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Aujourd'hui, c'est au tour de Valentine Vendôme, magistrate en région parisienne, auteur de "Panthères", de faire face aux GG. - L'émission de libre expression sans filtre et sans masque social… Dans les Grandes Gueules, les esprits s'ouvrent et les points de vue s'élargissent. 3h de talk, de débats de fond engagés où la liberté d'expression est reine et où l'on en ressort grandi.
Aujourd'hui, Mourad Boudjellal, éditeur de BD, Joëlle Dago-Serry, coach de vie, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.
Aujourd'hui, Mourad Boudjellal, éditeur de BD, Joëlle Dago-Serry, coach de vie, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.
Aujourd'hui, Mourad Boudjellal, éditeur de BD, Joëlle Dago-Serry, coach de vie, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.
Aujourd'hui, Mourad Boudjellal, éditeur de BD, Joëlle Dago-Serry, coach de vie, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.
Aujourd'hui, Mourad Boudjellal, éditeur de BD, Joëlle Dago-Serry, coach de vie, et Charles Consigny, avocat, débattent de l'actualité autour d'Alain Marschall et Olivier Truchot.
Dans le podcast « Ça peut vous arriver » sur RTL, Julien Courbet et son équipe distribuent conseils conso et astuces juridiques pour lutter contre les arnaques dans la bonne humeur. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Ez az Umami, a 444.hu új gasztronómiai podcastja. Mostantól a 444-en kéthetente beszélgetünk gasztronómiáról, annak gazdasági, társadalmi és kulturális vetületeiről. A gasztronómiát gyakran értéksemleges területnek gondoljuk, egy társadalmon és politikán kívüli világnak, miközben fontos látni, hogy amit eszünk, és enni fogunk a jövőben, az társadalmi folyamatokba ágyazott jelenség. A podcast terveink szerint az étkezés történeti kontextusát és egy-egy téma izgalmas tudományos hátteret is végigveszi. Beszélgetünk a fine-dining világától kezdve, a mezőgazdaságon át, a bélflóránkig mindenről, aminek az étkezésünkhöz kicsit is köze van. A podcast azoknak szól, akiket érdekel a gasztronómia gazdag és izgalmas világa a tányéron lévő ételen túl is. Az első adásban két olyan fiatal, Z generációs szakáccsal beszélgettünk, akik mindketten a saját helyüket viszik és mindketten kicsit máshogy csinálják a szakmai pályafutásukat, mint elődeik. A Bocuse d'Or kétévente megrendezett szakácsversenyekről ismert Pohner Ádám feleségével ketten egy kis borsodi településen, egy eladó kocsmából varázsolták Michelin Bib Gourmand minősítésű éttermüket, az Iszkort, Hetey Márton pedig a Rákóczi csarnokban nyitotta meg csupán 6 székes levesezőjét, a Nem Rament, ahol mindennapi sorokban állnak az ebédelni vágyók kétféle ramenjéért. Beszélgettünk a saját életútjukról, az éttermeik mögötti elképzeléseikről, hogy ők maguk hol szeretnek enni és mit gondolnak mitől lettek sikeresek. 00:00 Intro 01:37 Az elmúlt 20 év, de nem mondjuk ki, hogy gasztroforradalom. 10:05 Vendéglátás a covid után. 12:43 Hogyan lettek szakácsok? 20:25 A Bocuse d'Or világából egy icipici kelet-magyarországi faluba. 23:25 Koppenhágában főzni Lionel Boyce-szal, itthon egyszemélyes levesezőt nyitni. 29:09 Mályinkai kétfős étteremből hogy lesz második étterem húsz fős csapattal? 32:51 A siker titka. 36:50 Hol szeretnek enni, ha nem a saját éttermükben? 43:10 Nemnövekedés a konyhában. Vida Kata ideje nagy részében tanácsadó szakpszichológusként és traumaterapeutakánt dolgozik, emellett a Babramegy blogot írja és a Podkoszt gasztropodcastot vezette itt a 444-nél. Leginkább a gasztronómia és annak társadalomtudományi határterületei foglalkoztatják. Utóbbi években leginkább a helyi és szezonális zöldségekből való főzés érdekli, 2020 decemberében jelent meg az első ilyen témájú szakácskönyve Idei, hazai, zöld címmel. Nemes Nóra 2011 óta foglalkozik gasztronómiával, írt blogot, szakácskönyvet, szerkesztett műsort, készített főzős videót. Korábban a Nosalty és a We Love Budapest munkatársa volt, jelenleg szabadúszó, Berlinben és Budapest között ingázik. Szakácskönyvei, a 307 Frederick street és az Elég jó konyha a recepteken túl kulturális és fenntarthatósági kérdéseket is boncolgatnak. Ha van kérdésetek, tippetek, hozzászólásotok vagy egy téma ötletetek, amiről szívesen hallgatnátok beszélgetést, küldjétek el nekünk a umami@444.hu címre! A műsorok megtalálhatók a 444 Spotify és Apple Podcast csatornáin is.See omnystudio.com/listener for privacy information.
Ce vendredi x mois année, Liste INVITES et FONCTiON, se sont penchés sur les titres (....à lister... ), dans On achète ou on vend ? dans l'émission C'est Votre Argent présentée par Marc Fiorentino. C'est Votre Argent est à voir ou écouter le vendredi sur B
« Les Iraniens sont partagés entre peur et soulagement », nous dit le New York Times. Il faut dire que les nombreuses volte-face de Donald Trump mettent leur moral à rude épreuve. « Jeudi, rappelle le quotidien américain, la situation a de nouveau brutalement basculé en l'espace de quelques heures. D'abord, le président américain a menacé de frapper l'Iran « très fort » (…) Puis il a brusquement annulé ces attaques, affirmant que des progrès avaient été réalisés dans les négociations de paix ». « Pour les Iraniens ordinaires, explique le New York Times, cette oscillation constante entre peur et soulagement, angoisse et espoir, est éprouvante ». Le journal a interrogé des Iraniens par téléphone ou sms. « Ils disent vouloir simplement que la guerre prenne fin », explique le quotidien américain. Mais ce n'est pas leur seule préoccupation. La situation économique les inquiète également : « Les entreprises sont paralysées par la fluctuation des prix, on a l'impression que notre vie est en suspens », explique ainsi Reza, un cadre de 48 ans. Alors que Mahasti, une habitante de Téhéran âgée de 65 ans, « estime que les perturbations commerciales et la réduction des revenus pétroliers iraniens détériorent lentement la qualité de vie de nombreux iraniens. Nos vies, dit-elle, deviennent de plus en plus difficiles de jour en jour ». Liste d'adresses Les violences racistes en Irlande du Nord préoccupent la presse britannique. Le Guardian s'est rendu sur place à Belfast où, nous dit-il, « les membres des communautés ethniques minoritaires expriment leur inquiétude face aux violences qui mettent en lumière le racisme en Irlande du Nord ». Inquiétude amplifiée par « une liste d'adresses qui commence à circuler sur les réseaux sociaux, explique le quotidien britannique. Réparties sur un vaste territoire, dans des dizaines de rues de la ville, ces adresses correspondent à des logements collectifs où vivent des immigrés ». Le Guardian a rencontré « Joseph et Solomon, deux réfugiés érythréens qui ont un permis de séjour et travaillent à temps plein. Jusqu'à présent, Joseph se sentait en sécurité à Belfast. "La plupart des gens ici sont bienveillants", dit-il. Mais il envisage désormais de partir, explique le quotidien britannique ». Le quotidien français Libération s'est lui aussi rendu sur place, à Belfast, et rappelle que « l'appel à la violence s'est répandu comme une traînée de poudre en début de semaine. La vidéo d'une attaque au couteau perpétrée lundi soir à Belfast Nord par un réfugié soudanais, a largement été relayée en ligne, appuyée par les interventions d'Elon Musk et de Tommy Robinson, le premier influenceur de l'extrême droite britannique ». Une travailleuse communautaire s'inquiète : « Je ne pensais pas vraiment que ça prendrait cette ampleur. Que des maisons brûlent, ce n'est pas nouveau en Irlande du Nord, ça arrive en raison des divisions communautaires. Mais ce qui est différent, c'est que ce soit si organisé et que ça concerne autant de logements ». Bonjour tristesse L'actualité du sport est dominée par le coup d'envoi de la Coupe du monde de football, mais en France une disparition suscite l'émotion. La mort de Charlie Dalin, vainqueur de la dernière course à la voile autour du monde en solitaire, sans escale et sans assistance, en 2025. Le journal L'Équipe fait sa Une avec une photo du marin et ce titre « Un océan de larmes ». « Charlie Dalin a succombé hier au cancer gastro-intestinal qui le rongeait mais qui n'a pas empêché sa consécration sur le Vendée Globe en 2025 (...) C'était un marin profond et taiseux », ajoute L'Équipe, qui retrace son parcours, depuis son enfance lorsqu'il monte sur un « bateau de plage », jusqu'à sa maladie. Pour Le Figaro, Charlie Dalin était « un homme de combats et un marin de talent (...) Âgé de 42 ans, poursuit le quotidien français, il largue donc définitivement les amarres et laisse à terre, une femme, un petit garçon, Oscar, une famille et une équipe ravagés par la tristesse ». Même émotion pour Le Monde, qui se désole : « Charlie Dalin a pris le large à tout jamais ».
Un peu comme Obélix et sa potion magique, Élie Bremont est tombé dans la pâtisserie quand il était tout petit. Petit-fils de pâtissier et fils de restaurateurs, il grandit entre les cuisines et les desserts avant de faire de cette passion un métier. Aujourd'hui chef pâtissier au Restaurant La Chabotterie, à Montréverd en Vendée, il développe une pâtisserie à la fois gourmande, généreuse et profondément inspirée par son environnement. Et en 2026, il obtient le trophée “Passion Dessert” supplément coup de coeur pour son dessert autour de la fraise, pistache et du romarin.Ensemble, on a parlé de chocolat sous toutes ses formes (des éclairs de son enfance aux infusions de cacao qu'il explore aujourd'hui) mais aussi de création, de transmission et de curiosité. Élie raconte ses souvenirs avec son grand-père, ses inspirations parfois inattendues (une odeur, une lampe, une plante du jardin du restaurant…), ses essais ratés au houblon, ses associations de saveurs les plus surprenantes et sa quête permanente d'équilibre entre gourmandise, fraîcheur et texture.Au menu de cet épisode :
Támogatott tartalom. Március elején jelent meg magyarul Thomas Pynchon életművének eddigi legvaskosabb regénye, az Ellenfényben. Az eredetileg 2006-ban megjelent könyv műfajokon és kontinenseken átívelő, hol vadnyugati jeleneteken és detektívtörténeteken, hol pedig mély tudományos fejtegetéseken keresztül mutatja be a 19. század végének globális kavarodását, rengeteg szereplőt felvonultatva, a hagyományos olvasási módszereinket is alaposan próbára téve. A regényről és a híresen rejtőzködő Pynchon alakjáról beszélgettünk Dragon Zoltánnal, a Szegedi Tudományegyetem Angol-Amerikai Intézetének oktatójával, arra is kitérve, hogy hogyan érdemes nekifogni ennek az ezeroldalas könyvnek, és miért annyira jó élmény Pynchont olvasni. Ha valaki további kapcsolódó tartalmakra vágyna, a kötet márciusi bemutatója szintén meghallgatható nálunk. A tartalomból: 00:00 Vendégünk Dragon Zoltán. És a téma Pynchon, a kortárs irodalom legismertebb rejtőzködője. De miért érdekel minket egyáltalán annyira, hogy ki ő? Talán Krasznahorkait lenne érdemes kérdezni. 07:10 Pynchon mint egy bűvész, teljesen összeegyeztethetetlen dolgokat pakol össze, és csihol belőle értelmet. 10:10 A posztmodern hagyomány, teljesen eltérő szerzőkkel. És hogy miért lenne reménytelen kísérlet Pynchont megpróbálni utánozni. 14:00 Filmes adaptációk sikerének titka, főleg a legutóbbi Oscaron taroló Egyik csata a másik után után. 16:30 És akkor az Ellenfényben: hogyan érdemes egyáltalán olvasni? Rengeteg vicc, zsáner és párbeszéd, Pynchon maga is ad kulcsot az olvasáshoz. A matematikai fejtegetések pedig akár át is ugorhatóak. Olyan, mintha sorozatot néznénk: nem kell mindent feltétlenül megérteni, és a végére sok minden összeáll, erőlködés nélkül is. 27:10 Egyáltalán: miről szól ez a regény? Paktum az olvasóval, hogy a mélységek után mindig jönni fog valami váratlan húzás. 33:00 A rengeteg szereplő, mint eszköz a világ mozgatásához. Hit és kétely a tudományban, anarchisták és a vadnyugat vége: tényleg mindenki ott van e lapokon. 40:00 Játék a történelemmel és a paranoia, mint szervezőelv. 46:00 Pynchon új regénye, ami hamarosan érkezhet majd magyarul is. Ez a tartalom a Jelenkor Kiadó támogatásával valósult meg. See omnystudio.com/listener for privacy information.
durée : 00:17:12 - Le 13/14 - par : Jérôme Cadet - Il avait attendu neuf mois après sa victoire dans le Vendée Globe, il y a deux ans, pour révéler le mal qui le rongeait à bord… Un cancer de l'intestin… Le navigateur Charlie Dalin est mort à Quimper la nuit dernière, à l'âge de 42 ans. - réalisation : Cecilia Arbona, Camille Poux-Jalaguier Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
durée : 00:59:51 - Le 13/14 - par : Jérôme Cadet - Vainqueur du Vendée Globe le 14 janvier 2024, il laisse derrière lui une trace immense… - réalisation : Camille Poux-Jalaguier, Cecilia Arbona Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
A mai kormányinfón hivatalossá vált: a Tisza-kormány társadalmi egyeztetésre bocsátja a kriptoeszközök kereskedelmére vonatkozó korábbi, az uniós joggal ellentétes és büntetőjogi szankciókat is tartalmazó szabályozás hatályon kívül helyezését. Vendégünk Kanti Péter, a Dorsum üzleti tanácsadás, blockchain & digitális eszközök üzletágának vezetője volt. A műsor második felében a ma induló focivébé üzleti aspektusait vettük górcsó alá. Az USA-Kanada-Mexikó közös rendezésű torna a példátlan beutazási korlátozások mellett a botrányos jegyárak miatt is kereszttűzbe került, hiszen az Üzbegisztán-Kongói Demokratikus Köztársaság kaliberű derbikre is minimum sok száz dolláros áron lehetett belépőhöz jutni. Megtelnek-e ennek ellenére a lelátók, mennyit kaszál a Fifa és az új rendszer nem inflálja-e el a meccsek értékét? Ezekről a kérdésekről is szót ejtünk Szabados Gábor sportközgazdásszal. Főbb részek: Intro − (00:00) Feltámad a kriptokereskedelem − (02:14) Indul a focivébé: nagy üzlet, drága mulatság − (11:15) Kép forrása: Getty ImagesSee omnystudio.com/listener for privacy information.
Nur neun Boote gingen bei der laufenden Vendée Arctique an den Start. Das Ranking ist erwartbar. Steuert der IMOCA-Zirkus in eine Flaute? Dazu sprechen wir über die unterschiedlichen Ansätze bei den Neubauten, über die Solitaire du Figaro und weitere Themen.
4 - Vendégünk Fazekas Ádám világbajnok fagylaltmester, akit beiktattak a szakma halhatatlanjai közé by Balázsék
00:00 - 6 óra 27:04 - Nem sokon múlt a tragédia, füstölve zuhant a pályára a pókkamera a magyar labdarúgó válogatott meccsén 46:40 - Új szóvivője van a mentőknek, be is mutatták Győrfi Pál utódját 1:01:10 - Vendégünk Fazekas Ádám világbajnok fagylaltmester, akit beiktattak a szakma halhatatlanjai közé 1:21:15 - Péniszméret alapján rangsorolták a foci-vb indulóit 1:36:42 - Vacsora közben egyszer csak elment a hangja, és évek múltán sem jött vissza
Mi szerepel pontosan az eu-források lehívása érdekében benyújtott törvénycsomagban és elegendő aktus lesz-e a Bizottság számára, ha az Országgyűlés megszavazza a reformokat? Vendégünk volt Szabó Dániel, a Portfolio EU-s ügyekkel foglalkozó szakértője. Adásunk második részében arról volt szó, hogy a Magyar-kormánynak záros határidőn belül döntenie kell annak a több tízezer házaspárnak a sorsáról, akiknek nem sikerült a szerződésben vállalt idő alatt gyermeket vállalniuk, és ezáltal esedékessé válhat számukra a kamattámogatás visszafizetése és a törlesztőrészletük emelkedése. A témában Palkó Istvánnal, a Portfolio Pénzügy rovatának vezető elemzőjével beszélgettünk. Főbb részek: Intro – (00:00) EU-s pénzek – (01:33) Babaváró kölcsön – (21:00) Kép forrása: MTI/EPA/Olivier HosletSee omnystudio.com/listener for privacy information.
durée : 00:00:56 - Trois navigateurs de la course Vendée Arctique s'apprêtent à déployer des bouées météo dérivantes, dès qu'ils passeront la ligne du cercle polaire. Ces appareils de mesure serviront à améliorer les prévisions officielles, ainsi qu'à surveiller le changement climatique. - réalisation : Service sciences, santé, environnement et technologie Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
Savez-vous que des paraboles sont parfois liées entre elles ? Pack-paraboles offert dont une gratuite ou bouquet de paraboles ? Vous vous en doutez, derrière ces regroupements, préside une certaine logique orientant la lecture de chacune d'entre elles.NOTES · BIBLIOGRAPHIE | SCHEMAS ET ILLUSTRATIONS | TABLE DES PARABOLES· Épisode enregistré en Vendée (85, France), juin 2026.· Image de couverture : Douze tournesols dans un vase, Vincent van Gogh, 1888 – huile sur toile 91 x 72 cm, Neue Pinakothek, Munich (DE), source : Wikimedia Commons. CHAPITRES 00:00 Générique et présentation 01:45 (1) Les collections de paraboles 06:10 (2) Matthieu et le Fils révélé09:10 (3) Luc et les conditions d'entrée dans le Royaume de Dieu 12:35 (4) Marc et la croissance du Règne de Dieu 16:50 (5) Conclusion 18:56 Générique de finPlateformes, réseaux & contact : https://linktr.ee/aulargebibliqueRéalisation : François Bessonnet, prêtre & bibliste. Génériques : Erwan Marchand (D.R.). Sous Licence Creative Commons (cc BY-NC-ND 4.0 FR). No IA Used.Cette émission s'appuie sur les sciences exégétiques et bibliques (voir bibliographie)Soutenez le podcast avec Tipeee ou Ko-fi
Send us Fan MailEl día que vendí mi empresa me di cuenta de 3 realidades. Con 150 empleados, 22 tiendas, flujo de caja real. Pero tuve que aceptar 30% menos en el precio de mis acciones para poder salirme, y lo hice antes de acostumbrarme al nuevo sueldo.Lo que nadie te cuenta del ecosistema startup: el 90% de los exits resultan en fundadores que se llevan cero dinero. La razón es técnica pero brutal: common stock, preferred shares, exit multiples y deuda senior devoran el retorno antes de que al fundador le llegue un peso.Detrás de todo el glamour de vender una empresa, hay letras chiquitas a las que deberías poner atención.
Mi történik, amikor valaki seftelésből indul, nagy céget épít, majd a növekedés közben majdnem mindent elveszít? Vendégünk Surányi Feri, az M.I Solution Kft. tulajdonosa volt, akivel a könnyített cégmodellről, a túl nagyra nőtt vállalkozás veszélyeiről és az önműködő cég valódi áráról beszélgettünk.
Koltai-Tóth Réka osztályfőnők kíséretével 7 kisdiák érkezett a Budakeszi Széchenyi István Általános Iskola 4.E zene tagozatos, katolikus osztályából. Mindenki bátran, derűsen, őszintén beszélt magáról, hitről, hogy miért jó gyereknek lenni és miért lehet jó felnőttnek lenni. Vendégek: Koltai-Tóth Rék, Nagy Boglárka, Szkladányi Mária, Gyulai Barnabás, Havas Ferenc, Lakatos Nimród, Prokai Bálint, Sályi Zsigmond Szeretettel: szerkesztő-műsorvezető: Ládai Eszter
Pos. Report en vidéo aux Sables ! A l'occasion de la Vendée Arctique Les Sables d'Olonne 2026, Pos. Report se délocalise aux Sables d'Olonne pour cinq épisodes consacrés à la course, en partenariat avec la classe Imoca, trois en amont du départ, deux pour débriefer après les arrivées. Cinq épisodes enregistrés en vidéo depuis le village, diffusés sur toutes les plateformes d'écoute et sur les chaînes YouTube de Sailorz, de la classe Imoca et du Vendée Globe.Ce 250e épisode de Pos. Report reçoit deux marins qui, comme les sept autres bizuths (sur neuf partants), vont découvrir le Grand Nord, Violette Dorange (Initiatives Coeur) et Nicolas d'Estais (Café Joyeux).De retour sur les lieux de son premier Vendée Globe, Violette Dorange commence par ouvrir la boîte à souvenir, en particulier celui du jour du départ, avant d'expliquer comment il lui a fallu “digérer” ce tour du monde et l'incroyable engouement populaire qui l'a accompagnée, au point qu'elle a dû un moment faire une pause réseaux sociaux.Nicolas d'Estais analyse le “phénomène” Violette Dorange, qu'il a découverte en 2019 puisqu'ils ont couru la même édition de la Mini Transat, et raconte comment le fait d'accompagner certains de ses amis sur le dernier Vendée Globe - Clarisse Crémer, Tanguy Le Turquais, Benjamin Ferré - lui a donné l'envie, lui aussi, de se lancer dans l'aventure.Avec un projet lancé en 2025 qui s'inspire d'ailleurs un peu de celui de Violette Dorange en 2024, puisque sur un bateau à dérives. Interrogée sur les conseils qu'elle pourrait donner au skipper de Café Joyeux, cette dernière met en avant la nécessité de ne pas négliger la préparation sportive, elle-même ayant passé beaucoup de temps à chercher des partenaires.Elle évoque ensuite le projet Initiatives Coeur, “le projet de ses rêves”, et sa saison 2025 d'apprentissage aux côtés de Sam Davies, terminée sur une 6e place sur la Transat Café L'Or. 3e de la première course de l'année 2026, la 1000 Race, la benjamine de la Vendée Arctique (25 ans) se projette avec confiance, mais aussi un peu d'appréhension, vers cette course, consciente que les conditions météo au moment d'approcher le cercle polaire arctique seront rudes.Nicolas d'Estais estime quant à lui que cette Vendée Arctique est la course qui, parmi celles au programme de l'Imoca, ressemblera le plus au Vendée Globe, avec des conditions variées et une météo sans doute engagée. Nos deux invités terminent cet épisode en expliquant comment la cause portée par leur projet sportif - Mécénat Chirurgie Cardiaque pour Initiatives Coeur, Café Joyeux - leur donne un plus en termes de motivation en mer.En partenariat avec la classe ImocaDiffusé le 4 juin 2026Production : PolaryseHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
durée : 00:11:29 - L'Invité(e) des Matins du samedi - par : Nicolas Herbeaux - Une joaillerie ultra-locale et étonnante naît en Vendée : des bijoux créés à partir de quartz ramassés dans les champs. À découvrir ce week-end au musée du Mange-Cailloux à Mortagne-sur-Sèvre. Thierry Charrier, son directeur, nous en parle. - réalisation : Jean-Christophe Francis, Victoria Géraut-Velmont - invités : Thierry Charrier Directeur du Musée du Mange-Cailloux à Mortagne-sur-Sèvre en Vendée Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
durée : 01:59:30 - Les Matins de France Culture - par : Nicolas Herbeaux - Cette semaine, dans les matins du samedi, nous nous questionnons sur les solutions envisagées pour plus de sobrieté avec les économistes Adrien Fabre et Friederike Röder. Nous nous intéressons aussi aux diamants des champs vendéens ainsi qu'au spectacle acrobatique du collectif XY. - réalisation : Marguerite Catton, Jean-Christophe Francis, Margaux Leridon, Victoria Géraut-Velmont - invités : Friederike Röder Directrice de l'Organisation Non Gouvernementale ONE France, Adrien Fabre Économiste, chercheur au CNRS, Antoine Billaud Directeur de production du Collectif XY , Thierry Charrier Directeur du Musée du Mange-Cailloux à Mortagne-sur-Sèvre en Vendée Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
durée : 00:03:59 - InterNational - par : Jose Manuel Lamarque - Nico, d'Estais, un voileux, pas n'importe lequel puisque après-demain il va quitter les Sables-d'Olonne pour le Vendée Arctique… Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
Ce vendredi x mois année, Liste INVITES et FONCTiON, se sont penchés sur les titres (....à lister... ), dans On achète ou on vend ? dans l'émission C'est Votre Argent présentée par Marc Fiorentino. C'est Votre Argent est à voir ou écouter le vendredi sur B
John Zmirak. Hero Tina Peters Released from Demoncrat Gulag. The Eric Metaxas Show John Zmirak Jun 03 2026 Today On The Eric Metaxas Show, Eric celebrates the launch of Revolution before talking with John Zmirak about the release of Tina Peters, the Colorado election official imprisoned after challenging the 2020 election narrative. They discuss election integrity, weaponized government, political persecution, January 6 defendants, the Save Act, Tina Peters's refusal to say the 2020 election was honest, and why John compares her case to the Dreyfus affair. Eric and John also discuss George Washington, providence, the retreat from Long Island, and why America's founding story still matters today. Subscribe for clips from The Eric Metaxas Show to hear politics and culture from a Christian perspective.⭐ ORDER TODAY:Revolution: The Birth of the Greatest Nation in the History of the World
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
William Boiché a vendu son entreprise à 35 ans pour 150 millions d'euros.Mais derrière cette réussite financière, l'épisode raconte surtout ce qu'il se passe après.Comment on vit un exit, pourquoi certains entrepreneurs dépriment après avoir vendu et comment se réinventer à travers de nouveaux projets ?Originaire d'un village près de Nancy, William construit très tôt une vision ambitieuse de l'entrepreneuriat.En 2012, il lance Clémentine avec son père, bien avant que la comptabilité en ligne ne devienne un marché majeur en France.Une intuition visionnaire en avance sur son temps, que l'on retrouve aujourd'hui dans les nouveaux modèles de fintech et de comptabilité SaaS.À l'époque, l'entreprise avance sans lever de fonds.William revend même sa voiture pour financer les débuts du projet et développe les premières versions avec des moyens limités.Année après année, Clémentine grandit jusqu'à dépasser 10 000 clients, 300 collaborateurs et des bureaux de 4 800 m² à Nancy.L'entreprise devient progressivement l'un des leaders français de l'expertise comptable en ligne avant son rachat par le groupe européen TeamSystem, filiale de Google.Mais l'épisode ne parle pas uniquement de business.William partage aussi sa vision du travail, de l'argent et du succès.Pourquoi l'ambition reste présente même après avoir gagné plusieurs millions.Pourquoi certaines personnes continuent d'entreprendre malgré la sécurité financière.Et pourquoi l'égo peut devenir le plus grand ennemi d'un entrepreneur.Ils échangent aussi sur la manière dont un entrepreneur évolue après avoir vendu sa société.Le rapport au temps change, les barrières financières tombent, mais le besoin de construire reste souvent intact.Pour William, entreprendre n'a jamais été uniquement une question d'argent.C'est avant tout une manière de se challenger, de progresser et de créer quelque chose qui dure dans le temps.Un épisode sur l'ambition, la construction, la transmission et l'après réussite.Bonne écoute !===========================
A magyar és a nemzetközi kötvénypiac aktuális helyzetéről, a forint kilátásairól és a legfontosabb piaci kockázatokról beszélgettünk. Vendégünk Cinkota Norbert, a K&H Értékpapír vezető elemzője volt. Az adás második részében a fine dining világáról, valamint a Michelin-csillagos éttermek működtetésének kihívásairól volt szó. Harmath Csabát, a Gault&Millau étteremkalauz chief inspectorát annak apropóján kérdeztük, hogy hamarosan bezár a tatai Platán Gourmet, amely elsőként és máig egyedüliként szerzett két Michelin-csillagot a vidéki magyar éttermek közül. Főbb részek: Intro – (00:00) Kötvénypiacok – (01:44) Fine dining – (12:19) Kép forrása: Getty ImagesSee omnystudio.com/listener for privacy information.
Pos. Report en vidéo aux Sables ! A l'occasion de la Vendée Arctique Les Sables d'Olonne 2026, Pos. Report se délocalise aux Sables d'Olonne pour cinq épisodes exceptionnels consacrés à la course, en partenariat avec la classe Imoca, trois en amont du départ le 7 juin, deux pour la débriefer après les arrivées. Cinq épisodes enregistrés en vidéo depuis le village officiel, diffusés sur toutes les plateformes d'écoute et sur les chaînes YouTube de Sailorz, de la classe Imoca et du Vendée Globe.Ce 249e épisode de Pos. Report reçoit deux marins qui feront à n'en pas douter partie des favoris de la course, Sam Goodchild (Macif Santé Prévoyance) et Ambrogio Beccaria (Allagrande Mapei).Sam Goodchild commence par remonter 16 mois en arrière et son arrivée au même endroit à la 9e place de son premier Vendée Globe, un souvenir qui reste marquant pour lui, tandis qu'Ambrogio Beccaria raconte comment, au départ de cette édition 2024, il en était au tout début de l'élaboration de son projet, avec son partenaire italien Mapei.Il explique dans la foulée comment ce projet s'est structuré, avec la collaboration, en 2025, de l'équipe Thomas Ruyant Racing, qui lui a permis de se lancer dans des conditions idéales en Imoca. Sam Goodchild raconte quant à lui comment son projet Imoca a basculé en cours d'année dernière quand la Macif lui a proposé de remplacer Charlie Dalin et tire les enseignements d'une première saison réussie, avec notamment une victoire sur la Course des Caps et une 3e place sur la Transat Café L'Or.L'Italien détaille ensuite le gros chantier d'hiver de son plan Koch Finot Conq Allagrande Mapei (ex Vulnerable) avec une implantation des foils modifiée, de nouveaux foils (qui arriveront après la Vendée Arctique) et beaucoup de poids gagné. Il confie attendre avec impatience cette Vendée Arctique, d'abord parce que c'est sa première course en solitaire sur le bateau, ensuite parce qu'elle comprend une grosse part d'inconnu avec son parcours très Nord, ce qu'il apprécie tout particulièrement.Pas de gros changements du côté de Macif Santé Prévoyance l'hiver dernier, dans la mesure où Sam Goodchild attend un nouveau plan Verdier pour 2027, le Britannique ayant remporté la première course de la saison, la 1000 Race, d'où un statut de favori sur la Vendée Arctique qu'il assume, signe que lui et son équipe ont bien travaillé. Les deux marins détaillent les stratégies possibles sur les 3 500 milles du parcours et finissent en évoquant la suite de leur saison, et notamment leur préparation pour la Route du Rhum-Destination Guadeloupe.En partenariat avec la classe ImocaDiffusé le 4 juin 2026Production et post-production : PolaryseHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
00:00 - 6 óra 29:09 - Szomorú képek láttak napvilágot a kiszáradás szélén billegő Velencei-tóról 46:57 - A csepeli kikötőben 7000 banános dobozt szedtek szét, amiben egy teljes raklapon összesen 438 kokaintömböt találtak 1:03:29 - Vendégünk Kovács Dániel a Birodalom című fikciós sorozat rendezője és Choky Ice 1:40:41 - Feri egy félrement utalást szeretne visszahívni
4 - Vendégünk Kovács Dániel a Birodalom című fikciós sorozat rendezője és Choky Ice by Balázsék
Karina vous dévoile les décisions de justice les plus improbables.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
A Nestlé Hungária top 100-as, exportvolument tekintve top 10-es cég Magyarországon, a PwC elemzése alapján éves szinten 0,5 százalékkal járul hozzá a magyar gazdaság működéséhez. Noszek Péter ügyvezető igazgató volt a vendégünk, aki már 35 éve dolgozik a cégnél. Kérdeztük a hazai gyártásról és a magyar piac sajátosságairól, de azt az érdekességet is megosztotta velünk, hogy milyen véletlen vezetett ahhoz, hogy a részese lett a Nestlé kelet-európai piacra lépésének 1991-ben.
Au Liban, face à toutes les urgences de la guerre, la santé mentale passe souvent au second plan. Pourtant, les conséquences du conflit sont insidieuses sur la société. Au quotidien, comment tenir face au déplacement forcé qui dure depuis trois mois pour un quart de la population ? Face au stress des bombardements ? Au deuil ? Le tout, alors que la crise économique qui s'est installée depuis plus de sept ans a durablement appauvri la population. En 2025, le Liban était l'un des pays les plus malheureux du monde, classé 145 sur 147 dans le rapport World Happiness. Reportage de notre correspondante à Beyrouth, Sophie Guignon Nous sommes dans le quartier de Hamra, à Beyrouth, au Liban. Dans de nombreux immeubles désaffectés, on peut apercevoir des déplacés qui n'ont pas trouvé de meilleurs refuges. À quelques pas, dans sa pharmacie, le docteur Omar Richany confie : « Tu veux que je te dise franchement : on vend beaucoup de pilules contre l'anxiété et la dépression. On vend plus de médicaments contre la dépression que de paracétamol contre les maux de tête. » Un mal-être général causé par l'accumulation de crises que traverse le Liban, selon le pharmacien : « La situation dans laquelle on vit est très mauvaise. Les banques ont volé l'argent des gens. À cause des guerres, personne n'a de travail, tout est très angoissant. C'est ça qui pèse sur les gens. Heureusement que les médicaments existent pour que l'on puisse dormir, pour qu'on puisse se détendre un peu. Sans cela, ce serait encore plus dur. » « Les déplacements forcés ont un impact très douloureux sur les individus » Comme dans cette pharmacie, à l'échelle du pays, les ventes d'antidépresseurs augmentent de manière vertigineuse. Dans les locaux de l'ONG Embrace, on reçoit des appels de tout le Liban. Au bout du fil, plus de 120 bénévoles formés à la prévention des suicides. Mira Dali Balta, psychologue chargée du 1564, la ligne d'écoute gratuite nationale fondée par l'ONG Embrace en 2017, explique : « Les gens ont perdu beaucoup de biens matériels, mais aussi symboliques. Avec les déplacements d'un endroit à un autre, ils ont dû abandonner beaucoup d'objets et de souvenirs attachés à leur foyer. Alors qu'ils croyaient leur lieu de refuge en sécurité, il s'avère que ces lieux sont ciblés à leur tour. Toutes ces pressions liées au déplacement forcé ont un impact très douloureux sur les individus qui se sentent impuissants. » L'ONG reçoit plus de 60 appels par jour, principalement de jeunes entre 18 et 34 ans inquiets pour l'avenir. Agatha Abboud est responsable de la ligne d'urgence : « Nous avons du mal à répondre au grand nombre d'appels. Tout le monde vit dans une forme d'anxiété, d'incertitude quant à l'avenir, d'un manque d'espoir. On ne sait pas quand ça va s'améliorer. » Y aura-t-il une lumière au bout de ce tunnel de crise ? Le moral des Libanais en dépend. À lire aussiÀ l'ombre de la trêve, l'anéantissement du sud du Liban
Ce 248e épisode de Pos. Report, premier d'une série de cinq, en partenariat avec la classe Imoca, consacrés à la Vendée Arctique Les Sables d'Olonne 2026 et enregistrés en audio et vidéo sur le village à Port Olona, reçoit deux marins qui, le dimanche 7 juin à 13h02, vont s'élancer sur la course pour la première fois, Elodie Bonafous (Associations Petits Princes-Quéguiner) et Corentin Horeau (MACSF).Ils commencent par raconter ce qu'ils ont ressenti en remontant le chenal des Sables d'Olonne pour venir amarrer leurs bateaux respectifs au ponton du Vendée Globe. Elodie Bonafous revient sur la genèse de son projet Imoca, lancé très tôt, avec un plan Verdier, sistership du vainqueur du dernier Vendée Globe, Macif Santé Prévoyance, mis à l'eau en février 2025, qu'elle a pris le temps d'apprivoiser l'an dernier, sous la houlette notamment de Yann Eliès.Les deux marins se connaissant très bien pour avoir navigué ensemble en Figaro - Corentin Horeau confie d'ailleurs que leur victoire sur le Trophée Banque Populaire Grand Ouest 2024 est sans doute son meilleur souvenir sportif -, le vainqueur de la Solitaire du Figaro 2023 ne tarit pas d'éloges sur sa voisine de plateau - qui lui rendra la pareille en fin d'épisode -, parvenue après trois ans de Figaro à “monter” en Imoca.Il raconte ensuite à son tour comment il a lancé son projet, co-skipper en 2025 de Yoann Richomme sur Paprec Arkéa, un apprentissage très riche avant de prendre en main cette année le plan Koch Finot-Conq de ce dernier, rebaptisé MACSF. Nos deux invités évoquent leur rentrée sur la 1000 Race en mai - 2e place pour Corentin Horeau, 4e pour Elodie Bonafous - avant de se projeter sur la Vendée Arctique et son parcours inédit, puisqu'il s'agira d'aller couper le cercle polaire arctique, par 66° Nord, peu importe l'endroit.Ils expliquent comment ils ont préparé ce rendez-vous - première course qualificative pour le Vendée Globe 2028 - qui s'annonce engagé et ce qu'ils en attendent dans leur courbe de progression et en termes de résultat sportif.En partenariat avec la classe ImocaDiffusé le 2 juin 2026Générique : Fast and wild/EdRecordsProduction et post-production : PolaryseHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
3 - Vendégünk Törteli Eszter: Szemtől szemben a halállal c. most megjelent könyve kapcsán by Balázsék
00:00 - 6 óra 29:33 - Káoszba fulladt Travis Scott csepeli koncertje? 1:05:28 - Vendégünk Törteli Eszter: Szemtől szemben a halállal c. most megjelent könyve kapcsán 1:42:50 - Nagy Kapura Rúgás játék - hétfő
Miért kerültek bajba a forinterősödést követően az export fókuszú hazai vállalatok, ki a felelős a problémáért és milyen megoldások jöhetnek szóba számukra? Vendégünk volt Beke Károly, a Portfolio makroelemzője. Adásunk második részében arról volt szó, hogyan maradhatnak talpon a hazai kkv-k, ha a magyar gazdaság a mennyiségi növekedés határait elérve átáll a hatékonyság- és tudásalapú pályára. A fordulat végrehajtásáról, a menedzsmentek feladatairól és a szükséges szabályozói magatartásról Balog Ádámmal, az MKIK alelnökével, a KAVOSZ igazgatóságának elnökével beszélgettünk. Főbb részek: Intro – (00:00) Forint, export – (01:42) Makronaptár – (15:53) KKV-k – (16:52) Kép forrása: PortfolioSee omnystudio.com/listener for privacy information.
Ce 1er juin, dans RTL2 Pop-Rock Station, Marjorie Hache convoque PJ Harvey, Ozzy Osbourne, Billy Idol, Guns N' Roses, Cage The Elephant, Iggy Pop, Deftones, Charli XCX et Nada Surf. L'animatrice célèbre le 54e anniversaire de la sortie du premier disque des Eagles, avec le titre "Take It Easy". La sélection réunit également The Velvet Underground, The Cure, Frankie Goes to Hollywood et The Faces. Les Foo Fighters font résonner "Your Favourite Toy", tandis que Massive Attack et Tom Waits récidivent avec "Boots On The Ground". The Strokes, Lana Del Rey et les Vendéens de Dynamite Shakers répondent présents. Le duo électro-rock écossais Boards of Canada annonce son grand retour avec "Prophecy At 1420 MHZ". La primeur de la soirée met en lumière le duo irlandais Dea Matrona, qui offre le morceau "My Own Party", abordant le thème du syndrome de l'imposteur. L'album de la semaine se penche sur le troisième disque du trio londonien Saint Agnes, "Your God Fearing Days Are About To Begin", dont on découvre aujourd'hui le titre "The Beast", confirmant leur puissance métal. Enfin, la reprise du jour s'annonce envoûtante : les Canadiens de Cowboy Junkies revisitent avec délicatesse le célèbre hymne "One" de U2, sorti initialement en 1992. Foo Fighters - Your Favorite Toy Guns N' Roses - Paradise City The Eagles - Take It Easy P.J. Harvey - A Place Called Home Cage The Elephant - Shake Me Down Iggy Pop - Lust For Life Deftones - My Own Summer Saint Agnes - The Beast Ozzy Osbourne - Mr. Crowley Billy Idol - Eyes Without A Face Charli XCX - Rock Music Cowboy Junkies - One Nada Surf - Always Love Massive Attack & Tom Waits - Boots On The Ground The Velvet Underground - I'm Waiting For The Man Starcrawler - Road Kill Dynamite Shakers - Cinema Frankie Goes To Hollywood - Relax Boards Of Canada - Prophecy At 1420 MHz Dea Matrona - My Own Party Alt+J - Left Hand Free Faces - Ooh La La The Cure - A Forest Lana Del Rey - First Light The Strokes - Falling Out Of LoveHébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
À l'approche du départ de la Normandy Channel Race 2026 ce dimanche, nous vous proposons de réécouter cet épisode consacré à Corentin Douguet. Vainqueur de l'édition 2025 avec Axel Tréhin en Class40, Corentin Douguet fut, durant de longues années, l'un des piliers et des animateurs du circuit Figaro. Revenons sur sa carrière de marin.--Corentin Douguet, c'est d'abord une voix, basse, grave, posée, souvent espacée de quelques silences ; c'est un ton, ensuite, mélange d'autodérision et de second degré. C'est surtout, enfin, plus de vingt années de haut niveau, marquées par 11 participations à la Solitaire du Figaro.Pourtant, s'il a découvert la voile très jeune sur le Muscadet familial, ce n'est que bien plus tard, à l'Ecole nationale de la marine marchande à Nantes, qu'il découvre la compétition. Sur les bancs de la Marmar, il rencontre Thierry Douillard, Thierry Chabagny, Fred Guilmin, Charles Caudrelier, Matthieu Richard... autant dire que son apprentissage de la régate, s'il est tardif, se fait en bonne compagnie !Sa voie est trouvée, il n'entrera jamais dans la carrière au long cours : régates, convoyages, préparation, il navigue dès qu'il le peut. En 2001, il se lance dans la Mini Transat, en faisant "tout ce qu'il ne faut pas faire" pour ce premier projet. Il enchaîne rapidement sur des courses en Figaro avec Thierry Chabagny et sur le Tour de France à la voile. Mais en 2003, son copain Armel Tripon remporte la Mini Transat, alors Corentin Douguet met en place un projet sérieux pour l'édition 2005 - qu'il remporte en gagnant toutes les courses de la saison...Logiquement il enchaîne sur le circuit Figaro, multipliant les participations à la Solitaire (et l'AG2R), marquées par deux podiums en 2007 et 2010. Après cinq saisons intenses, il choisit de revenir à l'équipage en 2011, en manageant le projet Tour de France à la voile de Nantes et Saint-Nazaire en M34 pendant 3 saisons. En 2014 il est de retour sur le circuit Figaro, antichambre idéale du Vendée Globe, qu'il vise désormais. Il y squatte le top 10, multiplie les podiums d'étape, mais ne parvient pas à convaincre un sponsor de s'embarquer sur le Vendée Globe.Sa dernière Solitaire, en 2020, se termine avec un abandon sur vertèbre cassée, mais l'année suivante, embarqué par Tanguy Le Turquais, ils décrochent une 2e place sur la Transat en double. Dans l'intervalle, il a lancé, avec le soutien d'un investisseur, la construction d'un Class40 pour le Rhum 2022. Il se présente à Saint-Malo en favori, après avoir gagné ou fini deuxième de toutes les courses de la saison : avec une 3e place sur la transat, ce sera finalement son plus mauvais résultat sur le support !Depuis, Corentin Douguet, dont l'expertise en routage et en navigation est reconnue, découvre la vie de marin free-lance : des navigations de mise au point sur Arkea Paprec en début d'année ; la participation (écourtée) la Bermudes 100 Race avec Guirec Soudée ; et la saison Class40 2023 avec Fabien Delahaye... son carnet de bal est complet jusqu'à la fin de l'année.A-t-il envie, à bientôt 49 ans, de reconstruire un projet personnel ? "C'est une bonne question, je cherche à y répondre depuis la fin de la Route du Rhum", répond-il dans son style caractéristique. "Ce qui est sûr, c'est que j'ai encore la gnaque pour aller me faire mal sur l'eau, c'est le plus important." Rediffusé le 29 mai 2026Générique : In Closing – Days PastPost-production : Grégoire LevillainHébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.
4 - 2700 eurós kártérítést követelt egy vendég, mert nem kapott csapvizet egy ötcsillagos alpesi szállodában by Balázsék
Vidéo produite et présentée par HugoDécrypteJournalistes : Léah Boukobza, Benjamin Aleberteau, Hugo TraversDirectrice de production : Marie DelvalléeChargé de production éditoriale : Clément ChauletChargée de production : Fiona GouzeAssistante de production : Amandine BarAdministratrice de production : Sterenn HallCadreurs : Vanon Borget, Noé PériquetMonteurs : Vanon Borget, Alexandre Soubeyrand Motion designer : Léo TixÉtalonnage : Vanon BorgetMixage : Antoine CaracciMiniature : Doryan HinckerDirectrice commerciale : Chloé LeveugleChargée de partenariats : Zélia CastangVoix partenariat : Garance ChalvinConcepteur-rédacteur partenariat : Dorian CocatrixRemerciements : Elisabeth Tabary, Paul Le Nail, Éric Daniel-Lacombe, Laurent Huger, Valen CluzelCrédits musiques : Crédits images : Abaca, Agence EDL - Eric Daniel-Lacombe, © BRGM/ LESELAM 2021, @CyrilD44, © Fédération Nationale de Protection Civile, Golf de la Presqu'Île, Pierre Gandiaga (@ kepa_gandiag), Île de Noirmoutier Tourisme / PhonicLips, INA, Météo-France, Pr Pascal SAFFACHE Yoann PELIS, Institut d'Urbanisme d'Architecture et d'Aménagement des Antilles, Timo Lang, Reuters, TV VENDÉE, Conseil département de la Vendée. HDMEDIA / UNFOLD 2026 Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.
Want to reach out to us? Want to leave a comment or review? Want to give us a suggestion or berate Anthony? Send us a text by clicking this link!100,000 subscribers is supposed to feel like a finish line. For us, it feels like turning on the camera, realizing the lighting is still bad, and choosing to fix it live anyway. This milestone stream is a behind-the-scenes look at how our Catholic podcast and livestream actually runs: the studio build, the sound and echo battles, why backlight matters, and how a “nice background” can still make you disappear on camera if you don't shape the scene.We also get real about the creator economy. Subscriber counts don't mean what they used to, the YouTube algorithm can reward clips while long-form shows stay steady, and the X algorithm can hijack your feed if you pause on the wrong video for eight seconds. That pressure fuels the negativity cycle, especially in Catholic media, and we're tired of it. We talk about why keeping day jobs gives us freedom to experiment, joke around, and focus on content that actually lasts.So where do we go next? We want to keep at least one weekly deep-dive anchored in Catholic history: papal encyclicals, older councils like Trent, and even “faith in film” style episodes that start with real events like the French Revolution and the War in the Vendée. We share sponsor updates, a listener success story, and why we care more about real community than raw views.If you like candid creator talk mixed with Catholic commentary and history, subscribe, share this with a friend, and leave a review so more people can find the show.Support the showGet 10% off an amazing Black Monk Rosary by going to https://www.blackmonkrosaries.com/?ref=AVOIDINGBABYLON and using code AVOIDINGBABYLON at checkout!Check out our sponsor, Nic Nac, at www.nicnac.com and use code "AB25%" for 25% off of your first order!Please subscribe! https://www.youtube.com/channel/UCKsxnv80ByFV4OGvt_kImjQ?sub_confirmation=1https://www.avoidingbabylon.comMerchandise: https://avoiding-babylon-shop.fourthwall.comLocals Community: https://avoidingbabylon.locals.comFull Premium/Locals Shows on Audio Podcast: https://www.buzzsprout.com/1987412/subscribeRSS Feed for Podcast Apps: https://feeds.buzzsprout.com/1987412.rss
durée : 00:31:19 - Les pieds sur terre - par : Sonia Kronlund - En octobre 2024, à Lairoux, petit village aux 600 habitants, Alain et Hugo découvrent un tag homophobe sur leur porte d'entrée. Depuis, ce couple d'enseignants vit au rythme des courriers anonymes et des menaces de mort. Une affaire médiatisée qui, selon le maire, écorne l'image du village. - réalisation : Valentin Rémy, Adèle Tocquet, Carole Bailly, Alexandra Longuet Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France
Mi a hasonlóság az ókori mágia és a mai, liftajtóra ragasztott, A4-es lapra írt üzenetek között? Mi a közös egy leszerelő római légiós és egy mai ember életközepi dilemmáiban? Ebben az epizódban erről is beszélgetünk, hiszen a műsor vendége ezúttal olyasvalaki, aki otthonosan mozog a római kori átoktáblák, az egyiptomi hieroglifák világában és korunk életvezetési kérdéseiben is. Vagyis ebben az epizódban Lassányi Gáborral beszélgetek ókori perátkokról, egyiptomi varázsreceptekről, a fekete fáraók földjéről, az ókori Núbiáról és a mai Szudánról, mítoszokról, mesékről, istenekről és emberekről, az életről meg mindenről.
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