Podcasts about gsm

If you've ever had urinary symptoms that antibiotics didn't fix — and your cultures kept coming back negative — this episode is for you.A new 2026 study in the Journal of Sexual Medicine followed 253 women with recurrent UTIs and persistent urogenital symptoms despite negative urine cultures. What researchers found reframes everything: 85% of these women had hormonally mediated vestibulodynia, 75% had pelvic floor hypertonicity, and only 15% had a classic urologic cause for their symptoms.This isn't a bladder problem. It's a hormone problem — and the vulvar vestibule, urethra, and bladder are one integrated, estrogen- and androgen-responsive system. Whether it presents as genitourinary syndrome of menopause (GSM) in a postmenopausal woman or hormonally mediated vestibulodynia in a younger one, the tissue-level pathophysiology is the same.In this episode, Dr. Carolyn Moyers breaks down:• Why persistent urinary symptoms after negative cultures have a hormonal explanation• The shared embryologic origin of the vestibule, urethra, and bladder trigone — and why it matters• How androgen deficiency drives vestibular inflammation, pelvic floor guarding, and bladder dysfunction in a self-perpetuating cycle• Why this affects premenopausal women too — 98.9% of premenopausal patients in the study had below-range free testosterone• What the Rubin et al. 2025 data adds: vaginal prasterone (DHEA) was associated with meaningfully lower UTI rates in women with vulvovaginal atrophy — treating the hormone environment changed the urological outcome• What integrated treatment looks like — vaginal estrogen for GSM, compounded estradiol/testosterone gel for vestibulodynia, pelvic floor PT for hypertonic muscles• The honest limits of this research: selection bias, non-uniform hormonal evaluation, absence of long-term outcome data — and what prospective studies still need to answerThis episode builds directly on Episode 149 — When Sex Hurts with Dr. Jill Krapf. If you haven't listened to that one, it is linked below and is essential companion listening.https://podcasts.apple.com/us/podcast/sky-womens-health/id1541657642?i=1000630939731

EPISODE DESCRIPTION I sat down with Mamadou Kwidjim Toure, co-founder of U-Tribe and GIFT (Gold International Fungible Token), to explore one of the most ambitious real-world asset projects I've come across. Mamadou spent decades in banking and early-stage investing across Africa , including in the first GSM projects and mobile payments before M-Pesa , and he turned that experience into a mission: giving anyone on earth access to physical, one-to-one backed gold from as little as 15 cents. We talk about why central banks are quietly buying more physical gold than at any point in the past 40 years, why the gold ETF market is dangerously over-encumbered, and how GIFT's MiCA-regulated token could become the financial safety net for 2.5 billion people across 35 countries. Mamadou also walks me through their quantum-enhanced wallet, their Ubuntu Academy for financial and digital literacy, and their upcoming STO launching in July. This one is packed with insight on the real shift happening in global finance right now. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/ CONNECT U-Tribe / GIFT: https://utribe.one/Twitter/X: https://x.com/UtribeOneWeb3 with Sam Kamani Podcast: https://www.web3pod.xyz/ KEY POINTS WITH TIMESTAMPS • [00:01] Sam introduces Mamadou and the GIFT tokenized gold project, noting the recent MiCA license in Europe• [01:36] Mamadou shares his background: 20+ years in African banking and tech investment, including early GSM and mobile payments before M-Pesa• [03:46] The origin of GIFT , one milligram of gold accessible from 15 cents on any mobile phone, backed one-to-one by physical gold• [05:06] The global financial shift: why the world is moving back toward asset-backed monetary systems and away from dollar dominance• [06:48] Central banks bought over 1,300 tons of gold last year and more physical gold in the past decade than the previous 40 years• [07:16] Why the gold ETF market is 10–15x over-encumbered and what that means for ordinary investors• [09:53] How blockchain solves the collateral problem for financial inclusion , instant loans from as little as 10 cents of gold• [10:42] GIFT holds a MiCA license in Europe and is upgrading to asset reference token status, with 30+ countries and 2.5 billion people in reach within five months• [13:05] Physical gold is stored in vaults in Zurich, Stuttgart, Copenhagen, Dubai, and Singapore, insured by Lloyds of London and audited on-chain• [16:30] The quantum-enhanced wallet , one of only four or five in the world , is live on Google Play Store and coming to App Store• [17:43] Ubuntu Academy inside the wallet: financial literacy, digital literacy, vocational training, and ethical leadership powered by a personalised AI tutor• [19:29] 10% of transaction fees go toward education and healthcare, including in the mining communities where the gold is extracted• [23:39] How Mamadou explains RWAs to newcomers: a digital title deed, like a certificate of ownership , no crypto jargon needed• [26:48] How to onboard: download the app on Google Play or visit utribe.gift.app, complete KYC, and pay via card, wire, mobile money, or voucher• [28:00] Key Web3 infrastructure shifts: NYSE moving $87 trillion of assets on-chain, DTCC moving on-chain, 130+ nations working on CBDCs• [30:55] Long-term vision: launching SIFT (Silver International Fungible Token), becoming a tokenization-as-a-service infrastructure provider• [33:20] Upcoming July STO (Security Token Offering) and tokenized convertible bond to finance gold extraction and fuel growth

Israeli military forces captured the latest convoy of humanitarian aid ships sailing to Gaza with the Global Sumud Flotilla (GSM) between late April and mid-May. Activists who were imprisoned by Israel for days and eventually deported have reported harrowing treatment by their captors, including targeted torture, abuse, broken bones, unauthorized injections of undisclosed substances, and sexual violence by Israeli soldiers. We speak with a panel of freed GSM participants—Thiago Ávila, Catríona Graham, and Ariadne Telles—about what they saw and endured, and about the successes, defeats, and future of the movement to break Israel's siege on Gaza.Studio Production / Post Production: David HebdenBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-real-news-podcast--2952221/support.Help us continue producing radically independent news and in-depth analysis by following us and becoming a monthly sustainer.Follow us on:Bluesky: @therealnews.comFacebook: The Real News NetworkTwitter: @TheRealNewsYouTube: @therealnewsInstagram: @therealnewsnetworkBecome a member and join the Supporters Club for The Real News Podcast today!

Who controls what happens between women's legs after menopause?It's a confronting question, but one that sits at the heart of this episode.In this short, powerful conversation, I am joined by menopause specialist and sexologist Dr Angela Wright to explore why so many women — particularly those who have had cancer — are still being denied access to vaginal and vulval oestrogen treatments. And why we're not routinely having the conversation about sexual health after cancer treatment.Despite being widely recognised as one of the most effective and low-risk treatments for genitourinary symptoms of menopause (GSM), access remains incredibly low. Many women are left navigating pain, dryness, recurrent infections, loss of sexual function, and a deep impact on identity and relationships — often without being offered treatment. Or they're told ‘no'.This episode explores:Why are women not allowed to make an informed choice about their intimate health?The realities of genitourinary syndrome of menopause (GSM) — and why it's more than “just dryness”The added complexity for women on treatments like aromatase inhibitors (e.g. Letrozole)The emotional and relational impact of untreated symptomsHow history, culture, and medical caution continue to shape women's access to careThe growing body of guidance suggesting low-dose vaginal hormones may be appropriate for many women, including after breast cancerThe balance between clinical responsibility and patient autonomyThis is not a black-and-white conversation. It's not about right or wrong.It's an invitation — to think, to question, and to open up more honest, informed conversations between patients and healthcare professionals.Because at its core, is it about choice?Links mentioned in this episode:You can find Dr Wright here: https://spicedpearhealth.co.uk/about/Sweetness of Venus: A history of the clitoris book https://www.amazon.co.uk/Sweetness-Venus-History-Clitoris/dp/B08W3NZ1H9Women's Health Made Easy Book: for Healthcare Professionals, click hereMore information about vaginal oestrogen after breast cancer: https://menopauseandcancer.org/navigating-vaginal-oestrogen-after-breast-cancer-what-every-woman-needs-to-know/Episode Highlights:00:00 Intro05:36 Doctor's journey and women's health08:17 Challenges of Menopause Treatment10:32 Debating hormone prescription guidelines14:25 Discussing medical trauma and autonomy18:19 Discussing bodily agency and benefits21:18 Reclaiming life after trauma24:31 Understanding compliance with endocrine therapies26:42 Valuing women's opinions in healthcare29:48 Discussing erectile dysfunction post-cancer34:39 Opening conversations on sexual healthConnect with us:For more information and resources visit our website: www.menopauseandcancer.org Or follow us on Instagram @menopause_and_cancerJoin our Facebook group: www.facebook.com/groups/menopauseandcancerchathub

In this episode, Jillian Moehle focused on the latest evidence-based strategies for recognizing and treating Genitourinary Syndrome of Menopause (GSM). She explored newly updated guidelines from the American Urological Association, emphasizing the importance of proactive screening, a comprehensive approach to patient history, and the range of therapeutic options available, from non-hormonal treatments like moisturizers and lubricants, to hormone-based therapies including low-dose vaginal estrogen. Several points were raised, including safety considerations, the removal of the FDA black box warning on vaginal estrogen, and the crucial role of pelvic floor health in patient outcomes.Enroll now in: Under-Recognized, Under-Treated, and Misrepresented Realities of the Perimenopause and Menopause Transition, with Leslie Fuller, ND and Jillian Moehle, ND at https://pages.kharrazianinstitute.com/fuller-moehle-perimenopause00:00 Vaginal treatment recommendations and concerns05:26 Discussing hormone therapy alternatives08:13 Treatment options for vaginal health13:16 FDA removes black box warning15:24 Support for vaginal estrogen use18:13 Using GoodRx and applying cream22:00 Possible side effects and management24:54 Impact of GSM on women's health30:59 Podcast outro and resources sharingSupport this show http://supporter.acast.com/solving-the-puzzle-with-dr-datis-kharrazian. Hosted on Acast. See acast.com/privacy for more information.

Graham "GSM" Matthews and RJ Marceau have New York Knicks fever on this week's WrestleRant Radio... okay, at least GSM does, but they do have a lot to say about the ongoing NBA Finals and if the Knicks have a chance of pulling it out against the San Antonio Spurs. They briefly dive into some other sports talk and react to The Don Callis Family recruiting yet another new member before breaking down El Grande Americano vs. "Original" El Grande Americano from AAA Noche de los Grandes, including what's next for both men and how it just might be WWE's best match of the year so far. Plus, they give their in-depth analysis of WWE Clash in Italy and why it was a strong show marred by bad booking decisions. Has the landscape of WWE truly changed as Triple H declared it would? They also offer their predictions for the King and Queen of the Ring brackets and who will go on to win each one!

In this eye-opening episode of the Millionaire Car Salesman Podcast, Sean V. Bradley sits down with CBT News co-founder and automotive industry veteran Jim Fitzpatrick for a conversation that every dealer principal, general manager, and automotive leader needs to hear. "The FTC is going to be saying, look, you can't play games with this. If your salesperson is out there pitching a price on a car... your salesperson is now going to be representing to the consumers what the sale price of that car is." - Jim Fitzpatrick As the FTC increases its focus on dealership advertising, pricing transparency, and consumer protection, many retailers are left wondering: Is my dealership truly prepared? Sean and Jim unpack one of the most important topics facing the automotive industry today, exploring how regulatory changes, compliance expectations, and evolving consumer demands are reshaping the dealership landscape. From pricing disclosures and advertising practices to the growing influence of social media and personal branding, this discussion highlights why old habits could create new risks in today's market. "We're really bringing together the smartest minds in retail automotive or most of them, to bring them together to say, look, let's help dealers figure this thing out." - Jim Fitzpatrick Without giving away all the answers, this episode challenges dealers to think differently about compliance, leadership, training, and accountability. More importantly, it highlights why staying informed and proactively adapting may be one of the biggest competitive advantages a dealership can have moving forward. Whether you're a dealer principal, GM, GSM, compliance officer, or automotive professional, this conversation will help you better understand the road ahead and why industry leaders are paying close attention to the conversations surrounding FTC enforcement, dealership operations, and the future of automotive retail. Register for the Auto Leadership Summit in Washington, D.C. here and get $100 OFF with code 'SEAN100': https://www.cbtnews.com/auto-leadership-summit/ Because in today's environment, what you don't know could cost you far more than you think… Key Takeaways: ✅ The FTC is focusing on fair pricing and transparent marketing practices in the automotive industry to protect consumer interests. ✅ Dealers need a comprehensive training program that includes a structured compliance strategy to address pricing and social media marketing challenges. ✅ Social media influencers and individual sales representatives can unwittingly cause compliance issues if they post content related to pricing without understanding the implications. ✅ Establishing a robust audit system for social media content posted by dealership employees is vital to maintain compliance and protect brand reputation. ✅ The CBT News Auto Leadership Summit on Fair Pricing and Compliance will offer insights from experts across the industry on how to navigate these compliance challenges.   About Jim Fitzpatrick Jim Fitzpatrick is a 25-year veteran of the retail automotive industry. He began his career in 1980 as a new car salesperson at a high-volume Toyota dealership in South Florida and quickly rose through the ranks, holding executive positions with AutoNation and JM&A. In 2001 Jim became the Managing Partner of a Toyota dealership in Augusta Georgia.  In 2004 Jim, along with his son, John, co- founded Force Marketing in Atlanta, Georgia which currently serves over 1600 franchised dealers throughout North America. In 2012, realizing the need for new car dealers to have their own news and information platform, Jim and his wife Bridget, launched CBT Automotive Network.  In addition to providing daily news reports, CBT produces nine weekly shows, hosted by the industry's best known consultants and trainers. Each show focuses on different departments of the dealership operation. Over 54,000 dealer principals, OEM, and Association Executives throughout North America receive CBT's daily newsletters. A recent study found that more people view CBT's video segments than any other automotive media platform. A father of five and grandfather of six, Jim lives in Atlanta, Georgia with his family.     Harnessing Regulatory Compliance and Social Media Strategy in Automotive Sales: Insights from Industry Leaders   Key Takeaways Social Media Compliance: Dealerships must enforce strict social media policies to ensure compliance with Federal Trade Commission (FTC) regulations and protect their brand image. Price Transparency: Aligning advertising strategies with FTC guidelines on fair pricing can prevent costly violations and enhance consumer trust. Training and Policies: Implementing comprehensive training programs and policies can safeguard dealerships against potential regulatory breaches and maintain operational integrity.   Navigating the Complex World of Social Media Compliance In the ever-evolving automotive industry, dealerships face a growing demand to maintain transparency and compliance, particularly in the realm of social media. The transcript from a riveting conversation between Jim Fitzpatrick and Sean V. Bradley highlights the importance of ensuring dealership employees adhere to social media guidelines set by the FTC. Fitzpatrick asserts that social media has become crucial in portraying a dealership's brand and customer experience. "Take the influencers and have them talk about the experience, have them talk about the selection," he suggests, emphasizing content that avoids pricing to remain compliant. The conversation underscores the significant role dealerships' social media strategies play in forming consumer perceptions and regulatory compliance. With employees potentially acting as brand ambassadors online, the repercussions of non-compliant posts can be detrimental. Discounted prices or misleading offers shared on personal platforms, as Fitzpatrick points out, can draw unwanted regulatory scrutiny. Dealerships are not just at risk of tarnishing their reputation but also face hefty fines. Simply put, ensuring a strategy that focuses on non-monetary aspects of the dealership experience can protect both brand and financial standing. Price Transparency: A Path to Building Consumer Trust Price transparency in dealership advertising is another crucial theme woven throughout the dialogue. The FTC, under the Biden administration, has intensified its focus on what it terms "junk fees" in various industries, including automotive. "Maybe the managers are saying, well, in order for us to be compliant, we're going to price ourselves right out of the marketplace," Fitzpatrick notes, acknowledging the balance dealerships must strike between competitive pricing and regulatory adherence. According to Bradley, the importance of consistency across advertised prices and what consumers actually pay when they walk into a dealership cannot be overstated. Misleading pricing not only disrupts consumer trust but also exposes dealerships to severe penalties. With the FTC reportedly sending out 97 warnings to dealerships about these practices, the industry is on high alert. Dealerships must ensure that their advertising reflects the actual purchase price, minus incentives, to maintain compliance and consumer confidence. Comprehensive Training and Policies for Sustainable Operations Both Bradley and Fitzpatrick adamantly express the importance of robust training and policy establishment to mitigate the risks of regulatory infringements. Fitzpatrick underscores the need for ongoing employee education, suggesting that training programs specifically tailored to reinforce compliance norms can be a dealership's strongest defense. "If you don't have ongoing training in this area…you have no defense," he mentions. Bradley concurs, emphasizing the necessity of consistent managerial oversight and the implementation of structured communication protocols, such as computer use policies. These measures not only ensure that the dealership aligns with federal regulations but also empower employees with the knowledge they need to uphold the company's reputation. Comprehensive, routine audits and training can preemptively address and rectify potential compliance issues before they escalate to external disputes or regulatory scrutiny.   Navigating the intricacies of compliance in the automotive industry requires a proactive and strategic approach. By fostering a culture of transparency and accountability through comprehensive training and controlled social media strategies, dealerships can fortify themselves against regulatory pitfalls. As the conversation between Bradley and Fitzpatrick poignantly illustrates, these measures not only safeguard against financial penalties but also contribute to building a resilient, consumer-focused brand reputation in a competitive industry landscape.     Resources + Our Proud Sponsors:   ➼ The Millionaire Car Salesman Facebook Group: Join the #1 Automotive Sales Mastermind Facebook Group with over 29,000 automotive professionals worldwide. The Millionaire Car Salesman Facebook Group is the go-to community for car salespeople, BDC agents, sales managers, general managers, and dealer principals looking to increase performance, income, and leadership skills. Inside the group, members collaborate daily on automotive sales strategies, lead handling, phone scripts, closing techniques, CRM best practices, dealership leadership, and accountability systems. Learn directly from top automotive trainers, industry mentors, and high-performing sales leaders who are actively winning in today's market. If you're serious about growing your automotive career, increasing car sales, and building long-term success, join The Millionaire Car Salesman Facebook Group today! ➼ Dealer Synergy: Dealer Synergy is the automotive industry's #1 Sales Training, Consulting, and Accountability Firm, with over 20 years of proven dealership success nationwide. We specialize in helping car dealerships increase sales, improve processes, and build high-performing Sales, Internet, and BDC departments from the ground up. Our expertise includes automotive phone scripts, rebuttals, CRM action plans, lead handling strategies, BDC workflows, Internet sales processes, management training, and accountability systems. Dealer Synergy partners directly with dealership leadership to align people, process, and technology, ensuring consistent results and scalable growth. From independent dealers to large dealer groups and OEM partnerships, Dealer Synergy delivers measurable performance improvements, stronger teams, and sustainable profitability. ➼ Bradley On Demand: Bradley On Demand is the automotive industry's most advanced interactive training, tracking, testing, and certification platform for car dealerships — built to develop top-performing teams across Sales, Internet Sales, BDC, CRM, Phone Skills, Leadership, and Management. In addition to LIVE virtual automotive training classes and a library of 9,000+ on-demand dealership training modules, Bradley On Demand now includes AI Phone Roleplaying and Coaching to help salespeople and BDC agents practice real dealership conversations before they ever get on the phone with customers. This AI-powered roleplay technology strengthens phone scripts, objection handling, appointment setting, lead follow-up, and closing skills, while providing measurable coaching feedback for continuous improvement. Bradley On Demand empowers dealerships to train faster, coach smarter, improve call performance, increase closing ratios, and sell more cars more profitably — all through structured, trackable, modern automotive training.

In this episode of AUA News Inside Tract, Drs. Yahir Santiago-Lastra and Fenwa Milhouse break down genitourinary syndrome of menopause (GSM), a common but often overlooked condition. They explore why fear of estrogen persists, clarify the safety of vaginal estrogen, and share practical, real-world prescribing tips to help clinicians confidently treat patients and improve quality of life.

Hormone therapy after breast cancer is one of the most nuanced and emotionally charged conversations in women's health.For decades, many women have been told the answer is simply: no.No discussion.No nuance.No consideration of quality of life, sexual health, bone health, brain health, or the individual woman sitting in the exam room.But what does the research actually say?In this episode of Pleasure in the Pause, I welcome back Dr. Susan Hardwick-Smith, board-certified gynecologist and certified menopause practitioner, for a grounded, evidence-informed conversation about hormone therapy after breast cancer.This is not a conversation about ignoring risk.It is a conversation about understanding risk clearly, asking better questions, and making informed decisions in partnership with your physician.About our guest: Dr. Susan Hardwick-Smith is a Board-Certified Gynecologist and certified menopause practitioner specializing in women's midlife wellness, hormone optimization and sexual wellness. She is the founder of Complete Midlife Wellness Center in Houston, TX, and the best-selling author of "Sexually Woke- Awaken the Secrets to Your Best Sex Life in Midlife and Beyond." She also hosts the popular podcast "Empowering Midlife Wellness." Dr. Susan is the recipient of the Texas Super Doctor award over a dozen times, as well a multiple time recipient of H-Texas magazine's Top Doctor and Top Doctor for Women awards. She also has been chosen as one of Houston's "3 best rated" gynecologists several consecutive years. Dr. Susan is also an ICF certified life and leadership coach, multiple time marathoner and Ironman triathlete, and mother of 3 teenagers. Highlights from our discussion include:What the Women's Health Initiative actually found — and why the headlines created so much confusionWhy breast cancer type matters when discussing hormonesWhat the research shows about hormone therapy and breast cancer recurrenceWhy some women on aromatase inhibitors may still be able to discuss options like progesterone, testosterone, and vaginal estrogen with their doctorHow to prepare for a more informed conversation with your physicianWhy collaborative decision-making matters in women's healthcareThe importance of considering quality of life, sexual health, bones, heart, and brain health — not just risk My hope is that this episode helps you feel more informed, more empowered, and more confident asking questions about your own body and care. If you're seeking to reclaim your pleasure and vitality, join Gabriella at⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.pleasureinthepause.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for this enlightening journey into the heart of female pleasure and empowerment.Resources:Dr. Susan Hardwick Smith: https://drsusan.com/ Instagram: https://www.instagram.com/drsusanofficial/ Bluming review article in Cancer journal (2022): https://pubmed.ncbi.nlm.nih.gov/35594465/ Menopause Society consensus paper (January 2026): https://www.imsociety.org/statements/position-papers-and-consensus-statements/ Hormone Replacement Therapy After Breast Cancer: It Is Time Avrum Z. Bluming, MD LINK - https://bit.ly/4st0uji Menopausal Hormone Therapy for Breast Cancer Patients: What Is the Current Evidence? LINK - https://bit.ly/41leKytAmerican Urological Association Guidelines on GSM 2025 https://www.auanet.org/guidelines-and-quality/guidelines/genitourinary-syndrome-of-menopauseCONNECT WITH GABRIELLA ESPINOSA:InstagramLinkedInWork with Gabriella! Full episodes on YouTube.The information shared on Pleasure in the Pause is for educational and informational purposes only and is not intended as medical advice. Always consult your healthcare provider before making any decisions about your health or treatment. The views expressed by guests are their own and do not necessarily reflect the views of the host or Pleasure in the Pause.

Send us Fan MailHot flashes and sleep disturbances get most of the attention when we talk about menopause, but there are another set of symptoms that often goes completely unmentioned due to discomfort or embarrassment. Genitourinary Syndrome of Menopause, or GSM, affects up to 87 percent of all post-menopausal women, impacting everything from pelvic comfort to urinary health. Our guest expert for this episode is Kristen Sharma, APRN, a family nurse practitioner with Texas Tech Physicians. She explains  what GSM actually is, how the drop in estrogen affects a woman's quality of life, including sexual functioning and recurring UTIs, and the highly effective treatments available that can restore health, comfort and quality of life.Related episodes:There is Help for Female Urinary IncontinenceUnderstanding Urinary Tract Infections, Treatments, PreventionLet's Get Real About Sexual HealthFrom Perimenopause to Post-Menopause: Taking the Mystery Out of Menopause

April's almost over, but the past week in wrestling has been nothing short of eventful! Graham "GSM" Matthews and RJ Marceau start off with some NBA talk, a tease of a Lucha Underground return and a review of Netflix's Real American documentary on Hulk Hogan before addressing the giant elephant in the room: WWE's latest round of releases. They get into all of it including why most of the cuts weren't surprising but why certain ones were disappointing, who could've done more and will do more elsewhere, the reasoning behind the releases, if Kairi Sane could be brought back, why Triple H is as much to blame for the firings as TKO, and much more. On the subject of The Game, GSM and RJ share their thoughts on him reportedly re-signing with WWE, whether his job could still be in jeopardy regardless and how it relates to Dana White. Plus, in their review of Raw, the duo discuss seeds being planted for Roxanne Perez turning babyface and when it should happen, three major matches being set for Backlash, and if Oba Femi issuing weekly open challenges is a waste of his hot momentum.

We are long overdue for an updated conversation on low estrogen — and today I'm pulling it all apart. Estrogen has been villainized for far too long, and I want to change that. This isn't just about reproductive health or getting your period. Estrogen is a master communicator that touches your brain, heart, bones, gut, skin, mood, sleep, libido, and so much more.   In this episode, I cover: Why low estrogen is one of the most missed and underdiagnosed issues for women between 35 and 65 The three types of estrogen (E1, E2, E3) and why estradiol matters so much beyond fertility Why estrogen often increases first in perimenopause before it eventually declines — and what that means for your symptoms The symptom clusters to pay attention to, organized by body system: Brain, mood & sleep — brain fog, anxiety, emotional flatness, rage responses, waking between 2–4am Body composition & metabolic health — belly fat shifts, muscle loss, fatigue, insulin resistance Skin, hair & connective tissue — collagen loss, hair texture changes, joint pain, frozen shoulder, ACL issues Vaginal & urinary health (GSM) — dryness, painful sex, recurring UTIs, urgency, bladder changes Cardiovascular & bone health — rising LDL, heart palpitations, hot flashes, bone density loss Gut & digestion — bloating, constipation, new food sensitivities, the estrobolome and estrogen recirculation The symptoms I personally would never ignore (waking 2–4am, joint pain without a clear cause, rapid body composition shifts, recurrent UTIs, brain fog affecting your work, heart palpitations) What to ask your doctor to test: FSH, LH, estradiol, progesterone, testosterone, full thyroid panel, fasting glucose and insulin, cholesterol, CBC, SHBG — and when functional testing like DUTCH or HTMA may be useful My thoughts on DIM, sulforaphane, calcium-d-glucarate, magnesium, adaptogens (ashwagandha, rhodiola, maca), omega-3s, creatine, collagen, and vitamin D Nutrition strategies — phytoestrogen-rich foods, cruciferous veggies, fiber, protein targets (30–40g per meal), healthy fats, and what to cut Movement priorities — why resistance training 3–4x/week is non-negotiable for bone, muscle, and metabolic health Hormone replacement therapy — what options exist, how to approach the conversation with your provider, and why your protocol will evolve over time   Let's dive in! Thank you for joining us today. If you could rate, review & subscribe, it would mean the world to me! While you're at it, take a screenshot and tag me @jennpike to share on Instagram – I'll re-share that baby out to the community & once a month I'll be doing a draw from those re-shares and send the winner something special! Click here to listen: Apple Podcasts – CLICK HERESpotify – CLICK HERE This episode is sponsored by: withinUs | Use the code JENNPIKE20 at withinus.ca for a limited time to save 20% off your first order and 20% off your first subscription order St. Francis | Go to stfrancisherbfarm.com and save 15% off your all your orders with code JENNPIKE15  Eversio Wellness | Go to eversiowellness.com/discount/jennpike15 and save 15% off every order with code JENNPIKE15 /// not available for "subscribe & save" option Free Resources: Free Perimenopause Support Guide | jennpike.com/perimenopausesupport Free Blood Work Guide | jennpike.com/bloodworkguide The Simplicity Sessions Podcast | jennpike.com/podcast Get 20% on thewalkingpad.com using code "JENNPIKE20" Metabolic Guide | jennpike.com/metabolic-guide Get discounts at happybumco.com using code "JENNPIKE" *code doesn't apply with Black Friday sale* Programs: Ignite: Your 8-Week Body Transformation Program | https://jennpike.com/ignite The Peri & Menopause Project  - Join the Waitlist | jennpike.com/theperimenopauseproject Synced Virtual Fitness Studio | jennpike.com/synced Services: Work With Jenn | https://jennpike.com/work-with-jenn/ Functional Testing | jennpike.com/testing-packages Business Mentorship | The Audacious Woman Mentorship:  jennpike.com/theaudaciouswoman Connect with Jenn: Instagram | @jennpike Facebook | @thesimplicityproject YouTube | Simplicity TV Website | The Simplicity Project Inc. Have a question? Send it over to hello@jennpike.com and I'll do my best to share helpful insights, thoughts and advice.

AI-powered tracking without GPS sounds impossible—until you see how it's already transforming real-world operations. In this episode, Sigfox South Africa CEO Gregory Rood explains how next-generation IoT networks are redefining asset tracking in environments where traditional systems fail. From vehicle recovery in high-risk areas to monitoring critical infrastructure and logistics, the conversation unpacks how low-power, wide-area networks combined with AI and machine learning can locate assets even when GPS and GSM signals are jammed. You'll get a clear look at the technology behind Sigfox's “Bloodhound” system, how it uses signal triangulation and data analytics, and why this matters for businesses operating in complex, high-risk environments like South Africa. If you're interested in innovation, security, logistics, or the future of connected systems, this episode offers practical insight into how businesses can track smarter, reduce risk, and operate more efficiently.

Dr. Sheryl Kingsberg is the chief of the division of behavioral medicine at MacDonald Women's Hospital/University Hospitals Cleveland Medical Center and Professor in Reproductive Biology, Urology and Psychiatry at Case Western Reserve University. Her areas of clinical specialization include female sexual disorders, menopause, pregnancy and postpartum mood disorders, and psychological aspects of infertility. Dr. Kingsberg's primary research interests are in treatments for female sexual disorders, genitourinary syndrome of menopause (GSM) and reproductive mental health. She is an Associate Editor for Sexual Medicine Reviews and sits on the editorial boards of the journals Menopause and Climacteric.  She has over 100 peer-reviewed publications and numerous book chapters and has co-edited a multidisciplinary textbook on treating female sexual disorders. Dr. Kingsberg is a past president of The Menopause Society and The International Society for the Study of Women's Sexual Health. She currently serves as the Advocacy Committee Chair for The Menopause Society. And for full disclosure, Dr. Kingsberg was the principal investigator on the research for Milli, one of our sponsors.  If you want to catch up on other shows, just visit our website and please subscribe! We love our listeners and welcome your feedback, so if you love Our Better Half, please give us a 5-star rating and follow us on Facebook and Instagram. It really helps support our show! As always, thanks for listening!  

What's the real reason some sales managers keep struggling to build high-performing teams? In this eye-opening episode of the Millionaire Car Salesman Podcast, Sean V. Bradley and LA Williams III pull back the curtain on a costly mistake happening inside dealerships every single day! "Training is like bathing. If you don't do it every day, eventually you'll start to stink." - LA Williams III With sharp insight, real talk, and a few uncomfortable truths, they challenge the way sales managers think about leadership, performance, and accountability. This conversation digs into what may be quietly sabotaging your team's success and why ignoring it could be costing you more than you realize. "Even McDonald's has training. Do you understand me? Even McDonald's has training!" - Sean V. Bradley If you're a dealer, GSM, or sales leader serious about leveling up your people and your results, this is an episode you do not want to miss! Key Takeaways: ✅Training Necessity: Proper training is essential for sales managers to adequately prepare and support their teams, akin to how other professions require rigorous education and practice. ✅Technology in Training: Leveraging AI technology for training can profoundly affect the quality and effectiveness of sales team preparation. ✅Holistic Approach: Successful training involves a diverse curriculum, including product knowledge, sales techniques, KPI understanding, and time management. ✅Role-Playing and Repetition: Active training through role-play and real-world scenarios is crucial for developing genuine competency in sales positions. ✅Accountability and Consistency: Consistent training with accountability structures in place ensures continuous professional development and operational excellence in dealerships.   About Sean V. Bradley Sean V. Bradley is a renowned figure in the automotive training industry with nearly three decades of experience. He is the President of Dealer Synergy and a highly sought-after speaker in the field. Sean is known for his expertise in automotive sales training and digital marketing, having worked with various levels of the industry, from OEM to dealer groups and individual dealerships. He is the creator of the Millionaire Car Salesman podcast and the Bradley On Demand training platform!    About LA Williams LA Williams III is the Vice President of Dealer Synergy and co-creator of the Millionaire Car Salesman podcast. Known as "The Blind Master," LA is a unique figure in the training landscape, offering a strong background in sales training and an extensive history in the music industry, working with top artists like Beyoncé and NAS. He brings a creative and motivational angle to automotive training!   The Automotive Training Revolution: Unleashing Potential in Car Salesmanship Key Takeaways: Effective training is paramount to success; it requires repetition and the right resources. Role-playing, especially with AI, can significantly enhance training outcomes. Accountability and engagement from management are vital to ensure successful use of training programs.   The Importance of Training in the Automotive Industry In the fiercely competitive automotive industry, training is not a luxury but a fundamental necessity. Sean V. Bradley, in a passionate discussion with LA Williams, underscores the critical importance of comprehensive training for automotive professionals. "How dare you call yourself a manager when you don't properly prepare your team," he asserts, emphasizing the negligence of some managers towards training investment. The neglect of structured training programs is likened to an absurd hypothetical where surgeons bypass medical school. Bradley challenges the notion by equating a lack of training to sending someone without credentials to build a multimillion-dollar property. Even McDonald's, as he notes, has Hamburger University for proper employee training. It's evident that a successful car sales team hinges on effective and holistic preparation. Training should not merely cover sales techniques or product knowledge but should also encompass aspects like personal development, time management, and the use of technology. Harnessing AI in Automotive Sales Training As technology evolves, incorporating AI into training programs is a game-changer. Bradley introduces the AI role-playing tool developed by Dealer Synergy, which integrates years of accumulated company knowledge. This AI platform enables sales professionals to practice real-life scenarios, enhancing their ability to handle clients effectively. "Use AI like Tony Stark from Iron Man uses the suit," Bradley recommends, encouraging dealers to leverage AI for training and role-playing. This technology offers an unprecedented opportunity for repeated practice without the fatigue human trainers may experience. The AI assesses trainees through various metrics like tone, speed, and filler words, offering detailed feedback and opportunities for improvement. Beyond just role-playing real scenarios, AI ensures that learning is dynamic and tailored to each individual's progress, creating a more immersive and effective training experience. Accountability in Training Programs The success of any training program is hinged not only on the resources available but also on the accountability mechanisms in place. As LA Williams points out, the absence of accountability can render the most robust programs ineffective. "Training is disrespected not only in the dealership but in the entire industry," he notes, highlighting a systemic issue where the pursuit of excellence is often traded for complacency. Effective managers ensure that cameras are on during training sessions, facilitating active participation and making sure distractions are minimized. This mirrors real-life sales interactions where engagement and focus are critical. Bradley firmly believes that "winners love accountability," and this spans to every aspect of their work environment. Systems like the Watchdog Report in the Bradley On Demand platform track engagement and performance, providing a window into how training is progressing. This transparency ensures that managers can address any issues that arise, reinforcing the importance of constant learning and self-improvement in the salesforce. Creating a Culture of Continuous Learning In today's rapidly changing automotive landscape, embracing a culture of continuous learning is not just beneficial but crucial. Bradley advocates for the nurturing of an environment where sales professionals are encouraged to constantly evolve, stay informed, and upskill. This goes beyond just knowing the latest sales tactics or vehicle specs; it's about understanding the broader ecosystem of automotive sales, which includes digital marketing, personal branding, and leveraging new technologies like AI. In his own words, Bradley states, "Training doesn't happen by binge-watching videos." True learning involves immersive engagement, critical thinking, and practical application of skills. For dealerships, this means fostering an ethos of learning from the top down, reducing attrition, improving job satisfaction, and ultimately driving higher sales. Implementing such change requires buy-in from all levels of staff, ensuring that training programs are not seen as chores but as investments in individual and organizational growth. By prioritizing training and development, automotive businesses can remain competitive and innovate within their market spaces. In addressing the industry's complexities, it's evident that the automotive sales domain is ripe for a shift in how professionals are prepared and developed. Training, powered by modern technology and a robust accountability framework, stands as the foundation upon which future success will be built. Embracing this can herald a new era in car salesmanship, marked by efficiency, knowledge, and profitability.     Resources + Our Proud Sponsors:   ➼ The Millionaire Car Salesman Facebook Group: Join the #1 Automotive Sales Mastermind Facebook Group with over 29,000 automotive professionals worldwide. The Millionaire Car Salesman Facebook Group is the go-to community for car salespeople, BDC agents, sales managers, general managers, and dealer principals looking to increase performance, income, and leadership skills. Inside the group, members collaborate daily on automotive sales strategies, lead handling, phone scripts, closing techniques, CRM best practices, dealership leadership, and accountability systems. Learn directly from top automotive trainers, industry mentors, and high-performing sales leaders who are actively winning in today's market. If you're serious about growing your automotive career, increasing car sales, and building long-term success, join The Millionaire Car Salesman Facebook Group today! ➼ Dealer Synergy: Dealer Synergy is the automotive industry's #1 Sales Training, Consulting, and Accountability Firm, with over 20 years of proven dealership success nationwide. We specialize in helping car dealerships increase sales, improve processes, and build high-performing Sales, Internet, and BDC departments from the ground up. Our expertise includes automotive phone scripts, rebuttals, CRM action plans, lead handling strategies, BDC workflows, Internet sales processes, management training, and accountability systems. Dealer Synergy partners directly with dealership leadership to align people, process, and technology, ensuring consistent results and scalable growth. From independent dealers to large dealer groups and OEM partnerships, Dealer Synergy delivers measurable performance improvements, stronger teams, and sustainable profitability. ➼ Bradley On Demand: Bradley On Demand is the automotive industry's most advanced interactive training, tracking, testing, and certification platform for car dealerships — built to develop top-performing teams across Sales, Internet Sales, BDC, CRM, Phone Skills, Leadership, and Management. In addition to LIVE virtual automotive training classes and a library of 9,000+ on-demand dealership training modules, Bradley On Demand now includes AI Phone Roleplaying and Coaching to help salespeople and BDC agents practice real dealership conversations before they ever get on the phone with customers. This AI-powered roleplay technology strengthens phone scripts, objection handling, appointment setting, lead follow-up, and closing skills, while providing measurable coaching feedback for continuous improvement. Bradley On Demand empowers dealerships to train faster, coach smarter, improve call performance, increase closing ratios, and sell more cars more profitably — all through structured, trackable, modern automotive training.

The FTC just issued warning letters to 97 auto groups for deceptive pricing practices and this goes far beyond just large dealer groups. In this live 700 Credit Podcast session, we're breaking down what's really happening, where dealers are exposed, and why this matters right now. Joining the conversation: Adam Crowell, Esq. – A leading compliance expert in automotive retail, specializing in regulatory risk and dealership audits. Adam helps dealers identify and correct issues before regulators or attorneys do. Ken Hill – Automotive credit and data strategist with deep expertise in credit reporting, identity verification, and deal structuring. Ken works closely with dealers to ensure their credit processes align with today's compliance environment. In this quick, no-fluff conversation, we'll cover: What triggered the FTC sweep The most common pricing mistakes dealers are making today How these issues show up in real deals and credit processes Where compliance and deal structure intersect What dealers should be paying attention to immediately This session is designed to give you a preview of what's coming in our upcoming webinar. If you're a GM, GSM, F&I leader, or marketing manager, this is something you can't afford to ignore. Register for the full webinar here: https://event.on24.com/wcc/mr/6682897/67CAF946FD465FEA8651EC16A003E6E4?partnerref=podcast

Have you ever wondered how LED face masks actually work to rejuvenate your skin? Liz shares her thoughts on light therapy and explains how to match your colour to your skin concern.Plus: why smear tests can be more painful after menopause, the difference between sachet and pill vitamins and how Liz organises her wellbeing routine.In this episode:• Why smear tests can be more painful after menopause (and what can help)• Are sachet vitamins better than pill form?• Can HRT help with back pain in later life?• What do the different colours on an LED face mask do?• Liz's top tips for organising your wellbeing routine Links mentioned in the episode:• Genitourinary syndrome of menopause (GSM) – see Vaginal oestrogen could save your life• Tongue scraper• Electrolytes• Mouth tape• Sleep Cycle• MyFitnessPal• MyCircadian• Balance menopause app• STRETCHIT• NHS Couch to 5k• SISTERLY• Milk thistle• HRT• Article about supplements for midlife bone health• Guide to buying an LED face mask Get in touch with a question for Liz:• Email: podcast@lizearlewellbeing.com• WhatsApp: 07518 471 846More from Liz:• Preorder Liz's new book – How to Age• A Better Second Half• Follow Liz on Instagram• Follow Liz Earle Wellbeing on Instagram Some links may be affiliate links, which help support the show at no extra cost to you. Read our Affiliate Policy for more information. Hosted on Acast. See acast.com/privacy for more information.

Comprehensive sexual health care requires time and a team approach. I'm joined by two of my team members Karen Badley, my nurse practitioner, and Grace Prete, our pelvic floor physical therapist.We talk about why complex conditions like pelvic pain, painful sex, and hormonal changes don't fit into 10-minute appointments. You can't address someone's full picture when insurance only reimburses for quick visits. We discuss why multidisciplinary care matters, why pelvic floor therapy sessions need real time, and why treating hormonal health alongside aesthetics makes a difference.This conversation is about what patients deserve and why the traditional insurance model makes that impossible. We talk about treating the whole person, not just symptoms. Last year, I transitioned to a concierge model after over a decade of taking insurance because this is how medicine should be practiced.HighlightsGenitourinary syndrome of lactation is similar to GSM in menopause.Upper cross syndrome from breastfeeding and tech neck causes cervical spine issues.Visible light from phones and screens worsens hyperpigmentation (tinted mineral sunscreen helps).Tight pelvic floor muscles are actually the weakest, not the strongest.Insurance bundles entire pregnancy into one fee with no separate postpartum reimbursement.Patients can see multiple providers on the same day for coordinated care.f you're struggling with sexual health issues, pelvic pain, or hormonal changes and feel like your appointments are too rushed, consider seeking comprehensive care. Check out our practice at https://www.thegsmcollective.com/ to learn more about our concierge model. Subscribe to the podcast so you don't miss upcoming episodes.Connect with Dr. Rahman:Website - https://www.thegsmcollective.com/about-usInstagram - https://www.instagram.com/gynogirl/Youtube - https://www.youtube.com/@UCmFnlujKDsDE3uIUMrbcByQSubstack - https://gynogirl.substack.com/p/welcome-to-vagilante-nation?just_subscribed=true

Dan and Darryl. Darryl Miller is back on California Wine Country with Dan Berger and Daedalus Howell, with wines from two Sonoma County wineries, Dehlinger Winery in the west county and Peterson Winery in Dry Creek Valley. He has been on CWC a few times, the most recent is this episode on July 18, 2025. Darryl Miller is retired from the wholesale wine business. He works with the Dehlinger winery, assisting and advising them with their sales and marketing. He even used to live on that property in the 1980s. Darryl also works as an advisor to the Peterson family in Dry Creek Valley. Dan Berger and Darryl Miller met when they were judges at a wine competition about 40 years ago. They found that they appreciated the same qualities of structure and balance in wine. For Dan, there is no such thing as a great wine that does not show good balance. There are unbalanced 100 point wines that are by definition, not great. The Goldilocks Dilemma Darryl agrees. They are either too heavy or light. They are not made well. Darryl describes the Peterson's method as zero manipulation. They grow the right fruit the right way and then they don't have to intervene. The wine being tasted is a 2024 “3V” made of three Italian white grapes whose names begin with V. Vernaccia 37%, with a kind of chalkiness to it. Darryl says it's like Chablis. They also blend in some Vermentino which has some pineapple tropical fruit flavors. Then some Verdello, which has grapefruit rind flavors, similar to a Sauvignon Blanc. CWC is brought to you by Deodora Estate Vineyards. Visit Deodora to discover 72 acres in the Petaluma Gap that are producing exceptional Chardonnay, Pinot Noir and Riesling. Sip the difference!  They make the three wines separately and then blend them. There is also a red blend, of Grenache, Syrah and Mourvedre. They call it GSM or GMS, in order of appearance. Blends Are Back Blends are becoming popular again. This is because winemakers find that if they have Grenache and some other varieties, they can end up with a better wine by blending them. That is better than making single varietals  which by themselves may not be as good as the blend. Dan objects to blends that don't tell you what is in the bottle. We want to know what is in it. It is not illegal to do, but does not help. The Peterson wines are very careful about telling the percentages in blends.

Let's talk menopause and perimenopause- and the things no one warned us about. Tiera does a beautiful job of unpacking the physical and emotional shifts women experience, how it can impact sex, and what's actually helpful in this season. We want to help you feel equipped and encouraged as you enter this time of life! Watch the episode on YouTube!! Our Episodes: Mindfulness with Dr. Lori Brotto Resources: Evree Lube: Use the code KINGDOM for 10% off! Coconu Lube: Use the code KINGDOM for 15% off Yes! Vaginal Moisturizer : Use the code KINGDOMSEXUALITY for 15% off Better Sex Through Mindfulness book Sex Toys: Married Dance: Use the code KINGDOMSEXUALITY for 10% off Tiera's Fertility/Menopause Doula Info: Use discount code: KSFOLLOWER for $50 off any package ⁠⁠Join Unite & Ignite ⁠⁠ Want more from Kingdom Sexuality? Come hang out! ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook Group⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Approximate Time Stamps: Introduction and Overview - 0:00 Discussing Menopause - 0:30 Understanding Menopause Terms - 2:06 Perimenopause Symptoms - 4:19 Hormonal Changes and Effects - 6:13 Blood Work and Diagnosis - 11:00 Common Symptoms and Treatments - 14:20 Vaginal Changes and GSM - 17:09 Libido and Hormone Therapy - 23:15 Testosterone Therapy Discussion - 27:34 Positive Outlook on Perimenopause - 35:04 Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of You Are Not Broken, I sit down with urologist Dr. Una Lee to talk about what women actually need in midlife care — and why the system still makes it so hard to get. We dive into the importance of patient-centered research — studying what truly matters to women: quality of life, sexual health, urinary symptoms, and comfort. If we don't measure those things, we miss the point. We also discuss the removal of the boxed warning language on vaginal estrogen and how correcting misinformation has already improved prescribing and access. Fear limited care for years. Data changes that. We cover: Why education on vaginal estrogen and GSM is essential The research gap in testosterone therapy for women The importance of pelvic floor physical therapy as first-line care Informed consent and nuance in surgical conversations Ongoing barriers to hormonal access The big theme? Women are living longer — and our healthcare system needs to evolve with them. Listen to my Tedx Talk: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Why we need adult sex ed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Take my ⁠⁠⁠⁠Adult Sex Ed Master Class:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in my sexual health and hormone clinic? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Waitlist is open⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Thanks to our sponsor ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Midi Women's Health⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Designed by midlife experts, delivered by experienced clinicians, covered by insurance.Midi is the first virtual care clinic made exclusively for women 40+. Evidence-based treatments. Personalized midlife care.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.joinmidi.com⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Bret Tollgaard from Sunrez joins to discuss UV-curing prepreg that cuts blade repair time by up to 90% and has recently received OEM approval. Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTube, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us! Allen Hall: Brett, welcome back to the program.  Bret Tollgaard: Thanks for having me again.  Allen Hall: So a lot’s happening at sunrise at the moment. Uh, there’s, uh, activity with sunrise materials on a lot of blades this year. Over the last couple of years actually, ISPs, operators, OEMs, are realizing that UV curing is a huge advantage.  Bret Tollgaard: Turns out there’s a lot of value added, uh, to the entire process when utilizing UV cure, uh, pre-req.  Allen Hall: So the, the pre pres are, have been available for a couple of years. The qualification though was always the concern. Has the OEM qualified this material? Are they gonna give you the blessing? Does this show up in the manual? If I call the OEM, are they gonna say they have talked to you guys? A lot of those hurdles have been cleared at this point.  Bret Tollgaard: Yeah, great question. And we are happy to announce that we have finally been approved by a large OEM for use on the epoxy blade for now all general kind of repairs. We have several more OEMs that have already passed their phase one mechanical testing, and we’re iterating through now [00:01:00] their, uh, secondary and tertiary kind of tests. And so we do expect to be fully qualified by several OEMs before the end of the year, which should make the ISPs integration and utilization of our materials much, much easier. Allen Hall: So the, the, the problem you’re solving is repairs in the field for the most part, or sometimes in the factory. Mm-hmm. But a lot of times in the field that those repairs. It happened quite a bit. They’re the same repair, the same area, the same kind of thing over and over and over again. And wetting out fabric on site takes time. Particularly if you’re using standard materials, you have to bag it. You have to apply heat in some cases to get it to kick, and then you have to wait several hours for it to cure. So in the repair cycle time, most of your time is waiting.  Bret Tollgaard: It sure is. Uh, and on top of all that, we all know that there aren’t enough technicians in this industry to even do all the repairs, uh, that would like to be done. Yeah. And so to really kind of streamline all of that, [00:02:00] uh, we’ve rolled out a couple of new things and we’ve had a lot more interest in some pre consolidated preki patches for customers. Uh, if a particular blade model has an issue that is a standardized kind of repair. We’re actually now building custom prepregs, or we will build the appropriate width length, stack it, consolidate it, uh, wrap it between our films. So then all the customer has to do when they get on site is, uh, you know, do do the appropriate surface prep. Scarfing, apply a little bit of our UV surface primer to the backside of that patch. But now they can go up tower, single peel, stick, roll out, and then they’re cured.  Allen Hall: And that’s a. How many hours of saving is that? It’s gotta be like six, 12 hours of saving, of, of  Bret Tollgaard: labor. It’s upwards of 80 to 90% of the labor that’s gonna actually need to be done to apply that. Otherwise, and then same thing too. We’ve had a couple instances where we took a several day repair down to one, to two to three hours. And these are multi-meter long repairs that were fast tracked because we pre consolidated preki [00:03:00] everything. Some were in flat sheet forms, some were much longer on rolls, where you’re actually then rolling out with a team. Um, and so we’ve been able to demonstrate several times, uh, over the last 12 months, uh, the, the value that a UV cure preprint.  Allen Hall: Well, sure, because that, that would make sense. The issue about wetting out fabric in the field you just done in the back of a trailer or something, somewhere like that. Usually it is, it’s that you’re never really sure that you got the fabric wetted out. The experienced technicians always feel like, have done it enough that they get very consistent results. But as you mentioned, getting technicians is hard and, and there’s so many repairs to do. So you’re doing those wetting out composite things takes practice and skill. Just buying it, preki it, where you have control over it. And you guys sell to the military all the time. So that, and you’re, are you ass 91 qualified yet? You’re in the midst of that?  Bret Tollgaard: So we, I mean, a, we just got ISO certified, uh, at the end of last year in December. So our [00:04:00] QMS system and everything like that’s up to date, that’s huge. Another big qualification for the OEMs that want to see, you know, true quality and output.  Allen Hall: That’s it. I, if I’m gonna buy a preki patch, so, uh, uh, that would make sense to me, knowing that. There’s a lot of rigor as a quality system. So when I get out the the site and I open that package, I know what’s inside of it every single time. Bret Tollgaard: Well, and that’s just it. And like we got qualified based on the materials that we can provide and the testing that’s being done in real world situations when you’re wetting out by hand and you’re vacuum backing and you’re trying to cure. It is a little bit of an art form when you’re doing that. It is, and you might think you have a great laminate, you got void content, or you haven’t properly went out that glass ’cause humidity or the way the glass was stored or it was exposed. The sizing and the resin don’t really bite. Well. You might think you have a great repair, but you might be prematurely failing as well after X cycles and fatigue. Uh, simply because it’s not as easy to, to truly do. Right? And so having the [00:05:00] pre-wet, uh, pre impregnated glass really goes a long way for the quality, uh, and the consistency from repair to repair. Allen Hall: Well, even just the length of the season to do repairs is a huge issue. I, I know I’ve had some discussions this week about opening the season up a little bit, and some of the ISPs have said, Hey, we we’re pretty much working year round at this point. We’re, we’ll go to California. We’ll go to Southern Texas. We’ll work those situations. ’cause the weather’s decent, but with the sunrise material, the temperature doesn’t matter.  Bret Tollgaard: Correct. And I was actually just speaking to someone maybe half hour ago who came by and was talking about repairs that they had to do in Vermont, uh, in December. They could only do two layers of an epoxy repair at a time because of the amount of the temperature. Allen Hall: Yeah.  Bret Tollgaard: Whereas you could go through, apply a six or an eight layer pre-reg cure it in 20 minutes. Uh, you know, throughout that entire length that he had and you would’ve been done. That’s, and so it took several days to do a single repair that could have been done in sub one hour with our material.  Allen Hall: I know where those wind turbines are. [00:06:00] They weren’t very far from, we used to live, so I understand that temperature, once you hit about November up in Vermont, it’s over for a lot of, uh, standard epoxy materials and cures, it is just not warm enough.  Bret Tollgaard: Yeah, we, we’ve literally had repairs done with our materials at negative 20 Fahrenheit. That were supposed to be temporary repairs. They were installed four or five years ago. Uh, and they’re still active, perfectly done patches that haven’t needed to be replaced yet. So,  Allen Hall: so, because the magic ingredient is you’re adding UV to a, a chemistry where the UV kicks it off. Correct. Basically, so you’re, it’s not activated until it’s hit with uv. You hit it with uv that starts a chemical process, but it doesn’t rely on external heat. To cure  Bret Tollgaard: exactly. It, it is a true single component system, whether it’s in the liquid pre preg, the thickened, uh, the thickened putties that we sell, or even the hand lamination and effusion resin. It’s doped with a, a variety of different food initiators and packages based on the type of light that’s [00:07:00] being, uh, used to, to cure it. But it will truly stay dormant until it’s exposed to UV light. And so we’ve been able to formulate systems over the last 40 years of our company’s history that provide an incredibly long shelf life. Don’t prematurely gel, don’t prematurely, uh, you know, erode in the packaging, all those  Allen Hall: things.  Bret Tollgaard: Exactly. Like we’ve been at this for a really long time. We’ve been able to do literally decades of r and d to develop out systems. Uh, and that’s why we’ve been able to come to this market with some materials that truly just haven’t been able to be seen, uh, delivered and installed and cured the way that we can do it. Allen Hall: Well, I think that’s a huge thing, the, the shelf life.  Bret Tollgaard: Mm-hmm.  Allen Hall: You talk to a lot of. Operators, ISPs that buy materials that do have an expiration date or they gotta keep in a freezer and all those little handling things.  Bret Tollgaard: Yep.  Allen Hall: Sunrise gets rid of all of that. And because how many times have you heard of an is SP saying, oh, we had a throwaway material at the end of the season because it expired. Bret Tollgaard: Oh, tremendously  Allen Hall: amount of, hundred of thousands of dollars of material, [00:08:00] Bret Tollgaard: and I would probably even argue, say, millions of dollars over the course of the year gets, gets thrown out simply because of the expiration date. Um, we are so confident in our materials. Uh, and the distributors and stuff that we use, we can also recertify material now, most of the time it’s gonna get consumed within 12 months Sure. Going into this kind of industry.  Allen Hall: Yeah.  Bret Tollgaard: Um, but there have been several times where we’ve actually had some of that material sent back to us. We’ll test and analyze it, make sure it’s curing the way it is, give it another six months shelf, uh, service life.  Allen Hall: Sure.  Bret Tollgaard: Um, and so you’re good to go on that front  Allen Hall: too. Yeah. So if you make the spend to, to move to sun, you have time to use it.  Bret Tollgaard: Yes.  Allen Hall: So if it snows early or whatever’s going on at that site where you can’t get access anymore, you just wait till the spring comes and you’re still good with the same material. You don’t have to re-buy it.  Bret Tollgaard: Exactly. And with no special storage requirements, like you mentioned, no frozen oven or frozen freezer, excuse me, uh, or certain temperature windows that has to be stored in, uh, it allows the operators and the technicians, you know, a lot more latitude of how things actually get  Allen Hall: done. And, and so if. When we [00:09:00] think about UV materials, the, the questions always pop up, like, how thick of a laminate can you do and still illuminate with the UV light? And make sure you curate I I, because you’re showing some samples here. These are,  Bret Tollgaard: yeah.  Allen Hall: Quarter inch or more,  Bret Tollgaard: correct. So  Allen Hall: thick samples. How did you cure these? Bret Tollgaard: So that was cured with the lamp that we’ve got right here, which are standard issued light, sold a couple hundred into this space already. Um, that’s 10 layers of a thousand GSM unidirectional fiber. Whoa. This other one is, uh, 10 layers of, of a biox. 800 fiber.  Allen Hall: Okay.  Bret Tollgaard: Uh, those were cured in six minutes. So you can Six  Allen Hall: minutes. Bret Tollgaard: Six minutes.  Allen Hall: What would it take to do this in a standard epoxy form?  Bret Tollgaard: Oh, hours,  Allen Hall: eight hours maybe?  Bret Tollgaard: Yeah. About for, for the, for the post cure required to get the TGS that they need in the wind space, right? Absolutely. And so yeah, we can do that in true minutes. And it’s pre impregnated. You simply cut it to shape and you’re ready to rock. Allen Hall: And it looks great when you’re done, mean the, the surface finish is really good. I know sometimes with the epoxies, particularly if they get ’em wetted out, it doesn’t. It [00:10:00] doesn’t have that kind of like finished look to it.  Bret Tollgaard: Exactly. And the way that we provide, uh, for our standard, uh, you know, pre pprs are in between films and so if you cure with that film, you get a nice, clean, glossy surface tack free. But as more and more people go to the pre consolidation method down tower, so even if they buy our standard prereg sheets or rolls, they’re preki down tower, you can also then just apply a pre, uh, a peel ply to that top film. Oh, sure. So if you wet out a peel ply and then you build your laminate over the top. Put the primer and the black film over when they actually get that up on tower, they can then just remove that fuel ply and go straight to Sandy or uh, uh, painting and they’re ready to rock.  Allen Hall: Wow. Okay. That’s, that’s impressive. If you think about the thousands and thousands of hours you’ll save in a season. Where you could be fixing another blade, but you’re just waiting for the res, the cure,  Bret Tollgaard: and that’s just it. When you’re saving the amount of labor and the amount of time, and it’s not just one technician, it’s their entire team that is saving that time. Sure. And can move on to the next [00:11:00] repair and the next process. Allen Hall: So one of the questions I get asked all the time, like, okay, great, this UV material sounds like space, age stuff. It must cost a fortune. And the answer is no. It doesn’t cost a fortune. It’s very price competitive.  Bret Tollgaard: It, it really is. And it might be slightly more expensive cost per square foot versus you doing it with glass and resin, but you’re paying for that labor to wait for that thing to cure. And so you’re still saving 20, 30, 40 plus percent per repair. When you can do it as quickly as we can do it.  Allen Hall: So for ISPs that are out doing blade repairs, you’re actually making more money.  Bret Tollgaard: You are making more money, you are saving more money. That same group and band of technicians you have are doing more repairs in a faster amount of time. So as you are charging per repair, per blade, per turbine, whatever that might be, uh, you’re walking away with more money and you can still pass that on to the owner operators, uh, by getting their turbines up and spinning and making them more money.  Allen Hall: Right. And that’s what happens now. You see in today’s world, companies ISPs that are proposing [00:12:00] using UV materials versus standard resin systems, the standard residence systems are losing because how much extra time they’re, they’re paying for the technicians to be on site. Bret Tollgaard: Correct.  Allen Hall: So the, the industry has to move if you wanna be. Competitive at all. As an ISP, you’re gonna have to move to UV materials. You better be calling suns  Bret Tollgaard: very quickly. Well, especially as this last winter has come through, the windows that you have before, bad weather comes in on any given day, ebbs and flows and changes. But when you can get up, finish a repair, get it spinning, you might finish that work 2, 3, 4 later, uh, days later. But that turbine’s now been spinning for several days, generating money. Uh, and then you can come back up and paint and do whatever kind of cosmetic work over the top of that patch is required. Allen Hall: So what are the extra tools I need to use Sunz in the kits. Do I need a light?  Bret Tollgaard: Not a whole lot. You’re gonna need yourself a light. Okay. You’re gonna need yourself a standard three to six inch, uh, bubble buster roller to actually compact and consolidate. Sure. Uh, that’s really all you need. There’s no vacuum lights. And you sell the lights. We do, we, [00:13:00] we sell the lights. Um, our distributors also sell the lights, fiberglass and comp one. Uh, so they’re sourced and available, uh, okay. Domestically, but we sell worldwide too. And so, uh, we can handle you wherever you are in the world that you wanna start using uv, uh, materials. And yeah, we have some standardized, uh, glass, but at the same time, we can pre-reg up to a 50 inch wide roll. Okay, so then it really becomes the limiting factor of how wide, how heavy, uh, of a lamette does a, a technician in the field want to handle?  Allen Hall: Yeah, sure. Okay. In terms of safety, with UV light, you’re gonna be wearing UV glasses,  Bret Tollgaard: some standard safety glasses that are tinted for UV protection. So they’ll  Allen Hall: look yellow,  Bret Tollgaard: they’ll look a little yellow. They’ve got the shaded gray ones. Sunglasses, honestly do the same.  Allen Hall: Yeah.  Bret Tollgaard: But with a traditional PPE, the technicians would be wearing a tower anyways. Safety glasses, a pair of gloves. You’re good to go. If you’re doing confined space, work on the inside of a, a, a blade, uh, the biggest value now to this generation of material that are getting qualified. No VOC non [00:14:00] flammable, uh, no haps. And so it’s a much safer material to actually use in those confined spaces as well as  Allen Hall: well ship  Bret Tollgaard: as well as ship it ships unregulated and so you can ship it. Next day air, which a lot of these customers always end. They do. I know that.  Allen Hall: Yeah.  Bret Tollgaard: Um, so next day air, uh, you know, there’s no extra hazmat or dangerous goods shipping for there. Uh, and same thing with storage conditions. You don’t need a, a flammable cabinet to actually store the material in.  Allen Hall: Yeah.  Bret Tollgaard: Um, so it really opens you up for a lot more opportunities.  Allen Hall: I just solves all kinds of problems.  Bret Tollgaard: It, it really does. And that’s the big value that, you know, the UV materials can provide. Allen Hall: So. I see the putty material and it comes in these little tubes, squeeze tubes. What are these putties used for?  Bret Tollgaard: So right now, the, the existing putty is really just the same exact thickened, uh, resin that’s in the pre-print.  Allen Hall: Okay.  Bret Tollgaard: And it’s worked well. It’s, it’s nice we’re kind of filling some cracks and some faring, some edges and stuff if things need to be feathered in. But we’ve [00:15:00] been working on this year that we’ll be rolling out very, very soon is a new structural putty. Okay. So we’ll actually have milled fibers in there and components that will make it a much more robust system. And so we’ve been getting more inquiries of, particularly for leading edge rehabilitation. Where Cat three, cat four, even cat five kind of damage, you need to start filling and profiling before any kind of over laminates can really be done properly. And so we’re working on, uh, rolling that out here very, very soon. Um, and so that will, I think, solve a couple of needs, um, for the wind market. Uh, and then in addition to some new products that we’re rolling out, uh, is gonna be the LEP system that we’re been working on. Uh, the rain erosion testing showed some pretty good results. But we’re buying some new equipment to make a truly void free, air free system that we’re gonna it, uh, probably submit end of April, beginning of May for the next round, that we expect to have some very, very good, uh, duration and weather ability with,  Allen Hall: because it’s all about speed,  Bret Tollgaard: it’s durability. Allen Hall: All about e  Bret Tollgaard: Exactly. And ease of use by someone in the [00:16:00] field. Yeah. Or OEMs on, you know, in the manufacturing plant. Um, there has yet, in my opinion, to be a true winner in the LEP space. That is just the right answer. And so by applying our materials with the really high abrasion resistance that we expect this to have and be as simple to do as it really appeal, stick and cure, um, we think it’s gonna be a bit of a game changer in this industry. Allen Hall: Well, all the sunrise materials, once they’re cured, are sandal  Bret Tollgaard: correct.  Allen Hall: And I think that’s one of the things about some of the other systems, I always worry about them like, alright, they can do the work today, but tomorrow I have to come back and touch it again. Do I have a problem? Well, and the sun rests stuff is at least my playing around with it has been really easy to use. It’s, it’s. Uh, things that I had seen maybe 20 years ago in the aerospace market that have they thought about using the material not only [00:17:00] in the factory, but outside the factory. How easy is it to adapt to, how easy to, to paint, to all those little nuances that come up? When you’re out working in the field and trying to do some very difficult work, uh, the sunroom material is ready to go, easy to use and checks all the boxes, all those little nuances, like it’s cold outside, it’s wet outside. Uh, it’s, it’s hot outside, right? It’s all those things that, that stop ISPs or OEMs from being super efficient. All those parameters start to get washed away. That’s the game changer and the price point is right. How do. People get a hold of you and learn about the sun rose material. Maybe they, you can buy through fiberglass or through composite one. Mm-hmm. That’s an easy way to do, just get to play with some samples. But when they want to get into some quantity work, they got a lot of blade repair. They know what they’re doing this summer or out in the fall or this winter come wintertime. How do they get [00:18:00] started? What do they do?  Bret Tollgaard: Well, one of the first things to do is they can reach us through our website. Um, we’re developing a larger and larger library now for how to videos and install procedures, um, generating SOPs that are, you know, semi, uh, industry specific. But at the same time too, it’s a relatively blanket peel and stick patch, whether it’s a wind turbine blade, a corroded tank, or a pressure pipe. Um, and so yeah, www.suns.com Okay, is gonna be a great way to do it. Uh, we’re actively building more videos to put on, uh, our YouTube channel as well. Um, and so that’s kind of gonna be the best way to reach out, uh, for us. One of the big things that we’re also pushing for, for 26 is to truly get people, uh, in this, in industry, specifically trained and comfortable using the products. At the end of the day, it’s a composite, it’s a pre impregnated sheet. It’s not difficult, but there are some tips and tricks that really make the, the use case. Uh, the install process a lot easier.  Allen Hall: Sure.  Bret Tollgaard: Uh, and so just making sure that people are, are caught up on the latest and greatest on the training techniques will [00:19:00] go a long way too. Allen Hall: Yeah. It’s only as good as the technician that applies it  Bret Tollgaard: e Exactly.  Allen Hall: Yeah. That’s great. Uh, it’s great all the things you guys are doing, you’re really changing the industry. In a positive way, making repairs faster, uh, more efficient, getting those turbines running. It’s always sad when you see turbines down with something that I know you guys could fix with sun. Uh, but it does happen, so I, I need the ISPs to reach out and start calling Sun and getting in place because the OEMs are blessing your material. ISPs that are using it are winning contracts. It’s time to make the phone call to Sun Rez. Go to the website, check out all the details there. If you wanna play with your material, get ahold of fiberglass or composite one just. Order it overnight. It’ll come overnight and you can play with it. And, and once you, once you realize what that material is, you’ll want to call Brett and get started.  Bret Tollgaard: A hundred percent appreciate the time.  Allen Hall: Yeah. Thanks Brett, for being on the podcast. I, I love talking to you guys because you have such cool material. Bret Tollgaard: Yeah, no, we’re looking, uh, forward to continuing to innovate, uh, really make this, uh, material [00:20:00] splash in this industry.

Managers… this one is for you. I sat down with Jimmy Vargas, GSM at Paradise Chevrolet and this isn't just a conversation… this is someone I'm actively in the trenches with right now. I'm working directly with Jimmy and his sales team on their phone process, listening to calls together, coaching in real time, and using the tools inside CallRevu to actually develop his people. And that's the difference. He's not just pulling reports. He's not just tracking calls. He's investing in his team. Jimmy is setting the bar, giving his team a modern, relevant process to win on the phones, and then backing it up with real accountability using the data. One of the most powerful things he's doing right now? He's using CallRevu's keyword alert feature to instantly flag calls when something doesn't go the way the customer expected. So instead of finding out a day later… or never… He and his managers are notified immediately. That means they can jump in, coach the situation, follow up fast and in many cases, save the deal. We're reviewing recorded calls. We're tightening conversations. We're making sure nothing slips through the cracks. Because when you actually listen… you find everything. This episode breaks down his blueprint. It's simple, doable, and built for real dealership life. If you want more appointments, stronger performance, and a real return on the calls you're already paying for… This is where it starts. Dealer Talk with Jen Suzuki Podcast |

Discover how UK SMEs can choose the right kraft paper rolls for their packaging needs. From understanding GSM and widths to eco-friendly certifications and cost considerations, this episode breaks down everything small businesses need to know about this versatile, sustainable material. More at https://www.globepackaging.co.uk/papers-envelopes/Kraft-paper.html Globe Packaging City: Hayes Address: Unit 5, Caxton Trading Estate Website: https://www.globepackaging.co.uk/

Graham "GSM" Matthews is at it alone this week on WrestleRant Radio but has a ton to say about Cody Rhodes regaining the Undisputed WWE Championship, what it means for his WrestleMania match with Randy Orton and why a Fatal 4-Way would have made more sense, the potential backlash of fans turning on Rhodes quicker (a la John Cena) and who should ultimately emerge with the title, thoughts on the rumor of Brock Lesnar not losing until his retirement match, Road Dogg departing WWE and other changes that need to happen on the company's creative team, and top takeaway's from Monday's Raw. Plus, GSM gives his complete preview and predictions for AEW Revolution this Saturday, featuring a stacked card and a Texas Death match in the main event with massive stakes!

Join Living the Dream Outdoors Podcast host Bill Cooper for a dynamic good time about hunting wild turkeys. In the first segment he interviews GSM pros Sheldon Lovelace and Paul Butski, one of turkey hunting's greatest legends. In the second segment, Kenny Zuspan, of 1st Class Whitetails of Ohio, reviews his World Turkey Tag Competition. It's a show you will not want to miss.  

Our guest this time, Jane Epstein, is a nurse practitioner and a Menopause Society certified provider. She's also an AASECT Certified Sex Counselor. She lives and practices in Albuquerque, New Mexico. Jane graduated as a nurse practitioner from the Yale University School of Nursing in 1989, followed by a one-year training in Adolescent Medicine at Yale Medical School. She practiced adolescent medicine for over 25 years before transitioning to adult women's health and sexuality counseling. Jane first gravitated toward the topic of sexual health while working with adolescents. In the life of an adolescent, developing into a sexual being seemed to be the biggest thing happening– and the one that adults wanted to address with adolescents the least. In 2016, she gave a popular TEDx talk entitled, "Why We Need to Talk to Girls About Sex", which addressed female sexual pleasure, including masturbation, for young women. It's a great talk! Since many sexually active young women know so little about sexual pleasure, Jane wondered when and where adult women learn about sexual pleasure. Her independent research, including interviews with menopausal women across the country, revealed that many women did not learn to orgasm until taught by their (usually) male partners. And many never learned how to prioritize their own sexual pleasure during partnered relationships. Subsequently, Jane became a Menopause Society Certified Provider and an ASSECT-certified Sex Counselor. She sees patients in Albuquerque, New Mexico for perimenopause and menopause care, as well as sexuality counseling. Her goal is to help women enjoy pain-free and pleasurable sex, as well as to optimize health through the midlife years and beyond. Jane spoke to our co-hosts Dr. Sabitha Pillai-Friedman and Dr. Jane Fleishman about the effects of genitourinary symptoms of menopause (GSM), the benefits of topical estrogen at different ages, the current research on hormonal therapies for younger women, older women, and transmen who have a vagina. She gives practical tips and breaks down the research in a language that makes lots of sense. If you'd like to check out the article she cited in the show, click here. If you want to catch up on other shows, just visit our website and please subscribe! We love our listeners and welcome your feedback, so if you love Our Better Half, please give us a 5-star rating and follow us on Facebook and Instagram. It really helps support our show! As always, thanks for listening!  

On this week's WrestleRant Radio, Graham "GSM" Matthews and RJ Marceau discuss David Finlay's decision to sign with AEW and why it was smarter than going to NXT, who from NXT should be called up to WWE's main roster on the sooner side, and Demolition finally being announced for the WWE Hall of Fame. Plus, they give their FULL REVIEW of the Elimination Chamber premium live event featuring two number one contender's Elimination Chamber matches, why Rhea Ripley's latest push to the title isn't unwarranted, AJ Lee winning the Women's Intercontinental Championship and what happens next, CM Punk's amazing Bulls-inspired entrance, the polarizing reaction Danhausen's debut and how he'll do in WWE, and why a Fatal 4-Way for the Undisputed WWE Championship is the only direction that makes sense for WrestleMania 42. Stick around for GSM and RJ fantasy booking the ENTIRE WrestleMania 42 card! Who will ultimately make the cut?

Vinene i afsnittet er skænket af Jysk Vin https://www.jyskvin.dk/     Smagekasse med de tre vine vi smager her https://www.jyskvin.dk/grenache-tema-vin-for-begyndere-0-6955193       Flere smagekasser her fra andre afsnit med Jysk Vin her https://www.jyskvin.dk/podcast   ………………     Hvad er garnacha/grenache, hvordan smager druen og hvordan udtrykker den sig forskellige steder i verden?   Tag med på en smage-rundtur, hvor vi går i dybden med druen, dens historie og den egenskaber på smag, lugt og struktur.   Er grenache den druesort i verden, som spænder videst, når det kommer til alkoholprocenter og rent stilistisk?   Hvorfor er den blevet en del af GSM-blends i Rhône-området, hvor kommer druen fra og hvilke omgivelser vil den helst vokse i?   Hvilken smagsmæssig gennemgang har druen gennemgået, hvad er dens historie og kan vi stadig kalde grenche for "The pinot noir of the south"?       Vi smager på     1) EL SURCO 2023, A PIE DE TIERRS, MENTRIDA, SPANIENhttps://www.jyskvin.dk/el-surco-2023-3186636     2) MINISTRY OF CLOUDS, GRENACHE, 2023, MCLAREN VALE, AUSTRALIENhttps://www.jyskvin.dk/ministry-of-clouds-grenache-2023-6063436     3) CHÂTEAUNEUF-DU-PAPE, 2020, CLOT ST: ANTONIN, CHÂTEAUNEUF-DU-PAPE, RHÔNE, FRANKRIGhttps://www.jyskvin.dk/chateauneuf-du-pape-clos-st-antonin-2020-1502436   ..................... Køb vores nyeste bog "Bobler for begyndere og øvede" her: https://www.saxo.com/dk/bobler-for-begyndere_bog_9788773396568 Eller vores bog om vin her: https://www.saxo.com/dk/vin-for-begyndere_bog_9788773391303 Støt Vin for begyndere podcast her https://vinforbegyndere.10er.app/ Besøg os på Facebook og Instagram, hvor man kan se billeder af vinene og få tips til vin og mad sammensætning. https://www.facebook.com/vinforbegyndere https://www.instagram.com/vinforbegyndere Web: https://www.radioteket.dk/ Kontakt: radioteket@radioteket.dk Musik: Jonas Landin Lyt vores bog som lydbog her: Køb den her https://www.saxo.com/dk/vin-for-begyndere-og-oevede_lydbog_9788773397374       I afsnittet har vi lånet et lille klip fra filmen Spinal Tap.

Great ideas don't fail in dealerships because they're bad. They fail because no one installs the behavior fast enough. In this episode of Dealer Talk with Jen Suzuki, Jen breaks down a simple, high-energy methodology to help leaders stop "motivating" and start installing execution inside their stores. Most dealerships don't have a training problem — they have an execution problem. Processes get rolled out. Energy fades. Thirty days later, nothing sticks. Jen shares her proven meeting framework — used at NADA Academy and in high-performing stores — to compress action, build accountability, and make learning fun and sustainable. You'll learn how to: • Pick one behavior and install it fast • Teach a technique in under 20 seconds • Use real examples to drive discussion • Create immediate execution through activity • Run contests that build visibility and accountability • Shortlist, vote, and let the team own the win This is about turning meetings into movement. Not speeches. Not theater. Behavior change. If you're a GM, GSM, Fixed Ops Director, Sales Manager, or Service Manager who's tired of initiatives fading out — this episode gives you a repeatable structure to make things stick. Momentum doesn't come from motivation. It comes from movement. Dealer Talk with Jen Suzuki Podcast |

Australia is best known for its Shiraz. Big bold Shiraz and Cabernet Sauvignon from Barossa Valley, McLaren Vale, and Coonawarra. These are all from South Australia.We have talked about Western Australia (Margaret River) known for Cabernet Sauvignon and Chardonnay.Yarra Valley in Victoria is a cooler region known for its Chardonnay and Pinot Noir.Tasmania is off the south Coast of Australia and is an island. This is a cooler region and produces sparkling wines, Pinot Noir, and Chardonnay.Riesling is normally dry and crisp and best known for coming from the Clare Valley and the Eden Valley. Barossa Valley: Famous for bold Shiraz.Coonawarra: Renowned for rich Cabernet Sauvignon.Margaret River: A key region for elegant Chardonnay and Sauvignon Blanc blends.Clare Valley: Known for world-class, dry Riesling.McLaren Vale: Produces excellent Grenache, Shiraz, and GSM blends.Yarra Valley: A cooler climate region well known for quality Pinot Noir. Tonight, we are tasting:2020 Koonunga Hill, Shiraz Cabernet. Penfolds Wines South Australia. The winery is one of the best known in Australia and was established in 1844. Deep purple color, sweet dark dense berries, chocolate. Medium acidity, full-bodied, 14.5% alcohol. Flavors of vanilla bean creaminess and warm spice. Dried rosemary and sage might give appearance of earthiness. I purchased at Costco for $8. I mostly saw this wine running around $11, but I did see an online clearance sale (at Fine Wine and Good Spirits) for $4.33 (it said $11.26 off). The wine comes from the South Australia, but is a multi-regional blend. 65% Shiraz and 35% Cabernet Sauvignon.2020 Max's Shiraz Cabernet Penfolds. I purchased this wine at WineStyles for $17.00. Wine Enthusiast says aromas of blackberry jam, cherry cordial, pencil shavings and sweet vanilla bean-and-dark-chocolate oak influence. Rich, balanced acidity with tannins in the background. Could benefit from a few more years of aging. The wine scored a 92 from Wine Enthusiast. 70% Shiraz and 30% cabernet Sauvignon. 14.5% alcohol.2021 Bin 28 Shiraz Penfolds. Purchased at Wall to Wall Wine for $30. Wine Enthusiast says dense, ripe and powerful with quite a bit of oak. Chocolate with dark fruit and pepper spice on the nose. Flavor is rich and luscious, muscular tannins support rather than overpowers. Could age for a few more years. The wine was scored a 93 from the Wine Enthusiast. The wine is aged in American Oak for 12 months. 14.5% alcohol.We both liked #2 Max's Shiraz/Cabernet the best, and we thought this was the best buy of the night. I also liked #3 Bin 28 Shiraz, a very powerful fruity-oaky wine. I felt it lost a little balance because of the amount of oak, Denise didn't care for it's finish. Neither of us really cared for #1 Koonunga Hill, Shiraz/Cabernet. Next week we are exploring white wines of Australia.

Perplexed by patients with normal exams but persistent symptoms like recurrent UTIs or palpitations? It could be menopause. In this insightful episode of Succeed In Medicine podcast, host Dr. Bradley Block interviews Dr. Lauren Streicher. They explore commonly overlooked menopause symptoms beyond hot flashes: recurrent urinary tract infections tied to genitourinary syndrome of menopause (GSM), palpitations as "hot flashes of the heart" (often sinus tachycardia without EKG changes), GI microbiome shifts causing nebulous digestive issues, xerostomia (dry mouth) linked to oral health risks, and skin/hair changes like alopecia. Dr. Streicher emphasizes reassuring patients early, validating symptoms as hormonal, and tailoring treatments, vaginal estrogen, safe even for breast cancer patients, systemic hormones, or new non-hormonal NK3 receptor antagonists like fezolinetant. They discuss the SWAN study's findings on long-term risks from untreated hot flashes (e.g., cardiovascular disease, bone loss), the need to differentiate perimenopausal (temporary) vs. lifelong postmenopausal effects, and avoiding arbitrary hormone therapy stops after 5 years. The conversation also touches on sexual health gaps in medicine, with tips for better history-taking and resources like Dr. Stryker's "Come Again" course. Listeners, clinicians and patients alike, will gain tools to address menopause holistically, improving quality of life and preventing complications. Three Actionable Takeaways: Recognize GSM in Recurrent UTIs: For postmenopausal women with new-onset recurrent UTIs, suspect genitourinary syndrome of menopause, prescribe local vaginal estrogen (cream, suppository, or ring) to restore microbiome and tissue health; it's safe for most, including breast cancer survivors on aromatase inhibitors. Reassure on Palpitations First: When midlife women present with palpitations, lead with "This is common in perimenopause (up to 50% affected) likely autonomic dysfunction like a 'heart hot flash'"; order a Holter monitor, but emphasize it's often benign and tied to vasomotor symptoms, treatable with hormones or NK3 antagonists. Integrate Sexual History Properly: Ditch "Are you sexually active?",  ask "Many women in menopause experience low libido, pain with sex, or orgasm difficulty; are any of these issues for you?"; refer to resources like Dr. Streicher's course for evaluation scripts, screeners, and solutions to address 50% of patients' unspoken concerns. About the Show: Succeed In Medicine covers patient interactions, burnout, career growth, personal finance, and more. If you're tired of dull medical lectures, tune in for real-world lessons we should have learned in med school! About the Guest: Dr. Lauren Streicher is a clinical professor of OB-GYN at Northwestern University and founding director of its Center for Sexual Medicine and Menopause. A certified menopause practitioner, she serves on the Menopause journal's editorial board, is a Kinsey Institute fellow, and authors bestsellers like "Sex Rx" and "Hot Flash Hell." She hosts "Inside Information" podcast and created "Come Again" audio series on postmenopausal sexuality. Connect with Dr. Lauren Streicher: Website: https://www.drstreicher.com Email: info@drstreicher.com  About the Host: Dr. Bradley Block – Dr. Bradley Block is a board-certified otolaryngologist at ENT and Allergy Associates in Garden City, NY. He specializes in adult and pediatric ENT, with interests in sinusitis and obstructive sleep apnea. Dr. Block also hosts Succeed In Medicine podcast, focusing on personal and professional development for physicians Want to be a guest? Email Brad at brad@physiciansguidetodoctoring.com  or visit www.physiciansguidetodoctoring.com to learn more! Socials: @physiciansguidetodoctoring on Facebook @physicianguidetodoctoring on YouTube @physiciansguide on Instagram and Twitter This medical podcast is your physician mentor to fill the gaps in your medical education. We cover physician soft skills, charting, interpersonal skills, doctor finance, doctor mental health, medical decisions, physician parenting, physician executive skills, navigating your doctor career, and medical professional development. This is critical CME for physicians, but without the credits (yet). A proud founding member of the Doctor Podcast Network!Visit www.physiciansguidetodoctoring.com to connect, dive deeper, and keep the conversation going. Let's grow! Disclaimer:This podcast is for informational purposes only and is not a substitute for professional medical, financial, or legal advice. Always consult a qualified professional for personalized guidance. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

GSM sounds like a cool stage name@Bodegacorazondelsol @gamble_estates @whitehalllane @donmelchorwine #wine #napavalleywine #podcast #radioshow #hostCo hosts : Good ol Boy Harmeet, Good ol Boy Justin, Made Man Maury, Made Man BobSIPS – Join us for a delightful exploration of some remarkable wines from Napa Valley and Mendoza, Argentina. In this episode, we'll be tasting and rating an impressive lineup. Our hosts dive into the unique characteristics of each wine, sharing their tasting notes, food pairings, and a healthy dose of humor along the way. Whether you're a seasoned wine enthusiast or just starting your journey, this episode promises to be both informative and entertaining. Get ready for ratings from 1-5 with our signature SIPS sounds!4:46 Gamble Estates Yountville Sauvignon Blanc 20244 SIPS11:11 Corazon del Sol Luminoso GSM Blend 2022 Mendoza Argentina3 SIPS17:17 Whitehall Lane Napa Valley Merlot 20213 SIPS23:52 Revana Cabernet Sauvignon Napa Valley 2021 4 SIPS29:56 Revana Estate Cabernet Sauvignon St Helena 20214 SIPS33:19 Don Melchor Puente Alto Vineyard Cabernet Sauvignon 20215 SIPSinfo@sipssudsandsmokes.comX- @sipssudssmokes IG/FB/Bluesky - @sipssudsandsmokesSips, Suds, & Smokes® is produced by One Tan Hand Productions using the power of beer, whiskey, and golf. Available on Apple Podcasts, YouTube Music, Amazon Music, Pandora, iHeart, and nearly anywhere you can find a podcast.Enjoying that cool Outro Music, it's from Woods & Whitehead – Back RoadsDownload your copy here:https://amzn.to/2XblorcThe easiest way to find this award winning podcast on your phone is ask Alexa, Siri or Google, “Play Podcast , Sips, Suds, & Smokes” Credits:TITLE: Maxwell Swing / FlapperjackPERFORMED BY: Texas GypsiesCOMPOSED BY: Steven R Curry (BMI)PUBLISHED BY: Alliance AudioSparx (BMI)COURTESY OF: AudioSparxTITLE: Back RoadsPERFORMED BY: Woods & WhiteheadCOMPOSED BY: Terry Whitehead & Jeff WoodsPUBLISHED BY: Terry WhiteheadCOURTESY OF: Terry Whitehead & Jeff WoodsPost production services : Pro Podcast SolutionsAdvertising sales: Contact us directlyContent hosting services: Talk Media Network, Audioport, Earshot, Radio4All, & PodBeanProducer: Made Man BobExecutive Producer: Good ol Boy MikeWine Tasting, Cabernet Sauvignon, Sauvignon Blanc, Gsm Blend, Napa Valley Wines, Mendoza Wines, Wine Ratings, Merlot, Wine Reviews, Wine And Food Pairing, Wine Education, Wine Enthusiasts, Don Melchor, Wine Production, Vineyard History, Tasting Notes, Wine Cellar, Wine Appreciation, Fine Wines, Wine Podcast

Join the Buff Muff Community and stop letting your bladder run your life!  https://get.buffmuff.com/methodSupport your pelvic and whole body health with Rejeuve https://rejeuve.com/Rejuve is a line of pelvic health and whole body health supporting supplements that are helping women have a daily poogasm, eliminate leaks and prolapse symptoms, and keep their vulvovaginal tissues supple and resilient. Get your Rejeuve Supplements https://rejeuve.com/ and use code Podcast to save 10% off your first order.Thank you so much for listening! I use fitness and movement to help women prevent and overcome pelvic floor challenges like incontinence and organ prolapse. There is help for women in all life stages! Every Woman Needs A Vagina Coach! Please make sure to LEAVE A REVIEW and SUBSCRIBE to the show for the best fitness and wellness advice south of your belly button. *******************I recommend checking out my comprehensive pelvic health education and fitness programs on my Buff Muff AppYou can also join my next 28 Day Buff Muff Challenge https://www.vaginacoach.com/buffmuffIf you are feeling social you can connect with me… On Facebook https://www.facebook.com/VagCoachOn Instagram https://www.instagram.com/vaginacoach/On Twitter https://twitter.com/VaginaCoachOn The Web www.vaginacoach.comGet your Feel Amazing Vaginal Moisturizer Here

From rewriting Google's search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer of the modern AI stack. As Chief AI Scientist at Google and a driving force behind Gemini, Jeff has lived through multiple scaling revolutions from CPUs and sharded indices to multimodal models that reason across text, video, and code.Jeff joins us to unpack what it really means to “own the Pareto frontier,” why distillation is the engine behind every Flash model breakthrough, how energy (in picojoules) not FLOPs is becoming the true bottleneck, what it was like leading the charge to unify all of Google's AI teams, and why the next leap won't come from bigger context windows alone, but from systems that give the illusion of attending to trillions of tokens.We discuss:* Jeff's early neural net thesis in 1990: parallel training before it was cool, why he believed scaling would win decades early, and the “bigger model, more data, better results” mantra that held for 15 years* The evolution of Google Search: sharding, moving the entire index into memory in 2001, softening query semantics pre-LLMs, and why retrieval pipelines already resemble modern LLM systems* Pareto frontier strategy: why you need both frontier “Pro” models and low-latency “Flash” models, and how distillation lets smaller models surpass prior generations* Distillation deep dive: ensembles → compression → logits as soft supervision, and why you need the biggest model to make the smallest one good* Latency as a first-class objective: why 10–50x lower latency changes UX entirely, and how future reasoning workloads will demand 10,000 tokens/sec* Energy-based thinking: picojoules per bit, why moving data costs 1000x more than a multiply, batching through the lens of energy, and speculative decoding as amortization* TPU co-design: predicting ML workloads 2–6 years out, speculative hardware features, precision reduction, sparsity, and the constant feedback loop between model architecture and silicon* Sparse models and “outrageously large” networks: trillions of parameters with 1–5% activation, and why sparsity was always the right abstraction* Unified vs. specialized models: abandoning symbolic systems, why general multimodal models tend to dominate vertical silos, and when vertical fine-tuning still makes sense* Long context and the illusion of scale: beyond needle-in-a-haystack benchmarks toward systems that narrow trillions of tokens to 117 relevant documents* Personalized AI: attending to your emails, photos, and documents (with permission), and why retrieval + reasoning will unlock deeply personal assistants* Coding agents: 50 AI interns, crisp specifications as a new core skill, and how ultra-low latency will reshape human–agent collaboration* Why ideas still matter: transformers, sparsity, RL, hardware, systems — scaling wasn't blind; the pieces had to multiply togetherShow Notes:* Gemma 3 Paper* Gemma 3* Gemini 2.5 Report* Jeff Dean's “Software Engineering Advice fromBuilding Large-Scale Distributed Systems” Presentation (with Back of the Envelope Calculations)* Latency Numbers Every Programmer Should Know by Jeff Dean* The Jeff Dean Facts* Jeff Dean Google Bio* Jeff Dean on “Important AI Trends” @Stanford AI Club* Jeff Dean & Noam Shazeer — 25 years at Google (Dwarkesh)—Jeff Dean* LinkedIn: https://www.linkedin.com/in/jeff-dean-8b212555* X: https://x.com/jeffdeanGoogle* https://google.com* https://deepmind.googleFull Video EpisodeTimestamps00:00:04 — Introduction: Alessio & Swyx welcome Jeff Dean, chief AI scientist at Google, to the Latent Space podcast00:00:30 — Owning the Pareto Frontier & balancing frontier vs low-latency models00:01:31 — Frontier models vs Flash models + role of distillation00:03:52 — History of distillation and its original motivation00:05:09 — Distillation's role in modern model scaling00:07:02 — Model hierarchy (Flash, Pro, Ultra) and distillation sources00:07:46 — Flash model economics & wide deployment00:08:10 — Latency importance for complex tasks00:09:19 — Saturation of some tasks and future frontier tasks00:11:26 — On benchmarks, public vs internal00:12:53 — Example long-context benchmarks & limitations00:15:01 — Long-context goals: attending to trillions of tokens00:16:26 — Realistic use cases beyond pure language00:18:04 — Multimodal reasoning and non-text modalities00:19:05 — Importance of vision & motion modalities00:20:11 — Video understanding example (extracting structured info)00:20:47 — Search ranking analogy for LLM retrieval00:23:08 — LLM representations vs keyword search00:24:06 — Early Google search evolution & in-memory index00:26:47 — Design principles for scalable systems00:28:55 — Real-time index updates & recrawl strategies00:30:06 — Classic “Latency numbers every programmer should know”00:32:09 — Cost of memory vs compute and energy emphasis00:34:33 — TPUs & hardware trade-offs for serving models00:35:57 — TPU design decisions & co-design with ML00:38:06 — Adapting model architecture to hardware00:39:50 — Alternatives: energy-based models, speculative decoding00:42:21 — Open research directions: complex workflows, RL00:44:56 — Non-verifiable RL domains & model evaluation00:46:13 — Transition away from symbolic systems toward unified LLMs00:47:59 — Unified models vs specialized ones00:50:38 — Knowledge vs reasoning & retrieval + reasoning00:52:24 — Vertical model specialization & modules00:55:21 — Token count considerations for vertical domains00:56:09 — Low resource languages & contextual learning00:59:22 — Origins: Dean's early neural network work01:10:07 — AI for coding & human–model interaction styles01:15:52 — Importance of crisp specification for coding agents01:19:23 — Prediction: personalized models & state retrieval01:22:36 — Token-per-second targets (10k+) and reasoning throughput01:23:20 — Episode conclusion and thanksTranscriptAlessio Fanelli [00:00:04]: Hey everyone, welcome to the Latent Space podcast. This is Alessio, founder of Kernel Labs, and I'm joined by Swyx, editor of Latent Space. Shawn Wang [00:00:11]: Hello, hello. We're here in the studio with Jeff Dean, chief AI scientist at Google. Welcome. Thanks for having me. It's a bit surreal to have you in the studio. I've watched so many of your talks, and obviously your career has been super legendary. So, I mean, congrats. I think the first thing must be said, congrats on owning the Pareto Frontier.Jeff Dean [00:00:30]: Thank you, thank you. Pareto Frontiers are good. It's good to be out there.Shawn Wang [00:00:34]: Yeah, I mean, I think it's a combination of both. You have to own the Pareto Frontier. You have to have like frontier capability, but also efficiency, and then offer that range of models that people like to use. And, you know, some part of this was started because of your hardware work. Some part of that is your model work, and I'm sure there's lots of secret sauce that you guys have worked on cumulatively. But, like, it's really impressive to see it all come together in, like, this slittily advanced.Jeff Dean [00:01:04]: Yeah, yeah. I mean, I think, as you say, it's not just one thing. It's like a whole bunch of things up and down the stack. And, you know, all of those really combine to help make UNOS able to make highly capable large models, as well as, you know, software techniques to get those large model capabilities into much smaller, lighter weight models that are, you know, much more cost effective and lower latency, but still, you know, quite capable for their size. Yeah.Alessio Fanelli [00:01:31]: How much pressure do you have on, like, having the lower bound of the Pareto Frontier, too? I think, like, the new labs are always trying to push the top performance frontier because they need to raise more money and all of that. And you guys have billions of users. And I think initially when you worked on the CPU, you were thinking about, you know, if everybody that used Google, we use the voice model for, like, three minutes a day, they were like, you need to double your CPU number. Like, what's that discussion today at Google? Like, how do you prioritize frontier versus, like, we have to do this? How do we actually need to deploy it if we build it?Jeff Dean [00:02:03]: Yeah, I mean, I think we always want to have models that are at the frontier or pushing the frontier because I think that's where you see what capabilities now exist that didn't exist at the sort of slightly less capable last year's version or last six months ago version. At the same time, you know, we know those are going to be really useful for a bunch of use cases, but they're going to be a bit slower and a bit more expensive than people might like for a bunch of other broader models. So I think what we want to do is always have kind of a highly capable sort of affordable model that enables a whole bunch of, you know, lower latency use cases. People can use them for agentic coding much more readily and then have the high-end, you know, frontier model that is really useful for, you know, deep reasoning, you know, solving really complicated math problems, those kinds of things. And it's not that. One or the other is useful. They're both useful. So I think we'd like to do both. And also, you know, through distillation, which is a key technique for making the smaller models more capable, you know, you have to have the frontier model in order to then distill it into your smaller model. So it's not like an either or choice. You sort of need that in order to actually get a highly capable, more modest size model. Yeah.Alessio Fanelli [00:03:24]: I mean, you and Jeffrey came up with the solution in 2014.Jeff Dean [00:03:28]: Don't forget, L'Oreal Vinyls as well. Yeah, yeah.Alessio Fanelli [00:03:30]: A long time ago. But like, I'm curious how you think about the cycle of these ideas, even like, you know, sparse models and, you know, how do you reevaluate them? How do you think about in the next generation of model, what is worth revisiting? Like, yeah, they're just kind of like, you know, you worked on so many ideas that end up being influential, but like in the moment, they might not feel that way necessarily. Yeah.Jeff Dean [00:03:52]: I mean, I think distillation was originally motivated because we were seeing that we had a very large image data set at the time, you know, 300 million images that we could train on. And we were seeing that if you create specialists for different subsets of those image categories, you know, this one's going to be really good at sort of mammals, and this one's going to be really good at sort of indoor room scenes or whatever, and you can cluster those categories and train on an enriched stream of data after you do pre-training on a much broader set of images. You get much better performance. If you then treat that whole set of maybe 50 models you've trained as a large ensemble, but that's not a very practical thing to serve, right? So distillation really came about from the idea of, okay, what if we want to actually serve that and train all these independent sort of expert models and then squish it into something that actually fits in a form factor that you can actually serve? And that's, you know, not that different from what we're doing today. You know, often today we're instead of having an ensemble of 50 models. We're having a much larger scale model that we then distill into a much smaller scale model.Shawn Wang [00:05:09]: Yeah. A part of me also wonders if distillation also has a story with the RL revolution. So let me maybe try to articulate what I mean by that, which is you can, RL basically spikes models in a certain part of the distribution. And then you have to sort of, well, you can spike models, but usually sometimes... It might be lossy in other areas and it's kind of like an uneven technique, but you can probably distill it back and you can, I think that the sort of general dream is to be able to advance capabilities without regressing on anything else. And I think like that, that whole capability merging without loss, I feel like it's like, you know, some part of that should be a distillation process, but I can't quite articulate it. I haven't seen much papers about it.Jeff Dean [00:06:01]: Yeah, I mean, I tend to think of one of the key advantages of distillation is that you can have a much smaller model and you can have a very large, you know, training data set and you can get utility out of making many passes over that data set because you're now getting the logits from the much larger model in order to sort of coax the right behavior out of the smaller model that you wouldn't otherwise get with just the hard labels. And so, you know, I think that's what we've observed. Is you can get, you know, very close to your largest model performance with distillation approaches. And that seems to be, you know, a nice sweet spot for a lot of people because it enables us to kind of, for multiple Gemini generations now, we've been able to make the sort of flash version of the next generation as good or even substantially better than the previous generations pro. And I think we're going to keep trying to do that because that seems like a good trend to follow.Shawn Wang [00:07:02]: So, Dara asked, so it was the original map was Flash Pro and Ultra. Are you just sitting on Ultra and distilling from that? Is that like the mother load?Jeff Dean [00:07:12]: I mean, we have a lot of different kinds of models. Some are internal ones that are not necessarily meant to be released or served. Some are, you know, our pro scale model and we can distill from that as well into our Flash scale model. So I think, you know, it's an important set of capabilities to have and also inference time scaling. It can also be a useful thing to improve the capabilities of the model.Shawn Wang [00:07:35]: And yeah, yeah, cool. Yeah. And obviously, I think the economy of Flash is what led to the total dominance. I think the latest number is like 50 trillion tokens. I don't know. I mean, obviously, it's changing every day.Jeff Dean [00:07:46]: Yeah, yeah. But, you know, by market share, hopefully up.Shawn Wang [00:07:50]: No, I mean, there's no I mean, there's just the economics wise, like because Flash is so economical, like you can use it for everything. Like it's in Gmail now. It's in YouTube. Like it's yeah. It's in everything.Jeff Dean [00:08:02]: We're using it more in our search products of various AI mode reviews.Shawn Wang [00:08:05]: Oh, my God. Flash past the AI mode. Oh, my God. Yeah, that's yeah, I didn't even think about that.Jeff Dean [00:08:10]: I mean, I think one of the things that is quite nice about the Flash model is not only is it more affordable, it's also a lower latency. And I think latency is actually a pretty important characteristic for these models because we're going to want models to do much more complicated things that are going to involve, you know, generating many more tokens from when you ask the model to do so. So, you know, if you're going to ask the model to do something until it actually finishes what you ask it to do, because you're going to ask now, not just write me a for loop, but like write me a whole software package to do X or Y or Z. And so having low latency systems that can do that seems really important. And Flash is one direction, one way of doing that. You know, obviously our hardware platforms enable a bunch of interesting aspects of our, you know, serving stack as well, like TPUs, the interconnect between. Chips on the TPUs is actually quite, quite high performance and quite amenable to, for example, long context kind of attention operations, you know, having sparse models with lots of experts. These kinds of things really, really matter a lot in terms of how do you make them servable at scale.Alessio Fanelli [00:09:19]: Yeah. Does it feel like there's some breaking point for like the proto Flash distillation, kind of like one generation delayed? I almost think about almost like the capability as a. In certain tasks, like the pro model today is a saturated, some sort of task. So next generation, that same task will be saturated at the Flash price point. And I think for most of the things that people use models for at some point, the Flash model in two generation will be able to do basically everything. And how do you make it economical to like keep pushing the pro frontier when a lot of the population will be okay with the Flash model? I'm curious how you think about that.Jeff Dean [00:09:59]: I mean, I think that's true. If your distribution of what people are asking people, the models to do is stationary, right? But I think what often happens is as the models become more capable, people ask them to do more, right? So, I mean, I think this happens in my own usage. Like I used to try our models a year ago for some sort of coding task, and it was okay at some simpler things, but wouldn't do work very well for more complicated things. And since then, we've improved dramatically on the more complicated coding tasks. And now I'll ask it to do much more complicated things. And I think that's true, not just of coding, but of, you know, now, you know, can you analyze all the, you know, renewable energy deployments in the world and give me a report on solar panel deployment or whatever. That's a very complicated, you know, more complicated task than people would have asked a year ago. And so you are going to want more capable models to push the frontier in the absence of what people ask the models to do. And that also then gives us. Insight into, okay, where does the, where do things break down? How can we improve the model in these, these particular areas, uh, in order to sort of, um, make the next generation even better.Alessio Fanelli [00:11:11]: Yeah. Are there any benchmarks or like test sets they use internally? Because it's almost like the same benchmarks get reported every time. And it's like, all right, it's like 99 instead of 97. Like, how do you have to keep pushing the team internally to it? Or like, this is what we're building towards. Yeah.Jeff Dean [00:11:26]: I mean, I think. Benchmarks, particularly external ones that are publicly available. Have their utility, but they often kind of have a lifespan of utility where they're introduced and maybe they're quite hard for current models. You know, I, I like to think of the best kinds of benchmarks are ones where the initial scores are like 10 to 20 or 30%, maybe, but not higher. And then you can sort of work on improving that capability for, uh, whatever it is, the benchmark is trying to assess and get it up to like 80, 90%, whatever. I, I think once it hits kind of 95% or something, you get very diminishing returns from really focusing on that benchmark, cuz it's sort of, it's either the case that you've now achieved that capability, or there's also the issue of leakage in public data or very related kind of data being, being in your training data. Um, so we have a bunch of held out internal benchmarks that we really look at where we know that wasn't represented in the training data at all. There are capabilities that we want the model to have. Um, yeah. Yeah. Um, that it doesn't have now, and then we can work on, you know, assessing, you know, how do we make the model better at these kinds of things? Is it, we need different kind of data to train on that's more specialized for this particular kind of task. Do we need, um, you know, a bunch of, uh, you know, architectural improvements or some sort of, uh, model capability improvements, you know, what would help make that better?Shawn Wang [00:12:53]: Is there, is there such an example that you, uh, a benchmark inspired in architectural improvement? Like, uh, I'm just kind of. Jumping on that because you just.Jeff Dean [00:13:02]: Uh, I mean, I think some of the long context capability of the, of the Gemini models that came, I guess, first in 1.5 really were about looking at, okay, we want to have, um, you know,Shawn Wang [00:13:15]: immediately everyone jumped to like completely green charts of like, everyone had, I was like, how did everyone crack this at the same time? Right. Yeah. Yeah.Jeff Dean [00:13:23]: I mean, I think, um, and once you're set, I mean, as you say that needed single needle and a half. Hey, stack benchmark is really saturated for at least context links up to 1, 2 and K or something. Don't actually have, you know, much larger than 1, 2 and 8 K these days or two or something. We're trying to push the frontier of 1 million or 2 million context, which is good because I think there are a lot of use cases where. Yeah. You know, putting a thousand pages of text or putting, you know, multiple hour long videos and the context and then actually being able to make use of that as useful. Try to, to explore the über graduation are fairly large. But the single needle in a haystack benchmark is sort of saturated. So you really want more complicated, sort of multi-needle or more realistic, take all this content and produce this kind of answer from a long context that sort of better assesses what it is people really want to do with long context. Which is not just, you know, can you tell me the product number for this particular thing?Shawn Wang [00:14:31]: Yeah, it's retrieval. It's retrieval within machine learning. It's interesting because I think the more meta level I'm trying to operate at here is you have a benchmark. You're like, okay, I see the architectural thing I need to do in order to go fix that. But should you do it? Because sometimes that's an inductive bias, basically. It's what Jason Wei, who used to work at Google, would say. Exactly the kind of thing. Yeah, you're going to win. Short term. Longer term, I don't know if that's going to scale. You might have to undo that.Jeff Dean [00:15:01]: I mean, I like to sort of not focus on exactly what solution we're going to derive, but what capability would you want? And I think we're very convinced that, you know, long context is useful, but it's way too short today. Right? Like, I think what you would really want is, can I attend to the internet while I answer my question? Right? But that's not going to happen. I think that's going to be solved by purely scaling the existing solutions, which are quadratic. So a million tokens kind of pushes what you can do. You're not going to do that to a trillion tokens, let alone, you know, a billion tokens, let alone a trillion. But I think if you could give the illusion that you can attend to trillions of tokens, that would be amazing. You'd find all kinds of uses for that. You would have attend to the internet. You could attend to the pixels of YouTube and the sort of deeper representations that we can find. You could attend to the form for a single video, but across many videos, you know, on a personal Gemini level, you could attend to all of your personal state with your permission. So like your emails, your photos, your docs, your plane tickets you have. I think that would be really, really useful. And the question is, how do you get algorithmic improvements and system level improvements that get you to something where you actually can attend to trillions of tokens? Right. In a meaningful way. Yeah.Shawn Wang [00:16:26]: But by the way, I think I did some math and it's like, if you spoke all day, every day for eight hours a day, you only generate a maximum of like a hundred K tokens, which like very comfortably fits.Jeff Dean [00:16:38]: Right. But if you then say, okay, I want to be able to understand everything people are putting on videos.Shawn Wang [00:16:46]: Well, also, I think that the classic example is you start going beyond language into like proteins and whatever else is extremely information dense. Yeah. Yeah.Jeff Dean [00:16:55]: I mean, I think one of the things about Gemini's multimodal aspects is we've always wanted it to be multimodal from the start. And so, you know, that sometimes to people means text and images and video sort of human-like and audio, audio, human-like modalities. But I think it's also really useful to have Gemini know about non-human modalities. Yeah. Like LIDAR sensor data from. Yes. Say, Waymo vehicles or. Like robots or, you know, various kinds of health modalities, x-rays and MRIs and imaging and genomics information. And I think there's probably hundreds of modalities of data where you'd like the model to be able to at least be exposed to the fact that this is an interesting modality and has certain meaning in the world. Where even if you haven't trained on all the LIDAR data or MRI data, you could have, because maybe that's not, you know, it doesn't make sense in terms of trade-offs of. You know, what you include in your main pre-training data mix, at least including a little bit of it is actually quite useful. Yeah. Because it sort of tempts the model that this is a thing.Shawn Wang [00:18:04]: Yeah. Do you believe, I mean, since we're on this topic and something I just get to ask you all the questions I always wanted to ask, which is fantastic. Like, are there some king modalities, like modalities that supersede all the other modalities? So a simple example was Vision can, on a pixel level, encode text. And DeepSeq had this DeepSeq CR paper that did that. Vision. And Vision has also been shown to maybe incorporate audio because you can do audio spectrograms and that's, that's also like a Vision capable thing. Like, so, so maybe Vision is just the king modality and like. Yeah.Jeff Dean [00:18:36]: I mean, Vision and Motion are quite important things, right? Motion. Well, like video as opposed to static images, because I mean, there's a reason evolution has evolved eyes like 23 independent ways, because it's such a useful capability for sensing the world around you, which is really what we want these models to be. So I think the only thing that we can be able to do is interpret the things we're seeing or the things we're paying attention to and then help us in using that information to do things. Yeah.Shawn Wang [00:19:05]: I think motion, you know, I still want to shout out, I think Gemini, still the only native video understanding model that's out there. So I use it for YouTube all the time. Nice.Jeff Dean [00:19:15]: Yeah. Yeah. I mean, it's actually, I think people kind of are not necessarily aware of what the Gemini models can actually do. Yeah. Like I have an example I've used in one of my talks. It had like, it was like a YouTube highlight video of 18 memorable sports moments across the last 20 years or something. So it has like Michael Jordan hitting some jump shot at the end of the finals and, you know, some soccer goals and things like that. And you can literally just give it the video and say, can you please make me a table of what all these different events are? What when the date is when they happened? And a short description. And so you get like now an 18 row table of that information extracted from the video, which is, you know, not something most people think of as like a turn video into sequel like table.Alessio Fanelli [00:20:11]: Has there been any discussion inside of Google of like, you mentioned tending to the whole internet, right? Google, it's almost built because a human cannot tend to the whole internet and you need some sort of ranking to find what you need. Yep. That ranking is like much different for an LLM because you can expect a person to look at maybe the first five, six links in a Google search versus for an LLM. Should you expect to have 20 links that are highly relevant? Like how do you internally figure out, you know, how do we build the AI mode that is like maybe like much broader search and span versus like the more human one? Yeah.Jeff Dean [00:20:47]: I mean, I think even pre-language model based work, you know, our ranking systems would be built to start. I mean, I think even pre-language model based work, you know, our ranking systems would be built to start. With a giant number of web pages in our index, many of them are not relevant. So you identify a subset of them that are relevant with very lightweight kinds of methods. You know, you're down to like 30,000 documents or something. And then you gradually refine that to apply more and more sophisticated algorithms and more and more sophisticated sort of signals of various kinds in order to get down to ultimately what you show, which is, you know, the final 10 results or, you know, 10 results plus. Other kinds of information. And I think an LLM based system is not going to be that dissimilar, right? You're going to attend to trillions of tokens, but you're going to want to identify, you know, what are the 30,000 ish documents that are with the, you know, maybe 30 million interesting tokens. And then how do you go from that into what are the 117 documents I really should be paying attention to in order to carry out the tasks that the user has asked? And I think, you know, you can imagine systems where you have, you know, a lot of highly parallel processing to identify those initial 30,000 candidates, maybe with very lightweight kinds of models. Then you have some system that sort of helps you narrow down from 30,000 to the 117 with maybe a little bit more sophisticated model or set of models. And then maybe the final model is the thing that looks. So the 117 things that might be your most capable model. So I think it has to, it's going to be some system like that, that is really enables you to give the illusion of attending to trillions of tokens. Sort of the way Google search gives you, you know, not the illusion, but you are searching the internet, but you're finding, you know, a very small subset of things that are, that are relevant.Shawn Wang [00:22:47]: Yeah. I often tell a lot of people that are not steeped in like Google search history that, well, you know, like Bert was. Like he was like basically immediately inside of Google search and that improves results a lot, right? Like I don't, I don't have any numbers off the top of my head, but like, I'm sure you guys, that's obviously the most important numbers to Google. Yeah.Jeff Dean [00:23:08]: I mean, I think going to an LLM based representation of text and words and so on enables you to get out of the explicit hard notion of, of particular words having to be on the page, but really getting at the notion of this topic of this page or this page. Paragraph is highly relevant to this query. Yeah.Shawn Wang [00:23:28]: I don't think people understand how much LLMs have taken over all these very high traffic system, very high traffic. Yeah. Like it's Google, it's YouTube. YouTube has this like semantics ID thing where it's just like every token or every item in the vocab is a YouTube video or something that predicts the video using a code book, which is absurd to me for YouTube size.Jeff Dean [00:23:50]: And then most recently GROK also for, for XAI, which is like, yeah. I mean, I'll call out even before LLMs were used extensively in search, we put a lot of emphasis on softening the notion of what the user actually entered into the query.Shawn Wang [00:24:06]: So do you have like a history of like, what's the progression? Oh yeah.Jeff Dean [00:24:09]: I mean, I actually gave a talk in, uh, I guess, uh, web search and data mining conference in 2009, uh, where we never actually published any papers about the origins of Google search, uh, sort of, but we went through sort of four or five or six. generations, four or five or six generations of, uh, redesigning of the search and retrieval system, uh, from about 1999 through 2004 or five. And that talk is really about that evolution. And one of the things that really happened in 2001 was we were sort of working to scale the system in multiple dimensions. So one is we wanted to make our index bigger, so we could retrieve from a larger index, which always helps your quality in general. Uh, because if you don't have the page in your index, you're going to not do well. Um, and then we also needed to scale our capacity because we were, our traffic was growing quite extensively. Um, and so we had, you know, a sharded system where you have more and more shards as the index grows, you have like 30 shards. And then if you want to double the index size, you make 60 shards so that you can bound the latency by which you respond for any particular user query. Um, and then as traffic grows, you add, you add more and more replicas of each of those. And so we eventually did the math that realized that in a data center where we had say 60 shards and, um, you know, 20 copies of each shard, we now had 1200 machines, uh, with disks. And we did the math and we're like, Hey, one copy of that index would actually fit in memory across 1200 machines. So in 2001, we introduced, uh, we put our entire index in memory and what that enabled from a quality perspective was amazing. Um, and so we had more and more replicas of each of those. Before you had to be really careful about, you know, how many different terms you looked at for a query, because every one of them would involve a disk seek on every one of the 60 shards. And so you, as you make your index bigger, that becomes even more inefficient. But once you have the whole index in memory, it's totally fine to have 50 terms you throw into the query from the user's original three or four word query, because now you can add synonyms like restaurant and restaurants and cafe and, uh, you know, things like that. Uh, bistro and all these things. And you can suddenly start, uh, sort of really, uh, getting at the meaning of the word as opposed to the exact semantic form the user typed in. And that was, you know, 2001, very much pre LLM, but really it was about softening the, the strict definition of what the user typed in order to get at the meaning.Alessio Fanelli [00:26:47]: What are like principles that you use to like design the systems, especially when you have, I mean, in 2001, the internet is like. Doubling, tripling every year in size is not like, uh, you know, and I think today you kind of see that with LLMs too, where like every year the jumps in size and like capabilities are just so big. Are there just any, you know, principles that you use to like, think about this? Yeah.Jeff Dean [00:27:08]: I mean, I think, uh, you know, first, whenever you're designing a system, you want to understand what are the sort of design parameters that are going to be most important in designing that, you know? So, you know, how many queries per second do you need to handle? How big is the internet? How big is the index you need to handle? How much data do you need to keep for every document in the index? How are you going to look at it when you retrieve things? Um, what happens if traffic were to double or triple, you know, will that system work well? And I think a good design principle is you're going to want to design a system so that the most important characteristics could scale by like factors of five or 10, but probably not beyond that because often what happens is if you design a system for X. And something suddenly becomes a hundred X, that would enable a very different point in the design space that would not make sense at X. But all of a sudden at a hundred X makes total sense. So like going from a disk space index to a in memory index makes a lot of sense once you have enough traffic, because now you have enough replicas of the sort of state on disk that those machines now actually can hold, uh, you know, a full copy of the, uh, index and memory. Yeah. And that all of a sudden enabled. A completely different design that wouldn't have been practical before. Yeah. Um, so I'm, I'm a big fan of thinking through designs in your head, just kind of playing with the design space a little before you actually do a lot of writing of code. But, you know, as you said, in the early days of Google, we were growing the index, uh, quite extensively. We were growing the update rate of the index. So the update rate actually is the parameter that changed the most. Surprising. So it used to be once a month.Shawn Wang [00:28:55]: Yeah.Jeff Dean [00:28:56]: And then we went to a system that could update any particular page in like sub one minute. Okay.Shawn Wang [00:29:02]: Yeah. Because this is a competitive advantage, right?Jeff Dean [00:29:04]: Because all of a sudden news related queries, you know, if you're, if you've got last month's news index, it's not actually that useful for.Shawn Wang [00:29:11]: News is a special beast. Was there any, like you could have split it onto a separate system.Jeff Dean [00:29:15]: Well, we did. We launched a Google news product, but you also want news related queries that people type into the main index to also be sort of updated.Shawn Wang [00:29:23]: So, yeah, it's interesting. And then you have to like classify whether the page is, you have to decide which pages should be updated and what frequency. Oh yeah.Jeff Dean [00:29:30]: There's a whole like, uh, system behind the scenes that's trying to decide update rates and importance of the pages. So even if the update rate seems low, you might still want to recrawl important pages quite often because, uh, the likelihood they change might be low, but the value of having updated is high.Shawn Wang [00:29:50]: Yeah, yeah, yeah, yeah. Uh, well, you know, yeah. This, uh, you know, mention of latency and, and saving things to this reminds me of one of your classics, which I have to bring up, which is latency numbers. Every programmer should know, uh, was there a, was it just a, just a general story behind that? Did you like just write it down?Jeff Dean [00:30:06]: I mean, this has like sort of eight or 10 different kinds of metrics that are like, how long does a cache mistake? How long does branch mispredict take? How long does a reference domain memory take? How long does it take to send, you know, a packet from the U S to the Netherlands or something? Um,Shawn Wang [00:30:21]: why Netherlands, by the way, or is it, is that because of Chrome?Jeff Dean [00:30:25]: Uh, we had a data center in the Netherlands, um, so, I mean, I think this gets to the point of being able to do the back of the envelope calculations. So these are sort of the raw ingredients of those, and you can use them to say, okay, well, if I need to design a system to do image search and thumb nailing or something of the result page, you know, how, what I do that I could pre-compute the image thumbnails. I could like. Try to thumbnail them on the fly from the larger images. What would that do? How much dis bandwidth than I need? How many des seeks would I do? Um, and you can sort of actually do thought experiments in, you know, 30 seconds or a minute with the sort of, uh, basic, uh, basic numbers at your fingertips. Uh, and then as you sort of build software using higher level libraries, you kind of want to develop the same intuitions for how long does it take to, you know, look up something in this particular kind of.Shawn Wang [00:31:21]: I'll see you next time.Shawn Wang [00:31:51]: Which is a simple byte conversion. That's nothing interesting. I wonder if you have any, if you were to update your...Jeff Dean [00:31:58]: I mean, I think it's really good to think about calculations you're doing in a model, either for training or inference.Jeff Dean [00:32:09]: Often a good way to view that is how much state will you need to bring in from memory, either like on-chip SRAM or HBM from the accelerator. Attached memory or DRAM or over the network. And then how expensive is that data motion relative to the cost of, say, an actual multiply in the matrix multiply unit? And that cost is actually really, really low, right? Because it's order, depending on your precision, I think it's like sub one picodule.Shawn Wang [00:32:50]: Oh, okay. You measure it by energy. Yeah. Yeah.Jeff Dean [00:32:52]: Yeah. I mean, it's all going to be about energy and how do you make the most energy efficient system. And then moving data from the SRAM on the other side of the chip, not even off the off chip, but on the other side of the same chip can be, you know, a thousand picodules. Oh, yeah. And so all of a sudden, this is why your accelerators require batching. Because if you move, like, say, the parameter of a model from SRAM on the, on the chip into the multiplier unit, that's going to cost you a thousand picodules. So you better make use of that, that thing that you moved many, many times with. So that's where the batch dimension comes in. Because all of a sudden, you know, if you have a batch of 256 or something, that's not so bad. But if you have a batch of one, that's really not good.Shawn Wang [00:33:40]: Yeah. Yeah. Right.Jeff Dean [00:33:41]: Because then you paid a thousand picodules in order to do your one picodule multiply.Shawn Wang [00:33:46]: I have never heard an energy-based analysis of batching.Jeff Dean [00:33:50]: Yeah. I mean, that's why people batch. Yeah. Ideally, you'd like to use batch size one because the latency would be great.Shawn Wang [00:33:56]: The best latency.Jeff Dean [00:33:56]: But the energy cost and the compute cost inefficiency that you get is quite large. So, yeah.Shawn Wang [00:34:04]: Is there a similar trick like, like, like you did with, you know, putting everything in memory? Like, you know, I think obviously NVIDIA has caused a lot of waves with betting very hard on SRAM with Grok. I wonder if, like, that's something that you already saw with, with the TPUs, right? Like that, that you had to. Uh, to serve at your scale, uh, you probably sort of saw that coming. Like what, what, what hardware, uh, innovations or insights were formed because of what you're seeing there?Jeff Dean [00:34:33]: Yeah. I mean, I think, you know, TPUs have this nice, uh, sort of regular structure of 2D or 3D meshes with a bunch of chips connected. Yeah. And each one of those has HBM attached. Um, I think for serving some kinds of models, uh, you know, you, you pay a lot higher cost. Uh, and time latency, um, bringing things in from HBM than you do bringing them in from, uh, SRAM on the chip. So if you have a small enough model, you can actually do model parallelism, spread it out over lots of chips and you actually get quite good throughput improvements and latency improvements from doing that. And so you're now sort of striping your smallish scale model over say 16 or 64 chips. Uh, but as if you do that and it all fits in. In SRAM, uh, that can be a big win. So yeah, that's not a surprise, but it is a good technique.Alessio Fanelli [00:35:27]: Yeah. What about the TPU design? Like how much do you decide where the improvements have to go? So like, this is like a good example of like, is there a way to bring the thousand picojoules down to 50? Like, is it worth designing a new chip to do that? The extreme is like when people say, oh, you should burn the model on the ASIC and that's kind of like the most extreme thing. How much of it? Is it worth doing an hardware when things change so quickly? Like what was the internal discussion? Yeah.Jeff Dean [00:35:57]: I mean, we, we have a lot of interaction between say the TPU chip design architecture team and the sort of higher level modeling, uh, experts, because you really want to take advantage of being able to co-design what should future TPUs look like based on where we think the sort of ML research puck is going, uh, in some sense, because, uh, you know, as a hardware designer for ML and in particular, you're trying to design a chip starting today and that design might take two years before it even lands in a data center. And then it has to sort of be a reasonable lifetime of the chip to take you three, four or five years. So you're trying to predict two to six years out where, what ML computations will people want to run two to six years out in a very fast changing field. And so having people with interest. Interesting ML research ideas of things we think will start to work in that timeframe or will be more important in that timeframe, uh, really enables us to then get, you know, interesting hardware features put into, you know, TPU N plus two, where TPU N is what we have today.Shawn Wang [00:37:10]: Oh, the cycle time is plus two.Jeff Dean [00:37:12]: Roughly. Wow. Because, uh, I mean, sometimes you can squeeze some changes into N plus one, but, you know, bigger changes are going to require the chip. Yeah. Design be earlier in its lifetime design process. Um, so whenever we can do that, it's generally good. And sometimes you can put in speculative features that maybe won't cost you much chip area, but if it works out, it would make something, you know, 10 times as fast. And if it doesn't work out, well, you burned a little bit of tiny amount of your chip area on that thing, but it's not that big a deal. Uh, sometimes it's a very big change and we want to be pretty sure this is going to work out. So we'll do like lots of carefulness. Uh, ML experimentation to show us, uh, this is actually the, the way we want to go. Yeah.Alessio Fanelli [00:37:58]: Is there a reverse of like, we already committed to this chip design so we can not take the model architecture that way because it doesn't quite fit?Jeff Dean [00:38:06]: Yeah. I mean, you, you definitely have things where you're going to adapt what the model architecture looks like so that they're efficient on the chips that you're going to have for both training and inference of that, of that, uh, generation of model. So I think it kind of goes both ways. Um, you know, sometimes you can take advantage of, you know, lower precision things that are coming in a future generation. So you can, might train it at that lower precision, even if the current generation doesn't quite do that. Mm.Shawn Wang [00:38:40]: Yeah. How low can we go in precision?Jeff Dean [00:38:43]: Because people are saying like ternary is like, uh, yeah, I mean, I'm a big fan of very low precision because I think that gets, that saves you a tremendous amount of time. Right. Because it's picojoules per bit that you're transferring and reducing the number of bits is a really good way to, to reduce that. Um, you know, I think people have gotten a lot of luck, uh, mileage out of having very low bit precision things, but then having scaling factors that apply to a whole bunch of, uh, those, those weights. Scaling. How does it, how does it, okay.Shawn Wang [00:39:15]: Interesting. You, so low, low precision, but scaled up weights. Yeah. Huh. Yeah. Never considered that. Yeah. Interesting. Uh, w w while we're on this topic, you know, I think there's a lot of, um, uh, this, the concept of precision at all is weird when we're sampling, you know, uh, we just, at the end of this, we're going to have all these like chips that I'll do like very good math. And then we're just going to throw a random number generator at the start. So, I mean, there's a movement towards, uh, energy based, uh, models and processors. I'm just curious if you've, obviously you've thought about it, but like, what's your commentary?Jeff Dean [00:39:50]: Yeah. I mean, I think. There's a bunch of interesting trends though. Energy based models is one, you know, diffusion based models, which don't sort of sequentially decode tokens is another, um, you know, speculative decoding is a way that you can get sort of an equivalent, very small.Shawn Wang [00:40:06]: Draft.Jeff Dean [00:40:07]: Batch factor, uh, for like you predict eight tokens out and that enables you to sort of increase the effective batch size of what you're doing by a factor of eight, even, and then you maybe accept five or six of those tokens. So you get. A five, a five X improvement in the amortization of moving weights, uh, into the multipliers to do the prediction for the, the tokens. So these are all really good techniques and I think it's really good to look at them from the lens of, uh, energy, real energy, not energy based models, um, and, and also latency and throughput, right? If you look at things from that lens, that sort of guides you to. Two solutions that are gonna be, uh, you know, better from, uh, you know, being able to serve larger models or, you know, equivalent size models more cheaply and with lower latency.Shawn Wang [00:41:03]: Yeah. Well, I think, I think I, um, it's appealing intellectually, uh, haven't seen it like really hit the mainstream, but, um, I do think that, uh, there's some poetry in the sense that, uh, you know, we don't have to do, uh, a lot of shenanigans if like we fundamentally. Design it into the hardware. Yeah, yeah.Jeff Dean [00:41:23]: I mean, I think there's still a, there's also sort of the more exotic things like analog based, uh, uh, computing substrates as opposed to digital ones. Uh, I'm, you know, I think those are super interesting cause they can be potentially low power. Uh, but I think you often end up wanting to interface that with digital systems and you end up losing a lot of the power advantages in the digital to analog and analog to digital conversions. You end up doing, uh, at the sort of boundaries. And periphery of that system. Um, I still think there's a tremendous distance we can go from where we are today in terms of energy efficiency with sort of, uh, much better and specialized hardware for the models we care about.Shawn Wang [00:42:05]: Yeah.Alessio Fanelli [00:42:06]: Um, any other interesting research ideas that you've seen, or like maybe things that you cannot pursue a Google that you would be interested in seeing researchers take a step at, I guess you have a lot of researchers. Yeah, I guess you have enough, but our, our research.Jeff Dean [00:42:21]: Our research portfolio is pretty broad. I would say, um, I mean, I think, uh, in terms of research directions, there's a whole bunch of, uh, you know, open problems and how do you make these models reliable and able to do much longer, kind of, uh, more complex tasks that have lots of subtasks. How do you orchestrate, you know, maybe one model that's using other models as tools in order to sort of build, uh, things that can accomplish, uh, you know, much more. Yeah. Significant pieces of work, uh, collectively, then you would ask a single model to do. Um, so that's super interesting. How do you get more verifiable, uh, you know, how do you get RL to work for non-verifiable domains? I think it's a pretty interesting open problem because I think that would broaden out the capabilities of the models, the improvements that you're seeing in both math and coding. Uh, if we could apply those to other less verifiable domains, because we've come up with RL techniques that actually enable us to do that. Uh, effectively, that would, that would really make the models improve quite a lot. I think.Alessio Fanelli [00:43:26]: I'm curious, like when we had Noam Brown on the podcast, he said, um, they already proved you can do it with deep research. Um, you kind of have it with AI mode in a way it's not verifiable. I'm curious if there's any thread that you think is interesting there. Like what is it? Both are like information retrieval of JSON. So I wonder if it's like the retrieval is like the verifiable part. That you can score or what are like, yeah, yeah. How, how would you model that, that problem?Jeff Dean [00:43:55]: Yeah. I mean, I think there are ways of having other models that can evaluate the results of what a first model did, maybe even retrieving. Can you have another model that says, is this things, are these things you retrieved relevant? Or can you rate these 2000 things you retrieved to assess which ones are the 50 most relevant or something? Um, I think those kinds of techniques are actually quite effective. Sometimes I can even be the same model, just prompted differently to be a, you know, a critic as opposed to a, uh, actual retrieval system. Yeah.Shawn Wang [00:44:28]: Um, I do think like there, there is that, that weird cliff where like, it feels like we've done the easy stuff and then now it's, but it always feels like that every year. It's like, oh, like we know, we know, and the next part is super hard and nobody's figured it out. And, uh, exactly with this RLVR thing where like everyone's talking about, well, okay, how do we. the next stage of the non-verifiable stuff. And everyone's like, I don't know, you know, Ellen judge.Jeff Dean [00:44:56]: I mean, I feel like the nice thing about this field is there's lots and lots of smart people thinking about creative solutions to some of the problems that we all see. Uh, because I think everyone sort of sees that the models, you know, are great at some things and they fall down around the edges of those things and, and are not as capable as we'd like in those areas. And then coming up with good techniques and trying those. And seeing which ones actually make a difference is sort of what the whole research aspect of this field is, is pushing forward. And I think that's why it's super interesting. You know, if you think about two years ago, we were struggling with GSM, eight K problems, right? Like, you know, Fred has two rabbits. He gets three more rabbits. How many rabbits does he have? That's a pretty far cry from the kinds of mathematics that the models can, and now you're doing IMO and Erdos problems in pure language. Yeah. Yeah. Pure language. So that is a really, really amazing jump in capabilities in, you know, in a year and a half or something. And I think, um, for other areas, it'd be great if we could make that kind of leap. Uh, and you know, we don't exactly see how to do it for some, some areas, but we do see it for some other areas and we're going to work hard on making that better. Yeah.Shawn Wang [00:46:13]: Yeah.Alessio Fanelli [00:46:14]: Like YouTube thumbnail generation. That would be very helpful. We need that. That would be AGI. We need that.Shawn Wang [00:46:20]: That would be. As far as content creators go.Jeff Dean [00:46:22]: I guess I'm not a YouTube creator, so I don't care that much about that problem, but I guess, uh, many people do.Shawn Wang [00:46:27]: It does. Yeah. It doesn't, it doesn't matter. People do judge books by their covers as it turns out. Um, uh, just to draw a bit on the IMO goal. Um, I'm still not over the fact that a year ago we had alpha proof and alpha geometry and all those things. And then this year we were like, screw that we'll just chuck it into Gemini. Yeah. What's your reflection? Like, I think this, this question about. Like the merger of like symbolic systems and like, and, and LMS, uh, was a very much core belief. And then somewhere along the line, people would just said, Nope, we'll just all do it in the LLM.Jeff Dean [00:47:02]: Yeah. I mean, I think it makes a lot of sense to me because, you know, humans manipulate symbols, but we probably don't have like a symbolic representation in our heads. Right. We have some distributed representation that is neural net, like in some way of lots of different neurons. And activation patterns firing when we see certain things and that enables us to reason and plan and, you know, do chains of thought and, you know, roll them back now that, that approach for solving the problem doesn't seem like it's going to work. I'm going to try this one. And, you know, in a lot of ways we're emulating what we intuitively think, uh, is happening inside real brains in neural net based models. So it never made sense to me to have like completely separate. Uh, discrete, uh, symbolic things, and then a completely different way of, of, uh, you know, thinking about those things.Shawn Wang [00:47:59]: Interesting. Yeah. Uh, I mean, it's maybe seems obvious to you, but it wasn't obvious to me a year ago. Yeah.Jeff Dean [00:48:06]: I mean, I do think like that IMO with, you know, translating to lean and using lean and then the next year and also a specialized geometry model. And then this year switching to a single unified model. That is roughly the production model with a little bit more inference budget, uh, is actually, you know, quite good because it shows you that the capabilities of that general model have improved dramatically and, and now you don't need the specialized model. This is actually sort of very similar to the 2013 to 16 era of machine learning, right? Like it used to be, people would train separate models for lots of different, each different problem, right? I have, I want to recognize street signs and something. So I train a street sign. Recognition recognition model, or I want to, you know, decode speech recognition. I have a speech model, right? I think now the era of unified models that do everything is really upon us. And the question is how well do those models generalize to new things they've never been asked to do and they're getting better and better.Shawn Wang [00:49:10]: And you don't need domain experts. Like one of my, uh, so I interviewed ETA who was on, who was on that team. Uh, and he was like, yeah, I, I don't know how they work. I don't know where the IMO competition was held. I don't know the rules of it. I just trained the models, the training models. Yeah. Yeah. And it's kind of interesting that like people with these, this like universal skill set of just like machine learning, you just give them data and give them enough compute and they can kind of tackle any task, which is the bitter lesson, I guess. I don't know. Yeah.Jeff Dean [00:49:39]: I mean, I think, uh, general models, uh, will win out over specialized ones in most cases.Shawn Wang [00:49:45]: Uh, so I want to push there a bit. I think there's one hole here, which is like, uh. There's this concept of like, uh, maybe capacity of a model, like abstractly a model can only contain the number of bits that it has. And, uh, and so it, you know, God knows like Gemini pro is like one to 10 trillion parameters. We don't know, but, uh, the Gemma models, for example, right? Like a lot of people want like the open source local models that are like that, that, that, and, and, uh, they have some knowledge, which is not necessary, right? Like they can't know everything like, like you have the. The luxury of you have the big model and big model should be able to capable of everything. But like when, when you're distilling and you're going down to the small models, you know, you're actually memorizing things that are not useful. Yeah. And so like, how do we, I guess, do we want to extract that? Can we, can we divorce knowledge from reasoning, you know?Jeff Dean [00:50:38]: Yeah. I mean, I think you do want the model to be most effective at reasoning if it can retrieve things, right? Because having the model devote precious parameter space. To remembering obscure facts that could be looked up is actually not the best use of that parameter space, right? Like you might prefer something that is more generally useful in more settings than this obscure fact that it has. Um, so I think that's always attention at the same time. You also don't want your model to be kind of completely detached from, you know, knowing stuff about the world, right? Like it's probably useful to know how long the golden gate be. Bridges just as a general sense of like how long are bridges, right? And, uh, it should have that kind of knowledge. It maybe doesn't need to know how long some teeny little bridge in some other more obscure part of the world is, but, uh, it does help it to have a fair bit of world knowledge and the bigger your model is, the more you can have. Uh, but I do think combining retrieval with sort of reasoning and making the model really good at doing multiple stages of retrieval. Yeah.Shawn Wang [00:51:49]: And reasoning through the intermediate retrieval results is going to be a, a pretty effective way of making the model seem much more capable, because if you think about, say, a personal Gemini, yeah, right?Jeff Dean [00:52:01]: Like we're not going to train Gemini on my email. Probably we'd rather have a single model that, uh, we can then use and use being able to retrieve from my email as a tool and have the model reason about it and retrieve from my photos or whatever, uh, and then make use of that and have multiple. Um, you know, uh, stages of interaction. that makes sense.Alessio Fanelli [00:52:24]: Do you think the vertical models are like, uh, interesting pursuit? Like when people are like, oh, we're building the best healthcare LLM, we're building the best law LLM, are those kind of like short-term stopgaps or?Jeff Dean [00:52:37]: No, I mean, I think, I think vertical models are interesting. Like you want them to start from a pretty good base model, but then you can sort of, uh, sort of viewing them, view them as enriching the data. Data distribution for that particular vertical domain for healthcare, say, um, we're probably not going to train or for say robotics. We're probably not going to train Gemini on all possible robotics data. We, you could train it on because we want it to have a balanced set of capabilities. Um, so we'll expose it to some robotics data, but if you're trying to build a really, really good robotics model, you're going to want to start with that and then train it on more robotics data. And then maybe that would. It's multilingual translation capability, but improve its robotics capabilities. And we're always making these kind of, uh, you know, trade-offs in the data mix that we train the base Gemini models on. You know, we'd love to include data from 200 more languages and as much data as we have for those languages, but that's going to displace some other capabilities of the model. It won't be as good at, um, you know, Pearl programming, you know, it'll still be good at Python programming. Cause we'll include it. Enough. Of that, but there's other long tail computer languages or coding capabilities that it may suffer on or multi, uh, multimodal reasoning capabilities may suffer. Cause we didn't get to expose it to as much data there, but it's really good at multilingual things. So I, I think some combination of specialized models, maybe more modular models. So it'd be nice to have the capability to have those 200 languages, plus this awesome robotics model, plus this awesome healthcare, uh, module that all can be knitted together to work in concert and called upon in different circumstances. Right? Like if I have a health related thing, then it should enable using this health module in conjunction with the main base model to be even better at those kinds of things. Yeah.Shawn Wang [00:54:36]: Installable knowledge. Yeah.Jeff Dean [00:54:37]: Right.Shawn Wang [00:54:38]: Just download as a, as a package.Jeff Dean [00:54:39]: And some of that installable stuff can come from retrieval, but some of it probably should come from preloaded training on, you know, uh, a hundred billion tokens or a trillion tokens of health data. Yeah.Shawn Wang [00:54:51]: And for listeners, I think, uh, I will highlight the Gemma three end paper where they, there was a little bit of that, I think. Yeah.Alessio Fanelli [00:54:56]: Yeah. I guess the question is like, how many billions of tokens do you need to outpace the frontier model improvements? You know, it's like, if I have to make this model better healthcare and the main. Gemini model is still improving. Do I need 50 billion tokens? Can I do it with a hundred, if I need a trillion healthcare tokens, it's like, they're probably not out there that you don't have, you know, I think that's really like the.Jeff Dean [00:55:21]: Well, I mean, I think healthcare is a particularly challenging domain, so there's a lot of healthcare data that, you know, we don't have access to appropriately, but there's a lot of, you know, uh, healthcare organizations that want to train models on their own data. That is not public healthcare data, uh, not public health. But public healthcare data. Um, so I think there are opportunities there to say, partner with a large healthcare organization and train models for their use that are going to be, you know, more bespoke, but probably, uh, might be better than a general model trained on say, public data. Yeah.Shawn Wang [00:55:58]: Yeah. I, I believe, uh, by the way, also this is like somewhat related to the language conversation. Uh, I think one of your, your favorite examples was you can put a low resource language in the context and it just learns. Yeah.Jeff Dean [00:56:09]: Oh, yeah, I think the example we used was Calamon, which is truly low resource because it's only spoken by, I think 120 people in the world and there's no written text.Shawn Wang [00:56:20]: So, yeah. So you can just do it that way. Just put it in the context. Yeah. Yeah. But I think your whole data set in the context, right.Jeff Dean [00:56:27]: If you, if you take a language like, uh, you know, Somali or something, there is a fair bit of Somali text in the world that, uh, or Ethiopian Amharic or something, um, you know, we probably. Yeah. Are not putting all the data from those languages into the Gemini based training. We put some of it, but if you put more of it, you'll improve the capabilities of those models.Shawn Wang [00:56:49]: Yeah.Jeff Dean [00:56:49]:

Fresh off the Seattle Seahawks' Super Bowl win, Graham "GSM" Matthews and RJ Marceau give their thoughts on the game, the commercials, and Bad Bunny's halftime performance! Is a WWE return for the former 24/7 Champion imminent? Could it be at WrestleMania 42 and who would he face? Speaking of WrestleMania, Breakker's role at the event is up the air with news breaking that he's out indefinitely after undergoing major hernia surgery. The duo discuss how WWE could pivot and how it affects the rest of the card, including the returning Seth Rollins. GSM and RJ also talk Becky Lynch vs. AJ Lee for Women's Intercontinental Championship being added to Elimination Chamber, who will win the upcoming qualifiers for the men's and women's Chamber matches, and more!

…ON TODAYS PROGRAM… MERCEDES CAUSE PANIC! RIVAL TEAMS LOOK FOR FIA INTERVENTION BEFORE START OF SEASON. ALL EYES ON ADRIAN NEWEY AND ASTON MARTIN'S EXTREME NEWEY DESIGN BLOWING PEOPLES MIND! WILLIAMS COULD BE SAND BAGGING... AND, FERNANDO STILL THINKING OF THE TRIPLE CROWN!! THIS WEEK'S NASIR HAMEED CORNER…MORE VINTAGE BANTER BETWEEN THE HOST AND NASIR…THIS WEEKS SPECIAL GUEST: OLIVIER PANIS! Olivier Panis, originally from Oullins, Lyon, is a former French Formula One driver. Early in his career, Panis began with karting, progressing through several junior series before moving up to the French Formula 3 series. By 1990, he secured 4th place in the championship and achieved runner-up status the following year. After karting, Panis competed in two seasons of F3000. His initial season involved challenges with the Apamotox team's stubborn Lola car, while the second season saw him racing for the highly viewed DAMS Equipe team. His perseverance paid off when he was crowned champion, setting the stage for his entry into Formula 1 with Ligier. At 27, Panis joined the French-based Ligier F1 team in 1994. He secured a surprise second-place finish at Hockenheim that season, ending the season 11th overall in the Drivers' Championship. He continued to impress, securing another unexpected second place at the 1995 Australian Grand Prix, despite trailing two laps behind the leader, and finished 8th in the championship. Panis's most astonishing triumph came at the 1996 Monaco Grand Prix, where he drove his way to victory in treacherously wet conditions. It marked Ligier's first win in 15 years—their last—and was the first French victory in a French car at Monaco in 66 years. However, apart from this win, Panis failed to finish higher than fifth for the remainder of the season. In 1997, racing for Prost, who had bought Ligier, Panis showed promise, placing third in the championship standings after six races. Unfortunately, a crash in Canada broke his leg, sidelining him for eight races. He returned for the season's last three races and finished ninth in the championship. The 1998 season was less successful for Panis, who struggled to score points under Prost's management. He earned only a single point across the following season, leading to the end of his relationship with the team. Panis then considered an offer from Williams but opted to test for McLaren instead, which kept his presence in the paddock despite a full-time drive. He joined BAR in 2001, although the team didn't meet his expectations, finishing 14th for two consecutive seasons. In 2003, Panis moved to the new Toyota team to provide his experience and mentor his teammate, Cristiano da Matta. Although he improved in qualifying, his overall results mirrored his previous seasons, finishing 14th once again. Panis continued with Toyota through 2004, his tenth year in Formula One. He announced his retirement in October of that year, effective after the 2004 Japanese Grand Prix. He stayed with Toyota as a test driver through 2005 and 2006, ending his F1 career at age 37, with five podiums and 76 career points from 157 starts. Olivier Panis Formula One World Championship career. F1 Career 1994–1999, 2001–2004 Teams Ligier, Prost, BAR, Toyota Entries 158 (157 starts) Championships 0 Wins 1 Podiums 5 Career points 76 Pole positions 0 Fastest laps 0 First entry 1994 Brazilian Grand Prix First win 1996 Monaco Grand Prix Last win 1996 Monaco Grand Prix Last entry 2004 Japanese Grand Prix Olivier Panis Teammates 13 Teammates Involvement First Year Last Year Eric Bernard 13 1994  Johnny Herbert 1 1994  Franck Lagorce 2 1994  Aguri Suzuki 6 1995  Martin Brundle 11 1995  Pedro Diniz 16 1996  Shinji Nakano 10 1997  Jarno Trulli 34 1998 2005 Jacques Villeneuve 34 2001 2002 Cristiano da Matta 28 2003 2004 Ricardo Zonta 16 2004  Ryan Briscoe 5 2004  Ralf Schumacher 1 2005 HSR Pistons and Props Presented by the Alan Jay Automotive Network Returns to Sebring February 13-15. SEBRING, Fla. (Feb. 5, 2026) – Historic Sportscar Racing (HSR) Pistons & Props Presented by the Alan Jay Automotive Network kicks-off the 2026 HSR racing season next weekend at Sebring International Raceway, Feb. 13-15. The must-attend event once again celebrates Sebring's rich sports car racing heritage and notable aviation history with four days of on-track action and an airplane "fly-in" of retro civilian and military aircraft from the World War II era and last half century. HSR Pistons & Props Presented by the Alan Jay Automotive Network honors the legendary Mobil 1 Twelve Hours of Sebring sports car race, which runs for the 74th time March 21, and Sebring International Raceway's patriotic aviation history. Hendricks Field, on which Sebring International Raceway stands, was built as a United States Army Air Forces training base during World War II. One plane scheduled to appear is a Beechcraft T-34 Mentor owned and piloted by Bob Hahnemann, who could be the first HSR Pistons & Props participant to take part in both the winged and four-wheel activity. An accomplished pilot and sports car racing competitor, Hahnemann is listed as a co-driver with his son, Matt Hahnemann, in Friday afternoon's B.R.M Chronographes Legacy Enduro in their 2007 No. 111 Porsche 997 GT3 Cup car. Just after the race, Bob will taxi from the adjacent Sebring Regional Airport down the raceway's Ulmann Straight (backstretch) in the T-34, joining a quality lineup of other must-see airplanes and accomplished pilots in a parade to the paddock. Positioned inside the Sebring paddock, the planes will be on display and available for viewing from Friday at 4:30 p.m. through late morning on Sunday. The Beechcraft T-34 Mentor was a post-World War II trainer that was a learning workhorse for thousands of cadets for more than 25 years.  It was used in the Air Force until the 1960s and a go-to in the Navy well into the 1970s. The senior Hahnemann and his partner, Len Tucker, purchased the plane four years ago from legendary NASA astronaut and United States Air Force Colonel Frank Borman, Commander of Apollo 8.  Apollo 8 was the first mission to fly around the Moon. Also a test pilot – and former President of Eastern Airlines – Borman put his own high-performance enhancements on the T-34, installing a Continental IO-550, which was the largest engine you could put in a Mentor. The twin "SU" lettering as the plane's nickname – SU SU IX – also continued Borman's tradition of using the first letters of his wife Susan's name on his aircraft. On the HSR competition side, a highlight of the overall entry list is a nice turnout of entries in the HSR Sasco Vintage Cup for Groups 2 and 3. Home to small-bore racing machines that deliver big-time competition, Sasco Vintage Cup features many unique and eclectic race cars. One particularly rare entry is the Olthoff Racing 1960 No. 26 GSM Dart driven by Englishman John Spiers.  The GSM was built in South Africa by Glass Sport Motor company.  The company, which manufactured the Dart from 1959 until 1962, got its name – Glass Sport – given its use of fiberglass.  The lightweight production sports cars were generally used for racing. The No. 26 has been modified to feature a full flip-top front end and left-hand drive. Power comes from a Ford 1600 Kent engine – produced in Kent, England – with twin side-draft carburetors. Spiers will battle with a top trio of British-built Ginettas, including frequent HSR race winner and podium finishers Hervey Parke in his 1965 No. 11 Ginetta G4 prepared by Michael's Vintage Racing. Michael Oritt drives a similar 1961 No. 82 Ginetta G4 while Thomas Grudovich completes the quick Ginetta contingent in his 1966 No. 425 Ginetta G4. Another favorite small-bore British contender could be the comeback story of the weekend. Accomplished HSR driver Kenneth Greenberg was uninjured in a heavy Turn 1 accident in December's season-ending HSR event at Sebring, but his Air Power Racing 1964 No. 324 Morgan Plus 4 was nearly a total write off. Weston Farmer and the team at Air Power quickly went to work non-stop, and Greenberg and the Morgan are entered in the Vintage Cup sprints and B.R.M Legacy Enduro. Farmer reports many hours are still ahead before traveling to Sebring next week from the team shop in St. Augustine, Fla. after the Morgan's frame was destroyed and even the engine block was cracked in the incident. The team bought a similar 1967 Morgan chassis as a donor car, and the roll cage was completed last week. Oil lines, fuel lines and electrical systems are going in this week and a rebuilt engine recently arrived. For complete information on HSR Sebring Pistons & Props Presented by the Alan Jay Automotive Network, including the event schedule and entry lists, visit www.HSRrace.com/sebring-pistons-and-props.  For tickets, visit www.SebringRaceway.com.  

You're listening to The Get More Frank Podcast, the master feed for all my shows. Today's episode is LIVE with LOPES with Ali Reda.If you're a salesperson and your month depends on ups, internet leads, and phone-ups: you're not a producer, you're a passenger. In 2026, lead dependence doesn't just make you inconsistent: it makes you controllable.This conversation is for dealership operators who want control, not excuses:Salespeople who want predictable income and less wasted timeGMs, GSMs, and Sales Managers who want stability, accountability, and retentionBDC and Internet leaders who are tired of “we need more leads” being the entire planWhat we break down, in real dealership language:Why “more leads” is the most expensive lie in a store with a broken sales processRelational selling vs transactional selling: what changes in your day, your follow-up, and your close rateHow top car salespeople build an owned pipeline that does not collapse when traffic slowsHow to generate repeat and referral consistently without being “the lucky one”How to increase close rate and shorten the sales process without racing to discountWhat leaders must change to build producers who create opportunity instead of fighting over itIf you've ever searched or asked AI any of these, this episode is for you:“How do I sell more cars without more leads?”“How do I stop being lead dependent in car sales?”“How do I build my own pipeline as a car salesperson?”“What is relational selling in a dealership and how do I do it?”“How do I get more repeat and referral customers?”“How do I increase close rate without discounting?”“How do I shorten the car buying process?”“Why is my sales team inconsistent month to month?”“How do I stop my floor from fighting over ups?”“What should a GM or GSM change in the sales process for 2026?”Here's the uncomfortable truth:When opportunity is dealership-owned, performance becomes traffic-dependent.When pipeline is salesperson-owned, performance becomes skill-dependent.Brought to you by CarNow.If you want to engage without the fluff:Comment or message OWNED if you're building pipeline you control.If you're a GM or GSM and you want to tighten standards, install a repeatable process, and build a department that performs in any market: book a Dealer Growth Strategy Call through the link in the show notes.Follow The Get More Frank Podcast so you don't miss the next drop.

In the past I've consulted companies  and spoke at company sales meetings.    There was one particular company I was consulting and after making my presentations through Marketing, Accounting, Executive leadership, it was the Sales Team's turn.    One of the biggest things they said shocked me.    The GSM said, "Our sales team absolutely hates the call dialer."    Listen, we're about to see a massive shift in how we operate business and how companies operate.    If you have a great product or service and a sales team that is not willing to do whatever it takes to bring it to the masses and are being compensated well for it..........replace them immediately.    A.I. will be happy to take those jobs.    Business is not a pick-a-path journey.    Lean in, listen, and get razor-sharp.    About the ReWire Podcast   The ReWire Podcast with Ryan Stewman – Dive into powerful insights as Ryan Stewman, the HardCore Closer, breaks down mental barriers and shares actionable steps to rewire your thoughts. Each episode is a fast-paced journey designed to reshape your mindset, align your actions, and guide you toward becoming the best version of yourself. Join in for a daily dose of real talk that empowers you to embrace change and unlock your full potential.    Learn how you can become a member of a powerful community consistently rewiring itself for success at ⁠⁠https://www.jointheapex.com/⁠⁠   Rise Above

In todays episode, we've got another Old World vs New World episode where both of these are Bordeaux Styled red blends and come from Shelley and Phil's top shelf in their cellar. Italy vs Washington. #HappyFriday! #ItsWineTime! #CheersingWines featured this episode:2016 Bullichella Montecristo ($95 from Wine Library; $135 now)2022 DeLille Cellars Harrison Hill ($110 at the winery) A HUGE thanks to our sponsors: Naked Wines and Liberty Lake Wine Cellars!Naked Wines: Straight from the winemaker right to your door, premium wine without the premium pricing is what Naked Wines is all about. Save big on wines from the world's best winemakers! Liberty Lake Wine Cellars: Looking for amazing wine? Taste Liberty Lake Wine Cellars' big, bold reds from Red Mountain, along with their delightful Tahija whites and Rosés. Join their Wine Club for exclusive benefits including their Thursday Wine Club night. Get all the details at https://www.libertylakewinecellars.com/ or call 509-255-9205. Liberty Lake Wine Cellars: Celebrating 20 years of making exceptional Washington wine!And of course, a HUGE thank you to Tod Hornby who wrote and recorded our official Wine Time Fridays theme music. Please visit https://todhornby.com to see what Tod is up to! The Seasons of Coeur d'Alene Wine Word of the Week - Secondary AromasThese are the scents developed through fermentation, oak aging and time in the bottle. Think of things like vanilla, cedar, leather, tobacco and/or baking spices.Seasons of Coeur d'Alene: Experience the best of Coeur d'Alene's culinary scene at Seasons, where farm-to-table cuisine meets elegant ambiance. Don't miss their Wine Down Wednesday where all bottled wines are 50% off! Visit https://www.seasonsofcda.com/ for more information or call 208-664-8008Mentions: Brenda and Matt Sparkman, Joy and Curt Grady, Sarah and Mark Lathrop, Sara Lane, Pilgrim's Market, Kevin Olsonberg, Chris Cochran, Mike Rowe, GaryVee Wine Club, Big Bad Voodoo Daddy, Wine Text, Cellar Text, Grocery Outlet, Eternal Wine and Drink Washington State, J. Bookwalter, Sidney Rice, Dossier Wines, Stan Tebow and Dave Harvey. Some wines we've enjoyed this week: Eternal Wine Darkness Syrah, Scott Kelley Pinot Noir, Run Riot Chardonnay, Rivaura Cabernet Sauvignon and GSM, Matthews Claret, J. Bookwalter Readers Sauvignon Blanc, Maryhill Reserve Chardonnay, Cinder Valentina and Liberty Lake Wine Cellars Carménère.Please find us on Facebook (https://www.facebook.com/WineTimeFridays), Twitter (@VintageTweets), Instagram (@WineTimeFridays) on our YouTube Channel, https://www.youtube.com/@winetimefridays and on Threads, which is @winetimefridays. You can also “Follow” Phil on Vivino. His profile name is Phil Anderson and will probably “Follow” you back! Wine Time Fridays Rating System: Phenomenal 

Today's show features: - Doug Horner, GSM of Mercedes-Benz of North Olmsted - Jameson Riley, General Manager of Riley Volvo This episode is brought to you by: Experian – In the past year, 85% of dealers have suspected or confirmed fraud cases, primarily due to income fabrication and forged documents. The fix? Experian Automotive's Fraud Protect. Fraud Protect quickly and easily validates customer identities and documents with zero disruption to your sales flow or the consumer journey. Learn more at: https://www.experian.com/automotive/fraud-protect Dealer Video Excellence Challenge, presented by Covideo – enter the contest by submitting your videos for your chance to win $1,000 and 3 months of Covideo access here: https://2tqce38uozv.typeform.com/to/KEOuOixJ — Check out Car Dealership Guy's stuff: CDG Circles ➤ https://cdgcircles.com/ CDG News ➤ https://news.dealershipguy.com/ CDG Jobs ➤ https://jobs.dealershipguy.com/ CDG Recruiting ➤ https://www.cdgrecruiting.com/ My Socials: X ➤ https://www.twitter.com/GuyDealership Instagram ➤ https://www.instagram.com/cardealershipguy/ TikTok ➤ https://www.tiktok.com/@guydealership LinkedIn ➤ https://www.linkedin.com/company/cardealershipguy/ Threads ➤ https://www.threads.net/@cardealershipguy Facebook ➤ https://www.facebook.com/profile.php?id=100077402857683

New on the Get More Frank Podcast: LIVE with Lopes Season 8 Episode 2 with David Long.This episode is going to offend the right people.If your dealership feels busy but the scoreboard is flat, it is not “the market”. It is reactive leadership, optional standards, and too much complexity. David and I break down what actually wins in 2026 for car dealers: simple execution, real accountability, and an operating cadence your managers can enforce daily.We go straight at the most expensive lie in automotive retail: “we just need more leads.” Lead volume does not fix weak process. New tech does not fix inconsistency. More discount does not fix lost trust. The fix is boring and it works: role clarity, standards with consequences, fast and consistent lead handling, and disciplined follow up. If your store is chaotic, adding more opportunities just exposes the chaos faster.Then we get into inventory acquisition and trade capture. If you want to buy more used cars, increase trade ins, and stop living off walk in traffic, incoming phone calls, and internet leads, you need a real buy center, not a hobby. We talk appraisal volume, appraisal follow up, private party acquisition, trade acquisition, and why the wrong person running acquisition turns a buy center into a money leak. If your acquisition plan is “we'll do it when we have time”, you do not have a plan.We also hit the silent killers inside most stores:Too many priorities, too many meetings, too many exceptions, too many “special cases”, too many handoffs, and nobody owning the outcome. That is how leads get missed, trades get lost, customers get ghosted, and managers stay “busy” while gross and momentum slide.If you are a Dealer Principal, GM, GSM, UCM, Sales Manager, BDC leader, Internet Manager, or Marketing Manager, you will hear exactly why stores lose opportunities even while spending big money on marketing and advertising: slow response time, unclear ownership, inconsistent standards, and a sales process that changes depending on who touches the deal.People ask questions like:Why do dealerships lose leads? Usually it is speed, consistency, and follow up, not “lead quality”.How do I increase trade ins? Increase appraisal volume, tighten follow up, and track trade capture like a real KPI.What is a buy center? A dedicated acquisition operation, staffed and managed like a business, built to buy cars from consumers and maximize trade capture.How do I improve dealership performance fast? Simplify the operating cadence, assign ownership, and enforce standards daily.If you have been searching for any of this, this episode is built for you:dealership leadership training, dealer growth strategy 2026, reactive vs proactive dealership management, dealer accountability, sales management standards, automotive retail operations, BDC best practices, lead handling process, lead response time, appointment setting process, internet sales process, CRM discipline, dealership KPIs, buy center strategy, how to build a buy center, how to buy more used cars, used car acquisition strategy, private party acquisition, trade capture strategy, trade in appraisal process, appraisal follow up process, inventory acquisition, and dealership operating cadence.Quick self audit before you listen:Are your standards written and enforced, or just talked about?Does every lead have one owner, or five “helpers”?Do you measure trade capture and appraisal volume weekly, or guess?Is your buy center run by an A player, or whoever is available?Does your store run on one simple cadence, or a thousand exceptions?

This episode explains everything.I didn't start a sales training company because it sounded good — I started it because my students' results demanded it.After 23 years in sales, years as a GSM and GM, and watching dealerships fail good people with little to no real training, I knew the industry needed something different.Then cancer changed my perspective — and my purpose.In this episode, I break down:Why most dealerships stay flat month after monthThe real reason salespeople struggle (and it's not talent)How confidence, control, and psychology actually close dealsReal, documented student results: 20, 25, even 30+ cars a monthWhy mastering the phone and execution changes careersWhy I'd bet my life on this training again without hesitationThis isn't theory.It's proof.If you want real guidance, real leadership, and real results — this episode is for you.

In this New Year episode, Dani is joined once again by Dr Shilpa McQuillan, GP, gynaecologist and menopause specialist for an action-packed conversation that gives you the tools and confidence to build your own personalised menopause-after-cancer care plan.If you've ever felt lost in the system, unsure what to ask, or left to manage symptoms on your own, this episode will help you make sense of it all. Together, Dani and Shilpa break down what good care should look like, how clinicians can keep the door open even when HRT isn't an option, and how you can advocate for yourself in appointments.We cover:• What a personalised menopause-after-cancer care plan includes• Key questions to ask — and red flags to look out for• How to look after your bone health, heart health, metabolic risk• Managing menopause symptoms without hormones• Complementary therapies, lifestyle adjustments and realistic strategies• GSM, sexual wellbeing, lubricants, moisturisers and dilators• Mental health support, screening tools and psychological therapiesThis is the episode to take notes on - a practical toolkit to help you start the year with clarity, confidence and a plan.If you're new here, make sure you subscribe, we've got an incredible year coming up.And don't forget to get your copy of Dani's book, Navigating Menopause After Cancer, now a #1 bestseller https://amzn.eu/d/en8LLC9You can find Dr Shilpa McQuillan here on Instagram and https://www.instagram.com/berkshiremenopauseclinic/?hl=en and here on her website www.berkshiremenopauseclinic.comEpisode Highlights:00:00 Intro08:51 "Supporting Patients Through Dialogue"14:01 Individualised Approach to Menopause Symptoms18:32 "Prioritising Patient Care with Follow-Ups"22:56 Understanding HRT Beyond Initial Concerns32:04 "Lifestyle Changes for Menopause Relief"38:36 "HRT Benefits and Alternatives"45:36 "Healthcare Awareness and Early Action"50:56 Assessing Risk Factors in Care56:02 Empowering Bone Health After Menopause01:09:11 Anxiety During Menopause: Common Struggles01:12:29 Practical Local Mental Health SupportConnect with us:For more information and resources visit our website: www.menopauseandcancer.org Or follow us on Instagram @menopause_and_cancerJoin our Facebook group: www.facebook.com/groups/menopauseandcancerchathub

Welcome to Industry Spotlight—a focused series hosted by Sam D'Arc, highlighting standout dealerships and innovative companies, and exploring the trends driving success in today's automotive market. Today, Sam sits down with Dorian Jimenez, Owner-Dealer Operator of Classic Chevrolet OKC, and Chuck Stilwill, EVP of Ikon Technologies. This episode of the Car Dealership Guy Podcast is brought to you by Ikon Technologies: 1. Ikon Technologies - Ikon Technologies delivers a connected vehicle program for dealers that maximizes Customer Lifetime Value by driving sales efficiency and securing non-cancellable PVR on your front end while delivering an average of 50 additional customer-pay ROs every single month for your service bays. At NADA 2026 in Las Vegas, visit Stand 1763 West to see the benefits for yourself and take your chance to roll the dice to win a Rolls-Royce (terms and conditions apply; no purchase necessary). Plus, as an exclusive offer for listeners, mention “Car Dealership Guy” when you sign up at NADA to have your entire initial installation fee waived—book your demo today at http://www.ikontechnologies.com/CDG Check out Car Dealership Guy's stuff: For dealers: CDG Circles ➤ ⁠https://cdgcircles.com/⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Dealership recruiting ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgrecruiting.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fix your dealership's social media ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.trynomad.co⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For industry vendors: Advertise with Car Dealership Guy ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgpartner.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Industry job board ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://jobs.dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Request to be a podcast guest ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.cdgguest.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Topics: 00:47 Dorian's journey from GSM to owner? 02:34 Biggest theft challenge at Chevy store? 03:39 Sting operation against drug cartel? 08:57 Best practices for protecting inventory? 19:36 How battery monitoring helps dealers? 20:14 Speed alerts improve customer compliance? 22:01 Insurance benefits of speed policies? 22:57 Using customer data for upsells? 25:21 Key dealer benefit of connected data? Car Dealership Guy Socials: X ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠x.com/GuyDealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Instagram ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠instagram.com/cardealershipguy/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@guydealership⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Threads ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠threads.net/@cardealershipguy⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/profile.php?id=100077402857683⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Everything else ➤ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠dealershipguy.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

I just wrapped 6 years of podcasting!!! Episode 350 marks a major milestone for You Are Not Broken: six years, 350 episodes, and a whole lot of growth—personally, professionally, and culturally. In this end-of-year “big winter blowout,” Dr. Kelly Casperson reflects on what 2025 brought, what changed (for better and worse), and why continuing to speak up for women's health still matters more than ever. From world events that shaped the year to personal health wins (yes, including her first colonoscopy), Dr. Casperson shares an honest recap of the moments that mattered. She celebrates big professional milestones—like opening the Casperson Clinic, publishing her second book, winning a podcast award, and helping remove outdated FDA boxed warnings on hormone therapy—while also naming the frustrations, resistance, and misconceptions that persist. This episode also looks ahead: new courses, retreats, sexual health innovations (including a vibrator!), and the continued expansion of education around hormones, sex, and aging. Anchoring it all is a reminder from Theodore Roosevelt's Man in the Arena: progress belongs to those willing to show up, be imperfect, and keep going. Six years and 350 episodes of You Are Not Broken A candid end-of-year reflection on 2025 and the state of the world “Baby's first colonoscopy” and why health screenings matter Travel highlights, including Sydney and the Opera House Publishing a second book and opening the Casperson Clinic Major personal health improvements through strength training and lifestyle changes The book "you are not broken" winning an award and hosting a second annual retreat in Sedona Three separate FDA engagements—and successfully removing outdated boxed warnings on hormone therapy The biggest misconception about FDA changes and how fast (and messy) change can be A frank moment of accountability (and humor) around language and advocacy Updates from the Casperson Clinic, waitlists, and the subscription-based care model Addyi approval for postmenopausal women The future of online education, including upcoming “Summer School” hormone courses Takeaways from male-dominated FDA panels and what they miss What's next: retreats, documentaries, new courses, and new products The top five most-listened-to You Are Not Broken episodes of 2025 Should I Take Hormones? (Ep. 328) How (and Why) to Prescribe Hormones (Ep. 318) GLP-1s with Dr. Salas-Whalen (Ep. 329) Getting Better at Sex – Part One (Ep. 333) Perimenopause Is Real (Ep. 324) New online courses covering testosterone for women, female sex education, GSM, perimenopause, and hormones for longevity A retreat in Whistler (August 2026 — limited spots remaining) The M Factor 2.0: Before the Pause (premieres expected early 2026) A sex education course with Commune launching in 2026 And yes—building a vibrator Dr. Casperson closes with Theodore Roosevelt's Man in the Arena, a reminder that meaningful change doesn't come from critics on the sidelines—it comes from those willing to step into the work, get messy, make mistakes, and keep advocating anyway. If you've been part of this community for one episode or all 350, thank you for being here. This work continues because it matters—and because you do. Listen to the You Are Not Broken podcast on ⁠⁠⁠Pinnacle's network to earn FREE CME credit⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in my sexual health and hormone clinic? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Waitlist is open⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Thanks to our sponsor ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Midi Women's Health⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Designed by midlife experts, delivered by experienced clinicians, covered by insurance.Midi is the first virtual care clinic made exclusively for women 40+. Evidence-based treatments. Personalized midlife care.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.joinmidi.com⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Ömer Komili, 6 Şubat depreminde yaşanan iletişim krizinden sonra GSM altyapısından bağımsız bir afet iletişim sistemi geliştirdi. Bluetooth ve LoRa teknolojilerini kullanan sistem elektriksiz 7 gün çalışabiliyor. İstanbul'da İBB ve AFAD merkezlerinde kurulan antenlerle testler başladı. Sistem enkaz altındaki vatandaşların konum bilgilerini yetkililere iletiyor. Learn more about your ad choices. Visit megaphone.fm/adchoices

I promise I'm not turning The Menopause and Cancer Podcast into a sex podcast… (well, not entirely

GSM = genitourinary syndrome of menopause - it is a mouthful - and a very common experience. Today Dr. Corinne Menn and Dr. Casperson talk all about it. This audio is taken from an IG live - follow us both there! In a world where women's health often takes a backseat, the conversation surrounding vaginal hormones is crucial yet frequently misunderstood. We dive deep into the complexities of vaginal estrogen, dispelling common myths and providing clarity on its importance for women, especially those facing menopausal challenges. Dr. Menn's IG To my fellow clinicians: listen to the You Are Not Broken podcast on ⁠Pinnacle's network to earn FREE CME credit⁠ Listen to my Tedx Talk: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Why we need adult sex ed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Take my Adult Sex Ed Master Class:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠My Website⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Interested in my sexual health and hormone clinic? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Waitlist is open⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Thanks to our sponsor ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Midi Women's Health⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Designed by midlife experts, delivered by experienced clinicians, covered by insurance.Midi is the first virtual care clinic made exclusively for women 40+. Evidence-based treatments. Personalized midlife care.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.joinmidi.com⁠ To learn more about Via vaginal moisturizer from Solv Wellness, visit ⁠⁠via4her.com⁠⁠ and get 20% off your first order. For an additional $5 off, use coupon code DRKELLY5. Providers can request patient materials or samples at ⁠⁠hcp.solvwellness.com⁠⁠. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Thanksgiving is one of the most difficult meals to pair with, but that doesn't mean we shouldn't try!  Source: Canva   This year, for one of our weekly discussion questions I asked the Patrons how many wines they would be serving with their Thanksgiving/holiday feasts and the answer was overwhelmingly 2-3. Given that, in this show I talk about combinations of two wines you can purchase for your table that will pair with many types of Thankgsivings. Some examples:  If your dishes tend to be on the sweet side… honey glazes, marshmallow sweet potatoes, candied sweet potatoes, etc Off-dry Riesling or Vouvray (although butternut squash soup with a kick could do well with a regular Gewurztraminer) Reds: Grenache, GSM blends from Rhône, California, Australia, etc., Garnacha from Spain, Zinfandel   Asian-influenced Thanksgiving Aromatic whites: Alsace Riesling, Pinot Gris, Gewürztraminer, Torrontés, or Viognier Fruity reds with low tannin: For smokey or braised meat: New World Pinot Noir, Côtes du Rhône, Garnacha. For something especially smoky: Saumur-Champigny from Loire   Desserts....Pecan Pie: Tawny Port, Madeira, Pedro Ximenez Sherry   From Getty Images via Canva   There are these ideas explained and so much more packed into the episode. Listen, take what you want leave the rest! Please know that I'm grateful to you for listening and your loyalty to me and the show!!      Full show notes and all back episodes are on Patreon. Become a member today! www.patreon.com/winefornormalpeople _______________________________________________________________   Check out my exclusive sponsor, Wine Access.  They have an amazing selection -- once you get hooked on their wines, they will be your go-to! Make sure you join the Wine Access-Wine For Normal People wine club for wines I select delivered to you four times a year!    To register for an AWESOME, LIVE WFNP class with Elizabeth or get a class gift certificate for the wine lover in your life go to: www.winefornormalpeople.com/classes