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Yom Kippur begins sunset of Sunday, September 20, 2026 Ends nightfall of Monday, September 21, 2026 The Old Testament declares that on the holy day of Yom Kippur, the high priest would enter the Holy of Holies and sprinkle blood on the Ark of the Covenant. In this episode, Rabbi continues his study of the fall holy days and we learn about the importance of the blood and how it connects to our salvation in Messiah Jesus. **** BECOME A MONTHLY PARTNER - https://djj.show/YTAPartner **** DONATE - https://djj.show/YTADonate **** TEACHING NOTES - https://djj.show/goa
Genesis 31v17-32v1 with Nijay Gupta What happens when God's promises seem to take a completely different path than the one we expected? Through Jacob's long detour in Genesis, we are reminded that God is present even in the waiting, the disappointment, and the places where we cannot see what he is doing. Bridgetown.church/teaching
Moses' Defining Moment: Lessons from Exodus 32 In this sermon, we delve into the pivotal moment in the life of Moses as described in Exodus 32. This chapter captures a defining moment for Moses and offers profound lessons on faith, leadership, and the nature of divine grace. The Context: A Burning Mountain The scene is set at the base of Mount Sinai, enveloped in the glory of God. The Israelites, having witnessed miraculous events like the parting of the Red Sea and manna from heaven, find themselves in a moment of crisis. Moses is on the mountain receiving God's commandments, leaving the people without their leader. The Crisis: Idolatry in the Camp Despite the visible manifestation of God's presence on the mountain, the Israelites falter. As Exodus 32:1 reveals, they grow impatient and demand Aaron to create a god to lead them, resulting in the infamous golden calf. This act of idolatry not only breaks the first two commandments but also highlights a deeper issue: the people had displaced God with Moses in their hearts. Moses' Response: Intercession and Leadership Upon learning of the people's sin, God expresses His anger and proposes to start anew with Moses, as noted in Exodus 32:10. However, Moses, in a remarkable display of leadership and selflessness, intercedes for the Israelites. He reminds God of His promises to Abraham and pleads for mercy, as detailed in Exodus 32:11-13. Moses' prayer reflects two critical lessons: The Compassion of God: Despite the people's rebellion, God's mercy triumphs over judgment. The Power of Intercession: Moses' willingness to stand in the gap for his people underscores the impact one person's prayer can have. The Aftermath: A Call to Repentance Returning to the camp, Moses confronts the sin head-on. He destroys the golden calf, holds the people accountable, and seeks to restore their relationship with God. In Exodus 32:30, Moses acknowledges the gravity of their sin and seeks atonement on their behalf. A Foreshadowing of Christ Moses' offer to sacrifice himself for the people's atonement foreshadows the ultimate sacrifice made by Jesus Christ. While Moses could not die for their sins, his willingness points to the greater redemption found in Christ, who offers forgiveness and restores us to God. Reflection: Modern-Day Idolatry The sermon concludes with a challenge to examine our own lives for modern-day idols. Have we allowed God's blessings to displace Him in our hearts? Are we relying on jobs, status, or possessions for security instead of God? Questions for Reflection: Have you allowed any blessings to become idols in your life? Are you praying for those you love to experience God's forgiveness? Have you accepted the gift of forgiveness through Jesus Christ? This message calls us to realign our priorities, embrace the forgiveness offered through Jesus, and live a life that reflects His glory. As we navigate our own defining moments, may we find courage and strength in our faith, knowing that through Christ, we can experience our finest hour.
Episode 5579: Left Wing Organizations Rally To Steal 2026; Is Spain Foreshadowing What Is To Come
Today, Pastor Al Dagel opens the Book of Leviticus, which is like no other Book. In it, we find the intricate instructions to worshipers of Jehovah as they learn about the foreshadowing of how the plan of our redemption would unfold.
The trade deadline is upon us with one of baseball's best insiders.... The Skubal Concern Reactions to Atlanta's 3 current deals Foreshadowing another starter for the Braves? See omnystudio.com/listener for privacy information.
The trade deadline is upon us with one of baseball's best insiders.... The Skubal Concern Reactions to Atlanta's 3 current deals Foreshadowing another starter for the Braves? See omnystudio.com/listener for privacy information.
Send us Fan MailSeptember starts and the journey bring some very interesting changes.Visit our website: www.VanillawithaSideofKink.comInstagram: VanillawithaSideofKinkAlso, you can learn more about our Shibari Rope Bondage business at www.AllTiedUpSanDiego.comAnd our new operation, the All Good Things Center for Inclusivity and Acceptance. Fetlife.com Group: Vanilla with a Side of Kink - The Podcast
The trade deadline is upon us with one of baseball's best insiders.... The Skubal Concern Reactions to Atlanta's 3 current deals Foreshadowing another starter for the Braves? See omnystudio.com/listener for privacy information.
Dana and Tom with special guest, Reed Arnold (Writer, Director, and Star of Do Us Part (2026)) discuss Crazy, Stupid, Love (2011) for its 15th Anniversary: directed by Glenn Ficarra and John Requa, written by Dan Fogelman, cinematography by Andrew Dunn, music by Christophe Beck and Nick Urata, editing by Lee Haxall, starring Steve Carell, Ryan Gosling, Julianne Moore, Emma Stone, Marisa Tomei, and Kevin Bacon.Plot Summary: Up next is a film from 2011 that takes the age-old Hollywood trope of the cinematic makeover and turns it completely on its ear. It's Crazy, Stupid, Love.Now, when we meet Cal Weaver—played with a wonderful, understated desperation by Steve Carell—he is a man whose comfortable, suburban life has just evaporated over dessert. His high school sweetheart and wife of twenty-five years, played by a luminous Julianne Moore, announces she wants a divorce. Suddenly, Cal finds himself cast adrift in the unfamiliar and deeply hostile waters of the modern dating scene.Enter Jacob Palmer, a suave, cynical, and impossibly sharp-dressed bachelor who treats the local lounge like his own personal kingdom. He's played by Ryan Gosling, channeling the kind of effortless, magnetic charisma that would make Cary Grant proud. Jacob takes pity on our broken-hearted protagonist, deciding to mentor Cal in the fine arts of tailored suits, confident posture, and the precise chemistry of the pickup line.But what makes Dan Fogelman's screenplay so compelling isn't just the transformation of Cal. It is how the film expertly weaves multiple generations of romance into a single, chaotic tapestry. We see Cal's teenage son harboring a fierce, agonizing crush on his older babysitter, who in turn harbors her own secret affection. Meanwhile, Jacob—the ultimate, uncatchable playboy—finds his own defenses completely dismantled by a sharp-witted law student, played with incredible comic timing by Emma Stone.It's a film that balances the slick, sophisticated banter of classic 1930s screwball comedies with a raw, very contemporary vulnerability. It reminds us that no matter our age, experience, or wardrobe, love has a way of making fools out of all of us.Chapters00:12 Introduction to Crazy, Stupid, Love06:06 Exploring the Plot and Themes12:05 Character Relationships and Development18:10 Masculinity and Love in the Film24:05 The Makeover Trope and Its Implications33:14 Navigating Relationships and Growth34:38 The Evolution of Long-Term Relationships36:20 Understanding Relationship Dynamics38:16 Stereotypes and Relationship Expectations39:09 Behind the Scenes of Filmmaking42:15 Foreshadowing and Directorial Choices48:45 Cultural Moments in Film52:11 Influences and Inspirations in Filmmaking01:00:49 Antagonists and Character Dynamics01:04:27 Nostalgia and College Experiences01:06:48 Navigating the Film Festival Circuit01:09:23 The Fight for Attention in Film01:11:45 Personal Experiences in Storytelling01:20:11 Choosing Between Writing, Directing, and Acting01:37:01 Best Scene(s)01:45:21 Best Line(s)01:51:14 The Stanley Rubric - Legacy02:02:16 The Stanley Rubric - Novelty02:15:46 The Stanley Rubric - Classicness02:22:31 The Stanley Rubric - Rewatchability02:29:01 Final Questions and ThoughtsYou can also find this episode in full video on YouTube.You can now follow us on Instagram, Twitter, Bluesky, Threads, YouTube, or TikTok (@gmoatpodcast).For more on the episode, go to: https://www.ronnyduncanstudios.com/post/crazy-stupid-love-2011-ft-reed-arnoldFor the entire rankings list so far, go to: https://www.ronnyduncanstudios.com/post/greatest-movie-of-all-time-listKeywords:Crazy Stupid Love, movie review, film analysis, Ryan Gosling, Steve Carell, romantic comedy, anniversary, movie discussion, film critique, best rom-coms, Emma Stone, discussion, romantic, comedy, film discussion, movie scenes, Hollywood, Crazy, Stupid, Love movie, podcast, podcast discussion, podcast episode, movie podcast, film podcast, rom-com, legacy, classic, rewatch, novelty, audience scoreRonny Duncan Studios
Foreshadowing the Gospel Pastor Brady Download Pastor Brady DeBoer will present a message entitled “Foreshadowing the Gospel”. He will be looking at the book of Genesis chapter 15.Pastor Brady walks us through one of the most unique passages in the Bible and shows how it points forward to the goodness of Jesus.
Today we are debuting here our brand-new, short-form podcast, The Blister Vault. First up: a few highlights from the first podcast conversation Cody and Jonathan ever recorded.Note: We Want to Hear From You!We'd love for you to share with us the stories or topics you'd like us to cover next month on Reviewing the News; ask your most pressing mountain town advice questions, or offer your hot takes for us to rate. Email us at: info@blisterreview.comRELATED LINKS: Subscribe to The VaultMomentous: livemomentous.com use code: BlisterOneSkin: oneskin.co/BLISTERGet Yourself Covered: BLISTER+Order our 26/27 Winter Buyer's GuideEnter Our Free Weekly Gear GiveawaysTOPICS & TIMES:Welcome to The Vault (0:00)Cody, Snowballs, & Ski Racing (4:08)Foreshadowing of What Was to Come (11:12)CHECK OUT OUR OTHER PODCASTS:The VaultBlister CinematicCRAFTEDBikes & Big IdeasGEAR:30 Hosted on Acast. See acast.com/privacy for more information.
In the previous devotional, I talked about how the future is beautiful. Yes, there can be ugliness in our world, but it won't always be this way. This is partly based on passages like 2 Peter 3:13 where the apostle says this: “But according to his promise we are waiting for new heavens and a […]
Are you ready to step out of your wilderness season and into true spiritual authority? In this message, Speaker Elliott Warren reveals how the transition of power from Elijah to Elisha wasn't just history—it's a direct roadmap for how the Holy Spirit wants to empower you today. We all experience testing, trials, and dry wilderness seasons where we feel weak or disconnected. But what if your current trial is actually preparing you to receive a double portion of spiritual breakthrough? Drawing deep parallels between the mantle of Elisha and the empowering ministry of Jesus Christ, this sermon will challenge you to raise your expectations and stop settling for empty religious programs. You will learn the crucial difference between the Holy Spirit living within you versus coming upon you to minister to a broken world. If you are ready to stop fighting battles in your own strength and start walking in the bold, miraculous authority God has promised, this word is exactly what you need to hear. 00:00:00 A New Spiritual Season: Recognizing the Rain of Growth 00:05:00 The Foreshadowing of the Christian Vision (Elijah & Elisha) 00:09:00 Audacious Faith: Asking God for a Double Portion Anointing 00:13:30 The Mantle of Authority: Clothed With Spiritual Power 00:19:30 Fulfilling the Ministry: Prophecy,authorities, and Faith 00:23:00 From Jesus to the Church: The Ultimate Hand-Off of Power 00:28:00 Surviving the Wilderness: Overcoming Temptation and Discouragement 00:34:40 Stepping Out in Power: Preaching the Gospel to the Poor 00:40:00 Holy Spirit Within You vs. Holy Spirit Upon You 00:44:00 Spiritual Warfare Today: Healing the Brokenhearted and Setting Captives Free 00:51:30 A Heart for the Messy Church: What True Outpourings Look Like 00:56:00 Restoring the Fear of God and Cleansing Fleshy Ministries 01:00:00 Where is the God of Elijah? Activating Miracles Today 01:02:40 Closing Prayer: Pulling on the Outpouring of the Holy Spirit #sermon #church #faith #Jesus #HolySpirit #ElijahAndElisha #SpiritualAuthority #DoublePortion #OvercomingTrials #FaithOverFear #MiraclesToday #ChristianGrowth #SpiritualBreakthrough If this sermon built your faith today, please make sure to SUBSCRIBE to our channel, LIKE this video, and click the notification bell so you never miss a message! Don't forget to SHARE this link with someone who needs encouragement this week. Welcome to the official channel of Cross Culture Global, the digital-first media ministry of Cross Culture Church, led by Pastor Elliott Warren. We believe following Jesus isn't a Sunday tradition—it's a radical way of living in today's world. Our mission is to move beyond motivation to deliver profound biblical teaching with raw, real-life application. We dive deep into the complex and often "off-limits" topics that matter most. What you'll find here: Raw Truth: Deep biblical insights for a today's culture. Global Community: A virtual-first community reaching every corner of the earth. New Here? Learn more about us: crossculturechurch.com Give online: crossculturechurch.com/give Listen on Spotify: https://open.spotify.com/show/5TKYUWdiK0N204bF6b4U4w Watch on TikTok: https://www.tiktok.com/@crosscultureglobal Follow on Facebook: https://www.facebook.com/CrossCultureGlobal/ Sermones disponibles en español. / الخطب متوفرة بالعربية / हिंदी में उपदेश उपलब्ध / 提供中文讲道
Die Drachen tanzen, und die Menschen sind wie Staub unter ihren Füßen. Nur ein Grund, weswegen wir heute mal wieder über HOUSE OF THE DRAGON reden. Anlässlich des Starts der 3. Staffel, haben sich unsere beiden Westeros-Veteranen Tim und Schröck mal wieder im Studio eingesperrt, um schon mal ein wenig bis ausführlich über die ersten 3 Folgen zu quatschen. Inklusive einer kurzen Zusammenfassung der bisherigen Ereignisse. Demzufolge wird es unter anderem natürlich um DIE SCHLACHT AN DER GURGEL aka THE BATTLE OF THE GULLET und all ihre Folgen gehen, um die On-Off-Beziehung von Alicent und Rhaenyra, wie bislang wieder mit den Themen Härte und Sex umgegangen wird, darüber ob Staffel 3 die Spannung wieder herstellen und halten kann oder ob die Verbindungen zu GAME OF THRONES und das ewige Foreshadowing wirklich notwendig sind. Abgerundet durch viele kleine oder größere Beobachtungen drumherum. Dabei wünschen wir Euch wie immer viel Vergnügen oder hoffen, dass wir uns ansonsten so schnell wie möglich bei einem anderem Thema, dass Euch mehr liegt, wieder hören. Und für alle gilt selbstverständlich: bleibt bitte so gesund wie gut drauf. Farewell. 00:00:00 Begrüßung & Themenvorstellung 00:01:41 Bisher bei House of the Dragon 00:02:30 Ende Staffel 2 & Anfang Staffel 3 00:06:42 The Battle of the Gullet 00:20:13 Konnte Staffel 3 die Spannung bisher halten? 01:07:59 Foreshadowing & Verbindungen zu GoT 01:18:48 Die Härte bisher 01:21:08 Verabschiedung
This edition of Foreshadowing Tech considers how so many AI speculations from Colossus: The Forbin Project have come true in both surprising and subtle ways. Regular panelists Chuck Joiner, Marty Jencius, Jeff Gamet, are joined by guest AI enthusiast Jill McKinley to look at how the film predicted things like machine autonomy, surveillance, privacy and self-improving systems. Wrapped in a thriller that is as much political as it is tech, there are questions about freedom and security that we have yet to address today. The panel mixes film trivia, tech analysis, and unsettling parallels to today's AI debates in a thoughtful discussion. Show Notes: Chapters: 00:00 Introduction to Colossus: The Forbin Project and the Foreshadowing Tech premise 01:17 First impressions, panel introductions, and why the film still matters 03:55 Plot overview: Colossus, Guardian, and the loss of control 05:07 The original novels, sequels, and abandoned remake plans 07:59 Cast trivia, Eric Braeden, Susan Clark, and familiar TV faces 10:26 The film's technology, monitors, hardware, and production design 13:02 How 1970s computer imagery created mystery and menace 16:40 The real-world Colossus name and connections to codebreaking history 20:13 Forbin, ego, AI creators, and modern tech-bro parallels 24:50 Human arrogance, political power, and underestimating machines 26:53 Colossus and Guardian develop their own language 28:40 Predictive AI, medical promise, and solving problems beyond human speed 30:10 Self-improving systems and comparisons to current AI development 32:04 Would Colossus have taken control without Guardian? 35:40 Nuclear threats, punishment, and ruthless machine logic 39:28 Was Colossus protecting humanity or threatening it? 45:01 Public reactions, acceptance, fear, and the Colossus T-shirt moment 47:54 Surveillance, cameras, microphones, and today's self-built monitoring state 50:36 The human millennium: peace, control, and the illusion of freedom 54:36 AI, military efficiency, Flock cameras, and real-world surveillance debates 59:53 Creativity, totalitarianism, and stories of humans versus machines 1:00:54 Links to Dr. Strangelove, Fail Safe, 2001, WarGames, and Harlan Ellison 1:03:39 Forbin as a resistance figure and the “Wolverines” comparison 1:04:46 Who was most naive: the government, Forbin, Colossus, or the public? 1:07:13 Technology, unintended consequences, and AI that can advance itself 1:09:14 Guest wrap-up and where to find Jill, Jeff, and Marty 1:12:19 Closing credits and support information Links: Colossus: The Forbin Project (Wikipedia entry): https://en.wikipedia.org/wiki/Colossus:_The_Forbin_Project Colossus: The Forbin Project [Blu-ray] https://amzn.to/4vKqGYk Colossus: The Forbin Project [Prime Video] https://amzn.to/3SD9LZ3 Guests: Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on X and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. Marty Jencius, Ph.D.,is a counselor educator and technology pioneer who has spent 30 years bringing emerging tech into his field — from founding one of the first professional listservs (CESNET-L) to podcasting, virtual reality, and now AI and AR. He is the founder of ThePodTalk.net, where he produces Vision ProFiles, The Old Mac Gang, A.I. Productivity Workflow, The Tech Savvy Professor, 15 Minute Bytes, The Neo Notebook, and Fade to Chat: Golden Age Cinema. He is also a regular panelist on MacVoices Live!, In Touch with iOS, and The Mac Show. Find him on Bluesky and Mastodon. Jill McKinley is a Health IT professional, lifelong learner, and Northwoods dweller who believes wisdom hides in plain sight — in Scripture, in nature, in the habits we build and the questions we dare to ask. She publishes a variety of podcasts on those topics as well as productivity, AI, and tech at JillFromTheNorthWoods.com. Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
This edition of Foreshadowing Tech considers how so many AI speculations from Colossus: The Forbin Project have come true in both surprising and subtle ways. Regular panelists Chuck Joiner, Marty Jencius, Jeff Gamet, are joined by guest AI enthusiast Jill McKinley to look at how the film predicted things like machine autonomy, surveillance, privacy and self-improving systems. Wrapped in a thriller that is as much political as it is tech, there are questions about freedom and security that we have yet to address today. The panel mixes film trivia, tech analysis, and unsettling parallels to today's AI debates in a thoughtful discussion. Show Notes: Chapters: 00:00 Introduction to Colossus: The Forbin Project and the Foreshadowing Tech premise 01:17 First impressions, panel introductions, and why the film still matters 03:55 Plot overview: Colossus, Guardian, and the loss of control 05:07 The original novels, sequels, and abandoned remake plans 07:59 Cast trivia, Eric Braeden, Susan Clark, and familiar TV faces 10:26 The film's technology, monitors, hardware, and production design 13:02 How 1970s computer imagery created mystery and menace 16:40 The real-world Colossus name and connections to codebreaking history 20:13 Forbin, ego, AI creators, and modern tech-bro parallels 24:50 Human arrogance, political power, and underestimating machines 26:53 Colossus and Guardian develop their own language 28:40 Predictive AI, medical promise, and solving problems beyond human speed 30:10 Self-improving systems and comparisons to current AI development 32:04 Would Colossus have taken control without Guardian? 35:40 Nuclear threats, punishment, and ruthless machine logic 39:28 Was Colossus protecting humanity or threatening it? 45:01 Public reactions, acceptance, fear, and the Colossus T-shirt moment 47:54 Surveillance, cameras, microphones, and today's self-built monitoring state 50:36 The human millennium: peace, control, and the illusion of freedom 54:36 AI, military efficiency, Flock cameras, and real-world surveillance debates 59:53 Creativity, totalitarianism, and stories of humans versus machines 1:00:54 Links to Dr. Strangelove, Fail Safe, 2001, WarGames, and Harlan Ellison 1:03:39 Forbin as a resistance figure and the "Wolverines" comparison 1:04:46 Who was most naive: the government, Forbin, Colossus, or the public? 1:07:13 Technology, unintended consequences, and AI that can advance itself 1:09:14 Guest wrap-up and where to find Jill, Jeff, and Marty 1:12:19 Closing credits and support information Links: Colossus: The Forbin Project (Wikipedia entry): https://en.wikipedia.org/wiki/Colossus:_The_Forbin_Project Colossus: The Forbin Project [Blu-ray] https://amzn.to/4vKqGYk Colossus: The Forbin Project [Prime Video] https://amzn.to/3SD9LZ3 Guests: Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on X and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. Marty Jencius, Ph.D.,is a counselor educator and technology pioneer who has spent 30 years bringing emerging tech into his field — from founding one of the first professional listservs (CESNET-L) to podcasting, virtual reality, and now AI and AR. He is the founder of ThePodTalk.net, where he produces Vision ProFiles, The Old Mac Gang, A.I. Productivity Workflow, The Tech Savvy Professor, 15 Minute Bytes, The Neo Notebook, and Fade to Chat: Golden Age Cinema. He is also a regular panelist on MacVoices Live!, In Touch with iOS, and The Mac Show. Find him on Bluesky and Mastodon. Jill McKinley is a Health IT professional, lifelong learner, and Northwoods dweller who believes wisdom hides in plain sight — in Scripture, in nature, in the habits we build and the questions we dare to ask. She publishes a variety of podcasts on those topics as well as productivity, AI, and tech at JillFromTheNorthWoods.com. Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
A verse-by-verse Bible study class. This study covers Romans 1:2-10Topics: Paul's improvisational writing style and "method to his madness" -- Foreshadowing of major Roman doctrines in the introductory greeting -- The Gospel as a promise fulfilled from Old Testament prophecy -- Justification by faith -- Typology and the unified theme of Christ across both Testaments -- The dual nature of Christ: His earthly humanity and divine power -- Christ as the "anti-Adam" who reverses the fall of humanity -- The inclusion of Gentiles in the promise made to Abraham -- The biblical sequence of "obedience that comes from faith" -- The church's mandate to welcome sinners and facilitate the Holy Spirit's sanctifying power -- The radical nature of being called to "belong to Jesus Christ" as servants -- The prerequisite of divine grace for experiencing true peace -- The significance of praying "through Jesus Christ" as our mediator.FYI, Scott Sperling hosts a bi-weekly, live, interactive, verse-by-verse Bible study via Zoom. If you're interested in attending, you can email me at ssper@scripturestudies.comFor more Bible studies, visit ScriptureStudies.com
We're back! In this episode, Keemie is joined by Mema to review the intense season premiere of Raising Kanan, exploring character arcs, plot twists, and predictions for the season. Join us as we break down the key moments and what they mean for the series' future.Chapters00:00 The Shocking Start of Raising Kanan (Lou's Death)03:12 Character Dynamics and Relationships06:12 Raq's Crumbling Empire09:14 Kanan's Transformation12:07 The Consequences of Choices15:02 The Emotional Detachment of Kanan18:01 Foreshadowing and Future Implications24:53 The Agents of Chaos27:02 The Smartest Players in the Game29:15 The Arrival of Breeze32:50 Unique's Uncertain Future37:25 Marvin's Redemption Arc46:17 Outro
The debut of a new MacVoices' series, Foreshadowing Tech, examines how science fiction has influenced real-world technology using 2001: A Space Odyssey and 2010: The Year We Made Contact as the first case study. Chuck Joiner, Jeff Gamet, and Marty Jencius discuss the depictions of various technologies, and how they measure up to the current state of things, including space travel, tablets, biometrics, HAL, AI, cryosleep, movie aesthetics, and the lasting cultural impact of both films. Show Notes: Chapters: [0:00] Introducing Foreshadowing Tech and the science fiction premise[2:58] Why 2001 and 2010 are paired for the first discussion[4:24] First experiences watching 2001 and its lasting impact[9:01] Kubrick, Clarke, pacing, silence, and storytelling choices[15:00] Scientific accuracy, Saturn versus Jupiter, and cinematic changes[18:29] Early examples of technology predictions in 2001[20:35] Voiceprint identification, biometrics, and authentication[24:00] Zero-gravity toilets and real-world spaceflight comparisons[26:14] Tablets, flat displays, and consumer technology foreshadowing[29:35] Civilian space travel, deep space missions, and artificial gravity[33:54] HAL, AI, LLMs, sentience, and machine decision-making[40:00] AI relationships, hallucinations, mission conflict, and trust[45:00] Electric vehicles and everyday future tech in 2010[47:30] Visual aesthetics, spacecraft design, and film-era differences[50:00] Politics, cooperation, and international tension in 2010[53:18] How 2001 shaped later science fiction filmmaking[55:33] Monoliths, evolution, alien contact, and social implications[59:58] Cryosleep, life extension, and changing personal timelines[63:01] Star Child, afterlife ideas, and philosophical reactions[68:14] Future episodes, audience feedback, and closing thoughts[70:00] Panelist projects and final credits Guests: Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. Marty Jencius, Ph.D.,is a counselor educator and technology pioneer who has spent 30 years bringing emerging tech into his field — from founding one of the first professional listservs (CESNET-L) to podcasting, virtual reality, and now AI and AR. He is the founder of ThePodTalk.net, where he produces Vision ProFiles, The Old Mac Gang, A.I. Productivity Workflow, The Tech Savvy Professor, 15 Minute Bytes, The Neo Notebook, and Fade to Chat: Golden Age Cinema. He is also a regular panelist on MacVoices Live!, In Touch with iOS, and The Mac Show. Find him on Bluesky and Mastodon. Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
The debut of a new MacVoices' series, Foreshadowing Tech, examines how science fiction has influenced real-world technology using 2001: A Space Odyssey and 2010: The Year We Made Contact as the first case study. Chuck Joiner, Jeff Gamet, and Marty Jencius discuss the depictions of various technologies, and how they measure up to the current state of things, including space travel, tablets, biometrics, HAL, AI, cryosleep, movie aesthetics, and the lasting cultural impact of both films. Show Notes: Chapters: [0:00] Introducing Foreshadowing Tech and the science fiction premise [2:58] Why 2001 and 2010 are paired for the first discussion [4:24] First experiences watching 2001 and its lasting impact [9:01] Kubrick, Clarke, pacing, silence, and storytelling choices [15:00] Scientific accuracy, Saturn versus Jupiter, and cinematic changes [18:29] Early examples of technology predictions in 2001 [20:35] Voiceprint identification, biometrics, and authentication [24:00] Zero-gravity toilets and real-world spaceflight comparisons [26:14] Tablets, flat displays, and consumer technology foreshadowing [29:35] Civilian space travel, deep space missions, and artificial gravity [33:54] HAL, AI, LLMs, sentience, and machine decision-making [40:00] AI relationships, hallucinations, mission conflict, and trust [45:00] Electric vehicles and everyday future tech in 2010 [47:30] Visual aesthetics, spacecraft design, and film-era differences [50:00] Politics, cooperation, and international tension in 2010 [53:18] How 2001 shaped later science fiction filmmaking [55:33] Monoliths, evolution, alien contact, and social implications [59:58] Cryosleep, life extension, and changing personal timelines [63:01] Star Child, afterlife ideas, and philosophical reactions [68:14] Future episodes, audience feedback, and closing thoughts [70:00] Panelist projects and final credits Guests: Jeff Gamet is a technology blogger, podcaster, author, and public speaker. Previously, he was The Mac Observer's Managing Editor, and the TextExpander Evangelist for Smile. He has presented at Macworld Expo, RSA Conference, several WordCamp events, along with many other conferences. You can find him on several podcasts such as The Mac Show, The Big Show, MacVoices, Mac OS Ken, This Week in iOS, and more. Jeff is easy to find on social media as @jgamet on Twitter and Instagram, jeffgamet on LinkedIn., @jgamet@mastodon.social on Mastodon, and on his YouTube Channel at YouTube.com/jgamet. Marty Jencius, Ph.D.,is a counselor educator and technology pioneer who has spent 30 years bringing emerging tech into his field — from founding one of the first professional listservs (CESNET-L) to podcasting, virtual reality, and now AI and AR. He is the founder of ThePodTalk.net, where he produces Vision ProFiles, The Old Mac Gang, A.I. Productivity Workflow, The Tech Savvy Professor, 15 Minute Bytes, The Neo Notebook, and Fade to Chat: Golden Age Cinema. He is also a regular panelist on MacVoices Live!, In Touch with iOS, and The Mac Show. Find him on Bluesky and Mastodon. Support: Become a MacVoices Patron on Patreon http://patreon.com/macvoices Enjoy this episode? Make a one-time donation with PayPal Connect: Web: http://macvoices.com Twitter: http://www.twitter.com/chuckjoiner http://www.twitter.com/macvoices Mastodon: https://mastodon.cloud/@chuckjoiner Facebook: http://www.facebook.com/chuck.joiner MacVoices Page on Facebook: http://www.facebook.com/macvoices/ MacVoices Group on Facebook: http://www.facebook.com/groups/macvoice LinkedIn: https://www.linkedin.com/in/chuckjoiner/ Instagram: https://www.instagram.com/chuckjoiner/ Subscribe: Audio in iTunes Video in iTunes Subscribe manually via iTunes or any podcatcher: Audio: http://www.macvoices.com/rss/macvoicesrss Video: http://www.macvoices.com/rss/macvoicesvideorss
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Your weekly horoscope for 6/1/26 - 6/7/26Coming to you from Provincetown, Ma (aka gaycationland) COME ON OVER TO THE PATREON: https://www.patreon.com/cw/missguidedastrology==================================TRANSITS & TIMESTAMPS02:41 Monday - Mercury in Cancer, Foreshadowing the venus/jupiter conjunction 03:52 Tuesday - Sun sextile Saturn 04:38 Wednesday - Mercury square Neptune 05:09 Sunday - Uranus at the nodal bendings ==================================Want a birth chart analysis (KTs personal hot takes on your personal Birth chart)? or a birth chart report (all about you)?or a solar return report (predictive astrology for the year ahead)?visit: missguidedastrology.com/shop TIP ME ON VENMO: @Katie-Fitzgerald23==================================Review us on -insert your podcast app of choice here- OR shout us out on socials for a free Birth Chart Report!Find our mother pod: Miss Guided Astrology. Do you have a question only the sky and KT can answer? Send us an email .HOW TO CONTACT US:email: MissGuidedAstrology@gmail.com Website: missguidedastrology.com IG: Miss Guided AstrologyTiktok: @katiedoesntfitz
Can a villain in Scripture still function as a type of Christ?In this episode of Shadows to Substance, Pastor George Sayour responds to criticism surrounding the claim that Saul — particularly in 1 Samuel 11 — can be understood typologically.Using Romans 5, Hebrews, biblical parallels, and examples from Adam, Jonah, Solomon, Cyrus, Isaac, and Saul, this episode explains how biblical typology works through both comparison and contrast.A type is not morally identical to Christ. Rather, Scripture uses patterns, echoes, and narrative structures to point us to Jesus as the greater and final fulfillment.This episode explores:• Biblical typology explained• Saul as a possible type of Christ• Adam and Christ parallels• Jonah as a foreshadowing pattern• Shadows and substance in Scripture• How the New Testament interprets the Old TestamentIf you enjoy covenant theology, biblical theology, typology, and Christ-centered interpretation of Scripture, subscribe to Eschatology Matters Network for weekly episodes.Watch all of our videos and subscribe to our channel for the latest content >HereHere
FILM FESTIVAL TICKETS: https://buytickets.at/thedopeyfoundation/2216905 PATREON: www.patreon.com/dopeypodcast Summary On this Dopey Monday Total Replay, Dave looks back at Dopey Episode 28, one of the strangest and creepiest early episodes of the show. It features Dave, Chris, and graphic-design Ryan — the guy who made the original Dopey logo — talking through old Lower East Side drug energy, the first major Dopey fan emails, weird ego stuff, drug stories, recovery, Rob Reiner, Nick Reiner, and a whole lot of eerie foreshadowing. Dave reflects on how painful it is to hear Chris again, knowing he died in 2018, and uses the episode to make a simple but brutal point: if Chris had stayed in recovery, he probably wouldn't have died. The replay itself is classic early Dopey: messy, funny, dark, uncomfortable, and weirdly prophetic. Ryan tells a story about refusing to leave a drug pickup even after a guy puts a gun to his head. Chris talks about addiction, genetics, rats drinking heroin water, and recovery. Dylan randomly calls in right as Dave is talking about Dylan from 90210, which feels like Dopey synchronicity. The episode also includes the first big fan email from Tina in Philadelphia, Dave getting wounded by being called “Dan,” and a long, now-haunting conversation about Rob Reiner and Nick Reiner before Nick ever appeared on Dopey. It's funny, painful, and very Dopey. PLUS Drugs, addiction and dumb shit on the new/old 10 year anniversary of this episode!(of Dopey) Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
The IPS DEPROGRAM (May 12, 2026) broadcast examines the “theater of Cywar,” focusing on how the “Meta Script” uses pre-scripted events and media archetypes to manage public perception. The host deconstructs the current Hantavirus narrative, the financial exploitation behind Trump-branded products, and the “concurrent programming” found in the television series The Boys. Central to the discussion is the concept of the “Endarkenment”—a post-truth era where systemic media fakery is so ubiquitous that it functions as a new form of monotheism. The episode serves as a guide for “informed disbelievers” to opt out of the “internalized Truman Show” by recognizing the logical fallacies and scripted subplots of both mainstream and alternative media.Topic 1: The Hantavirus “Plague Hoax” and Crisis ActorsThe broadcast argues that the current Hantavirus outbreak is a “PR stunt” recycled from previous pandemic narratives. The host identifies Jake Rosemary as a crisis actor who appeared in both the 2020 COVID-19 event and the current cruise ship emergency.* Recycled tropes: The use of cruise ships (mirroring the Diamond Princess) and viral videos to create a “closed system” of fear.* Contracted activism: Anti-vaxxer influencers are seen as part of the script, pushing “genocide” narratives to keep the public reactive.* Symbolic overlaps: The “deer mouse” and “bat” symbolism on currency and in media are viewed as indicators of a coordinated campaign.* Psychosomatic effects: The host suggests that fear of external threats, like “chemtrails,” causes real psychological distress through the nocebo effect.* Contract renewals: The reappearance of familiar faces in viral news suggests “renewed contracts” for media performers.Quote: “There are too many things that signify that this latest plague hoax is some kind of a PR stunt”.Topic 2: The Trump “Golden Phone” and Financial KayfabeThe host analyzes the $59 million generated by Donald Trump's “golden phones,” which have reportedly failed to ship a year after purchase. This is presented as a case study in how the “world stage” exploits political loyalty for profit.* White-label marketing: The phones are described as generic hardware with a logo stamp to minimize liability.* Unfulfilled guarantees: The company's removal of delivery and refund guarantees is highlighted as a red flag.* The “Golden Statue” connection: The phone marketing is linked to the broader “golden” branding used in political and fictional contexts.* Kayfabe drama: Political squabbles are dismissed as “world stage drama” designed to keep the public engaged.* Alternative products: The host suggests that even “phone cases” would have been a more viable, less litigious marketing strategy.Quote: “600,000 people handed over their money for what is essentially a white label phone”.Topic 3: Concurrent Programming in The BoysThe episode provides an in-depth analysis of how the TV series The Boys serves as “platforming for predictive programming,” paralleling real-world events with impossible timing.* The Homelander/Trump parallel: Scenes involving golden statues and bibles in the show directly mirror recent news events.* Foreshadowing assassination: The show's narrative beats, including an assassination attempt and a title change for the finale, are cited as evidence of coordination.* The MTG fallout: The character “Firecracker” turning on Homelander is seen as a scripted parallel to Marjorie Taylor Greene's changing relationship with Trump.* Musk-like archetypes: Media depictions of eccentric billionaires (like those in The Boys spin-off Gen V or Mountainhead) are viewed as warnings for upcoming societal disruptions.* The “Simulation” stop-gap: “Normies” use the concept of a simulation to explain these overlaps because they cannot process the idea of a pre-scripted reality.Quote: “The Homelander scene with the Bible and the Homelander golden statue... Both of these are mirroring what just happened with Trump”.Topic 4: The Coming “Mind Virus” and Internet LockdownThe host predicts that the “next pandemic” will not be biological but a “mind virus” used as a pretext to lock down the internet and silence dissent.* Media precursors: Films like 28 Days Later and Civil War are used to socialize the idea of infectious ideological violence.* The “Plot Device”: References to fictional technologies that turn phone users violent (as seen in Naked Gun or Mountainhead) are discussed as predictive programming.* Bunker culture: The narrative of elites retreating to bunkers is viewed as a way to prepare the public for total societal chaos.* AI and Aliens: The host suggests AI might be the “alien” force used to justify hyper-centralized control.* Collective “Crate Training”: The 2020 lockdowns are seen as a test to ensure the public is “lockdown-able” for future events like EMPs or fallout drills.Quote: “The next pandemic is not going to be a virus. It's going to be a mind virus... something they have to lock down the internet for”.Topic 5: Debunking “Trutherville” and Crow InstabilityA significant portion of the show is dedicated to “quarantining” media consumers from logical fallacies, specifically regarding chemtrails and the “lunar wave”.* Crow Instability: The host explains that “wavy” contrails are a known physics phenomenon caused by wingtip vortices, not “poison”.* The Lunar Wave hoax: The “lunar wave” captured by Crow777 is debunked as an atmospheric disturbance from passing aircraft.* Faulty Causality: The host mocks the idea of boiling vinegar to “dissipate” frozen exhaust at 33,000 feet.* The “Anti” Trap: Taking an “anti-science” or “anti-vax” position is viewed as falling into a “triangulated” script that keeps you trapped on the world stage.* Mental Immune System: Debunking these hoaxes is described as a way to “cure” the holes in a listener's mental immune system.Quote: “Your fear of condensation trails could actually be causing these adverse effects... which is psychosomatic”.Topic 6: The Meta Script and the Bifurcated RealityThe show concludes by explaining the “Meta Script”—a secondary timeline of pre-scripted events inserted into the consensus worldview to maintain a “perpetual war” of engagement.* Triangulation: Every psyop is bifurcated (e.g., Bill Gates as hero vs. villain) to ensure there is no reconciliation between factions.* Subplots in Alt-Media: Conspiracy theories in the alternative media are viewed as “subplots” that keep “truthers” tethered to the fake timeline.* The Endarkenment: A state where the “mainstream” has passed the point of no return into a fictional universe.* Off-World Stage: The goal of the program is to help listeners distinguish between the “real world” and the “impositions” of the meta script.* Kayfabe Monotheism: Media centralization is described as the new monotheism, where everyone follows the same script regardless of their “side”.Quote: “Every single issue... and every conspiracy theory in alt media is a subplot on the meta script, on the fake timeline”. 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Today on Ascend: The Great Books Podcast, Dcn. Harrison Garlick and Dr. Frank Grabowski discuss the famous "Telemachy" or the coming of age story of Telemachus, Books 2-4 of the Odyssey.Check us our on X, Instagram, Facebook, and more!Check out our WRITTEN GUIDE to the Odyssey.In this rich second episode of our 12-week Odyssey series, Dcn. Harrison Garlick and Dr. Frank Grabowski dive deep into Books 2–4 — the Telemachy — exploring Telemachus's powerful coming-of-age journey from a fatherless, disordered Ithaca to the ordered poleis of Pylos and Sparta.They unpack how Homer paints a vivid picture of political decay: twenty years without an assembly, a missing generation of men, and suitors devouring the household while logos itself loses its force. Yet as Telemachus steps into his father's seat and sets sail under Athena's guidance (disguised as Mentor), we witness not only his maturation but a masterclass in what makes a healthy polis. The conversation shines especially when they examine the suitors' impiety, the beautiful practice of guest-friendship (xenia), and the threefold piety it reveals — toward the gods, the city, and the family.From Nestor's sacrifices and storytelling to Menelaus and Helen's double wedding feast, the episode is packed with insight, humor, and timely wisdom. Whether you're reading the Great Books for the first time or returning to Homer with fresh eyes, this conversation will deepen your appreciation for the political, moral, and spiritual layers of the Odyssey.Chapters00:00 Introduction to the Odyssey Study06:18 Telemachus' Journey and Athena's Role08:01 Political Instability in Ithaca09:38 The Assembly and Telemachus' Leadership15:48 Penelope's Dilemma and Guest Friendship17:47 Xenia: The Importance of Hospitality24:16 The Omen and the Suitors' Fate30:37 Justice and the Role of the Gods32:11 Mentorship and Guidance in Telemachus' Growth39:45 Telemachus' Transformation and Epithet Significance44:15 The Evolution of Characters in Homer45:01 Telemachus' Journey to Maturity47:42 The Role of Divine Guidance48:38 Sacrifices and Natural Religion52:56 Pylos: A Model of a Healthy Society54:44 The Power of Prayer and Rhetoric59:15 The Tragedy of War and Its Heroes01:03:58 The Consequences of Choices in War01:10:57 The Role of the Bard in Society01:14:46 Foreshadowing and Sacrifice in the Odyssey01:19:34 The Double Wedding Feast and Hospitality01:22:08 Piety, Gratitude, and Debt01:25:46 Reflections on War and Loss01:28:12 Helen's Duality and the Nature of Free Will01:29:10 Temptation and the Role of Wisdom01:39:07 Menelaus' Journey and Wrestling with Fate01:45:00 The Return to Ithaca and the Threat to TelemachusHere are more videos from our 2024 study!Book 2 of the Odyssey with Dr. Grabowski and Thomas LackeyBook 3 of the Odyssey with Dr. Grabowski and Thomas LackeyBook 4 of the Odyssey with Adam Minihan and Fr. Bonaventure, OP.
When should you distill an entire scene in a couple of sentences? Do you always have to write an entire scene to convey information? Also, how much foreshadowing is too much? The DRS Crew discusses. DRS caffeinates with Larry's Coffee. If you want to purchase fair-trade, organically grown beans that brew into smooth, balanced, never-bitter coffee, visit LarrysCoffee.com/drs, receive a free gift with your purchase, and help support The Dead Robots' Society. Our links: Paul's store: https://payhip.com/paulecooley Paul's site: https://shadowpublications.com Terry's site: https://www.terrymixon.com/ Veronica: http://www.voicesbyveronica.com/ DRS Discord: https://discord.gg/pgmQxaVbGP Enjoy the show? Consider becoming a Patreon or Buy Me A Coffee supporter, and for as little as $1 a month, you can help keep the podcast free and receive exclusive content. More information at https://patreon.com/drspodcast and https://buymeacoffee.com/drspodcast. #writing #fiction #podcast #chat #live #novel #story #narrative #publishing #author #writer #discussion #podcast #talkshow
Isabel and Emma spend today's episode giving an update on all things Summer House - Ciara's Glamour cover feature, Amanda and West at the Yankee game, and more. They then deep dive into this week's SH episode where we watch a very eerie conversation between West and Ciara go down about their feelings toward each other. The last ~6 minutes are a medley of RHORI, RHOA, & The Valley.ShopMy: https://shopmy.us/shop/commentsbycelebsSKIMS.com - after you place your order, be sure to let them know we sent you! Select "podcast" in the survey and be sure to select our show in the dropdown menu that followsShopify - Sign up for your one-dollar-per-month trial today at http://Shopify.com/commentsWatch the new season of Vanderpump Villa on Hulu and Hulu on Disney+ for bundle subscribersLearn more at Starbucks.com/partnersSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Today, we check in a year after the first Unsupervised Learning x Latent Space Crossover special to discuss everything that has changed (there is a lot) in the world of AI. This episode was recorded just after AIE Europe, but before the Cursor-xAI deal.Unsupervised Learning is a podcast that interviews the sharpest minds in AI about what's real today, what will be real in the future and what it means for businesses and the world - helping builders, researchers and founders deconstruct and understand the biggest breakthroughs.Thanks to Jacob and the UL production team for hosting and editing this!Jacob Effron* LinkedIn: https://www.linkedin.com/in/jacobeffron/* X: https://x.com/jacobeffronFull Episode on Their YouTubeWe discuss:* swyx's view from the center of the AI engineering zeitgeist: OpenClaw, harness engineering, context engineering, evals, observability, GPUs, multimodality, and why conference tracks now reveal what matters most in AI* Whether AI infrastructure has finally stabilized: why “skills” may be the minimal viable packaging format for agents, why infra companies have had to reinvent themselves every year, and why application companies have had an easier time surviving model volatility* The vertical vs. horizontal AI startup debate: why application companies can act as the outsourced AI team for enterprises, why some horizontal companies still matter, and why sandboxes may be the clearest reinvention of classic cloud infrastructure for the AI era* The “agent lab” playbook: starting with frontier models, specializing for your domain, then training your own models once you have enough data, workload, and user behavior to justify the cost and latency savings* Why domain-specific model training is real, not just marketing: how companies like Cursor and Cognition can get users to choose their in-house models, and why search, domain specialization, and distillation are becoming more important* Open models, custom chips, and alternative inference infrastructure: why swyx has turned more bullish on open source, why non-NVIDIA hardware is suddenly getting real attention, and why every 10x speedup can unlock new product experiences* What it means to sell to agents instead of humans: why agent experience may mostly just be good developer experience by another name, why APIs and docs matter more than ever, and how pretraining-data incumbents are compounding advantages in an agent-first world* Why memory and personalization may become the next big wedge: today's models mostly reward frequency of mentions, but in the future, swyx expects product choice to be shaped much more by personalized memory systems* The state of the AI coding wars: why coding has become one of the largest and fastest-growing categories in AI, how Anthropic, OpenAI, Cursor, and Cognition have all ridden the wave, and why the category may still have more room to run* Capability exploration vs. efficiency: why the industry is still in a token-maxing, experiment-heavy phase where people are rewarded for spending more rather than less* Claude Code vs. Codex and the strange stickiness of coding products: why first magical product experiences may matter more than expected, and why the bigger mystery may be why only a few names have emerged as real winners so far* What the end state of the coding market might look like: two major players, a longer tail of niche products, and possible disruption if Microsoft, Mistral, xAI, or the Chinese labs push harder into coding* Where application companies still have room against the labs: why frontier labs are trying to expand into verticals like finance and healthcare, but still leave space for focused companies that own the workflow and the last mile* Why coding may be a preview of every other AI market: the first category to truly go parabolic, the clearest example of foundation model companies colliding with application companies, and a template for how future vertical AI markets may develop* Why AI valuations now feel unbounded: from billion-dollar ARR products built in a year to trillion-dollar market caps, swyx and Jacob unpack how the AI market has broken traditional startup intuitions about scale and durability* Consumer AI vs. coding AI: why ChatGPT's consumer category may have plateaued on frequency and product design, while coding continues to feel like a daily-use category with real momentum* The next product frontier beyond coding: consumer agents, computer use, and “coding agents breaking containment,” with swyx's thesis that 2025 was the year of coding agents and 2026 may be the year they begin to do everything else* Whether foundation models are really killing startup categories: why swyx is less worried for early founders, more worried for mid-size startups and traditional SaaS, and why building something ambitious may now be the best job interview for a frontier lab* AI vs. SaaS and the internal culture war around adoption: the tension between AI-native employees who want to rip out expensive software and skeptics who think quick AI-built replacements create fragile systems* Why traditional SaaS may be under real pressure: swyx's own experience spending six figures on event and sponsor management software, the temptation to rebuild it cheaply with AI, and the broader question of whether teams will trust custom AI-native replacements* Biosafety, security, and frontier model access: why swyx raised biosafety at a dinner with Anthropic's Mike Krieger, why Krieger argued security is the bigger issue, and what restricted model releases reveal about Anthropic vs. OpenAI* The era of giant models: why 10T+ parameter systems may only be a temporary rationing phase before bigger clusters arrive, why labs may increasingly keep their most powerful models private for distillation, and why scale alone no longer feels like a complete answer* Memory as the slowest scaling factor in AI: why context windows have improved far more slowly than people hoped, why million-token context still has not changed most real workflows, and why memory may be the key bottleneck for the next generation of systems* What swyx changed his mind on in the past year: becoming more bullish on open models, more convinced that the top tier of agent startups behaves very differently from the median AI company, and more optimistic about fine-tuning and specialized model adaptation* “Dark factories” and zero-human-review coding: the next frontier after zero human-written code, where models not only write the code but ship it without human review, forcing companies to rethink testing and verification from first principles* Why RL and post-training may matter more than people assumed: even if the resulting models get thrown out every few months, the data, workflows, and domain-specific improvements persist* Synthetic rubrics, Doctor GRPO, and multi-turn RL: why reinforcement learning is becoming much more domain-specific and multi-step than many people realize, opening the door to much deeper customization* The next frontier after coding: memory, personalization, and world models, including why swyx thinks world models matter not just for robotics or gaming, but for giving AI something closer to lived understanding* Fei-Fei Li, spatial intelligence, and the Good Will Hunting analogy: the idea that today's LLMs may know everything by reading it all, but still lack the lived experience that turns knowledge into a deeper kind of intelligenceTimestamps* 00:00:00 Intro preview: AI coding wars, startup pressure, and market structure* 00:00:28 Welcome to the Latent Space × Unsupervised Learning crossover* 00:01:17 What AI builders are focused on now: OpenClaw, harnesses, and infra* 00:04:33 Why AI infra is harder than apps, and where startups can still win* 00:06:39 Should companies train their own models?* 00:09:28 Open models, custom chips, and the new inference race* 00:11:25 Designing products for agents, not just humans* 00:16:49 The state of the AI coding wars in 2026* 00:19:27 Capability exploration, token-maxing, and why coding is going parabolic* 00:21:41 What the end state of the coding market could look like* 00:23:50 Where app companies still have room against the labs* 00:27:02 Why AI valuations and market swings feel unprecedented* 00:28:56 Consumer AI vs. coding AI, and why sticky products still matter* 00:32:28 What the next breakthrough product experience might be* 00:32:53 2026 thesis: coding agents break containment and eat the world* 00:35:27 Are foundation models wiping out startup categories?* 00:37:33 AI vs. SaaS, vibe coding, and internal team tensions* 00:40:01 Biosafety, security, and the politics of restricted model releases* 00:42:19 Giant models, compute constraints, and the limits of scale* 00:44:30 Memory as the real bottleneck in AI* 00:44:57 Why swyx changed his mind on open models* 00:47:44 Dark factories and the future of zero-human-review coding* 00:49:36 Why post-training and RL may matter more than people think* 00:51:50 Memory, world models, and the next frontier of intelligence* 00:53:54 The Good Will Hunting analogy for LLMs* 00:54:21 OutroTranscript[00:00:00] swyx: Isn't that crazy? That number is just mind boggling.[00:00:03] Jacob Effron: What is the state of the AI coding wars today?[00:00:05] swyx: We're in a phase of sort of like capability exploration. The general thesis that I have been pursuing now is that the same way that 2025 was a year coding agents 2026 is coding agents breaking containments to do everything else.[00:00:16] Jacob Effron: Do you worry about the foundation models just getting into a bunch of these startup categories?[00:00:21] swyx: Mid-size startups. Yes.[00:00:23] Jacob Effron: What do you think the end state of this market is[00:00:25] swyx: for the market structure to, to significantly change? There would be[00:00:28] Jacob Effron: today on unsupervised learning. We had a, a fun episode and what's really become an annual tradition, a crossover episode with our friends at Latent space.Swix and I sat down and we talked about everything happening in the AI ecosystem today. What we thought of the various changes at the model layer, what's happening in the infra world, the coding wars, and a bunch of other things. It's a ton of fun to do this with someone I really respect and another great podcaster in the game.Without further ado, here's our episode. Well switch. This is, uh, super fun to be back with another unsupervised learning, uh, latent space crossover episode.[00:01:02] swyx: Yeah,[00:01:02] Jacob Effron: I feel like a lot of places we could start, but you know, one thing I always find fascinating, uh, about the way you spend your time is you obviously are like at the epicenter of this engineering movement and community, and you run these events and conferences and put on these.Awesome talks and, and I think just have a great pulse on the zeitgeist of what's going on.[00:01:16] swyx: Yeah.[00:01:17] Jacob Effron: Maybe to, to start just what are the biggest topics people are thinking about right now?[00:01:21] swyx: Yeah, so I just came back from London, uh, where we did a IE Europe and we're doing roughly one per quarter now, which Yeah, you've[00:01:27] Jacob Effron: really up[00:01:27] swyx: the, hopefully[00:01:28] Jacob Effron: up the, up the pace.[00:01:29] swyx: It's trying. We're trying to match AI speed, youknow?[00:01:30] Jacob Effron: Yeah, exactly. The tops would be completely different, I imagine. Uh,[00:01:33] swyx: yeah. You know, I definitely curate the tracks, like you can see what I think. When you see the track list and the, the speakers that I invite, obviously Open Claw is like the story of the last four or five months, and then be, be just below that.I would consider harness engineering, context engineering to be two related topics in agents and rag. And then there's a long tail of Evergreen stuff like evals, observability, GPUs, uh, and uh, LM infra and just general, just in general. We also have other updates on like multimodality and, uh, generative media, let's call it.Um, but I definitely, the, the first three that I mentioned are top of mind people. Yeah.[00:02:13] Jacob Effron: I think harness is particular like, so interesting. Um, you know, there was this tweet from Harrison Chase, the, the lane chain, CEO, that, that caught my eye recently where he said, you know, it finally feels like we have stability, uh, around the infrastructure for, uh, you know, around ai.And I think what. He basically was implying his like, look over the past two, three years as a company at the epicenter of AI infrastructure, it was a bit like playing whack-a-mole, right? You were constantly moving around with, however, the building patterns were evolving[00:02:36] swyx: for Harrison for sure. Right? Like he's basically had to reinvent the company every year since he started Lang Chain.Right? It was Lang chain, Ang graph and LP agents and like, uh, I think he's like one of the most nimble, adept sharp people about this. Yeah. Yeah.[00:02:49] Jacob Effron: Saying now, now is finally the time stability[00:02:51] swyx: this. Yeah.[00:02:52] Jacob Effron: Yeah. Um, do you buy that or what have you kind of make of that take?[00:02:56] swyx: I think that. It, it's very expensive to say this Time is different sometimes, but when you're just writing code, like it's actually okay to just like try to make a call and I think it may not even matter if this call is right or not.Like I just don't even care that much because you can be right on a thesis, but if you don't, you don't figure out how to monetize the thesis, then who cares if you said something first that said, um, it does feel like, for example. Uh, we went through a lot of different ways of passion packaging integrations up with, uh, with agents.And it feels like we've landed at skills, which is like the minimal viable format. Yeah. Which is just a markdown file, uh, with some scripts attached to it, and I don't see how it can be more simple than that. And so there is some justification for. The stability around harnesses. I feel like there may be more adaptation with regards to maybe like the real time elements or subagents or memory or any of those like agent disciplines, let's call it in, in agent engineering.Uh, but if, if the thesis is that, okay, you just want agents are LMS with tools in the loop with a file system, what they can do. Retrieval with, with skills and all these like standard tooling that now seems to be relatively consensus then probably. That makes sense. Um, I just think like there's no point trying to stake your reputation on this thesis that we're there because if it changes again, just change with it.It's fine.[00:04:33] Jacob Effron: Yeah. It's always, you know, I've always been struck by how that is. Much more challenging for infrastructure companies and application companies. Like obviously I think, yeah. You know, on the application side you've seen, you know, Brett Taylor from Sierra Max, from Lara. Like, they're like, look, we build, you know, what's ahead of the models and we're willing to throw everything out every three months, you know, as the models get better and better.Exactly. Yeah. But the thing you at least have there is you have. Uh, you have an end customer, right? That's like decently sticky. Um, you know, they will mostly stick, you know, they'll, they'll give you a shot at least of, of building these things. What I've always found more challenging, uh, at, at the kind of like, you know, reinvent yourself every three months of the infrastructure layer, it's like, you know, developers are definitely a, a pickier audience maybe than an accounting firm or, uh, you know, a bank.Yeah. And so it's definitely a, a, a more challenging position to be in to, to have to constantly reinvent yourself.[00:05:17] swyx: Yeah. Yeah. Yeah. And, and like when they turn, it's like. Very complete. Like, they'll leave to like the, the hot new thing, uh, because there's like no defensibility, I guess. Like e even, even if you are a database, like, uh, people can migrate workloads off databases.Like it's, it's a, it's a known thing. Uh, so I think like basically what we're talking about is the vertical versus horizontal, uh, debate in, in AI startups. And uh, the way I think about it also is just that like when you are. Um, Lara, when you are a bridge, like you are the outsource AI team, right? You, you are, your job is to apply whatever state ofthe art AI methods.[00:05:55] Jacob Effron: Yeah. Like this translation layer between model capabilities and your[00:05:57] swyx: own customers. Yeah. To, to the end customers and like, well, if they didn't have you, they would've to hire in house and they're not gonna hire in house so they have you. And like, I think that's like a reasonable, like very robust to any whatever trends and, and discoveries that people make in, in the engineering layer.I do think like there is, um. It like sort of useful horizontal companies being built, but they're all. Very much like, sort of like the reinventions of classic cloud in the AI era and the, the primary one being sandboxes. Yeah. Um, which like, it's another form of compute guys, like, let's not get too excited about it.But I mean, like the, the workloads are enormous.[00:06:38] Jacob Effron: Right.[00:06:38] swyx: Yeah.[00:06:39] Jacob Effron: It's interesting, and I feel like as, as part of this, you know, the questions that folks are asking around infrastructure, there's a lot around, you know, the extent to which companies should have their own AI teams and what they should be doing in-house.And, you know, uh, I think there's questions around should people be training their own models? Should people be doing, you know, rl, uh, in-house based on the data they have? I feel like, you know, one has to evolve their takes on this every, every three months with paces. But where, where are you at on this today?[00:07:00] swyx: I think, well, I mean actually all models have gone up. Um, and obviously I'm involved in cognition and also cursors doing, doing, uh, a lot of own model training. And I think that that is some part of the, what I've been calling the agent lab playbook, where you start off with the state of the art models from, uh, from the big labs and you, uh, specialize for your domain.But once you have enough workload and enough high quality data from your users, then you can obviously train your own models and like save a lot on cost and latency and all that, all that good stuff. Um, you also get like a marketing bonus of like calling it some fancy name and putting out some research[00:07:38] Jacob Effron: from my seat.I can't tell how much of it is like actual, you know, value that's provided to the end user. And how much of it is that marketing bonus? Right. It seems some combination of the[00:07:45] swyx: I think it's both.[00:07:46] Jacob Effron: Yeah.[00:07:46] swyx: Um, no, no. There, there actually is real value. Um, and you, you know that for a number of reasons. Like one, even when it's not subsidized, people do choose it as like one of the top four or five.This is both composer two and, uh, suite 1.6 I one of the top five models. Like in a, in a fair market? In a free market, yeah. In a, in a, in a model switch. Or people do choose it and like, it's not subsidized. Like, so that's as good as it gets. Uh, but beyond that, like domain specific models, for example. For search with, with both, which both companies have absolutely makes, makes a ton of sense.Everyone says like, yeah, we should always, always do this. And honestly like, I think the infrastructure for that is becoming easier with, um, like thinking machines tinker thing as well as primary like, uh, lab stuff. Yeah, I mean like, this is one of those like reversal of the, the bitter lesson where you first bootstrap on the large models and the general purpose models to get big.And as you get very well-defined workloads that are just high quantity but not high variance, um, then you just distill down to a smaller model and run that on your own. Right. Which like totally makes sense.[00:08:50] Jacob Effron: What I'm less clear on is the kind of DIY RL use case, which I think is really mostly around, you know, improved, uh, quality for, for different things.Obviously there's probably like more efficient ways to, you know, get a smaller model that's that's faster and cheaper. And it'll be interesting to see whether. You know, obviously you had, you know, uh, two, three years ago this whole case of companies that were, you know, pre-training and claiming better outcomes in, in their domains than getting kind of cooked as each model iteration improved.You know, I wonder whether that's a, a similar story plays out in the, uh, in, in the, our all space. Yeah, for the focus on, on on pure outcomes and quality, not the cost side, which clearly your own models for cost at scale makes a ton of sense.[00:09:28] swyx: I think there are this, there are two sides of the same coin.Like you basically always want to hold, uh, quality constant or trade off a little bit of quality for a drastic decreasing cost. And that's true for everyone. Uh, one element I wanted to bring out, which is very much in favor of open models, is custom chips. So this would be cereus, but also talu. And then there's a huge range of stuff in between.This has been a huge story this past year on just like everything non Nvidia is getting bid up, including like freaking MatX is working for, which is very, which is very rewarding for me, but I think one of those things where like, oh, like the suddenly, because the number of alternative. Hard, uh, hardware is increasing and the inference that you can get is insanely high.Like, um, we're talking thousands of tokens per second instead of less than a hundred. So the trade off for qua quality doesn't hold as much anymore because the speed is so high.[00:10:24] Jacob Effron: Have you seen a lot of companies go all in on the alternative chip?[00:10:26] swyx: So cognition has Yeah. On Cerebras, uh, and, and so has OpenAIUm, uh, and so no, I don't think so beyond that, uh, and that, do you think that's like a, that's mostly, that's foreshadowing of, that's, yeah. I used to be kind of a skeptic in terms of like, okay, so what if I get my inference at a hundred to a hundred tokens per second sped up to 200 tokens per second. It's only two X faster.It's not that big a deal. Um, but when you, uh, I think every 10 x does unlock a different usage pattern. Um, and you, we have proof in Talas and, and some of the others. That you can actually, um, drastically imp improve inference speed and what happens from there? I don't even really know, like it's, it's so hard to predict when entire applications just appear at once.Yeah. Uh, and it also isn't that expensive, right? So like, um, this is one of those things where like, I, I think the, the investment cycle is gonna be multi-year. Um, and I. Would caution people to not dismiss it too, too quickly.[00:11:25] Jacob Effron: Yeah. I mean, one other like infra question I was curious to get your thoughts on is obviously it seems increasingly a lot of the cutting edge infra companies are building for agents as the buyers of their product or users of their product, right?[00:11:35] swyx: Ooh,[00:11:36] Jacob Effron: and[00:11:37] swyx: another huge theme. Yeah. Yeah.[00:11:38] Jacob Effron: And I'm trying to figure out like what. What, what do you have to do differently about selling into agents? Um, are they just the ultimate rational developers? Uh, or is there, you know,[00:11:46] swyx: no, absolutely not. Um, I think they are easily prompt, injected and, uh, very tuned towards like, basically com compounding existing winners.[00:11:57] Jacob Effron: Yeah,[00:11:57] swyx: so like if, like, congrats if you won the lottery for getting into the training data right before 2023, because now you're like installed in there for the foreseeable future. But yeah. Uh, you know, one stat that Versal, uh, CTO Malta dropped at my conference was that there are now, uh, 60% of traffic to Elle's, um, like app arch, like admin app architecture for like configuring versal applications, uh, is bought.It's not, it's not human. Uh, so like your primary customer is agents now. Um, and it's mostly co like mostly coding agents, mostly people using CLI on CP or whatever. But yeah, I mean, I think. More. I, I think step one, if it doesn't exist as an API that agents can use, it doesn't exist. Right, right. Which I think is like, uh, it's a good hygiene thing anyway, to, to make everything API available, but not as like an extra, um.Push on like products, people to not only work on the ui, um, you should probably work on the on SCLI stuff. Beyond that, I think honestly there is like, so I, I come from the sensibility of, I think everything that you are trying to do for agents experience now, which is the term that Matt Bowman and Nullify is trying to coin, is the same thing that you should have been doing for developer experience.That you should have had good docs, you should have had a consistent API, uh, that is. Mostly stateless. Um, you should have, I guess, discoverable or progressive disclosure or like search or like whatever. And so now that people have energy in like finding these customers to do that, that's great. Um, do I believe in.Extending beyond that into something like a EO, um, for gaming The chatbots? Not necessarily, but obviously there's gonna be huge advantages when people who figure out the short term wins. Yeah. And short term wins can compound.[00:13:43] Jacob Effron: Do you think these compounding advantages to like the, the pre-training data cutoff companies, like, you know, obviously over some period of time, I imagine that doesn't persist.And so as you think about like. I dunno, three, four years from now what the, you know, selection criteria end up being. Do you think it still mirrors exactly what you were saying before? Like it's exactly what you should have been doing all along to sell a good product to developers?[00:14:01] swyx: It could be, except that I think in three, four years we'll probably have much better memory and personalization.So then general a EO or GEO doesn't really matter as much. So I think whatever memory or personalization system we end up with will probably d determine what you end up choosing much more. Than, than what is currently the case, which is just frequency of mentions, let's call it. Yeah,[00:14:26] Jacob Effron: yeah.[00:14:26] swyx: Uh, so you just spa quantity and I think that's, I mean, that's something I'm looking forward to.I do think, like, like, you know, I, I think that the fundamental exercise to work through for yourself is if you start a new, um, sort of. Uh, disruptor company. Now there's a, there's a big incumbent that everyone knows, like, like superb base. Super base is like, kind of like the Postgres, like database, uh, incumbent.If you wanna start like new superb base, how would you compete with them? And I don't necessarily have the answer, but I, I, I do think like people, like resend like relatively new. I think they would start like 20, 23 and still there was, there was a recent survey where like, people. Checked what Claude recommends by default.If you just don't prompt it with anything, just say, gimme an email provider and says, resent as in like 70, 70% of each cases. Like the fact that you can get in there with like such a relatively short existence, I think is, is encouraging.[00:15:14] Jacob Effron: Yeah.[00:15:14] swyx: I do think like. Um, you do want to do whatever it is to, to like to, to get in that Very short mentions this because, um, it's not gonna be 20 of them, it's gonna be like three.[00:15:26] Jacob Effron: No, definitely. It feels like, uh, you know, probably more, more consolidation than ever. Uh, or, or kind of like, you know, uh, a winner take most market than maybe the, the, the physics of go-to market in the past. Yeah. Might have, uh, enabled.[00:15:38] swyx: The other thing also is like, semantic association is gonna be very important, uh, in the sense that like, you want to do like the combo articles where you're like, use my thing with for sale, with blah, blah.And like that all gets picked up in a, in a corpus. And so that's. Probably one thing that you, you wanna do? Well, I don't know what else. Uh, it's, it's, it's, it's one of those things where like, I think I feel, I feel I'm behind, uh, I don't know how you feel about this, but like,[00:16:04] Jacob Effron: I think AI is just everyone constantly feeling like they're behind some, uh,[00:16:08] swyx: yeah.With,[00:16:09] Jacob Effron: I wanna meet the person that doesn't feel behind,[00:16:11] swyx: but like with, with ax, right? Like, so, so like, my, my stance was that exactly what I said before, like everything that you, that you should do for agents is something that you should have done for humans anyway. Yeah. And so. To the extent that you're just getting it more energy to, to do things for agents, great.But like, uh, it's hard to articulate what new thing apart from just like more spam, um, that you should be doing. Anyway, that would be my take right now. Um, I I, I do think like there, there will be more turns at this. I think the personalization turn that is coming, um, will be big. And I don't know what that looks like because like basically we're kind of, we feel kind of tapped out on the memory side of things.[00:16:49] Jacob Effron: Yeah. I, I guess since we last chatted, you know, you, you took this role over at cognition, um, and you've obviously have a, have a front row seat to the AI coding space today. You know, I feel like coding in many ways. You know, people view it as this, like, I mean, besides being like the, the mother of all markets and this massive opportunity, I think it's kinda a preview of like, what's to come for many other spaces.Both. Yeah. You know, I feel like agents are most advanced in coding. I also feel like the, you know, competition between foundation models and application companies, you know, and, uh, mirrors what we may see in other spaces. And so maybe for our listeners, can you just lay out like what is the state of the AI coding wars today?[00:17:25] swyx: Um, it is massive, right? Like, uh, and I don't think necessarily, last time we talked about this, we appreciated the size of what[00:17:32] Jacob Effron: No, I wish we did.[00:17:33] swyx: I state of AI coding wars today, um, both opening eye philanthropic have made it their p serials to competing coding. Um, and. Tropic is like 2.5 billion in a RR just from Cloud Code.The way they recognize a RR is. Opt for debate, uh, open ai. I don't think the, a public number is known, but let's call it 2 billion as well. And then cursor is like, rumored to be 2 billion, you know? And, and those, those are like the public numbers that are known? Yeah. Um, so like huge markets that have just been created in the past one year.Like, like anthropic, just like Claude Code just recently celebrated their one year anniversary, which is, yeah, pretty nice. Um, so, and then I think, like the other thing that I see is there's, there's some other people who are like, oh, here's like the, the sort of relative penetration of, uh, Claude use cases, right?Like, and it's like coding 50% and then legal, whatever. Health, uh, it's like the, the remaining ones. And there was a very popular tweet that was like, okay, I'll look at the, the empty space and all these other use cases. If you are a new founder today, you should be betting on the other stuff because on, on a sort of catch up Yeah.Theory and my. Consider my, my pushback is the same pushback that, uh, I had on app over Google, which is like, well, well why is this time different? Like, why, if it went from let's say 10 to 50% in the past year, why can't I keep going? Uh, and like getting that wrong is actually a very painful one because you could have just did, did the momentum bet.Instead of the mean reversion bed. So I, I, I think that that is the, the state of things now that people are very, very much into psychosis. Um, they're are getting rewarded for spending more rather than spending less. And I think we're not in that phase of efficiency. We're in a phase of sort of like capability exploration.So I think people who are more crazy, who are more. Uh, creative, um, get rewarded comparatively. Yeah.[00:19:27] Jacob Effron: Well, it's interesting. I mean, it feels like behind these like token maxing, leaderboards and whatnot is this, it's like the first phase of this transition from a workforce perspective is you just gotta show your employer like, Hey, I, I use these tools.[00:19:37] swyx: Here's my nu number of tokens I cost, and that's it. They don't care about the quality. Right. It is, uh, maybe distasteful to someone who cares about the craft and, and all that. Um, but directionally everyone just wants you to go up regardless. And so, um, there it is not very discerning. It's, and it's probably very sloppy, but I think it's net fine because we're still probably underusing ai just in generally.Yeah. Um, and so I think that's like very interesting. Like we had on the podcast, uh, Ryan La Poplar from OBI, who spends a billion tokens a day. Yeah. Um, and that's for those county home, it's like something like 10,000 worth, $10,000 worth a day of API tokens. If they, they did market rates, um, and like most of us can't afford that.Yeah. But like. And, and, and probably a lot of what he does is slop.[00:20:25] Jacob Effron: Right.[00:20:25] swyx: But like, he's going to dis, he's like, if there were a new capability, he would discover it first before you because he was, he was trying and you were not trying. Right. And like, you only do things that work like, well, good for you.But like the, the people who are going to discover the next hot thing are living at the edge.[00:20:42] Jacob Effron: Right and increase in living at the edge of just having the compute budget to like run these experiments. I mean, kind of similar to what living at the edge on the research side has always been. You know, it was constrained in many ways by the amount of compute you had to run these experiments.It feels similarly on the, almost on the builder or like actualizing these tools now.[00:20:56] swyx: Yeah. The other thing that's, I mean, very obvious is philanthropic is kind of like the high price premium player. Um, that where, you know. Restricting limits or restricting model releases even is like the name of the game.Whereas Codex is like, come on in guys, use our SDK, use our login and we don't care. We're gonna reset limits. Whatever you do want to try to exploit the subsidies where you can get it. And definitely Codex is super subsidized right now. Gemini also very subsidized. Um, and. Comparatively, like, I think you should make, Hey, I guess while, while that's going on, it's not that bad to be a capabilities explorer on just the $200 a month plan from Cloud Code or from OpenAI.Um, and, uh, I I, I, my sense is that people aren't even there yet.[00:21:41] Jacob Effron: How do you think this, like, market ultimately plays? I mean, it's obviously such a big market that, you know, any slice of that market is interesting for, for anyone going after it. But I think what, what makes people so interesting in the coding market particularly is it feels like it's kind of this.Foreshadowing of what will happen in other, you know, any other kind of application market that the foundation models eventually turn to and are all their models against and gather data around. And so how do you think, you know, like does there end up being room for lots of different kinds of players or like, what do you think the end state of this market is and is that, do you think that's applicable to other markets?[00:22:10] swyx: I feel like there will be, I mean. Status quo is probably the most likely outcome, which is there are two big players and there's a small range of longer tail people that, um, fit other use cases that the, the two big players don't. That feels right to me. I think that, um, for it to, for the market structure to, to significantly change there would be, there needs to be significant change in like the economics or like the, the brand building or like the, the, the, the value propositions of the, of the companies involved and I.Haven't seen any in the last six months that, that have really changed the stories materially. So I feel like they would just keep going until something, something else happens. Something else happens, meaning like Microsoft wakes up and like goes like. Guys, we have GitHub, we have, uh, you know, we, we, we'll, we'll do something much bigger here than other, other than just copilot.Um, and, uh, that would be a big change. Um, MSL has put out a model now, and I was in a breakfast with, uh, Alex Wang, where they were like, yeah, like, we, we really, really want to go after the coding use case. We haven't done anything yet, but like, don't underestimate them. Right. Um, and, and similarly for the Chinese labs.Um, I think they're trying to go after it. Like ZAI is doing stuff. GLM uh, ZI and GLM is same thing. Um, uh, and, and so it's, so like everyone's trying to get a piece of that pie. I, I feel like the, the status quo has been pretty stable for the past, like almost a year I'll say.[00:23:39] Jacob Effron: Yeah. And is the room for the, not like, you know, for, for the application companies more on like the enterprise side or like where do the, where do the, like what surface area do the model companies leave for application companies?[00:23:50] swyx: Yeah, that's a good one. Um. It's very much evolving. Um, it, I, I, I will say because opening I did not have this, the, this level of attention on coding. Yeah. Uh, a year ago. We just don't have that much history. Right. Um, and it seems like, for example, so the big push at Open I now is the Super app. Um, is that a consumer thing?Is that like a products like. Portfolio rationalization thing, how much is that gonna take away attention from coding at the time when they actually do want to put more coding? I think it's, it's very unclear. So I do think like there's, there's all these, like in both big labs, there's. Uh, sorry. Both of the, and, and drop and, and deep minus and XAI are are separate cases.Um, they are trying to see the other time expansion areas. So cloud code for finance. Yeah. Um, uh, cloud cowork, all those, all those things. Whereas I think cursor and cognition are like comparatively just focused on coding and so I, I do think they leave space and I do think for the other verticals that also means the same thing.Right. That, uh, that they're not gonna be that. Um, intensely focused on, on, on that domain. Except for, I, I think I would mark out finance and healthcare as like the next ones, um, that they're clearly going after. Uh, I, I would say comparatively, healthcare seems more thorny. There, there, there've been some announcements about it, but like, I would respect the, the finance work a lot more just because like the, the path to money is a lot clearer.[00:25:12] Jacob Effron: Yeah, no, I mean, obviously like, I, I think, you know, maybe similar to, to the space that's being left in these other domains, you know, there's obviously. Uh, a lot that's required to actually implement these tools in enterprises, uh, versus, you know, maybe just giving them, uh, giving model access to, to folks outta the box.[00:25:27] swyx: Yeah, yeah. Yeah. So the, the agent lab thing is like, we'll do the last mile for you. Whereas I think the model labs tend to just trust the model and, and be minimalist about it. Both of them work.[00:25:38] Jacob Effron: Yeah.[00:25:38] swyx: I, I don't, I don't necessarily think one, uh, beats the other, uh, for every, for every use case. Um, all I, all I do know is that it does seem like.Uh, the large enterprises do want a dedicated partner that isn't just the model labs, which is kind of interesting.[00:25:55] Jacob Effron: We, we've been in this phase of, of pure capability exploration. And so I think nothing has been, you know, better for the large labs, right? I mean, they're always gonna be, uh, uh, the frontier of, of capability exploration.And so I think have a very good relationship with a lot of these enterprises. But ultimately over time, like. The, uh, the incentive structure of these labs is always gonna be maximal, you know, token consumption for, uh, for the end customers they work with. And there's just, I think, so few companies that have actually gotten to massive scale.Maybe coding again is the most interesting. So it's the first space that really is just completely gone, you know? Yeah. You must love it every day. Like absolutely insane. And. I think it[00:26:32] swyx: gets even. Okay. I mean, like, I think we, we say good things about crystal cognition, but the sheer liftoff of like both end UPIC and open ai.‘cause they, they, they have independent valuations. I mean, let's throw an XEI in there because it's now I ping at 1.2 trillion. That number is just mind boggling. Like I, I feel like in normal investing or normal startups, there's kind of like a ceiling market cap or valuation. Totally. That, that like you, you reach and you go like, all right, let's, it's gonna be chiller from now on.And these guys are not slow down. No.[00:27:02] Jacob Effron: Well, I also think the dynamic is fascinating about some of these later stage companies is, is, you know, in the past, I feel like in, in venture world, if you got to a certain level of scale, the question around you was really more a valuation question. And this is like why there was different phase, like, you know, types of venture people did and like the late stage growth people were just incredible at like, you know, a little bit of what's the ultimate market opportunity of this company, but also what's the right way to, to value it.Like we know it's, it's in some bands of an outcome that is like. Sure there's some variance to it, but it's like relatively understood what that bands is and then maybe you get over time surprised to the upside. Whereas any kind of like later, even the labs themselves, any later stage company, the bands of which that company might be worth right now, even in a year or two years are so massive because of how fast the ecosystem changes that it's like.Even for later stage companies, every three months could be an existential level event to the upside to the downside. Yeah. Um, and I think that, like, you are obviously seeing it in the, in the positive with code, which, you know, if you think about a company like philanthropic, you know, that. For a while, it was like unclear if they were going to have access to enough capital, um, to really stay in the, in the race, right?And then coding hit at the exact right time. They had the perfect model for it. They executed brilliantly. Um, and you know, now are, are, you know, uh, you know, one of the most valuable companies in the world.[00:28:13] swyx: Uh, at the same time, I, I don't find, I, I have zero sympathy for opening eye because they're crushing it and they're all rich.You know, this is like a high class champagne problem to have to, uh, to be number two at coding or whatever. Like, who cares? Like, you're, you're doing great.[00:28:27] Jacob Effron: Yeah. It's funny though. I can't even, I mean, you would be closer to this, uh, you know, even that you're in the AI coding space, but it's like a lot of people I talk to think Codex is just as good, if not better than Claude Code.Right. I think one thing that I've been really surprised by, and maybe, maybe Cloud Code is a better product in some ways, I'm curious your thoughts is just in consumer AI with chat GBT. You saw this big first mover advantage, right? Where admittedly today, like, I don't know, Claude Gemini. Great products.Not sure, not abundantly clear chat GBTs any better, but like. People stick with chat, GBT, it's the first thing to introduce them.[00:28:56] swyx: They stay, but they're not growing anymore. I don't know if you've seen[00:28:59] Jacob Effron: Right. But that to me is more of like a, a, a product problem than it is. They're not like, it's not like they've like lost share to someone else.My understanding is the overall problem with consumer AI today is much more of a how do you take this tool and, you know, for, for folks like us, like knowledge workers, it's like this incredible magic tool, but it's not necessarily a daily active use tool for a lot of people around the world today. And what are the like products?It's, it's kind of a category wide problem. Like in coding, for example, like. The entire space has gone parabolic. There may be some relative growth in, uh, in other consumer AI players, but it's not like consumer AI as a category is like going parabolic and they're not capturing most of that thing. I think it's actually the larger problem is much more, hey, the category has kind of hit a bit of a plateau of people haven't figured out how to bring, you know, tons more users on board.Yeah, yeah. Or increase the frequency of those users. And so it seems more of a category wide problem than it is, you know, a massive market share of change. I was gonna draw the comparison to, to the coding space where Claude Co is the first product, obviously, to introduce people to this magical experience.You know, by all accounts, codex is, is pretty damn close to as good, if not better. Um, but like still that first product, you, you would've thought that would not be a super sticky, uh, you know, product surface area. And it actually has, it turns out, I, it feels like the first lab to introduce you and experience really does, uh, keep a lot of, uh, a lot of the focus.[00:30:12] swyx: I, I think. M maybe it's like still, still early days. You know, Chad, BT is like three plus years old and Yeah. Cloud code is only one. Just turned a year. Yeah. So give it time, you know? Yeah. Like, yeah. I mean, definitely sometimes a lot of people have switched from to Codex. Maybe that will keep going. I, it's like really hard to tell.Uh, yeah. I, I, I do, I do think that. Because we are in this like, high volatility, high temperature phase. Um, the loyalty and stickiness to first movers and category creators, I don't think is as high as it might be in some other, uh, areas in our careers that we've looked at.[00:30:47] Jacob Effron: Yeah. Though, I mean, I've been surprised by the cloud code thing.I, I would've thought that, like, in many ways I always worried about the[00:30:52] swyx: enterprise. You think you would've been gone by now?[00:30:53] Jacob Effron: Not gone. But I would've, I I always worried that the, that the consumer business of these companies would be quite sticky. And then the enterprise API business. Uh, was actually like, you know, in some ways like your least loyal buyers, like they would, they would move to,[00:31:05] swyx: right, right.But, but they worked out that it wasn't the enterprise API it was enterprise product.[00:31:09] Jacob Effron: Totally. And maybe that was the, that was the secret that like, but the amount of lock-in or just default behavior that has happened in that space, uh, is, is more than I might've imagined with two products that by all accounts are pretty damn similar.Yeah.[00:31:22] swyx: No fight there. Uh, I will say I do think that Codex is still in like a catch up. Like in terms of personal experience. Um, the only thing I like out of, out of Codex is the, is like Spark and like yeah. Uh, the, I, I feel like the skills integration is a little bit better. I feel like, uh, the, the speed is a bit better.Maybe ‘cause it's in, is written in rust or whatever. Um, very minor things that you like. Almost like telling yourself rather than like objectively assessing between two, two of them. I, I, I do think, like vibes wise, I think that's going on. Um, the, the, you know, I, I feel like the, the missing questions, uh, in, in this whole debate is like, why is this so concentrated in only two names, right?Yeah. Like, um, how, where, like, where is the Gemini? You know, presence, where's the Xai presence? Um, and like they are trying, it's just they haven't made that much progress yet.[00:32:12] Jacob Effron: But what the, what the Claude Co moment does show, and it actually in some ways makes you a little more bullish on the potential for someone else to catch up because it does feel like if you're the first person to introduce some magical net new product experience, that that actually might be stickier than one might have imagined.[00:32:27] swyx: Right, right, right. Okay. Yeah.[00:32:28] Jacob Effron: And so it's, everyone can believe they have shot[00:32:29] swyx: that. What do you think that new product experience might be like? I, I, it's, it's like, and this is a failure of imagination on my part. Like, I always wonder, like, people always say this like, well, the, the thing that will save us is like being first to the next new thing.Like what is it?[00:32:41] Jacob Effron: Yeah.[00:32:42] swyx: It's like,[00:32:45] Jacob Effron: I dunno, something around like, uh, consumer agent, computer use, like hybrid. I think, obviously, I think we're like scratching the surface on the consumer side.[00:32:53] swyx: So my, my current theory is like the. Open claw is like a vision of things to come.[00:32:58] Jacob Effron: Totally.[00:32:58] swyx: Um, and uh, it's good that O open I has like the association with open claw, but by no means do they have the rights to win it.The general thesis that I have been pursuing now is that the year the same way that 2025 was the year of coding agents, 2026 is coding agents breaking containment to do everything else. Um, and so coding agents continue to still win, but because they generate software and software eats the world, so like, it's kind of like the trans.Associated property of like software, eat the world, coding agents, eat software, therefore coding agents eat the world. Um, which is like an interesting,[00:33:30] Jacob Effron: yeah, and breaking containment always an easier phase phrase in the consumer context than the enterprise one. You've seen people run these really cool, uh, experiments in their own personal lives.I think like,[00:33:37] swyx: yes.[00:33:38] Jacob Effron: Figuring out, you know, how you, obviously everyone's focused, you know, on the enterprise side now around how you create these experiences. I feel like the vibes, you know, people love to have these narratives of like, everything is completely shifted. It's like I actually, you know, open AI.Organizationally, uh, you know, volatility aside is, you know, great products, great team, great models like everyone else in the world is incentivized for there to be. Two, three more. Everyone would love more like great model companies. And so I feel like the, the natural forces of the world revolt when any one company, you know, is too much the star of the show, right?There's so many people in the ecosystem that are incentivized for that not to happen. And so I think I'd be shocked if we don't have. Uh, uh, reversion of vibes, not maybe completely the other way, but at least a little bit more equal at some point over the next six, 12 months.[00:34:24] swyx: I, I think there's just a kind of different stages when, when you talk about the world, one wanting more model companies, I talked think about like the neo labs.[00:34:30] Jacob Effron: Yeah.[00:34:31] swyx: And I mean, I don't know, is it fair to say none of them have really broken through in the past year?[00:34:35] Jacob Effron: I think that's totally fair,[00:34:37] swyx: which is rough. Um, and well, how are we gonna, how are we gonna grow that diversity in, in, in choice, like. Um, that's, this is it.[00:34:46] Jacob Effron: Yeah. It'll be really interesting to see what, what, what ends up happening with that.And you've seen, you know, folks like Nvidia, you know, very incentivized to make sure there's, there's a broader platform of, of other model providers.[00:34:57] swyx: I think, uh, I don't know people say this, but I, I, I don't think they try it hard. Nvidia tries harder to build neo clouds[00:35:05] Jacob Effron: Yeah.[00:35:06] swyx: Than neo labs.[00:35:07] Jacob Effron: Well, they try pretty damn hard to build neo Cloud, so[00:35:09] swyx: that's,[00:35:09] Jacob Effron: yeah.[00:35:10] swyx: But like, you know, let's call it like the, the core weaves of the world, much happier place in the, you know, than any neo lab built on top of them.[00:35:18] Jacob Effron: Yeah. That one might argue it's, it's easier to, to enable a neo cloud to be successful than it is. Uh, you can't will a neo lab into existence the same way you, soNvidia[00:35:25] swyx: has more direct control over it.Uh, for sure.[00:35:27] Jacob Effron: What else is kind of catching your eye today on the startup side? I mean, you worry, there's obviously this whole narrative of like, you know, the foundation models, you know, they announced a product and every stock goes down 15%. Like[00:35:36] swyx: Yeah.[00:35:37] Jacob Effron: Do you, do you worry about the foundation models just kind of eating into to a bunch of these startup categories?[00:35:43] swyx: Not really. I, I think actually like. As, uh, there's, there's, okay, there's, there's, there's the, there's the point of view of like being an investor in startups, and there's a point of view of like, do you wanna start something? And I think honestly, like the, the downside for all these is so. Minimal in, in a sense of like, the worst you do is you just get hired into one of these labs anyway.So I, I think the, the market for people who just do things and try things and try to execute in like a competent way, even if like it doesn't work out commercially, even if it just wasn't that great anyway. Like, but like that's your job interview to go into, into one of these things anyway, so, um, I don't feel that.From a, from a very, very small startup perspective, mid-size startups. Yes. Uh, I will say there's been a lot of dead, um, LM Infra, a lot of LM infra consolidation like the, the, uh, lang fuses of the world getting absorbed into, into click house. And I, I think. Like people have maybe worked out the domain specific playbook, uh, and like, I think that's okay.Um, and, and yeah, I'm not that, not that worried about, uh, okay. So, um, I, I would say I'd be more worried about traditional SaaS, like low NPSS. This is the whole AI versus SaaS debate that has, that's been going on. Uh, and, and like literally I'm going through that exact thing in my company where, so I like kind of.Thinking through this on a very visceral, visceral level, right? On one hand you have the people who say you vibe coders don't appreciate the amount of work that goes into A-A-C-R-M and like, yeah, you think you can rip out Salesforce? So did the 30 entrepreneurs before you, right? Like, like, you know, you classically underestimate the things that you don't.Deeply, no. And, and, and target audience is not you. Uh, at the same time, like we have never been able to build software so easily and customize software so easily and like Yeah, you're not gonna use 90% of the things in Salesforce. So like, yeah. What's the typical, so what have you, what[00:37:33] Jacob Effron: have you done internally?[00:37:34] swyx: So we have there the main SaaS that we do for event management and sponsor management. That's, and we paid 200 KA year for that. Not, not huge, but like chunky for, for, for my, my scale. Um, and like, yeah, I could probably spend 2000 and, and build like a custom version of that. Um, the, the, the trick has been dealing with my, the rest of my team and getting them on board.Yeah. ‘cause I'm the most ethical person on my team, but like, I can't make that decision myself. And I think in the same way I've been telling with other CEOs team leaders as well, it's like, well you can be super cloud pilled. You can be super LM psychosis and that you think that's okay, but you like you have to bring your team with you.And I think like there, the sort of widening disparity in LM psychosis in companies is causing real s real riffs because. And on one hand, on one hand, the people who are less AI native are not getting with the picture. They're not, they're actually like behind, they're actually not waking up to the fact that like you, everything you think is necessary is not actually that necessary.And in fact, exactly would be better of you if you just like held your nose and went in and when came out the other side. Yeah, only talking to agents in natural language and like your life would actually be better and you just, you're just like close-minded. There's that perspective. The other perspective is, oh, you vibe coder.You, you did this in a weekend and you got the 80% solution and now the rest of your employees. Have to pick up the rest of your s**t, right, that you, that you thought you were, you were such hot, amazing, uh, uh, at, but like, actually you didn't figure it out. And like, actually LMS are still useless at this and blah, blah, blah.So like, I think there's this huge debate going on in every company right now. Um, and like, um, you know, I have a small microcosm of it, but like, yeah, it, it's making me hesitate to, to pull the trigger. But like I will at some point, it's like maybe I've put it off for one year, but not like five. Yeah, but like, so, so like SaaS is definitely getting squeezed.Um, it does make me wonder, like, I, I do think that there's an opportunity for a more AI native, um, system of record thing that is not just Postgres. Um, or not just MongoDB, although both are very good. Maybe it's like a convex or like people Yeah. Bring up convex a lot. I don't know, like, like, I, I just feel like the sort of quote unquote firebase of, of AI apps isn't really a thing yet.Um, beyond what we have. Uh, which, which is fine. It's, it's, it's just. We could probably start in a more sort of rapid iteration cycle first before scaling up to like a Postgres or MongoDB, which are more sort of old tech. I was at a dinner with, uh, Mike Krieger, the CPO of en philanthropic, and, and he, we were just kind of going around the room going like, what are people most worried about?Yeah. And, uh, for me, uh, I, instead of security, I brought up biosafety. Yeah,[00:40:21] Jacob Effron: classic.[00:40:22] swyx: Um, actually, like I said, it was. Cliche and classic, and the rest of the table were, were like, what do you mean? Someone sitting at home can manufacture a virus that wipes out half of humanity,[00:40:32] Jacob Effron: almost like the OG Jeffrey Hinton.Like, this is why you should be scared.[00:40:35] swyx: I'm like, yeah, like the read the, you know, risk reports. Like this is like the thing. Um, I think, and Mike was just sitting there knowing he was sitting on Mythos and going like, actually it's security. Um, and I think like, um, I think the, there's, there's, part of it is.A very good marketing. Like too good. Yeah, like I would actually advise and topic to tune down the marketing because also it's, it is just a very good model and you don't have to make so many marketing claims around it. At the same time, it is not really a private model. If you give it to 40 companies.Each of whom have like 10,000 employees or whatever. Right. It's not, it's not private, it's, it's like there's bad actors in there.[00:41:18] Jacob Effron: Yeah. Hopefully, hopefully not as, uh, as bad as releasing it widely, but, uh, no, I mean, it's an interesting. You know, it's an interesting case study for how all, I mean, many model releases might, I mean, you know, this might be the first model release that looks like the rest of ‘em from from now on, right?[00:41:31] swyx: It, it, so it's, it's the, there's an overall product strategy, uh, for anthropic of like bundle, uh, you know, restrict access bundle, uh, product with model maybe.Whereas, uh, OpenAI has definitely been a lot more sort of. Philosophically aligned on like, we will just enable access everywhere and we don't know what you, what will come out of it. Right.[00:41:51] Jacob Effron: Right. Though, I mean, this current moment, uh, obviously the cynical take is also just ties to the amount of compute that both companies[00:41:56] swyx: Yeah.Right, right, right. Yeah, I think, I think that's true. I I do think like the, the, this is the, the, the scale, the dawn of like larger than 10 trillion parameter models is very interesting. I don't think it, I think it's a temporary phenomenon because we have much larger compute clusters coming online for everyone over the next like three, five years.It's, and this is like already written in, in the cards.[00:42:18] Jacob Effron: Yeah.[00:42:19] swyx: So to the extent that like, you know, will we have rationing of models, uh, above 10 trillion, uh, in like two years? I don't think so. I think everyone will have no, we'll just[00:42:29] Jacob Effron: have rationing of the next phase.[00:42:30] swyx: Right. Right. But like, that's as it should be almost like, um.My, my classic example, which I, this is just me theorizing, not anything confirmed by Google. When Google announced Gemini, they actually announced three sizes, which was Flash Pro Ultra. They never released Ultra. They only have Pro and Flash. Um, so my theory is they have ultra sitting in a basement and they just could distilling from it for, for flashing pro.Um, which like, yeah, I mean, I, I actually think that's. As it should be for any lab that they, that they do that.[00:43:02] Jacob Effron: Yeah. Just because those are the models that people actually wanna end up using. And it's just like cost prohibit.[00:43:06] swyx: It is more, yeah, it's cost. Yeah. It's, it's not the want, it's just, just, just the cost.Um, I do think, like, uh, it is interesting that, uh, for a while I was, I was considering the theory that models capped out at two, 2 trillion, and I think that's proving to be wrong. And well then if I'm wrong, how wrong? How wrong am I? Do we do 200 trillion? Do we do two quarter trillion, whatever? Um, and I don't think we have the straight answer to that, but like, uh, it's interesting that we are continuing to scale number of pers when everyone kind of assu like can see that we're not going to get like the next thousand or 1 million x from this paradigm.So like the others, like the alias of the world are working on other. Um, model architecture improvements. We need a different scaling law, I guess, because like, we're, I, I feel like people already already feel like we're tapped out on this. Like the, the end, the end state of this is we turn most of the world into data centers and like, I don't know.I don't know if we want that.[00:44:08] Jacob Effron: Yeah, I mean, uh, if the, if, if, if the return of intelligence are there, maybe, uh, maybe not so bad.[00:44:13] swyx: I, I, I think there, there's just a sheer amount of like, like un scalability that like is wrangling people's sensibilities right now. Um, especially in terms of like context lengths.Um, my classic quote is that context length is like the slowest scaling factor in, in lms.[00:44:30] Jacob Effron: Yeah.[00:44:30] swyx: Um, we, like, we took maybe. Three years to go from like 4,000 context length to a million and that's about it. Yeah. Like Gemini has had a million token context length for two years now. Um, and no one's using it.Like, so like yeah, it's memory. Memory is probably gonna be the, the biggest limiting constraint on all these things.[00:44:50] Jacob Effron: Yeah. Certainly seems that way. I guess I'm curious over the last year since you recorded last, like what's one thing you've changed your mind on?[00:44:57] swyx: I feel like I was kind of bearish on open models like last year.Um, in a sense of, like, I, I had just done the podcast with an Al[00:45:07] Jacob Effron: Yeah.[00:45:08] swyx: Of Braintrust where he, and he, I mean, you know, he has a good cross section of all the top AI companies and he says market share of open source is 5% and going down. Um, I think that's changed. I think it's going up. Um, and even if,[00:45:22] Jacob Effron: even though the capability gap does seem to be increasing.Spending on the[00:45:26] swyx: time. It's hard to tell. Yeah, it's, it's really hard to tell. ‘cause like, okay, for, for listeners, capability gap increasing is like on public benchmarks. And let's say you're comparing mythos versus like, I don't know, G-T-O-S-S or like GLM 5.1. And, um, it's, it is really hard to tell. ‘cause even if they were closing, you will also not believe that they were closing that much because it's very easy to gain the benchmarks.Yeah. So you just don't really, really know. Um, all you know is like. Uh, there's somewhat objective open router stats on like what people choose in a free market. And people do choose some of these open models in significant volume, except that a lot of them are heavily discounted. So you need to kind of like price adjust, uh, these things.So even if, even if that were true, which I, I'm not sure, like I, I, I feel like the numbers just up now instead of down. Uh, I think the. Separation between what the top tier agent labs
The Enough Said Crew is back. On this episode, we recap the NFL Divisional Round games including Mike No-Show Niners. Could not have played a worse game from beginning to end and vice versa Seattle could not have played a better game from beginning to end.(Foreshadowing, they actually do play a better game in the future). We also discuss Eagles and their OC search and other coaching move. To finish the show, we do a game of Good job or Good Luck with That. Getting very close to the big game!!!
The Enough Said Crew is back. On this episode, we get into a debate about NFL QB and who is elite and who is not. Sam Darnold enters the conversation. We also talk more about the Eagles and their pick for offensive coordinator. Interesting pick and a lot of questions about the future of the team and the offense. Andre is having concerns about the team. The big game is finally here. Enjoy and hope for a good game. (Foreshadowing, it stunk)...
Rev. Kenneth Bomberger gives today's prayerful thought based on the day's Scripture readings. Begin your morning in word and prayer with Rev. Kenneth Bomberger, who shares scripture, hymns, prayers, and texts for the day, and also gives a short meditation on the day's scripture lessons. Submit comments or questions to: listener@kfuo.org
The resurrected Jesus explained how the Scripture told that the Messiah would suffer, die, and be resurrected. Seven coordinating blogs begin here: https://lightofchristjourney.com/2026/04/05/can-we-believe-the-resurrection/ A video of the story can be viewed here: https://youtu.be/zIq2GVugfjM
The boys discuss Steve's scooter accident, Mike meeting a Kid in the Hall, which leads to a smol reminisce, accountability and empathy are discussed, Steve brings a poop toy and KId Rock threatens us!Advertise on Dynamic Banter via gumball.fmJOIN the Patreon: patreon.com/dynamicbanterGET the MERCH: dynamicbanter.clothingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
We hope you enjoy today's Scripture reading and devotional aimed at equipping you for moral and spiritual transformation. Today's Bible reading is 2 Kings 2. To read along with the podcast, grab a print copy of the devotional. Browse other resources from Ryan Kelly. ESV Bible narration read by Graeme Goldsworthy. Follow us on social media to stay up to date: Instagram Facebook Twitter
Brandon attempts to reel Broxylym in but, instead, makes matters worse when he confiscates his cell phone. Greg realizes to power of Broxylyms words. Meanwhile Avery Stephens pushes the interview back for a very non suspicious reason...
DIDO AND THE FOUNDING OF CARTHAGE Colleague Daisy Dunn. Dunn recounts the story of Dido, the clever founder of Carthage who tricked a local king to secure land. When Aeneas abandons her to fulfill his destiny, Didocurses him, foreshadowing the Punic Wars between Rome and Carthage. The segment explores her tragic suicide on a pyre, noting the societal judgment against her for breaking vows of celibacy, while acknowledging her capacity as a talented ruler and builder of cities. NUMBER 12 1450 DIDO WELCOMES AENEAS TO CARTHAGE
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