Podcasts about Dimension

Video Version: https://youtu.be/2qhS7aFaKEI Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #SummerGameFest #KH4 #ocarinaoftime

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

Les multiples conférences du début du mois de juin ont été l'occasion de voir une avalanche de jeux annoncés sur Switch 2Cette vidéo récapitule les annonces les plus marquantes et se conclue par une grosse analyse sur la stratégie de Nintendo0:00 Introduction0:49 Les annonces tiers majeurs DAY ONE sur Switch 29:23 Les portages tiers annoncés11:31 Et Nintendo dans tout ça ?13:26 Analyse : Tout a changé pour la Switch 2 ?

Was passiert, wenn ein Mensch der reinen Heiligkeit Gottes begegnet? In diesem Video tauchen wir ein in eine der kraftvollsten Visionen der Bibel – die Begegnung des Propheten Jesaja mit den Seraphim, den Dienern der Heiligkeit Gottes. Diese Szene ist mehr als eine Vision. Sie ist ein Schlüssel zum Verständnis von: - wahrer geistlicher Transformation - der Realität von Gottes Gegenwart - und dem Weg von Erkenntnis → Reinigung → Berufung. Du wirst entdecken, warum selbst himmlische Wesen ihr Angesicht vor Gott verhüllen, warum echte Selbsterkenntnis erst im Licht Gottes entsteht und wie sich diese uralte Begegnung direkt auf dein Leben heute auswirkt. Im Zentrum steht dabei nicht Religion – sondern Begegnung, nicht Leistung – sondern Verwandlung. Durch Jesus Christus wird das, was Jesaja nur punktuell erlebt hat, zu einer zugänglichen Realität: Ein Leben in der Gegenwart Gottes – geprägt durch den Heiligen Geist. ✨ Für Christen, die tiefer gehen wollen. ✨ Für Suchende, die spüren, dass Spiritualität mehr ist als Energie und Konzepte. ✨ Für Menschen, die bereit sind, sich wirklich verändern zu lassen. Am Ende erwartet dich ein Gebet, das dich bewusst in diese Dimension hineinführt. Das gesamte Seminar über Engel findest du hier: https://www.torezumhimmel.de/engel.html .

Verantwortung zu übernehmen – das bedeutet auch, die eigene Geschichte anzuschauen, auch die weniger rühmlichen Teile. Das DLR blickt auf eine mehr als hundertjährige Vergangenheit zurück und stellt sich auch der Geschichte seiner Vorgängerorganisationen von 1907 bis 1945. Über die gewaltige Dimension dieser Aufarbeitung und die bisherigen Ergebnisse sprechen wir mit Jessika Wichner, Leiterin des Zentralen Archivs des DLR und Helmuth Trischler, Professor für Neuere und Neueste Geschichte sowie Technikgeschichte an der LMU München.

Video Version: https://youtu.be/2qhS7aFaKEI Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #SummerGameFest #KH4 #ocarinaoftime

Führung ist kein statischer Zustand, sondern ein dynamischer Prozess der Weiterentwicklung – für dich selbst, dein Team und deine Organisation. In dieser Folge von Next Level Leadership spricht Julia Peters mit Dr. Peter Hardt, einem Experten für Führung und Veränderung, der einen ungewöhnlichen Werdegang vorweisen kann: vom Bankkaufmann über Theologie und Unternehmensberatung bis hin zur Selbstständigkeit als Senior Berater, Coach und Trainer für obere Führungskräfte. Im Gespräch wird klar: Echte Führung entsteht dort, wo Menschlichkeit, Klarheit und die Bereitschaft zur Veränderung aufeinandertreffen. Peter Hardt betont, dass Führungskräfte heute mehr denn je Komplexität meistern, Partizipation leben und gleichzeitig klare Entscheidungen treffen müssen – ohne dabei die menschliche Dimension aus den Augen zu verlieren. Drei zentrale Erkenntnisse prägen diese Folge: 1. Führung ist kein Zertifikat, sondern Haltung – Es geht nicht darum, perfekt zu sein, sondern reflektiert, authentisch und lernbereit zu bleiben. 2. Veränderung ist der rote Faden – Ob im Beruf oder privat: Wer Führung übernimmt, muss sich selbst und seine Umgebung ständig weiterentwickeln. 3. Next Level beginnt im Basic Level – Bevor man nach der nächsten Stufe strebt, sollte man die Grundlagen der Führung beherrschen – wie Delegation, Kommunikation und Selbstreflexion. Das Gespräch zeigt auch, dass Führung dann besonders gut gelingt, wenn sie menschenzentriert, mutig und gleichzeitig bescheiden ist. Und nochmal 3 Takeaways für dein Next Level Führung: 1. Führung ist kein Soloakt – Partizipation schafft bessere Entscheidungen. Führungskräfte, die nur auf sich selbst hören, verpassen Potenzial. Jack Welch bringt es auf den Punkt: „Ein diverses Unternehmen sieht mehr Wirklichkeit.“ Nutze die Vielfalt deines Teams, um komplexe Herausforderungen zu meistern – aber sei dir bewusst: Partizipation ist anstrengend. Sie erfordert die Fähigkeit, unterschiedliche Perspektiven zu integrieren und dann klare Entscheidungen zu treffen. 2. Next Level fängt im Basic Level an – Meistere die Grundlagen Bevor du nach der nächsten Stufe strebst, prüfe: Beherrschst du die Basics? Delegation, klare Kommunikation und Selbstreflexion sind keine Selbstverständlichkeiten – selbst in höchsten Führungsetagen. Peter Hardts Erfahrung: „Ich arbeite gar nicht am Next Level, sondern am Basic Level.“ Investiere Zeit darin, deine Führungsgrundlagen zu festigen, bevor du dich auf neue Herausforderungen stürzt. 3. Führung braucht Menschlichkeit – Klarheit und Wärme sind kein Widerspruch Autoritäre Führung mag kurzfristig Klarheit bieten, doch auf Dauer zerstört sie Vertrauen und Kreativität. Das Modell Radical Candor zeigt: Echte Führung vereint Klarheit mit sozialer Wärme. Peters Rat: „Führung hat für mich viel mit Menschlichkeit zu tun.“ Sei konsequent in deinen Entscheidungen, aber nie gleichgültig gegenüber den Menschen, die sie umsetzen. Zitate zum Mitnehmen von Dr. Peter Hardt: „Führung und Veränderung sind mein roter Faden – ich habe mich selbst immer wieder verändert und Organisationen mitgestaltet.“ (Peter über seinen Werdegang und die Dynamik von Führung) „Wenn nur der Chef denkt, kommt weniger Intelligentes raus, als wenn eine ganze Organisation denkt.“ (Warum Partizipation und Vielfalt bessere Entscheidungen ermöglichen) „Es geht immer weiter. Dein persönliches Next Level kann auch sein, dass du dir die Eisenhower-Matrix nochmal reinholst und wirklich anwendest.“ (Next Level als kontinuierliche Entwicklung, nicht als feste Stufe)

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

Begleite Jens Lehrich (Journalist, Coach & Autor) in die tiefgehende Welt seines Lieblingssongs „Ich würde es wieder tun“ von Udo Jürgens. Was macht diesen Song zu seinem lebenslangen Begleiter und warum berührt ihn dieser Song bis heute so intensiv? Mit etwa elf Jahren hörte Jens das Lied zum ersten Mal. Schon als junger Mensch stellte er sich große Fragen wie „Wer bin ich?“ oder „Was ist Sprache?“. In diesen Momenten wurde der Song für ihn mehr als nur Musik. Er bekam eine philosophische Dimension, die ihn bis heute begleitet. Besonders fasziniert ihn die Tiefe, die in diesem Lied steckt. In dieser Episode von „Mein Lieblingssong“ spricht Jens über Schöpferpotenzial, Resonanzfelder und Selbstermächtigung. Er teilt Einblicke in ein persönliches Schicksal, das seinen Lebensweg nachhaltig verändert hat, und zeigt, wie prägend Musik in verschiedenen Lebensphasen sein kann. Diese Folge erzählt davon, wie hilfreich Musik im Leben sein kann, als Spiegel, als Impulsgeber und als emotionale Stütze. Erfahre, warum „Ich würde es wieder tun“ für Jens Lehrich weit mehr ist als nur ein Lieblingssong, und lass dich von den Gedanken und Gefühlen inspirieren, die dieses Lied in sich trägt. Höre deinen Lieblings-Podcast und deine Lieblingsmusik doch einfach auf einem sonoro Musiksystem.Das sonoro MEISTERSTÜCK und viele andere Produkte aus der sonoro Klangschmiede findet ihr hier: sonoro.comKonzerte, Lesungen, Theater, Comedy, Kunst und vieles mehr gibt es im beliebten Hinterhofsalon im Herzen Kölns. Alle aktuellen Termine im Hinterhofsalon: TerminkalenderHinterlasse gerne eine Bewertung und abonniere unseren Podcast bei deinem Streamingportal der Wahl und verpasse keine Folge. Und wenn du alle Neuigkeiten zum Podcast „Mein Lieblingssong“ mitbekommen möchtest, dann melde dich hier für unseren wöchentlichen Newsletter an: Kostenloser NewsletterHier findest du uns auf Facebook, Instagram oder YouTube.Du möchtest selbst mal Gast in unserem Podcast sein und von deinem Lieblingssong erzählen? Dann schreibe uns einfach eine E-Mail an: post/at/meinlieblingssong.com und wir melden uns bei dir. Geschichten aus den 70ern: Mein Lieblingssong - Album 1 als Hörbuchversion.Gibt es überall, wo es gute Hörbücher gibt.Geschichten aus den 80ern: Mein Lieblingssong - Album 2 als Hörbuchversion.Gibt es überall, wo es gute Hörbücher gibt.Habt ihr Lust auf eine „Mein Lieblingssong“-Tasse oder T-Shirt? Dann schaut mal in unserem Shop vorbei: Hier klicken!Folge unserem kostenlosen Podcast dort, wo Du uns hörst - abonniere uns!Teile auch gerne deine Lieblingsfolge in den sozialen Medien.Du möchtest gerne bei uns zu Gast zu sein?Schreibe an post@meinlieblingssong.com Hosted on Acast. See acast.com/privacy for more information.

In dieser Best Of Folge nehmen wir euch mit durch einige der stärksten Ausschnitte der letzten 40 Folgen: Es geht um toxische Beziehungen, Mental Health am Arbeitsplatz, ADHS, Autismus im Erwachsenenalter, Macht und Missbrauch, Body Positivity, Konsum und Sucht, Emotionsregulation und schwierige Gespräche. Mit dabei: ehrliche Stimmen aus der Community, fachlich kompetente Einordnungen - besondere Gästemomente und Gespräche, die zeigen, warum psychische Gesundheit eine gesellschaftliche Dimension hat und uns alle angeht. Der Rückblick macht uns stolz und wir möchten vor allem euch Danke sagen, fürs Zuhören, Mitrden, Teilen, Fragenstellen und Dabeisein. Auch wenn wir uns mit dieser Best Of Folge leider von Katrin Terwiel als Co-Host verabschieden. Katrin geht, aber DST bleibt! Freut euch auf die neue Staffel. Wir versprechen, es bleibt deep!

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

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

Episode 174 is here! And it's June again, which means pride time! And we start with There's No Freaking Way I'll Be Your Lover! Unless... And that's a mouthful, so most people call it Watanare. Anyway, it follows failgirl Renako as she somehow catches the attention of multiple girls. And it's mostly fun. Check it out on YouTube! Content Warning: this anime has a scene depicting an attempted sexual assault. This is discussed in the podcast. "Dimension" by Creo and "Devotion" by Jim Hall are licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Was hat eine Versicherung mit einem Kinofilm, einer Late-Night-Show und gemeinsamem Weihnachtssingen zu tun? In der neuen Folge unseres Podcasts „Auf einen Tee“ begrüßt Andrea Montua den Leiter Politik und Unternehmenskommunikation der Zurich Gruppe Deutschland, Bernd Engelien, der zu diesen Themen einiges erzählen kann. Darf die Unternehmenskommunikation auch in ernsten Zeiten Entertainment bieten? Ja, bitte, meint Bernd Engelien, der mit seinem Team gerade beim Thema Strategie auch auf Unterhaltung setzt, um die mehr als 5.300 Mitarbeitenden der Gruppe zu erreichen. Seine Art der Kommunikation hat viel mit Authentizität zu tun - wer Vertrauen verkauft, braucht intern Menschen, die vertrauen. Weitere spannende Themen: Kommunikation in ihrer politischen Dimension, Kultur als Fundament der Strategie, KI als neues „Betriebssystem“ der Branche Empathie als Versprechen – intern und extern. Für Bernd Engelien ist die Verbindung von Kommunikation und Public Affairs heute essenziell, da nahezu jedes kommunikative Thema eine politische Dimension besitzt und Unternehmen durch diese Verzahnung ihre gesellschaftliche Rolle aktiv wahrnehmen und mitgestalten müssen. Wie seht Ihr das?

Fasten ist nun wirklich nicht das, womit man Pluspunkte sammelt, oder? Ich bin aber überzeugt davon, dass das Fasten eine geistliche Wunderwaffe ist - und gerade deswegen so schlecht wegkommt. Was einen großen geistlichen Impact haben kann, muss manchmal errungen werden - so ist es auch mit dem Fasten. In dieser Folge nehme ich dich mit hinein in die geistliche Dimension des Fastens - aber es wird auch ganz praktisch und (hoffentlich) umsetzbar.

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

REVELATION EP 2 SEVEN CHURCHES PROPHETIC DIMENSIONS Two very well-known and very misunderstood chapters of the Bible in Revelation are chapters two and three of Revelation - The letters to the seven churches.  These letters are addressed to seven historical congregations in Asia Minor, and they reveal consequential spiritual conditions of rise and decline that appear throughout the Church in every age. Each letter follows a similar pattern: Christ identifies Himself, commends what is faithful, exposes what requires repentance, and promises a reward to those who overcome. Together they present a comprehensive picture of discipleship, warnings correction, and hope.   Taken together, the seven letters reveal Christ as the Lord of the Church, walking among His people, intimately aware of their strengths, failures, struggles, and victories. They demonstrate that faithfulness is measured not merely by outward success but by love, holiness, perseverance, truth, and dependence upon God. The letters also show that divine judgment begins with God's own household, yet His purpose is restorative, calling believers to spiritual renewal in Christ and renewed communion with him and with one another. The futurist interpretation of Revelation is strengthened in these letters as Ephesus and Pergamos and Sardis and Thyatira and Philadelphia are all told by Jesus to be prepared for the coming of the Lord ‘behold I come' in various tones, and Laodicea is told that he is actually standing at the door. The Holy Spirit is currently working to reverse the tragic consequence of many people's abandonment of faith that has occurred over the years. The repeated exhortation, “He who has an ear, let him hear what the Spirit says to the churches,” transforms these letters from ancient correspondence into an ongoing universal call to all. Their central message is that Christ seeks a purified, faithful, overcoming people who will participate in the final triumph portrayed throughout the remainder of Revelation. There is a fourfold multilayer architecture of how these letters function simultaneously as four distinct dimensions happening here in the one passage of text. 1. They are first century letters to congregations, from Jesus through John. 2. They are a blueprint of the entire church age. 3. They are a prophetic warning to the Church today about the End Times and the Coming of The Lord, 4. They are a spiritual map of the healing and salvation of the human soul.  This fourth dimension reframes how we personally interact with the letters as this is the inward spiritual application and the mirror of our soul's journey. In this dimension there is an inward ongoing unveiling of Jesus and the work of the Holy Spirit in us. These seven churches represent seven distinct conditions of the human soul in its journey toward full union with God. Church Historical Period (approximate) Ephesus Apostolic Church (30–100 + AD) Discernment then loses first love Smyrna Persecuted Church (100+ –303) Trials10 years/Diocletian/worn down Pergamos Imperial Church (313–590 Marriage of church and state (Constantine) Thyatira Medieval Church (590–1517 Pagan superstition/Jezebel) Sardis Reformation Church (1517–1900 faith, division, deadness) Philadelphia Holy Spirit Church (1900 to now) mission faith power love holiness  Laodicia  End-time Church (1900 to now) money, politics, power, celebrity, image  The church in Ephesus was praised and warned Revelation 2:1 I know your works, your labor, your patience … and you have persevered and have patience, and have laboured and not become weary. Nevertheless, I have this against you, that you have left your first love.  The next church, Smyrna did become weary through persecution. John wrote vs.8 the devil will throw some of you into prison, that you may be tested and have tribulation ten days. Be faithful until death, and I will give you the crown of life. Exhaustion of persecution in Smyrna inevitably led to the church in Pergamos (marriage) to accept the protection of the Roman Empie through Constantine and to accept the compromise of the marriage of state and church. This led to the superstitious pagan church of Thyatira being rebuked for allowing the immoral and idolatrous influence of Jezebel. Then followed the church of Sardis which represents the historic stage of reformation of faith under Luther which decayed into dead denominationalism. John wrote “I know your works, that you have a name that you are alive, but you are dead. Be watchful, and strengthen the things which remain, that are ready to die,  Then came the churches of Philadelphia and Laodicea. These churches both represent the experience of Holy Spirit revival life coming to the church worldwide. Philadelphia type churches and Laodicea type churches both emerged in the 1900 Pentecost Holy Spirit revival, and many people of the many thousands of dying denominations were touched by it. Jesus said at Pentecost ‘you will receive power when the Holy Spirit comes upon you and you will become witnesses of me'. The Holy Spirit is the Spirit of God' s love and holiness and power and truth and of Gospel mission and witness. Some church movements from the 1900 revival became holiness churches and others became Holy Spirit power churches. Others became doctrinal truth teaching churches and others missionary movements. And there always was and still is the possible drift from Philadelphia love and faith and holiness to Laodicea worldly power and image and complacency. But church history is not destined for abandonment, xand neither is the human soul. We can awaken and recognise any hypocrisy and that awakening sparks the Philadelphia stage of transformation. The Philadelphia type churches receive encouragement, and though weak in worldly strength, if they remained faithful to Christ, they are promised an open door that no one can shut.  The Laodicea type churches get rebuked for lukewarm self-sufficiency (the word Laodicea means ‘the opinions of the people). Though they were materially prosperous, Jesus called them spiritually poor and blind. Yet even here Jesus extends a gracious invitation to renewed fellowship: “Behold, I stand at the door and knock.” Note –  Philadelphia is the church of brotherly love - the name comes from phileo meaning affection or love – and delfos - brother, so it means brotherly love and this represents a historical movement experiencing genuine spiritual life of an open door of spiritual power - an open door that no human institution can shut. Laodicea has a closed door locked on the inside that Jesus stands at and knocks to be let in But that brotherly love to one another and to God and the spirituality of grace and Holy Spirit freedom and renewal will operate differently to a religiously structured church like the church of Laodicea - the lukewarm church. And if the spirit of a Philadelphia church does not become compromised, they keep an open door that no one can shut and they receive no rebuke from Jesus. That brings us back to all of us holding a dynamic history textbook, a ticking prophetic clock and a mirror of our transforming soul all at once.  And the number of seven churches isn't an accident. It represents end time completion. These letters represent an exhaustive range of spiritual conditions found in humanity. everyone has a bit of all seven churches within them - we have a bit of Ephesus a bit of Sardis a bit of Laodicea somewhere within our own soul - this aligns with the apostle Paul's teaching in 1Corinthians 2:11 says that only our spirit can discern what we have in our soul, and he later says examine yourselves whether you are in the faith 2Corinthians 13:5 These seven conditions of the soul are deeply connected to those seven areas of historic church experience and spirituality, and they don't just exist in a vacuum. One spiritual state of a church directly triggered the vulnerabilities of the next stage in a remarkable progression and it does so also in our souls.  Philadelphia can reflect or mirror a person's soul or it can reflect an historical movement or a current day church that experiences the genuine spiritual life of an open door of God's life and love and power - an open door that no human institution can shut. Laodicea can reflect the soul of worldly religious mindsets and structures of opiniated complacency and self-sufficiency. The Church of Philadelphia can stay pure by the grace of God at a grassroots level of relational integrity while the Laodicean church may resist that simplicity and freedom. The wealth and image of the Laodicean church that thinks they're rich and need nothing receives a divine diagnosis that is devastating. Jesus says ‘you are wretched and poor and blind and naked - that's a harsh reality check.  So a question arises for me right here. If one stage naturally triggers the next - as we saw in the exhaustion of persecution in Smyrna leading to seeking relief in the worldly power in Pergamos which led to the superstitious pagan church of Thyatira. Then followed the faith reformation, then the dead religion of Sardis. Then the divergence of Philadelphia and inevitably the worldly power of the opiniated Laodicea.  Laodicea looms as an historical dead-end doom loop. And is the human soul also doomed to a dead-end doom loop? Where do we get off?  The answer is we get to choose where we stay on the map and it is unequivocally clear the antidote to the doom loop is to deliberately anchor ourself in the Philadelphia state of life because the text of the Scripture is entirely intentional here. The logos design in this text wants us to feel for our own souls the weight of that possible downward spiritual spiral we saw in the letters to the churches because we are accountable for the state of our own souls. Only the Philadelphia life brings faith and hope and love and freedom. A person can be living a Philadelphia type life in any kind of church if they know how and the Bible tells us how. and you stay free! And the Bible tells us how. There are people attending a Laodicea type church that are living in a Philadelphia type church life in their soul and there are people going to a Philadelphia type church and living a Laodicea soul life. Only God knows the hearts, and we cannot judge peoples' hearts – we can simply observe church structure and test the spirit of the church. 2Timothy 2:24 pursue righteousness, faith, love, peace with those who call on the Lord out of a pure heart. But avoid foolish and ignorant disputes, knowing that they generate strife. And a servant of the Lord must not quarrel but be gentle to all, able to teach, patient, in humility correcting those who are in opposition, if God perhaps will grant them repentance, so that they may know the truth, and that they may come to their senses and escape the snare of the devil, having been taken captive by him to do his will. The entire purpose of Revelation unveiling these stages is to expose the recurring cycles whether you are analysing 2000 years of human history or just the last 10 years of your own personal spiritual development. Seeing the pattern and living the spiritual process of the salvation of the soul that marks the church of Philadelphia is the Scriptural way to break the cycle of perishing and completing the cycle of being saved and healed and how to break every chain of bondage. We're living in days when because of the cultural immorality and chaos and confusion and betrayal that's going on in the world people can feel they're in bondage to certain kinds of ideologies or feel if they don't believe what the group has as a certain kind of new age or some kind of way of thinking - if they don't join with them politically in their opinions they'll be left out. So they've become joined  to it and that can become a bondage to something that's got nothing to do with what God saying to the world. But we focus on what God's doing and what he's saying. The end part of that little prayer of presence I presented last week is, Lord I thank you that you own this moment and that in this moment you are restoring and reordering all things out there in the world. I might be thinking in my mind anxiously about the chaos that's happening out there but my prayer is Lord this moment that you own is bringing your never-ending activity of reordering into all of that chaos and that brings me great comfort. The last line is, thank you Lord for including me in your reordering in the spirit - no matter what's going on and what other people are doing and no matter what kind of challenge that's making me feel my own emotional reactions and confusion I know that God is at work saying stay at peace, I am reordering everything. Watch and you will see the result of how I am bringing things to the surface and working these things all together for good to you because you're wanting my will in your life.  It does come down to a very simple formula of rather than being self-conscious about what's going wrong, being God conscious of what he is now making right. That is his agenda no matter what is happening on the outside or whatever is being shouted from the rooftops and from pulpits, God is speaking to you on the inside and promising you he is reordering your life to be walking with him in his perfect will.  And we will go through trials - the fire will burn - no pain no gain. The Clippers will be out to chop off the dead branches and they'll get thrown into the fire, and the fire can burn - that's not hell you going to - that's the here and now burning off of the dead wood - the loss of what is not of God. But as that outward part starts to get burned off and perish the inward is being renewed day by day. Amen. Pul OSullivan – pauloss@me.com

Physikprofessor Gerd Ganteför setzt seine Vorlesung über das Wesen der Zeit und ihre sonderbaren Eigenschaften fort. In diesem zweiten Teil geht es um die Verlangsamung der Zeit in Gravitationsfeldern und bei hoher Geschwindigkeit, wie es die Relativitätstheorie beschreibt. Aus der Relativitätstheorie folgt auch, dass die Zeit die vierte Komponente der Raumzeit ist. Sie ist mit dem Raum zusammen im Urknall entstanden. Es gibt einige Experimente wie das Doppelspalt-Experiment und die Quantenteleportation, die darauf hinweisen, dass unsere Wirklichkeit in eine höhere Ebene der Wirklichkeit eingebettet ist, die zeitlos ist.

Die Frage, wo Wissen und Expertise in einer Gesellschaft liegen und wie wir mit der daraus entspringenden Komplexität umgehen können ist einer der wesentlichen Themen meines neuen Buches Hexenmeister oder Zauberlehrling? Die Wissensgesellschaft in der Krise. Lesen Sie dort mehr über die tieferliegenden Prinzipien und Folgen. Auch die Tatsache, dass es hier wiederkehrende Phänomene gibt, derer man sich bewusst sein sollte. Nun kommt eine neue Dimension dieses Themas auf uns zu — Software. Und das ist das konkrete Thema der heutigen Episode. Achtung: nicht abschalten, nur weil Sie kein Softwareentwickler sind: dieses Thema und damit die Episode ist von sehr prinzipieller Bedeutung. Software ist das Nervensystem unserer Gesellschaft. Sie bestimmt in immer größerem Maße, wie unsere Welt funktioniert, oder fallweise auch nicht funktioniert, sie eröffnet neue Möglichkeiten aber auch erhebliche Risiken. Die Frage, wie Software mit unserer Welt interagiert, ist daher kein Expertenproblem (alleine), sondern eines, das alle Menschen beschäftigen sollte. Die aktuellen Entwicklungen der künstlichen Intelligenz scheinen Software auf systemischer Ebene sehr grundlegend zu verändern. Auf eine Weise, die folglich allen Menschen in einer modernen Gesellschaft bewusst sein sollte. Diese Episode soll wieder zum Nachdenken und Widerspruch anregen — schreiben Sie mir Ihre Ideen! Andere Episoden Episode 150: Wie kommt Neues in die Welt? Episode 148: Künstliche Vernunft? Ein Gespräch mit Jan Juhani Steinmann Episode 147: Digitale Kolonie oder Souveränität? Ein Gespräch mit Wilfried Jäger und Kevin Mallinger Episode 139: Komfortable Disruption Episode 135: Friedrich Hayek und die Beschränktheit der menschlichen Vernunft. Ein Gespräch mit Nickolas Emrich Episode 134: Das Werdende, das ewig wirkt und lebt? Transzendent oder Transient Episode 132: Fragen an die künstliche Intelligenz — eine konstruktive Irritation Episode 129: Rules, A Conversation with Prof. Lorraine Daston Episode 123: Die Natur kennt feine Grade, Ein Gespräch mit Prof. Frank Zachos Episode 122: Komplexitätsillusion oder Heuristik, ein Gespräch mit Gerd Gigerenzer Episode 121: Künstliche Unintelligenz Episode 109: Was ist Komplexität? Ein Gespräch mit Dr. Marco Wehr Episode 104: Aus Quantität wird Qualität Episode 69: Complexity in Software Episode 40: Software Nachhaltigkeit, ein Gespräch mit Philipp Reisinger Episode 31: Software in der modernen Gesellschaft – Gespräch mit Tom Konrad

Artist Track Album Year Time DarWin The Sun (feat. Simon Phillips, Mohini Dey, Greg Howe & Julian Pollack) Five Steps On The Sun 2024 5:33 Ellen Alaverdyan / Jaminai Ellen’s Groove Take Off 2026 3:21 Ellen Alaverdyan / Jaminai Whispering Of Starlight Take Off 2026 4:50 Simon Phillips / Protocol Event Horizon Protocol 6 2026 14:00 SLAK From the North Country SLAK 2026 5:43 SLAK Soft Departure SLAK 2026 6:08 T-Square First Flew – The Day I Flew in the Sky for the First Time Voyage 2026 5:58 T-Square Azzurro Voyage 2026 5:06 Prominence Nocturne Gale Puronoku 2026 5:04 Prominence Nocturne Like a Bird Puronoku 2026 4:43 Casiopea The Night in Blue Miracle Night Live 2026 4:47 Casiopea Caravel Miracle Night Live 2026 4:42 Casiopea Take Me Miracle Night Live 2026 5:37 Pryme Tyme An Echo Pryme Tyme 2002 6:27 Pryme Tyme Monoliths Pryme Tyme 2002 6:09 Mitsuru Sutoh The Murder at the Carnival Favor of My Friends 1997 15:01 Mitsuru Sutoh The Scramble Waking Up Tour 2012 – Live At Blues Alley 2012 10:45 Dimension Impressions from the Outside [Live] 13th Dimension – Live Millenium 2000 5:57 Dimension One and Three [Live] 13th Dimension – Live Millenium 2000 6:22 Dimension Are You Gonna Win? [Live] 13th Dimension – Live Millenium 2000 8:32 Dave Weckl and Jay Oliver Apocalypso Convergence 2014 7:16 Dave Weckl and Jay Oliver Road To Connemara Convergence 2014 7:53 Cosmics Big Bang The Cosmic Year 2008 8:02 Cosmics Emperors and Gods The Cosmic Year 2008 5:45 Liquid Tension Experiment Freedom Of Speech Liquid Tension Experiment 1998 9:15 Liquid Tension Experiment Another Dimension Liquid Tension Experiment 2 1999 9:47 Liquid Tension Experiment State Of Grace Liquid Tension Experiment 1998 4:58 T-Square Homeward Voyage Voyage 2026 5:18

Video Version: https://youtu.be/IWpC3Q8bAtc Gamer Premonitions: Summer Game Fest 2026 - https://youtu.be/qtiCd4qm2RU Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #Wolverine #Rayman #GodofWarLaufey

The Noise Interview with Master T! We discuss The National Music Centre's Black Music Month event. It's a FREE celebration of Black music, culture, and creativity on Saturday, June 6 at StudioBell, curated by MuchMusic legend Master T himself, and hosted by NMC's Rebecca Bukasa.Playlist: Shabaka - Light The WayJairus Sharif - Looking Down (We Be)Cassie Watson Francillon - Ain't NiceAlfa Mist - 9 MonthsGirma Woldemichael - Bemistir Kiberigneaja monet - working class musiciansWill Haze - 2 Minute Drill (Gretzky)Digable Planets - Jettin'Kindé - WTF (What You Take Me For) (feat. Bkay Won)MeShell Ndegeocello - The 5th Dimension (feat. The HawtPlates)Laraaji - All of a SuddenSammy B The Micafella - Abrabo Ye Ena (Radio Edit)BLARF - Mercury Dripping Down My Spine

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

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This week, we're talking to the gang of people who are just starting their Dungeon Master journey. Maybe you just heard about D&D or you watched Critical Role or Dimension 20 and you thought, I want to try that! And somebody's gotta run the game, right? Well our entire podcast is about making it easier to run these games, but today it's all about where to start, so let's do just that and get started! Music by Epidemic Sound Use our Link to check out Epidemic Sound for all your music and sound effect needs. Gang, this has changed the game for us!  Epidemic Sound Link And remember to give us 5 Stars ⭐️⭐️⭐️⭐️⭐️ AND a positive review! This helps us so much, so tell your friends!  We have VIDEO now! Subscribe to our YouTube to see the podcast! And other content! --------------------------- And CLICK HERE to find links to our Patreon, Discord, YouTube, Twitch, TikTok, Instagram, and more! Email us at Soyouwannabeadm@gmail.com WE HAVE MERCH! Click the link above!

Led by Jerry Sargeant. Jerry is a world-renowned healer, speaker, and bestselling author. His mission? To awaken your true power and elevate humanity through high-frequency healing. Jerry has helped thousands across 75+ countries achieve rapid shifts in mind, body, and soul. Now, it's your turn. Whether you want to heal yourself, others, or expand your consciousness, Star Magic gives you the tools to unlock limitless potential. Through hands-on and distance healing, DNA activation, and third-eye awakening, Jerry's training programs are designed for those ready to step into their authentic power and make a real impact. Are you ready to rise? The Star Magic Frequency is calling. Your journey starts now. If you're feeling called to ground your awareness, build real discernment, and embody leadership rather than outsource it, these pathways may support you: Facilitator Training Level 1: Learn the most powerful energy healing system on the planet. https://facilitatortrainingone.starmagichealing.org Infinity Membership: Daily practices, meditations, and stabilisation tools designed to bring higher awareness into the body, so you live a life of abundance and peace. https://infinitymembership.starmagichealing.org Remember: Awareness reveals the truth. Embodiment is what allows you to become it.

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

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

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

Podlord Song: https://www.youtube.com/watch?v=aqC6QH9aMSQ Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #YujiNaka #DQ12 #UE6

In dieser Folge geht es um Lügen, pathologisches Lügen und die Frage, welche psychische Funktion Unwahrheiten in Beziehungen haben können. Anhand zweier Fallgeschichten sprechen wir über Scham, Einsamkeit, narzisstische Kränkungen, Gaslighting und strukturelles Lügen. Außerdem geht es um die Entwicklung des Lügens bei Kindern und um die politische Dimension von Lügen und Propaganda. - Vertiefungsfolge "Lebenslügen": https://www.patreon.com/posts/159307983 Unser Hörbuch "Jetzt bin ich schon wie meine Eltern": https://www.patreon.com/collection/2029837 (Kollektion kaufen = Einmalkauf Hörbuch) Ausschnitt und Infos: https://www.patreon.com/posts/151955086?collection=2029837 Literaturempfehlung zur Folge: - Podcastfolge von Franca Cerutti & Christian Weiss: Pseudologia Phantastica https://open.spotify.com/episode/2OnqdBN8PiEOhRoeqbz625 - Bion, Wilfred R. (1970): „Lies and the Thinker“. In: Attention and Interpretation. London: Tavistock. - O'Shaughnessy, Edna (1990): „Can a Liar Be Psychoanalysed?“ In: International Journal of Psycho-Analysis, 71, S. 187–195. - Ebrecht-Laermann, Angelika (2017): „»Ich lüge nie.« – »Ich lüge immer.« Paradoxales Lügen als psychotische Perversion des Denkens und der Objektbeziehungen“. In: Jahrbuch der Psychoanalyse, 74, S. 131–152. - O'Shaughnessy, Edna (1998): Kann ein Lügner analysiert werden? Hg. von Claudia Frank und Heinz Weiß. Tübingen: edition diskord. Skript zur Folge: https://www.patreon.com/posts/159307194 Hilfsmöglichkeiten bei psychischen Krisen: https://www.stiftung-gesundheitswissen.de/gesundes-leben/psyche-wohlbefinden/hilfe-bei-psychischen-problemen-diese-stellen-koennen-sie-sich In psychischen Krisen können auch Hausarzt/ärztin, Psychiater/in und Psychotherapeut/innen Ansprechpartner sein. In Notfällen kann man sich zudem an eine psychiatrische Klinik wenden. Rätsel-des-Unbewussten-Abo als Geschenk: https://www.patreon.com/raetseldesubw/gift Beschreibung der Level-Inhalte: https://www.patreon.com/c/raetseldesubw/membership Wenn ihr alle bisher erschienenen handgebundenen Hefte bekommen wollt (12 Hefte) => Jahresabo auf dem Level "Liebhaber" - Vertiefungsfolge "Beendigung von Therapien" auf Patreon: https://www.patreon.com/posts/127931630 - Folge zu Glenn Gabbard und den "liebeskranken" Analytiker: https://www.patreon.com/posts/121877727?collection=148939 Skript zu dieser Folge: https://www.patreon.com/posts/145065724 Kontakt: lives@psy-cast.org Erziehungskonzepte psychoanalytisch betrachtet (5 Teile): https://www.patreon.com/collection/148943 Digitaler Lesekreis zum Thema "Wie die Digitalisierung unsere psychische Struktur verändert" (1. Folge ist frei zugänglich): https://www.patreon.com/posts/lesekreis-werner-94838102 - Bestellung unseres Buches über genialokal: https://www.genialokal.de/Produkt/Cecile-Loetz-Jakob-Mueller/Mein-groesstes-Raetsel-bin-ich-selbst_lid_50275662.html und überall, wo es Bücher gibt. Auch als Hörbuch! - Link zu unserer Website: www.psy-cast.de - **Wir freuen uns auch über eine Förderung unseres Projekts via Paypal**: https://www.paypal.com/donate/?hosted_button_id=VLYYKR3UXK4VE&source=url - Anmeldung zum Newsletter: https://dashboard.mailerlite.com/forms/394929/87999492964484369/share Musik: Evergreen, Kintsugi (licenced via premiumbeat.com)

This week the Buddies discuss amazing things they've seen in Nature, dying a lot in video games, how to handle a bully, and what it means to be loyal to a barber. Share with a friend! Contact us: Facebook Instagram Email Youtube Recommendations: Subnautica Below Zero (video game), Flock Around (video game), The Lost Metal (book by Brandon Sanderson), Dimension 20: Cloudward Ho! (Dropout show)

Check out our Patreon for a daily Lawrence Select™ Meme: https://www.patreon.com/insidegamesYTJoin the Inside Games notification Discord server for alerts when we publish new videos: http://discord.gg/ArvphbMPFJHosted by:Lawrence: http://twitch.tv/sirlarr | Bruce: http://twitch.tv/brucegreene Edited by: Shooklyn: https://linktr.ee/ShooklynSources --https://x.com/thewitcher/status/2059560461872373812?s=20https://www.cdprojekt.com/en/media/news/the-witcher-3-wild-hunt-songs-of-the-past-announced/https://www.ign.com/articles/the-witcher-3-wild-hunt-songs-of-the-past-expansion-dlc-announced-first-details-confirmedhttps://www.ign.com/articles/the-witcher-3-wild-hunt-songs-of-the-past-expansion-dlc-announced-first-details-confirmedhttps://quake.fandom.com/wiki/Dimension_of_the_Machinehttps://www.pcgamer.com/games/fps/doom-2s-first-true-expansion-since-the-90s-showcases-just-how-much-modding-has-improved-in-30-years/https://ageofempires.fandom.com/wiki/Age_of_Empires_II:_Definitive_Edition_-_The_Last_Chieftains

ZusammenfassungIn dieser Folge räumen Stefan Ponitz und Andreas Pfeifer mit einem weit verbreiteten Missverständnis auf: KI-Kompetenz bedeutet nicht, ein Tool bedienen zu können. Was wirklich zählt, ist die Fähigkeit, KI sinnvoll einzusetzen – und das beginnt lange vor dem ersten Prompt. Stefan erklärt anschaulich, warum KI heute eher als Infrastruktur zu verstehen ist – vergleichbar mit Strom aus der Steckdose – und was das für deine tägliche Arbeit bedeutet. Die beiden diskutieren, welche Kompetenzen im KI-Zeitalter wirklich gefragt sind: strategisches Denken, das Erkennen von Engpässen, Daten- und Entscheidungskompetenz sowie ein klarer ROI-Fokus. Andreas ergänzt eine oft übersehene Dimension: die Ethik- und Markenkompetenz – denn wer seine Authentizität an KI-Content verliert, verliert auch das Vertrauen seiner Zielgruppe. Am LinkedIn-Beispiel zeigen sie konkret, wo der sinnvolle Einsatz aufhört und wo er beginnt. Das Fazit ist klar: Es geht nicht um Mensch oder KI – sondern um Mensch mit KI. Picks - Tipps/Tricks & EmpfehlungenBing Webmaster Tools – AI Performance: Das (noch) unterschätzte Gegenstück zur Google Search Console zeigt in einer Beta-Funktion, wie oft und auf welchen Seiten eine Website vom Microsoft Copilot zitiert wurde – ein erster messbarer Ansatz für die Brand Mention Rate im GEO-Bereich. – https://bing.com/webmasters OpenRouter: Plattform, die Large Language Models verschiedenster Anbieter bündelt – von kommerziellen Modellen bis hin zu kostenlosen Open-Source-Modellen wie den Gemma-Modellen von Google. Ideal, um verschiedene Textmodelle direkt zu vergleichen und per Credit-System flexibel zu nutzen. – https://openrouter.com. Andreas PfeiferLinkedIn: https://www.linkedin.com/in/andreaspfeifer/ Homepage: https://www.die-heldenhelfer.com/ Norbert SchusterLinkedIn: https://www.linkedin.com/in/norbertschuster/ Homepage: https://www.strike2.de/ Stefan PonitzLinkedIn: https://www.linkedin.com/in/stefan-ponitz/ Homepage: https://www.fokus-ki.de

Welcome to episode 173! We finally talk about an anime that's been in the docket for years, Akiba Maid War! And what a strange and fun anime. Maids being gangs in the criminal underworld. And all the drama (plus blood and violence, as a warning) that comes with it. Check it out on Hidive! "Dimension" by Creo and "Devotion" by Jim Hall are licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)

Worthaus 13 – Tübingen: 10. Juni 2025 von Prof. Dr. Peter Arzt-Grabner.

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

A cartography vessel mapping a sector of space that's expected to contain nothing of interest encounters…something of interest. Genre: Science Fiction, Mystery   Excerpt:"This thing is changing by the hour. We may not have time for Vessel 86 to arrive before something even more intense happens." I walked on a few steps before I realized that my crew mate had stopped short. I turned and walked back to him. "More intense than that?" he asked, pointing out of the nearest porthole. I gaped. The fluttering spirals that we'd become accustomed to had shifted color, darkening in a pattern that was familiar to both of us. That pattern was a word. The word was, "Hello."   The Wheel of Fiction Turns. What did it land on this time?Each Season 9 story follows a theme chosen by the Wheel of Fiction. Thirteen spokes. Eight are the themes from previous seasons. One is "Turn Again." One is a wild card. And three are covered in question marks and will be revealed when the wheel lands on them. See a story trailer and a (satisfying) video of the wheel turning here: Encounter With Ship 47 This episode landed on MUSIC. Ooo, one of the mystery spokes has been revealed. I listened to a track called "Dimension of Time" from the soundtrack for a computer game from my youth, "The Dig." And I had visions of adventure in space... Here's an earlier episode from this season inspired by music: Nine Gods in Masquerade.   MERCH!Interested in merch, like mugs and notebooks, featuring my artwork?Please visit my Store page for info on where you can buy: STORYFEATHER STORE   NEWSLETTERSThe Store page also has sign-up forms for my two email newsletters: Storyfeather Gazette (if you'd like to keep up with the fiction I create) Fictioneer's Field Guide (if you'd like writing tips and guidance from me)  Choose what you want. (Either way, you're choosing high jinks.)   MY FIRST BOOK (yay)Ever wonder how I've gotten all these hundreds of stories written? I have a method. You can learn it in my book called Fictioneer's Field Guide: A Game Plan for Writing Short Stories. It's now available from Amazon as an eBook, paperback, and hardcover. You can also get there from my Store page: STORYFEATHER STORE   CREDITSStory: "Encounter With Ship 47" Copyright © 2022 by Nila L. PatelNarration, Episode Art, Editing, and Production: Nila L. Patel   Music:"Among the Stars" by ANDREW SITKOV (Intro)"Another World" by ANDREW SITKOV (Outro)"Abstract Vision #5" by ANDREW SITKOV (Outro)   Music by ANDREW SITKOV (MuzStation Game Music)"Stars Talk""Unknown Terrain""Freedom""Dark Side""A Long Way""Space Discoveries""First Contact""Lost in the Dark""Among the Stars""Another World"   Music by ANDREA BARONI (Cyberleaf)"The Longest Year (no percussion)"   All tracks are part of a music and sound effects bundles I purchased from Humble Bundle and sourced from GameDev Market. Music by Andrea Baroni and Andrew Sitkov is licensed from GameDev MarketSound effects from AudioJungle, GameDevMarket, and Soundly (through Hindenburg)Vocal effects created with Audacity Changes made to the musical tracks? Just cropping of some to align with my narration.  Find more music by Andrea Baroni and Andrew Sitkov at gamedevmarket.net Find more stories by Nila at storyfeather.com   Episode Art Description:Digital drawing. Five silhouettes against a window, all face a luminous spiraling phenomenon beyond. At top left, a human in a chair that's hovering over the heads of the others, in partial right profile, with left hand raised to the window. Below, from right to left. A caterpillar-shaped being sitting on the window ledge, with two antennae raised to the window, tail dangling from the ledge. A being with a squid head, with five tentacles held up against the window, standing on what appears to be three knobby or segmented legs. A human standing with both hands pressed against the glass at head level. A being shaped like a central stalk with fuzzy hair at the top, two pairs of loops protruding from the sides, and knobby plumes rising from the loops. A wall to the left displays some glowing lights and panels. Watermark of "Storyfeather" along window border along right.

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

In dieser Folge des Nahtoderfahrungs-Podcasts geht es um eine außergewöhnliche Erfahrung eines indischen Arztes, der während einer schweren Krankheit eine tiefgreifende Nahtoderfahrung gemacht hat.Er verlässt seinen Körper, beobachtet sich selbst von der Decke aus und erlebt eine andere Dimension des Seins. Schmerz verschwindet, Gedanken werden klar, und eine stille Präsenz stellt ihn vor eine Entscheidung: zurückkehren oder gehen.Besonders eindrücklich ist die Vision eines universellen Bewusstseins – ein strahlendes Licht, aus dem individuelle Bewusstseinszentren hervorgehen und wieder zurückkehren.Diese Erfahrung wirft zentrale Fragen auf:Was ist Bewusstsein wirklich?Existiert es unabhängig vom Körper?Und was passiert nach dem Tod?Zusätzlich zeigt diese Geschichte typische Merkmale einer Nahtoderfahrung:– Außerkörperliche Wahrnehmung– Begegnung mit einer nicht greifbaren Präsenz– Gefühl von Klarheit und Ruhe– Vision eines übergeordneten Bewusstseins– nachhaltige PersönlichkeitsveränderungEin besonders spannender Aspekt: Der Mann nimmt Ereignisse wahr, die räumlich weit entfernt stattfinden, und diese werden später bestätigt. Diese Folge verbindet Spiritualität, Bewusstseinsforschung und persönliche Transformation auf eine Weise, die zum Nachdenken anregt.Zum Originalbericht: https://www.nderf.org/Experiences/1india_physician_nde.html

Moscou était considérée comme la capitale la mieux défendue du monde, mais ses habitants vont désormais devoir s'habituer au bruit strident des drones et aux explosions. Les Ukrainiens ont trouvé la faille dans le dispositif de défense aérienne entourant la capitale russe. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

The future of war has been evolving before our eyes in Ukraine, yet the west still plans to fight the last war. In this special episode, guest host Noah Smith (@noahpinion) and Brandon Anderson sit down with Yaroslav Azhnyuk (@YaroslavAzhnyuk), a serial tech founder who went from building PetCube to founding The Fourth Law, one of the world's most advanced AI-guided drone companies. Over two hours we cover the technology, tactics, and geopolitics of drone warfare, and why the modern battlefield has already left the West behind:* Yaroslav's personal history and the Ukraine war [00:01:04 – 00:14:01]* The modern drone tech stack: why FPV drones are the new god of war, the future of the rifleman, fiber optic vs. AI, five levels of autonomy, and the eight dimensions of the autonomous battlefield [00:14:01 – 01:05:13]* The geopolitics and economics of drones: China's manufacturing advantage, the drone race, Western defense readiness, countermeasures, and why the gap is widening [01:05:13 – 01:58:57]For those looking for Noah Smith's commentary, it really gets going around the 00:51:31 mark.Yaroslav Azhnyuk / The Fourth Law:* X: https://x.com/YaroslavAzhnyuk* LinkedIn: https://www.linkedin.com/in/yaroslavazhnyuk/* The Fourth Law: https://thefourthlaw.aiNoah Smith:* Substack: Noah Smith * X: https://x.com/noahpinionTimestamps00:00:00 Cold Open: China's 4 Billion Drones and the Cameras-to-Explosives Pipeline00:01:04 Introduction: Brandon, Noah Smith, and Yaroslav Azhnyuk00:05:41 From Tech Entrepreneur to Defense: PetCube, Brave One, and the D3 Fund00:10:42 The Ethics of Building Weapons: Dual-Use Technology and the Wolf at the Door00:14:01 The Tech Stack: Cameras, Autonomy Modules, Interceptors, and a Semiconductor Fab00:18:47 Fiber Optic vs. AI: The Radio Horizon Problem and $32/km Cable00:25:32 FPV Drones: The New God of War — 70–80% of Frontline Casualties00:28:28 The Five Levels of Drone Autonomy: From Terminal Guidance to Full Autonomy00:41:37 The Eight Dimensions of the Autonomous Battlefield00:45:32 AI Safety and the Morality of Autonomous Weapons00:51:31 The End of the Rifleman? Noah's 2013 Prediction vs. Battlefield Reality01:05:13 China's Manufacturing Advantage and Western Vulnerabilities01:24:21 Policy Advice for Western Defense: Defense Valley and the Widening Gap01:32:54 The Drone Race: Who's Ahead, Category by Category01:41:57 Countermeasures: Shotguns, Jammers, Lasers, and Fishnets01:58:19 The Wedding and Final Takeaway: Be Prepared for WarTranscriptCold Open: China, FPV Drones, and the New Warning SignYaroslav [00:00:00]: Think about this. Last year, Ukraine produced 4 million FPV drones. Ukraine is not the most industrious nation in the world. China can produce 4 billion of these FPV drones.Noah [00:00:10]: Would you say that right now China is now the supreme conventional military power on Earth, given its ability to manufacture and deploy drones in the quantity and quality that you just described?Yaroslav [00:00:20]: I don't think we have all the information to claim that but we cannot count it out, and that alone should be a big warning sign. As I say, at some point in my life I went from making cameras that fling treats to pets to cameras that fling explosives to the occupiers. So that's the short story. And when you think about what your nation, what your patriots are going through, you realize that's the only morally right thing to do is to fight back, and it is immoral not to fight back, and then the choice becomes very clear.Introduction: Yaroslav Azhnyuk, Petcube, and the Last Flight into KyivBrandon [00:01:04]: Welcome to Latent Space. I'm Brandon. I normally do science podcasts, but today we're going to do something a little bit different. I'm joined by Noah Smith of Noahpinion on Substack and Twitter. And he has lots of interesting things to say about drones. And as a guest, we have Yaroslav Azhnyuk, founder of The Fourth Law and several other, drone-related startups. To get started, it is February 23rd, 2022. You are running a pet startup. You're connecting pets with their owners. Let's go in just a little bit of background. How did you get started in tech, and what were you working on before the Ukrainian war started?Yaroslav [00:01:50]: Good to be here. Thank you. On February 23rd, late in the evening, 11:00 PM Kyiv time, my wife and I landed in Kyiv. Actually, then she was a fiance. We came from Lviv, where we were looking at a church, where our wedding should have taken place. And we got into this cab ride from the airport to our home, and the driver was like, “You crazy. Like, everyone's leaving Kyiv. Why do you come?” We're like, “What? Nothing's going to happen. Dude, chill.” And then obviously, eight minutes later, or eight hours later, the bombs fell in the city. It was quite surreal. We probably landed on the last flight that landed in Kyiv, or one of those last flights. My background, I'm a tech guy. Studied applied mathematics in Kyiv Polytechnics, born and raised in Kyiv. My parents are old PhDs from academia, and grandparents too. Like, everything, from linguistics to nuclear physics. And I'm an entrepreneur, so I've built a bunch of companies. Petcube is the one you were referencing. So I lived in San Francisco 2014 to 2020, building Petcube, which is one of the leading, pet device companies in the world, selling lots of pet cameras. And then, yeah, as I say, at some point in my life I went from making cameras that fling treats to pets to cameras that fling explosives to the occupiers. So that's the short story.February 24th: Leaving Kyiv as the Invasion BeginsNoah [00:03:28]: February 24th, I guess a few hours after you, go to check out your wedding chapel, what do you do?Yaroslav [00:03:37]: We had a plan for this situation. So my parents and family live in Kyiv, and we're like, “Okay, this has actually started. The worst has, come true.” And so we basically packed our belongings and got in the car and spent 17 hours driving west. And that was pretty sure most people in our audience watched at least one apocalyptic movie in their life, so that was exactly like that. Like, felt exactly like that. Missiles are falling. Like, there was smoke in Kyiv. Like, my dad and I went, like, to central part of the cities. It's probably, likeYaroslav [00:04:20]: 800 meters from presidential office, to pick some stuff up at his workplace. Because he's, like, the head of an academic institution, so he had to get some of the things with him. And super surreal. Like, the streets are empty. Like, the gas stations are out of gas. Like, we found some gas station. We didn't have, like, spare canisters with us, so we're like, We figured out, like, the car was diesel, so like, we figured out, if it's diesel, you can actually store it in plastic, canisters, and we bought some window wash for the cars. We poured it out of the canisters, and we poured the diesel into that. Yeah, so it was like that. And then, like, helping friends get out, like my friend and his dog. Like, we found Like, my brother was also, like, riding in a separate car. We found a place for my friend who didn't have a car. It was like, yeah, it was like, totally surreal. And we didn't know of course, and you didn't know this will last for so long. You didn't know whether Ukraine will be able to defend Kyiv. And it was like, yeah, very little information and very little insight into future.From Pet Cameras to Defense Tech: Building for Ukraine and the Free WorldNoah [00:05:42]: What are your thoughts with regards to how do you, defend, Ukraine? So you eventually start building drones Like, what is the process to get from there from where you were building, devices that connect owners with pets to building drones, and what other things did you do to help the war effort in the process?Yaroslav [00:06:07]: It's definitely non-trivial, right? Like, I didn't go, to I didn't get any, like, military education when I was a student. Like, normally, in Ukraine, you would, you would go to like, this military school even if you're getting higher education in any other, sphere. I decided to skip that which is like, an unusual way to go. And I never thought that I will be somehow engaged in a war effort. Like, what is war? Of course, wars are over. It's the end of history. So one thing you got to understand about, like, many Ukrainians and like, I guess, it's also true about most of the people I met here in the US, that your who you are in terms of your nationality is a big part of your identity. So when that gets under attack, it's something deeper than just the country you live in gets under attack, right? And I Day one, I figured I'm going to I'm going to fight back with everything I can, right? But I didn't think on day one that I'm actually going to do, weapons. And a bunch of things. We were reaching out to a number of American, congresspeople and senators, and basically advocating for support of Ukraine, for voting for lend lease, which has happened in May 2022, but didn't actually work as expected. We helped start, Brave One, which is now a very important defense innovation cluster, sort of like a DIU here in the US. We helped start, a fund called D3. It's like, it was started or co-started by Eric Schmidt, former CEO of Google. So a bunch of these odd things, but then eventually I was like, “Okay,”by 2023 it was obvious this thing, A is going to last a lot more time, and B, that the whole world is shifting and that there's going to be a new arms race, that the warfare is redefined by drones as platforms. And for the first time in history, you have a platform that is software defined, that can increase your battlefield capabilities, in a in a step change just overnight. So it's like if you were able to push a software update and get all of your Roman legionnaires a new helmet? That has never been possible before. It's the first time in the history of war this is possible. So all of that and many other things like, supply chain fragilization, and the impact that AI is going to have on all of this all these things have become evident to me in 2023, and it's like, “Okay, I should do what I do best, or what I know how to do best, start a tech company, and sort of leverage the global techno capitalist machine, to provide, defensibility to Ukraine and the free world.” So that's literally the mission of the company, increase defensibility of Ukraine and the free world. And then there was some sort of soul-searching and like, asking yourself. It's like, “Okay, am I Actually, I know nothing about weapons. Am I actually, like, ready to make, things that other people use to kill other bad people?”Yaroslav [00:09:36]: When you think about what your nation, what your Compatriots are going through And think about all the terror of places like Bucha, the occupied cities in the east and south, the abducted children, the raped women, all the economic damage that's being done, and the intention to destroy a whole nation, to genocide the people of Ukraine, you realize that's the only morally right thing to do is to fight back, and it is immoral not to fight back. And then the choice becomes very clear. And look, we're just passing the ammunition. We're not doing the actual job. The actual fighters and defenders and heroes are people in the armed forces. We're just support.The Moral Question: Weapons, Responsibility, and Fighting BackNoah [00:10:33]: I have so many questions. Actually, I know you seem to have a question. Do you want to ask anything?Yaroslav [00:10:38]: No, I'm just listening. Go ahead.Noah [00:10:40]: I do want to talk about, some of let's say, the moral issues, like you just said. You endYaroslav [00:10:50]: I think there are no issues there.Yaroslav [00:10:52]: What would an example of a moral question be in this case?Noah [00:10:55]: No, I mean Okay. As you just said, you are creating the tools, but others are using them.Noah [00:11:05]: I was maybe thinking of having this conversation later, but one of the questions is like, is it actually you are going to be building them for your homeland, which you are building it for your homeland, which is I think, very a strong morally defensible position, but this technology is not going to stay with you, right?Noah [00:11:26]: This you will probably be selling these to other people Yeah. So the future is really where the moral issues may come into playYaroslav [00:11:38]: The this question becomes, easier and more complete if we ask this not about a particular technology or particular weapon, if we think that this question actually applies to any kind of technology Right? So -Knife or fire. You can use knife to do surgery and save people's lives, or you can use it as a weapon to take people's lives.Noah [00:12:06]: Cut tomatoes, too.Yaroslav [00:12:08]: Cut tomatoes too.Noah [00:12:09]: Yes, knife.Yaroslav [00:12:09]: That's helpful.Noah [00:12:10]: In Japan, sword and knife, they, call the same word.Yaroslav [00:12:14]: It's like, it's with any technology. Large language models, right? Look at how powerful they are and yet they're available to anyone in North Korea or in Russia.Yaroslav [00:12:29]: That's one side of the argument. The other side is As a maker, what is your responsibility for how the tools you're creating, will be used? There's definitely some responsibility, right? Then How should the decision process look like? Should you, like, try to calculate all the possible scenarios before starting to work on something? Or do you create something that is needed now to save people's lives, and then think about, addressing the unwanted edge cases later? In ideal world where there's like, or okay, it's not ideal world. In a mythical world where there is some one governing party and it gets to decide everything, and there is no other country, that can, decide on their own, you could say, “Well, we need to calculate for all the consequences, and only then, maybe build this building, by replacing this park because, maybe we need this park in the city,”right? So that kind of situation. But when you're in a situation where you're in a forest, in front of a wolf, you first going to deal with the wolf that wants to eat you, and then you're going to go consult Greenpeace. So that's kind of situation that Ukraine is in.The Fourth Law, Odd Systems, and Ukraine's Drone StackNoah [00:13:59]: Enough. Because this is a tech podcast, I did want to spend some time talking about, sort of the tech in that you've developed and what you've been working on. So can you explain, I guess, first of all, like, the problem that you were trying to solve from a technical standpoint? And I think, and then maybe, like, go into some of the solutions and some of the design process that led you from designing, little laser-guided, guiding lasers with a with an iPhone versus Having drones.Yaroslav [00:14:34]: Like, it so happened, that my partners and I, we sort of So I started one company called The Fourth Law, and its goal was and is to Make, massively scalable on-drone autonomy. And then In parallel with that together with my, Petcube co-founders, partners, and friends, we started another company called Odd Systems Which, was focused on making thermal cameras. Cameras, thermal cameras are seeing thermal radiation and are used to see at night. And we're now sort of those companies are getting closer and closer together and we're probably going to merge them. And this group of companies is currently the leading, team in on-drone AI and thermal imaging on the Ukrainian battlefield, and Likely one of the leading, if not the leading in the world. So We have these, like, three sort of business units, which are cameras, drone autonomy, and drones. So the cameras and drone autonomy sell daytime and nighttime cameras and different types of drone autonomous modules to other drone manufacturers, over 200 drone manufacturers in Ukraine. And then the UAV, business unit sells the drones themselves to the armed forces of Ukraine, Ukrainian government. And there are different types of drones. Those are sort of front strike, as we call them, so those are sort of FPV strike drones and the bombers, and then interceptors. And there are different kinds of interceptors. We do Shahed interceptors and we do ISR interceptors. We don't do the deep strike-FPV Drones, Interceptors, and Battery-Powered WarfareNoah [00:16:32]: What's an ISR interceptor?Yaroslav [00:16:33]: ISR is stands for intelligence, surveillance, reconnaissance, and those are basically drones which are which, Russians are using to watch over positions and then communicate where, the targets are coming.Noah [00:16:48]: It's a reconnaissance.Yaroslav [00:16:48]: That's, the ISR is sort of a classical term for a for a reconnaissance drone.Noah [00:16:53]: Are all of these battery-powered drones that you just described? ‘Cause I know that the sort of deep strike drones still have, like Some sort ofYaroslav [00:17:01]: Internal combustion engine?Noah [00:17:02]: Internal combustion engine. Are all the things you're talking about battery-powered?Yaroslav [00:17:06]: What we're working on is all battery-powered, right? We don't do the deep strikes, right? And then in terms of autonomy-Noah [00:17:12]: You can catch a Shahed with a battery-powered thing. It's not Fast to catch.Yaroslav [00:17:17]: No, absolutely. Look, Shahed interceptor, like ours, it's called Zero, it goes up to 326 kilometers per hour.Noah [00:17:26]: For reference, how fast is a Shahed?Yaroslav [00:17:28]: Eight, like, in internal phase it could be 280, but in cruise phase it's, like, 220-ish.Yaroslav [00:17:36]: Yeah. And sorry, I'm not like you can convert that into miles if you're interested.Noah [00:17:41]: No, that's fine.Noah [00:17:41]: Multiply by two thirds or point six or something.Yaroslav [00:17:44]: That's easy. Yeah, I was saying that for autonomy modules, right, we, -We make systems, autonomous systems for frontline, for interceptors and some for deep strikes as well, and then different levels of autonomy. So from terminal guidance, which is like lasts 500 meters, give or take, to autonomous bombing, to autonomous target detection, to autonomous navigation and all of that across day and night, different terrains, different time of the year, different platforms like quadcopters and fixed wing, and maybe some other platforms. So it's quite a wide variety of products. We also have like our own simulation. We have our own training school for the war fighters. And we're about to start construction of two, semiconductor plants to make, sensors for thermal cameras. So that's super exciting for me as a computer science guy is Doing semiconductors. Super cool.Noah [00:18:49]: Like in terms of kind of core drone technologies, you basically are one is an FPV replacement without fiber optics, and the other isYaroslav [00:18:59]: YouNoah [00:18:59]: Signal tracking with interceptorsYaroslav [00:19:00]: With or without fiber optics. Fiber optics Is just like, sort of a communication module.Yaroslav [00:19:05]: You can, you can use classical analog, video link and radio link. Those would be two separate radios. You can do digital, or you can do fiber optic, and then fiber optic Has its own advantages but also adds weight and decreases, the distance and decreases, how fast you can, sort of turn and With a drone. Yeah.Noah [00:19:33]: Do you need AI for fiber optic drones?Yaroslav [00:19:36]: Like you can use AI for fiber optic drones. AI replaces a human, right? Fiber optic is making your communication link more resilient. So those are slightly different goals. Like if you want, you can have, AI controlling hundreds of fiber optic drones instead of having 100 operators for each.Fiber Optics, Radio Horizons, and Terminal GuidanceNoah [00:20:03]: I guess I thought that the key reason that people moved to fiber optic drones was for like electronic, countermeasures. Or I guess to counter those.Yaroslav [00:20:13]: I think that's a correct assessment from sort of a public awareness standpoint. In practice it's somewhat more difficult Because besides electronic countermeasures, you have these issues of a radio horizon For FPV drones, which means that asYaroslav [00:20:36]: I believe Earth is round Some people disagree. But basically if you fly a drone and you have a land station over here and a drone flying over hereYaroslav [00:20:49]: If your drone is flying high, you have good direct radio visibility. If your drone goes low, and usually, Russian infantry and vehicles, they're on the ground and you want to hit them, you need to go low. Lower you go, maybe you'll get behind a hill or behind a forest, and if you're far enough, you'll just get behind the curvature of the earth. You get into what's called a radio shadow. And then That is a real bummer because for the last, be it 60 or 20 meters, you won't be able to see anything and it will be very difficult to hit the target. So to counter that what-- And then the distances that these FPV drones, act on they're, they can be quite large. So for example, here in the US there was this drone dominance program competition, and in drone dominance the furthest distance was about 10 kilometers.Noah [00:21:44]: What was drone dominance? What was that competition?Yaroslav [00:21:47]: Drone, the drone dominance is a is a program started, by the US government, to accelerate the development of drone technology here in the US.Noah [00:21:57]: Got it. And the longest range thing they were using was 10 kilometers.Yaroslav [00:22:00]: Was 10 kilometers, right. In Ukraine, like if your drone doesn't fly at least 20, 25, it just, no one's interested in it, and the usual hits are happening. It was like, okay, many hits are happening between 30 and 40 kilometers, and that's what expected from a regular 10-inch, FPV drone. So at that distance, even at altitudes of like 60 to 100 meters, you might start losing, the link. So some of the earlier AI technology that was fielded in FPV drone was this terminal guidance technology. That was the first product that we ever, launched that helped you as an operator, once you see the target from two, three, 500 meters, you lock onto the target and then, it just, drives the drone towards the target no matter what, even after you lost the visual connection. So optic fiber solves that. However, if you want to go like 20 kilometers with optic fiber, that will add an extra three kilos, of useful weight to your drone. SoNoah [00:23:12]: ‘Cause the cable that you have to unspool as you go weighs.Noah [00:23:15]: It is heavy.Yaroslav [00:23:15]: At first, like the spool is about 800 grams, so a bit less than a kilo, and then, and then think about 10, 10 kilometer optic fiber is another kilo, something like that. That takes away from your useful mass and then now you have like, you need a 15-inch drone and it can only carry maybe one or two kilos of explosives if you want to go, 20 kilometers. If you want to go to 30 or 40, like 30 is probably max. 40 is like very problem problematic on optic fiber. And then the problem with optic fiber is it's actually getting super expensive. So and why? Because of all the data centers for AI. That's literally the same optic fiber-Noah [00:24:01]: We're running out of centersYaroslav [00:24:02]: That's being used there.Yaroslav [00:24:02]: Like when Ukrainians and Russians come to Chinese factories to buy the optic fiber, they're like, “We're out. We sold it out to the Americans.”? That's the craziest thing. So optic fiber went up in price from like, $4 per, kilometer to like, $32 per kilometer in a few months in the beginning of this year. And I'veBrandon [00:24:26]: Claude Code is stopping the Russian drone effort here.Yaroslav [00:24:30]: Ukrainian as well. Yeah.Brandon [00:24:31]: Ukrainian. But I read somewhere that the Russians had grown more dependent on fiber optic drones relative to the Ukrainians, and that's one reason why the Ukrainians have sort of regained the initiative in drones recently.Brandon [00:24:42]: How accurate's that?Yaroslav [00:24:43]: The Russians were the first ones to scale that. I think by as of now, Ukraine has caught up. I think, like, as of maybe three months ago, Ukraine is mostly caught up on fiber optic. Yeah.Brandon [00:24:57]: What percent of damage would you say is in terms of FPV drone damage would you say is now fiber optic versus, like autonomous?FPVs as the New God of War: Tanks, Artillery, and Cost per KillYaroslav [00:25:07]: For our, for our audience, I actually, I cannot answer that question. Like, it's like I know the answer, but I would not disclose that. But for our audience, I think another interesting fact is out of all the casualties on the front line Between 70 and 80% are done by FPV drones.Brandon [00:25:30]: FPV drones are the new weapon of universal weapon of warfare.Yaroslav [00:25:34]: It'sBrandon [00:25:35]: Land warfare, anywayYaroslav [00:25:35]: They used to say that artillery is a god of war because artillery used to cause, like 80% of casualties, and now On that ranking-Brandon [00:25:46]: FPVYaroslav [00:25:47]: FPV drones rule.Brandon [00:25:48]: FPV drones are the god of war.Yaroslav [00:25:51]: Sort of. Dethroned artillery. But it's not to say that artillery is not useful, is not needed. Like, all of these systems are needed. Maybe except cavalry, although Russians still use it. I know, have you seen the videos of Russians using mules and horses?Brandon [00:26:09]: What is the usefulness-Yaroslav [00:26:10]: It'Brandon [00:26:10]: Of a tank in the in the modern-Yaroslav [00:26:11]: That's where we need Greenpeace to say a word, but they're silent. Yeah.Brandon [00:26:15]: What's the use of a tank on the modern battlefield?Yaroslav [00:26:21]: It's diminishing.Brandon [00:26:22]: Diminishing.Yaroslav [00:26:22]: However, I think there might be technologies which will, revive the tank. Look, tank still provides you armor, and armor is important. Like, you still need to armor and firepower, right? Like, you can be an armor personal carrier that provides you, armor. The challenge that currently exists is armor is not very well protected against incoming drones. However, there are ways to do to protect it. We were previously talking about this before the podcast. The CEO of Rheinmetall, recently sort of ridiculed, Ukrainian drone industry, saying that like, there is nothing interesting there, no real innovation, no to stand Compared to like, Rheinmetall or Boeing, and it's all made by housewives. There was like, obviously a ton of memes about this people ridiculing the CEO of Rheinmetall. And one of the best quotes, I heard on this topic is from my friend, Alexey Babenko, who's, the head of and founder of VIARI Drone, which is one of the largest manufacturers of FPV drones. They're our partner. They're using our autonomy. So he said that the drones we manufacture in one day will be more than enough to destroy all the tanks Rheinmetall manufactures in a year.Yaroslav [00:27:52]: Then, yeah, cost-wise, of course, a drone is like, $500 and a Rheinmetall tank is what, probably 5 million-ish or maybe more.Brandon [00:28:00]: Don't mess with those housewives.Yaroslav [00:28:03]: Drone wives.Brandon [00:28:04]: Drone wives.Yaroslav [00:28:06]: That's it.Noah [00:28:06]: There's a classic saying that everyone always fights the last war.Noah [00:28:12]: Yet do How did So from your standpoint, how did we get to the point where tanks became irrelevant in at least for now In a matter of just a few years?Yaroslav [00:28:24]: Look, I think it's the same way, how do we get to the point that calculators become irrelevant?Yaroslav [00:28:31]: Now we have iPhones. Like, why would you need a calculator? Technology progresses and its influence grows non-linearly. It's all exponential. So I can tell you that full autonomy, when you put it on a drone Look, so if you, if you think about a tank and a like, it's not a direct comparison, but even, like, a drone and a artillery shell or like, sort of cost per kill, an artillery shell for 155 caliber, which is a standard NATO caliber Currently market price is about $4,000 per piece. So compare that to say, $400 per drone. That's 10 times more expensive. Account for the amortization of the artillery gun and for how vulnerable it is and what is the sort of tactical, capabilities it gives you as compared to a drone. You'll figure out that an FPV drone is maybe three orders of magnitude, more versatile, more useful, more capable than artillery and many of than a classic artillery. Many of Because there are different types of artillery. Not just, like, one 155. You have mortars, you have all that. But give or take, roughly three orders of magnitude maybe. Again, it doesn't have that firepower. It's not one-to-one comparison still.Yaroslav [00:29:53]: Now, take that FPV drone. When you put full autonomy on that FPV drone, which can be not very expensive, like systems that we're, producing are like, in hundreds of dollars of pure bombFull Autonomy: From Human Pilots to Smartphone-Directed Drone MissionsNoah [00:30:06]: Just interrupt. You said full autonomy Just a second ago you were saying that the autonomy here is guidance, right? It's not decision-making.Yaroslav [00:30:14]: No, I was I was saying that's the f-First and sort of easiest pieces of autonomy that was fielded by us. But if you, if you add full autonomy to a droneBrandon [00:30:24]: He, I think he's asking what does it can you, for the listeners, can you explain What the term full autonomy means?Yaroslav [00:30:29]: Basically, I think a good way to think about an FPV drone is like an iPhone of warfare. It's, like, very inexpensive, very mass producible, very versatile. You don't need a bunch of other things when you have a iPhone in your pocket. You don't have, need an MP3 player, you don't need a calculator, don't need other things. All right? So FPV drone is an iPhone. Or like, okay, Apple please don't sue me, is a smartphone. And then, when you add autonomy to it sort of becomes like Uber or ride sharing. Okay? So what it means is instead of actually being a trained pilot who has this complex remote controller device which requires a couple months of training to actually pilot the drone, and then having to pilot it for 30 minutes, flying towards the target, et cetera, et cetera, now you basically, you have your smartphone, you have a drone, you pick your smartphone, you say, “We are here. The bad guys are here. Go and get them.” And the drone goes up, flies in a given direction, localizes itself on the map, finds the dedicated area where they, the bad guys are supposed to be sees the bad guys, bombs them, return, like, watches, so does a damage assessment, returns back, sits down, and then you can pick it up and watch the video if you didn't have the radio link, right?Noah [00:31:59]: That's a bomber drone.Yaroslav [00:32:00]: That's full autonomy for a bomber drone, right?Noah [00:32:03]: You're saying that no human decision is made in this entire process?Brandon [00:32:06]: That's not, that's not what he's saying.Yaroslav [00:32:07]: A human decision was made at the beginning of the process-Noah [00:32:09]: I get it. I get itYaroslav [00:32:09]: The same way as you would fire an artillery.Yaroslav [00:32:12]: When you fire an artillery, you don't stop at like, 500 meters away from a target and ask it whether, you want to strike or not. That's exactly, a human decision is always made at some point. So when you do that's full autonomy, and such full autonomy is happening as we speak. And such full autonomy increases the capabilities of an FPV drone, which is already, like, three orders more powerful than an artillery shell. Full autonomy increases its capabilities by four orders of magnitude because now you can have 100 times as many people who can use it, because you don't need to train those people, and this is important. You can have 10 times, mission success rate, and you can have 10 times utility per drone because now instead of being one-way kamikaze, it's, it can be a bomber.Brandon [00:33:05]: Now wait, let's, you said 10 times mission success rate, which means that fully autonomous bomber drones succeed in their missions 10 times more often than human piloted bomber drones do. That's an important thing to know.Noah [00:33:17]: Maybe, to push back onBrandon [00:33:19]: They're super, they're superhuman. They're, they' 10X superhuman.Yaroslav [00:33:22]: They're not vulnerable to electronic warfare. They don't care about the radio horizon. They don't lose track during navigation. They are not susceptible to human error when, an artillery shell or other drone blows up besides you and you're like, “Hell no,”like, “I'm getting out of here.” Right? That doesn't happen to an autonomous drone. Like, all of those things. Like, we have, like, one of the brigades that's using our drones with just first level autonomy They literally said that their success rates-Brandon [00:33:53]: What's first level autonomy?Yaroslav [00:33:54]: First level autonomy is just the terminal guidance.Yaroslav [00:33:57]: By the way, we have video of that. We can watch that.Brandon [00:33:59]: Terminal guidance means a human gets it nearby and then the AI takes over.Yaroslav [00:34:03]: The human flies it all the way, like 30 kilometers towards the target, and obviously the target was probably given to that human by someone who's flying some ISR drone, some reconnaissance drone, right? So all the way to the target, and once you see the target from a distance of 500 meters, you do target lock, and from there drone flies autonomous. So just that feature alone, it has increased the guy's, his call sign is Grom, so it has increased his, mission success rate, like precision of mission, yeah, mission success rate from 20% to 71%, and it also increased his kill zone from three kilometers to 10 kilometers, which means there's certain area around the front line which is designated kill zone. Whenever enemy goes into that area, it's almost guaranteed to be to be destroyed by a drone. And then obviously the drones are not launched from like, the zero line. They're usually launched from like, minus 10 kilometer-Mission Success, Failure Modes, and the Five Levels of AutonomyBrandon [00:35:03]: What is a zero line?Yaroslav [00:35:05]: Zero line is sort of an imaginary line of control, of two conflicting forces.Brandon [00:35:14]: It's important to explain these things to a lot of the listeners who areYaroslav [00:35:17]: Thank you for askingBrandon [00:35:18]: Familiar with warfare.Noah [00:35:20]: Myself.Noah [00:35:20]: I'm one of those listeners.Brandon [00:35:20]: You said that level one autonomy, in other words just terminal guidance, just, like, human gets it to the finish line and then it goes over the finish line, increases mission success from 20 something percent to 71%, or something like that.Yaroslav [00:35:33]: Increases the kill zoneBrandon [00:35:34]: Increases the kill zoneYaroslav [00:35:34]: Three kilometers to 10 kilometers.Brandon [00:35:36]: Got it.Yaroslav [00:35:36]: On both parameters-Brandon [00:35:37]: What is full autonomy, dude? AndNoah [00:35:38]: Actually on real quick, can we define mission success and like, maybe in a way, what are the failure modes of missions?Brandon [00:35:44]: I have a guess what mission success is.Noah [00:35:46]: But I couldBrandon [00:35:47]: Get ‘em.Yaroslav [00:35:49]: No, but that's a very good question, in fact, because, even if you fly into the target, well, first the target can be damaged or destroyed. Those are two different modes. Then there can be different targets. A sole infantryman is one kind of target. A dugout where supposed there are some, enemies there is another kind of target, and a some mechanical equipment is another type of target. Radio emitting equipment, which, like, often, like, the targets that the military want to get more than anything else is the some enemy radio tower or something like that or some small radio dish that really makes life difficult in that area, in that combat area. So those are different targets, right? It can be destroyed, can be damaged.Then sometimes, the drone hits but doesn't explode. Like, that happens. And then, there are other failure modes. You didn't even reach the target because you were A jammed by electronic warfare; B, you lost the control over drone because of the radio horizon; C, you were jammed by a different type of electronic warfare that happens way before You hit the target area. It's, impacting your, video receiver. So like jamming on video or jamming on control are two different types of jamming. Then something malfunctioned on a drone, just a mechanical malfunction, maybe like a motor broke or like, whatever. So all of those are different failure modes. Yeah, or maybe you got lost, you're navigate navigating to your, to your target. That happens, too.Noah [00:37:41]: The Level one autonomy, basically you manage to point in a direction.Noah [00:37:49]: You go there, and then the last mile The drone taking over.Yaroslav [00:37:52]: We define this like, I define that but it sort of got picked up by the industry. We define five levels of autonomy. So level one is terminal guidance. It's what we just discussed. Level two is bombing. Level three is autonomous target detection and engagement decision. Level four is autonomous navigation. And level five is autonomous takeoff and landing.Noah [00:38:15]: Those are good things to knowYaroslav [00:38:16]: Those are five levels of autonomy. Now, if youNoah [00:38:19]: I have a question for you.Yaroslav [00:38:19]: Sorry. Like, let me finish withNoah [00:38:21]: SorryYaroslav [00:38:21]: Theoretical part.Noah [00:38:23]: What is Tesla running at right now?Yaroslav [00:38:25]: Tesla?Noah [00:38:25]: No, sorry.Yaroslav [00:38:26]: That's very good point. Like, it's exactly, it was inspired by the levels of self-driving autonomy.Noah [00:38:32]: Waymo's level five, right?Noah [00:38:35]: You just tell it where you want to go, it picks you up, and then you go there.Yaroslav [00:38:36]: I think, like, if you, if you look at the classic definitions of self-driving cars, Waymo is still, like, level four because it still requires even remote, but still, like, human control. It's like if Waymo gets in trouble, there is an operator who takes over and resolves this. So that would still be a level four. It doesn't map directly, but it's also five levels.Brandon [00:38:58]: Can I, can I interject a question here? In terms of an FPV drone that's like a suicide drone that'll just blow itself up killing something, how do what it hit? Like, does it, just transmit back, or do you sort of like, lose track of it and hope it hit? Like, what happens to that?Yaroslav [00:39:16]: That's a great question. SoBrandon [00:39:18]: You need another droneYaroslav [00:39:19]: Like, the current battlefield in Ukraine is saturated with different types of drones. So obviously you have all the FPV drones and last year alone, Ukraine manufactured about 4 million of these, and then Russia's maybe, like, 20% less than that. And for this year, the publicly voiced target was 7 million on Ukrainian side. So it's, like, serious numbers. We're getting in serious numbers here. And then besides those, there are different, reconnaissance drones, ISR as we call them, and there are sort of tactical level ISR where we, both Ukrainians and Russians usually use, Mavic, drone by DJI. And then there are a bunch of locally produced drones, which are sort of fixed wing drones that can stay in the air for much longer than Mavic, maybe, like, half an hour. And then, there are drones that can stay for many hours or even up to a day. And those drones have, are more expensive, have more expensive cameras, et cetera, et cetera. We hunt those drones that Russians launch. The Russians hunt our drones, and so on. But ideally, when you, are a group of soldiers operating an FPV, you'll have someone in your, company, or someone in your platoon who has an ISR asset that will do target designation for you. They'll say, “Oh, like, there's a Russian vehicle over there. Go and get him.”and you go there, you get it, and they're like, “Okay, confirmed.”Battlefield Surveillance and the Eight Dimensions of AutonomyBrandon [00:40:57]: Those guys are watching. They have their own drones in the sky.Yaroslav [00:40:59]: Target destroyed. They have, like, a carousel of drones because One Mavic cannot stay more than 30 minutes. ItBrandon [00:41:06]: They're constantly surveilling the battlefield.Yaroslav [00:41:07]: Almost every spot on the battlefield.Yaroslav [00:41:11]: It's not always the case. Sometimes you will not have a surveillance asset, so then you would launch another FPV just to confirm that there was a hit. Then if you see there was a hit and you're not sure if it completely destroyed, you maybe hit again for good measure.Brandon [00:41:26]: You double tap.Yaroslav [00:41:28]: That's how it works. But I was about to give you another sort of piece of taxonomy. So you have five levels of autonomy, right? Then you have sort of eight dimensions of autonomous battlefield. So what is eight dimensions? It's crucial to understand how autonomy evolves in a modern, battlefield environment. So dimension number one is level of autonomy. What are the capabilities that your asset has? Dimension number two is the platform you're operating on. So it can be a quadcopter, a fixed wing drone, different types of maybe, like, a long range drone or short range drone, but it can also be a missile. You can have autonomy even on an artillery shell or a ground vehicle or a sea vehicle. So all of those are different platforms. Level three would be domain. So it's ground to ground or ground to air as an intersection, or ground to sea or sea to air. They're all, like, all the nuances with different domains. Then level four, would be higher levels of autonomy, such as swarming, drone carriers, drone nests, et cetera.Brandon [00:42:39]: Now when you're saying level, you're talking about dimensions, not about-Yaroslav [00:42:42]: Sorry. YeahBrandon [00:42:43]: Autonomy levels. So dimension four.Yaroslav [00:42:43]: The dimension. Yeah, I used to say I was supposed to say dimension. I say dimension because each of them works with another, right? So you might have, like third level autonomy, fixed wing drone operating in land to air, and stuff like that right? And then operating in a swarm or operating from a nest. Right? Then you have, sort of dimension number five is environment. So is it day or night? Is it summer or winter? Is it, humid, cold, dry? What kind of target is it? Is your target hiding in a forest, or is it, behind a hill or within buildings? So all of that is environment. Then you have, dimension number six is command and control. How are you dealing with or like, tens of thousands of those assets around the battlefield? How are you coordinating that on the higher levels of command? How are you collecting data? All that.Yaroslav [00:43:44]: Dimension number seven would be infrastructure, so things like simulation, data collection tools, security, deployment mechanisms, et cetera. So all those systems have to be developed separately and integrate with all the others. And finally, dimension number eight is sort of distribution. Have you deployed 100 of these systems or 100,000 of these systems? Because those are two very different ballgames. So that now gives you a more broad overview of how autonomy propagates across the battle space.Targeting, Human Responsibility, and Rules of EngagementNoah [00:44:23]: As someone who has done machine learning and had gone out of distribution and had things, go horribly wrong, you were talking several of these, kind of axes of thinking about drone warfare seem like they could be very susceptible to some sort of distribution shift if you start making things autonomous.Yaroslav [00:44:41]: Like what?Noah [00:44:41]: I mean Well, first ofYaroslav [00:44:43]: If the I'm very interested Sort of sort of kinds of scenarios that you're thinking about.Noah [00:44:48]: Like the most obvious one is you, if I assume these are computer vision guided systems for at least the last mile, how do you ensure that oh, well, like you now have some fog roll in or something, and you, the drones just attack the wrong thing? Or maybe, it probably will not turn around and fly back and attack you, but youYaroslav [00:45:10]: Same, the same, the same question, how do you ensure that your mortar fire hits the right thing? Well, it's like mortar fire, give or take half a kilometer could be plus or minus. So maybe you fire one, and then you fire another. So drones are actually, much better in being precise in those scenarios. And I think, to your point, I think five to 10 years from now it will be immoral to use weapons without AI.Yaroslav [00:45:44]: ‘Cause weapons without AI will be more likely to cause, collateral damage or unwanted damage. Same way, it will be immoral to drive your own car manually on a public road because it's more likely to cause, unwanted damage.Noah [00:46:02]: Wow, I never considered that mightBrandon [00:46:04]: Really? That's definitely coming.Yaroslav [00:46:07]: Anyway.Brandon [00:46:07]: No, but that' I don't know, it's an obvious, an obvious thought. I agree with you.Brandon [00:46:12]: I, No, they, obviously they're not going to let you drive once most of the cars on the road are autonomous.Noah [00:46:17]: No, that one, don't I believe.Yaroslav [00:46:19]: No, I think you were you were talking about drones, right?Brandon [00:46:21]: The drones, right. Cool.Yaroslav [00:46:22]: The weapons, right?Brandon [00:46:23]: Friendly fire and collateral damage and stuff like that is all minimized with AI.Brandon [00:46:27]: Here's my question. Take all let's go to level six autonomy. Let's take all of the target selection. Let's take all the battlefield data, integrate it into one big AI, and have that big AI basically be in command of the battlefield And agentically do target selection.Yaroslav [00:46:44]: Be the general, right?Brandon [00:46:44]: It's a general. It's, you've cut humans out of the loop except maybe as dexterous robots, repairing drones and fastening things to drones or maybe something like that because you don't have those robots yet. How soon are we there? AI general.Yaroslav [00:46:58]: The most important thing to ask ourselves is who will be faster to that us or our adversaries?Brandon [00:47:07]: I assume us, but how fast will we be to that? I hope us.Yaroslav [00:47:11]: I hope so too.Brandon [00:47:12]: How fast can we Like when are we looking at that in terms of like horizons years?Yaroslav [00:47:18]: Like technically, it could be done now. The question is of course, there's, some engineering work to be done. The bigger challenge is deployment. Right? So okay, technically Like operation in Iran, right? They, the publicly, it was claimed that I think Palantir system was used for target designation, et cetera, et cetera. So it is not exactly as you say, the AI makes all the decisions, but basically AI goes through all the data you have, gives you these 1,027 different targets and says, “You-- To confirm, please press Okay.” And you look at the targets and you're like, “Yeah, sounds right. Press Okay.”so that's, I think that's where we are now already, or we were a couple weeks ago as we're recording this on April 10th. Another question is how massively deployable it is. Is it, like, every decision being made like that or is it, like, just some of the decisions made like that? And then different levels of command and control. There you have, like, the platoon, the company level, the battalion, et cetera, et cetera, et cetera. But the tricky thing here when we get into that territory, the tricky thing is If your enemy is getting advantage of being Thousand times faster than yourself by deploying such systems What do you do?Yaroslav [00:49:10]: You got to-Brandon [00:49:12]: The if the enemy is a thousand times faster than you at deploying those systems?Yaroslav [00:49:16]: Like, if enemy starts deploying level six autonomy, as you call And you have not started doingBrandon [00:49:22]: You're in troubleYaroslav [00:49:23]: Yes, exactly. So you have to catch up. So my point is that it is very important to think about the safety of these systems, but that thinking should not slow you down in developing them because they are critical for your existential, survival, right? And like, one person who doesn't think, doesn't get to think about the ethics of the war is a dead person. That person surely doesn't get to think about that.Brandon [00:49:52]: What would be the safety risk of such a system?Yaroslav [00:49:55]: Of course-Brandon [00:49:56]: Friendly fire?Yaroslav [00:49:56]: Just wrong decisions, right?Brandon [00:49:59]: I see.Yaroslav [00:49:59]: Maybe, these decisions-AI Command Decisions, Dead Zones, and Complex BattlefieldsBrandon [00:50:06]: Skynet AI decides it's going to useYaroslav [00:50:08]: No, these-Brandon [00:50:08]: Drone army to kill usYaroslav [00:50:09]: Decisions will not only be made about drones. They are likely to made about what the humans should do on your side as well. Then obviously some environments are more like Ukrainian-Russian war, where you haveBrandon [00:50:26]: It will have to choose to risk lives. It will have to choose to sacrifice human lives-Yaroslav [00:50:28]: Of courseBrandon [00:50:29]: On your side.Yaroslav [00:50:29]: Of course. And then some environments are just, like, dead, like, dead zones and there are no civilians there, or virtually no civilians close to the front line because, like, super dangerous. Everyone has evacuated from there. But there are other environments which are more like, okay, there's a counterterrorist operation. There's, like, a group of terrorists or a group of civilians. Or like, it's like the recent operations in Iran, I imagine that the US and Israeli forces do not want to harm civilians. They only targeted the military targets there, right? So in those situations, it's a different level of responsibility for that decision-making as well. And then there is just such a big variety of those military missions, and I'm not even, like, well-informed or well-educated in military science to tell you about all those scenarios. We would need to put some general besides me, and maybe a Ukraine general and American general would have told you very different stories about these things.Brandon [00:51:34]: Got it. Can I ask a few more questions? All right. So in 2013, I wrote one of my first, paid articles ever was about how the era of drones will change human society. I was just sitting around bored thinking about things.Yaroslav [00:51:54]: You were way ahead of your time.Brandon [00:51:55]: I said, I said, “The following will happen.”Yaroslav [00:51:57]: It's, this article is real. I've read it.Yaroslav [00:51:58]: It's actually-Brandon [00:51:59]: I said small autonomous, suicide drones, will cleanse the battlefield of human infantry. Human infantry will not be able to stand against swarms of AI-powered, suicide drones. That was I didn't even know about, like, AlexNet at the time, I think.Yaroslav [00:52:19]: You're just an avid sci-fi reader.Brandon [00:52:23]: I'm an avid sci-fi reader, but also, like, it's not Like, there will be a way to do that. It's a it's a nonlinear multidimensional search problem, and you get enough compute, you'll find some search algorithm that will get you there. And soBrandon [00:52:38]: I, yeah, I think that one sentence describes the bitter lesson right there.Brandon [00:52:41]: It's just like it's a multidimensional search space. You search it somehow. I don't know. Figure out some get a grad student-Yaroslav [00:52:47]: Sooner or laterBrandon [00:52:47]: To make a search algorithm.Brandon [00:52:48]: It's not that hard. Anyway, so but then, but I guess the point is The point is that human infantry on the battlefield will be will be gone at the end. I wrote that in 2013. Many people on social media laughed at me for that called me hysterical, said things like, “Electronic warfare will knock all the drones out of the sky.”like, “You need humans to hold ground.”that's something you still hear from a lot of people on social media today. I feel that this article that I've written has never been directionally wrong. It has gotten more and more right steadily over time, and that we're very reading the battlefield reports from Ukraine, where, human infantry are basically guy, like a few guys hiding in dugouts for months, and I'm not sure what they're doing.Yaroslav [00:53:35]: That's on Ukraine's side. On the Russian side, that's just like a zerg rush.Brandon [00:53:38]: The zerg rush, and then they just die. Then, but they have some guys in dugouts too, right? Like hiding in dugouts for months.Yaroslav [00:53:45]: They have. Yeah.Brandon [00:53:45]: Like, but that like, what are those guys doing in the dugouts? Are providing, like, frontline, like, reconnaissance? Like, what are they doing?Yaroslav [00:53:54]: If there is a guy in a dugout with some bullets and automatic weapon, the other guy cannot come and take the that dugout. That'Brandon [00:54:07]: I seeYaroslav [00:54:08]: They are they're establishing control over territory.Brandon [00:54:10]: I see. So that is so there still is a use for human infantry on the battlefield as of today.Yaroslav [00:54:15]: LikeBrandon [00:54:15]: How long will that last?Yaroslav [00:54:17]: I think it will last for a while. This is funny. There's this whole Layer of the modern culture, a modern Ukraine culture built around the war-related stuff. So there is this -Punk rock band, that is called SZC, I guess in English that would be. Which stands short for like a deserter or something like that. So anyhow, this band has a song titled “2030.” It's basically about the year 2030, and the war still goes on as like the whatever, third world war or whatever. And they basically, they, sang about the AI and like cyborgs and everything, but the simple infantry is still needed, and we're still, like, getting cold in those dugouts, and we're still doing our job. That's sort of the theme of the song. And it seems like that's actually what's going to happen. There areGround Robots, Simulation, and the Limits of World ModelsBrandon [00:55:30]: Ground robots will not replace humans in the dugouts soon.Yaroslav [00:55:34]: I'm very much interested in following the whole humanoid robot theme andBrandon [00:55:39]: What about like a dog robot?Noah [00:55:41]: Or just mobile controlled platforms or something.Brandon [00:55:44]: Spider robot, yeah.Brandon [00:55:45]: Everything evolves into a crab.Brandon [00:55:46]: You build a crab robot.Yaroslav [00:55:47]: A humanoid-Noah [00:55:48]: The carcinization of warfare.Yaroslav [00:55:51]: There is a lot of utility in humanoid robots because the world is designed around humanoids. So I would not, like, 100% disqualify the possibility that sometimes 10 years in the future, humanoid robots, will be actually fighting. So that's an actual Terminator kind of scenario.Brandon [00:56:14]: Yeah, in the first Terminator movie, you look at what they've got on the battlefield, they've got flying bomber drones and humanoid robots.Yaroslav [00:56:20]: Look, the cost of large language models of running them is getting so low, you can have basically an inexpensive computer running, what was a state-of-the-art model a year and a half ago, running it locally on a device with an open source model, which also means that the Chinese can have it, the Russians can have it, the North Koreans can have it, et cetera. So that is already possible. And with when we're looking at the acceleration of the neural nets, I would've, if not the acceleration of the large language models, I would've said that I don't think that humanoid robots will be able to be useful in the battlefield earlier than in 10 years. But if you account for the exponential, it might be five years or so. The problem with all of the autonomous systems, and it's like starts with self-driving cars and even with all the AI, like modern day AI agents, to make them really, useful, you have to solve such a long tail of edge cases, that it's really difficult to make them useful. Like we were promised, self-driving cars, what, like 2007, Sebastian Thrun and Google, and even before that all the challenges, everything. And Elon of course told us it's going to be one year from 2014, and now we still don't have self-driving Teslas everywhere. We have Waymos in SF and some other places, but they're still, like, not perfect. So I think, I expect something similar from self-flying drones and fully autonomous drones, and we saw that firsthand as with each level of autonomy that we're adding, there is a very wide distance between a prototype and something that is ready to be scaled to millions of units and something that has been scaled to millions of units. But the race with like AI coding tools is just insane. So things might accelerate very fast, faster than we can imagine.Noah [00:58:46]: I think your point is that with due to this long tail behavior Level one autonomy as you've defined it, is actually very natural. Like you basically are just solving an image recognition and tracking system.Yaroslav [00:59:02]: It's actually interesting that you say it that way, and I thought about this the very same way, and we have this joke that there are like 200 companies in Ukraine which are trying to solve last mile, targeting or terminal guidance. It seems like we're like the only company that actually solved that because even that problem-Noah [00:59:22]: I'm not saying it's, I'm not saying it's trivial, but it's at least something that you imagine given our current state.Yaroslav [00:59:26]: Like us and Eric Schmidt, like Eric Schmidt's companies are pretty good.Yaroslav [00:59:29]: Like, I actually have lots of respect to what they're doing, and they're, they have been practically influential and helpful on the battlefield, and they have good engineering.Noah [00:59:38]: I wasn't, I wasn't saying it's trivial. I'm just saying this is a something naturally adaptive based upon things that we know work, well. But some of the other domains that where you do have to make decisions and you have a long tail become much harder, and you worry about edge cases more.Yaroslav [00:59:57]: Like the more, the more complex behavior you're trying to simulate, the more edge cases there are right? The more ways to do it wrong there are. And then there are different approaches. It's like if you think about, if you read academic papers about robotics, right? You sort of the robot is represented as something that has the sort of sensor input, and then you have three, levels of sort of logics or decision-making, which are perception, planning, and control, and then you have actuators as output.So pre-neural nets, you would do perception output and control all with classic logics, right? Then, with AlexNet and computer vision, you could do perception with neural nets and the rest with logic. You cannot currently do each of those separately with neural nets, each of those separately with logics, or you can just have one huge neural net that just takes lots of sensory data. It's not just pixels. Could be sound, could be accelerometer, could be everything, as input, and just outputs the controls. And some of the self-driving car companies are doing that or like, experimenting between different ways of doing that. So you can also, like, think about that and the way you implement those features, also influences how much degrees of freedom the system would have, right? Like control, you can do it classical algorithmic control with common filters and PAD filter, PAD controllers, et cetera, or you can do a neural net, that was trained in a gym with a reinforcement learning, et cetera. And those would be two different behaviors of a system.Noah [01:01:53]: I-- Maybe my point was just much more high level. It'Yaroslav [01:01:56]: Or you can If you go even like, if you go high level, you can, you can like train to like have whatever, like Feifei Li and folks who are doing like physical, sortBrandon [01:02:08]: World modelsYaroslav [01:02:08]: World models, right, physical intelligence, they're trying to make these big models and sort of understand the world and then supposedly you have such model and you can tell a drone, “Okay, like, go over that hill and like, find the bad guys and then get them,”or “Make me a video, make me a photo of the guy smiling and get back to me.” Right? That's one way. Another way you have like these subsystems, like one is navigation, another is finding the person, another is like getting to them to take a photo. And those are again, very different behaviors. And then it's not that one is necessarily better than the other, and we might have more technological ability to do one or another. But all of those systems will exist. And then again, you should always keep in mind that it's only the not only the good guys that are developing these systems, the bad guys are developing these systems as well.China's Drone Supply Chain and the West's Manufacturing GapNoah [01:03:00]: I guess where I'm going with this back to Noah's original thought with the end of the end of the soldier. And so in order to replace-Brandon [01:03:10]: Or at least the end of the rifleman.Noah [01:03:11]: Or the end of the rifleman, yeah.Yaroslav [01:03:13]: I'm not seeing that very close, and it was like I'm, as much as I'm a lover of sci-fi and all of that and a technologist, the more I try to beYaroslav [01:03:27]: Like the I try to have certain humility about these things, and like the military, domain and there was just so much human history and blood and tears, dedicated to sort of understanding this art of war and perfecting it and so on. There is so much knowledge in there that I don't feel like I even started to comprehend, a lot of that. But one thing that I really understood is that even though drones are now making eighty percent of the casualties, you go to the actual officers, you talk to the actual, like, brigade commanders, corps commanders, and they explain to you, how all of it fits together, how when you're thinking about an operation that involves a couple thousand people to get this piece of land, out of the enemy's hands, deoccu deoccupy it, how it is so complex, it involves, dozens of different types of drones and then land operations and reconnaissance operations, psychological operations and then aviations and tanks and logistics and all kinds of these different assets. So modern warfare is really very complex, and the fact that the drones are the latest, coolest thing, and then the AI is latest, coolest thing, doesn't mean that now it's that and only that right? So yeah. Whoever's looking into that I think should realize that it's not just what the press talks about, that the reality is much more difficult, much more complex.Brandon [01:05:17]: Let's talk about China and China's manufacturing capabilities. So suppose that someone, like suppose the United States went to war with China. AndYaroslav [01:05:26]: I hope not.Brandon [01:05:27]: I hope not as well. And then but suppose that drones were very essential to that war of all the types of drones that we're talking about here, and that suppose that China said, “All right, well, you need X and Y and Z, to make those drones to fight us, and we control the production of X and Y and Z, so we're just going to cut you right off, and now you have no drones.”Brandon [01:05:47]: I know that a number of countries, including Ukraine and Taiwan, have been making moves to China-proof their drone productions that China couldn't do that. Examples of things they might be able to cut off might include rare earths, fiber optic cable that you were talking about before, various other things that where even if they don't control one hundred percent of the production, they control enough of the production that would be extremely expensive to produce it without relying on Chinese sources. Or the market's fragmented enough, et cetera. What do you see as China's key bottlenecks, and how easy are those to overcome in terms of China-proofing drone production in case of a war against China?Yaroslav [01:06:30]: Let me start with a saying that -Although China does not sell directly to Ukraine and it does sell directly to Russia, a lot of Ukrainian supply chains, they start in China, right?Yaroslav [01:06:49]: We're not in a conflict with China, and we would not want to be in a conflict with China. And we'd hope that China stays a neutral power between Ukraine and Russia and the US as well. That said, the scenario that you're describing, everything is much worse.Yaroslav [01:07:11]: Think about this. Last year, Ukraine produced four million FPV drones. Ukraine is not the most industrious nation in the world.Yaroslav [01:07:19]: China can produce four billion of these FPV drones.Yaroslav [01:07:23]: China can make them not drones with propellers, but fixed-wing drones, which go not forty kilometers far, but maybe two to three hundred kilometers inland.

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

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

In dieser Folge von BierTalk geht's über den Atlantik nach Kanada – genauer gesagt nach Paris, Ontario (ja, wirklich Paris!). Markus trifft dort Christian Riemerschmid von der Heide: Braumeister, Beerjudge, Biersommelier – und ein Mensch, der gefühlt gleich mehrere Leben parallel führt. Vom bayerischen Bauernhof über internationale Stationen bei großen Brauereien bis hin zu seinem heutigen Alltag zwischen Farm, Honig, Cider und eigener Brauerei. Gemeinsam sprechen die beiden darüber, wie man Bier mit Herkunft und Bedeutung füllt: mit Trauben-Hybriden im Holzfass, mit einem ungewöhnlichen glutenfreien Bier aus afrikanisch inspirierten Rohstoffen, mit einem Weißbier, das dank Honig und einem Hauch Minze plötzlich eine ganz neue Dimension bekommt – und natürlich auch mit Rauch, denn ein Smoked Porter darf für Markus nicht fehlen. Eine Folge voller Geschichten, Weltblick und Bierideen, die man so nicht jeden Tag hört...

Gamers GO to the Movies #19: Mortal Kombat II (2026) - https://youtu.be/bkyorXIDSeA Podlord Song: https://youtu.be/6p-Gfyhlc2g?list=RD6p-Gfyhlc2g Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #sega #SuperGame #GamingNews

Never join a cult designed for 144,000 people. In this one, Ian and Liv talk about a shockingly recent cult, where the leader was not only a crazy white lady, but also an alcoholic, conspiracy theorist, and an abusive thief. Her followers were tricked into giving everything they owned,and it was all for the false promise of taking up residency in the 5th Dimension with Robin Williams, Jesus Christ, Whitney Houston, Buddha, and Trump. Clearly, this is all very legitimate. Also, Liv endorses pickle ball. Ian aspires to be a Babylonian whore. Dakota thinks this is all bullshit.

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

Video Version: https://youtu.be/-hy_2WNhuOM Gamers Go to the Movies: Mortal Kombat (2021) - https://youtu.be/cLthNA-rleI Peppy Joe Biden art by: https://bsky.app/profile/spadoinkle.net Podlord Song: https://youtu.be/6p-Gfyhlc2g?list=RD6p-Gfyhlc2g Industry Burning Down Song: https://youtu.be/6XJmalxng0Q Become a podlord or normal patron today! http://www.patreon.com/GBPodcasts RSS Feed: https://gbpods.podbean.com/ Follow GB (Noel) on BlueSky! https://bsky.app/profile/gigaboots.com Kris' BlueSky: https://bsky.app/profile/kriswolfhe.art.social Dr. Aggro's BlueSky: https://bsky.app/profile/draggro.bsky.social Bob's BlueSky: https://bsky.app/profile/gigabob.bsky.social GB Main Patreon: http://www.patreon.com/gigaboots GB Fan Discord: https://discord.gg/XAGcxBk #StarFox64 #Starfox #DevilMayCry2