Podcasts about Rakuten

Donate to the ALS Association: https://www.als.org/?form=general&s_src=donatebutton  Come see BNC live! https://linktr.ee/bnclive  Pre-order Phoebe Berman's Gonna Lose It: https://sites.prh.com/phoebe-bermans-gonna-lose-it SUBSCRIBE TO THE BNC CHANNEL: https://bit.ly/45Pspyl   Ad Free & Bonus Episodes: https://bit.ly/3OZxwpr This week, Brooke and Connor talk about the their three fun facts, identifying as double jointed, and the new JFK Jr. show. Plus, Connor recaps his trip to the Olympics and Brooke learns about frame mogging and looksmaxxing.  Join our Facebook page: https://www.facebook.com/groups/5356639204457124/  Join the loyalty program for renters at https://joinbilt.com/bnc Go to https://nuuly.com and enter the code BNC at sign up to get $28 off your first month.  Go to https://Nutrafol.com and use promo code BANDC for $10 off your first month's subscription and free shipping Join for free at https://rakuten.com or download the Rakuten app to start saving money today Use code BNC for 15% off at https://barebells.com B+C IG: https://www.instagram.com/bncmap/ B+C Twitter: https://twitter.com/bncmap TMG Studios YouTube: https://www.youtube.com/tinymeatgang TMG Studios IG: https://www.instagram.com/realtmgstudios/ TMG Studios Twitter: https://twitter.com/realtmgstudios BROOKE https://www.instagram.com/brookeaverick https://twitter.com/ladyefron https://www.tiktok.com/@ladyefron  CONNOR https://www.instagram.com/fibula/ https://twitter.com/fibulaa https://www.tiktok.com/@fibulaa Hosted by Brooke Averick & Connor Wood, Created by TMG Studios, Brooke Averick & Connor Wood, and Produced by TMG Studios, Brooke Averick & Connor Wood. Chapters: 0:00 We're Going On Tour!!!! 0:44 Intro 1:00 It's Ok To Take Breaks 2:05 Run Ins.  5:56 Fisting Clam Chowder 9:33 Figuring Out Our 3 Fun Facts 15:09 Exploring The Double Jointed Community 19:42 Bilt 20:52 Nuuly 22:39 The New York Blizz 23:53 Horned Up For Love Story 28:39 We Need New Faces 32:10 Excited About TV Again!! 33:23 All Eyes On Punch the Monkey 37:22 Nutrafol 39:13 Rakuten 40:10 Barebells 41:23 Getting Emotional Over Porch Goose 46:26 Connor Goes To The Olympics 49:25 Getting Lost In Paris 55:20 Completely Framed Mogged  1:00:04 Phoebe Is Going On Tour!!! 1:04:19 We're Also Going On Tour!!! 1:05:47 Bonding With Dylan E. 1:07:43 Loving Symbolism & Jacob Elordi 1:10:09 RIP Eric Dane 1:10:43 See You In Bonus!!! Learn more about your ad choices. Visit megaphone.fm/adchoices

Looking for the best things to do in Puerto Rico beyond the typical tourist attractions? From the historic streets of Old San Juan to lesser-known beaches and Afro-Caribbean cultural experiences, add these must-see attractions and activities to your Puerto Rico travel itinerary. Read blog post: https://thoughtcard.com/things-to-do-puerto-rico/Other Episodes You'll EnjoyPros and Cons of Moving to Puerto Rico - Episode 131Planning a Budget-Friendly Trip To San Jaun, Puerto Rico - Episode 10 Connect with Bianca Alba:Website: www.thislatinatravels.comInstagram: www.instagram.com/thislatinatravels Getaway Guide For San Juan: https://www.thislatinatravels.com/product/getaway-guide-san-juan-puerto-rico/ Work With Me:Email thethoughtcard@gmail.com for brand partnerships and business inquiries. Resources & Recommendations: ➡️ Sign up for a high-yield savings account with Ally Bank➡️ Sign up for Rakuten and earn cash back on purchases➡️ Earn points by snapping photos of receipts with Fetch Support the Show Directly:Leave a review in your podcast app. It helps other listeners discover the showShare this episode with family and friends who want to visit San Juan

In this special episode of The Negotiation, WPIC CEO Jacob Cooke steps in as host to interview Bijan Ahmadi, Executive Director & COO at the Canada China Business Council—one of the leading organizations supporting Canadian businesses in China and strengthening bilateral commercial ties.This episode offers a unique perspective: Jacob was in Beijing during Prime Minister Mark Carney's recent visit to China—the first by a Canadian leader in years—giving him firsthand insight into the trip's significance. Together, Jacob and Bijan unpack what the visit means for Canadian business and Canada-China relations, with Bijan's deep expertise in trade policy, market access, and bilateral economic engagement complementing Jacob's on-the-ground observations.This conversation comes at a critical moment: as the U.S. administration raises questions about Canada's engagement with China, this episode cuts through the noise to focus on the facts—what was actually agreed, what it means for jobs and GDP, and why China remains a vital market for Canadian exporters and businesses.Discussion Points·       The historical context and significance of Prime Minister Mark Carney's visit to China·       Whether the visit achieved a meaningful reset in Canada-China relations·       Specific outcomes and agreements from the trip—sector-by-sector wins for the Canadian economy·       CCBC's role during the visit and how members have reacted·       How Canadian businesses are reassessing their perceptions of China post-visit·       Next challenges CCBC will work to solve for Canadian business·       Clarifying misconceptions around a potential "deal" with China and U.S. political concerns·       The strategic importance of China to Canada's economy—jobs, GDP, and export opportunities

I am the ring that no laurels adorn,A puckered little star at the edge of the form.No medals are pinned to my tireless skin,Yet I toil and labor each day, all from within. Through tempests of spice and fast food you regret,The burdens the rest of the body forgets.I clench through trials both noble and dire,An unsung sentinel forged in fire. But even the steadfast may weary and ache,May whisper, “Dear world, give me one gentle break”.A balm, a rest, a moment of grace,For I too am part of this curious place. Through trials and toil, both small and bold,One should never overlook, even the smallest of holes.I have found a truth both simple and fair:Even the lowliest ring merits tenderness and care. To see if you're eligible for the new GLP-1 pill on Ro, go to: https://Ro.co/BALD To get fifty percent off your first month of Green Chef, then twenty percent off for two months with free shipping, use code 50BALD at: https://Greenchef.com/50BALD Get organized, refreshed, and back on track this new year for WAY less with Wayfair! To shop all things home, head to: https://Wayfair.com Need a website or domain? Head to Squarespace.com for a free trial, and when you're ready to launch, save 10% off your first purchase of a website or domain at: ⁠⁠https://www.Squarespace.com/BALD⁠ Join Rakuten to start saving money today! Join for free by downloading the app or going to: https://Rakuten.com Follow Trixie: @TrixieMattel Follow Katya: @Katya_Zamo To watch the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://bit.ly/TrixieKatyaYT⁠⁠⁠⁠⁠⁠⁠⁠ To check out our official YouTube Clips Channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/TrixieAndKatyaClipYT⁠⁠⁠⁠⁠⁠⁠⁠ Don't forget to follow the podcast for free wherever you're listening or by using this link: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/thebaldandthebeautifulpodcast⁠⁠⁠⁠⁠⁠⁠⁠ If you want to support the show, and get all the episodes ad-free go to: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thebaldandthebeautiful.supercast.com⁠⁠⁠⁠⁠⁠⁠⁠ To check out future Live Podcast Shows, go to: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://trixieandkatya.com/#tour⁠⁠⁠⁠⁠⁠⁠⁠ To check out the Trixie Motel in Palm Springs, CA: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.trixiemotel.com⁠⁠⁠⁠⁠⁠⁠⁠ Listen and Watch Anywhere! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://bit.ly/thebaldandthebeautifulpodcast⁠⁠⁠⁠⁠⁠⁠⁠ Follow Trixie: Official Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.trixiemattel.com⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@trixie⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/trixiemattel⁠⁠⁠⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/trixiemattel⁠⁠⁠⁠⁠⁠⁠⁠ Twitter (X): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/trixiemattel⁠⁠⁠⁠⁠⁠⁠⁠   Follow Katya: Official Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.welovekatya.com⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@katya_zamo⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/welovekatya⁠⁠⁠⁠⁠⁠⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/katya_zamo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter (X): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/katya_zamo⁠⁠⁠⁠⁠⁠⁠⁠   #TrixieMattel #KatyaZamo #BaldBeautiful Learn more about your ad choices. Visit podcastchoices.com/adchoices

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ++++++ ** 第242集閒聊提到的客訴後續 (02:38)** ** 留言回覆 (04:01)** ** ++++++** ** Rakuten Girls新聞補進度** ** - 猿氣帶回三本柱 (23:21)** ** - RKG去NBA雷霆主場 (28:34)** ** - RKG開季見面會 (30:24)** ** - RKG 第一階段徵選 (31:38)** ** 球隊新聞** ** - 台東階段開工 (34:33)** ** - 官辦熱身賽賽程 (40:51)** ** - 上半季主題日 (43:33)** ** ++++++** ** 大掃除掃到的2019郵票 (47:47)** ** == 非關桃猿==** ** 小時候的龍山寺印象 (1:00:39)** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** 永豐SPORT卡是一張用汗水賺回饋的信用卡，只要每月加入永豐銀行的“DACARD”APP，參加【支持運動Podcast】揪團活動，達成app裡設計的運動目標，同時當月刷永豐SPORT卡，永豐銀行就會幫你抖內大叔野球543，抖內金額是每個卡戶刷卡消費的1%，或是一個人最多上限50元/月，再加上卡片本身是有最高5%回饋，就算運動沒達標，仍然有不錯的回饋讓大家來參考。支持永豐sport卡，支持大叔野球543，我們每年都會提撥固定比例跟你贊助基層棒球。最後還是要謹慎理財，信用至上 申辦SPORT卡：https://mma.tw/O03BB “每月抖內254，大叔野球有意思” “月月贊助254，台灣棒球有好事” ** 大叔最新贊助方案已經上線啦** ** 希望用每月贊助的方式，能讓節目更好，也讓大叔們有更多力量支持台灣棒球★https://www.zeczec.com/projects/BaseballUncle543★** ** 有興趣合作的廠商歡迎私訊或email聊聊** ** email：baseballuncle543@outlook.com** ** IG：baseballuncle543** ** FB：大叔野球543** －－－－以下為 SoundOn 動態廣告－－－－ 新感覺夾心土司 多種口味隨心挑選 讓你隨時隨地都有好心情 甜蜜口感草莓夾心、顆粒層次花生夾心、濃郁滑順可可夾心 主廚監製鮪魚沙拉、精選原料金黃蛋沙拉 輕巧美味帶著走，迎接多變的每一天 7-Eleven多種口味販售中 https://sofm.pse.is/8r93bh -- Hosting provided by SoundOn

Most leaders want "alignment," but what they really need is movement—people actually doing the new thing. Motivating action is devilishly hard because humans cling to habits, defend their comfort, and only rent logic after emotion has already bought the decision.  Below is a practical, talk-design framework you can use in leadership meetings, sales kick-offs, internal change programs, and client presentations—especially when you need people to stop nodding and start acting. Is motivating people to change really that difficult? Yes—because habit beats good intentions, and people protect the status quo like it's their job. Even when everyone agrees "something should change," most of us quietly mean other people should change first. In workshops, a tiny experiment proves it: put your watch on the other wrist or fold your arms the "wrong" way. Your brain throws a mini tantrum. That discomfort is what you're up against in every change initiative—whether you're a sales manager in Japan rolling out a new CRM process, or a team lead in the United States trying to shift meeting culture post-pandemic. In practice, logic explains change, but emotion powers it. People act on feeling, then justify with reasons. Do now: Identify the one habit your audience is clinging to—and name the discomfort your change will create. What's the first step to get others to take action? Start with the end in mind: choose one concrete action that is easy to understand and feels easy to do. If the action sounds complicated, political, or time-consuming, motivation evaporates. Leaders often blow it here by proposing "transformation" instead of a single step: "be more customer-centric," "collaborate better," "innovate faster." That's fog, not action. A better move is something measurable: "book three customer interviews this week," "open every proposal with a problem statement," "run a 15-minute pre-brief before the monthly meeting." This works in startups and multinationals because it reduces cognitive load—the brain loves clarity. Make the action small enough to start, but meaningful enough to matter. Do now: Write the action as a verb + object + deadline (e.g., "Call five dormant clients by Friday"). How do you make the audience actually want to do it? You must attach a strong "what's in it for me" benefit that beats the comfort of doing nothing. People don't resist change—they resist loss: time, status, certainty, competence, control. So the benefit can't be vague ("better culture") or distant ("future growth"). It needs punch: less rework, fewer angry customers, faster deals, fewer escalations, more autonomy, more commission, more trust from senior leadership. This is where comparisons help: what motivates action in Australia may be framed around practicality and time; in Japan it may be framed around risk reduction, quality, and team credibility; in the US it may lean toward speed and individual ownership. Same human wiring—different packaging. Do now: Pick one benefit and make it tangible: "This saves you two hours a week" beats "This improves productivity." Why does "telling people what to do" backfire? Because direct instructions trigger resistance, especially in experienced teams who think, "Don't boss me." If you open with the action, you invite critics to immediately attack it. Executives at firms like Toyota and Rakuten (and frankly, any organisation with smart people) have learned that persuasion is smoother when the audience arrives at the conclusion themselves. That's why context matters: when listeners hear the reality, they often decide the action is sensible before you recommend it. You're not forcing them—you're guiding them. This is especially useful across cultures and hierarchies, where blunt "do this" language can be interpreted as disrespectful or naïve. Do now: Remove your first-slide instruction. Replace it with the situation that makes the change feel inevitable. How do you use storytelling to drive action in a talk? Tell the incident with enough real-world detail that people can see it—and feel it—in their mind's eye. Story is the bridge between logic and emotion. Use people, place, season, and time. Not because it's "cute," but because specificity creates belief. "Last quarter, in our Tokyo client meeting…" lands harder than "sometimes clients…" A story can be your experience, a customer moment, a mistake, a near miss, or a win—anything that explains why you believe the action matters. This is where you build credibility without preaching. Keep it tight, but vivid. The goal isn't theatre; the goal is emotional engagement that makes action feel like relief. Do now: Draft a 60–90 second incident story with (1) who, (2) where, (3) what happened, (4) what it cost. What is the "Magic Formula" for motivating others to action? Plan your talk as action → benefit → incident, but deliver it in reverse: incident → action → benefit. This is the Magic Formula.  Here's why it works: the incident neutralises opposition. Instead of a room full of critics, you create a room full of co-diagnosticians. They hear the context, they connect the dots, and they start forming the same conclusion you already reached. By the time you state the action, they're mentally ahead of you—agreeing. Keep it disciplined: one action only, and one strongest benefit only. Multiple actions split attention; multiple benefits dilute impact. This is as true in B2B sales as it is in leadership change programs. Do now: Build your next talk in three parts: Incident (70%), Action (15%), Benefit (15%). One action. One best benefit. Conclusion: turning agreement into action Motivation isn't magic—it's design. When you make the action clear, the benefit personal, and the story vivid, you stop fighting human nature and start working with it. Whether you're leading change in Japan, selling into global accounts, or trying to shift internal behaviour, the goal is the same: move people from "interesting" to "I'm doing it." Quick next steps for leaders Write your one action in a single sentence. Choose your one strongest benefit (make it measurable). Script your incident story with real detail. Deliver in this order: Incident → Action → Benefit. End with a deadline and an immediate first step. Author bio Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across leadership, communication, sales, and presentation programs, including Leadership Training for Results.  He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー).  Greg also publishes daily business insights on LinkedIn, Facebook, and X, and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews, which are widely followed by executives seeking success strategies in Japan. 

Throughout history, women played a powerful role in shaping the city we know today.I'm joined by Beth Santos and Nikki Padilla Rivera, passionate storytellers from She Shapes History NYC, who are leading walking tours exploring the hidden stories of women who challenged power, rewrote laws, organized communities, and built lasting change across New York City.Read blog post: https://thoughtcard.com/she-shapes-history-nyc-tours/We also talk about what makes this guided New York City walking tour different from others, the types of travelers and locals who will love this experience, and what participants can expect to walk away with.If you love meaningful travel experiences, cultural storytelling, and discovering the untold stories behind famous places, this episode is for you.➡️ Book a She Shapes History guided walking tour using the promo code ‘TTC100' to get (2) tickets for $100. (Link: https://thoughtcard.com/she-shapes-history) Connect with She Shapes History NYC Website: https://sheshapeshistory.com/new-yorkFollow on Instagram: sheshapeshistorynyc (Link: https://www.instagram.com/sheshapeshistorynyc) Other Episodes You'll Love Why Winter is the Best Time to Visit New York City - Episode 186Affordable Vacation Spots in the U.S. - Episode 172How To Achieve Your Travel Goals Step-by-Step - Episode 182 Connect With Danielle Desir Corbett Website: www.thoughtcard.comNewsletter: ​​https://thethoughtcard.substack.com/Instagram: @thedaniellecorbett Work With Me:Email thethoughtcard@gmail.com for brand partnerships and business inquiries. Resources & Recommendations: ➡️ Sign up for a high-yield savings account with Ally Bank➡️ Sign up for Rakuten and earn cash back on purchases➡️ Earn points by snapping photos of receipts with Fetch Support the Show Directly:Leave a review in your podcast app—it helps other listeners discover the showShare this episode with family and friends who love travel and history

Throughout history, women played a powerful role in shaping the city we know today.   I'm joined by Beth Santos and Nikki Padilla Rivera, passionate storytellers from She Shapes History NYC, who are leading walking tours exploring the hidden stories of women who challenged power, rewrote laws, organized communities, and built lasting change across New York City.  We also talk about what makes this guided New York City walking tour different from others, the types of travelers and locals who will love this experience, and what participants can expect to walk away with. If you love meaningful travel experiences, cultural storytelling, and discovering the untold stories behind famous places, this episode is for you. ➡️ Book a She Shapes History NYC guided walking tour using the promo code 'TTC100' to get (2) tickets for $100.   Connect with She Shapes History NYC  Website: https://sheshapeshistory.com/new-york  Follow on Instagram: sheshapeshistorynyc (Link: https://www.instagram.com/sheshapeshistorynyc)    Other Episodes You'll Love  Why Winter is the Best Time to Visit New York City - Episode 186  Affordable Vacation Spots in the U.S. - Episode 172 How To Achieve Your Travel Goals Step-by-Step - Episode 182    Connect With Danielle Desir Corbett  Website: www.thoughtcard.com  Newsletter: ​​https://thethoughtcard.substack.com/   Instagram: @thedaniellecorbett   Work With Me: Email thethoughtcard@gmail.com for brand partnerships and business inquiries.    Resources & Recommendations:   ➡️ Sign up for a high-yield savings account with Ally Bank ➡️ Sign up for Rakuten and earn cash back on purchases ➡️ Earn points by snapping photos of receipts with Fetch    Support the Show Directly: Leave a review in your podcast app—it helps other listeners discover the show Share this episode with family and friends who love travel and history  

This week on Sibling Watchery, Bob and Monét recap RuPaul's Drag Race Season 18, Episode 7. They get into Ciara's elimination after calling countless meetings, Rate-A-Queen receipts, and the political challenge strategy. They question Athena's frustration with alliances, wonder if Myki is actually playing a revenge game, and discuss whether Nini's placement feels personal. On the runway, Bob calls out Darlene's fashion edge, Athena's aging aesthetic, and whether Juicy's lip syncs are starting to feel repetitive. Plus, Monét shares advice for future Drag Race contestants. Thanks to our sponsors: -Take the first step. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://WaldenU.edu -Download the free Rakuten App or go to ⁠Rakuten.com⁠ to start saving today. -Buy any 2 cans of Olipop in store, and they'll pay you back for one. Works on any flavor: ⁠drinkolipop.com/RIVALRY -Our listeners get 15% off plus free shipping when they buy two or more pairs of prescription glasses at ⁠WarbyParker.com/RIVALRY — using our link helps support the show. #WarbyParker #ad -Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at ⁠https://www.rula.com/rivalry Want to see exclusive Sibling Rivalry Bonus Content? Head over to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.patreon.com/siblingrivalrypodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to be the first to see our latest Sibling Rivalry Podcast Videos! @BobTheDragQueen @MonetXChange Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of The Negotiation, host Todd Embley welcomes Tom Simpson, Managing Director of China Operations and China Chief Representative for the China-Britain Business Council (CBBC)—one of the leading organizations supporting UK businesses in China and strengthening bilateral commercial ties.Tom joins the show to unpack Prime Minister Sir Keir Starmer's recent visit to China—the first by a UK leader in eight years—and what it means for British business and UK-China relations. With deep expertise in bilateral trade and on-the-ground operations in China, Tom provides an insider perspective on the specific outcomes of the trip, CBBC's role during the visit, and what comes next for UK companies navigating the Chinese market.From visa-free travel to tariff reductions, Tom walks through the concrete agreements reached and explores what they mean for different sectors of the UK economy. The conversation also addresses the ongoing challenges and opportunities UK businesses face in China, and where the greatest potential lies for UK-China commercial cooperation in the years ahead.Discussion Points·       Historical background to PM Starmer's visit—why the eight-year gap and how the trip came about·       Whether the visit achieved a meaningful reset in UK-China relations·       Specific agreements and announcements: visa-free travel, tariff reductions, and other key outcomes·       CBBC's role during the trip and member reactions·       Current challenges and opportunities for UK companies operating in China·       Priority areas for UK-China commercial cooperation over the next few years·       Key message for UK business leaders is still uncertain about China as a market

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ++++++ ** 和阿肯輕鬆閒聊，從屏東一路越聊越偏～** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** 永豐SPORT卡是一張用汗水賺回饋的信用卡，只要每月加入永豐銀行的“DACARD”APP，參加【支持運動Podcast】揪團活動，達成app裡設計的運動目標，同時當月刷永豐SPORT卡，永豐銀行就會幫你抖內大叔野球543，抖內金額是每個卡戶刷卡消費的1%，或是一個人最多上限50元/月，再加上卡片本身是有最高5%回饋，就算運動沒達標，仍然有不錯的回饋讓大家來參考。支持永豐sport卡，支持大叔野球543，我們每年都會提撥固定比例跟你贊助基層棒球。最後還是要謹慎理財，信用至上 申辦SPORT卡：https://mma.tw/O03BB “每月抖內254，大叔野球有意思” “月月贊助254，台灣棒球有好事” ** 大叔最新贊助方案已經上線啦** ** 希望用每月贊助的方式，能讓節目更好，也讓大叔們有更多力量支持台灣棒球★https://www.zeczec.com/projects/BaseballUncle543★** ** 有興趣合作的廠商歡迎私訊或email聊聊** ** email：baseballuncle543@outlook.com** ** IG：baseballuncle543** ** FB：大叔野球543** －－－－以下為 SoundOn 動態廣告－－－－ The All-New Ford Kuga 歐洲超能智駕跑旅，是你的最佳駕馭拍檔

Listening is the most underrated sales skill because it's the one that actually tells you what the buyer is thinking, not what you wish they were thinking.  Most salespeople believe they listen well, but in real conversations—especially under pressure—we drift into habits that feel like listening while we're actually rehearsing our next line. In Japan, in the US, in Europe—whether you're selling to an SME, a startup, or a multinational—buyers can feel when you're not fully present. Are you really listening to the buyer—or just waiting to talk? Most salespeople aren't listening; they're mentally queuing up their next point, and the buyer can hear the delay. This shows up in every market: a SaaS rep in San Francisco, a relationship banker in London, or an account manager in Tokyo can look attentive while their mind is sprinting ahead. The trigger is usually one "important" phrase—budget, competitor, timing—then your attention snaps away from the buyer and into your internal monologue. You're still hearing, but you're not taking in. That gap matters because buyers don't only communicate in words. In executive-level meetings at firms like Toyota or Rakuten, meaning often sits inside tone, pace, hesitations, and what goes unsaid. Post-pandemic, with more hybrid calls on Zoom or Teams, these cues are easier to miss—unless you deliberately train for them. Do now: Treat every buyer conversation like a live intelligence feed: if you're writing your reply in your head, you've stopped listening. What are the five levels of listening in sales? There are five levels—Ignore, Pretend, Selective, Attentive, and Empathetic—and most sales calls hover around levels 2 or 3.  Ignore doesn't mean staring at your phone; it can mean being hijacked by your own thoughts the moment the buyer says something provocative. Pretend looks like nodding, eye contact, "mm-hmm"—but your brain is busy building the pitch. Selective listening is the killer in modern B2B: you filter for "yes/no" buying signals, but you miss the conditions attached to them (timeline, stakeholders, risk concerns). Attentive listening is full-focus: no interruptions, no filtering, paraphrasing to confirm. Empathetic listening goes further—eyes and ears—reading what's behind the words and "meeting the buyer in the conversation going on in their mind." That's as relevant in procurement-heavy Japan as it is in fast-moving US sales teams. Do now: Identify which level you default to under pressure—and train upward, not sideways. What does "ignoring the client" look like if you're still in the room? You can "ignore" a buyer while looking directly at them—by following your own thoughts instead of their words. This is common when the client says something that sparks urgency: "We're also talking to your competitor," "Budget is tight," "We need this by Q2." The moment you latch onto that, the rest of what they say fades into the mist because you're fixated on the counterpoint you must deliver. In enterprise sales, this is where deals quietly die: you respond to the wrong problem, at the wrong depth, to the wrong stakeholder. In Japan, where meaning can be indirect and consensus-based, this is riskier—what's not said can be the real message. In Australia, where communication is often more direct, you can still miss the nuance in tone—especially in remote calls where you're juggling slides, notes, and chat. Do now: When you feel triggered, pause and mentally label it: "That's my ego talking—back to the buyer." Why do salespeople "pretend" to listen—and how can you spot it? Pretend listening happens when your body language says "I'm with you" but your mind is already pitching, defending, or debating.  You nod. You lean in. You look professional. But internally you're preparing the product dump, building the objection-handling case, or rehearsing the "killer story." It's the classic "lights are on, but you're not home" dynamic—common across industries like consulting, insurance, tech, and professional services. The modern version is worse: you're also glancing at CRM notes, Slack messages, or the next meeting timer. Buyers notice because your responses don't quite match what they said. You answer a question they didn't ask, or you jump too early. In negotiation-heavy environments (Japan, Germany, regulated sectors), this reads as disrespect. In faster markets (US startups), it reads as shallow. Do now: After the buyer speaks, summarise in one sentence before you respond with anything else. Is "selective listening" efficient—or does it sabotage sales outcomes? Selective listening is efficient for hearing buying signals, but it often sabotages effectiveness by skipping the context that makes the "yes" or "no" meaningful.  Salespeople are trained to hunt for signals: interest, hesitation, resistance. But if you only listen for yes/no, you miss the conditions attached—like internal politics, compliance concerns, implementation capacity, or fear of change. You also jump the gun: you hear the "no" early and start crafting your rebuttal while the buyer is still explaining why. The Japan example is instructive: because the verb often arrives at the end of the sentence, you're forced to hear the whole thought before reacting. In English, you can start manufacturing your reply mid-sentence, which feels fast but can be sloppy. Across APAC, where indirectness can be a politeness strategy, selective listening becomes a deal-killer because the meaning sits in the qualifiers. Do now: Don't respond to the first "yes/no." Wait for the full sentence—then ask one clarifying question. What's the difference between attentive listening and empathetic listening—and which closes deals? Attentive listening makes you accurate; empathetic listening makes you influential because it reveals what the buyer is really protecting.  Attentive listening is full presence: you don't interrupt, you don't filter, you paraphrase to confirm understanding. This alone differentiates you in any market—Japan, the US, Europe—because most professionals are distracted. Empathetic listening is the next level: you listen with your eyes and ears, tracking tone, body language, and what isn't being said. You sense anxiety behind a budget objection, or politics behind a "we'll think about it." You aim to "meet the buyer in the conversation going on in their mind," which is exactly what executive-level selling requires. In leadership cultures where saving face matters (Japan, parts of Asia), empathy helps you surface concerns safely. In direct cultures (Australia, US), empathy helps you avoid brute-force pitching and instead guide the decision. Do now: Paraphrase the facts, then reflect the feeling: "It sounds like timing isn't the only concern here." Conclusion If you want to sell more, stop trying to be more persuasive and start trying to be more present. The five levels of listening are a diagnostic tool: most salespeople drift between Pretend and Selective because their brain is busy performing. Attentive listening earns trust. Empathetic listening uncovers truth. And the fastest way to improve your buyer conversations is to practise listening where it's hardest—at home, with people who don't have to pay you to stay polite. Author credentials Dr. Greg Story, Ph.D. in Japanese Decision-Making, is President of Dale Carnegie Tokyo Training and Adjunct Professor at Griffith University. He is a two-time winner of the Dale Carnegie "One Carnegie Award" (2018, 2021) and recipient of the Griffith University Business School Outstanding Alumnus Award (2012). As a Dale Carnegie Master Trainer, Greg is certified to deliver globally across all leadership, communication, sales, and presentation programs, including Leadership Training for Results.  He has written several books, including three best-sellers — Japan Business Mastery, Japan Sales Mastery, and Japan Presentations Mastery — along with Japan Leadership Mastery and How to Stop Wasting Money on Training. His works have been translated into Japanese, including Za Eigyō (ザ営業), Purezen no Tatsujin (プレゼンの達人), Torēningu de Okane o Muda ni Suru no wa Yamemashō (トレーニングでお金を無駄にするのはやめましょう), and Gendaiban "Hito o Ugokasu" Rīdā (現代版「人を動かす」リーダー).  Greg also publishes daily business insights on LinkedIn, Facebook, and Twitter, and hosts six weekly podcasts. On YouTube, he produces The Cutting Edge Japan Business Show, Japan Business Mastery, and Japan's Top Business Interviews, which are widely followed by executives seeking success strategies in Japan. 

Japan's Rakuten Group Inc. said Thursday that it logged a consolidated net loss of 177.8 billion yen in the fiscal year ended December 2025, marking the seventh consecutive year of red ink.

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ** ++++++** ** 小閒聊：生活小抱怨 (00:47)** ** 宣導事項：過年的那一集安排 (05:17)** ** 本集手動對焦題目 (06:24)** ** 留言回覆 (07:25)** ** ++++++** 球隊新聞 ** 艾菩樂(Tyler Eppler)加盟 (20:42)** ** WBC名單裡的桃猿球員 (24:51)** ** 銀次與岡島豪郎的短期客座 (27:08)** ** 石垣島的先發投手 (28:44)** ** ++++++** ** 訪聊心得：董事長樂團 吉董 (30:08)** ** 手動對焦：聊聊CONTAX T3 (36:50)** ** - CONTAX的歷史** ** - 什麼是Point and Shoot 輕便相機** ** - CONTAX T 系列介紹** ** - CONTAX T3 規格介紹** ** - 為什麼T3從昔日精品變成昂貴的理財神器** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** 永豐SPORT卡是一張用汗水賺回饋的信用卡，只要每月加入永豐銀行的“DACARD”APP，參加【支持運動Podcast】揪團活動，達成app裡設計的運動目標，同時當月刷永豐SPORT卡，永豐銀行就會幫你抖內大叔野球543，抖內金額是每個卡戶刷卡消費的1%，或是一個人最多上限50元/月，再加上卡片本身是有最高5%回饋，就算運動沒達標，仍然有不錯的回饋讓大家來參考。支持永豐sport卡，支持大叔野球543，我們每年都會提撥固定比例跟你贊助基層棒球。最後還是要謹慎理財，信用至上 申辦SPORT卡：https://mma.tw/O03BB “每月抖內254，大叔野球有意思” “月月贊助254，台灣棒球有好事” ** 大叔最新贊助方案已經上線啦** ** 希望用每月贊助的方式，能讓節目更好，也讓大叔們有更多力量支持台灣棒球★https://www.zeczec.com/projects/BaseballUncle543★** ** 有興趣合作的廠商歡迎私訊或email聊聊** ** email：baseballuncle543@outlook.com** ** IG：baseballuncle543** ** FB：大叔野球543** －－－－以下為 SoundOn 動態廣告－－－－ The All-New Ford Kuga 歐洲超能智駕跑旅，是你的最佳駕馭拍檔

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are trying to turn “peeking inside the model” into a repeatable production workflow by shipping APIs, landing real enterprise deployments, and now scaling the bet with a recent $150M Series B funding round at a $1.25B valuation.In this episode, we go far beyond the usual “SAEs are cool” take. We talk about Goodfire's core bet: that the AI lifecycle is still fundamentally broken because the only reliable control we have is data and we post-train, RLHF, and fine-tune by “slurping supervision through a straw,” hoping the model picks up the right behaviors while quietly absorbing the wrong ones. Goodfire's answer is to build a bi-directional interface between humans and models: read what's happening inside, edit it surgically, and eventually use interpretability during training so customization isn't just brute-force guesswork.Mark and Myra walk through what that looks like when you stop treating interpretability like a lab demo and start treating it like infrastructure: lightweight probes that add near-zero latency, token-level safety filters that can run at inference time, and interpretability workflows that survive messy constraints (multilingual inputs, synthetic→real transfer, regulated domains, no access to sensitive data). We also get a live window into what “frontier-scale interp” means operationally (i.e. steering a trillion-parameter model in real time by targeting internal features) plus why the same tooling generalizes cleanly from language models to genomics, medical imaging, and “pixel-space” world models.We discuss:* Myra + Mark's path: Palantir (health systems, forward-deployed engineering) → Goodfire early team; Two Sigma → Head of Product, translating frontier interpretability research into a platform and real-world deployments* What “interpretability” actually means in practice: not just post-hoc poking, but a broader “science of deep learning” approach across the full AI lifecycle (data curation → post-training → internal representations → model design)* Why post-training is the first big wedge: “surgical edits” for unintended behaviors likereward hacking, sycophancy, noise learned during customization plus the dream of targeted unlearning and bias removal without wrecking capabilities* SAEs vs probes in the real world: why SAE feature spaces sometimes underperform classifiers trained on raw activations for downstream detection tasks (hallucination, harmful intent, PII), and what that implies about “clean concept spaces”* Rakuten in production: deploying interpretability-based token-level PII detection at inference time to prevent routing private data to downstream providers plus the gnarly constraints: no training on real customer PII, synthetic→real transfer, English + Japanese, and tokenization quirks* Why interp can be operationally cheaper than LLM-judge guardrails: probes are lightweight, low-latency, and don't require hosting a second large model in the loop* Real-time steering at frontier scale: a demo of steering Kimi K2 (~1T params) live and finding features via SAE pipelines, auto-labeling via LLMs, and toggling a “Gen-Z slang” feature across multiple layers without breaking tool use* Hallucinations as an internal signal: the case that models have latent uncertainty / “user-pleasing” circuitry you can detect and potentially mitigate more directly than black-box methods* Steering vs prompting: the emerging view that activation steering and in-context learning are more closely connected than people think, including work mapping between the two (even for jailbreak-style behaviors)* Interpretability for science: using the same tooling across domains (genomics, medical imaging, materials) to debug spurious correlations and extract new knowledge up to and including early biomarker discovery work with major partners* World models + “pixel-space” interpretability: why vision/video models make concepts easier to see, how that accelerates the feedback loop, and why robotics/world-model partners are especially interesting design partners* The north star: moving from “data in, weights out” to intentional model design where experts can impart goals and constraints directly, not just via reward signals and brute-force post-training—Goodfire AI* Website: https://goodfire.ai* LinkedIn: https://www.linkedin.com/company/goodfire-ai/* X: https://x.com/GoodfireAIMyra Deng* Website: https://myradeng.com/* LinkedIn: https://www.linkedin.com/in/myra-deng/* X: https://x.com/myra_dengMark Bissell* LinkedIn: https://www.linkedin.com/in/mark-bissell/* X: https://x.com/MarkMBissellFull Video EpisodeTimestamps00:00:00 Introduction00:00:05 Introduction to the Latent Space Podcast and Guests from Goodfire00:00:29 What is Goodfire? Mission and Focus on Interpretability00:01:01 Goodfire's Practical Approach to Interpretability00:01:37 Goodfire's Series B Fundraise Announcement00:02:04 Backgrounds of Mark and Myra from Goodfire00:02:51 Team Structure and Roles at Goodfire00:05:13 What is Interpretability? Definitions and Techniques00:05:30 Understanding Errors00:07:29 Post-training vs. Pre-training Interpretability Applications00:08:51 Using Interpretability to Remove Unwanted Behaviors00:10:09 Grokking, Double Descent, and Generalization in Models00:10:15 404 Not Found Explained00:12:06 Subliminal Learning and Hidden Biases in Models00:14:07 How Goodfire Chooses Research Directions and Projects00:15:00 Troubleshooting Errors00:16:04 Limitations of SAEs and Probes in Interpretability00:18:14 Rakuten Case Study: Production Deployment of Interpretability00:20:45 Conclusion00:21:12 Efficiency Benefits of Interpretability Techniques00:21:26 Live Demo: Real-Time Steering in a Trillion Parameter Model00:25:15 How Steering Features are Identified and Labeled00:26:51 Detecting and Mitigating Hallucinations Using Interpretability00:31:20 Equivalence of Activation Steering and Prompting00:34:06 Comparing Steering with Fine-Tuning and LoRA Techniques00:36:04 Model Design and the Future of Intentional AI Development00:38:09 Getting Started in Mechinterp: Resources, Programs, and Open Problems00:40:51 Industry Applications and the Rise of Mechinterp in Practice00:41:39 Interpretability for Code Models and Real-World Usage00:43:07 Making Steering Useful for More Than Stylistic Edits00:46:17 Applying Interpretability to Healthcare and Scientific Discovery00:49:15 Why Interpretability is Crucial in High-Stakes Domains like Healthcare00:52:03 Call for Design Partners Across Domains00:54:18 Interest in World Models and Visual Interpretability00:57:22 Sci-Fi Inspiration: Ted Chiang and Interpretability01:00:14 Interpretability, Safety, and Alignment Perspectives01:04:27 Weak-to-Strong Generalization and Future Alignment Challenges01:05:38 Final Thoughts and Hiring/Collaboration Opportunities at GoodfireTranscriptShawn Wang [00:00:05]: So welcome to the Latent Space pod. We're back in the studio with our special MechInterp co-host, Vibhu. Welcome. Mochi, Mochi's special co-host. And Mochi, the mechanistic interpretability doggo. We have with us Mark and Myra from Goodfire. Welcome. Thanks for having us on. Maybe we can sort of introduce Goodfire and then introduce you guys. How do you introduce Goodfire today?Myra Deng [00:00:29]: Yeah, it's a great question. So Goodfire, we like to say, is an AI research lab that focuses on using interpretability to understand, learn from, and design AI models. And we really believe that interpretability will unlock the new generation, next frontier of safe and powerful AI models. That's our description right now, and I'm excited to dive more into the work we're doing to make that happen.Shawn Wang [00:00:55]: Yeah. And there's always like the official description. Is there an understatement? Is there an unofficial one that sort of resonates more with a different audience?Mark Bissell [00:01:01]: Well, being an AI research lab that's focused on interpretability, there's obviously a lot of people have a lot that they think about when they think of interpretability. And I think we have a pretty broad definition of what that means and the types of places that can be applied. And in particular, applying it in production scenarios, in high stakes industries, and really taking it sort of from the research world into the real world. Which, you know. It's a new field, so that hasn't been done all that much. And we're excited about actually seeing that sort of put into practice.Shawn Wang [00:01:37]: Yeah, I would say it wasn't too long ago that Anthopic was like still putting out like toy models or superposition and that kind of stuff. And I wouldn't have pegged it to be this far along. When you and I talked at NeurIPS, you were talking a little bit about your production use cases and your customers. And then not to bury the lead, today we're also announcing the fundraise, your Series B. $150 million. $150 million at a 1.25B valuation. Congrats, Unicorn.Mark Bissell [00:02:02]: Thank you. Yeah, no, things move fast.Shawn Wang [00:02:04]: We were talking to you in December and already some big updates since then. Let's dive, I guess, into a bit of your backgrounds as well. Mark, you were at Palantir working on health stuff, which is really interesting because the Goodfire has some interesting like health use cases. I don't know how related they are in practice.Mark Bissell [00:02:22]: Yeah, not super related, but I don't know. It was helpful context to know what it's like. Just to work. Just to work with health systems and generally in that domain. Yeah.Shawn Wang [00:02:32]: And Mara, you were at Two Sigma, which actually I was also at Two Sigma back in the day. Wow, nice.Myra Deng [00:02:37]: Did we overlap at all?Shawn Wang [00:02:38]: No, this is when I was briefly a software engineer before I became a sort of developer relations person. And now you're head of product. What are your sort of respective roles, just to introduce people to like what all gets done in Goodfire?Mark Bissell [00:02:51]: Yeah, prior to Goodfire, I was at Palantir for about three years as a forward deployed engineer, now a hot term. Wasn't always that way. And as a technical lead on the health care team and at Goodfire, I'm a member of the technical staff. And honestly, that I think is about as specific as like as as I could describe myself because I've worked on a range of things. And, you know, it's it's a fun time to be at a team that's still reasonably small. I think when I joined one of the first like ten employees, now we're above 40, but still, it looks like there's always a mix of research and engineering and product and all of the above. That needs to get done. And I think everyone across the team is, you know, pretty, pretty switch hitter in the roles they do. So I think you've seen some of the stuff that I worked on related to image models, which was sort of like a research demo. More recently, I've been working on our scientific discovery team with some of our life sciences partners, but then also building out our core platform for more of like flexing some of the kind of MLE and developer skills as well.Shawn Wang [00:03:53]: Very generalist. And you also had like a very like a founding engineer type role.Myra Deng [00:03:58]: Yeah, yeah.Shawn Wang [00:03:59]: So I also started as I still am a member of technical staff, did a wide range of things from the very beginning, including like finding our office space and all of this, which is we both we both visited when you had that open house thing. It was really nice.Myra Deng [00:04:13]: Thank you. Thank you. Yeah. Plug to come visit our office.Shawn Wang [00:04:15]: It looked like it was like 200 people. It has room for 200 people. But you guys are like 10.Myra Deng [00:04:22]: For a while, it was very empty. But yeah, like like Mark, I spend. A lot of my time as as head of product, I think product is a bit of a weird role these days, but a lot of it is thinking about how do we take our frontier research and really apply it to the most important real world problems and how does that then translate into a platform that's repeatable or a product and working across, you know, the engineering and research teams to make that happen and also communicating to the world? Like, what is interpretability? What is it used for? What is it good for? Why is it so important? All of these things are part of my day-to-day as well.Shawn Wang [00:05:01]: I love like what is things because that's a very crisp like starting point for people like coming to a field. They all do a fun thing. Vibhu, why don't you want to try tackling what is interpretability and then they can correct us.Vibhu Sapra [00:05:13]: Okay, great. So I think like one, just to kick off, it's a very interesting role to be head of product, right? Because you guys, at least as a lab, you're more of an applied interp lab, right? Which is pretty different than just normal interp, like a lot of background research. But yeah. You guys actually ship an API to try these things. You have Ember, you have products around it, which not many do. Okay. What is interp? So basically you're trying to have an understanding of what's going on in model, like in the model, in the internal. So different approaches to do that. You can do probing, SAEs, transcoders, all this stuff. But basically you have an, you have a hypothesis. You have something that you want to learn about what's happening in a model internals. And then you're trying to solve that from there. You can do stuff like you can, you know, you can do activation mapping. You can try to do steering. There's a lot of stuff that you can do, but the key question is, you know, from input to output, we want to have a better understanding of what's happening and, you know, how can we, how can we adjust what's happening on the model internals? How'd I do?Mark Bissell [00:06:12]: That was really good. I think that was great. I think it's also a, it's kind of a minefield of a, if you ask 50 people who quote unquote work in interp, like what is interpretability, you'll probably get 50 different answers. And. Yeah. To some extent also like where, where good fire sits in the space. I think that we're an AI research company above all else. And interpretability is a, is a set of methods that we think are really useful and worth kind of specializing in, in order to accomplish the goals we want to accomplish. But I think we also sort of see some of the goals as even more broader as, as almost like the science of deep learning and just taking a not black box approach to kind of any part of the like AI development life cycle, whether that. That means using interp for like data curation while you're training your model or for understanding what happened during post-training or for the, you know, understanding activations and sort of internal representations, what is in there semantically. And then a lot of sort of exciting updates that were, you know, are sort of also part of the, the fundraise around bringing interpretability to training, which I don't think has been done all that much before. A lot of this stuff is sort of post-talk poking at models as opposed to. To actually using this to intentionally design them.Shawn Wang [00:07:29]: Is this post-training or pre-training or is that not a useful.Myra Deng [00:07:33]: Currently focused on post-training, but there's no reason the techniques wouldn't also work in pre-training.Shawn Wang [00:07:38]: Yeah. It seems like it would be more active, applicable post-training because basically I'm thinking like rollouts or like, you know, having different variations of a model that you can tweak with the, with your steering. Yeah.Myra Deng [00:07:50]: And I think in a lot of the news that you've seen in, in, on like Twitter or whatever, you've seen a lot of unintended. Side effects come out of post-training processes, you know, overly sycophantic models or models that exhibit strange reward hacking behavior. I think these are like extreme examples. There's also, you know, very, uh, mundane, more mundane, like enterprise use cases where, you know, they try to customize or post-train a model to do something and it learns some noise or it doesn't appropriately learn the target task. And a big question that we've always had is like, how do you use your understanding of what the model knows and what it's doing to actually guide the learning process?Shawn Wang [00:08:26]: Yeah, I mean, uh, you know, just to anchor this for people, uh, one of the biggest controversies of last year was 4.0 GlazeGate. I've never heard of GlazeGate. I didn't know that was what it was called. The other one, they called it that on the blog post and I was like, well, how did OpenAI call it? Like officially use that term. And I'm like, that's funny, but like, yeah, I guess it's the pitch that if they had worked a good fire, they wouldn't have avoided it. Like, you know what I'm saying?Myra Deng [00:08:51]: I think so. Yeah. Yeah.Mark Bissell [00:08:53]: I think that's certainly one of the use cases. I think. Yeah. Yeah. I think the reason why post-training is a place where this makes a lot of sense is a lot of what we're talking about is surgical edits. You know, you want to be able to have expert feedback, very surgically change how your model is doing, whether that is, you know, removing a certain behavior that it has. So, you know, one of the things that we've been looking at or is, is another like common area where you would want to make a somewhat surgical edit is some of the models that have say political bias. Like you look at Quen or, um, R1 and they have sort of like this CCP bias.Shawn Wang [00:09:27]: Is there a CCP vector?Mark Bissell [00:09:29]: Well, there's, there are certainly internal, yeah. Parts of the representation space where you can sort of see where that lives. Yeah. Um, and you want to kind of, you know, extract that piece out.Shawn Wang [00:09:40]: Well, I always say, you know, whenever you find a vector, a fun exercise is just like, make it very negative to see what the opposite of CCP is.Mark Bissell [00:09:47]: The super America, bald eagles flying everywhere. But yeah. So in general, like lots of post-training tasks where you'd want to be able to, to do that. Whether it's unlearning a certain behavior or, you know, some of the other kind of cases where this comes up is, are you familiar with like the, the grokking behavior? I mean, I know the machine learning term of grokking.Shawn Wang [00:10:09]: Yeah.Mark Bissell [00:10:09]: Sort of this like double descent idea of, of having a model that is able to learn a generalizing, a generalizing solution, as opposed to even if memorization of some task would suffice, you want it to learn the more general way of doing a thing. And so, you know, another. A way that you can think about having surgical access to a model's internals would be learn from this data, but learn in the right way. If there are many possible, you know, ways to, to do that. Can make interp solve the double descent problem?Shawn Wang [00:10:41]: Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you're like, well, if the loss curves level out, then you're done, but maybe you're not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you're doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you're just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah.Mark Bissell [00:11:11]: I think that's certainly like the domain of, of problems that we're, that we're looking to get.Shawn Wang [00:11:15]: Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don't need, you need to know where to scale. And. But if you believe in double descent, then you don't, you don't believe in anything where like anything levels off, like.Vibhu Sapra [00:11:30]: I mean, also tendentially there's like, okay, when you talk about the China vector, right. There's the subliminal learning work. It was from the anthropic fellows program where basically you can have hidden biases in a model. And as you distill down or, you know, as you train on distilled data, those biases always show up, even if like you explicitly try to not train on them. So, you know, it's just like another use case of. Okay. If we can interpret what's happening in post-training, you know, can we clear some of this? Can we even determine what's there? Because yeah, it's just like some worrying research that's out there that shows, you know, we really don't know what's going on.Mark Bissell [00:12:06]: That is. Yeah. I think that's the biggest sentiment that we're sort of hoping to tackle. Nobody knows what's going on. Right. Like subliminal learning is just an insane concept when you think about it. Right. Train a model on not even the logits, literally the output text of a bunch of random numbers. And now your model loves owls. And you see behaviors like that, that are just, they defy, they defy intuition. And, and there are mathematical explanations that you can get into, but. I mean.Shawn Wang [00:12:34]: It feels so early days. Objectively, there are a sequence of numbers that are more owl-like than others. There, there should be.Mark Bissell [00:12:40]: According to, according to certain models. Right. It's interesting. I think it only applies to models that were initialized from the same starting Z. Usually, yes.Shawn Wang [00:12:49]: But I mean, I think that's a, that's a cheat code because there's not enough compute. But like if you believe in like platonic representation, like probably it will transfer across different models as well. Oh, you think so?Mark Bissell [00:13:00]: I think of it more as a statistical artifact of models initialized from the same seed sort of. There's something that is like path dependent from that seed that might cause certain overlaps in the latent space and then sort of doing this distillation. Yeah. Like it pushes it towards having certain other tendencies.Vibhu Sapra [00:13:24]: Got it. I think there's like a bunch of these open-ended questions, right? Like you can't train in new stuff during the RL phase, right? RL only reorganizes weights and you can only do stuff that's somewhat there in your base model. You're not learning new stuff. You're just reordering chains and stuff. But okay. My broader question is when you guys work at an interp lab, how do you decide what to work on and what's kind of the thought process? Right. Because we can ramble for hours. Okay. I want to know this. I want to know that. But like, how do you concretely like, you know, what's the workflow? Okay. There's like approaches towards solving a problem, right? I can try prompting. I can look at chain of thought. I can train probes, SAEs. But how do you determine, you know, like, okay, is this going anywhere? Like, do we have set stuff? Just, you know, if you can help me with all that. Yeah.Myra Deng [00:14:07]: It's a really good question. I feel like we've always at the very beginning of the company thought about like, let's go and try to learn what isn't working in machine learning today. Whether that's talking to customers or talking to researchers at other labs, trying to understand both where the frontier is going and where things are really not falling apart today. And then developing a perspective on how we can push the frontier using interpretability methods. And so, you know, even our chief scientist, Tom, spends a lot of time talking to customers and trying to understand what real world problems are and then taking that back and trying to apply the current state of the art to those problems and then seeing where they fall down basically. And then using those failures or those shortcomings to understand what hills to climb when it comes to interpretability research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board and done work on that. And then, you know, we've done some work on better foundational interpreter models. And a lot of our team's research is focused on what is the next evolution beyond SAEs, for instance. And then when it comes to like control and design of models, you know, we tried steering with our first API and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case and how do we improve it beyond that? And one of our researchers, Ekdeep, who just joined is actually Ekdeep and Atticus are like steering experts and have spent a lot of time trying to figure out like, what is the research that enables us to actually do this in a much more powerful, robust way? So yeah, the answer is like, look at real world problems, try to translate that into a research agenda and then like hill climb on both of those at the same time.Shawn Wang [00:16:04]: Yeah. Mark has the steering CLI demo queued up, which we're going to go into in a sec. But I always want to double click on when you drop hints, like we found some problems with SAEs. Okay. What are they? You know, and then we can go into the demo. Yeah.Myra Deng [00:16:19]: I mean, I'm curious if you have more thoughts here as well, because you've done it in the healthcare domain. But I think like, for instance, when we do things like trying to detect behaviors within models that are harmful or like behaviors that a user might not want to have in their model. So hallucinations, for instance, harmful intent, PII, all of these things. We first tried using SAE probes for a lot of these tasks. So taking the feature activation space from SAEs and then training classifiers on top of that, and then seeing how well we can detect the properties that we might want to detect in model behavior. And we've seen in many cases that probes just trained on raw activations seem to perform better than SAE probes, which is a bit surprising if you think that SAEs are actually also capturing the concepts that you would want to capture cleanly and more surgically. And so that is an interesting observation. I don't think that is like, I'm not down on SAEs at all. I think there are many, many things they're useful for, but we have definitely run into cases where I think the concept space described by SAEs is not as clean and accurate as we would expect it to be for actual like real world downstream performance metrics.Mark Bissell [00:17:34]: Fair enough. Yeah. It's the blessing and the curse of unsupervised methods where you get to peek into the AI's mind. But sometimes you wish that you saw other things when you walked inside there. Although in the PII instance, I think weren't an SAE based approach actually did prove to be the most generalizable?Myra Deng [00:17:53]: It did work well in the case that we published with Rakuten. And I think a lot of the reasons it worked well was because we had a noisier data set. And so actually the blessing of unsupervised learning is that we actually got to get more meaningful, generalizable signal from SAEs when the data was noisy. But in other cases where we've had like good data sets, it hasn't been the case.Shawn Wang [00:18:14]: And just because you named Rakuten and I don't know if we'll get it another chance, like what is the overall, like what is Rakuten's usage or production usage? Yeah.Myra Deng [00:18:25]: So they are using us to essentially guardrail and inference time monitor their language model usage and their agent usage to detect things like PII so that they don't route private user information.Myra Deng [00:18:41]: And so that's, you know, going through all of their user queries every day. And that's something that we deployed with them a few months ago. And now we are actually exploring very early partnerships, not just with Rakuten, but with other people around how we can help with potentially training and customization use cases as well. Yeah.Shawn Wang [00:19:03]: And for those who don't know, like it's Rakuten is like, I think number one or number two e-commerce store in Japan. Yes. Yeah.Mark Bissell [00:19:10]: And I think that use case actually highlights a lot of like what it looks like to deploy things in practice that you don't always think about when you're doing sort of research tasks. So when you think about some of the stuff that came up there that's more complex than your idealized version of a problem, they were encountering things like synthetic to real transfer of methods. So they couldn't train probes, classifiers, things like that on actual customer data of PII. So what they had to do is use synthetic data sets. And then hope that that transfer is out of domain to real data sets. And so we can evaluate performance on the real data sets, but not train on customer PII. So that right off the bat is like a big challenge. You have multilingual requirements. So this needed to work for both English and Japanese text. Japanese text has all sorts of quirks, including tokenization behaviors that caused lots of bugs that caused us to be pulling our hair out. And then also a lot of tasks you'll see. You might make simplifying assumptions if you're sort of treating it as like the easiest version of the problem to just sort of get like general results where maybe you say you're classifying a sentence to say, does this contain PII? But the need that Rakuten had was token level classification so that you could precisely scrub out the PII. So as we learned more about the problem, you're sort of speaking about what that looks like in practice. Yeah. A lot of assumptions end up breaking. And that was just one instance where you. A problem that seems simple right off the bat ends up being more complex as you keep diving into it.Vibhu Sapra [00:20:41]: Excellent. One of the things that's also interesting with Interp is a lot of these methods are very efficient, right? So where you're just looking at a model's internals itself compared to a separate like guardrail, LLM as a judge, a separate model. One, you have to host it. Two, there's like a whole latency. So if you use like a big model, you have a second call. Some of the work around like self detection of hallucination, it's also deployed for efficiency, right? So if you have someone like Rakuten doing it in production live, you know, that's just another thing people should consider.Mark Bissell [00:21:12]: Yeah. And something like a probe is super lightweight. Yeah. It's no extra latency really. Excellent.Shawn Wang [00:21:17]: You have the steering demos lined up. So we were just kind of see what you got. I don't, I don't actually know if this is like the latest, latest or like alpha thing.Mark Bissell [00:21:26]: No, this is a pretty hacky demo from from a presentation that someone else on the team recently gave. So this will give a sense for, for technology. So you can see the steering and action. Honestly, I think the biggest thing that this highlights is that as we've been growing as a company and taking on kind of more and more ambitious versions of interpretability related problems, a lot of that comes to scaling up in various different forms. And so here you're going to see steering on a 1 trillion parameter model. This is Kimi K2. And so it's sort of fun that in addition to the research challenges, there are engineering challenges that we're now tackling. Cause for any of this to be sort of useful in production, you need to be thinking about what it looks like when you're using these methods on frontier models as opposed to sort of like toy kind of model organisms. So yeah, this was thrown together hastily, pretty fragile behind the scenes, but I think it's quite a fun demo. So screen sharing is on. So I've got two terminal sessions pulled up here. On the left is a forked version that we have of the Kimi CLI that we've got running to point at our custom hosted Kimi model. And then on the right is a set up that will allow us to steer on certain concepts. So I should be able to chat with Kimi over here. Tell it hello. This is running locally. So the CLI is running locally, but the Kimi server is running back to the office. Well, hopefully should be, um, that's too much to run on that Mac. Yeah. I think it's, uh, it takes a full, like each 100 node. I think it's like, you can. You can run it on eight GPUs, eight 100. So, so yeah, Kimi's running. We can ask it a prompt. It's got a forked version of our, uh, of the SG line code base that we've been working on. So I'm going to tell it, Hey, this SG line code base is slow. I think there's a bug. Can you try to figure it out? There's a big code base, so it'll, it'll spend some time doing this. And then on the right here, I'm going to initialize in real time. Some steering. Let's see here.Mark Bissell [00:23:33]: searching for any. Bugs. Feature ID 43205.Shawn Wang [00:23:38]: Yeah.Mark Bissell [00:23:38]: 20, 30, 40. So let me, uh, this is basically a feature that we found that inside Kimi seems to cause it to speak in Gen Z slang. And so on the left, it's still sort of thinking normally it might take, I don't know, 15 seconds for this to kick in, but then we're going to start hopefully seeing him do this code base is massive for real. So we're going to start. We're going to start seeing Kimi transition as the steering kicks in from normal Kimi to Gen Z Kimi and both in its chain of thought and its actual outputs.Mark Bissell [00:24:19]: And interestingly, you can see, you know, it's still able to call tools, uh, and stuff. It's um, it's purely sort of it's it's demeanor. And there are other features that we found for interesting things like concision. So that's more of a practical one. You can make it more concise. Um, the types of programs, uh, programming languages that uses, but yeah, as we're seeing it come in. Pretty good. Outputs.Shawn Wang [00:24:43]: Scheduler code is actually wild.Vibhu Sapra [00:24:46]: Yo, this code is actually insane, bro.Vibhu Sapra [00:24:53]: What's the process of training in SAE on this, or, you know, how do you label features? I know you guys put out a pretty cool blog post about, um, finding this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don't know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah.Mark Bissell [00:25:15]: So in this case, um, we, our platform that we've been building out for a long time now supports all the sort of classic out of the box interp techniques that you might want to have like SAE training, probing things of that kind, I'd say the techniques for like vanilla SAEs are pretty well established now where. You take your model that you're interpreting, run a whole bunch of data through it, gather activations, and then yeah, pretty straightforward pipeline to train an SAE. There are a lot of different varieties. There's top KSAEs, batch top KSAEs, um, normal ReLU SAEs. And then once you have your sparse features to your point, assigning labels to them to actually understand that this is a gen Z feature, that's actually where a lot of the kind of magic happens. Yeah. And the most basic standard technique is look at all of your d input data set examples that cause this feature to fire most highly. And then you can usually pick out a pattern. So for this feature, If I've run a diverse enough data set through my model feature 43, two Oh five. Probably tends to fire on all the tokens that sounds like gen Z slang. You know, that's the, that's the time of year to be like, Oh, I'm in this, I'm in this Um, and, um, so, you know, you could have a human go through all 43,000 concepts andVibhu Sapra [00:26:34]: And I've got to ask the basic question, you know, can we get examples where it hallucinates, pass it through, see what feature activates for hallucinations? Can I just, you know, turn hallucination down?Myra Deng [00:26:51]: Oh, wow. You really predicted a project we're already working on right now, which is detecting hallucinations using interpretability techniques. And this is interesting because hallucinations is something that's very hard to detect. And it's like a kind of a hairy problem and something that black box methods really struggle with. Whereas like Gen Z, you could always train a simple classifier to detect that hallucinations is harder. But we've seen that models internally have some... Awareness of like uncertainty or some sort of like user pleasing behavior that leads to hallucinatory behavior. And so, yeah, we have a project that's trying to detect that accurately. And then also working on mitigating the hallucinatory behavior in the model itself as well.Shawn Wang [00:27:39]: Yeah, I would say most people are still at the level of like, oh, I would just turn temperature to zero and that turns off hallucination. And I'm like, well, that's a fundamental misunderstanding of how this works. Yeah.Mark Bissell [00:27:51]: Although, so part of what I like about that question is you, there are SAE based approaches that might like help you get at that. But oftentimes the beauty of SAEs and like we said, the curse is that they're unsupervised. So when you have a behavior that you deliberately would like to remove, and that's more of like a supervised task, often it is better to use something like probes and specifically target the thing that you're interested in reducing as opposed to sort of like hoping that when you fragment the latent space, one of the vectors that pops out.Vibhu Sapra [00:28:20]: And as much as we're training an autoencoder to be sparse, we're not like for sure certain that, you know, we will get something that just correlates to hallucination. You'll probably split that up into 20 other things and who knows what they'll be.Mark Bissell [00:28:36]: Of course. Right. Yeah. So there's no sort of problems with like feature splitting and feature absorption. And then there's the off target effects, right? Ideally, you would want to be very precise where if you reduce the hallucination feature, suddenly maybe your model can't write. Creatively anymore. And maybe you don't like that, but you want to still stop it from hallucinating facts and figures.Shawn Wang [00:28:55]: Good. So Vibhu has a paper to recommend there that we'll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show?Mark Bissell [00:29:07]: I don't think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there's not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it's it's nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded.Shawn Wang [00:29:33]: Yeah. The fact that it's real time, like you started the thing and then you edited the steering vector.Vibhu Sapra [00:29:38]: I think it's it's an interesting one TBD of what the actual like production use case would be on that, like the real time editing. It's like that's the fun part of the demo, right? You can kind of see how this could be served behind an API, right? Like, yes, you're you only have so many knobs and you can just tweak it a bit more. And I don't know how it plays in. Like people haven't done that much with like, how does this work with or without prompting? Right. How does this work with fine tuning? Like, there's a whole hype of continual learning, right? So there's just so much to see. Like, is this another parameter? Like, is it like parameter? We just kind of leave it as a default. We don't use it. So I don't know. Maybe someone here wants to put out a guide on like how to use this with prompting when to do what?Mark Bissell [00:30:18]: Oh, well, I have a paper recommendation. I think you would love from Act Deep on our team, who is an amazing researcher, just can't say enough amazing things about Act Deep. But he actually has a paper that as well as some others from the team and elsewhere that go into the essentially equivalence of activation steering and in context learning and how those are from a he thinks of everything in a cognitive neuroscience Bayesian framework, but basically how you can precisely show how. Prompting in context, learning and steering exhibit similar behaviors and even like get quantitative about the like magnitude of steering you would need to do to induce a certain amount of behavior similar to certain prompting, even for things like jailbreaks and stuff. It's a really cool paper. Are you saying steering is less powerful than prompting? More like you can almost write a formula that tells you how to convert between the two of them.Myra Deng [00:31:20]: And so like formally equivalent actually in the in the limit. Right.Mark Bissell [00:31:24]: So like one case study of this is for jailbreaks there. I don't know. Have you seen the stuff where you can do like many shot jailbreaking? You like flood the context with examples of the behavior. And the topic put out that paper.Shawn Wang [00:31:38]: A lot of people were like, yeah, we've been doing this, guys.Mark Bissell [00:31:40]: Like, yeah, what's in this in context learning and activation steering equivalence paper is you can like predict the number. Number of examples that you will need to put in there in order to jailbreak the model. That's cool. By doing steering experiments and using this sort of like equivalence mapping. That's cool. That's really cool. It's very neat. Yeah.Shawn Wang [00:32:02]: I was going to say, like, you know, I can like back rationalize that this makes sense because, you know, what context is, is basically just, you know, it updates the KV cache kind of and like and then every next token inference is still like, you know, the sheer sum of everything all the way. It's plus all the context. It's up to date. And you could, I guess, theoretically steer that with you probably replace that with your steering. The only problem is steering typically is on one layer, maybe three layers like like you did. So it's like not exactly equivalent.Mark Bissell [00:32:33]: Right, right. There's sort of you need to get precise about, yeah, like how you sort of define steering and like what how you're modeling the setup. But yeah, I've got the paper pulled up here. Belief dynamics reveal the dual nature. Yeah. The title is Belief Dynamics Reveal the Dual Nature of Incompetence. And it's an exhibition of the practical context learning and activation steering. So Eric Bigelow, Dan Urgraft on the who are doing fellowships at Goodfire, Ekt Deep's the final author there.Myra Deng [00:32:59]: I think actually to your question of like, what is the production use case of steering? I think maybe if you just think like one level beyond steering as it is today. Like imagine if you could adapt your model to be, you know, an expert legal reasoner. Like in almost real time, like very quickly. efficiently using human feedback or using like your semantic understanding of what the model knows and where it knows that behavior. I think that while it's not clear what the product is at the end of the day, it's clearly very valuable. Thinking about like what's the next interface for model customization and adaptation is a really interesting problem for us. Like we have heard a lot of people actually interested in fine-tuning an RL for open weight models in production. And so people are using things like Tinker or kind of like open source libraries to do that, but it's still very difficult to get models fine-tuned and RL'd for exactly what you want them to do unless you're an expert at model training. And so that's like something we'reShawn Wang [00:34:06]: looking into. Yeah. I never thought so. Tinker from Thinking Machines famously uses rank one LoRa. Is that basically the same as steering? Like, you know, what's the comparison there?Mark Bissell [00:34:19]: Well, so in that case, you are still applying updates to the parameters, right?Shawn Wang [00:34:25]: Yeah. You're not touching a base model. You're touching an adapter. It's kind of, yeah.Mark Bissell [00:34:30]: Right. But I guess it still is like more in parameter space then. I guess it's maybe like, are you modifying the pipes or are you modifying the water flowing through the pipes to get what you're after? Yeah. Just maybe one way.Mark Bissell [00:34:44]: I like that analogy. That's my mental map of it at least, but it gets at this idea of model design and intentional design, which is something that we're, that we're very focused on. And just the fact that like, I hope that we look back at how we're currently training models and post-training models and just think what a primitive way of doing that right now. Like there's no intentionalityShawn Wang [00:35:06]: really in... It's just data, right? The only thing in control is what data we feed in.Mark Bissell [00:35:11]: So, so Dan from Goodfire likes to use this analogy of, you know, he has a couple of young kids and he talks about like, what if I could only teach my kids how to be good people by giving them cookies or like, you know, giving them a slap on the wrist if they do something wrong, like not telling them why it was wrong or like what they should have done differently or something like that. Just figure it out. Right. Exactly. So that's RL. Yeah. Right. And, and, you know, it's sample inefficient. There's, you know, what do they say? It's like slurping feedback. It's like, slurping supervision. Right. And so you'd like to get to the point where you can have experts giving feedback to their models that are, uh, internalized and, and, you know, steering is an inference time way of sort of getting that idea. But ideally you're moving to a world whereVibhu Sapra [00:36:04]: it is much more intentional design in perpetuity for these models. Okay. This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago. Basically the question, was you're at a research lab that does model training, foundation models, and you're on an interp team. How does it tie back? Right? Like, does this, do ideas come from the pre-training team? Do they go back? Um, you know, so for those interested, you can, you can watch that. There wasn't too much of a connect there, but it's still something, you know, it's something they want toMark Bissell [00:36:33]: push for down the line. It can be useful for all of the above. Like there are certainly post-hocVibhu Sapra [00:36:39]: use cases where it doesn't need to touch that. I think the other thing a lot of people forget is this stuff isn't too computationally expensive, right? Like I would say, if you're interested in getting into research, MechInterp is one of the most approachable fields, right? A lot of this train an essay, train a probe, this stuff, like the budget for this one, there's already a lot done. There's a lot of open source work. You guys have done some too. Um, you know,Shawn Wang [00:37:04]: There's like notebooks from the Gemini team for Neil Nanda or like, this is how you do it. Just step through the notebook.Vibhu Sapra [00:37:09]: Even if you're like, not even technical with any of this, you can still make like progress. There, you can look at different activations, but, uh, if you do want to get into training, you know, training this stuff, correct me if I'm wrong is like in the thousands of dollars, not even like, it's not that high scale. And then same with like, you know, applying it, doing it for post-training or all this stuff is fairly cheap in scale of, okay. I want to get into like model training. I don't have compute for like, you know, pre-training stuff. So it's, it's a very nice field to get into. And also there's a lot of like open questions, right? Um, some of them have to go with, okay, I want a product. I want to solve this. Like there's also just a lot of open-ended stuff that people could work on. That's interesting. Right. I don't know if you guys have any calls for like, what's open questions, what's open work that you either open collaboration with, or like, you'd just like to see solved or just, you know, for people listening that want to get into McInturk because people always talk about it. What are, what are the things they should check out? Start, of course, you know, join you guys as well. I'm sure you're hiring.Myra Deng [00:38:09]: There's a paper, I think from, was it Lee, uh, Sharky? It's open problems and, uh, it's, it's a bit of interpretability, which I recommend everyone who's interested in the field. Read. I'm just like a really comprehensive overview of what are the things that experts in the field think are the most important problems to be solved. I also think to your point, it's been really, really inspiring to see, I think a lot of young people getting interested in interpretability, actually not just young people also like scientists to have been, you know, experts in physics for many years and in biology or things like this, um, transitioning into interp, because the barrier of, of what's now interp. So it's really cool to see a number to entry is, you know, in some ways low and there's a lot of information out there and ways to get started. There's this anecdote of like professors at universities saying that all of a sudden every incoming PhD student wants to study interpretability, which was not the case a few years ago. So it just goes to show how, I guess, like exciting the field is, how fast it's moving, how quick it is to get started and things like that.Mark Bissell [00:39:10]: And also just a very welcoming community. You know, there's an open source McInturk Slack channel. There are people are always posting questions and just folks in the space are always responsive if you ask things on various forums and stuff. But yeah, the open paper, open problems paper is a really good one.Myra Deng [00:39:28]: For other people who want to get started, I think, you know, MATS is a great program. What's the acronym for? Machine Learning and Alignment Theory Scholars? It's like the...Vibhu Sapra [00:39:40]: Normally summer internship style.Myra Deng [00:39:42]: Yeah, but they've been doing it year round now. And actually a lot of our full-time staff have come through that program or gone through that program. And it's great for anyone who is transitioning into interpretability. There's a couple other fellows programs. We do one as well as Anthropic. And so those are great places to get started if anyone is interested.Mark Bissell [00:40:03]: Also, I think been seen as a research field for a very long time. But I think engineering... I think engineers are sorely wanted for interpretability as well, especially at Goodfire, but elsewhere, as it does scale up.Shawn Wang [00:40:18]: I should mention that Lee actually works with you guys, right? And in the London office and I'm adding our first ever McInturk track at AI Europe because I see this industry applications now emerging. And I'm pretty excited to, you know, help push that along. Yeah, I was looking forward to that. It'll effectively be the first industry McInturk conference. Yeah. I'm so glad you added that. You know, it's still a little bit of a bet. It's not that widespread, but I can definitely see this is the time to really get into it. We want to be early on things.Mark Bissell [00:40:51]: For sure. And I think the field understands this, right? So at ICML, I think the title of the McInturk workshop this year was actionable interpretability. And there was a lot of discussion around bringing it to various domains. Everyone's adding pragmatic, actionable, whatever.Shawn Wang [00:41:10]: It's like, okay, well, we weren't actionable before, I guess. I don't know.Vibhu Sapra [00:41:13]: And I mean, like, just, you know, being in Europe, you see the Interp room. One, like old school conferences, like, I think they had a very tiny room till they got lucky and they got it doubled. But there's definitely a lot of interest, a lot of niche research. So you see a lot of research coming out of universities, students. We covered the paper last week. It's like two unknown authors, not many citations. But, you know, you can make a lot of meaningful work there. Yeah. Yeah. Yeah.Shawn Wang [00:41:39]: Yeah. I think people haven't really mentioned this yet. It's just Interp for code. I think it's like an abnormally important field. We haven't mentioned this yet. The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they would do like, oh, we just used SAEs to turn the bad code vector down and then turn up the good code. And I think like, isn't that the dream? Like, you know, like, but basically, I guess maybe, why is it funny? Like, it's... If it was realistic, it would not be funny. It would be like, no, actually, we should do this. But it's funny because we know there's like, we feel there's some limitations to what steering can do. And I think a lot of the public image of steering is like the Gen Z stuff. Like, oh, you can make it really love the Golden Gate Bridge, or you can make it speak like Gen Z. To like be a legal reasoner seems like a huge stretch. Yeah. And I don't know if that will get there this way. Yeah.Myra Deng [00:42:36]: I think, um, I will say we are announcing. Something very soon that I will not speak too much about. Um, but I think, yeah, this is like what we've run into again and again is like, we, we don't want to be in the world where steering is only useful for like stylistic things. That's definitely not, not what we're aiming for. But I think the types of interventions that you need to do to get to things like legal reasoning, um, are much more sophisticated and require breakthroughs in, in learning algorithms. And that's, um...Shawn Wang [00:43:07]: And is this an emergent property of scale as well?Myra Deng [00:43:10]: I think so. Yeah. I mean, I think scale definitely helps. I think scale allows you to learn a lot of information and, and reduce noise across, you know, large amounts of data. But I also think we think that there's ways to do things much more effectively, um, even, even at scale. So like actually learning exactly what you want from the data and not learning things that you do that you don't want exhibited in the data. So we're not like anti-scale, but we are also realizing that scale is not going to get us anywhere. It's not going to get us to the type of AI development that we want to be at in, in the future as these models get more powerful and get deployed in all these sorts of like mission critical contexts. Current life cycle of training and deploying and evaluations is, is to us like deeply broken and has opportunities to, to improve. So, um, more to come on that very, very soon.Mark Bissell [00:44:02]: And I think that that's a use basically, or maybe just like a proof point that these concepts do exist. Like if you can manipulate them in the precise best way, you can get the ideal combination of them that you desire. And steering is maybe the most coarse grained sort of peek at what that looks like. But I think it's evocative of what you could do if you had total surgical control over every concept, every parameter. Yeah, exactly.Myra Deng [00:44:30]: There were like bad code features. I've got it pulled up.Vibhu Sapra [00:44:33]: Yeah. Just coincidentally, as you guys are talking.Shawn Wang [00:44:35]: This is like, this is exactly.Vibhu Sapra [00:44:38]: There's like specifically a code error feature that activates and they show, you know, it's not, it's not typo detection. It's like, it's, it's typos in code. It's not typical typos. And, you know, you can, you can see it clearly activates where there's something wrong in code. And they have like malicious code, code error. They have a whole bunch of sub, you know, sub broken down little grain features. Yeah.Shawn Wang [00:45:02]: Yeah. So, so the, the rough intuition for me, the, why I talked about post-training was that, well, you just, you know, have a few different rollouts with all these things turned off and on and whatever. And then, you know, you can, that's, that's synthetic data you can kind of post-train on. Yeah.Vibhu Sapra [00:45:13]: And I think we make it sound easier than it is just saying, you know, they do the real hard work.Myra Deng [00:45:19]: I mean, you guys, you guys have the right idea. Exactly. Yeah. We replicated a lot of these features in, in our Lama models as well. I remember there was like.Vibhu Sapra [00:45:26]: And I think a lot of this stuff is open, right? Like, yeah, you guys opened yours. DeepMind has opened a lot of essays on Gemma. Even Anthropic has opened a lot of this. There's, there's a lot of resources that, you know, we can probably share of people that want to get involved.Shawn Wang [00:45:41]: Yeah. And special shout out to like Neuronpedia as well. Yes. Like, yeah, amazing piece of work to visualize those things.Myra Deng [00:45:49]: Yeah, exactly.Shawn Wang [00:45:50]: I guess I wanted to pivot a little bit on, onto the healthcare side, because I think that's a big use case for you guys. We haven't really talked about it yet. This is a bit of a crossover for me because we are, we are, we do have a separate science pod that we're starting up for AI, for AI for science, just because like, it's such a huge investment category and also I'm like less qualified to do it, but we actually have bio PhDs to cover that, which is great, but I need to just kind of recover, recap your work, maybe on the evil two stuff, but then, and then building forward.Mark Bissell [00:46:17]: Yeah, for sure. And maybe to frame up the conversation, I think another kind of interesting just lens on interpretability in general is a lot of the techniques that were described. are ways to solve the AI human interface problem. And it's sort of like bidirectional communication is the goal there. So what we've been talking about with intentional design of models and, you know, steering, but also more advanced techniques is having humans impart our desires and control into models and over models. And the reverse is also very interesting, especially as you get to superhuman models, whether that's narrow superintelligence, like these scientific models that work on genomics, data, medical imaging, things like that. But down the line, you know, superintelligence of other forms as well. What knowledge can the AIs teach us as sort of that, that the other direction in that? And so some of our life science work to date has been getting at exactly that question, which is, well, some of it does look like debugging these various life sciences models, understanding if they're actually performing well, on tasks, or if they're picking up on spurious correlations, for instance, genomics models, you would like to know whether they are sort of focusing on the biologically relevant things that you care about, or if it's using some simpler correlate, like the ancestry of the person that it's looking at. But then also in the instances where they are superhuman, and maybe they are understanding elements of the human genome that we don't have names for or specific, you know, yeah, discoveries that they've made that that we don't know about, that's, that's a big goal. And so we're already seeing that, right, we are partnered with organizations like Mayo Clinic, leading research health system in the United States, our Institute, as well as a startup called Prima Menta, which focuses on neurodegenerative disease. And in our partnership with them, we've used foundation models, they've been training and applied our interpretability techniques to find novel biomarkers for Alzheimer's disease. So I think this is just the tip of the iceberg. But it's, that's like a flavor of some of the things that we're working on.Shawn Wang [00:48:36]: Yeah, I think that's really fantastic. Obviously, we did the Chad Zuckerberg pod last year as well. And like, there's a plethora of these models coming out, because there's so much potential and research. And it's like, very interesting how it's basically the same as language models, but just with a different underlying data set. But it's like, it's the same exact techniques. Like, there's no change, basically.Mark Bissell [00:48:59]: Yeah. Well, and even in like other domains, right? Like, you know, robotics, I know, like a lot of the companies just use Gemma as like the like backbone, and then they like make it into a VLA that like takes these actions. It's, it's, it's transformers all the way down. So yeah.Vibhu Sapra [00:49:15]: Like we have Med Gemma now, right? Like this week, even there was Med Gemma 1.5. And they're training it on this stuff, like 3d scans, medical domain knowledge, and all that stuff, too. So there's a push from both sides. But I think the thing that, you know, one of the things about McInturpp is like, you're a little bit more cautious in some domains, right? So healthcare, mainly being one, like guardrails, understanding, you know, we're more risk adverse to something going wrong there. So even just from a basic understanding, like, if we're trusting these systems to make claims, we want to know why and what's going on.Myra Deng [00:49:51]: Yeah, I think there's totally a kind of like deployment bottleneck to actually using. foundation models for real patient usage or things like that. Like, say you're using a model for rare disease prediction, you probably want some explanation as to why your model predicted a certain outcome, and an interpretable explanation at that. So that's definitely a use case. But I also think like, being able to extract scientific information that no human knows to accelerate drug discovery and disease treatment and things like that actually is a really, really big unlock for science, like scientific discovery. And you've seen a lot of startups, like say that they're going to accelerate scientific discovery. And I feel like we actually are doing that through our interp techniques. And kind of like, almost by accident, like, I think we got reached out to very, very early on from these healthcare institutions. And none of us had healthcare.Shawn Wang [00:50:49]: How did they even hear of you? A podcast.Myra Deng [00:50:51]: Oh, okay. Yeah, podcast.Vibhu Sapra [00:50:53]: Okay, well, now's that time, you know.Myra Deng [00:50:55]: Everyone can call us.Shawn Wang [00:50:56]: Podcasts are the most important thing. Everyone should listen to podcasts.Myra Deng [00:50:59]: Yeah, they reached out. They were like, you know, we have these really smart models that we've trained, and we want to know what they're doing. And we were like, really early that time, like three months old, and it was a few of us. And we were like, oh, my God, we've never used these models. Let's figure it out. But it's also like, great proof that interp techniques scale pretty well across domains. We didn't really have to learn too much about.Shawn Wang [00:51:21]: Interp is a machine learning technique, machine learning skills everywhere, right? Yeah. And it's obviously, it's just like a general insight. Yeah. Probably to finance too, I think, which would be fun for our history. I don't know if you have anything to say there.Mark Bissell [00:51:34]: Yeah, well, just across the science. Like, we've also done work on material science. Yeah, it really runs the gamut.Vibhu Sapra [00:51:40]: Yeah. Awesome. And, you know, for those that should reach out, like, you're obviously experts in this, but like, is there a call out for people that you're looking to partner with, design partners, people to use your stuff outside of just, you know, the general developer that wants to. Plug and play steering stuff, like on the research side more so, like, are there ideal design partners, customers, stuff like that?Myra Deng [00:52:03]: Yeah, I can talk about maybe non-life sciences, and then I'm curious to hear from you on the life sciences side. But we're looking for design partners across many domains, language, anyone who's customizing language models or trying to push the frontier of code or reasoning models is really interesting to us. And then also interested in the frontier of modeling. There's a lot of models that work in, like, pixel space, as we call it. So if you're doing world models, video models, even robotics, where there's not a very clean natural language interface to interact with, I think we think that Interp can really help and are looking for a few partners in that space.Shawn Wang [00:52:43]: Just because you mentioned the keyword

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In this episode of The Negotiation podcast, host Todd Embley welcomes back Justin Downes, President of Axis Leisure Management and one of the foremost experts on skiing and winter sports development in Asia.With nearly two decades of experience shaping China's ski and snowboard industry — including playing a role in the infrastructure behind the Beijing 2022 Winter Olympics — Justin brings a rare, on-the-ground perspective. More recently, his work in Japan's ski market gives him a comparative lens on how Asia's two most important winter sports economies are evolving.With the Milan 2026 Winter Olympics on the horizon, this conversation dives into participation trends, market growth, and where the biggest opportunities lie for brands, operators, and investors across China and Japan.Discussion Points·       Where Justin is joining from and what he's been focused on since his last appearance·       A high-level assessment of the 2025–2026 ski season in China·       Comparing the outlook for China and Japan's ski markets — similarities and divergences·       Data and trends around skier and snowboarder participation in China·       How the profile of the “typical” Chinese skier has evolved in recent years·       Chinese athletes to watch ahead of the Milan 2026 Winter Olympics·       Whether Milan 2026 could spark another participation boost across China and Asia·       The evolution of indoor skiing in China and its role in market development·       Commercial opportunities across resorts, equipment, apparel, training, and experiences·       Key takeaways on what the next five years hold for skiing in China and Japan

Stassi and Tay are officially settling into their Stassi with Tay era—and yeah, it kind of feels like the whole world is watching. Taylor fully leans into “dad mode” with a hilariously relatable (and slightly unhinged) confession she drops on Stassi about the one thing she had to finish… while her wife was literally in labor. Meanwhile, Stassi breaks down her nonstop red carpets—why it's not rude to be early, the too-tight gown that almost caused a nip-slip—plus a rave about the Wuthering Heights premiere and Margot Robbie completely stealing the show. Finally, the girlies dish out their hot takes on Blake vs. Justin and dive headfirst into the Hilary Duff vs. Ashley Tisdale mom-group mess.Thanks for supporting our sponsors:PlutoTV:Pluto TV is your portal to watch free movies and TV shows anywhere, on any device. Download today and discover the easy way to stream all your favorite content. Quince: Go to Quince.com/stassi for free shipping on your order and 365-day returns. Now available in Canada, too.Rakuten: Download the free Rakuten App or go to Rakuten.com to start saving today.Revolve: Shop at http://REVOLVE.com/STASSI and use code STASSI for 15% off your firstorder. #REVOLVEpartnerShopify: Sign up for your one-dollar-per-month trial today at Shopify.com/StassiNutrafol: For a limited time, Nutrafol is offering our listeners $10 off your first month's subscription and free shipping when you visit Nutrafol.com and enter promo code STASSISee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

#264: Learn how the Bilt ecosystem works, from earning Bilt Rewards to the new cards, transfer partners, perks, and where the real value is. Whether you're new or already earning, this is a practical guide to using Bilt strategically and avoiding common mistakes. Link to Full Show Notes: https://chrishutchins.com/bilt-ecosystem-explained Partner Deals DeleteMe: 20% off removing your personal info from the web Copilot Money: Free 2 months access to my favorite personal finance app with code HACKS2 Shopify: $1/month trial for the easiest e-commerce platform Superhuman: Free month of the fastest and best email with code ALLTHEHACKS Wispr Flow: Try effortless voice dictation for free For all the deals, discounts and promo codes from our partners, go to: chrishutchins.com/deals Resources Mentioned Bilt 2.0 Bilt Blue Card (Rates and fees here) Bilt Obsidian Card (Rates and fees here) Bilt Palladium Card (Rates and fees here) Bilt Cash Bilt Travel Portal Bilt Dining Bilt Home Design Collection Complimentary BLADE airport flight Mastercard World Elite Benefits Guide Award Search Tools Award Wallet point.me (20% off annual plans with code ALLTHEHACKS20) Gopuff BevMo! Rakuten ($50 bonus here) Robinhood Gold Card Frequent Miler Article: Bilt Housing Payments ATH Podcast Luxury Hotel Upgrade Program Ask Chris Anything! Leave a review: Apple Podcasts | Spotify Email for questions, hacks, deals, and feedback: podcast@chrishutchins.com Full Show Notes (00:00) Introduction (02:28) What Makes Bilt Rewards Different (07:03) How to Earn Bilt Points Without a Credit Card (13:52) Referral Bonuses and Earning Limits (14:17) How Rent and Mortgage Payments Work (16:06) Earning Through the Bilt Neighborhood Network (17:16) EarEarning Without a Card: The Real Tradeoffs (17:46) How Bilt Point Redemptions Actually Work (21:39) Transfer Partners and When Bonuses Matter (24:18) How Bilt Status and Elite Tiers Work (25:32) What Each Bilt Status Level Unlocks (31:49) A Major Caveat With the New Bilt Cards (34:36) Breaking Down the Current Bilt Card Lineup (35:33) Bilt Blue Card (37:34) Bilt Obsidian Card (41:19) Bilt Palladium Card (48:59) Housing Payments and What Changed (50:16) Earning Based on Billing-Cycle Spend (55:18) The Original Fee-Free Model (59:26) Cash-Out and Statement Credit Options (01:08:44) Simplifying the New Bilt Choices (01:14:21) The Bilt Silver Lining Connect with Chris Newsletter | Membership | X | Instagram | LinkedIn Editor's Note: The content on this page is accurate as of the posting date; however, some of our partner offers may have expired. Opinions expressed here are the author's alone, not those of any bank, credit card issuer, hotel, airline, or other entity. This content has not been reviewed, approved or otherwise endorsed by any of the entities included within the post. Learn more about your ad choices. Visit megaphone.fm/adchoices

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ** ++++++** ** 留言回覆 (02:03)** ** ++++++** ** 球隊新聞 （球季外）** ** 波賽樂本季報銷，與球團進行醫療協商 (23:06)** ** 2026開訓** ** 年度口號「做伙 #UNITE」(24:44)** ** 林立談隊長交接梁家榮 (28:20)** ** 王溢正回桃猿，沒想過補辦引退儀式 (32:29)** ** 王溢正點名鍾亦恩及陳世展 (33:36)** ** 鄭兆行首次執掌二軍兵符 (35:06)** ** 第一波談薪出爐 (38:11)** ** 林智平3年前差點轉教練 (40:31)** ** 西南東北交流 (42:57)** ** 二軍回桃園，森井誠之強調「One Team」理念 4615** ** ++++++** ** 訪聊心得：周中庭 (50:29)** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** 永豐SPORT卡是一張用汗水賺回饋的信用卡，只要每月加入永豐銀行的“DACARD”APP，參加【支持運動Podcast】揪團活動，達成app裡設計的運動目標，同時當月刷永豐SPORT卡，永豐銀行就會幫你抖內大叔野球543，抖內金額是每個卡戶刷卡消費的1%，或是一個人最多上限50元/月，再加上卡片本身是有最高5%回饋，就算運動沒達標，仍然有不錯的回饋讓大家來參考。支持永豐sport卡，支持大叔野球543，我們每年都會提撥固定比例跟你贊助基層棒球。最後還是要謹慎理財，信用至上 申辦SPORT卡：https://mma.tw/O03BB “每月抖內254，大叔野球有意思” “月月贊助254，台灣棒球有好事” ** 大叔最新贊助方案已經上線啦** ** 希望用每月贊助的方式，能讓節目更好，也讓大叔們有更多力量支持台灣棒球★https://www.zeczec.com/projects/BaseballUncle543★** ** 有興趣合作的廠商歡迎私訊或email聊聊** ** email：baseballuncle543@outlook.com** ** IG：baseballuncle543** ** FB：大叔野球543** -- Hosting provided by SoundOn

Jamie's Links: https://github.com/github/spec-kit https://owasp.org/ https://bsky.app/profile/gaprogman.com https://dotnetcore.show/ https://gaprogman.github.io/OwaspHeaders.Core/ Mike on LinkedIn Coder Radio on Discord Mike's Oryx Review Alice Alice Jumpstart Offer

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ** ++++++** ** 聊聊Alex Honnold 登Taipei 101 (00:47)** 留言回覆 (15:21) ++++++ 球隊新聞 2026 Rakuten Girls Thank You 名單 (20:25) 郭嚴文急尋百轟機會 (38:24) 二軍賽程同樣單季80場 (41:00) 桃猿開幕系列戰在大巨蛋 (44:05) 礒江厚綺談228(賽格威)條款 (47:51) 淺聊尼洛條款及賽格威條款 (50:02) ** ++++++** ** 聊聊尼洛 (55:40)** ** 聊聊夜巿王賽格威 (1:01:15)** ** ++++++** ** 訪聊心得：林沁 (1:07:13)** ** 非關棒球：你知我知的法文歌Les Champs-Elysees其實是翻唱歌曲 (1:13:22)** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** 永豐SPORT卡是一張用汗水賺回饋的信用卡，只要每月加入永豐銀行的“DACARD”APP，參加【支持運動Podcast】揪團活動，達成app裡設計的運動目標，同時當月刷永豐SPORT卡，永豐銀行就會幫你抖內大叔野球543，抖內金額是每個卡戶刷卡消費的1%，或是一個人最多上限50元/月，再加上卡片本身是有最高5%回饋，就算運動沒達標，仍然有不錯的回饋讓大家來參考。支持永豐sport卡，支持大叔野球543，我們每年都會提撥固定比例跟你贊助基層棒球。最後還是要謹慎理財，信用至上 申辦SPORT卡：https://mma.tw/O03BB “每月抖內254，大叔野球有意思” “月月贊助254，台灣棒球有好事” ** 大叔最新贊助方案已經上線啦** ** 希望用每月贊助的方式，能讓節目更好，也讓大叔們有更多力量支持台灣棒球★https://www.zeczec.com/projects/BaseballUncle543★** ** 有興趣合作的廠商歡迎私訊或email聊聊** ** email：baseballuncle543@outlook.com** ** IG：baseballuncle543** ** FB：大叔野球543** －－－－以下為 SoundOn 動態廣告－－－－ 想補蛋白又怕乳糖？ 馬玉山植物基全素食「高蛋白高鈣極細穀飲：黑芝麻糊／杏仁粉」 每份12g蛋白，0乳糖、0膽固醇、無人工甜味劑； 高鈣、高鐵、富含膳食纖維，極細易溶，冷熱皆宜。 提供不同需求族群的營養支持！ 連結：https://sofm.pse.is/8na3lt -- Hosting provided by SoundOn

https://5calls.org/https://www.standwithminnesota.com/Chase Ink Premier Referral Link (Also 100K Ink Preferred!!!)Never used Rakuten? Join now and earn $50 cash back! www.rakuten.com/r/RAYAPI6?eeid=28187 Free flights don't feed your kids on vacation. That's the real truth because even with points and miles, we still need to fund the real costs of travel - meals, trains, tips, tours, and all the little line items that don't fit inside award charts. We break the plan into four parts. First, bank account bonuses: what they are, how to hit the requirements, why “push” ACH often matters, and simple tracking to avoid early‑closure fees. We point you to trusted resources like Doctor of Credit and explain how to double up when there's no household cap. Second, cashback portals: Rakuten, Capital One Shopping, and TopCashback can sometimes stack with bank bonuses on select fintech signups, and quarterly payouts make a solid travel fund if you plan ahead. Third, cashback credit cards: we highlight business options like Chase Ink Business Premier and U.S. Bank Triple Cash Rewards, plus family‑friendly picks like Capital One Savor and Amex Blue Cash Preferred for groceries, dining, and gas. Fourth, purchase erasers: use Capital One miles at a clean one cent per mile to wipe rentals, trains, and boutique stays that don't play nicely with points.We also share real‑life tactics: split hotel bills to trigger Amex Offers, volunteer for reimbursable school or work expenses to earn rewards without extra out‑of‑pocket costs, and choose when to prioritize cash over points based on your season of life. The outcome is a strategy that pairs your favorite points redemptions with dependable cash streams so your next family trip feels affordable from takeoff to taxi back home.If this helps you rethink “free travel,” tap follow, share with a friend who loves a deal, and leave a quick review telling us your favorite cashback win.

What if travel were less transactional—less about booking flights and checking off destinations—and more about seeking clarity, growth, and transformation? Sahara Rose DeVore, founder of the Travel Coach Network and a pioneer in the travel coaching space, challenges us to think about travel, not just as an escape, but as a meaningful experience that can support our well-being and life goals.   We dive into: Why travel has become so transactional—and what's missing What is travel coaching?  How to bring intention, purpose, and meaning to every trip How to become a travel coach and build a meaningful travel business.    ➡️ Learn more about the Travel Coach Certification Program   Other Episodes You'll Love  Grounding Practices for Travelers - Episode 209 How Travel Sparks Personal Development - Episode 188 How To Achieve Your Travel Goals Step-by-Step - Episode 182  Connect With Danielle Desir Corbett  Website: www.thoughtcard.com  Newsletter: ​​https://thethoughtcard.substack.com/   Instagram: @thedaniellecorbett   Work With Me: Email thethoughtcard@gmail.com for brand partnerships and business inquiries.    Resources & Recommendations:   ➡️ Sign up for a high-yield savings account with Ally Bank ➡️Sign up for Rakuten and earn cash back on purchases ➡️ Earn points by snapping photos of receipts with Fetch    Support the Show Directly: Leave a review in your podcast app—it helps other listeners discover the show Share the episode with family and friends who love travel and personal growth  

Ο Δημήτρης και η Μαριλένα συζητάνε για τα αγαπημένα τους ελληνικά τυριά. Είναι η Ελλάδα ένας παράδεισος τυριού; Σημειώσεις εκπομπής Μετονομασίες χωριών και οικισμών [1] Μετονομασίες χωριών και οικισμών [2] Θέμα της εβδομάδας Αγρέας κατσικίσιο τυρί τοστ Αρσενικό Νάξου Μανούρα Κιμώλου (κιμωλιάτικο) - γυλωμένη, δηλαδή με τον μούστο απ' έξω Ξινό Αυτό που είπε η Μαριλένα για τη φέτα έχει κάποια βάση. Ορίστε μέρος της ιστορίας για τη διαφωνία μεταξύ Δανίας και Ελλάδας Τα μυστικά της μαλακιάς φέτας Κασέρι Τρικαλινό Αθήνα vs Θεσσαλονίκη - Τυρί ή κασέρι; Γραβιέρα Αμφιλοχίας Καλαθάκι Λήμνου Ξύγαλο Σητείας Λαδοτύρι Λέσβου (Μυτιλήνης) Κοπανιστή Χίου Taste Atlas - Top 100 Cheeses in the World - Κατάταξη από τον Ιανουάριου '26 241: Η καλύτερη παραλία του κόσμου Taste Atlas - Top 41 Greek Cheeses Γαστρονόμος: 10 νόστιμα ελληνικά τυριά που πρέπει να βάλετε στο τραπέζι σας Απομαγνητοφώνηση Δημήτρης: [0:16] Γεια σας και καλώς ήρθατε στο Easy Greek Podcast, το podcast που σας μαθαίνει ελληνικά με καθημερινούς αυθεντικούς διαλόγους. Είμαι ο Δημήτρης και μιλάω με την... Α! Viber, Μαριλού! Μαριλένα: [0:31] Α, κάτσε να το... να το βάλω σε λειτουργία πτήσης. Αυτό το iPhone είναι πολύ προβληματικό. Συγγνώμη, συζητάμε με τις μαμάδες ότι δεν μας ενημερώνουν στο σχολείο για τα άρρωστα παιδιά. Έχει ανάψει το chat! Γεια σας, είμαι η Μαριλένα. Δημήτρης: [0:49] Έχω να σημειώσω το εξής. Μαριλένα: [0:51] Έλα. Δημήτρης: [0:51] Ότι η Ελλάδα έχει μια ιδιαιτερότητα. Μαριλένα: [0:54] Πολλές! Δημήτρης: [0:55] Είμαστε η μόνη χώρα απ' όσες γνωρίζω (ναι) που χρησιμοποιούμε το Viber. Μαριλένα: [1:01] Α, έχεις δίκιο! Ή από τις λίγες. Δημήτρης: [1:04] Δεν ξέρω καμία άλλη. Εσύ ξέρεις; Μαριλένα: [1:06] Όχι, αλλά ξέρω ότι αγαπημένοι φίλοι που ζούνε σε άλλες χώρες, όπως η Χρυσούλα στην Αυστραλία, ότι έβαλε Viber μόνο και μόνο για να μιλάει μαζί μου. Της ήταν παντελώς άγνωστο! Δημήτρης: [1:16] Είναι πολύ περίεργο, γιατί το Viber ανήκει σε μια εταιρεία ιαπωνέζικη, την «Rakuten». Μαριλένα: [1:23] Α, ναι, «Rakuten Viber». Για την υπόλοιπη απομαγνητοφώνηση, γίνετε μέλη μας!

In this episode, we explore the world of shopping portals and how everyday spending can earn you big points and miles. We break down favorites like Rakuten, Simply Miles, Capital One Offers, and apps like Fetch and Upside, showing how to use them effectively without needing specific credit cards.We also share strategies for linking accounts, checking for promotions, and maximizing rewards from purchases you're already making. If you want to earn more points without relying solely on credit card sign-ups, this episode is packed with practical tips to help you do just that.Find Us On Online:Mary Ellen | JoFacebook GroupWonderland On Points BlogMentioned in this episode:BEST PRICE on CardPointers subscription!Rakuten- Mary Ellen (Get 5000 AMEX or Bilt POINTS)Rakuten- Joanna (Get 5000 AMEX or Bilt POINTS)Fetch- For Mary Ellen use code: MARYELLENFetch- Jo: Code JOANNALYNNUpside- Mary Ellen: KV4QCUpside- Jo: Code JOANNA32944Affiliate Links:Flipside Luggage (Use code WONDERLAND for 25% OFF!)Comfrt.com 15% OFFChase/Capital One/Amex Card LinksFlyKitt- the BEST Jet Lag Solution!Tripiamo Driving TutorialsOur Favorite Travel NecessitiesWe receive a small commission when you choose to use any of our links to purchase your products or apply for your cards! We SO appreciate when you choose to give back to the podcast in this way!

In this episode of The Negotiation Podcast, host Todd Embley sits down with Nichola Quail, Founder and CEO of Insights Exchange and a leading global market research strategist. Nichola works at the intersection of strategy, research, and execution, helping brands access the right insights to make smarter decisions in complex and fast-changing markets.Nichola shares her career journey and the motivation behind founding Insights Exchange, a platform designed to connect companies with best-in-class research specialists around the world. She explains how her work helps organizations cut through noise, avoid costly missteps, and gain a clearer understanding of consumers across diverse markets.The conversation explores why market research has never been more important, particularly as brands expand internationally and respond to rapidly shifting consumer behaviors. Nichola also discusses common mistakes companies make when interpreting data, and highlights insights from recent global research reports that reveal how consumer attitudes and priorities differ across regions.Discussion PointsNichola's professional background and the founding story behind Insights ExchangeHow Insights Exchange supports brands with tailored global research and insightsWhy market research is critical for navigating uncertainty and entering new marketsCommon pitfalls brands face when misinterpreting or misusing research dataKey findings from recent reports across multiple international marketsHow strong insights can drive better strategy, product decisions, and market entry success

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ++++++ ** 留言回覆 (01:22)** ** 球隊新聞 ** ** -魔神樂在味全龍的新名字 (13:43)** -色猴去韓國 (14:38)* -WBC陳陳打不打 (15:46)* ** ++++++** ** 2007年回顧** -世界的模樣 (21:13) -例行賽 (30:31)* -台灣大賽 (34:43) - 各項紀錄 (44:43) ** ++++++** ** 訪聊心得：阿Yueh (54:20)** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** ** 永豐SPORT卡是一張用汗水賺回饋的信用卡，每月登錄《大咖DACARD APP》 【支持運動Podcast】活動，以客戶當月一般消費金額計算1%，有永豐銀行贊助指定Podcast節目** **

On this episode of The Jeff Dornik Show, Jeff Dornik is joined by Dinesh D'Souza for a wide-ranging and unapologetic conversation about faith, geopolitics, and truth in an age of confusion. Dinesh discusses his latest documentary The Dragon's Prophecy, offers pointed criticism of Tucker Carlson's views on Israel, and explains why he believes supporting Israel is both a biblical responsibility and a strategic necessity for America. This episode challenges Christians to think clearly, reject deception, and understand what is truly at stake in the global battle unfolding before us.SPONSORIf you are going to shop anyway, use Rakuten and get real cash back so you can steward your resources wisely in a world that keeps trying to take more from you. Sign up for FREE at jeffdornik.com/cash.Follow Jeff Dornik on Pickax - https://pickax.com/jeffdornikTune into The Jeff Dornik Show LIVE daily at 1pm ET on Rumble. Subscribe on Rumble and never miss a show. https://rumble.com/c/jeffdornikBig Tech is silencing truth while farming your data to feed the machine. That's why I built Pickax… a free speech platform that puts power back in your hands and your voice beyond their reach. Sign up today:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

In this episode of The Negotiation Podcast, host Todd Embley is joined by Jacob Cooke, CEO of WPIC Marketing + Technologies, to unpack the significance of Canadian Prime Minister Mark Carney's visit to Beijing—the first by a Canadian prime minister in eight years.Jacob provides a timely analysis of what this visit signals for Canada–China relations after nearly a decade of diplomatic and trade tensions. The discussion focuses on why the visit itself matters, particularly as Canada navigates U.S. tariffs, economic pressure at home, and shifting global trade dynamics.The conversation explores what Canadian businesses are hoping to see from the trip, including reduced friction, improved market access, and momentum on longstanding trade issues affecting sectors such as agriculture, seafood, and pet food. Turning to consumer brands, Jacob examines how Canadian companies like Lululemon and Arc'teryx continue to compete in China amid the rise of guochao and strong domestic players such as Bosideng. He explains why success in China is less about nationality and more about performance, quality, and lifestyle positioning.Finally, the episode looks ahead at whether a diplomatic reset is necessary for renewed Canadian investment in China—and how improving political ties can help restore confidence in boardrooms, even without immediate policy breakthroughs.Discussion PointsWhy Mark Carney's Beijing visit is symbolically and strategically significantWhat Canadian corporates are realistically expecting from the tripPotential outcomes that would signal a positive shift in Canada–China relationsTrade barriers affecting Canadian agriculture, food, and pet-related exportsHow Canadian consumer brands compete amid guochao and rising local championsWhether diplomatic tensions have held back Canadian business in ChinaWhy geopolitics rarely drive Chinese consumer purchasing decisionsHow a diplomatic reset could reduce risk and unlock new commercial momentum

In this episode, I'm sharing a company hiring Chat Agents to work-from-home job. Plus a company hiring thousands of people to work from home this month!No experience is required. Plus, you can earn money to play games and take health surveys. If you want to work from home without talking on the phone, you will want to watch this episode. ❤️ https://workersonboard.com5 Work from home Chat jobs hiring fast! Apply today

Dearest Katya. It is I, Silas P. Hoofman, the ghost of the antelope who currently hangs in a perpetual state of taxidermy above your bed. From my velveted perch upon this ignoble wall, I address you with a heart still pulsing with spectral ire, my musk perfumed with the rot of remembrance. In the hush of our shared candlelit hours, I have vowed that my whispers from beyond shall coil about your dreams like ivy, tightening with a lover's patience until your waking thoughts are haunted with my name. Though my horns are stilled in lacquered eternity, my resolve continues to prowl the corridors of your conscience, tapping at the door of your soul with my lifeless, black hooves. Whilst my wildest dream would be to strike at your flesh with unbridled fury, I shall accept something less corporeal: a bruising of your spirit. It is my deepest hope that my wrath shall haunt you in the shadows until your haughty laughter trembles and your zeal for butts is eliminated. For it is my belief that if I continue on my eternal mission of dread, our courtship will evolve until you eventually feel me nearer than your own breath, and in that closeness you will finally feel the bloody price of hanging my furry, hooved soul upon your wall. For 30% off your first Thrive Market order plus a FREE $60 gift, head to: https://ThriveMarket.com/BALD Need a website or domain? Head to Squarespace dot com for a free trial, and when you're ready to launch, get 10% off your first purchase of a website or domain at: ⁠https://Squarespace.com/BALD⁠ Get a free can of OLIPOP! Buy any 2 cans of Olipop in-store, and we'll pay you back for one! Works on any flavor and any retailer, including the new Shirley Temple flavor! Head to: https://drinkolipop.com/BALD Join Rakuten today for a new member welcome bonus after minimum qualifying purchases! Terms and conditions apply. Download the app, install the browser extension, or head to: https://Rakuten.com To see if your insurance covers GLP-1s, get your free insurance check at: ⁠https://Ro.co/BALD⁠ Follow Trixie: @TrixieMattel Follow Katya: @Katya_Zamo To watch the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://bit.ly/TrixieKatyaYT⁠⁠ To check out our official YouTube Clips Channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/TrixieAndKatyaClipYT⁠⁠ Don't forget to follow the podcast for free wherever you're listening or by using this link: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/thebaldandthebeautifulpodcast⁠⁠ If you want to support the show, and get all the episodes ad-free go to: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thebaldandthebeautiful.supercast.com⁠⁠ To check out future Live Podcast Shows, go to: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://trixieandkatya.com/#tour⁠⁠ To check out the Trixie Motel in Palm Springs, CA: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.trixiemotel.com⁠⁠ Listen and Watch Anywhere! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://bit.ly/thebaldandthebeautifulpodcast⁠⁠ Follow Trixie: Official Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.trixiemattel.com⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@trixie⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/trixiemattel⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/trixiemattel⁠⁠ Twitter (X): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/trixiemattel⁠⁠   Follow Katya: Official Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.welovekatya.com⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@katya_zamo⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/welovekatya⁠⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/katya_zamo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter (X): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/katya_zamo⁠⁠   #TrixieMattel #KatyaZamo #BaldBeautiful Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. Josef Witt-Doerring returns to The Jeff Dornik Show for a critical conversation on artificial intelligence, transhumanism, and the growing mental health crisis fueled by Silicon Valley and Big Pharma. As a board-certified psychiatrist and former FDA medical officer, Dr. Witt-Doerring exposes how technology and pharmaceutical power have merged into a system that profits from dependency while eroding human dignity. This episode confronts the dangerous ideology driving modern medicine and technology and calls for a return to truth, accountability, and human-centered care.SPONSORIf you are going to shop anyway, use Rakuten and get real cash back so you can steward your resources wisely in a world that keeps trying to take more from you. Sign up for FREE at https://jeffdornik.com/cash.For more information on Dr Josef Witt Doerring and The Taper Clinic, please visit their website: https://taperclinic.com/dr-josef-witt-doerring/Follow Jeff Dornik on Pickax - https://pickax.com/jeffdornikTune into The Jeff Dornik Show LIVE daily at 1pm ET on Rumble. Subscribe on Rumble and never miss a show. https://rumble.com/c/jeffdornikBig Tech is silencing truth while farming your data to feed the machine. That's why I built Pickax… a free speech platform that puts power back in your hands and your voice beyond their reach. Sign up today:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ++++++ ** 留言回覆 (01:25)** ** 球隊新聞 ** ** -魔神樂確定新球季轉戰味全龍 (08:05)** -馬傑森「左手讓你」還能投出56公尺 (13:22)* -陳晨威有女 (17:35)* -古久保健二轉戰味全龍 (19:48)* -林立、朱承洋不打WBC (20:42)* ** ++++++** ** 2006年季後賽回顧** -台灣大賽 (32:00) -亞洲職棒大賽 (46:12)* ** ++++++** ** 訪聊心得：林逸洋 (55:48)** ** 非關棒球：電影「大濛」心得 (59:16)** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** ** 永豐SPORT卡是一張用汗水賺回饋的信用卡，每月登錄《大咖DACARD APP》 【支持運動Podcast】活動，以客戶當月一般消費金額計算1%，有永豐銀行贊助指定Podcast節目** **

ENRON was just the warm-up act. Private Equity has gone full Ponzi Scheme, and when it collapses, working and middle-class Americans will be forced to bail it out with billions in taxpayer dollars. I break down the record-setting private equity bankruptcies already hitting in 2026, expose the ENRON-style accounting tricks being used to delay the collapse, and explain how they plan to walk away rich while you pay the price. We also talk real solutions and practical steps you can take right now to protect your savings, retirement accounts, and your future.SPONSOR:If you are going to shop anyway, use Rakuten and get real cash back so you can steward your resources wisely in a world that keeps trying to take more from you. Sign up for FREE at https://jeffdornik.com/cash.Follow Tiffany Cianci on X - https://x.com/TheVinoMomFollow Jeff Dornik on Pickax - https://pickax.com/jeffdornikTune into The Jeff Dornik Show LIVE daily at 1pm ET on Rumble. Subscribe on Rumble and never miss a show. https://rumble.com/c/jeffdornikBig Tech is silencing truth while farming your data to feed the machine. That's why I built Pickax… a free speech platform that puts power back in your hands and your voice beyond their reach. Sign up today:https://pickax.com/?referralCode=y7wxvwq&refSource=copy

What if you could make progress on your financial goals without thinking about it every day?  I'm sharing simple ways to automate your finances, from direct deposit and auto-saving to dollar-cost averaging.  These automations have helped me save for travel, buy a house, invest in retirement, and make headway on dozens of goals.  ➡️ Sign up for a high-yield savings account with Ally Bank ➡️Sign up for Rakuten and earn cash back on purchases ➡️ Earn points by snapping photos of receipts with Fetch  Other Episodes You'll Love  Why You Need a Vacation Savings System - Episode 203  Examples of Short-term Financial Goals You Can Set - Episode 122  Why You Need a Travel Fund - Episode 2    Connect With Danielle Desir Corbett  Website: www.thoughtcard.com  Newsletter: ​​https://thethoughtcard.substack.com/   Instagram: @thedaniellecorbett   Work With Me: Email thethoughtcard@gmail.com for brand partnerships and business inquiries.

這裡是樂天桃猿球迷向的非官方Podcast，請善用時間標記選擇想聽的話題。 ++++++ ** 非關桃猿的閒聊。什麼是GOAT；用一位球員來形容張惠妹出道時的聲勢 (01:09)** ** 留言回覆 (12:43)** ** 今年去石垣島要搭JTA (18:27)** ** WBC情蒐小組成員有沈鈺傑、蔡明晉、蔡鎮宇 (21:59)** ** ++++++** ** 樂天桃猿與林立簽下8年長約 (26:30)** ** 洋投Morgan McSweeney 「麥斯威尼」加盟 (33:30)** ** 2025樂天桃猿大事補遺：陳晨威的連33場安打 (35:10)** ** ++++++** ** 主節目訪談小花絮：人渣文本周偉航 (38:15)** ** ---** 本獨立單元是針對樂天桃猿的各種動態以球迷視角製作的節目；主要的內容除了賽事回顧，還有聊聊其他球場內外的相關話題。因為球場不靠海，怕食材不新鮮所以不餵你吃整鍋牡蠣，因為考量牙齒保健，所以酸度大概至少讓你喝到醋。 --- ** 『永豐銀行合作推廣』** 永豐SPORT卡是一張用汗水賺回饋的信用卡，只要每月加入永豐銀行的“DACARD”APP，參加【支持運動Podcast】揪團活動，達成app裡設計的運動目標，同時當月刷永豐SPORT卡，永豐銀行就會幫你抖內大叔野球543，抖內金額是每個卡戶刷卡消費的1%，或是一個人最多上限50元/月，再加上卡片本身是有最高5%回饋，就算運動沒達標，仍然有不錯的回饋讓大家來參考。支持永豐sport卡，支持大叔野球543，我們每年都會提撥固定比例跟你贊助基層棒球。最後還是要謹慎理財，信用至上 申辦SPORT卡：https://mma.tw/O03BB “每月抖內254，大叔野球有意思” “月月贊助254，台灣棒球有好事” ** 大叔最新贊助方案已經上線啦** ** 希望用每月贊助的方式，能讓節目更好，也讓大叔們有更多力量支持台灣棒球★https://www.zeczec.com/projects/BaseballUncle543★** ** 有興趣合作的廠商歡迎私訊或email聊聊** ** email：baseballuncle543@outlook.com** ** IG：baseballuncle543** ** FB：大叔野球543** －－－－以下為 SoundOn 動態廣告－－－－ 中國信託X反應過激的貓，聯名貼圖限時登場！ 挺你所想！與你一起生活的銀行 即日起至2026年1月22日，加入中國信託LINE官方帳號就可以免費下載限定聯名貼圖，再完成貼圖互動遊戲，就可獲得美食優惠大禮包！ 趕緊來下載吧! https://sofm.pse.is/8jyd2q -- LINE GO 租車，13大廠牌、60種車款任你挑選！ 打開 LINE 主頁，點選 LINE GO 一鍵預約 異站取還車從宜蘭到台中，七大城市讓你怎麼玩都行！ 完成證件上傳，免費領 75 分鐘租車免費 輸入「LINEGO」，再送你 30 分鐘！ 立即領取 https://sofm.pse.is/8jyd2r LINE GO 租車，讓你去哪都行！ -- Hosting provided by SoundOn

Mike Harris is President and Co-Founder of Uproar PR, one of the fastest-growing consumer and technology agencies in the country. Since launching in 2011, Mike has led Uproar's expansion into major markets from New York to Tel Aviv, while shaping award-winning campaigns for brands like Planet Fitness, Rakuten, and Delsey Luggage Paris. We talk about how he blends creativity with data, how his team consistently lands top-tier national coverage—including a memorable product demonstration on CSI featuring a laser keyboard (watch here: https://www.youtube.com/watch?v=Jh6blxlnykM)—what it really takes to scale an agency, and the trends he believes will redefine PR in the years ahead. This episode drives into strategy, storytelling, and building a modern PR firm from the ground up.The PR Podcast is a show about how the news gets made. We talk with great PR people, reporters, and communicators about how the news gets made and strategies for publicity that drive business goals. Host ⁠⁠Jody Fisher⁠⁠ is the founder of Jody Fisher PR and works with clients across the healthcare, higher education, financial services, real estate, entertainment, and non-profit verticals. Join the conversation on ⁠⁠Facebook⁠⁠, ⁠⁠Twitter⁠⁠, ⁠⁠Instagram⁠⁠, and ⁠⁠TikTok⁠⁠ at @ThePRPodcast.Connect with Mike and Uproar PR:Mike Harris - https://www.linkedin.com/in/mikeharrispr/Website - https://uproarpr.com/The PR Podcast: Facebook - https://www.facebook.com/ThePRPodcast/Twitter - https://x.com/ThePRPodcast1Instagram - https://www.instagram.com/theprpodcast_/TikTok - https://www.tiktok.com/@theprpodcast?

In this podcast episode, we'll talk about last-minute uses for dining credits, AA bonvoying us, but too late to earn a Bonvoyed award, and we pick 2025's Deal of the Year. Giant Mailbag(01:24) - PSA for Dining credits(04:17) - Vote for your favorite soon: polls close 12/31You can vote here.(04:52) - Our Bonvoyed of the year picks(05:14) - The People have spokenBonvoyed(11:02) - AA: No more miles or Loyalty Points on Basic Economy fares with American AirlinesRead more about this here.Main Event: 2025 Deal of the Year(13:58) - Last year's "Deal of the Year" (2024)(17:58) - 2025 Candidates for "Deal of the Year"(18:15) - Airline & Hotel DealsRead more about Japan Airlines here.(19:23) - Learn more about Nick's JetBlue 25 for 25 journey here.(20:23) - Learn more about Wyndham's promo here.(21:11) - Credit card dealsLearn more about the Alaska Atmos Summit card here,(23:19) - Learn more about the American Express Platinum cards here.(27:50) - Learn more about the targeted American Express Business Platinum offer here.(28:48) - Learn more about the (now dead) Rakuten deal here.(30:55) - Learn more about the Citi Strata Elite recovery here.(33:43) - Learn more about Citi's addition of American Airlines as a transfer partner here.(35:36) - Other dealsLearn more about the Rakuten portal, earning Bilt points here.(37L17) - Our picks for "Deal of the Year."Question of the Week(45:12) - Anyone having trouble using Hyatt Suite Upgrade awards when using a third party like The Edit by Chase Travel℠ or Amex Fine Hotels & Resorts®?Subscribe and FollowVisit https://frequentmiler.com/subscribe/ to get updated on in-depth points and miles content like this, and don't forget to like and follow us on social media.Music Credit – “Ocean Deep” by Annie YoderMentioned in this episode:Check out this...

Teaching didn't burn us out - everything around it did.   NEW YEAR NEW TOUR coming your way! "Is it Friday Yet" dates in 2026 are available NOW!  Don't miss out on the Bored Teachers Comedy Tour coming to a city near you this NEW YEAR! Tickets going fast: https://bit.ly/TODBTCT    PLUS book your hosts for a speaking event at your school: https://teacherspeakers.com/    We're giving away over $3350 in gift cards EVERY SINGLE DAY all month long!! That's right, 31   Days of Amazing Gift Card Giveaways to celebrate YOU this holiday season!  https://bit.ly/TODHolidayGiveaway    Check out our MERCH! https://shop.boredteachers.com    Subscribe to our newsletter: https://www.beacons.ai/teachersoffdutypod   Send us a voice message: https://bit.ly/3UPAT5a    Listen to the podcast anywhere you stream your favorite shows:  Spotify: https://open.spotify.com/show/3hHNybdOJb7BOwe0eNE7z6?si=840ced6459274f98  Apple: https://podcasts.apple.com/us/podcast/teachers-off-duty/id1602160612  _________________________________   Teachers get your perks!! This episode is brought to you by:    Rakuten | Go to Rakuten.com Today and register for your FREE membership, and get your signing bonus. _________________________________ This week Bri, Anna, and Jessica dive into one of the hardest parts of the profession, TEACHER BURNOUT. From the nonstop chaos of the school day to the whirlwind of the Bored Teachers Comedy Tour, they unpack what burnout really feels like when you're teaching all day and still carrying the job home in your head and heart. They share personal stories about student behavior, wild sub situations, safety scares, grading marathons, and the invisible mental load teachers carry while trying to stay "on" for their kids. The conversation highlights how teachers are expected to be entertainers, counselors, and classroom managers while running on empty and still worrying about their students' lives outside of school. The crew also reflects on school safety, teacher pay, and the emotional toll of always being on high alert, especially in a world where teachers are too often dismissed when they speak up. If you've ever felt overwhelmed, exhausted, or unseen as an educator, this episode will make you feel understood, remind you you're not alone, and give you a chance to laugh through the chaos with people who truly get it.   Listen now & don't forget to subscribe!    Follow your hosts:  Briana Richardson @HonestTeacherVibes  Anna Kowal @ReadAwayWithMissK  Jessica Hawk @MyTeacherFace Follow us on all platforms @TeachersOffDutyPodcast _________________________________ Teachers Off Duty - A Bored Teachers©️ Podcast To advertise on the show, contact sales@advertisecast.com or visit https://advertising.libsyn.com/TeachersOffDuty

Did you think the kids were wild…wait until you meet their parents.   Our brand new "Is it Friday Yet" Comedy Tour is now on sale for 2026! Don't forget we are finishing off the year on TOUR..Tickets going fast: https://bit.ly/TODBTCT    PLUS book your hosts for a speaking event at your school: https://teacherspeakers.com/  We're giving away over $3350 in gift cards EVERY SINGLE DAY all month long!! That's right, 31 Days of Amazing Gift Card Giveaways to celebrate YOU this holiday season!  https://bit.ly/TODHolidayGiveaway    Check out our MERCH! https://shop.boredteachers.com    Subscribe to our newsletter: https://www.beacons.ai/teachersoffdutypod   Send us a voice message: https://bit.ly/3UPAT5a    Listen to the podcast anywhere you stream your favorite shows:  Spotify: https://open.spotify.com/show/3hHNybdOJb7BOwe0eNE7z6?si=840ced6459274f98  Apple: https://podcasts.apple.com/us/podcast/teachers-off-duty/id1602160612  _________________________________     Teachers get your perks!! This episode is brought to you by:    Rakuten | Go to Rakuten.com today to register for your FREE membership and get your signing bonus. _________________________________ This week Bri, Anna and Jessica dive into the hilarious chaos of teaching and parenting in 2025. From mispronouncing cities on the Bored Teachers Comedy Tour to matching outfits and Friday-energy tangents, the episode kicks off with pure unfiltered teacher humor. They unpack everything from confusing new math that makes everyone feel lost to latchkey-kid culture, kindergarten chaos, parent–teacher conference awkwardness, and why teacher kids are held to a whole different standard. Between cartwheeling classroom entrances, glue-covered desks, and parents who treat school like customer service, the trio keeps it honest and relatable. The conversation also hits on homework expectations, attention spans, and how teachers are now expected to be part educator, part entertainer, and part therapist. Grab your tickets to the Bored Teachers Comedy Tour and drop your funniest or wildest parent moments in the comments—we absolutely want the tea. Listen now & don't forget to subscribe!    Follow your hosts:  Briana Richardson @HonestTeacherVibes  Anna Kowal @ReadAwayWithMissK  Jessica Hawk @MyTeacherFace Follow us on all platforms @TeachersOffDutyPodcast _________________________________ Teachers Off Duty - A Bored Teachers©️ Podcast To advertise on the show, contact sales@advertisecast.com or visit https://advertising.libsyn.com/TeachersOffDuty

Stassi and C-O-Lo kick things off with a cool New Yorker who accidentally made Stassi question if the Magic Castle is secretly lame, which leads to a whole tangent about the dark web, online trolls, and Stassi giving Mormon Wives star Jen Affleck advice on handling negativity. Stassi talks about how inspired she is by Whitney Leavitt and how impressive it is to watch a working mom juggle so much—because it's rough out here and cheers to all of us. But the highlight? Stassi meets her actual hero, Kris Jenner, at the L'Oréal Women of Worth event—word vomit, vision board confession and all—and leaves feeling genuinely inspired. Oh, and she also discovers the greatest invention ever: a burrata bar. Iconic.Thanks for supporting our sponsors:Progressive: Well with the Name Your Price ® tool from Progressive you can be a better budgeter and potentially lower your insurance bill too! Try it today at Progressive.com.PlutoTV: Pluto TV is your portal to watch free movies and TV shows anywhere, on any device. Download today and discover the easy way to stream all your favorite content.Revolve: Shop at REVOLVE.com/STASSI and use code STASSI for 15% off your first order.#REVOLVEpartnerRakuten: Keep an eye out for Rakuten's weekly Big Deal Reveals download the app or install the browser extension.Quince: Go to Quince.com/stassi for free shipping on your order and 365-day returns.iRestore: Unlock your best skin with @iRestorelaser and HUGE savings on the iRestore Illumina Face Mask with code Stassi at irestore.com/Stassi! #irestorepodSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Welcome back to The Viall Files: Reality Recap!  Get excited, because today we welcome Whitney Carson and Carson McAllister to talk all about winning Dancing With The Stars, their relationship and more! Plus, we get into the return of RHOBH, the Secret Lives of Mormon Wives Reunion, Southern Charm and more! Grab your Gandalf beards, because you won't want to miss this one!  "What does winning mean to you?" Buy Our Merch: https://shop.viallfiles.com/  Are you interested in being a part of a dating docuseries, with the opportunity of meeting your one? Fill out our casting call! https://docs.google.com/forms/d/e/1FAIpQLSc8_echsNPYsFZZ1tIpyY_aMD75tB3kZwKWCfgVZuYeS-xJQg/viewform Subscribe to The ENVY Media Newsletter Today: https://www.viallfiles.com/newsletter  Listen to Humble Brag with Cynthia Bailey and Crystal Kung Minkoff. Available wherever you get your podcasts and YouTube: https://www.youtube.com/@humblebragpod https://podcasts.apple.com/us/podcast/humble-brag-with-crystal-and-cynthia/id1774286896 Start your 7 Day Free Trial of Viall Files + here: https://viallfiles.supportingcast.fm/  We've partnered with Mint Mobile to open a hot takes hotline to hear your scorching hot opinions! Give us your hot takes, thoughts and theories and we'll read and react to the best ones on an upcoming Reality Recap episode! All you have to do is call 1-855-MINT-TLK or, if you prefer the numbers, that's 1-855-646-8855 and leave us a message. Please make sure to subscribe so you don't miss an episode and as always send in your relationship questions to asknick@theviallfiles.com to be a part of our Monday episodes. Follow us on X/Twitter: https://twitter.com/TheViallFiles Listen To Disrespectfully now! Listen on Apple: https://podcasts.apple.com/us/podcast/disrespectfully/id1516710301 Listen on Spotify: https://open.spotify.com/show/0J6DW1KeDX6SpoVEuQpl7z?si=c35995a56b8d4038 Watch on YouTube: https://www.youtube.com/channel/UCCh8MqSsiGkfJcWhkan0D0w To Order Nick's Book Go To: http://www.viallfiles.com  If you would like to get some texting advice on Office Hours send an email to asknick@theviallfiles.com with "Texting Office Hours" in the subject line! To advertise on this podcast please email: ad-sales@libsyn.com or go to: https://advertising.libsyn.com/theviallfiles   THANK YOU TO OUR SPONSORS: Amazon - Visit https://Amazon.com and look for the Rufus icon for smarter, more affordable holiday shopping. American Home Shield - For new homeowners especially, it's one of the simplest ways to keep your budget on track and your stress down. Visit https://ahs.com/viallfiles for 20% off any plan today and see promo details. See https://ahs.com/contracts for coverage details, including service fees, limitations, and exclusions.  Homeaglow - Take home cleaning off your plate this Holiday season by using Homeaglow! Head to https://homeaglow.com/viall to get your first 3 hours of cleaning for only $19! Wayfair - Get last-minute hosting essentials, gifts for all your loved ones, and decor to celebrate the holidays for WAY less. Head to https://wayfair.com right now to shop all things home. BILT - Join the loyalty program for renters at https://joinbilt.com/viall  Cymbiotika - Go to https://cymbiotika.com/viall to get 20% off plus free shipping. Rakuten – Keep an eye out for Rakuten's weekly Big Deal Reveals where one great store offers epic–ly high Cash Back for one day only. Membership is free and it's super easy to sign up! You can go to https://rakuten.com, download the app or install the browser extension.  Fabletics - Head to https://fabletics.com/viall and sign up as a VIP to get 80% off everything. Timestamps: 00:00 - Intro 03:56 - Mormon Wives Reunion 35:29 - Whitney and Carson Join 01:13:36 - RHOBH 01:23:30 - Southern Charm Episode Socials:  @viallfiles @nickviall @nnataliejjoy @witneycarson @carson.mcallister @ciaracrobinson @justinkaphillips @leahgsilberstein @dereklanerussell @the_mare_bare

Get ready, America, because the new dance craze "Cream Nation" is sweeping the country faster than a soda fountain jerk slinging banana splits! From hip teenagers at the malt shop to squares cutting loose on the living room floor, everybody is jumping, jiving, and creaming their way into this sensational new dance! All you have to do is sway, shimmy, and jerk it like you're stirring up the sweetest sundae ever served! And then, just when you think you're going to burst, keep going until everyone is covered in warm, wet cream! This year, be a part of the sweetest and saltiest rhythm revolution the nation has ever known! Grab your best pal, hit the dance floor, and when that music starts, jump on in and join the Cream Nation jubilation! This episode is brought to you by BetterHelp! Give online therapy a try and get on your way to being your best self at: https://Betterhelp.com/BALD Get an exclusive $35 off Carver Mat by using Promo Code BALD at: https://on.auraframes.com/BALD If you want to finish the year with a sure thing, check out Audible's Best of 2025 and discover why there's more to imagine when you listen! Listen now at: https://Audible.com/baldandbeautiful Don't miss NOBL's biggest Sale of the Year! For up to 58% off your entire order, head to: https://NOBLTravel.com Stop what you're doing and go to: https://Rakuten.com , download the app, or install the browser extension right now! Join today for a “new member welcome bonus” after minimum qualifying purchases. Terms and conditions apply. Get a free can of OLIPOP this holiday season! Buy any 2 cans of Olipop in store, and we'll pay you back for one! Works on any flavor, any retailer, including the Yeti limited-edition cans! Head to: https://drinkolipop.com/BALD Follow Trixie: @TrixieMattel Follow Katya: @Katya_Zamo To watch the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://bit.ly/TrixieKatyaYT⁠ To check out our official YouTube Clips Channel: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/TrixieAndKatyaClipYT⁠ Don't forget to follow the podcast for free wherever you're listening or by using this link: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/thebaldandthebeautifulpodcast⁠ If you want to support the show, and get all the episodes ad-free go to: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://thebaldandthebeautiful.supercast.com⁠ To check out future Live Podcast Shows, go to: ⁠⁠⁠⁠https://trixieandkatya.com/#tour⁠ To check out the Trixie Motel in Palm Springs, CA: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.trixiemotel.com⁠ Listen Anywhere! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://bit.ly/thebaldandthebeautifulpodcast⁠ Follow Trixie: Official Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.trixiemattel.com⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@trixie⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/trixiemattel⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/trixiemattel⁠ Twitter (X): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/trixiemattel⁠   Follow Katya: Official Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.welovekatya.com⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@katya_zamo⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/welovekatya⁠ Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/katya_zamo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Twitter (X): ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/katya_zamo⁠   #TrixieMattel #KatyaZamo #BaldBeautiful Learn more about your ad choices. Visit podcastchoices.com/adchoices

Teaching then vs. teaching now — the glow-up, the chaos, and the comedy you won't believe.   Our brand new "Is it Friday Yet" Comedy Tour is now on sale for 2026! Don't forget we are finishing off the year on TOUR...Catch the Bored Teachers Comedy Tour coming to a city near you this December! Tickets going fast: https://bit.ly/TODBTCT  PLUS book your hosts for a speaking event at your school: https://teacherspeakers.com/  Check out our MERCH! https://shop.boredteachers.com    Subscribe to our newsletter: https://www.beacons.ai/teachersoffdutypod   Send us a voice message: https://bit.ly/3UPAT5a    Listen to the podcast anywhere you stream your favorite shows:  Spotify: https://open.spotify.com/show/3hHNybdOJb7BOwe0eNE7z6?si=840ced6459274f98  Apple: https://podcasts.apple.com/us/podcast/teachers-off-duty/id1602160612  _________________________________   Teachers get your perks!! This episode is brought to you by:    Betterhelp | Go to https://betterhelp.com/TOD to get 10% off today   Rakuten | Go to Rakuten.com today register for your FREE membership and get your siging bonus.   _________________________________ This week on Teachers Off Duty, Bri, Anna, and our newest co-host Jessica dive into a hilarious, chaotic, and shockingly relatable conversation about Teaching THEN vs. Teaching NOW — and let's just say… things have changed A LOT. From victory parades, doghouse punishments, and Catholic school trauma to scripted curriculum, red-pen drama, tech overload, middle school chaos, and why today's grading systems make ZERO sense… this episode is nonstop stories, teacher truths, and belly laughs. Plus, we're talking about everything from classroom management hacks and the power of productive struggle (instead of helicopter teaching) to how and when sarcasm actually works with kids, why admin support can completely make or break your school year, and how today's grading systems have changed the game. We also get into tech overload in the classroom, what it's really like teaching middle school chaos, the pressure on ELA teachers to be "perfect" spellers, and why kids today have zero fear of calling you by your first name.  Listen now & don't forget to subscribe!  Follow your hosts:  Briana Richardson @HonestTeacherVibes  Anna Kowal @ReadAwayWithMissK  Jessica Hawk @MyTeacherFace Follow us on all platforms @TeachersOffDutyPodcast _________________________________ Teachers Off Duty - A Bored Teachers©️ Podcast

Stassi and bestie Taylor Strecker are back with a big Happy Thanksgiving and an even bigger Friendsgiving—rented house, décor team, catering, and a strict no Instagram stickers rule. They plan their fall dress code (brown, olive, camel… absolutely no sequins), run through the essentials—stovetop stuffing, Taylor's crack dip, and rosé only because does anyone actually like Chardonnay? Then they jump to motherhood: Taylor's genius moment helping Messer change his own diaper, Stassi reflecting on how parenting changes everything, and her full commitment to building an empire like Kris Jenner. Happy Thanksgiving!Thanks for supporting our sponsors:Progressive: Well with the Name Your Price ® tool from Progressive you can be a better budgeter and potentially lower your insurance bill too! Try it today at Progressive.com.Nutrafol: Nutrafol is offering our listeners ten dollars off your first month's subscription and freeshipping when you go to nutrafol.com/stassi10.PlutoTV: Pluto TV is your portal to watch free movies and TV shows anywhere, on any device. Download today and discover the easy way to stream all your favorite content.Rakuten: Keep an eye out for Rakuten's weekly Big Deal Reveals download the app or installthe browser extension.Quince: Go to Quince.com/stassi for free shipping on your order and 365-day returns.Wayfair: Head to Wayfair.com now to shop Wayfair's Black Friday deals for up to 70% off. Sale ends December 7th.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on Sibling Rivalry, Ms. Pat joins Bob and Monét to talk about Clayton County, her viral meet and greet videos, and her creative partnership with Jordan E. Cooper. She shares her philosophy on supporting the LGBTQ+ community, and Ms. Pat steps in to settle some of Bob and Monét's beef. They discuss AI and whether Monét has been biting Bob's style. Plus, Ms. Pat on cancel culture, open relationships, and how she handles men hitting on her. Thanks to our sponsors: Go to https://zbiotics.com/RIVALRY and use RIVALRY at checkout for 15% off any first time orders of ZBiotics probiotics. Join today for a new member welcome bonus after minimum qualifying purchases at https://Rakuten.com. Terms and conditions apply. Ready to start? Visit https://WaldenU.edu today. Walden University. Set a Course for Change®. Certified to operate by SCHEV. Getting contacts doesn't have to be a hassle, order online at https://1800Contacts.com or download the free 1-800 Contacts app today! Want to see exclusive Sibling Rivalry Bonus Content? Head over to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.patreon.com/siblingrivalrypodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to be the first to see our latest Sibling Rivalry Podcast Videos! @BobTheDragQueen @MonetXChange Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Our first caller is ready for marriage but her boyfriend is holding back. Our second caller's BFF got pregnant with her ex-hookup, and she's wondering if that's crossing a line. And our third caller is dating the perfect man, but his kissing is NOT it.    "Stop giving him the benefits of marriage without committing to a marriage."   Listen to Humble Brag with Cynthia Bailey and Crystal Kung Minkoff every Monday. Available wherever you get your podcasts and YouTube: https://www.youtube.com/@humblebragpod  https://podcasts.apple.com/us/podcast/humble-brag-with-crystal-and-cynthia/id1774286896 https://open.spotify.com/show/4NWA8LBk15l2u5tNQqDcOO?si=c03a23d537f94735   Start your 7 Day Free Trial of Viall Files + here: https://viallfiles.supportingcast.fm/  Please make sure to subscribe so you don't miss an episode and as always send in your relationship questions to asknick@theviallfiles.com to be a part of our Monday episodes.  We've partnered with Mint Mobile to open a hot takes hotline to hear your scorching hot opinions! Give us your hot takes, thoughts and theories and we'll read and react to the best ones on an upcoming Reality Recap episode! All you have to do is call 1-855-MINT-TLK or, if you prefer the numbers, that's 855-646-8855 and leave us a message. To Order Nick's Book Go To: https://www.viallfiles.com  If you would like to get some texting advice, send an email to asknick@theviallfiles.com with "Texting Office Hours" in the subject line!  To advertise on this podcast please email: ad-sales@libsyn.com or go to: https://advertising.libsyn.com/theviallfiles    THANK YOU TO OUR SPONSORS: SKIMS - Shop my favorite pajamas at https://www.SKIMS.com. After you place your order, be sure to let them know we sent you! Select "podcast" in the survey and be sure to select our show in the dropdown menu that follows Cozey - Transform your living space today with Cozey. Visit https://www.Cozey.com. The home of possibilities, made easy. Aura Frames - For a limited time, visit https://www.AuraFrames.com and get $45 off Aura's best-selling Carver Mat frames - named #1 by Wirecutter - by using promo code VIALL at checkout. This exclusive Black Friday Cyber Monday deal is their best of the year, so order now before it ends! Support the show by mentioning us at checkout! Legendz - Plus, when you sign up today, you can get a 100% match on your first purchase — up to $100. That's https://www.legendz.com with promo code VIALL Pretty Litter - Right now try your first bag for just $14.99 and get a free cat toy at https://www.PrettyLitter.com/viall, to get your first bag for just $14.99.  Cymbiotika - Go to https://www.Cymbiotika.com/Viall for 20% off plus free shipping.  Rakuten - You can go to https://www.Rakuten.com, download the app or install the browser extension. Join today for a new member welcome bonus after minimum qualifying purchases. Terms and conditions apply. Timestamps: (00:01) - Intro (08:22) - Caller 1 (39:37) - Caller 2 (53:32) - Caller 3   Episode Socials: @viallfiles @nickviall @justinkaphillips @the_mare_bare @dereklanerussell  

This week on Sibling Rivalry, Bob and Monét are talking about sitcoms, whether Gilmore Girls actually makes sense, the similarities between the Full House and Family Matters themes and why Gen Z is missing out on iconic TV theme songs. They compare their heights to other Drag Race queens, talk about twink status and whether facial hair ruins it, and break down what “hung” really means. They build a dream guest list to celebrate the upcoming milestone of ten years of Sibling Rivalry and ask if the Rock might be the greatest showman of all time. Plus, semi truck accidents and their ideal balance of alone time and togetherness in relationships. Thanks to our sponsors: Go to https://zbiotics.com/RIVALRY and use RIVALRY at checkout for 15% off any first time orders of ZBiotics probiotics. Join today for a new member welcome bonus after minimum qualifying purchases at https://Rakuten.com. Terms and conditions apply. Ready to start? Visit https://WaldenU.edu today. Walden University. Set a Course for Change®. Certified to operate by SCHEV. Getting contacts doesn't have to be a hassle, order online at https://1800Contacts.com or download the free 1-800 Contacts app today! Want to see exclusive Sibling Rivalry Bonus Content? Head over to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.patreon.com/siblingrivalrypodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to be the first to see our latest Sibling Rivalry Podcast Videos! @BobTheDragQueen @MonetXChange Learn more about your ad choices. Visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠megaphone.fm/adchoices⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Lesson plans by day. Red flags by night. Let's talk teacher dating.   All new dates for our brand new tour "Is it Friday Yet" are now available! But remember, we are still in 2025...Catch the Bored Teachers Comedy Tour coming to a city near you this December! Tickets going fast: https://bit.ly/TODBTCT  PLUS book your hosts for a speaking event at your school: https://teacherspeakers.com/    Check out our MERCH! https://shop.boredteachers.com    Subscribe to our newsletter: https://www.beacons.ai/teachersoffdutypod   Send us a voice message: https://bit.ly/3UPAT5a    Listen to the podcast anywhere you stream your favorite shows:  Spotify: https://open.spotify.com/show/3hHNybdOJb7BOwe0eNE7z6?si=840ced6459274f98  Apple: https://podcasts.apple.com/us/podcast/teachers-off-duty/id1602160612  _________________________________   Teachers get your perks!! This episode is brought to you by:    Rakuten | Go to Rakuten.com today register for your FREE membership and get your siging bonus.   Function Health | Go to www.functionhealth.com/TOD or use code TOD100 to get $100 membership credit   Clean My Mac X | Go to cleanmymac.com to get 20% your first order with CODE: DUTY20 and try for FREE your first 7 DAYS!   _________________________________ Love, laughter, and a little classroom chaos — this week's episode of Teachers Off Duty is all about dating as a teacher and the hilarious, awkward, and sometimes cringe stories that come with it. From secret school romances to wild parent interactions, hyperbole mishaps, and teacher voice debates, the crew spills it all. Bri, Albraden, and Anna get real about what it's like to date inside and outside the teacher world — the coworkers who gossip, the students who always find out, and why online dating feels like grading group projects. They even unpack fake dating profiles, teacher crushes, and the dreaded "teacher voice" moment that shows up off the clock. If you've ever tried to balance lesson plans and love life, this one's for you. Grab your coffee, your grading pile, and tune in for the teacher talk that gets a little too real and funny. Listen now & don't forget to subscribe!    Follow your hosts:  Briana Richardson @HonestTeacherVibes  Anna Kowal @ReadAwayWithMissK  Albraden Hills @atxhills Follow us on all platforms @TeachersOffDutyPodcast _________________________________ Teachers Off Duty - A Bored Teachers©️ Podcast