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The Kraken Wakes_episode 5 Of 5
The Padres took down the Reds and somewhat got back on track. Tony Gwynn Jr, Chris, and Skraby break it down.
George Whitefield didn't just preach the Word — he lived it. In this episode, we explore the fiery preaching ministry of George Whitefield, the power of Scripture memory, and why God's Word must move from our heads into our hearts and daily lives.Too many Christians know verses without truly being transformed by them. Whitefield's life reminds us that Scripture was never meant to stay inactive. The Word of God is living, powerful, and life-changing when it is obeyed, treasured, and proclaimed.
No one wakes up thinking about anyone but themselves. More than likely they wake up stressed and worried about how the day is going to turn out. Yet a lot of people believe that people are out for them and that they are so important that people spend their life trying to destroy their life. This is not true everyone wakes up trying to figure out how to make it through their own day, don't let your ideas and thoughts get in the way of you making your day amazing
The Kraken Wakes_episode 4 Of 5
Answering this week's Top 5 Sleep Questions. This week's questions highlight the following topics:- How do you handle a false start? My 5 month old has them every night. - I have a 2.5 year old and a 7.5 month old. I really don't want to drop my 7.5 month old's third nap yet, because I like that there is some overlap in their napping. Do you have a schedule you can suggest?- I'm planning on starting some sleep coaching with my 8 month old. Do I start with naps or nights?- My 16 month old has 1 nap and wakes every day at 5:30am. How can I get her to sleep later?- My 13 week old is getting too big for her bassinet. Should li put her in a pack n play in my room, or move her to her own room?The Happy Sleep Company's Infant / Toddler Sleep Program is suited best for children who are 14 weeks to 3 years of age and still sleeping in a crib. Children at this age need healthy sleep for proper development, to boost their immune systems, and to help them take in the big, bright, ever-changing world around them. At this age and in this environment, amazing sleep habits can be established very quickly with loads of consistency and tons of love involved! We will work closely with your family to develop a sleep plan that is right for your child, and help you help your little one to be sleeping through the night and taking proper naps within our two weeks together! LEARN MORE HEREErin Junker | Paediatric Sleep ConsultantInstagram @thehappysleepcompanyWebsite www.thehappysleepcompany.com
The Kraken Wakes_episode 3 Of 5
On the latest edition of Caught Offside with Andrew Gundling and JJ Devaney... Saturday morning: **Wakes up...Yawns... rolls over... grabs phone... checks Twitter... OH MY**Following the news that Arne Slot had been sacked by Liverpool, JJ grabbed a mic and shared some of his immediate thoughts on the decision. For even more Caught Offside content, get on over to Caught Offside Plus right now! In our most recent episode, it's the Devundling Award Show After Party! We're hangin out previewing the Champions League Final, discussing Mauricio Pochettino's AC Milan rumors and so much more!For all the latest merch, get over to https://caughtoffsidepod.com/ - Spring has sprung, you've made it through the winter, so buy yourself a present! Get a Caught Offside t-shirt!---Reddit: https://www.reddit.com/r/CaughtOffsidePod/X: https://twitter.com/COsoccerpodInstagram: https://www.instagram.com/caughtoffsidepod/Email: CaughtOffsidePod@gmail.com Hosted on Acast. See acast.com/privacy for more information.
The Kraken Wakes_episode 2 Of 5
Send us your feedback — we're listeningPsalm 46 1 — When Your Mind Wakes Up Carrying Too Much: A Prayer for Calmness and Steady Peace Live from London, England — where faith meets the world in daily prayer and global hope Houston • Tennessee • Mexico City • São Paulo • Georgia CALMNESS • REASSURANCE • STEADY PEACE morning prayer for anxious thoughts • Christian prayer for emotional peace • prayer for a heavy mind and tired heart • prayer for calmness before the day begins Psalm 46:1 (NIV) “God is our refuge and strength, an ever-present help in trouble.” If your mind has woken up already carrying too much today, pause for a quiet moment with Jesus. Before this day moves any further, let your heart slow down for a moment. God sees how tired your thoughts have become. He understands the pressure you may already be carrying quietly within yourself this morning. Father, in the name of Jesus, I come before You now. Jesus, stay close to me through this day. When anxious thoughts begin rising within me, help my heart settle gently again. When pressure starts filling my mind with fear and heaviness, remind me that I do not need to carry every burden alone. Lord, help me breathe peacefully again.I place this day into Your hands now. I release the emotional strain, quiet worries, and hidden fears that have been exhausting my spirit. And now, I choose calmness instead of fear. Jesus, walk beside me through every moment ahead today. Lead me beside still waters and hold my thoughts steady within Your peace. God has not stepped away from you. Even here, His presence remains close beside you now. Jesus is with you now. Across the world, people are waking this morning carrying emotional exhaustion, uncertainty, and quiet battles within their thoughts. From Houston to Tennessee, from Mexico City to São Paulo and Georgia, Jesus is bringing calmness, reassurance, and steady peace to weary hearts today. Jesús, permanece cerca de mi corazón cansado hoy. Jesus, fica perto de mim e acalma meus pensamentos. Jesus, samahan Mo ako at bigyan Mo ako ng kapayapaan ngayon. Father, I trust You completely. And today, I rest safely within Your peace. Amen. Psalm 46 prayer, morning prayer, anxious thoughts prayer, Christian encouragement, emotional healing prayer, prayer for peace, overwhelmed prayer, trust God prayer morning prayer for anxious thoughts, Christian prayer for emotional peace, prayer for a heavy mind and tired heart, prayer for calmness before the day beginsSupport the showDaily Prayer with Reverend Ben Cooper now reaches 185 countries and 3,012 cities worldwide through the Global Blend Radio network.This is a listener-funded global ministry. If these daily prayers strengthen your faith or help you through difficult seasons, would you consider becoming a monthly prayer partner for just £3 per month?Your support enables us to continue recording, hosting, and broadcasting daily biblical encouragement across the nations — keeping this ministry free and accessible to everyone who needs it.You can support today at GlobalBlendRadio.comTogether, we can keep prayer moving across the world.To submit a prayer request or connect with our global prayer community, visit DailyPrayer.ukBuy me a Coffee
Your life is already worship-shaped. The only question is what's doing the shaping. Join Kelly, Jodi & Mattea as they dive into this topic!Thanks for listening! Follow us on Facebook or YouTube.
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Alanna Rizzo, Katie Woo, and Clint Pasillas recap the Dodgers' weekend sweep of the Angels. What went right and what went wrong for LA? (2:01) In the what went right column, Roki Sasaki's dominant start against the Halos. What went into this being his best start as a big leaguer? The hosts discuss. (9:59) Shohei Ohtani's bat has woken up. Did he just need a mental reset or is there more to him breaking out of his slump? Katie shares her insight.
Watch the full episode with Paul Levy here: https://youtu.be/2xnziV5N6kESupport this show http://supporter.acast.com/inspiredevolution. Hosted on Acast. See acast.com/privacy for more information.
Masterpiece Podcasts: Collection of Chinese Classic Novels
Masterpiece Podcasts: Collection of Chinese Classic Novels
This week, we're discussing a movie that asks what if the story of Mary Shelley writing Frankenstein was even weirder and more fraught than it actually was? And what if Percy Shelley and Victor Frankenstein were kind of the same guy? And what if Lord Byron was awful? (Okay, that one's true.) Join us as we discuss this strange mess of a movie that we both kind of liked, but really wanted to like a lot more than we actually did.Please rate, review, and tell your fiends. And be sure to subscribe so you don't miss future installments. Join us on Patreon at patreon.com/thefrankencast. Find all of our various links atlinktr.ee/frankencast or send us a letter at thefrankencast@gmail.com. We'd love to hear from you!Your Horror Hosts: Anthony Bowman (he/him) & Hayden Orr (he/him). Cover painting by Amanda Keller (@KellerIllustrations on Instagram).
The Toddler Essentials continues and this week Laura and Jennifer are tackling sleep. They'll explain how parents can help toddlers sleep through the night and safely transition from a crib to a toddler bed, emphasizing confidence, consistency, and safety-focused routines. Plus, the common sleep disruptions around 18–24 months during the “language explosion,” and why it's important to return to the foundational routines tailored to each child's design.
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May 12, 2026 ~ Jason Roe and Lloyd Jackson talk with Eric Vincent, Detroit Pistons reporter for ClutchPoints.com. They discuss the Pistons' recent loss to the Cavaliers, Jalen Duren's performance, and Donovan Mitchell's scoring. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.
A generation prescribed antidepressants by a vulture-like media/pharma complex starts to awaken. Did we really need these medications? What did they do to us? Kamala Harris' step daughter Ella Emhoff records her own awakening. Peter Doocy digs into the first drop of UFO Files and tells us what we think we see... and what we know we don't. The father of modern rocketry, Werhner von Braun, warned his closest associate 50 years ago that the deep state would play a final card - ALIENS - to normalize a space weapon program built on a lie.
Joanna Robinson and Rob Mahoney stay at the local inn to recap the first three episodes of ‘Widow's Bay,' an Apple TV comedy horror starring Matthew Rhys. (0:00) Intro (2:24) Why we love the show so far (11:50) Cottage horror (18:31) The incredible lineup of directors (29:31) Best bit of lore (35:34) Favorite city employee (38:09) Favorite jokes (42:18) Favorite horror movie reference (43:28) Best scare (44:22) Most alluring thing about Widow's Bay (46:10) Best Matthew Rhys moment (48:01) Best Stephen Root moment (48:43) Kingston Rumi Southwick's standout performance Email us! prestigetv@spotify.com Follow us on IG and TikTok! Subscribe to the Ringer TV YouTube channel here for full episodes of ‘The Prestige TV Podcast' and so much more! Hosts: Joanna Robinson and Rob Mahoney Producers: Kai Grady and Devon Renaldo Additional Production Support: Justin Sayles and Jacob Cornett Learn more about your ad choices. Visit podcastchoices.com/adchoices
Natalie Heller Mills is a tradwife influencer with 5 million followers. She drinks raw milk, eats farm fresh eggs, and is “perfect at being alive.” But when she wakes up in 1855, the very time period she's fetishized, she feels afraid – and paranoid that she's being filmed. In today's episode, Caro Claire Burke joins NPR's Ayesha Rascoe for a conversation about the author's debut novel, Yesteryear. They discuss Natalie as an anti-hero, Burke's interest in power hierarchies over religion, and how the author pushed the tradwife trend to “its final conclusion.”To listen to Book of the Day sponsor-free and support NPR's book coverage, sign up for Book of the Day+ at plus.npr.org/bookofthedaySee pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy
Alanna Rizzo, Katie Woo, and Clint Pasillas recap a good weekend for the Los Angeles Dodgers. While the starting pitching was mostly really good again, the big story of the series is Shohei Ohtani's bat waking up. What changed for Sho? The hosts discuss. The other big storyline for fans involved shutting up Cubs outfielder Pete-Crow Armstrong. Did the lights get too bright in LA for PCA? We share our opinions. Roki Sasaki made a change to his split-finger fastball and it led to added velocity but another mixed outing for the pitcher. Katie shares more insight about the change and what it means for Roki. Plus, thoughts about the Red Sox house cleaning and more! To explore coverage, visit aspcapetinsurance.com/FOUL. The ASPCA® is not an insurer and is not engaged in the business of insurance. Use our code for 10% off your next SeatGeek order* seatgeek.onelink.me/RrnK/TERRITORY10 Sponsored by SeatGeek. *Restrictions apply. Max $20 discount Check out DT merch at https://dodgersterritoryshop.com Support Guidry's Guardian at https://guidrysguardian.org Find Clint on YouTube at https://youtube.com/@alldodgers Follow Katie's work at The Athletic https://www.nytimes.com/athletic/author/katie-woo/ Subscribe to Dodgers Territory on YouTubeRate and review our podcast on Apple and SpotifySee omnystudio.com/listener for privacy information.
Will Lou and Alex Wong reacts to the Toronto Raptors' 93-89 win over the Cleveland Cavaliers in Game 4 to even the series at 2-2. He breaks down Scottie Barnes' clutch performance, Collin Murray-Boyles and Jamal Shead's incredible hustle plays, and Brandon Ingram finally finding his scoring touch.Three stars: Scottie Barnes, Collin Murray-Boyles, Brandon IngramGerald Henderson award: Sam Merrill#raptors #torontoraptors #nbaplayoffsThis episode is a presentation of ToonieBet Online Sportsbook and Casino.Visit ToonieBet: https://tooniebet.ca/ca/landing/29cm-basketball-tnnReach out to the show by leaving a voicemail at hellowelcome.show or email the guys info@hellowelcome.showCheck out our merch! Visit hellowelcome.show and click on the merch link.Original Music by DIVISION 88.Reach out to sales@thenationnetwork.com to connect with our Sales Team and discuss opportunities to partner with us! Hosted on Acast. See acast.com/privacy for more information.
God brings us back to the guilt we've tried to bury in order to move us forward in grace.
Daily Halacha Podcast - Daily Halacha By Rabbi Eli J. Mansour
We have been discussing the opening Halacha in the Shulhan Aruch requiring one to be "strong like a lion" to rise in the morning. The Rama (Rav Moshe Isserles, Poland, 1530-1572) adds: "Yakum Bi'zrizut La'abodat Bor'o" – "One shall rise with zeal for the service of his Creator." A number of commentators raised the question of how to reconcile these statements with the Gemara's warning in Masechet Gittin (70) that rising immediately after performing certain activities poses a danger to one's health. These activities include eating, drinking, blood-letting, and sleeping. How can the Shulhan Aruch and Rama require one to immediately jump out of bed in the morning, if the Gemara warns that this could be harmful to one's health? Several different answers have been offered for this question. The Taz (Rav David Segal, 1586-1667) dismissed this question entirely, stating that if a person jumps out of bed for the service of Hashem, then clearly his wellbeing will not be harmed. Hashem protects those who go to perform Misvot, and so the warning about jumping out of bed immediately after waking up does not apply if one's intention is to right away prepare for prayer and for the day's Misvot. The work Tosefet Shabbat explains that when the Rama writes that a person should immediately "rise" – "Yakum" – he means that a person should right away sit up. The Tosefet Shabbat brings a prooftext from the story of Yaakob bringing meat to his father, Yishak, before receiving his blessing. When Yaakob arrived, he said, "Yakum Abi Ve'yochal Mi'sed Beno" – "My father shall rise and eat from the hunt of his son" (Bereshit 27:31). Clearly, Yaakob was not telling his father to stand up to eat. Rather, Yishak – an elderly man – was lying or reclining, and Yaakob asked him to sit up straight so he can eat. Likewise, the Rama perhaps meant that a person should right away straighten himself up in bed after waking, but should then wait a few moments before getting out of bed. The Magen Abraham explains in a slightly different vein, asserting that the Rama meant that a person should get out of bed quickly, but not immediately after waking up. A person should wait a moment or two, and then get out of bed. Likewise, the Shulhan Aruch Ha'Rav (Rav Schneur Zalman of Liadi, 1745-1812) writes that one should first stay in bed for the recitation of "Modeh Ani," and then get out of bed. This is, indeed, the Halacha – that one should recite "Modeh Ani" immediately upon waking, and should then get out of bed.
Too Much? Good. Be More.You've been told you're too much your whole life.Too loud. Too sexual. Too intense. Too emotional.And at some point… you started believing it.In this unapologetic episode, Jen shares a powerful experience where her full, unfiltered expression didn't overwhelm someone it transformed them.Here's the truth no one is saying:Your “too muchness” is what wakes people up.When you stop performing, stop filtering, and stop trying to be palatable… you become magnetic, impactful, and deeply alive.This is your invitation to stop shrinking and start taking up all the space you were meant to.
What if poetry is not optional to human flourishing, but essential to it? In this second dialogue, John Vervaeke and Adam Walker explore poetry as a way of knowing reality rather than merely describing it. Their conversation moves through imagination, inexhaustible meaning, beauty, sacredness, freedom, embodiment, and the possibility of a new renaissance in culture. Along the way, they discuss voluntary necessity, spiritual senses, participatory knowing, and why modern notions of freedom can become hollow when detached from gratitude, devotion, and love. This is a rich and wide-ranging episode for listeners interested in philosophy, literature, spirituality, and the future of meaning. Adam Walker is a public scholar and recent Harvard PhD graduate whose work explores the spiritual dimensions of poetry. After stepping away from the traditional academy, he founded Versed, a platform devoted to making serious literary study accessible to everyday readers through teaching, close reading, and conversation. Adam Walker Website: https://www.adamgagewalker.com/ YouTube: https://www.youtube.com/@closereadingpoetry Versed: https://versedcommunity.mn.co/ Support The Lectern Patreon: https://www.patreon.com/johnvervaeke Teachable: https://lectern.teachable.com/p/lectern-lounge Follow John Vervaeke Website: https://johnvervaeke.com/ X: https://x.com/DrJohnVervaeke YouTube: https://www.youtube.com/@johnvervaeke/videos Timecodes 00:00 Introduction 01:27 "The imaginal is not about entertainment. It's about attainment." 02:20 Poetry as a practical path to meaning 04:40 Why poetry is quietly subversive 05:30 Inexhaustible meaning and the sacred 08:20 Is imagination a way of knowing reality? 12:40 Why great poetry turns toward infinity 15:00 The landscape of intelligibility 20:20 Can poetry educate wisdom? 21:30 Coleridge and the power of symbol 24:20 Voluntary necessity explained 30:20 The modern misunderstanding of freedom 31:30 How digital culture exploits the will 34:40 The advent of the sacred 36:20 Wordsworth and awakening through nature 41:20 What are the spiritual senses? 52:20 Beyond the religion vs. secular binary 58:20 Why renaissances need shared language 1:02:20 Symbolic thought and Meditations on the Tarot 1:16:20 Meaning crisis, madness, and sanity 1:18:30 Closing reflections
Start here: nevillegoddard.com – download Neville Goddard's most powerful book free and receive weekly insights to help you manifest. NEW PODCAST: Follow the brand new Neville Goddard Podcast on Spotify, Apple Podcasts, or your favourite podcast platform. The Neville Goddard Podcast is dedicated to bringing Neville's timeless ideas into a modern, immersive format you can return to again and again. This is a modern faithful interpretation of Neville Goddard's most powerful teachings. Listen to Episode 1 on Spotify → Listen to Episode 1 on Apple Podcasts → ---------Neville once said, “Assumption, if persisted in, will harden into fact.” That one truth is enough to change your life. The question is, how do you live from that place, day by day? That's exactly what Unlock God Mode was created to help you do.If you've been waiting for a sign to take Neville's teachings deeper and make them the rhythm of your daily life, this is it. Start your journey now: unlockgodmode.org. ---------Neville Goddard: He Wakes In Me (1967 Lecture) ***Download the free Neville Goddard PDF Guide at manifestwithneville.com - Discover the transformative power of Neville Goddard's wisdom with this FREE 60-page guide on his 12 timeless principles of manifestation and reality creation.★ Follow the podcast for daily lectures from the mystic Neville Goddard ★FREE RESOURCES:• Join the FREE Neville Goddard newsletter• Join the FREE Telegram Channel• Feeling is the Secret • Full Audiobook* * *The James Xander Trip Podcast:• Listen on Spotify• Listen on Apple Podcasts• Listen on YouTubeDIVE DEEPER:• The Unlock God Mode Course• The Infinite Wealth Guided Meditation* * *ABOUT NEVILLE GODDARD:Neville Goddard (1905-1972), was an English writer, speaker and mystic. He grew up in Barbados and moved to the United States of America as a young adult. Neville Goddard was perhaps the last century's most intellectually substantive and charismatic purveyor of the philosophy generally called New Thought. He wrote more than ten books under the solitary pen name Neville, and was a popular speaker on metaphysical themes from the late 1930s until his death in 1972.Possessed of a self-educated and uncommonly sharp intellect, Neville espoused a spiritual vision that was bold and total: Everything you see and experience, including other people, is the result of your own thoughts and emotional states. Each of us dreams into existence an infinitude of realities and outcomes. When you realize this, Neville taught, you will discover yourself to be a slumbering branch of the Creator clothed in human form, and at the helm of limitless possibilities.Neville's thought system influenced a wide range of spiritual thinkers and writers, from bestselling author Dr. Joseph Murphy to Rhonda Byrne and Wayne Dyer.He has inspired and continues to inspire millions of readers around the world.* * *SOCIALS:• Neville Goddard Newsletter• Neville Goddard Telegram• Neville Goddard Instagram• Neville Goddard Threads• Neville Goddard Twitter• Neville Goddard YouTube* * *ABOUT THE COURSEUnlock God Mode is a transformative 30-day course designed to accelerate your journey towards greater wealth, love, and success through a deeper understanding and manipulation of your reality. Comprising of 30 audio lessons, this course unfolds as a self-paced, introspective expedition into reality creation, aiding you in elevating your consciousness to what's referred to as the God Mode. Throughout this journey, practical tools will be provided daily to help enrich your life with more love, money, and success by altering your mental models and perceptions. This course combines theory and hands-on experience to create a unique deep dive into manifestation, consciousness, and reality creation. Join me on an extraordinary, 30-day adventure (1 lesson per day) and watch your reality transform. Begin the Unlock God Mode experience today »* * *Follow Neville Goddard on Telegram, Instagram, Threads, Twitter, and YouTube.★ Join the FREE Neville Goddard newsletter ★» For the Neville Goddard listener: Access the 30-Day Unlock God Mode Program «----------
This week on the podcast, Laura and Jennifer continue the six to fifteen month essential series. They'll guide parents through evolving daily routines, emphasizing flexibility, predictability, and developmental readiness. Throughout, they talk about why routines are tools, not rigid rules: families can enjoy late park trips, adjust bedtimes, rely on “reset” points (like the morning wake time), and use consistent pre-nap and bedtime rituals to anchor days even when timing shifts.
"Welcome in” to this week's episode of Stall It, where Darren's hiding under his hat and Joe's losing the rag over both fake space films and real‑life moon missions.The lads wander through old traditions like bull runs, cheese‑rolling and, of course, the ploughing, before things take a morbid turn with the history of Irish wakes featuring organised scraps, kissing games and all.Darren has a brand new career path as Joe plots his rise as a poker prodigy for next year's Irish Open, and Joe is still fuming over his trip to see Project Hail Mary and ranting about NASA's Artemis II like it personally offended him.Send all your questions and comments to stallit@goloudnow.com.
Stay connected with us at americangroundradio.com, on Facebook, and Instagram. You're listening to American Ground Radio with Louis R. Avallone and Stephen Parr. This is the full show for April 10, 2026. We kick things off with a conversation about boldness, confidence, and what it means to expect greatness — and that leads us straight to President Trump's proposed 250-foot triumphal arch to mark America's 250th anniversary. We dig into whether this gold-emblazoned monument is the unapologetic celebration of American greatness that this country deserves, or whether an arch — historically a symbol of military conquest — is the right way to tell America's story. We land somewhere interesting, and we think you will too. Then we go deeper into the Dignidad Act — the amnesty bill working its way through the House with 19 Republican signatures on it. The Federalist ran a piece on the eight most insane provisions buried inside this bill, and we walk through the worst of them. Lawyers get student loan forgiveness for helping illegal immigrants stay in the country. Deported aliens can come right back in. Illegal immigrants don't have to pay FICA taxes — giving their employers an unfair advantage over every business following the law. And if you're in the country illegally and get convicted of DWI, theft, fraud, assault, or domestic violence? You still get to stay. We call this what it is — amnesty on top of amnesty — and we name the Republicans who should be ashamed of themselves for signing on. Our American Mamas Teri Netterville and Kimberly Burleson join us to break down the Rupert Murdoch documentary and what it reveals about entitlement, greed, and what money and power do to people over time. We get into why Murdoch's kids felt entitled to a fortune they didn't build, how greed changes people in Washington the same way it changes people in Hollywood, and why Trump and Elon Musk are two of the rare exceptions to the rule that absolute power corrupts absolutely. In our Digging Deep segment, Disney quietly brought back "ladies and gentlemen" to its park greetings after dropping the phrase in 2021 in favor of "dreamers of all ages." We dig into what that reversal actually signals about where the culture is heading — and what happened to Disney's stock price in the years between. We also respond to Jodi Foster, Ben Stiller, Spike Lee, Pedro Pascal, Madonna, and Mark Ruffalo demanding the closure of the Dilley Immigration Processing Center in Texas. We explain exactly why these celebrities have zero credibility on this issue and remind everyone what was actually happening to immigrant children during the Biden administration. And we close out with Fake News Friday — we run through the week's wildest headlines and challenge you to sort the real from the fake. Canada's new pride acronym alone is worth tuning in for. Plus, words of wisdom about the moon in honor of the Artemis II crew safely splashing down in the Pacific Ocean tonight. Listen now wherever you get your podcasts, visit AmericanGroundRadio.com, and join the conversation at 866-AGR-1776! NYC judge seeks to make example of officer who threw cooler at fleeing suspect, causing fatal crash Here Are The 8 Most Insane Things In The ‘DIGNIDAD’ Amnesty Bill See omnystudio.com/listener for privacy information.
SEND THE BOYS A MESSAGE!On this episode:The Podcast welcomes back an old guest!Big G spends a some time with LPGA Tour caddie Chris Rose.Chris has talks about being on the ladies tour and compares it to life at the resort.Big G grills him on his previous appearance on the podcast.It's a great episode but make sure and listening to the previous time Chris was on.Support the showCheck out the Good Boy Golf website and us promo code: DONKEY20 for a cool 20% discount!If you have any questions or comments, please email us: podcast@glorifieddonkey.comIF YOU WANT TO SUPPORT US WHY NOT: BUY US A BEER!⚡ Subscribe for ALL Episodes:▶APPLE: The Real Life Caddie Golf Podcast▶SPOTIFY: The Real Life Caddie Golf Podcast⚡ Join us on Social Media:▶TWITTER: @GlorifiedDonkey▶FACEBOOK: @glorifieddonkey▶INSTAGRAM: @glorifieddonkey⚡ Visit our website:▶WEBSITE: http://www.glorifieddonkey.com/⚡ SUBSCRIBE TO OUR YOUTUBE CHANNEL:▶YOUTUBE: https://www.youtube.com/@GlorifiedDonkey
Alanna Rizzo and Clint Pasillas dive into game 2 of the series between the Los Angeles Dodgers and Toronto Blue Jays. Our recap and your reactions, LIVE! Thoughts on Yoshinobu Yamamoto's dominant outing, Alex Vesia's DAWG moment, and Alex Freeland's breakout performance at the plate! Use our code TERRITORY10 for 10% off your next SeatGeek order* seatgeek.onelink.me/RrnK/TERRITORY10 Sponsored by SeatGeek. *Restrictions apply. Max $20 discount Check out DT merch at https://dodgersterritoryshop.com Support Guidry's Guardian at https://guidrysguardian.org Find Clint on YouTube at https://youtube.com/@alldodgers Follow Katie's work at The Athletic https://www.nytimes.com/athletic/author/katie-woo/ Subscribe to Dodgers Territory on YouTubeRate and review our podcast on Apple and SpotifySee omnystudio.com/listener for privacy information.
Alanna Rizzo, Katie Woo, and Clint Pasillas recap the Dodgers' series sweep in Washington. What went well for Los Angeles as the bats finally woke up? The hosts discuss (00:55). Roki Sasaki made his second start of the year and it was a mixed bag. Things we're continuing to keep an eye on with Roki (6:45). The Dodgers will be without the services of Mookie Betts after he suffered an oblique injury. How long will Mookie be sidelined? Katie shares the latest (11:09). (15:41) Kyle Glaser joins as we shift the conversation to the World Series rematch in Toronto. What kind of series are we in for against the Blue Jays? Plus thoughts on the Dodgers 9 games into the season, his insight on Roki Sasaki (25:16), and more! Use our code TERRITORY10 for 10% off your next SeatGeek order* seatgeek.onelink.me/RrnK/TERRITORY10 Sponsored by SeatGeek. *Restrictions apply. Max $20 discount Check out DT merch at https://dodgersterritoryshop.com Support Guidry's Guardian at https://guidrysguardian.org Find Clint on YouTube at https://youtube.com/@alldodgers Follow Katie's work at The Athletic https://www.nytimes.com/athletic/author/katie-woo/ Subscribe to Dodgers Territory on YouTubeRate and review our podcast on Apple and SpotifySee omnystudio.com/listener for privacy information.
Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z's legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change.This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube!We discuss:* Marc's long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today's moment as the culmination of decades of compounding technical progress* Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not* AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong* Scaling laws, Moore's Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models* The dot-com crash and AI infrastructure risk: Marc's comparison between today's AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here* Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints* Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI* American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they're free but because they teach the world how things work, and how open source strategies may shift as the market consolidates* Why Pi and OpenClaw matter so much: Marc's claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades* Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is* The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept* Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems* Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first* Proof of human vs. proof of bot: why Marc thinks the internet's bot problem is now unsolvable via detection alone, and why biometric + cryptographic proof of human becomes necessaryTimestamps* 00:00 Marc on AI's “80-Year Overnight Success”* 00:01 A Quick Message From swyx* 01:44 Inside a16z With Marc Andreessen* 02:13 The Truth About a16z's AI Pivot* 03:29 Why This AI Boom Is Not Like 2016* 06:33 Marc on AI Winters, Hype Cycles, and What's Different Now* 10:09 Reasoning, Coding, Agents, and the New AI Breakthroughs* 12:13 What Founders Should Build as Models Keep Improving* 16:33 AI Capex, GPU Shortages, and the Dot-Com Crash Analogy* 24:54 Open Source AI, Edge Inference, and Why It Matters* 33:03 Why OpenClaw and PI Could Change Software Forever* 41:37 Agents, the End of Interfaces, and Software for Bots* 46:47 Do Programming Languages Even Have a Future?* 54:19 AI Agents Need Money: Payments, Crypto, and Stablecoins* 56:59 Proof of Human, Internet Bots, and the Drone Problem* 01:06:12 AI, Management, and the Return of Founder-Led Companies* 01:12:23 Why the Real Economy May Resist AI Longer Than Expected* 01:15:53 Closing ThoughtsTranscriptMarc: Something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic. Having said that, I think what's actually happened is an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years where that was controversial. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right?Which is like, it's an overnight success ‘cause it's like bam, you know, chat GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.If I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough.swyx: Before we get into today's episode, I just have a small message for listeners. Thank you. We will not be able to bring you the ai, engineering, science, and entertainment contents that you so clearly want if you didn't choose to also click in and tune into our content.We've been approached by sponsors on an almost daily basis, but fortunately enough of you actually subscribed to us to keep all this sustainable without ads, and we wanna keep it that way. But I just have one favor to ask all of you. The single, most powerful, completely free thing you can do is to click that subscribe button.It's the only thing I'll ever ask of you, and it means absolutely everything to me and my team that works so hard to bring the in space to you each and every week. If you do it, I promise you will never stop working to make the show even better. Now, let's get into it.Alessio: Hey everyone, welcome to the Lidian Space Pockets. This is CIO, founder Kernel Labs, and I'm joined by s Swix, editor of Lidian Space.swyx: Hello. And we're in a 16 Z with a, uh, mark G and welcome.Marc: Yes, yes. A and what, half of 16? Something like that. A one. Exactly,swyx: exactly. Uh, apparently this is the, the final few days in your, your current office.You're moving across the road.Marc: Uh, we're, yeah. We have a, we have some, we have some projects underway, but yeah, this is actually, oh, this is the original. We're in actually the original office. We're in the, we're in the, we're, we're in the whole thing.swyx: It's beautiful. Yeah. Great.Marc: Thank you.swyx: So I have to come out, uh, this is a, you know, I wanted to pick a spicy start in October, 2022.I just made friends with Roone and, uh, I wanted to give him something to sort of be spicy about. And I said, uh. Uh, it'll never not be funny. The A 16 Z was constantly going. The future is where the smart people choose to spend their time and then going deep into crypto and not in ai. And that was in October 22nd, 2022.And Ruen says there was an internal meeting in a 16 Z to reorient around Gen ai. Obviously you have, but was there a meeting? What, what was that?Marc: I mean, I don't, look, I've been doing AI since the late eighties.swyx: Yeah.Marc: So I, I don't know, like all that, as far as I'm concerned, this stuff is all Johnny cum lately.Yeah. You, I mean, look, we've been doing ar entire existence. I mean, we've been doing AI machine learning deep, you know, deeply. We've been doing this stuff way from the beginning. Obviously a AI is just core to computer science. I, I, I actually view them as like quite, uh, quite continuous. Um, you know, Ben and I both have computer science degrees.Um, you know, we, we both, Ben, Ben and I actually both are world enough to remember the actual AI boom in the 1980s. Yeah. There was like a, there was a big AI boom at the time. Um, and there was a, was names like expert systems. Um, and they of like lisp and lisp machines. Uh, I, I coded in lisp. I was coding a lisp in 1989.When that was the, the language of the AI future. Um, yeah. So this is something that we're like completely, you completely comfortable with. I've been doing the whole time and are very enthusiastic aboutswyx: is there a strong, like this time is different because, uh, my closest analog was 20 16 17. It was an AI boom.Mm-hmm. And it petered out very, very quickly. Um, we, it just, it just in terms of investingMarc: sort of, sort of,swyx: yeah. Investment, investment excitement.Marc: Although that's really when the, the, the Nvidia phenomenon really, it was, I would say it was in that period when it was very clear that at, at the time it, the vocabulary was more machine learning, but it, it was very clear at that time that machine learning was hitting some sort of takeoff point.Alessio: Yeah.Marc: Well, and as you guys, you guys have talked about this at length on, on your thing, but, you know, if you really track what happened, I think the real story is, it was, it was the Alex net, uh, basically breakthrough in like 2013. That was the, that was the real knee in the curve. Um, and then it was obviously the transformer breakthrough in 17.Alessio: Yeah.Marc: Um, and then everything that followed. But, but, you know, look, machine learning, you know, there were, you know, look, uh, I mean look, I've been working, you know, I've been working with, uh, one of my, you know, kind of projects working with Facebook since 2004. Um, and on the board since 2007, and of course, you know, they, they started using machine learning very early, um, and, you know, have used it basically, you know, for like 20 years for, you know, content, you know, feed optimization and advertising optimization.And obviously many, you know, financial services. You know, many, many, many companies, many different sectors have been doing this. And so it's like one of these things, it's like, it's not a, it's not a single thing. Like it's, it's like, it's like layers, right? Yeah. Um, and, and the layers arrive at different paces and, but they kind of build up.swyx: Yeah.Marc: Uh, they kind of build up over time and then, and then, yeah. And then look, in retrospect, it was 2017 was kind of the, you know, the key, the key point with the trans transformer and then. And then as you guys know, there was this really weird like four year period where it's like the, the transformer existed and then it was just like,swyx: let's go.Yeah.Marc: Well, but, but it was just, but, but between 2020, but between 2017 and 2021, I mean, that was the era of which like companies like Google had internal chat Botts, but they weren't letting anybody use them.swyx: Yeah.Marc: Right. And then, you know, and then OpenAI developed Chat GT or GPT two, and then they told everybody, this is way too dangerous to deploy.Right. Yeah. You know, we can't possibly let normal people, normal people use this thing. And then you, you guys, I'm sure remember AI Dungeon, um mm-hmm. So the o for, there was like a year where like the only way for a normal person to use GP T three was in, in AI dungeon.Alessio: Yeah.Marc: And so you, you, we would do this, you'd go in there and you'd pretend to play Dungeons and Dragons.In reality, you're just trying to talk to talk to GPT. And so there was this, you know, there was this long, you know, and I, you know, the big, big companies, you know, big companies are cautious and, you know, the big companies were cautious. It, it, by the way, it took open ai. You know, they, they, they talk about this, it took open AI time to actually adjust, you know, kind of re redirect their researchswyx: path.I, I think, uh, let say Rosewood, right? Uh, the, the dinner that founded OpenAI was right there.Marc: Right, right. But that, that dinner would've taken place in 20swyx: 18Marc: 19. The formation of OpenAI Uhhuh as late as 2018.swyx: Uh, uh, sorry. Uh, no, I'm, I'm, I'm, I'm wrong. Probably It should be 20. Yeah. They just celebrated a 10 year anniversary, so it it is 2025.Yeah, so, so 2015?Marc: Yeah. 2015. Yeah. 2015. But then, uh, um, Alec Radford did G PT one in what, probablyswyx: mm-hmm. 17, 18,Marc: yeah. 17, 18. So it, yeah. For, and then, and then they didn't really, and then GPT three was what? 2020? 2020.swyx: 2020.Marc: Because that became copilot immediately. Even open ai, which has been, you know, the leader of, of this thing in the last decade, you know, e even they had to adapt and, and, and lean into the new thing.And so. Um, yeah, I, I think it's just this process of basically sort of wave after wave layer after layer, you know, building on itself. And then you kind of get these catalytic moments where, where the whole thing pops and, and obviously that's what's happening now.swyx: Is it useful to think about will there be any ai, winter?‘cause there's always these patterns. Like, is this, in the summer is something I constantly think about because do I get, do I just like. Just get endlessly hyped and just trust that I will only be early and never wrong or right. Well, are we, will there be a winter?Marc: So there's something about, say the following.There's something about AI that has led to this repeated pattern. Um, and, and, and you guys know this,swyx: it's summer, winter, summer,Marc: winter, summer, winter, summer, winter. And it goes back 80 years. Yeah. 80 years. Uh, so the original neural network paper was 1943. Right. Which is, which is amazing. Uh, that it was, it was far back that long.And then there was you, if you guys have ever talked about this on your show, but there was this, uh, there was a big, uh, there was an a GI conference at Dartmouth University in 1950. 55. 55, yeah. And they got a NSF grant to, uh, for the, all the AI experts at the time to spend the summer together. And they figured if they had 10 weeks together, they could get a GI, uh, at the other end.And they got their, by the way, they got the grant, they got the 10 weeks and then, you know, 1955, you know. No, no. A GI. And like I said, I, I lived through the eighties version of this where there was a big, a big boom and a crash. And so, so there is this thing, and there, there is something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic.Um, and, and it's probably on both sides of like the, the, the boom bus cycle. You, you kind of see that play out. Having said that, I think what's actually happened is like just, and you know, and we now know in retrospect like an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years or that was controversial. And, and we now know that that's the case. And so we, we now, you know, everything we're building on today just sort of derives from the original idea in 1943. And so, so in retrospect, we, we now know that like, these, these guys are right.They, they, you know, they would get the timing wrong and they thought, you know, capabilities would arrive faster, or they were, it could be turned into businesses sooner or whatever, but like, they were fundamentally, the, the scientists who worked on this over the course of decades were fundamentally correct about what they were doing.And, and the, and the payoff from, from, from all their work is happening now. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success.‘cause it's like bam, you know, chat, GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.Um, and thinking, and look, there were AI researchers who spent their entire lives. They got their PhD. They, they worked for, they've researched for 40 years. They retired in a lot of cases, they passed away and they never actually saw it work.swyx: Yeah. It's all sad.Marc: It is. It is sad. It's sad. Knewswyx: Jeff Hinton was like the last guy.Marc: Yeah. Yeah. Well, there were the guys, uh, was a guy, Alan Newell. I mean, there's tons of John McCarthy. You know, John McCarthy was like one of the inventors in the field. He's one of the guys who organized the Dartmouth Conference and you know, he taught at Stanford for 40 years. Wow. And passed, you know, passed away, I don't know, whatever, 10, 10 years ago or something.Never, never actually go. Got to see it happen. But like, it is amazing in retrospect, like, these guys were incredibly smart and they worked really hard and they were correct. So anyway, so then it's like, okay, you know, say history doesn't repeat, but it rhymes. It's like, okay, does that mean that there's gonna be another, like, you know, basically boom buzz cycle.And I, I will tell you, like, let, like in a sense, like yes, everything goes through cycles and, you know, people get overly enthusiastic and overly depressed and there's, there's a time, there's a timelessness to that. Having said that, there's just no question. Um, so the form, the foremost dangerous words in investing this time are, this time is different.Do you know the 12 most dangerous words investing? No. The four most d foremost dangerous words in investing are this time is different. Yeah. Um, the 12 most dangerous words. And so like, I'll tell you what's different. Like now it's working like, like there's just no, I mean, look, there's just no question.And by the way, I, I'll just give you guys my take. Like L LLMs, like from, from basically the Chad G PT moment through to spring of 25. I think you could still, I think well intention, well, and of. Form skeptics could still say, oh, this is just pattern completion. And oh, these things don't really understand what they're doing.And you know, the hall hallucination rates are way too high. And, you know, this is gonna be great for creative writing and creating, you know, Shakespeare and so sonnets and, you know, as, as rap lyrics or whatever, like, it's gonna be great and all that stuff, but we're not gonna be able to harness this to make this relevant in, you know, coding or in medicine or in law or in, you know, you know, kind of feels that, you know, kind of really, really matter.And I think basically it was the reasoning breakthrough. It, it was oh one and then R one that basically answered that question basically said, oh no, we're gonna be able to actually turn this into something that's gonna work in the real world. And, and then obviously the coding breakthrough over the, over basically the coding breakthrough that kind of catalyzed over the holiday break was kind of the third step in that.Mm-hmm. Where you're just like, alright, if, if, you know, if Linus Tova is saying that the AI coding is no better than he is like. Like, that's, that's never happened before. That's theswyx: benchmark.Marc: Yeah. That's never happened before. And so now we know that it's, it's gonna sweep through coding and, and then, and then we, we know, you know, we know that if it's gonna work in coding, it's gonna work in everything else.Right. It's just then, because that's, that's like, that's like, that's like the hardest in many ways. That's the hardest example. And how everything else is gonna be a, a derivative of that. And then on top of that, we just got the agent breakthrough, you know, with Open Claw, which is fantastic. Which is amazing and incredibly powerful.And then we just got the, the, um, the auto research, uh, you know, the, the self-improvement. You know, we're now into the self-improvement breakthrough. And so the, so the way I think about it is we've had four fundamental breakthroughs in functionality, l OMS reasoning, uh, agents, um, and then, uh, and, and then now RSI, um, and, and they're all actually working.Um, and so I'm, I'm just, as you like, you can tell I'm jumping outta my shoes. Like, like this is, like this is it like this, this is the culmination of 80 years worth of worth of work, and this is the time it's becoming real.Alessio: Yeah.Marc: I, I'm completely convinced.Alessio: I think the anxiety that people feel is like during the transistor era, yet Mors law, and it's like, all right, we understand why these things are getting better.We understand the physics of it. Yeah. With ai, it's. It's so jagged in like the jumps where like, like you said, it's like in three months you have like this huge jump like, and people are like, well this can keep happening. Right? But then it keeps happening,Marc: it'll keep happening.Alessio: And so like how do you think about also timelines of like what's we're building?I think we always have this question with guests, which is like, you know, should you spend time building harness for a model versus like the next model just gonna do it one shot in the lead space. Right. And how does that inform, like how you think about the shape of the technology? You know, you talk about how it's a new computing platform.If you have a computing platform, then like every six months it like drastically changes in what it looks like. It's hard to build companies on top of it.Marc: Yeah. So, so a couple things. So one is like, look, the, the Moore's law was what we now call a scaling law. Like Moore's Law was a scaling law and for your younger viewers, more Moore's Law was every chip chip chips either get twice as powerful or twice as cheap every, every 18 months.And that, and that and that, you know, that it's gotten more complicated in the last few years. But like that, that was like the 50 year trajectory of, of, of the computer industry. And then, and then by the way, and that's what took the mainframe computer from a $25 million current dollar thing into, you know, the phone in your pocket being, you know, a million times more powerful than that.Like that, you know, for, for 500 bucks. And so that, that was a scaling law. And then, and then, and then key to any scaling law, including Moore's Law and the AI scaling laws is, you know, they're not really laws, right? They're, they're, they're, they're predictions, but when they work, they become self-fulfilling predictions because they, they, they, they, they set a benchmark and, and then the entire industry, right?All the smart people in the industry kind of work to make sure that, that, that actually happens. And so they, they kind of motivate the breakthroughs that are required to, to keep that going. And, and in and in chips, that was a 50 year, that was a 50 year run. Right. And it, it was amazing. And it's still happening in, in some areas of, of chips.I think the same thing is happening with the, the core scaling laws. The core scaling laws. In, in, in ai, you know, they're, they're not really laws, but like they, they are basically. There are predictions and then they're motivating catalysts for the research work that is required to be. And, and, and, and by the way, also the investment, uh, dollars, um, uh, you know, required to basically keep, you know, keep the curves going and, and look, it, it is, it's gonna be complicated and it's gonna be variable and they're, you know, there're gonna be walls that are gonna look like they're fast approaching, and then they're gonna be, you know, engineers are gonna get to work and they're gonna figure out a way to punch through the walls.And obviously that's, you know, that's been happening a lot, you know, and then look, there's gonna be times when it looks like the walls have, you know, the, the, the laws have petered out and then they're gonna, they're gonna pick up again and surge and then, and then, and then it, it appears what's happening to the eyes is there's not multiple, you know, multiple scaling laws.Um, there's multiple areas of improvement. And, and I think, you know, I don't know how many more there are already yet to be discovered, but there are probably some more that we don't know about yet. You know, they, like, for example, there's probably some scaling law around, um, world models and robotics that we don't fully understand, you know, kind of acquisition of data at scale in the real world that we don't fully understand yet.So that, that, that one will probably kick in at some point here. There's a bunch of really smart people working on that. Um, and so, yeah, I, I think the expectation is that, that, you know, the, the scaling laws generally are gonna continue. Yeah. The, the pace of improvement will continue to move really fast.Um. To your question on like what to build. So, uh, I'm a complete believer the scaling laws are gonna continue. I'm a complete believer the capabilities are gonna keep getting amazing, um, you know, leaps and bounds. Uh, the part where I kind of part ways a little bit with how, what I would describe as the AI purists, um, you know, which is, which I would characterize as like the people who are.In many ways, the smartest people in the field, but also the people who spend their entire life, like at a lab, um, and have, have, I would say, have very little experience in the outside world. Um, the, the, the nuance I would offer is the outside world of 8 billion people and institutions and governments and companies and economic systems and social systems is really complicated.Um, and, um, and doesn't, you know, it it 8 billion people making collective decisions on planet Earth is not a simple process of like, just like you see this happening now. It's like a bunch of AI CEOs have this thing, which is just like, well, there's just this, they just all have this kind of thing when they talk in public where they're just like, well, there's these, these obvious set of things that so society to do.Alessio: Mm-hmm.Marc: And then they're like, society's not doing any of those things. Right. And it's like, how can society not, you know, what, whatever their theory is, how can society not see x, y, Z? Mm-hmm. And the answer is, well, society is number one. There's no single society, it's like 8 billion people. And they like all have a voice, and they all have a vote, like at the end of the day of how they, they react to change.And then, you know, it just like, it's just human reality is just really complicated and messy. Um, and, and, and so the specific answer to your question is like, as usual, it depends. Um, you know, it, it depends. Look, pe there's no question people are gonna, like, there's no question they're gonna be companies.It's already happening. There are companies that think that they're building value on top of the models and then they're just gonna get blissed by the, by the next model. There's no question that's happening. But I think there's no question also that just the process of adaptation of any technology into the real and into the real messy world of humanity is, is just going to be messy and complicated.It's, it's not going to be simple and straightforward. It's gonna be messy and complicated. And there are gonna be a lot of companies and a lot of products, um, uh, and in, in fact entire industries that are gonna get built to, to, to basically actually help all of this technology actually reach real people.Alessio: The amount of capital going into these companies, I mean, Dario talked about it on the Door Cash podcast and Door Cash was like, why don't you just buy 10 x more GPUs? And he is like, because I'm gonna go bankrupt if the model doesn't exactly hit the, the performance level. How do you think about that?Also as a risk on, you know, you guys are investors, open AI and thinking machines and world apps. It seems like we're leveraging the scaling loss at a pretty high rate, right? Like how comfortable, I guess, do you feel with the downside scenario, like, and say like things Peter out, you think you can kind of like restructure uh, these build outs and uh, you know, capital investments.Marc: Yeah. So should start by saying, so I live through the.com crash, um, and I can tell you stories for hours about the.com crash and it was horrible. No, it was awful. It was, it was, it was apocalyptic by the way. The, a lot of the.com crash was actually at the time, it was actually a telecom crash. It was a bandwidth crash.Like the, the thing that actually crashed, that wiped out all the money with the tele, the telecom companies.swyx: GlobalMarc: crossing. Global, global, yeah.swyx: I'm from Singapore and they, they laid so much cable o over over our oceans.Marc: Actually there was a scaling law in the.com. Era. And it was literally the, the US Commerce Department put out a report in 1996 and they said internet traffic was doubling every quarter.Um, and, and actually in 1995 and 1996, internet traffic actually did double every quarter. And so that became the scaling law. And so what all these telecom entrepreneurs did was they went out and they raised money to build fiber, anticipating that the demand for bandwidth is gonna keep doubling every quarter.Doubling every quarter though is like, you know, grains of chess and the chessboard, like at some point the numbers become extremely large. Right. And, and, and it really, and really what happened was the internet. The internet by the way, continuously kept growing basically since inception. And it's, you know, it's, it's continuously grown.It's never shrunk. And it's grown really fast compared to anything else. Mm-hmm. You know, in, in, in human history. But it wasn't doubling every quarter as of 19 98, 19 99. And so there was this gap in the expectation of what they thought was a scaling law versus reality. And that's actually what caused the.com crash, which was the, it they, they way over companies like global crossing way overbuilt fiber, which is sort of the, and by the way, fiber, telecom equipment, you know, so all the, all the networking gear, you know, and then, and then by the way, the actual physical data centers, like that was the beginning of the, of the, of the data center build and then, and the data center overbuild.And so you had that, but it was, it was literally, I think it was like $2 trillion got wiped out, right? It was like Jesus, it was like a big, it was. And by the way, the other, the other subtlety in it was the internet companies themselves never really had any debt. ‘cause tech, tech companies generally don't run on debt, but the telecom companies run on debt.Physical infrastructure companies run on debt. And so the companies like Global Crossing not just raise a lot of equity, they also raise a lot of debt. So they're highly levered. And so then you just do the thing. It's just like, okay, you have a highly levered thing where you're, you're just over, you're overbuilding capacity.Demand is growing, but not as fast as you hoped. And then boom, bankrupt. Right. And, and then it, and then it's like they say about the hotel industry, which is, it's always the third owner of a hotel that makes money. It has to go bankrupt twice, right? You have to wash out all of the over optimistic exuberance before it gets to actually a stable state.And then it makes money. So by the way, all of those data centers and all of those, all the fiber that they're in use, it's all in use today. Yeah. But 25 years later. But it, it, it took, and actually the elapsed time was, it took 15 years. It took 15 years from 2000 to 2015 to actually fill, fill up all that capacity.The cautionary warning is the, the overbuild can happen. Um, and, and, and, and, you know, you, you get into this thing where basically everybody, everybody who basically has any sort of institutional capital, it's like, wow. It's just, I, I don't know how to invest in these crazy software things. For sure I can put build data centers and for sure I can buy GPUs that I can deploy, you know, compute grids and, and all these things.Um, and so, you know, if you're a pessimist, you could look at this and you could say, wow, this is like really set up to be able to basically replicate, you know, what we went through, what we went through in 2000. Obviously that would be bad. The counter argument, which is the one I I agree with, which is the counter on, on the other side is a couple things.One is the companies that are investing all the, the companies that are investing the money are like the bluest chip of companies. And so back, back, back in the, in the do, like Global Crossing was like a, it was like an entrepreneur. It was like a, a new venture, but like the money that's being deployed now at scale is Microsoft, and, you know, and Amazon and Google, Facebook and Facebook and Nvidia and, you know, these, these, these, and, and now you know, by the way, open ai philanthropic, which are now at like, you know, really serious size, um, you know, as companies with, you know, very serious revenue.These are very large scale companies with like, lots, lots of cash, lots of debt capacity that they've, they've never used. And so th this is institutional in a way that, that really wasn't at the time. And then the other is, at least for now, every dollar that's being put into anything that results in a running GPU is being turned into revenue right away.Like so, and you guys know this, like everybody's starved for capacity, everybody's starved for compute capacity and then, you know, all the associated things, memory and, and, and interconnected and everything else. Um, data center space. And so e every dollar right now that's being put into the ground is turning into revenue.And, and it, and in fact, I actually think there's an interesting thing happening, which is because everybody starve for capacity, the models that we actually have that we can use today are inferior versions of what we would have if not for the supply constraints. That's true. Um, if Right pose a hypothetical universe in which GPUs were 10 times cheaper and 10 times more plentiful mm-hmm.The models would be much better. ‘cause you would just allocate a lot more money to training and you'd just build better models and they would be better. Um, and so we're, we're actually getting the sandbag version of the technology.swyx: Yeah. No. Everything we use is quantized because the, the labs have to keep the, the full versions,Marc: right?swyx: LikeMarc: we're not even getting the good stuff.swyx: Yeah.Marc: But, but getting the good stuff, it's, it's just, even if technical progress stops. Once there's like a much bigger build of like GPU manufacturing capacity and memory, you know, all, all the things that have to happen in the course of the next five or 10 years.Once it happens, even the current technology is gonna get, gonna get much better. And then as you know, like there's just like a million ways to use this stuff. Like there's just like a million use cases for this. Mm-hmm. Like, it, it, you know, this isn't just sending packets across a, a thing, whatever, and hoping that people find something to do with it.This is just like, oh, we apply intelligence into every domain of human activity. And then it works like incredibly well. Yeah. Um. Here's what I know, here's what I know. Um, in the next three or four year, it's like somewhere between three or four years out, basically everything is selling out. So like the, the entire supply chain is, is, is, is sold out or, or, or selling out.And so there, there's no, like, we're just gonna have like chronic supply shortage for, you know, for years to come. Um, there's going to be a response from the market that's gonna result in an enormous, you know, it's happening now. An enormous flood of investment in a new fab capacity and ev you know, every, everything else to be able to do that, at some point the supply chain constraints will unlock, you know, at least to some degree that will be another accelerant to industry growth when that happens.‘cause the products will get better and everything will get cheaper. Um, and so, so I know that's gonna happen. I know that, you know, the deployments, you know, the, the actual use cases are like really compelling. And then, like I said, you know, with reasoning and agents and so forth, like, I know they're just gonna get like much, much better from here.And so I, I, I know the capabilities are like really real and serious. I also know that the technical progress is not going to stop. It. It, it is excel. It is, is accelerating. Like the, the breakthroughs are are tremendous. I mean, even just month over month, the breakthroughs are really dramatic. And so, you know, I think if you were a cynic and there, there are cynics, you can look at 2000, you can find echoes.But I can't even imagine betting it that this is gonna like somehow disappoint and, you know, at least for years to come, I think it would be essentially suicidal to make that bet. Yeah. Um, it was that Michael Burry, uh, uh, that'sswyx: anMarc: interesting guy, huh? We'll pick on a guy. We'll pick, let's pick on one guy.We'll pick. Well ‘cause he did, he he came out with, it was, it was the, heswyx: doesn't mind.Marc: It was the Nvidia short. Right. He came with the Nvidia short. And then if you guys probably talked about this, which is the, the analysis now that like the current models are getting better faster at such a rate that if you are running an Nvidia, if you're running an Nvidia inference chip today, that's three years old, you're making more money on it today than you did three years ago because the pace of improvement of the software is, is faster than the, the, the depreciation cycle, the chip.And then my understanding is Google is running. I don't if they've, I don't know exactly what, uh, these are rumors that I've heard or maybe it's public, but, um, I think Google's running very old TPUs, very profitably. Ference. Yeah. And very profit and very profitably. Yeah. Um, and so, so it actually turns out, as far as I can tell, it's actually the opposite of the Beery thesis is actually.He was actually 180 degrees wrong. It's actually the, the, the, the old Nvidia chips are getting more valuable, which is something that's like literally never happened before. Like it's never been the case that you have an older model chip that becomes more valuable, not less valuable. And that, and again, that's an expression of the just ferocious pace of software progress.Ferocious pace of capability payoff. Yeah. Uh, that you're getting on the other side of this. And so I just, the idea of betting against that, like.swyx: Yeah. Yeah. Well, one ofMarc: my, it seems like an invitation to get your face ripped up.swyx: One of my early hits was like modeling the lifespan of the H 100 and h two hundreds and, and going like, you know, usually they advise like four to seven years and it was, you know, maybe you sort of realistically haircut cut it down to two to three.Yeah. But actually it's going up and not down. Yeah. And, and uh, that's, I mean that's, I think that's the dream. Uh, we are finding utilization and I think utilization solves all problems. Like, you can, you can find use, use cases for even like the poor, like even memory, we're having a shortage. Right. And, and even like the, the shittier versions of, of memory that we do have, we are finding use cases for it.So like That's great.Marc: Yeah.Alessio: How, how important is open source AI and kinda like edge inference in a world in which you have three years of supply crunch. Like, do you think in the, like, you know, if you fast forward like five years, like how do you think about inference, uh, in the data center versus at the edge?Marc: Well, so just to start, yeah. So I think, I think open source is very important for a bunch of reasons. I think edge, edge inference is very important for a bunch of reasons. I, I think just practically speaking, if we're just gonna have fundamental construc, supply crunches for the next, I mean, you, you guys know if you just project forward demand over the next three years, right?Yeah. Relative to supply, one of the, its main predictions you can do is what's gonna, what, what's gonna happen to the cost of, of inference in the core, uh, over the next three years? And like, it may rise dramatically, right? Like, so, so what is, and then is, is, you know, like the, the, the big model competition are subsidizing heavily right now.Right? Right. And so, so what's the, what will be the average person's, you know, per day, per month token cost, you know, three years from now to do all the things that they want to do. And I, I don't know, it's gonna. I mean, I have, you guys probably have friends, I have friends today who are paying a thousand dollars a day for open claw, for claw tokens to run open claw.Right? And so, okay. $30,000 a month. Right? And, and by the way, those, those friends have like a thousand more ideas of the things that they want their claw to do, right? Yeah. And so you, you could imagine there, there's like latent demand of up to, I don't know, five or $10,000 a day of, of, of tokens for a fully deployed, you know, per personal agent.Uh, and obviously consumers can't pay that, right? And so, so, but it gives you a sense of the fu of the fu of the future scope of demand, right? And so, so even, even if there's a 10 x improvement in price performance, that still, you know, goes to a hundred dollars a day, which is still way beyond what people can pay.Mm-hmm. So there's just gonna be like. Ferocious to me, by the way. The agent thing, the other interesting thing is I think the agent thing, so up until now, a lot of the constraints of GGPU constraints, I think the agent thing now also translates into CPU constraints. Mm-hmm. Right?swyx: CPU memory.Marc: Yes. CPU memory, right?And so, like the entire chip ecosystem is just gonna get wait,swyx: wait for network constraints, that that will be the killer.Marc: It's all bottleneck potentially for years. And so, so I, I think that Brad, and, and I think it's actually possible, I mean, generally inference costs are gonna keep coming down, but I think the, let's put it this way, the rate of decline, I think may level out here for a bit because of these supply constraints.And then at some point, maybe the lab stops subsidizing so much and that, that, that again, will be, be an issue. And so there's just gonna be so much more demand for inference than, than can be satisfied. Um, you know, kind of with the centralized model. And then, and then, you know, you guys know this, but like all the, just the dramatic, I mean just the dramatic innovations that have happened in the Apple silicon to be able to do, uh, inferences, it's quite amazing the level of effort being put.Like the open source guys are putting incredible effort into getting, you know, this recurring pattern where the big model will never run on a pc, and then six months later mm-hmm. Oh, it runs in a pc, right? It's like amazing. And there's very smart people working on that. So there's all that. And then look, there's also, you know.There's also like other, there's other motivators. There's other motivators which is just like, okay, how much trust are the big centralized model providers? You know, how much trust are they building in the market versus, you know, how much are, you know, at least for, in certain cases with some people, for certain use cases, people being like, well, I'm not willing to just like, turn everything over.So there, there, there's all the trust issues. Um, by the way, there's also just like straight up price optimization. There's many uses of AI where you don't need Einstein in the cloud. You just need like a, a a, a smart local model. There's also performance issues where you want, you know, you want, you know, you're gonna want your doorknob to have an AI model in it.Right. You know, to be able to, you know, do, um, you know, to be able to do access control. Um, obviously like everything with a chip is gonna have an AI model in it. Mm-hmm. And it, a lot of those are gonna be local. Um, and so, yeah. No, like I think, I think you're gonna have ti and then you're gonna, by the way, also wearable devices, you know, you don't wanna do a complete round trip.You want, you know, you, whatever your smart devices are, you want it to be like super low latency. Yeah.swyx: The question, do we care who makes it? Yeah. One of the biggest news this week was the collapse of AI two, the Allen Institute. Mm-hmm. One of the actual American open source model labs. Yeah. Um, and, uh, I'm not that optimistic on, on American open source.Yeah. Like you, you guys invested in MIS trial and MIS trial's doing extremely well outside of China. That's about it.Marc: Yeah. We'll see. We'll see. I look, I, number one, I do think we care. Uh, I do think we, I do think we care who makes it. Um, I would say this, the, the, the, the previous presidential administration wanted to kill it in the us Oh yeah.They wanted to drown in the bathtub. Um, and so they wanted to kill it. So at least we have a government now that actually like, actually wants it wants it to happen. And youswyx: earned to councilMarc: and Yeah. And the new and the P pcast. Yeah. So the, the, you know, this admin for whatever other political issues people have, which are many, you know, this administration has, I think a very enlightened view and in particular an enlightened view on AI and in particular on open source ai.Uh, and so they're very supportive. Um, my read is the Chi. The Chinese have a very, the various Chinese companies have a very specific reason to do open source, which is, they, they, they don't fundamentally, they don't think they can sell commercial, uh, AI outside of China right now. And or at least specifically not, not in the US for a combination of reasons.And so they, they kind of view, I think, open source AI as a bit of a loss leader against basically domestic, uh, you know, paid, paid services. And then kind of an, you know, kind of an ancillary products. You know, they're, they're very excited about it, by the way. I think it's great. I think it's great that they're doing it.Um, you know, I think Deeps seek was like a gift to the world. Um, I think. The great thing about open source, open source, the, the, the impact of open source is felt two ways. One is you, you get the software for free, but the other is you get to learn how it works, right? And so like the paper, the paper, the paper and, and the code, right?And the code. And so, like, for example, I thought this was amazing. So open comes out with L one and it's an amazing technical breakthrough, and it's just like, absolutely fantastic. But of course they don't explain how it works in detail. And then of course they hide the, they hide the reasoning traces, right?And, and then, and then, and then everybody's like, okay, this is great, but like, who's gonna be able to replicate this? Are other people gonna be able to do this? You know, is their secret sauce in there? And then our one comes out and it's just like, there's the code and there's the paper, and now the whole world knows how to do it.And then, you know, three months later, every other AI model is, is adding reasoning. And so, so you get this kind of double, like even if the Chinese models themselves are not the models that get used, the education that's taken place to the rest of the world, the information diffusion, you know, is incredibly powerful.So that happens and then, I don't know. We'll, we'll see. You know, there are a bunch of American, you know, open source, you know, ai, uh, model companies. I mean, look, there's gonna be tremendous, you know, there already is. There's, you know, there's gonna be tre there's tremendous competition, uh, among the primary model companies.You know, there's, depending on how you count, there's like four or five, you know, big co model companies now that are, you know, kind of neck and neck, uh, in different ways. Um, uh, you know, and, and, and, um, you know, and then obviously Bo Bo both X and then MetAware involved are, you know, both have huge, you know, huge attempts to, you know, kind of, to kind of leapfrog underway.And then you've got, you know, a whole fleet of startups, new companies, including a whole bunch that we're backing, that are, you know, trying to come out with different approaches. And then you've got whatever it is. I don't know how, how many, how many, like main line foundation model companies are there in China at this point?It's probably six. It'sswyx: five Tigers is what they call it. Yeah. Uh, Quinn is in questionable because there's change in leadership,Marc: right?swyx: Yeah.Marc: But that, does that include, that includes like Moonshot,swyx: yes. Can deep seek, uh, uh, ZI, um, Quinn oh one is in there.Marc: Right. And then, um, and by dance and, and then you see,swyx: ance would be like the next tier ance.They weren't as prominent. They weren't, didn't haveMarc: a leading. Yeah. But they, you at least, you know, ance is very inspiring and presumably they have more stuff coming and Tencent probably has more stuff coming and, and so forth. And so, so, so like, look, here, here would be a thing you can anticipate, which is there are not these markets, there are not going to be between the US and China right now, there's like a dozen primary foundation model companies that are like at scale, at, at some level of a critical mass.It's not gonna be a dozen in three years, right? Like, it just because these industries don't bear a dozen, it's, it's gonna be three or you know, there's gonna be three or four big winners or maybe one or two big winners. And so there's gonna be like a whole bunch of those guys that are gonna have to figure out alternate strategies.Um, and I think like open source is one of those strategies. And so I, I think you could see like a whole, i, I, I think the questions like, who's gonna do open source? I think that could change really fast. I, I think that, that, that's a very dynamic thing. I think it's very hard to predict what happens. And, and I think it's very important.swyx: NVIDIA's doing a lot.Marc: Well, I was gonna say. Well, exactly. And then you're got Nvidia and then, and then, you know, just to, again, indu, there's an old thing in business strategy, which is called, uh, commoditize Compliments. Commoditize the compliment. That's right. And so if your Jensen is just kind of obvious, of course, you wanna commoditize the software.Yeah. And he's, and to his enormous credit, he's putting enormous resources behind that. And so maybe it, maybe it's literally Nvidia and I think that would be great.Alessio: Yeah. Uh, narrative violation to European projects, uh, in the, uh, damn.swyx: I'm hosting my, uh, Europe, uh, conference soon. And I got both of them.Alessio: They got us.They got us. MarkMarc: finished. They got us, us. Well, wait a minute. Where was Peter? So where was Steinberger when he did? In AustriaAlessio: was, yeah, yeah, yeah.Marc: He was in what? He was in Vienna. Oh, he was in Vienna. And then where is he now?swyx: Uh, he's moving to sf.Marc: Okay. Okay. Alright. Okay, there we go. And then, yeah, the PI guy, right?The PI guys are European.swyx: Yeah, they're also, they're buddies inAlessio: Australia. Mario's also there. Yeah.Marc: Right. And are they, yeah, they haven't announced yet. Any sort of change changed or have theyAlessio: No, they're, they have a company there.Marc: Okay. Got, okay. Good.Alessio: Good, good,good.Alessio: Um,Marc: yeah, good.swyx: Anyways, I think pie and open cloud very important software things and, and I just wanted you to just go off on what you think.Marc: Yeah. So I think in co the, the combination of the two of them I think is one of the 10 most important softwares. Openswyx: Claw got all the attention, but Right. Talk about pie,Marc: pi pie's, kind of the Yeah. PI's, PI's kind of the architectural breakthrough for those of us who are older. There was this whole thing that was very important in the world of software basically from like 1970 to, I don't know, it still is very important, but like 19, from 1973 to like basically the creation of Linux, which is basically this, this thing used to call like the Unix mindset.Like so, so, ‘cause there were all these different, you know, theories. There are all these different operating systems and mainframes and, and then you know, all these windows and Mac and all these things. And then there was this, but kind of behind it all was this idea of kind of the Unix mindset. And the Unix mindset was this thing where basically you don't have these, like, like in the old days, like, like the operating system that like made the computer industry really work, like in the 1960s mm-hmm.Was this thing called o os 360, which was this big operating system that IBM developed that was supposed to basically run everything. And it was this like giant monolithic architecture in the sky. It was like a, you know, it was like a giant castle. Um, of software. And, and by the way, it worked really well and they were very successful with it.But like, it was this huge castle in the sky, but it was this thing, it was almost unapproachable, which is like, you had to be kind of inside IBM or very close to IBM. And you had to really understand every aspect, how the system worked. And then the, the Unix sky is originally out of at and t and then out out of Berkeley, um, you know, came out and they said, no, let's have a completely different architecture.And the way architecture's gonna work is we're gonna have, we're gonna have a, a prompt and, and a, and a shell. And then, and then we're gonna, all, all the functionality is gonna be in the form of these discreet modules, and then you're gonna be able to chain the modules together. Mm-hmm. Yeah. And so like the, the, the op, it's almost like the operating, operating system itself is gonna be a programming language.Um, and then that led led to the, the, the sort of centrality of the shell. Um, and then that led to sort of, uh, you know, basically chaining together Unix tools. And then that led to the emergence of these, these scripting languages like Pearl, where you, you could basically kind of very easily do this, and then the shells got more sophisticated and then, and then, and then look like, you know, that, that, that number one, that worked and that, that was the world I grew up in.Like I was, I was a Unix guy. You know, sort of from, call it 1988 to, you know, kind of all, all the way through my work and it worked really well. It, it's in the background, um, you know, nor normal people don't need to, didn't need to necessarily know about it, but like, if you were doing like system architecture, application development, you, you, you knew all about it.Um, and then, you know, it's been in the background ever since. And, you know, look, your Mac still has a Unix shell, you know, kind of in there, and your iPhone still has a Unix shell kind of buried in there somewhere. So they're kind of in there. And then, you know, the Windows shell is kind of a, you know, sort of a weird derivative of that.But, um, you know, but look, the inter, the internet runs on Unix, um, and that smartphones, actually, both iOS and Android are Unix derivatives. And so, you know, kind of Unix did end up winning. But, but anyway, and then we just started taking that for granted. And then, and then so, so basically the, the way I think about what happened with Pie and then with Open Claw is basically what those guys figured out is, I always say the, the great breakthroughs are obvious in retrospect, right?Which is the best kind, the best kind. They weren't obvious at the time or somebody else would've done them already. Um, and so there is a, like a real conceptual leap, but then you look at it sort of the backwards looking and you're just like, oh, of course. Mm-hmm. Like the, the, to me those are always the best breakthroughs.Well, actually language models themselves are like that. It's just like, oh, next token completion. Oh, of course.swyx: Yeah. What other objective mattered?Marc: Yeah, exactly. But, but like it, right. But she's even saying it wasn't obvious until somebody actually did it. Right. And so the conceptual breakthrough is real and deep and powerful and, and very important.And so the way I think about pie and olaw is it's basically marrying the, the language model mindset to the un to the Unix, basically shell prompt mindset. And so it's, it's basically this idea that what, what, so what is an agent, right? And as, as, and as you know, like many smart people who have been trying to figure out what an agent is for, for, for decades, and they've had many architectures to build agents and the whole thing.And it turns out what is an agent. So it turns out what we now know is an agent is the following. It's, so it's a language model. And then above that, it's a ba, it's a bash shell. Um, so it's a, it's a Unix shell, and then it's, and then the agent has access, uh, has access to, to the shell. And, you know, hopeful, hopefully in a sandbox, maybe in, maybe in a sandbox.So it's, it's the model. Um, it's the shell. Um, and then it's a fi, it's a file system. Um, and then the state is stored in files. And then, you know, there's the markdown format for the, you know, for, for the files themselves. And then, and then there's basically what in Unix is called Aron job. There's a loop and then there's a heartbeat for the, there's heartbeat and, and the thing basically Wake Wakes up.Wakes up. So it's basically LLM plus shell, plus file system, plus markdown, plus kron. And it turns out that's an agent. And, and, and every part of that, other than the model is something that we already completely know and understand. And in fact, it turns out that like the latent power of the Unix shell is like extraordinary because basically like all, like, there's just like an, there's just enormous latent power in the shell.There's enormous numbers of Unix commands, there's enormous number of command line interfaces into all kinds of things already in the, you know, your entire, I mean your entire, just to start with, your computer runs on a shell. If you're running a Mac or a, or, or a phone, your computer, your computer's running on a shell, uh, already.And so like the full power of your computer is available at the command line level. Um, and then it turns out it's really easy to expose other functions as a command line interface. And so like this whole idea where we need like MCP and these like product mm-hmm. Fancy protocols, whatever, it's like, no, we don't, we just need like a command, command line thing.So that's the architecture. And then it turns out what is your agent? Your agent has a bunch of files starting a file system. And then there's the thing that just like completely blew my mind when I write my head around it as a result of this, which is like, okay. This means your agent is now actually independent of the model that it's running on.Because you can actually swap out a different LLM underneath your agent and your, your agent will change personality somewhat. ‘cause the model is different, but all of the state stored in the files will be retained.swyx: Yeah. Different instruction set, but you just compiledit.Marc: Right, exactly. And it's all right.It's like right. Swapping out a ship and recompiling, but it's, it's still, it's still your agent with all of its memories. Um, and with all of its capabilities. And then by the way, you can also swap out the shell, uh, so you can move it to a different execution environment that is also, is also a b shell, by the way, you can also switch out the file system, right.Uh, and you can, and you can, and you can swap out the, the, the heartbeat for the, the crown framework, the, the loop that the agent framework itself. And so your agent basically is ba basically at the end of the day, it's just. It's just, its files. Um, and then, and then there's of course it a openswyx: call.Marc: Yeah, it's, it's basically, it's, it's just the files.Um, and then by the way, as a consequence of that, the agent and then the agent itself, it turns out a couple important things. So one is it, it's, it, it can migrate itself, right? And so you're, you can instruct your agent, migrate yourself to a different, uh, runtime environment, migrate yourself to a different file system, migrate yourself to a different, you know, swap out the language model.Your agent will do all that stuff for you. And then there's the final thing, which is just amazing, which is the agent is the agent actually has full introspection. It actually, it actually knows about its own files and it could rewrite its own files. Right. Which by the way, is basically no widely deployed software system in history where the, the, the thing that you're using actually has full introspective knowledge of how it itself works and is able to modify itself.Like that, that, I mean, there have been toy systems that have had that, but there, there's never been a widely deployed system that has that capability and then that leads you to the capability. That just like completely blew my mind when I wrap my head around it, which is you can tell the agent to add new functions and features to itself and it can do that.Extend yourself. Yeah. Right? Extend, extend yourself. Like extend yourself. Give yourself a new capability. Right? And so, and so literally it's just like you run into somebody at a party and they're like, oh, I have my open claw, do whatever, connect to my eat, sleep bed, and it gives me better advice and sleep.And you go home at night and you tell your claw, or if they're at the party, by the way, you tell your claw, oh, add this capability to yourself. And your claw will say, oh, okay, no problem. And it'll go out on the internet and it'll figure out whatever it needs and then it'll go out to claw code or whatever.It'll write whatever it needs. And then the next thing you know, it has this new capability. And so you don't even have to, like, you can have it upgrade itself without even having to, without having to do anything other than tell it that you want it to do that. And so anyway, so the, the combination of all this is just, I mean, this is just like a massive, incredible, I mean, it's just incredible.Like if I, if I were, if I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Yeah. And again, pe people are gonna look at it and they already get this response. People are gonna look at it and they're gonna say, oh, well, where's the breakthrough?‘cause these, the, all of these components were already known before. Mm-hmm. But, but this is the key, the key to the breakthrough was by using all these components that were known before, you get all of the underlying capability of that's buried in there. And so all, and so for example, computer use all of a sudden just kind of falls, trivi, trivial.Of course it's gonna be able to use your computer. It has full access to the shell. Right. And then, and then you just, you, you give it access to a browser, and then you've got the computer and the browser and, and often away it goes. And, and then you've got all the abilities of the browser also. Um, yeah.And so, and so the capability unlock here is profound. My friends who are, you know, deepest into this, are having their claw do like a, like, literally like a thousand things in their lives. They have new ideas every day. They're just like constantly throwing new challenges at the thing. And by the way, it's early and, you know, these are, you know, these are prototypes and there are, you know, as you guys know, there's security issues.Yeah. And, and so, you know, there's a bunch of stuff to be ironed out, but the, the unlock of capability is just incredible.swyx: Yeah.Marc: And I, I have absolutely no doubt that everybody in the world is gonna, is gonna have at least, you know, an agent like this, if not an entire family of agents. And w
Four stories from the golden age of science fiction — and none of them end where you think they will. A morgue ship drifting through the wreckage of a space war pulls in something extraordinary. A telethink researcher in the Florida Keys gets a warning from the stars — too late. A beer truck driver spends a sleepless weekend with something he accidentally created in his kitchen sink. And on a planet designed to be paradise, a man locked in a back room finishes building something with his hands. Four writers. Four worlds. Four moments when science fiction and horror become the same thing.*No AI Voices Are Used In The Narration Of This Podcast*IN THIS EPISODE: A crashed alien lifeboat brings a deadly predator to a remote Florida key, where a stubborn hermit and a stranded scientist face a creature that even the galaxy's most advanced civilizations fear. It's “Rough Beast” by Roger Dee. *** Winston Marks brings us the story “The Water Eater”. When a weekend cleaning experiment goes strangely right, a curious beer truck driver discovers he's made something that might not want to stay in the soap bucket. *** Colonists achieve their dream of a perfect world without work or worry, - but is it truly the paradise they had hoped for? James McKimmey brings us the tale “Planet of Dreams.” *** A classic from Ray Bradbury entitled “Lazarus Come Forth” where a morgue ship operator searching for his son's body among the war dead discovers a perfectly preserved scientist from three centuries ago — and the terrible secret he carries. *** It's an anthology of science fiction tonight – all stories I narrated for the Auditory Anthology podcast where you can hear them fully produced with music and sound effects if you want the full experience. Just visit https://www.AuditoryAnthology.comto start listening.CHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:02:11.821 = Lazarus Come Forth00:32:39.228 = Rough Beast ***00:58:22.806 = The Water Eater ***01:24:29.147 = Planet of Dreams ***01:42:00.860 = Show Close*** = Begins immediately after inserted ad breakHELPFUL LINKS & RESOURCES…https://WeirdDarkness.com/ALBUMS = Songs and Videos by our Weird Darkness punk band, #DarkWeirdnesshttps://WeirdDarkness.com/STORE = Tees, Mugs, Socks, Hoodies, Totes, Hats, Kidswear & Morehttps://WeirdDarkness.com/HOPE = Hope For Depression or Thoughts of Self-Harmhttps://WeirdDarkness.com/NEWSLETTER = In-Depth Articles, Memes, Weird DarkNEWS, Videos & Morehttps://WeirdDarkness.com/AUDIOBOOKS = FREE Audiobooks Narrated By Darren Marlar EPISODE BLOG PAGE (includes sources): https://weirddarkness.com/4ForgottenSciFiHorrorTalesSOURCES and RESOURCES:“Lazarus Come Forth” by Ray Bradbury, originally published in Planet Stories, Winter 1944“The Water Eater” by Winston Marks, originally published in Galaxy Science Fiction, June 1953“Rough Beast” by Roger Dee, originally published in Analog Science Fiction Magazine, March 1962“Planet of Dreams” by James McKimmey, Jr., originally published in If Worlds of Science Fiction, September 1953(Over time links may become invalid, disappear, or have different content. I always make sure to give authors credit for the material I use whenever possible. If I somehow overlooked doing so for a story, or if a credit is incorrect, please let me know and I will rectify it in these show notes immediately. Some links included above may benefit me financially through qualifying purchases.)"I have come into the world as a light, so that no one who believes in me should stay in darkness." — John 12:46WeirdDarkness® is a registered trademark. Copyright ©2026, Weird Darkness.Originally aired: March 29, 2026ABOUT WEIRD DARKNESS: #WeirdDarkness is a true crime and paranormal podcast narrated by professional award-winning voice actor, Darren Marlar. Seven days per week, Weird Darkness focuses on all things strange and macabre such as haunted locations, unsolved mysteries, true ghost stories, supernatural manifestations, urban legends, unsolved or cold cases, conspiracy theories, and more. Weird Darkness has been named one of the “20 Best Storytellers in Podcasting” by Podcast Business Journal. Listeners have described the show as a blend of “Coast to Coast AM”, “The Twilight Zone”, “Unsolved Mysteries”, and “In Search Of”.DISCLAIMER: Stories and content in Weird Darkness can be disturbing for some listeners and intended for mature audiences only. Parental discretion is strongly advised.
Europe is on edge after new revelations about Iran's long-range missile capabilities. Reports suggest these weapons could reach far beyond previously claimed limits—triggering panic, shifting alliances, and reigniting debate over global security and leadership decisions. ⚡ SEGMENT SUMMARY BBC reports growing concern across Europe over missile defense gaps John Solomon highlights evidence of Iran's extended missile range Iran reportedly demonstrates capability to strike targets over 2,000+ miles away Concerns rise over missiles potentially designed to carry nuclear payloads NATO leadership warns of global security risks Donald Trump credited by some officials for aggressive countermeasures
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Irish woman awarded damages after her boss repeatedly yelled, "Potato" at her. "Literally Anyone Else" runs for mayor of a Texas town. Braindead woman comes back to life when her ambulance hits a pothole in India. Weird AF News is the only daily weird news podcast in the world. Weird news 5 days/week and on Friday it's only Floridaman. SUPPORT by joining the Weird AF News Patreon http://patreon.com/weirdafnews - OR buy Jonesy a coffee at http://buymeacoffee.com/funnyjones Buy MERCH: https://weirdafnews.merchmake.com/ - Check out the official website https://WeirdAFnews.com and FOLLOW host Jonesy at http://instagram.com/funnyjones - wants Jonesy to come perform standup comedy in your city? Fill out the form: https://docs.google.com/forms/d/e/1FAIpQLSfvYbm8Wgz3Oc2KSDg0-C6EtSlx369bvi7xdUpx_7UNGA_fIw/viewform
In today's show, we recap The Real Housewives of Beverly Hills, but let's just say it left us feeling a little sleepy. Thankfully, the new Ladies of London has arrived to wake things up. Plus, we discuss what the future might hold for Wendy Osefo as her court situation continues to unfold. Let's break down these Hot Messy Topics and all the Bravo chaos. Visit Seagrass Co. Explore UpandAdamLive.com Watch Up and Adam! Channel 2 Listen on Apple Podcasts Join YouTube Memberships Socials Instagram: https://instagram.com/upandadamlive/ Facebook: https://facebook.com/upandadamlive Twitter: https://twitter.com/upandadamlive TikTok: https://www.tiktok.com/@upandadamlive Merch https://shop.upandadamlive.com Inquiries info@upandadamlive.com Disclaimer The views expressed in this video and on Up And Adam Live! are for entertainment purposes only. All content is protected under Fair Use (Copyright Act 1976). Learn more about your ad choices. Visit megaphone.fm/adchoices
What if your spiritual awakening was so powerful, you thought you were being mind controlled? In this episode of Mayim Bialik's Breakdown, Sadhvi Bhagawati Saraswati — global spiritual leader and bestselling author of Come Home to Yourself and Hollywood to the Himalayas — reveals the raw, unfiltered truth about the awakening that shattered her old identity and opened her to a universal realization: everything is connected through unconditional love. But it didn't start peacefully. At first, she thought she was losing her mind. From a science-trained skeptic to a spiritual teacher living in the Himalayas, Sadhviji shares what divinity actually feels like in the body, what happens when your attachment to your identity explodes, and why her awakening was so radical it led to the end of her marriage. Sadhviji breaks down: - Her journey through disordered eating, trauma, abandonment, and codependency before awakening - Why healing childhood wounds is essential so adult triggers stop running your life - Physical process of releasing anger, pain, and stored trauma from the body - What's really holding most of us back from spiritual experiences - How she resists physical temptations and stays grounded in spiritual discipline - Freedom that comes from “Breaking Free of the Self” - How to integrate smaller spiritual experiences (even if you haven't had a lightning-bolt awakening) - Power of holy and sacred places for us as energetic beings - How divine intelligence in nature reveals the “unexplainable” - Why coming into everything with an open heart changes your entire reality With her background in science, Sadhviji also shares her fascinating perspective on watching quantum physics slowly catch up in attempting to explain mystical truths sages have known for millennia, and what it will actually take to spark a global spiritual awakening (hint: it's not as impossible as we think) This isn't just a spiritual story. It's a blueprint for healing, awakening, and living in radical love. If you've ever questioned reality, longed for deeper truth, struggled with trauma, or wondered whether awakening is real, this conversation may change everything. Sadhvi Bhagawati Saraswati's latest book, Come Home to Yourself: Wisdom for Life: https://www.amazon.com/Come-Home-Yourself-Essential-Questions/dp/1647223695 To download the Come Home to Yourself companion workbook, visit: https://sadhviji.org/ Sadhvi Bhagawati Saraswati's memoir, Hollywood to the Himalayas: a Journey of Healing and Transformation: https://a.co/d/0aJRTCuE Sadhvi Bhagawati Saraswati's podcast, Ask Sadhviji: https://sadhviji.org/category/audio/ask-sadhviji-podcast/ Follow us on Substack for Exclusive Bonus Content: https://bialikbreakdown.substack.com/ BialikBreakdown.com YouTube.com/mayimbialik Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
What if your spiritual awakening was so powerful, you thought you were being mind controlled? In this episode of Mayim Bialik's Breakdown, Sadhvi Bhagawati Saraswati — global spiritual leader and bestselling author of Come Home to Yourself and Hollywood to the Himalayas — reveals the raw, unfiltered truth about the awakening that shattered her old identity and opened her to a universal realization: everything is connected through unconditional love. But it didn't start peacefully. At first, she thought she was losing her mind. From a science-trained skeptic to a spiritual teacher living in the Himalayas, Sadhviji shares what divinity actually feels like in the body, what happens when your attachment to your identity explodes, and why her awakening was so radical it led to the end of her marriage. Sadhviji breaks down: - Her journey through disordered eating, trauma, abandonment, and codependency before awakening - Why healing childhood wounds is essential so adult triggers stop running your life - Physical process of releasing anger, pain, and stored trauma from the body - What's really holding most of us back from spiritual experiences - How she resists physical temptations and stays grounded in spiritual discipline - Freedom that comes from “Breaking Free of the Self” - How to integrate smaller spiritual experiences (even if you haven't had a lightning-bolt awakening) - Power of holy and sacred places for us as energetic beings - How divine intelligence in nature reveals the “unexplainable” - Why coming into everything with an open heart changes your entire reality With her background in science, Sadhviji also shares her fascinating perspective on watching quantum physics slowly catch up in attempting to explain mystical truths sages have known for millennia, and what it will actually take to spark a global spiritual awakening (hint: it's not as impossible as we think) This isn't just a spiritual story. It's a blueprint for healing, awakening, and living in radical love. If you've ever questioned reality, longed for deeper truth, struggled with trauma, or wondered whether awakening is real, this conversation may change everything. Sadhvi Bhagawati Saraswati's latest book, Come Home to Yourself: Wisdom for Life: https://www.amazon.com/Come-Home-Yourself-Essential-Questions/dp/1647223695 To download the Come Home to Yourself companion workbook, visit: https://sadhviji.org/ Sadhvi Bhagawati Saraswati's memoir, Hollywood to the Himalayas: a Journey of Healing and Transformation: https://a.co/d/0aJRTCuE Sadhvi Bhagawati Saraswati's podcast, Ask Sadhviji: https://sadhviji.org/category/audio/ask-sadhviji-podcast/ Follow us on Substack for Exclusive Bonus Content: https://bialikbreakdown.substack.com/ BialikBreakdown.com YouTube.com/mayimbialik Learn more about your ad choices. Visit megaphone.fm/adchoices
What if your spiritual awakening was so powerful, you thought you were being mind controlled? In this episode of Mayim Bialik's Breakdown, Sadhvi Bhagawati Saraswati — global spiritual leader and bestselling author of Come Home to Yourself and Hollywood to the Himalayas — reveals the raw, unfiltered truth about the awakening that shattered her old identity and opened her to a universal realization: everything is connected through unconditional love. But it didn't start peacefully. At first, she thought she was losing her mind. From a science-trained skeptic to a spiritual teacher living in the Himalayas, Sadhviji shares what divinity actually feels like in the body, what happens when your attachment to your identity explodes, and why her awakening was so radical it led to the end of her marriage. Sadhviji breaks down: - Her journey through disordered eating, trauma, abandonment, and codependency before awakening - Why healing childhood wounds is essential so adult triggers stop running your life - Physical process of releasing anger, pain, and stored trauma from the body - What's really holding most of us back from spiritual experiences - How she resists physical temptations and stays grounded in spiritual discipline - Freedom that comes from “Breaking Free of the Self” - How to integrate smaller spiritual experiences (even if you haven't had a lightning-bolt awakening) - Power of holy and sacred places for us as energetic beings - How divine intelligence in nature reveals the “unexplainable” - Why coming into everything with an open heart changes your entire reality With her background in science, Sadhviji also shares her fascinating perspective on watching quantum physics slowly catch up in attempting to explain mystical truths sages have known for millennia, and what it will actually take to spark a global spiritual awakening (hint: it's not as impossible as we think) This isn't just a spiritual story. It's a blueprint for healing, awakening, and living in radical love. If you've ever questioned reality, longed for deeper truth, struggled with trauma, or wondered whether awakening is real, this conversation may change everything. Go to https://bioptimizers.com/breaker and use my exclusive code BREAKER for 15% off. Get 15% off Branch Basics with the code BREAK at https://branchbasics.com/BREAK #branchbasicspod Get 15% off OneSkin with the code BREAK at https://www.oneskin.co/BREAK #oneskinpod Check Out Odoo, The all-in-one platform to manage your business by visiting https://www.odoo.com/r/J4l Sadhvi Bhagawati Saraswati's latest book, Come Home to Yourself: Wisdom for Life: https://www.amazon.com/Come-Home-Yourself-Essential-Questions/dp/1647223695 To download the Come Home to Yourself companion workbook, visit: https://sadhviji.org/ Sadhvi Bhagawati Saraswati's memoir, Hollywood to the Himalayas: a Journey of Healing and Transformation: https://a.co/d/0aJRTCuE Sadhvi Bhagawati Saraswati's podcast, Ask Sadhviji: https://sadhviji.org/category/audio/ask-sadhviji-podcast/ Follow us on Substack for Exclusive Bonus Content: https://bialikbreakdown.substack.com/ BialikBreakdown.com YouTube.com/mayimbialik Learn more about your ad choices. Visit megaphone.fm/adchoicesSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
What if your spiritual awakening was so powerful, you thought you were being mind controlled? In this episode of Mayim Bialik's Breakdown, Sadhvi Bhagawati Saraswati — global spiritual leader and bestselling author of Come Home to Yourself and Hollywood to the Himalayas — reveals the raw, unfiltered truth about the awakening that shattered her old identity and opened her to a universal realization: everything is connected through unconditional love. But it didn't start peacefully. At first, she thought she was losing her mind. From a science-trained skeptic to a spiritual teacher living in the Himalayas, Sadhviji shares what divinity actually feels like in the body, what happens when your attachment to your identity explodes, and why her awakening was so radical it led to the end of her marriage. Sadhviji breaks down: - Her journey through disordered eating, trauma, abandonment, and codependency before awakening - Why healing childhood wounds is essential so adult triggers stop running your life - Physical process of releasing anger, pain, and stored trauma from the body - What's really holding most of us back from spiritual experiences - How she resists physical temptations and stays grounded in spiritual discipline - Freedom that comes from “Breaking Free of the Self” - How to integrate smaller spiritual experiences (even if you haven't had a lightning-bolt awakening) - Power of holy and sacred places for us as energetic beings - How divine intelligence in nature reveals the “unexplainable” - Why coming into everything with an open heart changes your entire reality With her background in science, Sadhviji also shares her fascinating perspective on watching quantum physics slowly catch up in attempting to explain mystical truths sages have known for millennia, and what it will actually take to spark a global spiritual awakening (hint: it's not as impossible as we think) This isn't just a spiritual story. It's a blueprint for healing, awakening, and living in radical love. If you've ever questioned reality, longed for deeper truth, struggled with trauma, or wondered whether awakening is real, this conversation may change everything. Go to https://bioptimizers.com/breaker and use my exclusive code BREAKER for 15% off. Get 15% off Branch Basics with the code BREAK at https://branchbasics.com/BREAK #branchbasicspod Get 15% off OneSkin with the code BREAK at https://www.oneskin.co/BREAK #oneskinpod Check Out Odoo, The all-in-one platform to manage your business by visiting https://www.odoo.com/r/J4l Sadhvi Bhagawati Saraswati's latest book, Come Home to Yourself: Wisdom for Life: https://www.amazon.com/Come-Home-Yourself-Essential-Questions/dp/1647223695 To download the Come Home to Yourself companion workbook, visit: https://sadhviji.org/ Sadhvi Bhagawati Saraswati's memoir, Hollywood to the Himalayas: a Journey of Healing and Transformation: https://a.co/d/0aJRTCuE Sadhvi Bhagawati Saraswati's podcast, Ask Sadhviji: https://sadhviji.org/category/audio/ask-sadhviji-podcast/ Follow us on Substack for Exclusive Bonus Content: https://bialikbreakdown.substack.com/ BialikBreakdown.com YouTube.com/mayimbialik Learn more about your ad choices. Visit megaphone.fm/adchoices
When Brood IV of the cicadas awoke in Missouri in the summer of 1998, something awoke with them. And it changed the lives of 5 friends forever. Listen to me on night watchers to get to know me: https://www.youtube.com/@nightwatcherspodcast Learn more about your ad choices. Visit podcastchoices.com/adchoices
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