Podcasts about Love Stories

Romy Holland is a Berkeley mom whose meet-cute happened at a raucous sex party. That night she had sex with dozens of men, one of which would become her husband. In this episode, Romy talks about the party in question, from the sexy aspects to the much more awkward ones. Plus she talks about what new motherhood does to desire, and the unexpected emotional toll of an abortion that didn't go as planned.Read Romy's essay “What Nobody Told Me About Abortion“And we first heard about Romy in the San Francisco Standard's story “When A Gang Bang Becomes a Love Story“ Podcast production by Zoe AzulayDeath, Sex & Money is now produced by Slate! To support us and our colleagues, please sign up for our membership program, Slate Plus! Members get ad-free podcasts, bonus content on lots of Slate shows, and full access to all the articles on Slate.com. Sign up today at slate.com/dsmplus.And if you're new to the show, welcome. We're so glad you're here. Find us and follow us on Instagram and you can find Anna's newsletter at annasale.substack.com. Our new email address, where you can reach us with voice memos, pep talks, questions, critiques, is deathsexmoney@slate.com. Need to set up your Slate Plus feed? If you subscribed through Slate.com, check out our FAQ at slate.com/podcastfaqs for easy instructions. Members subscribed via Apple Podcasts get automatic access—no setup required. Hosted on Acast. See acast.com/privacy for more information.

Romy Holland is a Berkeley mom whose meet-cute happened at a raucous sex party. That night she had sex with dozens of men, one of which would become her husband. In this episode, Romy talks about the party in question, from the sexy aspects to the much more awkward ones. Plus she talks about what new motherhood does to desire, and the unexpected emotional toll of an abortion that didn't go as planned.Read Romy's essay “What Nobody Told Me About Abortion“And we first heard about Romy in the San Francisco Standard's story “When A Gang Bang Becomes a Love Story“ Podcast production by Zoe AzulayDeath, Sex & Money is now produced by Slate! To support us and our colleagues, please sign up for our membership program, Slate Plus! Members get ad-free podcasts, bonus content on lots of Slate shows, and full access to all the articles on Slate.com. Sign up today at slate.com/dsmplus.And if you're new to the show, welcome. We're so glad you're here. Find us and follow us on Instagram and you can find Anna's newsletter at annasale.substack.com. Our new email address, where you can reach us with voice memos, pep talks, questions, critiques, is deathsexmoney@slate.com. Hosted on Acast. See acast.com/privacy for more information.

Romy Holland is a Berkeley mom whose meet-cute happened at a raucous sex party. That night she had sex with dozens of men, one of which would become her husband. In this episode, Romy talks about the party in question, from the sexy aspects to the much more awkward ones. Plus she talks about what new motherhood does to desire, and the unexpected emotional toll of an abortion that didn't go as planned.Read Romy's essay “What Nobody Told Me About Abortion“And we first heard about Romy in the San Francisco Standard's story “When A Gang Bang Becomes a Love Story“ Podcast production by Zoe AzulayDeath, Sex & Money is now produced by Slate! To support us and our colleagues, please sign up for our membership program, Slate Plus! Members get ad-free podcasts, bonus content on lots of Slate shows, and full access to all the articles on Slate.com. Sign up today at slate.com/dsmplus.And if you're new to the show, welcome. We're so glad you're here. Find us and follow us on Instagram and you can find Anna's newsletter at annasale.substack.com. Our new email address, where you can reach us with voice memos, pep talks, questions, critiques, is deathsexmoney@slate.com. Hosted on Acast. See acast.com/privacy for more information.

You’re listening to American Ground Radio with Louis R. Avallone and Stephen Parr. This is the full show for June 1, 2026. We open with a question that sounds simple but goes deeper than you'd expect — why do we accept visible decline? In our public spaces, in our monuments, in our cities. We connect the psychology of personal presentation to the way communities signal what they expect of themselves, explain why Washington D.C. went decades without anyone in power noticing a fountain outside Union Station hadn't worked in 17 years, and give credit where it's due — Interior Secretary Doug Burgum, who says squalor is not a destiny, it is a choice — for the restoration happening across the nation's capital right now. Even in a city where 98% voted for Kamala Harris, people are noticing the fountains are running again. In our Top 3, New Jersey police finally broke up the well-organized, well-funded riots outside the ICE detention center in Newark after Governor Mickey Sherrill instituted a curfew — and once order was restored, ICE was able to resume visitation rights at the facility. Then the frontrunner for the Democrat Senate nomination in Maine is now facing allegations of sending sexually explicit messages to multiple women on a platform known as a predator's paradise — on top of the previously reported SS tattoo — and is still leading in the polls. And the Fifth Circuit Court of Appeals ruled that Texas can enforce its state-level law making illegal entry into Texas a state crime — a significant win for state sovereignty and border security. We revisit the CDL license story — a naturalized Chinese citizen in New York who could not speak or read English was given a commercial driver's license and subsequently killed five people, four of them from the same immigrant family. We ask the hard question — when you relax your standards past the point of logic, people die. And the state of New York failed those people by treating a CDL as a checkbox rather than a safety standard. Our American Mamas Teri Netterville and Kimberly Burleson tackle the great group chat divide — who leaves, who stays, who creates the devastating side chat that accidentally gets sent back to the main group, and why the proper etiquette for exiting a group chat is to announce your departure before the precious baby photo drops and not the second after. We also get into the workplace group chat that becomes a clique engine, and why men with fat thumbs just don't participate. We dig deep into a CBRE study on corporate headquarter relocations covering 2018 through 2024 — and the results could not be clearer. In 2024 alone, California lost 17 corporate headquarters, 12 of them to Texas. Texas gained nearly 50% of all interstate relocations. The number one reason companies gave — by a margin that made every other reason almost irrelevant — was business climate, meaning lower taxes, fewer regulations, and local governments that actually want you there. We connect it to the same reason individuals move from blue states to red states and tie it back to the core argument of our book Bright Spots, Big Country — economic freedom is the engine of everything. We also dig into the Iran situation — where President Trump is continuing negotiations while maintaining military and economic pressure through the Strait of Hormuz blockade. We share our theory that the timeline for final resolution may be connected to the midterm elections, why the next military step would create a humanitarian crisis Trump is trying to avoid, and why the Democrats calling it a quagmire have it exactly backwards. We also cover the Pennsylvania woman now on the FBI's Most Wanted list for faking a terminal cancer diagnosis to swindle friends and family out of $11,000 — and use it as an illustration of what a law and order administration looks like when it sets a tone that no fraud is too small to chase. For our Bright Spot, Target is testing a new employee evaluation system that measures customer interaction — eye contact, greetings, offering assistance, projecting the energy of someone who is actually glad you're there. We call it common sense disguised as innovation and point out the oldest truth in business — what gets measured gets done. We also check in on the Los Angeles mayor's race, where Spencer Pratt is not just competitive against incumbent Karen Bass — he's running what may be the most effective political advertising campaign we've seen, built entirely on common sense ideas and the willingness to acknowledge visible reality. We make the case that in 2026, voters don't care about your resume anymore. They care whether you're willing to tell the truth about what's in front of them. And we close with Ethan Hayes, playing guitar in his backyard, and eight-year-old neighbor Madeline Glenn, who wrote a song request on a piece of paper, folded it into a paper airplane, and tossed it over the fence. Ethan played Love Story. The video went viral. Taylor Swift found out, and sent handwritten letters and signed guitars to both of them. May your pursuit of happiness bring you joy. Listen now wherever you get your podcasts, visit AmericanGroundRadio.com, and join the conversation at 866-AGR-1776!See omnystudio.com/listener for privacy information.

Hope you are ok with us spoiling a 150 year old book/movie thing! Learn more about your ad choices. Visit megaphone.fm/adchoices

I grew up expecting life to move in a predictable progression… 

Fluent Fiction - Danish: Facing Fears and Finding Strength: A Love Story Over Distance Find the full episode transcript, vocabulary words, and more:fluentfiction.com/da/episode/2026-06-01-07-38-19-da Story Transcript:Da: Solen strålende ind gennem vinduerne i Frejas hyggelige lejlighed i København.En: The sun shone brightly through the windows of Freja's cozy apartment in København.Da: Friske blomster prydede bordet, og lysene var klar til at blive tændt.En: Fresh flowers adorned the table, and the candles were ready to be lit.Da: Det var Sankt Hans Aften, og alt virkede perfekt udefra.En: It was Sankt Hans Aften, and everything seemed perfect from the outside.Da: Freja kiggede på skærmen.En: Freja looked at the screen.Da: Snart skulle hun tale med Mads over en videoopkald.En: Soon, she was scheduled to talk with Mads over a video call.Da: Normalt glædede hun sig til disse øjeblikke med ham, men denne gang bar hun en tung hemmelighed.En: Normally, she looked forward to these moments with him, but this time she carried a heavy secret.Da: Hendes læge havde ringet tidligere på ugen med uventede resultater fra nogle rutineprøver.En: Her doctor had called earlier in the week with unexpected results from some routine tests.Da: Selvom lægen sagde, at hun ikke skulle bekymre sig før flere tests, kunne hun ikke slippe den nagende frygt.En: Although the doctor said she shouldn't worry until more tests were done, she couldn't shake the nagging fear.Da: Fra Australien sendte Mads hende en besked, "Klar til Sankt Hans fejring?"En: From Australien, Mads sent her a message, "Ready for Sankt Hans celebration?"Da: Forestillingen om at fortælle ham, kastede skyer på hendes optimisme.En: The thought of telling him cast a shadow over her optimism.Da: Hun besluttede at holde sig sammen, indtil hun kunne se ham.En: She decided to keep it together until she could see him.Da: Timerne sneglede sig afsted.En: The hours crawled by.Da: Freja arrangerede alt for aftenen, men tankerne om testresultaterne gled ustandseligt tilbage.En: Freja arranged everything for the evening, but thoughts of the test results drifted back incessantly.Da: Endelig ringede lyden af indgående videoopkald.En: Finally, the sound of an incoming video call rang out.Da: Skærmen blussede op med Mads' smilende ansigt.En: The screen lit up with Mads' smiling face.Da: "Hej min skat!"En: "Hey, my darling!"Da: sagde Mads.En: said Mads.Da: Bag ham kunne Freja se det australske landskab, lyst og åbent.En: Behind him, Freja could see the Australian landscape, bright and open.Da: "Hej Mads," svarede Freja, hendes stemme var lettere rystende.En: "Hi Mads," replied Freja, her voice slightly shaky.Da: De talte om alt og intet; vejret, deres daglige rutiner, planerne for sommeren.En: They talked about everything and nothing; the weather, their daily routines, summer plans.Da: Men Frejas hjerte bankede hårdt i takt med de usagte ord.En: But Freja's heart pounded hard in rhythm with the unsaid words.Da: Hun kunne ikke bære mere; hendes facade begyndte at smuldre.En: She couldn't bear it any longer; her facade began to crumble.Da: "Mads, der er noget jeg skal fortælle dig," begyndte hun forsigtigt.En: "Mads, there's something I need to tell you," she began cautiously.Da: Han så straks bekymret ud.En: He immediately looked concerned.Da: "Hvad er der?"En: "What is it?"Da: Freja trak vejret dybt.En: Freja took a deep breath.Da: Hun fortalte ham om opkaldene fra lægen, om hendes frygt og tvivl.En: She told him about the calls from the doctor, about her fears and doubts.Da: Mads lyttede stille, og da hun var færdig, sagde han roligt, "Freja, vi skal nok klare det.En: Mads listened quietly, and when she was finished, he calmly said, "Freja, we will get through this.Da: Sammen.En: Together.Da: Jeg er her for dig."En: I am here for you."Da: Hans ord lagde sig som varmt tæppe over hendes bekymringer.En: His words felt like a warm blanket over her worries.Da: Hun kunne for første gang denne uge trække vejret frit.En: For the first time that week, she could breathe freely.Da: Sankt Hans bålet blussede op på skærmen, en skulptur af lys og håb.En: The Sankt Hans bonfire flared up on the screen, a sculpture of light and hope.Da: Freja vidste nu, at det er vigtigt at dele hendes byrder, at styrken ligger i fællesskabet.En: Freja now knew it was important to share her burdens, that strength lies in togetherness.Da: Med lysenes dans i baggrunden, følte hun sig pludselig hjemme med Mads, trods afstanden.En: With the dance of the lights in the background, she suddenly felt at home with Mads, despite the distance.Da: De to, sammen stærkere, spændte over klodens omkreds.En: The two of them, together stronger, spanning across the globe. Vocabulary Words:shone: strålendecozy: hyggeligeadorned: prydedecandles: lysenescheduled: skullesecret: hemmelighedroutine: rutineprøverunexpected: uventedenagging: nagendeconcerned: bekymrettogetherness: fællesskabetlandscape: landskabsmiling: smilendeshaky: rystendepounded: bankedecrumble: smuldreburdens: byrderstrength: styrkenfare: klarthought: tankecautiously: forsigtigtbreathe: trække vejretincoming: indgåendefacade: facadesculpture: skulpturoptimism: optimismeMads: Madsapart: trodsopen: åbentdespite: trods

#forchildrenofallages #thehiddenkingdoms #youtubeshortsatpastordeborah References 1. Audacity, Free Audio Recording Program 2. Pastor Deborah's Own Voice 3. Wondershare, Filmora, Video creating and editing program with free music clips 4. The Authorized King James Bible 5. Pixabay, Free Motion Video Clips 6. Google Free Clip Art 7. Webster's Dictionary 8. Strong's Concordance Scriptures Used 1. Matthew 13 : 15 - 17 - Written by an early follower/disciple of Christ Jesus 2. Genesis 1 : 26 - 28, Written by Moses about God's Words over and for humanity Free Music Clips from Wondershare 1. Romantic Story with You 2. Peace of Mind 3. The Ambient Ocean 4. Chinese Style The Old Memories 5. The Elegy of War 6. Romantic Chinese Style Love Pastor Deborah's global web site of Agape Love, Love is Here is at www.agapeloveishere.org Pastor Deborah Schleich is on X and LinkedIn Pastor Deborah Schleich is on Instagram at pastordeborah4ever Pastor Deborah Schleich is on Spotify at Agape Love Ministries, Setting The Captives Free Pastor Deborah's many Free Podcast Shows of the videos are all on Free Podcast Platforms on the front page of the web site on the left hand side of the page The Hidden Kingdoms Channel has many playlist to look at and YouTube Shorts, Community Posts and YouTube Podcast Shows all for free.

The Trump administration is ramping up its crackdown on diversity, equity and inclusion. Civil rights activist and law professor Kimberlé Crenshaw coined the term "intersectionality," and helped spearhead critical race theory. Her new memoir "Backtalker" traces her own journey growing up in Ohio during the Jim Crow era. She tells Christiane how she was inspired to speak truth to power, and the importance of continuing to do so.   Also on today's show: author Sally Hayden, "This is Also a Love Story"; Northwestern University professor Jeffrey Winters, author of "The Blind Spot: How Oligarchs Dominate Our Democracy"    Learn more about your ad choices. Visit podcastchoices.com/adchoices

What really happened when activists stormed an animal testing facility and removed those beagles. Will they go back for the last remaining dogs? Plus, the mega-watt cast of the red hot series “Love Story.” Why its leading man says he almost gave up acting–right before landing the role. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Raised in a household steeped in integrity, respect, and love, Dr. Andrena Phillips credits her upbringing and the strong leadership modeled by her Marine father and telephone company manager mother for shaping her approach to life. Those early foundations became the fuel for a lifetime of showing up authentically, keeping her word, and encouraging others to live by values that go farther than any resumé line or professional accolade.And Dr. Andrena carried all of that — through a nursing career, through raising three kids as a single mom, through earning her doctorate, through building a business that certifies coaches and develops leaders — into every chapter of her life.She met her late husband in Walmart when she walked up to a tall, bald, hazel-eyed stranger and told him his wife was a lucky woman. He followed her to the hair gel aisle and told her he wasn't married. They were together from that moment on.When he got sick, they had what she calls the "hard truth conversations." He was a military man — practical, prepared, purposeful. He told her two things to hold onto: never question the man above, because He knows our beginning and our ending. And run your race, Andrena, whether I'm here or not, because you had purpose from the very beginning.And so she did. She kept showing up. She kept building her business. She kept dancing — because she and Mr. Phillips used to dance together on social media and people loved it, and dancing still brings him close. From the outside, people saw her and thought, she's fine. But what they didn't see was the therapist, the long walks, the internal work happening behind the scenes. She wasn't fine. She was just getting through and those two things are not the same.Three years later, Dr. Andrena is still doing the deep work and letting it show up in how she leads, how she loves, and how she lives. She's still grieving — she'll tell you straight up that grief has no timeline and no rulebook — and she's also still growing, still coaching, still owning her greatness.Hype Song:Affirmations by Flippa T Affirmations (Radio Edit)Resources:Dr. Andrena's website: https://KeepMovinWithAndrena.comLinkedIn: https://linkedin.com/andrenaphillipsFacebook: https://facebook.com/KeepMovinWithAndrenaInstagram: https://instagram.com/Keep_MovinWithAndrenaTwitter: https://twitter.com/AndrenaKMovinDr. Andrena's book: https://keepmovinwithandrena.com/walkingagain/Invitation from Lori:This episode is sponsored by Zen Rabbit.Smart business leaders know trust is the foundation of every great workplace. And in today's hybrid and fast-moving work culture, trust isn't built in quarterly town halls or the occasional Slack message. It's built through consistent, clear, and HUMAN communication.Companies and leaders TALK about the importance of connection and community. And it's easy to believe your organization is doing a great job of maintaining an awesome corporate culture. Because you've got annual all-hands and open door policies, and “fun" team-building events.But let's be real. Leaders who are serious about building real trust are finding better ways to strengthen culture, create connection, and foster community.That's where I come in. Forward thinking companies are hiring me to produce internal/private podcasts. To bring leadership and employees together through authentic stories, real conversations, and meaningful connections. Think of it as your old-school printed company newsletter - reinvented for the modern workforce. I KNOW, what a cool idea, right?!If you run, work for, or know of a company that wants to upgrade communication, facilitate connections, build community, and maintain culture, let's chat. Message me at Lori@ZenRabbit.com.Because when people feel heard, they engage.

Are you in or around New York City?? Mark your calendars for Monday, June 1st at 6pm!! Come have a drink with ChayaLeah and Yael! Spring Lounge48 Spring St, New York, NY 10012Comment if you plan to attend! Special guests may make an appearance…Good for the Jews is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Thank you so much to everyone who has already filled out the Ask a Jew survey! We are genuinely so grateful for the feedback and reading your comments, suggestions, and extremely passionate opinions has been the highlight of our week.If you haven't filled it out yet, PLEASE DO SO ASAP. The survey is super short, hugely helpful for us as we grow the podcast, and makes us feel important and data-driven.Also: homemade baked goods from ChayaLeah are still on the line.This week on Ask a Jew, we were thrilled to welcome bestselling author and Jewish rom-com queen Jean Meltzer to the podcast.Jean is the author of The Matzah Ball, Mr. Perfect on Paper, and Kissing Kosher. We enjoyed a funny, heartfelt, and surprisingly deep conversation about Jewish identity, chronic illness, love stories, and the very specific chaos of writing unapologetically Jewish characters in modern publishing.We talked about:* How Jean accidentally became one of the biggest names in Jewish romance fiction* Why Jewish representation in books matters (especially when the Jewish character isn't just someone's anxious accountant uncle)* The rise of the Jewish rom-com industrial complex* Chronic illness, vulnerability, and writing from real life* What makes a “Jewish love story” feel distinctly JewishJena is the Founder and CEO of Jewish Joy LLC and of the Jewish Joy Book Club. Find more info at JeanMeltzer.com This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit askajew.substack.com/subscribe

Paul Anthony Kelly talks ‘Love Story,' latest role; Martha Raddatz discusses new book, ‘The Hero Next Door'; Sen. Chris Murphy talks new book, 'Crisis of the Common Good Learn more about your ad choices. Visit podcastchoices.com/adchoices

Paul Anthony Kelly talks ‘Love Story,' latest role; Martha Raddatz discusses new book, ‘The Hero Next Door'; Sen. Chris Murphy talks new book, 'Crisis of the Common Good Learn more about your ad choices. Visit podcastchoices.com/adchoices

On this episode of The Loverly Wedding Podcast, Claudia and Stephen share their journey from decade-long friendship to engagement, including the turning point that brought them together, Stephen's elaborate surprise proposal in Bali, and their plans for an unconventional Philadelphia wedding filled with live music and unforgettable moments.   Follow Claudia on Instagram- ⁠⁠⁠⁠⁠⁠⁠⁠⁠ https://www.instagram.com/clauddworld/   Planning a wedding? It's time to plan smarter with Loverly's free wedding planning platform. From comprehensive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠wedding checklists⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠guest list management⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠vendor manager,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ we've got everything you need to make your special day unforgettable. Let's be friends! Follow us on IG: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@Loverly⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ We're on TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@Loverly⁠⁠

Do you enjoy a good love story?  I know I do!  If I am completely honest, I am a sucker for the Hallmark Channel.  I think many of us would admit that we want a happily ever after. We want someone to desire to be with us and love us unconditionally.   Back in summer of 2017, I read a book called The Story; it is a chronological version of the Bible in one long story. I read it at the same time as I read, The Heart of the Story by Randy Frazee. Did you know that the Bible could be looked at as one good Love Story?  No, it is not cheesy like the Hallmark Channel; instead, it is about a God who desires a relationship with you. He loves you so much that the entire book is about His love story of redemption. I highly recommend reading these books-- it would be a great summer read! I remember in 2017 it took me the whole summer, but it was well worth the time! I hope and pray that these books make the Bible come alive for you again and give you a fresh new perspective on the Bible. Important Links to other Episodes on Studying the Bible: Depth Podcast Episode 115: I share practically how to grow deeper roots and more ways to study God's Word Depth Podcast Episode 210 with Angie Baughman on the 5 Step Bible Study Method-- an amazing way to dive deeper into the Bible! *Note: If you are interested in purchasing this book or the books recommended, I would love for you to use the Amazon Affiliate link above to help support the podcast. Thank you!  

She's not an artist. She's a timeline. Country Taylor. Pop Taylor. Indie Taylor. Villain Taylor. Billionaire Taylor. Every Swiftie is loyal to a different version — and that's exactly what makes this the hardest question in music right now. Cash The Record is back. Vol. 4. And we're going after Taylor Swift. One catalog. One pick. No mercy. "All Too Well" has ten minutes of pure devastation. "Shake It Off" is diamond-certified and inescapable. "Love Story" built an empire. "Cruel Summer" went #1 — four years after it dropped. And "Blank Space"? That's a different conversation entirely. We're not picking your favorite. We're picking the ONE song that defines who she IS — the song that represents the pivot, the shift, the moment Taylor Swift stopped being a subject and became an author. Drop your pick in the comments before I say mine. I read the first wave personally. TIMESTAMPS 00:00 — Cold Open 01:13 — The Rules (watch this before you comment) 02:30 — The Real Problem With Taylor Swift 03:10 — Foundation Era: Love Story vs. You Belong With Me 06:07 — Pop Takeover: Shake It Off vs. Blank Space 07:41 — The Case FOR All Too Well (before we dismantle it) 09:40 — Modern Era: Anti-Hero & Cruel Summer 11:01 — Elimination Round 12:15 — The Verdict 14:00 — Comment Section On Trial 17:00 — Outro + What's Next

Have you ever wondered if the Bible is more than just a collection of ancient stories and moral lessons? What if it's actually the greatest love story ever told, with a sweeping narrative that stretches from a garden to a wedding? In this episode of Seek Go Create, Tim Winders challenges conventional approaches to Scripture, tracing the Bible's epic journey of betrothal, heartbreak, patient pursuit, and ultimate restoration. Join us as we rethink everything you thought you knew about the Bible—and discover how seeing the big picture might change your perspective forever."When you see the whole story, the individual pieces start making sense in ways they never did before." - Tim WindersAccess all show and episode resources HEREEpisode Resources:NT90 Hub – This is the central website for the 90-day New Testament reading plan, with downloadable, printable plans, background information, and links to all episodes and resources.Episode Highlights:00:00 Garden To City Arc 00:59 Series Setup And Challenge 02:41 Big Picture Bible Walkthrough 06:55 Bible As Love Story 07:36 Breaking Verse Hunting Habits 15:30 Marriage Theme Prooftexts 15:58 Sinai Betrothal Contract 19:19 Tabernacle Temple Home 21:47 Unfaithfulness And Patience 24:03 Hosea Living Parable 28:09 Jeremiah Divorce Certificate 31:18 New Covenant Remarriage Promise 32:11 Remarriage Tension 33:32 Gospels Bridegroom Reveal 35:40 Romans Seven Legal Key 37:25 Cross Ends Covenant 39:25 Divorce Finalized 70AD 43:24 Revelation Courtroom Wedding 45:47 From Tips to Story 49:38 Individualism Lens Shift 56:59 Rethinking Sin Death Salvation 58:36 Kingdom Living Now 01:01:16 Read Bible Forward 01:04:13 Wrap Up Next Steps

Theresa is a Jill-of-all-trades in the style scene!  Theresa was a former assistant to Tommy Hilfiger. Today, she is the senior fashion editor for four luxury lifestyle magazines under JWC Media, including Forest & Bluff. She is also a model and actress for Stewart Talent Management Corp. in Chicago. Outside of her career, Theresa has three social media pages: her personal profile, @theresademaria, her digital content creation profile, @theresa.demaria.style, and a French fry review page featuring "ridiculously hot people," @hotguys_withfries. On her style profile, Theresa revealed that she worked with Carolyn Bessette at Calvin Klein, jumping on the Love Story hype train with her own lore. Theresa was also seen on this sessions hit Netflix shot Age of Attraction . https://www.instagram.com/theresa_demaria/  

Fluent Fiction - Norwegian: Dances of Spring: A Love Story Born in the Norwegian Countryside Find the full episode transcript, vocabulary words, and more:fluentfiction.com/no/episode/2026-05-24-07-38-19-no Story Transcript:No: Våren hadde kommet til den norske landsbygda, og med den en ny begynnelse for både Kari og Anders.En: Spring had come to the Norwegian countryside, and with it a new beginning for both Kari and Anders.No: Kari, som nylig hadde flyttet fra byen, lette etter et enklere liv og et sted hun kunne kalle hjem.En: Kari, who had recently moved from the city, was searching for a simpler life and a place she could call home.No: Anders, en lokal bonde, verdsatte tradisjonene og samholdet i landsbyen, men følte at noe manglet i livet hans.En: Anders, a local farmer, valued the traditions and community in the village but felt that something was missing in his life.No: Festivalen for å feire vårens ankomst var i full sving på den sjarmerende gården.En: The festival to celebrate the arrival of spring was in full swing at the charming farm.No: Grønnkledde åser omringet området, og blomster i alle farger var overalt.En: Green-clad hills surrounded the area, and flowers in all colors were everywhere.No: Trærne var pyntet med blomsterkrans og fargerike bånd.En: The trees were adorned with flower wreaths and colorful ribbons.No: En treplatting var satt opp, og lokale musikere spilte gamle folketoner mens folk danset og lo.En: A wooden platform had been set up, and local musicians played old folk tunes while people danced and laughed.No: Kari følte seg litt fremmed blant lokalbefolkningen.En: Kari felt a bit like an outsider among the locals.No: Hun ønsket å passe inn og deltok derfor i festivalforberedelsene.En: She wanted to fit in and therefore participated in the festival preparations.No: Det var hennes sjanse til å bli kjent med de andre og føle seg som en del av samfunnet.En: It was her chance to get to know the others and feel like a part of the community.No: Anders var også der.En: Anders was also there.No: Han hadde alltid vært skeptisk til nykommere, men noe ved Kari gjorde at han villet gi henne en sjanse.En: He had always been skeptical of newcomers, but something about Kari made him want to give her a chance.No: Mens Kari jobbet med å dekorere scener og arrangere aktiviteter, la Anders merke til hennes innsats.En: While Kari worked on decorating stages and organizing activities, Anders noticed her efforts.No: Han bestemte seg for å hjelpe henne.En: He decided to help her.No: Sammen begynte de å øve på en tradisjonell dans som skulle fremføres på festivalen.En: Together, they began to practice a traditional dance that was to be performed at the festival.No: Kari var nervøs, men Anders guidet henne tålmodig.En: Kari was nervous, but Anders patiently guided her.No: Gradvis bygget det seg opp en forbindelse mellom dem som ingen av dem hadde forventet.En: Gradually, a connection formed between them that neither had expected.No: Da festivaldagen kom, var stemningen elektrisk.En: When the festival day came, the atmosphere was electric.No: Kari og Anders danset sammen på scenen.En: Kari and Anders danced together on stage.No: Stegene var enkle, men fulle av energi og glede.En: The steps were simple but full of energy and joy.No: Applausen fra publikum var høy, og det var et magisk øyeblikk for dem begge.En: The applause from the audience was loud, and it was a magical moment for both of them.No: De hadde funnet noe spesielt, noe de ikke hadde skjønt at de manglet før.En: They had found something special, something they hadn't realized was missing before.No: På slutten av kvelden satt Kari og Anders ved siden av den sprakende bålet.En: At the end of the evening, Kari and Anders sat by the crackling fire.No: De så opp mot stjernene, mens varmen fra flammene danset på ansiktene deres.En: They looked up at the stars as the warmth of the flames danced on their faces.No: Ingen ord var nødvendig.En: No words were needed.No: De visste begge at de hadde funnet det de lette etter i hverandre.En: They both knew they had found what they were looking for in each other.No: Kari følte seg endelig hjemme, og Anders hadde åpnet hjertet sitt for nye muligheter og forbindelser.En: Kari finally felt at home, and Anders had opened his heart to new possibilities and connections.No: Festivalens musikk og latter fortsette hele natten.En: The festival's music and laughter continued all night.No: Kari visste at hun nå hørte til blant disse menneskene.En: Kari knew she now belonged among these people.No: Anders innså at forandring ikke alltid betød slutt på det gamle, men en begynnelse til noe enda bedre.En: Anders realized that change didn't always mean the end of the old, but the beginning of something even better.No: De smilte til hverandre, vel vitende om at de hadde en felles fremtid foran seg.En: They smiled at each other, knowing well that they had a shared future ahead. Vocabulary Words:countryside: landsbygdabeginning: begynnelselife: livcommunity: samholdetcharming: sjarmerendehills: åseradorned: pyntetwreaths: blomsterkransribbons: båndplatform: treplattingoutsider: fremmedskeptical: skeptisknewcomers: nykommeredecorate: dekorerenervous: nervøspatiently: tålmodiggradually: gradvisconnection: forbindelsesteps: stegeneapplause: applausenaudience: publikumcrackling: sprakendeflames: flammerpossibilities: muligheterlaughter: latterrealized: innsåchange: forandringshared: fellesfuture: fremtidcelebrate: feire

What killed Kyle Busch? What the new 9-1-1 call reveals about the Nascar legend's final hours and days leading up to his death. Plus, ET's time with the driving legend and the family he's left behind. Then, Stephen Colbert's final show. Sixteen star cameos and one unforgettable night. What you didn't see backstage at his “Late Show” farewell. Plus, a Ricky Martin concert halted by a tear gas attack. The terrifying moment that sent fans fleeing. And, a royal surprise at Taylor & Travis' wedding? Prince William's new reveal. Then, the hunky guy who played JFK Jr. all tatted up. How the “Love Story” team covered up Paul Anthony Kelly's real-life ink. Plus, John Travolta tells the story behind his bold beret look. Our exclusive with the star for his family night out with look-a-like daughter Ella Blue. And, one on one with Pedro Pascal as his “Star Wars” spin-off hits theater. Why he's giving up the title of Internet's boyfriend. Then, Clint & Lisa Hartman Black spill the E-Tea. How they turned their hit duet into a new movie. Plus, we're with “Boston Blue” star, Sonequa Martin-Green ahead of tonight's season finale. How she feels about sharing scenes with her real-life husband. And, how Taylor Swift is poised to make AMA history again. Our sneak peek at Monday's awards with host, Queen Latifah.

Connor Hines is an actor and writer, best known for creating and executive producing LOVE STORY, which became FX's most-watched limited series ever on streaming. He also served as a writer on the upcoming Apple TV limited series WILD THINGS starring Jude Law and Andrew Garfield. His first staff writing job was the Netflix comedy SPACE FORCE created by Steve Carell and Greg Daniels. Since then, he has sold and developed projects across television and film for Netflix, 20th Century Studios, Sony/Columbia Pictures. In this interview, we talk about the success of his YouTube series LOCAL ATTRACTION, the reality of the traditional pilot season, the development and pitching process for LOVE STORY, collaborating with Ryan Murphy, and much more. Want more? Steal my first book, INK BY THE BARREL - SECRETS FROM PROLIFIC WRITERS, right now for free. Simply head over to www.brockswinson.com to get your free digital download and audiobook. If you find value in the book, please share it with a friend, as we're giving away 100,000 copies this year. It's based on over 400 interviews here at Creative Principles. Enjoy! If you enjoy the podcast, would you please consider leaving a short review on Apple Podcasts? It only takes about 60 seconds, and it really helps convince some of the hard-to-get guests to sit down and have a chat (simply scroll to the bottom of your iTunes Podcast app and click “Write Review"). Enjoy the show!

This is THE song from The Life of a Showgirl! It's the album opener, the first single, and the biggest song of Taylor Swift's career! She digs back into her fairytale roots a little bit, while re-imagining a classic Shakespeare tale, just like she did in Love Story. Speaking of "story," Toy Story comes up quite a few times in this episode. What was with that mysterious countdown that disappeared? And the TnT of it all?! Sam is exhausted from but excited about opening up a new cocktail bar in California, and Rachel brings baseball into the conversation when revealing which song she's chosen for the next episode. It's all so good!Share with us your thoughts on today's episode by sending an email to swiftandswigspodcast@gmail.com.​Leave us a written review on the Apple Podcasts app!Follow and rate our podcast on Spotify! Check out our "new shit" playlist on Spotify: ⁠⁠⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/playlist/5LOn9LRJ8lnvnCbpl6fKVG?si=68ca3032d3aa470b⁠⁠⁠⁠⁠⁠⁠⁠⁠

She went from writing for some of the biggest lifestyle brands in media to publishing her very first novel — and it's giving ultimate main character energy.This week, I'm sitting down with Francesca, writer, editor, and now author of Have a Great Summer, a contemporary romance inspired by the Jersey Shore she grew up on. From working at NBC's TODAY and Food Network Magazine to navigating the publishing world, we get into what it really takes to reinvent yourself creatively, write the book you've always dreamed about, and turn nostalgia into a story people can't put down.We're talking summer romance energy, career pivots, writing routines, growing up at the Shore, and why your next chapter might be your best one yet.

Production Designer Alex DiGerlando joins Decorating Pages to discuss the production design of FX's Love Story and Netflix's Black Rabbit.Alex breaks down the sleek 90s-inspired world of Love Story, including Carolyn Bessette's apartment, the Calvin Klein offices, Jackie Kennedy's home, the George magazine offices, real New York locations, period magazines, and the challenge of designing a version of the 90s that feels specific, emotional, and cinematic.Then the conversation moves into Netflix's Black Rabbit, where Alex talks about designing the layered, textured, three-level restaurant set, working with Set Decorator Lydia Marks, using virtual walkthroughs, and creating a New York space filled with history, character, and tension.This episode is a craft-focused deep dive into production design, set decoration, research, restraint, maximalism, and how environments shape story.

Emily Henry was forced to break her silence on the "Not My Gus" casting backlash for Beach Read—and the careful way she refused to defend Patrick Schwarzenegger is telling us everything.Meanwhile, Miles Teller dropped a bomb at Cannes about why he refuses to do any written magazine profiles ever again, and it all traces back to a 2015 Esquire hit piece that called him "kind of a dick". We're unpacking the full context of that profile, how it defined his entire early career, and whether the writer deserves a redemption arc. Here is the horrendously awkward profile piece he is referencing. Then, we're diving deep into Mindy Kaling's jaw-dropping Bustle profile—because the real story isn't what she said, it's what those framed photos on her desk are telling us. Three photos of her kids, plus one strategic selfie with BJ Novak. Plus, we're breaking down her thoughts on motherhood, her weight loss, and whether she's made peace with her fairytale not looking like the rom-coms she grew up obsessing over. Here is Mindy's profile The Spill drops the tea twice a day in this feed so follow us for all the latest entertainment news… OR you can WATCH our show in full length video on the Apple Podcast app - make sure your phone is up to date and enjoy the watch! Link here. THE END BITSNew Mamamia subscribers get $40 off — $20 off an annual membership and $20 off your TWOOBS order. Click here to subscribe.Already a subscriber? Click here for your $20 TWOOBS discount code.T&C's apply. Find and follow us on socials: Instagram: https://www.instagram.com/thespillpodcast/ TikTok: https://www.tiktok.com/@thespillpod Facebook: https://www.facebook.com/thespillpodcast/ Read all the latest entertainment news on Mamamia: https://mamamia.com.au/entertainment/ Support Independent Women’s Media: https://www.mamamia.com.au/subscribe/ Your subscription helps us continue to tell the stories that matter to women. New Mamamia subscribers get $40 off — $20 off an annual membership and $20 off your TWOOBS order. Click here to subscribe.Already a subscriber? Click here for your $20 TWOOBS discount code.T&C's apply. Want to join the conversation? Have feedback or a topic you want us to discuss? Send us a voice message or email us at thespill@mamamia.com.auand we’ll get back to you ASAP! Executive Producer: Monisha Iswaran Audio & Video Producer: Michael Kean Mamamia acknowledges the traditional owners of the land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Episode #357 Hey there!  I'm glad you're here.  If you miss drinking alcohol, you are not the only one.  In this episode, I share what missing drinking in my first year felt like, why the six-month mark is a time to really care for yourself, and what missing drinking alcohol truly is for me. It's not about alcohol. It's about nostalgia and youth more than anything. You'll walk away from this episode knowing you are not alone, that missing alcohol is valid, that you can miss it and stay alcohol-free, and that what you do with that feeling is what matters. Thank you for listening.  Peace.    Mentioned in This Episode:  Drinking a Love Story, by Caroline Knapp   Get Started in Living Alcohol-Free  I offer flexible, personalized packages to help you get started and stay alcohol-free. Working with me is a creative collaboration that gets you clear on where you want to be and how to get there from the very first call. To learn more about working together, email me at hellolori@lorimassicot.com .  I'm easy to talk to and here to help. This is a no pressure email exchange.     Coffee Keeps Me Going If the podcast has supported you and you'd like to support the show, you can buy me a coffee here:

Fluent Fiction - Catalan: Sant Jordi's Secret: From Dreams to a Real Love Story Find the full episode transcript, vocabulary words, and more:fluentfiction.com/ca/episode/2026-05-20-07-38-19-ca Story Transcript:Ca: El sol de primavera brillava amb força a Park Güell.En: The spring sun shone brightly at Park Güell.Ca: Els bancs de trencadís eren plens de flors i gent amb roses.En: The mosaic benches were filled with flowers and people with roses.Ca: Barcelona celebrava Sant Jordi i l'aire era ple de llibres i esperança.En: Barcelona was celebrating Sant Jordi and the air was filled with books and hope.Ca: Marta respirava profundament.En: Marta breathed deeply.Ca: Era el seu dia preferit.En: It was her favorite day.Ca: Marta, amb el seu cor apassionat per la literatura, s'endinsava pels camins del parc.En: Marta, with her heart passionate for literature, wandered through the park's paths.Ca: Portava un llibre per a Oriol, el noi que li robava els pensaments i marcava el seu cor amb il·lusions romàntiques.En: She carried a book for Oriol, the boy who stole her thoughts and marked her heart with romantic illusions.Ca: Guillem, el seu amic de sempre, li havia preguntat si volia que l'acompanyés, però Marta li havia dit que no calia.En: Guillem, her lifelong friend, had asked if she wanted him to accompany her, but Marta had told him it wasn't necessary.Ca: Guillem era un bon amic, sempre fidel, però Marta tenia altres plans.En: Guillem was a good friend, always loyal, but Marta had other plans.Ca: Guillem no es rendia fàcilment.En: Guillem didn't give up easily.Ca: Li importava massa Marta per deixar-la sola en un dia tan especial.En: He cared too much for Marta to leave her alone on such a special day.Ca: Així que, amb una rosa vermella a la mà, va decidir anar al parc també.En: So, with a red rose in his hand, he decided to go to the park as well.Ca: Les seves passes eren determinades, però el seu cor bategava amb nervis.En: His steps were determined, but his heart beat nervously.Ca: Al parc, Marta va esperar.En: At the park, Marta waited.Ca: Va buscar entre les cares per trobar la d'Oriol, però no hi era.En: She searched through the faces to find Oriol's, but he wasn't there.Ca: La gent passava, les hores també.En: People passed by, as did the hours.Ca: I Oriol, sempre encantador però descuidat amb el temps, no apareixia.En: And Oriol, always charming but careless with time, didn't show up.Ca: Just quan Marta començava a sentir la decepció clavar-se-li al pit, Guillem va aparèixer amb un somriure càlid i una flor.En: Just when Marta began to feel disappointment piercing her chest, Guillem appeared with a warm smile and a flower.Ca: "Hola, Marta", va dir amb veu suau, mentre li oferia la rosa.En: "Hello, Marta," he said softly, as he offered her the rose.Ca: Els seus ulls, plens de sinceritat, van tocar el cor de Marta.En: His eyes, full of sincerity, touched Marta's heart.Ca: Mentre feien un passeig pels camins colorits, Marta començava a adonar-se del significat d'aquella rosa.En: As they strolled through the colorful paths, Marta began to realize the meaning of that rose.Ca: Era més que un regal: era un gest de comprensió i d'afecte autèntic.En: It was more than a gift: it was a gesture of understanding and genuine affection.Ca: Quan Oriol va arribar finalment, respirant agitadament i disculpant-se, Marta ja havia pres una decisió.En: When Oriol finally arrived, breathing heavily and apologizing, Marta had already made a decision.Ca: Oriol havia sigut un somni, però Guillem era una realitat preciosa.En: Oriol had been a dream, but Guillem was a beautiful reality.Ca: Amb el soroll de la festa de Sant Jordi al seu voltant, Marta va somriure.En: With the noise of the Sant Jordi festival around her, Marta smiled.Ca: Va agafar la mà de Guillem i, per primera vegada, va veure un futur junts.En: She took Guillem's hand and, for the first time, saw a future together.Ca: Entenia que l'amor, com un llibre ben escrit, necessitava més que passió; necessitava honestedat i temps compartit.En: She understood that love, like a well-written book, needed more than passion; it needed honesty and shared time.Ca: Aquell dia d'abril, Marta no només va trobar amor, sinó també claredat.En: That April day, Marta not only found love but also clarity.Ca: Sabia que, més enllà del romanticisme dels llibres i les expectatives creades, l'amistat i la sinceritat de Guillem eren el que realment desitjava.En: She knew that beyond the romanticism of books and the expectations they created, Guillem's friendship and sincerity were what she truly desired.Ca: I, mirant als seus ulls, va entendre que ja no havia de continuar somiant: tenia el que necessitava al seu costat.En: And, looking into his eyes, she understood that she no longer had to keep dreaming: she had what she needed by her side. Vocabulary Words:the spring: la primaverathe mosaic: el trencadísthe bench: el bancthe path: el camíthe thought: el pensamentthe illusion: la il·lusióthe loyalty: la fidelitatdetermined: determinatthe disappointment: la decepcióto pierce: clavar-sethe sincerity: la sinceritatthe affection: l'afectethe dream: el somnithe reality: la realitatthe clarity: la claredatthe expectation: l'expectativato wander: endinsar-sepassionate: apassionatthe loyalty: la lleialtatto care: importar-secharming: encantadorthe heart: el corapologizing: disculpant-sethe festival: la festathe noise: el sorollto stroll: passejarthe gesture: el gestto realize: adonar-seto breathe: respirarsincere: honest

"Love Story" is an American biographical romantic-drama anthology television series created by Connor Hines and executive produced by Ryan Murphy, Nina Jacobson, Brad Simpson, D.V. DeVincentis, Kim Rosenstock, and Hines. The fifth installment in the "American Story" media franchise, it aired on FX and FX on Hulu in February-March earlier this year. The series, subtitled "John F. Kennedy Jr. & Carolyn Bessette," charts the whirlwind courtship and marriage of John F. Kennedy Jr. and Carolyn Bessette-Kennedy. It received positive reviews for its performances from Paul Anthony Kelly and Sarah Pidgeon as John F. Kennedy Jr. and Carolyn Bessette-Kennedy, respectively. Paul Anthony Kelly was kind enough to spend some time talking with us about his work and experience making the series, which you can listen to below. Please be sure to check out the show, which is now available to stream on Hulu. Thank you, and enjoy! Check out more on NextBestPicture.com Please subscribe on... Apple Podcasts - https://itunes.apple.com/us/podcast/negs-best-film-podcast/id1087678387?mt=2 Spotify - https://open.spotify.com/show/7IMIzpYehTqeUa1d9EC4jT YouTube - https://www.youtube.com/channel/UCWA7KiotcWmHiYYy6wJqwOw And be sure to help support us on Patreon for as little as $1 a month at https://www.patreon.com/NextBestPicture and listen to this podcast ad-free Learn more about your ad choices. Visit megaphone.fm/adchoices

At 48, Bill Hayes moved to New York. He took up photography, and never anticipated the surprise of falling in love with his neighbour, Dr Oliver Sacks,  a neurologist, a naturalist and a university professor. (R)Doctor Oliver Sacks became famous for writing case histories of his patients in books, including The Man Who Mistook his Wife for a Hat, and An Anthropologist on Mars.At 75 years old, Oliver had never been in a relationship, until he fell deeply in love with his neighbour Bill Hayes, who was decades younger than him.Bill and Oliver lived together until Oliver Sacks died in 2015, in his early eighties.Further informationBill's memoir Insomniac City was published in 2017 by Bloomsbury.This conversation was recorded at the 2017 Sydney Writers' Festival.The producer was Nicola Harrison and the Executive Producer was Pam O'Brien.

What if wishing is not just emotional or spiritual, but deeply connected to the way the brain processes possibility, creativity, and change? Amy sits down with storyteller, inventor, and author Brownell Landrum to explore the intersection of neuroscience, intention, leadership, and imagination through the lens of what Brownell calls “the art and science of wishing.” Together they unpack the difference between goals, prayers, and wishes, the role of neuroplasticity and the reticular activating system in shaping awareness, and why peaceful, positive, purposeful intention changes how we experience momentum. The conversation moves through creativity, subconscious resistance, storytelling, workplace leadership, collective vision, and the emotional alignment required to move from longing into action. By the end, what emerges is a grounded reminder: the way we direct our attention shapes not only what we notice, but what becomes possible.Moments That Create Momentum:Why Wishes Need More Than Hope – Explore how neuroscience, ritual, and repetition transform wishing from passive thinking into intentional action and awareness.The Difference Between Goals, Prayers, and Wishes – Understand the emotional space between control, surrender, and collaboration with something larger than yourself.The Brain's Hidden Search Engine – Discover how the reticular activating system begins identifying opportunities, patterns, and solutions once intention becomes clear.Subconscious Resistance and Inner Alignment – See how the disconnect between mind, body, and higher purpose can quietly sabotage forward movement and growth.Creativity as a Leadership Skill – Hear why daydreaming, imagination, and spacious thinking are essential for innovation, vision, and meaningful transformation.Why Shared Vision Creates Momentum – Learn how storytelling and purposeful leadership help people feel emotionally connected to change instead of resistant to it.The “Something Better” Philosophy – Reflect on why unanswered wishes are not always failures, but sometimes invitations toward deeper alignment and possibility.Peaceful, Positive, Purposeful Living – Explore the emotional framework Brownell believes creates more clarity, creativity, collaboration, and forward movement in both work and life.About the Guest:Brownell Landrum is a

On this episode of Fostering Change, Rob Scheer is joined by Christie Werts, a former foster youth, Army veteran, author, and adoptive mother whose life has come full circle through foster care.Christie shares her journey in her book, Life's Sad Story, God's Love Story, tracing a path from childhood trauma and separation to healing, compassion, and building a family of her own.This is an especially emotional conversation for Rob, who reflects openly on the painful experience of his own mother leaving him and his siblings — and the lasting impact that loss has had throughout his life.Together, Rob and Christie explore how childhood trauma shapes identity, how healing can emerge in unexpected ways, and what it means to return to the foster care system — not as a child, but as a parent determined to create something different.At the center of Christie's story is compassion: a decision to foster and later adopt her husband's ex-wife's child in order to keep siblings connected and together.And by the end of the conversation, Christie leaves listeners with a message that becomes the emotional heartbeat of the episode: this is ultimately a love story — about God, healing, and hope.As Christie shares: “There's a love story ahead of you. And it's gonna be ok.”Episode HighlightsChristie's journey from foster youth to foster and adoptive parentThe emotional impact of childhood separation and abandonmentHow trauma and healing can exist side by sideA remarkable decision to keep siblings together through adoptionThe role of faith, compassion, and second chances in rebuilding familyAbout the GuestChristie Werts is a former foster youth, Army veteran, author, speaker, and mother of five whose life has come full circle through foster care and adoption. After experiencing trauma in the system as a child, she later returned to foster care as a parent, ultimately adopting a child connected to her own family.Through her book, Life's Sad Story, God's Love Story, Christie shares a deeply personal journey of resilience, faith, healing, and compassion.Key Questions from This EpisodeWhat inspired you to write Life's Sad Story, God's Love Story?How did your childhood experiences in foster care shape your life?What led you to step back into foster care as a parent?How did the decision to adopt your husband's ex-wife's child come about?What did healing look like for you over time?How have kindness and compassion shaped your family today?What message do you hope listeners take from your story?Connect with Christie

Ils ont formé un duo moins connu, moins iconique mais aussi moins contesté que John et Yoko. Pourtant, l'histoire de Paul et Linda McCartney est tout aussi jolie et fusionnelle. Jusqu'à la mort de Linda, ils ont été inséparables, ils ont fait de la musique ensemble… ils ont été heureux. Un podcast Bababam Originals Ecriture et voix : Alice Deroide Learn more about your ad choices. Visit megaphone.fm/adchoices

Join my free 3-day masterclass, The Consistent Cash Method, starting May 19th-21st at 11 am CST if you're a high-performing woman who wants to have more consistent, higher cash months in your business https://link.shaminataylor.com/consistent-cash-method    In this episode rerun of the Unapologetically Rich Show, Shamina Taylor sits down with the remarkable Natalie Dawson. CEO, empire builder, author, and one of the most quietly powerful women in business today.   At just 32 years old, Natalie runs a company of 350 people, is launching a private equity fund, and has helped 10x her family's net worth from a $155 million exit to well over $500 million.   And she did it all while navigating one of the most misunderstood and underrepresented experiences in business. Being the woman behind and beside a wildly successful man, while building her own undeniable legacy at the same time.   This conversation is raw, real, and full of the kind of truth most people are too afraid to say out loud. Natalie shares how she dropped out of college at 21 with $3,500 in her bank account and a borrowed BMW to go all in on a business nobody believed in.   How she fell in love with a man twice her age and spent years fighting the internal battle of not wanting her success to be attributed to him. And how she ultimately chose alignment over approval and built something extraordinary anyway.   Shamina and Natalie go deep on what it really means to be unapologetically rich. The daily habits, the non-negotiables, the ruthless standards around who gets access to your energy, and why the work you do on yourself will always be the highest return investment you ever make.   In this episode you will discover: How Natalie went from $3,500 and a dropped out of college to running a 350 person company in six years Why she fell in love with a man twice her age and the identity battle she had to fight to own her success fully The daily team meeting that Natalie says is the heartbeat of her entire business and why she will never stop doing it How she uses AI and ChatGPT as her personal mentor and learning tool and exactly how you can do the same Why women are about to hold 30 trillion dollars in wealth by 2030 and what Natalie is doing to make sure women know what to do with it Her definition of rich and why it has nothing to do with a number The non-negotiable standards she holds for the people in her inner circle and why she has ruthlessly cut anyone who does not support her vision What she learned watching her husband hit his biggest financial goal and then feel completely lost and what it taught her about purpose over money Why confidence is not something you are born with but something you build by being honest about what you want and aligning your actions to match   If you have ever felt like you had to choose between being taken seriously and being fully yourself. If you have ever worried that your success would be attributed to someone else. If you have ever played smaller than you should because the people around you were not ready for your next level. This episode is going to light a fire under you.   Access my free training, Breaking The Upper Limits here

“It's the first kiss, it's flawless, really something, it's fearless.” Over on our paid feed on Substack, we''re in our Fearless era (literally), diving deep into Taylor's second album track by track for our After School paid subscribers. We go through all 13 original tracks,  from the sparkly country-pop opening of "Fearless" to the quietly defiant closer "Change,” examining what each song adds to the album, what literary and emotional threads connect them, and how this era set the template Taylor would spend the next eras of her career perfecting. Along the way, we track the evolution of Taylor's fearlessness from a teenager writing on tour buses to the artist who re-recorded her masters and looked the whole industry dead in the eye. Subscribe for free to get episode updates or upgrade to paid to get our After School premium content: aptaylorswift.substack.com/subscribe.  After School subscribers get monthly bonus episodes, exclusive content, and early access to help shape future topics! Stay up to date at aptaylorswift.com This episode is exclusively for our paid subscribers. Thank you for supporting AP Taylor Swift! Mentioned in this episode: Album context, album art, and the “Fearless” era's place in Taylor's discography Track 1: “Fearless”, previously covered in Episode 88: Weather Songs Track 2: “Fifteen”, previously covered in Episode 124: Time & Episode 125: Deep Dive Track 3: “Love Story”, previously covered in Episode 31: Shakespeare & Episode 32 Deep Dive Track 4: “Hey Stephen”, previously covered in Episode 1 “Songs that Made us Swifties” Track 5: “White Horse”, previously covered in Episode 33: Animal Studies and Episode 110: High School Musical Track 6: “You Belong With Me”, previously covered in Episode 98: Unreliable Narrators Track 7: “Breathe” ft. Colbie Caillat Track 8: “Tell Me Why”  Track 9: “You're Not Sorry” Track 10: “The Way I Loved You”, previously covered in Episode 52 Psychoanalytic Theory & Episode 53 Deep Dive Track 11: “Forever & Always” Track 12: “The Best Day”, previously covered in Episode 81: Female Artists Track 13: “Change”, previously covered in Episode 110: High School Musical The purpose of the album as a whole: what Fearless was trying to do when it came out in 2008, and what it means now looking back across the full discography Episode Highlights: [00:00] Welcome to After School — Fearless era begins  [01:11] Fearless as a sophomore album: branding, stakes, and proving it wasn't a fluke  [06:46] Why "Fearless" and not "Love Story": the title as identity [09:00] The album's critical reception and Billboard dominance  [12:14] The Kanye VMAs moment and what it meant for the era  [29:43] Track 1 — "Fearless": dancing in the rain, connective tissue to debut [01:35:44] Track 13 — "Change": ending on a note of inevitability  [01:43:31] What the album is actually about: manifesting fearlessness  [01:46:01] The lesson from Fearless: just do the thing, even badly [01:49:27] Taylor's Version and why she started with Fearless   Follow AP Taylor Swift podcast on social! TikTok → tiktok.com/@APTaylorSwift Instagram → instagram.com/APTaylorSwift YouTube → youtube.com/@APTaylorSwift Link Tree → linktr.ee/aptaylorswift Bookshop.org → bookshop.org/shop/apts Libro.fm → tinyurl.com/aptslibro Contact us at aptaylorswift@gmail.com Affiliate Codes: Krowned Krystals - krownedkrystals.com use code APTS at checkout for 10% off! Libro.fm - Looking for an audiobook? Check out our Libro.fm playlist and use code APTS30 for 30% off books found here tinyurl.com/aptslibro This podcast is neither related to nor endorsed by Taylor Swift, her companies, or record labels. All opinions are our own. Intro music produced by Scott Zadig aka Scotty Z.

This is Part 2 of our interview with Candy Schwartz, who tragically lost her father in a devastating collision at an intersection in Oklahoma. The accident was caused by a commercial truck driver under the influence of methamphetamines. In this episode, Candy also shares her journey of joining VOIDOK.org, a nonprofit organization dedicated to supporting victims. She concludes the podcast with some heartfelt words of wisdom.

It's out 300th episode! So proud to be celebrating this with children's music icon Emma Watkins (also known as Emma Memma) and husband and music guru Oliver Brian.In this episode we chat about life in the wiggles, what kick started their relationship and what they've learnt from performing to kids. We delve into what it was like leaving the Wiggles and going out on her own, their radically honest relationship, navigating stage 4 endometriosis and what is next for the duo.A big thank you to our episode sponsor iL Tutto. iL TuttoInstagram: @iltuttoWebsite: https://www.iltutto.com.au/To receive 20% off on full priced items at iL Tutto until 24 May 2026. Just type in the discount code parent20 at checkout to save. Disclaimer: The discount excludes already discounted items, furniture packs and gift cards. ParenthoodFollow Parenthood on Instagram @parenthoodpodFollow Emma Watkins on Instagram @emmamemmamemma ShareWe'd love it if you could share this episode with a friend! Parenthood Podcast acknowledge the Traditional Custodians of the land on which we work and live, and recognise their continuing connection toland, water and community. We pay respect to Elders past, present and emerging. Hosted on Acast. See acast.com/privacy for more information.

When Beth entered hospice, someone told her something that changed everything: "You are not preparing to die. You are preparing for your wedding."   That single reframe shifted fear into anticipation and loss into longing.   Because the Bible begins with a wedding in the garden…and ends with a wedding feast in eternity. From Genesis to Revelation, Scripture tells one unified story — a love story — where Christ is the Bridegroom and the Church is His Bride. In this episode, we explore what it means to live now as women preparing for that wedding.   Drawing from: Genesis 2 (marriage in the garden) Isaiah 1:18 (white as snow) Ephesians 5 (Christ presenting a radiant bride) 2 Corinthians 5:21 (clothed in righteousness) Revelation 19 & 21 (the wedding supper of the Lamb) 1 John 4:18 (perfect love drives out fear) Isaiah 62 (watchmen on the wall) Matthew 22 & 25 (parables of the wedding feast and the bridegroom) We unpack the profound truth that: You are not tolerated — you are pursued. You are not managing your way to heaven — you are clothed in grace. Love was made visible on the cross. Perfect love drives out fear and shame. When we truly understand that Christ sees us as a groom sees his bride — spotless because of His covering — something shifts. Fear loosens. Striving slows. Shame dissolves. And our lives begin to reflect that reality. This understanding changes how we live: We contend for the faith in daily prayer. We remind God of His promises — not because He forgets, but because we align our hearts with His Word. We devote ourselves to mission — inviting as many people as possible to the coming feast. We stop building our own empires and start building His kingdom. We rest in love instead of striving for approval. This episode is an invitation to step into the bigger story. You are not preparing for an ending. You are preparing for a meeting. And that changes everything. Reflection Questions Where am I still striving to earn love that has already been given? What would it look like to live today as someone preparing for a wedding? Where can I contend in prayer instead of controlling in fear? Who in my life needs an invitation to the feast? As we near the end of Season 3, this episode lifts our eyes beyond the sand, the fire, and the hidden seasons — and reminds us: Love wins. And the story ends in joy. Next week, we close the season with a deeply honest conversation: When You're Tired of Being Strong. Until then — You are seen. You are known. You are deeply loved.   Companion Resources: Listening Guide Full Episode Study Guide 7 Day Companion Scripture Guide Small Group Discussion Guide  

Step into the heart of Osaka's Umeda district and uncover the haunting legend of Tsuyu-no-Tenjinja Shrine, better known as Ohatsu Tenjin. In this Supernatural Japan episode, we explore the shrine's 1,300-year history, its ties to the scholar-deity Sugawara no Michizane, and the tragic 1703 love-suicide of Ohatsu and Tokubei—immortalized in the famous bunraku play Sonezaki Shinju. Blending folklore, history, and ghostly romance, this episode dives into why Ohatsu Tenjin remains one of Japan's most powerful spiritual sites for love, loss, and lingering spirits. Website: supernaturaljapan.com Supernatural Japan locations map: Google Map Get lots of Premium and Exclusive Content and Ad-free Episodes! Premium membership: @patreon  Support on: @BuyMeACoffee Connect with Supernatural Japan: Instagram: @supernaturaljapan Facebook: @SupernaturalJapan BlueSky: @MadForMaple X: @MadForMaple YouTube: @BusanKevin Email: supernaturaljapan@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Not exactly. But their runaway success with games like Wordle says something bigger about the way we live now. (Part one of a series, “We Are All Gamers Now.”)   SOURCES: Alex Hardiman, chief product officer at The New York Times. Jonathan Knight, S.V.P. and general manager for New York Times Games. Eric Zimmerman, game designer, professor of game design at the N.Y.U. Game Center.   RESOURCES: "Wordle Is a Love Story," by Daniel Victor (New York Times, 2022). The Rules We Break: Lessons in Play, Thinking, and Design, by Eric Zimmerman (2022). Thinking Inside the Box: Adventures with Crosswords and the Puzzling People Who Can't Live Without Them, by Adrienne Raphel (2020). The Grasshopper: Games, Life and Utopia, by Bernard Suits (2005). Rules of Play: Game Design Fundamentals, by Katie Salen Tekinbas and Eric Zimmerman (2003). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Special discounts up for AIE Melbourne (LS discount) and AIE World's Fair (group discounts up to 25% - CFPs still open for Autoresearch and Vertical AI) Cya there!Abridge did not start as an “GPT wrapper”. It was founded in 2018, years before the Cambrian explosion of AI application layer companies. OpenAI launched ChatGPT publicly on November 30, 2022 and by then, Abridge had already spent years doing the unglamorous work of building trust for one of the highest context, most important workflows in healthcare: the conversation between a patient and a clinician.Abridge's original wedge was clinical documentation. Listen to the visit, generate the note, reduce the clerical burden, and let clinicians spend more time with patients instead of the EHR. By focusing on how doctors actually document, how health systems actually buy, how EHR integration actually works, how clinicians verify outputs, and how missing context during a visit turns into downstream friction across billing, prior authorization, quality, and follow-up, the adoption of LLMs became a force multiplier on a workflow already optimized for sensitive context gathering.The company has scaled fast: Abridge says it is projected to support 80M+ patient-clinician conversations this year across 250 large and complex U.S. health systems, with support for 28+ languages and 50+ specialties. It raised $300M at a $5.3B valuation in June 2025, after a $250M round earlier that year.Today, Janie Lee and Chaitanya “Chai” Asawa of Abridge join us for another crossover pod with Redpoint's Jacob Effron (who is on the board of Abridge) to dive into how Abridge is building the clinical intelligence layer for healthcare starting with ambient documentation, then expanding into clinical decision support, prior authorization, payer/provider/pharma workflows, and eventually real-time agents that act before, during, and after the patient conversation. We go inside the product, data, infra, evals, workflow, privacy, and org design choices behind bringing AI into one of the highest-stakes enterprise environments from 100M+ medical conversations and specialty-specific evals to real-time alerts, EHR integration, de-identification, clinician-scientist teams, and why healthcare may solve some of the hardest AI problems first.We discuss:* Why Abridge started with clinical documentation, “pajama time,” and saving clinicians 10–20 hours a week* The transition from ambient scribe to clinical intelligence layer: save time, save money, and save lives* Why conversations between patients and clinicians may be the most important workflow in healthcare (patient visit summary feature)* Chai's “healthcare-coded Glean” framing: context is king, but healthcare raises the stakes on safety, evals, and rollout* Why Abridge wants AI to feel like “air conditioning”: always in the background, but only interrupting when it truly matters* The prior authorization example: turning a denied MRI weeks later into real-time guidance while the patient is still in the room* Why payer policies, EHR data, medical literature, and hospital-specific guidelines make the problem hard, and also create the moat* How Abridge thinks about ambient form factors: mobile, desktop, in-room devices, nursing workflows, multimodality, and future AR* The multi-sided healthcare customer: CMIOs, CFOs, CIOs, clinicians, patients, payers, and pharma* The hardest AI problem at Abridge: high-quality, low-latency, low-cost real-time support in a high-stakes clinical setting* When Abridge uses frontier models vs proprietary models, and why its unique data from medical conversations matters* Why “every agent is a coding agent underneath,” and how the EHR can be thought of as a filesystem for healthcare agents* How Abridge approaches personalization across individual doctors, specialties, and health systems* Why “AI slop” is AI without context, and how edits, memories, and clinician preferences create a data flywheel* Abridge's eval stack: LFDs, LLM judges, in-house clinicians, third-party evaluators, specialty-specific evals, and progressive rollout* HIPAA, PHI, de-identification, one-way anonymization, customer contracts, and learning from healthcare data safely* What changes when you operate at 100M+ conversations: reliability, cost, post-training, model routing, and infrastructure optimization* Why the same clinical conversation can serve doctors, patients, payers, pharma, and future clinical-trial workflows* How Abridge works with EHRs, and why deep interoperability is table stakes for clinician adoption* Why healthcare AI has regulatory tailwinds, why 80/20 does not work here, and why high-stakes domains may drive AI forward* Why Abridge embeds “clinician scientists” into product and eval teams* What Chai learned from Glean about search, quality, and durable AI infrastructure* Why the future of AI infra may look like context layers, event-driven systems, Kafka, Temporal, sockets, CRDTs, and tools built for humans* Why Janie changed her mind on “PRDs are dead,” and why crisp written clarity matters more in complex AI products* How Abridge uses Claude Code, Cursor, and coding agents internallyAbridge:* Website: https://www.abridge.com/* X: https://x.com/AbridgeHQJanie Lee:* LinkedIn: https://www.linkedin.com/in/janiejleeChaitanya “Chai” Asawa:* LinkedIn: https://www.linkedin.com/in/casawaTimestamps00:00:00 Introduction and what Abridge does00:02:05 From ambient documentation to clinical intelligence00:04:04 Clinical decision support and context as king00:06:57 Alert fatigue, proactive intelligence, and prior authorization00:12:36 Ambient AI form factors and healthcare customers00:16:59 The hardest AI problems in healthcare00:18:26 Frontier models, proprietary data, and model strategy00:21:07 The EHR as a filesystem for agents00:24:03 Personalization, memory, and clinician preferences00:30:40 Evals, LLM judges, and progressive rollout00:36:47 HIPAA, de-identification, and privacy00:39:21 100M conversations and operating at scale00:44:10 EHR integration and the clinical intelligence layer00:46:39 Healthcare regulation, latency, and high-stakes AI00:50:11 Clinician scientists and long-tail quality00:53:04 Lessons from Glean and durable AI infrastructure00:57:03 The future of agentic healthcare workflows00:57:34 PRDs, product clarity, and building serious AI products01:03:11 AI coding tools at Abridge01:04:06 OutroTranscriptIntroduction: Abridge, Clinical Intelligence, and the Latent Space x Unsupervised Learning CrossoverSwyx [00:00:00]: Okay. This is a special crossover Latent Space Unsupervised Learning pod.Jacob [00:00:07]: Very excited to do this.Jacob [00:00:08]: At this point, we get together once a year.Swyx [00:00:10]: Once a yearJacob [00:00:11]: And this is a fun occasion to get to do it on.Swyx [00:00:13]: I really wanted to talk to Abridge but I felt very underqualified because healthcare is not something we cover very intensely. It just so happens that Redpoint's our big investors and supporters of Abridge.Jacob [00:00:27]: Anytime you want to have a portfolio company on your podcastJacob [00:00:29]: Please, by all means.Swyx [00:00:31]: So we'll introduce our guests. Chai and Janie, welcome to the pod.Janie [00:00:34]: Thanks for having us.Chai [00:00:35]: Thank you.Janie [00:00:35]: We're excited to be here.Chai [00:00:36]: Thank you.Swyx [00:00:36]: So for listeners, what do you guys do, just to situate you guys in the company?Janie [00:00:42]: Abridge is a clinical intelligence layer for health systems. We really started with documentation and building for clinicians and as we think about reducing the burden that clinicians have, they're spending 10 to 20 hours a week on documentation. There's a massive doctor shortage in the country. We also think that conversations between patients and clinicians are probably the most important workflow in healthcare. It's where care is given and received but if you think about the 20% of our GDP that goes towards healthcare, almost everything is a derivative of that conversation, whether it's the claim, the payment, the actual diagnosis given, the treatment. And we've started with a conversation to reduce the burden for doctors on documentation but we're really excited about the path ahead as we become this broader clinical intelligence layer.Chai [00:01:34]: I'm Chai. I work on clinical decision support at Abridge.Swyx [00:01:37]: Yes.Chai [00:01:37]: And so as Janie said, we're uniquely situated where we started off with the clinical note. What I'm really excited about and where we're expanding towards is what are all the things you can do before the conversation, during the conversation and after the conversation if you did have access to all the context about patients, payer guidelines, medical literature and put that together and to serve, how healthcare could look fundamentally different.Swyx [00:02:01]: And that's the context engine that you guys have?Chai [00:02:04]: Yes.Swyx [00:02:04]: Is that what it's called? Okay.Swyx [00:02:05]: So historically, as I understand it, the company started in 2018. A lot of people would be familiar with the AI voice notes form factor that doctors would be “Well, do you consent to being recorded?” It replaces handwriting and what have you. But it sounds like more recently there's been a big transition in the company. Tell me about the broader transition.From Documentation to Clinical Intelligence: Save Time, Save Money, Save LivesJanie [00:02:26]: So from a transition perspective, we really think about our journey as The first act was: how do we help save time? And that's where a lot of that original product was.Swyx [00:02:37]: By the way, one of those interesting statsSwyx [00:02:39]: On your landing page was, doctors spend time after hours.Janie [00:02:43]: They call it pajama time.Swyx [00:02:44]: Why is that pajama time?Janie [00:02:46]: Doctors after work in their pajamasSwyx [00:02:48]: In their pajamas. OhJanie [00:02:49]: At home are just writing and catching up on their notes every day.Janie [00:02:53]: Some of our favorite customer love stories, we have a Slack channel called Love Stories. We have clinicians telling us, “Abridge has helped us, from retiring early or we're now finally able toJanie [00:03:06]: go home and eat dinner with our kids for the first time.”Chai [00:03:08]: Save the marriage in some cases.Swyx [00:03:10]: One of the quotes was “We're not divorcing anymore.”Swyx [00:03:12]: I'm asking, “Why?”Swyx [00:03:14]: Because they're working too much.Janie [00:03:16]: But, in terms of where we're going and where we're expanding, we really think about our second and third acts around how do we help health systems save and make more money. Health systems are operating with record-low operating margins. It's getting harder and harder to serve patients and they have regulatory, some tailwinds but also a lot of headwinds coming their way and AI is ripe for helping on the saving and make-more-money piece. And then ultimately, how do we help save lives? The fact that our software and our product is open millions of times a week before, during and after a patient walks in the room, gives us massive opportunity with products like clinical decision support, which Chai is building but so many others to improve patient outcomes and probably one of the most important workflows and problems to be going after right now.From Glean to Healthcare: Context Is KingJacob [00:04:04]: One thing that's interesting, Chai, is you came over to Abridge from Glean and clinical decision support, which for our listeners is, in the context of a visit, helping a doctor figure out the right type of care. It's really a search problem in many ways, going through lots of different data sources. Very analogous to your previous role as one of the earliest engineers over at Glean. I'm sure a lot of our listeners are curious what's similar about the problems that you're going after now and what feels different, now that you're in healthcare.Chai [00:04:33]: Very similar. Taking a step back, with every wave, there's a lot of very similar patterns that happen across different products. A lot of social networking products look the same. A lot of credit-based products look the same. And we're seeing that very similar in the agent era with many companies, of course, in Redpoint's portfolio and so forth. And the key insight between both companies is that you have amazing models but context is king. Context is what puts them to work. So I see it in a lot of ways, a lot of similarities in this is a healthcare-coded version of Glean but the differences are really interesting. A couple things that come to mind. First and foremost, the rigor of the setting we're in. The downside risk is extremely high here in healthcare. It can be fatal in some cases. You prescribe something that the patient is allergic to for example. Whereas at Glean, it's “Oh, you got the question wrong.” It wasn't the end of the world in most cases. And so what does that mean? That shapes our evaluation strategy, both offline evaluation, progressive rollout and there's a lot more we could go into there. Second thing that comes to mind is, vertical versus horizontal. In both cases, there's a large variance but when Glean is, it's a much more horizontal company, there's a variance of personas, companies that you're working with. We also have a variance of personas, different types of specialties, different hospital systems. But the variance is a little more narrow. So from a product perspective, you're able to focus far more, especially when you have a maturing technology and you're building new products that never existed before. It lets you go after them much more easily and especially in healthcare where so many problems were solved with labor and process, that it's extremely ripe for AI to keep helping augment and enable. And the final thing that's really interesting, Abridge specifically compared to many other companies in the AI area, is the modality we started with where we're ambient and we're always listening in the background. And many more AI products will go that way but it's how we started. And that's the greatest form of AI we can create, AI that's seamless. You're not looking at your screen. It's always there. It's always helping you out and being proactive. The Jarvis vision that, every hackathon I went to over the past decade, there was always a Jarvis competitor. But Abridge very much started from the opportunity and continues to go that way.Ambient AI and Alert Fatigue: When Should the Product Interrupt?Jacob [00:06:57]: One thing that is super interesting then from a product perspective is you have this always-on seamless in the background and then you have to decide when you break the wall almost and say, “Hey, clinician, you might not have thought about X,” or whatever it is that you want to do. And in healthcare traditionally there's been this idea of alert fatigue and a million pop-ups and then a doctor just ignores all of them. It's probably a pattern that a lot of builders are thinking through now. How do you think about the right way to intervene or to pop up in a doctor visit?Janie [00:07:26]: It's such a good question. Alerts are notorious in healthcare specifically. Over 90% of alerts are ignored. The first and most important thing is context is everything, as Chai alluded to and I also think about how do we go from being reactive alerting to really proactive intelligence at the point at which it matters most. One thing we like to say is we want our product to feel like air conditioning. It should be in the background just making things better and if there is something that has great clinical risk and we're acutely aware that intervening now and not later is incredibly important, we should decide to act. But if you think about proactive versus reactive, instead of alerting a clinician during a visit when they're with their patient having a pretty serious and sensitive conversation, how do we prep a clinician before they walk into the room with that patient? And so historically, clinicians might have to manually go through charts with a patient that they've had over the course of months or years and they'll try to suss out what are the things they should be doing. You can imagine a world with Abridge. We'll summarize all of the most recent context for you, tell you based on the reason for a visit the patient is coming in for the types of things you should be discussing. And so you're going into that conversation prepped rather than walking in cold to that patient visit and then having this product interrupt you five or 10 times throughout the visit. And there might be times where it's really important to interrupt. We have a product called Prior Authorization and so this is when you may go into a doctor's office with knee pain. They'll prescribe you an MRI and so many of us have had this experience before, where in four weeks you'll get a call saying, “Hey, Sean, that MRI that you were prescribed wasn't approved and why don't you come back in? We'll figure it out.” In a world with Abridge, we might choose to quietly but still alert a doctor in that visit. And alert is probably not even the word we would want to use. Before a patient leaves, we would want to tell the doctor, “Hey, Doctor, before Sean leaves, you should ask him, has he had physical therapy and has his pain lasted for more than six weeks? Because the Aetna plan that he's on in California requires six things. We've already confirmed four of them have been met ‘cause we have all the context. But these two last criteria, if you can address with Sean before he leaves the room, we could guarantee that your MRI is approved before you leave.” And so when you think about clinical usefulness, impact to the patient, there are instances in which if we can catch a doctor while the patient is still in the room, as we think about save time, save money, save lives, we get to check all of those boxes. But when doctors have 15 minutes between visits, we have to be really thoughtful about when it matters.Prior Authorization: Reducing Latency in CareChai [00:10:23]: There's this interesting product opportunity AI has is reducing latency in the world. For example, prior authorization is an example of where care gets delayed and so great AI can reduce that. And the problem with alerts before partially is a technical problem: the quality of your alerts really matters. They're going to get ignored if you get alerts that... Similarly in engineering, where they're noisy alerts that you can't act on. But if you can make really high-quality alerts with both the context, as Janie said, and really high-quality models, then you can create a whole other game.Janie [00:10:53]: And I really like that experience because it starts to tease apart, what makes this so hard and unique. One, to make that prior authorization example possible, think about all the data that you need to have. You need to integrate with the electronic health record to know all of the patient context. Do we have access to your previous labs, previous imaging? And then to match you and to know that you're on Aetna, we have to collect all of the different payer policies and they vary by state. Some of these payer policies live on websites. Some of them live in unstructured 50-page PDF files.Jacob [00:11:31]: I thought this episode wasJacob [00:11:31]: To make sure we didn't scare people from healthcare.Janie [00:11:34]: But when you think about the things that make it hard, it also gives you the moat.Janie [00:11:39]: And then the second is the AI and the model quality we need to be able to hang our hat on. And so the bar, similarly when I worked at Opendoor, I worked on pricing models. Every outlier wiped out the margins of 30 and so similarly here in healthcare, the bar for accuracy is so high. And then I'd say the last is workflow is everything. If insurance companies deploy AI, it typically happens too late and this is when you have the notorious comical examples of AI just fighting each other when it's too late. But if we can pull forward the use of both the AI but also the ability to solve problems when the patient's in the room, you can start to collapse what typically takes weeks or months after your visit, ideally down to minutes or real-time. And it's where healthcare is both very difficult but also extremely rewarding if you can crack it.Product Form Factors: Mobile, Desktop, In-Room Devices, and ARSwyx [00:12:36]: Just to get some baseline on the form factors, because I've seen some videos on your website and stuff. You guys talk a lot about ambient AI. Is it primarily on the phone? Is there any other form factor that people get Abridge in? Is there an Abridge room setup where it's always on? I don't know.Jacob [00:12:55]: An Abridge podcast studio.Janie [00:12:58]: Primary form factor is mobile and desktop. UsuallyJanie [00:13:00]: Clinicians are walking in and out of rooms with mobile but at the end of the day, when they're closing out their notes or wanting to prep for the day ahead, they might use desktop. We have been having a lot of really interesting partnership conversations with a lot of these in-room device companies as you think about the power of multimodality and even more data, as you think about all of what is not captured today. It is fascinating to think about, especially even as we go into building and scaling our nursing product. It's one where nurses constantly, as they're walking in to check in on a patient for two minutes or maybe even 30 seconds,Janie [00:13:43]: Starting an Abridge experience is probably going to take longer than the visit. And so what can we do with in-room devices that are always on starts to raise really interesting and fun product questions.Swyx [00:13:54]: I was thinking, the way in tech companies we have all these Google MeetSwyx [00:13:58]: And other things, we might as well set up entire rooms with just Abridge tech.Chai [00:14:02]: Very much. AR glasses and related form factors are also relevant: how do we bring the information to the clinician in real-time without a screen, while still letting them focus on the patient?Swyx [00:14:18]: Do you think they want that? I'm skeptical of AR, but I'm curious what you've tried.Chai [00:14:26]: Admittedly, it's not a near-term product roadmapChai [00:14:29]: By any means. I'm being far-fetched.Jacob [00:14:31]: There's some sick AR stuff for surgeries.Swyx [00:14:33]: Really?Jacob [00:14:33]: When people are trying to visualize, you're about to make an incision but you want to see, what the cut might look or what the body might look like inside and they can layer in imaging.Swyx [00:14:43]: That's cool.Chai [00:14:45]: At some point in the future.Janie [00:14:46]: But there are a lot of our largest customers and at the largest health systems integrating already and so even as we think about building into it, unlocks a lot of product capabilities.Swyx [00:14:57]: And just to establish the terminology. Sorry, and I know I'm asking basic questions somewhat for myself but also for the audience who might beHealth Systems, Buyers, Clinicians, Patients, and PayersSwyx [00:15:05]: Less integrated. When you say health systems, it's like the Johns Hopkins, the Kaiser Permanentes.Janie [00:15:09]: Mayos, the Kaisers of the world.Swyx [00:15:10]: These are your customers, right? And the outcome that you deliver for them is happier doctors, reduced cost of processing, reduced mistakes. It's weird in a sense that I feel like there's also, a secondary customer, the customer of the customer and I don't know if you — do you think about it that way?Janie [00:15:28]: The other interesting and complex part of building product is we have our buyers, who are the chief medical information officersJanie [00:15:39]: The chief financial officers, the CIOs of these large health systems. Our users today are clinicians but if you think about who downstream is impacted, it's patients. And so as we build, with every product in mind, we think about who we're building for, who the secondary user is and what does that mean either in terms of experience, security compliance, ROI that we have to make tangible. And so like you said, time savings is one of them. But for CFOs, they care a lot more than just time savings. We have to show for every dollar you put into Abridge, because you have more compliant documentation or because you have fewer queries coming from your billing team, we save or add real dollars to your bottom line or top line, are things that we're constantly thinking about because of the dynamic across all three sets of users.Chai [00:16:32]: There's a whole other axis too with the payers and pharmaChai [00:16:35]: as well. Connecting all these three big stakeholders in healthcare isSwyx [00:16:39]: Do the payers ever see your data? Sorry, the payers meaning the insurers, right?Chai [00:16:44]: Yes.Swyx [00:16:44]: They also see Abridge data?Chai [00:16:47]: NoSwyx [00:16:47]: Like the direct integration to you guysChai [00:16:48]: They wouldn't see the raw Abridge data but when you're working together on something like prior authorization, whatever information they need, we'd communicate to them.Jacob [00:16:59]: That's cool. I would love to dig into the AI side. You still have a lot of problems on the AI side. And so maybe to start at the highest level, what's one of the hardest problems you have to solve in AI at Abridge today?The Hardest AI Problems: Quality, Latency, and CostChai [00:17:11]: To make things simple, let's take, building off the prior auth example. So one thing Janie talked about is okay, this data is all over the place and there's this combinatorial explosion of procedures, payer policies and even sometimes different health systems. There can be some cross-product of all of these different considerations you have to take into account. But what's really hard about this problem is doing it real-time in the conversation. So, in any AI product, usually the three KPIs you care about are quality, latency and cost. Now, what we're saying is we want you to do this real-time in the conversation, guiding the clinician. How do we do it in a way that does not break the bank? But we're using — But we also need very intelligent models because you're working with this cross-product of data and this, all this context layer as well. So you need high intelligence and high-quality because you don't want the alert fatigue but you also need to be fast and cost-effective. And so that's where a lot of clever engineering goes. It's okay, without getting into all the details here, can you model these policies in some intermediate representation or other things that you can do that can make this problem tractable? And of course, the Pareto frontier is always changing but we are also trying to do this now.Model Strategy: Third-Party Models, Proprietary Data, and Medical ConversationsJacob [00:18:26]: What implications has that had for what you take off-the-shelf and say, “ what? We don't need to be world-class at X. We'll just take this from the model providers or from some infrastructure player,” and what you're “No, this is where we spend most of our time focused on”?Chai [00:18:38]: This is, the fun challenge in AI?Jacob [00:18:42]: It changes every three months? SoChai [00:18:42]: Of course, with the shifting landscape, we try to be extremely thoughtful on predicting the trends of where third-party models are going and where we can uniquely go. And, sometimes when you talk about AI models, we're the models are just going to get infinitely better. But I don't think... It may be in the grandness of time you could say that but, within every month, every quarter, there's specific ways they're getting better. They're training on a lot more, coding data to be better coding agents, for example. And soChai [00:19:14]: We have to think about where are the things that won't — unique data that we're uniquely training on or to step back a little, where is a proprietary model bringing advantage to us is if it can give higher quality or lower cost and latency for similar quality, very similar to many other companies. And when we can do that is when we have proprietary data. So, for example, we have on the order of eighty million or hundreds of millions now getting close to of medical conversations.Jacob [00:19:44]: It's insane.Chai [00:19:45]: This is a unique data set. And this data set, it's very interesting because this data set is effectively a large part of the trace between the patient and the provider. That's where the quote-unquote debugging happens in healthcare. We have these traces at scale, as in as, our CEOs even called it, an exhaust that comes out of our product. And so when you have these traces, that's how you can train better agents on certain use cases, whether it's your transcription diarization use cases or so on or like note generation models and we can do that much cheaper and faster. But we're always also working with these third-party model providers. We closely collaborate with them and that's how we predict where the trends are going. The thing that I think about a lot is that, I know that the model providers are going to train much more on agentic workflows and so forth, so that's great, so that you have a better agentic harness. But the other thing that's interesting is that the model providers, because a large class of the consumer model providers is healthcare queries, that they might, optimize to train a lot of healthcare data to encode the knowledge in its weights. And this is just a great thing for us as well, where the off-the-shelf models can keep bett-getting better at general healthcare information, such that what our strategy is, we have a constellation of models, we can use something for this, that and, we only care about, at the end of the day, the best product experience.EHR as File System: Agentic Workflows and Real-Time InterfacesJacob [00:21:07]: And, you have, overall capabilities improving. I'm curious, as these models get better, is there something you look at and you're “, three months ago, we really couldn't do that but God, the the latest models really allow us to do it”?Chai [00:21:19]: So here's something interesting that I've, been toying with. So all models are... This wasn't super obvious a year ago but now it's become clear and clear that almost every agent is a coding agent underneath the hood? So you give it whatever file system, it can write its own code and so forth. So when you think about within healthcare and the use case that we have, you can think of the EHR effectively like a file system. It's just — it's a storage of all this information. It's a lot of information there that cannot fit into the context window, at least of today's models and you want to use that context effectively for all these product use cases we're talking about. And so if you have better agents that can, manipulate data, read that data, treat it as a file system as we see they're going and we know model companies are investing this way, then that very directly benefits us.Swyx [00:22:09]: Yeah. Okay, cool. Again, just establishing basic things. But we're going back to the model stuff. I'm really interested in double-clicking more on the real-time, element, which is pretty important for both of you. Is it — Is real-time just batches of every one minute, every five minutes? Is that how we do it? Or is there some more native, genuinely real-time in the sense that OpenAI has a real-time API or Gemini has a real-time API?Chai [00:22:35]: Yeah. Yeah. So today it is more on the on the batch basis but there's interestingChai [00:22:41]: Prototypes that we have that we're still not fully, full time, voice in text out or in that sense. But, can you trigger your models, your agents or agentic workflows, depending on the right times in the conversation?Chai [00:22:58]: And so you can imagine, different techniques to bring this latency down and, you want to bring the feedback loop down as much as you can. And so a lot of clever engineering there without fully... Maybe one day we'll do full voice in and text out, train a model to do something like that.Swyx [00:23:15]: You do — People don't want voice in voice out?Chai [00:23:18]: Now we aren't creating experiences that are, during the conversation, inter — It's almost likeSwyx [00:23:25]: Might be too disruptiveChai [00:23:26]: Too disruptive until, who knows, maybe eventually you could have full voice agents once we — the quality and we improve the comfort of the technology. But right now gra — that change is much more gradual and it's more text focus, text out.Janie [00:23:42]: And so much of currently what our product is trying to do is allow a clinician to focus on their patient and maybe at some point but right now patients, clinicians don't want a third voice, at least in a literal voice in that room. And so how do we be there with all the contacts and information ready at hand when there's the right moment?Personalization: Individual Doctors, Specialties, and Health SystemsJacob [00:24:03]: Jenny, one thing I'm curious about is how you think about, personalization in the product. I imagine, every doctor is a special snowflake in their own way, has their own way they like to do things. There are probably a bunch of different approaches you could take to doing that, both within the model layer itself but then also just with clever prompting or engineering. How do youJacob [00:24:20]: Deliver on that?Janie [00:24:21]: It's such a good question. Personalization is massive for us. We think about personalization at three levels. The first is at the individual, the second is at the specialty level and then the third is at the health system or the organization level. To your point, there are a lot of individual preferences. You-When a note is produced, it almost is a reflection that is so deeply personal of a doctor's work and how they give care. And so do they have preferences on things like style? They might want bullets versus paragraphs, really concise versus comprehensive. They also might have phrases that they really like to use or the templates that they want every note to be structured. And, we see it in our feedback all the time. We want two spaces in between sentences or I refuse to use this tool. And so that's something that we've had to build in. And the tricky part is how do you make sure that stylistic preferences don't interrupt accuracy and quality and that's something that we've really had to refine and hone over time. Second is at the specialty level. A cardiologist note or workflow is going to look very different from a dermatologist workflow.Jacob [00:25:32]: I assume cardiology notes are the highest stakes for you guys, given your CEO is a cardiologist.Jacob [00:25:36]: It's “Oh my God, make sure we get this one.”Janie [00:25:37]: Shiv, our CEO, is still a practicing cardiologist. He rounds once a month. And so, first call when we want just quick and easy user feedback too.Janie [00:25:46]: But, specialties require a lot of personalization, both in terms of what does the product look and so we make sure that as new users onboard, we catch that and the product proportionally reflects that. But also on the back end, evals at the specialty level, they are hard-earned to calibrate and get. What does a really great dermatology note look like? What makes it complete? What makes it compliant and billable is very different than a primary care doctor. And so it's not just about what does the product experience look but on the back end tuning and really deepening our understanding for the specialists. What does great output look like? And that's, a problem that we need to calibrate internally, externally, online, offline but, takes lots of cycles but is necessary in a high-stakes environment. And then at the health system level, for products like clinical decision support, you have health systems who've spent years or decades refining their best practices and they want to know, “Hey, we love your clinical decision support product but how do we embed our own hospital guidelines into them to inform clinicians before, during or after a visit what brest — best practices should look like?” And as you think about, deepening moats as well, when health systems, trust us with that data, allow us to productize it and directly into the clinical workflow, makes us a really great partner to health systems who want to build something that truly meets their needs, their practicing guidelines.AI Slop, Memory, and Product Data FlywheelsChai [00:27:23]: And I want to add onto that. The for the clinical documentation problem, it's very similar to AI writing that doesn't feel like your own and then we call that slop. But the way I describe one framing of slop is like AI without context. But we have all that context and both the clinicians, can have it and can guide it. And so part of the other interesting exhaust for us is, memory is, one of these new systems recordsChai [00:27:49]: Almost.Janie [00:27:50]: And we also have all the edits people make on our product and when you think about a data flywheel and how we get better over time becomes really powerful as a mechanism to just going deeper in personalization.Jacob [00:28:04]: It's interesting. I love this idea of working with systems on the guidelines they built up over a long time. I feel like so many of the best AI app companies today are... The question is: How do you take the expertise that a law firm or a bank has built up over many years and then add that as context and also a special sauce over, a an AI tool? And so seems like y'all are really doing that very effectively.Janie [00:28:24]: We're now starting to have our customers ask, “What are other customers doing?”Janie [00:28:28]: “And how are they doing it?”Janie [00:28:30]: And as we think about having visibility across such a large set of care being delivered right now, a really interesting place we could also partner.Swyx [00:28:40]: I'm just curious. I — This may be a nothing question but, how different are health system guidelines from each other? Don't they all converge to the same thing? And if not, where do they differ?Chai [00:28:52]: At a really high level, they're going to talk about very similar things but the difference is probably in some more of the details. “Oh, you should refer to specialists only when XYZ conditions are met,” or so forth and maybe different organizations have different practices and guidelines around that. But high level, talking about similar things but the details are what, of course, that shapes the context and the decisions you make.Swyx [00:29:15]: And this all goes into the context engine and it might affect the notes but maybe not.Chai [00:29:21]: The — For these local pathways, we're definitely thinking about it a little more for our clinical decision support product.Chai [00:29:26]: So yeah.Swyx [00:29:27]: Which is your stuff, yeah.Swyx [00:29:28]: And then the memory which you raised, let's just tell us more about that. What have you tried in memory? What's the structure of the memory? What works? What doesn't work?Chai [00:29:38]: There's, of course, many different ways you could do memory, where it's okay, can you bake it into the model weights or can you do it in some external store? For us, what's interesting is, of course, when you think the models are rapidly changing, whether it's in-house or third-party, baking into the model weights, sometimes you worry that it could be a little throwaway. And so, how do you... You need to find a way that you decompose the problem, the preferences from the underlying models and so forth. The thing we're right now most both that's easiest to start with and we're excited about is having, a separate store for memory, where you have, for example, a memory sub-agent that's, working in the background, figuring out what are the important parts of the clinician's actions that we want to remember for the long term. And then you can also imagine, other things where in the — you have background jobs that are running that are collating these, memories similar to Sleep, of course and what other pattern, patterns products do as well. Learning over all these action, all the action data we have, again, note edits, the conversations they did and the actual transcripts.Evals: LFD, LLM Judges, and Clinical SafetyJacob [00:30:40]: What about evals? How in the world do you... It is such a complex product surface area. We would love to hear you riff on that and also how has that evolved? I'm sure you've gotten better at it, so any learnings along the way.Janie [00:30:50]: From an evals perspective, we, from day one when we build any new product or feature, we think about, what does good look like? And there are table stakes things like clinical safety but then you start to get deeper into what does good quality look like. And when you go into something like our core product, there's stuff like style and completeness and there's things like does this note become something that can be billable, which is very high stakes for a health system. We have a number of ways in which we get confidence for this. We have, internal in-house clinicians who do what we call an LFD process to give us our very first pass at is this or isn't this a good enough output, look at the effing data.Jacob [00:31:41]: LFD?Chai [00:31:42]: That's why I was smiling. I was “Is Janie going to mention what it stands for?”Jacob [00:31:46]: I was not... There's like a million acronyms.Jacob [00:31:48]: How am I supposed to know that I don't? So “Oh yeah, of course, an LFD.”Swyx [00:31:51]: I've never heard of LFDs.Chai [00:31:53]: It's a bridge for sure.Janie [00:31:55]: I got through three days and then I had to ask someone.Janie [00:31:58]: I thought it was just me that didn't knowJanie [00:32:01]: It's our internal process.Swyx [00:32:02]: But look at the data as a meme in ML, ‘cause you tend to not look at it. You just want to look at number go up.Chai [00:32:06]: Exactly.Swyx [00:32:07]: But yes.Janie [00:32:08]: But so, we make sure we look at the data and then as we think about all of the components of good output, we, one, create LLM judges across all of these and we make sure with annotated data and either internal or external evaluators, we feel like these judges are calibrated. And then depending on the stakes, we also work with in-house and third-party evaluators across all of these before we ship any big change. And the goal is, in terms of evolution, how do you go from this process taking months, down to weeks, down to days? Some of it is, a true science and ML problem. A lot of it's also just, hard operational work. Have you planned ahead in terms of what you need? Have you really optimized the capacity that you need across all of the different specialties you need? Have you gotten a really good sense of which third parties are great to work with for what use cases? This takes a lot of domain, expertise and, lots of mistakes and errors in figuring that out. And so as much of it is an ML problem, so much of it has also been operational gains that are hugely important, where domain-specific expertise is everything.Specialty-Level Evaluation and Progressive RolloutsJacob [00:33:23]: But it's funny, ‘cause I feel like people talk about healthcare like it's one giant market and the reality isJacob [00:33:26]: It's, dozens and dozens of sub-markets. And so it feels like in your evals you have to build that up across the board, probably.Swyx [00:33:34]: And is specialization the primary cardinality at... That's the word that comes to mind.Janie [00:33:40]: Sometimes, depending on the product or the use case. And so if we're making a note improvement or feature for a particular specialty, definitely but we have products that are for nurses. We have products that, are really aimed at making the document or the output a lot more billable. And so we'll want to work with coding teams and not necessary clinicians. And so likeJacob [00:34:05]: Coding meaning healthcare coding.Janie [00:34:06]: Yes. Yes.Jacob [00:34:07]: NotChai [00:34:07]: Yes. I see you.Swyx [00:34:07]: Other kinds.Janie [00:34:09]: But is this output proportional to the work that was delivered? Is there sufficient documentation to justify the amount that a health system may end up charging? And so, specialty sometimes but also domain, very different across all of the different products that we're working for. And building out that network is, not easy and is where a lot of our operational investments have gone into.Chai [00:34:35]: And I view a lot of analogies to self-driving cars here, where, part of it is we really want progressive rollout of features to test in the real world is this useful? Is this going to work? One big difference compared to past lives is before I'd build a product, maybe I'd alpha it and then I'd like GA it the next week, ‘cause I'm “Go, move fast, ship,” and whatnot. But the mentality is like you... I want to make contact with the reality as quick as possible but I want a progressive rollout. Because as much as I get as large of an offline eval set, I want the distribution of that to match real-life distribution. And over time, by rolling out early, similar to Waymo has a tagline, “The world's most experienced driver,” another thing that can, at least linearly increase for us is, both the size of our evaluation offline and online, that and it all feeds back.Janie [00:35:25]: Something that's been earned over time, speaking of evolution, is just the trust we've gotten with customers. Historically, a lot of these health systems, when they bring on new vendors, their release cycles are quarters, sometimes twice a year. We've gotten our customers onto monthly release cycles, which is pretty fast for health systems but what is more exciting over the last, call it, few quarters, has been, a subset of our customers have said, “We want to innovate with you. We trust you,” and we have a pretty, decent chunk of our customers who say, “We'll develop with you outside of these monthly release cycles. We have a higher tolerance. We know that the stakes are very high but we want to be the first ones using these products, giving you feedback.” And so for a pretty substantial set of our customers, we've been able to convince them to be able to ship, in this gradual way before GA. Something we talk about a lot internally is, trust is earned in drops, earned in buckets and so we still can't do what I used to do when I worked at Loom. We had 30 million users. I'd just be, rolling out experiments left and. The bar is still quite high for iterative rollout but because of the trust we've earned, we're able to learn at pretty high volume very quickly.Privacy, HIPAA, and De-IdentificationSwyx [00:36:45]: Your scale is still pretty huge.Swyx [00:36:47]: One thing I want to... We were going to go into scale? In a sec. One thing I wanted to call up, follow up on evals, which, again, just coming from a generalist engineer point of view, just thinking through what would people be scared of in doing this, the privacy and HIPAAJacob [00:37:00]: Elements of this. I have zero experience in that. What do you have to do? What is surprisingly not that bad?Chai [00:37:06]: So one thing that's really important here from a compliance perspective is very much that any of the data we use needs to be de-identified, any real-world data we use as a basis of online eval sets we're learning from. And so you have to — And there's, very clear, government guidelines, what counts as PHI. And so we've even have built models that can take, for example, a clinical transcript and remove all the key PHI indicators and so you have a scrubbed/de-identified version. And then once you... And so one thing that's important is first you've got to get confidence in that model in the first place? And prove that out. Because, now you have, multiple probabilistic systems on top of each other.Chai [00:37:46]: But once you have that, then you can train on it use it for evaluation and so forth, provided one of the cool things also that you can do from a business side is the right data contracting as well with your partners.Jacob [00:37:57]: Is the anonymization one way? Once it's done, you cannot undo it? Or is there someoneChai [00:38:01]: YesJacob [00:38:02]: Who holds the master key that can... Yeah, okay. So it's one way.Chai [00:38:05]: It's one way. Yeah.Jacob [00:38:06]: That's how it works. I just wanted to... Because, there's a lot of this, learning from feedback and everything that, you would want to debug more but you can't because you just physically don't allow yourself to.Janie [00:38:17]: Some of it's also written in our customer contracts in terms of who can or can't access PHI data, how long do we retain it,Jacob [00:38:27]: Very goodJanie [00:38:27]: Before it gets de-identified. And so we have a pretty high bar for who can access that PHI data, just to make sure that we always respect our customer data and privacy. But that's something that we partner with our customers on too, to make sure that as we want full, as close to precision as possible in that qualityJanie [00:38:48]: We can still use it.Jacob [00:38:50]: But it'll be fascinating to see how that space evolves? Because you think about, I used to work at a company that, did a lot of healthcare data in the cancer space and if you asked, the average cancer patient, “Hey, do you want people, do you want other patients to be able to learn-”Chai [00:39:03]: Take it.Jacob [00:39:03]: “... Learn from your experience?”Chai [00:39:04]: Take it all.Jacob [00:39:05]: They're “Please.”Jacob [00:39:06]: “I'd love, nothing more than for other people to be able to learn fromJacob [00:39:10]: The experience that I had.” And so in the past it was a lot harder to do that learning. But with this technology, that might really be practical and so it'll be fascinating to see how that continues to evolve.Chai [00:39:21]: There's so much in our data set of 100 million conversations.Chai [00:39:26]: You can imagine things like insights that you can give to the clinician. How could you, oh, how could you have reacted to this? In coaching or insights around, which treatments are effective or, like... Because you have this, again, this data source that was never captured before but that's, where, intuition or experience is created from, going back to this idea that the conversation is the agent of truth.Operating at Scale: Reliability, Cost, and Token EfficiencyJacob [00:39:46]: Back to the 100 million conversations, I feel like you have this insane scale that maybe only a few other AI app companies have and everyone else dreams of. So not everyone has had to confront this yet but maybe just talk about some of the challenges of operating at that scale and what, our listeners have to look forward to if they ever get to this level of scale.Chai [00:40:05]: At large and larger in scale, so of course there's a general, infrastructure reliability. When you... In any given startup, you're building the plane while it's flying. So there's some notion of that. But what gets interesting on the AI and ML side for sure is this, as you get at more and more scale, so one, you have the data to first and foremost do this. But, you start thinking about costs or infrastructure in a whole different way at scale versus, a prototype.Chai [00:40:34]: You can use the most expensive model, you can burn as many tokens as you want but when you're doing 100 million conversationsJacob [00:40:41]: Token max on leaderboards are less upsetting than that context.Chai [00:40:45]: . When you're doing that and so that comes for we have the data and we also have the team that's able to post-train based on this and you can optimize for efficiency, especially in areas where you believe that maybe a lot of the quality headroom is less so and you don't expect the other off-the-shelf models to go that way, such that you want to do, efficiency maximization, in terms of compute and tokens.Jacob [00:41:08]: I feel like you guys live in the future in some way where most use cases today are really just in use case discovery mode, where it's “God, I really hope I can find something that can get to scale,” and so you're always going to use the most powerful model. And then the few things that do get to this level of scale, you start to do those optimizations.Chai [00:41:22]: It's a natural trajectory where it's like zero-to-one, we're not talking about any of these optimizations.Chai [00:41:26]: But when maybe we're in the one-to-100 or so forth, then we're in optimization mode and, what works out really well is you've got all this data from zero-to-one that lets you do this.What Comes Next: The Conversation as the Shared Healthcare PlatformJacob [00:41:36]: That's fascinating. I feel like one thing that's so interesting about the Abridge footprint is that you're in the doctor-patient visit in real-time. I always like to say, there's like probably 50 years' worth of product you could build on top of that. What gets each of you, I don't know, what are you most excited about building, either in the short term or medium term or even, long down the line?Janie [00:41:53]: Something that I get really excited about is that the same conversation can serve so many stakeholders. If you think about the conversation, a doctor needs to know what is the documentation, how do I make sure that this fully represent the care I gave? A patient needs to know, “What the heck just happened? This was really overwhelming. What are my next steps?” A payer needs to know, was this the proper and appropriate care given? A pharma company might want to know why isn't this drug being properly used or is there a good candidate for this clinical trial that I'm about to run? And where I get excited is that our product and our platform and our infrastructure can be the same product across all of those things and start to what's today, separate, very expensive, complex systems that serve each one of these stakeholders in very different ways, start to collapse all of that into a singular platform that enables not just more efficiency across the board but also better outcomes for everyone. And, all of us experience healthcare in probably very painful ways and knowing that there is a world in which we can simplify a lot is really exciting to me and it all starts with the conversation.Chai [00:43:15]: It's interesting. Of it very similar to going back to the KPIs that any AI product cares about. How do you increase quality of care? How do you reduce latency to care? And how do you reduce costs? Which is a huge, in healthcareJacob [00:43:28]: They call it the triple aim in healthcare.Chai [00:43:30]: But very similar to building AI products and the thing that really excites me is when we talk about that latency piece, we talked about one example earlier of prior authorization, can you reduce the latency to care? But you can imagine so much more. Oh, as soon as the lab value gets updated, do you have like a background agent that, kicks off and uses all the context to be “Oh, hey, the patient should do this next,” for example. And of flagging that to the clinician who's always in the loop but reducing that latency, to care. And then you can imagine this is much further down the road but it's like even connecting that to the direct patient and the consumer. And so how can you, how can you build a bridge to all of these things?EHR Partnerships and the Clinical Intelligence LayerJacob [00:44:10]: Very cool. The connections piece is just an ever-growing thing. And one of the key partners is the EHR and I wonder what that relationship is like. Will they, look at this as, something that is valuable enough that they want to own someday?Janie [00:44:29]: Our partnerships with the EHR is, we know that we have to be extremely close partners with all the EHRs who we partner with. Being able to not only pull and push all of the data into the right places is, not only table stakes, if we can't do that, health systems don't want to use us. The second and the reality of today is clinicians spend a lot of their days in the EHR. So much of what allowed us to win in the largest health systems was pretty direct and, very close partnerships with some of the largest electronic health records that allowed us to pull and push data with APIs that weren't ready out of the box. And clinicians want to save clicks. Anytime we introduce a new product that, adds two clicks for them in their day, they're “We're not going to use it.”Janie [00:45:21]: They have 15-minute back-to-back appointments with their patients. They're spending, hours during pajama time doing documentation. Every second and every minute counts and so we really think about being deeply integrated into the EHR as also table stakes to getting real usage and adoption. And anything that we build or introduce, we really talk about earn the right internally a lot, which is we have to provide so much value or save so much time that people will use us. But those are the two things that are close to us, is we know that the product won't be used unless it is deeply interoperable.Chai [00:46:01]: And strategically, to your point, it's like what does EHR want to own versus us? EHRs are really focused on the clinical workflows and so forth but some of the things that we're talking about here, I do these traditionally are outside of the domain where it's oh, connecting pairs and providers together with provider policies or the clinical trial matching, as Janie brought up. And so these are, entirely — we position ourselves as building this entirely new intelligence, clinical intelligence layer across, again, providers, pharma and, payers.Chai [00:46:33]: And so that's a it's a whole different ballgame that we try to playChai [00:46:36]: In combination with them.Jacob [00:46:37]: But it's like a different layer of scope.Healthcare AI Regulation, Technical Depth, and What Changed Their MindsJacob [00:46:39]: I'm curious, you are both relatively newcomers to healthcare. People have these, there's lots of futuristic healthcare AI takes of “Oh, everything will look different.”, now that you've been in healthcare for a bit, you live at the edge of AI, what have you, changed your mind on around this, as you think about what healthcare looks like in ten, 20 years? Any updates to your mental model from the time being close to the problems?Chai [00:47:02]: One thing that IChai [00:47:04]: Was hesitant about before and it's a common thing when I'm trying to recruit engineers that people ask me around, is definitely oh, healthcare, heavily regulated space. And it is, rightfully so. You want to keep, the patients at the end of the day safe. But one of the interesting things that, is a that surprised me how much it is coming to the company is there's a lot of really favorable regulatory tailwinds as well. Where you think about, government really wants interoperability between all these systems that we talked about and so agents can access this information. The government just in January, the FDA released updated guidance on clinical decision support, what I work on in such a way that they used to have guidance from like 2022 that required you to have, mention all these options and do all these other things but it's a very forward and forward-looking way. And so for me, what's been really cool to work on is this, there's this very special moment both in AI in general, we all know that but there's a special moment also regulatory in healthcare as well.Janie [00:48:05]: One thing I would call out is for the very reasons things are higher stakes or, potentially considered more difficult in healthcare, it's where some of the hardest AI problems will get solved first, just because the bar is so high. When I first joined, I was “Oh, this is where we'll be on the tail end of where, all of the AI innovation will be able to be applied.” But when you think about, zero error evals or multi-step workflows that have really low tolerance, a lot of the innovation will happen here just because we have to or else we can't ship.Jacob [00:48:42]: ‘Cause like in other domains, you'd much rather just solve the 80%-is-good-enough problems firstJanie [00:48:46]: 80/20 doesn't work hereChai [00:48:48]: And building off that, traditionally, there was a bit of stigma that, oh, healthcare companies are not that interesting from a technical perspective or I've seen that or faced that myself. But these are really hard and fun problems from a pure technical perspective beyond just the impact. How do you bring the latency of this thing down and make it really high-quality?Reducing Latency: Clinical Workflows, Agents, and Implementation RealityJacob [00:49:07]: How do you bring the latency of things down?Chai [00:49:10]: Yeah. Yeah. Yeah. So okay, let's answer the latency question. And maybe hopefully not too redundant with some of the things I've said earlier but some part of it is with any latency, you have to like what is, what is really your bottleneck. In a lot of workflows, it's sometimes it's the model itself. And so that's where like our data flywheel, our post-training team and so forth come in so that can you make the models far more efficient. So that's one aspect of latency. But there's whole other aspects of latency where it's okay, on top of that, if you use a constellation of different models, can you use — can you first use like a — it's like thinking fast and slow. Can you use a cheap, fast model that triages and hands it off to a larger model where you get more intelligence and so forth and so all theseChai [00:49:56]: Clever tricks to make it work.Chai [00:49:58]: And by the way, we are totally — we also realize that the parameter frontier is changing and so these tricks will — may not get us to where we want to be in five years but we need to if we want to build a useful product right now.Jacob [00:50:11]: Should we go to the quick-fire or you want to ask more about Abridge? We can stuff everything that's not Abridge into the quick-fireSwyx [00:50:16]: I don't mind. I was — I feel like Janie was on the topic of more long tail stuff, which isSwyx [00:50:21]: Not the eighty/twenty thing and that really matters. And I'll —, if you have any tips or cool stories or just general approaches that have worked for you that's interesting to dig into.Janie [00:50:32]: One of them is even just how we staff our teams looks different than a traditional software engineering team, I'd say.Swyx [00:50:40]: Let's go.Clinician Scientists, Edge Cases, and Evals at ScaleJanie [00:50:41]: We have a bunch of folks with different roles who are clinicians and so we have this role called the clinician scientist and I heard one of our leaders refer to them as mutants recently. But they are people who've had clinical backgrounds, so MDs typically, who are also deeply technical, somewhere, on the spectrum of like a full stack engineer all the way to like extremely scrappy prompter. But having each of these people embedded within our teams instantly raises the bar for everything that we build because not only are they determining, is this product clinically useful but they're deeply embedded in our whole evals process. And so when we talk about LFDs, when we talk about what is our actual evaluation criteria, you don't want Chai or me creating what those are because we don't have clinical background. But is probably unique to Abridge but has been game changing. And when you think about where the puck is going, you have people build with clinical backgrounds who are technical and where AI tools are going, they just becomeJanie [00:51:53]: More and more, critical and like the killers of the team. And so that's one. And then the second is just the scale at which we do evals to catch that long tail up front before anything ever gets into production is something that we've pretty much like really started to fine-tune, both from a scale but when do we know we need to get several hundred versus several thousand offline responses, what helps us make that quick decision and make this less of an art and as much of a science as possible. But that's also been something we've had to tune over time.Swyx [00:52:27]: And you have partners who opted in to give you those evals.Janie [00:52:31]: So we work either internally or with third-party for offline evals and then we have customers who also agree to give us, whether it's like thumbs up, thumbs down to like choose this or that, a lot of data to get us to what is as close to fully confident as possible.Swyx [00:52:51]: The term that comes to mind isSwyx [00:52:53]: Like active learning on things where you're weak. I feel like it's a lost artSwyx [00:52:58]: Is a lot of the polish that comes into doing something like this.Janie [00:53:02]: Really.Chai [00:53:03]: Hundred percent.Lessons from Glean: Technical Foundations and AI App InfrastructureJacob [00:53:04]: Maybe, on a totally unrelated note, Chai, you had a very, storied run at Glean b

In this raw and deeply moving conversation, Jeff & Jourdan Johnson share their unconventional love story, Jeff's journey with same sex attraction, and the pain of navigating these realities within the church.Together, they open up about grief, identity, marriage, and the ways the church has often failed to create space for honest conversations around sexuality and suffering.If you've ever wrestled with shame, belonging, or holding pain and hope at the same time, this episode is for you.-----------------------------------------Try Amazing+ Free: Access the world's first total ministry strategy from curriculum and technology, to training and resources, free for 30 days here: https://www.joinamazing.com/freetrial

Doris Kearns Goodwin is one of America's best known and most popular historians, having told the stories of great American leaders such as Abraham Lincoln, Lyndon Johnson, Teddy Roosevelt, FDR and Eleanor Roosevelt, and others. Now, she delves into her own life and the time she spent with her late husband, Richard Goodwin, to draw out fresh perspectives on many of the central figures of the 1960s. The Goodwins were married for 42 years. Richard Goodwin helped design LBJ's Great Society and was a close advisor to Robert Kennedy. Dorris Kearns was a 23-year-old graduate student when she was selected as a White House Fellow; she would work directly for President Johnson and later assisted on his memoir. The couple saw the momentous policies and movements of the 1960s from the inside, and they debated the achievements and failures of the leaders they served, and discussed just how much progress was made and promises left unfulfilled. Drawing on their lives—not to mention more than 300 boxes of letters, diaries, documents and memorabilia Richard Goodwin had saved for more than five decades—Doris Kearns Goodwin produced her latest book, An Unfinished Love Story. The exploration of those boxes and her shared history with her husband gave them both an opportunity to reassess some of the towering figures of the time: John F. Kennedy, Jacqueline Kennedy, Martin Luther King Jr., Robert Kennedy, Eugene McCarthy and especially LBJ, who greatly impacted both of their lives. Join us as Doris Kearns Goodwin returns to Commonwealth Club World Affairs to share her unexpected discoveries, fresh appraisals, and the hope that the youth of today will carry forward “this unfinished love story with America.” Learn more about your ad choices. Visit megaphone.fm/adchoices

There's a reason Kylie Jenner and Timothée Chalamet skipped the Met Gala red carpet together this year, and apparently it has nothing to do with their relationship and everything to do with a curse that's been quietly wreaking havoc on Hollywood's biggest couples for years.A week after Blake Lively's settlement with Justin Baldoni dropped just in time for her Met Gala victory lap, the case is back in the headlines with an allegedly angry judge, a brand new legal twist, and a wave of fans now claiming they feel completely betrayed by her.Plus, American Horror Story Season 13 has just dropped its make-or-break casting bombshell, and we're unpacking why one pretty face from Love Story might not be ready to share the screen with Sarah Paulson and Ariana Grande.Love binge-watching TV? The Spill has launched a new podcast called Watch Party where we deep dive into the shows everyone’s talking about. Follow the feed on Apple or Spotify now. Plus remember The Spill drops the tea twice a day in this feed so follow us for all the latest entertainment news… OR you can WATCH our show in full length video on the Apple Podcast app - make sure your phone is up to date and enjoy the watch! Link here. THE END BITS Find and follow us on socials: Instagram: https://www.instagram.com/thespillpodcast/ TikTok: https://www.tiktok.com/@thespillpod Facebook: https://www.facebook.com/thespillpodcast/ Read all the latest entertainment news on Mamamia: https://mamamia.com.au/entertainment/ Support Independent Women’s Media: https://www.mamamia.com.au/subscribe/ Your subscription helps us continue to tell the stories that matter to women. Want to join the conversation? Have feedback or a topic you want us to discuss? Send us a voice message or email us at thespill@mamamia.com.au and we’ll get back to you ASAP! Executive Producer: Monisha Iswaran Audio & Video Producer: Michael Kean Mamamia acknowledges the traditional owners of the land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Mark goes to Nashville with Shane Gillis and runs into Luis J Gomez! Then he heads over to see Aladdin on Broadway, disappears and goes to hang with William H. Macy! Joe narrowly avoids a shiv and gives up a sick addiction! It's Tuesdays! Our Stuff: - http://www.patreon.com/tuesdays - youtube.com/tuesdayswithstories -Support the show & get 20% off your 1st Sheath order with code TUESGAYS at https://www.sheathunderwear.com  -Buy 2 months of BlueChew Gold & get your 3rd month FREE when you use promo code TUESDAYS @ http://BlueChew.com/

Some conversations stay with you forever, and this is one of them. Getting to talk with Amy Grant felt surreal. We talked about her powerful new album, The Me That Remains, her first album in 13 years, a project that beautifully weaves together the stories, seasons, and soul of a life fully lived. We went all the way back to the beginning… from being discovered and signed over the phone at just 16 years old, to building a beautiful life and love story with Vince Gill (who, as it turns out, measure their love in dogs ❤️). Amy was the very first artist I ever truly fell in love with. My sister and I absolutely wore out Heart in Motion, singing into our hairbrushes like we were on stage right beside her. To get to talk with someone whose music helped shape your childhood, and hear the stories behind the legend, was something I’ll never forget.See omnystudio.com/listener for privacy information.

Avery joins Megan on the podcast to reminisce and share the untold details of their love story, from their friendship as teenagers to spouses and parents of 4. Don't miss this rare conversation of Megan and Avery together.   Call or Text Our Hotline: 312-775-2615   If you've been blessed by our podcast, we ask you to prayerfully consider supporting us on Patreon https://www.patreon.com/c/whatinthedangheck @Hallowapp get your 3-month free trial at www.hallow.com/whatinthedangheck   @saltandlightbysami Use Code HECK10 for 10% off https://saltandlightbysami.com/   @herplanofficial please consider donating at https://secure.herplan.org/witdh

Why don't I have a father? Cathy is 10 years old when she starts asking questions. The secret her mum Maggie is forced to reveal changes everything. Years later, when lawyers and a geneticist turn up in their hometown in Kenya to take DNA samples, Maggie hopes they can help her finally learn the truth. Presented by Ivana Davidovic.

WE'RE ON TOUR NOW, COME SEE US: https://www.evolutionofasnake.comTaylor Swift just gave the New York Times her most candid interview yet — and we watched every second so you didn't have to. This week on Evolution of a Snake, we're breaking down the real story behind how All Too Well (Ten Minute Version) actually got made, how Taylor defines her own greatest songwriting, why Speak Now, Evermore, and Love Story keep getting overlooked even by her own fans — and whether this interview is the final proof that she is the greatest living American songwriter. We have receipts.

Amy Nobile Messing is back on the podcast! Amy is a holistic dating coach. We discuss the problem with Love Story, what healthy couples argue about, dating from your wound vs. your worth, hard truths single people may need to hear, how to enjoy solo time, and more.Get More We Met At Acme!Youtube: @wemetatacmeIG: @lindzmetz @wemetatacme @wemetatbabySubstack: @wemetatacme + @wemetatbabyWebsite: @wemetatacmeVisit chase.com/hyattoffer to learn moreUse code ACME at monarch.com for half off your first yearIf you're in the market for a beautiful new sofa, dining table, or bed, head over to article.comStart your free online visit today at forhers.com/acmeYou can try obe Fitness free for 30 days at obefitness.com with code ACMEProduced by Dear MediaSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.