Podcasts about Our Lives

Wolf Hall composer Debbie Wiseman and Scottish classical composer Jay Capperauld are Jeffrey Boakye and Anna Phoebe's studio guests as they add five more tracks. Starting with a hip-shake in Colombia, they head to South Africa, a state secondary school in London, the firebombing of Dresden, and finally to Honolulu for a Canadian lament.Producer Jerome Weatherald Presented with musical direction by Jeffrey Boakye and Anna PhoebeThe five tracks in this week's playlist:Hips Don't Lie by Shakira Zithande by Freshlyground Another Brick in the Wall, Part 2, by Pink Floyd String Quartet No 8, 2nd mvt: Allegro Molto by Dmitri Shostakovich Big Yellow Taxi by Joni MitchellOther music in this episode:Rock Your Baby by George McCrae Our Gilded Veins by Jay Capperauld With Love by Thin Lizzy Amores Como El Nuestro by Jerry Rivera Dance Like This by Wyclef Jean The Time of Our Lives by Toni Braxton and Il Divo Waka Waka (This Time for Africa) by Shakira and Freshlyground Chicken to Change by Freshlyground Endlings by Jay Capperauld

Dana and Tom with returning 5x Club Member, Kieran B. (Host and Creator of the Best Picture Cast), discuss the silent comedy classic, Modern Times (1936), celebrating its 90th anniversary: written and directed by Charlie Chaplin, cinematography by Ira Morgan and Roland Totheroh, music by Charlie Chaplin, editing by Charlie Chaplin and Willard Nico, starring Charlie Chaplin and Paulette Goddard.Plot Summary: In Modern Times, Charlie Chaplin returns again as the Little Tramp, a factory worker who struggles to keep up with the fast pace of modern machines. On an assembly line, he tightens bolts all day until the pressure drives him nearly insane. After a nervous breakdown, he is sent to a hospital. When he gets out, he is mistaken for a communist leader during a workers' protest and is thrown in jail. Even in jail, his clumsy good luck helps him stop a prison break, but once he is free, he finds it hard to survive in a world ruled by machines and money.During his struggles, the Tramp meets a poor young woman played by Paulette Goddard. She is hungry, homeless, and trying to care for her sisters after their father dies. The two form a close bond and dream of building a simple life together. They face job losses, hunger, and constant trouble with the law, yet they refuse to give up hope. In the final scene, Chaplin and Goddard walk down an open road, determined to keep going despite the hardships of the modern world.Guest:Kieran B (15x Member Club)Host and Creator of the Best Picture Cast; @bestpicturecast on X, IG, Letterboxd - BPC, Personal LetterboxdPrevious Episodes (17x): Cat on a Hot Tin Roof (1957), Lost in Translation (2003), Gran Torino (2008), Stalag 17 (1953), Shane (1953), A Fistful of Dollars (1964), The Best Years of Our Lives (1946) Revisit, 12 Angry Men (1957) Revisit,

On this episode of Songs of Our Lives, it's Ben Seretan! What a joy this episode was to record. Ben's the best. His new album, “Sunbeam of No Illusion,” with John Thayer is one of my early favorites so far this year. After talking about that, we get into all kinds of whimsy and fun with Arthur Russell, Sinai Vessel, Wham!, Clarence Carter, Celine Dion, Prince, Pet Shop Boys, and plenty more!Listen to all of Ben's picks HERESunbeam of No IllusionBen's WebsiteBen on IGSongs of Our Lives is a podcast series hosted by Brad Rose of Foxy Digitalis that explores the music that's made us and left a certain mark. Whether it's a song we associate with our most important moments, something that makes us cry, the things we love that nobody else does, or our favorite lyrics, we all have our own personal soundtrack. Join Foxy Digitalis on Patreon for extra questions and conversation in each episode (+ a whole lot more!)Follow Foxy Digitalis:WebsitePatreonInstagramTwitterBlueskyThe Jewel GardenSong ListFrank Luther “The Travels of Babar”Prince “The Beautiful Ones”Celine Dion “It's All Coming Back to Me Now” (Classic Paradise Mix)Clarence Carter “Strokin'”Black Flag “Nervous Breakdown”Audioslave “Cochise”Fiona Apple “The First Taste”Lea Thomas “We Must Be In Love”Sinai Vessel “Where Did You Go?Ry Cooder & V.M. Bhatt “A Meeting By the River”Wham! “Everything She Wants” (Todd Terry Club Mix)Arthur Russell “Our Last Night Together”Pet Shop Boys “Always On My Mind”

In this episode of THE MENTORS RADIO, Host Dan Hesse talks with Ginni Rometty, who was the ninth Chairman, President, and Chief Executive Officer of IBM. Under her leadership, the 100-year-old company reinvented 50 percent of its portfolio, built a $25 billion hybrid cloud business, and established leadership in AI and quantum computing.  IBM acquired 65 companies during Ginni's tenure as CEO, including Red Hat, the largest acquisition in the company's history.  She also drove record results in workforce transformation and supported the explosive growth of an innovative high school program to prepare the workforce of the future in over twenty-eight countries.  Through her work with the Business Roundtable, Ginni helped redefine the purpose of the corporation. She has been named Fortune's #1 Most Powerful Woman three years in a row, is a member of the National Academy of Engineering, and has been honored with the designation of Officer in the French Légion of Honor. Today, Ginni Rometty serves on multiple boards and co-chairs OneTen, a coalition committed to upskilling, hiring and promoting one million Americans without four-year degrees by 2030 into family-sustaining jobs and careers. She is the author of the bestselling book Good Power: Creating Positive Change in Our Lives, Work and World, which is full of lessons she learned from important mentors, both inside and outside of IBM.   LISTEN TO the radio broadcast live on iHeart Radio, or to “THE MENTORS RADIO” podcast any time, anywhere, on any podcast platform – subscribe here and don't miss an episode! SHOW NOTES: GINNI ROMETTY: BIO: BIO: Virginia (Ginni) Rometty BOOK: Good Power: Leading Positive Change in Our Lives, Work, and World, by Ginni Rometty WEBSITE: https://ginnirometty.com

On this episode of Songs of Our Lives, it's Tusco Embassy's Nathan Bowers! This episode is all over the place. Tusco Embassy re-emerged a couple years ago with a series of ‘Roulette'-style compilations - basically, records that will play a different song each time you play it. We get into how it works, why it rules, and all that, so if this sounds confusing, don't worry! Then we go roulette-style and let the wheel pick the order of the questions (along w/ two Wild Card rounds!). It's a blast. (Songs from Stevie Wonder, HUNTR/X, Nirvana, VU, Gang of Four, Yes, Thompson Twins, and more!)Listen to all of Nathan's picks HEREBUY ROULETTE RECORDSTusco IGP. Sherburne's ArticleSongs of Our Lives is a podcast series hosted by Brad Rose of Foxy Digitalis that explores the music that's made us and left a certain mark. Whether it's a song we associate with our most important moments, something that makes us cry, the things we love that nobody else does, or our favorite lyrics, we all have our own personal soundtrack. Join Foxy Digitalis on Patreon for extra questions and conversation in each episode (+ a whole lot more!)Follow Foxy Digitalis:WebsitePatreonInstagramTwitterBlueskyThe Jewel GardenSong ListHUNTR/X “Golden”The Free Design “Kites Are Fun”VU “Rock & Roll”Celtic Frost “Dethroned Emperor”Stevie Wonder “I Just Called to Say I Love You”Low “The Plan”Thompson Twins “Hold Me Now”Nirvana “Dive”Weezer “The Good Life”Bolt Thrower “Shreds of Sanity”The Rolling Stone “Get Off My Cloud”Gang of Four “Not Great Man”Harriet the Spy “Forgettable Fire”Yes “And You and I”

Ben Markovits is the author of several acclaimed novels, including his most recent release The Rest of Our Lives, which explores marriage, infidelity, empty nesting, and mortality. The book, which was short-listed for the Booker Prize, focuses on a 55-year-old law professor's midlife crisis and transformative road trip after his children leave home. You might say it examines the sources of happiness in our lives as we age. Ben's writing has appeared in The New York Times, The New Yorker, and The Guardian. He spoke with me from his home in England. Please ⁠rate and review⁠ ⁠⁠Reasonably Happy⁠⁠ (DO IT!)    Read ⁠Paul's ⁠⁠Substack newsletter⁠⁠⁠   Read Ben's book ⁠NYT essay  

⭐Judgment at Nuremberg (1961) - When "Just Following Orders" Fails (Plot Synopsis) ⭐

Deb tells Don and Sam about being a blackout drinker at an early age. Over the years she became hopeless, not knowing about a way out. A suicide attempt brought Deb to a hospital and that brought her to AA. In AA she found a modicum of hope that kept her coming. After many years of sobriety, Deb's life now is filled with service to alcoholics in many forms. Check out Grapevine's Instagram for a photo of Deb's overstuffed Big Book. In Listener Feedback we hear from Scott; in a new feature, Using Traditions in Our Lives, we hear from John, Sharron and Polly on Tradition Two.While we provide the podcast at no charge, we do have expenses. Grapevine is the only AA entity that does not accept direct contributions, so to support the AA Grapevine Podcast, please subscribe to Grapevine Magazine in print, online, or on the Grapevine app. You can also provide a subscription to someone in need through our "Carry the Message" program or purchase books or other items at aagrapevine.org/storeYou can email us at podcast@aagrapevine.org. To record an Ask-It-Basket question or a recovery-related joke, call 212-870-3418 or email a voice recording to podcast@aagrapevine.org

On this episode, Rachel Larkins, a listener of Books with Betsy, talks about her project to read all the winners of the Hugo award, so we talk about a lot of really great sci-fi books. We also dish about how great the Book Riot podcast universe is and we might convince you to pick up Dune.    Books mentioned in this episode:    What Betsy's reading:  Ring by Michele Lerner You Wanna Be On Top? by Sarah Hartshorne Wuthering Heights by Emily Bronte  The Rest of Our Lives by Ben Markovits The Wilderness by Angela Flournoy    Books Highlighted by Rachel: Enders Game by Orson Scott Card  Fangirl by Rainbow Rowell  The Diamond Age by Neal Stephenson Red Rising by Pierce Brown A Canticle for Liebowitz by Walter Miller  Prophet Song by Paul Lynch  Among Others by Jo Walton  Network Effect by Martha Wells  Project Hail Mary by Andy Weir  Dune by Frank Herbert  Forever Peace by Joe Haldeman  The Year of Magical Thinking by Joan Didion    All books available on my Bookshop.org episode page.   Other books mentioned in this episode: How to Live Safely in a Science Fictional Universe by Charles Yu  Travel Team by Mike Lupica  Recursion by Blake Crouch  Katabasis by R.F. Kuang  The Handmaid's Tale by Margaret Atwood  The Priory of the Orange Tree by Samantha Shannon  Gilead by Marilynne Robinson  Eleanor & Park by Rainbow Rowell  Fourth Wing by Rebecca Yarros 

This week, Will, Lloyd (Toin) and Ben (Baum) discuss Cheers cameos, depressing beers, nicknames, and the Scents of Our Lives.

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

This was such a fun conversation with Emma Steele, we've been chatting online for a while so it really felt like catching up with a friend. In this episode we talk about Emma's fabulous new novel, The Love of Our Lives, her writing life, what draws her to write speculative fiction and of course the five books that shaped her life (well there were a few more than 5).And of course, no episode of Best Book Forward would be complete without book recommendations! Here's everything we mentioned, with links to buy:

Awkward | Sin in Our Lives by Dresden.Church

EPISODE 125 -  “VIRGINIA MAYO: CLASSIC HOLLYWOOD STAR OF THE MONTH” - 2/02/2026  One of the most glamorous actresses in old Hollywood undoubtedly was VIRGINIA MAYO. This peaches-and-cream, midwestern beauty started her career wrangling two men in a horse costume on stage before being discovered by producer SAMUEL GOLDWYN and transformed into a full-blown movie star. Often playing the fantasy girl to leading men like BOB HOPE and DANNY KAYE, her beauty sometimes made people miss the fact that she was a very capable actress — particularly when she played bad girls in films like “The Best Years of Our Lives” and “White Heat.” She was very adept at light comedy, romance films, and drama, appearing in over 50 feature films and many television shows throughout her career. And tune in to find out about Steve's connection to this old Hollywood glamour girl as we celebrate Mayo as our February Star of the Month.   SHOW NOTES:  Sources: The Best Years of My Life (2001), by Virginia Mayo, as told to LC Van Savage; The Forties Gals (1980), by James Robert Parish & Don E. Stanke; “Virginia Mayo's 100th Birthday,” November 30, 2020, by Vanessa Varquez, www.ashroudofthoughts.com; “Virginia Mayo, 84, Stunning Actress of 1940s Romantic Films,” January 19, 2005, Los Angeles Times; Virginia Mayo, Movie Actress, Dies at 84,” January 18, 2005, by Richard Severo, New York Times; Wikipedia.com; TCM.com; IBDB.com; IMDBPro.com; Movies Mentioned: Follies Girls (1943), starring Wendy Barrie; Up In Arms (1944), starring Danny Kaye & Constance Dowling; Jack London (1943), starring Michael O'Shea; Seven Days Ashore (1944), starring Wally Brown; The Princess and the Pirate (1944), starring Bob Hope & Virginia Mayo; Wonder Man (1945), starring Danny Kaye, Virginia Mayo, & Vera Ellen; The Kid From Brooklyn (1946), starring Danny Kaye, Virginia Mayo, Vera Ellen & Steve Cochran; The Secret Life of Walter Mitty (1947), starring Danny Kaye, Virginia Mayo, Boris Karloff & Ann Rutherford; The Best Years of Our Lives (1946), starring Fredric March, Myrna Loy, Dana Andrews & Teresa Wright; A Song Is Born (1948), starring Danny Kaye & Virginia Mayo; Smart Girls Don't Talk  (1948), starring Bruce Bennett & Virginia Mayo; Flaxy Martin (1949), starring Virginia Mayo & Zachary Scott; Colorado Territory (1948), starring Joel McCrea & Virginia Mayo; White Heat (1949), starring James Cagney & Virginia Mayo; Red Light (1949), starring George Brent & Virginia Mayo; Always Leave Them Laughing (1949), starring Milton Berle, Virgina Mayo & Ruth Roman; Backfire (1950), starring Gordon MacRae, Virginia Mayo & Edmond O'Brien; The Flame and the Arrow (1950), starring Burt Lancaster & Virginia Mayo; The West Point Story (1950), starring James Cagney & Virginia Mayo; Captain Horatio Hornblower (1951), starring Gregory Peck & Virginia Mayo; She's Working Her Way Though College (1952), starring Ronald Reagan & Virginia Mayo; South Sea Woman (1953), starring Burt Lancaster & Virginia Mayo;   Pearl of the Pacific (1955), starring Dennis Morgan & Virginia Mayo; The Silver Chalice (1954), starring Paul Newman, Virgina Mayo * Pier Angeli; Congo Crossing (1956), starring Virginia Mayo & George Nadar; The Big Land (1957), starring Alan Ladd & Virginia Mayo; The Story of Mankind (1957), starring Vincent Price, Ronald Colman & Peter Lorre; Young Fury (1965), starring Rory Calhoun & Virginia Mayo; Castle of Evil (1966), starring Scott Brady & Virginia Mayo; Won Ton Ton, the Dog Who Saved Hollywood (1976), starring Bruce Dern & Madelyn Kahn; Hunted (1977), starring Aldo Ray; French Quarter (1978); starring Bruce Davison; The Man Next Door (1997); starring Karen Carlson; --------------------------------- http://www.airwavemedia.com Please contact sales@advertisecast.com if you would like to advertise on our podcast. Learn more about your ad choices. Visit megaphone.fm/adchoices

Josh Arnold joins Kristi Lee and Dr. Rob Shoemaker for a wide-ranging movie conversation, from black-and-white classics to romantic favorites. They talk about “The Best Years of Our Lives,” “The Philadelphia Story,” “It's a Wonderful Life,” “Casablanca,” “When Harry Met Sally,” “Breakfast at Tiffany's,” “Out of Africa” and “Once,” plus the reality of how performances and scenes hit differently over time. Then the tone shifts to a debate over the chimp thriller “Primate,” including what the movie gets right and wrong, how rabies and plot rules are handled, and why depictions of apes in entertainment can shape public attitudes.

This week on From the Front Porch, Annie recaps the books she read and loved in January. You get 10% off your books when you order your January Reading Recap bundle. Each month, we offer a Reading Recap bundle, which features Annie's favorite books she read that month. To purchase the books mentioned in this episode, stop by The Bookshelf in Thomasville, visit our website (search episode 566), or download and shop on The Bookshelf's official app: Stone Yard Devotional by Charlotte Wood  The Land in Winter by Andrew Miller  Meet the Newmans by Jennifer Niven  Lost Lambs by Madeline Cash  The Rest of Our Lives by Ben Markovits  This Is Not About Us by Allegra Goodman  Vigil by George Saunders  This Story Might Save Your Life by Tiffany Crum  The Reservation by Rebecca Kauffman  Homeschooled by Stefan Merrill Block  January Reading Recap Bundle The Land in Winter by Andrew Miller  Homeschooled by Stefan Merrill Block  Vigil by George Saunders  From the Front Porch is a weekly podcast production of The Bookshelf, an independent bookstore in South Georgia. You can follow The Bookshelf's daily happenings on Instagram, Tiktok, and Facebook, and all the books from today's episode can be purchased online through our store website, www.bookshelfthomasville.com.  A full transcript of today's episode can be found here. Special thanks to Dylan and his team at Studio D Podcast Production for sound and editing and for our theme music, which sets the perfect warm and friendly tone for our Thursday conversations.  This week, Annie is reading Whidbey by T. Kira Madden If you liked what you heard in today's episode, tell us by leaving a review on Apple Podcasts. You can also support us on Patreon, where you can access bonus content, monthly live Porch Visits with Annie, our monthly live Patreon Book Club with Bookshelf staffers, Conquer a Classic episodes with Hunter, and more. Just go to patreon.com/fromthefrontporch. We're so grateful for you, and we look forward to meeting back here next week. Our Executive Producers are...Ashley Ferrell, Beth, Cammy Tidwell, Gene Queens, Jammie Treadwell, Joseph Shorter IV, Kimberly, Linda Lee Drozt, Nicole Marsee, Stephanie Dean, and Wendi Jenkins.

Fear doesn't always look obvious. Sometimes it shows up as overthinking, second-guessing, or feeling stuck and unsure of your next move. In this episode, we talk about what it really means to choose faith over fear — not just in running, but in everyday life.Inspired by a meaningful Christmas gift with the words “Faith Over Fear,” this conversation dives into how fear can quietly impact training, consistency, and confidence. We share personal stories and coaching insights on how fear often tries to pull us out of alignment with who we are and who we're becoming.You'll learn how to recognize fear when it's disguising itself, simple tools like breath and awareness to reset your nervous system, and practical ways to move forward even when things feel uncertain.If you've ever felt stuck, overwhelmed, or unsure in your running or life, this episode is a reminder that you don't need all the answers — just the willingness to take the next step with trust and support.00:42 Recap of Kevin's Long Haul 100 Experience02:36 Post-Race Recovery Insights05:48 Understanding Fear and Its Disguises14:16 The Impact of Stress on Our Lives and Running23:27 Overcoming Fear and Embracing Faith26:12 Challenging the Comfort Zone26:29 Race Reflections and Lessons Learned28:37 Balancing Fear and Faith in Running40:14 Parenting: Faith Over Fear43:52 Nutrition and Health: Evolving Beliefs46:46 Practical Steps to Overcome FearJoin the 30 Day Running Reset and get a plan that will help you build a strong and injury-proof body by combining running and strength training in a way that actually works for runners like you.Gain access to my new secret podcast, Unbreakable: The Runner's Guide To Injury-Proofing Your Body After 40. Click here: https://www.realliferunners.com/secret Join the Team! --> https://www.realliferunners.com/team Thanks for Listening!!Be sure to hit FOLLOW on Apple Podcasts, Spotify, or your favorite podcast player Leave a review on Apple Podcasts. Your ratings and reviews really help and we read each one! Come find us on Instagram and say hi! Don't forget: The information on this website is not intended to treat or diagnose any medical condition or to provide medical advice. It is intended for general education in the areas of health and wellness. All information contained in this site is intended to be educational in nature. Nothing should be considered medical advice for your specific situation.

Defenders: Doctrine of Salvation (Part 9): Application of Mystical Union to Our Lives

Welcome to a new year of An Oscar For Arnold! With prediction markets in the news these days, we thought it might be interesting if Sonny and Tom try to predict what will happen this year. We're talking about everything from Best Picture winner at the 2026 Academy Awards to the next celebrity couple, the next big trends, and whether Sonny and Tom will find love in the calendar year. So listen now and then follow our picks over the course of 2026 to see how much we nailed it. Will Timothée Chalamet win Best Actor? Will James Marsden experience a career renaissance? Will Helen Mirren be exposed as the leader of a celebrity drug ring? Only time will tell.But time will quickly tell if the boys like today's opening segment, in which they imagine Arnold Schwarzenegger taking over Fredric March's role in "The Best Years of Our Lives." A movie that Sonny wants to see, so he forbids Tom from spoiling it and actually discussing the plot. Which might've been for the best, since it gave your hosts time to dive in to Fredric March's ridiculous character assassination in recent years, in which a club he was a member of with an unfortunate name caused his own name to be removed from a building for no good reason. Sonny and Tom get legitimately upset about this, as a man who was actually an outspoken civil rights advocate for his time is being unfairly labeled as a racist and nobody seems to care enough to do anything about it. Maybe this podcast will do something about it. That would require people actually listening to it, however.Be sure to tune in next year when we check how our predictions went!Hosted by Sonny de Nocker (@swankysonny) and Tom Price (@thomas_price22).Theme by Josh Britt (jbrittmusic.com)Instagram: AnOscarForArnoldTwitter: @AnOscar4ArnoldTikTok: AnOscarForArnoldContact: AnOscarForArnold@gmail.com

In this episode, we reflect on the tender and often misunderstood topic of forgiveness, what it is, what it isn't, and why it's central to finding freedom in Christ. We talk honestly about how resentment and unforgiveness can quietly build in the heart, often as an attempt to protect ourselves from further pain. We also acknowledge how difficult forgiveness can be, what to do with the cry of our hearts when we have been wounded, and how to entrust it to God when we don't yet feel capable of forgiving. Friends, forgiveness does not strip us of our identity, it affirms who we are in Christ. Even in the deepest places of hurt, we find hope because of the loving presence of a God who never abandons us in our pain.   Heather's One Thing - Greatness of the Lord by Brooke Ligertwood Heather's Other One Thing - The Franciscan University Community  Sister Miriam's One Thing - Heather's Battle Cry Playlist Michelle's One Thing - Congratulations to Indiana University for winning the championship! Michelle's Other One Thing - The Correspondent by Virginia Evans   Other Resources Mentioned:  Forgiving as Unity with Christ: A Journey for Healing Resentment and Relationships by Dr. Robert Enright   Announcement: Our 2026 Lenten book study will be "The Way of Trust and Love" by Fr. Jacques Philippe. Scepter Publishers has offered 15% off with the code ABIDE15. They also offer an ebook version as well. We will announce more information about the study in the coming weeks!   Journal Questions: What are the unhealed places of your heart? Are you angry, sad, or frustrated at the wrong you've endured? How have I experienced shame about the wrongs I've endured or my own unforgiveness? How has this affected my health, wellbeing, or energy? How do I replay or obsess over the conflict I experienced?  How have I given into constant comparison in my unforgiveness? What major changes have occurred in my life because of the injustice I've experienced and how have they affected me? Has this experience led to a more negative worldview? How has my sense of self changed? Am I seeing myself as worthless?   Discussion Questions: How have you been sweeping things under the rug and calling it forgiveness? What deeper feelings lie beneath your resentment? Where in your life do you need to repent and take personal responsibility? Who has modeled repentance and forgiveness well in your life? How does your heart react to conflict and wrongdoing in relationships?   Quotes to Ponder: "Ultimately, we can really forgive people only because Christ rose from the dead; his Resurrection is the guarantee that God can cure every wrong and every hurt." (Fr. Jacques Philippe, Interior Freedom) Resentment attacks our vital forces and does us much harm. When someone has made us suffer, our tendency is to keep the memory of the wrong alive in our minds, like a "bill" we will produce in due time to demand settlement. Those accumulated bills end up poisoning our lives. It is wiser to cancel every debt, as the Gospel invites us to. In return, we will be forgiven everything, and our hearts will be set free, whereas nurturing resentment toward others closes us to the positive things they could contribute to us." (Fr. Jacques Philippe, Interior Freedom) Scripture for Lectio: "Then Peter came to Jesus and asked, "Lord, how many times shall I forgive my brother who sins against me? Up to seven times?" Jesus answered, "I tell you, not just seven times, but seventy-seven times!"" (Matthew 18:21-22)   Sponsor - Blessed is She: "Who do you say that I am?" Jesus didn't ask this because He was uncertain of His identity. He asked because we often are. The disciples had walked with Him. They had seen the miracles. They had heard the teaching. And still, when the question was asked, many hesitated. Because proximity to Jesus does not automatically mean intimacy.  So often, our understanding of God is shaped by what we've absorbed over time—what we were taught, what we experienced, what others modeled for us. And without noticing, we begin to believe stories that aren't true.That God is distant. That He is easily disappointed. That love must be earned. That holiness requires perfection. But Jesus does not leave us guessing. He tells us who He is: I am the Light of the World. I am the Bread of Life. I am the Good Shepherd. I am the Way, the Truth, and the Life... Join Blessed is She this Lent to journey with Jesus to Jerusalem in Who Do You Say That I Am? by Debra Herbeck.  This Lenten devotional walks through the "I AM" statements of Jesus in the Gospel of John and is written to lead you out of assumptions and into encounter.  This Lent, let Jesus speak for Himself. And let that truth reshape the way you live. Whether you've been walking with Jesus for years or you just met Him, drink even more deeply of the truths of who Jesus says He is in Who Do You Say That I Am? Get your women's and kid's devotionals at blessedisshe.net/lent. Blessed is She is a Catholic women's community for any woman who wants to radically follow Jesus through a vibrantly Catholic life every single day.  We create beautiful and accessible resources (like this year's Lent devotional), products, and experiences to deepen prayer and foster community, both online and in person. We invite you into this community, no matter where you are on your walk with Christ. You belong here. Subscribe to our *free* daily emails to pray with the daily Mass readings and women all over the world at blessedisshe.net/subscribe and order the brand new Blessed is She Catholic journaling Bible at blessedisshe.net/shop.   Timestamps: 00:00 Blessed is She 01:30 Intro 02:16 Welcome 03:25 Scripture Verse and Quotes to Ponder 06:13 Repentance Leads to Freedom 07:53 Forgiveness is Hard 09:41 How Do I Forgive When I Don't Have the Capacity? 13:27 Modeling Repentance in Our Lives 17:35 Being Honest with Ourselves Can Be Painful 24:28 Sitting in the Pain and Setting Boundaries 29:34 Reflection Questions on Forgiveness 38:03 One Things

What's your most loved and least favourite song on the Oasis b-sides collection the Masterplan? FINALLY, our long awaited Oasis episode and Jim threw us a curveball choosing this collection with some of his favorite Gallagher tunes. SHIELDS UP as he takes on two non-fans for a fookin' Brit battle. Adam was the singer of North America's first(?) Oasis coverband, the short-lived parody the Fookin' Wankers, but he loves taking the piss, so he and Dan cranked up the willpower trying not to buzzkill Jim's superfandom TOO badly. Lots of fun show tales from San Francisco's tiny, infamous Britpop royalty/meth supply show to their biblical Rose Bowl reunion gathering. Legendary Denver Britpop/soul DJ Tyler Jacobson reads our closing credits and weighs in as our guest ranker and...more. Available at WeWillRankYouPod.com, Apple, Youtube, Spotify and everywhere underneath the sky.  Please tell us how YOU would rank tonight's tunes on Instagram, Facebook, Bluesky and Threads  @wewillrankyoupod !FILE UNDER/SPOILERS:acoustic guitar, Acquiesce, Ryan Adams, Gem Archer, Burt Bacharach, because we need each other, the Beatles, Andy Bell, Blur, Brian Jonestown Massacre, Britpop, b-sides, Canned Heat, Creation Records, does it matter if it's out of tune, England, Fade Away, fauxasis, fookin' wankers, the Fookin' Wankers, Liam Gallagher, Noel Gallagher, Going Nowhere, Half the World Away, harmonica, Headshrinker, horns, I Am the Walrus, (It's Good) To Be Free, Tyler Jacobson, the Jam, the Kinks, Lipgloss, Listen Up, Manchester, The Masterplan, The Masterplan Conspiracy, Oasis, Oasis25, Oasiz (the mentioned San Diego Oasis tribute), organ, Ride, rock and roll, Rockin' Chair, Rose Bowl, rude, see how we are, Sex Pistols, singles, the Soundtrack of Our Lives, Stay Young, Rod Stewart, The Swamp Song, Talk Tonight, Underneath the Sky, Paul Weller, Wham!, 1994-97.Fookin Wankers (fauxasis Oasis parody) highlights https://youtu.be/f7ni3aXwgPUOasiz (San Diego Oasis tribute Adam alluded to but stupidly forgot to mention) https://www.facebook.com/Oasiz.SD.tributeEnd mashup by Audio Ammunition https://youtu.be/Ll39IOf4d6cTyler Jacobson https://www.facebook.com/tylerdjacobsonThe Casual Sound Brit-Pop Podcast https://thecasualsound.com/Tyler's Pixels' Doolittle EP https://open.spotify.com/album/3gL8v4x1CStj0CDYe6w1oVUS: http://www.WeWillRankYouPod.com wewillrankyoupod@gmail.comNEW! Host tips: Venmo @wewillrankyoupodhttp://www.facebook.com/WeWillRankYouPodhttp://www.instagram.com/WeWillRankYouPodhttps://www.threads.net/@WeWillRankYouPodhttp://www.YerDoinGreat.com (Adam's music page)https://open.spotify.com/user/dancecarbuzz (Dan's playlists)

Aiming At Heaven 1. A New Pursuit for Our Lives (3:1) 2. A New Focus for Our Minds (3:2) 3. A New Security for Our Identity (3:3) 4. A New Hope for Our Future (3:4)

In this revelatory and faith-building message, The Impact of Words on Our Lives, Rev. Robin-Huws Barnes teaches on the power of God's Word, the believer's new creation reality, and the authority Christians have in Christ. This message calls believers out of ignorance and into conscious dominion, showing how understanding truth transforms thinking, speech, and daily living. Through Scripture, real-life encounters, and deep spiritual insight, this teaching challenges believers to stop living by appearances and start living by divine realities.

Fan Mail: Tell Wendy how you're saying yes to yourself!New in 2026: Space to Dream Retreats Around the World What if your next chapter could begin in a beautiful city, with a few quiet hours just for you?Space to Dream is a half-day, in-person workshop experience designed to help you step out of the noise and into a moment of intentional pause—one that invites clarity, softness, and possibility. Hosted in inspiring destinations around the world, this experience is for women ready to say yes to what's next.

Hey friends,You know those conversations that feel like sunshine and strong coffee at the same time? That's what today's episode is. I'm sitting down with the one and only Cynthia Yanof, OG host of the Pardon the Mess podcast and someone who knows how to bring laughter, truth, and grace into every room she walks into.We're talking about her brand new book, How'd I Miss That? and it's all about those holy “aha” moments, when something you've heard a million times in Scripture suddenly lands differently and stirs your heart in a new way. If you've been craving encouragement that's both lighthearted and deeply rooted, this episode is for you.Here's what we unpack:Why love is the Christian brand and how we often forget thatHow mustard seed moments can shape your legacy as a parentWhat it means to live your faith in ordinary, everyday waysHow to create a personal “Mount Rushmore” to guide your parenting and faithIt's hopeful. It's hilarious. And it will make you want to lean in just a little closer to Jesus today.Cynthia is a speaker, author, and podcast host passionate about encouraging parents to pursue Jesus in the middle of the mess. She's the original host of Pardon the Mess and now serves as a frequent voice in the Christian Parenting community. Her latest book, How'd I Miss That?, is all about rediscovering the simple but powerful truths of our faith that we often overlook. Cynthia lives in Texas with her husband and kids and brings wisdom wrapped in wit wherever she goes.Let's keep choosing the small things, because they're often the big things in disguise.With love,Steph(00:00) Welcome Back and Introduction(03:11) Navigating Parenting and Faith(05:45) How'd I Miss That? Moments in Faith(09:00) The Importance of Love in Our Lives(12:11) Parenting Perspectives: Lessons Learned(14:51) The Mustard Seed Mistake(18:03) Building a Personal Mount Rushmore(21:01) The Impact of Small Acts of Love(24:00) Conclusion and ResourcesConnect with Cynthia Websitehttps://www.instagram.com/cynthiayanof/MESSmerized podcastSidetracked podcastFeeding the Mouth that Bites You podcastResources MentionedHow'd I Miss That? bookSign up for Morning MinuteChristian ParentingDwell Bible in a Year Prefer video? Find this and other episodes on YouTube!The Christian Parenting Podcast is a part of the Christian Parenting Podcast Network. For more information visit www.ChristianParenting.orgOur Sponsors:* Check out Everyday Dose and use my code CPPODCAST for a great deal: https://everydaydose.com* Check out IXL and use my code TODAY for a great deal: https://www.ixl.comPrivacy & Opt-Out: https://redcircle.com/privacy

What if the story you're living right now—yes, even the painful parts—is being written by God with more intention than you can see?In this episode of Your Biggest Breakthrough, we sit down with our dear friends Joe and Tamara Battaglia, and we promise you this conversation will move you. You'll laugh, you may cry, and you'll walk away reminded that nothing in your life is random.Joe's journey through Christian media, Tamara's deeply personal miracles of motherhood, the heartbreaks, the waiting seasons, and the surprising love story God orchestrated between them—it all points to one powerful truth: God is always working behind the scenes, even when we don't recognize it in the moment.Tamara shares the heart behind her devotional, Written in Heaven—a collection of real stories from women who've walked through infertility, loss, divorce, illness, loneliness, and restoration. These aren't polished testimonies; they're honest, faith-filled reminders that God sees you, hears you, and is still writing your story.We also talk about marriage, purpose, second chances, loneliness, worship as warfare, and why sharing your story—no matter how ordinary it feels—might be exactly what someone else needs to hear.Chapters:[00:00] Podcast Preview[01: 15] Topic and Guest Introduction[04:09] Welcoming Joe & Tamara Battaglia[07:15] Joe's Jesus breakthrough & God's providence[10:50] Tamara's salvation story at age 12[12:22] How God orchestrated their meeting[18:20] Recognizing God's hand in their relationship[20:40] Tamara's infertility journey & miracle story[29:12] Why Tamara felt called to collect other women's stories[31:23] Every kind of pain is represented in Written in Heaven[32:16] Marriage, covenant, and “holding up her arms”[36:30] When God feels silent and seasons feel long[40:30] Inside the Written in Heaven devotional[42:14] Why does God bring couples together for a purpose[49:30] Why real community still matters[55:50] Final encouragement & blessingResources mentioned:Written in Heaven: His Story, Our Lives by Tamara Hester BattagliaAmazonChristianbookJoe Battaglia's Website: jobattaglia.comThe Business BibleGuest's bio and social handles:Joe Battaglia and Tamara Hester Battaglia are a faith-driven couple whose lives and marriage reflect God's providence, redemption, and purpose across every season.Joe Battaglia is a veteran broadcaster, best-selling author, and the founder and president of Renaissance Communications, the media company behind the nationally syndicated radio program Keep the Faith. With decades of leadership in Christian radio and media, Joe has helped shape countless faith-based initiatives, promoted major Christian films, and served on influential industry boards, including the Gospel Music Association. Known for his journalistic insight and bold biblical perspective, Joe continues to champion faith, family, and community through media, writing, and mentorship.Tamara Hester Battaglia is an author, devoted wife,...

What began in Iran as demonstrations against the dire state of the economy and the cost of living have escalated into a nationwide challenge to the Islamic Republic itself. Now, security forces are aggressively moving on the protesters, killing hundreds (according to a US-based rights group). Meanwhile, President Trump is mulling over military intervention. Abbas Milani, director of Iranian studies at Stanford and author of "The Shah," was held political prisoner by the former Shah's regime and eventually left Iran in 1986. He joins the show.  Also on today's show: Douglas Holtz-Eakin, Chief Economist, WH Council of Economic Advisers Under Pres. George W. Bush; author Ben Markovits ("The Rest of Our Lives"); Shawn Hubler, Los Angeles Bureau Chief, The New York Times    Learn more about your ad choices. Visit podcastchoices.com/adchoices

Rick first came to AA supporting a friend mandated to attend. He didn't think himself an alcoholic, but read some literature and heard from some members and eventually understood his own problem. The Second and Third Steps came easy, but the Fourth presented a problem until he heard "it's just a list." Don and Sam introduce a new podcast feature, Using the Traditions in Our Lives, and Suzy and Angela share about Tradition One: Our common welfare should come first; personal recovery depends upon AA unity.While we provide the podcast at no charge, we do have expenses. Grapevine is the only AA entity that does not accept direct contributions, so to support the AA Grapevine Podcast, please subscribe to Grapevine Magazine in print, online, or on the Grapevine app. You can also provide a subscription to someone in need through our "Carry the Message" program or purchase books or other items at aagrapevine.org/storeYou can email us at podcast@aagrapevine.org. To record an Ask-It-Basket question or a recovery-related joke, call 212-870-3418 or email a voice recording to podcast@aagrapevine.org

Will Arnett stars in the new film ‘Is This Thing On?' about a man going through a divorce, who finds himself onstage doing stand-up. He spoke with Terry Gross about trying out stand-up under a fake name, and his voiceover work.  Also, director Craig Brewer talks about his film, ‘Song Sung Blue.' It's based on the true story of a Milwaukee couple who became local legends performing as a Neil Diamond tribute band.Plus, book critic Maureen Corrigan reviews the roadtrip novel ‘The Rest of Our Lives,' by Benjamin Markovits. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

Description:What happens after the dream you built your life around ends? In today's tender and searching conversation, Jen and Amy sit down with acclaimed novelist Ben Markovits to talk about his forthcoming book, The Rest of Our Lives—a story that lingers in the quiet spaces of midlife, marriage, parenting, friendship, and the quiet reckonings that arrive when the future you imagined no longer fits. The book is so spectacular, it has been shortlisted as a finalist for the illustrious Booker Prize. Together, the trio explores what happens when the life you worked toward doesn't quite deliver what you expected—and how that reckoning ripples through family, intimacy, and identity. Ben speaks honestly about ambition, and the grief of letting go of former selves, while also naming the surprising beauty found in showing up for the people you love in ordinary, unglamorous moments. He and Jen talk about the similarities between the fictional story that he wrote and the real-life account that Jen penned in Awake.  This episode is for anyone standing in the middle of their life, caring for children or parents (or both), wondering how to hold disappointment without becoming hardened—and how to love the life in front of you without pretending it's easy. It's a conversation about endurance, tenderness, and the brave, ongoing work of choosing one another as the years keep unfolding. If you've ever asked yourself, Is this really it?—and then quietly hoped the answer might still be no, not yet—this one is for you. Thought-provoking Quotes: “The author of Anatomy of a Murder said that writing a novel is like driving on a mountain road late at night. You should know where you're trying to get to, and you should be able to see 30 yards in advance.  I guess I have some sense of where I want to get to and then I spend a lot of time watching the next 30 yards.” – Ben Markovits “I like to write about characters who feel like the place they have made for themselves in the world doesn't totally express their sense of who they are.” – Ben Markovits I love the way you write all the backstories of everything because I'm someone who wants to ask 20 questions about what was the furniture in the in-laws beach house like and how did that shape the family dynamic that he married into? Which if you, if you ask all those questions, you sound a little crazy. But actually, you answered all of my questions as I was reading. – Amy Hardin “At a certain point in marriage, you have your fingerprints all over each other.” – Ben Markovits “I love when characters are human, flawed, curious, confused, just really working out their own story. I'm drawn to stories like that that aren't necessarily tidy.” – Jen Hatmaker Resources Mentioned in This Episode: The Rest of Our Lives: A Novel by Ben Markovits – https://amzn.to/4qanlhM The Booker Prizes | Ben Markovits – https://thebookerprizes.com/the-booker-library/authors/ben-markovits Anatomy of a Murder by Robert Traver – https://amzn.to/3YAUTKc Awake: A Memoir by Jen Hatmaker – https://amzn.to/4qaARlw Phineas Redux by Anthony Trollope – https://amzn.to/4qiOPSN Starting Out by Ben Markovits – https://www.faber.co.uk/journal/faber-announces-the-acquisition-of-a-new-novel-by-ben-markovits/#:~:text=It%20will%20be%20published%20in,' New York Times – out 12/21 Atlantic Excerpt –  The Rest of Our Lives Book Tour – https://www.simonandschuster.com/books/The-Rest-of-Our-Lives/Ben-Markovits/9781668231562 Guest's Links: Website - https://www.simonandschuster.com/authors/Ben-Markovits/250699726 Connect with Jen!Jen's Website - https://jenhatmaker.com/ Jen's Instagram - https://instagram.com/jenhatmakerJen's Twitter - https://twitter.com/jenHatmaker/ Jen's Facebook - https://facebook.com/jenhatmakerJen's YouTube - https://www.youtube.com/user/JenHatmaker The For the Love Podcast is presented by Audacy.  To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

In this episode, Dr. Rena Malik, MD is joined by journalist and author Michael Gross to explore the often-overlooked importance of muscle strength for overall health, longevity, and mental well-being. They discuss the fascinating history of how society has understood and valued muscular strength, debunk longstanding myths, and share practical advice for integrating strength training at any age. Listeners will gain valuable insights into the science and culture of strength, the benefits of muscle for disease prevention, and actionable steps for building a healthier future. Become a Member to Receive Exclusive Content: renamalik.supercast.com Schedule an appointment with me: https://www.renamalikmd.com/appointments ▶️Chapters: 00:00:00 Introduction 00:00:32 Why Muscle Matters for Longevity 00:01:58 Why He Wrote “Stronger” 00:04:44 Strength as Connection 00:07:21 Historical Views on Muscle 00:12:25 Medicine's Approach to Exercise 00:33:09 Strength Training and Depression 00:42:45 Elderly Resistance Training 00:50:26 Muscle, Attraction, Confidence & Sexual Health 01:01:29 Overcoming Gym Intimidation + Prescribing Exercise 01:18:13 Final Takeaways Stay connected with Michael Joseph Gross on social media for daily insights and updates. Don't miss out—follow him now and check out these links! INSTAGRAM - https://www.instagram.com/michaeljosephgross/ X - https://x.com/m_j_gross?lang=en WEBSITE - https://www.michaeljosephgross.com Dr. Gross's book: STRONGER: The Untold Story of Muscle in Our Lives - https://www.penguinrandomhouse.com/books/319063/stronger-by-michael-joseph-gross/ Let's Connect!: WEBSITE: http://www.renamalikmd.com YOUTUBE: https://www.youtube.com/@RenaMalikMD INSTAGRAM: http://www.instagram.com/RenaMalikMD TWITTER: http://twitter.com/RenaMalikMD FACEBOOK: https://www.facebook.com/RenaMalikMD/ LINKEDIN: https://www.linkedin.com/in/renadmalik PINTEREST: https://www.pinterest.com/renamalikmd/ TIKTOK: https://www.tiktok.com/RenaMalikMD ------------------------------------------------------ DISCLAIMER: This podcast is purely educational and does not constitute medical advice. The content of this podcast is my personal opinion, and not that of my employer(s). Use of this information is at your own risk. Rena Malik, M.D. will not assume any liability for any direct or indirect losses or damages that may result from the use of information contained in this podcast including but not limited to economic loss, injury, illness or death. Learn more about your ad choices. Visit megaphone.fm/adchoices

The Rest of Our Lives by Ben Markovits is a deeply human and tender story of a man's journey across North America. Ben joins us to talk about road trip novels, middle age, marriage, family and more with guest host Brenda Allison. This episode of Poured Over was hosted by Brenda Allison and mixed by Harry Liang.                     New episodes land Tuesdays and Thursdays (with occasional Saturdays) here and on your favorite podcast app. Featured Books (Episode): The Rest of Our Lives by Ben Markovits Queen Esther by John Irving Phineas Redux by Anthony Trollope The Immortalists by Chloe Benjamin Little One by Olivia Muenter  

MS NOW journalist (and Palisades native) Jacob Soboroff says covering the 2025 wildfires was the most important assignment he's ever undertaken. His new book, ‘Firestorm,' offers a minute-by-minute account of the catastrophe. He spoke with Tonya Mosley about the systems that failed during the disaster and the effort to rebuild. Also, Maureen Corrigan reviews the roadtrip novel ‘The Rest of Our Lives,' by Ben Markovits. Learn more about sponsor message choices: podcastchoices.com/adchoicesNPR Privacy Policy

This week on Marginalia, Beth Golay speaks with author Ben Markovits about his novel, The Rest of Our Lives. Plus book critic Suzanne looks ahead to some titles coming in 2026. And we're joined by Steve Iwanski, owner of Charter Books in Newport, Rhode Island who has some book recommendations.

Happy New Year! We're bringing back one of our favorite guest episodes with Kay & Tay, the internet's favorite duo. We talk about how their content blew up, their backgrounds, marriage and family life, and the behind-the-scenes reality of creating online every day. Light, wholesome, and the perfect easy listen to start the year. We scored some great deals with a few of our favorite brands for our listeners: Own your health for $365 a year. That's a dollar a day. Learn more and join using our/my link. Visit www.functionhealth.com/DANI or use gift code DAN/25 for a $25 credit towards your membership. Don't let financial opportunity slip through the cracks. Use code DANI at monarchmoney.com in your browser for half off your first year. Cotton is The Fabric of Our Lives and make sure you're checking tags to ensure it's the fabric of your life too. Learn more at TheFabricOfOurLives.com Visit containerstore.com and use code DANI at checkout for a discount on your purchase. If you're ready to take the next step in your life, whether that is merch, your own hair care line, or something in between, go to shopify.com/dani and make it happen. It doesn't matter where you're at in your entrepreneur journey, Shopify is there to make your life and selling journey easier. Learn more at Starbucks.com/partners Get last-minute hosting essentials, gifts for all your loved ones, and decor to celebrate the holidays for WAY less. Head to Wayfair.com right now to shop all things home. Make sure you're subscribed to our official channel on YouTube, @deinfluencedpodcast, and follow us on Spotify, Apple Podcasts, or wherever you get your De-Influenced fix! Stay connected with us on Instagram and TikTok @deinfluencedpodcast, and as always thank you for being a part of this journey. Produced by Dear Media

In the waning moments of 2025, Julia, Dana, and Steve say goodbye to the year that was with a beloved annual end-of-year tradition… our listener call-in show! And you delivered some great queries, dear listeners.  The hosts tackle questions about everything ranging from under-dramatized historical eras to Wuthering Heights to wedding registry etiquette. They also zoom out to grapple with a fundamental philosophical question underlying this whole show's existence and take a cue from Las Culturistas Bowen Yang and Matt Rogers for some Schimpfen und Toben. No endorsements this week. But for listeners in the New York area, don't miss Steve when he joins Booker Prize-finalist Ben Markovitz for a conversation about his new novel The Rest of Our Lives on January 5, 2026 at the Upper West Side Barnes & Noble. For Slate Plus subscribers, the hosts delight in answering an additional listener question in an exclusive bonus episode. They share their ideal cultural outings with their co-hosts. --- Email us your thoughts at culturefest@slate.com.  Podcast production by Benjamin Frisch. Production assistance by Daniel Hirsch. Learn more about your ad choices. Visit megaphone.fm/adchoices

In the waning moments of 2025, Julia, Dana, and Steve say goodbye to the year that was with a beloved annual end-of-year tradition… our listener call-in show! And you delivered some great queries, dear listeners.  The hosts tackle questions about everything ranging from under-dramatized historical eras to Wuthering Heights to wedding registry etiquette. They also zoom out to grapple with a fundamental philosophical question underlying this whole show's existence and take a cue from Las Culturistas Bowen Yang and Matt Rogers for some Schimpfen und Toben. No endorsements this week. But for listeners in the New York area, don't miss Steve when he joins Booker Prize-finalist Ben Markovitz for a conversation about his new novel The Rest of Our Lives on January 5, 2026 at the Upper West Side Barnes & Noble. For Slate Plus subscribers, the hosts delight in answering an additional listener question in an exclusive bonus episode. They share their ideal cultural outings with their co-hosts. --- Email us your thoughts at culturefest@slate.com.  Podcast production by Benjamin Frisch. Production assistance by Daniel Hirsch. Learn more about your ad choices. Visit megaphone.fm/adchoices

David Allen interviewed Daniel Levitin several years ago after the publication of The Organized Mind. In this interview, David talks with Daniel about his new book, Successful Aging: A Neuroscientist Explores the Power and Potential of Our Lives. They begin by discussing the neuroscientific basis for GTD. Then Daniel explains that there are two principles from GTD that are crucial for successful aging.  You can watch the entire conversation from July 2020 at GTD Connect®. -- This audio is one of many available at GTD Connect, a learning space and community hub for all things GTD. Join GTD practitioners from around the world in learning, sharing, and developing the skills for stress-free productivity. Sign up for a free guest pass Learn about membership options Knowing how to get the right things done is a key to success. It's easy to get distracted and overwhelmed. Stay focused and increase productivity with GTD Connect—a subscription-based online learning center from the David Allen Company. GTD Connect gives you access to a wealth of multimedia content designed to help you stay on track and deepen your awareness of principles you can also learn in GTD courses, coaching, and by reading the Getting Things Done book. You'll also get the support and encouragement of a thriving global community of people you won't find anywhere else. If you already know you'd like to join, click here to choose from monthly or annual options. If you'd like to try GTD Connect free for 14 days, read on for what's included and how to get your free trial. During your 14-day free trial, you will have access to: Recorded webinars with David Allen & the certified coaches and trainers on a wide range of productivity topics GTD Getting Started & Refresher Series to reinforce the fundamentals you may have learned in a GTD course, coaching, or book Extensive audio, video, and document library Slice of GTD Life series to see how others are making GTD stick David Allen's exclusive interviews with people in his network all over the world Lively members-only discussion forums sharing ideas, tips, and tricks Note: GTD Connect is designed to reinforce your learning, and we also recommend that you take a course, get individual coaching, or read the Getting Things Done book. Ready to start your free trial?

EPISODE 120 -  “REEL REFLECTIONS: STEVE & NAN'S FAVES IN CLASSIC CINEMA” - 12/29/25  As we say goodbye to 2025, Steve and Nan are wrapping up the year and ringing in the new one with much refection. In this fun episode, join the discussion as they talk about some of their favorite films, movie stars, and directors in a series of fun lists. Get to know our intrepid hosts better and find out just who they think was the Best Villain or Best Screen Kiss or Most Beautiful Actress in the golden era of Hollywood. Steve, Nan, Lindsay, and J.P. also want to thank you all for the steadfast support and kindness throughout the year.  May 2026 bring great things to all of you beautiful listeners out there! SHOW NOTES:  Sources: Wikipedia.com; TCM.com; IBDB.com; IMDBPro.com; Movies Mentioned: Ladies of Leisure (1930); Platinum Blonde (1931); Lady for a Day (1933); Alice Adams (1935); Stella Dallas (1936); My Man Godfrey (1936); These Three (1936); Dodsworth (1936); Come and Get It (1936); Mr. Deed Goes to Town (1936); The Awful Truth (1937); Night Must Fall (1937); Stella Dallas (1937); The Adventures of Robin Hood (1938); You Can't Take It With You (1938); Jezebel (1938); Love Affair (1939); Mr. Smith Goes to Washington (1939); Wuthering Heights (1939); Dark Victory (1939); The Return of Frank James (1940); The Letter (1940); Citizen Kane (1941); Penny Serenade (1941); Suspicion (1941); Western Union (1941); Meet John Doe (1941); The Little Foxes (1941); Mrs. Miniver (1942); Casablanca (1942); Now, Voyager (1942); Talk of the Town (1942); The Spider Woman (1943); Double Indemnity (1944); Going My Way (1944); The Woman in the Window (1944); Phantom Lady (1944); Christmas Holiday (1944); Ministry of Fear (1944); Woman In the Window (1944); Arsenic & Old Lace (1944); The Bells of St. Mary's (1945); Brief Encounter (1945); Leave Her to Heaven (1945); Mildred Pierce (1945); Our Vines Have Tender Grapes (1945); The Great Flamarion (1945); Two O'Clock Courage (1945); The Strange Affair of Uncle Harry (1945); Scarlet Street (1945); The Spiral Staircase (1946); It's a Wonderful Life (1946); Notorious (1946); Gilda (1946); The Best Years of Our Lives (1946); Kiss of Death (1947); The Bishop's Wife (1947); T-Men (1947); Nightmare Alley (1947); I Remember Mama (1948); Raw Deal (1948); Cry of the City (1948); They Live By Night (1948); Come to the Stable (1949); Criss Cross (1949); The Heiress (1949); White Heat (1949); Sunset Boulevard (1950); Harvey (1950); Side Street (1950); Winchester '73 (1950); The File on Thelma Jordan (1950); A Place in the Sun (1951); Clash By Night (1952); In a Lonely Place (1953); From Here to Eternity (1953); The Big Heat (1953); Shane (1953); The Clown (1950); White Christmas (1954); A Star Is Born (1954); The Night of the Hunter (1955); The Man From Laramie (1955); A Face in the Crowd (1957); An Affair to Remember (1957); The Tin Star (1957); Giant (1956); Elmer Gantry (1960); Splendor In the Grass (1961); The Manchurian Candidate (1962); Take Her, She's Mine (1963); The Sound of Music (1965); The Singing Nun (1966); Who's Afraid of Virginia Woolf? (1966); Once Upon a Time in the West (1968); The Way We Were (1973); The Godfather Part II (1974); Ordinary People (1980); --------------------------------- http://www.airwavemedia.com Please contact sales@advertisecast.com if you would like to advertise on our podcast. Learn more about your ad choices. Visit megaphone.fm/adchoices

#921: Join Michael Bosstick as he breaks down his proven year-themed framework for driving both personal & professional success. From building structure, creating purpose, & sharpening focus, to establishing clear direction through a single guiding theme. In this episode, Michael dives into how to audit your focus, set high-impact goals that actually move the needle, & use intentional theme-setting to eliminate distractions & achieve next-level success. To Watch the Show click HERE For Detailed Show Notes visit TSCPODCAST.COM To connect with Lauryn Bosstick click HERE To connect with Michael Bosstick click HERE Read More on The Skinny Confidential HERE Head to our ShopMy page HERE and LTK page HERE to find all of the products mentioned in each episode. Get your burning questions featured on the show! Leave the Him & Her Show a voicemail at +1 (512) 537-7194. This episode is sponsored by The Skinny Confidential Your skincare routine, reimagined. Shop The Skinny Confidential Face Towels today at https://shopskinnyconfidential.com/products/face-towels. This episode is sponsored by Geviti  Go to http://gogeviti.com/skinny and use code SKINNY at checkout for 20% off.  This episode is sponsored by Primal Kitchen It's easier than ever to find Primal Kitchen Pure Avocado Oil because it's now available at Walmart. You can find Primal Kitchen in Walmart stores or online at Walmart.com and http://PrimalKitchen.com. This episode is sponsored by Synergy Ready to get started on your very own gut health journey? Visit http://SYNERGYDRINKS.com to find your SYNERGY flavor today. This episode is sponsored by Cotton Cotton is The Fabric of Our Lives. Learn more at http://TheFabricOfOurLives.com. This episode is sponsored by Rebel  Spread some holiday cheer (and serious savings) at http://FromRebel.com. Produced by Dear Media  

Happy holidays! We're bringing back one of our favorite guest conversations with Jefferson Bethke, bestselling author and longtime creator. We talk fatherhood and building a stronger family team, why “mission” matters at home, and how to think about faith and culture without getting weird about it. It's practical, thoughtful, and still a fun listen for a slower holiday week. We scored some great deals with a few of our favorite brands for our listeners: Own your health for $365 a year. That's a dollar a day. Learn more and join using our/my link. Visit www.functionhealth.com/DANI or use gift code DAN/25 for a $25 credit towards your membership. Cotton is The Fabric of Our Lives and make sure you're checking tags to ensure it's the fabric of your life too. Learn more at TheFabricOfOurLives.com If you're ready to take the next step in your life, whether that is merch, your own hair care line, or something in between, go to shopify.com/dani and make it happen. It doesn't matter where you're at in your entrepreneur journey, Shopify is there to make your life and selling journey easier. Learn more at Starbucks.com/partners Give yourself the luxury you deserve with Quince! Go to Quince.com/dani for free shipping on your order and 365-day returns. Make sure you're subscribed to our official channel on YouTube, @deinfluencedpodcast, and follow us on Spotify, Apple Podcasts, or wherever you get your De-Influenced fix! Stay connected with us on Instagram and TikTok @deinfluencedpodcast, and as always thank you for being a part of this journey. Produced by Dear Media

After thinking it was lost to the sands of internet time, our team uncovered a 2013 gem from the archives. In the “The Abstract Noun Edition,”  your favorite Gabfesters talk about how we talk. Steve, Dana, and Julia discuss the elements of language: vocabulary, conversation, and voice. In paroxysms of polysyllables, they invoke their favorite writers—and their least favorite linguistic tics—to probe the best and worst of the English language. Why should you eschew the word “eschew”? What does “shibboleth” really mean? And where is the line between a strong voice and self-parody? Speaking of self-parody, check out these very on-brand 2013 Endorsements: Dana: The Sounding Joy, a CD collection of folk carols, collected by Smithsonian Folkways Recordings and performed by Elizabeth Mitchell. (Now available on streaming.) Julia: Creating an iTunes playlist of all songs you've played more than 10 times and then shuffling them. You'll rediscover old gems like “The Size of Our Love” by Sleater Kinney. Steve: The mind-bending “Monty Hall problem,” as originally described by Marilyn vos Savant in Parade Magazine. If you're in New York on January 5, don't miss some real life vocabulary, conversation, and voice when Steve joins Booker Prize-finalist Ben Markcovits for a conversation about The Rest of Our Lives — details here. Learn more about your ad choices. Visit megaphone.fm/adchoices

After thinking it was lost to the sands of internet time, our team uncovered a 2013 gem from the archives. In the “The Abstract Noun Edition,”  your favorite Gabfesters talk about how we talk. Steve, Dana, and Julia discuss the elements of language: vocabulary, conversation, and voice. In paroxysms of polysyllables, they invoke their favorite writers—and their least favorite linguistic tics—to probe the best and worst of the English language. Why should you eschew the word “eschew”? What does “shibboleth” really mean? And where is the line between a strong voice and self-parody? Speaking of self-parody, check out these very on-brand 2013 Endorsements: Dana: The Sounding Joy, a CD collection of folk carols, collected by Smithsonian Folkways Recordings and performed by Elizabeth Mitchell. (Now available on streaming.) Julia: Creating an iTunes playlist of all songs you've played more than 10 times and then shuffling them. You'll rediscover old gems like “The Size of Our Love” by Sleater Kinney. Steve: The mind-bending “Monty Hall problem,” as originally described by Marilyn vos Savant in Parade Magazine. If you're in New York on January 5, don't miss some real life vocabulary, conversation, and voice when Steve joins Booker Prize-finalist Ben Markcovits for a conversation about The Rest of Our Lives — details here. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, we end our journey at the Stable, the humble place where God chose for us to meet His Son. We reflect on the stable of our own hearts, how Jesus chooses to meet us in our own poverty now, and why His very presence brings healing. We also talk about how when we sit in our emptiness, release control, and surrender each part of our lives to God, He is able to work more powerfully in our lives. Finally, we ponder Mary's quiet and loving gaze upon the Christ Child and how we are invited to slow down and notice Jesus smiling back at us.  Friends, we've deeply enjoyed journeying with you this year. As we take a break, please know you are in our prayers. We will see you on January 19th, 2026 when Season 18 begins! Have a blessed and merry Christmas!   Heather's One Thing - Our Abiding Together staff: Camille, Kate, and Kristina! Heather's Other One Thing - The Sisters of Life new St. Francis convent in Steubenville Heather's Third One Thing - Every Sacred Sunday's Edition of the  Catechism of the Catholic Church Sister Miriam's One Thing - Our listeners and Patreon supporters. Thank you! Sister Miriam's Other One Thing - Philosophy and Healing (with Fr. Matthew Rolling) from the Restore the Glory Podcast Michelle's One Thing - The beauty of the different religious orders!   Finally, we arrive at the Stable — the poorest of places, and yet, the holiest of all. Here, in straw and silence, the Infinite takes on skin. The cry of a newborn splits the night open, and suddenly, everything is sacred again The invitation into the mess  Into our own poverty… The cry of our humanity … Worship is not what we think it will look like.    Other Resources Mentioned:  The Nativity Painting by Caravaggio Living from the Heart Jesus Gave You by Dr. James Friesen   Journal Questions: Where do I find myself in "unsatisfactory condition"? What are the scandalous places within me that I want to keep away from the Lord? How am I managing my own creativity rather than welcoming the Holy Spirit into my creativity? What beliefs am I carrying deeply about God? How does God want to heal these beliefs? Where am I afraid? How can I make space for Jesus and spend time with Him in this Christmas season?   Discussion Questions: How are you tempted to sanitize the Mystery of the Incarnation in your own life? Where in my life do I need a new perspective? When have you experienced God coming to you in a way you weren't expecting Him to? How am I seeking control in this season? How can I surrender that control? What are the stables of my life that God is inviting me into deeper surrender?   Quote to Ponder: "I am so glad Jesus was born in a stable, because my soul is so much like a stable. It's poor and in unsatisfactory condition - Yet, I believe that if Jesus can be born in a stable, maybe he can be born in me." (Dorothy Day)   Scripture for Lectio: "In those days a decree went out from Emperor Augustus that all the world should be registered. This was the first registration and was taken while Quirinius was governor of Syria. All went to their own towns to be registered. Joseph also went from the town of Nazareth in Galilee to Judea, to the city of David called Bethlehem, because he was descended from the house and family of David. He went to be registered with Mary, to whom he was engaged and who was expecting a child. While they were there, the time came for her to deliver her child. And she gave birth to her firstborn son and wrapped him in bands of cloth, and laid him in a manger, because there was no place for them in the inn." (Luke 2:1-7)   Sponsor - Fully Mediterranean: Our sponsor today is Fully Mediterranean, a company dedicated to helping people discover the Mediterranean diet and lifestyle, a way of eating and living that is both deeply nourishing and beautifully simple. At Fully Mediterranean, they believe that good health and good food go hand in hand—and that both of these begin in the same place: around the table, where we slow down, gather, connect, and are reminded of God's goodness in the everyday moments of life. It's where we feed not only our bodies, but also our relationships. And it's often where we rediscover joy, connection, and presence. Fully Mediterranean was built on a mission to help people discover a simple, nourishing way of eating and living—a way that brings peace, beauty, and balance into everyday. Their approach is not about pressure or perfection. It's about gently integrating habits that help you live fully, with a sense of gratitude and mindfulness that aligns beautifully with our Catholic faith. What makes the Mediterranean lifestyle so special is that it's not just a way of eating; it's a way of living. It's a lifestyle shaped by mindfulness, by community, and by gratitude. It's about slowing down, savoring what God provides, and sharing meals with the people He places in our lives. It's about choosing foods that nourish the body He entrusted to us—vibrant  vegetables, wholesome grains, fresh herbs, lean proteins, and healthy fats—while also embracing the joy and connection that come from preparing and enjoying meals with others. Fully Mediterranean provides practical, realistic tools, guidance, and inspiration to help you bring these values into your kitchen and everyday life. Through recipes, programs, workshops, and practical nutrition guidance, we help women simplify healthy eating, feel confident in the kitchen, and rediscover the joy that comes from preparing meals that are both good for the body and soul-satisfying. In a world filled with noise, pressure, and quick fixes, the Mediterranean lifestyle offers something gentler and more grounded—an invitation to live intentionally, joyfully, and wholeheartedly. It encourages us to choose foods that honor the bodies God created, to gather more often with the people we love, and to find celebration in simple, nourishing routines. Whether you're looking to support your long-term health, gain energy for your daily responsibilities, or create more meaningful rhythms in your home, Fully Mediterranean is here to guide you every step of the way. We want to help you build a lifestyle that supports your well-being and draws you closer to living the full, abundant life God desires for you.  Because at Fully Mediterranean, we believe that when you nourish your body well, you nourish every part of your life. And when you gather at the table with gratitude, intention, and love, you reflect God's goodness in the most natural, beautiful way. If you're ready to bring more peace, health, and joy into your kitchen—and your life—we invite you to explore all that Fully Mediterranean offers. Discover delicious recipes, practical tips, and inspiring resources designed to help you integrate the Mediterranean way of living into your daily routine with ease and grace. Join us and use the code Abidingtogether20 to receive 20% off any of our products, including our course, ebooks and Substack membership. Join the 30-day Mediterranean challenge starting January 1st for just $8. Visit us at www.fullymediterranean.com, Substack: fullymediteranean.com.substack.com and @fullymediterranean   Chapters:   00:00 Fully Mediterranean  01:37 Intro 02:30 Welcome to the Stable 05:56 Guiding Quote and Scripture Verse 07:12 The Poverty of Our Hearts 11:26 Surrendering the Messy Parts of Our Lives 15:30 Healing Our Image of God 19:31 What it Means to Ponder 21:37 Making Space in the Midst of a Busy Season 28:27 Season 18 Announcement! 28:58 One Things   Music used under license i94Cr0 

On this week's show, Dana and Steve are joined by guest host Rebecca Onion for a Gabfest first: a segment about something from the sprawling Taylor Sheridan television universe. They strap on their cowboy boots and hop in the pickup for a conversation on season 2 of Landman which stars a rangy and world-weary Billy Bob Thornton as an oil industry fixer. Next, they turn north of the border for some good, old fashioned, Canadian gay hockey romance. They discuss HBO's surprise—and surprisingly graphic—hit Heated Rivalry. The series sure is steamy, but does it feature enough hockey?  Finally, they mourn the passing of legendary filmmaker and Hollywood omnipresence Rob Reiner. They share their favorite moments from his films. Given those films include Stand By Me, When Harry Met Sally, Misery, The Princess Bride, and many more indelible classics, there's much to share. Endorsements Rebecca: The podcast Posting Through It featuring hosts Jared Holt and Michael Edison Hayden discussing the ins and outs of rightwing infighting and the recipe Holiday Rocky Road by Sohla el-Waylly in New York Times Cooking. Steve: For more melancholic Christmas music, Duke Ellington's Nutcracker Suite. Also, the Booker Prize short-listed novel The Rest of Our Lives by Ben Markovits, who Steve will be in conversation with at an event on January 5, 2026 at the Upper West Side Barnes & Noble— details here. Dana: The Rob Reiner-directed documentary Defending My Life about his childhood friend Albert Brooks and this brilliant clip of Rob Reiner at his 2000 Friar's Club Roast reading from Roger Ebert's legendary pan of Reiner's film North . Learn more about your ad choices. Visit megaphone.fm/adchoices

On this week's show, Dana and Steve are joined by guest host Rebecca Onion for a Gabfest first: a segment about something from the sprawling Taylor Sheridan television universe. They strap on their cowboy boots and hop in the pickup for a conversation on season 2 of Landman which stars a rangy and world-weary Billy Bob Thornton as an oil industry fixer. Next, they turn north of the border for some good, old fashioned, Canadian gay hockey romance. They discuss HBO's surprise—and surprisingly graphic—hit Heated Rivalry. The series sure is steamy, but does it feature enough hockey?  Finally, they mourn the passing of legendary filmmaker and Hollywood omnipresence Rob Reiner. They share their favorite moments from his films. Given those films include Stand By Me, When Harry Met Sally, Misery, The Princess Bride, and many more indelible classics, there's much to share. Endorsements Rebecca: The podcast Posting Through It featuring hosts Jared Holt and Michael Edison Hayden discussing the ins and outs of rightwing infighting and the recipe Holiday Rocky Road by Sohla el-Waylly in New York Times Cooking. Steve: For more melancholic Christmas music, Duke Ellington's Nutcracker Suite. Also, the Booker Prize short-listed novel The Rest of Our Lives by Ben Markovits, who Steve will be in conversation with at an event on January 5, 2026 at the Upper West Side Barnes & Noble— details here. Dana: The Rob Reiner-directed documentary Defending My Life about his childhood friend Albert Brooks and this brilliant clip of Rob Reiner at his 2000 Friar's Club Roast reading from Roger Ebert's legendary pan of Reiner's film North . Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Church history and doctrine professor Casey Paul Griffiths discusses his book The Four Loves and the Latter-day Saints: The Nature of Love in All Facets of Our Lives. Drawing on C.S. Lewis's framework and restored gospel teachings, he explains the four forms of love—familial, friendly, romantic, and divine—and why understanding their differences matters for Latter-day Saints. Professor Griffiths highlights the limitations of the English phrase "I love you," noting how it carries multiple meanings that other languages express more precisely. He teaches that distinguishing between these types of love deepens our understanding of ourselves, our relationships, and God. Using scriptural and prophetic insights, he shows how divine love forms the foundation of all human connections. Throughout the episode, Griffiths offers practical ways to apply each form of love, helping listeners strengthen marriages, friendships, families, and their relationship with God. Ultimately, the conversation provides an inspiring look at what it means to love as Christ taught and how a clearer grasp of the "four loves" can elevate every relationship in our lives. Publications: The Four Loves and the Latter-day Saints: The Nature of Love in All Facets of Our Lives (Cedar Fort, 2023) Restorations: Scholars in Dialogue from Community of Christ and The Church of Jesus Christ of Latter-day Saints (Religious Studies Center, 2022) "The First Vision Goes to the Movies," in Joseph Smith and His First Vision: Context, Place, and Meaning (Religious Studies Center, 2021) Website: https://www.facebook.com/bro.griffiths Click here to learn more about Casey Griffiths

#900. Today on Off the Vine, Kaitlyn sits down with the internet's favorite poet — the woman whose words somehow manage to read our minds — Josie Balka.They unpack the unexpected moment her career began with one poem at 30, how everything blew up overnight, and what it was like when Hollywood royalty started using her sounds. Josie opens up about creating her own music, the pressure of writing work that feels like hers, and the mindset shift that made her embrace her “luckiest girl in the world” era.She also gets beautifully vulnerable — diving into the love stories behind her second book Loves of Our Lives, the friendships that shaped some of her most emotional pieces, the cosmetic surgeries she chose entirely for herself, and her hilariously relatable take on being a “pessimistic optimist,” aka constantly worrying every good thing might be the last good thing.It's girl talk, real talk, and everything in between. Enjoy!If you're LOVING this podcast, please follow and leave a rating and review below! PLUS, FOLLOW OUR PODCAST INSTAGRAM HERE!Thank you to our Sponsors! Check out these deals!Bombas: Head over to Bombas.com/vine and use code vine for 20% off your first purchase.Aura Frames: For a limited time, visit AuraFrames.com/vine and get $35 off Aura's best-selling Carver Mat frames - named #1 by Wirecutter - by using promo code VINE at checkout.Chewy: Every pet deserves a wish come true. Send your pet's wish to Chewy.com/ChewyClaus and it might become a reality. Plus, your wish means Chewy will donate 5 meals to pets in need.Quince: Go to Quince.com/vine for free shipping on your order and 365-day returns. Now available in Canada, too!Better Help: Off the vine listeners get 10% off at BetterHelp.com/VINE.Pura: Right now, when you subscribe to two scents for 12 months you get the Pura 4 for free. Don't wait—this limited-time offer won't last. Try it risk-free for 30 days now at pura.comEPISODE HIGHLIGHTS: (07:36) How it all began: Josie shares the story of turning 30, writing one poem on a whim, and waking up to her life completely changed after it went viral.(21:49) The “luckiest girl in the world” mindset: how shifting her perspective transformed her confidence, creativity, and career.(35:38) Josie reads a poem from her new book Loves of Our Lives.(40:01) Josie gets real about the cosmetic surgery she's had, why she chose it, and how she approaches transparency with her audience.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

When we try to commune with nature, many of us turn toward the living: a walk in the woods among swaying trees, chirping birds, blooming flowers.But earth scientist Anjana Khatwa says not to overlook the inanimate—don't sleep on rocks. She joins Host Flora Lichtman to talk about her love for rocks beyond the scientific and her new book, The Whispers of Rock.Read an excerpt from The Whispers of Rock: The Stories That Stone Tells about Our World and Our Lives.Guest: Dr. Anjana Khatwa is a geologist and author of The Whispers of Rock: The Stories That Stone Tells about Our World and Our Lives.Transcripts for each episode are available within 1-3 days at sciencefriday.com. Subscribe to this podcast. Plus, to stay updated on all things science, sign up for Science Friday's newsletters.