Podcasts about Ilya

Loon Comrades! You know this couldn't be a book podcast if I only gave you an episode on the Heated Rivalry show. Today, I'm talking about Heated Rivalry: the book by Rachel Reid with my certified Local Gay Icon™  friend, Braun, who says both the show and the book changed his life, and his perspective on the possibilities of queer media. We squeal over Shane, Ilya, Scott, and Kip; pitch some fanfic ideas featuring a surprise guest we're both a fan of; and talk about how the book differs from the show (and which one we like better). Also, stick around to the end to listen to us convince you to run for local office! Connect with Braun: Instagram Fated States Oath (local political donation)   Subscribe! Follow! Rate! Review! Tell your friends and family! Bookshop.org Storefront: buy a book mentioned in the episode through this link and I earn a small commission Buy me coffee WRION merch! My feminist, sapphic, bookish Etsy shop! Instagram/Threads: @wereaditonenight TikTok: @wereaditonenight Facebook: We Read It One Night Email: wereaditonenight [at] gmail.com

Die kanadische Serie „Heated Rivalry“ ist eine Low-Budget-Produktion, die sich zu einem globalen Phänomen entwickelt hat. Millionen Clips geistern durch die Sozialen Medien, vor allem ein weibliches Publikum ist von der Geschichte der schwulen Eishockey-Spieler Shane und Ilya angezogen. Die bis dato unbekannten Schauspieler Hudson Williams und Connor Storrie sind über Nacht zu Stars geworden. Tatsächlich sind sie es, die der sonst eher dürren Geschichte Intensität verleihen. Ins Auge fallen vor allem die expliziten Szenen, die für eine Mainstream-Produktion eher ungewöhnlich sind. Was aber sagt uns der Erfolg über das Verhältnis von Verbot und Befreiung aus? Geht es hier wirklich um eine Coming-Out Geschichte, die sich für mehr Liberalisierung einsetzt? Wie blicken wir mit Sigmund Freud und Michel Foucault auf die Serie? Mehr dazu von Wolfgang M. Schmitt in der neuen Filmanalyse! Literatur:Michel Foucault: Der Wille zum Wissen. Sexualität und Wahrheit 1. Suhrkamp.Michel Foucault: Die Sorge um sich. Sexualität und Wahrheit 3. Suhrkamp.Sigmund Freud: „Über die allgemeinste Erniedrigung des Liebeslebens“, in: Sexualleben, Studienausgabe Bd. 5, Fischer.  Jetzt ist der neue DeepDive erschienen. Es geht um die Berlinale-Debatte, Wim Wenders, Ethan Hawke, Neil Patrick Harris und die Frage, wie (un)politisch Filme und Künstler sein können. Die gesamte Folge ist hörbar über ein Abo von Die Filmanalyse Plus. Das Abo gibt es bei Steady als Monats- und vergünstigtes Jahresabo. Der RSS-Feed ist automatisch mit Spotify verknüpft, kann aber auch in alle Podcatcher eingefügt werden:https://steady.page/de/die-filmanalyse-abo/aboutApple-Podcast:https://podcasts.apple.com/de/podcast/die-filmanalyse/id1586115282Patreon (jedoch ist hier der RSS-Feed nicht mit Spotify verknüpft):https://www.patreon.com/c/wolfgangmschmitt/homeDie Filmanalyse +ABO kann man auch für ein Jahr verschenken:https://steady.page/de/die-filmanalyse-abo/gift_plans 

There's a cult TV show that half the world knows about and is OBSESSED by, and the other half has no idea whatsoever.That show is Heated Rivalry and Yumi counts herself as completely, 100% indoctrinated into the cult of Shane and Ilya. In today's episode, Yumi discovers that Simon has actually watched it as well !! and nearly implodes in delight. She also has a TUNA MELT recipe (IYKYK) that looks a lot like this one, with a few variations.TUNA SALAD FOR TUNA MELT1 well-drained 425g tin tuna2 celery sticks, dicedfreshly chopped parsley, 1/4 cup3 gherkin pickles, finely chopped, or 10 cornichons1/2 cup of good mayonnaise, to taste (add more or less depending on how you like it)salt, pepper, chilli flakesMETHODAssemble and mix the tuna salad. (This can be made ahead until your "boring" hot boyfriend comes over.)Turn on the grill or sandwich press.Spoon it out onto good quality sourdough bread.Top with 2 slices of American cheese or grated tasty.Pop under the grill until melted.Top with another piece of bread, press it down, then return the whole thing to the grill until toasted. Flip to toast the other side. Serve immediately. With ginger ale. Hosted on Acast. See acast.com/privacy for more information.

Heated Rivalry von Rachel Reid ist eine MM Hockey Romance und aktuell die trendigste Gay Romance-Neuerscheinung – und das nicht nur, weil das Buch verfilmt wurde und gerade erst auf HBO Max in Deutschland angelaufen ist. Wir fragen uns (und gemeinsam mit Nadja): Ist diese Hockey Romance / Sports Romance wirklich so außergewöhnlich, wie der Hype in der Buch- und Social Media-Welt vermuten lässt? In dieser Folge von Hey Booklovers sprechen wir mit unserer Freundin und Romance-Expertin Nadja Katzenberger über das Buch. Nadja und Kati haben beide Heated Rivalry schon gelesen und sind der Meinung: Heated Rivalry ist ein Must-Read und sticht innerhalb der Romance-Welt besonders heraus – vor allem wegen der Figurenentwicklung, wie Gleichberechtigung und Konsens dargestellt wird und wegen der emotionalen Dynamik zwischen Shane und Ilya. Tina hat das Buch noch nicht gelesen, geht also unvorbereitet und eher skeptisch in das Gespräch. Sie kennt weder Autorin noch Reihe oder Fandom und fragt sich, ob MM Sports Romance wirklich das richtige Genre für sie ist. Was meint ihr? Schaffen es Kati und Nadja, Tina davon zu überzeugen, das Buch tatsächlich zu lesen? Die Antwort (und noch einiges mehr) hört ihr in dieser Folge. Diskutiert gerne weiter mit uns auf Instagram unter @heybooklovers.

In this episode, the mates, along with guest Ben Horowitz, explore Elon Musk's shift to lunar AI data centers, mass drivers, O'Neill cylinders, Dyson swarms, and Optimus robots pioneering space. Get notified once we go live during Abundance360: https://www.abundance360.com/livestream  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Ben Horowitz is a cofounder and general partner at Andreessen Horowitz (a16z), NY Times bestseller author, and creator of the a16z Cultural Leadership Fund. Salim Ismail is the founder of OpenExO Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding   Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   _ Connect with Peter: X Instagram Connect with Ben X Instagram Linkedin Learn about a16z Connect with Dave: X LinkedIn Connect with Salim: X Join Salim's Workshop to build your ExO  Connect with Alex Website LinkedIn X Email Substack  Spotify Threads Listen to MOONSHOTS: Apple YouTube – *Recorded on February 13th, 2026 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

“ICH WILL DICH!” Dieses Gefühl ist plötzlich da und dann... plötzlich weg? Wir schauen uns an, warum Begehren in Beziehungen schwankt, welche Rolle unser Nervensystem, Stress und kulturelle Prägungen spielen – und wie sich Verlangen neu entfachen lässt. Ausserdem: Ein Blick auf das Begehren in der Erfolgsserie HEATED RIVALRY

On this episode of Future of Freedom, host Scot Bertram is joined by two guests with different viewpoints about ICE immigration enforcement efforts in the country. First on the show is Cameron Abrams, policy analyst for Next Generation Texas at the Texas Public Policy Foundation. Later, we hear from Ilya Somin, B. Kenneth Simon Chair in Constitutional Studies at the Cato Institute, and a professor of law at George Mason University. You can find Cameron on X @CameronSAbrams and Ilya at @IlyaSomin. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send a textIn this bonus episode, two Cubs fans talk about the most watched sports related TV series in the world right now, Heated Rivalry.Support the showFollow us:Twitter @PodcastMistakenInstagram @MistakenIdentityMediaFacebook @MistkenIdentityMediaTik Tok @FrankWalkerIVPatreon (watch our episodes) Mistaken Identity PodcastWebsite PodPageEmail: MistakenIdentityMedia@gmail.com

Welcome to Happy Wife Happy Life! We're your hosts, Kendahl Landreth and Jordan Myrick: two very unqualified (but deeply in love) comedians who are here to help you navigate all things relationships. On this week's episode, we discuss Kendahl's "broken" ankle, nudity, and being part of a fandom. New episodes every Monday on YouTube OR you can listen anywhere you get your podcasts. Get premium wireless for $15/month on a 3, 6, or 12 month plan at http://MintMobile.com/WIFE Elevate your space & refresh your home @ http://Wayfair.com Listen on Spotify: ⁠https://tr.ee/L6caUcW97P ⁠Listen on Apple Music: ⁠https://podcasts.apple.com/us/podcast/happy-wife-happy-life/id1721222550 Follow us on Instagram: ⁠https://tr.ee/QUIqFa-P3z⁠ Follow us on TikTok: ⁠https://www.tiktok.com/@hwhlpodcast?lang=en JOIN OUR PATREON: https://www.patreon.com/c/HappyWifeHappyLife Email us your love and dating questions and we might answer them on the podcast! hwhlpodquestions@gmail.com Executive Producer: Jordan Myrick and Kendahl Landreth Senior Producer: Blake Smith Art Design: Liv Averett Graphic Design: Justin Crowell Photos: Lee Jameson

Welcome to the cottage! Join me, Molly, and Lindsey while we chat all things Shane and Ilya! This was such a fun episode and honestly made us look a little deeper at our hockey romance reading habits (spoiler we need to add more to our lists)! If you're a fan of the show or read the book, or both, this episode was made for you. So get on your cozy Canada sweaters and come join us and the stupid wolf birds for this episode. If you're not following Molly, check her out on Instagram and TikTok and make sure to check out Lindsey on Instagram and TikTok now! This episode is sponsored by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Fable Grounds Coffee⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Use code LLAMA10 to save.Please subscribe, leave us a 5-star review, and follow along on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tiktok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ @TheBookishBanterPodcast. Check out the website ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠! If you want to check out our Patreon, click ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for behind-the-scenes content and bonus episodes!!! Follow Tatyana on ⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tiktok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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Rachel Reid is the New York Times bestselling author behind Heated Rivalry, the novel whose television adaptation introduced her Game Changers book series to millions of new fans. Reid sits down with Jenna Bush Hager to talk about how the explosive success of Heated Rivalry has transformed her life, what it was like receiving a life-changing DM from filmmaker Jacob Tierney just days after her Parkinson's diagnosis, and the pressure of continuing to expand the Game Changers series with millions watching closely. Plus, Reid teases what to expect from the series' latest book, Unrivaled, and opens up about if she knows how Shane and Ilya's story ends. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send a text(spoilers for show + books)We wrap up our reheat in April 2017, when Ilya returns from Russia and faces Shane in Montreal. After a hospital visit leads to an invitation to the cottage, a groundbreaking moment in the hockey world gives them hope for something more.Their escape forces Shane to confront his family and his truth, while Ilya makes the ultimate choice to move to Ottawa and build a life closer to him. Together, they take their first real steps toward a future that was once impossible.Next up, The Long Game.Instagram and TikTok @DTFaePodcast. If you are enjoying the show, subscribing, rating, and reviewing helps the podcast grow. Merch available on dtfaepodcast.com.

In Part Three of this Heated Rivalry series, I turn my attention to Ilya and the moment in Episode Five that changed how I understood his character entirely. When Shane lets Ilya speak in Russian — without translation, without explanation — the series opens into a deeper story about borders, belonging, and the cost of building a life far from home.This episode explores Ilya not just as a romantic lead, but as a figure shaped by immigration, queerness, and the constant negotiation between safety and authenticity. From a therapeutic lens, I reflect on what it means to live at the intersection of national, legal, and relational borders, and why being allowed to speak from one's deepest interior world — even when it cannot be fully understood — can be a profoundly human form of connection.This is one angle on Heated Rivalry, and part of a larger ongoing conversation. There is much more still to explore, but here I stay with Ilya, Episode Five, and the quiet devastation — and courage — of being foreign everywhere.

What does it really take to move from a childhood in a Soviet special music school to the principal chair of a top American orchestra? The Cello Sherpa Podcast Host, Joel Dallow, sits down with Ilya Finkelshteyn to trace that journey, through refugee camps, early months in Minnesota with two suitcases and $300, a total technical rebuild at Juilliard with Harvey Shapiro, and a relentless audition circuit that demanded both resilience and precision.Ilya opens the curtain on how committees actually listen. The first-round filter isn't mystery or style, it's consistent intonation, reliable rhythm, and clear dynamic contrast. He shares the training habits that hold up under pressure: drones and tuners to expose tendencies, perfect intervals that must truly lock, open-string checks, and practicing in resonant spaces to hear pitch “hang” in the air. He even offers a pragmatic safety net for intervals when adrenaline spikes, an approach that protects musical integrity without freezing expression.We also dig into leadership from the first stand. Ilya's philosophy is simple and demanding: orchestra is chamber music writ large. He asks for active playing across the section, minimal talking from him to the section, sharp listening, and smart energy management. It took more than seven years to feel fully at home in the chair, long enough to cycle the core repertoire and learn when to blend and when to step out. Along the way, he makes a case for sustainable careers: secure an institutional “address” for stability, then build a rich mix of orchestra work, chamber music, solo spots, and teaching.If you care about orchestra auditions, cello technique, or the realities of principal leadership, this conversation delivers practical steps, hard-won insight, and a clear path you can apply today. If it resonates, follow the show, share it with a friend, and leave a quick review—what's the one practice change you'll make this week?For more information on Ilya: https://www.ilya-finkelshteyn.com/You can also find Ilya on Facebook and Instagram: @ilfink1217If you are looking for in person/virtual cello lessons, or orchestral repertoire audition coachings, check out www.theCelloSherpa.comFollow us on Facebook, Instagram, Threads & YouTube: @theCelloSherpaFor more information on our sponsor: www.CLEAResources.com 

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

Derek and Geo are joined by Bobby and Ilya of the Before Hours Podcast to discuss Derek's history with crime in the NJ/NY area, Bobby performing an American history show at Edinburgh Fringe Festival, the Irish, the Philippines, Ilya's work in immigration, and lots of serious interesting topics.Air Date 2.2.26 Join the live chat Wednesday nights at 11pm EST. Uncensored versions of the show streamed Monday and Thursday at 2pm EST on GaSDigital.com. Signup with code OTG for the archive of the show and others like Legion of Skanks, In Godfrey We Trust, and Story Warz. FOLLOWGeo PerezInstagram - https://www.instagram.com/geoperez86/Derek DrescherInstagram - https://www.instagram.com/derekdrescher/On The Gate! A podcast hosted by two jailbird/recovering drug addicts and active comedians Geo Perez and Derek Drescher, who talk each week about their times in jail, what they learned, what you should know, and how they are improving their life or slipping into recidivism each day!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

I am back with a brand new set of cohosts!! This episode I have Jeremy, Susan, and Aliza joining me to dive into flirty text montages, a sex scene far too tender to be casual, the emotional terror that is the Sochi Olympics, panic attacks in award show bathrooms, and crying in Vegas... again.So sorry for my elderly dog barking like mad from around minute 13 to around minute 40. You can only hear it when I talk and I tried to cut as much out as I could. He is seventeen and usually my partner is home to sit with him while I record but unfortunately for the first hour of this recording that was not an option.Here is the link to Ilya's perspective on Vegas from Rachel's website that is heavily referenced in the episode.Follow Jeremy!Follow Aliza!Follow Susan!Join our Patreon for early access to episodes + more bonus content: ⁠⁠tinyurl.com/WhyAreWePatreon⁠⁠If you are enjoying the pod, please consider rating and reviewing on your preferred platform! We would greatly appreciate it!Follow us online:Insta: ⁠⁠tinyurl.com/WhyareweInsta⁠⁠Discord: ⁠⁠discord.gg/xg5dpEyfgX⁠⁠Follow Ash: ⁠⁠tinyurl.com/Ashonline⁠⁠A special thanks to the following Producers. We appreciate you so much!Amalie  SarahSaschaMeghanLaura

"Heated Rivalry" beschreibt die Liebesgeschichte von Profi-Eishockeyspielern Shane und Ilya. Der Roman von Rachel Reid ist smutty, spicy und herzerwärmend - die gleichnamige Serie nicht weniger. Wir fragen uns, wie die Geschichte Männlichkeit darstellt, welche realen, positiven Auswirkungen sie schon für das Leben von LGBTIQ+ Personen im Profisport hat und warum vor allem Heterofrauen "Heated Rivalry" lieben. Im Interview hört ihr außerdem Clara Stern, Drehbuchautorin und Regisseurin von "Breaking the Ice" (2022) - dem weiblichen, österreichischen Pendant zu "Heated Rivalry". Wer den Film schauen will, kann das in Österreich noch bis 17.2.2026 auf ORF ON, danach wird der Film auf  der österreichischen Streamingplattform www.vodclub.online verfügbar sein. In Deutschland findet ihr den Film auf den großen Streaming-Plattformen. Das gesamte Interview mit Clara Stern werden wir noch gesondert als Bonusfolge veröffentlichen - freut euch drauf! *Diese Folge wird präsentiert vom Ecco Verlag: "Pizza Orlando" von Clara Umbach ist eine queere Liebesgeschichte zwischen Hamburg und Berlin. Nina und Clara schreiben sich Chatnachrichten zu Liebe und Tod, Alltag und Zukunft... Die Neuerscheinung hat 176 Seiten und gibt's überall, wo es Bücher und eBooks gibt. *bezahlte Anzeige Werdet Teil unserer Steady-Community! Ihr wollt Teil der Die Buch-Community werden? Mit einem kleinen Beitrag seid ihr schon dabei! Tauscht euch mit uns über Bücher und Feminismus aus, holt euch tolle Goodies und helft uns nebenbei, schreibenden Frauen eine Plattform zu geben. Alle Infos findet ihr unter www.steady.page/diebuchpodcast. Quellen: Coach Jackie auf Instagram  Washington Post, "Heated Rivalry is a hit in Russia" ,21.1.2026 CBC, "Russia's anti-LGBTQ+ laws haven't stopped fans there from embracing Heated Rivalry", 17.1.2026 BBC, "Heated Rivalry inspired me to come out as gay", 31.1.2026

Jesse Townes is on the show, and we are talking about Heated Rivalry!! Because we are obsessed, and it's an amazing way to talk about different relationships! We cover yearning, Shane and Ilya's attachment styles, the little details of the show we love, the sexy scenes, the club montage, the cottage, Scott/Kip, My moon my man, Rose, and basically every part of the show. We also nibble on dyslexia, how much money you make in TV, Quinn, frotting, Ryan Murphy, wedding, Jane Austin Period Drama, Rain fall showers, shower sex. 

What's up Bros? What a finale. What a story arc. What story telling. Episode 5 we get one of the most beautiful episodes of tv ever made. We finally get answers about Scott and Kip in a beautiful moment on the ice. Ilya heads back to Russia to take care of his family affairs after the passing of his father. But Shane and Ilya's feelings are getting too strong to ignore. After Scott Fu*kin Hanson makes history by giving Kip a big fat smooch after winning the Stanley Cup, it gives Ilya the confidence to agree to join Shane in his cottage over the summer. But will their private getaway be interrupted...? Learn more about your ad choices. Visit megaphone.fm/adchoices

Sarah and Kelli discuss the show Heated Rivalry with Stephen Wayne and Jeff Querin of 34 West Productions. Topics include: 34 West Theater, Sarah's cousin Frank, films Steve and Jeff are working on, winning Emmys, realistic depictions of 2 men falling in love, Ilya's defense mechanism, consent, the third episode shift, telegraphing moments, Letterkenny, runny smoothies, butterflies, Kip and Scott's love story, Reheated Rivalry, the theory that Scott Hunter knew about Ilya and Shane, hockey $, Columbus Blue Jackets, All The Things She Said, the Shane/Rose relationship, seeing new talent, that moment on the ice and Shane and Ilya's reaction, coming to the cottage, “letting scenes breathe”, Kelli sharing a birthday with François Arnaud, riding in the car with your love, lighting changes, coming out, how it ends, Kelli and Steve's favorite scenes, the NHL and Kelli predicts a summer baby boom. To listen to this episode in its entirety go to our Patreon and become a Yacht Club Member!   https://www.patreon.com/cw/AboveDeckPodcast Enjoy your Re-Heated Rivalry - a new episode of Above Deck is out now! Follow us on Instagram: @abovedeckpod   Get in touch: abovedeckpod@gmail.com  Get ya some Above Deck merch: https://shop.hurrdatmedia.com/collections/above-deck  Please subscribe on Apple Podcasts, Spotify or wherever you get your podcasts, and tell a friend! Resources: https://www.34west.org/ instagram.com/34westProductions Above Deck Patreon This is another Hurrdat Media Production. Hurrdat Media is a podcast network and digital media production company based in Omaha, NE. Find more podcasts on the Hurrdat Media Network by going to HurrdatMedia.com or the Hurrdat Media YouTube channel! Learn more about your ad choices. Visit megaphone.fm/adchoices

Hear award-winning columnist Dejan Kovacevic's Daily Shots of Steelers, Penguins and Pirates -- three separate podcasts -- every weekday morning on the DK Pittsburgh Sports podcasting network, available on all platforms: https://linktr.ee/dkpghsports Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nicole Weaver (she/her) of Black Bi Reality and 'Couple to Throuple's Ashmal Ali talk about bisexuality in "Heated Rivalry" Season 1. How does Ilya Rozanov's bisexuality affect his relationship with the gay Shane Hollander? How is bisexual actor, François Arnaud, being treated outside of the show? Why are people saying author Rachel Reid is bisexual? ‘The Traitors': Rob Rausch and Candiace Dillard Bassett Feud on Instagram https://parade.com/entertainment/the-traitors-rob-rausch-and-candiace-dillard-bassett-feud-on-instagram Follow Ashmal Ali https://www.instagram.com/ashmalali/ Follow us on Twitter: / blackbireality Follow on IG: / blackbireality Follow on TikTok: / blackbireality Photo credit Peacock Theme Music DJ MC Pro Branding by Jordan Scruggs https://www.jordanponders.com/#heatedrivalry #coupletothrouple

2x Olympic medalist Ilya Kharun announced earlier this week that he would be switching his sporting citizenship from Canada to the USA.

What's up Bros? What an episode of television. Episode 2 provides us with far more context on Hollander and Rozanov. They both are fighting their own emotions but for different reasons. Shane struggles to find his own identity while Ilya struggles with the weight of his responsibilities and his growing feelings for Shane. But... They get overshadowed in episode two as we watch a beautiful connection between Scott and Kip. What was just a smoothie stop turned into a multiple meet cute and we're here for it. However, the hurdles of reality begin to set in for both Scott and Kip as they realize this love story may just be a pipe dream... Learn more about your ad choices. Visit megaphone.fm/adchoices

We're finishing up the beautiful series, Heated Rivalry this week.  Things come to a head for Ilya and Shane and it ends somewhere beautiful.  Also on this episode, Suesie can't rely on Rihanna.  Frank makes a comparison.  Intro and outro is Rebel Girl by Bikini Kill. Please rate, review and subscribe to the show on iTunes and SpotifyE-mail: realteengirltalk@gmail.comTeen Girl Talk's Instagram: https://www.instagram.com/realteengirltalk/ Frank's writing website: franklincota.com Suesie's Instagram: https://www.instagram.com/susieboboozy/Frank's Instagram: https://www.instagram.com/siriwouldchallenge/Frank's YouTube: https://www.youtube.com/channel/UCJcUttxP0ujvc6HXBz-4kIw   Frank's Book: https://books2read.com/u/3nJPzP

We are excited to announce our new episode feature: Call in Sic! Thank you Alisia Young for being our very first caller and always happy to be a guinea pig. We also got a sic call from our beloved local Russian rocker Ilya, founder of our favorite SLC punk rock band Kargo Cult. It was super nice of him to let us know a little more about the bands break up and what is going happen. We are hoping we could help smooth things over by starting a conversation. With that being said, the other Kargo Cult members, or at least the drummer Adam will be with us for our season finale on March 25th. We will then get not only their thoughts on the situation but I am willing to bet there will be a new band introduction. Thank you so much Adam and we look forward to hearing from you guys then. Other than that and going through a run down of this seasons guests I think this premiere was pretty good. It is our 5 year anniversary and we just might keep this thing up and running after all. For the greater good. Soundtrack: Chronic Trigger, Kargo Cult, Big Car, Kargo Cult

Long time Dream Chimney contributor, DJ, Producer Dennis Kane is facing eviction and looking for support. https://gofund.me/7db0132b We are hosting the original Disques Town podcast episodes and making them available to stream/download. Please consider donating to help Dennis. At the moment Dennis finds himself in a serious financial jam, and we are raising funds to help he and Roan stay in their home of 31 years. -- Originally Recorded Nov 2012 Since his initial release on Balihu in 2004 Ilya Santana has been bringing the full frontal assault with extremely lush remixes and original productions. Raised on Vangelis, Moroder and Alan Parsons by his forward thinking dad, (yeah man !) Ilya starting playing the good business in 95 at any worthwhile spot in Gran Canaria. Shortly after he commenced production work in ernest and has amassed an impressive discography on labels like Permanent Vacation, Tirk, Gomma, and soon Disques Sinthomme. Ilya will release his first full length next month "A Western Tail" on Nang records..... for more on the prince of Las Palmas check : http://www.discogs.com/artist/Ilya+Santana or http://soundcloud.com/ilya-santana Alex Storrer aka Lexx is the biz, a former record dealer and b-boy/mc, (there are videos on youtube!) Lexx keeps it street and rare, his production work is subtle and exudes warmth, plus it always has depth, and an edge that the serious selector recognizes. Lexx has work out on Bearfunk, Compost, Tiny Sticks, and Permanent Vacation etc... He has also released work under the moniker Kawabata. His Originals compilation for our pal Mudd's Claremont 56 label is due soon. Lexx has been playing worldwide since the mid 90's and also held down residencies at Zurich's Club Dachkatine and Zukunft. Alex and I are joined for our brief chat by his houseboy "Brandon Clean" - soooo classy, For more on our man Alex check him here: http://www.discogs.com/artist/Lexx and here: http://soundcloud.com/lexx72

“I think that the operatic theatre is something that you can connect to, and in this moment when you are in the theatre you forget your worries.” - Evgenia Selina From Pop to Puccini: Engage in an enlightening conversation with the award winning, Russian-born opera singers Evgenia Selina and Ilya Lapich, a dynamic husband-and-wife duo now thriving in Germany. The episode delves into their distinct journeys toward opera: Evgenia's path, deeply rooted in a musical family where classical music was a constant companion, and Ilya's unique transition from pop, rock, and choral singing into the world of classical opera. Listeners are invited to explore the transformative power of opera, as Evgenia and Ilya discuss the psychological depth and emotional vulnerability required to embody characters on stage. They share personal insights into their creative inspirations, professional challenges, and the reasons why Europe offers a uniquely supportive environment for opera singers, in contrast to larger nations like the United States or Russia. The conversation extends beyond the stage to touch on themes of language, culture, and family life, including the experience of raising multilingual children and living between diverse worlds; balancing Russian heritage with European careers and global artistic traditions. At its heart, this episode is a profound reflection on opera as a vibrant, living art form that seamlessly blends music, theater, visual design, and storytelling, crafting an experience that transcends language, geography, and time. images: ©evgenia selina & ilya lapich – used with permission evgenia selina instagram ilya lapich instagram Subscribe: iTunes | Android | Spotify | Email | RSS MORE ART UNKNOWN PODCASTS

Lauren and Trey pick up right where they left off, starting with a candid apology tour as they own a few mistakes listeners lovingly (and correctly) pointed out from the first two HEATED RIVALRY episodes, including a spirited mini-debate about whether the Hays Code is still “a thing.”Quick history moment: the Hays Code, officially enforced from the 1930s through the late 1960s, strictly limited what could be shown on screen, explicitly banning the depiction of homosexuality. As a result, queer stories were erased, coded, or forced into tragic endings, shaping generations of viewers' understanding of masculinity, desire, and love in ways we're still unraveling today.From there, a moving comment from a new subscriber opens the door to a rich conversation about masculinity, sexual orientation, and why HEATED RIVALRY feels so deeply resonant for so many people. Lauren reiterates (with feeling) that this is a show everyone should see, not just hockey fans or romance readers.The episode then turns toward Shane and Ilya's family dynamics, exploring how a lack of choice in childhood often shows up as difficulty with choice in adulthood. Whether it's subconsciously entering relationships where autonomy is limited or avoiding choice-making altogether, Lauren and Trey unpack this through a relational lens, drawing on David Schnarch's work around differentiation, self-definition, and the courage it takes to choose oneself.They close by tackling a question so many people quietly hold: Do I need to be fully healed before I'm ready for a relationship? Lauren compares relational readiness to being an athlete, reminding us that while training happens in the off-season, real growth requires coaching alongside teammates. Trey adds that nothing compares to the intensity of a live game, offering compassion for how much relationships can stir us, no matter how much work we've done.If this conversation resonates and you're longing for support navigating intimacy, desire, or relational growth, you don't have to do it alone. Learn more about sex and relationship coaching and book a free consultation at www.sexedforyou.com/freeconsult.About ThemLauren and Trey are partners living in Central Virginia, where Lauren owns and operates Sex Ed for You. She provides comprehensive sexuality education and embodied coaching to individuals, partners, and parents.Through a biopsychosocial approach, Sex Ed for You works to restore positive and respectful approaches to sexuality and sexual relationships, while increasing the possibility of pleasurable and safe sexual experiences, free of coercion, discrimination, and violence (World Health Organization).Sexual health is fundamental to the overall health and well-being of individuals, couples, and families, as well as to the social and economic development of communities and countries (World Health Organization). When individuals are blocked from sexual health, they are often stunted in their ability to develop sensual play, embodied connection, and enjoyment. Learn More & Connect• Learn more about Sex Ed for You: https://www.sexedforyou.com• Schedule a FREE CONSULT with Lauren: https://www.sexedforyou.com/freeconsult• Learn more about partnered communication and relational education on Instagram: https://www.instagram.com/sex_ed_for_you/• Subscribe to the YouTube channel for conversations about sex, partnership, communication, and love: https://youtube.com/@thepartnershippodcastImportant RemindersThis is not a “how to” podcast, but rather a “how they” podcast. Lauren and Trey share personal experiences, perspectives, and reflections, inviting listeners to learn from what resonates, question what doesn't, and decide what feels aligned for their own lives.Lauren is not a therapist. She is a Certified Holistic Sexuality Educator and Embodied Intimacy and Relationship Coach.

In this episode of Startup Project, host Nataraj speaks with Ilya Levtov, Founder and CEO of CraftCo, an AI-powered platform designed to help organizations better understand and organize supplier information.The conversation focuses on how enterprises and public-sector organizations manage large supplier networks, bring together data from multiple systems, and use AI-driven tools to improve visibility and operational efficiency. Ilya shares insights from building an enterprise software company, working with complex customers, and applying data and automation to support better decision-making across procurement and supply chain teams.This episode is intended for listeners interested in enterprise technology, AI platforms, procurement software, and the practical challenges of building and scaling data-driven companies.Topics discussedAI-powered supplier intelligenceSupply chain data organization and visibilityProcurement software and enterprise workflowsBuilding scalable enterprise platformsLessons from founding and growing a technology company

Tv-serien ”Heated rivalry”, om de två elithockeyspelarna Shane och Ilya som blir kära i varandra, har på kort tid blivit någon form av global sensation. Inte minst på grund av de explicita och närgångna sexscenerna. De två huvudrollsinnehavarna Hudson Williams och Connor Storrie har i princip över en natt fått miljontals följare på sociala medier och fick nyligen dela ut pris på Golden globe-galan. Nu kommer serien till Sverige. Varför har den blivit en sådan braksuccé? Kan mycket sex vara för mycket sex? Och sätter ”Heated rivalry” någon form av avtryck i historien? Gäst: Karolina Fjellborg, tv-kritiker på Aftonbladet. Programledare och producent: Olivia Svenson. Kontakt: podcast@aftonbladet.se Klipp från: HBO och CNN. Ansvarig utgivare: Lotta Folcker.

Heated Rivalry is only the tip of a very sexy ice(hockey)berg. Straight women make up at least 60% of the audience of the booming MM (male to male) queer romance book market. Why? Holly Wainwright, Jessie Stephens and Emily Vernem unpack the theories behind the biggest TV hit of the Summer. Also, no, you're not imagining it. Every streaming show you watch is talking to you like you're a little bit... dumb. Matt Damon knows why. And, everyone has a venting friend. Sometimes, everyone is a venting friend. But now, 'venting' has been labelled toxic friendship behaviour. We want to know who we can vent to about that. Plus, our recommendations. Find them below. SUBSCRIBE here: Support independent women's media Recommendations Em recommends Chicago Fire the bingeable TV show that she's currently obsessed with. Jessie recommends underpants. Yes, treat yourself to an underwear refresh. Holly recommends the move Hamnet that was released in cinemas on January 15. What To Listen To Next: Listen to our latest episode: Jessie's Twins Update & What We Really Did Over The Holidays Listen: Blake Lively, Taylor Swift, Revealing Texts & A Masterclass In Awkward Conversations Listen: Brooklyn Beckham, That ‘Inappropriate’ Dance & The Downfall Of A Family Brand Listen: Brooklyn Beckham Goes Nuclear: An Emergency Meeting Listen: The Superstar Podcaster Who’s Been ‘Red-Pilled’ & Was JLo Really That Rude? Listen: We’ve Entered The Year Of Friction-maxxing Listen: Our Best Heated Rivalry Theory & Taylor Swift's Mum Listen: A Spectacular Writers' Festival Collapse & The Jennifer Lawrence Dog Drama Listen: Why Mia Really Left... And Why She's Back Connect your subscription to Apple Podcasts Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. We’re giving away a Your Reformer Pilates bed (worth $3,400) Subscribe to enter MOVE by Mamamia is the app that helps you fit movement into your every day. Whether you have 10 minutes, or 45, we've got the workout that fits your time, space and body. Get $20 off an annual subscription until the end of January when you use code OUTLOUD at checkout. Start your free trial today. SUBSCRIBE here: Support independent women's media Watch Mamamia Out Loud: Mamamia Out Loud on YouTube What to read: Heated Rivalry forced me to ask myself a fundamental question. You're thinking it, too.' Matt Damon and Ben Affleck's new Netflix thriller will keep you guessing until the very last second. The insane true story that inspired Ben Affleck and Matt Damon's new crime drama. 'Hamnet is the buzziest film of the year you're probably too scared to see. Allow me to change your mind.' Holly Out Loud on Substack THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Emily Vernem, Jessie Stephens & Holly Wainwright Group Executive Producer: Ruth Devine Executive Producer: Sasha Tannock Audio Producer: Leah Porges Video Producer: Josh Green Junior Content Producer: Tessa KotowiczBecome a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

It's a Heated Rivalry takeover, Dear Listener, with tales of German funk stank, ladies scooping for gold and the sexiest of date night meals, the tuna melt. Missy leads us through a game of Guess Who's In the Orange Jumpsuit Crew. And Amy recaps her Italian visit with sights, sounds and yes, truly authentic smells inspired by Ilya and Shane themselves. There's love, there's sex, there's an abundance of cheese (all kinds). Join us, won't you? Promise to make you laugh. 

Send us a textPart 3 of Heated Rivalry picks up in October 2016, more than two years after Shane Hollander and Ilya Rozanov present an award together in Las Vegas. Shane visits Ilya's penthouse, where things unexpectedly turn domestic when Ilya makes him a tuna melt, and the walls come down just enough for them to start calling each other by their first names. Back in Montreal, Shane meets movie star Rose Landry, and then we arrive at THAT club scene, the one permanently soundtracked in our minds by All The Things She Said. What started as something carefully contained is starting to bleed into real life, and neither of them is as unaffected as they pretend to be.Potential spoilers: This deep dive covers the book.Instagram and TikTok @DTFaePodcast. If you are enjoying the show, subscribing, rating, and reviewing helps the podcast grow. Merch available on dtfaepodcast.com.

We welcome you back to another episode of Upstairs Neighbors! This week, your neighbors are finally talking about Heated Rivalry. They discuss Ilya's face card, becoming interested in sports again, and learning Scott Hunter's name. Plus, they take it back to the ancient text of 1D in Japan. Enjoy! Watch Star Trek. Starfleet Academy, New series now streaming on Paramount Plus Wake up with clearer skin, smoother hair, and cooler sleep. Use code UPSTAIRSPOD for an extra 30% off at https://blissy.com/UPSTAIRSPOD. Go to https://MeUndies.com/upstairs and enter promo code upstairs to get exclusive deals up to 50% off IG: https://www.instagram.com/upstairsneighborspod/ Tiktok: https://www.tiktok.com/@upstairsneighborspod Follow our Hosts: Maya IG: https://www.instagram.com/mayamoto_/ Maya Tik Tok: https://www.tiktok.com/@mayahasatiktok Dom IG: https://www.instagram.com/domrobxrts/ Dom Tiktok: https://www.tiktok.com/@domnotateenmom Learn more about your ad choices. Visit megaphone.fm/adchoices

Jesse Montano and Meghan Angley return as the Avs have officially gotten busy on the trade market as Ilya Solovyov was sent to the Pittsburgh Penguins in a move that gives the Avs some more flexibility on the Salary Cap Plus, they'll unpack a bit of a roller coaster couple of games as the Avs played their worst game of the season against the season against the Nashville Predators, and then bounced back with a great performance against the Washington Capitals #ColoradoAvalanche #GoAvsGo #AvsNation #NathanMacKinnon #CaleMakar #GuerillaSports #Hockey #AvalancheHockey #MileHighHockey #AvsFans #Avalanche2025 #Mikko Rantanen #AvsGameDay #NHLHighlights #DenverSports #AvalancheForever #MakarMagic #HockeyInColorado #StanleyCup #NHL This show is brought to you by RefiJet Did you know you could refinance your auto loan? With RefiJet, you could save around $150 a month—all with just a soft credit pull and zero hassle. Lower payments, flexible terms, even cash back from your car's equity. RefiJet does the work, you get the savings. Start today at RefiJet.com! The Faster, Easier way to Refinance

In this listener-commissioned bonus episode, we break down the internet's favorite hockey romance through a gymnastics lens — rivalry, pressure, secrecy, slow burns, and why elite athletes are like this. It's an adult conversation with minor spoilers, wheeze giggles, and Oscar's for butt. Commissioned by Karla. This is her fault. Thank you, Alyssa for proving our point with her Ilya speech. UP NEXT Fantasy Gymnastics podcast every Wednesday College & Cocktails : Sunday Jan 25th, 12:00 PT after UCLA at Michigan State (FOX) 2026 Cocktail and Mocktail menu here Add exclusive Club Content like College & Cocktails to your favorite podcast player (instructions here). SUPPORT OUR WORK Club Gym Nerd: Join Here Fantasy: GymCastic 2026 College Fantasy Game now open. Never too late to join! Merch: Shop Now Newsletters The Balance Beam Situation: Spencer's GIF Code of Points Gymnastics History and Code of Points Archive from Uncle Tim Resistance Resources CHAPTERS 00:00 – Kentucky Gymnastics Recreates the Heated Rivalry Pump-Up Speech 00:00:17 – Welcome to GymCastic (Bonus Episode) 00:00:45 – You Don't Need to Know This Show (We'll Explain Everything) 00:01:04 – Adult Conversation Warning (Minor Spoilers) 00:01:38 – What Is Heated Rivalry? 00:03:05 – Hockey the Way Jade Carey's Floor Is Choreography 00:04:40 – Why Are We Doing a Podcast About This? 00:06:10 – The Books: Game Changers Series by Rachel Reid 00:07:05 – Why People Are Obsessed With This Show 00:10:00 – Secret Romance, Gay Panic, and Years of Tension 00:13:25 – The Stairs Scene, Chirping, and Competitive Flirting 00:17:05 – Gay and Bi Representation That Feels Real 00:20:20 – From Coco Gauff to SNL to Massive Fan Edits 00:25:40 – Casting Heated Rivalry for Gymnastics 00:29:30 – Greatest of All Time Criteria (Hot, Dominant, Iconic) 00:33:40 – If Not Russian, then who?  00:37:10 – Why a Lesbian Version Wouldn't Work (Sue Bird Was Right) 00:40:20 – Khorkina for Maximum Chaos Casting 00:43:30 – Why Sports Movies Are Never Realistic (And That's Fine) 00:46:40 – The Gym Mom vs Kip's Dad: Loyalty and Support 00:49:50 – Secret Relationships vs The Closet 00:53:10 – Panic, Fear, and Being Recognized 00:56:10 – Complications of Secret Hookups (Spring Break Story) 00:59:50 – Sub Dom Dynamics in Elite Sports 01:06:40 – Is This a Turning Point for Sports Fan Fic Smut?  

Cathy and Todd discuss Why Heated Rivalry Matters, digging into why this hockey romance has become such a cultural lightning rod and emotional touchstone. They talk about Rachel Reid's novel and the TV adaptation, but mostly they focus on what's really happening alongside the sex scenes: two very different expressions of masculinity learning how to coexist without hierarchy, punishment, or performance. The conversation moves from the slow-burn relationship between Shane and Ilya to why so many women, queer viewers, and romance fans trust this story and feel oddly comforted by it. They explore how the show models emotional safety, real repair, and power that doesn't turn into harm, and why that feels rare right now. It's a mix of pop culture, psychology, and cultural reckoning about intimacy, vulnerability, and what people are longing for in relationships today. Some Ways to Support Us Sign up for Cathy's Substack Order Restoring our Girls Join Team Zen Links shared in this episode: For the full show notes, visit zenpopparenting.com. This week's sponsor(s): Avid Co DuPage County Area Decorating, Painting, Remodeling by Avid Co includes kitchens, basements, bathrooms, flooring, tiling, fire and flood restoration. David Serrano- Certified Financial Planner- 815-370-3780 MenLiving – A virtual and in-person community of guys connecting deeply and living fully. No requirements, no creeds, no gurus, no judgements Todd Adams Life & Leadership Coaching for Guys Other Ways to Support Us Follow us on social media Instagram YouTube Facebook Buy and leave a review for Cathy’s Book Zen Parenting: Caring for Ourselves and Our Children in an Unpredictable World Find everything ZPR on our Resources Page Guys- Complete a MenLiving Connect profile

⚠️ Major Spoiler Alert ⚠️This episode contains full spoilers for Heated Rivalry, Episode 6 (the finale).In Part Two of their Heated Rivalry conversation, Lauren and Trey sit with the emotional aftermath of the finale and reflect on why this episode felt so deeply moving, tender, and necessary. What unfolds is less about rivalry and more about safety, repair, and what it means to finally come home to oneself through love.Lauren is openly emotional as she reflects on the profound softening we witness in Ilya's character. She shares how beautiful it is to see Shane become a true safe haven and secure base for him, allowing Ilya to relax into play, tenderness, and childlike joy. Together, they explore how the series honors difference rather than erasing it, and how intimacy deepens when partners make space for one another's unique rhythms and needs.Trey names the maturity and care shown in Shane's coming out conversation with his parents, especially the moment outside with Shane's mother and her apology. Lauren shares that this moment represents her hope for every human, that when harm or misunderstanding happens, repair and accountability can still follow.This opens a larger conversation about the importance of safe adults. Lauren and Trey reflect on the relationship between Scott Hunter and Kip, and how Scott's bravery and integrity created permission and possibility for Shane and Ilya to pursue their love more openly. They widen the lens again to talk about the ongoing reality of homophobia in sport. Trey wonders aloud whether things have truly changed, while Lauren reflects on how prevalent slurs and casual language still shape culture. They close the episode honoring how rare and beautiful this show is, and sharing their sadness that it has come to an end, while also expressing gratitude for a story that treats queer love with depth, dignity, eroticism, and care.If you are struggling to live fully in your queerness, or if you are learning how to celebrate and support your child's queerness with more confidence and compassion, Lauren invites you to request a free consult at www.sexedforyou.com/freeconsultThis is Part Two of a two-part series on Heated Rivalry. If you haven't listened to Part One yet, we recommend starting there before diving into the finale.About Us: Lauren and Trey are partners living in Central Virginia where Lauren owns and operates, SEX ED FOR YOU. She provides comprehensive sexuality education and embodied coaching to individuals, partners, and parents.Through a biopsychosocial approach, Sex Ed for You works to restore positive and respectful approaches to sexuality and sexual relationships, as well as increase the possibility of having pleasurable and safe sexual experiences, free of coercion, discrimination and violence. (WHO)Sexual health is fundamental to the overall health and well-being of individuals, couples and families, and to the social and economic development of communities and countries. (WHO) When individuals are blocked from sexual health they are stunted from developing a sense of sensual play and enjoyment. • Learn more about Sex Ed for You at ⁠⁠https://www.sexedforyou.com⁠⁠• Schedule a FREE CONSULT with Lauren today: ⁠⁠https://www.sexedforyou.com/freeconsult⁠⁠• Learn more about partnered communication best practices on Sex Ed For You's Instagram Page: ⁠⁠https://www.instagram.com/sex_ed_for_you/⁠⁠Reminders: This is not a "how to" podcast, but rather a "how they" podcast. Please listen to our opinions and then come to your own! Learn from our mistakes or give our techniques a try! It's all up to you. Lauren is NOT a therapist. She is a Certified Holistic Sexuality Educator and Embodied Intimacy and Relationship Coach.

Lauren and Trey dive into the global sensation that is Heated Rivalry, HBO's hit hockey romance that has captured hearts and sparked important cultural conversations. The series follows rival pro hockey players Shane Hollander and Ilya Rozanov whose public feud masks a deeply charged, secret romance. It is a story that brilliantly captures the tension between attraction and obstacle that fuels desire.Lauren shares why this show resonates so deeply with her, especially through the lens of Jack Morin's EROTIC EQUATION: Attraction + Obstacle = Excitement, and his Four Cornerstones of Eroticism: Longing & Anticipation, Violating Prohibitions, the Search for Power, and Overcoming Ambivalence. Together, they explore how episodes 1 through 5 vividly dramatize these elements in ways that feel both erotic and emotionally honest.They also discuss the continued tragedy of homophobia in sport and how the obstacle of being gay, while deeply unjust, remains a powerful and very real tension shaping the story. Rather than romanticizing this pain, Lauren and Trey name the cost of secrecy while honoring the truth of the world these characters are navigating.The conversation celebrates the role of female friendships in the series, not simply as allies, but as muses and positive influences in the lives of both Ilya and Shane. Lauren also highlights the presence of supportive, loving parenting through the character Kip's father and why representations of unconditional love matter so deeply for queer people and families alike.If you are struggling to live fully in your queerness, or if you are learning how to better celebrate and support your child's queerness, Lauren invites you to request a free consult at www.sexedforyou.com/freeconsultStay tuned for part two of this conversation when Lauren and Trey finish the series and return to explore how the story unfolds.About Us: Lauren and Trey are partners living in Central Virginia where Lauren owns and operates, SEX ED FOR YOU. She provides comprehensive sexuality education and embodied coaching to individuals, partners, and parents.Through a biopsychosocial approach, Sex Ed for You works to restore positive and respectful approaches to sexuality and sexual relationships, as well as increase the possibility of having pleasurable and safe sexual experiences, free of coercion, discrimination and violence. (WHO)Sexual health is fundamental to the overall health and well-being of individuals, couples and families, and to the social and economic development of communities and countries. (WHO) When individuals are blocked from sexual health they are stunted from developing a sense of sensual play and enjoyment. • Learn more about Sex Ed for You at ⁠⁠https://www.sexedforyou.com⁠⁠• Schedule a FREE CONSULT with Lauren today: ⁠⁠https://www.sexedforyou.com/freeconsult⁠⁠• Learn more about partnered communication best practices on Sex Ed For You's Instagram Page: ⁠⁠https://www.instagram.com/sex_ed_for_you/⁠⁠• Subscribe to our YouTube channel for more videos about sex, partnership, communication, and love: ⁠⁠https://youtube.com/@thepartnershippodcast⁠⁠Reminders: This is not a "how to" podcast, but rather a "how they" podcast. Please listen to our opinions and then come to your own! Learn from our mistakes or give our techniques a try! It's all up to you. Lauren is NOT a therapist. She is a Certified Holistic Sexuality Educator and Embodied Intimacy and Relationship Coach.

A sermon by Pastor Ilya on new beginnings from the book of Ruth to encourage faith, forgiveness, and a return to God in every season.

On today's podcast, David, Natalie and Ilya sit down and record from the Philippines and take you behind the scenes of David's videos including a new idea that's got Ilya all fired up. And a little later: Ilya accuses David and Natalie of having sex and someone offers some key insight into why David doesn't have a girlfriend. And, we meet David's producer Ferris for some key insight on what it's like making the vlogs and what is next. Listen to Jason's pod here: https://open.spotify.com/episode/6gTFPQtfanFscw0bfjTfIW?si=QbX1EgU0QsORlc4r8F-Bcg Learn more about your ad choices. Visit megaphone.fm/adchoices

Use our code for 10% off your next SeatGeek order*: https://seatgeek.onelink.me/RrnK/VIEWS10  Sponsored by SeatGeek. *Restrictions apply. Max $20 discount on today's podcast David, Natalie, Ilya and Taylor record from Learn more about your ad choices. Visit megaphone.fm/adchoices

hey (louder than everyone else in the room) so we're back after two years… in this week's episode we discuss Shane and Ilya, being single, Gloria Steinem, vampires having sex in the air, convenience culture, and 70s sex culture.Casualties of the Sex War: A Women's Liberation Dropout Books Khadija mentioned:Bad Sex: Truth, Pleasure, and an Unfinished Revolution by Nona Willis-AronowitzRe-thinking Sex: A Provocation by Christine EmmaSupport the show

Comrades, welcome to the Asylum! I'm joined by Ada and Ruby from the Loon Call Podcast to discuss season 1 of Heated Rivalry! We talk joining the fandom, adapting romance, who fell first (Ilya or Shane), favorite scenes, and more. Spoilers and squealing abound. Enjoy the show! Listen to Loon Call; @looncallpod Connect with Ada: @adagetsliterary Connect with Ruby: @rubybarrettwrite   Heated Rivalry cinematography: Valentina Vee Romancing the Data episode   Subscribe! Follow! Rate! Review! Tell your friends and family! Bookshop.org Storefront: buy a book mentioned in the episode through this link and I earn a small commission Buy me coffee WRION merch! My feminist, sapphic, bookish Etsy shop! Instagram/Threads: @wereaditonenight TikTok: @wereaditonenight Facebook: We Read It One Night Email: wereaditonenight [at] gmail.com

When we left you yesterday Shane had proposed to Ilya in a recreation of the proposal Ilya described in HEATED RIVALRY and they've decided to get hitched this summer! That's where we're jumping in for part 2 of THE LONG GAME by Rachel Reid. Bonus Content: Mel trolls Sabrina mercilessly and ANYA THE DOG! Lady Loves: ZAMBRINA: Sabrina got to ride the Zamboni at her local hockey rink!!! Mel: care about something even if it doesn't impact you. Maybe ESPECIALLY if it doesn't impact you. This Friday on Patreon and our Apple Podcast subscription, Mel is telling Sabrina all about the last two books in the Stage Dive series LEAD and DEEP by Kylie Scott. Curious about the ridiculous faces we make? Subscribe and watch us on YOUTUBE! Want to tell us a story, ask about advertising, or anything else? Email: heavingbosomspodcast (at) gmail  Follow our socials:  Instagram @heavingbosoms | Tiktok @heaving_bosoms | Bluesky: @heavingbosoms.com | Threads: @heavingbosoms   Facebook group: the Heaving Bosoms Geriatric Friendship Cult Credits: Theme Music: Brittany Pfantz  Art: Author Kate Prior The above contains affiliate links, which means that when purchasing through them, the podcast gets a small percentage without costing you a penny more. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On today's Views Podcast David apologizes to Ilya for being in a bad mood, Adam W has trouble with his new watch, Natalie gets angry at Jason over Vision Board night and the gang accuses someone of cheating. And a little later, Jason hangs with a world-renowned psychic and gets some great advice. Watch Jason's pilot here: https://www.youtube.com/watch?v=rvNqJKBNKIU Learn more about your ad choices. Visit megaphone.fm/adchoices

On today's Views pod, David and Jason welcome Natalie, Ilya and John to talk about David and Ilya's weekend hitting Christmas parties, Jason amazing celebrity sighting, David's Best Friend Rankings, and how much money Xeela made in 2025. Also, long distance relationships, David and John try and get out of Jason's Vision Board party and a random dude tries to live stream in David's house. And a little later David offers his favorite superhero picks for life. Check out Jason's podcast here: https://open.spotify.com/episode/122w2SF5ZEVbD8vPov8Hu6?si=Qco87w21QSyR_tpYbb1x2Q Learn more about your ad choices. Visit megaphone.fm/adchoices