家族中的位置。En: This experience not only helped Mei regain confidence but also find her place in the family.Zh: 最终，她意识到，自己的价值并不在于像姐姐或妹妹那样发光，而是在于她自己独特的光芒。En: Ultimately, she realized her value was not in shining like her sisters, but in her own unique brilliance.Zh: 她的家人也终于明白了这一点，向她投来了钦佩的目光。En: Her family also finally understood this, casting looks of admiration her way.Zh: 随着清明节的余韵散去，梅的心情沉静而快乐。En: As the afterglow of the Qingming Festival faded, Mei felt calm and joyful.Zh: 春风吹拂着花园，她微笑着看向窗外，心中已经满是新的希望。En: The spring wind brushed the garden, and she smiled as she looked out the window, her heart filled with new hope. Vocabulary Words:profusely: 繁花盛开ancestral: 祖先solemn: 庄重sacred: 神圣tribute: 供品uneasy: 不安contribution: 贡献unnoticed: 不起眼brick: 砖头pondered: 想着appreciation: 赞赏memorial: 追思ceremony: 仪式recounted: 讲述captivated: 吸引extraordinary: 不同寻常afterglow: 余韵blooming: 盛开vibrant: 生机勃勃reunite: 相聚portraits: 画像imaginative: 想象力chatted: 谈笑风生desires: 渴望honor: 纪念researched: 查找murmured: 小声交谈emotion: 情感praised: 称赞admiration: 钦佩

In this episode of the HR Leaders Podcast, we speak with Ying Li, Head of People Analytics at PepsiCo, exploring how organizations can leverage AI and data analytics to build powerful, skills-based organizations. Ying shares her unique journey from electrical engineering and data science into people analytics, highlighting practical methods to understand skill levels, measure skills agility, and strategically plan talent development.

On this episode, we chat with Ying Liu about the 2025 PSIA-AASI Women's Summit at Solitude, an event dedicated to skill development, inclusivity, and connection. Ying dives into this year's theme, “Connecting Through Power and Grace,” and how it applies to both skiing and teaching. We explore key takeaways from the event, including technical coaching insights, the role of telemark skiing in building a beginner's mindset, and how proper boot fitting can dramatically impact performance. Ying also shares her experience skiing with PSIA-AASI national team members, testing the latest ski technology like CARV sensors, and how a unique coaching analogy involving a rodeo clown helped improve lateral movement on snow. Plus, we discuss what's ahead for the 2026 Women's Summit in Steamboat and how the event continues to evolve to support and inspire female snowsports professionals. Don't miss this conversation packed with insights, inspiration, and a few unexpected surprises! Learn more by tuning in and at thesnowpros.org.

Na China ancestral, antes do surgimento do primeiro imperador, a nação divide-se em sete reinos. Qin (Daoming Chen), o soberano da província do norte, sofre constantes ameaças e tentativas de assassinato. O que mais o preocupa são três assassinos de elite, contratados por seus adversários políticos. Um dia um dos magistrados de seu reino entra no palácio carregando as armas dos assassinos, afirmando ter derrotado os três inimigos em combate após de ter passado mais de uma década estudando a técnica da espada.PIX: canalfilmesegames@gmail.comSiga o Filmes e Games:Instagram: filmesegames Facebook: filmesegames Twitter: filmesegamesSpotify: https://open.spotify.com/show/5KfJKthPodcast: https://anchor.fm/fgcastIntro - 0:00Hiro Yo Xixingue - 1:56O que é "Herói"? - 2:21Notas dos agregadores - 3:11Tirando o bode da sala - 3:44Os Culpados - 42:14Premiações - 51:45Bilheteria - 56:22Notas do Filmes e Games - 57:25Comentários da comunidade - 59:35Momento Locadora - 1:02:23"Revelação" do FGcast #371 - 1:33:50Locadora: Capitão América 4 - 1:35:25Encerramento - 1:43:54------------------------------Links para adquirir produtos relacionados - comprando por aqui, você ajuda o Filmes e Games a ganhar uma pequena comissão (sem pagar nada a mais por isso).

Send us a textJoin me as we uncover Ha Giang, Vietnam's breathtaking last frontier, with Ying, a local Black H'mong guide, who shares insider tips and cultural insights for an unforgettable adventure! If you have ever considered venturing into this part of the country, then this episode is one NOT to miss. ( Please forgive some of the local background sounds)Key takeaways:-The Ha Giang Loop time allowance – How long do you need for your adventure through stunning valleys, waterfalls, and cultural sites like Lung Cu and Ma Pi Leng Pass. Best Time to Visit – Times of the year, and days of the week. From September to November, the golden rice terraces are at their most beautiful. Cooler temperatures make this the ideal season for trekking and sightseeing. Find out more.Cultural Immersion – Ying talks us through engagement with ethnic communities; traditional farming practices, and the joy of a communal hotpot meal.Guided vs. Independent Travel – The Pros and cons. The value of a local guide in managing language, safety, navigation, and cultural understanding. Options exist for all fitness levels.Approx Time stamps: 00:00:00 –Where is Ha Giang 00:01:06 - Guest Introduction: Ying 00:01:26 - Ying's Background and Early Life 00:12:06 - Common Questions from Tourists 00:15:24 - Recommended Duration for Ha Giang Loop 00:16:27 - Modes of Transportation 00:18:50 - Licensing and Safety for Motorbike Riders 00:20:00 -Day 1 Itinerary 00:20:40 -Accommodation Options: Hotel vs. Homestay 00:22:10 - Day 2/3/4 Itinerary 00:26:18 - Suitable Travelers - Fitness and Health Considerations 00:29:17 - Packing Tips 00:35:06 -Local Cuisine 00:36:09 -Best Days of the week to Visit & why  Reach out to Ying's website: dragonmountainfamily.com Her WhatsApp number :+84338805995 The best way to connect with me is not via text, it is through the website www.whataboutvietnam.com website and email.Thank you for listening. Do not send TEXT as I am unable to respond directly. Please email whataboutvietnam@gmail.com Keep abreast of news on our social pages on FB, IG,LinkedIn and TikTokWe'd love a review on your podcast channel.Let me design your #customised #private tour of Vietnam - See our Travel ServicesDo you need a #Dental Procedure? Why not find out what's possible through our Dental and #Cosmetic Medical partner Worldwide Beauty Hospital. Mention #whataboutvietnam to receive 5% discount at Worldwide Beauty Hospital

Interview with Lon Shaver, President of Silvercorp Metals Inc.Our previous interview: https://www.cruxinvestor.com/posts/silvercorp-metals-tsxsvm-expanding-to-gold-copper-horizons-with-strategic-ecuador-acquisition-5973Recording date: 27th of February, 2025Silvercorp Metals, a profitable silver producer with established operations in China, is strategically diversifying into Ecuador to create a multi-jurisdictional mining platform. The company's President, Lon Shaver, recently outlined this growth strategy aimed at reducing the valuation discount typically applied to single-jurisdiction companies.Central to this expansion is the development of the EL DOMO mine in Ecuador, a fully permitted project with production targeted for the second half of 2026. With a capex of approximately $250 million, EL DOMO will be funded through a $175 million stream from Wheaton Precious Metals and Silvercorp's existing cash reserves of around $200 million. The project boasts a 10-year mine life with projected annual production of 11,000 tons of copper, 26,000 ounces of gold, 12,000 tons of zinc, and 490,000 ounces of silver, with an all-in sustaining cost of $1.26 per pound on a copper equivalent basis.Silvercorp sees significant operational synergies between EL DOMO and its Chinese operations, despite geological differences. "The tonnage and the throughput through the mill is very similar to the tonnage expansion that we just completed at Ying," notes Shaver, highlighting that both operations use similar flotation mill technologies to produce concentrates.The company is also reimagining the Condor project in Ecuador, shifting from the previous owners' concept of a large open-pit operation requiring $600 million in capital to a more discrete, high-grade underground operation. This approach aligns with Silvercorp's successful development strategy in China, focusing on incremental growth funded by operational cash flow.While expanding internationally, Silvercorp continues to strengthen its Chinese operations, recently increasing production capacity at its Ying mine from 2,500 to 4,000 tons per day. The company has also accumulated substantial ore stockpiles (145,000 tons), positioning it for continued strong performance even during traditionally slower periods.Shaver expressed optimism about metals markets, noting, "Our view for commodity prices is positive whether that be silver or others, just because of the fact that we see the economies continuing to grow, and there's not a lot of supply that we see coming on of the market."Near-term catalysts include completing the remaining two bid packages for EL DOMO construction, which will provide more concrete guidance on budget and timing for the project as Silvercorp works to build a diversified precious metals portfolio with a disciplined approach to growth and shareholder value.Learn more: https://www.cruxinvestor.com/companies/silvercorp-metalsSign up for Crux Investor: https://cruxinvestor.com

It's been a monumental month in the AI space, and we might already have signs of how the tech industry will unfold in 2025…From Chinese competitors and country-wide bans to agentic capabilities and a whole lot of tech-for-good stories, Jag, Jen, Jason and a returning Felina Tan take us through it all in this week's jam-packed Disconnected…This episode of Disconnected covers:The great ChatGPT vs DeepSeek face-offChatGLM and Ying taking us a step closer to agentic AIWho you should trust with your data with each new AI modelJag Sharma: https://www.linkedin.com/in/jagsharmahttps://www.instagram.com/jagsharma/Jen Campbell:https://www.linkedin.com/in/jennifer-m-campbell/Jason Kapadia:https://www.linkedin.com/in/jasonkapadia/https://www.instagram.com/jasonkapadia/Felina Tan:https://www.linkedin.com/in/felinagabrielletan/

A former dancer with the prestigious Royal New Zealand Ballet during the 2010s, William started making stage costumes and today he's currently at Whitecliffe studying Sustainable Fashion. Here, William opens up about his creative journey, including having dreams fall apart, ghosting friends and finding his way back to dance. Keep an eye out for his own label Jung-Ying: @__jungying ⁠Asian in Aotearoa Instagram⁠ ⁠Asian in Aotearoa Substack⁠ Hosted by Jenna Wee & Produced by Marc Conaco. Recorded at Big Fan in Tāmaki Makaurau, Auckland. This episode was made possible thanks to Foundation North and Creative New Zealand. ⁠asianinaotearoa.com⁠

Wheeler is going it alone this morning. Everyone else has flown the coup. how will he deal with the trade war Mr. Donald Trump has started? Find out this Morning at The Cabin.

CHAIN, 5min., USA Directed by Ling Han “Chain,” directed by Ling Han, is a 3D animated short film featuring charming characters and a sophisticated environment. It uniquely tells the story of the mantis catching the cicada, unaware of the oriole behind. https://www.chainanimationofficial.com/ https://www.facebook.com/profile.php?id=61559900085971 https://www.instagram.com/chain_animation_official/ Get to know filmmaker Ling Han: What motivated you to make this film? On my journey to becoming a professional animator, I'm always seeking opportunities to grow and improve my artistic skills. In 2021, I started wondering how I could challenge myself further. Directing seemed like the perfect way to step outside my comfort zone and push my creative boundaries. That's why I decided to make this film. . From the idea to the finished product, how long did it take for you to make this film? Creating this film took us over two and a half years. We continuously faced numerous challenges, including a limited budget and technical issues. These challenges significantly influenced the schedule of the project. How would you describe your film in two words!? I would describe my film as ‘challenging and rewarding.' It was challenging because completing the entire project was difficult. It was rewarding because our teammates all grew as better artists throughout the process. Subscribe to the podcast: https://twitter.com/wildsoundpod https://www.instagram.com/wildsoundpod/ https://www.facebook.com/wildsoundpod

"Happy Monday" d'Amélie de Bosredon : - « Balloonerism », le nouvel album posthume de Mac Miller - Miki, l'étoile montante de la pop française pour son nouveau single « Scorpion ascendant scorpion » - Omar Souleyman, la star syrienne du Chaâbi en concert à l'AB à Bruxelles le 31/01 - Kompromat, le groupe du duo français Rebeka Warrior et Vitalic pour leur très attendu nouvel album « PLДYING / PRДYING » Merci pour votre écoute Entrez sans Frapper c'est également en direct tous les jours de la semaine de 16h à 17h30 sur www.rtbf.be/lapremiere Retrouvez l'ensemble des épisodes et les émission en version intégrale (avec la musique donc) de Entrez sans Frapper sur notre plateforme Auvio.be : https://auvio.rtbf.be/emission/8521 Abonnez-vous également à la partie "Bagarre dans la discothèque" en suivant ce lien: https://audmns.com/HSfAmLDEt si vous avez apprécié ce podcast, n'hésitez pas à nous donner des étoiles ou des commentaires, cela nous aide à le faire connaître plus largement. Vous pourriez également apprécier ces autres podcasts issus de notre large catalogue: Le voyage du Stradivarius Feuermann : https://audmns.com/rxPHqEENoir Jaune Rouge - Belgian Crime Story : https://feeds.audiomeans.fr/feed/6e3f3e0e-6d9e-4da7-99d5-f8c0833912c5.xmlLes Petits Papiers : https://audmns.com/tHQpfAm Des rencontres inspirantes avec des artistes de tous horizons. Galaxie BD: https://audmns.com/nyJXESu Notre podcast hebdomadaire autour du 9ème art.Nom: Van Hamme, Profession: Scénariste : https://audmns.com/ZAoAJZF Notre série à propos du créateur de XII et Thorgal. Franquin par Franquin : https://audmns.com/NjMxxMg Ecoutez la voix du créateur de Gaston (et de tant d'autres...)

Fluent Fiction - Mandarin Chinese: Unlocking Ancient Mysteries: Secrets of the Temple of Heaven Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2024-12-28-23-34-01-zh Story Transcript:Zh: 早晨，天坛的雾气在冬日的阳光下轻轻蒸发。En: In the morning, the mist at the Temple of Heaven gently evaporates under the winter sun.Zh: 游客盈盈地走在光滑的地砖上。En: Visitors walk gracefully on the smooth stone tiles.Zh: 她停在坛内，一丝微风吹过，仿佛低语着过去的故事。En: Ying stops inside the altar, and a breeze whispers tales of the past.Zh: 突然，一封锁着的神秘木箱在松树下被发掘。En: Suddenly, a locked mysterious wooden box is discovered under a pine tree.Zh: 盈的眼睛立刻被吸引住。En: Ying's eyes are immediately drawn to it.Zh: 她想知道，这里面藏着什么秘密？En: She wonders what secrets are hidden inside.Zh: 一旁的导游连和历史学者玄对这个发现也感到惊讶。En: Nearby, the tour guide Lian and the historian Xuan are also surprised by this discovery.Zh: 连对此箱的历史没有太多信息，但玄认为这个箱子可能与过去的某个仪式有关。En: Lian has little information about the box's history, but Xuan believes it might be related to a past ceremony.Zh: "我们需要找到线索，这很重要，"盈说。En: "We need to find clues, it's important," Ying says.Zh: 于是，三人决定去查阅天坛的档案资料。En: So, the three decide to consult the archives of the Temple of Heaven.Zh: 连带他们走过幽深的走廊，墙壁上挂满了古老的画卷和碑文。En: Lian leads them through dim corridors, with ancient paintings and inscriptions lining the walls.Zh: 档案室藏着厚厚的文件和书籍，古老的书页有些已泛黄，透露出历史的重量。En: The archive room holds thick files and books, some ancient pages yellowed, whispering the weight of history.Zh: 盈翻阅书籍，连指出一些关键的碑文，而玄解释有关历史的背景。En: Ying flips through the books, Lian points out key inscriptions, while Xuan explains the historical context.Zh: 几小时后，他们找到了一个提到祭祀的大典及钥匙的描述。En: After hours, they find a description mentioning a grand sacrificial ceremony and a key.Zh: 描述指明钥匙藏于天坛的某个暗角。En: It indicates that the key is hidden in a hidden corner of the Temple of Heaven.Zh: 他们顺着指引，走到祭坛的下面。En: Following the guidance, they walk beneath the altar.Zh: 果然，在一块石板后，他们找到了一把古朴的青铜钥匙。En: Indeed, behind a stone slab, they find an ancient bronze key.Zh: "这就是它！En: "This is it!"Zh: "盈兴奋喊道。En: Ying exclaims excitedly.Zh: 抱着这份希望，他们小心地用钥匙打开了那个神秘的箱子。En: With hope in their arms, they carefully use the key to open the mysterious box.Zh: 箱盖缓缓打开，里面是一卷古老的羊皮纸，上面详细记载了天坛的祭祀礼仪。En: The lid slowly opens, revealing an ancient parchment inside, detailing the ritual ceremonies of the Temple of Heaven.Zh: 它保留了许多现在已经失传的仪式细节。En: It preserves many details of rituals now lost.Zh: 看到这一幕，盈感觉自己与历史接通了。En: Witnessing this, Ying feels a connection to history.Zh: 她明白过去虽已远去，但通过这些遗迹，古老的传统还在延续。En: She understands that although the past has gone, through these relics, ancient traditions continue.Zh: 三人看着彼此，知道他们不仅解开了一个谜团，还为后人保存了一片光辉的文化遗产。En: The three look at each other, knowing they have not only solved a mystery but also preserved a piece of glorious cultural heritage for future generations.Zh: 盈心中油然而生一种对历史和传统的深情与敬重。En: Ying feels a deep affection and respect for history and tradition.Zh: 她感受到，过去与现在从未真正分离，而是交织在一起，诉说着人类的故事。En: She senses that the past and present have never truly been separate but are intertwined, telling the human story. Vocabulary Words:mist: 雾气evaporates: 蒸发altar: 祭坛breeze: 微风whispers: 低语secrets: 秘密historian: 历史学者mysterious: 神秘consult: 查阅archives: 档案corridors: 走廊inscriptions: 碑文sacrificial: 祭祀parchment: 羊皮纸relief: 释然unlocked: 解锁ceremony: 典礼exclaims: 喊道affection: 深情intertwined: 交织heritage: 遗产glorious: 光辉traditions: 传统discovery: 发现dim: 幽深ancient: 古老yellowed: 泛黄context: 背景guidance: 指引ceremonies: 礼仪

Get your 2025 decluttering inspiration calendar: http://www.overcomecompulsivehoarding.co.uk/2025  Come to a Dehoarding Accountability Zoom Session: http://www.overcomecompulsivehoarding.co.uk/ticket Subscribe to the podcast: https://www.overcomecompulsivehoarding.co.uk/subscribe Podcast show notes, links and transcript: http://www.overcomecompulsivehoarding.co.uk/  In today's episode, I ask Dr Chia-Ying Chou about the complex interplay between grief and hoarding. We'll explore how emotions like grief can trigger hoarding behaviour, the role an inner critic plays, and learn all about compassion-focused therapy – including why it's so much easier to offer compassion than to receive it. The timing is perfect, coinciding with National Grief Awareness Week in the UK. Grief and Hoarding Discussion Chia-Ying Chou discusses the non-direct link between grief and hoarding based on clinical experience. Factors such as resistance to grieving and avoiding vulnerability exacerbate hoarding. Grief can trigger hoarding behaviour to maintain a sense of control and avoid confronting loss. Host shares personal experiences of how grief intensified their hoarding behaviour. Grief and Possessions People keep deceased loved ones' belongings as a way to preserve their existence. Chou mentions the ambiguous preservation of loved ones through items. Anxiety and resistance to facing grief make organising or discarding possessions difficult. Complex Emotions in Grief Host reflects on the unexpected emotions in grief, like anger or impatience. Therapeutic Strategies for Grief and Hoarding Chou compares addressing resistance to grief to preparing for a challenging hike. Emphasis on resourcing, preparing mentally, and gathering support. Suggestions for a "baby-step" approach to facing fears and emotions. Inner Critic and Grief Host discusses journey with their inner critic and finding new approaches to handle it. Chou highlights how internal criticism is often related to grief and missed opportunities. Compassion-Focused Therapy (CFT) Integration of Western psychotherapy and Buddhist philosophy for addressing psychological challenges. Difficulty in receiving or directing compassion towards oneself. Connections Between Hoarding, Trauma, and Grief Patterns of loss, either tangible or intangible, among those who hoard. Episode ties with National Grief Awareness Week in the UK. Cultivating Compassionate Companions Idea of cultivating an imaginary compassionate companion for emotional support. Emphasis on emotions being a part of persona, not the true self. Emotions and Grief Management Pacing yourself. Chou recommends creating space for emotions to surface naturally. Encouragement to welcome emotions as a creative process in internal space. Examine fears and take small steps to engage with feelings.

Fluent Fiction - Mandarin Chinese: Winter Whispers: Mystery and Harmony at the Gugong Find the full episode transcript, vocabulary words, and more:fluentfiction.com/zh/episode/2024-12-07-23-34-02-zh Story Transcript:Zh: 故宫，冬天，白雪轻轻覆盖着宽广的庭院，四周装饰着色彩绚丽的春节灯笼。En: The Gugong, in winter, has a gentle layer of white snow covering its wide courtyards, decorated all around with the colorful lanterns of the Chunjie festival.Zh: 繁忙的光景中，博物馆内正在进行新年的准备。En: Amidst the bustling scenes, preparations for the New Year are underway inside the museum.Zh: 梁，一个热衷于保护历史的策展人，正在忙于即将开展的春节展览。En: Liang, a curator passionate about preserving history, is busy organizing the upcoming Chunjie exhibition.Zh: 突然，梁发现了一件不妙的事情。En: Suddenly, Liang discovers something alarming.Zh: 展览中的一件珍贵文物不见了。En: A precious artifact from the exhibition is missing.Zh: 梁感到非常惊慌不安。En: Liang feels very anxious and uneasy.Zh: 这个展览对博物馆的声誉非常重要，如果没有了这件文物，后果不堪设想。En: This exhibition is crucial for the museum's reputation, and without this artifact, the consequences would be unimaginable.Zh: 梁决定不声张，自行调查。En: Liang decides to investigate quietly on his own.Zh: 他知道明，博物馆的保安，也像他一样爱好考古。En: He knows Ming, the museum's security guard, who also shares a love for archaeology.Zh: 梁径直找到了明。En: Liang goes straight to Ming.Zh: “明，你手上有最近的监控录像吗？”梁小声问。En: "Do you have the latest surveillance footage?" Liang quietly asks.Zh: 明点了点头，说道：“有的，我刚刚还在看。我帮你一起找吧。”En: Ming nods and says, "Yes, I was just reviewing it. Let me help you look."Zh: 两人一起查看录像，但没有发现可疑之处。En: The two of them review the footage together but find nothing suspicious.Zh: 就在这时，迎面走来的迎，一个喜欢历史的小访客，兴奋地说道：“梁叔叔，我好像看到那件文物放在别的地方。”En: Just then, Ying, a young visitor who enjoys history, excitedly approaches, saying, "Liang Uncle, I think I saw the artifact placed somewhere else."Zh: 梁和明对视一眼，心里都有些希望。En: Liang and Ming exchange a hopeful glance.Zh: “真的吗？你在哪里看到的？”梁问道，声音里充满期待。En: "Really? Where did you see it?" Liang asks, his voice full of anticipation.Zh: 迎回忆道：“我记得在那个角落，有个箱子上面好像有它。”En: Ying recalls, "I remember seeing it on a box in that corner."Zh: 梁立刻和明一同前往对应的角落。En: Liang immediately goes with Ming to the corresponding corner.Zh: 果然，那件遗失的文物静静地躺在角落的箱子里。En: Sure enough, the missing artifact is quietly lying on a box in the corner.Zh: 梁松了一口气，满心欢喜。En: Liang lets out a sigh of relief, filled with joy.Zh: “原来是误放了，还好迎提醒了我们。”梁感慨道。En: "It was misplaced after all, good thing Ying reminded us," Liang remarks with gratitude.Zh: 随着文物的妥善归位，博物馆恢复了往日的宁静。En: With the artifact properly restored, the museum returned to its usual tranquility.Zh: 春节庆典如期举行，一切都变得圆满和谐。En: The Chunjie celebration proceeded as planned, and everything became complete and harmonious.Zh: 梁意识到，合作和信任他人是多么重要。En: Liang realized how important cooperation and trust in others are.Zh: 尽管他喜爱历史和文物，但有了其他人的帮助，一切都变得更简单。En: Although he loves history and artifacts, with the help of others, everything became much easier.Zh: 新年来了，鞭炮声和欢笑声充满了故宫的每个角落。En: The new year arrived, with the sound of firecrackers and laughter filling every corner of the Gugong.Zh: 梁、明和迎脸上都带着舒心的微笑。En: Liang, Ming, and Ying all wore contented smiles on their faces.Zh: 这个冬天，他们不仅保护了文物，还建立了更深刻的友谊。En: This winter, they not only protected the artifact but also built a deeper friendship. Vocabulary Words:gentle: 轻轻courtyards: 庭院colorful: 色彩绚丽bustling: 繁忙curator: 策展人passionate: 热衷preserving: 保护exhibition: 展览alarming: 不妙precious: 珍贵artifact: 文物anxious: 惊慌reputation: 声誉consequences: 后果unimaginable: 不堪设想investigate: 调查surveillance: 监控footage: 录像suspicious: 可疑visitor: 访客anticipated: 期待corresponding: 对应corner: 角落relief: 松了一口气gratitude: 感慨tranquility: 宁静harmonious: 和谐cooperation: 合作trust: 信任firecrackers: 鞭炮

Welcome back for the next journey of The Family Express Podcast with Kathryn de Bruin, LMFT and Ronda Evans, LMFT where our destination is resilient and connected families. Our guest speaker is Dr. Tat-Ying, a dual family medical physician and EFFT family therapist located in Toronto, Canada, who specializes in groups.All Aboard !Thank you for listening! Kathryn de Bruin is an ICEEFT Certified EFT Trainer. Kathryn and Ronda are both licensed marriage and family therapists, EFT supervisors and therapists, and AAMFT Approved Supervisors.You can follow Kathryn de BruinFacebook  YouTube  IG  Yelp  Google +  Twitter  WebsiteYou can follow Ronda EvansFacebook   Facebook   IG  LinkedIn   Website You can connect with Dr. Tat-Ting

We continue our Best Books of 2024 coverage with a special episode dedicated to PICTURE BOOKS. First, Ying Chang Compestine joins us to discuss Growing Up Under a Red Flag, illustrated by Xinmei Liu (Rocky Pond Books/Penguin, May 7), one of Kirkus' Best Picture Books of 2024. Kirkus“A vivid glimpse into a childhood under communist rule.” Then young readers' editor Mahnaz Dar highlights more of the year's best picture books.

"What practical challenges arise in measuring physical activity among children?" In this final part of the episode, Dr. Olli Tikkanen and Dr. Ying Gao discuss the real-world challenges faced when collecting physical activity data from children using devices like Fibion. Dr. Gao shares her experience with device placement, tape sensitivity, and device retention, revealing that around 15-20% of devices were lost in initial studies due to a lack of clear instructions for parents and children. By enhancing communication with parents and teachers and providing practical solutions like custom-made pockets in shorts, Dr. Gao's team significantly improved data retention and device return rates. Dr. Gao also highlights how varying humidity levels in different locations impact device attachment and shares strategies, such as using specific tapes and providing flexible study schedules, to make participation easier for children. This episode is essential for researchers looking to understand the logistical considerations in physical activity data collection among young participants. ____________________________ This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- Learn more about Fibion Flash - a versatile customizable tool with HRV and accelerometry capability.  --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research. --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher  Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen  Follow Fibion on Twitter https://twitter.com/fibion  Check our YouTube channel: https://www.youtube.com/@PA_Researcher       

"How does physical activity differ between children with different body weights?" In this third part of the episode, Dr. Olli Tikkanen and Dr. Ying Gao discuss her findings on physical activity patterns in children, focusing on differences between overweight and normal-weight groups. Dr. Gao explains how accelerometer and EMG data revealed that overweight children show higher muscle activity even when standing, which may contribute to their tendency for more sedentary behavior, as physical tasks can be more exhausting for them. Her research highlights the potential role of physical demands in shaping activity levels among children. Dr. Gao also shares insights from her 7-day measurement study of over 400 children, examining how physical activity, sedentary behavior, and sleep patterns impact body weight and overall health. The episode touches on future research directions and how these findings could inform interventions to promote healthy behaviors in school-aged children. ____________________________________ This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- Learn more about Fibion Flash - a versatile customizable tool with HRV and accelerometry capability.  --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research. --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher  Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen  Follow Fibion on Twitter https://twitter.com/fibion  Check our YouTube channel: https://www.youtube.com/@PA_Researcher       

So oder so? Ying und Yang? Die Kugel rollt wieder! Ihr ruft einfach an - und der Zufall hat für euch ein Thema ausgewählt. Darüber spricht Ingmar Stadelmann dann mit euch. Wird witzig. Vielleicht auch ernst. Oder persönlich. Zufall halt. Unser Podcast-Tipp "OKF – Ortskontrollfahrt": https://1.ard.de/okf-ortskontrollfahrt

"How do video and accelerometer data together improve activity tracking in children?" In this second part of the episode, Dr. Olli Tikkanen and Dr. Ying Gao discuss her innovative study combining accelerometer and video observation data to improve activity classification in children. Dr. Gao explains how she adapted wearable cameras and accelerometers, including Fibion devices, to measure activity across various body locations such as the back, chest, and wrist. This setup allowed her team to validate physical activity and sedentary behavior in school-aged children, accurately differentiating between sitting, standing, and moving. Dr. Gao also describes the meticulous video coding process, which involved tracking leg movements without capturing faces to maintain privacy. Her research highlights the challenges and benefits of integrating video and accelerometry to obtain reliable data on children's movement, especially in free-living environments. This episode offers insights for researchers interested in advanced methods for studying physical activity and sedentary behavior in children. ___________ This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behaviour and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- Learn more about Fibion Flash - a versatile customizable tool with HRV and accelerometry capability.  --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research. --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher  Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen  Follow Fibion on Twitter https://twitter.com/fibion  Check our YouTube channel: https://www.youtube.com/@PA_Researcher       

"Can we accurately measure children's physical activity with just one device?" In this insightful episode, Dr. Olli Tikkanen speaks with Dr. Ying Gao about her research on sedentary behavior and physical activity in children, combining accelerometer and EMG data to improve accuracy. Dr. Gao explains the challenges of using only accelerometers, as they capture movement but not muscle contractions, which are essential for understanding true physical activity. She describes her study on setting a reliable threshold to differentiate between sitting, light movement, and active play in children, aiming to create a standardized approach for assessing activity levels. Dr. Gao also discusses her findings on how combining EMG with accelerometer data provides a clearer picture of muscle activity, especially for distinguishing between sedentary and active behaviors in school-aged children. This episode sheds light on new methods in physical activity measurement that could improve research on children's health and activity habits. __________________ This podcast episode is sponsored by Fibion Inc. | Better Sleep, Sedentary Behavior and Physical Activity Research with Less Hassle --- Collect, store and manage SB and PA data easily and remotely - Discover ground-breaking Fibion SENS --- Learn more about Fibion Flash - a versatile customizable tool with HRV and accelerometry capability.  --- SB and PA measurements, analysis, and feedback made easy.  Learn more about Fibion Research. --- Learn more about Fibion Sleep and Fibion Circadian Rhythm Solutions. --- Fibion Kids - Activity tracking designed for children. --- Explore our Wearables,  Experience sampling method (ESM), Sleep,  Heart rate variability (HRV), Sedentary Behavior and Physical Activity article collections for insights on related articles. --- Refer to our article "Physical Activity and Sedentary Behavior Measurements" for an exploration of active and sedentary lifestyle assessment methods. --- Learn about actigraphy in our guide: Exploring Actigraphy in Scientific Research: A Comprehensive Guide. --- Gain foundational ESM insights with "Introduction to Experience Sampling Method (ESM)" for a comprehensive overview. --- Explore accelerometer use in health research with our article "Measuring Physical Activity and Sedentary Behavior with Accelerometers ". --- For an introduction to the fundamental aspects of HRV, consider revisiting our Ultimate Guide to Heart Rate Variability. --- Follow the podcast on Twitter https://twitter.com/PA_Researcher  Follow host Dr Olli Tikkanen on Twitter https://twitter.com/ollitikkanen  Follow Fibion on Twitter https://twitter.com/fibion  Check our YouTube channel: https://www.youtube.com/@PA_Researcher     

How do we proactively serve Jesus in retirement? How might we motivate our older church members to prioritise the work of the gospel? Mike Raiter said on The Pastor's Heart a little while back that retirement needs rethinking to avoid the sin of the sluggard. Mike Raiter said downing tools at 65 and spending 20 or 30 years resting is a 19th century concept and is not Christian. But what is the alternative? Ying Yee is lead English Pastor of Chinese Christian Church Milsons Point in Sydney. Carmel Vincent serves as training and events coordinator at the Ministry Training Strategy. And Ian Carmichael was CEO of Sydney's Matthias Media. Assistant Minister role at Village Church Annandale, SydneyVillage Church is looking for an assistant minister. Perhaps it's you or you know someone? Could you lead our mission outreach and the ministry aspect. Plus help set vision and in preaching and pastoral care. For more info or to have a coffee email dominic@villagechurch.sydney The Church Cohttp://www.thechurchco.com is an excellent website and app platform built specifically for churches. Financially Support The Pastor's Heart via our new tax deductible fundPlease financially support The Pastor's Heart via our new tax deductible giving page.Support the show--Become a regular financial supporter of The Pastor's Heart via Patreon.

¿A qué se debe el gran impacto público que una película de distribución independiente, como La sustancia, ha tenido en un público masivo? La respuesta automática sería el tema al centro del filme: las exigencias físicas y estéticas que demanda una sociedad a todos sus integrantes, no sólo a los jóvenes y adultos sino también a quienes se vuelven mayores y ya no pueden competir en profesiones que demandan belleza estándar y cero imperfecciones (como la de actriz de cine). Sin embargo, lo más interesante de La sustancia no está ahí. Esas preocupaciones ya han sido tratadas de mejor manera en otras partes, incluyendo por cierto Reality +, notable corto de la propia Coralie Fargeat. La clave del filme y su notoriedad parece residir en la particular estructura que escogió para contar su historia: la del "fairy tale", el clásico cuento de hadas con magia, reglas, prohibiciones, princesa y bruja incluidas; sólo que en este caso, ambas están contenidas en el mismo envase. "Recuerden: ustedes son una". Ying y Yang, juventud y madurez, belleza y fealdad, bien y mal. Todo parte de la misma cosa. De eso y más se habla en este podcast.

https://notesonfilm1.com/2024/11/08/pofcrit-podcast-2024-ying-qi-on-tangled-nathan-greno-byron-howard-2011/ 'In this episode, I'm diving into the world of Disney's Tangled and exploring how it redefined what it means to be a princess, and the stereotypes that revolve around it. I'll be talking about Rapunzel's incredible agency, her journey from the tower to the floating lights, and how she takes charge of her own story—a big leap from traditional princess roles. I also delve into the music that makes Tangled so unforgettable, and how it creates meaning and emotion. Join me as we unravel how Tangled brought a fresh, inspiring twist to the Disney princess legacy'. Ying Qi

‘Too thin cannot, too fat also cannot?!' In this episode of Hush, we're diving into the complicated realities women face when it comes to weight—whether you're losing it or gaining it, the unsolicited comments never seem to stop. From backhanded compliments to outright body shaming, we'll talk about how these pressures to fit certain body standards mess with not just our physical health, but also our mental well-being. We'll also break down 'pretty privilege'—how society's narrow beauty standards can affect the way we're treated, the opportunities we get, and how we end up feeling about ourselves. Tune in to join the conversation and discover how we can empower ourselves beyond these societal expectations! Watch this episode on YouTube: https://youtu.be/SzpCdJUFlr4 Watch The Blockbusters on meWATCH: https://www.mewatch.sg/show/The-Blockbusters-497556 See omnystudio.com/listener for privacy information.

Apologies for lower audio quality; we lost recordings and had to use backup tracks. Our guests today are Anastasios Angelopoulos and Wei-Lin Chiang, leads of Chatbot Arena, fka LMSYS, the crowdsourced AI evaluation platform developed by the LMSys student club at Berkeley, which became the de facto standard for comparing language models. Arena ELO is often more cited than MMLU scores to many folks, and they have attracted >1,000,000 people to cast votes since its launch, leading top model trainers to cite them over their own formal academic benchmarks:The Limits of Static BenchmarksWe've done two benchmarks episodes: Benchmarks 101 and Benchmarks 201. One issue we've always brought up with static benchmarks is that 1) many are getting saturated, with models scoring almost perfectly on them 2) they often don't reflect production use cases, making it hard for developers and users to use them as guidance. The fundamental challenge in AI evaluation isn't technical - it's philosophical. How do you measure something that increasingly resembles human intelligence? Rather than trying to define intelligence upfront, Arena let users interact naturally with models and collect comparative feedback. It's messy and subjective, but that's precisely the point - it captures the full spectrum of what people actually care about when using AI.The Pareto Frontier of Cost vs IntelligenceBecause the Elo scores are remarkably stable over time, we can put all the chat models on a map against their respective cost to gain a view of at least 3 orders of magnitude of model sizes/costs and observe the remarkable shift in intelligence per dollar over the past year:This frontier stood remarkably firm through the recent releases of o1-preview and price cuts of Gemini 1.5:The Statistics of SubjectivityIn our Benchmarks 201 episode, Clémentine Fourrier from HuggingFace thought this design choice was one of shortcomings of arenas: they aren't reproducible. You don't know who ranked what and what exactly the outcome was at the time of ranking. That same person might rank the same pair of outputs differently on a different day, or might ask harder questions to better models compared to smaller ones, making it imbalanced. Another argument that people have brought up is confirmation bias. We know humans prefer longer responses and are swayed by formatting - Rob Mulla from Dreadnode had found some interesting data on this in May:The approach LMArena is taking is to use logistic regression to decompose human preferences into constituent factors. As Anastasios explains: "We can say what components of style contribute to human preference and how they contribute." By adding these style components as parameters, they can mathematically "suck out" their influence and isolate the core model capabilities.This extends beyond just style - they can control for any measurable factor: "What if I want to look at the cost adjusted performance? Parameter count? We can ex post facto measure that." This is one of the most interesting things about Arena: You have a data generation engine which you can clean and turn into leaderboards later. If you wanted to create a leaderboard for poetry writing, you could get existing data from Arena, normalize it by identifying these style components. Whether or not it's possible to really understand WHAT bias the voters have, that's a different question.Private EvalsOne of the most delicate challenges LMSYS faces is maintaining trust while collaborating with AI labs. The concern is that labs could game the system by testing multiple variants privately and only releasing the best performer. This was brought up when 4o-mini released and it ranked as the second best model on the leaderboard:But this fear misunderstands how Arena works. Unlike static benchmarks where selection bias is a major issue, Arena's live nature means any initial bias gets washed out by ongoing evaluation. As Anastasios explains: "In the long run, there's way more fresh data than there is data that was used to compare these five models." The other big question is WHAT model is actually being tested; as people often talk about on X / Discord, the same endpoint will randomly feel “nerfed” like it happened for “Claude European summer” and corresponding conspiracy theories:It's hard to keep track of these performance changes in Arena as these changes (if real…?) are not observable.The Future of EvaluationThe team's latest work on RouteLLM points to an interesting future where evaluation becomes more granular and task-specific. But they maintain that even simple routing strategies can be powerful - like directing complex queries to larger models while handling simple tasks with smaller ones.Arena is now going to expand beyond text into multimodal evaluation and specialized domains like code execution and red teaming. But their core insight remains: the best way to evaluate intelligence isn't to simplify it into metrics, but to embrace its complexity and find rigorous ways to analyze it. To go after this vision, they are spinning out Arena from LMSys, which will stay as an academia-driven group at Berkeley.Full Video PodcastChapters* 00:00:00 - Introductions* 00:01:16 - Origin and development of Chatbot Arena* 00:05:41 - Static benchmarks vs. Arenas* 00:09:03 - Community building* 00:13:32 - Biases in human preference evaluation* 00:18:27 - Style Control and Model Categories* 00:26:06 - Impact of o1* 00:29:15 - Collaborating with AI labs* 00:34:51 - RouteLLM and router models* 00:38:09 - Future of LMSys / ArenaShow Notes* Anastasios Angelopoulos* Anastasios' NeurIPS Paper Conformal Risk Control* Wei-Lin Chiang* Chatbot Arena* LMSys* MTBench* ShareGPT dataset* Stanford's Alpaca project* LLMRouter* E2B* DreadnodeTranscriptAlessio [00:00:00]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, Partner and CTO in Residence at Decibel Partners, and I'm joined by my co-host Swyx, founder of Smol.ai.Swyx [00:00:14]: Hey, and today we're very happy and excited to welcome Anastasios and Wei Lin from LMSys. Welcome guys.Wei Lin [00:00:21]: Hey, how's it going? Nice to see you.Anastasios [00:00:23]: Thanks for having us.Swyx [00:00:24]: Anastasios, I actually saw you, I think at last year's NeurIPS. You were presenting a paper, which I don't really super understand, but it was some theory paper about how your method was very dominating over other sort of search methods. I don't remember what it was, but I remember that you were a very confident speaker.Anastasios [00:00:40]: Oh, I totally remember you. Didn't ever connect that, but yes, that's definitely true. Yeah. Nice to see you again.Swyx [00:00:46]: Yeah. I was frantically looking for the name of your paper and I couldn't find it. Basically I had to cut it because I didn't understand it.Anastasios [00:00:51]: Is this conformal PID control or was this the online control?Wei Lin [00:00:55]: Blast from the past, man.Swyx [00:00:57]: Blast from the past. It's always interesting how NeurIPS and all these academic conferences are sort of six months behind what people are actually doing, but conformal risk control, I would recommend people check it out. I have the recording. I just never published it just because I was like, I don't understand this enough to explain it.Anastasios [00:01:14]: People won't be interested.Wei Lin [00:01:15]: It's all good.Swyx [00:01:16]: But ELO scores, ELO scores are very easy to understand. You guys are responsible for the biggest revolution in language model benchmarking in the last few years. Maybe you guys want to introduce yourselves and maybe tell a little bit of the brief history of LMSysWei Lin [00:01:32]: Hey, I'm Wei Lin. I'm a fifth year PhD student at UC Berkeley, working on Chatbot Arena these days, doing crowdsourcing AI benchmarking.Anastasios [00:01:43]: I'm Anastasios. I'm a sixth year PhD student here at Berkeley. I did most of my PhD on like theoretical statistics and sort of foundations of model evaluation and testing. And now I'm working 150% on this Chatbot Arena stuff. It's great.Alessio [00:02:00]: And what was the origin of it? How did you come up with the idea? How did you get people to buy in? And then maybe what were one or two of the pivotal moments early on that kind of made it the standard for these things?Wei Lin [00:02:12]: Yeah, yeah. Chatbot Arena project was started last year in April, May, around that. Before that, we were basically experimenting in a lab how to fine tune a chatbot open source based on the Llama 1 model that I released. At that time, Lama 1 was like a base model and people didn't really know how to fine tune it. So we were doing some explorations. We were inspired by Stanford's Alpaca project. So we basically, yeah, grow a data set from the internet, which is called ShareGPT data set, which is like a dialogue data set between user and chat GPT conversation. It turns out to be like pretty high quality data, dialogue data. So we fine tune on it and then we train it and release the model called V2. And people were very excited about it because it kind of like demonstrate open way model can reach this conversation capability similar to chat GPT. And then we basically release the model with and also build a demo website for the model. People were very excited about it. But during the development, the biggest challenge to us at the time was like, how do we even evaluate it? How do we even argue this model we trained is better than others? And then what's the gap between this open source model that other proprietary offering? At that time, it was like GPT-4 was just announced and it's like Cloud One. What's the difference between them? And then after that, like every week, there's a new model being fine tuned, released. So even until still now, right? And then we have that demo website for V2 now. And then we thought like, okay, maybe we can add a few more of the model as well, like API model as well. And then we quickly realized that people need a tool to compare between different models. So we have like a side by side UI implemented on the website to that people choose, you know, compare. And we quickly realized that maybe we can do something like, like a battle on top of ECLMs, like just anonymize it, anonymize the identity, and that people vote which one is better. So the community decides which one is better, not us, not us arguing, you know, our model is better or what. And that turns out to be like, people are very excited about this idea. And then we tweet, we launch, and that's, yeah, that's April, May. And then it was like first two, three weeks, like just a few hundred thousand views tweet on our launch tweets. And then we have regularly double update weekly, beginning at a time, adding new model GPT-4 as well. So it was like, that was the, you know, the initial.Anastasios [00:04:58]: Another pivotal moment, just to jump in, would be private models, like the GPT, I'm a little,Wei Lin [00:05:04]: I'm a little chatty. That was this year. That was this year.Anastasios [00:05:07]: Huge.Wei Lin [00:05:08]: That was also huge.Alessio [00:05:09]: In the beginning, I saw the initial release was May 3rd of the beta board. On April 6, we did a benchmarks 101 episode for a podcast, just kind of talking about, you know, how so much of the data is like in the pre-training corpus and blah, blah, blah. And like the benchmarks are really not what we need to evaluate whether or not a model is good. Why did you not make a benchmark? Maybe at the time, you know, it was just like, Hey, let's just put together a whole bunch of data again, run a, make a score that seems much easier than coming out with a whole website where like users need to vote. Any thoughts behind that?Wei Lin [00:05:41]: I think it's more like fundamentally, we don't know how to automate this kind of benchmarks when it's more like, you know, conversational, multi-turn, and more open-ended task that may not come with a ground truth. So let's say if you ask a model to help you write an email for you for whatever purpose, there's no ground truth. How do you score them? Or write a story or a creative story or many other things like how we use ChatterBee these days. It's more open-ended. You know, we need human in the loop to give us feedback, which one is better. And I think nuance here is like, sometimes it's also hard for human to give the absolute rating. So that's why we have this kind of pairwise comparison, easier for people to choose which one is better. So from that, we use these pairwise comparison, those to calculate the leaderboard. Yeah. You can add more about this methodology.Anastasios [00:06:40]: Yeah. I think the point is that, and you guys probably also talked about this at some point, but static benchmarks are intrinsically, to some extent, unable to measure generative model performance. And the reason is because you cannot pre-annotate all the outputs of a generative model. You change the model, it's like the distribution of your data is changing. New labels to deal with that. New labels are great automated labeling, right? Which is why people are pursuing both. And yeah, static benchmarks, they allow you to zoom in to particular types of information like factuality, historical facts. We can build the best benchmark of historical facts, and we will then know that the model is great at historical facts. But ultimately, that's not the only axis, right? And we can build 50 of them, and we can evaluate 50 axes. But it's just so, the problem of generative model evaluation is just so expansive, and it's so subjective, that it's just maybe non-intrinsically impossible, but at least we don't see a way. We didn't see a way of encoding that into a fixed benchmark.Wei Lin [00:07:47]: But on the other hand, I think there's a challenge where this kind of online dynamic benchmark is more expensive than static benchmark, offline benchmark, where people still need it. Like when they build models, they need static benchmark to track where they are.Anastasios [00:08:03]: It's not like our benchmark is uniformly better than all other benchmarks, right? It just measures a different kind of performance that has proved to be useful.Swyx [00:08:14]: You guys also published MTBench as well, which is a static version, let's say, of Chatbot Arena, right? That people can actually use in their development of models.Wei Lin [00:08:25]: Right. I think one of the reasons we still do this static benchmark, we still wanted to explore, experiment whether we can automate this, because people, eventually, model developers need it to fast iterate their model. So that's why we explored LM as a judge, and ArenaHard, trying to filter, select high-quality data we collected from Chatbot Arena, the high-quality subset, and use that as a question and then automate the judge pipeline, so that people can quickly get high-quality signal, benchmark signals, using this online benchmark.Swyx [00:09:03]: As a community builder, I'm curious about just the initial early days. Obviously when you offer effectively free A-B testing inference for people, people will come and use your arena. What do you think were the key unlocks for you? Was it funding for this arena? Was it marketing? When people came in, do you see a noticeable skew in the data? Which obviously now you have enough data sets, you can separate things out, like coding and hard prompts, but in the early days, it was just all sorts of things.Anastasios [00:09:31]: Yeah, maybe one thing to establish at first is that our philosophy has always been to maximize organic use. I think that really does speak to your point, which is, yeah, why do people come? They came to use free LLM inference, right? And also, a lot of users just come to the website to use direct chat, because you can chat with the model for free. And then you could think about it like, hey, let's just be kind of like more on the selfish or conservative or protectionist side and say, no, we're only giving credits for people that battle or so on and so forth. Strategy wouldn't work, right? Because what we're trying to build is like a big funnel, a big funnel that can direct people. And some people are passionate and interested and they battle. And yes, the distribution of the people that do that is different. It's like, as you're pointing out, it's like, that's not as they're enthusiastic.Wei Lin [00:10:24]: They're early adopters of this technology.Anastasios [00:10:27]: Or they like games, you know, people like this. And we've run a couple of surveys that indicate this as well, of our user base.Wei Lin [00:10:36]: We do see a lot of developers come to the site asking polling questions, 20-30%. Yeah, 20-30%.Anastasios [00:10:42]: It's obviously not reflective of the general population, but it's reflective of some corner of the world of people that really care. And to some extent, maybe that's all right, because those are like the power users. And you know, we're not trying to claim that we represent the world, right? We represent the people that come and vote.Swyx [00:11:02]: Did you have to do anything marketing-wise? Was anything effective? Did you struggle at all? Was it success from day one?Wei Lin [00:11:09]: At some point, almost done. Okay. Because as you can imagine, this leaderboard depends on community engagement participation. If no one comes to vote tomorrow, then no leaderboard.Anastasios [00:11:23]: So we had some period of time when the number of users was just, after the initial launch, it went lower. Yeah. And, you know, at some point, it did not look promising. Actually, I joined the project a couple months in to do the statistical aspects, right? As you can imagine, that's how it kind of hooked into my previous work. At that time, it wasn't like, you know, it definitely wasn't clear that this was like going to be the eval or something. It was just like, oh, this is a cool project. Like Wayland seems awesome, you know, and that's it.Wei Lin [00:11:56]: Definitely. There's in the beginning, because people don't know us, people don't know what this is for. So we had a hard time. But I think we were lucky enough that we have some initial momentum. And as well as the competition between model providers just becoming, you know, became very intense. Intense. And then that makes the eval onto us, right? Because always number one is number one.Anastasios [00:12:23]: There's also an element of trust. Our main priority in everything we do is trust. We want to make sure we're doing everything like all the I's are dotted and the T's are crossed and nobody gets unfair treatment and people can see from our profiles and from our previous work and from whatever, you know, we're trustworthy people. We're not like trying to make a buck and we're not trying to become famous off of this or that. It's just, we're trying to provide a great public leaderboard community venture project.Wei Lin [00:12:51]: Yeah.Swyx [00:12:52]: Yes. I mean, you are kind of famous now, you know, that's fine. Just to dive in more into biases and, you know, some of this is like statistical control. The classic one for human preference evaluation is humans demonstrably prefer longer contexts or longer outputs, which is actually something that we don't necessarily want. You guys, I think maybe two months ago put out some length control studies. Apart from that, there are just other documented biases. Like, I'd just be interested in your review of what you've learned about biases and maybe a little bit about how you've controlled for them.Anastasios [00:13:32]: At a very high level, yeah. Humans are biased. Totally agree. Like in various ways. It's not clear whether that's good or bad, you know, we try not to make value judgments about these things. We just try to describe them as they are. And our approach is always as follows. We collect organic data and then we take that data and we mine it to get whatever insights we can get. And, you know, we have many millions of data points that we can now use to extract insights from. Now, one of those insights is to ask the question, what is the effect of style, right? You have a bunch of data, you have votes, people are voting either which way. We have all the conversations. We can say what components of style contribute to human preference and how do they contribute? Now, that's an important question. Why is that an important question? It's important because some people want to see which model would be better if the lengths of the responses were the same, were to be the same, right? People want to see the causal effect of the model's identity controlled for length or controlled for markdown, number of headers, bulleted lists, is the text bold? Some people don't, they just don't care about that. The idea is not to impose the judgment that this is not important, but rather to say ex post facto, can we analyze our data in a way that decouples all the different factors that go into human preference? Now, the way we do this is via statistical regression. That is to say the arena score that we show on our leaderboard is a particular type of linear model, right? It's a linear model that takes, it's a logistic regression that takes model identities and fits them against human preference, right? So it regresses human preference against model identity. What you get at the end of that logistic regression is a parameter vector of coefficients. And when the coefficient is large, it tells you that GPT 4.0 or whatever, very large coefficient, that means it's strong. And that's exactly what we report in the table. It's just the predictive effect of the model identity on the vote. The other thing that you can do is you can take that vector, let's say we have M models, that is an M dimensional vector of coefficients. What you can do is you say, hey, I also want to understand what the effect of length is. So I'll add another entry to that vector, which is trying to predict the vote, right? That tells me the difference in length between two model responses. So we have that for all of our data. We can compute it ex post facto. We added it into the regression and we look at that predictive effect. And then the idea, and this is formally true under certain conditions, not always verifiable ones, but the idea is that adding that extra coefficient to this vector will kind of suck out the predictive power of length and put it into that M plus first coefficient and quote, unquote, de-bias the rest so that the effect of length is not included. And that's what we do in style control. Now we don't just do it for M plus one. We have, you know, five, six different style components that have to do with markdown headers and bulleted lists and so on that we add here. Now, where is this going? You guys see the idea. It's a general methodology. If you have something that's sort of like a nuisance parameter, something that exists and provides predictive value, but you really don't want to estimate that. You want to remove its effect. In causal inference, these things are called like confounders often. What you can do is you can model the effect. You can put them into your model and try to adjust for them. So another one of those things might be cost. You know, what if I want to look at the cost adjusted performance of my model, which models are punching above their weight, parameter count, which models are punching above their weight in terms of parameter count, we can ex post facto measure that. We can do it without introducing anything that compromises the organic nature of theWei Lin [00:17:17]: data that we collect.Anastasios [00:17:18]: Hopefully that answers the question.Wei Lin [00:17:20]: It does.Swyx [00:17:21]: So I guess with a background in econometrics, this is super familiar.Anastasios [00:17:25]: You're probably better at this than me for sure.Swyx [00:17:27]: Well, I mean, so I used to be, you know, a quantitative trader and so, you know, controlling for multiple effects on stock price is effectively the job. So it's interesting. Obviously the problem is proving causation, which is hard, but you don't have to do that.Anastasios [00:17:45]: Yes. Yes, that's right. And causal inference is a hard problem and it goes beyond statistics, right? It's like you have to build the right causal model and so on and so forth. But we think that this is a good first step and we're sort of looking forward to learning from more people. You know, there's some good people at Berkeley that work on causal inference for the learning from them on like, what are the really most contemporary techniques that we can use in order to estimate true causal effects if possible.Swyx [00:18:10]: Maybe we could take a step through the other categories. So style control is a category. It is not a default. I have thought that when you wrote that blog post, actually, I thought it would be the new default because it seems like the most obvious thing to control for. But you also have other categories, you have coding, you have hard prompts. We consider that.Anastasios [00:18:27]: We're still actively considering it. It's just, you know, once you make that step, once you take that step, you're introducing your opinion and I'm not, you know, why should our opinion be the one? That's kind of a community choice. We could put it to a vote.Wei Lin [00:18:39]: We could pass.Anastasios [00:18:40]: Yeah, maybe do a poll. Maybe do a poll.Swyx [00:18:42]: I don't know. No opinion is an opinion.Wei Lin [00:18:44]: You know what I mean?Swyx [00:18:45]: Yeah.Wei Lin [00:18:46]: There's no neutral choice here.Swyx [00:18:47]: Yeah. You have all these others. You have instruction following too. What are your favorite categories that you like to talk about? Maybe you tell a little bit of the stories, tell a little bit of like the hard choices that you had to make.Wei Lin [00:18:57]: Yeah. Yeah. Yeah. I think the, uh, initially the reason why we want to add these new categories is essentially to answer some of the questions from our community, which is we won't have a single leaderboard for everything. So these models behave very differently in different domains. Let's say this model is trend for coding, this model trend for more technical questions and so on. On the other hand, to answer people's question about like, okay, what if all these low quality, you know, because we crowdsource data from the internet, there will be noise. So how do we de-noise? How do we filter out these low quality data effectively? So that was like, you know, some questions we want to answer. So basically we spent a few months, like really diving into these questions to understand how do we filter all these data because these are like medias of data points. And then if you want to re-label yourself, it's possible, but we need to kind of like to automate this kind of data classification pipeline for us to effectively categorize them to different categories, say coding, math, structure, and also harder problems. So that was like, the hope is when we slice the data into these meaningful categories to give people more like better signals, more direct signals, and that's also to clarify what we are actually measuring for, because I think that's the core part of the benchmark. That was the initial motivation. Does that make sense?Anastasios [00:20:27]: Yeah. Also, I'll just say, this does like get back to the point that the philosophy is to like mine organic, to take organic data and then mine it x plus factor.Alessio [00:20:35]: Is the data cage-free too, or just organic?Anastasios [00:20:39]: It's cage-free.Wei Lin [00:20:40]: No GMO. Yeah. And all of these efforts are like open source, like we open source all of the data cleaning pipeline, filtering pipeline. Yeah.Swyx [00:20:50]: I love the notebooks you guys publish. Actually really good just for learning statistics.Wei Lin [00:20:54]: Yeah. I'll share this insights with everyone.Alessio [00:20:59]: I agree on the initial premise of, Hey, writing an email, writing a story, there's like no ground truth. But I think as you move into like coding and like red teaming, some of these things, there's like kind of like skill levels. So I'm curious how you think about the distribution of skill of the users. Like maybe the top 1% of red teamers is just not participating in the arena. So how do you guys think about adjusting for it? And like feels like this where there's kind of like big differences between the average and the top. Yeah.Anastasios [00:21:29]: Red teaming, of course, red teaming is quite challenging. So, okay. Moving back. There's definitely like some tasks that are not as subjective that like pairwise human preference feedback is not the only signal that you would want to measure. And to some extent, maybe it's useful, but it may be more useful if you give people better tools. For example, it'd be great if we could execute code with an arena, be fantastic.Wei Lin [00:21:52]: We want to do it.Anastasios [00:21:53]: There's also this idea of constructing a user leaderboard. What does that mean? That means some users are better than others. And how do we measure that? How do we quantify that? Hard in chatbot arena, but where it is easier is in red teaming, because in red teaming, there's an explicit game. You're trying to break the model, you either win or you lose. So what you can do is you can say, Hey, what's really happening here is that the models and humans are playing a game against one another. And then you can use the same sort of Bradley Terry methodology with some, some extensions that we came up with in one of you can read one of our recent blog posts for, for the sort of theoretical extensions. You can attribute like strength back to individual players and jointly attribute strength to like the models that are in this jailbreaking game, along with the target tasks, like what types of jailbreaks you want.Wei Lin [00:22:44]: So yeah.Anastasios [00:22:45]: And I think that this is, this is a hugely important and interesting avenue that we want to continue researching. We have some initial ideas, but you know, all thoughts are welcome.Wei Lin [00:22:54]: Yeah.Alessio [00:22:55]: So first of all, on the code execution, the E2B guys, I'm sure they'll be happy to helpWei Lin [00:22:59]: you.Alessio [00:23:00]: I'll please set that up. They're big fans. We're investors in a company called Dreadnought, which we do a lot in AI red teaming. I think to me, the most interesting thing has been, how do you do sure? Like the model jailbreak is one side. We also had Nicola Scarlini from DeepMind on the podcast, and he was talking about, for example, like, you know, context stealing and like a weight stealing. So there's kind of like a lot more that goes around it. I'm curious just how you think about the model and then maybe like the broader system, even with Red Team Arena, you're just focused on like jailbreaking of the model, right? You're not doing kind of like any testing on the more system level thing of the model where like, maybe you can get the training data back, you're going to exfiltrate some of the layers and the weights and things like that.Wei Lin [00:23:43]: So right now, as you can see, the Red Team Arena is at a very early stage and we are still exploring what could be the potential new games we can introduce to the platform. So the idea is still the same, right? And we build a community driven project platform for people. They can have fun with this website, for sure. That's one thing, and then help everyone to test these models. So one of the aspects you mentioned is stealing secrets, stealing training sets. That could be one, you know, it could be designed as a game. Say, can you still use their credential, you know, we hide, maybe we can hide the credential into system prompts and so on. So there are like a few potential ideas we want to explore for sure. Do you want to add more?Anastasios [00:24:28]: I think that this is great. This idea is a great one. There's a lot of great ideas in the Red Teaming space. You know, I'm not personally like a Red Teamer. I don't like go around and Red Team models, but there are people that do that and they're awesome. They're super skilled. When I think about the Red Team arena, I think those are really the people that we're building it for. Like, we want to make them excited and happy, build tools that they like. And just like chatbot arena, we'll trust that this will end up being useful for the world. And all these people are, you know, I won't say all these people in this community are actually good hearted, right? They're not doing it because they want to like see the world burn. They're doing it because they like, think it's fun and cool. And yeah. Okay. Maybe they want to see, maybe they want a little bit.Wei Lin [00:25:13]: I don't know. Majority.Anastasios [00:25:15]: Yeah.Wei Lin [00:25:16]: You know what I'm saying.Anastasios [00:25:17]: So, you know, trying to figure out how to serve them best, I think, I don't know where that fits. I just, I'm not expressing. And give them credits, right?Wei Lin [00:25:24]: And give them credit.Anastasios [00:25:25]: Yeah. Yeah. So I'm not trying to express any particular value judgment here as to whether that's the right next step. It's just, that's sort of the way that I think we would think about it.Swyx [00:25:35]: Yeah. We also talked to Sander Schulhoff of the HackerPrompt competition, and he's pretty interested in Red Teaming at scale. Let's just call it that. You guys maybe want to talk with him.Wei Lin [00:25:45]: Oh, nice.Swyx [00:25:46]: We wanted to cover a little, a few topical things and then go into the other stuff that your group is doing. You know, you're not just running Chatbot Arena. We can also talk about the new website and your future plans, but I just wanted to briefly focus on O1. It is the hottest, latest model. Obviously, you guys already have it on the leaderboard. What is the impact of O1 on your evals?Wei Lin [00:26:06]: Made our interface slower.Anastasios [00:26:07]: It made it slower.Swyx [00:26:08]: Yeah.Wei Lin [00:26:10]: Because it needs like 30, 60 seconds, sometimes even more to, the latency is like higher. So that's one. Sure. But I think we observe very interesting things from this model as well. Like we observe like significant improvement in certain categories, like more technical or math. Yeah.Anastasios [00:26:32]: I think actually like one takeaway that was encouraging is that I think a lot of people before the O1 release were thinking, oh, like this benchmark is saturated. And why were they thinking that? They were thinking that because there was a bunch of models that were kind of at the same level. They were just kind of like incrementally competing and it sort of wasn't immediately obvious that any of them were any better. Nobody, including any individual person, it's hard to tell. But what O1 did is it was, it's clearly a better model for certain tasks. I mean, I used it for like proving some theorems and you know, there's some theorems that like only I know because I still do a little bit of theory. Right. So it's like, I can go in there and ask like, oh, how would you prove this exact thing? Which I can tell you has never been in the public domain. It'll do it. It's like, what?Wei Lin [00:27:19]: Okay.Anastasios [00:27:20]: So there's this model and it crushed the benchmark. You know, it's just like really like a big gap. And what that's telling us is that it's not saturated yet. It's still measuring some signal. That was encouraging. The point, the takeaway is that the benchmark is comparative. There's no absolute number. There's no maximum ELO. It's just like, if you're better than the rest, then you win. I think that was actually quite helpful to us.Swyx [00:27:46]: I think people were criticizing, I saw some of the academics criticizing it as not apples to apples. Right. Like, because it can take more time to reason, it's basically doing some search, doing some chain of thought that if you actually let the other models do that same thing, they might do better.Wei Lin [00:28:03]: Absolutely.Anastasios [00:28:04]: To be clear, none of the leaderboard currently is apples to apples because you have like Gemini Flash, you have, you know, all sorts of tiny models like Lama 8B, like 8B and 405B are not apples to apples.Wei Lin [00:28:19]: Totally agree. They have different latencies.Anastasios [00:28:21]: Different latencies.Wei Lin [00:28:22]: Control for latency. Yeah.Anastasios [00:28:24]: Latency control. That's another thing. We can do style control, but latency control. You know, things like this are important if you want to understand the trade-offs involved in using AI.Swyx [00:28:34]: O1 is a developing story. We still haven't seen the full model yet, but it's definitely a very exciting new paradigm. I think one community controversy I just wanted to give you guys space to address is the collaboration between you and the large model labs. People have been suspicious, let's just say, about how they choose to A-B test on you. I'll state the argument and let you respond, which is basically they run like five anonymous models and basically argmax their Elo on LMSYS or chatbot arena, and they release the best one. Right? What has been your end of the controversy? How have you decided to clarify your policy going forward?Wei Lin [00:29:15]: On a high level, I think our goal here is to build a fast eval for everyone, and including everyone in the community can see the data board and understand, compare the models. More importantly, I think we want to build the best eval also for model builders, like all these frontier labs building models. They're also internally facing a challenge, which is how do they eval the model? That's the reason why we want to partner with all the frontier lab people, and then to help them testing. That's one of the... We want to solve this technical challenge, which is eval. Yeah.Anastasios [00:29:54]: I mean, ideally, it benefits everyone, right?Wei Lin [00:29:56]: Yeah.Anastasios [00:29:57]: And people also are interested in seeing the leading edge of the models. People in the community seem to like that. Oh, there's a new model up. Is this strawberry? People are excited. People are interested. Yeah. And then there's this question that you bring up of, is it actually causing harm?Wei Lin [00:30:15]: Right?Anastasios [00:30:16]: Is it causing harm to the benchmark that we are allowing this private testing to happen? Maybe stepping back, why do you have that instinct? The reason why you and others in the community have that instinct is because when you look at something like a benchmark, like an image net, a static benchmark, what happens is that if I give you a million different models that are all slightly different, and I pick the best one, there's something called selection bias that plays in, which is that the performance of the winning model is overstated. This is also sometimes called the winner's curse. And that's because statistical fluctuations in the evaluation, they're driving which model gets selected as the top. So this selection bias can be a problem. Now there's a couple of things that make this benchmark slightly different. So first of all, the selection bias that you include when you're only testing five models is normally empirically small.Wei Lin [00:31:12]: And that's why we have these confidence intervals constructed.Anastasios [00:31:16]: That's right. Yeah. Our confidence intervals are actually not multiplicity adjusted. One thing that we could do immediately tomorrow in order to address this concern is if a model provider is testing five models and they want to release one, and we're constructing the models at level one minus alpha, we can just construct the intervals instead at level one minus alpha divided by five. That's called Bonferroni correction. What that'll tell you is that the final performance of the model, the interval that gets constructed, is actually formally correct. We don't do that right now, partially because we know from simulations that the amount of selection bias you incur with these five things is just not huge. It's not huge in comparison to the variability that you get from just regular human voters. So that's one thing. But then the second thing is the benchmark is live, right? So what ends up happening is it'll be a small magnitude, but even if you suffer from the winner's curse after testing these five models, what'll happen is that over time, because we're getting new data, it'll get adjusted down. So if there's any bias that gets introduced at that stage, in the long run, it actually doesn't matter. Because asymptotically, basically in the long run, there's way more fresh data than there is data that was used to compare these five models against these private models.Swyx [00:32:35]: The announcement effect is only just the first phase and it has a long tail.Anastasios [00:32:39]: Yeah, that's right. And it sort of like automatically corrects itself for this selection adjustment.Swyx [00:32:45]: Every month, I do a little chart of Ellim's ELO versus cost, just to track the price per dollar, the amount of like, how much money do I have to pay for one incremental point in ELO? And so I actually observe an interesting stability in most of the ELO numbers, except for some of them. For example, GPT-4-O August has fallen from 12.90

What started as an excuse to moan about the Bucs defence became a very cathartic session between Jets, Bears and Bucs fans. After that we preview the Thursday Night Texans @ Jets game

Good afternoon, I'm _____ with today's episode of EZ News. Tai-Ex opening The Tai-Ex opened down 150-points this morning from yesterday's close, at 23,048 on turnover of $4.7-billion N-T. Shares in Taiwan saw initial gains eroded (侵蝕) and closed in negative territory, falling more than 150 points, Monday as the bellwether electronics sector encountered profit taking leading the broader market to move lower Analysts say ahead of the upcoming United States presidential election on Nov. 5, local investors appeared reluctant to chase prices for the moment despite gains in the early morning session with turnover staying low. Detention extended for city councilor The Taipei District Court on Monday approved an extension of detention for Taipei City Councilor Ying Hsiao-wei, while the Taiwan High Court rejected real estate tycoon Sheen Ching-jing's appeal to have his detention ended. The two individuals are both in custody as part of an alleged corruption case, known as the "Core Pacific City Case," that has embroiled (捲入其中) TPP leader Ko Wen-je. Ying, of the opposition KMT, is accused of acting as a go-between between Sheen and high-ranking city government officials in the construction project, including then-Taipei City Mayor Ko. Sheen, founder and chairman of the Core Pacific Group, is alleged to have bribed Taipei city officials to illegally increase the floor area ratio f a site formerly occupied by Core Pacific City, in order to raise the property's financial value. Ying is to be held incommunicado for two more months as of Oct. 29, as ruled by the Taipei District Court. Sheen's attorney applied for the suspension of his detention, citing his poor health, a request that has now be rejected for the second time by the High Court. NATO confirms North Korean forces in Russia's Kursk NATO's Secretary-General has confirmed that North Korean forces are in the Russian territory of Kursk. That region is partially (部分地) controlled by Ukraine signaling that they are now or soon to be in direct combat. William Denselow reports from Brussels where NATO is headquartered. Israel Passes Laws Restricting UN Aid Agency Israel's parliament has passed two laws that severely restrict the U.N. agency responsible for distributing aid in Gaza. The first bill passed Monday bans the U.N. agency for Palestinian refugees, or UNRWA, from conducting “any activity” or providing any service inside Israel. The second cuts ties with the main U.N. provider of aid to Gaza and designates (指定) it a terror organization. The votes followed a fiery debate between supporters of the laws and its opponents, mostly members of Arab parliamentary parties. Brazil Fines Meatpacking Companies and Suppliers Brazil's environmental agency levied $64 million in fines against 23 meatpacking and their suppliers companies for buying and selling cattle raised illegally on deforested land in the Amazon. The operation tracked 18-thousand head of cattle raised in 260 square kilometers of pasture that was under embargo (禁運) due to illegal deforestation. The companies targeted included JBS, the largest meatpacking company in the world. Cattle raising is the Amazon's main deforestation driver, with 90% of the total cleared area converted to pasture. That represents an area of 590-thousand square kilometers, slightly larger than France. 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－－－－ 高雄美術特區2-4房全新落成，《惟美術》輕軌C22站散步即到家，近鄰青海商圈，卡位明星學區，徜徉萬坪綠海。 住近美術館，擁抱優雅日常，盡現驕傲風範！美術東四路X青海路 07-553-3838 -- 新北市勞工局提醒您，醫院或工地周遭常見外國籍看護或臨時工的名片或廣告，可能為非法外國人，若違法聘僱將面臨15-75萬罰鍰，如有聘僱外國人需求，應向政府機關提出申請才有保障。 【新北市政府勞工局廣告】 更多詳情請見 https://bit.ly/3AcrhdE

Hello boys and girls, and welcome to Episode 197 of Front End Chatter, a motorcycling-themed podcast spoken out loud by Simon Hargreaves and Martin Fitz-Gibbons, very much the Ying and Yang, the Ego and the Id, the – if you will – Laurel and Hardy of motorcycle journalism.  We are supported as ever by our compadres Bennetts, Britain's best bike insurer (which I think we've basically established as fact, now) and bikesocial.co.uk, the most amazingly comprehensive motorcycling website on the, er, web. And not forgetting, as if we could, bikeclub.bennetts.co.uk – the place to speak your motorcycling brains.  And on this episode of FEC we have:  • exhaustive details of Ducati's new Multistrada • extensive details of Kawasaki's new Versys 1100 • executive details of the recall notice for Kawasaki's Ninja hybrid • exemplary details of Triumph's new Speed Twin 1200 • economic details of KTM's woes  • plus your questions, queries, thoughts and musings from the FECSack – please send your missives and misgivings to:  anything@frontendchatter.com and we'll get round to reading it out in six months' time. Probably.  Thank you very much for watching and you can no longer reach us on Twitter because there is no more Twitter. But we're still on Instagram: @SimonHBikes @Mufga 

#JoeHendry #TNAWrestling #TNAiMPACT Tonight's iMPACT featured: Knockouts Tag Team Match: Wendy Choo & Rosemary vs Jordynne Grace & Sol Ruca Frankie Kazarian Interview Jonathan Gresham vs Laredo Kid Mike Santana Segment 6 Man Tag Team Match: ABC & Zachary Wentz vs Kushida, Leon Slater, & "Speedball" Mike Bailey Hammerstone & Jake Something Segment Lei Ying Lee (her in ring debut) vs Hyan Leon Slater Segment ABC Promo/Segment Josh Alexander In Ring Promo Steph De Lander Segment Heather Reckless vs Xia Brookside Joe Hendry Promo TNA World Title #1 Contender's Match: Joe Hendry vs Frankie Kazarian

We love our Aussie publishing fam!! And we were over the moon to have the legend that is THE Keshe Chow ⁠@keshewrites⁠ join us recently on the podcast!!  We can't wait for you all to tune in!  But first, here's a bit about Keshe: Keshe Chow (she/her) is a multi-award-winning Chinese-Australian author of fantasy, romance, and speculative fiction. Born in Malaysia, Keshe moved to Australia when she was two years old. Currently she resides in Naarm (Melbourne) with her partner, two kids, one cat, and way too many house plants.⁠ https://www.keshe.com.au/⁠   Her debut novel THE GIRL WITH NO REFLECTION releases August 6th! More about THE GIRL WITH NO REFLECTION Princess Ying Yue believed in love...once upon a time. Yet when she's chosen to wed the crown prince, Ying's dreams of a fairy tale marriage quickly fall apart. Her husband-to-be is cold and indifferent, confining Ying to her room for reasons he won't explain. Worse still are the rumors that swirl around the imperial whispers of seven other royal brides who, after their own weddings, mysteriously disappeared.  Left alone with only her own reflection for company, Ying begins to see things. Strange things. Movements in the corners of her mirror. Colorful lights upon its surface. And when, on the eve of her wedding, she unwittingly tears open a gateway, she is pulled into a mirror world. This realm is full of sentient reflections, including the enigmatic Mirror Prince. Unlike his real-world counterpart, the Mirror Prince is kind and compassionate, and before long Ying falls in love—the kind of love she always dreamed of.  But there is darkness in this new world, too. It turns out the two worlds have a long and blood-soaked history, and Ying has a part to play in the future of them both. And the brides who came before Ying? By the time they discovered what their role was, it was already too late.   Get your copy here: ⁠https://linktr.ee/keshewrites⁠ Add to Goodreads here: ⁠https://www.goodreads.com/book/show/201785804-the-girl-with-no-reflection⁠  ⁠#OfthePublishingPersuasion⁠ ⁠#podcast⁠ ⁠#writing⁠ ⁠#Bookstagram⁠ ⁠#bookish⁠ ⁠#yafantasy⁠ ⁠#yabooks⁠ ⁠#loveozya⁠ ⁠#aussieauthors⁠ ⁠#thegirlwithnoreflection ⁠⁠#AuthorInterview #KesheChow#writingcommunity⁠⁠ ⁠⁠#writingpodcast⁠⁠ ⁠⁠#authorsofig⁠⁠ ⁠⁠#authorscommunity⁠⁠ ⁠⁠#writersofinstagram⁠⁠ ⁠⁠#writerspodcast⁠⁠ ⁠⁠#writeradvice⁠⁠ ⁠⁠#podcasting⁠⁠ ⁠⁠#podcasts⁠⁠ ⁠⁠#podcastersofinstagram⁠⁠ ⁠⁠#Query⁠⁠ ⁠⁠#querying⁠⁠ ⁠⁠#2024debut⁠⁠ ⁠⁠#debut⁠⁠ ⁠⁠#debutauthor⁠⁠ ⁠⁠#reading⁠⁠ ⁠⁠#writingcommunity⁠⁠ ⁠⁠#authorsofinstagram⁠⁠ ⁠⁠#writersofinstagram⁠⁠ ⁠⁠#readersofinstagram⁠ ⁠#australianauthor⁠ ⁠#australianauthors⁠

Welcome to another episode of New Books in Chinese Studies. Today, I will be talking to Columbia University professor Ying Qian about her new book, Revolutionary Becomings: Documentary Media in Twentieth-Century China (Columbia UP, 2023).  The volume enriches our understanding of media's role in China's revolutionary history by turning to documentary. Qian guides readers through early documentary practice, left- and right-wing Republican documentary, and documentary as it functioned in the socialist and early postsocialist periods. In reference to socialist documentary, she writes, “As the vanguard of cinema, documentary in the Mao era meant, in principle, to facilitate the dialectical relationship between the masses and the party, not only to aid in their mutual constitution, but also to facilitate a collective formation of knowledge and priorities to direct the unfolding of the revolution” (249). In our interview, we will discover how crucial this understudied genre has been in the 20th century and learn how the mutually constitutive dialectic between documentary form and revolution worked in practice. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

Welcome to another episode of New Books in Chinese Studies. Today, I will be talking to Columbia University professor Ying Qian about her new book, Revolutionary Becomings: Documentary Media in Twentieth-Century China (Columbia UP, 2023).  The volume enriches our understanding of media's role in China's revolutionary history by turning to documentary. Qian guides readers through early documentary practice, left- and right-wing Republican documentary, and documentary as it functioned in the socialist and early postsocialist periods. In reference to socialist documentary, she writes, “As the vanguard of cinema, documentary in the Mao era meant, in principle, to facilitate the dialectical relationship between the masses and the party, not only to aid in their mutual constitution, but also to facilitate a collective formation of knowledge and priorities to direct the unfolding of the revolution” (249). In our interview, we will discover how crucial this understudied genre has been in the 20th century and learn how the mutually constitutive dialectic between documentary form and revolution worked in practice. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history

Welcome to another episode of New Books in Chinese Studies. Today, I will be talking to Columbia University professor Ying Qian about her new book, Revolutionary Becomings: Documentary Media in Twentieth-Century China (Columbia UP, 2023).  The volume enriches our understanding of media's role in China's revolutionary history by turning to documentary. Qian guides readers through early documentary practice, left- and right-wing Republican documentary, and documentary as it functioned in the socialist and early postsocialist periods. In reference to socialist documentary, she writes, “As the vanguard of cinema, documentary in the Mao era meant, in principle, to facilitate the dialectical relationship between the masses and the party, not only to aid in their mutual constitution, but also to facilitate a collective formation of knowledge and priorities to direct the unfolding of the revolution” (249). In our interview, we will discover how crucial this understudied genre has been in the 20th century and learn how the mutually constitutive dialectic between documentary form and revolution worked in practice. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/east-asian-studies

Welcome to another episode of New Books in Chinese Studies. Today, I will be talking to Columbia University professor Ying Qian about her new book, Revolutionary Becomings: Documentary Media in Twentieth-Century China (Columbia UP, 2023).  The volume enriches our understanding of media's role in China's revolutionary history by turning to documentary. Qian guides readers through early documentary practice, left- and right-wing Republican documentary, and documentary as it functioned in the socialist and early postsocialist periods. In reference to socialist documentary, she writes, “As the vanguard of cinema, documentary in the Mao era meant, in principle, to facilitate the dialectical relationship between the masses and the party, not only to aid in their mutual constitution, but also to facilitate a collective formation of knowledge and priorities to direct the unfolding of the revolution” (249). In our interview, we will discover how crucial this understudied genre has been in the 20th century and learn how the mutually constitutive dialectic between documentary form and revolution worked in practice. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/film

Today I am chatting with debut author Amber Chen about her brand new YA Silkpunk Fantasy novel, Of Jade and Dragons. Take a listen as Amber and I chat about what it's like being a debut author, her journey from writing for Wattpad to being traditionally published, what Silkpunk fantasy is, the beautiful cover design, the world building, strong characters, plot line, and more! The entire episode is spoiler free! A little about Of Jade and Dragons: Eighteen-year-old Aihui Ying dreams of becoming a world-class engineer like her father, but after his sudden murder, her life falls apart. Left with only a journal of her father's engineering secrets and a jade pendant snatched from the assassin, a heartbroken Ying follows the trail to the capital and the prestigious Engineers Guild—a place that harbors her father's hidden past—determined to discover why anyone would threaten a man who ultimately chose a quiet life over fame and fortune.Disguised as her brother, Ying manages to infiltrate the guild's male-only apprenticeship trial with the help of an unlikely ally—Aogiya Ye-yang, the taciturn eighth prince of the High Command. With her father's renown placing a target firmly on her back, Ying must stay one step ahead of her fellow competitors, the jealous guild masters, and the killer still hunting for her father's journal. Complicating everything is her increasingly tangled relationship with the prince, who may have mysterious plans of his own.The secrets concealed within the guild can be as deadly as the weapons they build—and with her life and the future of her homeland at stake, Ying doesn't know who to trust. Can she avenge her father even if it means going against everything he stood for, or will she be next in the mastermind's line of fire?A special thank you to Amber Chen for coming on the podcast and chatting with me today. And thank you to Jenna Smith at Penguin Young Readers for setting up the interview. Follow Amber on social media: Instagram, X, TikTok Check out Amber's websitePurchase Of Jade and DragonsSend us a Text Message.Have a question about today's book or author? Have a book you want me to review on the podcast? Just want to say hi? Send me an email at yabookchat@gmail.comDon't forget to give the podcast a 5 star rating, and leave a review! Thank you for your support!

Dr. Wendy Ying & Glenn the Geek talk about some proactive ways you can help keep your horse or dog young. Host: Coach JennTodays contributor: Dr. Wendy Ying, Horses In The MorningSponsored by MyNewHorse.comSupport for this episode provided by HRN AuditorsListen to more podcasts for horse people at Horse Radio Network

Dr. Wendy Ying & Glenn the Geek talk about some proactive ways you can help keep your horse or dog young. Host: Coach JennTodays contributor: Dr. Wendy Ying, Horses In The MorningSponsored by MyNewHorse.comSupport for this episode provided by HRN AuditorsListen to more podcasts for horse people at Horse Radio Network

In this episode of the Product Thinking podcast, host Melissa Perri welcomes Ying Chen, the Chief Product Officer at Quantive onto the show to discuss her career in product management and the differences between working in large enterprises and startups. From the learning opportunities present in both environments to the skills needed to be successful, this conversation is a must-listen for those wanting insights from a seasoned product management professional.

Summary In this week's episode, Anna (https://x.com/AnnaRRose) and Guille (https://x.com/GuilleAngeris) chat with Ying Tong Lai (https://x.com/therealyingtong) from Geometry Research (https://geometry.dev/) and Bryan Gillespie (https://x.com/bryan_gillespie) from Inversed Tech (https://inversed.tech/) about their latest research and works to date. They dive into the pair's recent work ‘SoK: Programmable Privacy in Distributed Systems (https://eprint.iacr.org/2024/982)', exploring the classifications and frameworks being introduced. Here's some additional links for this episode: SoK: Programmable Privacy in Distributed Systems by Benarroch, Gillespie, Lai and Miller (https://eprint.iacr.org/2024/982) Private Programmability in Zcash - Research Results and Community Discussion (https://forum.zcashcommunity.com/t/48016) Zcash Halo2 GitHub (https://github.com/zcash/halo2) Zk0x02 - An intro to Zcash and zkSNARKs - Ariel Gabizon (Zcash) (https://www.youtube.com/watch?v=Kx4cIkCY2EA) Moving SNARKs from the generic to algebraic group model by Ariel Gabizon (https://medium.com/@arielgabizon/moving-snarks-from-the-generic-to-algebraic-group-model-56549d60b90d) Explaining SNARKs Part I: Homomorphic Hidings by Ariel Gabizon (https://electriccoin.co/blog/snark-explain/) Differential Privacy in Constant Function Market Makers by Chitra, Angeris and Evans (https://fc22.ifca.ai/preproceedings/30.pdf) A Note on Privacy in Constant Function Market Makers by Angeris, Evans and Chitra (https://angeris.github.io/papers/cfmm-privacy.pdf) On Privacy Notions in Anonymous Communication by Kuhn, Beck, Schiffner, Jorswieck, and Strufe (https://arxiv.org/pdf/1812.05638) ZK Hack Montreal has been announced for Aug 9 - 11! Apply to join the hackathon here (https://zk-hack-montreal.devfolio.co/). Episode Sponsors Aleo (http://aleo.org/) is a new Layer-1 blockchain that achieves the programmability of Ethereum, the privacy of Zcash, and the scalability of a rollup. As Aleo is gearing up for their mainnet launch in Q1, this is an invitation to be part of a transformational ZK journey. Dive deeper and discover more about Aleo at http://aleo.org/ (http://aleo.org/). If you like what we do: * Find all our links here! @ZeroKnowledge | Linktree (https://linktr.ee/zeroknowledge) * Subscribe to our podcast newsletter (https://zeroknowledge.substack.com) * Follow us on Twitter @zeroknowledgefm (https://twitter.com/zeroknowledgefm) * Join us on Telegram (https://zeroknowledge.fm/telegram) * Catch us on YouTube (www.youtube.com/channel/UCYWsYz5cKw4wZ9Mpe4kuM_g)

Well that's a different way to describe the kid

Description: In this compelling episode of the Color of Success Podcast, Dr. Stephanie J. Wong welcomes Eileen Li-Ying Lundquist for her debut appearance, where she shares her inspiring journey from the restrictive shadows of Chairman Mao's China to the liberating avenues of New York. Eileen opens up about overcoming profound challenges including abandonment, injustice, and personal trauma to achieve love, happiness, and impactful self-discovery. Show Notes: Introduction Dr. Stephanie J. Wong introduces the podcast and her memoir, Cancel the Filter, Realities of a Psychologist, Podcaster, and Working Mother of Color. Eileen's Early Life and Challenges Eileen discusses her move from China to the United States, the cultural and personal obstacles she faced, and her initial struggles with freedom and choice in a new country. Mental Health Journey Insight into Eileen's mental health challenges growing up under an oppressive regime and her struggles with acceptance and self-love in the U.S. Importance of Forgiveness Eileen reflects on the pivotal role of forgiveness in overcoming her past traumas and how it facilitated her current happiness and stable marriage. Career Achievements Discussion on Eileen's significant contributions to technology, including her work on SMS technology and her experiences as a female minority in the tech industry. Marriage and Relationships Eileen shares insights into her marriage, discussing the importance of starting a relationship for the right reasons and the role of therapy in maintaining a healthy partnership. Writing and Vulnerability Eileen talks about the power of writing authentically, how it connects with readers across different backgrounds, and her motivations behind writing her book, Wings of Silk. Future Projects and Aspirations Eileen unveils her plans to write a children's book focused on the contributions of Chinese laborers to American history. Q&A Session The episode concludes with a Q&A session where Eileen addresses additional questions about courage, fear, and the impact of sharing personal stories. Closing: Dr. Wong wraps up the episode by encouraging listeners to subscribe and engage with the podcast through various social media platforms. She highlights the importance of community support in destigmatizing mental health issues and sharing diverse success stories. Available: Listen to this enlightening episode on all major streaming platforms and join the Color of Success Podcast community online to delve deeper into the narratives of resilience and personal growth.

Flashback Friday with Victoria Ying