Podcasts about CGI

Chris and Erik talk about their respective trips to Denver and Miami, why the American terminal at LAX is a nightmare with 75 elevators and no baggage claim in sight, the rule that there should only ever be two modes of transportation to get anywhere, paying $3,500 for first class to Pittsburgh and the whole game of airline status and upgrades, flying with kids and the under-two pre-boarding gripe, Erik falling in love and crying to an AI album, debating AI vs CGI, the JPMorgan exec fired for stealing a Knicks trash can,pretty privilege and whether a Megan Fox type would get away with the same move, Rodney Alcala the Dating Game serial killer and how you used to be able to disappear before the internet and DNA, the Florida couple who got the wrong embryo from their fertility clinic and what kind of baby would throw you the most, the movie Slanted, not wanting to cry over blue people in Avatar, Chris's upcoming tour dates, and much more!Ethos: Get your free life insurance quotes at https://ethos.com/goldenhourHims: Visit https://hims.com/golden for your free online visitGet two extra episodes every month at https://Patreon.com/TheGoldenHourPodcastTo submit to the show email: thegoldenhoursubs@gmail.com or Dropbox Link: https://www.dropbox.com/request/fqtbexhxyaky9X8f8MV1In the subject line, specify whether your submission is King It or Sting It, Debate Club, Rip My Drip, Relationship Advice, or Flaunt My Aunt. In the body of the email, include the attachment, your name, where you're from, and in the case of Flaunt My Aunt, the name of your relative.SUBSCRIBE to The Golden Hour Podcast: http://www.youtube.com/c/KingandtheSting Get your King and the Sting merch at https://thicccboy.com/collections/sale-home-pageFollow #TheGoldenHourInstagram: https://www.instagram.com/the.golden....Twitter:https://twitter.com/the_golden_hrFacebook: https://www.facebook.com/KingandtheStingAnd check out Brendan, Chris, & Erik on social media!Brendan Schaub:https://www.instagram.com/brendanschaubhttps://twitter.com/BrendanSchaubhttps://www.facebook.com/OfficialBren...Chris D'Elia:https://twitter.com/chrisdeliahttps://www.instagram.com/chrisdelia/https://www.facebook.com/chrisdeliaof...Erik Griffin:https://twitter.com/ErikGriffinhttps://instagram.com/erikgriffinhttps://www.facebook.com/erikgriffinc... See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In part one of this two-part Cookie Jar, Chelsea and producer Kristina unpack the CGI shot they did not see coming in J.Lo's latest rom-com “Office Romance,” break down their favorite tracks from Olivia Rodrigo's new album, and Chelsea shares a few hot recommendations. Plus: what's behind Hollywood's obsession with hockey romance and a bizarre AI mix-up involving Spencer Pratt.  Part 2 with Love Island will be out for Subscribers Only soon! Contact us or send us your voice notes: hello@glamoroustrash.com Follow Chelsea: Instagram @chelseadevantez Join the cookie community: Become a member of the Patreon Thank you to our sponsors: Quince  - Go to quince.com/glamorous for free shipping on your order and 365-day returns.  Thrive Causemetics - Get 20% off your first order at thrivecausemetics.com/glamorous  Libro.fm - Click here to get 2 audiobooks for the price of 1 with your first month of membership using code TRASH. Show Notes: Chelsea's latest newsletter recs Ecosia browser link Chickpea Salad Sandwich Recipe Ben Stiller interview Where to find our guest: Kristina Lopez Instagram *** Glamorous Trash is all about going high and low at the same time— Glam and Trash. We recap and book club celebrity memoirs, deconstruct pop culture, and sometimes, we cry! If you've ever referenced Mariah Carey in therapy... then this is the podcast for you. Learn more about your ad choices. Visit podcastchoices.com/adchoices

House of the Dragon Season 3 finally lands, and the Battle of the Gullet gives the premiere one of the strongest hours the show has produced, complete with a death that reshapes the war and a 9 out of 10 score. It is a solo Father's Day episode, so Frank carries the news himself before settling into a full spoiler breakdown of the Targaryen civil war. Along the way Frank reacts to the first full Shrek 5 trailer and the cast joining Mike Myers, Eddie Murphy, and Cameron Diaz, celebrates the official greenlight of the Dungeon Crawler Carl TV show at Peacock, and unpacks EA's new in-game advertising platform coming to Madden and College Football 26. The episode also brings back a roundtable from the previous week, where Phil and Thomas help untangle the messy, fast-moving Bricks and Minifigs consignment controversy and what it says about chasing clout in a legal dispute. Timestamps and Topics 0:00 Intro and Father's Day Catch-Up 1:03 Shrek 5 Trailer Breakdown 5:18 Dungeon Crawler Carl TV Show Greenlit at Peacock 11:10 EA's New In-Game Ads Platform 16:23 Bricks and Minifigs Controversy with Phil and Thomas 36:21 House of the Dragon Season 3 Episode 1 Review 55:53 Father's Day Send-Off Key Takeaways The full Shrek 5 trailer eases a lot of the early animation backlash, introduces the next generation of characters voiced by Zendaya, Marcelo Hernandez, and Skyler Gisondo, and reunites the original trio under returning director Walt Dohrn and co-director Conrad Vernon. The Dungeon Crawler Carl series is officially greenlit at Peacock with Matt Dinniman confirming it, Seth MacFarlane executive producing through Fuzzy Door, and Chris Yost writing, plus a Princess Donut CGI test that won the creator over. EA is rolling out a proprietary in-game ad server built on the Frostbite engine to drop swappable, location-targeted brand placements across Madden, EA Sports FC, College Football 26, and NBA titles. The Bricks and Minifigs saga started as a local consignment dispute over a massive sealed Lego collection and spiraled into a national story involving Reckless Ben, Coffee Zilla, Patreon, and harassment of unrelated stores. The Battle of the Gullet leans into spectacle with two real ships built to collide and three dragons in the air, landing the death of Jace and setting Rhaenyra up to carry the blame. The premiere doubles down on its core theme of women like Rhaenyra, Alicent, and Rayna being boxed in by the men around them, earning a 9 dragon eggs out of 10 from Frank. Quotes "House of the Dragon is about smashing two gigantic CGI dragons together and seeing who survives." "I'm going to give this a solid nine dragon eggs out of ten." "You kids nowadays, you don't know the joy of a DVD menu." "I don't believe there is good, I don't believe there is evil. I believe everybody has the capacity for both." (Phil) "When everything is said in clickbait titles instead of what is actually going on, suddenly everybody is a bad guy and everybody is a good guy." Call to Action If you enjoyed the episode, hit subscribe so you never miss a drop, leave a rating and review wherever you listen, and share this one with a fellow geek on social media using #GeekFreaksPodcast. Links and Resources All news discussed on the show is sourced from GeekFreaksPodcast.com, including the full Bricks and Minifigs timeline. Visit https://geekfreakspodcast.com/ Follow Us Facebook: https://www.facebook.com/thegeekfreakspodcast Threads: https://www.threads.net/@geekfreakspodcast Patreon: https://www.patreon.com/GeekFreakspodcast Host: Frank [@franklourence79] Listener Questions Got a hot take on the House of the Dragon premiere, a Dungeon Crawler Carl casting pick, or a topic you want covered next? Send your questions, reactions, and future episode ideas our way. We love reading them on the show.

Episode 297 of Tom Clark's 6M Podcast is a look at Mars Attacks!. Tom Clark and Phil Lindsey break down Tim Burton's 1996 sci-fi black comedy, based on the infamous Topps trading card series. They examine the film's massive ensemble cast, its satirical take on alien invasion movies, and how Burton blended 1950s B-movie influences with dark humor, over-the-top destruction, and one of the most unconventional blockbuster casts of the decade. They also discuss the film's troubled development, the decision to replace stop-motion effects with CGI, Danny Elfman's score, and the movie's evolution from box office disappointment to cult classic. Does Mars Attacks! work as a sharp parody of alien invasion films and American institutions, or is it simply a gloriously chaotic exercise in Tim Burton's unique brand of filmmaking? Dive into that and a lot more! Subscribe on YouTube: https://www.youtube.com/@boinkstudios Appreciate the content? Support the channel: https://buymeacoffee.com/tomclark Visit us at: https://boinkstudios.com Follow the 6M Podcast: Facebook: https://www.facebook.com/6mpodcast Instagram: https://www.instagram.com/6mpodcast/ Bluesky: https://bsky.app/profile/boinkstudios.bsky.social Listen to Boink Studios' Podcasts: Tom Clark's Main Event: https://podcasts.apple.com/us/podcast/tom-clarks-main-event/id910362334 Bare Mode: A Podcast Review of The Bear: https://podcasts.apple.com/au/podcast/bare-mode-a-podcast-review-of-the-bear/id1828513020 Two Nations Under Ted: A Ted Lasso Podcast: https://podcasts.apple.com/us/podcast/two-nations-under-ted-a-ted-lasso-podcast/id16938703   © Boink Studios 2026

Ryan and Brady had some fun with this Enterprise episode! Could it be that the show gets better in the second half? Is this really Stargate or Babylon 5-coded, as Ryan seems to think? How about that CGI? We talk about all that and more!

Welcome to another episode of Death Don't Do Fiction, the AIPT Movies podcast! The podcast about the enduring legacy of our favorite movies! It's June, so that means it's time for our “Junesis” series! Where we cover movies based on/revolving around video games! In this week's episode, Alex, Tim, and first time guest Gordon Jones discuss the first ever video game movie sequel, 1997's Mortal Kombat: Annihilation! Daddy issues! Cyber Ninjas! A hot goth baddie! Animalities! A lady with four arms kinda! Speedy sleeve removal! Goofy cybernetically-enhanced arms! Abundant flips! Evil eyebrows! Weird gyroscopic transport spheres! Surprise landmarks! Fun miniature FX! Cheesy designs and poorly executed CGI monsters! Excessive use of possibly one sandpit! Fun sets! Extra budget for campiness! An occasionally imposing villain! Awkward attempts to emulate gameplay! Shockingly few fatalities! An iconic soundtrack that does a lot of heavy lifting! Very noticeable recasting! Nearly-great fight scenes featuring stunt performances from future action movie legends Tony Jaa and The Furious director Kenji Tanigaki! All that and more in this infamous sequel that resulted in Paul W.S. Anderson holding onto the Resident Evil franchise like his life depended on it! In addition, the gang shares some spoiler-free thoughts on Maggie Gyllenhaal's The Bride, Backrooms, and Travis Knight's Masters of the Universe, while Alex declares his new found love for the filmography of Korean director Ryoo Seung-wan, including Humint, Veteran, I, the Executioner, The City of Violence, The Battleship Island, and Escape from Mogadishu! You can find Death Don't Do Fiction on Apple Podcasts, Spotify, or wherever you get your podcasts. As always, if you enjoy the podcast, be sure to leave us a positive rating, subscribe to the show, and tell your friends! The Death Don't Do Fiction podcast brings you the latest in movie news, reviews, and more! Hosted by supposed “industry vets,” Alex Harris and Tim Gardiner, the show gives you a peek behind the scenes from two filmmakers with oddly nonexistent filmographies. You can find Alex on Twitter, Bluesky, or Letterboxd @actionharris. This episode's guest, Gordon Jones, can be found on instagram @heyitzjonesy. Tim can't be found on social media because he doesn't exist. If you have any questions or suggestions for the Death Don't Do Fiction crew, they can be reached at aiptmoviespod@gmail.com, or you can find them on Twitter or Instagram @aiptmoviespod. Theme song is “We Got it Goin On” by Cobra Man.

Adam and Josh review Steven Spielberg’s Disclosure Day, praising star Emily Blunt and the impeccably staged action while questioning whether Spielberg and screenwriter David Koepp’s spiritual sequel to Close Encounters of the Third Kind captures the same sense of wonder. Then, Adam (finally) reviews the hit live-action/CGI hybrid The Sheep Detectives, plus Massacre Theatre. This episode is presented by⁠ Regal Unlimited⁠⁠, the all-you-can-watch movie subscription pass that pays for itself in just two visits. Use code FILMSPOT26 to take 15% off. (Timecodes/chapters may not be precise with ads.) Intro (00:00:00-00:01:50) Disclosure Day (00:01:51-00:45:09) Filmspotting Family (00:45:10-00:51:34) The Sheep Detectives (00:51:35-00:57:35) Notes (00:57:36-00:59:40) Massacre Theatre (00:59:41-01:03:32) Credits / Releases (01:03:33-01:05:53) Links: -Filmspotting Fest II: June 27-28, 2026⁠ ⁠ ⁠https://www.filmspottingfest.com⁠ -Movie Death Match Podcast: Close Encounters vs. E.T.⁠ ⁠ ⁠https://www.filmspotting.net/episodes⁠ Feedback: -Email us at feedback@filmspotting.net⁠⁠ ⁠⁠⁠⁠-⁠Ask Us Anything⁠⁠⁠⁠⁠ and we might answer your question in bonus content. Support: -Filmspotting Shop for T-shirts and more.⁠ ⁠ ⁠https://www.filmspotting.net/shop⁠⁠⁠⁠ Follow: -Watch Filmspotting on YouTube: ⁠https://youtube.com/filmspotting⁠ -Adam/Filmspotting: ⁠Letterboxd⁠ |⁠ Instagram⁠ |⁠ Facebook⁠ | ⁠Bluesky⁠ -Josh/LarsenOnFilm: ⁠Letterboxd⁠ | ⁠Instagram⁠ |⁠ Facebook⁠ | ⁠BlueskySee omnystudio.com/listener for privacy information.

Spielberg, aliens, and a CGI fox that should be tried for war crimes. Welcome to Disclosure Day.Cupcake and Mike review Steven Spielberg's Disclosure Day, starring Emily Blunt, Josh O'Connor, Colin Firth, Colman Domingo, and Eve Hewson — a North by Northwest-meets-Close Encounters conspiracy thriller about what happens when the government finally admits aliens are real. Written by David Koepp, scored by John Williams, shot by Janusz Kaminski — this is about as classic-Spielberg a creative team as it gets. So why does this conversation get so heated? Is Spielberg "too old for this"? Why are Mike and Jose deeply split on Emily Blunt and Josh O'Connor performances? Is the third act really the humanity unifying resolution or did a legendary filmmaker shit the bed? Spoiler free for your pleasure! - - - - - - - - - -WE ARE WATCH SKIP PLUS!FOLLOW/LIKE/SUBSCRIBE/REVIEW/LOVEEmail us: WatchSkipPlus@gmail.comBe kind. Be open. Be vulnerable. That's where the art is───────────────────────────────SOCIAL MEDIA: FB: https://www.facebook.com/watchskippluspodIG: https://www.instagram.com/watchskipplus/X: https://twitter.com/watchskipplusCHECK OUT THESE PODCASTS! 

Peacock has handed Dungeon Crawler Carl a straight-to-series order, and this one is locked in. No pilot, no waiting to see if it sticks. In this episode of Geek Freaks Headlines, we break down the greenlight, why the project went live-action instead of animated, and the single thing author Matt Dinniman did to make sure the show would actually look good before signing off.We also get into the San Diego Comic-Con panel that should reveal a lot more about season one, plus a quick personal check-in on the Dungeon Crawler Carl reading journey so far. If you have been following this story since the rights deal first surfaced, this is the payoff moment fans have been waiting on.Timestamps0:00 Peacock officially greenlights the Dungeon Crawler Carl series0:14 The animation vs. live-action debate and Matt Dinniman's response0:20 The Princess Donut CGI test that locked in the greenlight0:31 The San Diego Comic-Con panel with Chris Yost and Matt Dinniman0:38 Personal reading update and joining the Carl fan communityKey TakeawaysPeacock ordered a full first season, not a pilot. The project is fully confirmed and moving forward.The biggest fan complaint from previous coverage was that the show should have been animated rather than live-action.Dinniman addressed that head on, saying he would not let the project move forward if the CGI looked bad.CGI work was already done on Princess Donut, the most prominent CGI character, to prove it would hold up. That test is what cleared the way for the greenlight.A Comic-Con panel with Chris Yost and Matt Dinniman is on the schedule, likely bringing season one details.Memorable Quotes"It's official. Dungeon Crawler Carl series just got greenlit over at Peacock.""He was not going to let this project happen if the CGI looked bad.""Matt himself is the one that said the CGI is good enough for the show to happen."Call to ActionIf you are as hyped about this as we are, do us a favor and hit subscribe so you never miss a Headlines drop. Leave us a review to help more geeks find the show, and share this episode with the Carl fan in your life. Tag us with #GeekFreaks when you do.Catch every story we cover at GeekFreaksPodcast.com.Follow Geek FreaksFacebook: facebook.com/thegeekfreakspodcastThreads: threads.net/@geekfreakspodcastPatreon: patreon.com/GeekFreakspodcastHost: Frank at @franklourence79Listener QuestionWhat do you want to see most from the Dungeon Crawler Carl series, and are you team live-action or did you want animation? Drop your questions and we may answer them on a future episode.Dungeon Crawler Carl, Peacock, Matt Dinniman, Chris Yost, Seth MacFarlane, Fuzzy Door, LitRPG, Princess Donut, live action adaptation, San Diego Comic-Con, SDCC, sci-fi TV, fantasy TV, book adaptation, Universal Global Television, geek news, pop culture podcast, Geek Freaks, Geek Freaks Headlines

This week we have a full house for our next movie installment: Beck, Tyler, and Cam join Alex to talk about the joys and pains of 2000's Nic Cage vehicle Gone in 60 Seconds, and the 1974 cult film of the same name that loosely inspired it. The crew discuss how each of them came to the movie (or both, as the case may be); expose their divides of opinion early; wantonly throw around the term "masterpiece"; marvel at the huge budget divide between the old and new films, just one of the many massive differences; lament the painfully cringey car dialogue; discuss fair payment for a job done; differentiate between "nighttime" and "hot time"; and confess to some Eleanor-based confusion.And then, on to the cars. What perspective has 26 years of hindsight given us on which cars got boosted and which didn't? How was no one worried about security in a circa-2000 Ferrari warehouse? Where does the modern move sit in the pantheon of films involving car chases in the LA River. Exactly how bad was CGI in 2000? Our rowdy group of cig-rippin' drug-thievin' miscreants closes by talking about Angelina's hair, other elements that don't hold up, and some of their favorite cars in both movies.Got suggestions for our next guest from the BaT community or an idea for our next game episode? Let us know at podcast@bringatrailer.com!

In this episode of Need Some Introduction, Darren and I discuss Steven Spielberg's Disclosure Day and then break down the season finale of Apple's Widow's Bay. We talk about Darren seeing Disclosure Day with his kids, praising Emily Blunt, the action direction, John Williams' score, and debating weaker modern CGI, the film's convenient plotting, and its earnest, '80s-throwback tone. We then dive into Widow's Bay's finale (directed by Hiro Murai, written by creator Katie Dippold), including Ruth and Tom's emotionally exhausting house sequence, the discovery of old sacrifice films in Shelter #3, ration shortages, teens triggering a sacrifice that ends the storm, Basheer's pivot and confrontation with Tom, the reveal that Evan is the true “Descendant,” and the bell still ringing eight more times. We close with favorite episodes and preview covering The Agency and The Bear next. Join our Patreon for more Content https://www.patreon.com/cw/NeedsSomeIntroduction Mailto:needssomeintroduction@gmail.com 00:00 Podcast Intro and Finale Setup 00:45 Patricia Wins the Poll 01:45 Apple Sci-Fi Slate Preview 02:54 Disclosure Day Reactions 08:34 CGI Quality Debate 11:00 Spielberg Themes and Vibes 17:49 Switching to Widows Bay 19:20 Finale Highlights Tom and Ruth 21:15 Tom Visits Ruth Breakdown 28:30 Photo Albums and Film Nostalgia 31:46 Shelter Three Chaos 36:04 Basheer Turns Believer 38:44 Dale Finds the Hidden Room 41:10 Sacrifice Film Breakdown 43:41 Who Knows the Ritual 47:10 Death Trap Chaos 48:13 Tom Poisons Ruth 49:45 Trolley Problem Debate 52:39 Evan Is the Last Warren 01:00:50 Kenny Feeds the Beast 01:03:26 Eight Bells Left 01:05:51 Season Two Mysteries 01:11:42 Favorite Episodes Picks 01:16:25 What to Watch Next 01:20:21 Sports Signoff Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Heath and Brandon travel into the future of 2009 with Emilio as they tackle Freejack. The boys discuss Mick Jagger, foot fetishes, dystopian futures, 1990s CGI, and Harlem Heat.Follow us on Instagram @thecakeeaterspodEmail us at thecakeeaterspod@gmail.com

Brian and Jeff welcome director/writer/producer BT Meza to discuss his new film Affection, released in theaters May 8 and on video on demand June 5. Meza connects horror and joy through his love of watching horror, recounts early influences like reading Pet Sematary and Jaws and watching The Exorcist, and explains how he began making work by constantly photographing and filming, including music videos. He describes getting Affection made through supporter collaboration, producer Austin Walk's advocacy, and persistence through pandemic delays. The conversation highlights filmmaking's collaborative demands, Affection's blend of sci‑fi and horror rooted in plausible technology, and its commitment to practical effects created by Slither effects artist Dan Rebert with no CGI. Meza discusses the three-character cast (Ellie, Bruce, Alice), themes of memory, identity, grief, and a tension driven by Bruce's need for certainty. Affection

In this episode, host Sandy Vance chats with Brad Schoffstall, Vice President of Health and Compliance Programs at CGI, and Dr. James Peake, Senior Vice President and former Secretary of Veterans Affairs and Army Surgeon General. They have a wide-ranging and practical conversation about what it actually takes to modernize data infrastructure at federal health agencies. With Brad's 35 years at CGI and Dr. Peake's 16 years, this is a conversation grounded in hard-won experience rather than theory. Today's conversation is a refreshingly honest and deeply practical perspective for anyone working at the intersection of government, healthcare, and AI.  In this episode, they talk about: Federal health agencies are running some of the largest healthcare operations in the world, with the VA equivalent in size to a Fortune 5 company Data silos created by contract-by-contract procurement are the primary barrier to AI-ready infrastructure at federal agencies Federated data platforms allow data to stay in its own repositories while being discoverable, mappable, and usable across the organization Policy is often the biggest obstacle to data sharing, and changing it requires executive-level support and shared governance Technology is the third most important factor in transformation; policy and business understanding come first and second CGI improved NHS Spine performance tenfold while reducing infrastructure to a tenth of its original size, saving a million euros in annual expenses Improper payments across federal health programs run into billions of dollars annually and represent one of the highest-impact areas for AI-driven improvement AI for AI's sake is not the answer; start with the business problem and work backward to the data strategy Start small with two or three systems, demonstrate value, and build from there rather than attempting a massive all-at-once implementation A Little About Brad and James: Brad Schoffstall has wide-ranging experience, deep knowledge, and skills in information technology. He has led multiple digital transformation efforts. He has 37 years of experience with a diverse set of architectures, operating systems, languages, and technologies. His experience includes enterprise architecture, cloud migration, and hands-on development. He also has significant experience in business development and project management. He has implemented large, complex systems on platforms ranging from mainframes to Microservices. He has successfully performed many solution architecture and SDLC engagements that include characteristics like high-volume processing, DevOps, and automation. He demonstrates expertise in multiple service-based secure architectures utilizing multiple application and enterprise solution sets, e.g., Data Driven, Microservices, Cloud, etc. Dr. James Peake is an American politician and former lieutenant general who served as the sixth Secretary of Veterans Affairs from 2007 to 2009. In 2004, he retired from a 38-year United States Army career, having served as the 40th Surgeon General of the United States Army. After retiring from the Army, Peake served as Executive Vice President and Chief Operating Officer of Project Hope,[4][5] a non-profit international health foundation operating in more than 30 countries. While at Project HOPE, he helped to orchestrate the use of civilian volunteers aboard the Navy Hospital Ship Mercy as it responded to the tsunami disaster in Indonesia and also as part of the Hurricane Katrina response aboard the Hospital Ship Comfort. Just before he was nominated Secretary of Veterans Affairs, Peake served as Chief Medical Officer and Chief Executive Officer for QTC, one of the largest private providers of government-outsourced occupational health and disability examination services in the nation. 

Death, Resurrection Power and Revival (1) (audio) David Eells, 6/14/26 Coming Baptism of Death Unto Life Pearl Harbor James Kehrli (David's notes in red) In December of 1984, about a week after I purchased an old 1940 Cadillac sedan, I was driving around thinking about times gone by, particularly the time before and during World War II. Suddenly I heard the Lord say to me, very softly, “It's 1940 and Pearl Harbor is coming up for the Church”. I thought about betrayal, warfare, death and awakening! I prayed to the Lord about it and He began to reveal to me more about Pearl Harbor. He reminded me of a scene from the film Tora Tora Tora in which one of the Japanese military leaders remarked, after their attack on Pearl Harbor, “I fear all we have done is to awaken a sleeping giant and fill him with a terrible resolve”. I thought about the Church finally waking up to her true condition. I thought about the terrible price our country paid in the 1940's to wake up to the realities of the world political situation. The price was human life, suffering, and destruction. But we did wake up. I thought about December 8, 1941, when we declared war against the Axis powers. Before that time, we were sending arms, supplies and money to our allies, but we were not sending men to help fight. We watched China, the Pacific Islands, France and much of Europe fall to Germany, Italy, and Japan, but we were not personally affected so we did not enter the warfare. It took a catastrophic event to wake us up. (His reference to waking up a sleeping giant reminds me of Tommy Hicks' End Time Vision and it becomes millions of people all over the world.) I prayed about and meditated on what I had heard until May of 1985, when I again heard from God during a baptismal service in our Church. The person to be baptized was an older lady who was quite concerned, even a little frightened, about being fully immersed. But she, after fifty years of disobedience and rebellion against God, desired to be baptized for the first time. Right before I was going to enter the water with her, a message in tongues came forth from my wife. The Lord gave me the interpretation by means of the following vision. This vision describes a future time of great hardship and great blessing for the Body of Christ. He showed me a deep harbor with blue-green water that was clear and calm. There was a Person in the water. This Person was not swimming or standing, but just floating in an upright position. He was motionless, like a sailing ship listing in a windless sea. Many Japanese Zero aircraft came in from the east and proceeded to dive-bomb and strafe the body in the water and the body began to slowly sink. Eventually, the body was entirely under the water. As he went down, I could see that there were many little people on this Body. As this Body sank deeper into the water, many of these small people jumped off just before they were about to enter the water. There were thousands of people jumping off and swimming away from this slow but steadily sinking Body. Some of these people jumped onto beds, which the Lord made clear to me were beds of adultery, and floated away, off to the left. Others jumped onto whiskey bottles and paddled away; still others jumped on books, while others swam off on their own strength. All of the people were floating, swimming or paddling in the same direction. I looked over in that direction, which was to my left, and I saw an extremely beautiful, gigantic woman, with skin and clothing of a deep reddish purple hue, standing solidly on the harbor floor. She stretched out her arms toward the sinking Body and got the attention of many as she very sweetly, seductively, and sincerely called out, “Come unto me all ye that are weary and heavy laden, and I will give you WHAT YOU WANT!” (As we know, God separates His people, and the tares and goats go to the left, as in this vision. This is the Great Harlot of Rev 17:1-5 And there came one of the seven angels that had the seven bowls, and spake with me, saying, Come hither, I will show thee the judgment of the great harlot that sitteth upon many waters; 2 with whom the kings of the earth committed fornication, and they that dwell in the earth were made drunken with the wine of her fornication. 3 And he carried me away in the Spirit into a wilderness: and I saw a woman sitting upon a scarlet-colored beast, full of names of blasphemy, having seven heads and ten horns. 4 And the woman was arrayed in purple and scarlet, and decked with gold and precious stone and pearls, having in her hand a golden cup full of abominations, even the unclean things of her fornication, 5 and upon her forehead a name written, MYSTERY, BABYLON THE GREAT, THE MOTHER OF THE HARLOTS AND OF THE ABOMINATIONS OF THE EARTH.) The people who were jumping off were in a panic, like rats leaving a sinking ship. Some scurried to higher ground on the Body, going from the shoulders to the ears and finally jumping off the top of the head right before it went under. It was clear that THEY DID NOT WANT TO LEAVE THIS BODY, but it was equally clear that they were not going down under the water with it either. The Body was now completely under the water, sinking steadily toward the bottom. Some of the little people hung on as it sank, but after a few seconds of holding their breath, they gave up, swam for the top, gulped a mouthful of air, and swam off toward the woman. The apparently lifeless Body sank deeper and deeper into the clear blue-green water. As it sank, I could see at the bottom of the harbor a beautiful, large, perfect Pearl - obviously of great value. It was supernaturally large and beautiful, lustrous, pure and round. As I watched, I could see the Body change shape from that of a single being, with little people desperately hanging on it, to many little individual people swimming deep enough to get to this beautiful Pearl. As they went deeper, many chose to quit and swim to the surface for air and life and then go over to the beautiful woman. All who quit diving eventually swam over to the beautiful woman. (The water puts to death the old man. They don't want to give up their fleshy life and die to self and follow Jesus.) Finally, I saw a number of these small people swim to the Pearl and touch it, and embrace it. But to do this, everyone who dove down reached a point when they realized that their own natural ability to hold their breath and dive deeper would not be enough. Those who dove down and touched this Pearl all came to understand that they would have to expend all of their natural strength before they touched and embraced the Pearl of Great Price. This did not keep them from diving down though, because the closer they got to the Pearl, the more of His beauty they saw. I saw many touch and embrace the Pearl and then immediately shoot straight up. As each of these little people shot up from the floor of the Harbor, each had the Pearl. As this group of individuals rose higher and higher, they all became one Body again. By the time these Pearl-laden people reached the surface they burst forth from the waters as one Body, the Body of Christ. These people were manifestly His own possession and they, in turn possessed the Pearl of Great Price, Jesus Christ Himself. (Gal 2:20 I have been crucified with Christ; and it is no longer I that live, but Christ liveth in me: …) As the Lord was showing me this beautiful picture, He spoke to me and said, “Even as Jesus came out of the waters of baptism, so My Body will come out of Pearl Harbor with a new and powerful anointing of My Holy Spirit, and a new and deadly power to fight the enemy”. He said that there indeed would come upon the Church of Jesus Christ a Pearl Harbor experience like the United States experienced on December 7, 1941. He said that when the Body of Christ begins to sink under the water, because of a soon-coming, devastating attack of the enemy, MANY will choose to desert our Lord Jesus Christ because they do not esteem the Pearl of Great Price (Jesus Himself) worth the price - death to their own selfish desires. They will not make the selfless effort of love to dive deeply enough to embrace Him because they do not love Him more than their own lives. Many will choose not to identify with what they assume is a defeated individual or group. They look upon themselves as winners and will not identify with a Jesus Who is apparently being defeated. They will choose to identify with the beautiful woman of the harbor who gives them what they want. As the vision revealed, many who leapt off the sinking Body because the woman of the harbor promised them success. Because of this, they went to her. Many others did not feel that it was necessary to pay such a high price to apprehend Jesus, and they felt that the beautiful woman would give them Jesus on their own terms. (This is the great falling away and like the parable of the seed and the sower; only one of the four held fast to the Word and bore fruit, 30-60 and 100-fold.) As the Body of Christ came out of the waters of death, the Lord said that His Body was now fully alive and would now fight the enemy with purpose and real anointing. (the coming Latter Rain anointing. Hos 6:3  And let us know, let us follow on to know Jehovah: his going forth is sure as the morning; and he will come unto us as the rain, as the latter rain that watereth the earth.) Also, His Body would now use only supernatural weaponry. He spoke so clearly to me about the weapons. He said, “Even as the United States entered the Second World War using conventional weapons to fight the enemy, and ended the war with the atomic bomb, a weapon beyond their comprehension; so My people will begin this spiritual war with conventional weapons in the Spirit, but by the end of this war to end all wars, they will be using atomic bombs of the Spirit”. The Lord made it clear that we will come out of the water equipped with God-given anointing to REALLY heal the sick, work miracles, and deliver those in demonic bondage. He also made it clear that before the warfare ends, we will be moving in a dimension of spiritual warfare that is unimaginable to us now. We will do greater works than Jesus did and we will see the demon hordes routed like never before. After this message in tongues and interpretation was given, my attention turned back to the woman who was to be baptized. Then the Lord said that the Pearl Harbor experience for His Church would be similar to this woman's baptism. I closely watched this baptism to see what the Lord meant. The woman was very nervous and quite afraid of going under the water. I assured her that she would be all right. After several moments of prayer and a short teaching on what baptism represented, she was plunged underneath the water. She came out of the water with her hands lifted up, praising God. I had not told anyone what the Lord told me about this woman's baptism, because I did not know exactly what was going to happen. When she recovered her composure, she began to testify about what had just happened to her. She said that she was extremely fearful at first, but that when she got under the water, a Beautiful Peace swept through her, and all her fear was gone. This beautiful peace became joy as she came out of the water, and she praised God for His great comfort, love and mercy. I believe that God was showing us that we need not fear what He will put us through. His purpose is to bring us peace, joy, cleansing and power. He was also showing us that His Church will go through a baptism. It is a baptism of the Body of Christ. It is a death and a resurrection. We must trust Him to bring us out of this watery tomb of death and into the glorious resurrection power of His Son. We must understand that a harbor is a place of SAFETY and REFUGE. (As we have been shown. Those who reject death to self will not find this place.) God's people who are involved in these events will need to be safe and protected. The Harbor of the Pearl of Great Price is the only harbor that will provide refuge and safety, and ALL who believe will be more than willing to pay the price of dying to their own desires. Pearl Harbor is the death and resurrection of the Body of Christ, being prepared to do His work in His way, with His heart. It is the final separation of David from Saul - the David Church being purified and separated from the Saul Church. It is the final AWAKENING blast of the trumpet of God to rouse His people for battle. It is the judgment that begins with the house of the Lord. It is the refining fire that separates the gold from the dross. It will be preceded by the Lord dealing with His true people to both survive and desire this final preparation for battle. It is the promise of unmatched power and purity: power over sin, power over the enemy, power to live a much more virtuous life, and power to glorify our Heavenly Father through Jesus Christ by the power of the Holy Spirit. Even now, God is dealing with those in the David Church, even as God dealt with David. Whenever David would start to fall asleep to God's purity and purpose, the Lord would abruptly DEAL with David to AWAKEN him. God did not waste this kind of effort on Saul because Saul CHOSE to be asleep to God and His desires. Pearl Harbor is a warning of betrayal and disaster. The Church in the past has gone through many Pearl Harbors of betrayal and disaster. Jesus was betrayed, killed, and rose again. English Puritans experienced Pearl Harbor in the early 17th century and survived because they could not obey the law that the Church of England tried to force them to obey. They fled England and eventually sailed to the New World, where they laid the spiritual foundation for what eventually became one of the greatest revivals in the history of the world. John Bunyan wrote Pilgrim's Progress at the bottom of the harbor as he was betrayed by his own country and thrown in jail for not attending the services of the Church of England and for preaching in a way that did not conform to this church's liturgy. Had he given in and done that which they asked, he could have been a free man. But for conscience sake he chose not to do so. Because of this uncompromising obedience to the Scriptures and to God Himself, he was able to rise to the highest place in the history of Christian literature. Today, he still blesses us with the fruit of that resurrection power. To those who are not awake and prepared, Pearl Harbor will come suddenly and tragically, as a thief in the night, and they will be swept away to Great Deception. (As we are seeing.) To those who are more open to the will of God than they are to pleasing religious men, it will be an expected ordeal, a call to arms, and a prelude to great victory. The initial stages will be the harbinger of the greatest move of God in history: the Greatest Revival and the greatest manifestation of Christian Unity that the world has ever known.   The Pearls of Great Price Marie Kelton - 1/6/23 (David's notes in red) In this dream, I was in Chicago, and I was walking away from my old house on the sidewalk. (Leaving the house of our mother Church is a sign of growing in spiritual maturity.) I met Thaddeus (God's gift) and Greg (watchful or vigilant), two people I went to school with. (God gives us helpers along the way, like the fruits of the Spirit and wisdom; we must listen to them.) Thaddeus was to my left and Greg was to my right. As we were walking, I asked Thaddeus what had happened to him because I saw that he had a cut on his finger. Thaddeus said that he had a paper cut. I said to him, “Those are the worst.” (Our gifts can suffer when we go contrary to the Word which is written on paper and is a sharp two-edged sword.) We were going across the street and there was a tan van waiting for us to cross so that it could turn right. A red truck was behind the van, waiting also. As we were crossing, I felt an evil spirit grab the back of my shirt to keep me from continuing to cross the street. Thaddeus and Greg continued walking across the street. (We shouldn't get separated from our spiritual gifts by any demon or fleshly influence.) The person in the tan van was getting impatient and turned and hit me with their car. (The demons will try to hold us back so that we fall under judgment.) In the dream I told the Judge (representing the Father) about the car that hit me. The license plate on the front of the van had 333 in it. (Jer.33:3 Call unto me, and I will answer thee, and will show thee great things, and difficult, which thou knowest not.) (This is on the front or before the van hits, so to stop this, we must seek the Lord for His direction and wisdom!) The scene changed and I was in a car. I don't know if I was driving or not. I realized I was wearing an old necklace, and I heard a voice say, “Pearls.” (If our treasures have become tarnished from age or the curse we must sanctify them with repentance and faith and drawing near to Jesus.) In the dream I thought of the parable of the pearl of great price. While in the car, the Lord was supernaturally changing the radio stations to speak to me through the songs. Every time He would change the song, one of the old pearls from the necklace I wore would burst and break and a new pearl would be in its place. (As we seek His face and ask for wisdom, He will give us new born again beauty and values.) I was so excited and asked the Lord to keep speaking to me through songs on the radio. (The Lord's Words are melodious, pleasing Words to our spirit man.)  Mat.13:45-46, Again, the kingdom of heaven is like unto a man that is a merchant seeking goodly pearls: and having found one pearl of great price, he went and sold all that he had, and bought it. An Experience of Power G. W. - 10/17/22 (David's notes in red) I was going through a time of what seemed like reflection. I kind of felt like my life had no purpose, kind of meaningless. I've been waiting so many years, and it seems like nothing is happening. I didn't feel sad or condemned by it, but rather just wondering what God's mind was on everything. (The Word had the answers but he couldn't stay under it for long and would seek a simple message that did not demand death to self.) So, I was just questioning what God's purposes were for me in my life and if I was missing something. I was really earnestly seeking God and wondering what am I doing? Is there something I'm supposed to be doing that I'm missing? I don't want to waste any talents even though I don't see myself as having any great talents or anything, but I know the Lord has given us all some. I want to be able to use them. Before I went to bed, my wife and I prayed to the Lord about these questions. I woke up in the middle of the night and went to lie down on the couch. As I was lying down on the couch, I don't know if I fell asleep or if I was awake, to be honest. I'm assuming I fell asleep for just a few minutes. It seemed like a dream but I could feel everything happening in my body like it was real. I could hear myself say to myself, “You are such a loser” (I felt like it meant that I was not good for anything, meaningless life, etc.). (“We can do nothing without Him” but “We can do all things through Him”. His power is made perfect through our weakness. This revelation comes before the experience below.) Immediately, after that was said, this incredible Force picked up my entire body. Not even the strongest human on Earth would be able to resist this Force. My body was powerless, as I had no control over my motor functions. However, my consciousness was still there, and I was completely aware of everything that was going on from an observing point of view. This Force was moving me across the ground, as if I were a floating object. I then noticed something that the Force was moving towards. As I got closer, I knew that it was a shadow in the shape of a man. As the Force brought me directly over the shadow, I shot up in the air like a rocket! The Force moved me with such extreme velocity and an incredible amount of G-Force. It felt like my body was shaking like an earthquake (The Lord was showing him that He comes in those who will, through death to self, give themselves over to His Word and power.), as I was going straight up into the air. It seemed like the shadowy figure was what made the Force shoot me directly up in the air. I was shaking so excessively that it seemed to be contorting my face, as if soaring up through the air. I then seemed to come either out of the dream or into an earthly reality. I started to think normally, and I thought, is something wrong with me? What is happening to me? The Force started to wind my body down, and it began to become less intense. It shook me so hard that I could still feel it in my physical body, as I either woke up or came into complete consciousness. I started meditating on what had just happened. I thought about the shadowy figure. The only thing that kept coming to me was Trump. I have no idea why I felt this way. It might have looked like him, I'm not for sure. I don't think about Trump a lot, so it was very unusual for me to think that. (He is typed by Cyrus, who conquers DS Babylon, just when the Man-child is anointed over the Kingdom by the King. Cyrus is a shadow of Trump. Cyrus makes it possible for the Latter Rain Man-child to come and release the captives, as in Isaiah 61. So the shadow person could represent both of these entities ruling under God as the verse he received. The refuge here will be formed and our new provisions to reach the world will come.) I have a Bible App that I check every morning and it sends me a verse of the day. I opened the App and looked at the verse, it said “whoever dwells in the shelter of the most high will rest in the shadow of the almighty”. I was amazed that it had the word “shadow” in the random daily verse!   Resurrected Back to Life D. L. - 05/24/2016 (David's notes in red) In a dream, I was observing a group of about 12 people standing somewhat together. All of them had grey hair that was tending more toward the white. (This could be the 12 Man-children from UBM we have had many dreams about and who have been spiritually resurrected.) Then in walked a tall man who walked directly to the group and to a woman in the middle, whom I understood to be his wife. But he had died some time ago and had been buried at that time. (This is a repeat of history called the “out resurrection” by Paul in Phl.3:11 If somehow I may attain unto the out-resurrection from the dead. This is in the most accurate Numeric English New Testament. Here it is in history. Mat.27:50 And Jesus cried again with a loud voice, and yielded up his spirit. 51 And behold, the veil of the temple was rent in two from the top to the bottom; and the earth did quake; and the rocks were rent; 52 and the tombs were opened; and many bodies of the saints that had fallen asleep were raised (Many of these were just dust by the time of this out-resurrection. All of these have a purpose in God's work); 53 and coming forth out of the tombs after his resurrection they entered into the holy city and appeared unto many. 54 Now the centurion, and they that were with him watching Jesus, when they saw the earthquake, and the things that were done, feared exceedingly, saying, Truly this was the Son of God. What a witness of the resurrection to these people! This partial resurrection will be worldwide. As a witness G.C. was resurrected after being dead and buried for 8 ½ months. He came walking into his kitchen to greet his wife. Six people were resurrected that day in a moment.) D.L.- Now, she was no longer a widow, but no one showed any emotion. (These men would have also been resurrected, so it's no surprise to them.) He just walked over to where she was and started talking to her. In the next scene, they were in a room off to my right, standing there talking. Then I woke up and it was almost 4:30 am. As I was waking up, I was still in the dream state and heard a knock at the back door, which is near the bedroom, and I opened the door. It was light outside and there stood my brother Darl, who had been dead since October of 2009 and was cremated. (Cremation is the fast oxidation of the body. The normal rotting of the body is slow oxidation. Both are just dust but God can bring them back.) He had brown hair but the last time I saw him it was white. He said he was on his way to Charlotte, NC to see his daughter and just stopped by to let me know he was around. He said he had a car and plenty of money to do what he had to do. Then he walked away and when he got about 20 feet away, I asked him if he was going to see our five children. And he said yes and that it was in his schedule. End of dream. (They have a God-given schedule for the revival. Could this be a secondary meaning to Paul's words? Php.3:10 that I may know him, and the power of his resurrection, and the fellowship of his sufferings, becoming conformed unto his death; 11 if by any means I may attain unto the resurrection from the dead [Numeric pattern is in “the out -resurrection from the dead”]. 12 Not that I have already obtained, or am already made perfect: but I press on, if so be that I may lay hold on that for which also I was laid hold on by Christ Jesus. Paul and others of his caliber will be among them.)   What's the Motivation of Your Heart? Sandy Shaw - April 2016 (David's notes in red) In this dream, the first thing I see is a white brick fence. People are walking on the fence. Some jump on the left side, and then they jump back on the fence. Some jump on the right side, and then they go back to the fence. And this is going on continually with people walking the fence. Then I realized the left side is the way of the world and the right side is the way of the Lord. When I realized that, I heard, “I will spew you out of my mouth” (Revelation 3:16). (Which God spoke to the lukewarm.) Then I noticed a man was standing next to me. I didn't know who he was until he spoke and He asked, “How does this edify Me?” I immediately felt conviction and asked the Lord for forgiveness for having my own agenda. Then I saw a little girl in a house. (A little girl represents immaturity.) She was looking out the window as she saw her friends outside. She was sooo anxious to go with them. She ran to a closed door in the house and knocked on it. And on the other side of the door was her mom. She said, “Honey, I'll be out in a minute”. At this point, the little girl turned and looks out the window and turned around and knocked on the door again. And her mom said, “Wait for me. I'll be out in a minute”. The little girl ran to the big window and saw that her friends are in the next yard. She ran to the table and saw paper and a pencil. She wrote, “I'll be back in a little while. I'm going to play with my friends”. So Mom comes out and called for the little girl and saw that she is not there but she saw the note. Time has passed, and the little girl comes back and she says, “Hi, Mom!” And Mom says, “Honey, come and sit down”. The little girl says, “Mom, did I do something wrong? I left a note; didn't you see it?” “Yes, I did. But I asked you to wait.” “But my friends had gone to the next yard”. Mom said, “Now I know I need to give you punishment. First, because you didn't wait and your plans are not my plans for today. Therefore, you did not listen”. Next, I saw a big tree. I was sitting under it with the same man next to me. He said, “Examine the motives of your heart. Are your desires My desires? Are your desires lined up with My Word? Examine the desires of your heart. Is the agenda of your heart yours or Mine? Your motives, your heart, your agenda -- are they lined up with the Word? Am I your All-in-All?” Pro.16:2 All the ways of a man are clean in his own eyes; But the LORD weigheth the spirits. 4:23 Keep thy heart with all diligence; For out of it are the issues of life. Mar.12:30 and thou shalt love the Lord thy God with all thy heart, and with all thy soul, and with all thy mind, and with all thy strength. Psa.27:14 Wait for the LORD: Be strong, and let thy heart take courage; yea, wait thou for the lord. Isa.55:8 For my thoughts are not your thoughts, neither are your ways my ways, saith The LORD. 9 For as the heavens are higher than the earth, so are my ways higher than your ways, and my thoughts than your thoughts.   Surrendering Brings Swift Victory T.F. - 1/14/23 (David's notes in red) Suddenly, I felt the Lord's presence so strong in the spiritual realm. I then saw at that very moment, that in an instant, God could remove all the filth in my flesh and soul 100%, quicker than I could think, and He could manifest His presence 100% in my body and soul. I saw that it had already been done, and the manifestation could be done instantaneously. (The manifestation is progressive but it can be finished quickly. Php.1:6 being confident of this very thing, that he who began a good work in you will perfect it until the day of Jesus Christ. Psa.81:13 Oh that my people would hearken unto me, That Israel would walk in my ways! 14 I would soon subdue their enemies, And turn my hand against their adversaries. 15 The haters of Jehovah should submit themselves unto him: But their time should endure for ever.) I know many other brethren pray for God to manifest Himself in us fully (Eph.3:19 to know the love of Christ which passeth knowledge, that ye may be filled unto all the fulness of God.) We all want to be 100% dead to self, and my soul desires it so much for all of us. We know that, by faith, it has already happened and we will see it manifest in the physical realm. But, in that moment, when I saw He could do it all right then, my flesh got so terrified because it couldn't handle the presence of God that strong and that intensity so quickly. I desire it, and I know it will happen. But there is so much that I still have to let go of that isn't Christ, that God hasn't even revealed to me yet; so many hidden things. But God will reveal those things in His perfect timing, and I desire to let go of EVERYTHING that isn't Holy. I have thought that the complete removal of self in an instance would hurt because it is all I have ever known and His holiness replacing it would hurt if it happened without me being fully prepared. I felt that it had to be a gradual thing. I must let go of things bit by bit, and then the Lord can come and fill those spots, until there is nothing left but Jesus. I must keep letting go of my own carnal thinking, reasoning, and understanding and filling it with the Word and His Holy Spirit. (This is why God told the Israelites that every place that they set their foot in the Promised Land, He would give them. Because if He had wiped out their enemies all at once the land would have been overrun with wild beasts. So, He ordained that they conquer it a little at a time. Exo.23:28 And I will send the hornet before thee, which shall drive out the Hivite, the Canaanite, and the Hittite, from before thee. 29 I will not drive them out from before thee in one year, lest the land become desolate, and the beasts of the field multiply against thee. 30 By little and little I will drive them out from before thee, until thou be increased, and inherit the land.) I have felt and experienced what I would describe as my flesh surrendering bit by bit to the Spirit and the Word, but some parts still haven't surrendered completely and if it happened instantaneously, possibly my mind and body couldn't handle it. God's timing is perfect and we need to be prepared every day for an increase of Him in each of us in our soul and physical body. When we surrender to His Spirit willingly and surrender our whole heart to Him, it is so much easier for our body to submit. (1Co.9:27 but I buffet my body, and bring it into bondage: lest by any means, after that I have preached to others, I myself should be rejected.) Yes, I want the complete manifestation and deliverance from all evil in my soul and body, but I realized that it is a progressive thing, so that my physical body can handle it. God doesn't give us more than we can handle. God wants His Son to completely manifest in each of us. I can see Jesus growing and increasing in the brethren more and more, and it is so beautiful to witness. After experiencing this, I have felt so much closer to God and that every day we are getting closer and closer to Him manifesting in us fully. Every day, whether we see it or not, we are dying to self in some areas and He is coming into us more and more than the previous day. (Joh.3:30 He must increase, but I must decrease.) Everything is His grace and can only be done by His grace. It is all because of Jesus. ALL Glory and praise to Our Father and Lord Jesus forever and ever! Lord, let us all willingly surrender to Your Spirit in all areas of our existence. Allow us to love You more and to rest in You, accepting Your grace and allowing You to flow through us. Thank You Lord, that Your grace is beyond anything we can comprehend. Thank You that we can do nothing without You, but we can do everything through You. Thank You that it's not us living, but Christ living in us. Thank You that we are dead to self and alive unto You, God in Christ Jesus. Thank You that Jesus has set us free from the law of sin and death! Thank You, God that it is all You for all eternity! (My husband prayed and saw a young fruit tree - ambitious to bear hundreds of fruits, but not yet mature to do so. As the branches grew, buds formed all over and flowered. In time the tree was able to bear the amount it could handle.) Empty Me, (for Jesus) Debbie Fensky – 10/24/19 On Wednesday morning, October 23, I was awakened at 4:13 a.m. by a loud voice. I had fallen asleep on our sofa, and Denny was in the bedroom. My first thought was that he was yelling to me to get up. But when I looked at the clock, I saw it was too early to get up to get ready for the morning meeting. My mind cleared enough to realize that it was not Denny's voice. It was the voice of God or the voice of an angel of the Lord. And what He spoke was not in words I recognized. And it was really loud! It sounded to me like two words were spoken. I asked Father to let me know what He was saying through these words. I immediately heard, “Empty,” and He continued speaking. “This is the word for you, My people. Empty! The time is now to be empty! I am still uncovering hearts. Will you spend time with Me? For your hearts, your very life, is the temple in which I dwell. Do you know that you represent My authority? Do you truly know? Know this, that I know your name, for you hold My Name. I am going to bring back much truth to remembrance and reveal spiritual to spiritual. (The disciples related that this happened after Jesus died and was resurrected.) You are My spiritual people, and I want to continue working a spiritual work and a deep work in you and among you. And My authority will be upon you as you allow the spiritual light and truth to pour forth into your heart, and your mouth will speak deep things of My Spirit; things I have taught you. And people will know these things are true. But, My people, there is still some emptying out that needs to take place. For yea, I am cleaning you up. I am making you clean. Only be empty. Empty your hearts and yourselves of all your belongings, longings, and your trifles. Yes, even your own nothingness. What you think of yourself is not important. Glory only in that you are in Me, and that I am everything in you. I have a job to do through you. I have chosen you to be My humble, My emptied out, and cleaned up vessels. But I am letting you know the time is short. And I still need room for total residence.” I was moved by what Father said. And I was intrigued and wanted to know how “empty” was pronounced in the Hebrew. And I wondered if it was two words. So I tried something - I looked things up, asking God to lead me. In Hebrew, “empty” is “tohu bohu.” That was about the length of the words that I heard spoken to me so loudly. Some “empty” definitions: decant, lay bare, empty, raze, spill Strongs Hebrew 7386 adj; rake, empty, vain. Much that we give ourselves to is nothing; only vain. Strongs Hebrew 8414; formless, confusion, unreality, emptiness, desolation, empty space It said, properly spelled, it is, “tohuw bohuw.” And somewhere in all of this belongs, “tohu wa-bohu.” And this meaning (Heb), wasteness, that which is laid waste, desert, emptiness, vanity. But, “tohu bohu” is parallel to Isaiah 34:11, confusion, emptiness. Speaking about God's wrath against the nations, which we want to have no part of. So God is still telling us to get things of Egypt out of us. Isa.34:11 “But pelican and hedgehog will possess it, and owl and raven will dwell in it; and He will stretch over it the line of desolation and the plumbline of emptiness.” Father, may we desire to become completely empty of ourselves and our personal correctness, all that is vain, so that Your plumb line finds us measuring up to the fullness of Your likeness in us, so that we do not fall behind and even become as one of the nations. God, we need You to help us give it all up. Thank You for Your grace to do what You are being so long suffering in telling us to do. We do want You fully and totally residing in us. Lord, in Jesus name, help us to keep the end in view! Amen. Eph.4:12-13 “until we all attain to the unity of the faith, and of the knowledge of the Son of God, to a mature man, to the measure of the stature of the fullness of Christ.” 1Th.5:6 “so then let us not sleep, as others do, but let us be alert and sober.” Get Ready for God's Great Reset! The One Word Order - Kolyah - September 14, 2021 Rhema Word … 9.13.21 … entrusted to Kolyah … released just prior to Yom Kippur “Little ones, are you ready for My hard reset of your world? It is best that you prepare now, for in an instant, of My choosing, the brakes on this runaway world will suddenly be applied down to the floor … to the foundations; bringing this global wickedness to an abrupt halt. When that happens, there will be a hard tossing about, with slamming, banging, and pain for those who are not braced, awake, and aware. (This reminds me of Eve's Dream of the US/China Train coming to a sudden halt.) Do you remember the report of the loud shrieks of horror and mourning that arose in Egypt's night, at the death of their firstborn? Truly, I say to you, it shall happen again on a worldwide scale, as I bring forth the disclosure of the truth that will shatter hearts, minds, idols, and strongholds by the power of truth that will not be held back, modified, or contained behind closed doors. The cries of anguish and despair will finally bring the level of breaking necessary for the people to realize how wickedly they have been deceived, and how eagerly they have ingested the poisons promoted by the deceivers. (On both sides. This could be the EBS that Trump and the Alliance have been planning, revealing the DS satanic crimes and the false Christian leadership.) They will think that ALL IS LOST, as they see the price that they have paid for their blindness, stubbornness, pride, and fear. As no household was untouched by the grief arising throughout Egypt at the time of the first Passover, so shall it soon be in your day. Only the households that heeded my warning and those, who obeyed My voice, will be spared the depths of the pain. The righteous will mourn and grieve for those around them. They will weep for those across the world, who will be writhing in unspeakable agony of soul in the realization of the pit into which they have fallen. I will allow the righteous to feel the pain of seeing the losses among those whom they love, but I will not allow them to go into the deepest depths of soul pain; only into the depths of intercession that will lessen the pain in others. My compassion will undertake. Have I not said that those who did not LOVE the truth would fall into deception? Too few believed My word regarding that matter. As I am the first Truth, whom they are to love, those who have had a shallow, fickle affection for Me will find out the grave consequences of being casual about truth and without true love … and the results of accepting, as fact, only those things that fit into their own grid … into their prideful grid of comfort and human knowledge. They will feel horrifically betrayed, and well they should. Their own souls have betrayed them, because their love of My truth, and of My reality was only partial. In the pain of their consequences, they will have the opportunity to exchange an appreciation of truth for a committed LOVE of the truth. Not only am I Truth and Love, but I am also Justice and Commitment. Human justice and convenient human commitment will be humiliated through what is to be revealed soon. The deep falsehoods in the human premises will be shattered as My truth comes down like a hammer. Truth will not come down as a soft rain, for rain requires years to erode rock and to move mountains from their place. There is no time for that now. A rock smasher and a mountain crusher are needed to awaken the sleepers and to expose the truth before all is lost. The Enemy has been working his plans with wicked brilliance. I have allowed it to unfold in order to entrap him, and all those who are in league with him. The lies, which have provided the glue to secure their wicked plans and mandates of unholy power, are about to be changed into a slime. That slime will be powerless to hold their deceptions together. The road, which has been cemented into place through their deceit, will begin to sink and separate. Where then, will they walk in their prideful power? Who will join them on that slimy road, once the truth is exposed? All this will come … but first the howls and the tears must come to soften the hardened hearts, and to bring them to the melting point in the laser light of hot Truth. My way is righteous and wise. You must trust Me. The fear of Me has been replaced with the fear of man. The awe of Me has been replaced with the awe of inventions and technology. The awareness of human vulnerability has been replaced with an awe of intellectual prowess and confidence. All of these strongholds of wicked false worship, and of arrogant disregard of Me … all the strategies designed to supplant and to replace Me … will be brought down into dust. (What? No Med-beds? The use of AI, CGI, and high-tech devices.) It is good to be down on your knees in this hour, as the final round of increased shaking takes place. On your knees, you will be properly positioned before Me. Those on their knees will not be knocked down as the world rocks. Their personal kingdoms will not fall down upon their heads. The posture of submitted humility will be the place of safety for those who seek Me, and who abide in Me. But be advised: what is about to take place will greatly disquiet your souls. Do not allow the pain you see manifesting in the multitudes, nor the shrieks of those you love, cause you to mistrust or to despise Me. Trust Me that the process I bring forth will set My Great Harvest into place. Go to your knees soon, and remain in a spiritual posture of humility before Me as these days unfold. The Enemy of your souls will put up an even greater fight to retain power, and to seize even more. I have already declared the boundary set against this advance and have put that boundary into place. It will not be moved by him, nor by any of his associates. It will stand firm, for I have decreed it. (The boundary is the Bride. As in my vision of 2007, the boundaries of the catastrophes were the refuge.) Get out of the way of what I am about to allow and do. Move into a place of safety as I direct you. Do not fear and do not depend upon your own survival strategies. Simply abide in Me and be well. I will not allow more than you can handle. Have I not entrusted the words of truth in Psalm 91 to be a holocaust blanket, and a sure safety to surround you? Declare those words and find safety in the shelter of those promises. Know that the wailing of the masses will seek to disquiet you; to take you into fear and doubt. Don't go there, but rather profess your faith and stay in the Spirit at all times. Lock down in Me and hold. Gather in those who are standing, but who are weakening. Be a support of faith for each other. Share the treasure and the provision which I have given to you for this hour. What I provide will be more than enough. Entrust your troubled heart to Me. I will hold it securely and will fill it with all the love and hope you will need. Know this: I am fully in control. There is NOTHING out of My hand, plan, or notice. There will be many who have been on the fringes of faith, who will declare that My way is NOT GOOD. They will feel the horror of the unveiling, and then cry out that I am cruel for allowing such things. I AM MORE compassionate and patient … more loving and kinder than any of you can fathom. My path is a hard one, because the rebellion is very deep and widespread, consuming a great portion of humankind. (Stripes that wound cleanse away evil.) Unless there is a clearly visual manifestation, revealing where the influences of rebellion and deceit have taken your world, the changes in hearts will be only temporary and shallow. There are lessons to be learned. There are people to be reborn. There are powers of great evil embedded into every facet of human life that must be disclosed and stripped. As a result, these painful measures are necessary. I will allow only the smallest level of suffering required to bring the vital changes. The length and depth of human suffering will be determined by the speed at which the hearts and minds submit to the purpose of the shakings. See to it that you lovingly, clearly, tell the ignorant and the arrogant the truth about what is happening, and about what will yet happen. If you do not speak the truth to them, the hollow spaces formed within their human souls because of the shaking will be quickly filled with more lies, bringing more rebellion and more defiance against me. Cooperate with My plan to bring a Great Awakening, and see the Glory come to your world as a result. Hold on tightly to Me. The most violent shaking is about to come. (Spiritual and physical! In the warfare that is coming, there will be violent earthquakes which they are very capable of making; to say nothing of the nukes going off.)HOLD! Rest in Me, and do not withhold the truth from the terrified and perishing. The deceptions that have held them are about to crack. The trauma and terror of it will bring forth good fruit as we work together. All will be well. Trust, stand, obey, and believe. I am with you, and I am in charge. In the final analysis, you will bless Me for what I am about to allow, as well as that which I am about to bring forth from My own hand. Hold, and thank Me in advance for the glory which is soon to come to your world to change everything.” At the time we received this last revelation in 2021, a year after COVID-19 and the DS death jab. We prayed for people who took the shots and saw healings. We prayed for those who were infected by those who got the jab and saw healings. We know worse plagues than the DS's vax are coming. We have prayed for lost friends and seen healings. Some people who got the shots got placebos and showed no infection. Some only got the first shot and show less trouble. Cry out for mercy and God answers. The revival of the Man-child ministries will heal many when they believe. Mark 11:24 is still true. Mar.11:24 Therefore I say unto you, All things whatsoever ye pray and ask for, believe that ye receive them, and ye shall have them. Like Esther, intercede for your family and the people of God that they repent and accept God's word and turn this thing around for them. Many times God changes a decree when touched by faith. Pray for your loved ones and cover them. All things are possible to him that believeth. Like the woman who, in rebellion, finally decided to get baptized, and shared her experience of the extreme fear she felt before she was submerged in the water, which was replaced by a beautiful peace and joy. That's what's coming for those who obey and surrender to the Word of God. The power of the Holy Spirit will fill those who repent and obey.   Prepare, I Come Quickly Eve Brast – 8/20/18  Yesterday, as I was working, around 11 am, the Lord spoke to me very clearly, “I come quickly... Go, My daughter, and write the things I speak and warn My people.” So I grabbed my notebook, and He said, “In a very little while you shall see Me. I come quickly. Tell My people to enter into the secret places of their hearts and cry unto Me for purity and holiness; to press into the voice of My Holy Spirit. Listen to My voice in the quiet place. Soften your hearts to My corrections. Cleanse yourselves of all defilement of flesh and spirit. If your hearts are pure and willing, I will fill you with My power to overcome. Separate yourselves from distractions and the useless things of this world and this life. There is so little time left. So little time!! Seek Me with all your mind, will, and strength and I will be found of you. Don't faint in the day of adversity! Many judgments and terrible things are coming. Do not get weary of seeking Me daily. Do not grow weary of sanctification. Be diligent to be found in Me. When I return and judgments fall, will you be found in Me? Your adversary is increasing his activities, especially against My holy ones, seeking to deceive and destroy as many as will listen to his lies. All idolaters will fall. Wherever idols are found, the enemy will gain access to your souls. The idol of self is the biggest deception. You sit on the throne of your own hearts and are deceived by your own mind, will, and emotions!! Put on My whole armor and fight! Do not let down your guard even for a minute. Understand your enemy's tactics! He will use your friends, even your brethren, your family members, and your phones and electronic devices to keep you from obeying this word I speak to you. Resist the distractions and the cunning deceptions and lies. Do not listen to lies! Cast down every vain thing, every vain thought, or these will take root in your heart and mind and exalt themselves above Me and My Word. Then shall the scales cover your eyes and your ears will be stopped, and the deceptions will overtake you! You will not even recognize it. Go forth in intercession, void of distractions. Don't be slothful! Pray without ceasing and I will lead you to victory. You will be found in Me and the devil will have nothing in you. In this way you will live in the light of My truth. I will lead you forth in victory, conquering all your enemies. I have provided everything you need, but you must use it!” I asked Father for a text for this word by faith at random and my finger was on the phrase, “there is no respect of persons” in Colossians 3:25 (in context 1-25) Col.3:1 If then ye were raised together with Christ, seek the things that are above, where Christ is, seated on the right hand of God. 2 Set your mind on the things that are above, not on the things that are upon the earth. 3 For ye died, and your life is hid with Christ in God. 4 When Christ, who is our life, shall be manifested, then shall ye also with him be manifested in glory. 5 Put to death therefore your members which are upon the earth: fornication, uncleanness, passion, evil desire, and covetousness, which is idolatry; 6 for which things' sake cometh the wrath of God upon the sons of disobedience: 7 wherein ye also once walked, when ye lived in these things; 8 but now do ye also put them all away: anger, wrath, malice, railing, shameful speaking out of your mouth: 9 lie not one to another; seeing that ye have put off the old man with his doings, 10 and have put on the new man, that is being renewed unto knowledge after the image of him that created him: 11 where there cannot be Greek and Jew, circumcision and uncircumcision, barbarian, Scythian, bondman, freeman; but Christ is all, and in all. 12 Put on therefore, as God's elect, holy and beloved, a heart of compassion, kindness, lowliness, meekness, longsuffering; 13 forbearing one another, and forgiving each other, if any man have a complaint against any; even as the Lord forgave you, so also do ye: 14 and above all these things put on love, which is the bond of perfectness. 15 And let the peace of Christ rule in your hearts, to the which also ye were called in one body; and be ye thankful. 16 Let the word of Christ dwell in you richly; in all wisdom teaching and admonishing one another with psalms and hymns and spiritual songs, singing with grace in your hearts unto God. 17 And whatsoever ye do, in word or in deed, do all in the name of the Lord Jesus, giving thanks to God the Father through him. 18 Wives, be in subjection to your husbands, as is fitting in the Lord. 19 Husbands, love your wives, and be not bitter against them. 20 Children, obey your parents in all things, for this is well-pleasing in the Lord. 21 Fathers, provoke not your children, that they be not discouraged. 22 Servants, obey in all things them that are your masters according to the flesh; not with eye-service, as men-pleasers, but in singleness of heart, fearing the Lord: 23 whatsoever ye do, work heartily, as unto the Lord, and not unto men; 24 knowing that from the Lord ye shall receive the recompense of the inheritance: ye serve the Lord Christ. 25 For he that doeth wrong shall receive again for the wrong that he hath done: and there is no respect of persons. Deborah Fensky - 8/29/18 God started speaking this to me last week in a couple of the morning meetings and last Friday night's meeting. Since last Friday, after I was done receiving this word, several things were shared here and there that matched up with or seemed to me to confirm things in this word. I had been questioning God about Him being bitter. But then He reminded me that He hates, and how in so many places in the word, God expressed what and who His soul hates. He let me know that He can be bitter too. Then on the last conference call Michael asked everyone, “Can God hate?” Along with other things this week that have been said, I felt God was confirming this word to me. But I did ask Him today to confirm with 2 heads if I should share this now, or wait. I know other words have been spoken that we need to remember. Yet, today I tossed and immediately got 2 heads. “I am bitter toward My people. I am bitter with anger. Listen, My holy ones. Have I not said that I come quickly? I come quickly, with a strong vengeance. For My people disregard Me. They disregard My ways. They refuse to seek Me out, but stubbornly adhere to their own likes and desires. Yet, though I am bitter with anger towards My people, My mercy will cause Me to hear their cries of repentance. Hear My cry, My holy people. I need you. I need you to pray and fight for My lost and stubborn children. And I need you in this day to continually draw close to Me. Live in love and faith, and in the wisdom of My Word and by My Spirit. For though living in an evil day already, as I have warned, dark evil is soon to descend upon all the earth; a darkness so gross that the light of My Glory to shine forth, penetrating that darkness, drawing My lost people out of the world to the light. I am the Light. My holy ones, you are the Light. You in Me and I in you. The dark and evil day is upon you. Thrust all your faith in Me and Me alone. There can nothing be of yourself. Yes, the day you are about to enter is a day of deep darkness, but a day of My power. It is the day My Glory will be fully revealed in My holy ones. Have I not said, I come quickly? I need you to trust Me. I need you to make yourself ready. Make yourself ready!”

This week, Ben and Brose are visiting one of the most anticipated films of the year, Disclosure Day. The latest science fiction epic from the legendary filmmaker Steven Spielberg. Join them as they dive into the world of aliens, government conspiracies and human drama. With a wack of action and suspense. In this episode, they discuss the film's themes of hope and humanity and how Spielberg's approach to the subject matter resonates with audiences. They also explore the film's visuals, music and performances. Including the standout roles of Emily Blunt and Colmon Domingo. Our hosts share their thoughts on the film's pacing, runtime and whether it lives up to the hype. With a runtime of two hours and 25 minutes, this film is a must-see for sci-fi fans and anyone looking for a thrilling adventure. One of the standout aspects of the film is its ability to balance action and drama. Creating a narrative that's both entertaining and thought-provoking. The film's visuals are stunning, with a blend of practical and CGI effects that bring the alien world to life. The music, composed by the iconic John Williams, is impressive, while maybe not as iconic as Jaws and some of the many other collaborations with Spielberg. Listen to the full episode to hear their in-depth discussion and decide for yourself whether this film is a hit or a miss.See omnystudio.com/listener for privacy information.

https://lnk.bio/Jeditalk Episode 445 of Jedi Talk: A Star Wars Podcast! It's a solo Tom show tonight, but the does not stop him from reviewing a breakdown of the Theater Ears app director commentary on The Mandalorian & Grogu by Jon Favreau. There are some EXCELLENT references for inspiration, including one of our favorites in Star Wars: Fallen Order.   You won't believe what was practical and CGI as well.  Tom has a long conversation with our crabby podcast protocol droid, C4-T3, as well! Thanks for listening!  https://lnk.bio/Jeditalk

In front of an audience at the Newport Beach TV Fest, the prolific multi-hyphenate reflects on the evolution of his interests in animation, comedy and music; the longevity and future of 'Family Guy'; and why he insisted upon expensive CGI for Peacock's adaptation of his films about a foul-mouthed teddy bear. Learn more about your ad choices. Visit megaphone.fm/adchoices

What does it take to bring Grogu to life? This week on Skywalking Through Neverland, Richard and Sarah Woloski welcome Creature Effects artist, fabricator, puppeteer, stunt performer, and Star Wars performer Dawn Dininger. Dawn has worked on The Mandalorian and Grogu, The Book of Boba Fett, Ahsoka, Skeleton Crew, Captain Marvel, The Chronicles of Narnia: The Lion, the Witch and the Wardrobe, and Jurassic Park III. As one of the five puppeteers responsible for Grogu's performance, Dawn reveals how the team coordinates his movements, what new technology was developed for The Mandalorian and Grogu, and the challenges of creating believable creature performances on screen. She also shares stories from the Hollywood premiere, performing Grogu at the Academy Awards, her transition into stunt work, and her numerous appearances as Star Wars aliens including Rodians, Mon Calamari, and more. We also discuss the future of creature effects and the impact of CGI and AI on practical artistry. You can meet Dawn Dininger at Boonta Eve Special Edition on August 7 in Frisco, Texas, and attend Rebel Scum Con that same weekend. PODCAST SPONSORS Small World Vacations is an official sponsor of Skywalking Through Neverland. Contact them for a no obligation price quote at www.smallworldvacations.com. Tell them Skywalking Through Neverland sent you.

Irwin Winkler has spent more than six decades in Hollywood, producing films that have earned 52 Academy Award nominations and helped define generations of moviegoers. His credits include Rocky, Raging Bull, Goodfellas, The Right Stuff, and The Irishman, but the path that led to those films was anything but predictable.In this episode of Big Shot, hosts Harley Finkelstein and David Segal sit down with Irwin to look back on the twists, turns, relationships, and moments of good fortune that shaped his remarkable career. From the William Morris mailroom to launching an agency with Robert Chartoff, from representing Julie Christie to hearing Sylvester Stallone pitch Rocky, Irwin shares the stories behind a life spent at the center of the movie business.Along the way, he reflects on the people who changed his life, the opportunities he almost missed, and the unexpected chain of events that led from a kid growing up in Brooklyn to one of the most successful producers in Hollywood history.—In This Episode We Cover:(00:00) Intro(03:13) Growing up in Williamsburg, Brooklyn (07:11) Moving to the Sea Gate in Coney Island(08:26) Irwin's first attempt at NYU(10:22) Why he enlisted in the Army (10:55) Back to NYU after the Army(12:00) How he got interested in working for a talent agency(14:20) From summer mailroom gig at William Morris to full-time job (18:45) Climbing the ranks at William Morris(23:18) Leaving William Morris to work with Bob Chartoff (29:14) How Julie Christie helped launch his producing career(39:47) Meeting Sylvester Stallone and hearing the Rocky pitch(48:53) Rocky's reception and the reshoot that saved the film(51:48) How he started working with Martin Scorsese(53:54) Managing productions and safeguarding creatives(57:01) How Rocky II helped get Raging Bull made(59:45) Funding movies then vs. now (1:01:47) Irwin's thoughts on AI and CGI (1:03:14) The role of luck, hard work, and partnerships in his success(1:07:12) The story of meeting Jack Warner and the Six-Day War(1:10:21) Irwin's perspective on Jewish success in business and entertainment—Where To Find Irwin Winkler:• Website: https://winklerfilms.comWhere To Find Big Shot: • Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.bigshot.show/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/@bigshotpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  • TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.tiktok.com/@bigshotshow⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/bigshotshow/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  • Harley Finkelstein: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/harleyf⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ • David Segal: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/tea_maverick⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠• Production and Marketing: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://penname.co⁠

This episode of CLOC Talk Live from CGI 2026 features CLOC President & CEO Oyango Snell in conversation with Timo Karakashev, exploring the power of community, partnerships, and innovation in the legal industry. Together, they discuss how conferences like CGI create opportunities for connection, education, and business growth while expanding access to legal technology around the world. The conversation also examines the role of AI, the future of legal services, and why collaboration—not competition—is the key to building a stronger global legal ecosystem.

Janek Ambros is a filmmaker, producer, writer, and founder of Assembly Line Entertainment whose work has screened in connection with major festivals including Sundance, Venice, SXSW, and TIFF. As both a producer and director, he has built a career balancing the creative and business sides of independent filmmaking while helping bring a wide range of projects to life. In this episode, we discuss Janek's unconventional path from studying economics and interning at Morgan Stanley to building his own production company and producing award-winning independent films. We talk about his documentaries IMMINENT THREAT and MONDO HOLLYWOODLAND, the importance of editing as a storytelling tool, and why producing other filmmakers' work helped shape his perspective as a director. We also dive into the collaborative spirit of the legendary "Film Brat" generation, the influence of filmmakers like Francis Ford Coppola, Martin Scorsese, Paul Thomas Anderson, and James Cameron, and the current state of independent cinema. Janek shares his thoughts on practical effects versus CGI, the future of moviegoing, why comedy films have become increasingly difficult to make, and the importance of building communities of filmmakers who support one another. As always, we close the conversation with Janek's two favorite movie scenes and the lessons filmmakers can learn from them.   Hosted by Zef Cota Produced by Cole Howard

It's time for our second sequel on the podcast! Did Rick and Evie even want a kid? Does this plot make sense? Did Horace really die? Of course we have a full discussion of the infamous CGI.. you won't want to miss it!

What does it take to bring Grogu to life? This week on Skywalking Through Neverland, Richard and Sarah Woloski welcome Creature Effects artist, fabricator, puppeteer, stunt performer, and Star Wars performer Dawn Dininger. Dawn has worked on The Mandalorian and Grogu, The Book of Boba Fett, Ahsoka, Skeleton Crew, Captain Marvel, The Chronicles of Narnia: The Lion, the Witch and the Wardrobe, and Jurassic Park III. As one of the five puppeteers responsible for Grogu's performance, Dawn reveals how the team coordinates his movements, what new technology was developed for The Mandalorian and Grogu, and the challenges of creating believable creature performances on screen. She also shares stories from the Hollywood premiere, performing Grogu at the Academy Awards, her transition into stunt work, and her numerous appearances as Star Wars aliens including Rodians, Mon Calamari, and more. We also discuss the future of creature effects and the impact of CGI and AI on practical artistry. You can meet Dawn Dininger at Boonta Eve Special Edition on August 7 in Frisco, Texas, and attend Rebel Scum Con that same weekend. PODCAST SPONSORS Small World Vacations is an official sponsor of Skywalking Through Neverland. Contact them for a no obligation price quote at www.smallworldvacations.com. Tell them Skywalking Through Neverland sent you.

Send us Fan MailYour sheds can be built like a premium product and still get judged like a commodity if the photos don't match. From the first scroll on Google to the first click on your website, buyers are making fast decisions about trust, craftsmanship, and value based on visual cues, not just specs. We dig into the real psychology behind shed marketing images and why “good enough” photos quietly cost leads in a market where shoppers compare 10 builders at once.Ryan Glick from Crafted Generations joins us to break down what photorealistic CGI actually is, how computer generated imagery can look like a real-life photo, and why that realism matters for authenticity. We talk through the common problems in shed industry imagery, the difference between basic cut-and-paste Photoshop work and true photorealism, and how better visuals can elevate a brochure or catalog so dramatically it feels like a different company. Ryan also explains how modern workflows blend 3D modeling, scene creation, and careful craft to produce high-resolution images that hold up on websites, social media, and print.We also zoom out to the bigger story: shifting buyer behavior after COVID, the move from print to online advertising, and how small marketing upgrades compound into real ROI over time. Ryan shares how faith, mission work, and stewardship shape his view of business success, and we close with prayer over families, companies, and the industry.Subscribe for more real conversations with shed builders and industry pros, share this with someone who needs better visuals, and leave a review so more listeners can find the show.For more information or to know more about the Shed Geek Podcast visit us at our website.Would you like to receive our weekly newsletter?  Sign up on our website: shedgeek.comFollow us on Twitter, Instagram, Facebook, or YouTube at the handle @shedgeekpodcast.To be a guest on the Shed Geek Podcast visit our website and fill out the "Contact Us" form.To suggest show topics or ask questions you want answered email us at info@shedgeek.com.This episodes Sponsors:Studio Sponsor: Shed ProSolar BlasterCardinal ManufacturingDigital Shed BuilderVelocity 360

Avni Desai is a dedicated professional at CGI, where she brings a thoughtful blend of leadership, strategic insight and a people‑centered approach to her work. Desai shared her journey from clinical practice to technology and discussed how she tackles challenges after work, such as the emotional impact of "mom guilt" and the importance of setting positive examples for children. As a mother to two young children, she discussed balancing her professional commitments with a nurturing, intentional approach to family life. She also critiqued the lack of wellness and emotional regulation programs in school and advocated for teaching financial literacy and healthy habits early.  

Moana looks like it might massively underperform at the box office, according to box office tracking. The reasons are many. The trailer is underwhelming, getting ratioed on YouTube. The Rock looks weird as Maui, the movie looks very CGI and the animated version of Moana is only a decade old. Watch the podcast episodes on YouTube and all major podcast hosts including Spotify. CLOWNFISH TV is an independent, opinionated news and commentary podcast that covers Entertainment and Tech from a consumer's point of view. We talk about Gaming, Comics, Anime, TV, Movies, Animation and more. Hosted by Kneon and Geeky Sparkles. Get more news, views and reviews on Clownfish TV News - https://more.clownfishtv.com/ On YouTube - https://www.youtube.com/c/ClownfishTV On Spotify - https://open.spotify.com/show/4Tu83D1NcCmh7K1zHIedvg On Apple Podcasts - https://podcasts.apple.com/us/podcast/clownfish-tv-audio-edition/id1726838629 MORE CLOWNFISH TV - Official Merch Store: http://ClownfishMinus.com Facebook - https://facebook.com/ClownfishTV X - https://x.com/ClownfishTVcom Clownfish TV subreddit: https://www.reddit.com/r/ClownfishTVOfficial/ Disclaimer: This series is produced by Clownfish Studios and WebReef Media, and is part of ClownfishTV.com. Opinions expressed by our contributors do not necessarily reflect the views of our guests, affiliates, sponsors, or advertisers. ClownfishTV.com is an unofficial news source and has no connection to any company that we may cover. This channel and website and the content made available through this site are for educational, entertainment and informational purposes only. These so-called “fair uses” are permitted even if the use of the work would otherwise be infringing. #Disney #Movies #Moana #Podcast #Commentary #News #Reaction #Gaming #Comedy #Entertainment #Hollywood #PopCulture #Tech #Anime #FYP Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailWelcome to you heard it here last where we talk about news, you've already heard.https://www.bbc.co.uk/programmes/p06spb8wSeveral years ago, I stumbled across one of the greatest podcasts I have ever listened to. It was called the Lovecraft Investigations and it started with the Case of Charles Dexter Ward. I'm a huge fan of Call of Cthulhu and I've pretty much read all of Lovecraft over the years. Some good, some bad, but all of it steeped in the myth and mythos. Lovecraft was very good at atmosphere.This podcast was perfect. It felt like a real investigative podcast and with BBC 4 backing it the production quality was incredible. Over the next several years the Lovecraft Investigation podcast continued to slowly put out some fantastic episodes that really felt like you were in a Call of Cthulhu game. Then in 2023 it just stopped.Not a big surprise because podcasts stop all the time. But I was generally bummed.But good news does come to those that wait.https://www.backerkit.com/c/projects/julian-simpson/lovecraft-investigations-the-call-of-cthulhu?ref=bk-ads-ga-p-20&gad_source=1&gad_campaignid=23860975866&gclid=Cj0KCQjwz9_QBhD_ARIsADnSCfDc7zHCkZjWINm47NNyZOau7v-un5Z63IHEX0AHXiH66Pn_noXAb-AaAokFEALw_wcBLovecraft Investigations is coming out with Season 5. The Call of Cthulhu. This time they are going through Backerkit and all the original audio cast is joining the new season. They are offering digital downloads of the entire audio play as well as physical copies and extra books and items to make the entire thing special. If you haven't listened to the original BBC4 podcast do yourself a favor and do it, right now, then come back to the episode. But even if you don't want to go back and dive in you don't have to because the new Season 5 is designed for people who haven't heard any of the old episodes. I am stoked and yes I've already pledged.Christina, what do you think of audio plays like this? Is there a place for them in today's CGI world?[Kick to Christina]What about you Mike, did you ever listen to the original Lovecraft Investigations?[Kick to Mike]Up next, we have more Conan!https://ttrpgfans.com/new-conan-the-barbarian-rpg-books/That's right, our favorite…at least for now…roleplaying game Conan the Hyborian age has new sourcebooks coming to Kickstarter. The campaign hasn't launched yet, but it looks like we will get source books for Tortage which is a haven for pirates, thieves and smugglers in the Baracha Isles and Zamora the ancient land of dark sorcery and the home to the City of Thieves. Both of these settings I managed to avoid in our first campaign of Conan so as soon as I get my hands on these source books, we will visit Heliope, Drebu and the rest of our Hyborian friends again.Christina, what do you think about Monolith putting out sourcebooks for Conan?[Kick to Christina]Mike, this has always been your issue with new games, not enough lore. Does this new sourcebook get you pumped for more Conan?[Kick to Mike]And there you have it, all the news, you've already heard.

Welcome to our show discussing The Punisher special presentation on Disney+ from Marvel studios. The Punisher aka Frank Castle is in a bad head space... and then while we are getting our head around that but while still trying to work out when this is happening as continuity is confusing... he has a John Wick style one against 1000 fight and its violent and brutal... with some dodgy CGI and then its over... This was advertised as a special and was the length of an average episode of episodic TV; yet had the plot points and story of a film / mini series... Some very odd decisions in making this BUT we discuss it and hope you all enjoy our chat!

“[Ryan] Gosling ate this dude's lunch” - Andrew, on Justin Chatwin On this week's episode, the Summer Blockbuster Extravaganza keeps the Spielberg chatter going from last week with a hilarious talk about his 2005 sci-fi adaptation, War of the Worlds! Couldn't we have had some puppet aliens instead of those CGI guys? How fantastic is Tim Robbins playing this basement-dwelling lunatic? Should the boy have stayed exploded? How many of us would rather just turn to dust in this situation? And would this movie have been better with Eric as an extra? PLUS: Everyone say hi to Ray Ferrier's new Bayonne, New Jersey girlfriend, Cigaretta! World of the Worlds stars Tom Cruise, Dakota Fanning, Justin Chatwin, Miranda Otto, Rick Gonzalez, Yul Vazquez, Lenny Venito, Lisa Ann Walter, and Tim Robbins as Harlan Ogilvy; directed by Steven Spielberg.This episode is brought to you by ZVOX and their line of dialogue-boosting speakers and sound bars! Our listeners save 20% on any new soundbar when using our code: WHM!Come hang out in Vegas with us this summer as we do a three-night stand at ST:LV to celebrate 60 years of Star Trek and 10 years of The Nexus! We'll be at the convention Thursday, Friday and Saturday night doing three Nexus shows on Wrath of Kahn, Generations, and First Contact! Best part is, you don't need to have a convention pass to attend, each show is ticketed separately. Click through to snag your tix now!Be sure to visit the WHM Merch shop over on Dashery and check out all the latest show-related designs you can slap on t-shirts, hats, coffee mugs, stickers, whatever! Make your friends jealous by flaunting some WHM merch today! Original cover art by Felipe Sobreiro.

The dark side rises as The Commentary Booth hosts, Jamie Apps and Corrina Mabey, conclude their journey through the Star Wars prequel trilogy with a deep dive into Star Wars: Episode III – Revenge of the Sith.Widely regarded as the strongest entry in the prequel saga, Revenge of the Sith delivers the tragic downfall of Anakin Skywalker, the rise of Darth Vader, the execution of Order 66, and the birth of the Galactic Empire. But does the film truly earn its reputation, or is it simply the best of a flawed trilogy?Jamie and Corrina break down the film's darker tone, Shakespearean tragedy, and iconic moments, including Anakin's fateful turn to the dark side, Obi-Wan's heartbreaking confrontation on Mustafar, and Palpatine's masterfully orchestrated rise to power. Along the way, they discuss whether Anakin's visions of Padmé ultimately caused the very future he was trying to prevent, the effectiveness of Order 66, General Grievous' brief but memorable role, and how the film bridges the gap to the original trilogy.Highlights Breakdown: - Why Revenge of the Sith remains the standout film of the prequel trilogy - The inevitability of Anakin Skywalker's tragic fall to the dark side - Breaking down Palpatine's galaxy-spanning manipulation and long-term strategy - The emotional impact of Order 66 and the destruction of the Jedi Order - General Grievous, his unique design, and the surprising origin of his cough - Whether the story would have worked better as a prestige television series - The pair also examine the movie's biggest weaknesses, from its lengthy runtime and uneven pacing to some questionable CGI choices that haven't aged particularly gracefully. - Is Revenge of the Sith the masterpiece many fans claim it is, or simply a satisfying conclusion to an otherwise inconsistent trilogy? Join us as we revisit one of the most important chapters in Star Wars history.This week's episode is brought to you byAustralian Wrestling CardsCheck out more great content from Pario Magazine on our website.-------------------------------------------------------------SUPPORT PARIO MAGAZINE & THE COMMENTARY BOOTH- PATREON- BUY MERCH- AMAZON PRIME VIDEO- TUBEBUDDY- Subscribe to AEW Plus using my code (q0yydoz) to earn $10 in FITE credit- Shop Online With Honey- Shop Online With SatechiMY EQUIPMENT- Elgato Facecam- Rode PodMic- Elgato Wave Mic Arm LP- Streamlabs Talk StudioFOLLOW JAMIE ON SOCIAL MEDIA- Twitter- Facebook- Instagram- TikTokFOLLOW PARIO MAGAZINE ON SOCIAL MEDIA- Twitter- Facebook- Instagram

Primate (2025) Director: Robert Woods Cast: Johnny Sequoyah, Troy Kotsur, Victoria Wyant, Jess AlexanderA rabid chimpanzee. An infinity pool. Five absolutely useless young adults. What could go wrong? Everything. Everything could go wrong — and somehow, the chimp is still the most competent character in the movie.This week on Dewey Pod Monster, we're reviewing Primate (2025), the January horror dump that dared to ask: what if a family kept a chimpanzee as a pet in a cliffside Hawaii mansion, and then absolutely nobody made a single smart decision for 92 minutes? We dig into the practical effects, the logic leaps, and why a guy eating cold pizza in the dark while his family gets murdered is somehow the funniest and most baffling scene of 2026.In this episode, we discuss:

AI filmmaker and 14-time author Jason Moore joins me to unpack how artificial intelligence has reshaped the way he tells stories — without stripping out the creativity behind them. We get into a real client project that only became possible because of AI, his three guiding principles for using it well, and how he handles the inevitable wave of online critics. If you're curious (or a little nervous) about where AI fits into your video business, this conversation's for you. Key Takeaways AI works best as a collaborator, not a vending machine — the more of yourself you bring to it, the better the output. Some projects only exist because AI makes them affordable. In those cases, nobody actually loses a job that was never in the budget to begin with. Every big tech shift — Photoshop, CGI in Jurassic Park, even self-checkout — displaced some work while creating new opportunities for the people who adapted. Jason's "soul test": if you don't bring your own creativity and judgment, you get soulless results. The human stays in the driver's seat. About Jason Moore Jason is the author of 14 books on topics ranging from creativity and design to artificial intelligence. His most recent release, AI and the Church: A Clear Guide for the Curious and Courageous, is an Amazon bestseller that has sparked more than 150 national training engagements. In film and television, Jason has collaborated with Hollywood producers and created book trailers for New York Times bestselling authors including Arianna Huffington, Seth Godin, Robert Greene, Ryan Holiday, and Marc Ecko. A graduate of The Modern College of Design, Jason now returns to his alma mater as an adjunct instructor, alongside his work as a sought-after keynote speaker and trainer whose career bridges the worlds of creative production, ministry, and emerging technology. In This Episode [00:00] Welcome to the show! [05:58] Meet Jason Moore [12:06] AI Video Content [16:22] AI Video Package [27:47] Using AI Morally [38:23] Example Projects [48:35] Outro  Quotes "AI should be a 'do it with you' tool, not a 'do it for you' tool." — Jason Moore "You have a soul and AI doesn't. If you don't bring enough of your soul to your interaction with AI, you get really soulless outputs." — Jason Moore "I'm a human first, business owner second." — Ryan Koral "When the option exists, we're going to help more people tell stories in more compelling ways than we could in the past." — Jason Moore Guest Links Follow Jason Moore on Instagram | Facebook | X Links Find out more about the Studio Sherpas Mastermind Join the Grow Your Video Business Facebook Group  Follow Ryan Koral on Instagram Follow Grow Your Video Business on Instagram Get your Early Bird tickets for the Onward Summit Join the Studio Sherpas newsletter

Send us Fan MailA low-budget thriller shouldn't be able to rattle you like this, but Obsession does. We go spoiler-free on what made it hit so hard, why it felt scarier than a lot of bigger “horror” releases, and how a movie can build fear without leaning on CGI or cheap jump scares. If you're searching for a real-world Obsession movie review, an indie horror thriller recommendation, or just something worth leaving the house for, we get into exactly why it stuck with us after the credits.From there, we zoom out into movie culture: the A24 trust factor, Blumhouse-level momentum, and why theaters are getting packed again. We talk big formats like IMAX and 70mm, what's being marketed the hardest, and how nostalgia releases pull different generations into the same room. Then we pivot into something bigger than film: attention. Cursive disappearing, handwritten notes becoming rare, and the weird reality that people can record an entire concert on their phone and never watch it again.We also get honest about tech and money, from AI-generated podcast elements to subscription fatigue with YouTube Premium, Netflix, and all the bundles. The thread that ties it together is focus and presence: multitasking is mostly a myth, social media rewards performative living, and comment sections make people brave in the worst way. If you've felt distracted, overstimulated, or tired of the online noise, this conversation lands with practical truth and a lot of laughs.Subscribe for more unfiltered takes, share this with a friend who needs a new thriller to watch, and leave a review so more people can find the show. What's one habit you want to break: doomscrolling, recording everything, or paying for subscriptions you don't use?Thanks for listening to the Nobody's Talking Podcast. Follow us on Twitter: (nobodystalking1), Instagram : (nobodystalkingpodcast) and email us at (nobodystalkingpodcast@gmail.com) Thank you!

Happy Monday, everyone! To celebrate the start of the working week, we're looking at Star Trek episodes where people mess with the memories of our cast and put them through menial, awful work.O'Brien must continue to suffer in Hard Time, where he's lived through decades of prison time just for being a bit nosey. Can he deal with the mind-shattering prison sentence, or will he still be traumatised and we'll never speak of this after the episode's end?Then our main feature is a two-parter where the crew of Voyager are brainwashed into factory jobs (apart from Paris who couldn't even manage that). Watch the rivalry between the Emergency Command Hologram and Harry Kim! Janeway has a romance plot and there's some bad CGI!03:30 What Non-Star Trek Thing We've Been Enjoying: An anti-recommendation for Atlas Shrugged, recommendations for Bioshock, Charlie editing the Grand Comic Database09:02 Star Trek: Deep Space Nine “Hard Time”41:43 Star Trek: Voyager “Workforce”Talking points include: Poirot's facial hair, talking Miles down from reading Ayn Rand, Mark Morrison, No Gods No Mayors, a harsh burn from Miles, DS9 has a counsellor? What is Miles' middle name anyway? A bee gets loose in Charlie's room. Buffy. Farscape. Tek War. Isn't it good that prisons aren't run for profit in the real world? Prestige TV ghosts of the mind. David Cage wishes he could get this emotional. Bryan Fuller doesn't get weird with it. Tom can't even hack being a brainwashed labourer. Just be Janeway's consort, Jaffen! Charlie's upsetting second Voyager: Across the Universe playthrough. Anything can pull rank on Harry. Charlie got contacted by Jehovah's Witnesses. Oh, and occasionally Star Trek.Casual Trek is by Charlie Etheridge-Nunn and Miles Reid-LobattoMusic by Alfred Etheridge-NunnCasual Trek is a part of the Nerd & Tie Networkhttps://ko-fi.com/casualtrekMiles' blog: http://www.mareidlobatto.wordpress.com Charlie's blog: http://www.fakedtales.com

Scooby-Doo is officially back, and this time he is a real dog. Netflix just dropped the first teaser for its live-action origin series, Scooby-Doo: Origins, and the big reveal is an impossibly cute Great Dane puppy stepping into the role for the first time in franchise history. This episode runs through everything we know so far, starting with that puppy reveal and moving into the full Mystery Inc. lineup.The cast is stacked with Netflix talent. McKenna Grace takes on Daphne, Tanner Hagen plays Shaggy, Abby Ryder Fortson is Velma, and Maxwell Jenkins, fresh off Lost in Space, lands the role of Fred Jones. From there the breakdown covers the full premise, a final summer at camp, an orphaned puppy who may be the only witness to a supernatural murder, and a creepy mystery that threatens to expose everyone's secrets. The tone reads very Riverdale, which raises an eyebrow, but Netflix earned some goodwill with Wednesday, so there is real reason for optimism. Filming has been underway in Atlanta since April, the show arrives sometime in 2027, and yes, that means Scooby will be a big boy by the time it premieres.00:00 Scooby-Doo Returns Live Action00:15 Meet the Mystery Inc. Cast00:25 The Real Puppy Scooby Reveal00:33 Reading the Full Premise01:00 Riverdale Comparison, Atlanta Filming, and 2027 ReleaseNetflix's live action series is officially titled Scooby-Doo: Origins and tells the story of how Mystery Inc. first came together.For the first time in franchise history, Scooby-Doo is played by a real dog rather than animation or CGI.The cast features McKenna Grace as Daphne, Tanner Hagen as Shaggy, Abby Ryder Fortson as Velma, and Maxwell Jenkins as Fred Jones.The premise centers on a final summer at camp, an orphaned Great Dane puppy, and a possible supernatural murder the puppy may have witnessed.The Riverdale-style tone is a question mark, but Netflix's track record with Wednesday is a point in its favor.Production has been filming in Atlanta since April 2026, with a release set for sometime in 2027."It's a puppy version of it and it's so freaking cute.""Clearly I'm a dog guy.""Feels very Riverdale style. Comparing it to Riverdale kind of worries me, but Netflix did really good Wednesday.""We'll see how big Scooby gets by the time the actual show comes out. He'll be a big boy."If you enjoyed this one, subscribe so you never miss an episode, leave us a review to help more geeks find the show, and share this episode with a fellow Scooby fan using #GeekFreaksPodcast. Catch all of our latest geek news at https://geekfreakspodcast.com/Follow us and join the conversation:Facebook: https://www.facebook.com/thegeekfreakspodcastThreads: https://www.threads.net/@geekfreakspodcastPatreon: https://www.patreon.com/GeekFreakspodcastAre you hyped for a new Scooby-Doo series, or does the Riverdale comparison have you nervous? Drop your thoughts in the comments and we may read them on a future episode.scooby doo, scooby doo origins, live action scooby doo, netflix, mystery inc, mckenna grace, tanner hagen, abby ryder fortson, maxwell jenkins, daphne blake, shaggy rogers, velma dinkley, fred jones, great dane, geek freaks, geek freaks headlines, geek news, tv news, netflix 2027, hanna barbera, riverdale, wednesday, pop culture

Ben and Rob strap themselves into the feedback loop and jack all the way in to The Lawnmower Man, directed by Brett Leonard and starring Pierce Brosnan, Jeff Fahey, Jenny Wright, and Mark Bringelson. What begins as a deceptively simple fable about a gentle simpleton turbocharged into a god by virtual reality and experimental drugs slowly mutates into something far weirder; a conversation about the most chaotic production history in early nineties Hollywood, the strange economy of Stephen King's name and exactly what it takes for him to legally disown your film, the accidental genius of low-rent CGI as a vessel for genuine existential dread, and whether a movie about a lawnmower man becoming an omnipotent digital deity has turned out to be less science fiction and more uncomfortable Tuesday.What even is virtual reality as cinema understood it in 1992, and how does that fever dream vision compare to the surveillance-soaked, algorithm-shaped reality we actually ended up inside? How did this film pass through so many hands, studios, and creative crises that its very authorship became a legal battlefield? Is there something genuinely prophetic buried beneath the laughable polygon graphics and the mulleted hubris, or are we simply pattern-matching onto a movie that got lucky? Who is Jobe before the machines get hold of him, why does his innocence matter so much to the film's horror, and what is the movie actually saying about who gets experimented on and why? And why does a film this ridiculous, this campy, this thoroughly of its moment, still manage to leave something cold and unsettling lodged in the back of the mind long after the credits roll?And finally… What does it all mean?CONSUUUME to find out all this and much, much more!PLUS we have a Patreon with EXCLUSIVE content just for you starting at less than £2 a month - Click the link below!Find us on your socials of choice at www.linktr.ee/everymovieeverpodcast

Chris Ritvo, Overall Visual Effects Supervisor on Netflix's Remarkably Bright Creatures, joins Filmmaker Mixer to discuss the creation of Marcellus, the giant Pacific octopus at the heart of the film. In this conversation, Chris shares how his team combined real animal reference footage with advanced CGI to create a believable and emotionally engaging character. From researching octopus behavior at the Vancouver Aquarium to solving the challenges of photoreal creature animation, this episode offers valuable insights for filmmakers, visual effects artists, and film students interested in modern VFX workflows. Learn how filmmakers blend practical reference, technology, and storytelling to create digital characters audiences truly connect with.

We Summertime Switched with Rider and was the Odd Man Out with Will - and now it’s finally time to check out one of Danielle’s non-BMW projects: Gamebox 1.0. The 2004 sci-fi thriller is available to watch for free on Tubi, and might just have been way ahead of its special effects time. Danielle shares her memories from the glamorous green screen warehouse they called a set, and recalls her scenes with friends of the show, Sabrina the Teenage Witch’s Nate Richert and The Sandlot’s Patrick Renna. The gang breaks down every detail in the confusing low-budget gem, including digital zombies, a mailman whose hands are tied to a steering wheel and a very depressing meal at the “Downbeat Cafe.” Plus, our hosts hear a viral theory on why crushing on Will or Rider can dictate your entire personality, on a CGI-heavy Pod Meets World… Follow @podmeetsworldshow on Instagram and TikTok!See omnystudio.com/listener for privacy information.

Get out your physical media collections, fire up the record player, and get ready to unlock some serious childhood magic. This week, we are taking a trip past the stars and straight to the movies that defined a generation of Disney fans. We are thrilled to welcome Hollywood legend, voiceover maestro, and a true cornerstone of the Magical World of Disney, IKE EISENMANN (Escape to Witch Mountain, Return to Witch Mountain, Wrath of Khan, Magical World of Disney, Author), to the show! From floating coat hangers to navigating the cosmos, Ike has done it all. He sits down with DizRadio to look back at an incredible multi-decade career and celebrate the release of his brand-new autobiography, You'll Never be a Star. Ike chats, Getting into the Business, The Magic of Witch Mountain, Star Trek Secrets, Meeting The Rock, The Art of Looping and his All-New Autobiography and a heartwarming look at what it was really like to grow up on the Disney lot and survive the entertainment industry with your soul intact. Jonathan from the D-Team steps up to the microphone to geeks out over some classic Witch Mountain trivia. Growing up with Tony and Tia's adventures, these films weren't just Saturday night entertainment; they were a blueprint for imagination. He reflects on what these movies meant to a generation of kids who preferred practical movie magic over modern CGI, and he shares a deeply personal story about fulfilling a lifelong goal fueled by the inspiration of those very films. So enjoy the Nostalgia, the Magic, the Wonder, and the Memories with The DizRadio Show "A Pop Culture Celebrity Guest Show"!

In this episode of the Church Planter Podcast, Peyton Jones and Pete Mitchell are joined by Luke Mitchell for a special pop-culture episode on The Mandalorian and Grogu.After seven years without a Star Wars movie in theaters, they break down what worked, what didn't, and whether this film helped bring Star Wars back. From Mando's upgraded fighting skills to Grogu's loyalty, puppet effects, deep-cut Easter eggs, and the long shadow of The Last Jedi, this conversation is full of honest reactions, ridiculous banter, and plenty of Star Wars nerding out.If you love Star Wars, church planter humor, or just want to hear Peyton and Pete argue about huts, puppets, and whether Grogu is better than CGI, this one is for you.Resources and Links Mentioned in this Episode: Simplify Church: simplifychurch.com NewBreed TrainingThanks for listening to the Church Planter Podcast. We're here to help you go where no one else is going and do what no one else is doing to reach people no one else is reaching.Make sure to review and subscribe to the show on your favorite podcast service to help us connect with more church planters.

There are so many strings to Nigel Plaskitt's bow that it's difficult to know where to start! Puppeteer, producer, actor and voice actor, he's brought so many wonderful creations to the world, from Unstoffe in Doctor Who, The Ribos Operation to Pipkins' Hartley Hare and PG Tips' Monkey to several of the muppets! He's best known in the Anderverse for voicing Captain Black in the 2005 CGI remake of Captain Scarlet and the Mysterons - New Captain Scarlet!This month, Nigel shares the many highlights of his illustrious career, from Muffin the Mule to reuniting with his Scarlet costars to record a very special audio adventure for the new BluRay... And even the Randomiser gets in on the game!00:23 Welcome to the Gerry Anderson Podcast! 01:55 Your Youtube Comments05:12 The Voice Of The Podsterons10:20 Welcoming Nigel Plaskitt!14:11 Nigel's Anderson Memories24:56 The Andermeter! What will Nigel score?37:24 Superidentification: Nigel's knowledge put to the test!49:15 Doctor Who, Ribos secrets revealed!01:12:08 Playing Captain Black01:27:57 The Randomiser. What will it choose?01:33:36 Fab Facts!01: 38:53 Saying Goodbye. Join us in two weeks' time to watch the Randomiser's chosen episode with Nigel, Richard and Chris!Never Miss An EpisodeJoin the Podsterons Facebook groupSubscribe wherever you get your podcastsThe Randomiser with Chris DaleHelp The ShowLeave us a review on Apple PodcastsTweet about it! Use the hashtag #GerryAndersonPodcast@ImJamieAnderson / @RichardNJames / @ChrisDalekStay In TouchEmail Podcast AT GerryAnderson.comJoin the Email Newsletter

We're announcing AIEWF speakers this week! Take the AI Engineering Survey!Today's guest Ethan first joined us for the LS Paper Club as the lead on NVIDIA Cosmos World Model, but then joined xAI and built Grok Imagine in 3 months:He comes back on Latent Space with some nuclear hot takes: that Video Models primarily get their intelligence from LLMs, not from training on video data, and that the next frontier for truly interactive, realtime, long-horizon world models is to work on LLMs (perhaps Interaction Models as well…)Put it this way: In the near term, the next Sora won't be a better video model, but a video agent.Generative Media may more closely follow the evolution of AI coding which went from focusing on one-shot output performance and cost, to multiturn reasoning and planning models for agents and systems that can plan, edit, test, debug, and submit PRs.At a certain point, coding models got so good that the only significant next step to improve performance was handling the orchestration of these models.Now as the performance of video models increases significantly across realism, consistency, & prompt adherence while becoming more cost efficient, the next evolution of video generation may also be systems that can plan, generate, edit, critique, and iterate across an entire creative task. In this episode, Ethan joins swyx and Vibhu to unpack what it actually takes to build frontier image and video systems: data, VAEs, diffusion transformers, audio-video alignment, inference speedups, and the hidden cost of storing and moving massive video datasets. From building NVIDIA's Cosmos world model to joining xAI as Grok Imagine was being built from zero to one, Ethan He has been at the center of some of the most important work in video generation, multimodal models, and real-time world models.We go deep on Grok Imagine, how a small xAI team shipped its first multimodal video model in three months, why iteration speed matters more than almost anything in model development, and why many of the biggest gains come from fixing tiny bugs in data and training pipelines. Flipbook: The future of VideomaxxingVideo agents are almost a sure bet to be the trend in the coming year. We end with a glance at what's beyond video agents:Flipbook caused a minor sensation this year when it was released, but most treat it as a fun demo. Ethan takes it very seriously — with the speed and cost of inference coming down every year, the future of custom video JIT UI is closer than you think. We talked about why videogen models may become the front end of AI, how generative UI could replace traditional HTML/CSS, why world models need to be real-time, interactive, and long-horizon, and why the future of video generation may depend more on language models and agents than on diffusion alone.We discuss:* Why fast iteration mattered more than meetings* Why small training bugs can drive huge model quality gains* Why coding models may make compute the bottleneck again* How image and video models are trained with synthetic captions* The role of VAEs and latent space in frontier video models* Why image models are the foundation for video models* The tradeoff between temporal compression and real-time interactivity* Flipbook, Neural OS, and the future of generative UI* Why future interfaces may go from user intent to pixels* The hidden cost of training video models: storage, egress, and GPU hours* How step distillation and consistency models (like OpenAI sCM) makes video inference orders of magnitude faster* Grok Imagine 0.9 and large-scale audio-video generation* Why audio-video alignment is harder than text-video alignment* Ethan's definition of world models* Reference-to-video, video extension, and long-context video generation* Why xAI's research communication undersells Grok Imagine* How xAI culture shaped the speed of development* AI watermarking, SynthID, and detecting generated media* Why prompt rewriting matters for video models* Grok Imagine Agent and the rise of video agents* Why language models may unlock better video generation* Robotics, physical AI, and embodied world models* Why Ethan left xAI and shifted focus toward LLMs* Self-managed context, memory, and the next frontier for language modelsEthan He* LinkedIn: https://www.linkedin.com/in/ethanhe42* X: https://x.com/EthanHe_42Timestamps00:00:00 Introduction00:01:25 From NVIDIA Cosmos to xAI00:03:24 Building Grok Imagine from Zero to One00:10:07 How Image and Video Models Are Trained00:18:53 Video Compression, VAEs, and Real-Time Tradeoffs00:22:10 Generative UI, Flipbook, and Neural OS00:32:10 The Cost of Training Large Video Models00:37:04 Distillation, GANs, and Fast Video Inference00:41:21 Audio-Video Generation and Grok Imagine 0.900:48:34 What Makes a World Model?00:55:51 Reference Videos, Long Context, and Video Memory01:00:11 xAI Culture, Research, and First-Principles Building01:09:45 AI Safety, Watermarking, and Prompt Rewriting01:13:10 Video Agents and AI-Assisted Creation01:27:32 Why Language Models Unlock Better Video01:31:15 Robotics, Physical AI, and Embodied World Models01:32:38 Why Ethan Left xAI01:34:16 Self-Managed Context and the Future of LLMs01:38:43 Ethan's Career Path and Closing ThoughtsTranscriptIntroduction: Ethan He, Latent Space, and the Path to xAISwyx [00:00:00]: We're here in the studio with Ethan He, most recently of xAI. Welcome.Ethan [00:00:10]: Thank you. Glad being here.Swyx [00:00:11]: We're also here with Vibhu. you were first coming to us or joining the latent space world because you were working on Kosmos at NVIDIA, and you did a paper. We loved it. you presented it as well, so thank you for doing that.Ethan [00:00:23]: I've actually, I also presented the MoEs twice at latent space.Swyx [00:00:29]: How did you actually hear about us? Did we reach out to you? Is that how it worked?Ethan [00:00:33]: No, actually, I-- the community. Like I realized, oh, there is this online community that people talk about AI and also learn from each other through papers every week through the Paperclip. It's very nice.Ethan [00:00:49]: I learned a lot.Swyx [00:00:49]: I think three years stop. We haven't stopped even on Christmas and New Years. many weeks I want to stop but it keeps going.Vibhu [00:00:58]: No, that was good. I think you had posted that you worked on a paper, and I was “Oh, very cool. We have Paperclip. Present then.”Vibhu [00:01:04]: But I might have reached out to you after.Swyx [00:01:05]: you-- because it's an amateur club, right?Swyx [00:01:08]: so it's very unusual and but we have sometimes paper authors come by and actually explain the paper. Today we just did, the poolside paper, which was apparently very good.Vibhu [00:01:18]: Came out yesterday.Vibhu [00:01:19]: pretty interesting, right? Fully open. They talk about everything, systems. So it's a good one. We'll, we'll recommend people to read it.Swyx [00:01:25]: Bring us up to speed on your transition to xAI, ‘cause I actually don't even know when you joined. just like tell the, tell the story about the sort of transition.From NVIDIA Cosmos to xAI: Scaling Video and World ModelsEthan [00:01:34]: Before xAI, I was working on Kosmos world model as in-- at NVIDIA. So Kosmos is, it's a giant video foundation models that can-- that aims to simulate the world and for-- it serves as a foundation of-- for all of the roboticists to build on top of. There, once I built the Kosmos one, I realized as this thing also has a scaling law similar to language model, we need to scale up the video models further. that's, that's why I realized I need to move to somewhere with much more compute resources. That's how ISwyx [00:02:13]: Than NVIDIA?Vibhu [00:02:14]: The GPU rich came themselves.Vibhu [00:02:19]: And timeline-wise, when was Kosmo? It was pretty early, right? It was open world model, open paper, everything.Ethan [00:02:25]: It was end of twenty-four.Vibhu [00:02:28]: End of twenty-four.Ethan [00:02:30]: Then at mid twenty-five, I moved to xAI. At that time-- I joined about the time when xAI was about to build video models and in multi-model models. There were no infra, no data, and no model, and it just-- as a few engineers, we built it in three months and released the first model, Grok Imagine zero point nine.Ethan [00:02:55]: And since then, I keep working on video models and move more from training and to post-training of the video models. For example, like a reference to videos, kind of like the cameo feature and, video extensions. And, before I left, I worked on a world model, leading a small team to focus on the real-time long horizon video generation.Building Grok Imagine From Scratch in Three MonthsSwyx [00:03:24]: Can you give like a rough roadmap of okay, you're on a brand-new team. Grok previously was only text, or they partnered with BFL for their image gen stuff. What do you-- what are the building blocks, right? You have compute, data you can procure somewhere. Like just what are like the sequence of things that people should think about when you're setting up a new team?Vibhu [00:03:43]: actually even deeper, not just data you can procure. You guys had to go through getting the data too, right? So you shipped it pretty fast, but yeahSwyx [00:03:51]: three months is likeVibhu [00:03:52]: From everythingSwyx [00:03:52]: actually like very surprisingly fast.Ethan [00:03:55]: One thing I say like thanks to my experience at NVIDIA, ‘cause first time when we were building Kosmos together, we built it, for about a year. So this is like the second time I do it. Roughly have an idea, what to do. I say the most important thing is the talent. Everyone were very strong and clever, very close with each other towards a common goal. So that speed up things a lot. So you reduce the communication bandwidth among people, and everyone can work towards the same goal. It's, it's like every day there's not that much meetings on the calendar, like maybe like a, like a sync a day, and after that it's, it's just all building. It was pretty fun at that time.Ethan [00:04:47]: And another thing is that xAI has very strong foundations of like data inference, model inference, and the supporting there can help the model develop a lot. When I look at, training models, I don't so actually the top important thing is like how many, how many iterations can you do, per day? and the more iteration can you do, you can, you can train the model much faster. So if you have very strong infra and you have a lot of compute, you can, you can train these models in very short period of time. That can give you a much larger buffer to, for errors, and it also gives you the opportunity to spot more bugs.Iteration Speed, Compute, and Debugging Model PipelinesSwyx [00:05:46]: What is an iteration? Is it like a few hundred steps or what are youEthan [00:05:50]: Let's say just the train-training the model, like from acquire new data and maybe design new algorithms and train a new model, maybe at smaller scale orSwyx [00:06:01]: So cycle time for like any hyperparam that you're searching.Ethan [00:06:04]: Cycle time and tune to like eval this model. Is this model better than my previous iteration?Ethan [00:06:11]: SoSwyx [00:06:11]: So it's like before you, someone had already set this up that you can iterate very quickly.Ethan [00:06:15]: I think the foundation there is extremely good forDeveloping and research models.Ethan [00:06:23]: And often I find is it-- this is kind of boring, but like a lot of the improvements does not come from new algorithms. It comes from finding small bugs here and there in the data pipeline, in the, in the model training pipeline. Those give, those give the biggest boost to the model quality.Vibhu [00:06:46]: It's interesting, right? So you say it's like small team, less communication bandwidth, but also a lot of quality is like find little bugs. It seems counterintuitive, right? You have a lot of people, you can iron out more of those, but it's interesting to see the other side, right?Swyx [00:07:00]: I also wonder, have you-- do you try using LLMs to look for bugs? I don't know.Ethan [00:07:05]: I remember at that time it was mid two thousand and twenty-five, so it's the coding model wasn't quite there yet. I remem- I remember like December two thousand and twenty-five, it was extremely good. Yeah, I've been, I've been using it at that time. It's, it's helpful. sometimes it produce codes that are kind of difficult to maintain, even though like the first time it built something extremely fast. But it gave the, like a spaghetti code, thousands of lines that I couldn't maintain, and the LLM itself couldn't figure out what's, what's wrong and how to improve on top of it. But now I find it much better. Yeah, I want to bring up another point here is now coding models are much more efficient and can help us implement stuff much faster. Compute might become a bottleneck again because previously, like if you want to train a new model, say you want to generate new synthetic data and then or write a new algorithm, it might take a few weeks. And during that period of time, you don't-- you might not have experiments to run. But now you can build that thing within a few hours, then you can immediately train a model.Ethan [00:08:24]: Now you have to have enough compute to try all of the ideas. So compute might be the bottleneck of iterating speed again.Swyx [00:08:36]: yeah, I actually, honestly, I think it's like kind of a stressful job because you're “Well, I should be trying everything, and if I'm not, then I'm not doing my job well.”Vibhu [00:08:48]: there's also the stress of you're eating thousands of GPUs per hour, which is very expensive and, compute can go to other researchers.Swyx [00:08:56]: You got the daddy Elon toVibhu [00:08:57]: You got daddy Elon.Ethan [00:08:59]: It wasVibhu [00:09:00]: But there's still finite amount of compute, like you want to use it, you want to use it well, you want more of it.Ethan [00:09:06]: That was quite stressful indeed. Yeah, I think one thing is the-- with coding models now, like a lot of these jobs can be automated, which is much better. A second, it's a, it's a marathon, so you got to maintain good health and, a regular schedule.Vibhu [00:09:28]: It's, it's hard to hear that when you shift from zero to nothing in two months.Swyx [00:09:32]: and, I think obviously the culture at xAI is very famously, people work very hard. one thing I did want to dive into, in our-- in the notes that you, that you sent ahead of time, you had specific comments about the cost of Video Gen training. presumably this is on the Colossus-1, right? the two hundred megawatt cluster. Any whatever you want to just share on that.Vibhu [00:09:54]: I think there's, there's three things we're talking about, right? So there's Video Gen, there's also the Image Gen model that you put out. Do you want to like complete the, okay, so zero to one, you have a few months. Just what are the stages of create Image Gen model?Swyx [00:10:06]: Oh, yeah, maybe I got distracted.How Image and Video Models Are Trained: Synthetic Captions, Tokenizers, and VAEsVibhu [00:10:07]: Sorry. and then, from there's Video Gen, there's Audio Gen. Would love to get into those next. But what is that first few months like? So small team, a lot of bugs, iterations, but what does it look like? Do we take something off the shelf? Do we just get data compute? What's, what's the few months like? How do you go to state-art Image Gen model? How do you just start?Ethan [00:10:28]: I cannot comment specifically how xAI did, but it's, it's a quite standard process. I can draw some, examples from Cosmos. So mainly it's building a video model, you actually need to build a image model first. And building these two models, the data you need is a hundred percent synthetic pair of language and image or language to video. Because on the, on the internet, actually, the videos don't naturally associate with text. So you can say, oh, like on YouTube, you have the title and you have the description and the commentsSwyx [00:11:11]: TitleEthan [00:11:11]: of a video, but usually they're not relevant to the video itself. And say maybe like the video is a natural scene of mountains or something, and the title is, I'm so happy today.Ethan [00:11:26]: So they have they have no correlation at all. So the first step is to, you have to generate synthetic pair of language with the videos. So you gather videos from the internet, and you use a VLM to caption the videos. So that part, here's a question, like how do you, how do you gather VLM to begin with? So if there's noSwyx [00:11:55]: You, so you fuse the model, right? LikeEthan [00:11:57]: Say if there's no like VLM exists, like how do you generate the text to the beginning, right? It's, it's impossible.Swyx [00:12:04]: I see.Ethan [00:12:05]: In the beginning, it's like you ask human to describe the video as detailed as possible.For example, you ask them to describe everything, like all objects, all characters, and all interaction and dialogues in the, in the videos. So that's in the protocol of Cosmos labeling. We require the objective we give to the labelers was that you have to describe the video as detailed as possible, such that a blind person hears a blob of text can reconstruct what the video is like from their head.Swyx [00:12:43]: Video or image? You're talking about images.Ethan [00:12:44]: Video or image, either one of them.Vibhu [00:12:47]: This was pretty common when we went from clip and DALL-E, right?Vibhu [00:12:51]: It's all training on really detailed captioning of images. So same is applied to video, but insteadEthan [00:12:57]: same appliedVibhu [00:12:57]: of using multimodal model to pass in video images and write rich descriptions, you can alsoSwyx [00:13:04]: I think there's this traditional perspective of supervised, or, very highly human curated thing. I feel like there's a unlock with unsupervised, right? Where like you have enough to bootstrap that you can just throw common corpus on it or, whatever. like unsupervised vision and language pairing, right? Like where you just have, interspersed image and text and it just learns. To me, that is the VLM breakthrough that is different from the clip, different from the LM era.Ethan [00:13:36]: It's interesting to see that you kind of need both data.Ethan [00:13:41]: For example, for theSwyx [00:13:41]: You need it to bootstrap it up. YeahEthan [00:13:43]: for the generative model training, there's also usually like a small percentage of unlabeled data. So the model is instructed to generate a video without any text instruction. That can also help the model generalize. So after this stage of generative synthetic pair, so, one important common step is to train a compressor or a tokenizer of the image or videos. So because, if you train-- If you can technically, theoretically train image or video models on pure pixels, but the problem is that the, it's, it's a lot of tokens. So like one image, it's, a thousand by a thousand, it's like one million tokens, one million pixels. It's impossible to train transformer on that. So it's, you need to train a tokenizer, which can go from image to latent space and latent space back to image.Swyx [00:14:45]: That's why we named the podcast.Swyx [00:14:48]: But, basically, you're talking about vocabulary science.Ethan [00:14:50]: so vocab.Swyx [00:14:51]: And so, what is, what is imp-- like a million is impossible?Ethan [00:14:54]: In generative models, the vocab is continuous. It's a continuous space. We can think about like you map an image to a vector. It's a, it's a fixed length vector. It's sixteen or forty-eight, something like that. And then you map that vector back to the image space. And the mapping is, has-- The mapping is patch-based. So you say you haveEthan [00:15:22]: a sixteen by sixteen patch and you match, you map that patch of pixels into this latent space.Swyx [00:15:29]: We've covered thisVibhu [00:15:30]: This is like the vision transformersSwyx [00:15:32]: VAEs,Ethan [00:15:33]: VAEs.Vibhu [00:15:34]: You basically compress your input, you do your generation, you're reasoning all that generation in smaller dimension, and then you project back out.Swyx [00:15:43]: VAE is a form compression, but I think the for me, the patching thing is from VIT, right?Ethan [00:15:48]: You can make those.Swyx [00:15:49]: Literally the, yeah, the paper is titled like sixteen by sixteen is all you need. something like that. and then I think also, people make a lot of comparisons with this kind of patching with convolutions.Swyx [00:16:02]: Which is you're, you're kind of re- reconstructing the old paradigm with the new.Ethan [00:16:05]: Actually, in VAEs, there are, there are both convolution networks and transformers. You can actually do both.Ethan [00:16:14]: After this VAE, so what you've got is you've got latent space tokens and you've got the language tokens. So now the training of the diffusion transformer, usually generative models use diffusion transformers. It is actually quite standard. It's, it's very similar to how you train a language transformer models. It's not that much difference. It's just the tokens, the visual tokens in, visual tokens out. The only difference is there's a denoising process. So you train the model to unmask some of the noise. So you add, you add random noise to the visual tokens, and then you train the model to remove those noise to generate the clean tokens. Any inference, the model can iteratively remove noise from a hundred percent noise.Swyx [00:17:12]: And then there's also, to speed things along on the tech tree of diffusion, there's CFG, and then there's, there's also, latent diffusion that, there's, there's someone in there. I think, somewhere along the line, obviously, like stability and all these other guys, pioneered a lot of this, architecture. I don't know if you want to get into that or just, or do the video side up to you.Bootstrapping Video from Image Models and Temporal CompressionEthan [00:17:37]: After you train such model, such image model, the reason it's a, it's a foundation for video models is that image models are cheaper to train, and they have much denser connection between language and text. So, sorry, language and images. For example, you train a billion, you train on a billion images, and there's a mapping from the text to the image. And the cost to train the same, like the, a billion, a billion text to a billion videos, that's much more expensive because videosNaturally have more tokens than images. Because the diffusion models, their understanding of, language purely come from this mapping. So if you don't have enough mapping, so if you only train on like a ten million videos or something, there-- you might not see enough language tokens in your training, so your model does not understand human intention enough. So that's why you really-- you train-- you first train this image diffusion models, and then you bootstrap the video model from there.Swyx [00:18:53]: One thing I did want to ask, because I-- actually, I think you're, you're the first per-- video model person I've ever talked to, I think. we've, we've like talked to Luma and all those folks. There's all these tricks in video compression where basically frame by frame there's not that much difference, so actually you don't have to regenerate or save the whole frame, right? but I think MP4 compression or something else like that.Swyx [00:19:16]: is it tempting to use that? Or as far as I can tell, everyone just treats it as, “No, we would just generate every frame.” Is that roughly the state-art?Ethan [00:19:27]: There are a few different approaches. Let's say first, like you want to just directly use MP4 compression and use that as the tokens for the transformers to train, right? So people actually have tried that, but the main challenge is the latent space for the MP4 tokens were not, were not very comprehensible for the models. It's, it's extremely hard to train on that. And there's aEthan [00:20:01]: So that's why they created VAEs, which creates more continuous, latent space, so the models can understand that latent space and learn from it much easier. Even within the VAEs, there are different difficulties of the latent space. So you can imagine something the simplest, the most naive VAE is like you have an image, and you just shuffle all of the images into a, into a vector. So you don't need to train any VAEs, right? But that latent space is extremely hard for models to train on top of. That's why there are some debate on like how do you compress the tokens. So you mentioned like you can compress frame by frame. Also, you can compress, the temporal dimension.Ethan [00:20:52]: The difference is if you compress the temporal dimension, you get a much higher compression rate. Because there's temporal redundancy between frames, because, this frame and the last frame, likely they are mostly similar, so there's only some small difference. for example, I think in 12.1 VAE, they have like a eight by eight by four compression rate. So the four temporal tokens are compressed into one tokens. That can save a lot of, save a lot of the context length. If you do it frame by frame, you have to do maybe like eight by eight by one. Your context length will be four times larger. That being said, the benefit of the frame-- per frame compression, we might come back to this later, is, real-timeness and interactivity. ‘Cause if you, if you strain the output of the model, frame by frame, you can-- the model can respond to any user request immediately. So if you have like a temporal four compression, four times compression, thenSwyx [00:22:06]: It might be laggyEthan [00:22:07]: there's a lag there in nature.Swyx [00:22:10]: So you're very pilled on this. let's just go ahead and bring it up ‘cause we have the visual prepared anyway. There's some frontier applications of real-time video gen. So Flipbook is one of the examples that went viral recently, right? What is Flipbook?Real-Time Generative UI: Flipbook, Neural OS, and Diffusion Front EndsEthan [00:22:23]: Flipbook is kind of like a web brow- web browser. You can see like it has the web bro- browser UI on top. The difference is all of the UIs are generated by generative image model in real time, and anything here are fake. But you can, you can explore inside this wor- this imaginary world. Say like we-- here we have engineering the Great Pyramid. Like the model generates this for us to understand how it works, and if we want to navigate around and understand further, we can click on some of the, some of the description here, and the model will generate a new page, new subpage describing the details we want to know about.Swyx [00:23:14]: So it's basically kind of we're playing a video, but it's pausing for our next interaction, and then it just plays the next thing based on our interaction.Swyx [00:23:23]: Which is kind of cool.Vibhu [00:23:25]: and you kind of decide your story. So this was, how do you make a pyramid? levering technique seemed interesting, right? It shows how do you take Okay, I want to know what is thisSwyx [00:23:35]: The demo, the demo tweet had more animation between frames.Vibhu [00:23:38]: I think it's just skipping,Swyx [00:23:39]: Oh, it's just skipping a lot of frames.Ethan [00:23:40]: they also have a video modeVibhu [00:23:42]: It takes a lot. There's a lot of peopleEthan [00:23:42]: but, a lot of people are using it.Ethan [00:23:45]: So it's not available.Vibhu [00:23:46]: There's a live video stream. We can try,Swyx [00:23:50]: So this is an example of the kind of future that you see at the extreme. We don't-- we're obviously not in it today.Swyx [00:23:56]: But in a world where inference is completely free this is better than generating code and text?Ethan [00:24:02]: So this is, this is a final state of where Viva will be at for word model, I think. Imagine internet doesn't exist, and then you type in google.com. Like what should, what should, what should a model show you?the model can imagine something, and this is what the model imagine. And these web pages, they completely do not exist. So I think as the inference costs come down, we are going to have generative UI for everything. If you think about how the coding model works, so they write code for a web page, and they render the code might be con- converted into binary, and the binary render the pixels on the screen. So we in machine learning, every time we have some breakthrough, obviously it's, it's more intuit. So why don't we have like user instruction to the pixel directly? So the generative UI will be user intention to the pixels directly. And say like even if I want email, let's say everyone have the same interface, but I want, I want it slightly different. I want the email to show to me like a TikTok, so I can swipe left and right for the emails. And or maybe you want something else. We can have completely different things. Or like I have I'm looking at, Instagram stories, and I don't like the Like button. I always may click it. And, generative UI resolved it. So it's going to be a revolutionary replacement of the interface. So in the future, we might have much more powerfulEthan [00:25:50]: LLMs and coding models running behind the scene. And in the, in the front-end, the diffusion model will actually be the front-end to show stuff to you. That's how I imagine it.Swyx [00:26:02]: Diffusion front-end, deterministic back-end.Swyx [00:26:04]: Something like that. I find that very expensive, but,Vibhu [00:26:08]: I find it interesting you called LLMs writing code on the back end deterministic, but okay.Swyx [00:26:14]: you write it onceVibhu [00:26:15]: Compare it toSwyx [00:26:16]: And then you execute.Ethan [00:26:17]: If you think about the cost, say, let's say H100 costs $1 per hour, and if you use this eight hours a day and thirty days, so, every month you're paying this two forty, you'll actually not wanna pay for that. That's even more expensive than Cloud Code Max. But if you think about the compute costs come down like two times every year, and I think the future will likely arrive like within few years.Vibhu [00:26:49]: It's everything, right? compute cost comes down, compute gets faster, model gets smarterEthan [00:26:54]: More efficientVibhu [00:26:54]: model gets smaller.Swyx [00:26:55]: I don't know why you say two times, ‘cause I think it's like 100 times. In language models, it is roughly one hundred to a thousand times every twelve to eighteen months, for the same given level of LMSys, ELO.Vibhu [00:27:08]: That's a net of everything, right? That's model performance alongside compute. So different than just compute costs come down. But, a very interesting future.Swyx [00:27:19]: So the web designers will have to shout out that accessibility is an issue, right? how do you deal with screen readers or whatever. But yes, this is higher bandwidth storytelling than anything you can possibly generate with code, right? So I think that's the rough idea.Ethan [00:27:34]: And I'd like to add a little bit that so human naturally have the maximum bandwidth when we are looking at things, look at videos, and we also have maximum output bandwidth when we are talking. So in the future, it might be something like we talk to AI models, and the AI model responds back with a generative UI. So that would be the maximum input and output bandwidth to interact with AI models before neural link happens.Vibhu [00:28:06]: And it's also very custom, right? Some people are very visual, some people are not as visual, right? They prefer the text. But the best thing about generative UI, right, it can also be text.Swyx [00:28:17]: There's another project that we wanted to highlight, which is the Neural OS. Kinda similar idea, but here you're literally operating, simulating an operating system with a video model.Swyx [00:28:27]: and you can play Doom, you can do Firefox. I find this like mildly less impressive, obviously, because it's an OS that I can run.Swyx [00:28:37]: But here everything is imagined.Vibhu [00:28:40]: I was, used to the Command+W to close the Firefox tab. It didn't crash. That's why I saidSwyx [00:28:45]: It's too immersive.Vibhu [00:28:46]: It's, it's too immersive for me.Swyx [00:28:47]: Too immersive.Vibhu [00:28:48]: I wanted to close the tab.Vibhu [00:28:49]: But yes, I can play generated diffusion.Swyx [00:28:51]: this is shockingly fast.Swyx [00:28:54]: Because I remember there was a demo about like maybe one to two years ago. Someone tried to do the first-person shooter with a image model. There was no consistency. It was very slow. But here it looks like realistically it's-- this is Doom.Vibhu [00:29:07]: I think there's two sides to that, right? There's okay, what is running a game? The heavy part of it is actually the game engine, all the lighting, all that stuff, the graphics. This is just kind of video, right? Like we've solved consistency. This is still, it looks like a few years old image generation. There's some temporal consistency, but it's, it's kind of just images stitched together as frame video. But it's a good visual representation to pi- to picture the future you wanna see, right? that's, that's what I see in these more so.Ethan [00:29:38]: This reminds me of how the video models gets better and better. So Neural OS is kinda if you just look at it feels like it's just a crappy version of the, like the Windows we could have, right? And, but the difference is, so the model, this model is overfitted on the existing operating systems. It can generate nothing different than that. But it's actually also similar to video models. So when we are training these video model, image model, we train them on internet. There's no imaginary supernatural stuff on the internet. But once we train this model, you can prompt the model to generate something supernatural that have never existed in the data set. So if you train your Neural OS or neural computer on the standard screen recordings on the entire internet. The model can imagine completely new interface to interact with the computer.Swyx [00:30:43]: This is one of those things that is magical to me. usually generalizing out of distribution is bad, but somehow we have learned some kind of internal world model that you say, this plus, but it looks like rainbows and butterflies, it'll do it and it will kind of make sense.Swyx [00:31:03]: So yeah, that's kind of cool. Yeah, I don't know if there's any comment more on there. I do, I do wanted to, I did wanted to touch a little bit more on the model architecture stuff, which I think you were getting. It's, really fascinating. We don't get a chance to talk about this enough. So one of the papers that we covered, we've covered every annual, segment anything release. and I don't know if you follow-- you're a computer vision guy, so youEthan [00:31:26]: I knowSwyx [00:31:27]: . So they did memory attention, which is kind of interesting. And I always think, anything where you can, across the temporal dimension, keep some consistency, I think it's, very fascinating, and I don't know if Basically, does that-- the CV side bleeding into video gen side, I think is underexplored, right? we talk about it for labeling, but actually you can borrow the architecture itself.Ethan [00:31:50]: There's, there's also complete different approaches, right? you brought up the term world model, so we went from video model to world model. There is diffusion, but there's also other approaches that people are doing. So maybe we get into those after as well,?Swyx [00:32:03]: He has a whole definition of world models and stuff. I feel like we threw a lot at you. Whatever you want to comment on.Why Video Models Are Expensive: Storage, I/O, and Training ScaleEthan [00:32:10]: I think one thing that we should actually comment back on is okay, so we were talking about the steps to train image gen to video model. One thing we don't see as much of is okay, you brought up the delta in training data, right? SoEthan [00:32:24]: you won't have as much a video model might not generalize, but what is the cost of training a large video model? So we know for LLMs roughly, okay, even like the poolside thing that came out today, right? It's a Gemma level model trained on roughly forty trillion tokens at this many H200s over this much time, right? You can see what is the exact cost of that. So how many GPU hours over how much H200 costs? So how do we do the back-end math of, same thing for video models, image models. How do you, how do you kind of break that down? I can share some back-envelope calculation. So surprisingly, video models is-- the cost is very-- is comparable to language models and obviously the largest scale is language model, maybe like a medium scale to language models. I said just storing the videos alone, it costs a lot. You can, you can maybe look up on AWS or something.Ethan [00:33:20]: You really, say if you have a billion videos and let's say, let's just say like each video, like five megabyte, then you need five petabyte to just store those videos. And also remember we talk about you use a VAE to compress the videos, and you also need to store, typically you need to store those continuous feature, in-- also in your storage. That's also comparable size with the videos themselves. So just storing these videos and the features is tens of petabytes alone. And,Swyx [00:33:58]: I just, I just looked up the calculation. Five petabytes on S3 Standard is one hundred K per month.Ethan [00:34:05]: AndSwyx [00:34:05]: It's comparableEthan [00:34:05]: and you needSwyx [00:34:06]: AndEthan [00:34:06]: And then like tens of petabytes, two hundred K. And even more expensive is you have the ingress and egress.Swyx [00:34:13]: Oh, yeah.Ethan [00:34:14]: Like you-- through the internet. You have to just to download those videos, I believe it's, it's more expensive on AWS than just storing those videos.Swyx [00:34:25]: Storing, yeah.Ethan [00:34:25]: And each training runs, you probably need to pull them once. If you train multiple times, it's, it's even more than that. So it's like just storing the network, those costs is just, it would be a few, a few millions per month to just storing everything, not to mention the GPU cost.Ethan [00:34:45]: AndSwyx [00:34:45]: my side tangent, the compute rental, like GPU rental is very efficient. There's one side, okay, you can be XAI and build your data center. Should we not just build our, storage compute as well? LikeEthan [00:34:57]: Of courseSwyx [00:34:57]: cloud cost compared to just,Ethan [00:34:59]: You save so muchSwyx [00:35:00]: store. Yeah, exactly.Swyx [00:35:01]: Especially with like egress and stuff. So.Ethan [00:35:04]: That's a good idea, but it also comes to-- there are some of its own challenges.Swyx [00:35:09]: Of course, of course.Ethan [00:35:10]: like people who build the GPU data centers, they might not expect this much, storage. And yeah, people build storage, typically they just build it somewhere with just CPUs.Swyx [00:35:23]: I just looked it up. Five-- AWS only charges for egress, not ingress. Tier five for five petabytes is two hundred and thirty K.Ethan [00:35:32]: Even more expensive than the storage.Swyx [00:35:34]: But storing is per month, right? You check in, then you cannot check out. so it's so cool. It's okay. So there's that side.Ethan [00:35:41]: So the TLDR, my backhand mathSwyx [00:35:42]: Data is larger than you think. Yes.Ethan [00:35:44]: my backhand math of GPU hours times GPU cost is also very much, I'm missing some storage.Swyx [00:35:49]: You're also-- you're basically like also more IO bound than normal training.Swyx [00:35:55]: Yes. ‘Cause like data loading, so caching everything, it becomes super important.Ethan [00:36:00]: So in Cosmos, we did a lot of optimizations to make it not IO bound. So, speaking of the training, actually training the model, the GPU cost, if you look up like the open source model, how big these video models are, I think like LTX has nineteen B parameters. That's a dense model. And people are also exploring, MoEs, so it might be twenty B active and, like a hun- hundreds B, total. So that's, that's even-- that's similar size as medium-sized LLM models. And if you, if you look at number of tokens-Uh, we disclose that in Cosmos. It's also like tens of trillions of tokens on the visual tokens. So putting this together, the cost of, training these video models, it's actually comparable with LLMs. Not to mention, the infra is slightly different from LLM, so it might be less efficient to train these models.Inference Speedups: Step Distillation, Consistency Models, and GANsSwyx [00:37:04]: Do you get the benefits of traditional diffusion speed-up? So for, images, there's LCM, LoRAs for, fine-tuning. There's, there's a lot of stuff that's beenEthan [00:37:15]: Flow matching.Swyx [00:37:16]: there's flow matching. There's a lot of stuff that's been done. there's some overlap that applies to diffusion on the inference side and stuff or?Ethan [00:37:23]: so the difference-- the inference side is a completely different story.Ethan [00:37:28]: I think for the training side, it might be a little bit hard to reduce that cost. And for the inference side, the biggest gain is from the distillation of these models. You can-- It's called step distillation, slightly different from knowledge distillation in LLMs. So you-- Typically, for flow matching models, you need like 100 steps or something. Like a distortion model even need even more, like 1,000 steps to generate a good image or video. A step distillation is try to learn to generate fewer step from the model itself. It's kind of like now we-- you use the full model to generate in 100 steps, and then you take a model that only generate 10 steps and let that model to learn from the perfect one.Ethan [00:38:25]: why this workSwyx [00:38:27]: Strong to weak seemingly.Ethan [00:38:28]: It is. It's kind ofSwyx [00:38:29]: DistillationEthan [00:38:29]: kind of like strong to weak. the-- from the modeling perspective, the strong model, the teacher model is trying to model the image and videos of inter-internet, and that distribution is extremely complex. But the step distilled model is just trying to learn from the teacher. The teacher is a model, and the size is fixed, as the distribution is much simpler than the whole internet. That's the intuition I have why step distillation can work. So usually these models serve in productions, they only run in a few steps. In Cosmos, I believe we have, we have like four step and eight steps. If you do some simpler task, image-image translation, it can even run in fewer step, like one step in Cosmos Transfer.Swyx [00:39:22]: I think this is the same intuition that guides a lot of the consistency model work. I sent you a link for, SCM. I don't know if you covered that. To me, that was actually one of, the most impressive papers I've ever seen from OpenAI.Swyx [00:39:34]: That this is the unifying grand concept of consistency models. I don't know if you have any comments on this.Ethan [00:39:41]: So there are, there are a few different approaches,Swyx [00:39:46]: Oh, yeah. Here it is.Swyx [00:39:47]: Two steps versus twenty or 100 steps, whatever. It's already done.Ethan [00:39:52]: So there are, there are a few different approaches, for example, consistency model, and there are also Actually, we shouldn't forget GAN. So GAN, actually, that was, that was the OG ofSwyx [00:40:05]: OGEthan [00:40:05]: step distillation ‘cause it trained just one step to begin with. So actually, a lot of, uh-- For example, there's a distribution matching distillation which use, which uses GAN, as one of the laws for distillation. It-- GAN just tells you, “Hey, generate an image,” and thenEthan [00:40:31]: it has a discriminator to tell, is this image real or not? So the model, the model just need to learn one of the distribution, not the full distribution. Because in training, the model is asked to reconstruct the ground truth image from the internet, which is extremely hard. And in-- When you're training GAN, it's a step process. It's just a, “Hey, you generate image. Does this image look as real as the image from the internet?” Which is a much simpler task. And, yeah, combining a lot of these approaches together, people typically do that, like consistency model and distribution matching and GAN, and we can get these few step models.Audio-Video Generation and Time AlignmentSwyx [00:41:21]: Then there's one step I wanted to add, which is audio and video.Ethan [00:41:26]: So, Grok Imagine zero point nine, I believe it's, it's a first audio video transmodel deployed at a large scale. SoSwyx [00:41:39]: And that was your first model?Ethan [00:41:40]: that was, Grok Imagine's first model. It's, it's audio video, joint generation. I think the hard part is, the modality alignment, ‘cause before this transmodel, we have, we have text to video alignment. We have this, correspondence between text and video. Typically, most of the VLMs, they understand images and videos. Video's very rare, and they don't understand audio mostly. And if you look at the audio generation on the LLM side, you can talk to them perfectly fine, but if you ask them to sing a song or something, it typically is not very good. Also, they don't have, they don't have music either. The hard part is thatUh, actually audio has two component. It has like a discrete component, a continuous component. The discrete component is like the language.Ethan [00:42:44]: So when we speak, it's just, someSwyx [00:42:47]: It's an ASR issue, yeah.Ethan [00:42:49]: It's, it's text token with some characteristics, I would say.Ethan [00:42:54]: But musicSwyx [00:42:56]: I think the speech guys would disagree with this.Swyx [00:42:57]: Like disfluencies and then,Vibhu [00:43:00]: There's tones you can get angry.Ethan [00:43:01]: Well, I say largely.Ethan [00:43:03]: the mu- but the music is completely different. It's, it's very continuous, and you cannot model them like discrete tokens in language models. this is like the hard part for models is, not to mention we have to align text, video, and audio together.Ethan [00:43:26]: SoVibhu [00:43:26]: How?Ethan [00:43:28]: So significant-- some significant challenges are like-- So first, like we talk about as the VLMs, they cannot understand most of them cannot understand audio.Ethan [00:43:39]: So you have to have some way to do the synthetic data generation for audio. You have to caption the model, and that involve, that involve synthetic data and human data effort a lot. And not just surprisingly, most of the LLMs are very bad at recognizing, like the beat, tone, and the details of the of music. They can, they can give some general prediction of which song is this, but it's very hard to describe the details of the music. like we mentioned in image generation, like you have to describe image as detailed as possible so that someone blind can reconstruct that. So here is like someoneVibhu [00:44:32]: DeafEthan [00:44:32]: someone deaf can reconstruct how the music sounds like without actually listening to it. Maybe you can think of it need to have the-- or they call the script.Vibhu [00:44:49]: Subtitles, yeah.Ethan [00:44:49]: You gotta have all the details of the music, and the dialogue.Vibhu [00:44:55]: So is the challenge there typically stuff like music and audio, or is it just Like is there a baseline? Okay, there's enough data where we can understand, narration, conversation, but there's nuances in audio that's where you hit all the data issues or is it just from stage zero, you just do it all right?Ethan [00:45:15]: So one important thing is like the alignment. So the model, the model has to know like the video and audio, the, uh-- it has to have a time-based alignment, like at which time step the video and the audio token correspond to each other. But we actually don't have this kind of alignment for most of the other modalities. If you think about like text and image, text and video, they are loosely aligned. So you can, you can have a description of what's going on in the video, but you don't have to exactly, You typically don't have exact description, oh, at, time step one second like what happened?Vibhu [00:46:02]: It's veryEthan [00:46:03]: At time step two second what happenedVibhu [00:46:03]: coarse. Yeah.Swyx [00:46:05]: So what was the ideal time step? You have to oblate it, and then it's like four seconds or something.Ethan [00:46:09]: So that comes down to how you design the model to, for the model to be aware of as a time, as a time modality. So the model is like a time aware. And that's something pretty unique if you think about LLMs. So if you ask LLM to complete a task, say they, uh-- you ask them and they will say, “Oh, this task will probably take twelve hours to complete,” and they come back in one hour. Say “I've already spent two days on this and I've exhausted everything.”Ethan [00:46:47]: So the LLMs them-themselves, they don't have a sense of time there.Vibhu [00:46:53]: I actually don't think that's just them not having a sense of time. I think it's somewhat based, right?Vibhu [00:46:58]: Like you tell someone, “Okay, go work on this feature. Go implement this,” there's a general understanding you would have of how long that would take without LLMs working at LLM speed, right? So you think back like two years ago, if I tell you to like build me like a new front end for latent space, have a search bar, have all this, you'll estimate that it'll take a few days, right?Vibhu [00:47:19]: So you tell an LLM, “Go build this.” It'll take me a few days. But I think it's somewhat grounded as opposed to them not having the best-- Not saying that they have a great understanding, but I think that example is like you can see where it comes from, right? You're trained on all over the text.Swyx [00:47:35]: They're, they're trying to estimate what a human would say.Vibhu [00:47:37]: because that's what the, that's what the data kind of represents. It's not themEthan [00:47:41]: It came from the corpus on the internet. People have a estimate of how much time.Vibhu [00:47:45]: And not even just in direct like training samples, right? Just your world understanding of tokens of how long stuff takes, right? Go read a book. It'll take you a while, right?Vibhu [00:47:56]: Even if you do nothing but read a book, it takes a few days. So yeah, LLM, I read it took me a few hours.Vibhu [00:48:01]: It'll take me a few hours to go through this research. But this is a tangent.Swyx [00:48:05]: Somewhat, yeah.Swyx [00:48:06]: This is a train of thought I haven't really expressed until now is, which is basically like a full world model must also be recursive, meaning that the participant in the world model must also be aware that they have a world model. which is like this whole recursive thing down the, down the line. but yes, and that the world model can be wrong and that they need to update it and blah. Yeah. We've, argued this on the, newsletter as well, that there needs to be sort of recursive or adversarial world models.World Models: Real-Time, Long-Horizon, Interactive VideoVibhu [00:48:34]: just, to ask, how do you define world model?Swyx [00:48:38]: Oh, yeah, let's go there.Ethan [00:48:40]: SoVibhu [00:48:40]: So just for context, we talked about, video generation, and then there's a-- if you say there's a distinction between world models, what's your, what's your definition? How do you see the two?Ethan [00:48:53]: So disclaimer, I'm not going to debate, what is world model. Yeah. there are many definitions, so I'll just talk about my definition. Since I came from the multi-model, multi-model domain, so mainly talking from video. So world model is like real-time interactive long horizon videos. So there are three parts. so we-- let's talk about them one by one. So the so interaction, so we just, we just look at Facebook and neural computer. So the interaction part of it, so you, world model can allow you to interact with them through keyboard, mouse, and maybe also voice. So these all is-- all is a modality. You can, you can interact with the model, and the model should respond reasonably. Second part is real time. So once you, once, say, you move your mouse, if, say, the world model generate a game, how fast can the game respond? So if you're like professional CS: GO players- -my say, oh, you have to respond- He's beginner within sub ten milliseconds or- Yeah even less. So that's not most of the- No, sixty FPS. Let's go. Oh, three hundred FPS. Oh, five hundred FPS. Wait. okay, yeah. I didn't do the math, but yeah, okay. Uh- Yeah, three hundred FPS, that's a three millisecond. So you have to respond- Oh, s**t. Okay. YeahEthan [00:50:29]: within a millisecond. Most of the video models cannot do that. Yeah. And, but if you, say, if you have a video model that is, say, like a digital human, the response time might be more generous. Maybe typically, for real-time voice interaction, it's like two hundred millisecond. So that's, that's much more generous. But even two hundred millisecond is pretty, it is pretty tricky, ‘cause remember we mentionedEthan [00:51:01]: you have this, temporal compression coming from the VAE. So if you, if you don't compress the temporal dimension, your sequence length is going to explode. So if you want to have this real-time, real-timeness in your model, you have to do is one context problem. And the third part is long horizon, ‘cause we-- if you're not going to just play with, video games just, a few seconds, most video models only a few seconds. We're going to play with minutes, hours. The model have to be able to generate long-form content.Ethan [00:51:42]: So putting these three together, it's, real-time, long horizon interactive videos. I think the final state will be, for example, like a video, a video version of Playbook, where you can, you can interact with, a neural computer. You move your mouse, and you click on the generative interface, and it will reply to you through pixels- generating in real time. But getting there, it's, it's a very long way to get there. So one of the first step, at Grok Imagine, where I led a small world model team there, was to build video extension. So, video extension- it's the first step of interactivity. Yeah. It's, it's the first step. Yeah. So it's the first step- You have it here, video editing, yeah. Yeah. Yeah. So the first step is because, this unlocks long horizon videos. Typically, for most of the video generation models, you give it a prompt or an image as an initial frame. You generate video, that's it. That's just, one time, done. And some creators would try to, use the last frame as a first frame for the second video. It can-- sometimes it works, but if you do it a few times, it says the quality would decrease. And- It doesn't have that context- Yeah over the full video, so the temporal- Yeah, exactly. Yeah, ‘cause you only gave it the last frame, of course, right? Yeah. Exactly. And- it's actually a pretty fun hack. if you've seen like- Oh, no, he's saying something better. Yeah. And for example, like Vue, I remember Vue 3 has like a second context of the last video. It is slightly better than using the last frame, but it has the same problem-- similar problem that it, the quality would decrease. if you extend a few times to, one minute, the video quality would look much worse than the first video. Second, another problem is that the model doesn't have long-range knowledge of, what's happening before. Say, if they generate some dialogue, some, two people speaking, and their voice might change, over some time, especially if the second conditioning, it does not cover the previous context. So these are the core challenges. So the Grok Imagine video extension, it has historical context of all of the previous generated videos. It can, It has, it has the context of, who is speaking and what objects have appeared and everything, having that to generate the next video. So if we naively do this, you can imagine, just, put all of the previous history video tokens into the context. The context lens will easily explode. Especially for video models, that can be like a few, a few million context, I would imagine- context lens. Yes.Yeah.Swyx [00:54:58]: Let's run with that.Ethan [00:54:59]: for example, like in Cosmos, I think just five seconds of video is like a fifty K or sixty K number of tokens. So like if you do, if you do fifty second, that's a five hundred K tokens. If you do longer than that, easily explode. This long horizon, problem was the first step we're trying to solve world model. It turns out people, yeah, people love video extension. Like a lot, a lot of the creators love using video extension to create longer form videos. This is the part I liked that you have a, you have an intermediate step toward the final goal instead of just a straight shot to the final version very much.Swyx [00:55:48]: But I can see you have a strong vision of where we want to end up.Long Context, Redundancy, and Efficient Interactive VideoVibhu [00:55:51]: Does it seem like it's an efficiency issue? okay, we're at a few million tokens context,. If you draw the parallel to language models, we had very short context, two thousand, eight thousand, then, you scale it up one million, ten million. sure, there's effective context, but at the end of the day, it's just what's it worth? sure, there's a whole training data side. In video, it might be slightly easier ‘cause we have a hundred million token video, right? Just take a movie with the full context there. Like is this efficiency from an inference standpoint that like it's expensive, but we know how to solve it? Or like why is this not the approach? So like my broader point was on your second point of world models, you say it needs to be interactive and live, right? You should be able to play a game and see the interaction live. So one thing I see with research is a lot of what you actually serve is different than what you build, right? So we talked about distillation. You train big model, you distill it, you do quantization, speculative decoding. We do all this stuff to serve it efficiently. Should we not just have a solution, like a world model that can interact well, do inference optimization, serve it, distill it secondary, so make it real time after you solve it? So like a-- another parallel is say, continual learning, right? What we need is someone to solve it and show it works inefficiently. Give it a few years, people will make it efficient. Same thing with regular attention, right? It worked. Over a few years, people have different forms of attention, and we've scaled it to be efficient at log context,? So kind of two things there, right? One is it seems like it works. You've scaled it. Can we not just scale it a lot more efficiently over time? Do we need a separate approach if this works? And same thing with interaction, right? if we can get it done, like if we can solve some way that it works, we can solve making it more efficient from an inference standpoint later.Ethan [00:57:53]: that's actually a very good point. So in videos, there's actually a lot of redundancies. So we solve a lot of the pixel redundancy from VE, but there's more redundancy in long range and long horizon videos. Say, if a character appear in the first clip and then it disappeared, it only reappear at the end of the video, you probably don't need the-- the context, like in the middle of the generation. So you only need that character, where you need. So that's why, I helped build another feature. It's a reference video.Vibhu [00:58:36]: Is it here?Swyx [00:58:36]: is it the same model release or different one?Ethan [00:58:39]: It's a different one.Ethan [00:58:41]: You probably need to search onSwyx [00:58:43]: I'll find itEthan [00:58:43]: X reference to video.Ethan [00:58:46]: So reference video allow you to like upload up to seven images as condition and generate the video. Say, if like I want-- it can, it can be characters or objects or even scenes. Say like I want, I want condition on, Sean's selfie and holding a bladeSwyx [00:59:07]: We have a dogEthan [00:59:08]: or whatever.Swyx [00:59:08]: We put the dog in the thing.Ethan [00:59:09]: you can put them there and the video models will generate the video from and copies the context over. So that can solve a lot of the problems there, like the long context problem. It doesn't need to have a very long context, but it's-- I feel like it's an intermediate solution. The modelSwyx [00:59:29]: It's cheating.Ethan [00:59:30]: the model should be able to like selectively know, where should I draw the references. So say if I want to generate a movie, I generate it autoregressive, like a ten second at a time or something. And now this character appear, I can look back to where it first appear and, bring that back. Yeah, this one, I put the references. Yeah, that's, Optimus, Einstein myself, Annie.Vibhu [01:00:02]: Oddly enough, I used Grok Search to find it, and it pulled your LinkedIn post. But yeah we found it.Ethan [01:00:08]: Interesting.Vibhu [01:00:10]: ButxAI's Underrated Work, Culture, and WatermarkingSwyx [01:00:11]: this is a problem. This is not your fault, but like XAI doesn't communicate all this work that you do very well because they just have the model release and then that's it. But actually, these details are very good.Swyx [01:00:22]: As far as I understand, everything you just described is state-art, like no one else has done it.Vibhu [01:00:30]: A lot of-- yeah, I have a lot moreSwyx [01:00:32]: And then, and then you just put this blog post with the cookies. I'm this is not enough,?Swyx [01:00:37]: but I, obviously this is like the high level numbers that people want to know. But no, okay, soVibhu [01:00:42]: And I wonder, like part of that is also some labs don't share research into what happens. And ifSwyx [01:00:50]: No, but this is literally bragging about how good they are, right?Swyx [01:00:54]: Like, why would you not say that you are capable of extending with full context? this is not a secret sauce. This is like we did the work. yeah, I don't know.Ethan [01:01:02]: different labs have slightly different communication styles.Swyx [01:01:07]: Anyway, if anyone from XAI is listening we are always happy to help you tell your story. Yeah, okay, so you did references, and I think, I think kind of the point you're, you're making is it is sort of like a kludge, right? this is-- you can do seven, but what about 100?Swyx [01:01:23]: Right? Then you need a completely different thing.Ethan [01:01:26]: So I think it's-- this is, a mechanism to, select the context from the history, and you might not put the entire history into the context. for example, there's a paper called Frame Pack, which haveEthan [01:01:41]: a heuristic that the latest history, the last one second, I put the entire history, and the history before that, I would, compress it and makes the video smaller. So they follow this pattern, this build overall pattern that the maximum sequence length is fixed. So the further you are from the current frame, you have a smaller image. So this is just a heuristic. I think it can be more automatic. The model is aware like which history part of it can be select. So this part of the research is actually being actively, worked on by a lot of people. It's also quite interesting. I feel this is actually, this part of long context is a little bit ahead of the LLM part.Ethan [01:02:31]: So for example, like in LLMs, if you-- so contexts keep growing. Let's say if you call tool and the tool call history is extremely long, that's still in context, and keep growing, keep growing. Even if you switch the topic to something else, the whole context was there. There are some agentic harnesses that help you to, say, prune the tool results and, prune Like when you, when you query a file, only show like the top 200 lines or something. Those were very heuristic-driven.Swyx [01:03:08]: For listeners, we did a write-up on the cloud code, leak where there are eight different kinds of pruning, including like you prune the tool results and all that. So you can, you can read up on that kind of thing.Ethan [01:03:17]: I think, one breakthrough in continual learning might be like a way to automatically, manage its own context.Swyx [01:03:27]: These are all heuristics, and they will be replaced by machine learning.Ethan [01:03:30]: InterestinglyVibhu [01:03:32]: TheEthan [01:03:32]: the same thing is being researched in both LLMs and video models.Vibhu [01:03:36]: The interesting thing is also like in the paper you showed, it's actually happening at the model level, right? Compared to like language models, sure, we have base attention, but we'll do our own compression, we'll do our own pruning, which is separate from model error.Vibhu [01:03:49]: Eventually, it all just boils in, hopefully.Swyx [01:03:52]: I think this is a form of like attention, but like also know sort of reasoning attention. I feel like that's different than normal attention.Swyx [01:04:03]: Does that, does that make sense?Ethan [01:04:04]: It's, it's different in the sense that attention, not to mention, set sparse attention aside,

We don't know how to quit when it comes to sequels and on that note, some series don't know when to quit; case in point, the 2023 sequel, Expend4bles. That lack of know how lead to grounding this series to halt. You'll hear a lengthy discussion about how this movie starts by getting the simplest of things completely wrong, the uncanny valley quality of the film due to the terrible use of CGI for almost everything except the people populating the movie, and a chat about how this movie proposes that a cold blooded murder is a perfectly fine way to fake your own death. Thanks to our monthly supporters Matt and Vicki S Kate Lampe Daniel Prudhoe Andrew Pangle Steve Weiss Matthew Aldrich Edward Lankford Heather Sahami

On this episode, we talk about the American monster movie that had people talking in 2008, Cloverfield. We talk about the plot, the CGI, Matt Reeves, the wooden acting, and so much more!

Jackie and Danielle are closing out Joshua Jackson May-hem with a howl-worthy deep dive into Cursed, the 2005 werewolf thriller that somehow combines Hollywood satire, suspicious CGI, and one very confused plot. Directed by Wes Craven and written by Kevin Williamson, this horror-comedy had all the ingredients for a cult classic. Instead, it became one of the most fascinating studio messes of the Y2K era.In this episode of the No More Late Fees podcast, Jackie and Danielle break down everything from the movie's troubled production history to the unintentionally hilarious werewolf transformations. They discuss the stacked cast featuring Christina Ricci, Joshua Jackson, Jesse Eisenberg, Judy Greer, and Mýa while debating whether this movie should have leaned harder into horror or full camp.The episode also dives into:Behind-the-scenes drama involving rewrites, reshoots, and deleted footageThe original practical effects that were replaced with CGIJesse Eisenberg's early movie roles and unexpected “glow-up”Judy Greer's standout performance and wild final revealThe strange world of mid-2000s horror trendsFunny commentary about werewolf logic, terrible decisions, and random celebrity cameosFandom hot takes about Joshua Jackson's villain era and the movie's cult potentialJackie and Danielle also share box office trivia, critic reactions, and their present-day Ratings Rewind scores while revisiting one of the weirdest horror movies of the 2000s. Whether you watched Cursed back in the day or are discovering it for the first time, this episode is packed with nostalgic laughs and sharp pop culture commentary.Be sure to subscribe, leave a review, and follow No More Late Fees for more nostalgic movie reviews, Y2K throwbacks, and millennial movie discussions. Share your favorite werewolf movie in the comments and let Jackie and Danielle know if you think Cursed deserves cult classic status.Keywords: Cursed 2005, Joshua Jackson podcast, Christina Ricci movie review, Wes Craven horror movies, Kevin Williamson films, Y2K horror movies, werewolf movie podcast, 2000s movie nostalgia, Judy Greer, Jesse Eisenberg early roles, No More Late Fees podcast, cult horror movies·Season 6 Episode 6·—No More Late Fees ⁠https://nomorelatefeespodcast.com⁠909-601-NMLF (6653)—Follow Us on Social:Instagramhttps://www.instagram.com/nomorelatefees TikTokhttps://www.tiktok.com/@nomorelatefees Facebookhttps://www.facebook.com/nomorelatefeesYoutubehttps://www.youtube.com/@nomorelatefees Twitterhttps://x.com/NoMoreLateFees —CONQUERing⁠⁠myconquering.com⁠⁠10% Off Code: JACKIE10—NostaBeautyhttps://nostabeauty.com 20% Off Code: NMLF—DescriptCreator Plan 50% off 2 monthshttps://descript.cello.so/zp4OQqeIMdq

Can you make a prehistoric documentary without relying on T. rex? We chat to Tim Haines, the man behind Walking with Dinosaurs and the new series Surviving Earth about mammal-like reptiles, giant extinctions, documentary trickery, CGI dinosaurs, weird prehistoric noises and how you make audiences emotionally invest in creatures that may or may not have peed. From gorgonopsians to giant climate shifts, this is a deep dive into both prehistory and documentary filmmaking. Want bonus episodes and extra Terrible Lizards goodness? Head to https://patreon.com/terriblelizards Watch the series in USA THURS 6/11 NBC and peacock. #Dinosaurs #Paleontology #Documentary #WalkingWithDinosaurs #SurvivingEarth

2000s Nicktoon icon Jimmy Neutron: Boy Genius once starred in a ride at Universal Studios Hollywood, right where Despicable Me Minion Mayhem sits today. Other classic Nicktoons pop up too. The graphics were bad. But hey, Henry Gilbert (Talking Simpsons) returns to talk inventor boys, weird early-2000s CGI, and some fun Japan theme park stuff!"Marfalump" episode is up at: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Patreon.com/PodcastTheRide⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠FOLLOW PODCAST: THE RIDE:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://twitter.com/PodcastTheRide⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/podcasttheride⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠BUY PODCAST: THE RIDE MERCH:⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.teepublic.com/stores/podcast-the-ride⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PODCAST THE RIDE IS A FOREVER DOG PODCAST⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://foreverdogpodcasts.com/podcasts/podcast-the-ride⁠ See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Today's funny podcast is basically what happens when sleep deprivation, trivia questions, and pesto sauce collide headfirst at 70 MPH.The gang kicks things off talking about The Boys, confusing CGI timelines, and whether anybody actually understands what's happening anymore in prestige television. Rafe is emotionally spiraling over loose plot threads, Moon checked out seasons ago, and somehow the conversation becomes less coherent from there. Which honestly feels impressive.Then it's time for another chaotic round of Match Up With The Morons — the game where confidence matters way more than intelligence. Moon and Learn square off in a trivia battle featuring fireworks origins, Roman numerals, and the single most dramatic pesto-related answer reveal in modern broadcasting history. There's also an alarming amount of discussion about the attractiveness of the green M&M. Which… yeah. That tracks for this show.Highlights include:Moon accidentally stumbling into the correct pesto answer like a drunk raccoon finding a winning lottery ticketLearn reverse-engineering Roman numerals in real time while actively losing her sanityAn unexpectedly passionate debate over the rarest M&M colorRafe emotionally describing Japanese math-rock like he's reviewing perfume commercialsKing Scott confidently remembering the year Coca-Cola launched as if he personally attended the ribbon cuttingAnd just when everyone thinks the show can't possibly derail harder, somebody on the text line claims Oklahoma borders Mexico. At which point the entire room briefly experiences collective brain failure.This episode of the funny podcast has everything:CGI confusion. Toe jams. Sexy sangria commentary. Mount Rushmore debates. Teddy Roosevelt “in the crevice.” Babushka lore. And enough incorrect geography to get the entire show banned from a middle school classroom.Honestly, this might be one of the most accidentally educational episodes we've ever done. Assuming your education was delivered by raccoons fighting behind a Waffle House dumpster.If you love a funny podcast full of sarcastic chaos, weird news energy, pop culture confusion, and friends aggressively roasting each other for nearly three hours straight, congratulations — you found your people. Subscribe, leave a review, and send this episode to someone who still thinks parsley and basil are basically the same thing.Follow The Rizzuto Show → linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → 1057thepoint.com/RizzShowHear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The Rizzuto Show returns with another completely normal and absolutely stable morning of chaos, confusion, and deeply unnecessary debates. Which means, naturally, things immediately spiral into Roman numeral panic, celebrity rankings, aquarium slander, and a conversation about hot M&M mascots that nobody involved could explain afterward.This episode kicks off with the crew diving into THE BOYS confusion spiral, where Rafe tries to figure out whether the show still makes sense, if the spin-offs matter, and whether TV writers are now legally required to create seventeen timelines for every series. Meanwhile, Riz admits he checked out seasons ago, Moon questions everything, and everyone collectively agrees Homelander might be one of the creepiest TV villains ever created.Then it's time for Match Up With The Morons, where Moon and Learn battle through trivia questions that somehow become emotionally exhausting for everyone listening. The questions seem simple enough at first: first CGI movie, fireworks origins, Roman numerals, pesto ingredients. Easy, right? Wrong. Very wrong.What follows is one of the funniest mental spirals in recent show history as Learn attempts to reason her way through Roman numerals using centuries, millenniums, Charlie XCX, and pure panic. Meanwhile, Moon accidentally reverse-engineers the correct pesto answer while openly admitting he has no idea what herbs are. Honestly? Educational programming at its finest.Elsewhere in the episode, the crew debates whether they're cool now compared to high school, which quickly turns into a surprisingly aggressive discussion about celebrity cool rankings. Samuel L. Jackson gets crowned as one of the coolest humans alive, while Ryan Reynolds catches multiple stray shots for allegedly giving off “annoying rich guy” energy. The gang also debates Matthew McConaughey road trips, Willie Nelson coolness levels, and why some celebrities feel more “beloved” than actually cool.And because this is a daily comedy show built entirely on side quests, the conversation somehow detours into old-school album artwork nostalgia. The crew reminisces about sitting with headphones on, reading CD liner notes like sacred texts, and obsessing over album covers from Guns N' Roses, Green Day, Nirvana, Pearl Jam, and more. If you grew up staring at CD booklets instead of doom-scrolling, this segment will punch you directly in the feelings.Then comes one of the biggest comedy moments of the episode: Rafe's brutally honest review of the St. Louis Aquarium experience. What begins as a harmless tourist outing slowly evolves into a full investigative report involving fake train rides narrated by John Goodman, overpriced tickets, underworked fish, overworked otters, terrifying ropes courses, and a family meltdown happening live above Union Station. The otters, according to Rafe, are carrying the entire business on their tiny furry backs.The crew also tackles:The rarest M&M colorWhy pesto sauce feels suspiciously fancyWhether guns and brunch are a real thingWhy ropes courses are secretly psychological warfareThe emotional damage caused by trivia pressureWhy everyone suddenly misses CD bookletsAquarium economics nobody asked forCelebrity weirdness and rich people energySt. Louis chaos as alwaysIf you're looking for a funny podcast full of sarcastic humor, comedy talk, weird stories, celebrity gossip, nostalgic nonsense, and daily comedy chaos, this episode delivers all of it with absolutely zero structure and somehow even less dignity.The Rizzuto Show continues proving every single day that a comedy podcast does not need focus, organization, or basic emotional regulation to be entertaining. Sometimes all you need is a microphone, some trivia questions, and a complete inability to stay on topic.Subscribe for more daily comedy, entertainment gossip, hilarious fails, pop culture commentary, and unfiltered St. Louis morning show nonsense from The Rizzuto Show.Follow The Rizzuto Show → https://linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → https://1057thepoint.com/RizzShow.Hear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.Off-duty cop rescues girl trapped inside claw machineWho Americans think is coolSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.