Podcasts about Ilya

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 

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.

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

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

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

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

In this podcast episode of Previously On, fangirl Jillian and her husband Tyler recap the incredible season 1 of Heated Rivalry. From the show's unexpected rise to mainstream popularity to its impact TV adaptations and romance storytelling, they explore the series' unique blend of drama, humor, and forbidden romance. Tyler asks Jillian why women love this show so much and gives his thoughts on the show's commentary about fragile masculinity in mens team sports. They also discuss fame, Letterboxd, closeted players, the Cup, the Cottage, and so much more! #heatedrivalry #recap #podcast 00:00:00 Intro to podcast00:02:44 Heated Rivalry popularity00:03:20 We haven't read the books00:05:11 Cultural phenomenon and romance novels00:10:44 Unkown actors becoming stars00:13:10 Fast-moving show00:16:41 Closeted players reaching out00:20:56 Why do women love the show?00:30:42 Shane and Ilya competitiveness00:35:11 NHL video game00:37:10 Athletes use homosexuality as an insult00:40:52 Male intimacy00:44:31 Scott Hunter rejected endorsements00:48:41 Hudson Williams Letterboxd00:51:09 Anxiety TV stars00:54:58 The Cup private time00:59:08 The CottagePandemonium for Hudson Williams leaving The Tonight Show:https://www.tiktok.com/@gabbycam/video/7592773746948132109Hudson Williams discussing closeted players with Andy Cohen: https://www.youtube.com/shorts/IuJXA9AyfB8Thank you to Matt Buechele (@mattbooshell) for creating our new theme song. You can listen to "Sunscreen" on Spotify: https://open.spotify.com/artist/1gFHHF3QyQxjbbKXV3qLu9You can dig up dirt on Tyler's Letterboxd: https://letterboxd.com/tylergbranch/Buy our merch: ⁠https://www.etsy.com/shop/PreviouslyOnTeenTV⁠Follow Previously On Teen TV on Instagram: ⁠⁠https://www.instagram.com/previouslyon_teentv/Follow Previously On Teen TV on TikTok: ⁠⁠https://www.tiktok.com/@previouslyon_teentv⁠⁠Subscribe to our YouTube: ⁠⁠https://www.youtube.com/channel/UCe2lgvvZGKMrQ8v24FmDdWQ?sub_confirmation=1⁠

Happy New Year! You may have noticed that in 2025 we had moved toward YouTube as our primary podcasting platform. As we'll explain in the next State of Latent Space post, we'll be doubling down on Substack again and improving the experience for the over 100,000 of you who look out for our emails and website updates!We first mentioned Artificial Analysis in 2024, when it was still a side project in a Sydney basement. They then were one of the few Nat Friedman and Daniel Gross' AIGrant companies to raise a full seed round from them and have now become the independent gold standard for AI benchmarking—trusted by developers, enterprises, and every major lab to navigate the exploding landscape of models, providers, and capabilities.We have chatted with both Clementine Fourrier of HuggingFace's OpenLLM Leaderboard and (the freshly valued at $1.7B) Anastasios Angelopoulos of LMArena on their approaches to LLM evals and trendspotting, but Artificial Analysis have staked out an enduring and important place in the toolkit of the modern AI Engineer by doing the best job of independently running the most comprehensive set of evals across the widest range of open and closed models, and charting their progress for broad industry analyst use.George Cameron and Micah-Hill Smith have spent two years building Artificial Analysis into the platform that answers the questions no one else will: Which model is actually best for your use case? What are the real speed-cost trade-offs? And how open is “open” really?We discuss:* The origin story: built as a side project in 2023 while Micah was building a legal AI assistant, launched publicly in January 2024, and went viral after Swyx's retweet* Why they run evals themselves: labs prompt models differently, cherry-pick chain-of-thought examples (Google Gemini 1.0 Ultra used 32-shot prompts to beat GPT-4 on MMLU), and self-report inflated numbers* The mystery shopper policy: they register accounts not on their own domain and run intelligence + performance benchmarks incognito to prevent labs from serving different models on private endpoints* How they make money: enterprise benchmarking insights subscription (standardized reports on model deployment, serverless vs. managed vs. leasing chips) and private custom benchmarking for AI companies (no one pays to be on the public leaderboard)* The Intelligence Index (V3): synthesizes 10 eval datasets (MMLU, GPQA, agentic benchmarks, long-context reasoning) into a single score, with 95% confidence intervals via repeated runs* Omissions Index (hallucination rate): scores models from -100 to +100 (penalizing incorrect answers, rewarding ”I don't know”), and Claude models lead with the lowest hallucination rates despite not always being the smartest* GDP Val AA: their version of OpenAI's GDP-bench (44 white-collar tasks with spreadsheets, PDFs, PowerPoints), run through their Stirrup agent harness (up to 100 turns, code execution, web search, file system), graded by Gemini 3 Pro as an LLM judge (tested extensively, no self-preference bias)* The Openness Index: scores models 0-18 on transparency of pre-training data, post-training data, methodology, training code, and licensing (AI2 OLMo 2 leads, followed by Nous Hermes and NVIDIA Nemotron)* The smiling curve of AI costs: GPT-4-level intelligence is 100-1000x cheaper than at launch (thanks to smaller models like Amazon Nova), but frontier reasoning models in agentic workflows cost more than ever (sparsity, long context, multi-turn agents)* Why sparsity might go way lower than 5%: GPT-4.5 is ~5% active, Gemini models might be ~3%, and Omissions Index accuracy correlates with total parameters (not active), suggesting massive sparse models are the future* Token efficiency vs. turn efficiency: GPT-5 costs more per token but solves Tau-bench in fewer turns (cheaper overall), and models are getting better at using more tokens only when needed (5.1 Codex has tighter token distributions)* V4 of the Intelligence Index coming soon: adding GDP Val AA, Critical Point, hallucination rate, and dropping some saturated benchmarks (human-eval-style coding is now trivial for small models)Links to Artificial Analysis* Website: https://artificialanalysis.ai* George Cameron on X: https://x.com/georgecameron* Micah-Hill Smith on X: https://x.com/micahhsmithFull Episode on YouTubeTimestamps* 00:00 Introduction: Full Circle Moment and Artificial Analysis Origins* 01:19 Business Model: Independence and Revenue Streams* 04:33 Origin Story: From Legal AI to Benchmarking Need* 16:22 AI Grant and Moving to San Francisco* 19:21 Intelligence Index Evolution: From V1 to V3* 11:47 Benchmarking Challenges: Variance, Contamination, and Methodology* 13:52 Mystery Shopper Policy and Maintaining Independence* 28:01 New Benchmarks: Omissions Index for Hallucination Detection* 33:36 Critical Point: Hard Physics Problems and Research-Level Reasoning* 23:01 GDP Val AA: Agentic Benchmark for Real Work Tasks* 50:19 Stirrup Agent Harness: Open Source Agentic Framework* 52:43 Openness Index: Measuring Model Transparency Beyond Licenses* 58:25 The Smiling Curve: Cost Falling While Spend Rising* 1:02:32 Hardware Efficiency: Blackwell Gains and Sparsity Limits* 1:06:23 Reasoning Models and Token Efficiency: The Spectrum Emerges* 1:11:00 Multimodal Benchmarking: Image, Video, and Speech Arenas* 1:15:05 Looking Ahead: Intelligence Index V4 and Future Directions* 1:16:50 Closing: The Insatiable Demand for IntelligenceTranscriptMicah [00:00:06]: This is kind of a full circle moment for us in a way, because the first time artificial analysis got mentioned on a podcast was you and Alessio on Latent Space. Amazing.swyx [00:00:17]: Which was January 2024. I don't even remember doing that, but yeah, it was very influential to me. Yeah, I'm looking at AI News for Jan 17, or Jan 16, 2024. I said, this gem of a models and host comparison site was just launched. And then I put in a few screenshots, and I said, it's an independent third party. It clearly outlines the quality versus throughput trade-off, and it breaks out by model and hosting provider. I did give you s**t for missing fireworks, and how do you have a model benchmarking thing without fireworks? But you had together, you had perplexity, and I think we just started chatting there. Welcome, George and Micah, to Latent Space. I've been following your progress. Congrats on... It's been an amazing year. You guys have really come together to be the presumptive new gardener of AI, right? Which is something that...George [00:01:09]: Yeah, but you can't pay us for better results.swyx [00:01:12]: Yes, exactly.George [00:01:13]: Very important.Micah [00:01:14]: Start off with a spicy take.swyx [00:01:18]: Okay, how do I pay you?Micah [00:01:20]: Let's get right into that.swyx [00:01:21]: How do you make money?Micah [00:01:24]: Well, very happy to talk about that. So it's been a big journey the last couple of years. Artificial analysis is going to be two years old in January 2026. Which is pretty soon now. We first run the website for free, obviously, and give away a ton of data to help developers and companies navigate AI and make decisions about models, providers, technologies across the AI stack for building stuff. We're very committed to doing that and tend to keep doing that. We have, along the way, built a business that is working out pretty sustainably. We've got just over 20 people now and two main customer groups. So we want to be... We want to be who enterprise look to for data and insights on AI, so we want to help them with their decisions about models and technologies for building stuff. And then on the other side, we do private benchmarking for companies throughout the AI stack who build AI stuff. So no one pays to be on the website. We've been very clear about that from the very start because there's no use doing what we do unless it's independent AI benchmarking. Yeah. But turns out a bunch of our stuff can be pretty useful to companies building AI stuff.swyx [00:02:38]: And is it like, I am a Fortune 500, I need advisors on objective analysis, and I call you guys and you pull up a custom report for me, you come into my office and give me a workshop? What kind of engagement is that?George [00:02:53]: So we have a benchmarking and insight subscription, which looks like standardized reports that cover key topics or key challenges enterprises face when looking to understand AI and choose between all the technologies. And so, for instance, one of the report is a model deployment report, how to think about choosing between serverless inference, managed deployment solutions, or leasing chips. And running inference yourself is an example kind of decision that big enterprises face, and it's hard to reason through, like this AI stuff is really new to everybody. And so we try and help with our reports and insight subscription. Companies navigate that. We also do custom private benchmarking. And so that's very different from the public benchmarking that we publicize, and there's no commercial model around that. For private benchmarking, we'll at times create benchmarks, run benchmarks to specs that enterprises want. And we'll also do that sometimes for AI companies who have built things, and we help them understand what they've built with private benchmarking. Yeah. So that's a piece mainly that we've developed through trying to support everybody publicly with our public benchmarks. Yeah.swyx [00:04:09]: Let's talk about TechStack behind that. But okay, I'm going to rewind all the way to when you guys started this project. You were all the way in Sydney? Yeah. Well, Sydney, Australia for me.Micah [00:04:19]: George was an SF, but he's Australian, but he moved here already. Yeah.swyx [00:04:22]: And I remember I had the Zoom call with you. What was the impetus for starting artificial analysis in the first place? You know, you started with public benchmarks. And so let's start there. We'll go to the private benchmark. Yeah.George [00:04:33]: Why don't we even go back a little bit to like why we, you know, thought that it was needed? Yeah.Micah [00:04:40]: The story kind of begins like in 2022, 2023, like both George and I have been into AI stuff for quite a while. In 2023 specifically, I was trying to build a legal AI research assistant. So it actually worked pretty well for its era, I would say. Yeah. Yeah. So I was finding that the more you go into building something using LLMs, the more each bit of what you're doing ends up being a benchmarking problem. So had like this multistage algorithm thing, trying to figure out what the minimum viable model for each bit was, trying to optimize every bit of it as you build that out, right? Like you're trying to think about accuracy, a bunch of other metrics and performance and cost. And mostly just no one was doing anything to independently evaluate all the models. And certainly not to look at the trade-offs for speed and cost. So we basically set out just to build a thing that developers could look at to see the trade-offs between all of those things measured independently across all the models and providers. Honestly, it was probably meant to be a side project when we first started doing it.swyx [00:05:49]: Like we didn't like get together and say like, Hey, like we're going to stop working on all this stuff. I'm like, this is going to be our main thing. When I first called you, I think you hadn't decided on starting a company yet.Micah [00:05:58]: That's actually true. I don't even think we'd pause like, like George had an acquittance job. I didn't quit working on my legal AI thing. Like it was genuinely a side project.George [00:06:05]: We built it because we needed it as people building in the space and thought, Oh, other people might find it useful too. So we'll buy domain and link it to the Vercel deployment that we had and tweet about it. And, but very quickly it started getting attention. Thank you, Swyx for, I think doing an initial retweet and spotlighting it there. This project that we released. And then very quickly though, it was useful to others, but very quickly it became more useful as the number of models released accelerated. We had Mixtrel 8x7B and it was a key. That's a fun one. Yeah. Like a open source model that really changed the landscape and opened up people's eyes to other serverless inference providers and thinking about speed, thinking about cost. And so that was a key. And so it became more useful quite quickly. Yeah.swyx [00:07:02]: What I love talking to people like you who sit across the ecosystem is, well, I have theories about what people want, but you have data and that's obviously more relevant. But I want to stay on the origin story a little bit more. When you started out, I would say, I think the status quo at the time was every paper would come out and they would report their numbers versus competitor numbers. And that's basically it. And I remember I did the legwork. I think everyone has some knowledge. I think there's some version of Excel sheet or a Google sheet where you just like copy and paste the numbers from every paper and just post it up there. And then sometimes they don't line up because they're independently run. And so your numbers are going to look better than... Your reproductions of other people's numbers are going to look worse because you don't hold their models correctly or whatever the excuse is. I think then Stanford Helm, Percy Liang's project would also have some of these numbers. And I don't know if there's any other source that you can cite. The way that if I were to start artificial analysis at the same time you guys started, I would have used the Luther AI's eval framework harness. Yup.Micah [00:08:06]: Yup. That was some cool stuff. At the end of the day, running these evals, it's like if it's a simple Q&A eval, all you're doing is asking a list of questions and checking if the answers are right, which shouldn't be that crazy. But it turns out there are an enormous number of things that you've got control for. And I mean, back when we started the website. Yeah. Yeah. Like one of the reasons why we realized that we had to run the evals ourselves and couldn't just take rules from the labs was just that they would all prompt the models differently. And when you're competing over a few points, then you can pretty easily get- You can put the answer into the model. Yeah. That in the extreme. And like you get crazy cases like back when I'm Googled a Gemini 1.0 Ultra and needed a number that would say it was better than GPT-4 and like constructed, I think never published like chain of thought examples. 32 of them in every topic in MLU to run it, to get the score, like there are so many things that you- They never shipped Ultra, right? That's the one that never made it up. Not widely. Yeah. Yeah. Yeah. I mean, I'm sure it existed, but yeah. So we were pretty sure that we needed to run them ourselves and just run them in the same way across all the models. Yeah. And we were, we also did certain from the start that you couldn't look at those in isolation. You needed to look at them alongside the cost and performance stuff. Yeah.swyx [00:09:24]: Okay. A couple of technical questions. I mean, so obviously I also thought about this and I didn't do it because of cost. Yep. Did you not worry about costs? Were you funded already? Clearly not, but you know. No. Well, we definitely weren't at the start.Micah [00:09:36]: So like, I mean, we're paying for it personally at the start. There's a lot of money. Well, the numbers weren't nearly as bad a couple of years ago. So we certainly incurred some costs, but we were probably in the order of like hundreds of dollars of spend across all the benchmarking that we were doing. Yeah. So nothing. Yeah. It was like kind of fine. Yeah. Yeah. These days that's gone up an enormous amount for a bunch of reasons that we can talk about. But yeah, it wasn't that bad because you can also remember that like the number of models we were dealing with was hardly any and the complexity of the stuff that we wanted to do to evaluate them was a lot less. Like we were just asking some Q&A type questions and then one specific thing was for a lot of evals initially, we were just like sampling an answer. You know, like, what's the answer for this? Like, we didn't want to go into the answer directly without letting the models think. We weren't even doing chain of thought stuff initially. And that was the most useful way to get some results initially. Yeah.swyx [00:10:33]: And so for people who haven't done this work, literally parsing the responses is a whole thing, right? Like because sometimes the models, the models can answer any way they feel fit and sometimes they actually do have the right answer, but they just returned the wrong format and they will get a zero for that unless you work it into your parser. And that involves more work. And so, I mean, but there's an open question whether you should give it points for not following your instructions on the format.Micah [00:11:00]: It depends what you're looking at, right? Because you can, if you're trying to see whether or not it can solve a particular type of reasoning problem, and you don't want to test it on its ability to do answer formatting at the same time, then you might want to use an LLM as answer extractor approach to make sure that you get the answer out no matter how unanswered. But these days, it's mostly less of a problem. Like, if you instruct a model and give it examples of what the answers should look like, it can get the answers in your format, and then you can do, like, a simple regex.swyx [00:11:28]: Yeah, yeah. And then there's other questions around, I guess, sometimes if you have a multiple choice question, sometimes there's a bias towards the first answer, so you have to randomize the responses. All these nuances, like, once you dig into benchmarks, you're like, I don't know how anyone believes the numbers on all these things. It's so dark magic.Micah [00:11:47]: You've also got, like… You've got, like, the different degrees of variance in different benchmarks, right? Yeah. So, if you run four-question multi-choice on a modern reasoning model at the temperatures suggested by the labs for their own models, the variance that you can see on a four-question multi-choice eval is pretty enormous if you only do a single run of it and it has a small number of questions, especially. So, like, one of the things that we do is run an enormous number of all of our evals when we're developing new ones and doing upgrades to our intelligence index to bring in new things. Yeah. So, that we can dial in the right number of repeats so that we can get to the 95% confidence intervals that we're comfortable with so that when we pull that together, we can be confident in intelligence index to at least as tight as, like, a plus or minus one at a 95% confidence. Yeah.swyx [00:12:32]: And, again, that just adds a straight multiple to the cost. Oh, yeah. Yeah, yeah.George [00:12:37]: So, that's one of many reasons that cost has gone up a lot more than linearly over the last couple of years. We report a cost to run the artificial analysis. We report a cost to run the artificial analysis intelligence index on our website, and currently that's assuming one repeat in terms of how we report it because we want to reflect a bit about the weighting of the index. But our cost is actually a lot higher than what we report there because of the repeats.swyx [00:13:03]: Yeah, yeah, yeah. And probably this is true, but just checking, you don't have any special deals with the labs. They don't discount it. You just pay out of pocket or out of your sort of customer funds. Oh, there is a mix. So, the issue is that sometimes they may give you a special end point, which is… Ah, 100%.Micah [00:13:21]: Yeah, yeah, yeah. Exactly. So, we laser focus, like, on everything we do on having the best independent metrics and making sure that no one can manipulate them in any way. There are quite a lot of processes we've developed over the last couple of years to make that true for, like, the one you bring up, like, right here of the fact that if we're working with a lab, if they're giving us a private endpoint to evaluate a model, that it is totally possible. That what's sitting behind that black box is not the same as they serve on a public endpoint. We're very aware of that. We have what we call a mystery shopper policy. And so, and we're totally transparent with all the labs we work with about this, that we will register accounts not on our own domain and run both intelligence evals and performance benchmarks… Yeah, that's the job. …without them being able to identify it. And no one's ever had a problem with that. Because, like, a thing that turns out to actually be quite a good… …good factor in the industry is that they all want to believe that none of their competitors could manipulate what we're doing either.swyx [00:14:23]: That's true. I never thought about that. I've been in the database data industry prior, and there's a lot of shenanigans around benchmarking, right? So I'm just kind of going through the mental laundry list. Did I miss anything else in this category of shenanigans? Oh, potential shenanigans.Micah [00:14:36]: I mean, okay, the biggest one, like, that I'll bring up, like, is more of a conceptual one, actually, than, like, direct shenanigans. It's that the things that get measured become things that get targeted by labs that they're trying to build, right? Exactly. So that doesn't mean anything that we should really call shenanigans. Like, I'm not talking about training on test set. But if you know that you're going to be great at another particular thing, if you're a researcher, there are a whole bunch of things that you can do to try to get better at that thing that preferably are going to be helpful for a wide range of how actual users want to use the thing that you're building. But will not necessarily work. Will not necessarily do that. So, for instance, the models are exceptional now at answering competition maths problems. There is some relevance of that type of reasoning, that type of work, to, like, how we might use modern coding agents and stuff. But it's clearly not one for one. So the thing that we have to be aware of is that once an eval becomes the thing that everyone's looking at, scores can get better on it without there being a reflection of overall generalized intelligence of these models. Getting better. That has been true for the last couple of years. It'll be true for the next couple of years. There's no silver bullet to defeat that other than building new stuff to stay relevant and measure the capabilities that matter most to real users. Yeah.swyx [00:15:58]: And we'll cover some of the new stuff that you guys are building as well, which is cool. Like, you used to just run other people's evals, but now you're coming up with your own. And I think, obviously, that is a necessary path once you're at the frontier. You've exhausted all the existing evals. I think the next point in history that I have for you is AI Grant that you guys decided to join and move here. What was it like? I think you were in, like, batch two? Batch four. Batch four. Okay.Micah [00:16:26]: I mean, it was great. Nat and Daniel are obviously great. And it's a really cool group of companies that we were in AI Grant alongside. It was really great to get Nat and Daniel on board. Obviously, they've done a whole lot of great work in the space with a lot of leading companies and were extremely aligned. With the mission of what we were trying to do. Like, we're not quite typical of, like, a lot of the other AI startups that they've invested in.swyx [00:16:53]: And they were very much here for the mission of what we want to do. Did they say any advice that really affected you in some way or, like, were one of the events very impactful? That's an interesting question.Micah [00:17:03]: I mean, I remember fondly a bunch of the speakers who came and did fireside chats at AI Grant.swyx [00:17:09]: Which is also, like, a crazy list. Yeah.George [00:17:11]: Oh, totally. Yeah, yeah, yeah. There was something about, you know, speaking to Nat and Daniel about the challenges of working through a startup and just working through the questions that don't have, like, clear answers and how to work through those kind of methodically and just, like, work through the hard decisions. And they've been great mentors to us as we've built artificial analysis. Another benefit for us was that other companies in the batch and other companies in AI Grant are pushing the capabilities. Yeah. And I think that's a big part of what AI can do at this time. And so being in contact with them, making sure that artificial analysis is useful to them has been fantastic for supporting us in working out how should we build out artificial analysis to continue to being useful to those, like, you know, building on AI.swyx [00:17:59]: I think to some extent, I'm mixed opinion on that one because to some extent, your target audience is not people in AI Grants who are obviously at the frontier. Yeah. Do you disagree?Micah [00:18:09]: To some extent. To some extent. But then, so a lot of what the AI Grant companies are doing is taking capabilities coming out of the labs and trying to push the limits of what they can do across the entire stack for building great applications, which actually makes some of them pretty archetypical power users of artificial analysis. Some of the people with the strongest opinions about what we're doing well and what we're not doing well and what they want to see next from us. Yeah. Yeah. Because when you're building any kind of AI application now, chances are you're using a whole bunch of different models. You're maybe switching reasonably frequently for different models and different parts of your application to optimize what you're able to do with them at an accuracy level and to get better speed and cost characteristics. So for many of them, no, they're like not commercial customers of ours, like we don't charge for all our data on the website. Yeah. They are absolutely some of our power users.swyx [00:19:07]: So let's talk about just the evals as well. So you start out from the general like MMU and GPQA stuff. What's next? How do you sort of build up to the overall index? What was in V1 and how did you evolve it? Okay.Micah [00:19:22]: So first, just like background, like we're talking about the artificial analysis intelligence index, which is our synthesis metric that we pulled together currently from 10 different eval data sets to give what? We're pretty much the same as that. Pretty confident is the best single number to look at for how smart the models are. Obviously, it doesn't tell the whole story. That's why we published the whole website of all the charts to dive into every part of it and look at the trade-offs. But best single number. So right now, it's got a bunch of Q&A type data sets that have been very important to the industry, like a couple that you just mentioned. It's also got a couple of agentic data sets. It's got our own long context reasoning data set and some other use case focused stuff. As time goes on. The things that we're most interested in that are going to be important to the capabilities that are becoming more important for AI, what developers are caring about, are going to be first around agentic capabilities. So surprise, surprise. We're all loving our coding agents and how the model is going to perform like that and then do similar things for different types of work are really important to us. The linking to use cases to economically valuable use cases are extremely important to us. And then we've got some of the. Yeah. These things that the models still struggle with, like working really well over long contexts that are not going to go away as specific capabilities and use cases that we need to keep evaluating.swyx [00:20:46]: But I guess one thing I was driving was like the V1 versus the V2 and how bad it was over time.Micah [00:20:53]: Like how we've changed the index to where we are.swyx [00:20:55]: And I think that reflects on the change in the industry. Right. So that's a nice way to tell that story.Micah [00:21:00]: Well, V1 would be completely saturated right now. Almost every model coming out because doing things like writing the Python functions and human evil is now pretty trivial. It's easy to forget, actually, I think how much progress has been made in the last two years. Like we obviously play the game constantly of like the today's version versus last week's version and the week before and all of the small changes in the horse race between the current frontier and who has the best like smaller than 10B model like right now this week. Right. And that's very important to a lot of developers and people and especially in this particular city of San Francisco. But when you zoom out a couple of years ago, literally most of what we were doing to evaluate the models then would all be 100% solved by even pretty small models today. And that's been one of the key things, by the way, that's driven down the cost of intelligence at every tier of intelligence. We can talk about more in a bit. So V1, V2, V3, we made things harder. We covered a wider range of use cases. And we tried to get closer to things developers care about as opposed to like just the Q&A type stuff that MMLU and GPQA represented. Yeah.swyx [00:22:12]: I don't know if you have anything to add there. Or we could just go right into showing people the benchmark and like looking around and asking questions about it. Yeah.Micah [00:22:21]: Let's do it. Okay. This would be a pretty good way to chat about a few of the new things we've launched recently. Yeah.George [00:22:26]: And I think a little bit about the direction that we want to take it. And we want to push benchmarks. Currently, the intelligence index and evals focus a lot on kind of raw intelligence. But we kind of want to diversify how we think about intelligence. And we can talk about it. But kind of new evals that we've kind of built and partnered on focus on topics like hallucination. And we've got a lot of topics that I think are not covered by the current eval set that should be. And so we want to bring that forth. But before we get into that.swyx [00:23:01]: And so for listeners, just as a timestamp, right now, number one is Gemini 3 Pro High. Then followed by Cloud Opus at 70. Just 5.1 high. You don't have 5.2 yet. And Kimi K2 Thinking. Wow. Still hanging in there. So those are the top four. That will date this podcast quickly. Yeah. Yeah. I mean, I love it. I love it. No, no. 100%. Look back this time next year and go, how cute. Yep.George [00:23:25]: Totally. A quick view of that is, okay, there's a lot. I love it. I love this chart. Yeah.Micah [00:23:30]: This is such a favorite, right? Yeah. And almost every talk that George or I give at conferences and stuff, we always put this one up first to just talk about situating where we are in this moment in history. This, I think, is the visual version of what I was saying before about the zooming out and remembering how much progress there's been. If we go back to just over a year ago, before 01, before Cloud Sonnet 3.5, we didn't have reasoning models or coding agents as a thing. And the game was very, very different. If we go back even a little bit before then, we're in the era where, when you look at this chart, open AI was untouchable for well over a year. And, I mean, you would remember that time period well of there being very open questions about whether or not AI was going to be competitive, like full stop, whether or not open AI would just run away with it, whether we would have a few frontier labs and no one else would really be able to do anything other than consume their APIs. I am quite happy overall that the world that we have ended up in is one where... Multi-model. Absolutely. And strictly more competitive every quarter over the last few years. Yeah. This year has been insane. Yeah.George [00:24:42]: You can see it. This chart with everything added is hard to read currently. There's so many dots on it, but I think it reflects a little bit what we felt, like how crazy it's been.swyx [00:24:54]: Why 14 as the default? Is that a manual choice? Because you've got service now in there that are less traditional names. Yeah.George [00:25:01]: It's models that we're kind of highlighting by default in our charts, in our intelligence index. Okay.swyx [00:25:07]: You just have a manually curated list of stuff.George [00:25:10]: Yeah, that's right. But something that I actually don't think every artificial analysis user knows is that you can customize our charts and choose what models are highlighted. Yeah. And so if we take off a few names, it gets a little easier to read.swyx [00:25:25]: Yeah, yeah. A little easier to read. Totally. Yeah. But I love that you can see the all one jump. Look at that. September 2024. And the DeepSeek jump. Yeah.George [00:25:34]: Which got close to OpenAI's leadership. They were so close. I think, yeah, we remember that moment. Around this time last year, actually.Micah [00:25:44]: Yeah, yeah, yeah. I agree. Yeah, well, a couple of weeks. It was Boxing Day in New Zealand when DeepSeek v3 came out. And we'd been tracking DeepSeek and a bunch of the other global players that were less known over the second half of 2024 and had run evals on the earlier ones and stuff. I very distinctly remember Boxing Day in New Zealand, because I was with family for Christmas and stuff, running the evals and getting back result by result on DeepSeek v3. So this was the first of their v3 architecture, the 671b MOE.Micah [00:26:19]: And we were very, very impressed. That was the moment where we were sure that DeepSeek was no longer just one of many players, but had jumped up to be a thing. The world really noticed when they followed that up with the RL working on top of v3 and R1 succeeding a few weeks later. But the groundwork for that absolutely was laid with just extremely strong base model, completely open weights that we had as the best open weights model. So, yeah, that's the thing that you really see in the game. But I think that we got a lot of good feedback on Boxing Day. us on Boxing Day last year.George [00:26:48]: Boxing Day is the day after Christmas for those not familiar.George [00:26:54]: I'm from Singapore.swyx [00:26:55]: A lot of us remember Boxing Day for a different reason, for the tsunami that happened. Oh, of course. Yeah, but that was a long time ago. So yeah. So this is the rough pitch of AAQI. Is it A-A-Q-I or A-A-I-I? I-I. Okay. Good memory, though.Micah [00:27:11]: I don't know. I'm not used to it. Once upon a time, we did call it Quality Index, and we would talk about quality, performance, and price, but we changed it to intelligence.George [00:27:20]: There's been a few naming changes. We added hardware benchmarking to the site, and so benchmarks at a kind of system level. And so then we changed our throughput metric to, we now call it output speed, and thenswyx [00:27:32]: throughput makes sense at a system level, so we took that name. Take me through more charts. What should people know? Obviously, the way you look at the site is probably different than how a beginner might look at it.Micah [00:27:42]: Yeah, that's fair. There's a lot of fun stuff to dive into. Maybe so we can hit past all the, like, we have lots and lots of emails and stuff. The interesting ones to talk about today that would be great to bring up are a few of our recent things, I think, that probably not many people will be familiar with yet. So first one of those is our omniscience index. So this one is a little bit different to most of the intelligence evils that we've run. We built it specifically to look at the embedded knowledge in the models and to test hallucination by looking at when the model doesn't know the answer, so not able to get it correct, what's its probability of saying, I don't know, or giving an incorrect answer. So the metric that we use for omniscience goes from negative 100 to positive 100. Because we're simply taking off a point if you give an incorrect answer to the question. We're pretty convinced that this is an example of where it makes most sense to do that, because it's strictly more helpful to say, I don't know, instead of giving a wrong answer to factual knowledge question. And one of our goals is to shift the incentive that evils create for models and the labs creating them to get higher scores. And almost every evil across all of AI up until this point, it's been graded by simple percentage correct as the main metric, the main thing that gets hyped. And so you should take a shot at everything. There's no incentive to say, I don't know. So we did that for this one here.swyx [00:29:22]: I think there's a general field of calibration as well, like the confidence in your answer versus the rightness of the answer. Yeah, we completely agree. Yeah. Yeah.George [00:29:31]: On that. And one reason that we didn't do that is because. Or put that into this index is that we think that the, the way to do that is not to ask the models how confident they are.swyx [00:29:43]: I don't know. Maybe it might be though. You put it like a JSON field, say, say confidence and maybe it spits out something. Yeah. You know, we have done a few evils podcasts over the, over the years. And when we did one with Clementine of hugging face, who maintains the open source leaderboard, and this was one of her top requests, which is some kind of hallucination slash lack of confidence calibration thing. And so, Hey, this is one of them.Micah [00:30:05]: And I mean, like anything that we do, it's not a perfect metric or the whole story of everything that you think about as hallucination. But yeah, it's pretty useful and has some interesting results. Like one of the things that we saw in the hallucination rate is that anthropics Claude models at the, the, the very left-hand side here with the lowest hallucination rates out of the models that we've evaluated amnesty is on. That is an interesting fact. I think it probably correlates with a lot of the previously, not really measured vibes stuff that people like about some of the Claude models. Is the dataset public or what's is it, is there a held out set? There's a hell of a set for this one. So we, we have published a public test set, but we we've only published 10% of it. The reason is that for this one here specifically, it would be very, very easy to like have data contamination because it is just factual knowledge questions. We would. We'll update it at a time to also prevent that, but with yeah, kept most of it held out so that we can keep it reliable for a long time. It leads us to a bunch of really cool things, including breakdown quite granularly by topic. And so we've got some of that disclosed on the website publicly right now, and there's lots more coming in terms of our ability to break out very specific topics. Yeah.swyx [00:31:23]: I would be interested. Let's, let's dwell a little bit on this hallucination one. I noticed that Haiku hallucinates less than Sonnet hallucinates less than Opus. And yeah. Would that be the other way around in a normal capability environments? I don't know. What's, what do you make of that?George [00:31:37]: One interesting aspect is that we've found that there's not really a, not a strong correlation between intelligence and hallucination, right? That's to say that the smarter the models are in a general sense, isn't correlated with their ability to, when they don't know something, say that they don't know. It's interesting that Gemini three pro preview was a big leap over here. Gemini 2.5. Flash and, and, and 2.5 pro, but, and if I add pro quickly here.swyx [00:32:07]: I bet pro's really good. Uh, actually no, I meant, I meant, uh, the GPT pros.George [00:32:12]: Oh yeah.swyx [00:32:13]: Cause GPT pros are rumored. We don't know for a fact that it's like eight runs and then with the LM judge on top. Yeah.George [00:32:20]: So we saw a big jump in, this is accuracy. So this is just percent that they get, uh, correct and Gemini three pro knew a lot more than the other models. And so big jump in accuracy. But relatively no change between the Google Gemini models, between releases. And the hallucination rate. Exactly. And so it's likely due to just kind of different post-training recipe, between the, the Claude models. Yeah.Micah [00:32:45]: Um, there's, there's driven this. Yeah. You can, uh, you can partially blame us and how we define intelligence having until now not defined hallucination as a negative in the way that we think about intelligence.swyx [00:32:56]: And so that's what we're changing. Uh, I know many smart people who are confidently incorrect.George [00:33:02]: Uh, look, look at that. That, that, that is very humans. Very true. And there's times and a place for that. I think our view is that hallucination rate makes sense in this context where it's around knowledge, but in many cases, people want the models to hallucinate, to have a go. Often that's the case in coding or when you're trying to generate newer ideas. One eval that we added to artificial analysis is, is, is critical point and it's really hard, uh, physics problems. Okay.swyx [00:33:32]: And is it sort of like a human eval type or something different or like a frontier math type?George [00:33:37]: It's not dissimilar to frontier frontier math. So these are kind of research questions that kind of academics in the physics physics world would be able to answer, but models really struggled to answer. So the top score here is not 9%.swyx [00:33:51]: And when the people that, that created this like Minway and, and, and actually off via who was kind of behind sweep and what organization is this? Oh, is this, it's Princeton.George [00:34:01]: Kind of range of academics from, from, uh, different academic institutions, really smart people. They talked about how they turn the models up in terms of the temperature as high temperature as they can, where they're trying to explore kind of new ideas in physics as a, as a thought partner, just because they, they want the models to hallucinate. Um, yeah, sometimes it's something new. Yeah, exactly.swyx [00:34:21]: Um, so not right in every situation, but, um, I think it makes sense, you know, to test hallucination in scenarios where it makes sense. Also, the obvious question is, uh, this is one of. Many that there is there, every lab has a system card that shows some kind of hallucination number, and you've chosen to not, uh, endorse that and you've made your own. And I think that's a, that's a choice. Um, totally in some sense, the rest of artificial analysis is public benchmarks that other people can independently rerun. You provide it as a service here. You have to fight the, well, who are we to, to like do this? And your, your answer is that we have a lot of customers and, you know, but like, I guess, how do you converge the individual?Micah [00:35:08]: I mean, I think, I think for hallucinations specifically, there are a bunch of different things that you might care about reasonably, and that you'd measure quite differently, like we've called this a amnesty and solutionation rate, not trying to declare the, like, it's humanity's last hallucination. You could, uh, you could have some interesting naming conventions and all this stuff. Um, the biggest picture answer to that. It's something that I actually wanted to mention. Just as George was explaining, critical point as well is, so as we go forward, we are building evals internally. We're partnering with academia and partnering with AI companies to build great evals. We have pretty strong views on, in various ways for different parts of the AI stack, where there are things that are not being measured well, or things that developers care about that should be measured more and better. And we intend to be doing that. We're not obsessed necessarily with that. Everything we do, we have to do entirely within our own team. Critical point. As a cool example of where we were a launch partner for it, working with academia, we've got some partnerships coming up with a couple of leading companies. Those ones, obviously we have to be careful with on some of the independent stuff, but with the right disclosure, like we're completely comfortable with that. A lot of the labs have released great data sets in the past that we've used to great success independently. And so it's between all of those techniques, we're going to be releasing more stuff in the future. Cool.swyx [00:36:26]: Let's cover the last couple. And then we'll, I want to talk about your trends analysis stuff, you know? Totally.Micah [00:36:31]: So that actually, I have one like little factoid on omniscience. If you go back up to accuracy on omniscience, an interesting thing about this accuracy metric is that it tracks more closely than anything else that we measure. The total parameter count of models makes a lot of sense intuitively, right? Because this is a knowledge eval. This is the pure knowledge metric. We're not looking at the index and the hallucination rate stuff that we think is much more about how the models are trained. This is just what facts did they recall? And yeah, it tracks parameter count extremely closely. Okay.swyx [00:37:05]: What's the rumored size of GPT-3 Pro? And to be clear, not confirmed for any official source, just rumors. But rumors do fly around. Rumors. I get, I hear all sorts of numbers. I don't know what to trust.Micah [00:37:17]: So if you, if you draw the line on omniscience accuracy versus total parameters, we've got all the open ways models, you can squint and see that likely the leading frontier models right now are quite a lot bigger than the ones that we're seeing right now. And the one trillion parameters that the open weights models cap out at, and the ones that we're looking at here, there's an interesting extra data point that Elon Musk revealed recently about XAI that for three trillion parameters for GROK 3 and 4, 6 trillion for GROK 5, but that's not out yet. Take those together, have a look. You might reasonably form a view that there's a pretty good chance that Gemini 3 Pro is bigger than that, that it could be in the 5 to 10 trillion parameters. To be clear, I have absolutely no idea, but just based on this chart, like that's where you would, you would land if you have a look at it. Yeah.swyx [00:38:07]: And to some extent, I actually kind of discourage people from guessing too much because what does it really matter? Like as long as they can serve it as a sustainable cost, that's about it. Like, yeah, totally.George [00:38:17]: They've also got different incentives in play compared to like open weights models who are thinking to supporting others in self-deployment for the labs who are doing inference at scale. It's I think less about total parameters in many cases. When thinking about inference costs and more around number of active parameters. And so there's a bit of an incentive towards larger sparser models. Agreed.Micah [00:38:38]: Understood. Yeah. Great. I mean, obviously if you're a developer or company using these things, not exactly as you say, it doesn't matter. You should be looking at all the different ways that we measure intelligence. You should be looking at cost to run index number and the different ways of thinking about token efficiency and cost efficiency based on the list prices, because that's all it matters.swyx [00:38:56]: It's not as good for the content creator rumor mill where I can say. Oh, GPT-4 is this small circle. Look at GPT-5 is this big circle. And then there used to be a thing for a while. Yeah.Micah [00:39:07]: But that is like on its own, actually a very interesting one, right? That is it just purely that chances are the last couple of years haven't seen a dramatic scaling up in the total size of these models. And so there's a lot of room to go up properly in total size of the models, especially with the upcoming hardware generations. Yes.swyx [00:39:29]: So, you know. Taking off my shitposting face for a minute. Yes. Yes. At the same time, I do feel like, you know, especially coming back from Europe, people do feel like Ilya is probably right that the paradigm is doesn't have many more orders of magnitude to scale out more. And therefore we need to start exploring at least a different path. GDPVal, I think it's like only like a month or so old. I was also very positive when it first came out. I actually talked to Tejo, who was the lead researcher on that. Oh, cool. And you have your own version.George [00:39:59]: It's a fantastic. It's a fantastic data set. Yeah.swyx [00:40:01]: And maybe it will recap for people who are still out of it. It's like 44 tasks based on some kind of GDP cutoff that's like meant to represent broad white collar work that is not just coding. Yeah.Micah [00:40:12]: Each of the tasks have a whole bunch of detailed instructions, some input files for a lot of them. It's within the 44 is divided into like two hundred and twenty two to five, maybe subtasks that are the level of that we run through the agenda. And yeah, they're really interesting. I will say that it doesn't. It doesn't necessarily capture like all the stuff that people do at work. No avail is perfect is always going to be more things to look at, largely because in order to make the tasks well enough to find that you can run them, they need to only have a handful of input files and very specific instructions for that task. And so I think the easiest way to think about them are that they're like quite hard take home exam tasks that you might do in an interview process.swyx [00:40:56]: Yeah, for listeners, it is not no longer like a long prompt. It is like, well, here's a zip file with like a spreadsheet or a PowerPoint deck or a PDF and go nuts and answer this question.George [00:41:06]: OpenAI released a great data set and they released a good paper which looks at performance across the different web chat bots on the data set. It's a great paper, encourage people to read it. What we've done is taken that data set and turned it into an eval that can be run on any model. So we created a reference agentic harness that can run. Run the models on the data set, and then we developed evaluator approach to compare outputs. That's kind of AI enabled, so it uses Gemini 3 Pro Preview to compare results, which we tested pretty comprehensively to ensure that it's aligned to human preferences. One data point there is that even as an evaluator, Gemini 3 Pro, interestingly, doesn't do actually that well. So that's kind of a good example of what we've done in GDPVal AA.swyx [00:42:01]: Yeah, the thing that you have to watch out for with LLM judge is self-preference that models usually prefer their own output, and in this case, it was not. Totally.Micah [00:42:08]: I think the way that we're thinking about the places where it makes sense to use an LLM as judge approach now, like quite different to some of the early LLM as judge stuff a couple of years ago, because some of that and MTV was a great project that was a good example of some of this a while ago was about judging conversations and like a lot of style type stuff. Here, we've got the task that the grader and grading model is doing is quite different to the task of taking the test. When you're taking the test, you've got all of the agentic tools you're working with, the code interpreter and web search, the file system to go through many, many turns to try to create the documents. Then on the other side, when we're grading it, we're running it through a pipeline to extract visual and text versions of the files and be able to provide that to Gemini, and we're providing the criteria for the task and getting it to pick which one more effectively meets the criteria of the task. Yeah. So we've got the task out of two potential outcomes. It turns out that we proved that it's just very, very good at getting that right, matched with human preference a lot of the time, because I think it's got the raw intelligence, but it's combined with the correct representation of the outputs, the fact that the outputs were created with an agentic task that is quite different to the way the grading model works, and we're comparing it against criteria, not just kind of zero shot trying to ask the model to pick which one is better.swyx [00:43:26]: Got it. Why is this an ELO? And not a percentage, like GDP-VAL?George [00:43:31]: So the outputs look like documents, and there's video outputs or audio outputs from some of the tasks. It has to make a video? Yeah, for some of the tasks. Some of the tasks.swyx [00:43:43]: What task is that?George [00:43:45]: I mean, it's in the data set. Like be a YouTuber? It's a marketing video.Micah [00:43:49]: Oh, wow. What? Like model has to go find clips on the internet and try to put it together. The models are not that good at doing that one, for now, to be clear. It's pretty hard to do that with a code editor. I mean, the computer stuff doesn't work quite well enough and so on and so on, but yeah.George [00:44:02]: And so there's no kind of ground truth, necessarily, to compare against, to work out percentage correct. It's hard to come up with correct or incorrect there. And so it's on a relative basis. And so we use an ELO approach to compare outputs from each of the models between the task.swyx [00:44:23]: You know what you should do? You should pay a contractor, a human, to do the same task. And then give it an ELO and then so you have, you have human there. It's just, I think what's helpful about GDPVal, the OpenAI one, is that 50% is meant to be normal human and maybe Domain Expert is higher than that, but 50% was the bar for like, well, if you've crossed 50, you are superhuman. Yeah.Micah [00:44:47]: So we like, haven't grounded this score in that exactly. I agree that it can be helpful, but we wanted to generalize this to a very large number. It's one of the reasons that presenting it as ELO is quite helpful and allows us to add models and it'll stay relevant for quite a long time. I also think it, it can be tricky looking at these exact tasks compared to the human performance, because the way that you would go about it as a human is quite different to how the models would go about it. Yeah.swyx [00:45:15]: I also liked that you included Lama 4 Maverick in there. Is that like just one last, like...Micah [00:45:20]: Well, no, no, no, no, no, no, it is the, it is the best model released by Meta. And... So it makes it into the homepage default set, still for now.George [00:45:31]: Other inclusion that's quite interesting is we also ran it across the latest versions of the web chatbots. And so we have...swyx [00:45:39]: Oh, that's right.George [00:45:40]: Oh, sorry.swyx [00:45:41]: I, yeah, I completely missed that. Okay.George [00:45:43]: No, not at all. So that, which has a checkered pattern. So that is their harness, not yours, is what you're saying. Exactly. And what's really interesting is that if you compare, for instance, Claude 4.5 Opus using the Claude web chatbot, it performs worse than the model in our agentic harness. And so in every case, the model performs better in our agentic harness than its web chatbot counterpart, the harness that they created.swyx [00:46:13]: Oh, my backwards explanation for that would be that, well, it's meant for consumer use cases and here you're pushing it for something.Micah [00:46:19]: The constraints are different and the amount of freedom that you can give the model is different. Also, you like have a cost goal. We let the models work as long as they want, basically. Yeah. Do you copy paste manually into the chatbot? Yeah. Yeah. That's, that was how we got the chatbot reference. We're not going to be keeping those updated at like quite the same scale as hundreds of models.swyx [00:46:38]: Well, so I don't know, talk to a browser base. They'll, they'll automate it for you. You know, like I have thought about like, well, we should turn these chatbot versions into an API because they are legitimately different agents in themselves. Yes. Right. Yeah.Micah [00:46:53]: And that's grown a huge amount of the last year, right? Like the tools. The tools that are available have actually diverged in my opinion, a fair bit across the major chatbot apps and the amount of data sources that you can connect them to have gone up a lot, meaning that your experience and the way you're using the model is more different than ever.swyx [00:47:10]: What tools and what data connections come to mind when you say what's interesting, what's notable work that people have done?Micah [00:47:15]: Oh, okay. So my favorite example on this is that until very recently, I would argue that it was basically impossible to get an LLM to draft an email for me in any useful way. Because most times that you're sending an email, you're not just writing something for the sake of writing it. Chances are context required is a whole bunch of historical emails. Maybe it's notes that you've made, maybe it's meeting notes, maybe it's, um, pulling something from your, um, any of like wherever you at work store stuff. So for me, like Google drive, one drive, um, in our super base databases, if we need to do some analysis or some data or something, preferably model can be plugged into all of those things and can go do some useful work based on it. The things that like I find most impressive currently that I am somewhat surprised work really well in late 2025, uh, that I can have models use super base MCP to query read only, of course, run a whole bunch of SQL queries to do pretty significant data analysis. And. And make charts and stuff and can read my Gmail and my notion. And okay. You actually use that. That's good. That's, that's, that's good. Is that a cloud thing? To various degrees of order, but chat GPD and Claude right now, I would say that this stuff like barely works in fairness right now. Like.George [00:48:33]: Because people are actually going to try this after they hear it. If you get an email from Micah, odds are it wasn't written by a chatbot.Micah [00:48:38]: So, yeah, I think it is true that I have never actually sent anyone an email drafted by a chatbot. Yet.swyx [00:48:46]: Um, and so you can, you can feel it right. And yeah, this time, this time next year, we'll come back and see where it's going. Totally. Um, super base shout out another famous Kiwi. Uh, I don't know if you've, you've any conversations with him about anything in particular on AI building and AI infra.George [00:49:03]: We have had, uh, Twitter DMS, um, with, with him because we're quite big, uh, super base users and power users. And we probably do some things more manually than we should in. In, in super base support line because you're, you're a little bit being super friendly. One extra, um, point regarding, um, GDP Val AA is that on the basis of the overperformance of the models compared to the chatbots turns out, we realized that, oh, like our reference harness that we built actually white works quite well on like gen generalist agentic tasks. This proves it in a sense. And so the agent harness is very. Minimalist. I think it follows some of the ideas that are in Claude code and we, all that we give it is context management capabilities, a web search, web browsing, uh, tool, uh, code execution, uh, environment. Anything else?Micah [00:50:02]: I mean, we can equip it with more tools, but like by default, yeah, that's it. We, we, we give it for GDP, a tool to, uh, view an image specifically, um, because the models, you know, can just use a terminal to pull stuff in text form into context. But to pull visual stuff into context, we had to give them a custom tool, but yeah, exactly. Um, you, you can explain an expert. No.George [00:50:21]: So it's, it, we turned out that we created a good generalist agentic harness. And so we, um, released that on, on GitHub yesterday. It's called stirrup. So if people want to check it out and, and it's a great, um, you know, base for, you know, generalist, uh, building a generalist agent for more specific tasks.Micah [00:50:39]: I'd say the best way to use it is get clone and then have your favorite coding. Agent make changes to it, to do whatever you want, because it's not that many lines of code and the coding agents can work with it. Super well.swyx [00:50:51]: Well, that's nice for the community to explore and share and hack on it. I think maybe in, in, in other similar environments, the terminal bench guys have done, uh, sort of the Harbor. Uh, and so it's, it's a, it's a bundle of, well, we need our minimal harness, which for them is terminus and we also need the RL environments or Docker deployment thing to, to run independently. So I don't know if you've looked at it. I don't know if you've looked at the harbor at all, is that, is that like a, a standard that people want to adopt?George [00:51:19]: Yeah, we've looked at it from a evals perspective and we love terminal bench and, and host benchmarks of, of, of terminal mention on artificial analysis. Um, we've looked at it from a, from a coding agent perspective, but could see it being a great, um, basis for any kind of agents. I think where we're getting to is that these models have gotten smart enough. They've gotten better, better tools that they can perform better when just given a minimalist. Set of tools and, and let them run, let the model control the, the agentic workflow rather than using another framework that's a bit more built out that tries to dictate the, dictate the flow. Awesome.swyx [00:51:56]: Let's cover the openness index and then let's go into the report stuff. Uh, so that's the, that's the last of the proprietary art numbers, I guess. I don't know how you sort of classify all these. Yeah.Micah [00:52:07]: Or call it, call it, let's call it the last of like the, the three new things that we're talking about from like the last few weeks. Um, cause I mean, there's a, we do a mix of stuff that. Where we're using open source, where we open source and what we do and, um, proprietary stuff that we don't always open source, like long context reasoning data set last year, we did open source. Um, and then all of the work on performance benchmarks across the site, some of them, we looking to open source, but some of them, like we're constantly iterating on and so on and so on and so on. So there's a huge mix, I would say, just of like stuff that is open source and not across the side. So that's a LCR for people. Yeah, yeah, yeah, yeah.swyx [00:52:41]: Uh, but let's, let's, let's talk about open.Micah [00:52:42]: Let's talk about openness index. This. Here is call it like a new way to think about how open models are. We, for a long time, have tracked where the models are open weights and what the licenses on them are. And that's like pretty useful. That tells you what you're allowed to do with the weights of a model, but there is this whole other dimension to how open models are. That is pretty important that we haven't tracked until now. And that's how much is disclosed about how it was made. So transparency about data, pre-training data and post-training data. And whether you're allowed to use that data and transparency about methodology and training code. So basically, those are the components. We bring them together to score an openness index for models so that you can in one place get this full picture of how open models are.swyx [00:53:32]: I feel like I've seen a couple other people try to do this, but they're not maintained. I do think this does matter. I don't know what the numbers mean apart from is there a max number? Is this out of 20?George [00:53:44]: It's out of 18 currently, and so we've got an openness index page, but essentially these are points, you get points for being more open across these different categories and the maximum you can achieve is 18. So AI2 with their extremely open OMO3 32B think model is the leader in a sense.swyx [00:54:04]: It's hooking face.George [00:54:05]: Oh, with their smaller model. It's coming soon. I think we need to run, we need to get the intelligence benchmarks right to get it on the site.swyx [00:54:12]: You can't have it open in the next. We can not include hooking face. We love hooking face. We'll have that, we'll have that up very soon. I mean, you know, the refined web and all that stuff. It's, it's amazing. Or is it called fine web? Fine web. Fine web.Micah [00:54:23]: Yeah, yeah, no, totally. Yep. One of the reasons this is cool, right, is that if you're trying to understand the holistic picture of the models and what you can do with all the stuff the company's contributing, this gives you that picture. And so we are going to keep it up to date alongside all the models that we do intelligence index on, on the site. And it's just an extra view to understand.swyx [00:54:43]: Can you scroll down to this? The, the, the, the trade-offs chart. Yeah, yeah. That one. Yeah. This, this really matters, right? Obviously, because you can b

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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

This week, Tommy is joined by bestselling author Rachel Reid, the writer behind Heated Rivalry and the Game Changers series. The series is beloved for redefining queer romance in the world of professional hockey. What began as a passion project quickly became a phenomenon, earning Rachel a devoted global fanbase and cementing Heated Rivalry as a modern romance classic. She opens up about the origins of Heated Rivalry, how Shane and Ilya’s story evolved from a side romance into something much bigger, and why readers connected so deeply to its emotional honesty. Rachel discusses why Connor Storrie and Hudson Williams were the only choices for Ilya and Shane, if more Ilya and Shane books are coming, and what we might see in Season 2 of the hit series. She also talks about fandom culture, online communities, and the unexpected life-changing success of her books, as well as what it’s like to create characters that live far beyond the page. Plus, she shares what she’s learned as a writer, what inspires her storytelling, and why romance (especially queer romance) matters now more than ever. And she is answering YOUR burning fan questions! Subscribe, rate, and leave a written review if you enjoy this conversation! Tune in every week for new episodes of I’ve Never Said This Before Executive Producers: iHeart Media and Elvis Duran Podcast Network Follow us on socials! Instagram: @neversaidthisbefore YouTube: @neversaidthisbeforeSee omnystudio.com/listener for privacy information.

The holiday break is almost over. We're coming back into town, taking down the decorations, and getting ready for a new year. But first, we gotta catch up! It's been a minute, so let's indulge in a little small talk spectacular (™)!! And this small talk covers a lot of ground. We discuss the good (New Orleans, family, strange christmas movies), the bad (floods, hangovers, life stuff), and (most importantly!) HEATED RIVALRY! Listen to us chat about Ilya, Shane, Rose, Kip, Scott, smoothies/juices, abs, arms, butts, and, oh yeah, some other stuff we've been up to the past few weeks.Also, as you're listening to this, be sure to wish Bobby a HAPPY BIRTHDAY! He's finally the age he was born to be.TSHE Recommends: Wake Up Dead ManConnect with the show!This is your show, too. Feel free to drop us a line, send us a voice memo, or fax us a butt to let us know what you think.Facebook group: This Show Has EverythingFax Bobby Your Butt: 617-354-8513 Feedback form: www.throwyourphone.com Email: tsheshow@gmail.comAOL Keyword: TSHE

STRAIGHT GUYS REACT To This Heartfelt & Touching Premiere!! Heated Rivalry Full Reaction Watch Along: ⁠  / thereelrejects  ⁠ Gift Someone (Or Yourself) An RR Tee! ⁠https://shorturl.at/hekk2⁠ With Greg & John wrapped for the season, Aaron & Andrew take the ice to give their Heated Rivalry Reaction, Recap, Analysis, Breakdown, & Spoiler Review!! Aaron Alexander & Andrew Gordon react to Episodes 1 & 2 of Heated Rivalry, the Crave / HBO sports romance series adapted from Rachel Reid's bestselling novel. The premiere episodes set the foundation for the show's central tensions—rivalry, attraction, secrecy, and ambition—inside the high-pressure world of professional hockey. Episodes 1 and 2 introduce fierce on-ice rivals Shane Hollander (Hudson Williams – Bel-Air, Holly Hobbie), the disciplined Canadian golden boy, and Ilya Rosanov (Connor Storrie – Slasher, The Porter), the brash, unpredictable Russian superstar. Their first encounters establish a combustible mix of competition and undeniable chemistry that quickly blurs professional boundaries. As their rivalry intensifies across games, media attention, and locker-room encounters, both men begin navigating secret hookups that complicate their careers and personal identities. The opening episodes also begin expanding the series' emotional scope beyond Shane and Ilya. Scott Hunter (François Arnaud – Midnight, Texas, Blindspot) is positioned as the league's polished star and public ideal, while Kip (Robbie G.K. – Departure, Murdoch Mysteries) enters the story as an outsider whose presence will eventually challenge hockey's culture of silence. Together, these storylines establish Heated Rivalry as more than a romance—framing it as a character-driven exploration of masculinity, ambition, and what it costs to hide who you are. Highly discussed moments from the premiere include the charged first clashes between Shane and Ilya, the contrast between public bravado and private vulnerability, and the early signals that this rivalry is headed somewhere far more dangerous—and intimate—than either man expects. Follow Aaron On Instagram: ⁠https://www.instagram.com/therealaaronalexander/?hl=en⁠ Follow Andrew Gordon on Socials:  YouTube: ⁠https://www.youtube.com/@MovieSource⁠ Instagram:⁠ ⁠ ⁠https://www.instagram.com/agor711/?hl=en⁠ Twitter:  ⁠https://twitter.com/Agor711⁠ Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. ⁠https://creativecommons.org/licenses/...⁠ Support The Channel By Getting Some REEL REJECTS Apparel! ⁠https://www.rejectnationshop.com/⁠ Follow Us On Socials:  Instagram: ⁠https://www.instagram.com/reelrejects/⁠  Tik-Tok: ⁠https://www.tiktok.com/@reelrejects?lang=en⁠ Twitter: ⁠https://x.com/reelrejects⁠ Facebook: ⁠https://www.facebook.com/TheReelRejects/⁠ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. ⁠https://creativecommons.org/licenses/by/4.0/⁠ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. ⁠https://creativecommons.org/licenses/...⁠ POWERED BY @GFUEL Visit⁠ https://gfuel.ly/3wD5Ygo⁠ and use code REJECTNATION for 20% off select tubs!! Head Editor:⁠ https://www.instagram.com/praperhq/?hl=en⁠ Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license.⁠ https://creativecommons.org/licenses/by/4.0/⁠ Ask Us A QUESTION On CAMEO:⁠ https://www.cameo.com/thereelrejects⁠ Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  ⁠https://www.facebook.com/TheReelRejects/⁠ INSTAGRAM: ⁠ https://www.instagram.com/reelrejects/⁠ TWITTER:  ⁠https://twitter.com/thereelrejects⁠ Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  ⁠https://www.instagram.com/thegregalba/⁠ TWITTER:  ⁠https://twitter.com/thegregalba⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to the new season of The Ball Boys! Paul is joined by Ivy Pochoda to break down the off season action and everything from Heated Rivalry to Venus's wedding to the heartbreak of the Carlos Alcaraz and Juan Carlos Ferrero split. We cover the battle of the sexists - oops, sexes! And we have two new games for you. With Heated Riv-rally we're deciding who on tour is a Shane, an Ilya, a Scott, or Kip. It's like when we all used to argue about who was a Samantha and who was a Carrie, but hornier. And we have a round of New Yours Resolutions where we match players to resolutions, because The Ball Boys know best.

STRAIGHT GUYS REACT To This Heartfelt & Touching Premiere!! Heated Rivalry Full Reaction Watch Along:   / thereelrejects   Gift Someone (Or Yourself) An RR Tee! https://shorturl.at/hekk2 With Greg & John wrapped for the season, Aaron & Andrew take the ice to give their Heated Rivalry Reaction, Recap, Analysis, Breakdown, & Spoiler Review!! Aaron Alexander & Andrew Gordon react to Episodes 1 & 2 of Heated Rivalry, the Crave / HBO sports romance series adapted from Rachel Reid's bestselling novel. The premiere episodes set the foundation for the show's central tensions—rivalry, attraction, secrecy, and ambition—inside the high-pressure world of professional hockey. Episodes 1 and 2 introduce fierce on-ice rivals Shane Hollander (Hudson Williams – Bel-Air, Holly Hobbie), the disciplined Canadian golden boy, and Ilya Rosanov (Connor Storrie – Slasher, The Porter), the brash, unpredictable Russian superstar. Their first encounters establish a combustible mix of competition and undeniable chemistry that quickly blurs professional boundaries. As their rivalry intensifies across games, media attention, and locker-room encounters, both men begin navigating secret hookups that complicate their careers and personal identities. The opening episodes also begin expanding the series' emotional scope beyond Shane and Ilya. Scott Hunter (François Arnaud – Midnight, Texas, Blindspot) is positioned as the league's polished star and public ideal, while Kip (Robbie G.K. – Departure, Murdoch Mysteries) enters the story as an outsider whose presence will eventually challenge hockey's culture of silence. Together, these storylines establish Heated Rivalry as more than a romance—framing it as a character-driven exploration of masculinity, ambition, and what it costs to hide who you are. Highly discussed moments from the premiere include the charged first clashes between Shane and Ilya, the contrast between public bravado and private vulnerability, and the early signals that this rivalry is headed somewhere far more dangerous—and intimate—than either man expects. Follow Aaron On Instagram: https://www.instagram.com/therealaaronalexander/?hl=en Follow Andrew Gordon on Socials:  YouTube: https://www.youtube.com/@MovieSource Instagram:  https://www.instagram.com/agor711/?hl=en Twitter:  https://twitter.com/Agor711 Intense Suspense by Audionautix is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... Support The Channel By Getting Some REEL REJECTS Apparel! https://www.rejectnationshop.com/ Follow Us On Socials:  Instagram: https://www.instagram.com/reelrejects/  Tik-Tok: https://www.tiktok.com/@reelrejects?lang=en Twitter: https://x.com/reelrejects Facebook: https://www.facebook.com/TheReelRejects/ Music Used In Ad:  Hat the Jazz by Twin Musicom is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Happy Alley by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/... POWERED BY @GFUEL Visit https://gfuel.ly/3wD5Ygo and use code REJECTNATION for 20% off select tubs!! Head Editor: https://www.instagram.com/praperhq/?hl=en Co-Editor: Greg Alba Co-Editor: John Humphrey Music In Video: Airport Lounge - Disco Ultralounge by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/ Ask Us A QUESTION On CAMEO: https://www.cameo.com/thereelrejects Follow TheReelRejects On FACEBOOK, TWITTER, & INSTAGRAM:  FB:  https://www.facebook.com/TheReelRejects/ INSTAGRAM:  https://www.instagram.com/reelrejects/ TWITTER:  https://twitter.com/thereelrejects Follow GREG ON INSTAGRAM & TWITTER: INSTAGRAM:  https://www.instagram.com/thegregalba/ TWITTER:  https://twitter.com/thegregalba Learn more about your ad choices. Visit megaphone.fm/adchoices

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.

From Berkeley robotics and OpenAI's 2017 Dota-era internship to shipping RL breakthroughs on GPT-4o, o1, and o3, and now leading model development at Cursor, Ashvin Nair has done it all. We caught up with Ashvin at NeurIPS 2025 to dig into the inside story of OpenAI's reasoning team (spoiler: it went from a dozen people to 300+), why IOI Gold felt reachable in 2022 but somehow didn't change the world when o1 actually achieved it, how RL doesn't generalize beyond the training distribution (and why that means you need to bring economically useful tasks into distribution by co-designing products and models), the deeper lessons from the RL research era (2017–2022) and why most of it didn't pan out because the community overfitted to benchmarks, how Cursor is uniquely positioned to do continual learning at scale with policy updates every two hours and product-model co-design that keeps engineers in the loop instead of context-switching into ADHD hell, and his bet that the next paradigm shift is continual learning with infinite memory—where models experience something once (a bug, a mistake, a user pattern) and never forget it, storing millions of deployment tokens in weights without overloading capacity. We discuss: Ashvin's path: Berkeley robotics PhD → OpenAI 2017 intern (Dota era) → o1/o3 reasoning team → Cursor ML lead in three months Why robotics people are the most grounded at NeurIPS (they work with the real world) and simulation people are the most unhinged (Lex Fridman's take) The IOI Gold paradox: "If you told me we'd achieve IOI Gold in 2022, I'd assume we could all go on vacation—AI solved, no point working anymore. But life is still the same." The RL research era (2017–2022) and why most of it didn't pan out: overfitting to benchmarks, too many implicit knobs to tune, and the community rewarding complex ideas over simple ones that generalize Inside the o1 origin story: a dozen people, conviction from Ilya and Jakob Pachocki that RL would work, small-scale prototypes producing "surprisingly accurate reasoning traces" on math, and first-principles belief that scaled The reasoning team grew from ~12 to 300+ people as o1 became a product and safety, tooling, and deployment scaled up Why Cursor is uniquely positioned for continual learning: policy updates every two hours (online RL on tab), product and ML sitting next to each other, and the entire software engineering workflow (code, logs, debugging, DataDog) living in the product Composer as the start of product-model co-design: smart enough to use, fast enough to stay in the loop, and built by a 20–25 person ML team with high-taste co-founders who code daily The next paradigm shift: continual learning with infinite memory—models that experience something once (a bug, a user mistake) and store it in weights forever, learning from millions of deployment tokens without overloading capacity (trillions of pretraining tokens = plenty of room) Why off-policy RL is unstable (Ashvin's favorite interview question) and why Cursor does two-day work trials instead of whiteboard interviews The vision: automate software engineering as a process (not just answering prompts), co-design products so the entire workflow (write code, check logs, debug, iterate) is in-distribution for RL, and make models that never make the same mistake twice — Ashvin Nair Cursor: https://cursor.com X: https://x.com/ashvinnair_ Chapters 00:00:00 Introduction: From Robotics to Cursor via OpenAI 00:01:58 The Robotics to LLM Agent Transition: Why Code Won 00:09:11 RL Research Winter and Academic Overfitting 00:11:45 The Scaling Era and Moving Goalposts: IOI Gold Doesn't Mean AGI 00:21:30 OpenAI's Reasoning Journey: From Codex to O1 00:20:03 The Blip: Thanksgiving 2023 and OpenAI Governance 00:22:39 RL for Reasoning: The O-Series Conviction and Scaling 00:25:47 O1 to O3: Smooth Internal Progress vs External Hype Cycles 00:33:07 Why Cursor: Co-Designing Products and Models for Real Work 00:34:14 Composer and the Future: Online Learning Every Two Hours 00:35:15 Continual Learning: The Missing Paradigm Shift 00:44:00 Hiring at Cursor and Why Off-Policy RL is Unstable

Adam Marblestone is CEO of Convergent Research. He's had a very interesting past life: he was a research scientist at Google Deepmind on their neuroscience team and has worked on everything from brain-computer interfaces to quantum computing to nanotech and even formal mathematics.In this episode, we discuss how the brain learns so much from so little, what the AI field can learn from neuroscience, and the answer to Ilya's question: how does the genome encode abstract reward functions? Turns out, they're all the same question.Watch on YouTube; read the transcript.Sponsors* Gemini 3 Pro recently helped me run an experiment to test multi-agent scaling: basically, if you have a fixed budget of compute, what is the optimal way to split it up across agents? Gemini was my colleague throughout the process — honestly, I couldn't have investigated this question without it. Try Gemini 3 Pro today gemini.google.com* Labelbox helps you train agents to do economically-valuable, real-world tasks. Labelbox's network of subject-matter experts ensures you get hyper-realistic RL environments, and their custom tooling lets you generate the highest-quality training data possible from those environments. Learn more at labelbox.com/dwarkeshTo sponsor a future episode, visit dwarkesh.com/advertise.Timestamps(00:00:00) – The brain's secret sauce is the reward functions, not the architecture(00:22:20) – Amortized inference and what the genome actually stores(00:42:42) – Model-based vs model-free RL in the brain(00:50:31) – Is biological hardware a limitation or an advantage?(01:03:59) – Why a map of the human brain is important(01:23:28) – What value will automating math have?(01:38:18) – Architecture of the brainFurther readingIntro to Brain-Like-AGI Safety - Steven Byrnes's theory of the learning vs steering subsystem; referenced throughout the episode.A Brief History of Intelligence - Great book by Max Bennett on connections between neuroscience and AIAdam's blog, and Convergent Research's blog on essential technologies.A Tutorial on Energy-Based Learning by Yann LeCunWhat Does It Mean to Understand a Neural Network? - Kording & LillicrapE11 Bio and their brain connectomics approachSam Gershman on what dopamine is doing in the brainGwern's proposal on training models on the brain's hidden states Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

Reposted from The ‘Cast of Us, which you can find at: ⁠https://podcastica.com/podcast/puck-it⁠ — Join Danni and Jenny in crashing Shane and Ilya's meditation retreat at the cottage. Learn more about your ad choices. Visit megaphone.fm/adchoices

by UFO History Buff & Author, Charles Lear ~ This past week, I found myself in the position of having two co-workers who are UFO witnesses and decided to take advantage of this and have them tell their stories for this blog.The first story is that of Ilya Vett, 54, who has been with the organization for over three years, and he first told it to me not long after I met him. He grew up in the area of New Paltz, New York, which is near Pine Bush and the Hudson Valley. Both of those areas are notorious for UFO flaps in the 1980s (Ilya and I went to the 2022 Pine Bush UFO Fair where I met up with Martin), which is when Ilya said he had his sighting. Ilya also told me that his wife, prior to their marriage, had a sighting of a UFO with her family while they were driving. According to him, when they got home, it was over their house.As for Ilya's story, he recorded it for me on his own time not prompted by any questions from me. According to him, he and some friends were riding their bikes on Prospect Street in New Paltz sometime in the fall (school had started) “in the early 80s.” It was dark, and they were heading north towards Henry W. Dubois Drive. The area was undeveloped at the time, and there were “a lot of trees” on both sides of the road. They heard what Ilya indicated through vocalizations was a combination of a whoosh and a hum, though he settled on it not being “distinct.” Read more →

Anyone else still mentally at the cottage with Shane and Ilya? Need more Heated Rivalry content? Then come join us this week as we break down the season finale of Heated Rivalry. We fangirl over that kiss in episode five too (iykyk). Plus, we've now all officially finished The Long Game too! The second half of the episode is a brief deep dive into the rest of the series.

The boys dove into episode 1 of HEATED RIVALRY and they are absolutely loving it! Star hockey players, Shane and Ilya, navigate their budding pro hockey careers while the sexual and romantic charge between them is too much to ignore. The fellas break down the laughs, the sexiness, and all the action! Learn more about your ad choices. Visit megaphone.fm/adchoices

In this podcast episode of Previously On, fangirl Jillian and her husband Tyler recap the season 1 finale episode of Heated Rivalry, Episode 6 "The Cottage." From hand-holding car rides to making burgers and opening up about family, they break down why this finale works so well and why it feels like such a reward after everything Shane Hollander and Ilya Rozanov have been through. And of course, they react to Shane and Ilya getting caught at the cottage!Then they break down the top 5 true love romantic moments, meeting the parents (your boyfriend's here!!!), and the future they're planning together. Plus, they discuss everything known so far about Heated Rivalry season 2 and make predictions about what's next for the series. #heatedrivalry #recap #podcast 00:00:00 Reenactment of Ilya's problem00:01:05 Introduction to podcast00:02:56 Finale discussion00:04:38 Dad catches Shane and Ilya00:11:34 No books, no spoilers disclaimer00:13:02 Future of Heated Rivalry00:17:51 Timeline00:21:02 Top 5 true love moments for Shane and Ilya in Ep 600:22:22 Holding hands in the car00:27:11 Don't marry Svetlana00:32:16 Opening up about family00:38:07 Ilya and Shane say "I love you"00:42:41 Meeting the parents with your boyfriend00:53:26 Shane's talk with mom00:57:16 Tyler's takes00:57:26 Scott Hunter's speech00:57:46 What about Kip?01:02:14 Shane preparing the cottage for Ilya01:03:00 Silent retreat - good or bad lie?01:03:45 Did Shane practice that thirsty line?01:04:29 Might not last long warning01:05:04 Shane grilled 8 burgers01:06:29 Best Ilya quotes01:08:09 Rose and Hayden call Shane01:09:42 Hockey video game01:11:13 Plan to change the narrative01:20:12 Knee-ography01:21:06 Parents don't text01:22:28 Season 2 predictionsBuy our merch: ⁠https://www.etsy.com/shop/PreviouslyOnTeenTV⁠Follow Previously On Teen TV on Instagram: ⁠⁠https://www.instagram.com/previouslyon_teentv/Follow Previously On Teen TV on TikTok: ⁠⁠https://www.tiktok.com/@previouslyon_teentv⁠⁠Subscribe to our YouTube: ⁠⁠https://www.youtube.com/channel/UCe2lgvvZGKMrQ8v24FmDdWQ?sub_confirmation=1⁠

Joanna Robinson and Mallory Rubin team up to discuss and dissect the Season 1 finale of Canadian hockey romance ‘Heated Rivalry.' (00:00) Intro(4:10) Heated Rivalry's placement on the list of best shows of 2025(9:00) How the cottage changed Shane and Ilya's relationship(22:09) The delight of a happy ending(29:10) Shane's questionable choices for cottage meals(37:00) Shane's glistening eyeballs(48:35) Mal's horny questions for Jo about Season 1 Email us! prestigetv@spotify.com Subscribe to the Ringer TV YouTube channel for full episodes of The Prestige TV Podcast and so much more! Hosts: Joanna Robinson and Mallory RubinProducer: Devon BaroldiAdditional Production Support: Justin Sayles Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sean White is joined by Julia Lee, Yash Ketharam, and Ilya Mazalov. The group dives into the journeys of Gen Z engineers and advocates, exploring their roles in student organizations, hands-on projects like the Solar Car Race, and their vision for the future of sustainability. The discussion covers generational perspectives, the power of community, and the challenges and opportunities in renewable energy education.   Topics Covered: Grassroots community Triton Solar Car Formula Sun Grand Prix Solar powered car Generational perspectives Social media Renewable energy education UC San Diego Club Climate change Student leadership Tips in writing and publishing books   Reach them out here: Julia Lee: www.linkedin.com/in/julialee123 Yash Ketharam: www.linkedin.com/in/yash-ketharam Ilya Mazalov: www.linkedin.com/in/ilya-mazalov UC San Diego Renewable Energy Club: www.eswtritons.wordpress.com   Learn more at www.solarSEAN.com and be sure to get NABCEP certified by taking Sean's classes at: www.heatspring.com/sean www.solarsean.com/ess

That stigma around parents in youth sports? It's an unfortunate part of the culture, but Coach Ilya Podolskiy is taking a different approach and bringing families into the process. In this episode, you'll hear how he turns parents into allies and creates a culture where kids build resilience while still having fun. Our conversation highlights how important families are to an athlete's development, the impact sports and mentorship can have in a child's life, and what makes a truly great coach. Topics discussed: Introduction (00:00) Why progress is a constant driver in Ilya's life (01:40) Overcoming childhood bullying through martial arts (05:34) How he discovered hockey and became a coach (08:57) The importance of being a mentor, not just a coach (14:36) How he juggles full-time work, coaching, and family life (19:59) The Podolskiy Method: why parents need to be involved in youth sports (23:48) Two things that keep families and kids coming back to the game (26:29) Giving back through Hockey Helps 24-Hour Marathon (28:10) What brought you JOY today? (31:13) Resources: Sending your child to college will always be emotional but are you financially ready? Take the College Readiness Quiz for Parents: https://www.mitlinfinancial.com/college-readiness-quiz/ Doing your taxes might not be enJOYable but being more organized can make the process less painful. Get Your Gathering Your Tax Documents Checklist: https://www.mitlinfinancial.com/wp-content/uploads/2024/06/Mitlin_ChecklistForGatheringYourTaxDocuments_Form_062424_v2.pdf Will you be able to enJOY the Retirement you envision? Take the Retirement Ready Quiz: https://www.mitlinfinancial.com/retirement-planning-quiz/ Connect with Larry Sprung: LinkedIn: https://www.linkedin.com/in/lawrencesprung/ Instagram: https://www.instagram.com/larry_sprung/ Facebook: https://www.facebook.com/LawrenceDSprung/ X (Twitter): https://x.com/Lawrence_Sprung Connect with Ilya Podolskiy: Sharp Skate NY Instagram: http://instagram.com/SharpSkateNY/ Ilya's Facebook: https://www.facebook.com/ilya.podolskiy.5 Sharp Skate NY's Facebook: https://www.facebook.com/Sharpskate YouTube: https://www.youtube.com/@thepodolskiymethod-parenti9182 LinkedIn: https://www.linkedin.com/in/ilya-podolskiy-cpa-89b2b71a Website: https://thepodolskiymethod.squarespace.com/ Podcast: https://www.buzzsprout.com/1759705 About Our Guest: Ilya Podolskiy is a USA Hockey Level 5 Master Coach and Coach Developer, as well as the Lead Hockey Instructor for the New York Junior Rangers. With years of experience coaching travel youth hockey at multiple ages and levels, he has built a reputation for developing athletes and guiding families through the youth sports journey. He is also the creator and host of The Podolskiy Method Podcast, where he shares insights on parenting athletes and the role of education in sports. Beyond hockey, Ilya holds a black belt in Taekwondo, where he previously taught martial arts, blending discipline and character into his coaching approach.  In addition, Ilya wrestled in high school and collegiate levels and continued to study various Martial art disciplines like Muay Thai, KickBoxing, and Karate, amongst others. Professionally, he is a CPA and earned his Master's degree from Villanova School of Law, combining analytical precision with a passion for teaching and mentorship. Currently, Ilya is seeking new keynote speaking opportunities to share his coaching philosophy, leadership lessons, and personal experiences with broader audiences. Disclosure: Guests on the Mitlin Money Mindset are not affiliated with CWM, LLC, and opinions expressed herein may not be representative of CWM, LLC. CWM, LLC is not responsible for the guest's content linked on this site. This episode was produced by Podcast Boutique https://www.podcastboutique.com

Evan Ross Katz chats with actor CONNOR STORRIE on all things HEATED RIVALRY in his first ever podcast appearance. Host: Evan Ross KatzProducer: Sophia AsmuthShow links: Evan Ross Katz on Instagram https://www.instagram.com/evanrosskatz/Watch the full episode: https://www.youtube.com/@ShutUpEvanCHAPTERS00:00 Intro4:40 Success of the show9:00 Book vs. TV show fans14:00 Ilya's journey, learning Russian23:00 Dealing with expectations25:18 Hudson Williams call30:00 Hannah Einbinder call32:40 Filming sex scenes, being “America's Ass”41:00 Andrew Scott callSee acast.com/privacy for privacy and opt-out information. Hosted on Acast. See acast.com/privacy for more information.

Reposted from The ‘Cast of Us, which you can find at: https://podcastica.com/podcast/the-cast-of-us — Shane, Ilya, and Scott begin to accept and reveal the truth of their situations. Danni and Jenny bask in the sun and chat about the latest news in hockey. Next up: Heated Rivalry S1E6 “The Cottage”. Let us know your thoughts! You can email or send a voice message to puckit@podcastica.com. Or check out our Podcastica Facebook group, where we put up comment posts for each episode, at facebook.com/groups/podcastica.  Learn more about your ad choices. Visit megaphone.fm/adchoices

In this podcast episode of Previously On, fangirl Jillian and her husband Tyler are joined by their friend Ryan Carlos to recap the emotional episode 5 of Heated Rivalry, "I'll Believe in Anything." Then they read listener questions, comments, and theories from the Mailbag. They discuss music from the show, gay athletes, straight actors playing queer roles, watered down smoothies, and even Taylor Swift.Finally, everyone gives their predications for episode 6 the season one finale of Heated Rivalry. Will Shane Hollander and Ilya Rozanov come out? What will the reaction be to Scott Hunter and Kip going public with their relationship?00:00 Introduction to podcast01:26 No spoilers; no book talk01:50 Scott and Kip's big kiss (Tyler teared up)06:53 Music and cultural phenomenon of HR11:09 Rose having the talk with Shane12:33 Scott and Kip's future, watery smoothies14:21 Mailbag15:07 Game Changer name meaning16:42 Changing tone of the show18:41 Will Scott interact with Shane and Ilya? Will they come out?27:38 HR not eligible for Emmys?!33:01 Comparing HR to Taylor Swift's new docu-series39:43 Straight actors playing queer roles44:48 Shane and Illya calling each other by first names47:09 Do Jillian and Tyler live together?49:27 Predictions for season finaleFollow Ryan Carlos:https://www.tiktok.com/@oh.its.ryanhttps://x.com/OhItsRyanBuy our merch:⁠https://www.etsy.com/shop/PreviouslyOnTeenTV⁠Follow Previously On Teen TV on Instagram: ⁠⁠https://www.instagram.com/previouslyon_teentv/Follow Previously On Teen TV on TikTok: ⁠⁠https://www.tiktok.com/@previouslyon_teentv⁠⁠Subscribe to our YouTube: ⁠⁠https://www.youtube.com/channel/UCe2lgvvZGKMrQ8v24FmDdWQ?sub_confirmation=1⁠

Brett and Christina host an OG episode. Christina talks about her upcoming spinal surgery and navigating insurance hassles. Brett talks about his sleep issues, project progress, and coding routines. They dive into the complexities of USB-C cables, from volts to data rates. And TV’s just ‘okay’ now, except for some softcore gay porn. Kagi search saves the day. Happy holidays — and get some sleep. Sponsor Copilot Money can help you take control of your finances. Get a fresh start with your money for 2026 with 26% off when you visit try.copilot.money/overtired and use code OVERTIRED. Shopify is the commerce platform behind 10% of all eCommerce in the US, from household names like Mattel and Gymshark, to brands just getting started. Get started today at shopify.com/overtired. Show Links CaberQu BLE cable tester Umami Analytics Plausible Analytics Kagi The Comfortable Problem of Mid TV – The New York Times Fallout Heated Rivalry (TV Series 2025– ) – IMDb Chapters 00:00 Introduction and Greetings 00:40 Christina’s Health Update 05:05 Brett’s Sleep and Work Routine 12:19 USB-C Cable Confusion 22:03 Sponsor Break: Shopify 24:26 Sponsor Break: Copilot Money 26:57 Exploring Rocket Money and Web Interfaces 27:21 Discovering Umami Analytics 28:06 Nostalgia for Mint and Fever 28:44 The Decline of RSS and Google Reader 31:45 Switching to Kagi Search Engine 32:33 The Rise of AI-Generated Content 40:46 TV Shows: Is TV Just Okay Now? 47:24 The Cultural Phenomenon of Heated Rivalry 52:50 Wrapping Up and Holiday Wishes Join the Conversation Merch Come chat on Discord! Twitter/ovrtrd Instagram/ovrtrd Youtube Get the Newsletter Thanks! You’re downloading today’s show from CacheFly’s network BackBeat Media Podcast Network Check out more episodes at overtiredpod.com and subscribe on Apple Podcasts, Spotify, or your favorite podcast app. Find Brett as @ttscoff, Christina as @film_girl, Jeff as @jsguntzel, and follow Overtired at @ovrtrd on Twitter. Transcript Universal Serial Bitching Introduction and Greetings [00:00:00] Brett: Hey, you’re listening to Overtired. I am Brett Terpstra, and it’s just me and Christina Warren this morning. How you doing, Christina? Christina: Doing pretty good. Doing pretty good. Yeah. This is the, this is the OG Overtired configuration. Brett: right back to basics. Um, Christina: We do miss you Jeff, though. Ho, ho, ho. Hope that Jeff is having a great holiday with his family. Brett: we’ll have to have some, uh, gratuitous Wiki K hole that you go down just to, to commemorate the olden days. Um, so yeah, let’s, uh, let’s, let’s do a quick check-in. Christina’s Health Update Brett: Um, I’m curious about your health and all of the wildness that’s going on with your spine and whatnot. Christina: Yeah. Yeah. Um, same. I wanna hear about you too. Um, so, uh, Christina’s cervical spine update, as it were. Um, I am [00:01:00] still waiting to, as we’re recording this, which is like. Uh, three days before Christmas, uh, I’m still waiting to hear from the, uh, hospital to see if I can, when I can get scheduled. Um, insurance has sort of been a pain in the ass, so when I talked to them last week, they were like, we sent them some paperwork. We’re still waiting for some things back then. I called the insurance company and the, the, uh, like my insurance is like, has like an intermediary service that is supposed to contact the insurance company on your behalf and that person, but like, I can’t contact them directly. And then that person was like, oh, you don’t need pre-authorization. Go ahead and schedule the surgery. And I’m like, this doesn’t feel right. Um, so, but, but we, we went ahead and we called back the, you know, the, the surgeon, um, his office and they were very nice and we were like. They say that we can get on the books. So I don’t know when that will be. I’m hoping that it will be, you know, like the first week of January, um, or, or, or thereabouts. Um, but I don’t know. Um, [00:02:00] so I am still kind of in this like limbo stage where I don’t know exactly when I’m gonna have the surgery, except hopefully soon. And, um, and, and for anyone who hasn’t caught up, I, uh, I have a bulging disc on C seven on my cervical spine, and I’m going to get a, um, artificial disc replacement. Um, so they’re gonna take out the, you know, bulging bone and all that and put in, uh, some synthetic piece and then hopefully that will immediately relieve the, the pain that has been primarily through the left side of, uh, my arm and my shoulder, um, uh, down through my fingers. But it’s been on my right side a little bit too. So hopefully when that is done, it’ll be a relatively short recovery. Um, I’ll have an early scar and um, I will be, you know, not. Uh, the pain right now, like the levels aren’t terrible, but I’m pretty numb, uh, on my, my, my left arm, my, my right arm, um, uh, or right fingers I guess too, but, but really it’s, it’s, uh, the, the, the left side [00:03:00] that’s the worst. And traveling. Um, I’m, I’m in Atlanta with my family right now and, you know, kind of doing other things is just not, it’s not great. So, um, hopefully I’ll be getting surgery sooner rather than later. But obviously all that stuff does impact your mental health too, when you’re in pain and, and you, you know, are freaked out too about, you know, like, even though like they do, you know, it, it’s not an uncommon surgery and, and it, and it should be fine, but you know, there’s always these things in the back of your mind. You’re like, okay, well what if something goes wrong or whatever. So I’m just, I’m looking forward to, um, you know, light at the end of the tunnel, but um, still kind of in a holding pattern with that. So Brett: Wow. So that scar’s, that scar’s gonna be on your throat. Christina: Yeah, Brett: Wow. Christina: yeah. Like probably like. No, not really. I’m, I mean, I’m hoping that it’ll be, uh, like no, it really won’t be at all. Brett: I, I, I would like to have it. I can understand why you wouldn’t. Christina: yeah, I mean, you know, I will obviously, you know, uh, hopefully it’ll be like low enough to be [00:04:00] primarily covered by shirts or other things, although, who knows? ’cause I do like to wear like, lower cut things sometimes. I don’t know. It, it’ll hopefully, you Brett: I heard chokers are coming back. Christina: Yeah, I don’t, unfortunately. I think it’s gonna be too, uh, low for that. Brett: Okay. Christina: uh, like, it, it’s gonna be, I think like it might hit against my laryn is, is what they say. That’s the other thing too. I might have, you know, some hoarseness after, won’t we permanent? Um, you know, knock on wood. Um, Brett: go on Etsy, you can get, um, they’re for BDSM, they’re like neck, uh, they hold your chin up. They’re like posture enhancers. Uh, but they sell them within leather with like corset straps. ’cause they’re like A-B-D-S-M accessory. That would work. Christina: No, no. Not even once. Uh, not even once. I mean, look, a good group of people who wanna do that, uh, I I will not be wearing a collar of any sort of that sort of thing. Uh, I, I, I don’t, I don’t really wanna, wanna be part [00:05:00] of, uh, one of that, those types of, you know, uh, Harlequin romance novels. , Brett’s Sleep and Work Routine Brett: All right, well, I will go ahead and check in. Um, I, I’m sleeping really well for like two days at a time, and then I’ll have. A string of like five or six hours of sleep, which isn’t nothing. Um, but it’s not quite enough for me to not feel tired all the time. And two nights of sleep is not enough for me to catch up on sleep. And, um, so I’m kind of, this has been going on for like a year though, so it’s, I’m just kind of, I’m used to it and I’ve learned to operate pretty well on six or seven hours of sleep, even though historically like I need eight and a half. Um, but I’m doing okay and I get up about four every morning and I start coding and I usually code from like four to noon, so an eight [00:06:00] hour workday, uh, with a breakfast somewhere in there. And, um, I’ve made really good progress. Marked is, as far as I can tell, ready to go wide with the beta. Um. I think I’ve solved every bug that’s been reported so far. I only have about a hundred testers right now, um, but I’m gonna open it up, uh, try to get maybe a thousand testers for a couple weeks and then go for a live release. The biggest thing that I’m running into is problems with getting the, like free trial and the purchase mechanisms working, which is the exact same thing that’s holding up NV Ultra right now. Um, so if I can figure it out for Mark, I can port it to NV Ultra. I can have two apps out there making money, hopefully never have to get a job again. Um, I’m teamed up right now with Dan Peterson, formerly of One Password. Um, and we’re [00:07:00] working on some iOS apps and. And, uh, apex. My, my, all my Universal markdown processor is, it’s coming along really well. I’ve, I’ve put it out there. Um, I’ve talked to John Gruber a little bit about it. He’s gonna give it more of a workout and get back to me. Um, but I think, I think it’s getting to a point where I would be comfortable integrating it into Mark and even talking to some other, uh, apps about using it as their default processor, um, and kind of alleviating some of the issues people run into with, uh, differences in syntax. Um, I. I, I, I talked to Devon, think, uh, Eric from Devon think about using it. ’cause they use multi markdown right now, uh, which has a lot of cool features, but is not [00:08:00] really in sync with what most of the web is using these days. Um, so I talked to them about it and they’re like, oh, we had the exact same idea and we’re almost done with our own universal processor. Um, and theirs is gonna output like RTF and things that I don’t need apex to do. ’cause you can just pipe apex into panoc and do everything you need. So anyway, I’m, I’m tired. I’m, I’m in good spirits. I. I’m dealing fine with winter. My, I’m alone on Christmas, which is gonna be weird. Um, my family’s outta town. Elle is house sitting I’ll, I’ll go visit Elle, but most of the day I’m gonna be like by myself on Christmas and I don’t drink anymore. And I, I don’t, I don’t know how that’s gonna go yet. Um, initially I thought, oh, that’s fine. I like being alone. But then, [00:09:00] then the idea of like, not having anyone to talk to you on Christmas day started to feel a little depressing. Christina: Yeah. Yeah. Um, but, um, hopefully, um, when, when will, uh, when will I’ll be back from, from house sitting. How long is, uh, are, are they going to be Brett: I think. I think the people, the, the house owners come back Thursday or Friday. Christina: Okay. Brett: Then we’re gonna take off and go up to Minneapolis to hang out with her family for a weekend. So, I don’t know. It’ll, it’s gonna be fine. It’s gonna be fine. We’re gonna like cook on Christmas Eve and, and have leftovers on Christmas day. It’ll be fine. Christina: Yeah, yeah. Well, but, but it, but, but that is weird. Like, I’m sure like to be, you know, not, not, not, not with like your usual crew, but, um, [00:10:00] especially without the alcohol there. But that’s probably a good thing too. Brett: Yeah, I guess. Um, I will have all the cats. I’ll be fine. I have to take care of the dog too. Christina: Have, have you heard any updates, like, um, I guess, um, about when you were, you know, you were in the hospital a few times over the last year with, with various things. Did you ever get any definitive update on what that was? Brett: On which one? I have so many symptoms. Which one are we talking about? Christina: Well, I guess I, I guess when you, you know, you’ve had to be like hospitalized or Brett: The pancreatitis. Christina: had the pancreatitis. Brett: the, the fact that it hasn’t happened again since I stopped drinking, um, really does indicate that it was entirely alcohol that was causing the problem. Um, so yeah, I’m just, I’m never gonna drink again. That’s fine. It’s, it’s all fine. Um, I did, I did get approved to get back on Medicaid. Um, so [00:11:00] yeah, I haven’t gotten the paperwork in the mail yet. Uh, but my old card should just start working and I’ll be able to, my, my new doctor wants a whole bunch more tests, including an MRI of my pituitary gland. Um. Like testosterone tests and stuff that I guess is more specific to what she thinks might be going on with me. Um, but now I can, I can actually get those tests That would’ve been just a huge out-of-pocket expense over the last couple months. So I’m excited. I’m excited to be back on Medicaid. I wish everyone could have Medicaid. Christina: Yeah, that would be really nice. That would be really nice if, if, if we had systems like that available, um, for everyone. Um, but. Instead, you know, if they’re, like, if you have really great health, I mean, you, you pointed those out. Like you have really great health insurance if you [00:12:00] can prove that you, you know, make absolutely no money. Um, but, but that opens up so many other, you know, issues that most people aren’t lucky enough to be able Brett: right. Yeah, totally. Christina: right. Brett: All right, well do you, okay, first topic. USB-C Cable Confusion Brett: How much do you know about USBC cables and the various specs? Christina: Uh, Brett: you know a shit ton. Christina: I do, unfortunately, I know a lot. Brett: So I, I had been operating under the assumption that there were basically, you had like data USBC cables, you had, uh, thunderbolt USBC cables and you had like, power only USPC cables. It turns out there’s like 18 different varieties of different, uh, like vol, uh, voltage, uh, amperage, uh, levels, like total wattage basically. And, um, and transfer speeds. And, [00:13:00] um, and there’s like maximum links for different types of cable. And it, it, I started to understand why like. One device would charge with one cable and another device would not charge with the same cable, even though they all have the same connector. Christina: Yeah. Yeah. I mean, I think this is, this is why, um, some of us have been really like eye rolly at the EU for their pronouncements about certain things, because simply mandating a connector type doesn’t actually solve the problem. Brett: No, it actually confuses it a little bit Christina: I think Yeah, I was going to say exactly. I think in some cases it makes it worse. Right? And, and then you have different, like, and, and then getting SB four into it, uh, uh, versus like, like, like, like various Thunderbolt versions. Like that adds complications too, because technically SB four and Thunderbolt four should basically be the same, but they’re not really, there are a couple of things that Thunderbolt might have that [00:14:00] USB four doesn’t necessarily have to have, although for all intents and purposes they might be the same. And then of course, thunderbolts five is its own thing too. So like I bought off of Kickstarter, I got like this, you know, like a cable charger, basically like, like a connector thing. It was like $120. For this, this, this thing that basically you can plug a cable into and you can see its voltage and um, or not voltage, I guess it’s uh, you know, amperage or whatever. And you can see like, it, it, it’s transfer speed and you can basically like check that on like a little display, which is useful, but the fact that like, you have to buy that sometimes. So like figure out, well, okay, well which cable is this? Right? And then, uh, to your point about lengths, right? So like, okay, so you want something that’s going to be fast charging but also high speed data transfer. Alright, well that means that you, the cable’s gonna have to be stiff. It’s not gonna be able to be something that’s really bendable. Um, which of course is what most people are going to want. So like you can get a fast charge, like a 240 wat or a hundred and, you know, 20 wat or, or [00:15:00] whatever, um, like a USB 2.0 transfer speed cable. But if you want one that’s, uh, going to be, you know, fast charging and. Fast data transfer, then like that’s a different type. And they have like limited lengths, which again, can also be associated with like Thunderbolt or Thunderbolt. You know, cables are much more expensive. Um, and, uh, uh, you know, the, the, the, but their, their lengths are limited. Um, yeah. Uh, it’s very confusing. Brett: Did you know that in rare circumstances there are even devices that will only charge with an A to C cable. Christina: Yes, Brett: That’s so insane. Christina: yeah, no, I’ve run into that myself and then that’s a weird thing and I don’t even know how that should work. ’cause it’s, it’s, it’s a bizarre thing. You’re like, okay, well I thought this was just like a, you know, maybe like a dumb end, but it’s like, no, there’s like, you know, basically a microchip Brett: Like a two pin to two pin. Christina: at this point. Brett: Like two pen to two pen, no pd like you would think that would work with C to C, [00:16:00] but somehow it has to be A to c. I am getting one of those cable testers. I asked for one for Christmas so I could figure out this pile of cables I have and like my Sonos Ace headphones are very particular about which cables and what, um, charging hub I hooked them up to Christina: Right. Oh, yeah, hubs. I was gonna say, hubs introduce a whole other complication into this too, because depending on what hub you’re using, if you’re using a USB hub, it may or may not have certain things versus a Thunderbolt hub versus something else, versus just like, um, you know, a power brick. Like, yeah. Brett: Yeah. It’s fun stuff you. Christina: Yeah. No, it’s annoying. And, um, like, and what, what’s frustrating about this is like some of the cables that they’re better, like you can look at the, you know, the bottoms of them and you can see like they will have like the USB like four, or they might have 3.2, or they might have, you know, like the thunderbolt, you know, um, uh, icon [00:17:00] with, with, with its version. So you can figure out is this 20 gigabits, is this 40, is this 80? Um, but um. That’s not a guaranteed thing, and that also doesn’t guarantee authenticity of stuff, right? So a lot of the cables, you know, you buy off the internet can be, you know, and they might be, or even at stores, right? Like you’re, you’re not buying something from, even if you get things from Belkin or whoever, like, those things can have issues too. Um, although they at least tend to have better warranties. I bought a Balkan, um. Uh, like a, a, a PD cable, like a two 40 cable that I think it was like, you know, uh, 10 feet longer something. It was supposed to have some sort of long warranty and, and because the, the, you know, um, faster transfer ones, um, are, even though it was braided, you know, it stiff and it, it broke, like there was, uh, the, like the, you know, the connect with the part of the, the, the cable near the, the end, um, did that thing that typically apple cables do, where like, it, it sort of [00:18:00] fraying and you started like seeing the exposed wires and then like, you start to like, feel like, you know, like an electric charge, like Brett: A little tingle. Christina: you’re Yeah. And you’re like, okay, this isn’t good. Um, and so I at least had my Amazon receipt, so I was able to like. Get them to mail me a new one relatively easily. And like Anchor has an okay warranty too. But it’s one of those things you’re like, okay, when did I buy this? I was like, I didn’t even buy this a year ago, and this thing already crapped out. Um, versus, you know, you can get some really nice braided cables that are flexible, but they’re just gonna be 2.0 speeds. Um, and, and then if you buy, you know, you just buy like some random cable, you know, like at the airport or whatever. You’re like, all right, well, I don’t even know Brett: Great. Christina: anything about this. Uh, yeah, Brett: I have heard good things. I’ve heard good things about the company. Cable Matters. Christina: Yeah. Yeah. They make good stuff. They make good stuff. But again, at least the cables matters, cables that I have have been primarily stiffer cables because they tend to be like the, the higher transfer [00:19:00] speeds. So, um, like I have a cable, cable matters Thunderbolt cable, and I have like a USB four cable, I think. Um, but like, these are cables that like. I don’t, I mean, I, I have one that I, I kind of travel with, but I don’t, um, either keeping it as little cable matters, uh, uh, plastic, um. Like, so they come in like these, these case, uh, not these cases. Uh, they come in like these, uh, almost like Ziploc bag type of things. Um, which is a great way to ship cables honestly, you know, rather than using a box and, and like I, and I might toss one of those in a suitcase or a backpack, um, rather than having like the cable just out there loose. But I do that primarily because again, like they’re stiff and they’re not the sorts of things that I necessarily want, like in the bottom of my bag, you know, potentially getting broken and, and, and, and twisted and all of that. Um, they are overpriced for what they are and they are definitely not like, they’re not a high transfer cable, but if you can find ’em on sale, the beats, cables, the, the, the, the, the, the branded Beats cables, I actually like them better [00:20:00] than the apple cables that are the same thing, because they are, they’re longer, uh, by, you know, um, a, a few inches than, um, the, the Apple ones. But they’re still braided and they’re nice. And I was able to get, I dunno, this was a, this was not even Black Friday, but this was. Um, you know, sometime in like early November, I think, um, or maybe it was like late October. It might’ve been a Prime Day thing, I don’t know, but they were like eight or $9 a piece, and so I bought like five or six of them. Um, and they are, you know, uh, uh, PD and like, like, like fast charging peoples, they might not be 240, but I think they’re, they’re, they were like a hundred and you know, like 20 watts or whatever. But, um, you know, not high transfer speeds, but if you’re wanting to just quickly charge something and have it, you know, be a, a decent length and be like flexible. Those I don’t, those I don’t hate. Um, anchor makes pretty good cables. You green seems to be the company that’s sponsoring everyone now for various things. [00:21:00] But, um, I don’t know. I’ve started using MagSafe more and more, uh, like wireless charging when I can for some things, at least for phones, Brett: yeah. I actually have some U green wireless charging solutions that are really good. Christina: Yeah. Yeah. I just got one of their, uh, their 10,000 million pair battery fast charging battery things because now the MagSafe, uh, can be like up to, you know, 30 watts or whatever, or 25 watts or, or, or, or whatever it is. Like it’s, um, a lot more, um, usable than, you know, when it was like 10 or, or, or even 15. You’re like, okay, this, this is actually not going to be like the, the slowest, you know, charging thing known to man. But of course, obviously it’s like you can use it with your phone and with your AirPods, but the rest of the things out there don’t, don’t all support shi too, so, Brett: Right. Christina: yeah. Brett: All right. So, um, I want to talk about TV a little bit. Christina: Yeah. I think before we do that though, we should probably Brett: oh, we should, we [00:22:00] have two sponsors to fit in Jesus. I should get on that. Sponsor Break: Shopify Brett: Um, let’s start with, uh, let’s start with Shopify. This episode is brought to you by Shopify. Have you been dreaming of owning your own business? In addition to having something to sell, you’ll need a website, a payment system, a logo, a way to advertise to new customers, et cetera, et cetera. It can all be overwhelming and confusing, but that’s where today’s sponsor, Shopify comes in. Shopify is the commerce platform behind millions of businesses around the world, and 10% of all e-commerce in the us From household names like Mattel and Gym Shark to brands. Just getting started, get started with your own design studio with hundreds of ready to use templates. Shopify helps you build beautiful online store to match your brand style, accelerate your content creation. Shopify is packed with helpful AI tools that write product descriptions, page headlines, and even enhance your product photography.[00:23:00] Get the word out like you have a marketing team behind you. Easily create email and social media campaigns wherever your customers are scrolling or strolling. And best yet, Shopify is your commerce expert with world-class expertise and everything from managing inventory to international shipping, to processing returns and beyond. If you’re ready to sell, you’re ready for Shopify. Turn your big business idea into with Shopify on your side. Sign up for your $1 per month trial and start selling today@shopify.com slash Overtired. Go to shopify.com/ Overtired. That is shopify.com/ Overtired. Thanks Shopify. Christina: Thank you Shopify. Brett: It’ll be, it’ll be just tight as hell by the time people hear it. But that was rough. I, that, that, that, that read, you just heard I [00:24:00] edited like six places. ’cause I kept, I, I don’t know. I’m tired. I’ve been up since, I’ve been up since two today. Christina: Yeah. Shit, man. That’s, yeah, you again, like you’ve been having like sleep issues. It’s, it’s, Brett: Maybe, maybe I shouldn’t be doing sponsor reads. Christina: No, no, no, no, no. Uh, no. We definitely wanna talk about tv. Do you wanna do, do we wanna do our second, um, uh, uh, ad break Brett: let’s do a block. Let’s make it a Christina: Let’s do it. Block. Alright, fantastic. Sponsor Break: Copilot Money Christina: Alright, well, since we are about to go into 2026, this is a great time to, uh, think about your finances. So are you ready to take control of your finances? Well meet copilot money. This is the personal finance app that makes your money feel clear and calm with a beautiful design. Smart automation copilot money brings all of your spending, saving and investment accounts into one place. It’s available on iOS, Mac, iPad, and now on the web, which is really great, uh, because I know, uh, for me anyway, that’s one of my one kind of things [00:25:00] about some of these like tools like this is that there’s not a web app. I’m really bothered by it. This is, you know, it’s a frustration that like the Apple card, for a long time, you know, you couldn’t really access things on, on the web. Even now it’s still kind of messy, like being able to handle things on the web. But as we enter 2026, it is time for a fresh start. And so with the, uh, mint shutdown and rising financial uncertainty, consumers are seeking clarity and control. And this is where copilot money comes in. So copilot money can help you track your budgets, your savings goals, and your net worth seamlessly. Plus, with the the new, um, web launch, you can enjoy a sudden experience on any device, which is really good. And guess what? For a limited time, you can get 26% off your first year when you sign up through the web app. New Year’s only don’t miss out on the chance to start the new year with confidence. There are features like automatic subscription tracking, so you’ll never miss upcoming charges again. Copilot money’s privacy first approach ensures that your data is secure and their team is dedicated to helping you stress less [00:26:00] about money. So whether you’re a finance pro or just starting out, copilot money is there to help you make better decisions. Visit, try dot copilot money slash Overtired and use the code Overtired to sign up for your one month free trial and embrace financial clarity. That’s try.copilot.money/ Overtired. Use the coupon Overtired. And again, that is 26% off for your first year. So thank you copilot money for, uh, sponsoring this week’s, uh, uh, episode. Oh, one other note about copilot money. They were, um, an apple, uh, design award finalist. So it’s a really well designed app and, um, we love to see, um, apps like this available on, on the web as well as iOS and, and MAC os. Brett: I have started using it very much because of the web version, and it is, it is really good. Christina: yeah, yeah. No, yeah. For, yeah, for me, that is like a, an actual like. Concrete requirement. Exploring Rocket Money and Web Interfaces Christina: Any money Brett: Like I’ve, I’ve [00:27:00] paid, I have about eight months left. I paid for a year of, of Rocket Money or whatever it’s called now. Um, and I’ve always loved that app, but yeah, it does not have a web interface. And once I started trying copilot out, I realized how much I really did want a web interface for that stuff, you know? What else have you seen? Discovering Umami Analytics Brett: Umami the analytics platform. Christina: Yes. Brett: It is so good. And it’s, it’s open source and you can self-host. And it is like, I, I’ve been using Fathom Analytics for a long time and I like Fathom, but Umami is, it has like all of the, uh, advanced stuff you would get with Google Analytics, but with like way more privacy focus and you’re not giving information to Google for one. Um, and the interface is beautiful. I love that. It’s so good. Christina: Yeah. Um, umami is really good. I think, uh, there’s another one, I’m [00:28:00] trying to think of what it was called. There are a number of these various, um, analytics, uh, hosted things, but no, umami is definitely a really good one. Nostalgia for Mint and Fever Christina: And I like, um, it reminds me, um, it was, what was it? It was Mint. It was Mint, Sean Edmond’s Mint. Which Brett: I was just gonna ask you if you remembered that. Christina: yeah, which was, which was one of the, uh, plausible analytics. It’s another one too. Um, which is also like, um, they, they have a hosted version, but you can also self-host. Um, and then that’s also a, a, a, another, uh, good one. But yeah. Um, was like my, my all time favorites, uh, you know, app. I, I, I loved that. Brett: Um, what was his RSS one? Uh, fever? Fever. Christina: was, was the best fever, was the best. The Decline of RSS and Google Reader Christina: And it was funny, like I, I think I’ve talked about this before, I was more insulated and like less upset than some people by the, the Google reader death because I had a, a, I’d been using Fever for so long, and then obviously, you know, stuff being updated and doesn’t really work [00:29:00] super well with like, the latest versions of PHP and things like that. But, you know, a lot of people were really, understandably and, and still more than a decade on, you know, very upset by the death of, um, Google reader. But I think because I, I had paid for and used, you know, my own, um, self-hosted fever installation, and then there were apps that people used for, you know, APIs and whatnot to build, you know, Macs or iOS apps or, or whatever. Like, I, I was obviously upset about Google Reader being shut down, but I was like, okay, you know, I, I can just, you know, move on to something else. And, um, and I’ve used, uh, feeder, um, not, not, not feeder, um, Brett: Reader Christina: is. No, no. Maybe, uh, it’s, uh, not Feed Demon. Um, that was like the OG one. Um, it’ll come to me, um, because I, I, yes. Thank you. Feed Ben. Thank you, thank you. One of the ones that’s still around, uh, from like the, of the, you know, various Google reader alternatives, like many of them. You know, closed up shop.[00:30:00] Brett: Yeah. Christina: if they kind of realized, you know, by Google reader, like this is the, unfortunately a niche market. Um, now that didn’t help the fact that like, you know, when people, when web browsers Safari, I think started at first and then Firefox did, and then, you know, uh, Chrome was, was fairly early too. Like when all the web browsers took away like RSS buttons to make it easy to subscribe to feeds or to auto discover feeds, and you had to like install like a, an extension or whatever to do that. Like, that all helped with the, the demise of RSS in a lot of ways. And of course, people moving everything into closed platforms and, and social networks and stuff that, you Brett: In, in the tech world though. So I have, my blog gets about 20,000 visits a week, but it gets 30,000 RSS downloads, like, uh, like daily, 30,000 readers are, are, are pulling my site. Um, so RSS is far from dead in the tech world. Christina: Right. Well, [00:31:00] well, I think, I think in a certain demographic, right? I think if you were to ask like a new, like college grads, I don’t think that any of them are using RSS at least not actively, right? Like, I mean, you might have a few, but like it’s, it’s just not gonna be like a thing where they’re gonna be, act like they might be using some apps that do similar types of things and might even pull in feed sources maybe. But it, it’s, it’s just not like a, like when, when I was graduating from college or in college, like everybody had, you know, RSS clients and that was just kind of a, a known thing. Brett: Yeah. So speaking of traffic, um, I don’t, did I mention that I got delisted on Bing and Christina: You did, Brett: I am, I’m back Christina: figure that out? You’re back now. Okay. Brett: I’m back now. Switching to Kagi Search Engine Brett: And, um, I have switched to using Kaji, um, as my primary search engine and they replicate all of duck duck go’s bang searches. Christina: Yes. Brett: So I Christina: one of the things I love about them. [00:32:00] Yes. Brett: I was pleased to see there’s a Bang Turp search on Kaji. Um, I actually use Christina: or is it kgi? Because I think I’ve always called it kgi. Yeah, it’s KA, it’s K, it’s KAGI. For anybody who’s who’s, uh, I don’t know how to, how, how, if it’s kgi, kgi, um, uh, you know, Kaji, whatever, Brett: It’ll be in the show notes. What the fuck ever, we’ll just call it KGI. Um, and yeah, so like I was super happy ’cause I used the Bang Turp to search my own site. I just got used to doing that. The Rise of AI-Generated Content Brett: Um, and, but it is like you can, the reason I switched to said web, uh, search engine is um, because you can report sites that are just AI slop and they will verify those reports and remove or flag slop sites in your search results. ’cause I was getting sick, even with DuckDuckGo, like five out [00:33:00] of 10 results were always, I’d get in, I’d get there, I’d get one, maybe two paragraphs into, uh, an article and realize, oh, someone just typed in my search term into chat GPT and then Christina: Oh yeah. Brett: automated it. Christina: Oh, I was gonna say there, there it is. Automated at this point. And, and like, to be clear, like a lot of search results, even before like the rise of like genre of AI were a variant of this, where you would see like people like buying older domain names that expired. Well, yeah, but even before that happened mean that, that obviously when, when, when the Christina Warren and Brett Terpstra and then they, they changed your name. Um, I Brett: know, like Jason Turra or Christina: Or something like that. Yeah, it was, it was, it was, it was weird. Um, I mean, you know, um, does that site, did, did have they given up the ghost on that? I’m curious. Um, yeah. Wow. Okay. They are still, well, no, they haven’t published anything since November 30th. So something has happened where they, uh, are [00:34:00] they, they’re definitely cutting down on, on various things. Um, oh no. Paul Terpstra. Oh my God. Paul Terpstra. You are still, Brett: Yeah. Christina: you were like the one author there that I see on this website. Um, now what was, what was messed up about, about this? Um, although no. Okay. Their homepage, the last one they say is like, OCT is like, uh, November, um, uh, 30th. But if you click on the, the Paul trips to handle, then like you see, um, December 22nd, uh, which is, which is today as we’re recording this, Brett: Wow, I didn’t even realize. Christina: Yeah. So, alright. So that is still, somehow that grift is still going on. But yeah, I mean, even before the rise of those things, you would see, you know, sites that would either buy up dead domains and then like, have like very similar looking content, but slightly different maybe, you know, like, uh, you know, injected with a bunch of, you know. Links or whatever, or you would see people who would, you know, do very clearly SEO written and, and probably, you know, [00:35:00] like, again, pre generative ai, but, you know, assisted slop content. But yeah, now it’s, it’s just, it’s crazy. Like, and it doesn’t help that, like the AI summaries, which can be useful, but, um, and they’re getting better, which is good only because they’re so prominent. Like, I’m not a fan of them. But if you’re not using an alternative search engine, like, you know, you see these AI summaries and like if they’re bad and sometimes they are then. Brett: Often Christina: You know, well, they’re, they’ve gotten better, uh, is the only thing I would say. I, I still wouldn’t rely on them, but I’ve, I’ve noticed a, like, I’ve noticed a, a genuine, like uptick in like, improvements and in like, how awful they are probably in like the last six weeks, which is damning with faint praise. I’m not at all saying it’s good. I am simply saying, it’s like, I’m primarily thinking for like, people who are like, like less tech savvy relatives who are going to just go to, you know, bing.com or, or google.com and then see those sorts of things. Right. Um, and, uh, you know, we’re not gonna be able to convince them to go to a, a, a third [00:36:00] party search engine. Um, although, you know, some people, like, I think my mom was using Duck to Go for a while as like her default on her iPhone, um, which I was, I was like proud of her about, but I was also kind of like, uh, that’s got its own issues. But no, I, I like ka a lot. Um, I, I’ve Brett: Well, and it’s so keyboard driven, like DuckDuckGo has good keyboard shortcuts. KAGY slash Kaji has even better keyboard shortcuts. Like you can navigate and control everything with, uh, like Gmail style, single key keyboard shortcuts, which I really like. Christina: Yeah. Yeah, I like that too. And then they, they, of course, they make like a, a web kit, um, like a browser, um, that, that has, they’ve back ported, um, you know, a lot of chrome extensions too. I personally don’t see the point in that. Um, I, I think that if you’re going to be like that committed to, like, using like the, you know, the web extension format and like using like more popular extensions, you might as well [00:37:00] just use a Chrome fork if you don’t wanna use Chrome, which is fine, but like, you could use a browser like Helium, which, which we talked about last show, which has, um, the, the, the hash bangs kind of integrated in, or you could use, you know, if you wanted to use, um, um, you know, the, the, the, the Brett: o is Orion, is Orion the one you’re talking about that? Yeah. Christina: that, that, yeah, that, that, that, that, that, that’s Katy’s thing. And that was actually originally how I heard about them was because it was like, oh, this is interesting. Um, you know, this is a kind of an interesting, you know, kind of alternative browser. And then it turned out that that was just kind of a, in some ways, kind of a front to promote the, the search engine, which is the real, you know, thing. Um, which is fine, right? I mean, that, that was Google’s model. Um, Brett: Well, and we should mention for anyone who hasn’t tried it, it is a paid service. Um, and you are getting search results with no ads and, and spam, uh, ai, slot protection and all of the benefits you would expect from a paid service. So [00:38:00] I think, like for me, five bucks a month gets me, I think 300 searches, which is. Plenty for me, like, I guess I, I’m still waiting to see, I’ve never counted how many searches I do a month, Christina: Yeah, Brett: you know, like three searches a day, uh, would come out to like 90 searches a month and I have 300 available, so I think I’ll be fine. Christina: yeah, yeah. I mean, yeah, basically being able to get to do 10 a day, which in most cases is fine. What I’ve done is I’m on, like, they have a, a, a family plan, um, and they don’t care. They even, I think in their documentation, or at least they did, they do not care if you are like actually in a family with the people that you are on or not. So if you, you know, find some folks that you wanna kind of sync up with, you can like, you know, be on a family plan together and you can save money, um, on, uh, whatever their, uh, um, their pricing [00:39:00] stuff is. So, um, so me, me and Justin Williams are, uh, in a, uh, Brett: Justin Williams, I haven’t heard that name in forever. Christina: Yeah. Yeah. We went to C Oasis together. We went both nights in Los Angeles, um, in August. Yeah. Um, or September rather. Um, yeah, so, okay, so this is how this works. They have, their starter plan is, is $5 a month, which includes, and they do have an AI assistant too. So it was funny, they had the AI slot protection, but they also have like an AI assistant that you can use and like an AI summarizer and whatnot. Um, that’s $5 a month. And then there’s the professional plan, which is, so that’s for 300 searches a month for the standard AI for starter $5 a month. The professional plan is unlimited searches and standard ai, that’s $10 a month. And then the ultimate is, um. Uh, everything in professional plus you get like premium model access, which, okay, but the family plan, um, is, is the, so you can do one of two things. You have a duo [00:40:00] plan, which is two professional accounts for a couple, which is $14 a month plus sales tax. So it’s, uh, you know, average of $7 per person, which I think is what Justin and I are on. And then there’s a family plan with up to six family members. And again, they don’t care if you are actually in a family or not, and that’s $20 a month. So the real thing to do if you’re wanting to like, you know, save on this is like find five friends, Brett: Yeah. Christina: get on the $20 a month, you know, family plan thing. Spread the, spread the cost, and that way you can get the, you know, professional plan for, for, for less. But to your Brett: All right. Christina: most people, it’s probably $300, 300 searches a month is probably plenty. And if you search a lot like we do, I, I think it is worth paying for. Brett: yeah, yeah. All right. TV Shows: Is TV Just Okay Now? Christina: anyway, but we wanted to talk about tv, so let’s Brett: Well do, we’re, we’re at 50 minutes already, so I think we need to choose whether we do TV or gratitude. What Christina: do you have a [00:41:00] gude, like a good one? Brett: I, I, no, I have a, I have a throwaway one. Christina: Okay. Brett: I, it was one of those, like, I looked at my doc and I was like, oh, I don’t think I’ve talked about that even though I probably have, um, yeah, let’s just talk about tv. So I, I have been noting, and my question in the show notes was, is TV just okay now? Because I’ve been watching, I watched Stranger Things, pluribus Down, cemetery Road, platonic, and all of it was, it was entertaining, but it wasn’t like, must watch tv. None of it was like, none of it was as good as like Modern Family. Modern Family was fucking good. Tv, like family friendly and just like I’ve, I’ve been through that series so many times and it’s always fun and it’s always better than like pluribus. I like the, I like the concept kind of, it’s not. not all that, um, engaging, I guess.[00:42:00] Christina: I like it. But, Brett: Yeah. I don’t hate it like I do, I do like it, but it’s not like, I don’t, I don’t count the days until the next episode comes out and I miss, I miss things being really good. So you had a couple responses to that though. Christina: Well, I mean, I tend to agree with you. So first of all, there, I put in the, in the show notes, um, there’s a link to a thing that, uh, that James and Pozak wrote for the, the New York Times, uh, God a year and a half ago now called, um, the Comfortable Problem of Mid tv. And he said it, it, it’s got a great cast, it looks cinematic, it’s, um, fine and is everywhere. And kind of talking about like, you know, we went from like the era of like peak TV to now being, um. You know what, what he’s dubbed like mid tv and I think that there’s, there’s some truth to that. Um, and, and, and he even says at the beginning, let me say up front, this is not an essay about how bad TV is today, just the opposite. There’s, um, little truly bad high profile television made anymore, um, is it’s more talking about, um, like [00:43:00] what we have instead Today is something less awful, but in a way more sad, the willingness to retreat, to settle to trade, the ambitious for the defendable. And I think that there’s some truth to that. Um, I think that we see this movies now too, and with movies it’s actually much more of a problem. Like there’s some really high highs. Um, but because the movie industry is in such a bad place, um, it, it’s that much more notable when like, you don’t have like a big strong slate of, of things. And so, you know, it, it, it’s more of a problem. TV for, for better or worse, has become the dominant entertainment form. And yeah, I think that it, it, it’s fine. Uh, but there are very few things that I’m like, oh, wow, yeah, that, that’s like, you know, the wire. Um, not that anything is, but you know what I mean? But is, but even like, you know, pluribus, which I really like. I actually think that’s, um, my, my favorite show of, of, um, 2025, um, at least new show. Um, well, maybe the studio. The studio. I might have, I, I, I might put, Brett: That was pretty Christina: above that. But, but, but, but [00:44:00] like, it’s one of those things where I’m like, okay, you know, um, it’s not breaking bad, right? Like, if we’re gonna be comparing Vince Gilligan shows, and maybe that’s unfair, but, you know, it just, but, but still, like, you know, you’re gonna be compared to your last hit. And, and, and, and that is what it is. Um, I will say though, like, I haven’t watched Stranger Things in years, and I don’t, I don’t, I don’t think I can force myself to like, care about that again, but I’ve heard kind of mixed Brett: That’s where L is too, L doesn’t care. And, and then there’s the whole like two cast members being Zionists kind of turned a whole bunch of people off and Christina: Well, and well, David Harbor, David Harbor’s whole Lily Allen thing. Are you, are you, are you familiar with this floor at all? Brett: No. Christina: Okay. You know who Lily Allen is? Brett: Yes. Christina: Okay. So she and David Harbor were married and, um, she wrote an album called, uh, uh, west End Girl that, that came out, uh, like in November, which is actually a really good album, [00:45:00] which is like White Girl Lemonade, where she just basically reads him to filth for being an absolute piece of shit. Like, apparently like, you know, they were together, they were married or whatever. She goes off to London to perform in a play and he’s like. Oh, we’re gonna be away for months. I, I wanna sleep with other people. And so they kind of like, she kind of accepts getting into an open relationship with him, even though she didn’t really want to be, which look that her, that’s her bad, whatever. But then he proceeds to like, do things that was not what they’d agreed upon on, upon the parameters of their, of their relationship. And then she’s just like brutally honest about the entire thing. And so as you’re listening to this album, you’re just learning more and more about like, David Harbor’s like sex life and, um, and stuff. And, and like, it’s just on blast. It’s incredible. Um, but, uh, yeah, so there’s, there’s some of that stuff. There’s, I, I don’t know, like I don’t, I don’t really follow the rest of the cast stuff except that, uh, the girl who plays, um, 11 like. Frequently want to smack because just the most annoying [00:46:00] celebrity in on the planet. But like, putting that aside, um, I just, I stopped caring. It took them too long between seasons and the, and, and, and the budget for that show was also so insane. I’m like, you, you cost more than strain than thinking of Thrones. Game of Thrones is, was even at its worst, was a better show than Stranger Things. So like it, yeah. But but that goes to your point. Like, it’s like, it’s okay. Brett: Yeah. Yeah, Christina: Um, I will say the new season of Fallout just, um, premiered and so far I I’m still really enjoying that. Um, Brett: yet to see it. Christina: you should, you should definitely watch the Brett: What is it on? Christina: uh, Amazon Brett: Okay. Christina: and, uh, and it’s, and it’s really, really good. Um. And this year they are doing the episodic, um, not episodic, the weekly drop, right. Rather than the binge thing. So the first season, uh, they dropped it all at once and um, and I was a little bit worried. I was like, fuck, does that mean they don’t [00:47:00] believe in this? What are they going to do? Wound up being like Amazon’s biggest hit after their Lord of the Rings, um, you know, thing. And so it was immediately kind of picked up for a second season and it was picked up for a third season before the second season even, uh, premiered. Um, and uh, and that might be the final one. Um, they’re saying, but, but, but, but who knows? But, but so far anyway, like they’ve only, there’s only been one episode, but it’s, it’s been good so far. The Cultural Phenomenon of Heated Rivalry Christina: Um, but, but what I was gonna talk to you about is the gay hockey show. Brett: Which is. Christina: It’s called Heated rivalry. It’s on HBO Max. It was originally just supposed to be on, uh, a Canadian streamer called Crave. And um, then at the, like, the, the like 11th hour, HBO Max picked it up and was like, okay, we’ll play this in, um, some of our territories and other things. And I wanna be very clear, this is not high art at all. This is like, no way. Like this actually in some ways it, it personifies [00:48:00] the TV is just okay now thing, but in other ways it’s actually a little bit more interesting just because the cultural phenomenon that has happened around it in like the last, like, like it hasn’t even been out a month and it’s only six episodes, although they are also going to be getting a second season. Um, it’s sort of wild how, like I went from, I’d seen a trailer for it and I was like, okay, whatever. And like it came out, I think like right after Thanksgiving. Then like within like two or three weeks, like literally I wasn’t following anything around it, but my Instagram, my TikTok, Twitter, everything that I was seeing was just all about the discourse around the show. And it’s like a bunch of us all seem to have to have discovered it. Like one weekend where we were like, okay, we’re gonna actually sit down and watch the gay hockey show. Um, and this is exactly what it is. It is a gay hockey show. So it is based on, there was a series of books that this, uh, female, uh, writer Rachel Reed wrote, um, uh, about like, uh, I think like they were like eBooks, types of thing. Um, uh, I think although there, there is now I [00:49:00] think like a, a hard cover release because they’ve been so popular and they’re just, it’s just ero, it’s just smut, right? It’s basically fanfic dressed up in something else. And the idea was like, okay, you have like these, you know, male like hockey players who are closeted and kind of have like this, this romance that, that starts from like 2008, um, through like, I dunno, like, like 2017 or 2018. And there are a number of different. Books or stories in the universe. But the one that people liked the most was the, the second book, which is called Heed Rivalry. You don’t really need to know any about that. The big thing about the show is that it is essentially like soft core gay porn. Um, but yet it’s like weirdly compelling in a way. Like, it, it is very, like, there’s, there’s some sweet aspects to it. Like you were before the, the show, you were saying, oh, it’s kinda like Heart Stopper could not be further from Heart Stopper. ’cause Heart Stopper is very sweet and twee and kind of like loving and like whatnot. This is like. You know, like guys in their twenties with amazing asses, [00:50:00] you know, like doing things to one another kind of an in secret. And, and the, the thing is, there’s not a whole lot of plot. Like the plot is the porn. Because, because the whole thing is, is that like they don’t spend, they don’t have a time to spend a lot of time together because they’re, they’re closeted and their rivals. Oh, that’s the whole conceit. It’s like they’re these two great hockey players and they, they, they, um, you know, um, play for opposing teams and they’re like, each other’s biggest rivals, but like, they’re, they’re fucking, um, and uh, it, it’s, uh, again, it’s not high art at all, but Brett: the target audience for this? Christina: And here’s the interesting thing. So the books are almost entirely read by women, um, and which, which makes sense. There’s, there’s a lot of like, you know, like, male, male, like, um, like the history of slash fiction goes back to like, like Fanfic in general, like goes back to like women writing, like Spock and, and, uh, um, what’s the space together? Kirk Together. Yeah. Um, and so the books are almost entirely, uh, consumed by, by women and probably straight women, although probably some queer women too. Um, but the [00:51:00] show seems to be a mix of gay men, straight women, all, although I’ve seen a lot of lesbians. As well. Um, yeah, yeah, because again, like the discourse is just kind of ridiculous and, and the memes are fun. Um, the guy who created it, he’s gay or created the, the, the television adaptation. He’s gay and, uh, I think he’s done a, a, a pretty good job with it. The, the leads are the thing that’s like incredible, like the, especially the guy who plays the, the Russian character, Ilya, uh, that actor is really, really good and he’s Texan, and yet he does like a great Russian accent and, um. And, and he’s very attractive. And like I, I, I can see like why a lot of people are into it, but it’s funny ’cause like New York Magazine, like they weren’t even covering the show, which, why would you, it was like some Canadian kind of, you know, you know, thing that barely gets picked by HBO. Then it takes off and now like they’re covering it. The, the last time I remember New York Magazine covering a show like this, like Vociferously was Gossip Girl, like 18 years ago. Um, [00:52:00] and it kind of reminds me of that, where like everybody woke up one day when they’re like, oh, this is like a cultural moment now. So again, not good television, probably not gonna necessarily be for everyone, but, but it’s a moment. And like, I kept seeing edits, I kept seeing Mo, I kept seeing edits on TikTok and stuff and I was like, okay, do I have to watch the gay hockey show? All right, I have to watch the gay hockey show so that it’s, we might be at the point where like TV is just okay, but at least there are some good like moments about, whereas the culture, we can all like agree. Okay, we’re all gonna be talking about this one thing. Brett: That sounds like what I’ll be doing on Christmas Day. Christina: Oh my God. Actually that would be a great thing to watch on Christmas. And I think that the final episode is gonna come out like the day after Christmas, so there you go. Brett: Done Deal. Cool. Wrapping Up and Holiday Wishes Brett: All right, well thanks for, we’re recording this the same morning. The show’s supposed to come out, so I gotta do some editing, but uh, but [00:53:00] thanks for showing up while you’re in Atlanta and yeah, this has been a classic, a fun classic Overtired. Christina: absolutely. Well, um, get some sleep, uh, take care of yourself. Um, happy holidays. Um, uh, hope that a, a Christmas isn’t too weird for you. And, um, and happy New Year. Brett: you too. Get some sleep.

Back by popular demand, Joanna Robinson welcomes Mallory Rubin onto the pod to discuss Episode 5 of Canadian hockey romance ‘Heated Rivalry.' (00:00) Intro(5:30) Mal's 'Heated Rivalry' journey(30:10) Rose's introduction and her use in the plot(36:52) Mal's take as a sports super-fan(53:00) The All-Star Game(56:00) Ilya's phone call to home(1:03:00) Hopes and predictions for the finale Email us! prestigetv@spotify.com Subscribe to the Ringer TV YouTube channel here for full episodes of The Prestige TV Podcast and so much more! Hosts: Joanna Robinson and Mallory RubinProducer: Devon BaroldiAdditional Production Support: Justin Sayles Learn more about your ad choices. Visit podcastchoices.com/adchoices

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

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures](http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.