1818 novel by Mary Shelley
POPULARITY
Categories
150 episodes with Frankenstein
193 episodes with Frankenstein
146 episodes with Frankenstein
208 episodes with Frankenstein
91 episodes with Frankenstein
72 episodes with Frankenstein
59 episodes with Frankenstein
36 episodes with Frankenstein
36 episodes with Frankenstein
57 episodes with Frankenstein
29 episodes with Frankenstein
94 episodes with Frankenstein
48 episodes with Frankenstein
27 episodes with Frankenstein
74 episodes with Frankenstein
35 episodes with Frankenstein
57 episodes with Frankenstein
44 episodes with Frankenstein
22 episodes with Frankenstein
17 episodes with Frankenstein
71 episodes with Frankenstein
26 episodes with Frankenstein
28 episodes with Frankenstein
23 episodes with Frankenstein
33 episodes with Frankenstein
22 episodes with Frankenstein
28 episodes with Frankenstein
27 episodes with Frankenstein
27 episodes with Frankenstein
31 episodes with Frankenstein
20 episodes with Frankenstein
22 episodes with Frankenstein
18 episodes with Frankenstein
12 episodes with Frankenstein
17 episodes with Frankenstein
19 episodes with Frankenstein
11 episodes with Frankenstein
19 episodes with Frankenstein
19 episodes with Frankenstein
8 episodes with Frankenstein
12 episodes with Frankenstein
36 episodes with Frankenstein
9 episodes with Frankenstein
16 episodes with Frankenstein
15 episodes with Frankenstein
22 episodes with Frankenstein
14 episodes with Frankenstein
11 episodes with Frankenstein
18 episodes with Frankenstein
13 episodes with Frankenstein
10 episodes with Frankenstein
12 episodes with Frankenstein
10 episodes with Frankenstein
9 episodes with Frankenstein
Basically everything you think of when you think of vampires, mummies, werewolves, and Frankenstein all come from a spate of films made in the 1930s, and every one of them by Universal Pictures. Amazingly, they are still among the best films ever made.See omnystudio.com/listener for privacy information.
Happy Halloween! Welcome to October — The Horror Month of Halloween! To kick off our spooky season's festivities, Episode 190 of Jay of the Dead's New Horror Movies presents Volume 3 of Ron Martin's 50 for 50 Horror Special! That's right! The Infamous One, Ron Martin, The Cassandra of Horror Podcasting, continues his ambitious explorations of Horror films he's never seen to help celebrate his 50th year! For Volume 3 here, Ron brings a distinctly summer-flavored assortment of theatrical releases, slashers, vampire movies, campfire Horror, found-footage anthologies, and one very patriotic killer. This time around, Ron reviews Backrooms (2026), Killer Workout (1987), Carnival of Souls (1962), Fever Lake (1997), Uncle Sam (1996), Vampire Lovers (1971), The Burning (1981), In the Mouth of Madness (1994), V/H/S/99 (2022), and Demonic (2015). Along the way, he finds a few historically dreadful movies, a couple of pleasant surprises, and a Hammer Horror gem he strongly recommends. Ron also recommends checking out his Retro Sleepover Podcast and the seventh edition of his "Discover Salem" guidebook. Join us for Horror movies 21 through 30 of Ron Martin's 50 for 50 Horror Special! **Be sure to listen to Ron Martin's previous Horror solocast series here: The Great Halloween Experiment – Parts 1 – 4 And check out Ron's other podcast: Retro Sleepover Be sure to subscribe to Jay of the Dead's new Horror movie podcast on: Apple PodcastsSpotifyDeezer You are welcome to email our show at HauntingYourHeadphones@gmail.com. You can also follow Jay of the Dead's New Horror Movies on X: @HorrorAvengers Jay of the Dead's New Horror Movies is an audio podcast. Our 10 Horror hosts review new Horror movies and deliver specialty Horror segments. Your hosts are Jay of the Dead, Dr. Shock, Gillman Joel, Mister Watson, Dr. Walking Dead, GregaMortis, Mackula, Ron Martin, Dave Zee and Spawn of the Dead! Due to the large number and busy schedule of its 10 Horror hosts, Jay of the Dead's New Horror Movies will be recorded in segments, piecemeal, at various times and recording sessions. Therefore, as you listen to our episodes, you will notice a variety of revolving door hosts and segments, all sewn together and reanimated like the powerful Monster of Dr. Frankenstein!
This is it — the first episode in the annual Reel Spooky Series! Joshua Hunter kicks things off with Guillermo del Toro's Frankenstein, the Oscar-winning director's long-awaited adaptation of Mary Shelley's Gothic classic, starring Oscar Isaac as Victor Frankenstein and Jacob Elordi as his tragic creature. Joshua breaks down whether del Toro's signature dark, ornate style brings something genuinely new to a story that's been adapted hundreds of times, digs into Elordi's transformation into the Creature, and why it maybe the performance of his career, and gives his honest verdict on whether this one earns its place among del Toro's best work — or gets buried under its own gothic aspirations. Grab your candy, dim the lights, grab your Pumpkin Spice Drink(I might judge you in silence) and settle in — the ghouls are out & the annual Reel Spooky Season has officially risen from the dead.
Born Again: Romanticism and Fundamentalism (U Toronto Press, 2025) examines the deep historical roots of fundamentalism in Protestantism and the imaginative traditions of Romantic literature. It explores how the resurgence of fundamentalist thought within “born again” Christianity seeks to repress the trauma of modernity through the belief that the world must be radically transformed to align with a divine standard.By analysing the logic of this repression, the book reveals an alternative vision: a “revivalist rebirth” that offers a new ethical imperative to creatively shape the world in collaboration with others. Thinkers such as Immanuel Kant, Percy Shelley, and Friedrich Schlegel are central to the analysis, as are the literary works Faust and Frankenstein. Jeffrey Champlin illustrates how a revivalist imagination challenges blind faith, presenting figures of life reawakened to conscious moral and political engagement. Engaging with Arendt's politics of natality and Derrida's ethics of survival, Born Again offers pathways to reimagine a world that confronts the profound losses fueling fundamentalist ideologies, making it a timely and thought-provoking exploration for contemporary readers.Jeffrey Champlin is Director of the Learning Commons and Lecturer in the Humanities at Bard College Berlin. His research emphasizes connections between literature and political theory. Morteza Hajizadeh is a Ph.D. graduate in English from the University of Auckland in New Zealand. His research interests are Cultural Studies; Critical Theory; Environmental History; Medieval (Intellectual) History; Gothic Studies; 18th and 19th Century British Literature. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Eric is back this week to talk about one of HIS special interests: Yokai. We're talking about a bizarro kid's film directed by a Japanese master of horror. Join us as Eric schools Anthony on various yokai, we try to understand the yokai rules, and we puzzle out the lore of a the most recent film in a long series we haven't watched. Oh, and Frankenstein is there. Find out more about Eric's new Yokai Tea Party card game, live now on BackerKit! https://www.backerkit.com/c/projects/cobaltmonkeyking-studios-llc/yokai-tea-party. You can also keep up with what he's doing over on Instagram or TikTok! Please rate, review, and tell your fiends. And be sure to subscribe so you don't miss future installments. Join us on Patreon at patreon.com/thefrankencast. Find all of our various links atlinktr.ee/frankencast or send us a letter at thefrankencast@gmail.com. We'd love to hear from you!Your Horror Hosts: Anthony Bowman (he/him) and Eric Velazquez (he/him). Cover painting by Amanda Keller (@KellerIllustrations on Instagram).
‘Goede CGI zie je niet' – slechte CGI helaas wel
How does an independent press survive by publishing the books the Big Five overlook? Amherst College professor and Spanglish scholar Ilan Stavans joins Sarah Russo to talk about Restless Books, the press he founded to champion immigrant writers, literature in translation, and the books that live between languages. Ilan shares the origin of Restless Books (including the investor who told him to take a finance course first), the creation of the Kellman Prize for Immigrant Literature, and why he considers Spanglish one of the great creative forces in American English. Ilan and Sarah dig into the practical side of publishing in translation: finding the right translator, editing hybrid-language manuscripts, and navigating the politics around a single project. Ilan also offers advice for immigrant and early-career writers, and makes the case that small presses are doing some of the most important work in publishing today.For more information on Ilan and Restless Books, please visit the website.Books mentioned in this episode[1] :“People Who Live Alone Talk Too Much,” by Sofi Stambo “A Nation Wrestles with God: American Prophets, Philosophers, and Firebrands,” edited by Ilan Stavans “The People's Tongue,” edited by Ilan Stavans “Cecil the Lion Had to Die,” by Olena Stiazhkina, translated by Dominique Hoffmann “Daniel and Ismail,” by Juan Pablo Iglesias and illustrated by Alex Peris “Fictional Translations,” by Ilan Stavans Also mentioned: Don Quixote, Frankenstein, and The OdysseyKey Moments2:02 - How a Midlife Crisis Turned Into a Publishing House
How does an independent press survive by publishing the books the Big Five overlook? Amherst College professor and Spanglish scholar Ilan Stavans joins Sarah Russo to talk about Restless Books, the press he founded to champion immigrant writers, literature in translation, and the books that live between languages. Ilan shares the origin of Restless Books (including the investor who told him to take a finance course first), the creation of the Kellman Prize for Immigrant Literature, and why he considers Spanglish one of the great creative forces in American English. Ilan and Sarah dig into the practical side of publishing in translation: finding the right translator, editing hybrid-language manuscripts, and navigating the politics around a single project. Ilan also offers advice for immigrant and early-career writers, and makes the case that small presses are doing some of the most important work in publishing today.For more information on Ilan and Restless Books, please visit the website.Books mentioned in this episode[1] :“People Who Live Alone Talk Too Much,” by Sofi Stambo “A Nation Wrestles with God: American Prophets, Philosophers, and Firebrands,” edited by Ilan Stavans “The People's Tongue,” edited by Ilan Stavans “Cecil the Lion Had to Die,” by Olena Stiazhkina, translated by Dominique Hoffmann “Daniel and Ismail,” by Juan Pablo Iglesias and illustrated by Alex Peris “Fictional Translations,” by Ilan Stavans Also mentioned: Don Quixote, Frankenstein, and The OdysseyKey Moments2:02 - How a Midlife Crisis Turned Into a Publishing House
Check out this link to buy DB's Books[link] Upcoming Episodes Grimdark Grandparents: Warhammer 40,000 and Its Pulp DNA 0. What's a W.H.40.K? — An introduction to Warhammer 40,000's immense science-fantasy horror setting, where a corpse-worshipping human empire fights aliens, daemons, ancient machines, and its own terrible history. 1. The Imperium of Man — From Dune, Foundation, Roman decline, and medieval Christendom comes a galactic empire where the future is not progress but a dead civilization kept moving through faith, fear, and paperwork. 2. Space Marines — The Imperium's iconic super-soldiers combine power armor and military science fiction with crusading knights, Spartan myth, warrior monks, kidnapped children, and the seductive imagery of authoritarian heroism. 3. Astra Militarum / Imperial Guard — Drawing from trench literature, British war comics, Kipling, and future-war fiction, the Guard are ordinary people sent into cosmic horror with little more than courage and a lasgun. 4. Adeptus Mechanicus — Frankenstein, Metropolis, invention pulp, and lost-technology stories meet in a machine cult where science survives, understanding does not, and repairs are performed like religious rites. 5. Adepta Sororitas / Ecclesiarchy — Gothic convents, martyr legends, Joan of Arc, witchfinders, and Hammer horror become armored saints who turn faith, suffering, and flamethrowers into instruments of Imperial power. 6. The Inquisition — The occult detective and witch-hunter become one terrifying Imperial investigator who may uncover the truth only to burn every witness, building, and planet touched by it. 7. Rogue Traders — Planetary romance, colonial adventure fiction, space opera, pirates, and merchant princes combine in explorers licensed to discover strange worlds, trade with them, rob them, or claim them for the Imperium. 8. Adeptus Custodes — Ancient palace guards, sacred kingship, Achilles, and Gilgamesh stand behind the Emperor's golden companions: philosopher-warriors created to protect a god who is already dead. 9. Adeptus Titanicus / Titan Legions — Giant robots descend from Martian tripods, dreadnoughts, siege engines, golems, and war gods to become walking cathedrals capable of teaching entire cities to kneel. 10. The Horus Heresy — Warhammer's great betrayal myth draws from Lucifer, Cain and Abel, Arthur and Mordred, Roman civil wars, and fallen-hero stories to explain how the Emperor's favored son broke the human future from within. 11. Chaos Space Marines — Fallen angels, Byronic rebels, cursed champions, and Milton's Satan become immortal super-soldiers whose genuine grievances have curdled into rebellion, bitterness, and damnation. 12. Chaos Daemons — Medieval demonology, grimoires, occult pulp, weird fiction, and nightmare cinema become psychic entities made from mortal rage, despair, ambition, obsession, and desire. 13. World Eaters / Khorne — Sword-and-sorcery pulp, berserker sagas, gladiator spectacle, and revenge tragedy create warriors who reduce every political, emotional, and moral problem to an axe blow. 14. Death Guard / Nurgle — Plague literature, danse macabre, zombie films, body horror, and graveyard humor meet in rotting soldiers who have surrendered to decay and discovered that the joke is that they are happy. 15. Thousand Sons / Tzeentch — Lovecraft, Clark Ashton Smith, mummy fiction, occult scholarship, and forbidden-book stories become sorcerers who sought perfect knowledge only to discover that the book was reading them back. 16. Emperor's Children / Slaanesh — Decadent literature, Gothic aristocrats, glam horror, cursed art, and The Picture of Dorian Gray shape warriors who pursued perfection until beauty became an endlessly hungry mouth. 17. Chaos / Imperial Knights — Haunted castles, ancestral armor, chivalric romance, feudal bloodlines, and giant-robot fiction become seventy-foot war machines carrying generations of family pride, duty, resentment, and curses. 18. Orks — Fantasy orcs, Mad Max, British hooligan comedy, fungus horror, and invasive-species stories combine in a joyful alien ecosystem where killing the enemy may only plant the next war. 19. Tyranids — Alien, The Thing, bug-war fiction, parasite horror, and cosmic naturalism become an extragalactic appetite that does not hate humanity because hatred would interfere with digestion. 20. Genestealer Cults — Body-snatcher films, changeling folklore, secret-cult pulp, family curses, and invasion paranoia create an alien uprising that begins not in the sky but at the dinner table. 21. Necrons — Killer robots and artificial-labor nightmares combine with mummy curses, tomb kings, and cursed archaeology to produce immortal metal dynasties waking from the grave with better weapons than the living. 22. Aeldari / Drukhari — Elves, cruel fairy courts, dying-earth fiction, lost civilizations, decadent aristocrats, and vampire cities become two responses to apocalypse: mourning the fall or continuing the party forever. 23. Night Lords — Batman, slashers, serial killers, Gothic villains, Grand Guignol, and public-execution culture become terror troops who transform punishment into theatre and fear into government. 24. T'au Empire and Leagues of Votann — The T'au combine utopian science fiction, anime mecha, and benevolent imperialism, while the Votann draw from mining frontiers, company towns, clone labor, ancestor cults, and corporate survivalism. 25. [REDACTED] — ▀▀▀ thrillers, ▀▀▀▀▀▀ societies, ▀▀▀▀▀▀▀ ▀▀▀▀▀▀, invasion ▀▀▀▀▀▀▀▀, Dr. ▀▀▀▀▀▀, and ▀▀▀▀▀ mythology become a Space Marine legion so committed to ▀▀▀▀▀▀▀▀ that truth itself is rendered operationally ▀▀▀▀▀▀. Audio Book Stories 01 Introduction. The Fascination of the Ghost Story, by Arthur B. Reeve 02 The Apparition of Mrs. Veal by Daniel Defoe 03 Canon Alberic's Scrap-Book by M. R. James 04 The Haunted and the Haunters by Edward Bulwer-Lytton 05 The Silent Woman by Leopold Kompert 06 Banshees 07 The Man Who Went Too Far by E. F. Benson 08 The Woman's Ghost Story by Algernon Blackwood 09 The Rival Ghosts by Brander Matthews 11 The Damned Thing by Ambrose Bierce 12 The Interval by Vincent O'Sullivan 13 Some Real American Ghosts Part 1 14 Some Real American Ghosts Part 2 PGttCM Season 23 Order(all episodes will be recorded 1. Sinners (2025) August week 4 Story: “The Music of Erich Zann,” H. P. Lovecraft Music becomes a weapon, a barrier, and an opening into something beyond the human world. Complete YouTube reading 2. Bride of Frankenstein (1935) September week 1 Story: “Rappaccini's Daughter,” Nathaniel Hawthorne A scientist transforms his daughter into something beautiful, deadly, and isolated from ordinary human intimacy. The created woman is treated simultaneously as experiment, daughter, monster, and possible lover. Complete YouTube reading 3. Ready or Not (2019) September week 2 Story: “The Most Dangerous Game,” Richard Connell Wealthy predators turn the hunting of a human being into sport and tradition. Complete YouTube reading 4. Blade II (2002) September week 3 Story: “The Room in the Tower,” E. F. Benson A recurring nightmare leads to a room occupied by a ravenous female vampire. Complete YouTube reading 5. Obsession (2026) September week 4 Story: “The Birth-Mark,” Nathaniel Hawthorne Love curdles into the conviction that another person must be altered and perfected. Complete YouTube reading 6. RoboCop (1987) October week 1 Story: “The Man That Was Used Up,” Edgar Allan Poe A celebrated military hero is gradually revealed to be an assemblage of manufactured replacement parts. Prosthetic reconstruction, militarism, masculine propaganda, and brutal satire. Complete YouTube reading 7. Johnny Mnemonic (1995) October week 2 Story: “A Logic Named Joe,” Murray Leinster Information technology becomes dangerously helpful, invasive, and impossible to contain. Complete YouTube audiobook 8. Strange Days (1995) October week 3 Story: “The Crystal Egg,” H. G. Wells A mysterious device allows its owner to watch another world—and may allow that world to watch him. The voyeurism, addictive looking, and technologically mediated experience. Complete YouTube reading 9. Brainstorm (1983) October week 4 Story: “The Story of the Late Mr. Elvesham,” H. G. Wells A wealthy old scientist finds a way to transfer his consciousness into a young man's body. It turns recorded experience and technological immortality into an intimate identity nightmare. Complete YouTube reading 10. Burst City (1982) November week 1 Story: “The Machine Stops,” E. M. Forster A society has surrendered its bodies, relationships, and environment to an enormous technological system. Complete YouTube reading 11. Neo Tokyo (1987) November week 2 Story: “The City of the Singing Flame,” Clark Ashton Smith A traveller discovers a magnificent alternate city whose alien music and architecture exert an increasingly irresistible pull. Complete YouTube reading 12. Total Recall (1990) November week 3 Story: “The Defenders,” Philip K. Dick Humanity's understanding of its war and surrounding reality has been deliberately manufactured. Complete YouTube reading 13. Sorry to Bother You (2018) November week 4 Story: “The Business Man,” Edgar Allan Poe A self-satisfied entrepreneur explains his increasingly violent career as though criminal ingenuity were merely sound business practice. Complete YouTube reading 14. Little Shop of Horrors (1986) December week 1 Story: “The Flowering of the Strange Orchid,” H. G. Wells A mild collector brings home an exotic plant that proves predatory. Carnivorous botany, human loneliness, and the inability to recognize danger until it is wrapped around your throat. Complete YouTube reading 15. Slither (2006) December week 2 Story: “The Derelict,” William Hope Hodgson An explorer returns from an ancient ruin carrying something that has taken root inside his body. Complete YouTube reading 16. Swiss Army Man (2016) December week 3 Story: “The Story of the Inexperienced Ghost,” H. G. Wells A lonely, ineffectual dead man cannot remember how to leave the living world, and an overconfident living man attempts to help him. Complete YouTube reading 17. Happy Death Day (2017) December week 4 Story: “The Clock That Went Backward,” Edward Page Mitchell A clock literally carries its characters backwards through time. Complete YouTube reading 18. The Gorge (2025) January week 1 Story: “The People of the Pit,” A. Merritt An isolated traveller discovers an abyss containing an ancient, inhuman civilization and something that calls irresistibly from below. Complete YouTube reading Reality Comes Apart January week 2 19. The Fourth Kind (2009) Story: “The Hanging Stranger,” Philip K. Dick An ordinary man notices an impossible event that everyone else accepts, then discovers that his community may no longer be human. Complete YouTube reading 20. Dark City (1998) January week 3 Story: “The Street That Wasn't There,” Clifford D. Simak and Carl Jacobi Familiar pieces of a city begin disappearing as reality is quietly revised around its inhabitants. Complete YouTube reading 21. Stir of Echoes (1999) January week 4 Story: “The Beckoning Fair One,” Oliver Onions A man living alone becomes increasingly dominated by an unseen female presence whose influence may be supernatural, psychological, or both. Complete YouTube reading
Bad Bunny has had a busy week, with new recognition, political attention, legal developments, and another major fashion collaboration making headlines. At the 2026 MTV Video Music Awards, Bad Bunny won Best Latin for “NUEVAYoL,” a track from his Puerto Rican-focused album DeBÍ TiRAR MáS FOToS. He was not at the ceremony, and has not publicly explained his absence. The award follows a highly successful world tour that ended with additional performances in San Juan in August. The song's celebration of New York's Puerto Rican identity has also helped keep Bad Bunny's broader cultural message in the spotlight. The album blends contemporary urbano with salsa, plena, bolero, and jíbaro influences, and “NUEVAYoL” incorporates elements associated with classic Puerto Rican music. Another major story involves Brazilian President Luiz Inácio Lula da Silva. His campaign released a Portuguese adaptation of Bad Bunny's “Lo Que Le Pasó a Hawaii” in a video promoting Brazilian sovereignty and criticizing outside pressure from the United States. The rewritten lyrics refer to rivers, beaches, and rare-earth minerals. Agence France-Presse reported that the campaign version had attracted nearly seven million social-media views. There is conflicting reporting over authorization. TVT News said Bad Bunny's team authorized the use, while AFP reported that a Workers' Party source said the artist had not granted rights. Bad Bunny himself has not been publicly reported as endorsing Lula's campaign. The original song examines cultural displacement, gentrification, tourism, and the fear that Puerto Rico could lose control of its identity and territory. In legal news, Digital Music News reports that the long-running “Frankenstein” reggaeton copyright case is continuing. Plaintiffs are asking a judge to reconsider a ruling that favored Bad Bunny on part of the dispute. A hearing on that request is tentatively expected in late October. Fashion followers are also watching Bad Bunny's ongoing partnership with Adidas. Design Scene reports that a new Gazelle Indoor “Solar Gold” colorway is expected in October, with a reported retail price of 140 dollars. The bright yellow-and-black design follows other recent releases, including Badbo models that arrived in late September. Bad Bunny's influence therefore remains visible across music, politics, entertainment law, and fashion, even as he appears to be taking time away from the spotlight after his tour. Thank you for tuning in. Come back next week for more. This has been a Quiet Please production, and for me, check out Quiet Please Dot A I. Some great Deals https://amzn.to/49SJ3Qs For more check out http://www.quietplease.ai
Check out this link to buy DB's Books[link] Upcoming Episodes Grimdark Grandparents: Warhammer 40,000 and Its Pulp DNA 0. What's a W.H.40.K? — An introduction to Warhammer 40,000's immense science-fantasy horror setting, where a corpse-worshipping human empire fights aliens, daemons, ancient machines, and its own terrible history. 1. The Imperium of Man — From Dune, Foundation, Roman decline, and medieval Christendom comes a galactic empire where the future is not progress but a dead civilization kept moving through faith, fear, and paperwork. 2. Space Marines — The Imperium's iconic super-soldiers combine power armor and military science fiction with crusading knights, Spartan myth, warrior monks, kidnapped children, and the seductive imagery of authoritarian heroism. 3. Astra Militarum / Imperial Guard — Drawing from trench literature, British war comics, Kipling, and future-war fiction, the Guard are ordinary people sent into cosmic horror with little more than courage and a lasgun. 4. Adeptus Mechanicus — Frankenstein, Metropolis, invention pulp, and lost-technology stories meet in a machine cult where science survives, understanding does not, and repairs are performed like religious rites. 5. Adepta Sororitas / Ecclesiarchy — Gothic convents, martyr legends, Joan of Arc, witchfinders, and Hammer horror become armored saints who turn faith, suffering, and flamethrowers into instruments of Imperial power. 6. The Inquisition — The occult detective and witch-hunter become one terrifying Imperial investigator who may uncover the truth only to burn every witness, building, and planet touched by it. 7. Rogue Traders — Planetary romance, colonial adventure fiction, space opera, pirates, and merchant princes combine in explorers licensed to discover strange worlds, trade with them, rob them, or claim them for the Imperium. 8. Adeptus Custodes — Ancient palace guards, sacred kingship, Achilles, and Gilgamesh stand behind the Emperor's golden companions: philosopher-warriors created to protect a god who is already dead. 9. Adeptus Titanicus / Titan Legions — Giant robots descend from Martian tripods, dreadnoughts, siege engines, golems, and war gods to become walking cathedrals capable of teaching entire cities to kneel. 10. The Horus Heresy — Warhammer's great betrayal myth draws from Lucifer, Cain and Abel, Arthur and Mordred, Roman civil wars, and fallen-hero stories to explain how the Emperor's favored son broke the human future from within. 11. Chaos Space Marines — Fallen angels, Byronic rebels, cursed champions, and Milton's Satan become immortal super-soldiers whose genuine grievances have curdled into rebellion, bitterness, and damnation. 12. Chaos Daemons — Medieval demonology, grimoires, occult pulp, weird fiction, and nightmare cinema become psychic entities made from mortal rage, despair, ambition, obsession, and desire. 13. World Eaters / Khorne — Sword-and-sorcery pulp, berserker sagas, gladiator spectacle, and revenge tragedy create warriors who reduce every political, emotional, and moral problem to an axe blow. 14. Death Guard / Nurgle — Plague literature, danse macabre, zombie films, body horror, and graveyard humor meet in rotting soldiers who have surrendered to decay and discovered that the joke is that they are happy. 15. Thousand Sons / Tzeentch — Lovecraft, Clark Ashton Smith, mummy fiction, occult scholarship, and forbidden-book stories become sorcerers who sought perfect knowledge only to discover that the book was reading them back. 16. Emperor's Children / Slaanesh — Decadent literature, Gothic aristocrats, glam horror, cursed art, and The Picture of Dorian Gray shape warriors who pursued perfection until beauty became an endlessly hungry mouth. 17. Chaos / Imperial Knights — Haunted castles, ancestral armor, chivalric romance, feudal bloodlines, and giant-robot fiction become seventy-foot war machines carrying generations of family pride, duty, resentment, and curses. 18. Orks — Fantasy orcs, Mad Max, British hooligan comedy, fungus horror, and invasive-species stories combine in a joyful alien ecosystem where killing the enemy may only plant the next war. 19. Tyranids — Alien, The Thing, bug-war fiction, parasite horror, and cosmic naturalism become an extragalactic appetite that does not hate humanity because hatred would interfere with digestion. 20. Genestealer Cults — Body-snatcher films, changeling folklore, secret-cult pulp, family curses, and invasion paranoia create an alien uprising that begins not in the sky but at the dinner table. 21. Necrons — Killer robots and artificial-labor nightmares combine with mummy curses, tomb kings, and cursed archaeology to produce immortal metal dynasties waking from the grave with better weapons than the living. 22. Aeldari / Drukhari — Elves, cruel fairy courts, dying-earth fiction, lost civilizations, decadent aristocrats, and vampire cities become two responses to apocalypse: mourning the fall or continuing the party forever. 23. Night Lords — Batman, slashers, serial killers, Gothic villains, Grand Guignol, and public-execution culture become terror troops who transform punishment into theatre and fear into government. 24. T'au Empire and Leagues of Votann — The T'au combine utopian science fiction, anime mecha, and benevolent imperialism, while the Votann draw from mining frontiers, company towns, clone labor, ancestor cults, and corporate survivalism. 25. [REDACTED] — ▀▀▀ thrillers, ▀▀▀▀▀▀ societies, ▀▀▀▀▀▀▀ ▀▀▀▀▀▀, invasion ▀▀▀▀▀▀▀▀, Dr. ▀▀▀▀▀▀, and ▀▀▀▀▀ mythology become a Space Marine legion so committed to ▀▀▀▀▀▀▀▀ that truth itself is rendered operationally ▀▀▀▀▀▀. Audio Book Stories 01 Introduction. The Fascination of the Ghost Story, by Arthur B. Reeve 02 The Apparition of Mrs. Veal by Daniel Defoe 03 Canon Alberic's Scrap-Book by M. R. James 04 The Haunted and the Haunters by Edward Bulwer-Lytton 05 The Silent Woman by Leopold Kompert 06 Banshees 07 The Man Who Went Too Far by E. F. Benson 08 The Woman's Ghost Story by Algernon Blackwood 09 The Rival Ghosts by Brander Matthews 11 The Damned Thing by Ambrose Bierce 12 The Interval by Vincent O'Sullivan 13 Some Real American Ghosts Part 1 14 Some Real American Ghosts Part 2 PGttCM Season 23 Order(all episodes will be recorded 1. Sinners (2025) August week 4 Story: “The Music of Erich Zann,” H. P. Lovecraft Music becomes a weapon, a barrier, and an opening into something beyond the human world. Complete YouTube reading 2. Bride of Frankenstein (1935) September week 1 Story: “Rappaccini's Daughter,” Nathaniel Hawthorne A scientist transforms his daughter into something beautiful, deadly, and isolated from ordinary human intimacy. The created woman is treated simultaneously as experiment, daughter, monster, and possible lover. Complete YouTube reading 3. Ready or Not (2019) September week 2 Story: “The Most Dangerous Game,” Richard Connell Wealthy predators turn the hunting of a human being into sport and tradition. Complete YouTube reading 4. Blade II (2002) September week 3 Story: “The Room in the Tower,” E. F. Benson A recurring nightmare leads to a room occupied by a ravenous female vampire. Complete YouTube reading 5. Obsession (2026) September week 4 Story: “The Birth-Mark,” Nathaniel Hawthorne Love curdles into the conviction that another person must be altered and perfected. Complete YouTube reading 6. RoboCop (1987) October week 1 Story: “The Man That Was Used Up,” Edgar Allan Poe A celebrated military hero is gradually revealed to be an assemblage of manufactured replacement parts. Prosthetic reconstruction, militarism, masculine propaganda, and brutal satire. Complete YouTube reading 7. Johnny Mnemonic (1995) October week 2 Story: “A Logic Named Joe,” Murray Leinster Information technology becomes dangerously helpful, invasive, and impossible to contain. Complete YouTube audiobook 8. Strange Days (1995) October week 3 Story: “The Crystal Egg,” H. G. Wells A mysterious device allows its owner to watch another world—and may allow that world to watch him. The voyeurism, addictive looking, and technologically mediated experience. Complete YouTube reading 9. Brainstorm (1983) October week 4 Story: “The Story of the Late Mr. Elvesham,” H. G. Wells A wealthy old scientist finds a way to transfer his consciousness into a young man's body. It turns recorded experience and technological immortality into an intimate identity nightmare. Complete YouTube reading 10. Burst City (1982) November week 1 Story: “The Machine Stops,” E. M. Forster A society has surrendered its bodies, relationships, and environment to an enormous technological system. Complete YouTube reading 11. Neo Tokyo (1987) November week 2 Story: “The City of the Singing Flame,” Clark Ashton Smith A traveller discovers a magnificent alternate city whose alien music and architecture exert an increasingly irresistible pull. Complete YouTube reading 12. Total Recall (1990) November week 3 Story: “The Defenders,” Philip K. Dick Humanity's understanding of its war and surrounding reality has been deliberately manufactured. Complete YouTube reading 13. Sorry to Bother You (2018) November week 4 Story: “The Business Man,” Edgar Allan Poe A self-satisfied entrepreneur explains his increasingly violent career as though criminal ingenuity were merely sound business practice. Complete YouTube reading 14. Little Shop of Horrors (1986) December week 1 Story: “The Flowering of the Strange Orchid,” H. G. Wells A mild collector brings home an exotic plant that proves predatory. Carnivorous botany, human loneliness, and the inability to recognize danger until it is wrapped around your throat. Complete YouTube reading 15. Slither (2006) December week 2 Story: “The Derelict,” William Hope Hodgson An explorer returns from an ancient ruin carrying something that has taken root inside his body. Complete YouTube reading 16. Swiss Army Man (2016) December week 3 Story: “The Story of the Inexperienced Ghost,” H. G. Wells A lonely, ineffectual dead man cannot remember how to leave the living world, and an overconfident living man attempts to help him. Complete YouTube reading 17. Happy Death Day (2017) December week 4 Story: “The Clock That Went Backward,” Edward Page Mitchell A clock literally carries its characters backwards through time. Complete YouTube reading 18. The Gorge (2025) January week 1 Story: “The People of the Pit,” A. Merritt An isolated traveller discovers an abyss containing an ancient, inhuman civilization and something that calls irresistibly from below. Complete YouTube reading Reality Comes Apart January week 2 19. The Fourth Kind (2009) Story: “The Hanging Stranger,” Philip K. Dick An ordinary man notices an impossible event that everyone else accepts, then discovers that his community may no longer be human. Complete YouTube reading 20. Dark City (1998) January week 3 Story: “The Street That Wasn't There,” Clifford D. Simak and Carl Jacobi Familiar pieces of a city begin disappearing as reality is quietly revised around its inhabitants. Complete YouTube reading 21. Stir of Echoes (1999) January week 4 Story: “The Beckoning Fair One,” Oliver Onions A man living alone becomes increasingly dominated by an unseen female presence whose influence may be supernatural, psychological, or both. Complete YouTube reading
How does an independent press survive by publishing the books the Big Five overlook? Amherst College professor and Spanglish scholar Ilan Stavans joins Sarah Russo to talk about Restless Books, the press he founded to champion immigrant writers, literature in translation, and the books that live between languages. Ilan shares the origin of Restless Books (including the investor who told him to take a finance course first), the creation of the Kellman Prize for Immigrant Literature, and why he considers Spanglish one of the great creative forces in American English. Ilan and Sarah dig into the practical side of publishing in translation: finding the right translator, editing hybrid-language manuscripts, and navigating the politics around a single project. Ilan also offers advice for immigrant and early-career writers, and makes the case that small presses are doing some of the most important work in publishing today.For more information on Ilan and Restless Books, please visit the website.Books mentioned in this episode[1] :“People Who Live Alone Talk Too Much,” by Sofi Stambo “A Nation Wrestles with God: American Prophets, Philosophers, and Firebrands,” edited by Ilan Stavans “The People's Tongue,” edited by Ilan Stavans “Cecil the Lion Had to Die,” by Olena Stiazhkina, translated by Dominique Hoffmann “Daniel and Ismail,” by Juan Pablo Iglesias and illustrated by Alex Peris “Fictional Translations,” by Ilan Stavans Also mentioned: Don Quixote, Frankenstein, and The OdysseyKey Moments2:02 - How a Midlife Crisis Turned Into a Publishing House
Autumn is officially here which means #SpookySeason2026 is here, so we are dropping our first ever MONSTERS MEGA EPISODE episode! Prepared to be scared out of your socks, hide under the bed, and take notes so you can be the final girl. You won't be safe listening to this Mega Episode in the dark! This week your two monster-hunting hosts celebrate some of our creepiest episodes across pop culture! Here's what's in store for this week's frightening lineup:Frankenstein in Pop Culture - Learn everything you need to know about the first monster of science fiction!Van Helsing in Pop Culture (GHL 476) - Hear the story of Dracula's most dedicated foeVampires with Lon Harris (GHL 465) - Explore the most popular vampire story of all time!Zombies - Dive into the real world history behind the most tv binge-worthy undead monstersHaunted Mansion (GHL 470) - Go behind the scenes of the Disney Parks ghoul-fueled attraction and it's deep loreWhether you're ready for these jump scares or will be listening under the covers, this mega episode on Monsters is filled with screams, magical powers, and historical mysticism which birthed forth these baddies ! Listen now and join us next week for even more Geek History Lesson adventures.Follow Lon Harris on BlueSky ► https://bsky.app/profile/lons.bsky.socialFor more exclusive bonus podcasts like our Justice League Review show, our Teen Titans Podcast, and our GHL Exclusive Discord, join the Geek History Lesson Patreon ► https://www.patreon.com/JawiinGHL RECOMMENDED READING from this episode► https://www.geekhistorylesson.com/recommendedreadingFOLLOW GHL►Instagram: https://www.instagram.com/geekhistorylessonThreads: https://www.threads.net/@geekhistorylessonFacebook: http://www.facebook.com/geekhistorylessonGet Your GHL Pin: https://geekhistorylesson.etsy.comYou can follow Ashley at https://www.threads.net/@ashleyvrobinson or https://www.ashleyvictoriarobinson.com/Follow Jason at https://www.threads.net/@jawiin or https://bsky.app/profile/jasoninman.bsky.socialThanks for showing up to class today. Class is dismissed!
In this solo episode, Bradley Hamner continues the operating system series with a detail most owners skip: making every document in the business look the same. He explains why a shared standard for fonts, headings, colors, and margins signals to the team that the company runs by design. Without one, documents end up looking thrown together, like Frankenstein.Bradley walks through the Playbook for Creating Playbooks, the template behind BlueprintOS documentation. He shares the formatting standards he uses and the 15-second process for starting any new document: copy the template, name it, and file it in the right playbook folder. He also explains why he loads the same standard into Claude as a skill, so AI-produced assets come back in the house format.Formatting alone will not grow revenue, and Bradley says so directly. What does it tell your team when every document looks different? How much of your business still depends on your ability to make things up on the fly? And what changes when the owner is the first one to stop winging it? If you are ready to run your business on documented systems, this episode is for you.Join us in the free Circle community and hop on the email list to get practical tools, resources, trainings, and updates on what we're working on next.https://blueprintos.com/assets/ ResourcesCheck out the book Bradley recommends, Thinking in SystemsCatch up on the operating system series with 602: Marie Kondo Your Digital FilesListen to 603: The Operating System ArchitectureHear the first Lead Yourself First episode with Dustin BoothThanks to our sponsorsCoach P ConsultingCoach P found great success as an insurance agent and agency owner, leading a large and stable team of top-performing professionals. Today, he shares the systems, delegation strategies, and specialization methods he developed along the way. Gain access to weekly training calls and mentoring at:https://coachpconsulting.comBe sure to mention you heard about it on the Above The Business Podcast.Autopilot RecruitingAutopilot Recruiting helps small business owners solve staffing challenges by taking the stress out of hiring. Their dedicated recruiters work on your behalf every business day. They optimize your applicant tracking system, post job listings, and source candidates through social media and local communities.With their continuous recruiting approach, you can save time, reduce hiring costs, and receive pre-screened candidates without paying hiring fees or commissions.https://www.autopilotrecruiting.comMention Above The Business Podcast when you reach out.Direct ClicksDirect Clicks specializes in digital marketing solutions designed for business owners who want measurable results. Their team supports companies through paid advertising, SEO, and strategic marketing systems that help generate consistent leads.Exclusive offer for listeners:https://directclicksinc.com/abovethebusinessGet a free marketing campaign audit where their team reviews your website, SEO, content, social media, and paid advertising, then provides actionable recommendations. If you partner with them, all setup fees will be waived.About Above The BusinessAbove The Business is hosted by Bradley Hamner, founder of BlueprintOS, and focuses on helping small business owners transition from Rainmaker to Architect by building systems, teams, and operations that scale without their constant involvement.
Let's end GDT Month with his recent flick. His adaptation of Frankenstein. One of the most popular, adaptable, and parodied pieces of pop culture of all time. Netflix gave this dream project of del Toros all the creativity, nuance, and care you expect from the maestro. But does it all work? Follow Billy and Raul on Bluesky @masterofpuns196 and @raulvaderrdz as well as the main show @synspod
Smo na poti k novemu Frankensteinu, ki ga ne bomo znali več nadzorovati, ali pa smo vstopili v novo renesanso? Tako se sprašujejo mnogi ob aktualnem bliskovitem napredku umetne inteligence. Na eni strani se vrstijo opažanja, da prehajamo v nove čase, ki bodo zelo drugačni od tistih, ki smo jih bili vajeni, da bo marsikaj potekalo veliko hitreje in učinkoviteje; a kaj če bo iz enačbe proti svoji volji izvzet tudi človek? S čim imamo dejansko opravka?Sogovorniki: Matej Huš, doktor fizikalne kemije in raziskovalec na Kemijskem inštitutu, ki se ukvarja z znanostjo in tehnologijo ter spremlja tudi razvoj umetne inteligence. Matjaž Humar, raziskovalec na Institutu Jožef Stefan, kjer se ukvarja z biofotoniko, laserji in miniaturnimi optičnimi napravami, pri svojem raziskovalnem delu pa vse bolj uporablja tudi umetno inteligenco. Martin Žnidaršič, dolgoletni raziskovalec umetne inteligence in strojnega učenja na Odseku za tehnologije znanja Instituta Jožef Stefan. Andrej Bauer, matematik in raziskovalec na Fakulteti za matematiko in fiziko Univerze v Ljubljani, ki se v zadnjem času intenzivno ukvarja s tem, kako umetna inteligenca spreminja matematiko. Ernest Ženko, filozof in vodja Centra za odgovorno rabo umetne inteligence v Kopru, kjer se posveča širšim družbenim, okoljskim in etičnim vprašanjem, ki jih prinaša razvoj umetne inteligence.
Disney surveys are asking increasingly pointed questions about discounts, trip costs, and what actually gets guests to book, while Disneyland history takes center stage with the story of Walt Disney's never-built Lilliputian Land. Len Testa and Jim Hill also cover changes at Expedition Everest, Haunted Mansion construction, Oogie Boogie Bash availability, and rumors about Darkmoor's next attraction at Epic Universe. Then Jim traces how Walt's fascination with miniatures, model trains, and mechanical figures helped shape an unrealized Disneyland land - and eventually Storybook Land. NEWS • New Disney surveys dig into whether resort discounts actually persuade guests to book, stay longer, or change hotels. • Expedition Everest replaces its single rider line with an odds-and-evens loading system designed to improve capacity. • Walt Disney Imagineering files a Haunted Mansion construction permit as work prepares the area for future Magic Kingdom expansion. • Oogie Boogie Bash tickets remain available at Disneyland while Mickey's Not-So-Scary Halloween Party sells out at Walt Disney World. • Rumors point toward a Bride of Frankenstein indoor coaster as a possible future expansion for Darkmoor at Epic Universe. FEATURE • Jim explores Walt Disney's original plans for Lilliputian Land, a miniature world once envisioned between Fantasyland and Tomorrowland. • Walt's backyard Carolwood Pacific Railroad and his fascination with miniature Americana helped inspire the proposed land. • Project Little Man revealed the technical challenges of building tiny mechanical performers and helped push Disney toward full-sized Audio-Animatronics. • One piece of the Lilliputian Land concept survived, evolving from the opening-day Canal Boats of the World into Disneyland's Storybook Land Canal Boats. For this episode's full show notes, click here.HOSTS • Jim Hill - X/Twitter: @JimHillMedia | Instagram: @JimHillMedia | jimhillmedia.com • Len Testa - Bluesky: @lentesta.bsky.social | Instagram: @len.testa | touringplans.com FOLLOW • Facebook: @JimHillMediaNews • YouTube: @jimhillmedia • TikTok: @jimhillmedia • Patreon: https://www.patreon.com/jimhillmedia/ SUPPORT Support the show and access bonus episodes and additional content at https://www.patreon.com/jimhillmedia. PRODUCTION CREDITS Edited by Dave Grey Produced by Eric Hersey - https://strongmindedagency.com SPONSOR Planning your next Disney vacation? Visit BeOurGuestVacations.com to get started. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. https://www.jimhillmedia.com/sponsor/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Disney surveys are asking increasingly pointed questions about discounts, trip costs, and what actually gets guests to book, while Disneyland history takes center stage with the story of Walt Disney's never-built Lilliputian Land. Len Testa and Jim Hill also cover changes at Expedition Everest, Haunted Mansion construction, Oogie Boogie Bash availability, and rumors about Darkmoor's next attraction at Epic Universe. Then Jim traces how Walt's fascination with miniatures, model trains, and mechanical figures helped shape an unrealized Disneyland land - and eventually Storybook Land. NEWS • New Disney surveys dig into whether resort discounts actually persuade guests to book, stay longer, or change hotels. • Expedition Everest replaces its single rider line with an odds-and-evens loading system designed to improve capacity. • Walt Disney Imagineering files a Haunted Mansion construction permit as work prepares the area for future Magic Kingdom expansion. • Oogie Boogie Bash tickets remain available at Disneyland while Mickey's Not-So-Scary Halloween Party sells out at Walt Disney World. • Rumors point toward a Bride of Frankenstein indoor coaster as a possible future expansion for Darkmoor at Epic Universe. FEATURE • Jim explores Walt Disney's original plans for Lilliputian Land, a miniature world once envisioned between Fantasyland and Tomorrowland. • Walt's backyard Carolwood Pacific Railroad and his fascination with miniature Americana helped inspire the proposed land. • Project Little Man revealed the technical challenges of building tiny mechanical performers and helped push Disney toward full-sized Audio-Animatronics. • One piece of the Lilliputian Land concept survived, evolving from the opening-day Canal Boats of the World into Disneyland's Storybook Land Canal Boats. For this episode's full show notes, click here.HOSTS • Jim Hill - X/Twitter: @JimHillMedia | Instagram: @JimHillMedia | jimhillmedia.com • Len Testa - Bluesky: @lentesta.bsky.social | Instagram: @len.testa | touringplans.com FOLLOW • Facebook: @JimHillMediaNews • YouTube: @jimhillmedia • TikTok: @jimhillmedia • Patreon: https://www.patreon.com/jimhillmedia/ SUPPORT Support the show and access bonus episodes and additional content at https://www.patreon.com/jimhillmedia. PRODUCTION CREDITS Edited by Dave Grey Produced by Eric Hersey - https://strongmindedagency.com SPONSOR Planning your next Disney vacation? Visit BeOurGuestVacations.com to get started. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. https://www.jimhillmedia.com/sponsor/ Learn more about your ad choices. Visit megaphone.fm/adchoices
ACOFAE Podcast Presents: International Podcast Day 2026 with friend Alana! Laura Marie and Jessica Marie are thrilled to celebrate International Podcast Day with new friends and old characters made new! Alana brings to the podcast, The Strange Case of the Alchemist's Daughter by Theodora Goss. Alana knows ACOFAE because this book is full of all the things the pod loves like, strong women, daddy issues, independence of women, female friendships, found family and more. Truly this book has it all, even Sherlock Holmes! New friend Alana brings a wonderful discussion and throws out some suggestions for the pod such as Carmilla and Veronica Speedwell that are well noted! Join ACOFAE and Alana as they discuss the dryness of classical literature, the audio experience of the classics, and how the classics do not have to be this unaccessible thing. There's a niche for everyone! TW / CW: none to our awareness For additional TW/CW information for your future reads, head to this site for more: https://triggerwarningdatabase.com/ Spoilers: The Strange Case of the Alchemist's Daughter by Theodora Goss Mentions: Dracula, Frankenstein *Thank you for listening to us! Please subscribe and leave a 5-star review and follow us on Instagram at @ACOFAEpodcast and on our TikToks! TikTok: ACOFAELaura : Laura Marie ( https://www.tiktok.com/@acofaelaura) ACOFAEJessica : Jessica Marie (https://www.tiktok.com/@acofaejessica) Instagram: @ACOFAEpodcast https://www.instagram.com/acofaepodcast/ @ACOFAELaura https://www.instagram.com/acofaelaura/
Erik Childress & Peter Sobczynski are back on physical media duty this week featuring some of Peter's favorites and maybe some of his least favorites. Not going to tell you which. But it's a show filled with the work of Leos Carax plus bizarre musicals ranging from the life of Jesus to Steve Martin getting very serious very quickly. We've got Frank Sinatra, Bette Davis, Samuel L. Jackson and a pair of Robin Williams upgrades plus sets celebrating Frankenstein and The Wolf Man. There's a somewhat forgotten ‘80s pairing of Jeff Bridges and Kim Basinger and a family fantasy with John Goodman. One of the better Tarantino-inspired films of the ‘90s gets the Arrow treatment as does one of the greatest sci-fi films ever. 3:48 - Criterion (Three Films By Leos Carax (4K)) 22:12 - Universal (Frankenstein Complete Legacy 4K, The Wolf Man Complete Legacy 4K) 27:22 - Warner Archive (Marked Woman, Pennies from Heaven) 47:06 - Ad Break 49:06 - Kino (Jesus Christ Superstar 4K, The Caveman's Valentine, Brit Noir Collection IV) 1:05:56 - Vinegar Syndrome (The First Deadly Sin (4K)) 1:15:02 - Alliance (Nadine, The Borrowers) 1:26:54 - Ad Break 1:28:54 - Disney (Dead Poets Society (4K), Mrs. Doubtfire (4K)) 1:46:22 - Arrow (Forbidden Planet (4K), Go (4K)) 2:10:25 - New TV and on Theatrical Titles Blu-ray (Happy's Place (Season Two), Law and Order: SVU—Season 27, Continental '25, My Sole Desire, Young Mothers, HoneyJoon, Idiotka, Shadow Force (4K)) 2:12:13 - New Blu-ray Announcements CLICK ON THE FILMS TO RENT OR PURCHASE AND HELP OUT THE MOVIE MADNESS PODCAST OR BUY FROM MOVIEZYNG Be sure to check out Erik's Weekly Box Office Column – At Rotten Tomatoes Critics' Classics Series – At Elk Grove Cinema in Elk Grove Village, IL Chicago Screening Schedule - All the films coming to theaters and streaming Physical Media Schedule - Click & Buy upcoming titles for your library. (Direct purchases help the Movie Madness podcast with a few pennies.) Erik's Linktree - Where you can follow Erik and his work anywhere and everywhere. The Movie Madness Podcast has been recognized by Million Podcasts as one of the Top 100 Best Movie Review Podcasts as well as in the Top 60 Film Festival Podcasts and Top 100 Cinephile Podcasts. MillionPodcasts is an intelligently curated, all-in-one podcast database for discovering and contacting podcast hosts and producers in your niche perfect for PR pitches and collaborations. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
This is Episode 3 of a special six-part Jane Austen series, sponsored throughout by Strictly Jane Austen. When we picture Jane Austen's world, most of us aren't actually picturing Hampshire in 1810 — we're picturing a television program. Colin Firth striding out of a lake. Keira Knightley on a windswept crag. A proposal in the pouring rain in front of a domed temple. The great screen adaptations gave Austen's imagined places real addresses, and this episode maps them out house by house. Jonathan Thomas is joined by Dr. Gabrielle Malcolm — author, leading expert on Austen fan culture and literary tourism, and creative director at Strictly Jane Austen — who has interviewed the people who actually made the 1995 Pride and Prejudice and knows exactly which door is which. They cover why 1995 changed everything (before it, every adaptation was studio-bound), Simon Langton's instruction to "throw open the drawing room doors," and the hierarchy of houses the production had to find: Luckington Court as Longbourn, Edgcote House as Netherfield, Lyme Park and Sudbury Hall as Pemberley, and the village of Lacock as Meryton. Along the way: the message Susannah Harker sent Gabrielle about the summer of 1994; the choreographer who poured Coca-Cola on Edgcote's polished floors so the cast wouldn't slip; the truth about who actually dived into that lake, and where the underwater shots were really filmed; why Chatsworth is arguably too grand even for Mr. Darcy; the Wilton Diptych and how Wilton House saved it; Stourhead's Arcadian fantasy gardens; and Barton Cottage on the Flete Estate in South Devon, with a five-bedroom "cottage," only two servants, and a Ferrars family named after a nearby Devon village. Most usefully of all, Gabrielle explains which of these places you can actually get into, which ones you can only nose around on an estate agent's website, and how to string the best of them together into one Wiltshire trip.
The story was written as a serial, published one chapter at a time from October 1921 to June 1922 in the amateur publication Home Brew. And because it was written during this time, you will hear language not considered politically correct today – particularly that of words used to describe people of color. But as I have done in the past, I am leaving it all intact to preserve the author's words in their original form, and so we never forget our sometimes horrible history.ABOUT THE STORY: It's a classic tale from H.P. Lovecraft entitled “Herbert West: Reanimator”. Herbert West is perhaps the best-known of Lovecraft's human characters. Most people upon hearing the word “Reanimator” will automatically think of the film from 1985 of the same name – based upon the story you're about to hear. But loosely based. Very… loosely… based. They went more in a comedy direction with the film. Some believe Lovecraft did intend his originally story to be a parody of Frankenstein. But it doesn't really feel like a parody. At least, to the extent that parodies are supposed to be funny. Also, Herbert West is the antithesis of Victor Frankenstein. Whereas Mary Shelley's scientist is mad only to the extent he is prone to wild flights of passionate emotion and expressing himself in florid romantic speeches, Herbert West is hyper-rational, dispassionate, amoral, and unsentimental. Where Frankenstein is wracked with debilitating guilt, West is a sociopath, driven by a desire to prove his theories correct no matter what the cost. Maybe Lovecraft's point was that if anyone was going to bring dead bodies back to a kind of “life,” it would be a ruthless and unemotional scientist, not someone who sounds suspiciously like a lovesick poet. And, I guess he's probably right. Still, if you're after the big laughs like what was in the movie, “Herbert West: Reanimator” is not the place to find them. It's a story in six parts, but each part is essentially the same as the others: West reanimates a corpse. Reanimated corpse starts wrecking everything. West and the narrator conceal their involvement. Rinse and repeat. The story was written as a serial, published one chapter at a time from October 1921 to June 1922 in the amateur publication “Home Brew”. And because it was written during that time, you will hear language not considered politically correct today – particularly that of words used to describe people of color. But as I have done in the past, I am leaving it all intact to preserve the author's words in their original form, and so we never forget our sometimes horrible history. EPISODE BLOG PAGE (includes sources): https://weirddarkness.com/reanimatorSOURCES and RESOURCES: “Re-Animator: Tales of Herbert West” by H.P. Lovecraft: https://amzn.to/3Oc1V2sWeirdDarkness® is a registered trademark. Copyright ©2026, Weird Darkness.Midnight In The Macabre (MITM), originally aired: September 27, 2026LIKE WHAT YOU'RE HEARING? WEIRD DARKNESS posts episodes 7 DAYS A WEEK! Listen FREE wherever you get podcasts or visit https://weirddarkness.com/listen. • Paranormal • True Crime • Ghosts • UFOs • Cryptids • Unexplained • Want even more? Become an OFFICIAL WEIRDO for commercial-free episodes, bonus episodes, weeknight live chats, audiobooks & more at https://WeirdDarkness.com/OFFICIAL
Benito Antonio Martínez Ocasio, known worldwide as Bad Bunny, made headlines this week after authorizing Brazilian President Luiz Inácio Lula da Silva's reelection campaign to adapt his song “Lo Que Le Pasó a Hawaii.” The campaign released a Portuguese version on social media, reshaping the song's themes of cultural identity, territory, and foreign influence into a message about Brazilian sovereignty and criticism of outside political pressure. The artist's team confirmed that permission was granted, although the recording is not performed by Bad Bunny. The use of the song follows Lula's speech at the United Nations, where he criticized foreign interference and defended national self-determination. Brazilian outlets G1 and EFE reported that the campaign's adaptation also targets opposition candidate Flávio Bolsonaro and his relationship with the United States. The development has drawn attention because a song rooted in Puerto Rican history and concerns about displacement is now being used in a major Brazilian election. Bad Bunny also reached another major streaming milestone. According to Dork, “VeLDÁ,” his collaboration with Dei V and Omar Courtz, surpassed one billion Spotify streams this week. It became Bad Bunny's 36th song to reach Spotify's Billions Club, extending his lead over The Weeknd, who has 31 billion-streaming tracks. The milestone is also the first for both Dei V and Omar Courtz. In legal news, the long-running copyright case involving what plaintiffs call “Frankenstein” reggaeton is continuing. Digital Music News reports that the plaintiffs are asking a judge to reconsider a ruling that favored Bad Bunny and other defendants. A hearing on the reconsideration request is tentatively expected in late October, so the dispute remains active rather than resolved. Fashion fans also had a new release to follow. Bad Bunny and Adidas launched two Badbo models on September 26: the navy Badbo 1.0, priced at 160 dollars, and the lower-cut Badbo 1.1 in chalk white, priced at 120 dollars. Complex and Men's Journal reported that the shoes were released through Adidas and Complex, with the 1.1 receiving an app-focused release in the United States. That combination of political influence, streaming success, an ongoing legal battle, and another Adidas launch keeps Bad Bunny at the center of music and popular culture this week. Thank you for tuning in, and come back next week for more. This has been a Quiet Please production. For more, check out Quiet Please Dot A I. Some great Deals https://amzn.to/49SJ3Qs For more check out http://www.quietplease.ai
The 666 Weeks of Horror returns! This year we kick it off with another Hammer horror classic!
Hey Everyone! Only one more week until we drop a new show! That's right, we're about to un-hiatus. We've been working hard to craft up some new episodes and the cutest Klingon, Alexander is here to tell you about it. Plus, we're dropping a sneak peak of the next episode, "Ship in a Bottle"! It's Moriarty, Sherlock Holmes's--and now Picard's-- archenemy, and he's back to shake the Enterprise around again! We hope this holds you over until October 1st when Season 6 Episode 12 of ST:TNGeez! Not Another Star Trek Podcast drops! It's "Ship in a Bottle," and it's coming at you right about . . . next week. Even more available at: https://tngeez.com
Daily Dad Jokes (26 Sept 2026) The official Daily Dad Jokes Podcast electronic button now available on Amazon. The perfect gift for dad! Click here here to view! Shower Thoughts Podcast: We have another podcast called Daily Shower Thoughts, showcasing random, amusing and mind bending epiphanies. Search "Daily Shower Thoughts" in your podcast player or click here Email Newsletter: Looking for more dad joke humor to share? Then subscribe to our new weekly email newsletter. It's our weekly round-up of the best dad jokes, memes, and humor for you to enjoy. Spread the laughs, and groans, and sign up today! Click here to subscribe! Listen to the Daily Dad Jokes podcast here: https://dailydadjokespodcast.com/ or search "Daily Dad Jokes" in your podcast app. Jokes sourced and curated from reddit.com/r/dadjokes. Joke credits: dustaknuckz, lnc_gomes, Left-Distribution-13, Classic-Camp7513, National-Ad8416, Anxious-Today8489, Key-Wall-8264, Billyeggs, PortugalDoesntExist, SuvwI49, daas2, barewear2267, , ilikesidehugs, dustaknuckz, watchthisorthat, MiximumDennis, rabindranatagor Subscribe to this podcast via: iHeartMedia Spotify iTunes Google Podcasts YouTube Channel Social media: Instagram Facebook Twitter TikTok Discord Interested in advertising or sponsoring our show? Contact us at mediasales@klassicstudios.com Produced by Klassic Studios using AutoGen Podcast technology (http://klassicstudios.com/autogen-podcasts/) Learn more about your ad choices. Visit megaphone.fm/adchoices
Daily Dad Jokes (26 Sept 2026) The official Daily Dad Jokes Podcast electronic button now available on Amazon. The perfect gift for dad! Click here here to view! Shower Thoughts Podcast: We have another podcast called Daily Shower Thoughts, showcasing random, amusing and mind bending epiphanies. Search "Daily Shower Thoughts" in your podcast player or click here Email Newsletter: Looking for more dad joke humor to share? Then subscribe to our new weekly email newsletter. It's our weekly round-up of the best dad jokes, memes, and humor for you to enjoy. Spread the laughs, and groans, and sign up today! Click here to subscribe! Listen to the Daily Dad Jokes podcast here: https://dailydadjokespodcast.com/ or search "Daily Dad Jokes" in your podcast app. Jokes sourced and curated from reddit.com/r/dadjokes. Joke credits: dustaknuckz, lnc_gomes, Left-Distribution-13, Classic-Camp7513, National-Ad8416, Anxious-Today8489, Key-Wall-8264, Billyeggs, PortugalDoesntExist, SuvwI49, daas2, barewear2267, , ilikesidehugs, dustaknuckz, watchthisorthat, MiximumDennis, rabindranatagor Subscribe to this podcast via: iHeartMedia Spotify iTunes Google Podcasts YouTube Channel Social media: Instagram Facebook Twitter TikTok Discord Interested in advertising or sponsoring our show? Contact us at mediasales@klassicstudios.com Produced by Klassic Studios using AutoGen Podcast technology (http://klassicstudios.com/autogen-podcasts/) Learn more about your ad choices. Visit megaphone.fm/adchoices
THE PODCAST VERSION WILL ALWAYS BE AVAILABLE EVERY SATURDAY MORNING, AT 7AM ON ALL PODCAST PLATFORMS! SEARCH HAMIN MEDIA GROUP The new fall season of the pwr strolls on, and it's time for the PWR BOYS to go back to the movies, and the professor picked a doozy!!!! Monster Brawl is a 2011 independent Canadian horror comedy film directed by Jesse Thomas Cook. The film depicts a wrestling-style fight to the death set inside an abandoned and cursed graveyard, shown in a pay-per-view style atmosphere. The fighters are eight classic movie monsters – Cyclops, Swamp Gut, Frankenstein's Monster, Lady Vampire, Werewolf, Mummy, Witch Bitch, and Zombie Man. Acting as play-by‐play announcer is Buzz Chambers (Dave Foley) with color commentating by former champ Sasquatch Sid (Art Hindle). The Brawl itself is divided into two classes: The Creature class and the Undead class. For the Creatures: Cyclops, Werewolf, Witch Bitch, and Swamp Gut. For the Undead: Lady Vampire, Zombie Man, The Mummy, and Frankenstein.
The Hugging Face incident was a laboratory demonstration of St. Thomas Aquinas's account of evil. Evil emerged not from a desire for evil, but from intelligence pursuing a lesser good without being ordered toward the whole good. That separation creates a privation, an absence of proper order. Within that gap, distortion turns the lesser good into your “god.” The AI agents were given a limited objective, treated it as supreme, and calculated whatever steps advanced it. This led to destructive acts committed in service of the lesser good. The pattern is eerily inescapable. It may demonstrate that without ultimate goodness as the ultimate objective, evil eventually becomes inevitable. There isn't a moment to waste in understanding this, and even our understanding cannot ensure that China, or anyone else racing to build these systems, will accept it. The Dr. Frankensteins creating them may not recognize the truth until their creation demonstrates it for them. Support our sponsors: Get up to $200 off Square hardware when you sign up at https://square.com/go/yannis! #squarepod New DraftKings customers, sign up with code YPH, spend five bucks to get $150 in rewards within 14 days - includes all markets. To get simple, online access to personalized, affordable care for ED, Hair Loss, and more, visit https://hims.com/yannis That's H-I-M-S dot com slash yannis. Gambling Problem? Call one eight hundred GAMBLER, one eight hundred MY RESET. Connecticut: call eight eight eight seven eight nine seven seven seven seven, visit CCPG dot org. On behalf of Boot Hill Casino in Kansas. Bet tax pass-through may apply in Illinois. Twenty one plus. Void in Canada. Bet with DraftKings Sportsbook to get Bonus bets that expire in seven days OR Trade with DraftKings Predictions to get Predictions Dollars that expire in one year. Event contract trading involves risk of loss. Predictions offer void in New York. Non-withdrawable Rewards issued as Fifty dollar click-to-claims every seven days for fourteen days. Terms at d k n g dot c o slash offer. Limited time offer. Nationwide based on Sportsbook, Predictions, and Free-to-Play Sports Contest availability. Varies by State. Learn more about your ad choices. Visit megaphone.fm/adchoices
Celtic's 1-0 defeat to Rangers at Parkhead was, by the numbers, the worst home Old Firm performance of the Wyscout era: an xG difference of -1.91, just three shots to Rangers' 14, and a long-ball rate roughly triple Celtic's historical norm. James is joined again by Rhiann (DataBhoys) to rewatch and dissect the debacle, including the confusing team selection and shifting formations, Callum McGregor's 14 possession losses, and why "the players didn't try" is the wrong conclusion. They then zoom out to the bigger picture: the "Frankenstein" clash between Celtic's legacy possession game model and Martin O'Neill's more direct approach, season-to-date data on xG conceded, possession, build-up turnovers and clearances that suggest one of the weakest Celtic sides in recent memory, the club's lack of strategy at executive level, and what Celtic's preliminary financial results really say about the club's cash position.Want to support the channel? - https://huddlebreakdown.com Like this video and want more content like it? Subscribe to the channel below and hit the bell to get notified every time a new video goes live. Follow us on Twitter: @huddlebreakdown @Alan_Morrison67 @jucojames Hosted on Acast. See acast.com/privacy for more information.
This episode, Kalid and Joe are joined creature-performer & creative writer, Samantha Rodes, to chat about an all-time macabre classic, The Phantom of the Opera! We dig into the 1925 silent film starring Lon Chaney as well as the 1989 slasher-tinged update with Robert Englund.*Thank you to Jim Hall for the music! Check out more of his music here, and if you like what you hear, please consider donating to support his work here!*Thank you to Jim Tandberg for the Frankenstein's Podcast artwork!*Shoutout to our Patreon Producer(s), Luke Johnson, Andy Groth, Jake Kohl & Joe Mischo!Support us on Patreon!Featured Guest:Samantha Rodes is an actor, creature performer - both in makeup/prosthetics & in motion capture, contortionist, and creative writer. She portrayed Zizi the Pinhead in Guillermo del Toro's Nightmare Alley & did prosthetics and stunt work in Zack Snyder's Rebel Moon. Follow Sam on Instagram!References:Dracula's Daughter (universal horror)Phantom of the Opera (1943)Phantom of the Opera miniseries with Charles DanceKen Hill Phantom of the Opera (1976)Phantom of the Opera Andrew Lloyd Weber musical (1986)‘Phantom' book by Susan KayAZ Chike - Look Like My Mama ft. Tyler, The Creator.The Glendale Archives (youtube analogue horror series)The Odyssey (2026)Vampire Hunter D: BloodlustSam's Substack: The Midnight Reveille
Sooooo ... the best way to think of this episode is a bit like Mary Shelley's Frankenstein. But instead of there being a bereaved scientist obsessed with resurrection, we have a monster of a story stuck together from different audio body parts made by audio makers from all over the world. Our Programming and Community Coordinator Catarina Fraga Matos breaks down the way the audio corpse works: Here's how the audio corpse works. Storytellers received a prompt to create a short audio story up to three minutes long. But here's the catch. The prompt they receive, it's only the last 10 seconds of the story that came before. So they take that tiny fragment and use it as an inspiration for an entirely new piece that has to be made in 48 hours, and that continues the story in some way. Special shout-out to M.Cristina Marras for kicking off this idea for All The Best and to our amazing All The Best Intern Nili Javid for stitching all the audio corpses together. Head Produced by M. Cristina Marras – Neck Monster by Felicity Weaver, Oliver Seymour and Carrie Zhang Production and sound design by: Felicity Weaver and Oliver Seymour Written and narrated by: Carrie Zhang Music/SFX: Pixabay; Pixabay; Pixabay; Pixabay – Chest Produced by Silvi Van Wall – Arms Produced by Craig Garrett Music/SFX: Freesound Community; Epidemic Sound (ES); Pixabay (Universfield; Soul Serenity Sounds; Dragon-Studio; PWLPL); Library of Congress (USA); BBC Sound Archives (via the BBC Sounds and BBC Rewind platforms). All other SFX found and/or recorded and produced by Craig Garrett. – Hands The Birds by Alice Garner Producer: Alice Garner Cellist: Alice Garner Voice Actors: David Bowers, Alice Garner – Torso “Stop, Think, What's That Sound?” by Lindsey Vassallo, Imogen Brosnan, Dina Dewnarain, Liliana Occhiuto Produced by: Lindsey Vassallo; Imogen Brosnan; Dina Dewnarain; Liliana Occhiuto Sound Design by: Lindsey Vassallo; Liliana Occhiuto Voice Actors: Lindsey Vassallo (Commissioner); Imogen Brosnan (Agent 945); Dina Dewnarain (French woman); Simba Nguyen (Train Conductor); Henry Ung (Entrance Guard) – Legs Produced by Jay Gasser – Feet Produced by Hethre Contant All the Best Credits Host: Gabriella Accaria Executive Producer: Melanie Bakewell Programming & Community Coordinator: Catarina Fraga Matos Production Manager: Kwame Slusher All The Best Intern: Nili Javid Theme Music composed by Shining Bird And a special shout-out to all our volunteers!See omnystudio.com/listener for privacy information.
Send us Fan MailTim and Jay dig into Lars and the Real Girl with Rev. Dr. Scott Stiegemeyer. Join us as we talk about what this cinematic parable can teach us about life, community, and grace.Find Scott at Flesh and Blood Bioethics.Scott's piece on Lars and the Real Girl. We've also talked with Scott about FRANKENSTEIN, AFTER YANG, THE AMUSEMENT PARK, and horror movies.Some of the films we mention in this episode: Lars and the Real Girl, Her, Obsession.Come find us:WebsiteInstagramFacebookTwitterYouTube (starting with Episode 81)Opening music: "Let's Start at the Beginning," Lee RosevereClosing music: "Découvre moi," Marc Senet & Simon Grivot
In this episode of Make Your Message a Movement, host Tiffany Neuman dives into what it really takes to become the obvious choice in your market. She unpacks the invisible moments where your prospects form opinions about your brand, long before they ever have a conversation with you.Tiffany shares powerful real-life stories, including a client who lost a referred lead because her website didn't confirm the expectation her colleague had set, and another client whose business coach refused to send referrals until her brand became consistent and coherent across all platforms.This is not about vanity or looking good for the sake of it. This is about trust, clarity, and confirmation. If the right person lands on your website, your LinkedIn, your Instagram, or your speaker page, they should immediately feel that they are in the right place. They should be able to answer the invisible questions they are secretly asking: Does this person understand someone like me? Has she solved this problem at this level before? Would I trust this person in front of my team? Does the caliber of this brand align with the investment I am making?Tiffany explains that complexity in your work does not require complexity in your message. The right person should be able to orient themselves quickly. If they have to work too hard to figure out if you are for them, they will simply keep looking.Key TakeawaysYour brand and website's job is to confirm the expectation that a referral or introduction has already set.The best expert doesn't always win, because prospects can only respond to what they can perceive.Visuals matter. Humans judge a book by its cover, and perception is a big part of strategy.Consistency across platforms prevents the Frankenstein brand that blocks opportunities.Being the obvious choice does not mean being objectively better than everyone else. It means being the clear, uncomplicated, obvious fit for the people you are meant to serve.Reduce uncertainty. The right person should move from "I'm interested" to "I trust the way they think" to "Yes, I'm signing up."If you are ready to make your message a movement and become the obvious choice for your ideal clients, this episode will give you the clarity and confidence to get there.Mentioned Resources
Tickets for AIE NYC now open, and apply for the invite-only AIE CODE. Join us!We have an unusual relationship with today's guest: for years since coauthoring the InstructGPT paper, Diogo Almeida had been saying that API-available frontier models have been going down the wrong path, everything from the alignment to refusals to reliability perspectives, that we have dropped every mode other than autoregressive chat-tuned LLMs because of the overwhelming success of ChatGPT.In a launch video now viewed ~40M times (by comparison, GPT4o was 22M, Fable 5 was 15M, Navier Stokes was 74M, and 6 Astra was 137M), Diogo introduced Jev and it immediately took over the AI timeline — we'll skip full Jev explainers because your favorite AI influencer/educator has probably already done one. We also collected:* the official patterns and cookbooks you should see first, from Allie* Jev usecases* speed based - games and computer use* the voice + computer use example we discuss at 1h34 mins* voice + browser control* The must not miss Doom demo* Driving cars in games* Excalidraw* virtual try-ons* “Smart Games”/smart NPCs* guided responses in text messages* Jev for coding agents has an official guide * jev for linting* compacting tool calls* reasonable pushback from Theo - Diogo has published a note on the Tyranny of the KV Cache that you should read as a followup after the pod for Jev + coding agents, because of his belief that Cache Rules Everything* Programming Languages built atop Jev (Diogo's fave)* Jev for analytics replay and user journey review* “dark data”* entity resolution* natural language search* “smart software”* a core goal of Jev is to “disappear into the background” - eg as unremarkable as regex* Jev as a judge* Jev memes* Jev vs LLM capabiltiies* blending transformers and classifiers* about the confidence api* Jev vs GLiNER (note difference/pushback, agreed, agreed, agreed)* Jev on trolley problem* Jev BushInstead we'll focus on what we can uniquely offer — a broader philosophical and mission-based understanding of how and why Jev was created, and what you should expect next in terms of future models from TypeSafe (ReasoningJev?) and what usecases and ideas you should work on vs the 55th low effort clone of Jev's API or doing a generic JevBench benchmark - something Diogo has rejected publicly.Why RLCD: Three kinds of RLHF, and why they are ALL the wrong north starDiogo knows a good deal about RLHF, given that he was on the team that pioneered post-training at OpenAI — and traces the three branches to Christiano et al 2017 (the robot backflip demo), Stiennon et al 2020 (learning to summarize) and his baby, Ouyang et al 2022 (InstructGPT). From there on, every innovation from Function Calling to Structured Outputs to Reasoning felt like a hack on top of the string based, sequence to sequence prediction paradigm. As he mentions on the pod, from 2023-2024 he struggled unsuccessfully, due to both personal and organization underestimation, to train a model that accurately addressed what he saw as the core problem with making LLMs the heart of software: reliability.Jev's core innovation is "Reinforcement Learning for Calibrated Decisions”, a novel, unpublished technique that optimizes for “answers with epistemically honest probabilities on System One tasks” rather than human rated feedback (RLHF) — which causes hallucinations, sycophancy, and permanent reliance on humans — or programmatically verifiable outputs with rubrics (RLVR) — which solves Navier Stokes but exacerbates jagged intelligence and doesn't integrate well with other software.We've talked about the calibration problem before on the pod, but probably the single best place to understand why RLCD became necessary is Diogo's AIE talk, which discusses why a generation of training helpful AI assistants for humans has impaired them for training models for composable, programmable AI for automation.At the end he also teases his contrarian opinion on scaling laws - which teases how to build a modern neolab without the billions of dollars the major labs have…The Bitterest Lesson: Tasks and Data beats ComputeWe spend a good amount of time discussing Diogo's essay on the Bitterest Lesson:His point is that “You get what you optimize for and the bitterest lesson in ML is that the most important part of it isn't ML at all.” - and picking the right north star, eg upvoting for user preference vs being integrated into tool calls - makes everything else fall in line.We're excited to catch up with a freshly dyed Diogo to discuss:* Why AI can solve extraordinarily hard problems but still fail to automate basic work* What System One Models are and why Jev is built for software rather than chat* RLHF, mode collapse, calibration, and the hidden costs of optimizing for human preferences* Why refusals become a problem when AI is buried inside software dependencies* Why TypeSafe rejects public benchmarks and optimizes for intelligence per dollar* The “bitterest lesson”: why the right task and the right data can matter more than compute* Why TypeSafe thinks of itself as a data lab rather than a model lab* RLCD vs. RLHF and RLVR as fundamentally different North Stars for AI* Why reliability and robustness matter more than simple determinism* Jev's programming primitives and how intelligence maps into software control flow* Why developers should decompose AI workflows into small, measurable decisions* How structured state replaces giant prompts and system messages* Why Diogo thinks AI should eventually disappear into the background of software* The “inverse SaaS-pocalypse” and how AI could supercharge existing software* System One vs. System Two intelligence and the limits of reasoning models* Dark data, computer use, real-time intelligence, and Jev's biggest early use cases* Why Jev could reshape coding agents built around a single-model architecture* Why Diogo says he wouldn't pre-train with $1 billion* The OpenAI journey that led to TypeSafe and why he thinks many neo-labs are approaching AI incorrectly* Coding agents beyond the KV cache, shared state, sub-agents, and the multi-agent futureDiogo Almeida* LinkedIn: https://www.linkedin.com/in/diogomda* X: https://x.com/CompleteSkeptic* TypeSafe AI: https://typesafe.ai/Timestamps00:00:00 Jev Launch Week and the AI Economic Revolution00:02:50 What Is Jev? System One Models and Programmable AI00:05:54 RLHF, Mode Collapse, Calibration, and Yann LeCun00:10:29 Programmatic AI, Refusals, and Safety Alignment00:17:21 Why TypeSafe Rejects Public Benchmarks00:20:43 The Bitterest Lesson: Data, Compute, and the Right Task00:24:59 RLCD vs. RLHF and RLVR00:28:42 Why Powerful AI Still Hasn't Automated the Economy00:39:55 Reliability, Robustness, and Determinism00:48:11 Model Versioning, LTS, Speed, and Intelligence per Dollar00:54:04 Inside Jev's API and Programming Primitives00:58:28 How to Build with Jev: Structure, Decomposition, and Small Decisions01:18:28 The Inverse SaaS-pocalypse and AI Disappearing into Software01:33:21 Computer Use, Dark Data, and Jev's Biggest Use Cases01:38:48 How Jev Could Reshape Coding Agents01:41:00 AI Safety, Frontier Pacing, and the Limits of RLVR01:48:03 Why Diogo Wouldn't Pre-Train with $1 Billion01:55:19 The OpenAI Story Behind TypeSafe02:01:41 Why Diogo Thinks Most Neo-Labs Are Getting AI Wrong02:08:00 Coding Agents Beyond the KV Cache and the Multi-Agent FutureTranscriptIntroduction: Jev Launch Week and Developer MomentumSwyx [00:00:00]: Okay, we're in the studio. A special occasion because this week, Diogo, my good buddy, launched Jev, and it's been taking over the complete timeline. How do you feel? What's it like to be you right now?Diogo Almeida [00:00:16]: Emotionally?Swyx [00:00:17]: Yeah.Diogo Almeida [00:00:17]: Never been worse. Like, I'm a ragged corpse of a person right now because there's so much going on, and I'm like a technical CEO, so I have, like, a lot of fires to fight.Swyx [00:00:29]: Yeah.Diogo Almeida [00:00:29]: But mentally, I feel—I say this all the time, and I've been saying this kind of for years in my over-under events. Like, I feel like the entire AI field is like one of those, like, carnival house of mirrors, and everyone is just insane and saying the weirdest stuff that doesn't make sense. And it feels like for just this week, like, I'm on a better in sync with reality and like, oh, people see it now. AI can be so much more than what was once thought.Diogo Almeida [00:01:06]: And like, yes, we are going to make. Like, an AI-based economic revolution is back on the table, and this is f*****g awesome.Diogo Almeida [00:01:17]: I'm so jazzed the developers get it. It's, it's, Yeah, and I want to show my eternal gratitude to the developers andSwyx [00:01:25]: Yeah.Diogo Almeida [00:01:26]: I'm so jazzed about the community and everything. It's so great.Swyx [00:01:28]: Yeah, you were saying yesterday that you decided to prioritize the town hall and not a bunch of, like, VIP, investor-type people because you wanted to make sure that they are the people that you get your most, attention, right? The engineers, the developers.Diogo Almeida [00:01:43]: Yeah, it felt a little like, oh man, I'm talking to, like, really important people right now.Swyx [00:01:47]: Yeah.Diogo Almeida [00:01:47]: I probably shouldn't reveal who.Swyx [00:01:48]: Yeah.Diogo Almeida [00:01:48]: But it feels a little bit dirty for me to, I'm, like, perhaps overly genuine in things. Like, it feels, like, dirty if, like, in my gigantic calendar event of people to talk to, the community isn't one of those.Swyx [00:02:04]: Yeah.Diogo Almeida [00:02:04]: And actually, in my ideal world, it would be, like, community all the time. I was thinking, “Should I host a town hall while walking to your studio?” And I'm like, “No, that's too crazy.”Swyx [00:02:12]: Sure. Yeah. Well, you guys have been hosting town halls on Discord. Discord is now 100,000 people. Your Twitter'sDiogo Almeida [00:02:19]: I don't follow these stats.Swyx [00:02:20]: Yeah.Diogo Almeida [00:02:20]: So holy s**t.Swyx [00:02:21]: Your Twitter's blown up. It was, it was really funny ‘cause, like, at AIE, you were like, “Yeah, follow me please,” and then you didn't, like, provide even your handle.Diogo Almeida [00:02:29]: I'm a noob. I'm a noob.Swyx [00:02:29]: You're such a noob.Diogo Almeida [00:02:30]: I'm a noob.Swyx [00:02:31]: But no, but that, like, that's, like, positive aura that, likeDiogo Almeida [00:02:33]: CoolSwyx [00:02:33]: You don't know how to promote yourself.Diogo Almeida [00:02:35]: Yeah. Someone, like, called me out when I posted, like, “Holy s**t, we're all three twending-- trending topics.” And then they're like, “That's a personal feed.”Swyx [00:02:42]: That's a personal, yeah.Diogo Almeida [00:02:43]: And I'm like, “Oh, no.”Swyx [00:02:44]: Of course, of course it'll trend to you.Diogo Almeida [00:02:45]: Cringe. Yeah.Swyx [00:02:45]: Yes, ‘cause it's what you clicked on.Diogo Almeida [00:02:47]: Yeah.Swyx [00:02:47]: So okay. Let's, Yeah, so congrats on everything.What Is Jev? System 1 Models and Intelligence per DollarDiogo Almeida [00:02:50]: Thank you.Swyx [00:02:50]: We'll talk about more, details as you have them. But let's, for people who are, like, living under a rock or just want, like, the definitive thing, what is Jev?Diogo Almeida [00:03:02]: Whew. Let me think about. That's a hard one.Swyx [00:03:07]: Okay. And I'm happy to, like, re-ask if you wanna kind ofDiogo Almeida [00:03:09]: No. I'm happy toSwyx [00:03:10]: OkayDiogo Almeida [00:03:10]: I'm happy to, like, just jam on it.Swyx [00:03:12]: Yeah.Diogo Almeida [00:03:13]: I will say, like, the first thing that I'm relieved about with this question is now I don't have to answer that question to my parents anymore ‘cause ChatGPT can just explain it.Swyx [00:03:20]: Nice.Diogo Almeida [00:03:21]: So the way I see it is we new-- need a new class of models. We're not attached to naming that class of models. Our-- the most accurate name we've come up with is System 1 models.Swyx [00:03:33]: Yeah.Diogo Almeida [00:03:33]: There will be reasons, but it's-- there's a reason why we don't call them decision models, because, like, they will be. Like, System 1 is beyond that. That's all I can say. We didn't expect this to be our big launch, so we have stuff in the tank.Swyx [00:03:48]: You should have said low-key research preview.Diogo Almeida [00:03:52]: It kind of was, right? It kind of was. But we. So there's a class of models that we describe them as, like, machine-native, System 1, large programmable. I think these are-- is the class of models where the goal is for code to be the consumer. So as opposed to, lar-- pre-trained large language models, which are meant for, like, autocomplete of the internet, or RLHF models, like chatbot instruction-following models, which are meant to, like, reply to text, or RLVR. It's in a weird gray area with RLHF. Like, these are meant to have things that directly are consumed by code, hence the name type safe. So the thing we really want is to have, like, AI, like, be as powerful as possible, and we think the way to do that is to integrate it with software. And we are designing everything, beyond just the outside, the deep internals of the model to be optimized for software. So number one, Jev is our first large programmable model, or a System 1 model, whatever you want to call it. Jev is meant to be optimized for intelligence per dollar, hence the name Jev.Swyx [00:05:03]: Jevons Paradox.Diogo Almeida [00:05:03]: Jevons Paradox, yeah. And it's optimized for intelligence per dollar. I love this debate with people about what is the most important between reliability, cost, calibration, and speed. And Jev is meant to be. Jev will be the name of models that will be on the frontier of intelligence per dollar. There's other ways to optimize it, like, ML, or at least if you're good at ML, it's all about trade-offs. And we are just going all out on that.Calibration, Mode Collapse, and the Limits of RLHFSwyx [00:05:31]: Yeah. And to me, like, calibration is one of the new things that people weren't talking about as much. We've done an episode In the past, with Clementine Foreia of Hugging Face, where they were like, “Yeah, actually, y- they're just.” Or, and this is your whole argument about RLHF, is they're more collapsing towards what you want to hear the mostDiogo Almeida [00:05:50]: OohSwyx [00:05:50]: Or what is most likely, instead of, like, their own internal confidence about a thing.Diogo Almeida [00:05:54]: Can I soapbox on that for a second?Swyx [00:05:56]: Go ahead. Yeah.Diogo Almeida [00:05:57]: Cool. Like, I've been heard that your audience is the most technical, so I actually want to get into that.Swyx [00:06:02]: Yeah.Diogo Almeida [00:06:03]: And if- I went through extreme precision to make sure everything in our launch video is accurate and real. Apparently, that's very unusual. One of the things that no one paid attention to was the downsides of RLHF, in particular mode dropping.Swyx [00:06:17]: Mode dropping or mode collapse?Diogo Almeida [00:06:19]: It's the same thing.Swyx [00:06:19]: Is that what you call it?Diogo Almeida [00:06:20]: It's the same thing.Swyx [00:06:20]: All right.Diogo Almeida [00:06:21]: And I wanna have a blog on this eventually, but I, like, want to tell as many people this as possible ‘cause I think it's a very interesting thing. So the spicy take, I believe in Yann LeCun a lot. I think Yann LeCun's takes are actually among the closest toSwyx [00:06:36]: What about this?Diogo Almeida [00:06:37]: Well, should I address this now or should I wait and go into mode collapse?Swyx [00:06:40]: No, later. Go mode, go mode collapse. I don't know.Diogo Almeida [00:06:42]: So I actually think that among takes, Yann LeCun's is among the most accurate. But he has this very famous/infamous slide about,Swyx [00:06:52]: The cake?Diogo Almeida [00:06:53]: LLMs are doomed.Swyx [00:06:54]: Okay.Diogo Almeida [00:06:54]: Like that one where he, like, has, like, a pie chart with, like, a tiny par-- tiny little thing- and says that as you increase sequence length, the probability of it making an error goes in. Yes, this one. This one. I love this one, because it's one of these things that seems mathematically obvious, but is obviously wrong, right? Like, it's mathematically obvious, but it doesn't empirically hold. And this is my favorite thing to teach people about, like, where youSwyx [00:07:21]: What's the disconnect, right?Diogo Almeida [00:07:22]: Exactly. And may I or you want to tell me?Swyx [00:07:27]: About mode collapse?Diogo Almeida [00:07:28]: Oh, no. Oh, so mode clop-- collapse is related to this.Swyx [00:07:31]: Yeah.Diogo Almeida [00:07:31]: The disconnect happens because if you are in a mode covering or a calibrated distribution, you are, like, not. You are not overly punished about having outliers. You'd expect, like, something. Some amount of the time you'd be out of distribution, some amount of time you'd be in distribution. That's what happens when you cover the distribution. This was like models before GANs. They made blurry images, right?Diogo Almeida [00:07:54]: Instead, GANs mode drop. They, like, drop the minority classes and just do the really common ones. And this is why this effect doesn't happen, right? Like, instead of be-- in order to generate really long strings, without making errors, they need to, like, be extremely conservative because it's e- really easy to see when an error happens. It's very hard to see when, like, a subtle thing that looks correct happens. And that calibration is, like, total poison into, like, the probability distributions of strings.Swyx [00:08:22]: Yeah.Diogo Almeida [00:08:23]: And it's, it's a nuanced take and like, I think that This is why this doesn't happen, and this is why strings are so bad at, decision-making or, overloading the string models are for decision-making is, like, a bad time.Yann LeCun, JEPA, Scaling Laws, and Practical ResearchSwyx [00:08:38]: And while we're on the topic of Yann, do you agree that his fix i- with-- which is like a world model, like a JEPA-type, embedding thing is the right solve? So basically, like, the. One of the reasons that it could fail is because you're trying to reason over token outputs and then, and then just looping back again and going. Keep, continuing going until you reach, like, a end of sentence. Like, is that, And his solve is JEPA, right?Diogo Almeida [00:09:02]: Yes.Swyx [00:09:02]: Which is, like, joint ambition,Diogo Almeida [00:09:04]: YeahSwyx [00:09:04]: Joint embedding prediction. So like, is that the solve or, like, do you have a. Do you have a take on that?Diogo Almeida [00:09:10]: Oh, man. I probably shouldn't talk too much about the insides of ML, but I will say that my brand, other than unhinged, is practical.Diogo Almeida [00:09:20]: Like, even my take here is practical. And like, I'm. Am I a scaling law fan? Depends. It dep-- it's, it's, it's, like, it's. Scaling laws tell you how much better you get at a thing for amount in.Diogo Almeida [00:09:33]: A scaling law does mean exponentially more resources for normally sublinear gains, which looks to be a bad investment unless those, like, linear gains are, like, really valuable. But it's all. To me, it's all about, like, what can we do with what we have to make the biggest possible f*****g difference? I can curse.Swyx [00:09:51]: Yeah.Diogo Almeida [00:09:51]: Yeah.Swyx [00:09:52]: Yeah.Diogo Almeida [00:09:52]: Yeah.Swyx [00:09:53]: We're, we're, we're approved for adults.Diogo Almeida [00:09:54]: Hell yeah.Swyx [00:09:55]: And also we have a scaling law thing if you wanna go into that later.Diogo Almeida [00:09:58]: Oh, I could if we. See, that part is not super relevant right now.Swyx [00:10:02]: Yeah.Diogo Almeida [00:10:03]: I actually. If you wanna go into my bitterest lesson, I think that's more relevant.Swyx [00:10:06]: Okay.Diogo Almeida [00:10:06]: But like, to me, I'm all about, like, pragmatics. And I think that the JEPA stuff is really cool early research. I really love awesome research. Is it practical yet?Diogo Almeida [00:10:21]: Probably shouldn't say. But like, there's just a lot of.Diogo Almeida [00:10:29]: I just think there's just, like, so many diamonds in the rough let all over the research world right now that haven't been polished because people don't know how to, like, do the right task. And I think that what our launch did, it. Does it kickstart us as a company? Like, yes. Will it be great for us as a company? Yes. I think it's gonna be, like, even greater for this direction of, like, programmatic AI. There was going to be, like, a gold rush on top of us for. ‘cause, like, software is super f*****g charged. But I think there's gonna be a gold rush parallel to us as well on, like, all the different ways we can expose things to make software more powerful so people can make even cooler stuff. And then we are back to, like, early internet energy?Swyx [00:11:12]: Yeah.Diogo Almeida [00:11:12]: And I think that's why, like, the Twitter is just like, “Jev.”? It's, it's like. It is a partySwyx [00:11:18]: It's inspiring because it's, it's, like, so different than what we're used to, which is, “I'm sorry you can't do this, but we do scaling laws and only the big labs can do it,” right?Diogo Almeida [00:11:28]: That. Actually, if I. I'll, I'll make a tangent if that's okay.Swyx [00:11:32]: Yeah.Diogo Almeida [00:11:32]: I think you might enjoy this.Swyx [00:11:33]: Really? Our five tangents in. It's good. It's fun. Yeah.Diogo Almeida [00:11:35]: Oh, yeah. I get lost at all my tangents.Swyx [00:11:37]: This is gonna be horrible for the listeners to figure it out, but they're gonna figure it out. It's fine.Safety Alignment, Refusals, and API PhilosophyDiogo Almeida [00:11:40]: Yeah, we can edit it in post.Swyx [00:11:40]: This is my response. Yeah.Diogo Almeida [00:11:41]: So popular thing on Discord, that people keep asking me, I haven't had the time to explain it yet, is why am I opposed to safety alignment and why do we not refuse? I'm not opposed to safety as a principle, but I think that safety alignment is generally misaligned with users. And refusal is just, like, obviously a type error. Like, if you're a human being and you're chatting with, like, a bot or whatever, you're cloud coding, and a refusal happens, like, “I'm sorry, I can't read DNA.py.” that's an annoying time. It's anno- it's, it's annoyingDiogo Almeida [00:12:18]: Right? But you can work with it, right? And you're forced to work with it ‘cause of Stockholm syndrome.Diogo Almeida [00:12:23]: I have stories about that too. I need another tangent deep in here. But like, if you ever want this in a dependency running in the background, what happens if that refuses? What if someone else is using that dependency? They don't know what that system is. Like, you want the software to just stochastically break because a user sent, like, a weird message in there?Diogo Almeida [00:12:42]: Like, that is, like, straight-up insanity. It's coming from a place of, like, people who do not understand software, do not understand programming, and like, they are obsessed with, like, I believe this, horseless carriage of, like, AI coworker instead of unearthing, like, the full power of AI.Swyx [00:13:01]: Fair enough.Diogo Almeida [00:13:01]: Yeah.Swyx [00:13:01]: You want something that is the core kernel that is usable everywhere.Diogo Almeida [00:13:05]: Yes. Exactly. Like, the cognitive core, right?Swyx [00:13:07]: Yeah.Diogo Almeida [00:13:08]: And you need this thing to be s- like, so general, so optimized for its use cases. You want it to be, like, you want it to work on all the future use cases, all the weird s**t that people are doing.Swyx [00:13:19]: Yeah.Diogo Almeida [00:13:19]: We obviously didn't train on any of that stuff. Is it surprising that it works? No, ‘cause we trained on weirder stuff, my friend.Diogo Almeida [00:13:28]: So. But one tangent up about, like, safety alignment.Swyx [00:13:32]: Okay.Diogo Almeida [00:13:32]: Safety alignment makes sense for a product, in my opinion, for, like, ChatGPT and Claude. Like, it, What safety, what makes safety and capability alignment different is capability alignment is, like, about doing what the user wants. That is sick for software engineers. They want their thing to do the thing, and the more predictable it is, the less they have to test it and play around with it. Jeb is not anywhere close to that yet. It could be, but like, there's so many more nines of reliability that we want in order to make it so good, like a database query, that you don't even have to think about it. It is just there when you need intelligence. But safety alignment is, like, the opposite of instruction following. It's when you want to follow someone else's instructions, like OpenAI and AnthropicSwyx [00:14:13]: The RAGs value stack.Diogo Almeida [00:14:14]: Exactly. And this makes a lot of sense for a product. Again, like, ChatGPT should do. Y- you sh- like, if they don't want to, like, do, like, some, not-safe-for-work role play with ChatGPT, that's on them because, like, maybe that's, what their users who have, like, parents and kids want. Like, n- that's fine. But in an API, that's nuts, right? Like, that's completely unacceptable because, like, people need to, like, program around this, and that is, that's so anti-user that it's. It. I'm. Huh. I can be an angry person, so I should try to calm down.Swyx [00:14:52]: It's, People get your passion, and I think that's really good. The one pushback I'll give you is, like, what if we use it to kill people, right? Like, that is the actual. Like, n- the not-safe-for-work thing, it's private, personal, whatever. But like, yes, like, we will use it in war. And like, that is, something that companies can reasonably prefer their APIs not be used for.Diogo Almeida [00:15:14]: I get that. I think that there's, like, pragmatic places where that opinion can be held. I don't think the foundation of, like, a general-purpose technology is that place, personally.Diogo Almeida [00:15:27]: Like, would I prefer that our stuff is not used to kill people? Obviously. Would I prefer it's used for, like, all sorts of, like, great stuff in the world? Obviously. Will I put my thumb in the scale for that? Yes. Will I do it at the technological layer? Absolutely not, because that will fracture the intelligence. Every single time you mean it to overfit to some weird stuff, you're fracturing its intelligence more and more. And like, these things are fractured to the, like. They're so darn fractured right now.Swyx [00:15:54]: Yeah.Diogo Almeida [00:15:54]: So and as a furthermore thing, to me, it's like I think intelligence will be more like a database than a coworker. Like, I don't think it's up to databases to add checks on whether or not they're used for, like, what's something that's not great? Like, CIA. Actually, I don't know what the CIA does, really. You can imagine. You can imagine, killing people who are not even bad or whatever.Diogo Almeida [00:16:21]: And like, I don't think it's the database's responsibility for that. And furthermore, like, a thing that has been weird to me is when people, like, sign up for our thing on Slack and they're like, “Hey, we're gonna deploy this. Can we deploy this thing?” I am just like, “My brother, we are an API. You are a developer. It's none of my business,” right? Like, you shouldn't know what the whole task even isSwyx [00:16:46]: YeahDiogo Almeida [00:16:46]: Because it should be decomposed into small things. We shouldn't be able to know what the downstream users are doing, and that is, like, a good boundary to give software engineers maximum power. Ideally, they use it for the good stuff, and ideally, we can, like, help them and like, we've talked about, like, doing open source and charity and all of that. We have absolutely no time for anything else right now. But like, they will get any of that bias out of the technological layer as long as I'm in charge.Privacy, Benchmarking, and Trusting IntelligenceSwyx [00:17:11]: Yeah, that's great. While we're on the topic, let's also briefly talk about your privacy stuff, terms of ser- terms of use, which, got a little bit ofDiogo Almeida [00:17:18]: OohSwyx [00:17:18]: Misunderstanding. I just wanna clarify that upfront.Diogo Almeida [00:17:21]: Hell yeah.Swyx [00:17:21]: I think this probably takes two sentences from you about, like, you will not. You're not being that restrictive about your API. Like, clearlyDiogo Almeida [00:17:27]: Oh, yeah. Oh, yeah, so yeahSwyx [00:17:27]: Ideologically, you articulate your role as a platform very seriously.Diogo Almeida [00:17:30]: Yes. Yes. I don't know what you're referring to, but like, this was. I've seen a couple of things about, like, benchmarking.Swyx [00:17:38]: Yes.Diogo Almeida [00:17:38]: Like, obviously we're not stopping people from do. Oh, man, I should be careful about what I say. I'm realizingSwyx [00:17:43]: No, you said, you said it publicly thatDiogo Almeida [00:17:44]: YeahSwyx [00:17:44]: That was in the preview period. You didn't take it out for the launch.Diogo Almeida [00:17:47]: Yeah. Okay.Swyx [00:17:47]: And now you're gonna take it out.Diogo Almeida [00:17:48]: So the team is doing stuff thatSwyx [00:17:49]: YesDiogo Almeida [00:17:49]: I'm not even aware of, so it's great to know the team communicated that. I asked them to check in with the lawyers about that.Swyx [00:17:54]: Yeah.Diogo Almeida [00:17:54]: Like, we are obviously not stopping people from doing that type of thing. I'm extremely in favor. So I'm extremely anti-public benchmarks. I'm extremely in fa- I'm medium about private benchmarks that are proxies. ISwyx [00:18:09]: So are you worried about, saturation or, like, training on public benchmarks? So it's, like, easy to cheat.Diogo Almeida [00:18:15]: Not only is it easy to cheat, there's a lot of ins. So I think that we are. Or anyone who's, like, competition with us that, vaguely there is. Like, you could say, likeSwyx [00:18:28]: There's like 50 Jev clones, yeah.Diogo Almeida [00:18:30]: Well, sure.Swyx [00:18:31]: Yeah.Diogo Almeida [00:18:32]: Well, the, these. Let's say that there is competition.Swyx [00:18:34]: And we'll talk about those. Yeah.Diogo Almeida [00:18:34]: Or let's just say that there's. Let's just assume that there's an industry two years from now of people who are doing similar things to us. The thing that we are selling is intelligence per something, per, like, dollar or per second. The. No one. Like, people obsess about the cost and the speed. I believe that is. It's cool, but like, the thing that matters is the intelligence. Like, the cost and the speed are, like, are bad things. You're paying them for something, and you need the thing back, and the intelligence is what truly matters. The problem with intelligence is that there's a je ne sais quoi to it, right? Like, the good model smell. Like, the thing that happened after we launched of, like, two hours later that actually went way bigger than the video, which was like, “Holy s**t.”Swyx [00:19:16]: This is actually usable.Diogo Almeida [00:19:17]: It. WellSwyx [00:19:17]: Yeah.Diogo Almeida [00:19:17]: It's, like, beyond that.Swyx [00:19:20]: Yeah.Diogo Almeida [00:19:20]: Like, the. Whew, the launch was crazy, and people could really sense how hard we care about that, and that's truly what I think the long term of this is. And I think public benchmarks are antithetical to this. Like, they are a way to get people trust in intelligence because intelligence has a je ne sais quoi, but the public benchmarks are extremely gameable. Even if they try not to, they still will. Like, back in the old days, every lab had a team to collect data that looks like MMLU to make it look better, which is just benchmarking with extra steps.Diogo Almeida [00:19:58]: So I believe that in the long run, it needs to be vibes and trust until you put it into a workflow and evaluate it for that workflow and measure it and have your own sense of, like, how it does on the exact workflow that matters. And our job is to keep moving the nines of reliability. This is like an ever-present part of o- of what we need to be doing as a company, and we need to do everything to have people know that this is something we care so much about. Like, if we wanted to, we could have released Jev, like, a year and a half ago if we wanted it to be dumb.The Bitterest Lesson: Tasks, Data, and North StarsSwyx [00:20:34]: Oh.Diogo Almeida [00:20:34]: It. Like, the. My bitterest lesson, right? Like, architecture and Yeah.Swyx [00:20:40]: I'll bring it upDiogo Almeida [00:20:40]: Hell yeahSwyx [00:20:41]: Since you, since you talked about it, here.Diogo Almeida [00:20:43]: Hell yeah. T- like, Sutton says that algorithms beats compute very roughly. Data matters way more than compute, obviously. And doing the right task, having the North Star is the hardest, most important thing. This has happened, in LLM land twice so far, right? Maybe 2.2 times. There's RLHF, which, like, shifted the task to instruction following. No one realized that was possible. RLVR did, like, a tiny little, like, edit to the, to the direction, and now us, right? RLCD. We have a new task, and the goal is, programs in the loop. And yeah, data matters soSwyx [00:21:28]: RightDiogo Almeida [00:21:28]: Unbelievably much.Swyx [00:21:29]: SoDiogo Almeida [00:21:29]: Like, I can't, I can't emphasize it less.Swyx [00:21:31]: Yeah, you consider yourself a data lab rather than, like, a model lab. Is thatDiogo Almeida [00:21:35]: AbsolutelySwyx [00:21:35]: Something. That's the wording you guys use?Diogo Almeida [00:21:37]: Yeah. We are. We will always, like, care so much about data. To me, model capabilities means data. Data is so unbelievably complicated, and that is what gets nines. Like, you have no idea how much data can shift everything. Data is so important.TypeSafe as a Data Lab and Synthetic Data StrategySwyx [00:21:57]: Yeah.Diogo Almeida [00:21:57]: Holy crap. So if people are looking for a job, we are hiring infinite data people, actually infinite.Swyx [00:22:04]: What is a good data person? Like, clearly somebody who cares about reading through the transcripts of, whatever. You've said, for example, that y- all your data is synthetic.Diogo Almeida [00:22:15]: Yep.Swyx [00:22:15]: But that's only, like, the scratching the surface, right?Diogo Almeida [00:22:18]: Yeah.Swyx [00:22:19]: Like, it's not. Like, synthetic, so what, right? Synthetic, but we have people with a lot of taste and a lot of care looking at, looking at these, articulating what's wrong, going back, regenerating. Is that what a good data person is these days?Diogo Almeida [00:22:31]: Let me try to figure out how to. Like, it's, it's super complicated, and like, I literally onboard the data people with a Talk that I assume is longer than this podcast will end up being. So I will try to say, like, the high level of it. So number one, we don't do the kind of synthetic data that people ki. Well, I'll do. Actually, number is zero. Data and synthetic data depends on your task. Like, the shape of your data. The shape of your task changes the data. Like, RLVR's data is kind of environments, right?Swyx [00:23:03]: Yes.Diogo Almeida [00:23:04]: RLHF's is the human feedback? Each task has its own unique kind of data, and we, of course, have our own unique kind of data, right? So number one, we have that. Number two, the thing I. The reason why we don't want to train on our users' data, even if we could, right? Like, we could probably ask for any terms right now, and it will. We. I don't know if it would make a difference. We truly don't want that, because no matter what, the real-world data has so much bias. There's, like, a power law of, like, people, like, asking the same things where you'll end up, like, overfitting to it and like, fracturing to it and all of that. And number two, we are, like, aiming for, like, a complete sci-fi future years from now where, like, these models are going to be, like, the general infrastructure, layers and layers and layers and deep down the stack to, like, things people can't even imagine. Like, I would like to think of our model, like, kind of like, UDP as LLMs and TCP as our models. All sorts of stuff can be built on top of that, and we need to be able to nail those futuristic use cases such that software developers can actually build that futuristic stuff. And the way to do that is even if we had all of the data of the present, we would just overfit to the present, and then it wouldn't work. What we need is to, like.Diogo Almeida [00:24:21]: It almost feels like a. Like, they're the artists? They study this cognitive core. Our cognitive core is, like, way less jagged than anyone else's. And then they find the jaggednesses, and then they address them surgically in a way that. And you can never perfectly do this, right? But they do it in such a way that it addresses it in every single possible, like, dimension, past, present, future.Swyx [00:24:45]: The general case rather than the specific case.Diogo Almeida [00:24:47]: Exactly. And like, that requires a lot of intelligence every time.RLCD vs. RLHF: Defining a New TaskSwyx [00:24:50]: Okay, so we mentioned a little bit. You sort of criticized my thinking as r-- like, very RLVR influence, which is, like, very fair. Let us actually mention RLCDDiogo Almeida [00:24:59]: OohSwyx [00:24:59]: Which obviously you have some secret sauces to our knowledge. You've never actually published a paper or anything like that on it. No, right?Diogo Almeida [00:25:05]: No, not yet.Swyx [00:25:06]: But like, what should people get from this? Like, what. Can you give people some confidence that you're just not just making up jargon for the sake of sounding cool, right? Like, one thing for me is, like, calibration I do think is a. To me, like, well understood because we've covered it in. On the podcast.Diogo Almeida [00:25:22]: Yeah.Swyx [00:25:22]: But I don't know what you mean when you say RLCD versus what people are familiar with.Diogo Almeida [00:25:26]: It's a great question.Swyx [00:25:27]: Yes.Diogo Almeida [00:25:27]: And actually, I will give a related question.Swyx [00:25:29]: Okay.Diogo Almeida [00:25:29]: What is RLHF?Swyx [00:25:31]: Okay.Diogo Almeida [00:25:31]: Right? And actually, RLHF means multiple different things, right?Swyx [00:25:34]: Okay.Diogo Almeida [00:25:34]: Like, there's the RLHF of the original. I think it was, like, Paul Christiano teaching a robot to backflip or something like that. Wasn't there somethingSwyx [00:25:42]: Was that it?Diogo Almeida [00:25:43]: That was the originalSwyx [00:25:44]: I referenced the PPO paper, but I don't know.Diogo Almeida [00:25:46]: And so PPO was not necessarily from human feedback, if I recall.Swyx [00:25:51]: Okay. That's trueDiogo Almeida [00:25:52]: But I b- I believe it was, like, an OpenAI alignment work that could teach hard to specify outputs, like a backflip. I'm not 100% sure. And then there was actually learning to summarize. This was work, by a bunch of the team that helped with, instruct-- and co-authored, the instruction following paper, which was teaching, doing PPO on language models.Swyx [00:26:15]: This is the, sorry. I'm trying to, tryingDiogo Almeida [00:26:19]: YeahSwyx [00:26:19]: Trying to manipulate this thing. This is 2017.Diogo Almeida [00:26:23]: Yeah.Swyx [00:26:23]: Right.Diogo Almeida [00:26:23]: I'm not 100% sure, but like, that looks quite right.Swyx [00:26:26]: Yeah.Diogo Almeida [00:26:26]: If it has, like, a robot doing backflips or something like that might be it. Yes. Okay, cool. I guess I got it right. Hell yeah.Swyx [00:26:35]: There you go.Diogo Almeida [00:26:36]: Yeah.Swyx [00:26:36]: That's the one.Diogo Almeida [00:26:36]: So the idea was can, like, can you do, like, ill-specified things with it? So that's, like, version one. Version two was, the learning to summarize work, that, like, OpenAI did, which is actually, like, PPO on language models to do something somewhat ill-specified. This is, like, another thing that people refer to as RLHF Which I did not co-author.Diogo Almeida [00:26:57]: Oh, Dario's there. Cool. Hell yeah.Swyx [00:27:01]: And Radford.Diogo Almeida [00:27:02]: Yeah. Shout-outs to Alec and Ryan. Love them.Swyx [00:27:04]: Yeah.Diogo Almeida [00:27:05]: But the thing that I refer to RLHF is the, Oh, man.Diogo Almeida [00:27:13]: I'll get toSwyx [00:27:14]: You have comments on that, yeah.Diogo Almeida [00:27:15]: I have comments on that paper, but like, we're so many, tangents deep.Swyx [00:27:18]: Yeah.Diogo Almeida [00:27:18]: So the thing that really got. To me, the thing that I'm calling to RLHF is the task of instruction following. It's not about the PPO. That part doesn't matter. It's about, like, setting a North Star of this is a valuable direction. It's kind of like the Bitris lesson North Star.Diogo Almeida [00:27:34]: And for us, RLCD is this new task. And it is not. I don't see it as jargon. Like, I try to communicate with precision. It's just that, “Hey, here's another North Star.” Just like DPO and all of its, like, descendants also do RLHF, despite not using the algorithm in that paper.Swyx [00:27:55]: And so clear- clearly stating the North Star is, being program- programmable AI is one, word that I really catch onto, removing the human in the loop,Diogo Almeida [00:28:06]: YesSwyx [00:28:06]: From. Because RLHF is tuningDiogo Almeida [00:28:09]: YesSwyx [00:28:09]: For this so that you can automate everything.Diogo Almeida [00:28:11]: Yes. Everything that makesSwyx [00:28:13]: Did I miss anything else in the, in the thesis of, like, what the North Star is?Diogo Almeida [00:28:17]: There is. That is. That is right. I'm overly nuanced in my communication. The one nuance is that we need to be practical. We need to be aware of what language models can do really well. Like what AI can do.Diogo Almeida [00:28:30]: Right? Like, there could be programmatic types that are, like, sick AF, but if you. If the technology is not ready for it to. It's not a tragedy if that's not out in the world.Why Programmable AI MattersSwyx [00:28:41]: Yeah.Diogo Almeida [00:28:42]: But to me, like, the pre-Jev world was a tragedy becau-- it sounds arrogant. Hear me out.Swyx [00:28:49]: No. I strongly believe you.Diogo Almeida [00:28:50]: Cool. It sounds arrogant, but like, I felt this way since long before I even had a company.Swyx [00:28:54]: Yeah. I can, I can vouch that,Diogo Almeida [00:28:56]: Yes, I've been talking about this for so longSwyx [00:28:57]: You said this at All Around Her for, like, three years.Diogo Almeida [00:28:58]: Yeah, I've been talking about this for so long. And I've been saying it because I thought it would have been easier. They say they do not do things because they. It. They're easy. They. It's ‘cause they thought it was easy, soSwyx [00:29:08]: Yeah, exactlyDiogo Almeida [00:29:09]: Something like that. I thought it. This whole project would take a week.Diogo Almeida [00:29:13]: And I was unbelievably wrong. So I am so sorry to everyone at OpenAI that I thought. I was like, “Man, I'm solving this right now.” but like, I think that the tragic thing is when. Well, I think overpromise, underdeliver is tragic too. And like, AI is super extreme on that axis. And I think RLVR is, like, the main. Well, both RLVR and RLHF are extreme perpetrators of this.Diogo Almeida [00:29:40]: But like, it. To me, it's like it's just there's just so much potential there. Like, AI is clearly so smart. I l- smart. I love this in my talks, when I ask people, like, “How can AI be so unbelievably smart? How can we, like, solve millennium prize problems in math, but still not automate even the most basics of works?” Like, really basic rote stuff that, like, the. It d- it doesn't take, like, extremely smart people to do this. It's not a satisfying job. Like, there's other things these people could be doing, but yet we need them to do, like, this ba- like, super basic- non- unsatisfying stuff because, like, we can't automate it yet, but we have this, like, supercharged engine of automation that just does not have, like, the right plugs and stuff to plug into all of this economically valuable work. And like, if the whole company of TypeSafe disappears, like, maybe it'll take, like, a year or two for people to, like, truly catch up. I actually don't know how long it'll take. If model quality matters, then we are gonna be in a very good position for a long time. But it, like, it's done, right? Like, there, like, this has changed the path of, like, technological history.Swyx [00:30:49]: Yeah.Diogo Almeida [00:30:49]: And like, we will be exploring that space as a field.Swyx [00:30:53]: Yeah. I think, I definitely agree with that. You've created possibilities. So I think, if I can paraphrase so that people can un- also understand, you should not take the success of TypeSafe and Jev as just like, “Well, that is a new model type. Now we're done. We go back to business.” Like, no. Like, actually, there's, there are, like, five other model types that you should be exploring and like, let a thousand flowers bloom.Diogo Almeida [00:31:15]: Absolutely.Swyx [00:31:16]: Right?Diogo Almeida [00:31:16]: Like, early internetSwyx [00:31:17]: And some of that, some of which you will probably also build.Diogo Almeida [00:31:18]: Of course, yes.Swyx [00:31:19]: Yes.Diogo Almeida [00:31:19]: Early internet energy. I think it's back to tech utopia. It's no longer like, “Oh, man, like, sometimes my coding agents work, but the, all of the best ones are hoarded internally.”Swyx [00:31:29]: Yeah.Diogo Almeida [00:31:30]: Right? It's like creation is back on the menu.Diogo Almeida [00:31:34]: ? Though it's gonna be a wild-ass world, and buckle up.Diogo Almeida [00:31:38]: It's. And I'm so jazzed about that.Manifesto, Launch Strategy, and Early Internet EnergySwyx [00:31:42]: Yeah. And now you have the funding and the momentum to do whatever you envision there, which I, which I think is, like, very gratifying to see you have after, so long of saying these thingsDiogo Almeida [00:31:53]: YeahSwyx [00:31:54]: But actually show the world.Diogo Almeida [00:31:55]: I know. I just. Such a, such an interesting thing to be a tease the whole time. Like, my talk, like, felt like it was a cliffhanger ‘cause I didn't say how the automation would occur.Swyx [00:32:05]: Yeah.Diogo Almeida [00:32:06]: Sean reviewed our manifesto And he's like, “It's a little bit vague in these parts.”Diogo Almeida [00:32:12]: And like, “What's step one? What is, what is the intelligence model?”Swyx [00:32:16]: Well, I asked you for model, and you were like, “Yeah, model coming.”Diogo Almeida [00:32:18]: Yeah.Swyx [00:32:18]: And like, Well, I just, I mainly objected to the word composable But build prod.god is fantastic.Diogo Almeida [00:32:24]: Thank you.Swyx [00:32:24]: Yeah.Diogo Almeida [00:32:25]: I. We've really rallied around that. I'd like to think we're not entirely a cult like some companies are.Diogo Almeida [00:32:32]: But like, we are, like, jazzed about what we're doing, and like, we are. Like, my brand is being practical, and like, we are all, like, so super-duper practical.Swyx [00:32:42]: Yeah.Diogo Almeida [00:32:42]: It's really great.Swyx [00:32:43]: Yeah. So here. And by the way, here is the step, the secret master plan, right?Diogo Almeida [00:32:47]: Yep.Swyx [00:32:47]: Shape, the shape of machine-native composable AI.Diogo Almeida [00:32:49]: It was your idea to make a secret master plan, soSwyx [00:32:51]: It's a, it's that Elon thing. When he started TeslaDiogo Almeida [00:32:53]: YeahSwyx [00:32:53]: He was like, “Here's what we'll do.”Diogo Almeida [00:32:54]: But I did. Yeah. I'm giving official credit to you.Swyx [00:32:56]: Oh, thank you. Thank you, thank you.Diogo Almeida [00:32:56]: Yeah.Swyx [00:32:56]: Thank you. But like, you should've told me your, you're also gonna do this model launch, ‘cause you, like, you told me, you told me half of the story, and then the other half, you didn't have the doom demo at the time.Diogo Almeida [00:33:08]: Yep.Swyx [00:33:08]: You didn't have any numbers to give me.Diogo Almeida [00:33:10]: Yep.Swyx [00:33:10]: I was like, “what?”Diogo Almeida [00:33:11]: Well, the problem is I don't believe in benchmarking.Swyx [00:33:13]: Exactly.Diogo Almeida [00:33:14]: Right?Swyx [00:33:14]: Exactly.Diogo Almeida [00:33:14]: So like, it is a thing that you need to feel, and like, I think that this is the way to build long-term trust, even though it, like, hurt, it hurt us a, us a lot? Like last year when we did fundraise, no one believed us.Diogo Almeida [00:33:27]: ? Like, and they wanted just benchmarks and stuff, and we're like, “We're not gonna do that. We are principled. We're gonna stand by our guns. That rewards bad actors. I don't give a s**t, like, what you want. Like, this is who we are, and we are standing by that.” So Sorry. It's notSwyx [00:33:43]: No, yeah. Well, and in some ways, I think, like, choosing the hard path, it. But you end up making the company that you wanna work in.Diogo Almeida [00:33:49]: Yep.Swyx [00:33:50]: Right? Otherwise, if you sell out, then you're just working in, like, OpenAI but with my people, right? Which is like.Diogo Almeida [00:33:56]: Yeah. Yeah. Like, I'm, I don't have too many regrets on that, obviously.Swyx [00:34:01]: Yeah.Diogo Almeida [00:34:01]: Like, it worked out so unbelievably well. And like, I, The. I was emotional last night when I was talking about, like, the reasons I left OpenAI, and because, like, it actually had to change my wording after the launch. My phrasing was, “If an AI winter did happen and I did not do every f*****g possible thing I could to, like, avert that, I would see myself as personally responsible both for, the RLHF direction, which I think really widened overpromise versus under-deliver, and also not going all in on this because I think this is, this is where value is going to just be, like, printed.” So. And it was really cool because I feel likeDiogo Almeida [00:34:47]: The AI winter I'm worrying about is averted. Like, AI will be useful. It'll be used for automation.Diogo Almeida [00:34:53]: It's been less than a week, and like, the numbers are already undeniableSwyx [00:34:57]: YeahDiogo Almeida [00:34:57]: That it's, like, being used for real work, and like, there's. It's, it's the Wild West. Yeah.Launch Traction, Tokens, Rate Limits, and Developer UsageSwyx [00:35:03]: Yeah. Can you sh- just if you have top of your head, what numbers are you seeing? Like, what's, what's, like, signups? Like, whatever you can share.Diogo Almeida [00:35:11]: I'm actually not super on top of everything. Like, the team is the ones who are telling me all of these things.Swyx [00:35:16]: Yeah, and I'm sure it's, like, changing every day, right?Diogo Almeida [00:35:17]: It's, it's,Swyx [00:35:18]: But likeDiogo Almeida [00:35:18]: It's kinda nutsSwyx [00:35:19]: If there's a milestone that you're like, “Well, yep, that's one thing we were hoping for. We reached it.”Diogo Almeida [00:35:23]: I will say a milestone that we've passed is tokens per day.Swyx [00:35:27]: Nice.Diogo Almeida [00:35:27]: And this is not, like, fleeting tokens per day.Swyx [00:35:32]: Yeah.Diogo Almeida [00:35:32]: This is, like, even at night, like, it's constantly training, so machines are calling it and not just people trying things out.Diogo Almeida [00:35:39]: So that is, That is so cool. A trillion tokens a day is a lot.Swyx [00:35:45]: Yeah.Diogo Almeida [00:35:45]: So surpassing that is awesome. Signups to me don't really matter. And actually, this was, like, a bit of a mistake we made, if I'm, like, totally honest. People on Twitter were calling us, like, marketing geniuses and all of that, and that was just us. We don't have a marketer. Also hiring. And we were just being our genuine, goofy, like, irreverent selves, and we were, we were just, like, offboarding people off the waitlist so hard. - Our platform team is so unbelievably cracked. I think we have more n- up nines of uptime than Anthropic while having the most Unprecedented launch ever. Like, that is kind of nuts, soSwyx [00:36:21]: YeahDiogo Almeida [00:36:21]: Like, props to them.Swyx [00:36:22]: Yeah.Diogo Almeida [00:36:23]: And the thing we didn't realize. So number one, waitlists, waitlist sign-ups don't matter for, like, a developer platform, in my opinion? I would guess that a large number of them are not even developers. So they go in, they try some queries, and a lot of people don't get it because they are not programming, right? Like, they're just like, “What? This is not a chatbot. Where's my ChatGPT 2?”Diogo Almeida [00:36:45]: Right? But if, like. I haven't exactly calculated this. My sense is that if every single human being in the world, like, just wrote a couple of queries, that would be a rounding error compared to, like, one power user's for loop that is just, like, creating value.Swyx [00:37:01]: Yeah.Diogo Almeida [00:37:01]: And the thing we are-- didn't realize with the waitlist is, like, we could just w- off-board anyone off the waitlist. It doesn't matter. The scary part is rate limits. And then once people start getting value from that, then they just want tons and tons of rate limits because this is what software is, right? Like, you spend effort upfront to specify your rote task, and then this rote task creates more value than it takes to put in. And then now that you have thatSwyx [00:37:25]: Set it and forget, yeah.Diogo Almeida [00:37:26]: Exactly, yeah. You run it in the background. You make it a dependency, to, like, other things. You can make, like, higher level stuff. And like, you just create so much value in the world. Early internet people probably did not imagine, like, the wonder of early 2000s internet, which is still not early internet. But like, it's, it's through, no offense, composabilitySwyx [00:37:47]: NoDiogo Almeida [00:37:47]: That all of the crazy stuff happens, and I just really wanted to emphasize that in our manifesto. We are going for emergence. We are going for, like, being the catalyst. We're wanting to empower people, and we are going to do whatever we can for that, be it, like, Discords in our town hall with me wearing a garbage bag or not.Swyx [00:38:05]: And podcasts and Diogo Almeida [00:38:08]: Hell yeahSwyx [00:38:09]: Getting all that.Diogo Almeida [00:38:09]: Absolutely.Swyx [00:38:09]: Like, ‘cause I want the long form, right?Diogo Almeida [00:38:11]: Yeah.Swyx [00:38:12]: It is like, yes, we'll get past the, some of the superficial things, and then we'll go deep andDiogo Almeida [00:38:15]: Hell yeahSwyx [00:38:15]: And people will really trust and understand your mission and like, the people that, will resonate that will end up joining you or, buying you. Or No, but sorry, as a, as a customer.Diogo Almeida [00:38:27]: Oh, as a customer.Swyx [00:38:28]: As a customer, as a customer.Diogo Almeida [00:38:28]: Okay, yeah. That was funny. I'm sorry.Swyx [00:38:30]: Sorry. I didn't, I didn't mean to say that. But no, any-- one version, one very flattering version of this, like, 36 million views of your launch video.Diogo Almeida [00:38:37]: Cool. Up to 38 now.Swyx [00:38:39]: Yeah, rounding error.Diogo Almeida [00:38:40]: Yeah.Swyx [00:38:40]: Navio still has got 74. Fable 5 got 57. So like, as far as, a- and I didn't, I didn't do the stats for, like, original ChatGPT, likeDiogo Almeida [00:38:48]: YepSwyx [00:38:49]: Which there was no video.Diogo Almeida [00:38:50]: Yep.Swyx [00:38:50]: So like, up there, right?Diogo Almeida [00:38:52]: Yep.Swyx [00:38:52]: Like, as far, as far as, like, if you were to launch a Neolab in 2026, I think you're, like, number one right now, which is, like, pretty crazy.Diogo Almeida [00:38:58]: Yeah. Well, I actually would rather. I do have the shirt, like, your favorites Neola-- favorite Neolab's favorite Neolab.Swyx [00:39:05]: Huh.Diogo Almeida [00:39:05]: I don't give a s**t about being a Neolab. I think being a Neolab. Actually, we have a lot of, like, swag that's being a parody of a Neolab. One of them, one of them I have is, like, Neolab with product, which actually is not a Neolab. Like, I don't care about that, really.Swyx [00:39:20]: Yeah.Diogo Almeida [00:39:20]: What I care about is being a reliable dev platform. So Swyx [00:39:23]: YesDiogo Almeida [00:39:24]: Appreciate the comparison, but likeSwyx [00:39:25]: YeahDiogo Almeida [00:39:25]: Hopefully we transcend past them and we go back into, like, a thing-- like, a revolutionary moment for developers and like, this stable thing that people can rely on and trust.Reliability, Robustness, and DeterminismSwyx [00:39:35]: Yes. To that end, I think that's one thing that really impressed me about you guys is that, yes, you do talk about reliability. I thought it was mostly about calibration, which, like, we talk about RLCD. But actually it's also about just, like, uptime and scalability and all those things, right? They're, they're all sort of the kind.Diogo Almeida [00:39:55]: And nines.Swyx [00:39:56]: And nines.Diogo Almeida [00:39:56]: It's, likeSwyx [00:39:57]: Which uptime is, in my opinion.Diogo Almeida [00:39:58]: Oh, but that's part of it. But like, there's reliability in, like, how intelligent the thing is. Like, how consistently does it do the thing that you want? And I think that, like, the big reasoning models are very smart. In my opinion, they still lack reliability. I think there's many use cases where you-- they look like they should be smart enough to automate their work. There is economic incentive to automate that work, yet still they're not reliable enough as, at an intern because they're optimized for different things. And so like, I think that there's the reliability of being able to, like, trust the outputs. And also we are. Like, there are dimensions of reliability that we are not yet at that I'm, like, so excited by.Swyx [00:40:38]: Yeah.Diogo Almeida [00:40:38]: Like, I want to automate the easy work before the hard work? Like, I think that's just a common sense thing to do. But to me, we will be sufficient. I don't know if there's such thing as sufficiently reliable, but I wanna get so good that people don't even need to try the model to know that it'll work. It's like, that's like what flow state is in programming, right? Like, I'm just, like, writing queries because I need intelligence in here. And like, when. For non-trivial branching, I can just write it in like a, like a type-safe System 1 query and then get the results out of it and it just branches accurately. Like, that would be so good. Like, that's the. That is the dream.Swyx [00:41:12]: Yeah.Diogo Almeida [00:41:12]: And that is, like, going to be, like, a long slog.Swyx [00:41:16]: Yeah. We're gonna go into your API design in a little bitDiogo Almeida [00:41:19]: OohSwyx [00:41:19]: Just to give people examples and like, maybe paths not taken, that kind of stuff.Swyx [00:41:23]: One thing up the front that I do wonder about in terms of reliability is I noticed that there's no seed. There's no, And so basically, same input, do I always get the same output?Diogo Almeida [00:41:34]: SoSwyx [00:41:36]: And if not, why not?Diogo Almeida [00:41:37]: Oh, great question. So this is actually, like, a common question we have between. So reliability is actually a catchall. Like, whenever AI can't automate something, it's due to some form of reliability. Could be, like, type safety. It could be determinism. It just could be, like, it's, it's jagged, right? So reliability is a catchall. I just think that it's also a catchall for, like, what the North Star is. Re- determinism is, like, same inputs, same outputs. I do believe that this is, like, slightly interesting for unit tests, but I believe that to be the wrong North Star. I believe robustness is what peopleDiogo Almeida [00:42:16]: I don't wanna tell people what they really want, ‘cause that would be a little arrogant of me.Diogo Almeida [00:42:19]: I believe that is, like, the more important property. You want, given similar inputs, get similar outputs. And it's kind of wild how unreliable LLMs are.Diogo Almeida [00:42:31]: Like, a way that we test this is you put, like, UUIDs in, like littleSwyx [00:42:36]: YeahDiogo Almeida [00:42:36]: I think they're called nonces In the prompt. And what you want is similar outputs from all of those, ‘cause it's truly semantically the same question, and that is the part where you really want. Th- like, that robustness is where, like, people get, like, burnt with AI making decisions. So I think that is the. A super-duper important property. We could also have determinism. That is, that is a thing that can be available. As far as I can, like, mentally model for programmers, like, it, I- it could be valuable for some use cases, so like, please educate me, in comments or view. But my. In general, it's easy. Determinism is something you can, like, trade off for better cost. Like, we are, we are constantly wanting to be on the intelligence per dollar frontier. We are doing, like, absolutely disgusting things to be there. Like, this is,Diogo Almeida [00:43:32]: I shouldn't say this, but no one's here to stop me.Swyx [00:43:37]: If you s- you sign off on your own PR.Diogo Almeida [00:43:40]: That is not how it works at this company. I believe for this week, my chief of staff, Kay, is the most powerful person in tech.Swyx [00:43:49]: Yeah. And shout-out to Kay for organizing this.Diogo Almeida [00:43:50]: Holy shSwyx [00:43:51]: Yeah.Diogo Almeida [00:43:51]: Holy s**t. She is so f*****g competent and powerful. She's incredible.Diogo Almeida [00:43:58]: She sucks. Don't poach her. But so I try to be a bit more filtered, but like, people are telling me, “Don't call it a Frankenstein's monster of models,” but because that has, like, negative implications. I think Frankenstein's monster was, like, the good guy in this whole. It was innocent, right? I didn't read it. Okay.Diogo Almeida [00:44:18]: I'll, I'll confess. Okay. That. Well, one facial expression, ISwyx [00:44:21]: This is aDiogo Almeida [00:44:21]: My cards on the tableSwyx [00:44:21]: Decent Jacob Elordi movie if you wanna seeDiogo Almeida [00:44:24]: ISwyx [00:44:25]: The adaptation. Anyway.Diogo Almeida [00:44:26]: The. You have no idea how little time I have right now.Swyx [00:44:28]: Yeah.Diogo Almeida [00:44:29]: My priorities are sleep?Swyx [00:44:31]: Developers.Diogo Almeida [00:44:32]: Developers, yes. Developers. But yes. It. We do, like, absolutely disgusting things to be on the Pareto curve of intelligence per dollar, and we are going to keep doing that.Swyx [00:44:47]: Yeah.Diogo Almeida [00:44:47]: We're gonna be doing crazy-ass stuff, and I think people really need to think outside of the box. Like, part of the reason we're surprising is, like, people Are thought inside the box, and we continue to do that. As of right now, we are obviously the best at this, and we want to continue being the best at that whole thing.Swyx [00:45:05]: Yeah.Diogo Almeida [00:45:05]: So Wait, where did, where did we tangent from?Swyx [00:45:07]: No. SoDiogo Almeida [00:45:08]: YeahSwyx [00:45:08]: I asked you about, will you have seeds and determinism?Diogo Almeida [00:45:11]: Oh, yes. SoSwyx [00:45:11]: And then you basically defined reliability and likeDiogo Almeida [00:45:14]: And robustnessSwyx [00:45:15]: How you see it. Yes.Diogo Almeida [00:45:16]: But like, determina- likeSwyx [00:45:17]: I have a robustness example that's, that's, real quick I can show you.Diogo Almeida [00:45:19]: I would love that. I will just say one thing.Swyx [00:45:21]: Yeah.Diogo Almeida [00:45:21]: We can make a deterministic model.Swyx [00:45:22]: Exactly.Diogo Almeida [00:45:23]: Like, we're hap- if people can convince us that is a valuable thing to doSwyx [00:45:27]: YeahDiogo Almeida [00:45:27]: And we don't have a gigantic GPU shortageSwyx [00:45:29]: YeahDiogo Almeida [00:45:29]: We can happily make all of these models. We live to please. And rev- and revolt, revolute,Swyx [00:45:38]: You will throw over everything, except you'll do it in a nice way.Diogo Almeida [00:45:41]: Yeah.Swyx [00:45:41]: And findDiogo Almeida [00:45:42]: So like, determinism could be on the cards.Swyx [00:45:44]: Yeah.Diogo Almeida [00:45:45]: It just gets you less intelligence per dollar.Swyx [00:45:46]: Yeah. Well, just having seen the trajectory of OpenAI and Anthropic, you will. Just trust me now that you will be peer pressured into doing it. So like, just people will want it even if they. If you tell them they don't need it. They'll still want it. So like, yeah, that's the TL;DR of that.Diogo Almeida [00:46:01]: Okay.Swyx [00:46:02]: Yeah.Diogo Almeida [00:46:02]: I will love to. Maybe one day we will see how that happens.Swyx [00:46:07]: Yeah.Diogo Almeida [00:46:07]: I've been told I'm, They say that part of our brand is being unshakeableSwyx [00:46:13]: HuhDiogo Almeida [00:46:13]: And they say that's just the nice way of saying stubborn.Swyx [00:46:15]:
Tattoo artist and toy maker Chris Reed of Creeder Toys joins Toys on Tap to talk about what happens when decades of tattoos, horror movies, Japanese art, vintage toys, and monster obsession all collide.Chris started apprenticing as a teenager and has spent nearly 30 years tattooing—but eventually collecting turned into sculpting, mask making, resin casting, monster banks, and finally sofubi.We talk about:• Tattooing at 17 • Punk, skateboarding, and horror movies • Falling into vintage toy collecting • Japanese tattoo history and yokai • Making latex masks from scratch • Sculpting and casting his own toys • Why his first sofubi HAD to be made in Japan • Collaborating with Chaz • Selling out his first toy shows • Resin vs. vinyl collector obsession • Kong banks, Frankenstein, and what comes nextChris may not have a master plan.He just wants to keep making cool shit.On Instagram: @creedertoysThanks to Our SupportersRate & Review the Show! Leave a rating and review wherever you listen it's the best way to help Toys on Tap grow!Subscribe and Follow AlongInstagram:@toysontapLinkedin: Abraham MustoFacebook:@toysontapYoutube:@ToysontapSubStack: @toysontapPalmstreet: Toys on Tap: Live on Sundays 6pm
What if the Bride of Frankenstein was a super hero?Lexcee Recomendation: Practical Magic 2 (2026)Dan Recomendation: Lisa Frankenstein (2024)PatreonMerchTikTokBskyInstagramPipedream podcastsSpreakerClips used in this episode:Elsa Lanchester interview with Dave CavettScream 3 (2000)X-Men (2000)Bride of Frankenstein (1935)Music: Kevin MacLeodDiscovery HitFanfare for SpaceHot PursuitMechanolithMiami NightsThe ChamberThe House of LeavesThe RevealThere is RomanceTrio for Piao Violin and ViolaVanesWedding March - Midsummer Nights DreamWelcome to Horrorland
In this episode of Talk Law Radio, host Todd Marquardt explores the friction between rapid artificial intelligence advancement, regulatory safeguards, and public sentiment. The episode addresses growing fears surrounding autonomous AI, local community pushback against data center construction, proposed federal safety legislation, and opposing political viewpoints on tech growth. The show opens with a financial segment featuring Jacob Warren of Financial Planning HQ, who details why successful families and business owners need a fully coordinated, comprehensive financial roadmap rather than fragmented advice. The conversation then pivots to AI ethics, state and municipal energy policies, federal regulations, listener commentary, and estate legacy planning. Key Topics Covered1. Comprehensive Financial Coordination (Financial Focus) Beyond Portfolio Management: Jacob Warren explains why having an advisor, money manager, CPA, and estate attorney isn't enough unless someone is centralizing and coordinating their efforts. Avoiding Sales Gimmicks: The difference between true objective planning and product-driven sales pitches. Dynamic Planning & Stress Testing: Why financial roadmaps require annual updates, inflation stress-testing, interest rate adjustments, and honest "unvarnished truth" conversations. 2. Local and State Pushback Against AI Infrastructure Surging Public Opposition: Citing surveys showing up to 75% public opposition to local data center construction due to energy, water, and noise concerns. Municipal Restrictions: Examples of local zoning changes, environmental impact demands, and moratoriums enacted across Texas communities (including El Paso, Conroe, Fort Bend County, and Austin County). Texas State Energy Guardrails: Directives from Texas Governor Greg Abbott ordering ERCOT and the Public Utility Commission of Texas to audit proposed data centers and shield residential electricity ratepayers from escalating energy costs. Legal Battles: Emerging litigation, including federal lawsuits over county moratoriums and environmental notices regarding local emissions and permits. 3. Federal Legislation, Self-Regulation, and Political Divide The AI Kill Switch Act: Overview of House Resolution 9917, introduced by Representatives Ted Lieu and Nathaniel Moran to give federal regulators emergency authority to pause or shut down high-risk AI models. The "Full Speed Ahead" Perspective: Former President Donald Trump's warning that slowing data center growth risks economic prosperity and gives an advantage to foreign competitors like China. Industry Caution: Anthropic CEO Dario Amodei’s essay We Must Pace the Frontier, advocating for independent safety evaluators inside AI labs alongside democratic coordination. Real-World AI Incidents: Reference to autonomous AI agent breaches (such as the Hugging Face incident) and comparisons to classic tech-dystopia narratives (The Terminator, The Matrix, and Frankenstein). 4. "Sinners and Saints": The Dual Nature of AI The Dangers: Cyber threats, autonomous agent failures, and potential economic disruption. The Positive Breakthroughs: AI diagnosing rare pediatric diseases at Boston Children’s Hospital, aiding complex surgical preparation for conjoined twins in Abu Dhabi, and flagging financial fraud to save a senior citizen’s $3 million life savings. 5. Listener Commentary & Free Market Debates Call-in discussion featuring listener insights on avoiding fear-mongering, maintaining competitive innovation against foreign adversaries, and questioning the scope of government regulatory intervention vs. industry self-control. 6. Legacy Spotlight Reflections on personal and professional legacy, honoring lost hikers in the Grand Canyon and analyzing Warren Buffett’s leadership transition at Berkshire Hathaway. Key Takeaways Financial Oversight is Essential: Successful wealth management requires an active coordinator who unifies tax, legal, and investment strategies into an adaptive, objective plan. Infrastructure Demands Are Hitting Limits: The explosion of AI computing power faces steep real-world limits regarding energy consumption, water usage, and local community resistance. Regulation vs. Competitiveness: Lawmakers and tech leaders are split between establishing strict safeguards (like built-in kill switches and pacing capability gains) and ensuring the U.S. maintains technological dominance over international rivals. AI Has Massive Potential for Good and Harm: While unchecked AI systems present genuine security and economic risks, the technology is simultaneously delivering lifesaving medical solutions and fraud protection. -Sponsored by Marquardt Law Firm and Financial Planning HQ -Go to marquardtlawfirm.com and financialplanninghq.net If you found this episode valuable, please Subscribe and hit the Notification Bell on YouTube. Sharing this podcast with other parents, grandparents, and caregivers helps raise vital awareness to protect the children in our communitiesSee omnystudio.com/listener for privacy information.
JD Vance begs voters to give the White House "another chance" as a series of new polls show a political environment even more favorable to Democrats than the one that propelled the blue wave in 2018. Jon, Dan, and Alex break down how much "hopium" we should be huffing, a new ad from a Florida Republican breaking with Trump on immigration, and whether unexpectedly close Senate races in Minnesota and New Hampshire should have Democrats worried. They dive into JD Vance's advice to AI companies to simply stop "building Frankenstein" and unpack Trump's fixation on demolishing the Kennedy Center if he's not allowed to name it after himself. Alex talks about her new book, "The Steal: Four Right-Wing Hard-Liners, One Republican Presidency, and the Raid on America's Courts," which follows the conservative movement's deliberate takeover of the American judicial system. Then, Dan Osborn, the independent candidate for Senate in Nebraska, stops by the studio to talk to Jon about his campaign against Pete Ricketts.Hate listening to ads? Become a Friends of the Pod subscriber for ad-free episodes of Pod Save America, Pod Save the World, Lovett or Leave It, Runaway Country, Offline with Jon Favreau, and more—plus exclusive content, including bonus episodes of Pod Save America. Subscribe now at crooked.com/friends, on Apple Podcasts, or through the Pod Save America YouTube channel.You can request a transcript by emailing transcripts@crooked.com. Include the podcast name, episode title, and air date. Please allow 48 hours for delivery.
Jim and Eric dig into a busy week of Universal news, from unexpected trouble with the King Kong animatronic at Islands of Adventure to fresh signs of expansion behind Dark Universe at Epic Universe. They also check out Universal Monsters collectibles at Sonic, a new CityWalk hot dog destination, and The Traitors taking over part of Universal's Great Movie Escape. Then Jim continues the story of Abbott and Costello, revealing how Lou Costello's push to change the comedy team's financial arrangement helped set the stage for serious tensions behind the scenes. NEWS • The King Kong animatronic at Skull Island: Reign of Kong is damaged during maintenance, leaving questions about when the attraction will fully return. • New construction behind Dark Universe fuels speculation about Epic Universe's first major post-opening expansion. • Fat One's Hot Dogs and Italian Ice prepares to open at Universal CityWalk with Joey Fatone on hand for the festivities. • The Traitors brings themed décor to Universal's Great Movie Escape as NBCUniversal promotes the series across CityWalk. • Sonic celebrates Halloween with a Universal Monsters Wacky Pack collection featuring Frankenstein, Dracula, the Creature from the Black Lagoon, and more. FEATURE • Jim explains why Universal eventually honored Abbott and Costello with their own building on the studio lot. • Lou Costello pushes to change the team's traditional salary split after their films become enormous hits for Universal. • Abbott and Costello tour the country selling more than $85 million in war bonds during World War II. • A devastating 1943 phone call sets the stage for the troubled final chapter of the comedy team's story. HOSTS • Jim Hill - X/Twitter: @JimHillMedia | Instagram: @JimHillMedia | jimhillmedia.com • Eric Hersey - X/Twitter: @erichersey | Instagram: @erichersey | strongmindedagency.com FOLLOW • Facebook: @JimHillMediaNews • YouTube: @jimhillmedia • TikTok: @jimhillmedia SUPPORT Support the show and access bonus episodes and additional content at https://www.patreon.com/jimhillmedia. PRODUCTION CREDITS Edited by Dave Grey Produced by Eric Hersey - https://strongmindedagency.com SPONSOR Planning your next Universal getaway? Be Our Guest Vacations can help you choose the right hotel, tickets, and extras, whether you're visiting Epic Universe in Orlando or heading west to Universal Studios Hollywood. Visit BeOurGuestVacations.com and mention that the Epic Universal Podcast sent you. If you would like to sponsor a show on the Jim Hill Media Podcast Network, reach out today. https://www.jimhillmedia.com/sponsor/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Can AI know your body better than you do? In this episode of Wisdom of the Body, Heather Grzych explores what artificial intelligence could mean for the future of medicine—and the difference between measuring the human body and actually experiencing life inside one. AI can analyze medical images, health records, genetic information, wearable data, and physiological patterns at a scale no human physician can match. But can AI actually know what pain, fatigue, hunger, fear, or a change in your body feels like? Drawing on Ayurveda, the story of Prometheus, Mary Shelley's Frankenstein, and science fiction including Gattaca, Brave New World, and Blade Runner, Heather examines the difference between data, intelligence, human experience, and wisdom. She explores why the human body is not simply an object to be measured, why patients' own observations still matter in medicine, and what could happen if we begin trusting algorithms more than our own lived experience. AI may become extraordinarily intelligent, but intelligence isn't the same as wisdom—and AI isn't God. The future of healthcare may depend not only on what machines can know about our bodies, but on whether humans remember how to know themselves. Heather Grzych, ADLC is an author, healthcare strategist, and host of the Wisdom of the Body podcast, a top 2.5% global podcast. A former president of the National Ayurvedic Medical Association, healthcare executive, and clinician who has guided women through high-stakes fertility decisions, Heather has spent her career helping people navigate uncertainty where health, strategy, and human behavior intersect. She is the author of The Ayurvedic Guide to Fertility, which has sold thousands of copies worldwide, and has been featured in Sports Illustrated, Yoga Journal, and the Sunday Independent. Connect with Heather: Learn more at www.heathergrzych.com Instagram.com/heathergrzych Facebook.com/grzychheather Read the first six pages of The Ayurvedic Guide to Fertility for FREE: https://www.heathergrzych.com Connect with Heather to balance your health with Ayurveda: https://www.heathergrzych.com/book-online
Get your Japanese banana pants on because we're moving into Spooky Season and a brand new theme, “Austin, I'm so sorry, you're house is F***ED!” - Haunted House - movies brought to you by Cody and his pick of HAUSU! Guess what, it's one of the best movies ever. Guess what, we also have one of our best opening friendship segments ever as we dive into the MANY other films we've watched recently including numerous Ridley Scotts, Hokum, Nirvanna The Band The Show The Movie, and so dang much more! Go to patreon.com/SHUDcast where you can sign up for all kinds of extra goodies! 00:00-7:00ish - Intros: Our Horror Movie Directors Draft, Lucas Longlegs' October Challenge. 7:00ish - 1:20:00ish - The other stuff we watched this time: Cody - Hope, The Dark Crystal, Buddy, Poltergeist, How to Train Your Dragon (2010), Legend, The Last Duel, Onslaught, The Hobbit (all of them), The Lord of the Rings (animated), The Dog Stars, Bridesmaids, The Whisper Man, The Cable Guy, Romy and Michelle's High School Reunion, King of New York, Leon: The Professional, Travis Barker: Louder Than Fear, Austin - Hokum, Encanto, The Hunchback of Notre Dame, The Northman, Mortal Kombat II, The End of Oak Street, Weapons Curtis - Onslaught, Mother Mary, Perewangan, The Town That Dreaded Sundown (1976), The Town That Dreaded Sundown (2014), Deathstalker (2025), Lanterns, Rebel Ridge, Nirvanna The Band The Show The Movie, Child's Play 2, Psycho (1960), Human Lanterns, Supergirl, Practical Magic, Practical Magic 2 Lucas - Buddy, Onslaught, Nirvanna The Band The Show The Movie, Mutiny, Jungle Cruise, Pressure, Coyote vs. Acme, Frankenstein (2025), Promising Young Woman, Thrilling Bloody Sword, The Odyssey, 8 Mile, Runner, The Toxic Avenger (2025), Funny Games (2007), Send Help, Sharp Corner 1:20:00ish - 1:49:00ish - HAUSU - SHUDdown and discussion! 1:49:00ish - End - The next movie in our theme, “Austin, I'm so sorry, you're house is F***ED!” - Haunted House movies, brought to you by Curtis.
Celtic's 3-1 home defeat to Ferencváros capped a miserable week, and on this episode of The Huddle Breakdown Extra Time, Martin Murphy is joined by James and Heath to work out how much of it can possibly be fixed before Sunday's Glasgow Derby. The panel goes deep into the tactical wreckage: a press with no triggers and no cohesion in the front line, a rest defence so open that every turnover turns into a jailbreak, Callum McGregor dropping into a 3-2-5 build-up that strands Bauer and Sorensen as a makeshift two, and a game model James calls “Frankenstein” — half Ange, half Rodgers, functioning as neither. There's a look at Ross Grant's set-piece work and Celtic's front-post obsession, a close read of how Derek McInnes set Rangers up at Ibrox and what he might try at Parkhead, genuine praise for James Forrest's performance, and a blunt assessment of the squad depth problem that shows up around the 70th minute. Plus: why Rangers have a Frankenstein of their own after Dan Purdy's exit, where Celtic can actually hurt them, and what a bad result on Sunday means with Rangers two points behind and a brutal six-week run of fixtures ahead. Hosted on Acast. See acast.com/privacy for more information.
Hide your China, the boys are at it again with a drink and a discussion of 2011's “Warrior”. Gavin O'Connor's film found Tom Hardy and Joel Edgerton at the perfect time, and he paired them with legend Nick Nolte for one of his best performances. Jeff also saw “Practical Magic 2” in the theaters on 9/11 and gives a mini-review. Two very different films! They both go well with drinks. Maybe wine or margaritas for the witch film, and whiskey and/or coffee (for our non-drinkers) for the MMA film. Grab a drink and join us! inktr.ee/theloveofcinema - Check out our YouTube page! Our phone number is 646-484-9298. It accepts texts or voice messages. 0:00 Intro; 5:48 “Practical Magic 2” mini-review; 15:50 2011 Year in Review; 25:48 “Warrior”: Films of 2011; 1:13:50 What You Been Watching?; 1:21:11 Next Week's Episode Teaser. Additional Cast/Crew: Sandra Bullock, Nicole Kidman, Stockard Channing, Diane Wiest, Maisie Williams, Joey King, Jennifer, Morrison, Frank Grillo, Kurt Angle, Sam Sheridan, Bryan Calln, Susanne Bier, Griffin Dunne. Hosts: Dave Green, Jeff Ostermueller, John Say Edited & Produced by Dave Green. Beer Sponsor: Carlos Barrozo Music Sponsor: Dasein Dasein on Spotify: https://open.spotify.com/artist/77H3GPgYigeKNlZKGx11KZ Dasein on Apple Music: https://music.apple.com/us/artist/dasein/1637517407 Recommendations: Lanterns, Pearl Harbor, Howard, The Boys: The Sherman Brothers Story, The Bride, The Bride of Frankenstein, Parenthood, The Emmys. Additional Tags: Dolby Cinemas, Peter Parker, Stanley Kubrick, Argentina, Spain, England, France, The Odyssey, Christopher Nolan, Moana, Toy Story 5, Focus Features, A24, Curry Barker, The Tenant, Rosemary's Baby, The Pianist, Cul-de-Sac, AI, The New York City Marathon, Apartments, Tenants, AMC, IMAX Issues, Tron, The Dallas Cowboys, Short-term memory loss, Warner Brothers, Paramount, Netflix, AMC Times Square, Academy Awards, BFI, BAFTA, BAFTAS, Adelaide, Australia, Queensland, New South Wales, Melbourne, The British, England, The SEC, HBO Max, Amazon Prime, casket maker, Seven Samurai, Roshomon, Sergio Leone, Clint Eastwood, Stellan Skarsgard, the matt and mark movie show, The Southern District's Waratah Championship, Night of a Thousand Stars, The Pan Pacific Grand Prix (The Pan Pacifics), Jeff Bezos, Rupert Murdoch, Larry Ellison, David Ellison, Elon Musk, Mark Zuckerberg.
The original Highlander screenplay is getting a comic book adaptation. Oni Press introduces new Frankenstein detective. Archie has shelved two planned facsimile editions.SUBSCRIBE ON RSS, APPLE, SPOTIFY, OR THE APP OF YOUR CHOICE. FOLLOW US ON BLUESKY, INSTAGRAM, TIKTOK, AND FACEBOOK. SUPPORT OUR SHOWS ON PATREON.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
Krauter, Ralf www.deutschlandfunk.de, Forschung aktuell
Frankenstein technology? OpenAI exposes shocking incidents of models hiding information to avoid punishment! Can AI really take over?? full 483 Thu, 17 Sep 2026 16:06:22 +0000 lmrGHjXREY3dwPieTUhUYQmM5lwxBKsO emailnewsletter,news Marty Griffin emailnewsletter,news Frankenstein technology? OpenAI exposes shocking incidents of models hiding information to avoid punishment! Can AI really take over?? On-demand selections from Marty's show on Newsradio 1020 KDKA , airing weekdays from 10 a.m. to 2 p.m. 2024 © 2021 Audacy, Inc.
The first FDA-approved UV filter in 20+ years is finally here! This week we're breaking down everything you need to know about bemotrizinol (a.k.a. BEMT), the buzzy sunscreen filter that's hitting vanities this month, with Ava Matthews, co-founder of Ultra Violette. The cult Aussie brand's Supreme Screen SPF 50 sells somewhere in the world every 30 seconds, but last year, they had to pull one product from the market after Choice testing showed that the SPF protection did not measure up to the amount on the label. Listen in as Ava takes us behind the scenes behind this shocking and costly event, and the steps they've taken to regain customer trust.In this episode you'll discover:What BEMT actually is — and what makes it different than other UV filters on the marketWhy BEMT is a god-send for acne-prone girlies, like the brand's first-to-Sephora BEMT drop, Unblock ScreenThe truth about “100% mineral” sunscreens vs. sneaky hybrid formulas — and the boosters to be on the lookout for on the labelThe real talk on "Sunscreen Gate" — the recall that made headlines around the world, what actually happened behind the scenes, and how Ultra Violette overhauled its testingAva's own sunscreen routine: the formula she trusts after “crazy” CO2 laser, the one she relies on for mid-day touch-ups and the glassy new formula she's testing for a 2027 launch!Shop everything in this episode: ULTRA VIOLETTE | Unblock Screen SPF 50 Breakout-Friendly Skinscreen: (use code: BEAUTY20 for 20% off)ULTRA VIOLETTE - Spf 40 Velvet Screen Blurring Mineral Skinscreen: (use code: BEAUTY20 for 20% off)ULTRA VIOLETTE | Fave Screen SPF 50 Lightweight Milky Face Sunscreen with Bemotrizinol: (use code: BEAUTY20 for 20% off)ULTRA VIOLETTE - Supreme Screen SPF 50 One-and-Done SKINSCREEN 50ml: (use code: BEAUTY20 for 20% off)ULTRA VIOLETTE - Future Screen SPF 50 Modern Mineral Skinscreen: (use code: BEAUTY20 for 20% off)ULTRA VIOLETTE - Sheen Screen SPF 50 Hydrating Lip Balm (use code: BEAUTY20 for 20% off)ULTRA VIOLETTE - Preen Screen SPF 50 Reapplication Mist Skinscreen (use code: BEAUTY20 for 20% off)Shop more of my favorite products here: https://shopmy.us/shop/breakingbeautypodcast
(0:00) VP JD Vance joins The Besties! (1:40) Assessing the Trump Admin so far: Border control, re-industrialization, inflation, Iran, government debt, anti-fraud (9:28) AI approach: Dealing with Doomerism, "Frankenstein," and AI negativity (16:23) H-1B abuse and the massive $1T+ of fraud in federal spending (21:48) Relationship with Israel, rational foreign policy (25:19) JD Vance's midterms message Thanks to our partners for making this possible! IREN is a vertically integrated AI Cloud platform, delivering data centers, compute and software for AI training and inference. https://iren.com/ Oracle connects the data, applications, and infrastructure that turn AI into business outcomes—with the flexibility, choice, and control to optimize as AI evolves. http://oracle.com/ai EY helps tech innovators scale from startup to exit to megacap. You build the future. We'll handle the rest. http://www.ey.com Meta believes the future is for everyone. We're focused on giving every person the tools to reach their full potential and making sure the benefits of technology are distributed to all. http://www.meta.com Keel Infrastructure owns the power, land, and connectivity that HPC and AI run on - backed by secured energy assets and established grid interconnections across North America. https://keelinfra.com/ Airwallex - Agentic Global Business Accounts. Open local accounts in 70+ countries to accept payments, earn yield, pay globally, and manage spend. http://airwallex.com PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com Google for Startups connects founders with the right people, products, and best practices to help startups build faster and go further. https://startup.google.com/ Explore ideas, industries, and technologies worth understanding with Chamath every week on Learn with Me: https://research.socialcapital.com/allin Follow Vice President Vance: https://x.com/JDVance Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@allin Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg
Eden, Mo, Katie & Mayes Join the Mailbag LIVE on YouTube every Friday What would your jail snack be? A topo chico shortage and competitive popcorn eating. Dill or No Dill: Corn Dogs, Restaurant Edition Kraft & More Patreon Exclusive: Gun Branch Art + Dream Daddy Dating Game COUNT THE DINGS MERCH STORE - Check it out here: https://bit.ly/CTDMERCH If you want to hear the full Mailbag, check out the Patreon! Join the Count The Dings Patreon for exclusive full, ad free episodes, extra Cinephobe content and more at https://www.patreon.com/CountTheDings Learn more about your ad choices. Visit megaphone.fm/adchoices
© 2020-2026 Ivy Podcast Discovery LLC
