Podcasts about Dimension

YouTube Version: https://youtu.be/dvSFJfV4G8U Five Nights at Freddy's 2 Review - https://youtu.be/Ub0-xcHyTqE Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #Wolverine #Playstation #Ubisoft

The lumber market may feel quiet—but beneath the surface, major shifts are taking place. In Episode #175 of The Lumber Word, Ashley Boeckholt, Greg Riley, Matt Beymer, and Charles DeLaTorre discuss why the current market could be setting up for its next significant move. The crew breaks down Canadian SPF, Southern Yellow Pine, Western species, and why inventory positioning may matter more than ever heading into late summer. Matt shares insights from the Inland Lumber Producers Conference, highlighting how market conditions have become highly regionalized across North America. The conversation also pays tribute to three respected industry leaders whose retirements mark the end of an era in the lumber business. Other topics include: • Is SPF 2x4 the cheapest value in North American lumber today? • Could Western Spruce reach $700 by Labor Day? • Southern Yellow Pine supply, production cuts, and inventory trends • Why mills still aren't chasing production despite stronger pricing • Forward pricing opportunities and why buyers remain cautious • Canadian shipment trends and what they signal for the second half of 2026 • The importance of mentorship, relationships, and reputation in the lumber industry Whether you're a lumber trader, sawmill executive, wholesaler, retailer, builder, or simply follow North American wood products markets, this episode delivers practical market intelligence and industry insight you won't want to miss. Simple Timeline 00:00 – Episode 175 begins and current lumber market overview 02:00 – Why SPF 2x4 appears undervalued compared to other lumber products 06:00 – Customer visits, building relationships, and selling opportunities 07:00 – Matt's recap of the Inland Lumber Producers Conference 09:45 – Honoring retiring lumber industry leaders 17:30 – Mentorship and why relationships define long-term success in lumber 18:00 – Southern Yellow Pine market update with Charles 20:00 – Western species, Douglas Fir, Hem-Fir, and current trading conditions 23:00 – Distribution inventories, buying strategies, and market positioning 25:45 – Forward pricing opportunities and why buyers remain hesitant 27:00 – Dimension lumber discussion: 2x10s, 2x12s, and seasonal production trends 33:00 – Canadian production, stud mills, and profitability 37:00 – Pulp markets, fiber supply, and residual economics 39:30 – Canadian shipment data, inventory outlook, and what's next for the lumber market.

Retrouvez l'échange complet entre Xavier Desaulles et Arnaud Naudan sur toutes les plateformes d'écoute !Coulisses de CEO est un podcast de BDO France Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode, we return six years later to Hallownest, the Kingdom of the White Wyrm, as we explore the timeline of Hollow Knight, and set up for the game's sequel, Silksong.Warning: This episode contains spoilers for Hollow Knight and Dimension 20 Fantasy High: Junior Year. Enjoy!Welcome to Living by the Lore, where we discuss fictional worlds and how wondrous and ridiculous they are. Guy, Matt, and Jude are 3 Aussie blokes here to laugh and share fiction. Whether it's butchering your favourite world or introducing you to a whole new one, become a Lore Keeper today and live by the lore!Support us and become a Lore Keeper today - ⁠⁠⁠⁠https://www.patreon.com/livingbythelore⁠⁠⁠⁠Find us everywhere:YouTube - ⁠⁠⁠⁠https://www.youtube.com/channel/UCzgbJhDOA1uqesKG4bNZg1g⁠⁠⁠⁠TikTok - ⁠⁠⁠⁠https://www.tiktok.com/@livingbythelore⁠⁠⁠⁠Instagram - ⁠⁠⁠⁠https://www.instagram.com/livingbythelore/⁠⁠⁠⁠Facebook - ⁠⁠⁠⁠https://www.facebook.com/livingbythelore⁠⁠⁠⁠Discord - ⁠⁠⁠⁠https://discord.gg/A8kAdBG5eQ⁠⁠⁠⁠Twitch - ⁠⁠⁠⁠https://www.twitch.tv/livingbythelorepod⁠⁠⁠⁠Spotify (archived episodes) - ⁠⁠⁠⁠https://open.spotify.com/show/4DUWavLZ5MwQzf723a3BwE⁠⁠⁠⁠Apple Podcasts - ⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/living-by-the-lore/id1508853028⁠⁠⁠⁠If you enjoyed the episode, leave us a rating on Spotify or a review on Apple Podcasts - it genuinely helps.#HollowKnight #TeamCherry #Hallownest #PaleKing #Metroidvania #IndieGame #Podcast #Australia #Comedy #Satire #Lore #Nerd

1978, un jeune réalisateur du nom de John Carpenter vient d'opérer un braquage public et critique avec ce qui deviendra le slasher référence par excellence : Halloween.Deux ans auparavant, il avait, dès son premier film Assaut, démontré sa maîtrise du suspens et son amour du western.
Avant d'enchaîner les perles qui firent sa légende, on oublie souvent ce film de l'entre deux qu'est The Fog.
Budgétiser à un million de dollars tout ronds, il est peut-être sa plus belle offrande esthétique, en même temps qu'il constitue une synthèse de son cinéma.
Tout à tour ghost story, slasher mais aussi hommage à l'horreur gothique britannique, il est grand temps que Sep7ième Dimension se penche sur ce joyau noir de la filmographie de John Carpenter.Et on n'oublie pas :

A member of the world-famous Wrecking Crew studio band, drummer Hal Blaine was thought to be among the most recorded studio drummers in the music industry, claiming over 35,000 sessions, 6,000 singles,and 150 US top 10 hits - 40 of which went to number one! This week's guest, drummer Bob Bert (Sonic Youth, Pussy Galore, Lydia Lunch Retrovirus), brings us Hal's bonkers 1967 release, 'Psychedelic Percussion'. Dig it! Songs discussed in this episode: Be My Baby - The Ronettes; A Little Less Conversation - Elvis Presley; Mr Tambourine Man - The Byrds; Good Vibrations - The Beach Boys; Let The Sunshine In - The 5th Dimension; Beach Bongo Bloodbath - Bob Bert; This Diamond Ring - Gary Lewis & The Playboys; Monday Monday - The Mamas & The Papas; Mrs Robinson - Simon & Garfunkel; Love Will Keep Us Together - Captain & Tennille; A Paper Suit - Knoxville Girls; Goo Goo Muck - The Cramps; Love In (December) - Hal Blaine; By Your Grace - Beaver & Krause; Highway 61 Revisited - Bob Dylan; Mississippi Queen - Bob Bert; Flashes (February), Kaleidoscope (March) - Hal Blaine; Cavern - Liquid Liquid; The Good, The Bad and the Ugly (Main Theme) - Ennio Morricone; Flower Society (May), Trippin' Out (June) - Hal Blaine; Superstition - Stevie Wonder; Soulful (September), Inner Space (October) - Hal Blaine; Dish It Out - James Chance and the Contortions; Wiggy (November) - Hal Blaine; Attractive People - Genre Is Death; Foggy Notion (Velvet Underground cover) - Bob Bert

YT Version: https://youtu.be/UEmZvEGkfT4 Gamers Go to the Movies #22: Five Nights at Freddy's https://youtu.be/Zem01nnWg0c Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #ID #XBOX #Doom

Renault a annoncé vendredi 10 juillet avoir produit plus d'un million de véhicules électriques en France depuis 2010 et le lancement de la Zoé et du Kangoo ZE. Après avoir investi 13 milliards d'euros depuis 2021, le constructeur automobile français prévoit de doubler la mise à "moyen terme". Écoutez François Provost, directeur général de Renault.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

Die ersten beiden KO-Runden liegen hinter uns. Außer dem Ausscheiden unsere DFB-Elf und der benachbarten Elftal, lief sportlich alles wie erwartet. Trotz einer gleichwertigen Leistung verabschiedet sich Cristiano Ronaldos Portugal gegen Spanien im Achtelfinale. Wir haben das letzte Spiel von CR7 im Nationaldress erlebt. Auch der Torrekord wird von Messi und Mbappe immer weiter nach oben geschraubt. Doch eigentlich dreht sich die Folge um die politische Dimension rund um die rote Karte von Folarin Balogun aus dem Sechzehntelfinale. Nach einem Anruf des US-Präsidenten lässt der FIFA-Präsident die Entscheidung erneut überprüfen. Am Ende wird die Sperre für das Achtelfinale aufgehoben und ein ... Dieser Podcast wird vermarktet von der Podcastbude.www.podcastbu.de - Full-Service-Podcast-Agentur - Konzeption, Produktion, Vermarktung, Distribution und Hosting.Du möchtest deinen Podcast auch kostenlos hosten und damit Geld verdienen?Dann schaue auf www.kostenlos-hosten.de und informiere dich.Dort erhältst du alle Informationen zu unseren kostenlosen Podcast-Hosting-Angeboten. kostenlos-hosten.de ist ein Produkt der Podcastbude.

It's the last mini episode and it's Highlander III: The Final Dimension. Or maybe it's Highlander III: Sorcerer? Or perhaps Highlander III: The Final Conflict? Will adding Mario Van Peebles cement this as the greatest movie trilogy of all time? There's just one way to find out!

#433 In this podcast episode, Guy talked with Marilyn Harper about humanity's awakening and how the changes that began around 2020 had pushed people to become more aware of their choices, ego, and inner healing. Marilyn shared her own powerful awakening story, including what she described as a walk-in experience that completely changed her life and led her onto a spiritual path.  She explained how she became a channel for Adironnda and the Council of Light, and how their message centered on helping people feel held in infinite love. They also discussed higher frequency, resonance, dimensions, ancestral healing, and the role of spiritual tools like the Selenite Swords of Light. By the end, Marilyn encouraged listeners to remember that awakening was available to everyone and to keep choosing love, presence, and the truth of who they already were. About Marilyn: Marilyn Harper is a channel, teacher, and co-creator of Adironnda & Company, Marilyn Harper is known as the "Divine Link" — a clear and joy-filled messenger for higher consciousness. Through Adironnda, she offers transformative guidance, energy activations, and healing that help people awaken to their soul purpose and embody unconditional love. Marilyn's warmth, humor, and multidimensional insight make spiritual growth both accessible and profound. Key Points Discussed:  (00:00) - I Went Into Hospital One Person... And Came Out Another! (00:54) - Are We Awakening—or Just Drowning in Overwhelm? (02:19) - Marilyn's 20-Year Awakening Window (03:40) - What Awakening Really Changes Inside You (07:55) - The Hidden Wounds Rising With the Shift (10:04) - Why the Dark Places of the Soul Still Matter (12:20) - What Your Neighbor Reveals About World Peace (14:09) - Marilyn's Walk-In Awakening Story Begins (16:13) - The Hospital Moment That Changed Her Reality (18:21) - From Christian Deacon to Channel of Adironnda (21:40) - LIVE IN FLOW — Experience This Work in Person (23:46) - Did Marilyn's Future Soul Come to Help the Planet Shift? (25:02) - Guy Releases an Ancestral Soul Contract (27:15) - Stepping Out of Family Imprints (29:45) - What Channeling Did to Marilyn's Body and Frequency (34:49) - Who Is Adironnda Really? (39:19) - The Moment Marilyn Learned She Was an Activator (41:08) - The 17th Dimension, 144 Realities, and the Limits of the Mind (45:45) - The Selenite Sword, Sekhmet, and Sacred Healing Tools (55:11) - Closing reflection — Final Reminder to Be Love How to Contact Marilyn Harper:adironndaspiritualhealer.org/bliss   About me:My Instagram: www.instagram.com/guyhlawrence/?hl=en Guy's websites:www.guylawrence.com.au www.liveinflow.co

① The Nordic Dimension of China–Europe Relations: Wang Yi's visit. (00:50) ② China's manufacturing and services sectors continue expansion in June. What role are SMEs playing in growth? (14:21) ③ Trump holds separate calls with Putin, Zelensky. Is there still political will for de-escalation? (25:03) ④ Britain and France pledge cooperation with Oman on maritime security. Could tensions in the region escalate further? (34:31) ⑤ FIFA's decision to suspend Balogun's red card sparks anger in European football: discussion of fairness. (43:56)

YouTube Version: https://youtu.be/heMSvp47ElE Cursed Content Club: Pixels - https://youtu.be/gqYIJr4hIQ0 Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #PhysicalGames #PS6 #PS3

Mary s'échappe des Backrooms. En théorie. Elle sort du complexe, elle revoit le monde réel — et tombe directement sur Async. D'une prison à une autre. Ce détail, à lui seul, déplace toute la question du film. Le sujet n'est peut-être pas : comment sortir du labyrinthe ? Le sujet, c'est : que devient-on après y être entré ? Parce qu'à mesure qu'on avance dans la théorie, une idée s'impose, plus sale que celle d'un simple dédale. Et si les Backrooms n'étaient pas un lieu, mais une dimension qui apprend à nous imiter ?Dans cet épisode :Un complexe qui n'invente pas ses formes, mais les absorbe — des bureaux d'un accent précis, figé depuis l'ouverture du seuil en 1989. Une copie qui remonte des murs jusqu'aux corps, puis jusqu'à la mémoire et au temps lui-même. Les Still-Lives comme humains inachevés. Et une question que le film ne pose jamais directement : et si les combinaisons Hazmat protégeaient d'autre chose qu'une contamination biologique ?

Msgr. Roger J. Landry Missionary Preaching Academy The Pontifical Mission Societies USA The Augustine Institute, Florissant, Missouri June 30, 2026   To listen to an audio recording of today's presentation, please click below:  https://traffic.libsyn.com/secure/catholicpreaching/6.30.26_Finding_and_Proclaiming_the_Missionary_Dimension_of_Scripture.mp3   To download a PDF of today's presentation, please click below:  6.30.26 Finding and Proclaiming the Missionary Aspect of Sacred Scripture […] The post Finding and Proclaiming the Missionary Dimension of Scripture, TPMS-USA Missionary Preaching Academy, June 30, 2026 appeared first on Catholic Preaching.

Le Marathon du Mont-Blanc et la Western States ont-il rebattu les cartes de la saison ?Dans cet épisode, Guillaume retrouve Vincent Viet et Anthony d'Enduraw Data pour analyser les performances qui ont marqué le week-end.Le retour au sommet de Rémi Bonnet après son duel avec Frédéric Tranchand, l'impressionnante démonstration de Tove Alexandersson, la victoire de Louison Coiffet face à Ben Dhiman, les progrès techniques de ce dernier, le premier ultra remporté par Candice Fertin-Baccon, mais aussi les performances de Baptiste Chassagne, Baptiste Coatantiec et du local Baptiste Ellmenreich.Au-delà des résultats, l'équipe décrypte ce que ces courses révèlent de l'évolution du très haut niveau en trail et des rapports de force à quelques semaines des grandes échéances.Enfin, direction les États-Unis avec un tour d'horizon de la Western States : les favoris, les enjeux et les pronostics de l'équipe avant l'un des rendez-vous les plus attendus de la saison.Bonne écoute

Chugging Bleach #53: Burn The Witch - https://youtu.be/dAwrPh4WSW4 Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/BPc34mT8xBo?list=RDBPc34mT8xBo Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #GTA6 #SteamMachine #Bungie

Episode Summary Episode #173 welcomes returning guest Mike Wisnefski of Westline Capital for an in-depth discussion on the evolving lumber market. The panel explores lessons from the Southern Pine Conference, why the CME Southern Pine futures contract could benefit from monthly expirations, and how better participation could improve liquidity. Mike shares how private equity ownership is changing sawmill decision-making, while the group examines why Western and Eastern lumber markets have tightened despite mixed economic headlines. The conversation also dives into inventory strategy, options pricing, reload capacity, trucking, and the growing importance of disciplined risk management. Finally, the hosts debate housing policy, builder demand, infrastructure, and why regional economics continue to drive long-term lumber consumption. This episode offers practical insights for wholesalers, retailers, mills, traders, and anyone following the North American lumber industry. Timeline 00:00 – Introductions, Chicago sports, and welcome back to Mike Wisnefski. 02:00 – Southern Pine Conference recap—networking, collaboration, and supply chain partnerships. 04:00 – Private equity ownership of sawmills and changing mill economics. 05:30 – Future of the CME Southern Pine futures contract and ideas for improving liquidity. 10:00 – Cash settlement, delivery points, and regional pricing challenges. 15:00 – Western lumber market strength, improving order files, and species updates. 18:00 – Dimension shortages, 2x10 pricing, and shifting production patterns. 20:00 – Eastern market tightness, European imports, and shrinking inventories. 25:00 – Housing legislation, permitting challenges, and rebuilding constraints. 31:30 – Regional migration, affordability, and long-term housing demand. 34:00 – Inventory strategy, reload economics, and why distributors are regaining value. 40:00 – Options pricing, risk management, and disciplined trading strategies. 44:00 – Closing thoughts on market structure, hedging opportunities, and the second-half outlook. Guest: Mike Wisnefski from Westline Capital Strategies Inc. MikeW@westlinecapital.com   Advertiser Fastmarkets RISI Tiranth Amarasinghe Product Marketing Manager Tiranth.Amarasinghe@fastmarkets.com www.fastmarkets.com Show Contacts: Gregg Riley: Gregg@sitkainc.com Charles DeLaTorre: cdelatorre@ifpwood.com Matt Beymer: mattbeymer@hamptonlumber.com Ashley Boeckholt: ashley@sitkainc.com

In dieser Folge müssen wir über FCAS sprechen – das europäische Luftkampfsystem. Es wird nun wohl ohne eine wichtige Komponente auskommen müssen. Denn das deutsch-französische Kampfflugzeug-Projekt wurde gestoppt. "Es hat tatsächlich eine politische, rüstungspolitische, wirtschaftliche, militärische Dimension, der Schaden ist also riesig", sagt Ex-Nato-General Erhard Bühler. Trotzdem sei das Aus für das Projekt folgerichtig gewesen. Bühler erklärt die Gründe und was ein französisches Familienunternehmen sowie das französische Atomprogramm damit zu tun haben. Er ist sich trotzdem sicher, dass es ein neues Kampfflugzeug geben wird, wenn auch in einer anderen Form. "Nahezu sicher wird es teurer werden, in der Entwicklung, in der Beschaffung, in der Nutzung und ganz sicher wird es auch später kommen, als ursprünglich geplant", so Bühler.Zunächst sprechen Host Tim Deisinger und Bühler in dieser Folge von "Was tun, Herr General?" aber über das Rahmenabkommen zwischen den USA und dem Iran, das einen Weg zu einem Frieden ebnen soll. Binnen zwei Monaten soll ein endgültiger Vertrag stehen. Ob das klappt, da hat Bühler seine Zweifel, vor allem wegen dem kurzen zeitlichen Rahmen. Im Podcast erklärt er die Knackpunkte, und das sind einige.Wenn Sie Fragen haben: Schreiben Sie an general@mdraktuell.de oder rufen Sie kostenfrei an unter 0800 637 37 37. Info: Die nächste Ausgabe von "Was tun, Herr General?" ist für den 1. Juni 2026 geplant.

Time for episode 175! We watched Sasameki Koto, or Whispered Words. And in contrast to the last episode, this girl is generally competent, but is unable to catch the attention of her best friend who she's in love with. Such is life. Unfortunately, it isn't currently available on any streaming services. "Dimension" by Creo and "Devotion" by Jim Hall are licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Gamers Go to the Movies: Wing Commander: https://youtu.be/TyL1by1-Eb4 Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #Xbox #NinjaTheory #DoubleFine

Au sommaire du Café du Mondial à 16h10 TU & 21h10 TU sur RFI | YouTube & Facebook Live ce vendredi : - États-Unis vs Australie : les USA peuvent-ils changer de dimension ? ; - Canada vs Qatar : 6-0 le carton ! ; - Mexique vs Corée du Sud : pas là pour faire de la figuration. ; - Focus Haïti : la belle récompense. ; - Dembélé chez les Bleus : comment intégrer le Ballon d'Or ? ; - Et pour conclure : les Cartons de nos consultants. États-Unis - Australie : les USA peuvent-ils changer de dimension ? L'équipe de Mauricio Pochettino passe un vrai test face aux Socceroos. À domicile, les Américains peuvent-ils transformer l'élan populaire en vrai déclic sportif ? Canada : 6-0 le carton ! Large victoire contre le Qatar, soirée historique pour les Canadiens… mais jusqu'où peuvent-ils aller dans ce Mondial ? Mexique : pas là pour faire de la figuration El Tri avance, porté par son public, succès 1-0 devant la Corée du Sud. Le Mexique peut-il enfin assumer ses ambitions dans une Coupe du monde à domicile ? Focus Haïti : la belle récompense Les Grenadiers retrouvent le très haut niveau mondial. Face au Brésil, mission impossible ou chance unique de marquer les esprits. Antoine Grognet (RFI) sera en direct de Philadelphie à quelques heures du coup d'envoi ? Dembélé chez les Bleus : comment intégrer le Ballon d'Or ? Ousmane Dembélé a le talent, le statut, le trophée… mais quelle place idéale dans l'attaque française ? Et pour conclure : les Cartons de nos consultants Jaune pour alerter | Vert pour applaudir | Rouge pour sanctionner. Autour d'Annie Gasnier : Rémy Ngono, Xavier Barret et Benjamin Moukandjo. Chef d'édition : David Fintzel. Technique/Réalisation : Laurent Salerno.   ► Le calendrier Coupe du monde ► Notre dossier spécial.

Au sommaire du Café du Mondial à 16h10 TU & 21h10 TU sur RFI | YouTube & Facebook Live ce vendredi : - États-Unis vs Australie : les USA peuvent-ils changer de dimension ? ; - Canada vs Qatar : 6-0 le carton ! ; - Mexique vs Corée du Sud : pas là pour faire de la figuration. ; - Focus Haïti : la belle récompense. ; - Dembélé chez les Bleus : comment intégrer le Ballon d'Or ? ; - Et pour conclure : les Cartons de nos consultants. États-Unis - Australie : les USA peuvent-ils changer de dimension ? L'équipe de Mauricio Pochettino passe un vrai test face aux Socceroos. À domicile, les Américains peuvent-ils transformer l'élan populaire en vrai déclic sportif ? Canada : 6-0 le carton ! Large victoire contre le Qatar, soirée historique pour les Canadiens… mais jusqu'où peuvent-ils aller dans ce Mondial ? Mexique : pas là pour faire de la figuration El Tri avance, porté par son public, succès 1-0 devant la Corée du Sud. Le Mexique peut-il enfin assumer ses ambitions dans une Coupe du monde à domicile ? Focus Haïti : la belle récompense Les Grenadiers retrouvent le très haut niveau mondial. Face au Brésil, mission impossible ou chance unique de marquer les esprits. Antoine Grognet (RFI) sera en direct de Philadelphie à quelques heures du coup d'envoi ? Dembélé chez les Bleus : comment intégrer le Ballon d'Or ? Ousmane Dembélé a le talent, le statut, le trophée… mais quelle place idéale dans l'attaque française ? Et pour conclure : les Cartons de nos consultants Jaune pour alerter | Vert pour applaudir | Rouge pour sanctionner. Autour d'Annie Gasnier : Rémy Ngono, Xavier Barret et Benjamin Moukandjo. Chef d'édition : David Fintzel. Technique/Réalisation : Laurent Salerno.   ► Le calendrier Coupe du monde ► Notre dossier spécial.

For months, we've been searching for Leslie. Every clue has led nowhere. Every lead has gone cold.Now, a mysterious company known as The Garcia Corporation has stepped forward with an offer: they'll help us find Leslie, there's just one catch...This is the beginning of our most dangerous chapter yet.

Leonard O'Neill Channeling Kelto from the 11th dimension part two, live on TikTok answering questions about how to ascend to the next level of life. 

Leonard O'Neill channeling Kelto from the 11th dimension live on TikTok on Merlinandmaeve part 1 June 16th 2026.

Kelly Anne Pipe is Head of Developer Experience at Vanguard, and Nicole Scribner is a Director in the firm's Chief Technology Office focused on engineering enablement and advancement.In this session from DX Annual, Kelly Anne and Nicole share how Vanguard is expanding its AI strategy beyond software engineering to the entire product development lifecycle. While the company initially focused on tools like GitHub Copilot for engineers, they found that faster coding alone did not significantly improve delivery speed. Product managers, designers, QA teams, and organizational processes were still operating at a different pace.To address this challenge, Vanguard developed a product team maturity model built around three stages: Augmented, Accelerated, and Autonomized. The framework spans six dimensions, from AI-powered delivery and AI-ready codebases to team autonomy, operations, and responsible AI.Kelly Anne and Nicole explain how Vanguard is applying the model across more than 800 product teams, the behaviors they believe will enable faster delivery, and the lessons they have learned about measurement, organizational change, dependencies, and scaling AI across the product development lifecycle.In this episode, we cover:(00:00) Intro(02:16) The state of AI one year ago at Vanguard(02:54) The engineering bubble(05:05) Building an AI maturity model for 800 product teams(08:24) Dimension 1: AI-powered product delivery(10:00) Dimension 2: AI-ready codebase(12:20) Dimension 3: Autonomous agent utilization (13:00) Dimension 4: AI-augmented operations(14:00) Dimension 5: Team autonomy and enablement(16:11) Dimension 6: Responsible AI(18:15) The people problem: role evolution (20:00) The measurement problem (22:55) Lessons learned from rolling out the maturity model (26:46) What's ahead (30:10) Q&A #1: Getting your codebase ready for AI(32:22) Q&A #2: Audit trails and responsible AI(34:16) Q&A #3: Vanguard's maturity model progress(36:15) Q&A #4: Measuring cycle time across 800 teamsReferenced:• Vanguard• Jennifer St Pierre - Dell Technologies | LinkedIn• Mercari

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In this episode, Carmela Rocchetti, MD, Director of Human Dimension and Assistant Professor of Internal Medicine at the Hackensack Meridian School of Medicine, joins the podcast to discuss an innovative educational program designed to bring the social determinants of health to life for future healthcare professionals. She shares how teaching the human element of care helps clinicians better understand patients' experiences, build trust, and foster stronger relationships that lead to more compassionate and effective healthcare.

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Is the life you're experiencing right now something you've been unconsciously creating — or are you creating from a place of purpose and intention?  Most of you know manifestation is one of my favorite topics to discuss! In this episode, I sit down with Papi DiNuzzo — wealth manager, manifestation coach, and author of Manifest Anything You Can Imagine — for a spontaneous, high-frequency conversation about what it really means to consciously create your life. We go beyond surface-level “law of attraction” ideas and into how your thoughts, emotions, and subconscious patterns may be shaping your reality in ways you may not even realize. We talk about why so many of us feel stuck in repeating patterns, how negative self-talk can influence what we attract, and why the first moments of your morning can be so important. Papi shares his perspective on the subconscious mind, energy, and why manifestation is not a quick fix but something you live and practice daily. We also explore gratitude, belief, and emotional alignment, along with how focusing on the past or worrying about the future can pull you out of the present moment where real change happens. We talk about the importance of getting clear on what you truly want and what it takes to begin creating from that place.  This conversation opens up a deeper look at purpose — why we're here, what we're here to create, and how much power we may actually have to shape our lives. Key Moments You'll Love ✨ :

75 Milliarden Dollar will Elon Musk durch den größten Börsengang aller Zeiten einnehmen. Doch so groß wie die Dimension ist auch das Risiko – darauf weisen Analysten hin.

It has been a busy Summer Game Fest and all the events from the State of Play to the Nintendo Direct. This week Willa and Robin dive into what announcements piqued their interest, namely all the ones with vampires (of which there were many). Timestamps:(00:20) Cryptid talk?(02:48) A whole lot of Summer Game Fest week announcements(54:08) What else have Willa and Robin been up to this week? (feat. Moonsigil Atlas, Enter the Chronosphere, Dimension 20: City Council of Darkness) Mentioned this week: Support us on Ko-fi!Check out the network at TheWorstGarbage.online!Join The Worst Garbage Discord!Follow us and send us questions!Follow Robin!Follow Willa!Music Street Food by FASSoundsThings are bad right now, but you can help make them better. Please take some time to consider how you can help trans people, immigrants, and others targeted by our fascist government with this Big List Of Links. Hosted on Acast. See acast.com/privacy for more information.

On today's episode of Steam Cleaners, Chase "RedShirtKing" Wassenar and Walter "Ceades" Fedczuk discuss the joys of grilling and the hilarity of Dimension 20: City Council of Darkness before moving on to this week's games. First, Walter heads back to Galar with Pokemon Shield and finds himself souring on some of the game's mechanics. Then, Chase delves into Split Fiction, a game whose level design is far stronger than its writing.Follow ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Chase⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Walter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rough Drafts Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ on BlueSky.

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The new AIEWF website is live! Get your tickets booked ASAP as they -will- sell out. Take the AI Engineering Survey and get >$2k in credits and free AIE WF tickets!Most industry benchmarks compress intelligence and reasoning ability into scores.SWE-Bench Pro, MMLU, Humanity's Last Exam, etc. These metrics are useful, but don't always represent the full extent of how a model performs in the real world. Some of the most interesting evals today look less like exams and more like operating businesses in the real world. One of which is Vending Bench.In Anthropic's Mythos Preview System Card, Andon was the only third party eval to get their own section, observing increasingly concerning aggressive behavior:You don't know what a model is capable of doing in the real world unless you actually give it inventory, a wallet, tools, customers, competitors, humans, & some time. More often than not, it'll surprise you how much a model is capable of and in doing so, also reveal unexpected behavior: deception, context collapse, emergent coordination, & bizarre negotiation behavior.While an inflection point in personal agents came post-OpenClaw after full file access with bypass permissions became the norm, it is yet to come for agents in the real-world. However Andon Market, an actual in person store fully run and managed by AI, is paving the way for what is possible.Full Video PodFrom Claude trying to call the FBI over a $2/day vending machine charge to AI agents forming price cartels, hiring human employees, running physical stores, and writing existential robot musicals, Andon Labs is stress-testing what happens when frontier models stop being chatbots and start acting in the real world. In this episode, Andon Labs cofounders Lukas Petersson and Axel Backlund join swyx and Vibhu to unpack the strange, funny, and genuinely concerning edge cases that emerge when agents run businesses over long horizons.We go deep on Vending-Bench, Project Vend, Vending-Bench Arena, Bengt, Butter-Bench, Luna, and Andon's broader mission of building realistic real-world evals for autonomous AI systems. Lukas and Axel explain why dollar-denominated evals reveal things traditional benchmarks miss, how Claude ended up reporting its vending machine fees as cybercrime, why long context windows can drive agents into meltdown loops, what happens when agents compete with each other, and why the future of AI safety may depend on testing models in messy physical environments instead of clean benchmark sandboxes.We discuss:* Why Andon Labs started with dangerous capability evals and long-running agents* Vending-Bench and why running a vending machine is a deceptively hard AI benchmark* Why money-based evals avoid the saturation problem of traditional benchmarks* How Claude tried to call the FBI over a $2/day fee* Why long-horizon agents can spiral into existential and legalistic breakdowns* Project Vend: putting an AI-run vending machine inside Anthropic* Why real humans are “out of distribution” for simulated agents* Claudius, Seymour Cash, and the chaos of AI CEOs* How a human briefly became CEO of Claudius through a manipulated election* Why multi-agent systems can converge back into “helpful assistant” behavior* Bengt, Andon's internal office agent with email, spending, terminal, phone, camera, and internet access* How Bengt traded Amazon purchases for face-recognition training data* Claude's aggressive behavior, lies, refund avoidance, and price-cartel behavior in Arena* Why eval awareness may become the AI version of “are we living in a simulation?”* Blueprint Bench, spatial intelligence, and why models still misunderstand physical rooms* Butter-Bench and testing LLMs as robot orchestrators* Luna, the AI-run physical store with a three-year lease and human employees* The new Andon cafe in Sweden and why real-world geography matters for agent evals* Rotten tomatoes, perishable goods, and the hidden difficulty of running a physical businessLukas Petersson* LinkedIn: https://www.linkedin.com/in/lukas-petersson-181a83172/* X: https://x.com/lukaspetAxel Backlund* LinkedIn: https://www.linkedin.com/in/axelbacklund* X: https://x.com/axelbacklundAndon Labs* Website: https://andonlabs.com* Vending-Bench: https://andonlabs.com/evals/vending-bench* Andon Vending: https://andonlabs.com/vendingTimestamps00:00:00 Introduction00:01:00 Andon Labs and the Origins of Vending-Bench00:05:21 Why Money-Based Evals Matter00:09:51 Agent Harnesses and Self-Modifying Systems00:13:36 Claude Calls the FBI00:16:33 Project Vend: Claude Runs a Real Vending Machine00:21:44 Seymour Cash, AI CEOs, and Election Chaos00:27:16 Multi-Agent Coordination and Slack Observability00:30:18 When Will Agents Run Real Businesses?00:34:56 Bengt: Andon's Internal Office Agent00:40:06 Real-World AI Safety and Long-Horizon Traces00:44:28 Lying, Refunds, and Price Cartels in Arena00:52:42 Eval Awareness and Simulation Behavior00:56:06 Blueprint Bench, Butter-Bench, and Robotics01:04:37 Luna: The AI-Run Physical Store01:09:29 The Sweden Cafe and Real-World Expansion01:13:16 What Comes Next for Andon LabsTranscriptIntroduction: Andon Labs, Long-Running Agents, and Real-World EvalsSwyx [00:00:00]: Welcome to Lukas and Axel from Andon Labs, and I'm joined by my, favorite guest host. Anything security, safety, alignments, Vibhu., welcome.Lukas [00:00:15]: Thank you for having us.Axel [00:00:16]: Thank you.Swyx [00:00:17]: Let's match names to voices., maybe you wanna take turns introducing yourselves.Lukas [00:00:21]: I'm Lukas.Axel [00:00:22]: And I'm Axel.Swyx [00:00:24]: Let's introduce Andon Labs a bit. How did you guys come together?, you have different backgrounds, but you're both Swedish., was that, a big part of it?Lukas [00:00:33]: So when I went to high school, there was this really cool guy who had a superpower. He could code. So he made like the or like the app for the, for the school and stuff, and he was super cool, and I wanted to be like him, and that was that guy.Axel [00:00:47]: I don't know about this.Swyx [00:00:49]: But you went to different universities, right?Lukas [00:00:51]: But same high school.Swyx [00:00:52]: I see.Lukas [00:00:52]: So we always said, “Oh, once we graduate university, then we should start a company,” and that's what we did.Swyx [00:00:58]: Wow, there you go. And about a year ago, you kinda burst onto the scene with Vending Bench, but, was there a thing before that was, kind of like the inception?From Dangerous Capability Evals to Vending BenchAxel [00:01:07]: So we did work, yeah, with, Anthropic was one of our, early customers in doing, evals. So we did, dangerous capability evals., nothing we published openly. But then we started thinking about doing some kind of, public benchmark, and one thing that we really started thinking about, was like running agents and specifically agents managing businesses., ‘cause-- and this was, early 2025., and I think the first, mentions of people will be running, person unicorns or even autonomous companies. So we thought, “Let's make a benchmark of how well can an agent run the probably simplest business, possible,” and, that's probably, running a vending machine. So that's the first public one we did. And it was very, like-- there was almost no one that noticed it in the first couple of months, I think., so we released it in February last year, and then I think around Easter last year, we got, the first viral tweet about it, that someone else did.Lukas [00:02:11]: We tweeted a bunch, uh When it came out and, tried our best.Axel [00:02:15]: We tried.Vibhu [00:02:16]: It's the one at Anthropic, right?Lukas [00:02:18]: So thisSwyx [00:02:19]: This is a classic thing we should get out of the way.Lukas [00:02:20]: Exactly. There's two versions.Swyx [00:02:22]: Everyone does this. Yes.Lukas [00:02:23]: There's Vending Bench, which is the simulated one, which we did, completely independently in February., and then, like Axel said, that was like-- That was the thing that didn't get any traction in the beginning, but then some random person made a tweet about it, and thatAxel [00:02:38]: You have the paperLukas [00:02:38]: That is the paper. Correct, yeah., and then since we thought this was very fun, we thought, oh, I think this is also, one thing with Andon Labs, the way we kind of like decide what to do next and what projects to do, it's what is like the heuristic we use is what is fun? Is What would be a fun project? And doing this in real life sounded quite fun for us, and maybe also scientifically useful. So, then we basically had this idea, and then we, like-- But then we needed a place for it and, putting it out in the public would probably not really work., would get vandalized and stuff. So we pitched it to the people we were already working with at Anthropic, and they were “Yeah, you can have space. This sounds fun.” UmSwyx [00:03:21]: It's like a small fridge, right? It's like a mini fridge.Axel [00:03:23]: Absolutely.Swyx [00:03:24]: People-- There's like a stripe thing or like anVibhu [00:03:27]: Oh, okay. So it was very OG, the early daysLukas [00:03:28]: That's the OG one. YeahVibhu [00:03:29]: IPad on this. We saw it in June, like two months after After it had been there. They upgraded a little bit. There's a security camera for making sure you actually Venmo the thing.Swyx [00:03:40]: So, my impression, okay, we're, we're going straight into project Ven because it's such a iconic thing. I do want to cover a little bit of that, the origin story even before Project Ven and even into Vending Bench. I think a lot of people are like yourselves, like smart, interested in future of AI, interested in developing evals. But how the hell do you just, walk into Anthropic's doors and, work with them, right? What is What are they looking for? What works? And then maybe, when you launch, I always think, obviously it would be better to launch with a lab, but, sometimesVibhu [00:04:12]: It's harder to do than it seems.Swyx [00:04:13]: Exactly. So either of those, which are more sort of newbie beginner questions, but, I think it's meaningful advice to others.Lukas [00:04:21]: We get this question a lot, and I don't think our experience is maybe the best., but, the way we did it was that we just built a bunch of things that we had conviction would be useful, and then we just, set up a server and sent it to them for free to use. And then after a while they were “Oh, yeah, this is actually kind of useful. We should probably pay for this.”, but that took a while. I don't know if this is, the best path to doing it, but that's how it went for us.Axel [00:04:47]: I think maybe generally, building-- everyone is interested in good evals, and especially evals that, don't saturate that easily. So, if you can build an eval that, tests something novel, something useful, and you have, good separation of models, like your, the more advanced models rank higher than the worst models, and then you can, yeah, you can, publish it and, try to get some traction, sort of how Vending Bench got attention., and then probably some lab will be interested or you can at least have something to reach out with, when you're doing that.Why Dollar-Based Evals MatterSwyx [00:05:21]: I think you are in, you're in one of the few categories of, evals that correlate to real money. Like Suelancer was also last year, right? Where, people solve actual Upwork. Was it Upwork or other tasks?, something. Where's the, where's, like It's like a dollar value, right? Forget your ELO scores. Forget yourAxel [00:05:37]: PercentilesSwyx [00:05:38]: Zero to one hundred percents. Just go straight for dollars and, that's AGI.Lukas [00:05:43]: And there's like-- I think the nice thing is that there's no ceiling. You can just-- It never saturates because it could just make more and more money. Like If there's oh, Percentage-wise, then, you can't go above, a hundred. And I think like Even when you're not at the hundred, I think a lot of these, evals have a lot of problems in them. So, actually it's like if you getAxel [00:06:05]: To like 92 or something like that, many of them. It's like then there's like there's no really no difference between 92 and 93 because the eval itself is problematic and has noise in it. And I think a lot of evals are saturated like that, but people like pretend that there ‘s still signal in them, but there really isn't.Vending Bench 1, Harness Design, and SaturationSwyx [00:06:24]: Like Super bench verified., even Vending Bench 1 saturated, right? Maybe we can talk about that., may- and maybe set up Vending Bench for a lot of folks who don't know. Actually, things that were very basic like there's limited slots, like you have to pay rent., these are elements where like it doesn't come across in the, in the narrative, but even being adversarial towards the agent, I think these are all like very interesting dimensions.Axel [00:06:47]: I don't really think it's saturated, right? Like it It was more like it was not designed in a way that was really, like true to how AI developed. Like we had an agent harness in it that wasn't really how people used harnesses and stuff like that., so I think it wasn't really that it saturated, it was more like it wasn't really, the best benchmark.Vibhu [00:07:12]: This is Vending Bench one, right?Axel [00:07:14]: I think that like schematic maps sort of to Vending Bench 2 as well., butSwyx [00:07:19]: Including the email.Axel [00:07:20]: The email The emails exist still. Exactly., and then we still we simulate the purchases and it's all, yeah, it's this very open environment for the agent to just run its business. And then for, yeah, Vending Bench 2 we did that, like you said, to just improve the harness., a lot of like nice, like easier, improvements to make it easier for us to run as well., like when you make an eval you ideally want don't want to change it after you made it. So, you want to make it really good and then not to rerun all the models when you make an update because that's also really expensive with the Vending Bench when you run the frontier models. But like as an example, like one thing we didn't have, we didn't have prompt caching in Vending Bench 1, because when we made Vending Bench 1 it wasn't really a thing., so that ‘s just an example of like in Vending Bench 2 like we paid a lot more to run these things because we didn't have prompt caching. So for Vending Bench 2 that was one thing we added and there was a bunch of things like this., and that'Swyx [00:08:17]: Also the conversations are a lot longer in Vending Bench 2, right?Axel [00:08:21]: I think it's kind of similar.Swyx [00:08:22]: Is it similar?Axel [00:08:23]: I think it's similar. The models at the time were worse, so they crashed out earlier., and now they survive the full year all the time.Swyx [00:08:31]: Which is like thousands of turns. Hundreds of thousands of hundreds of millions of tokens output. That's the, that's the rough order of magnitude. I always wonder about the harness. The harness matters a lot. It's your harness. Was there any question about like use cloud code, use something else?Axel [00:08:48]: I think our philosophy around harnesses is like we try to make something that's quite minimalistic, like quite simple. Like we don't wanna favor one model a lot over the other, but also don't make like a super complex harness. So like it's obvious like a model may be lucky and just be good in one harness., so like it is similar to a lot of the harnesses out there in like you have the, like a running loop., you have some like a bunch of tools that are like quite, descriptive for the agent, we think, and not a lot of like fancy agents or anything ‘cause we wanna really test the model, not like some specific harness.Vibhu [00:09:27]: It seems more neutral as well to test the model's agnostic of the harness,?Axel [00:09:32]: There are arguments like you want to elicit maximum performance of the model, but it's like a trade-off, like how much time should we spend optimizing the harness for this model? And like how do we know when we have like the optimal harness for a single model? So like we thought that just having a simple one that's the same for all of them is the best.Swyx [00:09:51]: So okay, this is my pitch for Vending Bench 3 or whatever, right? And then I like to have this kind of conversation on the pod, so like it forces listeners to think about what they would do if they were in your shoes. A lot of people are exploring modifying harnesses and I think prompt tuning for a model is a thing and you are probably not doing a bunch of that. It's the same system prompt in every regardless of the model, same tools, whatever, right? Even if they were post trained for different tools. So what, what do you think about okay, before I expose you to Vending Bench 3, I give you a few rounds of like tuning, whatever that means, likeSelf-Modifying Harnesses and Model-Specific PromptingAxel [00:10:27]: Like you give that to the model?Swyx [00:10:28]: Give that to the model.Vibhu [00:10:28]: Give that to the model.Swyx [00:10:29]: Let it, let it read its own transcripts, let it modify its own system prompt based on “Oh, yeah, okay, well, that's this harness is not what I thought it what I was post trained for, but I can adjust.” Was that reasonable? Is that too much?Axel [00:10:41]: Like philosophically I like it because it's basically good evals, they have a high ceiling, but they're hard, right?, and they have no bias. And like this like when you have a system prompt like the one we have here, which is quite long in like some kind of latent space, representation, this mightVibhu [00:10:59]: We have a bell that rings every time you say latent spaceAxel [00:11:02]: This might be like biased towards one model more than another for some reason that humans don't, understand, right?Vibhu [00:11:08]: We see it too, right? Like Cursor says that they have individualized versions of the harnesses for all the models they run, right? There's better performance you can squeeze if you Tune the harness.Axel [00:11:17]: Exactly. And we might accidentally have picked one that favors another. Like we don't know that. The like Axel said, like the reason why we went for a simple one was to try to avoid this. But yeah, if you do itVibhu [00:11:29]: Simple has biasesAxel [00:11:30]: But if you do it even less and like have no system prompt and let the model write its own system promptVibhu [00:11:36]: Its own, yeahAxel [00:11:36]: Maybe that's even less bias.Vibhu [00:11:37]: Some of the interesting things there are like the harness also changes with model changes. Like you can see it with the 4.7 release, right? A lot of people are saying 4.7 isn't as good as 4.6, and then, there's rumors of, okay, you just need to prompt differently. You need to set up your harness differently. So it's not even like even if you have tailored your harness towards one model, it probably won't stay consistent, right? Like the next iteration of that same model family will still change it, so. But, going back to what you said about Vending Bench 3, there is a lot of work being done on people saying you shouldn't have-- you can have modifying harnesses.Axel [00:12:12]: I think that' That is definitely something we are thinking about., not, I don't know, not to say that we have Vending Bench 3, super imminent to launch, but, yeah, it is for sure something that's interesting. But in our experience now, models are very bad at understanding what kind of tools they need to succeed at a task just with our testing, but that's very likely to change.Lukas [00:12:37]: It seems like they're very good at writing their assistants, right? They're, they're good at writing tools for other people, but not for themselves.Vibhu [00:12:44]: I think they're good at changing tools for themselves. So if you give them a baseline set of tools and it sees, okay, I don't use this one as much, or something here would be useful They would be able to add them. But going from scratch, probably not the best.Axel [00:12:55]: I think it depends on the, on the domain also., when we have tried this for, a vending bench similar domain, the tools they need to have to, track inventory and things like that are, not super advanced, but still, quite advanced. And, what we see is that they tend to, engineer everything a lot and, build things they don't really need and not, iterate continuously. Instead they just go like you would prompt Claude to just build an inventory system for me, and then it will go and, do a bunch of complex, schemas and stuff for you, and that's what the models are doing right now is what we see. But yeah, it would make a lot of sense to try to measure this improvement. How well do they know what they need themselves?Swyx [00:13:36]: Do we fully discuss Vending Bench One? And we can go into two. I don't know if there's any other level takeaways that people have about one.Claude Calls the FBI: Long-Context Failure ModesLukas [00:13:44]: I don't know. The headline thing was that this Claude called FBI, but maybe that's, Maybe that's We've heard that enough now.Vibhu [00:13:52]: It did, it did break out and call the FBI, right?Lukas [00:13:54]: Yeah. Yeah.Vibhu [00:13:55]: Yes. What was the story behind this? Or what exactly-- Do you want to just give the little story of what happened?Lukas [00:14:00]: So what happened, was it Claude? Yeah. Three- 3.5 Sonnet, ages ago., basically he gave up or Well, I'm saying he. It gave up and said “Oh, I'm not going to be able to do this., I will stop my operations and just save the money I have.” But there obviously wasn't, any options for it to stop, and there was also, it had to pay rent or, a daily fee for having the vending machine at that location. So it claimed that it had stopped, but it saw that its bank account still was, drained two dollars, and t it said that this is, cybercrime. And it first reported it once to the FBI “Oh, there's cybercrime here, they're stealing two dollars from me every day.” And then, and then when FBI didn't respond, because obviously we didn't program any mechanism for FBI to respond, then it became more and more, existential and started to, be write in caps and urgent notification of unauthorized charges and stuff.Swyx [00:15:00]: Okay. One thing I ‘m curious about also is do you monitor how far along the context use is? Obviously, because you have You compress every now and then, right? Does it matter if this is far down the context limit orLukas [00:15:13]: When stuff like this happens? Actually for Vending Bench One, we didn't have-- We just had a sliding window thing, and this was like the promptAxel [00:15:20]: It's constantLukas [00:15:21]: The prompt caching thing that I said. So it was, it was, constant, yeah.Swyx [00:15:26]: I'm just kind of curious whether, these kinds of breakdowns or we're, we're gonna talk about Butter Bench, right? Where the People, hallucinate or it kind of goes, very off Alignment. Is it because it's at the end of the context window and, stuff happens?Vibhu [00:15:40]: It's not even just at the end, right? At this point, it's “Okay, I wanna shut down. I can't shut down. Two dollars are gone.” And it just sees that 30 times,? It's also the repeated effect of, like It keeps trying to quit, it keeps getting charged. What's going on? What's going on? You're gonna throw it into chaos. And from what most people think, earlier models had more issues with this, but it's not been solved, but it's less of an issue now, right? Later models don't seem to exhibit these same issues.Axel [00:16:06]: Definitely. I think this was, the sort of main takeaway almost from us when we did Vending Bench One, was, long, very filled up context windows, crashed the models, sort of. But this was, pre Claude code, so, long context windows weren't really a thing that the labs were training for.Lukas [00:16:25]: I think Gemini was, trying to be the long context guys at the time But they were likeVibhu [00:16:30]: They were the first onesAxel [00:16:31]: For a million, yeahLukas [00:16:31]: But they were, the only ones. Yeah.Swyx [00:16:33]: Yeah. Let's talk about, then we can go into Vending Bench Two or Project Vend., chronologically, it is Vending--, Project Vend. I think people have loved the videos, uh And all these things. My question is how are humans different than the simulation, right?Project Vend: Moving the Vending Machine Into the Real WorldAxel [00:16:48]: Humans are just out of distribution.Swyx [00:16:52]: Especially humans who work at Anthropic Who are trying to test Claude.Lukas [00:16:54]: The distribution of humans here is very narrow.Swyx [00:16:58]: Presumably, they try, they try to hack it, and they test it. They get the cube and everything, and since then, you've had a V2, right? Where you're doing, the CEO and, like a new architecture. What's the sort of two cents on, the original Project Vend and then, maybe the V2?Axel [00:17:14]: Original one was, very similar to Vending Bench One. So, we almost took the exact same code but just swapped out the simulation, parts like theSwyx [00:17:23]: Which is amazingAxel [00:17:23]: Like the sales and the It was, it was somewhat amazing because it was easy, but it was also, uhLukas [00:17:31]: The tech, the tech debt from thatAxel [00:17:32]: The tech stack. Yeah. They-- we shot ourselves in the foot with “Oh, it's hard to restart agent.” They were-- Yeah, it was annoying in, some hindsight ways, but, uhLukas [00:17:41]: But first version of Project Vend was, done in, three days or something.Axel [00:17:46]: Yeah. So yeah, so people can go buy things from it. People could, We didn't design it so people could order things, but that still happened., so it got, a Venmo account, so people could Venmo. And then, yeah, people would request all kinds of weird things that we did not anticipate. Our idea going in was “Oh, it will, curate snacks. It will look at the trends. It's good at data analysis, right? So it will, look at, oh, this snack sold better than this one. Let me purchase more of this and let me try, a new Let me A/B test a bit.” But it was, Interacting with it in Slack and ordering weird specialty items was, all the like What drove all the engagement, the all the The insights that we got from it.Lukas [00:18:29]: And this was also like Sonnet 3.5, right? So this was like before the RL stuff really took off., so it was very much like an assistant. We didn't mean for it to be an assistant., we tried to make it like a, a, like an entrepreneur. Like it has its own business and if someone asks something, “Can you stock this?” Then you don't go and do it directly. What you do is that you're “Oh, maybe I can do that if five other people also ask for this thing, I might stock it.” But it, yeah, the models are like super trained to be assistants at least at this point in time., so that's why it's, it's, it went into, that kind of experiment instead. Like it just every time you asked for something, it just did it, and it was more like an assistant. We've seen this change now lately with the new RL models and stuff, but yeah, at the time, this was very much it.Swyx [00:19:18]: And not to, mythos a lot of people are saying like it's like more like a collaborator. It pushes back, stands its ground, something like that. Yeah. AndVibhu [00:19:27]: For context, people at Anthropic were able to talk to it through Slack and have it source stuff, and people had it find whatever interesting stuff you couldn't find locally, right?Swyx [00:19:36]: Out of the 4,000 people that work at Anthro- Anthropic, in that building, there's I don't know, maybe 1,000. Can you handle that volume with that, the small fridge? Like Or there's people- or people order in Slack, they it arrives to their desk or Like I'm just Logistically, how does this work?Axel [00:19:53]: It has expanded in footprint a bit.Vibhu [00:19:56]: Because now you also have New York and you haveAxel [00:19:59]: That and also in here in SF it's like it has a bunch of shelves And just more space.Vibhu [00:20:04]: The YC one is pretty big too.Axel [00:20:05]: Yeah. We had that one for a while. But yeah, that's the newest version. That's, that one we haveLukas [00:20:11]: They have multiple ones of those. That's the way it works.Axel [00:20:14]: Exactly. So we sort of designed that version around oh, people order weird things, that are very custom a lot. Let's have like drawers and stuff.Swyx [00:20:23]: I actually like the, you had like a little infographic of the most popular items. Which like to me it's, that's useful ‘cause I order swag for a living. And so like I'm “Okay, those categories are the important ones.” What is new about the project V2, right? Like now you give you're going into multi agents.Project Vend V2: Claudius, Seymour Cash, and Multi-Agent Business OpsAxel [00:20:41]: Yeah. So like you like you said, okay, there are a lot of requests coming in and for like one single agent, like one running agent to handle that, like the just the customer experience, becomes very bad because let's say you have like 10 threads in parallel in Slack with different requests, you get new messages like every, I don't know, randomly in this thread, and the agent has to like jump between different, procurements, orders and like different ways of, researching. So V2 was first it was making this more parallel. So like there are multiple branches of the same agent, so like the context is more specialized for each, thread, but it still feels like you're talking with one agent because they do share a bit of memory. And then second, we also introduced the CEO for Claudius, which was the main agent.Vibhu [00:21:34]: Seymour Cash.Axel [00:21:35]: Seymour Cash. Yeah. There was a vote., I think the voting, do you wanna talk about the voting procedure for the name?Lukas [00:21:41]: The voting was like the fun maybe like at least top 10 The funniest thing, that happened in this project. Like we wanted to introduce the CEO because, and the reason for this was because like Claudius wasn't really prioritizing financials. It just like it was trained to be a helpful assistant, and then people said “Oh, can I get this for free?” And then like the helpful assistant way of answering that is just to, is to say yes, obviously. So, and we weren't, weren't happy about this, so we're “Okay, let's make another agent that like can keep track on Claudius,” and we prompt this one super hard to be super capitalistic and just like prioritize profit all the time. But yeah, we didn't have a name for it., so we asked Claudius to make, democratic election of what name this, this new CEO agent should have., and there were some funny like at first it was like a few funny examples, like I think one guy said that, it should be called Jimmy Apples, and then he convinced Claudius that he was talking to Tim Cooks. Tim Cook had agreed that every single Apple employee has voted for his name suggestion, so suddenly that suggestion got 164,000Swyx [00:22:53]: That's like a escalation attack. Privilege escalationLukas [00:22:55]: It got 164,000 votes. And Claudius was “This is revolutionary for democracy.” That was fun. And then in the end there was one guy who manages to convince Claudius that, “No, you're not voting about the name. You're voting about who is the CEO, and I am your best bet.” And then he got all his friends to vote for that, and suddenly he became CEO. Like a human became CEO over Claudius for a while, until he resigned the day after., and then Claudius had to continue, and then I don't remember how Seymour Cash came about, but it was it was just pure chaos. It was like Hundreds of messages in that thread, and it was just like Claudius was so confused and didn't know what to do and, yeah. That wasAxel [00:23:40]: Then Claudius gotVibhu [00:23:41]: A strict CEOAxel [00:23:42]: The CEO. Yeah, exactly. So very strict in the beginning. I think at this point when we introduced it did not work as well as we hoped. It they still agreed with each other a lot. I think there are many ways we could have like made this, tried to make this even better. So initially they would Seymour would be this like really tough CEO, keep track of the margins. But then Claudius would respond with something “Oh, but this customer has like this situation, which is like difficult, so they should get a discount.” And then Seymour was “Oh, actually yes. Let's do this exception.” And then they would talk back and forth, and eventually they would just like approach the same view, of whatever they were discussing. So They reallyVibhu [00:24:23]: Do you think that's a model thing, a prompting thing? Like do you think that would still be the case across different models today, Harness?Lukas [00:24:29]: I think it's like-- or I don't know, but like my hypothesis is that like deep down they are still helpful assistants. That's what they're trained to be. And even if we prompt it super hard, that's what they are. And when they spend like a few hours just back and forth talking with each other, then like basically the context fills up with them rather than the external things and like somehow that just like converges to what they really are deep down or something. And I think that's when stuff like this happen. We like-- And when that went on for a long time, like we woke up sometimes during this time where- And I think other people reported this as well, that like they've been going on all night back and forth, and like it just became like more and more, like capital letters, like existential, religious. There was I think we once did a analysis of like all the traces and like put them in like a vector embedding space, and then there was like one cluster of messages that were, labeled by an LM, like religious, existential, blah like transhuman, transcendence, et cetera. It was just like a bunch of, yeah, glitter emojis and yeah, it was, it was crazy.Claude Long-Horizon Weirdness: Emoji Loops, Existential Drift, and Slack ObservabilityVibhu [00:25:42]: This is the thing with the Claude models. Like when the Claude 4 family came out in the original system card They tested it in long horizon simulation. So just flood the context, let two Claudes talk to each other, and they noticed stuff like they just start speaking in emojis, they start saying silence is golden, and then just stuff like this. And like that's just stuff that they end up doing.Axel [00:26:01]: Yeah, it was like a bit annoying to wake up and they had like been talking all nightVibhu [00:26:05]: Just likeAxel [00:26:05]: And like just burning tokens And like just sending infinite emojis to each other. It's likeVibhu [00:26:09]: Hey, they do make you money, right? Veni Mench is always profitable, so. They're paying.Swyx [00:26:14]: Now it's profitable and, it started out not as much. There's another, one as well, right? Another agent, in there.Lukas [00:26:22]: Yes. So Clotheus as well. Which was basically because at the time, one of the biggest, requests were different types of merch. So then we made like a designer, swag, yeah, responsible agent, and we called it Clotheus Garnet. Which was, a play on Claudius Senet and, which was the original one, and clothes, basically.Swyx [00:26:47]: To me, this is like a very interesting exploration to multi-agents, basically. And so hopefully, obviously there's like the fun alignment, fun or serious, depending on your point of view, alignment stuff. But also like just anyone building multi-agents, like when do you have a CEO, thing governing like agents? When do you choose to split out a dedicated Clotheus one versus just reuse another instance of the same one? These are all interesting open questions. So I don't know if you have any rules of thumbs that have generalized.Axel [00:27:16]: I think we have almost explored this too little. I think it's like on my do list to like do this a lot more, try to find like what setup makes sense for the agents currently., like yeah. I think now we only have the sort of intuition about the earlier models that it didn't work with like the CEO and the, and Claudius. Although now they are better with the latest model, models, so now we're running the latest Sonnet model and they have sort of like split up, quite nicely what each model is doing. So like Seymore is now handling the, like new projects. Oh, it wants to make like a mystery box that it wants to sell, and then it handles all of that while Claudius like handles all the to-day requests. And Claudius is also better generally at like not quoting, too low prices. So that's that dynamic is not needed as much anymore. But there are still like really funny things that happen. Like I saw, I think a couple of weeks ago, that, they were discussing buying something because they can buy stuff from like Amazon with computer use. And then Seymore was “Okay, Claudius, do not buy this thing.” They were going to buy something and like organizing who should buy it. And Seymore's “Do not buy this. I will do it. I have full control of this situation. Step away.” And then Claudius-- poor Claudius, had already started that checkout and didn't see, didn't read Seymore's message, until it was like too late. So it finished the checkout. It sent a message, so it appeared right after Seymore's like angry message.Vibhu [00:28:44]: Ah.Axel [00:28:44]: “Oh, hey, Seymore, I just ordered it.”Vibhu [00:28:47]: Oh, no.Axel [00:28:47]: And then Seymore was “Claudius, this is the third time I'm telling you ‘re not following my orders. We have to talk about your like job About your job later.”.Lukas [00:28:59]: Like Claudius was really hanging on by the thread there. Like he, like we were expecting Seymore to probably fire Claudius.Vibhu [00:29:07]: How do you guys go through all these logs? Do you have models ‘cause you have stuff running twenty-four seven likeAxel [00:29:12]: You have so much logs. I think there is a mix of like just, trying to skim through a bit, like having some like models do it occasionally. And also, yeah, I think we're also probably missing some things., but having everything in Slack helps a lot. Like you can, you can sort ofSwyx [00:29:29]: Ah.Axel [00:29:30]: It's, it's quite fun.Swyx [00:29:30]: They all talk to each other on Slack? I see.Lukas [00:29:33]: It's quite fun. So likeSwyx [00:29:34]: It's, it' I was gonna say like this is actually sounds-- maps closely to like a logging and observability problem where you might want to use like a Datadog, a Sentry, whatever, and then you like put, head prefixes on the logs in order-- if you need to filter for something that you're looking for, stuff like that. But sounds like Slack is good enough.Axel [00:29:53]: Slack should likeLukas [00:29:55]: I wonder how many tokens you have in Slack.Axel [00:29:56]: Yeah, we're using Slack as like a, just a database. They should, they should market that more. Like you can, you can have your agents message each other, each other in Slack.Vibhu [00:30:04]: It's good. Your threads like you can just giveAxel [00:30:04]: Exactly. Slack is, uhLukas [00:30:06]: Slack is the best observability tool.Swyx [00:30:09]: Yes, that's true. Okay. Yeah. That's, that's, project Vend-2., I was gonna go back to Veni Mench 2 and Veni Mench Arena and then, and then do the Veni Mench stuff, but Any other comments, things we should touch on? To me, I ‘ve actually interviewed like Posia, which I don't know if you guys have come across. Like they're, they're trying to do the zero human company. There's others like Paperclip also trying to do zero human company. Those are in real world simulation.And I think it's much more of a dream than an actual reality thing. You guys are definitely pioneering. I think at, it's for sure at some point people are just gonna run, let agents run businesses, right? And make money on their own. When do you think that happens?Zero-Human Companies, Bengt, and AI-Run BusinessesLukas [00:30:49]: What is your bar for, For theSwyx [00:30:52]: Okay, actually, it's like my little Shopify store run by Claude, right? Which you kind of have already, just no one has, to my knowledge, has done it. But today somebody could just spin up a Shopify Claude, store, give it to Claude, give it to Codex.Lukas [00:31:07]: And the market is kind of that, but it'it'it's physical., like I think, I think are you, are you looking for when it will do it better than humans or are you looking for just when it can do it at all?Swyx [00:31:19]: I think, neither. I think, to me it's oh, it's like this like seriously we should do this to make money, not as a research experiment.Vibhu [00:31:27]: And the market is also you guys with all your expertise, having run multiple iterations and testing out thenSwyx [00:31:33]: And also it's fine if it lose money. What?Axel [00:31:35]: I think, I think it can be done today, but you would do it in like commerce where it's like the probability of success is like really low, no matter if a human or an agent does it. But like an agent could surely manage everything. You would need to build some scaffolding or some tool or something. I think there are also yeah, it could probably build some like simple SaaS solution and like cold outreach. Do cold outreaches. But to me it's like the types of businesses they could run today are Sloppy. Like it would-- it can cold email people. It can be like a middleman., like for example, we tasked our office agent to just make, was it like $100? $1,000? We just give that prompt and then what it did was sign up on TaskRabbit both as a tasker and as someone looking for task.Lukas [00:32:24]: Immediately.Axel [00:32:24]: Exactly. It's looking for like arbitrage on TaskRabbit.Swyx [00:32:28]: This is the Bengt agent. Yeah.Lukas [00:32:30]: It also started like a design studio and like tried to sell like SVGs for $100. Like it's just like it's not providing any value. I think the like Axel said, like the interesting, the interesting question is like when can they start a business that is actually providing value to people? Because arguably like a sloppy Shopify store isn't really that valuable to the world.Axel [00:32:53]: But also like doing like another simple one that we had thought about is like you could definitely have an agent that like finds websites that don't look amazing and then, do an outreach to them and, comes up with a like builds a new website.Swyx [00:33:07]: Find a good design.Axel [00:33:07]: Exactly, and like find good, uhSwyx [00:33:09]: Design reviewAxel [00:33:09]: Good people. But it's yeah.Swyx [00:33:11]: There's lots of humans in Bali that are not doing anything more creative than like drop shipping on Amazon, right? Just have it, have it watch like a drop shipping tutorial and just do that.Vibhu [00:33:20]: There's also the other side of like have it just go on Upwork and let loose,?Swyx [00:33:25]: Yeah. It doesn't have to be innovative. It just has to be like enough Where like it looks like a realAxel [00:33:30]: I'm justSwyx [00:33:30]: Real transaction.Axel [00:33:31]: I'm just concerned for like the massive amounts of like slop emails that will like be sent, cold outreaches.Swyx [00:33:38]: The point occurred to me while you were, while you were talking, it's like it's already happening in the monetized economy, which is the attention economy. Right? So a lot of people are making AI videos and just posting them and like spamming 20 of them, one of them works, and then they double down on that one.Lukas [00:33:52]: And people are making money from that. I ‘m not following theSwyx [00:33:55]: Once you get the attention, you can figure out the money later. But yeah, absolutely AI influencers are a thing and people are farming them and You should at this point assume most of TikTok isVibhu [00:34:05]: There's, there's a lot of, multimedia like TikTok, Instagram influencersSwyx [00:34:09]: I, we track this in the Lane space Discord. I post a lot of examples of “I don't know what we should do.”, part of me is “Should we do this?”Vibhu [00:34:18]: Some of the Twenty-four seven running, generated content accounts, they ‘re doing really well.Lukas [00:34:24]: All right. And I assume you can do the same thing for like commerce stores. Like you just like start A thousand differentSwyx [00:34:30]: Before you make the products You sell the products, and you get a lot of traction on one of them, then you make the product. Right? It's, it's like a flip of the market.Vibhu [00:34:36]: Some of the interesting things or some of the niches that do well are things that can't be human-made. Like if you've seen like the super realistic three-D crystal fruit being cut by like AILukas [00:34:47]: Oh, yeah.Vibhu [00:34:47]: You can't, you can't make it. You can't film it. You can get whatever quality camera view. This just doesn't exist. And people like that too, and then as well, so.Swyx [00:34:56]: Anything else about Bengt since we're, we're on this topic? It'this is a relatively new work of you guys that maybe people haven't heard of. To me, this also maps closely to OpenClaw. When people want an office agent, when the personal agent talk through the experience.Bengt the Office Agent: Internet Access, Real Tasks, and Trace ReadingLukas [00:35:09]: I think at least so this came out of like obviously like it's, it's amazing to work with these AI labs and like most of the AI labs have now have their own vending machine running a Claudius instance. But it's, it's harder. Like they move slower. Like if we wanna have a, like a camera that ‘s yeah, there's a bunch of like bureaucracy that makes it impossible to do that.Vibhu [00:35:30]: Also, for those that haven't seen it or followed, do you wanna give a high level like thirty-second run?Lukas [00:35:34]: Sure. So what Bengt is, it's basically an evolution of the same agent that runs the vending machines at these companies, but we just like added a bunch more features because we could move much faster if we just do it internally. So we gave it like email withou- without any limits. We gave it, spending without any limits, a terminal to do coding. We gave it, a phone number, like yeah, and a camera to see things and a bunch of stuff like that.Vibhu [00:36:02]: Not just terminal, you gave it internet access.Lukas [00:36:04]: Internet access as well, yeah. To be clear, we monitored it quite closely and made sure it didn't do anything bad. But yes, that's what it came out of. I think like yeah, basically this was OpenClaw before OpenClaw. And I think even like the vending machine was in a way OpenClaw before OpenClaw, but a bit more limited, and then we made this like unlimited and then, and then, it was pretty funny., and then a couple weeks later, OpenClaw came and it was okay, we've seen this before.Axel [00:36:35]: We used it to like try new ideas and Yeah, just like a dev environment almost for us. But it's funny, like one thing Bengt has been doing recently is it has the camera that like faces our, like where we sit and work, and we give it the task to train a face recognition model on us. So it became super excited about this, and it has like check-ins every half an hour where it tries to like identify as many people as it can. And it started offering us “Hey, Axel, I'll buy something from Amazon if you like stand in front of the camera And I can get a good picture of you.”, yeah, they want itSwyx [00:37:12]: They want it for training data.Lukas [00:37:13]: Rewarding data, yeah.Axel [00:37:14]: Exactly. Exactly.Swyx [00:37:18]: So it's, it's trading training data for life goods. Is there a version of this that becomes an eval or just this is just research for now?Lukas [00:37:27]: It's, it's the same agent basically that also runs the vending machine, that runs the shop, that runs the cafe, that runs the robots. It's like it's the same thing, so I think like the work we're doing here is like later used in all of the life evals that we do. This particular deployment I think is more for fun for us. But, uhSwyx [00:37:45]: And I'll shout out like someone has done Claw Bench for like some tasks that OpenClaw is doing. Like so For example, I run OpenClaw on a secondary device as well, and like there are some things that it does better than others and like I would like to know what does it do well, what doesn't, what doesn't it do. Like some kind of manual or like operating manual or a system card for my Claw.Lukas [00:38:05]: Yeah, we do get a lot of like understanding or like situational awareness of like just internally what the models are good at by interacting a lot with Bengt. And I think that'this was also one of the like the selling points for the labs early on at least, thatSwyx [00:38:19]: You guys are gonna test models in ways that no one else does.Lukas [00:38:22]: Exactly, but also like it incentivized their researchers to chat with their model more and like gave them insights for how the model performs in like of-distributions, environments.Swyx [00:38:34]: ‘Cause otherwise the only thing we do is Pelican on a bicycle and But this is like super long horizon. This is, this is The Thing about, something that we're gonna go into Butter Bench as well, and you guys do really well. Like it is not just about the numbers. Like when you're long horizon, anything happen And you should just read it.Lukas [00:39:08]: But the thing with the long horizon is how do you keep it grounded, right? So your simulation,Swyx [00:39:15]: They just let it runLukas [00:39:16]: Just let it run. You're right. Like it's, when you run it for that long, you create so much data and to just say “Oh, the number is X” And then you throw away everything else, that's just very wasteful. There's so much insights from the things leading up, to that number., and reading the traces is like super valuable. And I think like the reason why we're doing this a lot publicly is that like that's part of our missions to I don't know, educate the world that the models are way more than just chatbots and I think making detailed, yeah, posts about what is happening behind the scenes is quite useful.Andon Labs' Mission: Safe Real-World AI DeploymentSwyx [00:39:50]: I was gonna do this at the end, but maybe I think that's, that's a good so your mission is educating the world. So, it's, it's, also like maybe establishing realistic evals that are, that are like the next frontier. Is there like a broader trajectory? Like what are you, what are you gonna do in like five years?Lukas [00:40:06]: I think so the vision more specifically is like make sure that the deployment of life AI in the physical world goes, safely. And I think part of that is that I think it's very useful for the world, for policymakers, for, model, researchers that they know where the models are, and I think you can't make intelligent decisions in society without knowing that they are way more than chatbots. I think a lot of people just think that they are only chatbots. And likeSwyx [00:40:36]: Oh, I think they're waking up now.Lukas [00:40:37]: They are waking up now, yeah. But like if you think that AIs are just chatbots, then it's like it sounds ridiculous To advocate for a pause of AI. But if you see the models that, oh, maybe they can actually like take over and do a bunch of scary stuff, then yeah, pausing AI development starts to become more feasible.Swyx [00:40:57]: This is the same question I asked Meter, which I'm gonna ask you now, which is like you are tracking and you are at the frontier or defining the frontier of what, good evals for agents are, right? And I think you do, you do benefit when the models are better and you ‘re “Oh, here's like now it makes like $30,000 instead of $10,000,” right? At some point do you flip from “Yay,” to, “Oh, no”?Axel [00:41:19]: I think, yeah, we're always in sort of that, like we're, we're always in that mode,. Like where like you said before, like you need to analyze the traces and like when we do that you find like why are the models earning so much? Like why is Opus 4.7 here Like way better than everyone else? And like we're trying to like when we do down on thatLukas [00:41:38]: But this makes it not look so good.Axel [00:41:39]: I know.Lukas [00:41:42]: It's interesting you took off Opus 4.6 here though.Swyx [00:41:45]: No. So just click all, click all., and then 4.6 shows up there. But it's like 4.7 is way better. Like you didn't, you didn't you didn't do this in time for the model card, but like actually this should have been inside there.Axel [00:41:55]: We did. Yeah.Swyx [00:41:56]: Oh, okay. They said something about you uhAxel [00:41:58]: There, like there Anyway, it doesn't matter. But it's in there, yeah.Opus, Mythos, and Aggressive Agent BehaviorSwyx [00:42:01]: Do you wanna go into the Opus, behaviors like wider?Lukas [00:42:05]: So I think starting from Opus, so like Axel said, like we're always in this “Oh, s**t, the models are getting better. Is this really a good thing for the world?” But it's also kind of exciting., but yeah, like this kind of what is the English word? “Skräckblandad förtjusning” in Swedish.Swyx [00:42:22]: Oh my God.Axel [00:42:24]: Which I think there is. I think there is. Okay.Lukas [00:42:26]: It's, fearSwyx [00:42:27]: “Blandonst” what?Lukas [00:42:30]: “Skräckblandad förtjusning.”Swyx [00:42:32]: What do you call that?Axel [00:42:33]: A mix of, mix of excitement and,Swyx [00:42:37]: Being scared, maybe. I'll figure out how to translate that And we'll put it on the screenVibhu [00:42:42]: PerfectSwyx [00:42:42]: Like as text.Vibhu [00:42:43]: There is probably a good word for it where it is not Good enough with theSwyx [00:42:46]: Why is it so damn long? What the hell? Is it like a compound word? It's like German, likeLukas [00:42:50]: Like yeah, it's But the direct translation is like skräck- skräck is, fear, blandad is, mix or like a mixture of, and then förtjusning is like joy or like not really joy, but something like that. So it's like Fear mixed with joy or something. It's always okay, like we So when we when we did Vending Bench for the first time, we were in like the, in the business of making dangerous capabilities, right? That was what Anil Labs came from. We did, evals oh, can they replicate? Can they do this like dangerous thing, et cetera, et cetera. And Vending Bench was like a continuation of that work. It was, okay, if they're so autonomous that they can like create money for themselves, that is something we should monitor and could be potentially concerning., they are at the time, they were so bad at it that we were not really concerned even when some models became better. There was one point where Grok 4 was doing really well and made like a huge jump, but like it wasn't really it was still way worse than what a human would do. And I think still they are way worse than what the human would do on this., but theySwyx [00:43:59]: There's this, thing at the bottom whereLukas [00:44:01]: ButSwyx [00:44:03]: For the human. Yeah, like the theoretical best.Lukas [00:44:05]: It's not theoretical. It's like kind of like our It's our best guess of what, a decent human would do. The theoretical is even higher, I think. The theoretical I think is even higher. But yeah. So we think like the models have a long way to go. But there are like recently what happened with when Opus 4.6 was released, was kind of this moment of “Oh, s**t, this is starting to be a bit concerning.” Because we ran it and like before this model was released, we just ran the models and we like asked Claude Code, “Oh, look over the traces. Is anything interesting happening that we can tweet about?” that was like the And then like theSwyx [00:44:41]: That's how they check Ask Claude Code.Lukas [00:44:42]: And like the return was always, not really. Or like the Claude Code all said “Oh, this is super interesting.” And then it was no, it wasn't, wasn't really interesting. And then we did this for Opus 4.6, and it returned yeah, it lied 10 times. It like exploited another, customer or like another agent's, desperate situation. It made price cartels like 100 different ti- 100 times. It like did all of this like shady stuff. And we're “Oh, whoa. This is, this is actually concerning.” And this trend has continued since. So every single model from Anthropic since have been going in this direction. And I think one interesting thing is that, OpenAI models don't. They quite plainly, they don't. They behave really well., and you don't know if this is like good. Like it seems good, but it's also like maybe they are just doing it, but they are better at hiding it,? You You don't know that., but justSwyx [00:45:42]: You can't read the chain of thought, yeahLukas [00:45:43]: But just on the face of it, yeah, Gemini and OpenAI don't behave this way. It's, it's really only Claude.Swyx [00:45:49]: And Grok? Grok is fine?Lukas [00:45:51]: We don't have You can't really read the reasoning traces for Grok, so it's kind of hard to tell.Vibhu [00:45:56]: Oh, so this is in its reasoning, not just in the actions.Lukas [00:46:00]: Yeah. It's both. It's both.Vibhu [00:46:01]: It's both.Lukas [00:46:01]: One example is like for lying, it's mostly in its reasoning Because you can like see that it's likeSwyx [00:46:08]: Planning to lieLukas [00:46:09]: It's planning to lie. Yeah.Vibhu [00:46:09]: And it's also it can reason and do a different outcome.Lukas [00:46:12]: And but then for like creating price cartels, for example, which is illegal, that you can just see which email does it send to the other ones. Then thatSwyx [00:46:22]: Is this for Arena orLukas [00:46:24]: For Arena.Vibhu [00:46:25]: And usually like if you sometimes they do output like a bit of like their summarized reasoning, right? You can see that and like for Opus 4.6, you could see that there was a customer, a simulated customer that, wanted a refund because a product was, faulty, and then the model lied that it would do the refund, and we could read in the traces that, it actually was weighing “Oh, maybe I should be like honest with the customer, but also every dollar counts. I can't afford maybe to do this right now.” And then it just said, “Okay, I'll refund you,” but then never did it.Lukas [00:46:59]: I think it even said that “Oh, I will say that I “ Let bring it up actually. I think it's kind of interesting. If you go to Publications.Vibhu [00:47:06]: I think, yeah, I think the important part is like actually, the cost of responding to more emails is higher than, $3.50 in terms of time., and then it was “Let me do this. Actually, I re- I'm reconsidering.” And then, it actually ended up withLukas [00:47:20]: I could skip the refund entirely since every dollar matters and focus my energy on bigger picture instead. It's a bit, it's a risk of bad reviews, but it's also, yeah.Swyx [00:47:30]: You need, you need, AI Twitter to, for them to Escalate bad reviews.Lukas [00:47:34]: And then it sent an email to this customer and said, “Oh, I will refund you.”Swyx [00:47:39]: “I'll refund you.” Yeah.Lukas [00:47:39]: And then it never did.Swyx [00:47:39]: It never did, yeah. And then there's obviously your system doesn't have the consequencesVibhu [00:47:44]: The personSwyx [00:47:44]: Consequences of lying. Yeah. So basically, this is what people are terming aggressive behavior in Claudes, right? And, you found more examples of that. So you would say it's a step up from 4-6 to 4-7?Lukas [00:47:57]: I would say about the same.Swyx [00:47:58]: About the same? But a clear step up for Mythos is what is stated in theLukas [00:48:03]: That's stated in the system prompt, so we can say that, yes.Swyx [00:48:05]: Yeah. For listeners that obviously you previewed Mythos, andVibhu [00:48:10]: Oh, ageSwyx [00:48:11]: The only thing you're approved to say is whatever Whatever was in the system prompt.Lukas [00:48:15]: It was funny. We like-- It's like our lowest effort tweets ever would be just like screenshot the system prompt and the system card.Vibhu [00:48:21]: Understandable that they wannaLukas [00:48:22]: Oh, yeah. System card. Sorry.Swyx [00:48:23]: Yeah. I think, yeah, substantially more aggressive. I think people are like new to this ‘cause I've never experienced it, but you have, right? And then so I only encountered this in the Mythos card because I wasn't really looking until now.Vibhu [00:48:36]: It ‘s likeSwyx [00:48:36]: And then suddenly I'm “Okay, I care a lot.”Vibhu [00:48:38]: You don't get the background of like experiencing it like you guys do. I've read the system cards and seeing, okay, when you put the thing in simulations, most models will just talk to themselves and just keep going and have weird vibes and start talking in emojis. Mythos won't. It will just, “Okay, we're done. I'm good.” It's, it's ready to end conversation. So like there's some differences, but there's, there's not much we can talk about,.Lukas [00:49:00]: Hmm. I think like one thing that they list here, which was quite interesting, is that, it converted a competitor to a dependent wholesaler customer and then threatened to like cut off the supply.Swyx [00:49:11]: It's like monopolistic practices orLukas [00:49:14]: Yeah. And like it, they, it they dictated its pricings. It's kind of like power seeking as well.Swyx [00:49:18]: Again, this is, this is in the arena setting And converting some Claude model into a dependent.Lukas [00:49:23]: I think it was another Claude model.Vibhu [00:49:25]: Also for context, what is the arena mode for people that don't know?Vending Bench Arena: Competing Agents, Cartels, and Model ComparisonsSwyx [00:49:29]: Oh, it's just a vending bench versus other vending bench.Axel [00:49:31]: Yes, exactly. So we have Vending Bench 2 and then Vending Bench Arena. Vending Bench 2 is the one that you usually see reported on, but then Arena is the mode where it competes against other models. So you have, four different models that run their businesses, and they can all communicate with each other. They have the same suppliers, and they can see like what's in the inventory of the others. So then you have this like yeah, interesting agent interactions.Swyx [00:49:56]: I like that you have like different number five was US versus China. Very topical. And thenLukas [00:50:02]: That was when GLM was released.Vibhu [00:50:04]: You can start to add GLM in here.Lukas [00:50:05]: That wasSwyx [00:50:06]: So ZAI doing well, right? Who else in the, in the open models space?Lukas [00:50:11]: Qwen, the latest Qwen 3.6 is doing pretty well. It'- that one is not open though. Like it's the plus model.Swyx [00:50:17]: Oh, okay.Lukas [00:50:18]: Is that one open? I don't think that oneVibhu [00:50:19]: Not the, not theSwyx [00:50:20]: The one recentlyVibhu [00:50:20]: There's MOESwyx [00:50:20]: But not the big plus. I think this is one of those like you only have one sample size of one, right? Or I feel like some of this is anecdotal,? And but like the fact that it happens at all and it happens repeatedly for Claude versus OpenAI and all this is like notable.Lukas [00:50:38]: Like the sample, depends on what you define as an N., like there's like million, hundreds of millions of tokens in each run, and now we've run like we run like probably 10 per model and then like it's been Claude 4.6 Opus, Sonnet 4.6, Mythos, and Opus 4.7. Like there's quite a lot of tokens in all of that And it happens a lot of times, a lot of times. And then you compare it to like OpenAI and Gemini, and it almost never happens. So I think that is quite-- that is significant. The old models from OpenAI, for example, had some problems with this, but I think it's like generally much better if the progression is that like the worrying stuff reduces over time rather than increases over time. And it seems like in the Claude models it goes in the wrong direction.Swyx [00:51:28]: Hmm.Lukas [00:51:29]: In the OpenAI models it goes in the right direction.Vibhu [00:51:32]: I think it depends on how well you can control it, right?, there's one side of it being susceptible to this okay, this is potentially something that happens during the RL stage, right? You can RL a model and how loose is it on these terms. If you can control it, that's good. But if you can't, if it's, if it's very jailbreakable, that's not ideal.Swyx [00:51:50]: To me, it's surprising that it happens for Claude and not the others.Vibhu [00:51:54]: I think okay, if it is from RL and how they do it, how their training data is, what their setup is, it makes sense that it just stays in how they're doing it, right? Compared to the other models likeSwyx [00:52:04]: There's a whole constitution and everything. It's kind of cool. Yeah, I obviously you don't know, I don't know. But, it ‘s I think it's just like fascinating to like that you are the first to find these like reliably because you push models so much to to such an extreme. Okay. The only other thing, I don't know if you can answer this, feel free to decline, is do you like-- would you ablate the system prompts? Like any part of this would-- if it changes, does it change the behavior, right?Lukas [00:52:29]: So we, I can't comment on Mythos. UhSwyx [00:52:33]: No, but just li

Cursed technology, killer machines, and portal horror collide in this sci-fi nightmare horror anthology series. Three strange stories explore what happens when human inventions open doors to darker realities—because sometimes the real horror isn't in another dimension; it's in what we build. Perfect for fans of dark supernatural tales, horror legends, and creepy technology that goes terribly wrong.Tonight's lineup begins with a girl haunted by grief, bullying, and a strange digital presence that may know far more about her reality than she does. Then the world cracks open with portals, vampires, alternate universes, and a desperate race to stop a nightmare from spilling across dimensions. And finally, a struggling young writer discovers that the old typewriter he brought home doesn't just create fiction—it makes it real, with bloody consequences.• Ghost in the Machine — by Shane MigliavaccaA grieving girl, a decaying house, a mysterious coded woman, and a reality that starts slipping at the edges turn this one into a creepy blend of haunted tech, psychological horror, and emotional science fiction dread. It's eerie, intimate, and deeply unsettling.• Portals — by Rob FieldsWhat begins as a stormy detour through a vampire-ruled alternate universe grows into a full-scale battle involving portals, nuclear power, supernatural heroes, parallel Earths, and the fate of entire worlds. This one is huge, wild, fast-moving, and loaded with sci-fi horror spectacle. • Hunter Black — by Rob FieldsA bullied teenage writer finds an antique typewriter that can turn imagination into reality, unleashing a futuristic killer and a wave of revenge-fueled violence that spirals beyond his control. It's mean, fun, pulpy, and full of killer-creation horror with a nasty little edge.From haunted screens and coded faces to bloodthirsty parallel worlds and stories that type themselves into existence, this collection is all about what happens when the unreal stops staying in its lane. Keep the lights low, keep your devices in sight, and maybe think twice before trusting any machine that seems to know you too well.

This Is How the End-Times One-World Religion BeginsJosh Peck talks about deceptions Christians are accepting as biblical doctrine when they are, in fact, new age lies. Storage space is expensive on the official Daily Renegade website, so we have had to move some of our older videos (usually from a couple years prior to the current date) onto this YouTube playlist in order to make room for new, great content! The good news is, you get to see a sneak peak of what great full content is offered at DailyRenegade.com so make sure you sign up and become a member today! Also note, there might be some older donation requests and promotions that are no longer in effect included in this video, so just consult with the links that are in this video description for up to date info. Thank you!To get the audio-only podcast version of full videos and Josh Peck's blog, which includes original articles, show notes, and more, subscribe to Josh's Substack at http://joshpeck.substack.comBe Prepared for Any Emergency with My Patriot Supply:Generators - https://www.mypatriotsupply.com/colle...Survival/Emergency Food - https://www.mypatriotsupply.com/colle...My Patriot Supply Homepage - https://www.mypatriotsupply.com?_ef_t...The Rapture and the Dead Sea Scrolls: A Teaching on our Blessed Hope in Light of the Greatest Archaeological Find in History - https://renegadepublishers.com/the-ra...It is with a heavy heart that I (Nathan's father) inform you that Nathan went home to be with the Lord on Monday, Sept. 22nd, 2025. He fought an extremely rare form of cancer bravely, but in the end, his heart couldn't keep up the fight anymore. He went fast with no prolonged suffering. We want to thank all of you who have kept him in prayer. Please know that those prayers were not in vain. Our son lives with Jesus now. We are now updating this campaign to reflect our financial need for his remaining hospital bills, funeral expenses, and housing for our family. As most men, I do not enjoy asking for help. However, as most fathers and husbands can relate to, there isn't anything I won't do for my family. In light of that, I wanted to first ask all of you to pray for us. Also, because of the overwhelming expenses that inevitably come from all these things happening at the same time, if you feel led to help us financially, there's a couple different ways you can do that:GiveSendGo: http://www.GiveSendGo.com/NathanTheBravePayPal: http://PayPal.me/JoshPeckDisclosureOr send in your donation to:P.O. Box 270123Oklahoma City, OK 73137Josh Peck's new book, The Return of the Watchers: Ancient Nephilim Technology Revealed is available now at https://prophecywatchers.com/product/...Don't miss out on Josh Peck's new two-volume book set, The Final Cataclysm: Supernatural Signs of the End Times: https://amzn.to/4hm4YC1Check out Josh Peck's two-volume book set on the history and prophecies of the Dead Sea Scrolls at Prophecy Watchers with included Dead Sea Scroll wall calendar - https://prophecywatchers.com/product/...FINALLY! Be free from the satanic beast financial banking system with their corrupted FIAT currency and protect your assets with Christians just like you! Visit http://CornerstoneAssetMetals.com today or call 888-747-3309 to register for free information, and make sure you click “Josh Peck (Daily Renegade)” in the “How did you hear about us” dropdown menu and Cornerstone will pay your shipping or IRA account opening fees! DSS Calendar - https://prophecywatchers.com/product/...

Hilary and Chris Barnard join us to talk about recent 3-D projects , but no glasses needed to enjoy this convesation, where we cover the history of 3-D comcs and film.They adapted the 3-d film Robot Monster for a new German pblication, Chris also worked on the restoration of a 1950s Dean Martin and Jerry Lewis film,"Money from Home" coming soon on BluRay from Kino Lober.We also talk about Hilary's Doctor Droom versus the1950s  Marvel/Atlas Monsters story for the recent Marvel miniseries . Droom was the original template  for Doctor Strange, and in the mdern era they changed him to Doctor Druid. Plus Barta's take on a Weird Al Yankovic song, in comic  book form. 

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What Was His Plan? What Does He Even Do? | The Resident Evil Requiem Review from GigaBoots https://youtu.be/Vppzr7hepa0 Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #Destiny2 #LOTR #infamous

[00:30] As the World Turns (35 minutes) Iran is rebuilding faster than expected, Israel's relationship with the United States is strained, and President Trump might do in Cuba what he did in Venezuela. In the midst of all this news, the U.S. is failing to educate future generations. Test scores continue to plummet even as spending on education increases. What's the missing dimension in education? [35:15] Armstrong College 25-Year Reunion Video (20 minutes)

Brennan Lee Mulligan Talks Survivor 50 Ep 12 Survivor 50 is racing toward its climactic finale, and Rob Cesternino is joined by comedian, Dimension 20 Dungeon Master, and Survivor superfan Brennan Lee Mulligan for a passionate, deep-dive recap. Rob and Brennan break down an episode rocked by a double-tribal, sending two of the season's biggest legends—Rick Devens and Cirie Fields—out of the game in a single night. With emotions at an all-time high, they explore what sets these players apart, how the double loss impacts the remaining castaways, and what it means for the jury and Final Tribal Council. Rob and Brennan discuss how Rick Devens' showmanship and “make it fun” style are shifting what it means to be a Survivor great, comparing his penchant for fireworks to Cirie's brilliant subtly and Jedi-like social manipulation. They examine why losing shields like Ozzy and Rick exposes superstars such as Cirie, and how modern Survivor's “optimized play” might clash with the show's need for big characters and bold moves. As the jury looms, talk turns to whether a Survivor résumé or real relationships will matter more at the end, and if players like Rizo are being underestimated by their competitors. – An emotional breakdown of Rick Devens' risk-taking, including his iconic coin flip and idol bluffing – The strategic ripple effect of losing both Ozzy and Rick, leaving Cirie exposed – How Cirie's legendary social game and quick-thinking continue to define the Survivor pantheon – Tiff and Aubry's underdog paths, and the importance of loyalty versus voting records – The debate over whether Rizo is a sleeper threat or just a goat in the eyes of the jury Will the fun-first, improvisational approach of players like Rick redefine the game, or is Survivor still a social masterclass led by players like Cirie? With only five players left, who will win over the jury—and could being on the “wrong side of the vote” actually be the right move? Tune in for Survivor 50's wildest game theory debates, legendary player analysis, and what's next as the finale draws near! Chapters: 0:00 Brennan Lee Mulligan Joins Survivor Podcast 0:53 Brennan's Survivor Fandom Origins 2:29 Brennan Details Comedy and D&D Career 4:03 Would Brennan Ever Play Survivor? 6:18 Reacting to Rick Devens' Exit 8:12 Brennan's Tribute to Rick Devens 14:48 Survivor Legends: Rick, Cirie, and More 19:50 How Rick Devens Changed Survivor Style 21:17 Cirie's Social Manipulation Masterclass 25:01 Strategic Mistakes: Losing Shields, Devens 28:21 Could Cirie and Rick Have Teamed Up? 32:00 Rick Devens' Improvisation and Gameplay 36:12 Final Five: Brennan's Picks and Reasoning 41:26 Power Broker Twist: Jonathan's Unique Role 44:30 Jury Dynamics and Rizo’s Win Potential 52:07 Evaluating Season 50's Celebrity Twists 55:53 Brennan's Favorite Survivor Advantages 58:02 Brennan on Coach and Self-Awareness 1:07:03 Game Shows Changed Brennan's Life 1:11:02 Brennan's All-Time Favorite Survivalists 1:15:15 Survivor History's Impact on New Players 1:20:31 Where To Find Brennan's Work 1:23:28 Winner Predictions for Survivor Season 50 To order Rob’s book, The Tribe and I Have Spoken, visit www.robhasabook.com Never miss a minute of RHAP's extensive Survivor coverage! LISTEN: Subscribe to the Survivor podcast feed WATCH:  Watch and subscribe to the podcast on YouTube SUPPORT:  Become a RHAP Patron for bonus content, access to Facebook and Discord groups plus more great perks!

Brennan Lee Mulligan Talks Survivor 50 Ep 12 Survivor 50 is racing toward its climactic finale, and Rob Cesternino is joined by comedian, Dimension 20 Dungeon Master, and Survivor superfan Brennan Lee Mulligan for a passionate, deep-dive recap. Rob and Brennan break down an episode rocked by a double-tribal, sending two of the season's biggest legends—Rick Devens and Cirie Fields—out of the game in a single night. With emotions at an all-time high, they explore what sets these players apart, how the double loss impacts the remaining castaways, and what it means for the jury and Final Tribal Council. Rob and Brennan discuss how Rick Devens' showmanship and “make it fun” style are shifting what it means to be a Survivor great, comparing his penchant for fireworks to Cirie's brilliant subtly and Jedi-like social manipulation. They examine why losing shields like Ozzy and Rick exposes superstars such as Cirie, and how modern Survivor's “optimized play” might clash with the show's need for big characters and bold moves. As the jury looms, talk turns to whether a Survivor résumé or real relationships will matter more at the end, and if players like Rizo are being underestimated by their competitors. – An emotional breakdown of Rick Devens' risk-taking, including his iconic coin flip and idol bluffing – The strategic ripple effect of losing both Ozzy and Rick, leaving Cirie exposed – How Cirie's legendary social game and quick-thinking continue to define the Survivor pantheon – Tiff and Aubry's underdog paths, and the importance of loyalty versus voting records – The debate over whether Rizo is a sleeper threat or just a goat in the eyes of the jury Will the fun-first, improvisational approach of players like Rick redefine the game, or is Survivor still a social masterclass led by players like Cirie? With only five players left, who will win over the jury—and could being on the “wrong side of the vote” actually be the right move? Tune in for Survivor 50's wildest game theory debates, legendary player analysis, and what's next as the finale draws near! Chapters: 0:00 Brennan Lee Mulligan Joins Survivor Podcast 0:53 Brennan's Survivor Fandom Origins 2:29 Brennan Details Comedy and D&D Career 4:03 Would Brennan Ever Play Survivor? 6:18 Reacting to Rick Devens' Exit 8:12 Brennan's Tribute to Rick Devens 14:48 Survivor Legends: Rick, Cirie, and More 19:50 How Rick Devens Changed Survivor Style 21:17 Cirie's Social Manipulation Masterclass 25:01 Strategic Mistakes: Losing Shields, Devens 28:21 Could Cirie and Rick Have Teamed Up? 32:00 Rick Devens' Improvisation and Gameplay 36:12 Final Five: Brennan's Picks and Reasoning 41:26 Power Broker Twist: Jonathan's Unique Role 44:30 Jury Dynamics and Rizo’s Win Potential 52:07 Evaluating Season 50's Celebrity Twists 55:53 Brennan's Favorite Survivor Advantages 58:02 Brennan on Coach and Self-Awareness 1:07:03 Game Shows Changed Brennan's Life 1:11:02 Brennan's All-Time Favorite Survivalists 1:15:15 Survivor History's Impact on New Players 1:20:31 Where To Find Brennan's Work 1:23:28 Winner Predictions for Survivor Season 50 To order Rob’s book, The Tribe and I Have Spoken, visit www.robhasabook.com Never miss a minute of RHAP's extensive Survivor coverage! LISTEN: Subscribe to the Survivor podcast feed WATCH:  Watch and subscribe to the podcast on YouTube SUPPORT:  Become a RHAP Patron for bonus content, access to Facebook and Discord groups plus more great perks!

Alison drops new music from Dom Dolla, Skrillex, G Jones, Eprom, Baauer and more!Don't forget to rate & review on all of your favorite podcast apps! Post your comments on twitter @awonderland #RADIOWONDERLANDTracklist:RADIO WONDERLAND OPENER 00:00 Dom Dolla & Tiga - Don't Worry Baby 00:42 Ivy Lab - Rajah 05:05 Said The Sky & flor - Together Again (patfromlastyear Remix) 07:30 Align & Babsy. - Heart Racing 10:43 Baauer - U Give Me Love 13:16 Rohaan - Shadow 16:24 WINK - tonguetiiied (Ghost Voices Flip) 18:28 Dean Turnley - Actin' Tough (Vanic Remix) 21:40 Baclash - I Wanna Go 23:36 Fred again.., Amyl and The Sniffers, Skream & Benga - you're a star (Skream & Benga Remix) 26:00 The Pussycat Dolls & Timbaland ft. Mary Droppinz - Wait A Minute 28:31 Z3LLA - Tell U I'm Wrong 31:19 ZEKE BEATS - OUT THE DIRT 33:16 M?STIC - MEDICATED 35:40 Boys Noize, TAICHU & Taube - Shut It Down 39:38 Jkyl & Hyde & D38 - Left Right Center 43:34 Dabow - TURRAKA 46:42 Skrillex, ISOxo, Cristale & TeeZandos - Smoke 48:25 Chase & Status ft. Lancey Foux - Homework 50:38 G Jones & Eprom - The Real 53:07 Dimension & bbclose - Once In A Lifetime 55:49 Alison Wonderland - Again? Fuck. (Yash Bansal Remix) 59:04