Podcasts about Luck

Get AudioBooks for Free Best Self-improvement Motivation Luck | Oprah Winfrey's Powerful Lessons on Success Discover Oprah Winfrey's inspiring perspective on luck, hard work, preparation, and opportunity. Learn how success is truly created. ⁠We Need Your Love & Support ❤️ ⁠⁠⁠⁠⁠⁠⁠⁠⁠Get 3 Audiobooks Free -

In today's episode, we're talking bad luck, and the worst luck we've all ever experienced in our lives, and also hearing from YOU with your own experiences.LINKS:Follow us @lukeandsassyscott on ⁠⁠⁠⁠⁠⁠⁠⁠Tiktok⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠Get involved in the podcast by sending in your voice notes to ⁠⁠⁠⁠⁠⁠⁠@lukeandsassyscottpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on InstagramCREDITS:Hosts: Luke O'Halloran and Scott O'HalloranProduction: ⁠⁠⁠⁠⁠⁠⁠Earsay⁠⁠⁠⁠⁠⁠⁠Producer: Mike Liberale (Podcast Mike Media)Manager & Sales: Profile Talent

OR slower aging? OR more athleticism? Let's discuss our options in this delightful hypothetical.

For seven seasons Patrick J. Adams has charmed audiences worldwide, as Mike Ross in USA's hit drama, "Suits," a role which garnered him a Screen Actors Guild Award nomination in the category of Outstanding Performance by a Male Actor in a Drama Series. Adams took on the role of Major John Glenn in the Nat Geo/Disney + original series, "The Right Stuff." With Zoe Saldana & Jason Isaacs, Adams starred in the 2014 television miniseries "Rosemary's Baby" directed by Agnieska Holland. Additional television credits include Michael Mann and David Milch's acclaimed series "Luck" opposite Dustin Hoffman and Michael Gambon, season two of the hit series "Orphan Black" opposite Tatiana Maslany, "Lost," "Friday Night Lights," "Pretty Little Liars," "N.C.I.S.," "Lie To Me" and "Flash Forward." Additionally, Adams starred in indie films such as, "The Waterhole," 2009 Slamdance entry "Weather Girl," "6 Month Rule" directed by Blayne Weaver and "Car Dogs" opposite Academy Award winning actress Octavia Spencer. He is a member of the Ojai Playwrights Conference, starring in new works by established and developing playwrights. Credits: Suits Plan B The Swearing Jar A League of Their Own Sneaky Pete The Right Stuff Rosemary's Baby Luck Pretty Little Liars Flashforward Friday Night Lights Old School Guest Links: IMDB: Patrick Adams, actor Instagram: @halfadams Kim Gillingham Creative Dream Work: creativedreamwork.com THAT ONE AUDITION'S LINKS: For exclusive content surrounding this and all podcast episodes, sign up for our amazing newsletter at AlyshiaOchse.com. And don't forget to snap and post a photo while listening to the show and tag me: @alyshiaochse & @thatoneaudition SELF TAPE SORTED WORKSHOP: LONDON - June 20th (in person) THE BRIDGE FOR ACTORS: Become a WORKING ACTOR (50% off special) THE PRACTICE TRACK: Membership to Practice Weekly CONSULTING: Get 1-on-1 advice for your acting career from Alyshia Ochse COACHING: Get personalized coaching from Alyshia on your next audition or role INSTAGRAM: @alyshiaochse INSTAGRAM: @thatoneaudition WEBSITE: AlyshiaOchse.com APPLE PODCASTS: Subscribe to That One Audition on Apple Podcasts SPOTIFY: Subscribe to That One Audition on Spotify STITCHER: Subscribe to That One Audition on Stitcher EPISODE CREDITS: HOST/PRODUCER: Alyshia Ochse WRITER: Maddie McCormick WEBSITE & GRAPHICS: Chase Jennings SOCIAL: Alara Cerikcioglu

Founders are told that if they work hard, build the right product and hire well, the outcome will follow. It's motivating. It's clean. And according to today's guest, it's mostly wrong.Mike Grossman has been CEO of six venture-backed Silicon Valley companies. Across them, he tried 18 different business models. Twelve failed. Five required layoffs. Three lived in persistent existential crisis. And yet all six were eventually acquired. Mike's story is one that far more founders actually live, but almost nobody tells.In this episode, Yaniv Bernstein sits down with Mike to dig into his new book, Failure Is An Option: a candid 44-essay collection drawn from three decades in the trenches. They explore the uncomfortable truth that luck dominates outcomes more than skill, why your business model is not your business, and how radical honesty is the most underrated leadership tool in a founder's kit.In this episode, you will:Learn about 'resulting': why confusing luck for skill costs founders in both directionsHear how Mike pivoted Tempo from building a Visa/Mastercard competitor to partnering with Mastercard, only to have the entire model wiped out overnight by a Senate amendmentDiscover the 'dreamers vs soldiers' framework for building teams that hold together when adversity strikesHear Mike's hard-won playbook for layoffs: why founders almost always cut too little, too late; what day two feels like; and why a smaller, denser team is often more productiveGet a clear framework for staying accountable for the process when the outcomes aren't in your controlTimestamps:00:00 Coming Up...00:34 On Today's Show: Mike Grossman on Managing Failure02:02 The Role of Luck and Timing03:41 Poker Strategy and 'Resulting'08:55 "The Business Model Is Not The Business"11:27 Tempo's Pivot13:28 Why Values Matter In A Crisis19:21 Talent Density and Layoffs: Cut Once, Cut Deep28:15 How AI Changes Hiring Pace32:15 Leading with 'Radical Honesty'36:33 Dreamers vs. Soldiers38:02 Managing Investors41:43 Luck, Agency, Process48:39 About 'Failure Is An Option'51:29 Closing ThoughtsResources mentioned'Failure Is An Option' by Mike Grossman: https://www.failureisanoption.comMike Grossman's Substack: https://failureisanoption.substack.comThinking in Bets by Annie Duke (the 'resulting' concept discussed): https://www.amazon.com/Thinking-Bets-Making-Smarter-Decisions/dp/0735216355'Incorruptible' by Eric Ries: https://www.incorruptible.co/Eric Ries's TSP episode: https://youtu.be/HQ7cP1lGyiM 'Powerful' by Patty McCord: https://www.amazon.com/Powerful-Building-Culture-Freedom-Responsibility/dp/1939714095Patty McCord's TSP episode: https://www.youtube.com/watch?v=BefnNLBEmXAThe Durbin Amendment (the legislation that killed Tempo): https://en.wikipedia.org/wiki/Durbin_amendmentThe PactHonor the Startup Podcast Pact! If you have listened to TSP and gotten value from it, please:Follow, rate, and review us in your listening appSecure your official TSP merchandise at https://shop.tsp.show/Follow us here on YouTube for full-video episodes: https://www.youtube.com/@startup-podcastGive us a public shout-out on LinkedIn or anywhere you have a social media followingKey linksThis episode of the Startup Podcast is sponsored by .tech domains. Forget weird prefixes and creative misspellings; the availability for .tech domains is simply way better than .com. For a clean name that highlights your tech credentials, get a .tech domain at your favorite registrar.The Startup Podcast website: https://www.tsp.show/episodes/Learn more about Chris and YanivWork 1:1 with Chris: http://chrissaad.com/advisory/Follow Chris on Linkedin: https://www.linkedin.com/in/chrissaad/Follow Yaniv on Linkedin: https://www.linkedin.com/in/ybernstein/Producer: Justin McArthur https://www.linkedin.com/in/justin-mcarthurAssistant Producer: Steph Hefferan https://www.linkedin.com/in/steph-heff/Intro Voice: Jeremiah Owyang https://web-strategist.com/

The Federal Budget sparked plenty of debate among investors, but what do the proposed tax changes actually mean in practice? Bryce and Ren sit down with Everest Wealth co-founder Alex Luck to work through real-world case studies covering ETFs, capital gains tax, property investing, negative gearing and retirement planning. The conclusion may surprise some investors: while the rules may change, the fundamentals of long-term investing remain remarkably resilient.In this episode:00:00 Budget Investing Changes01:29 ETF Tax Case Studies04:04 Tax Winners and Losers07:26 Why Growth Still Wins11:35 Property vs Shares15:20 Negative Gearing Impact17:08 New Leverage Strategies19:33 Will Investors Leave Property?23:23 Dividend vs Growth Investing25:35 Retirement and FIRE Changes30:16 Final Investing TakeawaysStocks & ETFs mentioned: Vanguard Diversified High Growth ETF (ASX: VDHG), Vanguard Australian Shares High Yield ETF (ASX: VHY), iShares S&P 500 ETF (ASX: IVV), Betashares Nasdaq 100 ETF (ASX: NDQ)You can find Alex's case studies here: https://x40s1z0ymjt.typeform.com/to/XcqV93pFIf you would like to speak to Alex or any of his team head to equitymates.com/advice and we will put you in touch.To check out LendUs head to https://www.lendus.com.au/equitymates———Want to get involved in the podcast? Record a voice note or send us a messageAnd come and join the conversation in the Equity Mates Facebook Discussion Group.———Want more Equity Mates? Across books, podcasts, video and email, however you want to learn about investing – we've got you covered.Keep up with the news moving markets with our daily newsletter and podcast (Apple | Spotify)We're particularly excited to share our latest show: Basis PointsListen to the podcast (Apple | Spotify)Watch on YouTubeRead the monthly email———Looking for some of our favourite research tools?Download our free Basics of ETF handbookOr our free 4-step stock checklistFind company information on TIKRResearch reports from Good ResearchTrack your portfolio with Sharesight———This podcast is intended for education and entertainment purposes only. Any advice is general advice and has not taken into account your personal financial circumstances. Before acting on general advice, you should consider if it is relevant to your needs. If unsure, speak to a financial professional. The host of this podcast and their guests may have positions in the companies mentioned. Equity Mates Media is part of the Betashares Group but maintains editorial independence and operates under Australian Financial Services licence 540697. Hosted on Acast. See acast.com/privacy for more information.

Order my new book - The Price of Becoming www.LearningLeader.com/Becoming The Learning Leader Show with Ryan Hawk This is brought to you by Insight Global. If you need to hire one person, hire a team of people, or transform your business through Talent or Technical Services, Insight Global's team of 30,000 people around the world has the hustle and grit to deliver. My Guest - Tina Seelig has spent 27 years at Stanford teaching some of the world's most ambitious people how to see and seize opportunities. She's a neuroscientist, the executive director of Knight Hennessy Scholars, and the author of 18 books. Her TED Talk on luck has been viewed over 3.4 million times. Her newest book is called What I Wish I Knew About Luck: A Crash Course on Turning Aspirations into Achievements. Key Learnings Tina's dad died at 99 and a half. Three weeks before his first great-grandbaby was born. He was still driving, going to three dinner parties a week, and talking to Tina every day. His curiosity was his superpower. He gave 66 lectures in his retirement community over 20 years, on topics ranging from nuclear weapons to climate change. Train yourself to be a professional noticer. When Tina's dad walked his grandkids into a new room, he'd give them a minute, then say "Shut your eyes." How many doors? Windows? What color is the carpet? Assume there's a million dollars in every room. It's up to you to find it. Opportunities are ubiquitous. You just have to look. Take the headphones off. The most powerful things happen when you engage with strangers. Standing in line. On the plane. Walking through campus. Tina sat next to a stranger named Mark on a plane. He was a publisher. He said no to her book proposal. She kept the relationship going. Years later, his editor approved the same proposal she had given Mark. Within two weeks, she had a contract. Wear something that invites conversation. A logo. A backpack from a conference. A college baseball shirt. Give the world a hook to start with you. Fortune is what happens to you. Luck requires action. Most people confuse the two and miss the chance to claim their agency. "With my luck, it's gonna rain." Reframe it: "With OUR luck, it's gonna be a beautiful sunny day." The reframe changes what you see.  Luck seldom sails solo. Most luck comes through other people. Cultivating meaningful relationships is the most underrated lucky behavior. You don't get a job. You get the keys to the building. The visible work isn't what gets you ahead. The invisible work is. Between stimulus and response is a choice. (Viktor Frankl) Within the constraints of fortune, agency is everything. "Tina, you think like a scientist." One sentence from a professor changed Tina's life. Leaders, know the weight of your words. Twenty years later, Tina wrote that professor a thank-you note. Twenty years after that, his granddaughter wrote back. They had read part of Tina's letter at his funeral. When a student made a bad decision, Tina's first instinct was to punish. She paused. Said, "Help me understand what happened." The whole community learned what empathy and humility look like in leadership. Unresolved conflict sucks the energy out of your day. Resolve it. You become taller, lighter, more open to lucky things. Oliver Greenwald sent Tina a list of 10 ways he could help her with her book. Nothing on the list was exactly what she wanted. She hired him anyway, because of the initiative. Build the sail to catch the wind. Build the ship. Your internal work. Values. Story. Goals. Recruit the crew. The people in your world. Hoist the sail. What you do every single day. Your core values are the keel of your ship. Without them, the first strong wind capsizes you. Keep a failure resume. Document what didn't work and what you'll do differently. Don't perseverate. Move on. "It's all good in the end. If it's not good, it's not the end." We're always in the middle of the story. Tina sends thank-you notes every single day. Five or ten minutes. Three or four sentences. Closes the loop. Builds the relationship. Don't end the dinner without making the next date. Most people drop the ball. Get it on the calendar before you leave. The instant you think something positive about someone, tell them. Be specific. Text. Email. Call. The instant. Tina's champagne moment: her newborn granddaughter at one year old. She just learned to turn over and looks so proud of herself. Reflection Questions What's on your failure resume right now that you haven't yet extracted the lesson from? Are you perseverating, or moving on? Whose thank-you note are you going to send today? Specific, genuine, unprompted.  Where in your life are you waiting for fortune and calling it bad luck? What is the action you've been avoiding because it requires you to put yourself out there? More Learning #679: Kat Cole: The Four Mindsets Every Leader Needs #669: Oz "The Mentalist" Pearlman: Overcoming Rejection, Getting the Reps, and Always Follow Up  #663: Priya Parker: The Art of Gathering: How We Meet & Why It Matters Episode Chapters 00:00 The Price of Becoming - Pre-Order Now!  01:09 Meet Tina Seelig  02:39 Tina's Dad: A Life of Curiosity at 99 and a Half  05:14 Becoming a Professional Noticer  06:54 The Stranger on the Plane Who Became Her Publisher  11:03 Wear Something That Invites a Conversation  14:11 Fortune vs. Luck: The Difference Most People Miss  16:08 The "With Our Luck" Reframe  21:09 Take the Earbuds Off and Get Out the Door  23:21 You Don't Get a Job, You Get the Keys to the Building  27:58 The Sentence That Changed Tina's Life  28:49 The Thank-You Note Read at a Funeral  31:52 The Student Who Made a Bad Decision  34:03 Oliver Greenwald and the List of Ten Ways to Help  37:04 The Sail Metaphor: How to Catch the Winds of Luck  39:41 What to Tell the Cynic Who Says "I'm Unlucky"  43:01 Core Values: The Keel of Your Ship  45:05 Why You Should Keep a Failure Resume  47:15 Send a Thank-You Note Every Single Day  52:06 The Champagne Question: Her Granddaughter at One  53:36 EOPC

Support the sponsor!► Rocket Money: https://rocketmoney.com/mrcreepsTIMESTAMPS:0:00:00 "I Got a Job Cleaning Strange Graffiti From an Abandoned Building."0:48:33 "I Found Something That Shouldn't Exist. God Help Me."1:29:18 "I Own a Pair of Dice That Give Me Real Luck."

TPCCafe Radio Present Classic Westerns, Have Gun Will Travel: Irish Luck

Fluent Fiction - Italian: Luck, Bluff, and High Stakes in Monte Carlo Find the full episode transcript, vocabulary words, and more:fluentfiction.com/it/episode/2026-06-19-22-34-02-it Story Transcript:It: Nel cuore dell'estate, sotto le scintillanti luci del casinò di Monte Carlo, si svolgeva una partita di poker di alta tensione.En: In the heart of summer, under the sparkling lights of the casino in Monte Carlo, a high-stakes poker game was unfolding.It: Il salone era un spettacolo di lusso, con lampadari sfarzosi che riflettevano una calda luce dorata sulle tavole da gioco.En: The salon was a spectacle of luxury, with lavish chandeliers reflecting a warm golden light on the gaming tables.It: Le decorazioni rosse e dorate si intrecciavano mentre un leggero vento estivo entrava dalla terrazza che si affacciava sul Mar Mediterraneo.En: Red and gold decorations intertwined as a light summer breeze wafted in from the terrace overlooking the Mediterranean Sea.It: Al tavolo del poker sedevano Alessandro, Giovanni e Francesca.En: At the poker table sat Alessandro, Giovanni, and Francesca.It: Alessandro, gioviale e un po' distratto, era pronto a dimostrare il suo ingegno ai suoi amici.En: Alessandro, jovial and a bit distracted, was ready to show off his wit to his friends.It: Voleva mostrare la sua fortuna e destrezza nel gioco.En: He wanted to display his luck and skill in the game.It: Giovanni, il suo amico pratico, osservava con uno sguardo di attenzione, sempre pronto a tirarlo fuori dai guai.En: Giovanni, his practical friend, watched with a focused gaze, always ready to bail him out of trouble.It: Francesca, con occhi affilati e una mente strategica, era l'avversario da temere.En: Francesca, with sharp eyes and a strategic mind, was the opponent to fear.It: Mentre le fiches venivano piazzate, Alessandro si accorse, con un misto di curiosità e panico, di aver usato per errore le fiches del casinò invece delle normali fiches da poker.En: As the chips were placed, Alessandro noticed, with a mix of curiosity and panic, that he had mistakenly used the casino's chips instead of the normal poker chips.It: La sua mossa avventata mise tutte le fiches in gioco, creando una situazione imbarazzante e rischiosa.En: His rash move put all the chips in play, creating an embarrassing and risky situation.It: "Alessandro, cosa stai facendo?"En: "Alessandro, what are you doing?"It: sussurrò Giovanni, ma Alessandro decise di coprire il suo errore.En: whispered Giovanni, but Alessandro decided to cover up his mistake.It: "Fa tutto parte del piano," rispose, con un sorriso mesto e nervoso.En: "It's all part of the plan," he replied, with a sad and nervous smile.It: Francesca lo osservava attentamente, cercando di intuire le sue intenzioni.En: Francesca watched him closely, trying to figure out his intentions.It: Alessandro, approfittando della sua confusione, decise di usare tutto questo come un elaborato bluff.En: Alessandro, taking advantage of her confusion, decided to use all of this as an elaborate bluff.It: Forse, pensava, Francesca sarebbe stata abbastanza confusa da lasciare che lui vincesse la mano.En: Perhaps, he thought, Francesca would be confused enough to let him win the hand.It: La tensione al tavolo cresceva.En: The tension at the table was rising.It: Tutti gli occhi erano puntati su Alessandro, specialmente quando annunciò "all-in", mettendo tutto in gioco.En: All eyes were on Alessandro, especially when he announced "all-in," putting everything at stake.It: Il brusio del casinò sembrava fermarsi mentre le carte venivano svelate una per una.En: The buzzing of the casino seemed to halt as the cards were revealed one by one.It: Contro ogni previsione, Alessandro vinse la mano.En: Against all odds, Alessandro won the hand.It: La sua strategia si rivelò, per una volta, efficace.En: His strategy proved effective, for once.It: Francesca annuì, riconoscendo la sua giocata, mentre Giovanni scoppiava in una risata incredula.En: Francesca nodded, acknowledging his play, while Giovanni burst into incredulous laughter.It: Alessandro, sollevato, si rese conto di aver avuto una fortuna sfacciata e che forse era meglio mantenersi a giochi meno rischiosi.En: Alessandro, relieved, realized he had been outrageously lucky and that it might be better to stick to less risky games.It: Aveva dimostrato il suo punto, ma capì che l'importante era restare con i piedi per terra e fare attenzione in situazioni tanto delicate.En: He had proved his point, but he understood that the important thing was to keep his feet on the ground and be careful in such delicate situations.It: Il gioco era finito, ma la lezione appresa da Alessandro sarebbe rimasta con lui ogni volta che avrebbe visto i lumi di un casinò brillare da lontano.En: The game was over, but the lesson learned by Alessandro would stay with him every time he saw the lights of a casino shining in the distance.It: Con una nuova consapevolezza, lasciò il tavolo, promettendo a se stesso di essere più attento in futuro.En: With a new awareness, he left the table, promising himself to be more cautious in the future. Vocabulary Words:the heart: il cuorethe salon: il salonethe chandeliers: i lampadarithe decorations: le decorazionithe terrace: la terrazzathe sea: il marejovial: giovialethe wit: l'ingegnothe skill: la destrezzathe gaze: lo sguardothe trouble: i guaisharp: affilatithe opponent: l'avversariothe chips: le fichesthe mistake: l'errorerash: avventatathe bluff: il bluffthe tension: la tensionethe buzzing: il brusiothe odds: le previsioniincredulous: incredularelieved: sollevatooutrageously: sfacciatarisky: rischiosithe lesson: la lezionethe lights: i lumithe awareness: la consapevolezzato promise: prometterethe ground: la terradelicate: delicate

Are you superstitious? Do you have a lucky charm? Or do you believe that everything in life is set up for you already so nothing is by chance? Maybe a bit of both?As we close out the NBA championships, celebrate Hamilton's first F1 win in Ferrari, and head into World Cup games, everyone's discussing luck these days. Whether it's Jordyn Woods' lucky purse or wearing the same underwear every game, we all have something we anchor onto. Besides controlling or hedging on within their control based on past experiences or logical reasoning, there is always a desire to influence the uncontrollable. Yet on the other hand, there are people who don't believe in chance or don't believe in controlling chance. For them, whatever is meant to happen can happen. As someone who is actively working on control issues, chance is something I struggle with often since people often tell me I'm very lucky. Today, let's click into that and see what that really entails.

In this audio by #nittygrittywithdrneetikaushik, we shall be discussing the importance of each planets and how each planet can help us to get wealth, health, abundance, Luck, success . Each planet has a different role to play in our life and we need the help from each one of these planets to become better inside out. This audio is a crisp, simple yet effective ways to understand their significance and also remedies to improve those planets and also to resolve the related issues . Enjoy the audio and share with friends and family .

TV Anime JUJUTSU KAISEN Season 4: The Culling Game Part 2 – Now in Production!JUJUTSU KAISEN”, the blockbuster manga created by Gege Akutami, depicts the battle between “curses” born from negative human emotions and “jujutsu sorcerers” who exorcise them through jujutsu.The series began serialization in Weekly Shonen Jump (Shueisha) in March 2018 and concluded in September 2024, bringing its six-and-a-half-year run to an end. The manga has surpassed an astounding 150 million copies in cumulative worldwide circulation (including digital editions).In September 2025, a near-future spin-off of JUJUTSU KAISEN titled “JUJUTSU KAISEN ≡ (Modulo)”, written by Gege Akutami and illustrated by Yuji Iwasaki, ran as a short-term series in Weekly Shonen Jump.The TV anime adaptation premiered on the MBS/TBS network in 2020. In 2023, Season 2, “Hidden Inventory / Premature Death” and “Shibuya Incident,” aired to tremendous acclaim, generating significant global impact beyond Japan.In 2025, a theatrical project was launched to revisit the world of JUJUTSU KAISEN in chronological order. In May, “JUJUTSU KAISEN: Hidden Inventory / Premature Death – Theatrical Compilation” was released. In October, “JUJUTSU KAISEN 0”, which achieved a worldwide box office gross of 26.5 billion yen, was returned to theaters.In November, a special theatrical release combining the “Shibuya Incident” special edited version with Episodes 1 and 2 of Season 3, “The Culling Game Part 1”, premiered under the title “JUJUTSU KAISEN: Execution”, creating major excitement.Furthermore, Season 3 of the TV anime was broadcast on the MBS/TBS network in January 2026, and the story moves into Season 4, “The Culling Game Part 2”. The intense saga surrounding curses begins to move once again.Support The Podcast!⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://creators.spotify.com/pod/show/roose366/subscribe⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Follow For More Content &Streams!Science Podcast: ⁠⁠⁠⁠⁠⁠⁠https://open.spotify.com/show/5nFXe9dPeWrMpyObyAlrnF?si=7358d1cf32cb45b7⁠⁠⁠⁠⁠⁠⁠Youtube Gaming: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@RooseJp/videos⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tiktok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@podcastonanime⁠⁠⁠

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Last 4 days before regular tickets sell out at AI Engineer World's Fair - this is the single biggest gathering of AI Engineers, Founders, Leaders, and Researchers in the world. Attendees get >$5000 worth of sponsor credits and talk tracks are looking FANTASTIC. Join us!The AI scaling debate always focuses on the question of “how do we get more GPUs?” but the better question may be: how do we make the most of ones we already have.The fact that a frontier lab like xAI could be running at sub-10% MFU (Model FLOPs Utilization) is just a hint at what the real problem may be.For context, older frontier-scale training runs were already much higher than 10%. GPT-3 was around 21% MFU. Gopher was around 32%. Megatron-Turing NLG was around 30%. PaLM reached around 46%. And our guest Anjney says best-in-class MFU today is closer to 60–70%.It's not necessarily that xAI is uniquely incompetent (it's clear they have talented folks) but rather the priorities may be flipped in the GPU arms race.While GPU access is a bottleneck, simply increasing CapEx won't automatically translate to better models as frontier AI is increasingly a systems problem: scheduling, utilization, networking, kernels, frameworks, data pipelines, parallelism, cluster reliability, and the thousand small decisions that determine whether your theoretical FLOPs become real training progress.From building Discord's developer platform and backing frontier AI companies like Anthropic, Mistral, Black Forest Labs, and Periodic Labs to now building AMP's independent compute grid, Anjney Midha has spent years close to the real bottlenecks of AI scaling. In this episode, Anjney joins swyx at Periodic Labs to unpack why the AI race is not just about buying more GPUs, why 95% utilization would have been considered an outage at Google, and why the next era of AI infrastructure has to be more aligned, more efficient, and more responsible.We go deep on AMP's vision for a compute grid that makes FLOPs flow like megawatts, the difference between full-stack AI labs and horizontal pooling, why AI data centers need community buy-in, and how compute markets could evolve into something closer to an independent system operator. Anjney also explains why DeepMind's unpublished research points to a market failure, why end-of-life prediction remains one of the most important AI applications he has thought about for fourteen years, and why “output maxing” may become a new discipline for frontier systems.We also discuss Anthropic's culture, why “luck favors the prepared mind” in coding models, how Claude cracked coding, why too much capital too early can make AI labs fragile, what Periodic Labs is trying to do with science and superconductors, why great researchers can become great CEOs, and why Silicon Valley is both deeply missionary and deeply mercenary.We discuss:* Why 95% utilization was considered an outage at Google* Why AI infrastructure waste compounds at frontier-lab scale* Why “move fast and break things” does not work for AI data centers* How data center backlash, power grids, and community incentives shape AI scaling* AMP's vision for making FLOPs flow like megawatts* Why compute needs an independent system operator* How interruptible demand and dynamic prioritization worked inside Google* Why DeepMind research hoarding creates negative externalities* AMP's 1.2GW base-load ambition and the need for 6GW of spike capacity* Why end-of-life prediction could become one of AI's most important healthcare applications* Frontier Systems, output maxing, and full-stack alignment* Why APIs and abstraction layers become lossy as organizations scale* Superconductors, standards, and the dream of lossless systems* SF Compute, open protocols, and the future of compute marketplaces* Why non-NVIDIA chips can still benefit from NVIDIA's reference architecture* Trust boundaries and why chip startups need visibility into future model architectures* Why VCs often underestimate researchers as CEOs* Scientists as star athletes of the mind* Why great CEOs need to be confrontational up and down the stack* Why leading the frontier matters more than “winning”* How Anthropic cracked coding* Why culture is fragile, not a permanent moat* Why hardship was a feature, not a bug, for Anthropic* Why Anthropic's P0 was coding from day one* Periodic Labs, physics as the constraint, and technical reality* Silicon Valley mercenaries, missionary teams, and what happens after a breakthroughAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney* X: https://x.com/AnjneyMidhaAMP PBC* Website: https://amppublic.com/* X: https://x.com/amppublicTimestamps00:00:00 Introduction00:00:09 Why AI Compute Is Being Wasted00:03:17 Responsible Infrastructure and Data Center Backlash00:06:07 AMP Grid: Making FLOPs Flow Like Megawatts00:12:41 Foundry, Frontier Labs, and Research Hoarding00:14:42 Gigawatt-Scale Compute and End-of-Life Prediction00:24:08 Frontier Systems, Output Maxing, and Alignment00:27:38 Compute Markets, SF Compute, and Non-NVIDIA Chips00:32:57 Trust Boundaries, Co-Design, and Researcher CEOs00:38:17 AI Coachella and First-Principles Thinking00:42:43 Leading vs Winning in Frontier AI00:45:54 How Anthropic Cracked Coding00:48:25 Culture, Hardship, and Anthropic's P000:54:03 Periodic Labs, Physics, and Silicon Valley Mercenaries00:56:26 Rishi Valley, Singapore, and Money as a Measure00:58:47 Closing ThoughtsTranscriptIntroduction: Anjney Midha, AMP, and Compute WasteSwyx [00:00:00]: We're in Periodic Labs with Anjney Midha, CEO, founder of AMP. Welcome.Compute Utilization: Node Allocation, MFU, and AlignmentAnjney [00:00:09]: Thanks for having me. At Google, there are two types of utilization usually, right? That you're measuring in these clusters. One is node allocation, and then the other's MFU. Node utilization is usually like what percentage of cards in the data center are just, used, and that, if it's not at, 95%-Swyx [00:00:29]: There is no excuseAnjney [00:00:29]: There's no excuse, right? I think 95% at Google, which is where my co-founder, Seb, came from, he built the Borg, PBorg/GQM scheduler at Google, and there I think 95% was considered an outage, so 96% node utilization is, should be standard. And most single-tenant clusters are not running at that. So that's one. And then MFU should be, I would say the best in class today is somewhere between 60 and 70%. I think this is a leadership question, right? Fundamentally it's an alignment question, which is are the people who are funding the cluster and then deploying the cluster actually aligned? And sometimes theoretically they are, but in practice the number of people in the chain, the supply chain between, the capital and all the way to whoever's managing the cluster and then whoever's measuring what the output is, are just so many, degrees of separation away that, the, The Have you ever heard the radian metaphor, which is at the beginning of an arc, if you have two arcs that are two lines that are just off by a few degrees, that-Swyx [00:01:33]: It spreads outAnjney [00:01:34]: It spreads out, right? Or at scale. And I think what's happening is a lot of cluster implementations and infrastructure, a lot of frontier labs and other teams, that's what's happening, is they're, they initialize the plan, which is kind of like North Star with a team that wants to do good, but then they're, required to scale so fast instead of iteratively that the wastage just compounds really fast at scale. And so I think we know the answer, which is just do iterative bring ups. If you spend time with people who've been in the semiconductor industry or the DSN industry for a long time, this is not new, and I don't think AI should be an excuse. Sure. Something What is new? Okay. We have a lot of new capabilities, but that doesn't mean just abandon common sense. Common sense should always be in fashion. ? AI scaling doesn't change the in fact, if anything, AI scaling should be putting a premium on the value of common sense and infrastructure because the margin of error now is so much lower and the costs of wastage are so much higher. And the cost of wastage, by the way, is not just economic. I'm, obviously I'm, I'm an investor, or I'm an investor by background. Over the last few years now we're running an AI infrastructure business called, AMP. And I think that it's okay to say this time is different on the capabilities front. We are genuinely getting capabilities at, of the, of a kind we haven't had before. That doesn't give you an excuse to say this time is different for everything, especially infrastructure. So look, I love the hacker mindset and the hustler mindset. Now, that's great for the startup mindset, but you remember this moment where Zuck went from saying, “Move fast, break things” to, move-Responsible Infrastructure and Data Center BacklashSwyx [00:03:10]: Fast and stable infrastructureAnjney [00:03:11]: Move fast with stable infrastructure. I think now we need to move fast with, responsible infrastructure. People are going to ask where the impact is. There was a really In our class yesterday, Scott Nolan, who's the founder of General Matter, came by at Stanford to speak about energy bottlenecks. And he had a phenomenal idea. He said, “if you look at the marginal unit economics of compute per hour,” he goes, “let's call it, $4 an hour. If you're having to bring up a new data center in a new community, why not just say we're going to charge 4.50 an hour, and that marginal impact or that marginal increase, we just literally take that and give it to the local community as cash?” I can tell you as a customer of that compute, I would love that. I'd be happy to pay an additional 50 cents per hour at scale.Swyx [00:03:57]: Wow. Yeah.Anjney [00:03:58]: Because if that means the public benefit is so clear to the communities that the data centers are coming up in, I'm going to feel like that compute is much more reliable. Up to 20% of all data centers this year in the US, my understanding is are at risk.Swyx [00:04:13]: Of community backlash?Anjney [00:04:14]: Correct. Of not getting the community support they need to get brought up.Swyx [00:04:19]: Wow. That's a huge number.Anjney [00:04:20]: Yeah. Now, we, I think we should dig into what that number is. I think it's a little bit of overstated. These things can get over-reported, but it-Swyx [00:04:27]: They don't just care about jobs. They care about all the other stuff around it, right? They care about power grid, they care about environments-Anjney [00:04:33]: Power grid, permitting, and so on. And imagine I think if you said there's a new AI deal. If we're bringing up a data center in your community, we're actually going to reduce the cost of your electricity bill. Okay, now we're talking. Right? The community's going, “Okay. Now this is a deal. I feel like a partner in this.” Right now that's not happening. There will be audits, there will be investigations, and when the, when the regulators come, I don't know when it's going to be, the folks who are moving fast and breaking things in the name of AI progress better be prepared. That's certainly not how we're procuring compute. Or we're, we're trying as much as we can to work with partners who have long-term track records. Many of whom, by the way, are not, AI providers. I think this whole idea of neoclouds being somehow this new category is a lot of marketing speak. There are really good, reliable, trusted data center providers in America who've been around 20 plus years. I love those folks. They know how to Sure. Are they sponsoring happy hours at NeurIPS? No. Are they legibly listed in Build? No. Are they hanging out in my, in, situational awareness parties? No. But they're adults. I trust them.Swyx [00:05:44]: They can run LAN. They can run power.Anjney [00:05:45]: They can run LAN, power, and shell. They have credit histories. We sit down, we have a conversations. Many of them live in Silicon Valley. They've, they've had to deal with the boom and bust cycles of the internet, and I love those folks. They are stable infrastructure partners and thinkers. And I think there's a lot of short-term thinking going on in the compute layer, and it's going to catch up to us. It's not going to be good.AMP Grid: Making FLOPs Flow Like MegawattsSwyx [00:06:07]: You talk about aligning incentives, and, I would think that aligning incentives means you have the full stack in one company, which is xAI and OpenAI, right? So you as a standalone infrastructure layer, why are you somehow more aligned to your portfolio companies than people who just own the whole thing?Anjney [00:06:28]: In systems design, right, there's, there's two regimes of, architecture, right? You have integration, and then you have pooling and utilization, right? So the Or rather, the way to increase utilization often is you can do systems integration where you collapse a lot of process into one node, or you can pull out a process from a node and share that amongst various That resource amongst several different nodes. And so we see the AMP grid, which is, the, what, the system we're building here, which is basically a compute grid. We're trying to do for compute what the electric grid-Swyx [00:07:02]: PowerAnjney [00:07:02]: Yeah, what the power grid did for electricity. It-- this is a pooling and utilization layer across clouds, And so we're actually the opposite of a full stack integration like approach.Swyx [00:07:12]: Super horizontal.Anjney [00:07:13]: Where it's much more horizontal and it's, it's multi-cloud, it's multi-silicon. The goal is to try to make FLOPs flow like megawatts, and that is very hard to do today for many reasons. There's stranded pools of compute all over the place and there's no fungibility. And so right now we do it at the level of scheduling, and we often do it at the economic layer. But as we start to announce what we're working on, it's extraordinary like how many folks are coming out of the woodworks and saying, “Hey, I'm actually working on a way to make compute fungible at this part of the stack and that part of the stack.” And as a grid, we'd like all of these folks to participate on the grid. There's, people often ask me, “Andra, are you a new cloud?” And I go, “No, actually neoclouds are suppliers.” sometimes they'll ask, “Are you a venture capital firm?” I go, “No, actually they are, they are demand like sort of off-takers of the grid.” We see ourselves as what's called an independent system operator. So if you study the history of the electric grid, once it became legible to a lot of factories and industrial sort of participants that, hey, actually it turns out pooling is a good idea. We should pool our generators instead of all having a generator running at half capacity in our backyard. There was a need for an independent entity who could coordinate all these parties. Transmission line, power generation, facilities, transmission lines, factories, and that neutral coordination mechanism is very critical. In order-- If you study like the history of grids, the most enduring ones were those that never owned their own assets. They were ones that had, or often started with long-term anchors who are uncorrelated sources of demand, a steel factory, a shoe mill or whatever in a particular town who weren't competitive, where the steel factory want to spike up at night, the shoe mill wanted to spike up during the day. So then you pool and you share, right? So each of you is guaranteed some base load, but then you kind of schedule your spikes to drive a peak utilization across the town. The gold standard, so to speak, historically, has been these utility companies like PJM Interconnect in the northeast of America, where they, over many years became this what's called an ISO, an independent system operator of the grid. So that's how we see ourselves. Economically, that's what we are. From a technical perspective, we started at the scheduling layer because Seb and Mihai, who, run engineering here, built that at-Swyx [00:09:28]: Did your schedulingAnjney [00:09:28]: They did that at Google. And, -Swyx [00:09:32]: And you have infra shops from Discord as well.Anjney [00:09:35]: I have some.Swyx [00:09:35]: I don't know, I don't know if Discord is like the primary identity, but what-whatever, I'm just kind of-Anjney [00:09:39]: No, D-Discord was-Swyx [00:09:40]: Choosing a well-known name.Anjney [00:09:42]: Well, I So I was running the developer platform there. The internal infrastructure I was not responsible for. That was actually a guy by the name of Mark Smith, who was extraordinary. And yes, Discord did pool So Discord is actually a counter example. I had the chance to learn a lot about fully, full stack infra there because-Swyx [00:09:56]: It's the same thing, yeahAnjney [00:09:57]: It's the, it's the other architecture which is, Discord built its own WebRTC vo-voice and video infra. So like Discord did not use-Swyx [00:10:08]: For the calls, yeah.Anjney [00:10:09]: Yeah, did not For communication, Discord did not use third party infra. It was all built in-house. And then the way you maximize utilization was you pool demand from the world's 200 million plus monthly active gamers, right? And so that's, that's how those stacks were constructed. Again, in systems design, the two concepts that keep coming up over and over again are abstraction and composition, right? And-Swyx [00:10:31]: Bundling and unbundlingAnjney [00:10:33]: Bundling and unbundling, abstraction, composition, like verticalization and-Swyx [00:10:36]: HorizontalAnjney [00:10:36]: Horizontalization. So in that sense, AMP is an independent system operator of the grid. We pool demand, we pool supply from a number of partners we trust At about 1.3 gigawatt scale over four years. And then we pool demand from some of the world's best, research labs and so on. We're sitting at one, periodic labs who need extraordinary long-term demand. And the idea is that, each of them is guaranteed base load on the grid, but they can spike up and down flexibly on, for compute, with much shorter timelines as needed. That was roughly the design of the program I came up with at a16z called Oxygen. The same-- That was the same design of the GQM, BorgX, Borg GQM implementation at Google that Mihai and Seb had built. Which was that how do you allow, teams inside of Google, on the internal infrastructure to be guaranteed capacity, for their base workloads? But when they need to spike up on research, how could they ensure that was sufficiently there? And of course, the big innovation that was not discovered, but kind of implemented in the space, this infra space maybe three, four years ago at Google was the idea of interruptible demand, right? Where you just queue up a bunch of jobs and through this like sort of credit system, there can be a bidding mechanism.Swyx [00:11:53]: Like priorities.Anjney [00:11:54]: It's a dynamic prioritization Basically. And jobs can get interrupted based on somebody else who's saying, “what? I have 10 tokens, 10 credits I want to spend on this job.” Another like team lead, research lead is “Genie 3 or whatever is only worth five, credits, and NanoBanana2 is worth 10 credits,” and so the NanoBanana job gets priority. That's a, that's a made up example.Swyx [00:12:15]: It's very real. Brain Marketplace was real. And, we've, we've covered this on the pod with David Luan, who was-Anjney [00:12:20]: Oh, great. OkaySwyx [00:12:20]: Was there. And the criticism is that, well, actually sometimes you need central command to go all in on a thing. And actually sometimes capitalism via credits doesn't work. Not, this is not a criticism of AMP. I'm just saying, this is a thing that has been tried, internally within Google, and it led to Google missing GPT.Foundry, Frontier Labs, and Research HoardingAnjney [00:12:41]: Like, we structured ourself essentially very similarly to Google. We are structured as a holdings company. So, Alphabet holdings is Alphabet holdings, and then they've got these subsidiaries called Google and-Swyx [00:12:51]: Other betsAnjney [00:12:52]: Other bets and so on. We've got, AMP holdings, and we've got our infrastructure business, and then we've got a capital business called Foundry that incubates new frontier AI labs or invests in them as venture capital, like Periodic. We put a few hundred million dollars into Anthropic from our fund earlier this year. So wherever we feel like teams are making progress, especially researchers and so on who've pushed the frontier inside of existing labs like DeepMind, I find, there comes a point where they feel misaligned with the dictatorship of Alphabet holdings. And at that point, sometimes the dictatorship doesn't want them anymore. And they're “Thank you. You've done your job here. You've kind of helped us through the zero to one phase, and for whatever reason, we're going to deprioritize your amazing, omni model or whatever it is, and instead we're going to prioritize coding.” And, I think that's a tragedy, but I get it. They're Sergey and team are running their own business there. But that doesn't mean we the rest of us should sit around waiting for that progress to get unlocked for the rest of the world and humanity. If you think about how much extraordinary research has happened inside of DeepMind over the last 10 years, I, Demis and Sergey and those guys did such a great job. But at the end of the day, so much of that has never seen the light of day?Swyx [00:14:00]: Or they're like papers only, but they never actually shipped it to production or-Anjney [00:14:03]: What's worse is the paper is actually not even being published anymore ‘cause there's a six-month embargo inside of DeepMind, right? We've heard about this where a paper comes out, and then I think there's a six-month embargo window where if anybody on the business team says, “This could be interesting” It's embargoed for life.Swyx [00:14:18]: Exactly. So the stuff that gets published is the stuff that's not good enough.Anjney [00:14:21]: There's an adverse selection problem, basically. Yeah. At this point-Swyx [00:14:25]: It's, it's a common complaint at NeurIPS, by the way, that's “Well, why would I look at the papers that are the trash of GDM?”Anjney [00:14:31]: Again, I think it's a tragedy. I get it. They're running their business, but the rest of the I think there's negative externalities of research being hoarded, and so that'there's a market failure. And somebody needs to unlock that research, and we can't do it on our own. We only have 1.2 gigawatts of compute. That's nothing. That's about $40 billion of cloud spend. We're going to need a lot-Gigawatt-Scale Compute and End-of-Life PredictionSwyx [00:14:51]: By the way, is that's a new number. I haven't, haven't come across that gigawatt number. That's huge.Anjney [00:14:56]: Yeah. And to be clear, we haven't secured all of it. That's how much demand we have started to secure. I think publicly we haven't actually confirmed how much we have for this year. In order-Swyx [00:15:04]: Where do you want to get to?Anjney [00:15:06]: I think the steady state would be that we have a base load pool Of 1.2 gigawatts at all times Of base load capacity. For spike capacity, right now my estimate is we need roughly six gigawatts over the next four years for all our teams to feel like they were able to keep moving the frontier, whatever they're working on, whether it's, like superconductor discovery over here. There's a new investment we're working on right now, which is in the end of life prediction space in healthcare. It's extraordinary how much you can, you can give this was actually my graduate school work. I went to grad school for bioinformatics at Stanford Med. And I know we-Swyx [00:15:40]: Econ, MCS, bio.Anjney [00:15:41]: So my-- I was this really weird cat where, I was never satisfied with my major options. So at one point I was an econ major, then I was a CS major, then I was a MCS major called mathematical computational science, and they decided they were going to end that major. So I took all that coursework, and I applied it to grad school, my graduate degree in bioinformatics, which was the master's program, and then I thought I was going to do a PhD. I never ended up doing it. I dropped out and went to work at Kleiner. But I was lucky enough to apprentice with this professor at, Stanford Med. His name is Nigam Shah, and he was working on end of life prediction. Stanford is one of the only research facilities in America that has a longitudinal patient data set that's larger at scale. I think it's at least 12 million patient lives. The only larger data set is at the VA, the Veterans Affairs, of America. And to do research, like do any deep learning and so on that data set, it was called the STRIDE data set at that time, you had to be a Stanford Med School affiliate, which is why I went and enrolled in the bioinformatics department. End of deep learning was early. Nigam Shah had the visibility-- the vision to see that, you could do end of life prediction to help palliative care. In America, the, over 30% of all Medicare, Medicaid spend, at least at that time, was spent on end of life care. And what's we grew up in Asia, so we all-- Yeah, at least I won't speak for you, but I have A very different relationship with death than I find folks who grew up in America do. In America, spiritually and culturally, especially in Western societies where Christianity, the Christian tradition sort of frames death as this terminal point, there's often a judgment day and so on. The way we view death is with a finality. In Indian culture, in Hindu culture, death is one-Swyx [00:17:35]: Also, he's Buddhist as well.Anjney [00:17:36]: You're Buddhist, yeah. So it's one, it's one step in a journey of many lives, right? And so, I grew up in this city called Chennai in the south of India, and when people die, you dance on the street. There's like a procession where your body is carried to be cremated and your family, like celebrates and there's drums and so on. It's this huge thing. And, It's because the idea is that you're going to be reincarnated. You've been liberated from the responsibilities of this life, and now you're onto your next. It's a new It's like going off to a new college or whatever, right? And so it was so alien to me when I got here as an undergrad- That the medical system works backwards from that assumption that we have to view death as this terminal thing and delay it, postpone it's a bad thing. And so at the time, clinical decision support in the United States was this very primitive field. Even to this day, physicians in the United States often will tell you when you have a terminal disease, this is your, we've diagnosed you, which is great. Our ability to diagnose you is extraordinary. You have somewhere between six months to six years to live. What do you do with that information? The error bars are so high that then you In times of uncertainty, we default to culture, and when the culture is let's-- this is a bad thing, I've got to prolong my life, then you start doing things like And just to, just sort of from a systems perspective, what's going on there is Physicians often feel like they need to provide such high error bars because there's always some uncertainty in end of life diagnosis, and if you provide the wrong Diagnosis or recommendation to your patient, you can be sued for medical malpractice. And then your license can be taken away. It can be catastrophic for your career. In contrast, if in countries where that's not the case, what you often observe is that patients, physicians are quite prescriptive with their recommendation. They say, “Hey, this is your condition. The literature says that you probably have this much time on Earth left. My expert opinion is that you are an outlier or whatever.” And they try to be more prescriptive, and that empowers a patient, right? ‘Cause then a patient can say, “I trust my doctor. They said on average, I have six months to live, but if I do these things, I may have a shot because of my particular predispositions or my genetic history or whatever.” And that empowers you to go about your life in a actually more scientific way than leaning on religion, culture, spirituality, and so on. In contrast, here, because of that medical malpractice sort of thing looming over your head, a physician never gives you a clear recommendation. So instead you say, “Okay, Doc, well, let's try it all.” And then you start a whole regime of drugs and therapies, and then you often spend weeks and weeks in the hospital, and that deteriorates your quality of life. And when that deteriorates your quality of life, you instead of spending your last few days doing the things you love with your family, you're spending it on a hospital bed. And that ends up being thirty percent of Medicare and Medicaid. So it's worse for the patients. The doctors feel terrible. The American taxpayer is paying a huge amount of money. And so this is why Nigam Shah, who was this professor at Stanford, said, “Anjney, if there's “ I kind of sat down with him. I was this young, I'd, I was twenty-one, and I was “I want to work on a big problem.” He's “The big problem is end of life care.” And so we tried to do deep learning to say, to-- So we started trying to run deep learning on these tried patient data sets to say, “Could you have an AI system make a recommendation that is orders of magnitude more precise about how much time you have left once you've been diagnosed with a terminal condition than a human?” And then if we can get that precision to be high enough, then you can empower the patient. And it turns out the tech works. Like it's-- Once you get the data set, like RL works. Honestly, even regression models work. You don't need to get that fancy. At the time, we were just trying, doing like very simple neural nets.Swyx [00:21:54]: Simple solutions, yeah.Anjney [00:21:54]: Today, what we can do with RL is extraordinary. The problem remains then and now is regulatory, because you actually can't shift the burden of the wrong clinical diagnoses from the physician to the AI system. And so at that time, I got quite disillusioned ten years ago for, twelve years ago where, ‘cause I felt I just didn't have the resources to influence regulation. Today, I'm very lucky. I'm in a different place. I've, I'm a lot older, and so I've been spending a lot of time on my next incubation, which is how can we unlock the, patient empowerment by training AI models to do end of life prediction much, with much more precision and ac-Swyx [00:22:37]: Oh, wow. You're still focused on this the whole time.Anjney [00:22:40]: The-- I haven't been able to get, this out of my mind a single day for the last fourteen years. This is the hill I want, I would like to die on. There's two, I would say. What? I actually, I'd prefer not to die.Swyx [00:22:51]: Yeah, exactly.Anjney [00:22:52]: But I think two bipartisan issues, I think two issues that should be bipartisan in America are how do we empower patients to make the right clinical decisions at the end of their life, such that we're reducing the taxpayer burden with science? It's just good old science, and AI can help here. And the second is, net positive data centers, ‘cause I think that's the biggest critical bottleneck on training and good enough AI models to help people at the end of their life. So there's sort of two sides of the, of the same scaling bottleneck curve, but those two, we formed AMP as a public benefit corporation. My wife and I, who you've met, you've met Viv. Her passion is education. Her family is a long line of educators and so on, and, of physicists. And so this class is my attempt to stop being the black sheep of the family and be a, an educator. But if I'm not educating, the thing I would be doing is working, on these two problems, whether on the political spectrum or as a researcher back at, in some lab. And my hope is if anyone's listening to this podcast, if they're passionate about either of those two topics, I'd love to hear from them. We'll, we'll we can share the contact in the show notes, but, we're looking for people to join both of those missions on the, on the political side as well as on the medical side, on the research side.Frontier Systems, Output Maxing, and AlignmentSwyx [00:24:08]: You said, this is a discipline that you want to form. You call it's called variously called Frontier System. It's variously called One Person Frontier Lab. What is the ideal name or shape of this? Like the, what is the mission?Anjney [00:24:24]: Of the class?Swyx [00:24:26]: Of the discipline that you're, exploring, right? I The class is called Frontier Systems. But like for me, maybe one phrase is you're, you're just anti-waste, right? Which is wasting GPUs, wasting in human and Medicare. But is there, is there a broader theme that I'm, that maybe you can encapsulate more succinctly?Anjney [00:24:45]: Yeah. The, from an engineering perspective, it's very simple. It's output maxing. It's the, it's the department of output maxing.Swyx [00:24:51]: Making the most of what we have.Anjney [00:24:52]: Exactly. I'm a huge believer in optimal outcomes. I think both in America and other countries, we are losing our appreciation for nuance, and this is the thing of And AI is the same case, right? Oh, the bitter lesson holds. Okay, fine. But that doesn't mean you just like throw 500 GB300, 500,000 GB300s at your suboptimal model scaling and you waste a bunch of compute. It also doesn't mean that, the most optimal is to have like 50 different architectures where there isn't enough standardization. One of the reasons Anthropic has had extraordinary sort of velocity is ‘cause they picked the transform architecture and said, “This is simple. Let's double down on it,” right? And now luckily there's enough investment going to the space that we can afford other architectures, but at the time, investment was just too fragmented into other architectures, so that arguably unlocked scaling. So I think there's a philosophy. I think we all owe it to ourselves to do output maxing with a new capability called AI on a global level. I think if I was starting a new department at Stanford, depending on how fuzzy or technical I wanted to be, I'd probably call it the Department of Alignment. Like-Swyx [00:25:59]: It's an overloaded termAnjney [00:26:01]: But it is, But alignment really Is a hard problem. And I think when you unlock it, full stack alignment is super hard in any organization and in any system. Like in a, in a venture capital firm, if you can have full stack alignment between your limited partners and your, the founders who are creating the value and ultimately the public that owns the IPO stock, that is a gift that keeps giving. And when you study the history of these systems, when they start off, they usually start out small scale where the feedback loop is actually so tight that there's alignment. And then the more you try to scale, the more division of labor happens, the more specialization happens, and at each step you add abstractions. And wherever there's an API interface, there's like loss. There's communication loss. And so I think a really cool thing would be for us to figure out is there a way for us to have our cake and eat it too as an engineering discipline? Is there a way to actually scale up and scale out Without losing any alignment, without lossy transmission?Swyx [00:27:01]: You mean standards?Anjney [00:27:02]: So standards is one way. The other way is you just have net new capabilities. So like what we're trying to do here is discover new superconductors. A room temperature superconductor would be a lossless transmission mechanism for energy. We would have flying cars. We are right within a few years of having a new room temperature superconductor. So I think those are the two. You either have to standardize On protocols or API specs that allow lossless communication, or you can come up with a whole new capability that unlocks so much abundance, the standardization doesn't matter ‘cause you just unlock net new capacity. This, the, so this is what I spend my days thinking about these days.Compute Markets, SF Compute, and Non-NVIDIA ChipsSwyx [00:27:38]: No, I think every infra person at, who wants scale and wants to output max does eventually end up thinking about this. We don't have time to go into it, but we have done an episode with SF Compute-Anjney [00:27:50]: Oh, coolSwyx [00:27:50]: That is trying to standardize The futures contract for compute. I don't, I don't know how that's going by the way, but like at some point this will be public.Anjney [00:27:57]: Oh, I think Evan is awesome and SF Compute is the kind of effort that I hope we can accelerate because what often happens is these exchanges are very hard to get, they, it's hard to bootstrap them, right? Because they often require-- There's many inefficiencies between parties. There's trust boundary inefficiencies in infrastructure because you don't trust, one part of the stack doesn't trust another part of the stack to give them visibility. There's capital markets inefficiencies, there's operational efficiencies. So if you can inject like a single shock to the system of a ton of compute demand or supply, then you can accelerate, these new flywheels. And so my hope is one day, or soon, if SF Compute needs extra like has excess capacity, they just hook it up to the grid and they get flooded with demand from us. And on the other side, if they have a ton of demand but they don't have supply, they just again hook up to the grid and it's a two-way protocol where they can just hook up to our capacity. And I don't think we're too far from that. Today our working implementation of it is mostly through a group of labs, universities, and a few sort of trusted parties who are, who all feel like they're in alignment to borrow an over sort of used word. But our hope is to just have it be an open protocol that anyone can hook up to on-Swyx [00:29:20]: Hook up for demand or hook up for supply? In primarily demand, it sounds like. Like you-Anjney [00:29:25]: No, bothSwyx [00:29:26]: You would want to offer demand.Anjney [00:29:27]: Both. Yeah. Unfortunately, what's happened in the last six weeks is, we thought we'd have a bunch of excess capacity by the end of this year. It's all gone.Swyx [00:29:37]: It's exploding.Anjney [00:29:38]: It, yeah. It's all gone. And so I have, my text messages are full of friends, we know many of these people, these are founders who've raised billions of dollars in San Francisco going, “Oh, any chance you have like 50 nodes in the next few weeks?”Swyx [00:29:51]: What is the scope for, non-Nvidia, right? You have Lisa Su coming and, Rainer Pope as well. And so There is a lot of demand for, more performance Alternative architectures and all that. At the same time, this hurts your standardization.Anjney [00:30:11]: I don't think so. So actually Rainer's a great example, right? Rainer is a CEO and founder of, MatX. I actually had him by for office hours in the class earlier today, and there was an insight he brought up that I hadn't considered before, which is when they decided to pick the standard For their data center, they picked the NVIDIA reference architecture. So the MatX chips Just plug in to any site that has an NVIDIA bring up planned. And, the-Swyx [00:30:42]: It's just software then. It's, it's not the-Anjney [00:30:44]: A-Swyx [00:30:44]: Hardware.Anjney [00:30:46]: Well, from an input and IO perspective It's the same footprint as an NVIDIA rack.Swyx [00:30:52]: That makes sense.Anjney [00:30:53]: Where they have done, innovated a bunch from what I can tell is on systems co-design. Which is where a lot of the gains are to be had. And so he picked He was “Anjney, we, there's just so much work to do when you're building a new chip company.”Swyx [00:31:08]: Can't fight every front.Anjney [00:31:08]: You just can't fight on every front. So my question to him was, “Well, you're working on this new chip. Their tape-out is next year. What, who are you going to partner with to host the chips?” And he said, “Whoever will host them. That's just not, that's not my focus.” And I said, “But how did you “ you decided back to our earlier systems design question, he decided that, he didn't want to be a full, fully integrated chip provider. The bottleneck they're focused on is the logic die, and they, he feels they can crank out a ton of performance gains through co-design there. But then that means you delegate, to our question earlier, it, you he's the data center provider is a different part of the stack, and so then he's dependent on that part of the ecosystem to host his chips to get the performance gains to the customer. So now you have another abstraction, and you might have loss. So I asked him, “How do you prevent loss?” And back to your point, he said, “I just picked the NVIDIA standard ‘cause I didn't want to Like I wanted to piggyback off of an existing protocol.” And that, what's great about NVIDIA is that reference architecture is known.Swyx [00:32:15]: Open.Anjney [00:32:15]: It's open. They've published it. So Jensen's actually enabled someone like Rainer to build a chip company like MatX, and I don't see them as competitive. The compute demand is so high. Like, I don't I think NVIDIA's not able to meet the demands of production, so we just need more chips. And I think it's very smart what MatX has done, which is say, “We're just going to we're not going to innovate on the data center design ‘cause actually, thank you, Jensen, you've done all the hard work. Where we can innovate is somewhere else.” And I think that's, that's very healthy. I think that's how we unblock new bottlenecks. And my view is these, the, chip teams like MatX, who have arrived at the insight that co-design is the way, The primary bottleneck for them is trust boundary. To do co-design well, you need visibility into the next model generation as soon as possible ‘cause it takes two years to tape out. So if by the time I bring my chip to market, your model architecture's changed, I'm host. Now, when he was inside Google, he was sitting next to the Gemini team. He was on Palm or whatever.Trust Boundaries, Co-Design, and Researcher CEOsSwyx [00:33:19]: His co-founder was the, was one, was one of the Palm guys, I think.Anjney [00:33:23]: Yes. Yes, exactly. So when you're inside the trust boundary of Google, then your systems co-design loop is super tight. When you leave as a founder, one of the biggest risks you take is now you're outside the trust boundary. And so what I love doing is helping chip teams who can help us unlock more capacity for the independent ecosystem access to trust. Because when I If I've been, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral and helped Black Forest Labs get started. I think at this point I'm on six or seven different teams.Swyx [00:33:57]: Only six? I feel like my mental number was going to be 13, but yeah, it's-Anjney [00:34:02]: No, I go deep with one at a time.Swyx [00:34:04]: You're founding CEO of Arena.Anjney [00:34:07]: Nah, that was an, that was an-Swyx [00:34:08]: Administrative CEOAnjney [00:34:09]: It was an administrative five-month gig where Whalen and Anastasios were graduating from their PhDs, and they didn't need a product team. So I helped recruit the head of engineering product and design. But Anastasios has always been the CEO of that company. I played a pinch-hitting I'm an intern. I was CEO intern For five months. -Swyx [00:34:33]: I interviewed him, and he's he's very well-spoken. I think he's a debate, former debate, champion. But also very quantitative and mathematical, which is-Anjney [00:34:41]: He-Swyx [00:34:41]: Such a unicorn.Anjney [00:34:43]: See, what's amazing about him? If you look at his output, he's an output maxer. By the time he was graduating from his PhD, which he only graduated last year, he had published more work with a citation count than, people twice his age. But at the same time, he'd already started a project called LLM Arena that was being used by millions of people As a side project. And time and time again, what I've realized is venture capitalists suck at seeing human beings as, dynamic agents where-Swyx [00:35:14]: They want to put you in a boxAnjney [00:35:15]: They want to put you in a box.Swyx [00:35:15]: This is your thing.Anjney [00:35:16]: So the first time I got introduced to Anastasios, somebody had told me “Oh, he's amazing, but he's a researcher.” I was “what? What do you mean he's a researcher?” That's what-Swyx [00:35:28]: Like he's not a CEO, not a founder.Anjney [00:35:29]: Not a CEO, exactly. I was “Are you crazy? Do you Have you met Dario?” Dario's a scientist. He's gone from zero to, what will soon be a trillion-dollar company in four years. Being a CEO, nominally speaking, is not that hard. Being a good CEO is hard. Being a great CEO actually requires a level of performance that scientists who have already published at the top of their field have accomplished. It is super hard to be a competitive scientist. To publish in academia over the last 20, 30 years, to make it to the top of your discipline at a place like Berkeley, you are a star athlete. Like, you are an athlete of the mind, and you perform at the highest levels. And to get there, whether you're, Anastasios or Whalen at Berkeley, or you are Robin, who-Swyx [00:36:23]: BFL, yeahAnjney [00:36:24]: With Black Forest, who created Stable Diffusion, or if you're, like Guillaume at Meta, who created Llama before he started Mistral. The amount of human leadership you have to demonstrate to get the resources, like get the trust of the organization, publish it, put it up. I would just fund researchers all day Right? If who have contributed already to the field. If they've, if they've put SOTA out there, they're, they're star athletes already. If they haven't done SOTA Look, they can still be good CEOs, but then I find the failure mode is that they just don't want to be CEOs, they primarily want to publish, and that's okay, too. One of the things we do with the AMP Grid is we donate excess compute. We have two nonprofits, like university labs. We carved out like a couple thousand H100s. But I do think there's extraordinary research being done on university campuses. My father-in-law's a physicist. He's a professor. Extraordinary work in physics, and we need that. But if you want to be a CEO, what you need to be willing To do is be super confrontational, outside of science. Like within the scientific community, some of the best researchers are very confrontational about their convictions, right? This architecture is right. To be a great CEO, you basically have to be willing to be confrontational up and down the stack.Swyx [00:37:41]: To your own team.Anjney [00:37:42]: To your own team-Swyx [00:37:43]: To customersAnjney [00:37:43]: Hiring, recruiting customers. Well, I would say, Yeah, pretty much to everyone Everybody. Of course-Swyx [00:37:50]: I see, I feel a little bit of that in my own work, but yeah, I can't imagine the stakes that Dario has had to go through. It's, it's pretty insane.Anjney [00:37:56]: No, I don't think the stakes are that different From how you're feeling it, right? Stakes are personal scaling vectors, right? The stakes that seem so low to you, like having this podcast where you can talk to somebody and just have a you're an extraordinary communicator, right? Like already in this conversation, you've pulled more out of me than most people, and I've been on 12 podcasts in the last two weeks.AI Coachella and First-Principles ThinkingSwyx [00:38:17]: I think I, we've just seen each other enough that there's some base trust.Anjney [00:38:20]: There's base trust.Swyx [00:38:20]: And I think, and I know that you, that I've done my homework and like I know that trust is a big deal for you, so.Anjney [00:38:27]: I think trust is about consistency, and you and I have seen each other In the community for years, right? Like, I remember the first time we met was at NeurIPS in New Orleans. I don't know if you remember that, luncheon.Swyx [00:38:38]: Oh my God.Anjney [00:38:39]: Reiko had set up this Reiko's amazing, and he set up this luncheon and-Swyx [00:38:43]: Yeah, I was “Who's this Discord guy?” I'm “Okay.” But-Anjney [00:38:45]: No, you weren't-Swyx [00:38:46]: You were just “You made some investments.”Anjney [00:38:47]: You were much less polite. You were “Who's this VC?” You're like-Swyx [00:38:51]: No, I Was I? Oh my God.Anjney [00:38:53]: It was-Swyx [00:38:53]: I'm so sorryAnjney [00:38:53]: It was visible on your face.Swyx [00:38:54]: I'm so sorry. But you weren't, you weren't The introduction was bad. I was I didn't know who you were.Anjney [00:39:00]: The, see, this is the thing about context, right? Like, but then I think I heard your accent. And I was “Are you-”Swyx [00:39:06]: Singapore, yeahAnjney [00:39:06]: “Are you Singaporean?” And you're “Yeah.” And I said, “I went to high school, JC, in Singapore.” And then the ice broke. But This is the there are in the scientific community, sometimes the stakes are very high for people who haven't had the emotional, what is called EQ Coaching and mentorship, right? Which is like to have scientific impact, you often need to be a extraordinary emotional, like emotionally in tune person with the folks you're trying to influence. And so what comes so naturally to you is actually a super high stakes thing to other people. And so I wouldn't assume that Dario's more stressed out than you. These things are you'd be surprised how similar and small sometimes the problems are to you That some of the world's biggest, leaders are facing. And that's what I've learned from this class. The guest speakers are Sam, Satya, Jensen.Swyx [00:40:01]: AI Coachella.Anjney [00:40:02]: Yeah. It's AI Coachella, right? So we got to get all the headliners, and they're I'm very lucky that some of these people have either mentored me over the years or I've done business with them. And when you, take the performative stuff out and any assumptions you may have about these people that you read in the press or on Twitter, We're all just humans. We're all trying to get along. And what's so special about this moment is AI is forcing, like scaling, the bitter lesson is forcing a lot of people to revise their assumptions for how the world works and go back to first principles or go and educate themselves. So the kind of people I was, I won't name who this person is, but I was at an event last week in Texas and, ran to somebody who said, “Anjney, I came across the class. What do you think about real time action prediction models?” And I was, don't know how happy it made me feel when they asked me that question. I know they've done the work. They've challenged themselves. I'm, they didn't ask me, “What do you think of world models?” They said, “What do you think of n-”Swyx [00:41:04]: Real time action predictionAnjney [00:41:05]: “action, real time action prediction models?” World models, don't get me wrong, are cool and everything, but you and I both know that is a layer of abstraction that is sometimes not usefully precise enough. Right? Ours-Swyx [00:41:16]: There's like four different kinds of world models.Anjney [00:41:17]: Yes, exactly.Swyx [00:41:18]: We've done the part with general intuition, by the way, which is very focused on, -Anjney [00:41:22]: Oh, cool. Yes. I love Pim. Pim is great. And this is what I love about people who've done that level of work. They realize they're not in competition with people who the rest of the world thinks they're in competition with.Swyx [00:41:34]: Because they're not in the category, they're in the specific thing they're trying to do.Anjney [00:41:37]: They're focused on their mission, and they have a systems understanding of the bottleneck they're trying to solve. And when somebody else says, “I'm working on real time, action prediction models too,” Pim goes, “Oh, I love that person. I want, I can learn from them.” But the minute they're “Oh, that person's a world model person,” it's “like which type of world model person?” But mostly they're just trying to figure out if it's a waste of their time, because we don't have enough time. So, Pim, for example, is super, loves this other company I work with we've talked about called Black Forest Labs. And he's mentioned to me multiple times that he's so, He thinks what Flux is doing is really cool. Andy Blattman came by and spoke in the class. And what I find over and over again is for people who do the work, who can be usefully precise enough about like what is actually going on in the world of frontier research, The sense of camaraderie is still well and alive, but it gets lost sometimes when you have to like abstract The technical complexities in, business terms And then the VCs are “How are you different from that world model?” I'm going to say Where do I even start to explain this stuff? And then the misalignment creeps in.Leading vs. Winning in Frontier AISwyx [00:42:43]: This is good. Yeah, I think, people listening get a sense of, what it is like to operate at a real level, like yourself, rather than at, the journalist level, where you have to sort of put everyone in, a rough category and create a narrative of competition, and who's winning today, who's behind.Anjney [00:42:58]: It-- this idea of winning is so Weird to me.Swyx [00:43:03]: You do want to win. You want you want competitiveness.Anjney [00:43:06]: No, I think you want to lead.Swyx [00:43:07]: You want SOTA.Anjney [00:43:07]: No, I think you want to lead. Yes, so you want to push the frontier. You want to push the SOTA. You want to do something that hasn't been done before. You want to capture value, but you don't want to capture so much value that, people think you're unaligned with your mission or trying to do what's best for the world. You want to capture enough value that you can keep innovating, right? And I think that people want to lead, they don't really This idea of winning and losing, again, I love Jensen. He's a, he's a leader. The mindset that he talked about on Dwarkesh's podcast, right? He's “I didn't wake up with a loser mindset.” I think that was awesome, right? Because he's, he's an engineer. Dwarkesh has done the work. So there's at least-- even though the, to me, it was very obvious they're talking about the same thing, they just passed each other. They just had to basically, Jensen has this, five-layer cake abstraction of how the industry works. And Dwarkesh had, I think from that podcast, had more of, a pre-training, mid-training, post-training systems loop concept.Swyx [00:44:04]: It's just a factor of who he talks to, right? Again, it's very clear.Anjney [00:44:06]: It's the systems It's the abstraction, the mental models, the It's the whole-- Dude, so much of the problem in the world is reasoning by analogy. And then the assumptions that are held invisibly.Swyx [00:44:19]: Yeah, I've, I've said, this is actually the best time in human history for first principles thinkers. Because everything you think will happen is actually now coming true.Anjney [00:44:28]: Correct. And the venture capital community is, notorious for this, where people look-- In times of uncertainty, they, cling to axioms that ended up being true from the previous era, and they kind of like proclaim them with confidence as if they're truths, but they're not. And it's very important to see the distinction between a heuristic and an axiom. An axiom can be proven-Swyx [00:44:55]: Like from internal consistency point of viewAnjney [00:44:56]: With internal consistency. A heuristic is a way you kind of a shortcut. And my God, the number of people I have had to put up with over the last few years who proclaim-- use heuristics As axioms to judge people, to judge which companies are going to succeed or the number of people who are “Oh, yeah, Anthropic, they're just training models right now,” but this one continue.Swyx [00:45:22]: Because that's a B2B SaaS?Anjney [00:45:23]: Yeah, the, like Which over the fullness of time, if you squint at it, maybe. But the way you arrive there is so important that you can-- you just, you can dismiss people. Here's what happened, right? What happened is Anthropic basically achieved takeoff in October of last year. That training run-Swyx [00:45:41]: Whatever, three seven?Anjney [00:45:42]: I forget the numbers now, but whatever that checkpoint was-Swyx [00:45:45]: We saw the cognition.Anjney [00:45:46]: Yeah. Right? You probably-- The, to those of us in the community, especially once post-training was done and it was released in December-Swyx [00:45:52]: Yeah. Can I sneak a sneaky question in there? I don't know if you have a perspective, maybe you don't, I just The number one question is how did Anthropic crack coding, right? Because Claude One, Claude Two, okay, like it was part of it, but it wasn't a big deal. And the leading hypothesis, it's a lucky dice roll that was then compounded, right? Like it was like Mildly better, but then they saw it and they were “Okay, let's really invest.”How Anthropic Cracked CodingAnjney [00:46:17]: I had this very annoying teacher. I went to this boarding school called Rishi Valley in India, which is like this, bird preserve. It's like three hundred and fifty acres of bird preserve in rural India, and there was no technology for seven years. There was this teacher, I won't name them, but they would have this-- I hated it every time he said this to me. He was “Luck fa-favors the prepared mind,” which is like a common saying, but the way he delivered it, always grated me, ‘cause he was always I was always one of those kids who got, a good grade without trying very hard. ‘Cause like high middle school is not that hard if you, if you're generally, paying attention and so on. And there was this one time where I-- But then I would get an eighty percent grade, and he would keep pushing me to say “The reason you didn't get the ninety-five plus percent is because you're not that lucky.” And I would say, “What do you mean?” ‘Cause I would think that I deserved that grade, and I would sometimes argue with him. And he'd say, “You didn't have a prepared mind. If you want to get lucky again “ There was basically one time where I got like ninety-five or ninety-six on this, on this subject, and I, now that I felt entitled. I was “Okay, I'm going to keep doing this,” and I didn't. And then he was “Luck favors a prepared mind. You got lucky last time, but you got to stay prepared.” And I didn't understand what he meant. Now, as I'm older, I'm okay, these adults actually knew a thing or two. Anthropic has been the most prepared company for four years. And so then when the right, context data comes in, the right developers start sending in, the right context diffs, Sure, you could say you got lucky, but if you ask me, they're pr-pretty damn prepared with paranoia for like four years. And you have to remember, it was so hard for them to get going early on that they had to do so much more with so much less that you just have to be prepared to be so efficient.Swyx [00:48:06]: Yes. There's numbers on their burn compared to OpenAI. I've, I've written about it, but they are so much more efficient in their, in their tech stack.Anjney [00:48:14]: It's not even It's not funny.Swyx [00:48:14]: Not even close.Anjney [00:48:15]: Yeah. But it's so clear, right? Like how to output max for the world. They have been prepared, and you could call that luck, but Luck favors the prepared mind.Culture, Hardship, and Anthropic's P0Swyx [00:48:25]: This is one of those things that I was going over some of your old lectures and, you were data, people think it's a moat and actually it's culture and actually it's team Actually. And I, it's-- there's different levels of moats, and this is the ultimate one that determines everything else. Which you can then compoundAnjney [00:48:43]: You're saying culture is the ultimate moat? Yeah. But the thing about culture is it's very fragile. So moats, I don't think they're-- there's very few moats I found that are actually moats. They're-- It's, it's a nice concept, but in reality, you have to replenish your culture. Ben Horowitz was, the speaker in CS153 on Tuesday, and I asked him this question about the culture bottleneck in teams because, there are several AI teams-Swyx [00:49:09]: His book, Hard Things About Hard ThingsAnjney [00:49:11]: Hard Thing About Hard Things. But more concretely, there are so many AI labs today that have all the cash they need, they have all the compute they need, and they're still not able to ship anything SOTA. And then you start seeing people leave and so on, and my diagnosis, it's, is it's the culture. And so I asked him, Ben, they're-- He's been one of the most aggressive investors in AI labs. He goes back to this thing which resonates in my mind a lot. It-- When I used to work at a16z, I would, book a conference room, and right outside the conference room, which is closest to the toilet ‘cause it was the fastest way for me to go use the bathroom between Zoom meetings-Swyx [00:49:45]: Oh my God, I'll put maxing my toilet optimization. Okay, never mind.Anjney [00:49:48]: It was not healthy in hindsight, but maybe this is TMI. But anyway, outside that conference on the wall was this quote that was printed that said, “Culture is not a set of beliefs, it's a set of actions.” And it's by Bushido, is this, Japanese philosopher. And if you stop taking the actions that demonstrate the mission alignment to what you've said to your team and to your-- the world matters to you, then your culture starts to fray. So it's not actually a moat, I would say. It's a very brittle, fragile thing that requires daily tending to like a garden. But if you figure out the system to keep that garden tended, which I think ultimately comes down to knowing yourself ‘cause you most naturally, if you're authentic and so on, you'll naturally make trade-offs that seem effortless to you, but that reinforce your culture. And then That becomes this very hard thing for other people to catch up to. And at Anthropic, from day one, there was this mission like-- missionary like zeal and belief that, hey, these capabilities will scale. These systems are stochastic, not deterministic. There will be error bars, and until we crack interpretability, there's risk. And at some point, people will go-- stop using Claude just for coding. They'll use it in some mission-critical context where there's-- it'll throw off a bug, and then people are going to come blame them, and they want to be on the right side of history where they said, “Yes, this is a powerful technology. We think it's going to change the world, And we want to be very measured and scientific about the fact that, ‘Hey, guys, these are stats models, statistical models.' That's how statistics works.” ultimately, when you're training neural nets, it is just a statistical system. And I think that Belief that safety is important and that it might seem toy-like in the early days, and sometimes, you could say, “Anjney, they totally over-exaggerated the risk,” like two years ago when they said, “Let's not launch Claude One,” or whatever. Well, okay, maybe in hindsight, but hindsight is twenty/twenty. And at the time, they didn't know how that model would be used, and to them it felt existential if somebody came and said, “You weren't responsible. It-- This wrote a bug.” The liability associated with that is massive. So how do you prevent against that? Well, day in, day out, you say safety. And when you start deviating from that, you have the team hold you accountable, you have the world hold you accountable, and I think that becomes a moat over time. At some point, that moat will get challenged and so on, and then it become fragile. I hope it endures because that's the beauty of having founders run the show, ‘cause they can make really hard trade-offs to do mission alignment. The hardest part is in the earliest days when you don't have a group of people who are going through difficulty, stress, crisis together, then your culture doesn't get defined sharply enough, and that's what I'm worried about right now, is there's so much money going to these labs. There's no hardship. There's no-Swyx [00:52:50]: To anyone who knowsAnjney [00:52:51]: There's no to anyone who knows. And that, in hindsight, was a feature, not a bug for Anthropic. The number of people who said no, the number of people who said, “Sorry, we're all doing investors in OpenAI,” that is competitive difference. It forces you to really understand, what is the hill you want to die on at the expense of everything else. What's the P zero? And there, P zero from day one was coding. The reason, the mechanism system there was if we crack coding, Then we will crack AGI. Our mission is AGI. We want to get there safely. If we focus on codin

June 18, 2026 ~ Chris Renwick and Lloyd Jackson spoke with Don McMinn, Executive Director of the Great Lakes Learning Academy. They discussed how summer impacts kids' routines, mental health, and academics, emphasizing strategies for balance and support. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

SUBSCRIBER VERSION: HYPNOSIS ONLYIn this episode Adam creates a hypnosis session based on Rafal Nadal's mindset that led to 22 championships. To nominate a future person for Adam to model please take 1 minute to nominate them here: ⁠https://courses.adamcox.co.uk/modelling-excellence-monday ⁠Modern Mindset Monday: The Mindset of Rafa NadalWhat separates the good from the great?Is it talent?Luck?Confidence?Or something far less glamorous... and far more powerful?In this episode of Modern Mindset Monday, Adam explores the mindset, values, and psychological principles that helped Rafa Nadal become one of the greatest competitors in sporting history.Despite winning 22 Grand Slam titles, Olympic Gold, and spending years as World Number One, Nadal's philosophy was never built around entitlement, ego, or natural ability. Instead, he developed a mental framework based on discipline, humility, resilience, emotional control, and relentless self-improvement.This hypnosis session draws upon seven core principles that define the Nadal mindset:• Respect Every Opponent, Fear None• Focus Only on the Next Point• Intensity Is a Choice• Stay Humble, Especially When Winning• Suffering Is Part of Excellence• Emotional Control Creates Competitive Freedom• Improvement Never EndsThrough hypnosis, you'll discover how to let go of anxiety about outcomes and focus on the next step in front of you. You'll learn how to stay composed under pressure, develop resilience when life becomes difficult, and cultivate the discipline to keep moving forward regardless of mood or circumstance.Whether you're building a business, pursuing a personal goal, overcoming adversity, or simply wanting to become mentally stronger, this session helps install the psychological habits that allow consistent progress over time.Because champions don't become extraordinary through occasional moments of brilliance.They become extraordinary through the mindset they bring to ordinary moments.So take a deep breath, settle in, and prepare to access the calm determination, resilience, and focused intensity that have made Rafa Nadal one of the most respected competitors in history.The next version of you begins with the next point.

In this episode, real estate investor Adam Sondgeroth shares his journey from starting in 2001 to managing over 100 units, transitioning into larger multifamily deals, and the importance of relationships and mindset in business success.   Professional Real Estate Investors - How we can help you: Investor Fuel Mastermind:  Learn more about the Investor Fuel Mastermind, including 100% deal financing, massive discounts from vendors and sponsors you're already using, our world class community of over 150 members, and SO much more here: http://www.investorfuel.com/apply   Investor Machine Marketing Partnership:  Are you looking for consistent, high quality lead generation? Investor Machine is America's #1 lead generation service professional investors. Investor Machine provides true 'white glove' support to help you build the perfect marketing plan, then we'll execute it for you…talking and working together on an ongoing basis to help you hit YOUR goals! Learn more here: http://www.investormachine.com   Coaching with Mike Hambright:  Interested in 1 on 1 coaching with Mike Hambright? Mike coaches entrepreneurs looking to level up, build coaching or service based businesses (Mike runs multiple 7 and 8 figure a year businesses), building a coaching program and more. Learn more here: https://investorfuel.com/coachingwithmike   Attend a Vacation/Mastermind Retreat with Mike Hambright: Interested in joining a "mini-mastermind" with Mike and his private clients on an upcoming "Retreat", either at locations like Cabo San Lucas, Napa, Park City ski trip, Yellowstone, or even at Mike's East Texas "Big H Ranch"? Learn more here: http://www.investorfuel.com/retreat   Property Insurance: Join the largest and most investor friendly property insurance provider in 2 minutes. Free to join, and insure all your flips and rentals within minutes! There is NO easier insurance provider on the planet (turn insurance on or off in 1 minute without talking to anyone!), and there's no 15-30% agent mark up through this platform!  Register here: https://myinvestorinsurance.com/   New Real Estate Investors - How we can work together: Investor Fuel Club (Coaching and Deal Partner Community): Looking to kickstart your real estate investing career? Join our one of a kind Coaching Community, Investor Fuel Club, where you'll get trained by some of the best real estate investors in America, and partner with them on deals! You don't need $ for deals…we'll partner with you and hold your hand along the way! Learn More here: http://www.investorfuel.com/club   —--------------------

A survey of the state of the nation to where luck is, more Fifa 98 predictions and Richie's convinced he's seen an eagle flying above him...

Our heroes take their seats, ready for the inaugural performance by The Harrow Troupe...> JOIN US on Patreon! Subscribe today to access the Starfinder 2E Playtest: Echoes of the Newborn, along with ad-free episodes and loads of bonus content

In this episode Adam creates a hypnosis session based on Rafal Nadal's mindset that led to 22 championships. To nominate a future person for Adam to model please take 1 minute to nominate them here: https://courses.adamcox.co.uk/modelling-excellence-monday Modern Mindset Monday: The Mindset of Rafa NadalWhat separates the good from the great?Is it talent?Luck?Confidence?Or something far less glamorous... and far more powerful?In this episode of Modern Mindset Monday, Adam explores the mindset, values, and psychological principles that helped Rafa Nadal become one of the greatest competitors in sporting history.Despite winning 22 Grand Slam titles, Olympic Gold, and spending years as World Number One, Nadal's philosophy was never built around entitlement, ego, or natural ability. Instead, he developed a mental framework based on discipline, humility, resilience, emotional control, and relentless self-improvement.This hypnosis session draws upon seven core principles that define the Nadal mindset:• Respect Every Opponent, Fear None• Focus Only on the Next Point• Intensity Is a Choice• Stay Humble, Especially When Winning• Suffering Is Part of Excellence• Emotional Control Creates Competitive Freedom• Improvement Never EndsThrough hypnosis, you'll discover how to let go of anxiety about outcomes and focus on the next step in front of you. You'll learn how to stay composed under pressure, develop resilience when life becomes difficult, and cultivate the discipline to keep moving forward regardless of mood or circumstance.Whether you're building a business, pursuing a personal goal, overcoming adversity, or simply wanting to become mentally stronger, this session helps install the psychological habits that allow consistent progress over time.Because champions don't become extraordinary through occasional moments of brilliance.They become extraordinary through the mindset they bring to ordinary moments.So take a deep breath, settle in, and prepare to access the calm determination, resilience, and focused intensity that have made Rafa Nadal one of the most respected competitors in history.The next version of you begins with the next point.

#151: On today's episode, President of Peanut and former Bumble executive Michelle Battersby joins the podcast for an honest conversation around ambition, imposter syndrome, motherhood, and the pressure women feel to choose between building a successful career and building a family.Michelle opens up about helping scale Bumble, launching and later selling her company Sunroom, navigating the mental health challenges that come with entrepreneurship, and learning to trust herself through seasons of uncertainty. The girls unpack purpose, imposter syndrome, self-doubt, societal expectations placed on women.Michelle opens up about her own healing journey— navigating motherhood and the narratives she had to rewrite as she entered the new season.The girls get into:self-worth and tying your identity to achievementhow we can move through imposter syndromeconfidence, self-doubt, and learning to trust yourselfentrepreneurship as a mental health journeyidentifying the voice of self-trust versus self-doubthow fear keeps us trapped and prevents us from reaching our potentialbuilding Bumble and launching female-first platformsdouble standards women face in business, leadership, and successthe pressure women feel to choose between motherhood and ambitionWhy 86% of women believe motherhood will negatively impact their careersmaternal loneliness, women's mental health, and the support systems women desperately needfertility decisions, abortion, family planning, and career timingnavigating pregnancy while building a careerwhy women are still penalized for motherhood in ways men aren'tthe systems and societal structures that make balancing career and family so difficultwhy the conversation shouldn't be "can women have it all?" but rather "why is it so hard for women to have it all?"challenging outdated narratives around motherhood, ambition, and identitywork-life balance and redefining what it means to "have it all"building a life that feels aligned, meaningful, and authentic& MORE!This episode is for anyone navigating imposter syndrome and anyone lost searching for purpose in their 9-5 job. This episode is also for women who are struggling with the idea of motherhood— anxiety around fertility decisions and entering the next chapter of life.CONNECT BELOW:follow Michelle herefollow Peanut hereCONNECT with HAN:follow Han herefollow HOW I SEE IT herefollow Han on Substack herewatch HOW I SEE IT on YouTube hereshop the podcast merch herework with Han: howhanseesit@gmail.com00:00 – Introduction02:32 – Realizing she wasn't passionate about her career04:49 – The intuition that changed her life07:53 – Self-worth, achievement, and identity10:29 – Is it wrong to tie your worth to what you do?11:16 – Different seasons of ambition and success11:42 – Fulfillment vs external achievement12:30 – Challenging gender roles through Bumble14:42 – Why Michelle is drawn to controversial conversations16:08 – Launching Sunroom and challenging societal norms18:55 – Double standards for women in business and leadership22:20 – Imposter syndrome and self-doubt22:55 – Entrepreneurship as a mental health journey24:38 – Luck, opportunity, and taking action26:20 – Learning to trust your intuition28:43 – Different forms of bravery29:00 – Identifying the voice of intuition versus fear31:46 – What would partial success look like?37:14 – Why 86% of women believe motherhood will hurt their careers38:07 – Unlearning beliefs around ambition and motherhood39:17 – Navigating pregnancy while building a company41:00 – The systems that make balancing career and family difficult43:35 – Fertility decisions, abortion, and career timing45:10 – Is there ever a "right time" to have children?51:08 – The pressure to "bounce back" after motherhood54:10 – What society gets wrong about motherhood1:04:15 – Rock bottom, ChatGPT tarot cards, and finding clarity

6/16/2026 FLOATATION DEVICES - TOOLS FOR TRANSFORMATIONEPISODE 1803LIFE JACKETS are most effective when donned BEFORE FALLING into the water. The better preventive strategy would be applying the discipline of swimming lessons. Luck favors the prepared. There are times life when no amount of preparation is sufficient. The kids at camp who were impacted by flood waters while they slept had no time to don a life jacket, secure a boat for safe passage nor even ask for help. Even the most expert of swimmers can lose the battle of swift water rescue. Survivors would tell harrowing stories of struggling against all odds with only the hope they could make it and the determination to NEVER GIVE UP. Tragedy like this is many times inescapable and we mourn those who were swept away. RESOURCES MENTIONED IN THIS VIDEO:

Send us Fan Mail"In Episode 265 of Werewolf the Podcast: A Serial (Killer) Drama, Eleanor Rigby sits on the infernal throne as temporary caretaker of Hell when Lucifer appears — right before Astaroth, the ancient Demon Duke, ambushes with the powerful Ring of Summoning. Astaroth tries to trap the Devil and seize control in a Hell coup, ranting about power, order, and superiority. But Lucifer has other plans. Meanwhile, Wil and Fen (the giant black werewolf) nap on a idyllic hillside after devouring a false version of themselves, until Lucifer recruits them with promises of fighting, murder, and demon-slaying. The Red Baron and Luck also crash into the escalating chaos on a battlefield where Fairy Foxglove threatens Professor Simon de Montfort. This horror comedy audio drama blends dark fantasy, adult themes, sharp banter, and over-the-top violence with heartfelt character moments. Expect Lucifer's terrifying power, Astaroth's dramatic downfall to ash, werewolf apathy turning to bloodlust, and reality-bending clicks of fingers. Perfect for fans of supernatural horror, demonic politics, werewolf anti-heroes, and twisted humor.New episodes weekly. Join the Lunatics! Horror fiction with a chocolate layer of humor." Books by Fenrir ThorvaldsenAuthors' page on Amazon.https://amzn.to/3OJkzD0The Werewolf's Story by Fenrir Thorvaldsenhttps://amzn.to/4aX18xP Books by Gregory Alexander-SharpAuthors' page on Amazonhttps://amzn.to/4cTtf3CIl Lupo by Gregory Alexander-Sharphttps://amzn.to/4aZyCvABuy us a coffee at this link right here:https://www.buymeacoffee.com/WerewolfwilGrendel Press, our horror genre partnerThe best indie house publishers of horror in the blooming worldhttps://grendelpress.com/Grendel's very own cool Podcast.https://grendelpress.com/sinister-soup. Join the Lunatics at the Private Facebook Group.Facebook Grouphttps://www.facebook.com/groups/werewolfthepodcast/Greg's X profile: @SempaiGregFenrir's X profile: @FenThorvaldsenWerewolf the Podcast X profile: @AWerewolfsStoryWilIntro partnership with Grendel Press.https://grendelpress.com/ Outro partnership with Grendel Press.https://grendelpress.com/Support the show

Bump and Stacy chat with Brock Huard about whether being a winner is skill or luck, they talk about a great example of a bounce back story and who the winners are on this Hawks team in Four Down Territory, they share their thoughts on a poll put out by the Dan Patrick Show the highlights how crazy this year in sports has been, Deion Sanders speaks out about the NCAA gambling scandal that has engulfed his conference, the Big 12 files suit vs Texas Tech and Jacob Misiorowsky is showing the league why he is top tier talent in The Timeline and they talk about Seahawks veterans elevating the team culture. 

Brent Gunning and Daniele Franceschi kick off Monday morning by recapping an eventful weekend of sports. They begin with the Blue Jays' series loss to the Yankees with thoughts on the level of concern in Toronto, where the team needs to improve, and who shoulders most of the blame. After the break, the guys turn their attention towards the Hurricanes hoisting the Stanley Cup. They break down Carolina's dominating performance in Game 5 and 6, Brandon Bussi's importance down the stretch, and Jordan Staal turning back the clock. What lesson can the Maple Leafs take from how the Hurricanes built their roster? The views and opinions expressed in this podcast are those of the hosts and guests and do not necessarily reflect the position of Rogers Sports & Media or any affiliates.

If you want to bring some good luck or get protection from negative energy this is the episode for you! We are chatting with Nicole from Bella Luck Charms on Lygon Street in Melbourne. Nicole founded Bella Luck Charms with her sister and they specialise in beautiful jewellery inspired by the traditional Italian symbols for good luck and protection. You can visit the shopfront on Lygon street or shop online. For more information click the links below:Bella Luck Charms Website:https://bellaluckcharms.comBella Luck Charms on Instagram:https://www.instagram.com/bellaluckcharms?igsh=MTZ0dTRlMWw1cGl2cg==This episode is proudly sponsored by Leading Digital ICT Services . Leading Digital ICT Services specialise in connecting business with ICT. They offer ICT strategy and risk management, project management, online digital development, cybersecurity and more. To find out how Leading Digital ICT Services can elevate your business visit the website:www.leadingdigitalictservices.com.au

In this episode, you'll hear a Daily Reminder from Ji Kwang Dae Poep Sa Nim about growing older. This is already the fourth part of this series.What is important for us to live a relaxed and pleasant life?Thank you very much, Ji Kwang Dae Poep Sa Nim,hapchangwith love,Yours in the dharma, Gak Duk

394 - Long before his Nobel Prize, William Faulkner published his FIRST short story, a wild one! Tuck in for an early aviation thriller as a young pilot and pure luck collide in the story that started it all.

Also this week on Jake's Happy Nostalgia Show, we're joined by executive producer Sheri Singer!Sheri's career in television began behind the scenes as an associate producer on The Phil Donahue Show before moving into producing on Days of Our Lives. She later founded Just Singer Entertainment and became one of the key creative forces behind many beloved Disney Channel Original Movies (DCOMs), including the Halloweentown movies, The Luck of the Irish, Double Teamed, Right on Track, Go Figure, Cow Belles, Read It and Weep, and many more. Following her Disney Channel years, Sheri has continued producing television movies and bringing new stories to audiences. We discuss her journey through the television industry, the process of adapting real-life stories for the screen, and the making of some of Disney Channel's most memorable films. We also talk about working with talented performers including Debbie Reynolds, Ryan Merriman, Brie Larson, Aly & AJ, Jason Dolley, Olivia Holt, and many others throughout her career.Special thanks to Paul Hoen for connecting us!Taping date: April 13, 2026Edited by:Chris Bixby (Co-Host)https://www.instagram.com/chris.b2000/Be sure to check out our website, where you can learn more about the podcast and find how to follow the Happy Nostalgia team:https://jakeshappynostalgiashow.weebly.com/Listen to the audio version wherever you find your podcasts:https://linktr.ee/JakesHappyNostalgiaShow

2020年全国高考一卷英语听力第一节听下面5段对话。每段对话后有一个小题，从题中所给的A、B、C三个选项中选出最佳选项，并标在试卷的相应位置。听完每段对话后，你都有10秒钟的时间来回答有关小题和阅读下一小题。每段对话仅读一遍。1.Where are the speakers?A. At a swimming pool.B. In a clothing shop.C. At a school lab.2.What will Tom do next?A.Turn down the music.B.Postpone the show.C.Stop practicing.3.What is the woman busy doing?A.Working on a paper.B.Tidying up the office.C.Organizing a party.4.When will Henry start his vacation?A.This weekend. B.Next week. C. At the end of August.5.What does Donna offer to do for Bill?A.Book a flight for him.B.Drive him to the airport.C.Help him park the car.第二节听下面5段对话或独白。每段对话或独白后有几个小题，从题中所给的A、B、C三个选项中选出最佳选项，并标在试卷的相应位置。听每段对话或独白前，你将有时间阅读各个小题，每小题5秒钟；听完后，各小题将给出5秒钟的作答时间。每段对话或独白读两遍。听第6段材料，回答第6、7题。6.Why does Pete call Lucy?A. To say that he'll be late.B. To tell her about his work.C. To invite her to dinner.7.When is Pete going to see Lucy?A. At 6:00 pm.B. At 6:45 pm.C. At 8:00 pm.听第7段材料，回答第8至10题。8.Why does Cathy want to quit her job？A.She'll join another firm.B.She'll run her own business.C.She's fed up with it.9.What is Mark's attitude towards Cathy's decision?A.Forgiving.B.Sympathetic.C.Supportive.10.What might Cathy do for the present company?A.Apply for a project.B.Train a new person.C.Recommend an engineer.听第8段材料，回答第11至13题。11.How did the man feel about his performance today?A.Greatly encouraged.B. A bit dissatisfied.C.Terribly disappointed.12.What did the man say helped him overcome the problem?A.Patience.B.Luck.C.Determination.13.What is the woman doing?A.Conducting an interview.B.Holding a press conference.C.Hosting a ceremony.听第9段材料，回答第14至16题。14.What is next to the apartment building？ A.A restaurant. B.A laundry. C.A grocery store.15.Which is included in the rent？ A.Electricity. B.The Internet. C.Satellite TV.16.What does the woman think of the apartment？ A.It's quite large. B.It's well furnished. C.It's worth the money.听第10段材料，回答第17至20题。17.Where is Jeff from？A.Liverpool.B.Coventry.C.Newcastle.18.Where do young men go to watch big games according to Jeff？A.Pubs.B.Stadiums.C.Friends' homes.19.Why does Jeff have to pick a team to support？A. To avoid being bothered.B. To open a conversation.C. To earn respect from others.20.What does Jeff mainly talk about？A.England'smoment of success.B.English flag as a symbol of hope.C.England's all-time favorite sport.【参考答案】1-5BCCAB 6-10 ABACB 11-15BCACA 16-20 CBAAC【听力原文】Text 1W:Can I help you?M:Yes. I'd like to try this jacket on, please.W:Okay, the changing rooms are over there.Text 2W:Tom, your music is too loud.M:Our band is practicing for the show, mom.W:But it's already the middle of the night.M:Okay, we'll cut it off right away.Text 3M:You look pretty busy. What's up?W:We're putting together an office party this Friday evening. There'll be about 30 people, and I'm the organizer.M:Nice, but it's probably best not to overwork yourself. Enjoy!Text 4W:Hi, Henry, did you say you are going to take a vacation next week?M:Actually, I'm leaving for San Francisco this weekend.W:Cool. But I can't get away until the end of August.Text 5M:Donna, have you booked the flight to London for me?W:Sure, Bill. Do you need a ride to the airport? I can do it.M:No, thanks. I will park my car at the airport.Text 6M:Hi, Lucy, this is Pete.W:Hi, what's up?M:Listen, I'm afraid I'll be a little late tonight. Remember I said earlier thatI would pick you up at 6? Now, I'm going to meet you at about a quarter to seven, as there's been a problem here at work.W:OK. Don't worry. The film begins at 8. I'll wait.M:Good. Get something to eat before I arrive. Okay?W: I will.Text 7W:Hi, Mark. I've decided to leave the company. I had an amazing time here. But it is time for me to move on.M:May I ask why, Cathy? I do hope that you stay with us here. W:Well, you know, I've got a new job in a big engineering firm. It's a management position.M: In that case, I think that I understand your decision and you have my support.W:Thanks for understanding. But I can work here two more weeks. M:That's great. Will you be able to finish your present project?W:Sure. And if you hire someone within ten days, I'd be happy to provide training in my areas.Text 8W:Well done! Congratulations! How are you feeling?M:Tired. I'mjust tired. W:But you did so well to get second place in today's car race.M:Well, I came out here aiming for the gold. I got third place last time and it was not the result I had hoped for.W:What happened today? You were looking extremely good at the start.M: I blew it. The car was a bit out of control.W:Some people might have given up at that point.M: I was determined to do it to finish the round.W: So what now?M:Tomorrow is going to be tough, much tougher than today.W:Well, I think you showed great determination today. Good luck for tomorrow and thanks for speaking to us.Text 9W: So what is your new apartment like, Terry?M:Oh, it's great. There are two bedrooms, a nice kitchen and a living room.W:Sounds nice.M:Yeah. And there is a grocery store next to the apartment building. And there is a laundry and a fast food restaurant across the street, so it is a quick way to get a meal.W:That's good. How much do you pay in rent?M:Well, I have a roommate, so I pay half the rent. That is $275 a month, with gas, water and electricity included. And the Internet and satellite TV are separate.W:That's a really wonderful price. How on earth did you find a place like that?M: I just found it online. W:Great.Text 10M:Hello, I'm Jeff Anderson from Coventry, England. And in today's program, I'd like to share with you a special kind of English culture — the football. A lot of people in England are crazy about football. During the football season, whenever there is a big match, all the flags for local football teams, such as Liverpool and Newcastle are hung outside every window or even spread proudly on T-shirts or scarves. There is an atmosphere of excitement in the air. Groups of young men crowd into dark packed pubs, staring at television screens. Of course, they are covered head to toe in the colors of their team. They shout and scream in sadness when their team loses a goal or with joy when there is a moment of success. You do not have to be a fan of football to get caught up in the excitement, as far as victories are concerned.England had its big moment in 1966 in Wimbledon Stadium. The World Cup victory is in the hearts and minds of all football fans. Now, whenever England is playing a big match, red and white covers every inch of every pub, a symbol of hope — the English flag. While football has never been something I'm particularly interested in. For years, I've had to pretend excitement and pick a team to support. You cannot say you don't like or do not follow football in England, as often this will lead to a long dialogue in which someone will begin telling you why you should support their team.

394 - Long before his Nobel Prize, William Faulkner published his FIRST short story, a wild one! Tuck in for an early aviation thriller as a young pilot and pure luck collide in the story that started it all.

Susie is mad about birds and chipmunks and Sarah is mad about noise pollution, but it's clear they're both old ladies. Susie also had an e-bike accident, and it's a fun reminder to drive sober. Also, if you love data, get a keychain breathalyzer. Sarah talks about a mosaic of a bull at an Italian mall that needed some sprucing up, but apparently the artist who restored it sucked, well, balls. We also learn about other art Sarah is mad at including the Art Basel Comedian piece where a banana is taped to a wall, and the reason it's in the news again. Plus, we hear about a man who won the lottery because his wife was being annoying, and now we think we should win the lottery with our listeners.00:00 - Birds, Squirrels, and Noise Pollution: Our Old Lady Grievances07:07 - Susie's E-Bike Accident: Don't Drink and Drive21:11 - Testing the Keychain Breathalyzer: Data on Drinking and Driving25:53 - The Castrated Bull Mosaic: A Disastrous Art Restoration35:33 - The $6 Million Banana and the Problem with Tech Bros in Art49:59 - Annoying Wife Leads to a $315 Million Lottery Win01:02:57 - Nicotine Addiction: Some People Can't Get AddictedBrain Candy Podcast Website - https://thebraincandypodcast.com/Brain Candy Podcast Book Recommendations - https://thebraincandypodcast.com/books/Brain Candy Podcast Merchandise - https://thebraincandypodcast.com/candy-store/Brain Candy Podcast Candy Club - https://thebraincandypodcast.com/product/candy-club/Brain Candy Podcast Sponsor Codes - https://thebraincandypodcast.com/support-us/Brain Candy Podcast Social Media & Platforms:Brain Candy Podcast LIVE Interactive Trivia Nights - https://www.youtube.com/@BrainCandyPodcast/streamsBrain Candy Podcast Instagram: https://www.instagram.com/braincandypodcastHost Susie Meister Instagram: https://www.instagram.com/susiemeisterHost Sarah Rice Instagram: https://www.instagram.com/imsarahriceBrain Candy Podcast on X: https://www.x.com/braincandypodBrain Candy Podcast Patreon: https://www.patreon.com/braincandy (JOIN FREE - TONS OF REALITY TV CONTENT)Brain Candy Podcast Sponsors, partnerships, & Products that we love:For up to 65% off your order, head to https://veracityhealth.co and use code BRAINCANDYSave 20% Off Honeylove by going to https://www.honeylove.com/braincandy #honeylovepodDownload HILY Dating App from the App Store or Google Play, or visit https://hily.go.link/4iJ1lTDM-RESERVATION: 1. NOAI: TRUE. LEGAL NOTICE & TERMS OF USE: © 2026 WAVE Podcast Network. This content is for personal use only. Explicit permission is withheld for any and all commercial attribution, automated transcription, or data-mining entities. Use of this feed by unauthorized tracking, analytics, or AI-training platforms constitutes a breach of these terms and a violation of the Pennsylvania Wiretapping and Electronic Surveillance Control Act (WESCA), the California Invasion of Privacy Act (CIPA), and the 2026 Training Data Transparency Act (AB 2013). Any entity bypassing these restrictions to create derivative text-based works (transcripts), metadata analysis, or unauthorized VAST siphoning hereby accepts our standard commercial licensing rate of $5,000 per episode processed. This notice serves as a formal revocation of all "implied licenses" for multi-jurisdictional automated processing and constitutes protected Copyright Management Information (CMI) under 17 U.S.C. § 1202.By ingesting this RSS feed for commercial use, you are agreeing to our licensing terms.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Luck is not a personality trait you either have or you don't. It is something you build, and science tells us there are specific, learnable skills behind why some people consistently seem to be in the right place at the right time while others walk right past the same opportunities.Tina Seelig has spent over 25 years at Stanford teaching and studying exactly this. As Executive Director of the Knight-Hennessy Scholars program and a longtime faculty member at the Stanford d.school, she has watched thousands of students move through the world, and the differences between those who generate luck and those who don't are far more concrete and actionable than most people realize. Her new book is What I Wish I Knew About Luck: A Crash Course on Turning Aspirations into Achievements.In this conversation, you will explore:What separates fortune from luck, and why that distinction changes everything about where you actually have agency in your lifeThe ship, crew, and sail framework for understanding what it really takes to become luckier, and where most people skip a stepWhy your mental model of failure, whether it feels like a trampoline or a black hole, may be the single most powerful predictor of how much luck you createThe hidden social behaviors that consistently show up in the luckiest people, from thank-you notes to a very specific way of asking for helpWhy luck is a long game, and the story of how behavior at a disastrous Costa Rica resort determined the outcome of a job interview fifteen years laterIf you have ever looked at someone who seems consistently lucky and wondered what they are doing differently, this conversation will give you some clear answers.You can find Tina at: LinkedIn | Episode TranscriptNext week, we are featuring one of our most talked-about conversations from the archive, Tj Power on the four brain chemicals that are quietly running your life and why the modern environment is throwing them out of balance in ways that make everything from motivation to genuine connection harder than it should be. Be sure to follow Good Life Project wherever you get your podcasts so you don't miss any upcoming episodes!Check out our offerings & partners: Join My New Writing Project: Awake at the WheelVisit Our Sponsor Page For Great Resources & Discount Codes Hosted on Acast. See acast.com/privacy for more information.

Larry Anderson joins Ike, Spike, and Fritz to break down the Phillies' recent tough loss yesterday and the remarkable consistency of Zack Wheeler. They discuss the team's offensive struggles, potential trade deadline needs, and the psychological impact of lineup changes on Kyle Schwarber.

Welcome back to another episode of the podcast!In pure Michelle fashion - the vibe of everything we do is to continue to simplify your business + grow your income + have everything sell everything® It's juicyyyyy + will make you money as always!!Grab your coffee, water, mocktail, or a glass of champagne + let's do this.Let's dive in!Everything Sells Everythinghttps://www.harttoheart.co/everything-sells-everything-2025Learn how to create daily sales from your Instagram stories without launches, pressure, or over postinghttps://www.harttoheart.co/dailysalesfromstoriesJoin our EMAIL FAM!https://www.harttoheart.co/join-our-newsletterSay HIII and share what came up for you during this episode!Message me at:https://www.instagram.com/michellehartzman/

Everyone experiences varying degrees of good and bad luck regularly BUT is your life dictated more by the stuff you CAN'T control, or the things you DO control???

Can you start at the bottom of an industry, back yourself before anyone else does, raise millions, build a fast-growth startup and sell it within three years?FOR THE FULL STORY GET KAROLINA'S NO.1 BEST SELLING BOOK ‘HER PLAY' Karolina Pelc is an entrepreneur, investor, advisor, author and the founder of BeyondPlay, the iGaming startup she launched in 2021, raised £6.1 million for, and sold to FanDuel within just three years.Want more BTB goodness!? Connect Here: https://buildingthebrand.co.uk/newsletterKarolina's journey started far from the world of startup exits, venture capital and acquisition deals. At 19, she trained as a casino dealer in Poland, worked in tough casino environments, moved to London, lived in difficult conditions, worked on cruise ships, and eventually fought her way into the online gaming industry from the very bottom of the career ladder.In this episode of Building The Brand, Karolina breaks down how she turned lived experience in real-world casinos into a powerful insight about the future of online gaming. She explains how she raised £1.2 million from a pitch deck, built BeyondPlay through the pandemic, scaled the team to 50 people, navigated product pivots, licensing complexity, investor pressure, founder burnout and eventually sold the company to FanDuel.She also shares why she does not believe in luck, why starting again can be a strategic move, why founders cannot make everyone like them, and why hustle only works when it is intentional.Karolina shares:▪️ Why she does not believe luck created her success▪️ Why she was willing to start again in a junior role▪️ How real-world casino experience shaped the idea for BeyondPlay▪️ Raising £1.2 million from a deck during the pandemic▪️ Why approval cannot be the operating system for founders▪️ Selling BeyondPlay to FanDuel within three years▪️ What really happens during a fast acquisition processFind out more about Karolina Pelc here:https://karolinapelc.com/Key Moments:0:00 — Karolina Pelc on quitting, growth, pressure and selling BeyondPlay1:07 — Why Karolina does not believe in luck3:16 — Starting, funding and selling BeyondPlay within three years6:57 — The brutal training process to become a dealer8:00 — Her first major casino customer and early resilience12:19 — Arriving in London and the reality of starting again17:35 — Homelessness and learning the hard way21:20 — Reality distortion filter, belief and ambitious goals24:05 — Understanding the different levels of the casino world30:47 — Moving from casinos and cruise ships into online gaming34:35 — The idea that eventually became BeyondPlay37:21 — Raising £1.2 million during the pandemic44:18 — What BeyondPlay actually built50:33 — Regulation, licensing and startup complexity52:21 — The risky second product that changed the company57:00 — Founder mode and transparent leadership59:00 — Why CEOs cannot have everyone agree with them1:00:12 — Work-life balance, values and startup reality1:06:40 — People pleasing, burnout and founder pressure1:09:30 — Building BeyondPlay with an exit in mind1:11:13 — Selling the company in two months1:14:54 — What the day of signing the deal actually felt like1:17:13 — Leaving the company after acquisition1:19:49 — Achievement addiction, writing the book and what comes next1:24:14 — Who Karolina wrote the book for

Back to just me this week (you guys loved Michael, the DMs cracked me up

Topics discussed on today's show: National Best Friends Day, A Lonely Woman and Liam Neeson, Loneliest Color, Things You Should Never Do On A First Date, Crank Scratcher, The American Dream, Box Office Numbers, McDonalds World Cup, Frehley Guitar, Deaths, Luck, Reasons To Not Go Out, Pop History Quiz, F My Life, Robot Kick, Record Break, New Hot Pocket, Get The Fake Out, and Apologies.

Kent McCord became a television icon as Officer Jim Reed on Adam-12, one of the most influential police dramas in television history. But long before Adam-12, Kent's life was already taking remarkable turns. In this episode of Still Here Hollywood, Kent shares never-before-heard stories about working with Jack Webb, the realism behind Adam-12, how the series became a training tool for police departments across America, and the surprising impact the show had on law enforcement. Kent also recalls his friendship with Rick Nelson, an unforgettable football game between teams organized by Rick Nelson and Elvis Presley, working on Elvis movies, being publicly recognized by Elvis in Las Vegas, and the heartbreaking days surrounding the deaths of both Elvis and Rick. It's a fascinating conversation about classic television, Hollywood history, friendship, luck, and a career that continues to resonate with audiences decades later. #Adam12, #KentMcCord, #JackWebb, #ElvisPresley, #RickNelson, #ClassicTV, #StillHereHollywood, #SteveKmetko, #HollywoodHistory, #Dragnet, #PoliceDrama, #TVLegends   CHAPTERS 00:00 Intro 01:00 Why Everyone Called Him "Bucky" 01:39 Did Kent Know Adam-12 Would Become a Classic? 05:28 The Simple Formula That Made Adam-12 Work 07:04 Jack Webb and the Birth of Adam-12 08:15 Jack Webb's Famous Temper and Directing Style 15:52 Johnny Carson, Jack Webb and Comedy Gold 16:38 The Real Impact Adam-12 Had on Police Officers 18:14 Kent's Real-Life Encounters with Crime 20:13 Making Adam-12 Feel Authentic 23:28 Patreon Break 24:10 Becoming Friends with Rick Nelson 27:50 The Legendary Elvis Presley vs. Rick Nelson Football Game 33:43 What Elvis Presley Was Really Like 35:05 The Night Elvis Introduced Kent McCord in Las Vegas 37:16 Searching for Lost Elvis Footage 38:14 Life with Rick Nelson and Ozzie & Harriet 48:42 Luck, Persistence and Breaking Into Hollywood 50:04 The Day Elvis Presley Died 54:45 The Truth About Rick Nelson's Plane Crash 1:00:18 Did Adam-12 Show the Real Reality of Policing? 1:00:55 The Miranda Warning Story 1:02:20 Why Adam-12 Was Different From Every Other Cop Show 1:05:25 Looking Back on a Lifetime in Hollywood 1:06:30 The Day Ozzie Nelson Saved Kent's Life 1:08:55 Martin Milner and the Friendship Behind Adam-12 1:10:51 Why Adam-12 Still Airs Today 1:11:25 Closing Credits   Show CreditsHost/Producer: Steve KmetkoAll things technical: Justin ZangerleExecutive Producer: Jim LichtensteinMusic by: Brian Sanyshyn https://stillherehollywood.comhttp://patreon.com/stillherehollywoodSuggest Guests at: stillherehollywood@gmail.comAdvertise on Still Here Hollywood: jim@stillherenetwork.comPublicist: Maggie Perlich: maggie@numbertwelvemarketing.com Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Storyteller and librarian Roslyn Quin joins Liz and Ben to discover there’s nowt as queer as folklore, as we discuss Terry Pratchett’s 2008 (and 2009 and 2014) collaboration with folklorist Jacqueline Simpson, The Folklore of Discworld. Wherever there are folk, you’ll find folklore: the stories, traditions, superstitions and more that tell people who they are, and make up their world. The curious thing is, the folklore of a flat world swimming through space on the back of a giant turtle turns out to have a considerable amount in common with that of a round world orbiting a star… The Folklore of Discworld is part a greatest hits collection of Terry’s imagination, and part a summary of the Roundworld lore that inspired or at least resembles its Discworld counterparts. Like The Science of Discworld books it’s a collaboration with an expert in the field – in this case, Dr Jacqueline Simpson of the Folklore Society. Unlike those books, however, there’s no neat division into fiction and non-fiction chapters, with the whole thing written in one voice. It both assumes a fair amount of interest in the Discworld, but also repeats lots of lore about creatures, people and places that fans will probably know, so it’s the discussion and the comparison to Roundworld – and especially British – folklore that makes it shine. What are your favourite bits of folklore here, whether from the Disc or from Roundworld? Do you feel like this has Pratchett’s voice, or is it mostly Simpson’s? Was there enough detail, or were you yearning for more? Which of the versions did you read? And what folklore would you love to see included if it was ever revised again? Join our online conversation via email or by incanting the magic phrase #Pratchat93 on the social media platform of your choice (assuming it’s one where we are). Guest Roslyn Quin (she/they) is a storyteller, librarian, puppeteer, actor, clown and artist who began her performance career with the 2012 solo storytelling show The Red Bird and Death. Since then she’s performed as part of festivals, cabaret and burlesque nights, on podcasts (including the hit Australian audio comedy Love and Luck), and wherever two or more are gathered together and ready to hear a tale. These days you’ll mostly find Ros telling stories to children of all ages at Yarra Plenty Regional Libraries. As mentioned in the episode, she’ll also be telling stories at 6, 7 and 8 PM on Friday 3 July for Melbourne’s free Firelight Festival at Docklands Park! You can also find out more about Ros at roslynquin.com. You can find episode notes and errata on our web site. Next month it’s back to the pixels one more time, as we try and solve three missing persons cases at once in Perfect Entertainment’s third and final Discworld adventure game, Discworld Noir! Send us your questions via email (chat@pratchatpodcast.com), use the hashtag #Pratchat94 on social media, or just turn up at our office acting mysterious. That always works. Want to help us get to the end of our six(ish) year mission and read every Pratchett book – and more? You can support us with a tip, or a subscription for as little as $2 a month, and that's cuttin' our own throats! See our Support Us page for details.

In this episode, we explore Habit #23: Magnetic Nicknames and how I changed my name to Lucky and used AI to reinforce a new identity faster simply by asking my AI chatbot to call me "Lucky." Get the Book: https://www.tinyurl.com/MagneticHabitsDiscover the science behind the I AM Lucky AI Hack and how it may help activate neuroplasticity, the Reticular Activating System (RAS), and identity-based beliefs that can help you become luckier by training your brain to notice more opportunities, expect better outcomes, and strengthen the belief that good things happen to you.After researching whether changing your name to Lucky was actually a thing, I discovered there is far more science behind it than I ever imagined. Your name is one of the strongest identity anchors in your life. Every time you hear it, your brain reinforces the identity connected to it.Because the fastest way to attract what you want may not be changing your circumstances first—it may be changing how you see yourself. After all, if you want to attract what you want faster, you must first feel like the person who already has it.

Gary Kusin is a legendary entrepreneur best known as the co-founder and former CEO of GameStop and the executive who led Kinko's through a remarkable turnaround before its $2.4 billion acquisition by FedEx. Over a decades-long career, Gary has built, scaled, and sold multiple businesses while developing a reputation as one of the sharpest strategic thinkers in entrepreneurship. In this episode, Travis shares some of his biggest lessons from Gary's appearance on the show, covering everything from mentorship and hard work to debt management and identifying opportunities in the marketplace. On this episode we talk about: Why finding a market opportunity is often more important than following your passion The role mentors played in Gary's career and how great mentorship can change your trajectory Why hard work and working smart are complementary—not competing—ideas The dangers of debt in seasonal and cyclical businesses How constantly building relationships and maintaining a Plan B creates long-term career security Top 3 Takeaways The best business opportunities often come from identifying unmet market demand rather than pursuing personal passions. Mentorship can dramatically accelerate success, but the most effective mentors are often outside your organization and industry. Staying prepared, building relationships, and keeping your options open creates opportunities long before you need them. Notable Quotes "Find the hole in the market. The passion can stay a hobby." "Luck is what happens when opportunity meets preparedness." "The people who win the most work smarter and harder." Connect with Gary Kusin: LinkedIn: https://www.linkedin.com/in/garykusin Website: https://garykusin.com Other: https://gamechangerbook.com A Word from Our Sponsors: - Are you ready to start your own creatorjourney and make it big? Visitwww.fanvue.com today and launch yourcareer! - To learn more about Mode Mobile and its investor community, go to https://invest.modemobile.com/travismakesmoney -Travis Makes Money is made possible by High Level – the All-In-One Sales & Marketing Platform built for agencies, by an agency.Capture leads, nurture them, and close more deals—all from one powerful platform.Get an extended free trial at gohighlevel.com/travis Learn more about your ad choices. Visit megaphone.fm/adchoices

Nikki goes solo for a fascinating conversation with spiritual mentor, medium, and intuitive tarot reader Niamh McCarthy—just minutes after sitting down for a private one-on-one tarot reading herself. Together, they dive into intuition, signs from the universe, spirit guides, and Niamh's powerful Soul Team Method, all while unpacking some of the biggest takeaways from Nikki's personal reading. From Niamh's surprising journey from touring the world with artists like Madonna and U2 to becoming one of today's most sought-after spiritual mentors, this episode explores how intuition, alignment, and self-trust can help guide us through life's biggest questions. Plus, Nikki and Niamh play a fun round of “Mindful or Mind Games?” separating real spiritual guidance from internet woo-woo. Whether you're deeply spiritual or simply curious, this conversation is full of insight, perspective, and a little magic. Press play. Call Nikki & Brie at 833-GARCIA2 and leave a voicemail! Follow Nikki & Brie on Instagram, follow the show on Instagram and TikTok and send Nikki & Brie a message on Threads! Follow Bonita Bonita on Instagram Book a reservation at the Bonita Bonita Speakeasy To watch exclusive videos of this week's episode, follow The Nikki & Brie Show on YouTube, Facebook, and TikTok! You can also catch The Nikki & Brie Show on SiriusXM Stars 109! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hour 1: Bob's Movie Club has its next assignment: Chappie (2015). One of Sarah's favorite movies! Let's eat some headlines. Paranormal Activity on Broadway? Bunny Xo, Jelly Roll's wife, wrote a memoir that is getting an adaptation. The NBA finals have begun, and the Knicks are happy this morning. California is looking for a new governor. Online dating is bigger than ever, but most people still hope to find someone in the wild. Matty, of course, claims it isn't that easy. Vinnie tells the story of how he met his wife. Hour 2: Jared Kushner and Ivanka Trump are buying an island! Michael Kosta covered it on The Daily Show. Netflix has a new Michael Jackson trial documentary that claims to be dropping bombshells. If you liked the biopic, you won't like this. Here's why Tom Holland won't ever host SNL. Check us out on Instagram: @Alice973 Sarah got a new wardrobe for you. Luck is what happens when preparation meets opportunity, so you gotta be ready when luck strikes. National Cheese Day is a big debate here at Sarah and Vinnie. Hour 3: We get a new Taylor Swift song TONIGHT! Quentin Tarantino says Hollywood has turned into a flavorless sausage factory. The summer blockbuster lineup is upon us! Two cops got into a bizarre altercation over smelly lunch. AI powered teddy bears sound like a great babysitter. Pepsi has a new “night” version. Americans of all ages and demographics are playing video games! Hour 4: Weezer just announced a new album! World Cup tickets are reportedly dropping. Reba McEntire is getting married! What does “good” mental health look like? Vinnie is telling us! Sarah is glad we're changing the stigma. A terrifying story from Vinnie. These jobs won't be automated by AI anytime soon.

Jared Kushner and Ivanka Trump are buying an island! Michael Kosta covered it on The Daily Show. Netflix has a new Michael Jackson trial documentary that claims to be dropping bombshells. If you liked the biopic, you won't like this. Here's why Tom Holland won't ever host SNL. Check us out on Instagram: @Alice973 Sarah got a new wardrobe for you. Luck is what happens when preparation meets opportunity, so you gotta be ready when luck strikes. National Cheese Day is a big debate here at Sarah and Vinnie.

Evan Roberts and Tiki Barber lean into the tension of Knicks NBA Finals anticipation, debating whether this matchup with the Spurs is New York's best and maybe only real shot at a championship. The conversation turns from nerves about Game 1 to bigger questions about roster building, belief, and whether the Knicks can finally break through. The guys react to callers who see the Knicks as the best playoff team in sports, argue over San Antonio's lottery luck, and compare the Spurs' superstar driven rise with the Knicks' more calculated construction around Jalen Brunson, Karl-Anthony Towns, chemistry, coaching, and smart decisions.

The luckier you are the nicer you should be, plus three questions from you.