Podcasts about Rainer

Kapitel 17Der Gefangen Frosch Mills wird unter strengsten Sicherheitsmassnahmen nach Scotland Yard zum Verhör gebracht. Aber alle Vorsicht zum Trotz wird er mit Blausäure vergiftet bevor er aussagen kann. Dick und Elk sind ratlos. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Gebet kann vieles sein – kraftvoll, herausfordernd, tief bewegend oder manchmal auch einfach nur ehrlich und unspektakulär. Viele Fragen begleiten uns dabei: Warum sollte ich überhaupt beten? Gibt es ein „richtiges“ Gebet? Was mache ich, wenn ich Gott gerade nicht spüre? Und brauche ich eigentlich Musik, um in die Gegenwart Gottes zu kommen? In dieser Serie entdecken wir die Kraft des Gebets neu. Nicht als religiöse Pflichtübung oder geistliche Technik, sondern als lebendige Beziehung zwischen Gott, unserem Vater, und uns als seinen Kindern. Dabei schauen wir auf die theologischen Grundlagen des Gebets und erleben gleichzeitig, dass Gebet weit mehr ist als Theorie: Es ist Begegnung. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.icf-reutlingen.de⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Celebrations in Reutlingen jeweils um 11 und 17 Uhr Weitere Locations in Balingen und Münsingen jeweils um 11 Uhr

Pöllmann, Rainer www.deutschlandfunkkultur.de, Fazit

Kapitel 16Dick hat alle überrascht mit seinem geheimen Froschklopfzeichen - und er bringt noch mehr Unruhe rein, als der Ray sagt, dass Lola und Lew verheiratet sind. Der Junge ist komplett verwirrt und Lola möchte zur Beruhigung aller einen Tische bestellen, als ihr der Abhörapparat am Telefon auffällt. Elk muss diese Informationsquelle als verloren betrachten, findet dafür aber den gestohlenen Vertrag von Lord Farmley. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Kapitel 15Am nächsten Morgen wacht ein verkaterter Ray Bennet auf und findet seine Schwester in seiner Wohnung, die ihn bittet nach Hause zu kommen. Kurz darauf tauchen Lola und Lew auf, die natürlich das Gegenteil wollen. Dann klopft es an der Tür und alle erstarren. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Armin tut sich schwer damit, zu akzeptieren, dass er hinsichtlich seiner Wächter-Aufgabe belogen wurde, und steckt in einer echten Sinnkrise. Miguel und Rainer versuchen mit allen Mitteln, ihn zu einem Neuanfang zu überreden.Du hörst die Kerkerkumpels, das Pen & Paper Hörspiel. Die Geschichte, die du hörst, ist live improvisiert. Ob unseren Charakteren eine Aktion gelingt, entscheiden die Würfel!Intro/Outro:Anamalie by Kevin MacLeodLink: https://filmmusic.io/song/4980-anamalieLicense: https://filmmusic.io/standard-licenseSprecherin: Carolin SabathSound- & Musikquellen:"Awakenings (Music Only)" by tabletopaudio.com"A New Beginning (Music Only)" by tabletopaudio.com"Bloodgate" by tabletopaudio.com"Fire Dance (Music Only)" by tabletopaudio.com"Steampunk Station" by tabletopaudio.comAll sounds from tabletopaudio.com are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).Mehr Infos zu unseren Aktionen und Werbepartnern findest du auf https://kerkerkumpels.de/links/aktionen/Unsere allgemeinen Datenschutzrichtlinien finden Sie unter https://art19.com/privacy. Die Datenschutzrichtlinien für Kalifornien sind unter https://art19.com/privacy#do-not-sell-my-info abrufbar.

Kapitel 14Und wieder ist Joshua Broad dabei - er kann Elk und Gordon aber nicht viel sagen. Sie finden aber Hinweise auf Nummer 7 und die Ankündigung einer Nachricht für alle Offiziere der Frösche. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Kapitel 13Eine Razzia macht dem bunten Treiben im Klub ein Ende. Elk findet zwar nur Hinweise darauf, das Hagn sich verkleidet hat, aber ein Zettel verrät ihnen, wohin er wahrscheinlich gibt. Ins Haus von Ezra Maitland. Die dortige Untersuchung bringt einen Verbindungsgang zwischen 10 Häusern zu Tage, durch den ihnen Nummer 7 wohl entwischt ist. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

No.2 prospect in the Detroit Tigers system and current West Michigan Whitecap Bryce Rainer joins the show to talk about his development and time with the organization. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Kapitel 12Zur Ablenkung besucht Dick das Konzert eines berühmten Violinisten und zu seiner grossen Überraschung erscheint Ezra Maitland in einer teuren Limousine und sehr elegant und teuer gekleidet. Nach dem Konzert folgen sie dem Verwandelten in den Herons Klub, in dem sich interessante Dinge ereignen. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Der NATO-Gipfel in Ankara – Viel Applaus, wenig SubstanzWie westliche Regierungen und Medien einen Erfolg feiern, während die Glaubwürdigkeit der Allianz schwindet.Ein Kommentar von Rainer Rupp.Der NATO-Gipfel in Ankara endete mit der einhelligen Einschätzung der Staats- und Regierungschefs, dass das Treffen ein bedeutendes Zeichen für die Geschlossenheit des Bündnisses und einen erneuerten Gestaltungswillen gesetzt habe. Trotz unterschiedlicher nationaler Prioritäten und früherer Sorgen um den transatlantischen Zusammenhalt betonten die Regierungschefs, der Gipfel habe die gemeinsame Entschlossenheit der NATO gestärkt und konkrete Fortschritte bei der Abschreckung Russlands und der Verteidigung und Unterstützung der Ukraine erzielt.NATO-Generalsekretär Mark Rutte, dessen Schleimspur aus Unterwürfigkeit und Huldigungen von Trump sich quer durch den NATO-Gipfel zog, bezeichnete das Treffen als einen „außerordentlich erfolgreichen“ Gipfel. Er hob hervor, dass das Bündnis den Übergang von ehrgeizigen Zielsetzungen zur konkreten Umsetzung geschafft habe. Steigende Verteidigungsausgaben, der Ausbau der Rüstungsproduktion sowie die wachsende Bereitschaft der europäischen Verbündeten und Kanadas, mehr Verantwortung für die gemeinsame Sicherheit für den gemeinsam geplanten Krieg gegen Russland zu übernehmen. So fasste Rutte die Botschaft des Gipfels mit den Worten zusammen:US-Präsident Donald Trump bewertete den Gipfel ebenfalls positiv. Er erklärte, die Gespräche mit den Verbündeten seien von „viel gegenseitiger Wertschätzung“ geprägt gewesen, womit er nur die Huldigungen und Bewunderungsorgien bezüglich seiner Person gemeint haben kann, denn dem größten US-Präsidenten aller Zeiten käme sowas wie eine Wertschätzung seiner Vasallen nicht über die Lippen. Zur unendlichen Erleichterung seiner Vasallen bekräftigte Trump sein Bekenntnis zum Grundsatz von Artikel 5, d.h. der kollektiven Verteidigung der NordAtlantischen TerrorOrganisation (NATO).Besonders hervorgehoben wurden neue Verpflichtungen zum Ausbau militärischer Fähigkeiten und der Rüstungskooperation sowie die Zusage langfristiger militärischer Unterstützung für die Ukraine. An letzterer hat sich Trump jedoch nicht beteiligt. Er hat lediglich zugesichert, dass er, wenn die Europäer bezahlen, Waffen liefern wird, die dann von den Europäern an die Ukraine weitergereicht, bzw. verschenkt werden könnenTrotz fortbestehender Meinungsverschiedenheiten in einzelnen geopolitischen Fragen begrüßte Trump die höheren europäischen Verteidigungsausgaben, die hauptsächlich in die Taschen der US-Rüstungskonzerne fließen, und mit Blick auf die wichtigen Zwischenwahlen für den US-Kongress die Konzerne zu großzügigen Spenden für Trump und seine Republikaner ermuntern. Im Herbst steht ein Drittel der Sitze im US-Senat zur Wiederwahl und hundert Prozent der Sitze des Repräsentantenhauses. Vor diesem Hintergrund bezeichnete auch Trump das Treffen in Ankara als Erfolg, der eine gerechtere Lastenteilung innerhalb des Bündnisses belege.Derweil werden Trumps Stiefellecker unter den europäischen Staats- und Regierungschefs (das sind fast alle) nicht müde, triumphierend das „unerschütterliche Bekenntnis“ der Bündnispartner zur kollektiven Verteidigung auf dem Gipfel in Ankara in den geneigten Medien zu feiern und zu bekräftigen:Zugleich betonen sie weiter die Lüge, dass NATO-Einheit, Solidarität und gemeinsame Stärke weiterhin das Fundament von Frieden und Sicherheit für die rund eine Milliarde Bürgerinnen und Bürger des Bündnisses bilden. Damit wird versucht – allerdings vergeblich - der Welt den Ankara-Gipfel als Beweis für eine geschlossene und entschlossene Allianz zu präsentieren, trotz aller fundamental entgegengesetzter Interessen in vielen Mitgliedstaaten.„Die NATO liefert.“„Ein Angriff auf einen ist ein Angriff auf alle.“...https://apolut.net/der-nato-gipfel-trump-fuhrt-europa-folgt-von-rainer-rupp/

No.2 prospect in the Detroit Tigers system and current West Michigan Whitecap Bryce Rainer joins the show to talk about his development and time with the organization. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Brandes, Rainer www.deutschlandfunk.de, Informationen am Abend

Brandes, Rainer www.deutschlandfunk.de, Informationen am Abend

Kryptowährungen wirken auf viele Menschen noch immer kompliziert, riskant oder weit entfernt vom eigenen Alltag. Rainer Gellrich zeigt im Interview, wie er selbst als Quereinsteiger den Zugang zur Krypto-Welt gefunden hat – und warum finanzielle Bildung heute wichtiger denn je ist. Es geht um Inflation, digitale Vermögenswerte, Dezentralität, Blockchain, den digitalen Euro und die Frage, wie Menschen selbstbestimmter mit ihrem Geld umgehen können. Das Gespräch macht deutlich: Wer sich frühzeitig mit Krypto beschäftigt, kann Berührungsängste abbauen und neue Möglichkeiten für Vermögensaufbau und finanzielle Eigenverantwortung entdecken.Rainer Gellrich ist Krypto-Experte und begleitet Menschen dabei, die Grundlagen digitaler Währungen besser zu verstehen. Aus eigener Erfahrung weiß er, wie groß die Hemmschwelle am Anfang sein kann – und wie wichtig verständliche Begleitung ist. Sein Ansatz: Menschen an die Hand nehmen, Wissen vermitteln und Orientierung geben, damit sie Chancen, Risiken und konkrete Anwendungen im Bereich Kryptowährungen fundierter einschätzen können. Hosted on Acast. See acast.com/privacy for more information.

Kapitel 11Litnow ist tot, aber es gelingt der Polizei einiger Frösche habhaft zu werden und Informationen von ihnen zu bekommen. Später erfahren wir einiges über das Leben von Joshua Broad. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Kapitel 10Dick lässt Elk dringend zu sich rufen und der Inspektor macht sich sofort auf den Weg. Er merkt allerdings schnell, dass das eine Falle für ihn ist und dreht den Spiess um. Durch genaue Beobachtung und Erfahrung kann Elk sogar noch mehr erfahren und weitere Frösche gefangen nehmen. Vorgelesen von Rainer Schuppe; aufgenommen und bearbeitet im Coworking Space Rayaworx, Santanyí, Mallorca.

Marisa ist blind. An ihrer Seite läuft der weiße Königspudel Rainer, ihr Blindenführhund. Gemeinsam bewegen sie sich durch Parks, Straßen, Märkte, Geschäfte, kurzum: durch das Leben. "Rechts, voran, such Weg!" - Marisas Hörzeichen an Rainer ermöglichen beiden, sich durch das akustische Geflecht aus Verkehrsströmen, Schritten, Stimmen und Bahnansagen zu navigieren. Es ist eine Welt, deren Elemente ständig in Bewegung sind: Baustellen verschließen Laufwege, E-Roller blockieren Eingänge, wo gestern noch ein Durchgang war, stehen heute Fahrräder. Die beiden haben ein präzises Zusammenspiel aus Kommunikation und Vertrauen entwickelt. Im Zentrum dieses O-Ton-Features steht ihre Beziehung zueinander und die Frage, wie Orientierung jenseits des Sehens funktionieren kann. Gleichzeitig erzählt das Stück Marisas Geschichte - von ihrer Erblindung, ihrem Alltag, ihrer Identität als Frau und Mutter und davon, dass fast alles möglich bleibt, auch wenn das Sehen nicht mehr möglich ist - denn Marisa sagt: "Ich bin nur so weit behindert, wie ich behindert werde." Auch Rainer wird hörbar in diesem Feature - als gleichwertiger Protagonist an Marisas Seite.

KI-Rechenzentren sind ohne Gaskraftwerke kaum zu betreiben, die Lobby fordert darum Umweltschutzlockerungen in der EU. Außerdem: Smartphones als Frühwarnsystem bei Erdbeben. Und: Robotaxis kommen nach Europa. Rehak, Rainer; Linß, Vera; Behme, Pia; Zinkann, Marie; Terschüren, Hagen www.deutschlandfunkkultur.de, Breitband

Mõistagi, täna räägime sellest, et uus PlayStation ja uus Xbox tulevad ilma plaadilugejata ja ilma füüsiliste mängudeta. Miks, kuidas ja mis edasi? GTA VI ka ju plaadil ei tule. Neil mõlemal on uudiseid veel, Xboxi maja on ootamas ees väga suur koondamine ja vähemaks jääb kindlasti ka stuudiod, Sony rapib ka Bungie't. Uus Xbox läheb kallimaks ja üle, häid uudiseid eriti pole. Martin on läbi mänginud Zero Parades: For Dead Spiesi ja on peaaegu läbi teinud 007 First Lighti, Rainer tegi väga kiiresti läbi Star Foxi ja Rein on mänginud The Long Darki. Soovituseks on Steami suur suvemüük. Lingid: https://www.eurogamer.net/video-game-collector-edition-collateral-damage https://www.eurogamer.net/the-internet-reacts-to-playstation-killing-off-physical-media https://www.eurogamer.net/ps3-vita-stores-end-support-sony https://www.eurogamer.net/ps6-bill-of-materials-cost-1000-usd-insider-report https://www.eurogamer.net/bungie-sony-layoffs-destiny-2-marathon https://www.eurogamer.net/xbox-project-helix-no-disc-drive-reports https://www.eurogamer.net/arkane-may-be-shuttered-blade-cancelled-xbox-layoffs https://www.eurogamer.net/microsoft-xbox-game-pass-deals https://www.eurogamer.net/xbox-major-price-increases https://www.hollywoodreporter.com/business/business-news/grand-theft-auto-vi-digital-only-no-disc-rip-physical-media-1236629695/ https://www.eurogamer.net/meccha-chameleon-10-million-sales https://www.eurogamer.net/onimusha-way-of-the-sword-new-release-date

Die Maske ergreift vom Körper des Doktors Besitz und eine scheinbar allmächtige Entität droht, unseren Helden den Garaus zu machen. Miguel und Rainer führen einen irrwitzigen Plan durch – machen damit aber alles nur noch schlimmer.Du hörst die Kerkerkumpels, das Pen & Paper Hörspiel. Die Geschichte, die du hörst, ist live improvisiert. Ob unseren Charakteren eine Aktion gelingt, entscheiden die Würfel!Intro/Outro:Anamalie by Kevin MacLeodLink: https://filmmusic.io/song/4980-anamalieLicense: https://filmmusic.io/standard-licenseSprecherin: Carolin SabathSound- & Musikquellen:"Demon Army (Music Only)" by tabletopaudio.com"Heart: Absolution" by tabletopaudio.com"Jungle Shaman (Ambience Only)" by tabletopaudio.com"Neon Drive" by tabletopaudio.com"Shrine of Talos" by tabletopaudio.com"The Verdant Dark" by tabletopaudio.comAll sounds from tabletopaudio.com are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).Mehr Infos zu unseren Aktionen und Werbepartnern findest du auf https://kerkerkumpels.de/links/aktionen/Unsere allgemeinen Datenschutzrichtlinien finden Sie unter https://art19.com/privacy. Die Datenschutzrichtlinien für Kalifornien sind unter https://art19.com/privacy#do-not-sell-my-info abrufbar.

Paul Ronzheimer spricht mit dem langjährigen ZEIT-Verleger Rainer Esser über das schwindende Vertrauen in Medien, Fehler der Berichterstattung und die Zukunft des Journalismus.

Brandes, Rainer www.deutschlandfunk.de, Interviews

Noch nie zuvor war es in einem Juni in Deutschland so heiß wie in diesem Jahr. Ein Grund: Natürliche Kühlungseffekte im Frühsommer sind nicht mehr so stark wie früher, sagt Andreas Becker vom Deutschen Wetterdienst. Die Ursache dafür ist eindeutig. Brandes, Rainer www.deutschlandfunk.de, Interviews

Brandes, Rainer www.deutschlandfunk.de, Interviews

Eesti mängude kuu on selleks korraks jõudnud lõpule ja täna on külas Mari-Anna Lepasson, kes räägib 2025 aasta Eesti mänguks valitud Korter 1996'st.  Uudistes saame lõpuks teada kui palju maksavad GTA 6 ja Steam Machine ning mis nad endaga kaasa toovad.  Rein läbib the Long Darki antoloogiat meenutavat üksikmängu ja Rainer oli sunnitud vaatama, mida teevad Burnouti tegijad praegu. Teemad: 00:00:00 - Intro 00:07:12 - Intervjuu Mari-Anna Lepassoniga 00:58:07- Uudised 01:29:17 - Retro 01:32:50 - Mängitud 01:45:16 - Outro   Lingid: https://store.steampowered.com/app/3086500/Korter_1996/ https://korter1996.neocities.org/ https://www.ign.com/articles/grand-theft-auto-6-physical-copies-wont-include-a-disc-will-just-be-a-code-in-a-box https://gamestar.ee/tooted/ps5-grand-theft-auto-6-t80424 https://www.eurogamer.net/gta-6-single-player-at-launch-gta-online https://store.steampowered.com/hardware/steammachine https://www.eurogamer.net/steam-machine-linux-steamos-anti-cheat-unplayable-games-list https://www.eurogamer.net/steam-controller-reservation-update-high-demand https://www.eurogamer.net/doom-composer-bobby-prince-dies https://techcrunch.com/2026/06/21/ubisoft-co-founder-claude-guillemot-dies-in-plane-crash/ https://www.eurogamer.net/call-of-duty-nicolas-cage-black-ops-7-warzone-skin-season-4

Hörspiel-Klassiker. Eine leidenschaftliche Liebe in New York wird dem Urteil eines mystischen Gottes unterzogen. Ingeborg Bachmanns preisgekröntes Hörspiel zeigt die Unvereinbarkeit tiefer Gefühle mit einer rationalen Welt – poetisch, kritisch und zeitlos aktuell. Der gute Gott von Manhattan ist angeklagt, das Mädchen Jennifer im Zimmer eines New Yorker Hotels durch eine Bombenexplosion ermordet zu haben. Dem Richter erklärt er, er habe sich mit dieser Tat, und auch allen vorhergegangenen, nur zum Anwalt der auf Konventionen und Masshalten beruhenden Weltordnung gemacht. Diese sei durch die Masslosigkeit der Liebe der Getöteten bedroht worden. Er erzählt die Geschichte der Liebe Jennifers zu Jan, um darzulegen, dass diese Liebe, die an nichts mehr gemessen und mit nichts mehr verglichen werden konnte, verderblicher für die Ordnung sei als jedes Verbrechen, als alle Ketzereien. «Wo Liebe auftaucht, entsteht ein Wirbel wie vor dem ersten Schöpfungstag.» ____________________ Mit: Hanns Ernst Jäger (Der gute Gott), Alfons Hoffmann (Richter), Rainer zur Linde (Jan), Gudrun Herms (Jennifer), Otwin Kühlhorn (Eichhörnchen Billy), Susi Aeberhard (Eichhörnchen Franki), Paul Felix Binz (Gerichtsdiener), Ursula Streuli (Zigeunerin), Hans-Günther Müller (Bettler) u.v.a. ____________________ Musik: Willy Bischof – Tontechnik: Helmut Dimmig – Regie: Klaus W. Leonhard ____________________ Produktion: SRF 1971 ____________________ Dauer: 101'

Hörspiel-Klassiker und ein Stück Radiogeschichte: Ingeborg Bachmanns erstes Hörspiel, verfasst um 1950. Nach Feierabend gerät der Angestellte Laurenz in ein Geschäft, in dem es Träume zu kaufen gibt. Träume, in denen man die Wünsche und Nöte, die Ängste und Hoffnungen des Alltags kompensieren kann. Laurenz, eine gründliche, penible Natur, dienstbeflissen und angepasst an die Wünsche seiner Kollegen und Vorgesetzten, erlebt in den Träumen sein eigenes Dasein so, wie ein Kinogänger Filme erlebt – als überhöhte Spiegelungen seines eigenen Daseins. Erst im dritten Traum erkennt er sich wieder. Doch was er hier wagt, das verwehrt er sich im Alltagsleben: Er gesteht seiner Bürokollegin Anna seine Liebe. ____________________ Mit: Ralf Schermuly (Laurenz), Herlinde Latzko (Anna), Wolfgang Hiller (Mandl), Walter Oberhuber (Nowak), Hans-Günther Müller (Generaldirektor), Klaus Seidel (Verkäufer), Günter Gube (Drehorgelmann), Rainer zur Linde (Matrose), Michael Schacht (Funker), Siegfried Meisner (Schiffsoffizier) ____________________ Musik: Willy Bischof – Tontechnik: Helmut Dimmig – Regie: Klaus W. Leonhard ____________________ Produktion: SRF 1977 ____________________ Dauer: 58'

"Spielplatz PC", das ist das Motto dieser Ausgabe des FM4 Game Podcast mit Rainer Sigl und Robert Glashüttner. Anlass ist die Enthüllung der Steam Machine von Valve, des Hybridgeräts zwischen fertigem PC und Spielkonsole, das die beiden ausführlich analysieren. Danach gibt es ein Fazit zum und die Höhepunkte vom Steam Next Fest aus der Vorwoche. Erwähnt werden Over the Hill, Bombanana, Iron Nest: Heavy Turret Simulator, XenoFeels, Valor Mortis und Fractured Blooms. Außerdem sprechen Robert und Rainer über Neuigkeiten in der populären Unreal Engine und was das mit KI zu tun hat. Die Games-Empfehlung der Woche ist das ulkige Adventure-Game "Crushed in Time" (fm4.orf.at/story/crushed-in-time-100).Sendungshinweis: FM4 Game Podcast, 25. Juni 2026, 0-1 Uhr (Folge #208).

Wie viele weiße Steppjacken besitzt Rainer Langhans? Wie fühlt sich ein leerer Magen an? Kann man ohne Besitz in München leben? Ist Wohlstand eine Krankheit? In der zehnten Folge erklärt Christa Ritter im Gespräch mit Suse und Hajo Schumacher, warum ihr das Ein-Zimmer-Appartment reicht, weshalb das System ein Monster und Bescheidenheit eine Gewöhnungssache ist? Weitere Themen: Matjes satt und Finger in den Hals. Rainer sitzt an der Nähmaschine. Das Experiment mit dem Ur-Marxismus. Nepal-Klamotten halten auch nicht ewig. Wie wird man immun gegen die kapitalistische Verführung? Plus: Und immer wieder Selbstrevolution. Staffel 2, Folge 51.Worum geht es bei Christas Reise?Christa Ritter ist Mitte 30 und Partygirl. Dann trifft sie Rainer Langhans, Deutschlands bekanntesten Hippie. Und ändert ihr Leben radikal. Sie wird Haremsdame in Rainers Münchner Kommune. Meditieren statt Kiffen, Tischtennis statt Tantra. Das war vor 50 Jahren. Jetzt ist Christa Mitte 80 und blickt zurück auf ein Leben im verrücktesten Sozialexperiment der Republik. Wie war das mit Neid, Wut und Uschi Obermaier? Christas Reise - mutiges Leben in elf Etappen. Ein Spezial vom MutmachPodcast. Mit Suse und Hajo Schumacher. Und natürlich mit Christa Ritter. Das Spezial: Jeden Donnerstag im Mutmachpodcast.Wir bedanken uns bei Markus C. Hurek für das tolle Coverfoto. Hosted on Acast. See acast.com/privacy for more information.

In this episode, we explore how AI is transforming education, from classrooms to corporate training. What changes are needed in schools and universities? How does AI affect both students and educators? And how should companies rethink internal training and hiring to stay competitive?To answer these questions, we're joined by Rainer Stropek, CEO of Software Architects and Chairman of Coding Club Linz. With decades of experience teaching at high schools and universities—and helping organizations upskill their engineers—Rainer brings a unique perspective on how software engineering education is evolving.While many view AI as a threat, Rainer sees it as a “Christmas gift”—opening up endless opportunities to learn, adapt, and innovate.Tune in to hear why curiosity is more important than ever, how educational institutions can prepare future engineers, and why organizations must step up to ensure everyone has a fair chance to succeed in the age of AI.Links we discussedRainer's LinkedIn Profile: https://www.linkedin.com/in/rainerstropek/Rainer's Website: https://rainerstropek.me/CodeClub: https://codeclub.org/en/Coder DoJo Linz: https://linz.coderdojo.net/

Brandes, Rainer www.deutschlandfunk.de, Das war der Tag

Moritz, Rainer www.deutschlandfunkkultur.de, Studio 9

Moritz, Rainer www.deutschlandfunkkultur.de, Studio 9

Moritz, Rainer www.deutschlandfunkkultur.de, Studio 9

Eesti mängude kuu jätkub! Andri Allas on küll korduvalt saates käinud, aga see kord on esimene, kui räägime tema arendatavast mängust Grannies on Wheels! Saame teada, kuidas mäng sai alguse, mis on tulevikuplaanid ja mis on Andri lemmikmoos. Natuke tuleb juttu ka MängudeÖÖ'st ja selle aasta Steam Next Festist.  Peale Eesti teemade peame jätkama ka Xboxi arusaamatute käikudega ning vaatame, mida tähendab täpsemalt uus Unreali mängumootor. Rein sai lõpuks jagu ka Sarosest ja Rainer 007 First Lightist. Ja mis täpsemalt on Boxroom? Teemad: 00:00:00 - Intro 00:06:27 - Intervjuu Andri Allasega 00:55:11 - Uudised 01:15:44 - Retro 01:20:24 - Mängitud 01:35:16 - Outro Lingid:  https://store.steampowered.com/app/3950840/Grannies_on_Wheels/ https://mangudeoo.ee/ https://www.eurogamer.net/compulsion-double-fine-ninja-theory-xbox-studio-closures-report https://www.eurogamer.net/xbox-game-studios-craig-duncan-leaves-company https://www.eurogamer.net/xbox-layoffs-business-reset https://www.gamesindustry.biz/everything-you-need-to-know-from-state-of-unreal-2026-unreal-engine-6-unreal-engine-58-and-1bn-paid-to-fortnite-devs https://www.eurogamer.net/battlefield-hardline-server-shutdown-xbox-playstation-date

Brandes, Rainer www.deutschlandfunk.de, Das war der Tag

Wolf, Marcus www.deutschlandfunk.de, Wirtschaft und Gesellschaft

Brandes, Rainer www.deutschlandfunk.de, Das war der Tag

Last 4 days before regular tickets sell out at AI Engineer World's Fair - this is the single biggest gathering of AI Engineers, Founders, Leaders, and Researchers in the world. Attendees get >$5000 worth of sponsor credits and talk tracks are looking FANTASTIC. Join us!The AI scaling debate always focuses on the question of “how do we get more GPUs?” but the better question may be: how do we make the most of ones we already have.The fact that a frontier lab like xAI could be running at sub-10% MFU (Model FLOPs Utilization) is just a hint at what the real problem may be.For context, older frontier-scale training runs were already much higher than 10%. GPT-3 was around 21% MFU. Gopher was around 32%. Megatron-Turing NLG was around 30%. PaLM reached around 46%. And our guest Anjney says best-in-class MFU today is closer to 60–70%.It's not necessarily that xAI is uniquely incompetent (it's clear they have talented folks) but rather the priorities may be flipped in the GPU arms race.While GPU access is a bottleneck, simply increasing CapEx won't automatically translate to better models as frontier AI is increasingly a systems problem: scheduling, utilization, networking, kernels, frameworks, data pipelines, parallelism, cluster reliability, and the thousand small decisions that determine whether your theoretical FLOPs become real training progress.From building Discord's developer platform and backing frontier AI companies like Anthropic, Mistral, Black Forest Labs, and Periodic Labs to now building AMP's independent compute grid, Anjney Midha has spent years close to the real bottlenecks of AI scaling. In this episode, Anjney joins swyx at Periodic Labs to unpack why the AI race is not just about buying more GPUs, why 95% utilization would have been considered an outage at Google, and why the next era of AI infrastructure has to be more aligned, more efficient, and more responsible.We go deep on AMP's vision for a compute grid that makes FLOPs flow like megawatts, the difference between full-stack AI labs and horizontal pooling, why AI data centers need community buy-in, and how compute markets could evolve into something closer to an independent system operator. Anjney also explains why DeepMind's unpublished research points to a market failure, why end-of-life prediction remains one of the most important AI applications he has thought about for fourteen years, and why “output maxing” may become a new discipline for frontier systems.We also discuss Anthropic's culture, why “luck favors the prepared mind” in coding models, how Claude cracked coding, why too much capital too early can make AI labs fragile, what Periodic Labs is trying to do with science and superconductors, why great researchers can become great CEOs, and why Silicon Valley is both deeply missionary and deeply mercenary.We discuss:* Why 95% utilization was considered an outage at Google* Why AI infrastructure waste compounds at frontier-lab scale* Why “move fast and break things” does not work for AI data centers* How data center backlash, power grids, and community incentives shape AI scaling* AMP's vision for making FLOPs flow like megawatts* Why compute needs an independent system operator* How interruptible demand and dynamic prioritization worked inside Google* Why DeepMind research hoarding creates negative externalities* AMP's 1.2GW base-load ambition and the need for 6GW of spike capacity* Why end-of-life prediction could become one of AI's most important healthcare applications* Frontier Systems, output maxing, and full-stack alignment* Why APIs and abstraction layers become lossy as organizations scale* Superconductors, standards, and the dream of lossless systems* SF Compute, open protocols, and the future of compute marketplaces* Why non-NVIDIA chips can still benefit from NVIDIA's reference architecture* Trust boundaries and why chip startups need visibility into future model architectures* Why VCs often underestimate researchers as CEOs* Scientists as star athletes of the mind* Why great CEOs need to be confrontational up and down the stack* Why leading the frontier matters more than “winning”* How Anthropic cracked coding* Why culture is fragile, not a permanent moat* Why hardship was a feature, not a bug, for Anthropic* Why Anthropic's P0 was coding from day one* Periodic Labs, physics as the constraint, and technical reality* Silicon Valley mercenaries, missionary teams, and what happens after a breakthroughAnjney Midha* LinkedIn: https://www.linkedin.com/in/anjney* X: https://x.com/AnjneyMidhaAMP PBC* Website: https://amppublic.com/* X: https://x.com/amppublicTimestamps00:00:00 Introduction00:00:09 Why AI Compute Is Being Wasted00:03:17 Responsible Infrastructure and Data Center Backlash00:06:07 AMP Grid: Making FLOPs Flow Like Megawatts00:12:41 Foundry, Frontier Labs, and Research Hoarding00:14:42 Gigawatt-Scale Compute and End-of-Life Prediction00:24:08 Frontier Systems, Output Maxing, and Alignment00:27:38 Compute Markets, SF Compute, and Non-NVIDIA Chips00:32:57 Trust Boundaries, Co-Design, and Researcher CEOs00:38:17 AI Coachella and First-Principles Thinking00:42:43 Leading vs Winning in Frontier AI00:45:54 How Anthropic Cracked Coding00:48:25 Culture, Hardship, and Anthropic's P000:54:03 Periodic Labs, Physics, and Silicon Valley Mercenaries00:56:26 Rishi Valley, Singapore, and Money as a Measure00:58:47 Closing ThoughtsTranscriptIntroduction: Anjney Midha, AMP, and Compute WasteSwyx [00:00:00]: We're in Periodic Labs with Anjney Midha, CEO, founder of AMP. Welcome.Compute Utilization: Node Allocation, MFU, and AlignmentAnjney [00:00:09]: Thanks for having me. At Google, there are two types of utilization usually, right? That you're measuring in these clusters. One is node allocation, and then the other's MFU. Node utilization is usually like what percentage of cards in the data center are just, used, and that, if it's not at, 95%-Swyx [00:00:29]: There is no excuseAnjney [00:00:29]: There's no excuse, right? I think 95% at Google, which is where my co-founder, Seb, came from, he built the Borg, PBorg/GQM scheduler at Google, and there I think 95% was considered an outage, so 96% node utilization is, should be standard. And most single-tenant clusters are not running at that. So that's one. And then MFU should be, I would say the best in class today is somewhere between 60 and 70%. I think this is a leadership question, right? Fundamentally it's an alignment question, which is are the people who are funding the cluster and then deploying the cluster actually aligned? And sometimes theoretically they are, but in practice the number of people in the chain, the supply chain between, the capital and all the way to whoever's managing the cluster and then whoever's measuring what the output is, are just so many, degrees of separation away that, the, The Have you ever heard the radian metaphor, which is at the beginning of an arc, if you have two arcs that are two lines that are just off by a few degrees, that-Swyx [00:01:33]: It spreads outAnjney [00:01:34]: It spreads out, right? Or at scale. And I think what's happening is a lot of cluster implementations and infrastructure, a lot of frontier labs and other teams, that's what's happening, is they're, they initialize the plan, which is kind of like North Star with a team that wants to do good, but then they're, required to scale so fast instead of iteratively that the wastage just compounds really fast at scale. And so I think we know the answer, which is just do iterative bring ups. If you spend time with people who've been in the semiconductor industry or the DSN industry for a long time, this is not new, and I don't think AI should be an excuse. Sure. Something What is new? Okay. We have a lot of new capabilities, but that doesn't mean just abandon common sense. Common sense should always be in fashion. ? AI scaling doesn't change the in fact, if anything, AI scaling should be putting a premium on the value of common sense and infrastructure because the margin of error now is so much lower and the costs of wastage are so much higher. And the cost of wastage, by the way, is not just economic. I'm, obviously I'm, I'm an investor, or I'm an investor by background. Over the last few years now we're running an AI infrastructure business called, AMP. And I think that it's okay to say this time is different on the capabilities front. We are genuinely getting capabilities at, of the, of a kind we haven't had before. That doesn't give you an excuse to say this time is different for everything, especially infrastructure. So look, I love the hacker mindset and the hustler mindset. Now, that's great for the startup mindset, but you remember this moment where Zuck went from saying, “Move fast, break things” to, move-Responsible Infrastructure and Data Center BacklashSwyx [00:03:10]: Fast and stable infrastructureAnjney [00:03:11]: Move fast with stable infrastructure. I think now we need to move fast with, responsible infrastructure. People are going to ask where the impact is. There was a really In our class yesterday, Scott Nolan, who's the founder of General Matter, came by at Stanford to speak about energy bottlenecks. And he had a phenomenal idea. He said, “if you look at the marginal unit economics of compute per hour,” he goes, “let's call it, $4 an hour. If you're having to bring up a new data center in a new community, why not just say we're going to charge 4.50 an hour, and that marginal impact or that marginal increase, we just literally take that and give it to the local community as cash?” I can tell you as a customer of that compute, I would love that. I'd be happy to pay an additional 50 cents per hour at scale.Swyx [00:03:57]: Wow. Yeah.Anjney [00:03:58]: Because if that means the public benefit is so clear to the communities that the data centers are coming up in, I'm going to feel like that compute is much more reliable. Up to 20% of all data centers this year in the US, my understanding is are at risk.Swyx [00:04:13]: Of community backlash?Anjney [00:04:14]: Correct. Of not getting the community support they need to get brought up.Swyx [00:04:19]: Wow. That's a huge number.Anjney [00:04:20]: Yeah. Now, we, I think we should dig into what that number is. I think it's a little bit of overstated. These things can get over-reported, but it-Swyx [00:04:27]: They don't just care about jobs. They care about all the other stuff around it, right? They care about power grid, they care about environments-Anjney [00:04:33]: Power grid, permitting, and so on. And imagine I think if you said there's a new AI deal. If we're bringing up a data center in your community, we're actually going to reduce the cost of your electricity bill. Okay, now we're talking. Right? The community's going, “Okay. Now this is a deal. I feel like a partner in this.” Right now that's not happening. There will be audits, there will be investigations, and when the, when the regulators come, I don't know when it's going to be, the folks who are moving fast and breaking things in the name of AI progress better be prepared. That's certainly not how we're procuring compute. Or we're, we're trying as much as we can to work with partners who have long-term track records. Many of whom, by the way, are not, AI providers. I think this whole idea of neoclouds being somehow this new category is a lot of marketing speak. There are really good, reliable, trusted data center providers in America who've been around 20 plus years. I love those folks. They know how to Sure. Are they sponsoring happy hours at NeurIPS? No. Are they legibly listed in Build? No. Are they hanging out in my, in, situational awareness parties? No. But they're adults. I trust them.Swyx [00:05:44]: They can run LAN. They can run power.Anjney [00:05:45]: They can run LAN, power, and shell. They have credit histories. We sit down, we have a conversations. Many of them live in Silicon Valley. They've, they've had to deal with the boom and bust cycles of the internet, and I love those folks. They are stable infrastructure partners and thinkers. And I think there's a lot of short-term thinking going on in the compute layer, and it's going to catch up to us. It's not going to be good.AMP Grid: Making FLOPs Flow Like MegawattsSwyx [00:06:07]: You talk about aligning incentives, and, I would think that aligning incentives means you have the full stack in one company, which is xAI and OpenAI, right? So you as a standalone infrastructure layer, why are you somehow more aligned to your portfolio companies than people who just own the whole thing?Anjney [00:06:28]: In systems design, right, there's, there's two regimes of, architecture, right? You have integration, and then you have pooling and utilization, right? So the Or rather, the way to increase utilization often is you can do systems integration where you collapse a lot of process into one node, or you can pull out a process from a node and share that amongst various That resource amongst several different nodes. And so we see the AMP grid, which is, the, what, the system we're building here, which is basically a compute grid. We're trying to do for compute what the electric grid-Swyx [00:07:02]: PowerAnjney [00:07:02]: Yeah, what the power grid did for electricity. It-- this is a pooling and utilization layer across clouds, And so we're actually the opposite of a full stack integration like approach.Swyx [00:07:12]: Super horizontal.Anjney [00:07:13]: Where it's much more horizontal and it's, it's multi-cloud, it's multi-silicon. The goal is to try to make FLOPs flow like megawatts, and that is very hard to do today for many reasons. There's stranded pools of compute all over the place and there's no fungibility. And so right now we do it at the level of scheduling, and we often do it at the economic layer. But as we start to announce what we're working on, it's extraordinary like how many folks are coming out of the woodworks and saying, “Hey, I'm actually working on a way to make compute fungible at this part of the stack and that part of the stack.” And as a grid, we'd like all of these folks to participate on the grid. There's, people often ask me, “Andra, are you a new cloud?” And I go, “No, actually neoclouds are suppliers.” sometimes they'll ask, “Are you a venture capital firm?” I go, “No, actually they are, they are demand like sort of off-takers of the grid.” We see ourselves as what's called an independent system operator. So if you study the history of the electric grid, once it became legible to a lot of factories and industrial sort of participants that, hey, actually it turns out pooling is a good idea. We should pool our generators instead of all having a generator running at half capacity in our backyard. There was a need for an independent entity who could coordinate all these parties. Transmission line, power generation, facilities, transmission lines, factories, and that neutral coordination mechanism is very critical. In order-- If you study like the history of grids, the most enduring ones were those that never owned their own assets. They were ones that had, or often started with long-term anchors who are uncorrelated sources of demand, a steel factory, a shoe mill or whatever in a particular town who weren't competitive, where the steel factory want to spike up at night, the shoe mill wanted to spike up during the day. So then you pool and you share, right? So each of you is guaranteed some base load, but then you kind of schedule your spikes to drive a peak utilization across the town. The gold standard, so to speak, historically, has been these utility companies like PJM Interconnect in the northeast of America, where they, over many years became this what's called an ISO, an independent system operator of the grid. So that's how we see ourselves. Economically, that's what we are. From a technical perspective, we started at the scheduling layer because Seb and Mihai, who, run engineering here, built that at-Swyx [00:09:28]: Did your schedulingAnjney [00:09:28]: They did that at Google. And, -Swyx [00:09:32]: And you have infra shops from Discord as well.Anjney [00:09:35]: I have some.Swyx [00:09:35]: I don't know, I don't know if Discord is like the primary identity, but what-whatever, I'm just kind of-Anjney [00:09:39]: No, D-Discord was-Swyx [00:09:40]: Choosing a well-known name.Anjney [00:09:42]: Well, I So I was running the developer platform there. The internal infrastructure I was not responsible for. That was actually a guy by the name of Mark Smith, who was extraordinary. And yes, Discord did pool So Discord is actually a counter example. I had the chance to learn a lot about fully, full stack infra there because-Swyx [00:09:56]: It's the same thing, yeahAnjney [00:09:57]: It's the, it's the other architecture which is, Discord built its own WebRTC vo-voice and video infra. So like Discord did not use-Swyx [00:10:08]: For the calls, yeah.Anjney [00:10:09]: Yeah, did not For communication, Discord did not use third party infra. It was all built in-house. And then the way you maximize utilization was you pool demand from the world's 200 million plus monthly active gamers, right? And so that's, that's how those stacks were constructed. Again, in systems design, the two concepts that keep coming up over and over again are abstraction and composition, right? And-Swyx [00:10:31]: Bundling and unbundlingAnjney [00:10:33]: Bundling and unbundling, abstraction, composition, like verticalization and-Swyx [00:10:36]: HorizontalAnjney [00:10:36]: Horizontalization. So in that sense, AMP is an independent system operator of the grid. We pool demand, we pool supply from a number of partners we trust At about 1.3 gigawatt scale over four years. And then we pool demand from some of the world's best, research labs and so on. We're sitting at one, periodic labs who need extraordinary long-term demand. And the idea is that, each of them is guaranteed base load on the grid, but they can spike up and down flexibly on, for compute, with much shorter timelines as needed. That was roughly the design of the program I came up with at a16z called Oxygen. The same-- That was the same design of the GQM, BorgX, Borg GQM implementation at Google that Mihai and Seb had built. Which was that how do you allow, teams inside of Google, on the internal infrastructure to be guaranteed capacity, for their base workloads? But when they need to spike up on research, how could they ensure that was sufficiently there? And of course, the big innovation that was not discovered, but kind of implemented in the space, this infra space maybe three, four years ago at Google was the idea of interruptible demand, right? Where you just queue up a bunch of jobs and through this like sort of credit system, there can be a bidding mechanism.Swyx [00:11:53]: Like priorities.Anjney [00:11:54]: It's a dynamic prioritization Basically. And jobs can get interrupted based on somebody else who's saying, “what? I have 10 tokens, 10 credits I want to spend on this job.” Another like team lead, research lead is “Genie 3 or whatever is only worth five, credits, and NanoBanana2 is worth 10 credits,” and so the NanoBanana job gets priority. That's a, that's a made up example.Swyx [00:12:15]: It's very real. Brain Marketplace was real. And, we've, we've covered this on the pod with David Luan, who was-Anjney [00:12:20]: Oh, great. OkaySwyx [00:12:20]: Was there. And the criticism is that, well, actually sometimes you need central command to go all in on a thing. And actually sometimes capitalism via credits doesn't work. Not, this is not a criticism of AMP. I'm just saying, this is a thing that has been tried, internally within Google, and it led to Google missing GPT.Foundry, Frontier Labs, and Research HoardingAnjney [00:12:41]: Like, we structured ourself essentially very similarly to Google. We are structured as a holdings company. So, Alphabet holdings is Alphabet holdings, and then they've got these subsidiaries called Google and-Swyx [00:12:51]: Other betsAnjney [00:12:52]: Other bets and so on. We've got, AMP holdings, and we've got our infrastructure business, and then we've got a capital business called Foundry that incubates new frontier AI labs or invests in them as venture capital, like Periodic. We put a few hundred million dollars into Anthropic from our fund earlier this year. So wherever we feel like teams are making progress, especially researchers and so on who've pushed the frontier inside of existing labs like DeepMind, I find, there comes a point where they feel misaligned with the dictatorship of Alphabet holdings. And at that point, sometimes the dictatorship doesn't want them anymore. And they're “Thank you. You've done your job here. You've kind of helped us through the zero to one phase, and for whatever reason, we're going to deprioritize your amazing, omni model or whatever it is, and instead we're going to prioritize coding.” And, I think that's a tragedy, but I get it. They're Sergey and team are running their own business there. But that doesn't mean we the rest of us should sit around waiting for that progress to get unlocked for the rest of the world and humanity. If you think about how much extraordinary research has happened inside of DeepMind over the last 10 years, I, Demis and Sergey and those guys did such a great job. But at the end of the day, so much of that has never seen the light of day?Swyx [00:14:00]: Or they're like papers only, but they never actually shipped it to production or-Anjney [00:14:03]: What's worse is the paper is actually not even being published anymore ‘cause there's a six-month embargo inside of DeepMind, right? We've heard about this where a paper comes out, and then I think there's a six-month embargo window where if anybody on the business team says, “This could be interesting” It's embargoed for life.Swyx [00:14:18]: Exactly. So the stuff that gets published is the stuff that's not good enough.Anjney [00:14:21]: There's an adverse selection problem, basically. Yeah. At this point-Swyx [00:14:25]: It's, it's a common complaint at NeurIPS, by the way, that's “Well, why would I look at the papers that are the trash of GDM?”Anjney [00:14:31]: Again, I think it's a tragedy. I get it. They're running their business, but the rest of the I think there's negative externalities of research being hoarded, and so that'there's a market failure. And somebody needs to unlock that research, and we can't do it on our own. We only have 1.2 gigawatts of compute. That's nothing. That's about $40 billion of cloud spend. We're going to need a lot-Gigawatt-Scale Compute and End-of-Life PredictionSwyx [00:14:51]: By the way, is that's a new number. I haven't, haven't come across that gigawatt number. That's huge.Anjney [00:14:56]: Yeah. And to be clear, we haven't secured all of it. That's how much demand we have started to secure. I think publicly we haven't actually confirmed how much we have for this year. In order-Swyx [00:15:04]: Where do you want to get to?Anjney [00:15:06]: I think the steady state would be that we have a base load pool Of 1.2 gigawatts at all times Of base load capacity. For spike capacity, right now my estimate is we need roughly six gigawatts over the next four years for all our teams to feel like they were able to keep moving the frontier, whatever they're working on, whether it's, like superconductor discovery over here. There's a new investment we're working on right now, which is in the end of life prediction space in healthcare. It's extraordinary how much you can, you can give this was actually my graduate school work. I went to grad school for bioinformatics at Stanford Med. And I know we-Swyx [00:15:40]: Econ, MCS, bio.Anjney [00:15:41]: So my-- I was this really weird cat where, I was never satisfied with my major options. So at one point I was an econ major, then I was a CS major, then I was a MCS major called mathematical computational science, and they decided they were going to end that major. So I took all that coursework, and I applied it to grad school, my graduate degree in bioinformatics, which was the master's program, and then I thought I was going to do a PhD. I never ended up doing it. I dropped out and went to work at Kleiner. But I was lucky enough to apprentice with this professor at, Stanford Med. His name is Nigam Shah, and he was working on end of life prediction. Stanford is one of the only research facilities in America that has a longitudinal patient data set that's larger at scale. I think it's at least 12 million patient lives. The only larger data set is at the VA, the Veterans Affairs, of America. And to do research, like do any deep learning and so on that data set, it was called the STRIDE data set at that time, you had to be a Stanford Med School affiliate, which is why I went and enrolled in the bioinformatics department. End of deep learning was early. Nigam Shah had the visibility-- the vision to see that, you could do end of life prediction to help palliative care. In America, the, over 30% of all Medicare, Medicaid spend, at least at that time, was spent on end of life care. And what's we grew up in Asia, so we all-- Yeah, at least I won't speak for you, but I have A very different relationship with death than I find folks who grew up in America do. In America, spiritually and culturally, especially in Western societies where Christianity, the Christian tradition sort of frames death as this terminal point, there's often a judgment day and so on. The way we view death is with a finality. In Indian culture, in Hindu culture, death is one-Swyx [00:17:35]: Also, he's Buddhist as well.Anjney [00:17:36]: You're Buddhist, yeah. So it's one, it's one step in a journey of many lives, right? And so, I grew up in this city called Chennai in the south of India, and when people die, you dance on the street. There's like a procession where your body is carried to be cremated and your family, like celebrates and there's drums and so on. It's this huge thing. And, It's because the idea is that you're going to be reincarnated. You've been liberated from the responsibilities of this life, and now you're onto your next. It's a new It's like going off to a new college or whatever, right? And so it was so alien to me when I got here as an undergrad- That the medical system works backwards from that assumption that we have to view death as this terminal thing and delay it, postpone it's a bad thing. And so at the time, clinical decision support in the United States was this very primitive field. Even to this day, physicians in the United States often will tell you when you have a terminal disease, this is your, we've diagnosed you, which is great. Our ability to diagnose you is extraordinary. You have somewhere between six months to six years to live. What do you do with that information? The error bars are so high that then you In times of uncertainty, we default to culture, and when the culture is let's-- this is a bad thing, I've got to prolong my life, then you start doing things like And just to, just sort of from a systems perspective, what's going on there is Physicians often feel like they need to provide such high error bars because there's always some uncertainty in end of life diagnosis, and if you provide the wrong Diagnosis or recommendation to your patient, you can be sued for medical malpractice. And then your license can be taken away. It can be catastrophic for your career. In contrast, if in countries where that's not the case, what you often observe is that patients, physicians are quite prescriptive with their recommendation. They say, “Hey, this is your condition. The literature says that you probably have this much time on Earth left. My expert opinion is that you are an outlier or whatever.” And they try to be more prescriptive, and that empowers a patient, right? ‘Cause then a patient can say, “I trust my doctor. They said on average, I have six months to live, but if I do these things, I may have a shot because of my particular predispositions or my genetic history or whatever.” And that empowers you to go about your life in a actually more scientific way than leaning on religion, culture, spirituality, and so on. In contrast, here, because of that medical malpractice sort of thing looming over your head, a physician never gives you a clear recommendation. So instead you say, “Okay, Doc, well, let's try it all.” And then you start a whole regime of drugs and therapies, and then you often spend weeks and weeks in the hospital, and that deteriorates your quality of life. And when that deteriorates your quality of life, you instead of spending your last few days doing the things you love with your family, you're spending it on a hospital bed. And that ends up being thirty percent of Medicare and Medicaid. So it's worse for the patients. The doctors feel terrible. The American taxpayer is paying a huge amount of money. And so this is why Nigam Shah, who was this professor at Stanford, said, “Anjney, if there's “ I kind of sat down with him. I was this young, I'd, I was twenty-one, and I was “I want to work on a big problem.” He's “The big problem is end of life care.” And so we tried to do deep learning to say, to-- So we started trying to run deep learning on these tried patient data sets to say, “Could you have an AI system make a recommendation that is orders of magnitude more precise about how much time you have left once you've been diagnosed with a terminal condition than a human?” And then if we can get that precision to be high enough, then you can empower the patient. And it turns out the tech works. Like it's-- Once you get the data set, like RL works. Honestly, even regression models work. You don't need to get that fancy. At the time, we were just trying, doing like very simple neural nets.Swyx [00:21:54]: Simple solutions, yeah.Anjney [00:21:54]: Today, what we can do with RL is extraordinary. The problem remains then and now is regulatory, because you actually can't shift the burden of the wrong clinical diagnoses from the physician to the AI system. And so at that time, I got quite disillusioned ten years ago for, twelve years ago where, ‘cause I felt I just didn't have the resources to influence regulation. Today, I'm very lucky. I'm in a different place. I've, I'm a lot older, and so I've been spending a lot of time on my next incubation, which is how can we unlock the, patient empowerment by training AI models to do end of life prediction much, with much more precision and ac-Swyx [00:22:37]: Oh, wow. You're still focused on this the whole time.Anjney [00:22:40]: The-- I haven't been able to get, this out of my mind a single day for the last fourteen years. This is the hill I want, I would like to die on. There's two, I would say. What? I actually, I'd prefer not to die.Swyx [00:22:51]: Yeah, exactly.Anjney [00:22:52]: But I think two bipartisan issues, I think two issues that should be bipartisan in America are how do we empower patients to make the right clinical decisions at the end of their life, such that we're reducing the taxpayer burden with science? It's just good old science, and AI can help here. And the second is, net positive data centers, ‘cause I think that's the biggest critical bottleneck on training and good enough AI models to help people at the end of their life. So there's sort of two sides of the, of the same scaling bottleneck curve, but those two, we formed AMP as a public benefit corporation. My wife and I, who you've met, you've met Viv. Her passion is education. Her family is a long line of educators and so on, and, of physicists. And so this class is my attempt to stop being the black sheep of the family and be a, an educator. But if I'm not educating, the thing I would be doing is working, on these two problems, whether on the political spectrum or as a researcher back at, in some lab. And my hope is if anyone's listening to this podcast, if they're passionate about either of those two topics, I'd love to hear from them. We'll, we'll we can share the contact in the show notes, but, we're looking for people to join both of those missions on the, on the political side as well as on the medical side, on the research side.Frontier Systems, Output Maxing, and AlignmentSwyx [00:24:08]: You said, this is a discipline that you want to form. You call it's called variously called Frontier System. It's variously called One Person Frontier Lab. What is the ideal name or shape of this? Like the, what is the mission?Anjney [00:24:24]: Of the class?Swyx [00:24:26]: Of the discipline that you're, exploring, right? I The class is called Frontier Systems. But like for me, maybe one phrase is you're, you're just anti-waste, right? Which is wasting GPUs, wasting in human and Medicare. But is there, is there a broader theme that I'm, that maybe you can encapsulate more succinctly?Anjney [00:24:45]: Yeah. The, from an engineering perspective, it's very simple. It's output maxing. It's the, it's the department of output maxing.Swyx [00:24:51]: Making the most of what we have.Anjney [00:24:52]: Exactly. I'm a huge believer in optimal outcomes. I think both in America and other countries, we are losing our appreciation for nuance, and this is the thing of And AI is the same case, right? Oh, the bitter lesson holds. Okay, fine. But that doesn't mean you just like throw 500 GB300, 500,000 GB300s at your suboptimal model scaling and you waste a bunch of compute. It also doesn't mean that, the most optimal is to have like 50 different architectures where there isn't enough standardization. One of the reasons Anthropic has had extraordinary sort of velocity is ‘cause they picked the transform architecture and said, “This is simple. Let's double down on it,” right? And now luckily there's enough investment going to the space that we can afford other architectures, but at the time, investment was just too fragmented into other architectures, so that arguably unlocked scaling. So I think there's a philosophy. I think we all owe it to ourselves to do output maxing with a new capability called AI on a global level. I think if I was starting a new department at Stanford, depending on how fuzzy or technical I wanted to be, I'd probably call it the Department of Alignment. Like-Swyx [00:25:59]: It's an overloaded termAnjney [00:26:01]: But it is, But alignment really Is a hard problem. And I think when you unlock it, full stack alignment is super hard in any organization and in any system. Like in a, in a venture capital firm, if you can have full stack alignment between your limited partners and your, the founders who are creating the value and ultimately the public that owns the IPO stock, that is a gift that keeps giving. And when you study the history of these systems, when they start off, they usually start out small scale where the feedback loop is actually so tight that there's alignment. And then the more you try to scale, the more division of labor happens, the more specialization happens, and at each step you add abstractions. And wherever there's an API interface, there's like loss. There's communication loss. And so I think a really cool thing would be for us to figure out is there a way for us to have our cake and eat it too as an engineering discipline? Is there a way to actually scale up and scale out Without losing any alignment, without lossy transmission?Swyx [00:27:01]: You mean standards?Anjney [00:27:02]: So standards is one way. The other way is you just have net new capabilities. So like what we're trying to do here is discover new superconductors. A room temperature superconductor would be a lossless transmission mechanism for energy. We would have flying cars. We are right within a few years of having a new room temperature superconductor. So I think those are the two. You either have to standardize On protocols or API specs that allow lossless communication, or you can come up with a whole new capability that unlocks so much abundance, the standardization doesn't matter ‘cause you just unlock net new capacity. This, the, so this is what I spend my days thinking about these days.Compute Markets, SF Compute, and Non-NVIDIA ChipsSwyx [00:27:38]: No, I think every infra person at, who wants scale and wants to output max does eventually end up thinking about this. We don't have time to go into it, but we have done an episode with SF Compute-Anjney [00:27:50]: Oh, coolSwyx [00:27:50]: That is trying to standardize The futures contract for compute. I don't, I don't know how that's going by the way, but like at some point this will be public.Anjney [00:27:57]: Oh, I think Evan is awesome and SF Compute is the kind of effort that I hope we can accelerate because what often happens is these exchanges are very hard to get, they, it's hard to bootstrap them, right? Because they often require-- There's many inefficiencies between parties. There's trust boundary inefficiencies in infrastructure because you don't trust, one part of the stack doesn't trust another part of the stack to give them visibility. There's capital markets inefficiencies, there's operational efficiencies. So if you can inject like a single shock to the system of a ton of compute demand or supply, then you can accelerate, these new flywheels. And so my hope is one day, or soon, if SF Compute needs extra like has excess capacity, they just hook it up to the grid and they get flooded with demand from us. And on the other side, if they have a ton of demand but they don't have supply, they just again hook up to the grid and it's a two-way protocol where they can just hook up to our capacity. And I don't think we're too far from that. Today our working implementation of it is mostly through a group of labs, universities, and a few sort of trusted parties who are, who all feel like they're in alignment to borrow an over sort of used word. But our hope is to just have it be an open protocol that anyone can hook up to on-Swyx [00:29:20]: Hook up for demand or hook up for supply? In primarily demand, it sounds like. Like you-Anjney [00:29:25]: No, bothSwyx [00:29:26]: You would want to offer demand.Anjney [00:29:27]: Both. Yeah. Unfortunately, what's happened in the last six weeks is, we thought we'd have a bunch of excess capacity by the end of this year. It's all gone.Swyx [00:29:37]: It's exploding.Anjney [00:29:38]: It, yeah. It's all gone. And so I have, my text messages are full of friends, we know many of these people, these are founders who've raised billions of dollars in San Francisco going, “Oh, any chance you have like 50 nodes in the next few weeks?”Swyx [00:29:51]: What is the scope for, non-Nvidia, right? You have Lisa Su coming and, Rainer Pope as well. And so There is a lot of demand for, more performance Alternative architectures and all that. At the same time, this hurts your standardization.Anjney [00:30:11]: I don't think so. So actually Rainer's a great example, right? Rainer is a CEO and founder of, MatX. I actually had him by for office hours in the class earlier today, and there was an insight he brought up that I hadn't considered before, which is when they decided to pick the standard For their data center, they picked the NVIDIA reference architecture. So the MatX chips Just plug in to any site that has an NVIDIA bring up planned. And, the-Swyx [00:30:42]: It's just software then. It's, it's not the-Anjney [00:30:44]: A-Swyx [00:30:44]: Hardware.Anjney [00:30:46]: Well, from an input and IO perspective It's the same footprint as an NVIDIA rack.Swyx [00:30:52]: That makes sense.Anjney [00:30:53]: Where they have done, innovated a bunch from what I can tell is on systems co-design. Which is where a lot of the gains are to be had. And so he picked He was “Anjney, we, there's just so much work to do when you're building a new chip company.”Swyx [00:31:08]: Can't fight every front.Anjney [00:31:08]: You just can't fight on every front. So my question to him was, “Well, you're working on this new chip. Their tape-out is next year. What, who are you going to partner with to host the chips?” And he said, “Whoever will host them. That's just not, that's not my focus.” And I said, “But how did you “ you decided back to our earlier systems design question, he decided that, he didn't want to be a full, fully integrated chip provider. The bottleneck they're focused on is the logic die, and they, he feels they can crank out a ton of performance gains through co-design there. But then that means you delegate, to our question earlier, it, you he's the data center provider is a different part of the stack, and so then he's dependent on that part of the ecosystem to host his chips to get the performance gains to the customer. So now you have another abstraction, and you might have loss. So I asked him, “How do you prevent loss?” And back to your point, he said, “I just picked the NVIDIA standard ‘cause I didn't want to Like I wanted to piggyback off of an existing protocol.” And that, what's great about NVIDIA is that reference architecture is known.Swyx [00:32:15]: Open.Anjney [00:32:15]: It's open. They've published it. So Jensen's actually enabled someone like Rainer to build a chip company like MatX, and I don't see them as competitive. The compute demand is so high. Like, I don't I think NVIDIA's not able to meet the demands of production, so we just need more chips. And I think it's very smart what MatX has done, which is say, “We're just going to we're not going to innovate on the data center design ‘cause actually, thank you, Jensen, you've done all the hard work. Where we can innovate is somewhere else.” And I think that's, that's very healthy. I think that's how we unblock new bottlenecks. And my view is these, the, chip teams like MatX, who have arrived at the insight that co-design is the way, The primary bottleneck for them is trust boundary. To do co-design well, you need visibility into the next model generation as soon as possible ‘cause it takes two years to tape out. So if by the time I bring my chip to market, your model architecture's changed, I'm host. Now, when he was inside Google, he was sitting next to the Gemini team. He was on Palm or whatever.Trust Boundaries, Co-Design, and Researcher CEOsSwyx [00:33:19]: His co-founder was the, was one, was one of the Palm guys, I think.Anjney [00:33:23]: Yes. Yes, exactly. So when you're inside the trust boundary of Google, then your systems co-design loop is super tight. When you leave as a founder, one of the biggest risks you take is now you're outside the trust boundary. And so what I love doing is helping chip teams who can help us unlock more capacity for the independent ecosystem access to trust. Because when I If I've been, involved with a lab from day one, and I was lucky enough to work with Anthropic, and then I'm on the board of Mistral and helped Black Forest Labs get started. I think at this point I'm on six or seven different teams.Swyx [00:33:57]: Only six? I feel like my mental number was going to be 13, but yeah, it's-Anjney [00:34:02]: No, I go deep with one at a time.Swyx [00:34:04]: You're founding CEO of Arena.Anjney [00:34:07]: Nah, that was an, that was an-Swyx [00:34:08]: Administrative CEOAnjney [00:34:09]: It was an administrative five-month gig where Whalen and Anastasios were graduating from their PhDs, and they didn't need a product team. So I helped recruit the head of engineering product and design. But Anastasios has always been the CEO of that company. I played a pinch-hitting I'm an intern. I was CEO intern For five months. -Swyx [00:34:33]: I interviewed him, and he's he's very well-spoken. I think he's a debate, former debate, champion. But also very quantitative and mathematical, which is-Anjney [00:34:41]: He-Swyx [00:34:41]: Such a unicorn.Anjney [00:34:43]: See, what's amazing about him? If you look at his output, he's an output maxer. By the time he was graduating from his PhD, which he only graduated last year, he had published more work with a citation count than, people twice his age. But at the same time, he'd already started a project called LLM Arena that was being used by millions of people As a side project. And time and time again, what I've realized is venture capitalists suck at seeing human beings as, dynamic agents where-Swyx [00:35:14]: They want to put you in a boxAnjney [00:35:15]: They want to put you in a box.Swyx [00:35:15]: This is your thing.Anjney [00:35:16]: So the first time I got introduced to Anastasios, somebody had told me “Oh, he's amazing, but he's a researcher.” I was “what? What do you mean he's a researcher?” That's what-Swyx [00:35:28]: Like he's not a CEO, not a founder.Anjney [00:35:29]: Not a CEO, exactly. I was “Are you crazy? Do you Have you met Dario?” Dario's a scientist. He's gone from zero to, what will soon be a trillion-dollar company in four years. Being a CEO, nominally speaking, is not that hard. Being a good CEO is hard. Being a great CEO actually requires a level of performance that scientists who have already published at the top of their field have accomplished. It is super hard to be a competitive scientist. To publish in academia over the last 20, 30 years, to make it to the top of your discipline at a place like Berkeley, you are a star athlete. Like, you are an athlete of the mind, and you perform at the highest levels. And to get there, whether you're, Anastasios or Whalen at Berkeley, or you are Robin, who-Swyx [00:36:23]: BFL, yeahAnjney [00:36:24]: With Black Forest, who created Stable Diffusion, or if you're, like Guillaume at Meta, who created Llama before he started Mistral. The amount of human leadership you have to demonstrate to get the resources, like get the trust of the organization, publish it, put it up. I would just fund researchers all day Right? If who have contributed already to the field. If they've, if they've put SOTA out there, they're, they're star athletes already. If they haven't done SOTA Look, they can still be good CEOs, but then I find the failure mode is that they just don't want to be CEOs, they primarily want to publish, and that's okay, too. One of the things we do with the AMP Grid is we donate excess compute. We have two nonprofits, like university labs. We carved out like a couple thousand H100s. But I do think there's extraordinary research being done on university campuses. My father-in-law's a physicist. He's a professor. Extraordinary work in physics, and we need that. But if you want to be a CEO, what you need to be willing To do is be super confrontational, outside of science. Like within the scientific community, some of the best researchers are very confrontational about their convictions, right? This architecture is right. To be a great CEO, you basically have to be willing to be confrontational up and down the stack.Swyx [00:37:41]: To your own team.Anjney [00:37:42]: To your own team-Swyx [00:37:43]: To customersAnjney [00:37:43]: Hiring, recruiting customers. Well, I would say, Yeah, pretty much to everyone Everybody. Of course-Swyx [00:37:50]: I see, I feel a little bit of that in my own work, but yeah, I can't imagine the stakes that Dario has had to go through. It's, it's pretty insane.Anjney [00:37:56]: No, I don't think the stakes are that different From how you're feeling it, right? Stakes are personal scaling vectors, right? The stakes that seem so low to you, like having this podcast where you can talk to somebody and just have a you're an extraordinary communicator, right? Like already in this conversation, you've pulled more out of me than most people, and I've been on 12 podcasts in the last two weeks.AI Coachella and First-Principles ThinkingSwyx [00:38:17]: I think I, we've just seen each other enough that there's some base trust.Anjney [00:38:20]: There's base trust.Swyx [00:38:20]: And I think, and I know that you, that I've done my homework and like I know that trust is a big deal for you, so.Anjney [00:38:27]: I think trust is about consistency, and you and I have seen each other In the community for years, right? Like, I remember the first time we met was at NeurIPS in New Orleans. I don't know if you remember that, luncheon.Swyx [00:38:38]: Oh my God.Anjney [00:38:39]: Reiko had set up this Reiko's amazing, and he set up this luncheon and-Swyx [00:38:43]: Yeah, I was “Who's this Discord guy?” I'm “Okay.” But-Anjney [00:38:45]: No, you weren't-Swyx [00:38:46]: You were just “You made some investments.”Anjney [00:38:47]: You were much less polite. You were “Who's this VC?” You're like-Swyx [00:38:51]: No, I Was I? Oh my God.Anjney [00:38:53]: It was-Swyx [00:38:53]: I'm so sorryAnjney [00:38:53]: It was visible on your face.Swyx [00:38:54]: I'm so sorry. But you weren't, you weren't The introduction was bad. I was I didn't know who you were.Anjney [00:39:00]: The, see, this is the thing about context, right? Like, but then I think I heard your accent. And I was “Are you-”Swyx [00:39:06]: Singapore, yeahAnjney [00:39:06]: “Are you Singaporean?” And you're “Yeah.” And I said, “I went to high school, JC, in Singapore.” And then the ice broke. But This is the there are in the scientific community, sometimes the stakes are very high for people who haven't had the emotional, what is called EQ Coaching and mentorship, right? Which is like to have scientific impact, you often need to be a extraordinary emotional, like emotionally in tune person with the folks you're trying to influence. And so what comes so naturally to you is actually a super high stakes thing to other people. And so I wouldn't assume that Dario's more stressed out than you. These things are you'd be surprised how similar and small sometimes the problems are to you That some of the world's biggest, leaders are facing. And that's what I've learned from this class. The guest speakers are Sam, Satya, Jensen.Swyx [00:40:01]: AI Coachella.Anjney [00:40:02]: Yeah. It's AI Coachella, right? So we got to get all the headliners, and they're I'm very lucky that some of these people have either mentored me over the years or I've done business with them. And when you, take the performative stuff out and any assumptions you may have about these people that you read in the press or on Twitter, We're all just humans. We're all trying to get along. And what's so special about this moment is AI is forcing, like scaling, the bitter lesson is forcing a lot of people to revise their assumptions for how the world works and go back to first principles or go and educate themselves. So the kind of people I was, I won't name who this person is, but I was at an event last week in Texas and, ran to somebody who said, “Anjney, I came across the class. What do you think about real time action prediction models?” And I was, don't know how happy it made me feel when they asked me that question. I know they've done the work. They've challenged themselves. I'm, they didn't ask me, “What do you think of world models?” They said, “What do you think of n-”Swyx [00:41:04]: Real time action predictionAnjney [00:41:05]: “action, real time action prediction models?” World models, don't get me wrong, are cool and everything, but you and I both know that is a layer of abstraction that is sometimes not usefully precise enough. Right? Ours-Swyx [00:41:16]: There's like four different kinds of world models.Anjney [00:41:17]: Yes, exactly.Swyx [00:41:18]: We've done the part with general intuition, by the way, which is very focused on, -Anjney [00:41:22]: Oh, cool. Yes. I love Pim. Pim is great. And this is what I love about people who've done that level of work. They realize they're not in competition with people who the rest of the world thinks they're in competition with.Swyx [00:41:34]: Because they're not in the category, they're in the specific thing they're trying to do.Anjney [00:41:37]: They're focused on their mission, and they have a systems understanding of the bottleneck they're trying to solve. And when somebody else says, “I'm working on real time, action prediction models too,” Pim goes, “Oh, I love that person. I want, I can learn from them.” But the minute they're “Oh, that person's a world model person,” it's “like which type of world model person?” But mostly they're just trying to figure out if it's a waste of their time, because we don't have enough time. So, Pim, for example, is super, loves this other company I work with we've talked about called Black Forest Labs. And he's mentioned to me multiple times that he's so, He thinks what Flux is doing is really cool. Andy Blattman came by and spoke in the class. And what I find over and over again is for people who do the work, who can be usefully precise enough about like what is actually going on in the world of frontier research, The sense of camaraderie is still well and alive, but it gets lost sometimes when you have to like abstract The technical complexities in, business terms And then the VCs are “How are you different from that world model?” I'm going to say Where do I even start to explain this stuff? And then the misalignment creeps in.Leading vs. Winning in Frontier AISwyx [00:42:43]: This is good. Yeah, I think, people listening get a sense of, what it is like to operate at a real level, like yourself, rather than at, the journalist level, where you have to sort of put everyone in, a rough category and create a narrative of competition, and who's winning today, who's behind.Anjney [00:42:58]: It-- this idea of winning is so Weird to me.Swyx [00:43:03]: You do want to win. You want you want competitiveness.Anjney [00:43:06]: No, I think you want to lead.Swyx [00:43:07]: You want SOTA.Anjney [00:43:07]: No, I think you want to lead. Yes, so you want to push the frontier. You want to push the SOTA. You want to do something that hasn't been done before. You want to capture value, but you don't want to capture so much value that, people think you're unaligned with your mission or trying to do what's best for the world. You want to capture enough value that you can keep innovating, right? And I think that people want to lead, they don't really This idea of winning and losing, again, I love Jensen. He's a, he's a leader. The mindset that he talked about on Dwarkesh's podcast, right? He's “I didn't wake up with a loser mindset.” I think that was awesome, right? Because he's, he's an engineer. Dwarkesh has done the work. So there's at least-- even though the, to me, it was very obvious they're talking about the same thing, they just passed each other. They just had to basically, Jensen has this, five-layer cake abstraction of how the industry works. And Dwarkesh had, I think from that podcast, had more of, a pre-training, mid-training, post-training systems loop concept.Swyx [00:44:04]: It's just a factor of who he talks to, right? Again, it's very clear.Anjney [00:44:06]: It's the systems It's the abstraction, the mental models, the It's the whole-- Dude, so much of the problem in the world is reasoning by analogy. And then the assumptions that are held invisibly.Swyx [00:44:19]: Yeah, I've, I've said, this is actually the best time in human history for first principles thinkers. Because everything you think will happen is actually now coming true.Anjney [00:44:28]: Correct. And the venture capital community is, notorious for this, where people look-- In times of uncertainty, they, cling to axioms that ended up being true from the previous era, and they kind of like proclaim them with confidence as if they're truths, but they're not. And it's very important to see the distinction between a heuristic and an axiom. An axiom can be proven-Swyx [00:44:55]: Like from internal consistency point of viewAnjney [00:44:56]: With internal consistency. A heuristic is a way you kind of a shortcut. And my God, the number of people I have had to put up with over the last few years who proclaim-- use heuristics As axioms to judge people, to judge which companies are going to succeed or the number of people who are “Oh, yeah, Anthropic, they're just training models right now,” but this one continue.Swyx [00:45:22]: Because that's a B2B SaaS?Anjney [00:45:23]: Yeah, the, like Which over the fullness of time, if you squint at it, maybe. But the way you arrive there is so important that you can-- you just, you can dismiss people. Here's what happened, right? What happened is Anthropic basically achieved takeoff in October of last year. That training run-Swyx [00:45:41]: Whatever, three seven?Anjney [00:45:42]: I forget the numbers now, but whatever that checkpoint was-Swyx [00:45:45]: We saw the cognition.Anjney [00:45:46]: Yeah. Right? You probably-- The, to those of us in the community, especially once post-training was done and it was released in December-Swyx [00:45:52]: Yeah. Can I sneak a sneaky question in there? I don't know if you have a perspective, maybe you don't, I just The number one question is how did Anthropic crack coding, right? Because Claude One, Claude Two, okay, like it was part of it, but it wasn't a big deal. And the leading hypothesis, it's a lucky dice roll that was then compounded, right? Like it was like Mildly better, but then they saw it and they were “Okay, let's really invest.”How Anthropic Cracked CodingAnjney [00:46:17]: I had this very annoying teacher. I went to this boarding school called Rishi Valley in India, which is like this, bird preserve. It's like three hundred and fifty acres of bird preserve in rural India, and there was no technology for seven years. There was this teacher, I won't name them, but they would have this-- I hated it every time he said this to me. He was “Luck fa-favors the prepared mind,” which is like a common saying, but the way he delivered it, always grated me, ‘cause he was always I was always one of those kids who got, a good grade without trying very hard. ‘Cause like high middle school is not that hard if you, if you're generally, paying attention and so on. And there was this one time where I-- But then I would get an eighty percent grade, and he would keep pushing me to say “The reason you didn't get the ninety-five plus percent is because you're not that lucky.” And I would say, “What do you mean?” ‘Cause I would think that I deserved that grade, and I would sometimes argue with him. And he'd say, “You didn't have a prepared mind. If you want to get lucky again “ There was basically one time where I got like ninety-five or ninety-six on this, on this subject, and I, now that I felt entitled. I was “Okay, I'm going to keep doing this,” and I didn't. And then he was “Luck favors a prepared mind. You got lucky last time, but you got to stay prepared.” And I didn't understand what he meant. Now, as I'm older, I'm okay, these adults actually knew a thing or two. Anthropic has been the most prepared company for four years. And so then when the right, context data comes in, the right developers start sending in, the right context diffs, Sure, you could say you got lucky, but if you ask me, they're pr-pretty damn prepared with paranoia for like four years. And you have to remember, it was so hard for them to get going early on that they had to do so much more with so much less that you just have to be prepared to be so efficient.Swyx [00:48:06]: Yes. There's numbers on their burn compared to OpenAI. I've, I've written about it, but they are so much more efficient in their, in their tech stack.Anjney [00:48:14]: It's not even It's not funny.Swyx [00:48:14]: Not even close.Anjney [00:48:15]: Yeah. But it's so clear, right? Like how to output max for the world. They have been prepared, and you could call that luck, but Luck favors the prepared mind.Culture, Hardship, and Anthropic's P0Swyx [00:48:25]: This is one of those things that I was going over some of your old lectures and, you were data, people think it's a moat and actually it's culture and actually it's team Actually. And I, it's-- there's different levels of moats, and this is the ultimate one that determines everything else. Which you can then compoundAnjney [00:48:43]: You're saying culture is the ultimate moat? Yeah. But the thing about culture is it's very fragile. So moats, I don't think they're-- there's very few moats I found that are actually moats. They're-- It's, it's a nice concept, but in reality, you have to replenish your culture. Ben Horowitz was, the speaker in CS153 on Tuesday, and I asked him this question about the culture bottleneck in teams because, there are several AI teams-Swyx [00:49:09]: His book, Hard Things About Hard ThingsAnjney [00:49:11]: Hard Thing About Hard Things. But more concretely, there are so many AI labs today that have all the cash they need, they have all the compute they need, and they're still not able to ship anything SOTA. And then you start seeing people leave and so on, and my diagnosis, it's, is it's the culture. And so I asked him, Ben, they're-- He's been one of the most aggressive investors in AI labs. He goes back to this thing which resonates in my mind a lot. It-- When I used to work at a16z, I would, book a conference room, and right outside the conference room, which is closest to the toilet ‘cause it was the fastest way for me to go use the bathroom between Zoom meetings-Swyx [00:49:45]: Oh my God, I'll put maxing my toilet optimization. Okay, never mind.Anjney [00:49:48]: It was not healthy in hindsight, but maybe this is TMI. But anyway, outside that conference on the wall was this quote that was printed that said, “Culture is not a set of beliefs, it's a set of actions.” And it's by Bushido, is this, Japanese philosopher. And if you stop taking the actions that demonstrate the mission alignment to what you've said to your team and to your-- the world matters to you, then your culture starts to fray. So it's not actually a moat, I would say. It's a very brittle, fragile thing that requires daily tending to like a garden. But if you figure out the system to keep that garden tended, which I think ultimately comes down to knowing yourself ‘cause you most naturally, if you're authentic and so on, you'll naturally make trade-offs that seem effortless to you, but that reinforce your culture. And then That becomes this very hard thing for other people to catch up to. And at Anthropic, from day one, there was this mission like-- missionary like zeal and belief that, hey, these capabilities will scale. These systems are stochastic, not deterministic. There will be error bars, and until we crack interpretability, there's risk. And at some point, people will go-- stop using Claude just for coding. They'll use it in some mission-critical context where there's-- it'll throw off a bug, and then people are going to come blame them, and they want to be on the right side of history where they said, “Yes, this is a powerful technology. We think it's going to change the world, And we want to be very measured and scientific about the fact that, ‘Hey, guys, these are stats models, statistical models.' That's how statistics works.” ultimately, when you're training neural nets, it is just a statistical system. And I think that Belief that safety is important and that it might seem toy-like in the early days, and sometimes, you could say, “Anjney, they totally over-exaggerated the risk,” like two years ago when they said, “Let's not launch Claude One,” or whatever. Well, okay, maybe in hindsight, but hindsight is twenty/twenty. And at the time, they didn't know how that model would be used, and to them it felt existential if somebody came and said, “You weren't responsible. It-- This wrote a bug.” The liability associated with that is massive. So how do you prevent against that? Well, day in, day out, you say safety. And when you start deviating from that, you have the team hold you accountable, you have the world hold you accountable, and I think that becomes a moat over time. At some point, that moat will get challenged and so on, and then it become fragile. I hope it endures because that's the beauty of having founders run the show, ‘cause they can make really hard trade-offs to do mission alignment. The hardest part is in the earliest days when you don't have a group of people who are going through difficulty, stress, crisis together, then your culture doesn't get defined sharply enough, and that's what I'm worried about right now, is there's so much money going to these labs. There's no hardship. There's no-Swyx [00:52:50]: To anyone who knowsAnjney [00:52:51]: There's no to anyone who knows. And that, in hindsight, was a feature, not a bug for Anthropic. The number of people who said no, the number of people who said, “Sorry, we're all doing investors in OpenAI,” that is competitive difference. It forces you to really understand, what is the hill you want to die on at the expense of everything else. What's the P zero? And there, P zero from day one was coding. The reason, the mechanism system there was if we crack coding, Then we will crack AGI. Our mission is AGI. We want to get there safely. If we focus on codin

Unmittelbar vor dem Tempel im Dschungel vor Calabozo treffen Rainer, Miguel und ihr vielarmiger neuer Freund Armin auf ihren Auftraggeber Dr. Markus Meier – und er ist nicht bereit, sie so ohne Weiteres gehen zu lassen.Du hörst die Kerkerkumpels, das Pen & Paper Hörspiel. Die Geschichte, die du hörst, ist live improvisiert. Ob unseren Charakteren eine Aktion gelingt, entscheiden die Würfel!Intro/Outro:Anamalie by Kevin MacLeodLink: https://filmmusic.io/song/4980-anamalieLicense: https://filmmusic.io/standard-licenseSprecherin: Carolin SabathSound- & Musikquellen:"Upbeat Forever" by Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 Licensehttp://creativecommons.org/licenses/by/4.0/"Jungle Shaman" by tabletopaudio.com"Jungle Shaman (Ambience Only)" by tabletopaudio.com"Fire Dance" by tabletopaudio.comAll sounds from tabletopaudio.com are licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).Mehr Infos zu unseren Aktionen und Werbepartnern findest du auf https://kerkerkumpels.de/links/aktionen/Unsere allgemeinen Datenschutzrichtlinien finden Sie unter https://art19.com/privacy. Die Datenschutzrichtlinien für Kalifornien sind unter https://art19.com/privacy#do-not-sell-my-info abrufbar.

Sam welcomes Dr. Nijay Gupta to the Rainer on Leadership podcast. He is a senior translator for the New Living Translation, a Professor of New Testament at Northern Seminary, and the author of several academic books including most recently A Beginner's Guide to New Testament Studies and Tell Her Story. He has a PhD in New Testament from the University of Durham, and co-hosts the Slow Theology podcast with A. J. Swoboda. The post A Behind-the-Scenes Look at a Bible Translation Committee (What Really Happens) appeared first on Church Answers.

Eesti mängude kuu jätkub! Täna külas Erik Ivar Haav, kelle mäng BRUTALISTICK VR läks üsna viraalseks. Kas seda edu on võimalik korrata ja milliseid läbimõeldud otsuseid Erik selle edu jaoks tegi, kuuleme saatest!  Üritame välja tuua ka mängud mis viimase nädala miljonist eri üritusest silma jäid ja kas tõesti Sony oli neist kõige nõrgem? Rein üritab Sarost ja Long Darki, Rainer proovis 007 vahele värsked Onimusha ja Star Foxi demod.  Peatükid: 00:00:00 - Intro 00:07:29-  Eesti mängude kuu intervjuu  00:44:04 - Uudised 01:14:00 - Retro 01:22:00 - Mängitud 01:49:00 - Outro   Lingid: https://store.steampowered.com/app/2669380/BRUTALISTICK_VR/ https://gamesrecap.io/?showcases=277,294,297,278,279,288,295,298,289,292,293,296,301,283,304,284,306,305,290,307,291,302,308,280,300,309 https://www.polygon.com/summer-games-fest-2026-release-dates/ https://www.eurogamr.net/steam-valve-ends-physical-gift-cards-scams

Brandes, Rainer www.deutschlandfunk.de, Kommentare und Themen der Woche

Eesti mängude kuu saab käima lükatud suure ja pika saatega, kus on külaliseks Jim Ashilevi ZAUMist. Jim on olnud väga mitme nurga alt seotud stuudio teise, verivärske mänguga Zero Parades. Nüüd ta räägib sellest kõigest väga põhjalikult. Uudistes räägime mõistagi Sony State of Play'st, kus tuli päris mitu üllatust. Rein aga käis vahepeal Malmös Nordic Game konverentsil ja jagab muljeid. Rein on edasi mänginud Sarost ja Rainer uut Bondi mängu, lisaks veel värske kraamina Mina the Holloweri. Soovituseks on Gears of Wari allahindlus Steamis. Lingid: https://www.ign.com/articles/playstation-state-of-play-june-2026-everything-announced https://www.digitalfoundry.net/news/2026/06/asus-rog-xbox-ally-x20-and-msi-claw-8-ex-aiplus-pc-handhelds-announced-at-computex https://atari.com/pages/toy-story https://www.summergamefest.com/events

Natalie Rainer is the Engagement Manager for Bike Walk RVA, an organization under the umbrella of Richmond SportsBackers.  From their website: "Bike Walk RVA is Sports Backers' program to advocate for comfortable and connected places to bike and walk for people of all ages and abilities. From signature, regional projects like the transformational Fall Line trail to neighborhood traffic calming and an expanding network of connected, protected bike lanes, our mission is to get more people biking and walking through developing advocate leaders who focus on changing our built environment to make active transportation desirable for anyone." The wide-ranging conversation includes topics like cyclist and pedestrian safety, the goal of zero cyclist nor pedestrian fatalities via the Vision Zero program, Sports Backers events, and Natalie's own story of when she and her friend Jonah Holland were struck by an intoxicated motorist while cycling.  The horrible event resulted in a long and painful recovery for Natalie, and while she survived, Jonah lost her life.  That tragic event caused Natalie to make advocacy her mission.  Bike Walk RVA Good Eye Podcast

Brandes, Rainer www.deutschlandfunk.de, Das war der Tag

Me oleme mänginud värsket Bondi mängu 007 First Light ja see on tõesti väga hea. Seletame lahti, kuidas täpsemalt. Martin on mänginud ka ZA/UMi uut mängu Zero Parades: For Dead Spies. Uudistes muidugi GTA VI, uus Call of Duty ja The Witcher 3 lisapakk. Destiny 2 arendamine lõpetatakse, Unreal 6 õrritatakse ja Steam Deck muutus oluliselt kallimaks. Uusi mänge on veel. Rainer on mänginud Lego Batmani ehk Legacy of the Dark Knighti ja Yoshi and the Mysterious Booki. Soovituseks on Euronicsi Playstationi allahindlus. Peatükid: 00:00:00 - Intro 00:08:34 - Uudised 00:35:39 - Retro 00:39:42 - Mängitud 01:18:15 - Soodsalt Lingid: https://www.eurogamer.net/gta-6-release-date-reaffirmed https://www.eurogamer.net/call-of-duty-modern-warfare-4-reveal https://www.eurogamer.net/destiny-2-live-service-layoffs-destiny-3 https://www.eurogamer.net/rumoured-witcher-3-third-expansion-announced https://www.eurogamer.net/rocket-league-unreal-engine-6-tease https://www.eurogamer.net/steam-deck-price-increase https://www.eurogamer.net/fortnite-apple-app-store-ios-return https://www.eurogamer.net/star-citizen-tops-1-billion-sells-5000-unflyable-spaceship

Tate and Chris are joined by Josh Rainer & Rebeka Zeljko to discuss Spencer Pratt slamming the LA Homeless Crisis, California Governor polls are catastrophic for Democrats. violent crime plummets, Tulsi Gabbard resigns, and Hooters is dead.  SUPPORT THE SHOW BUY CAST BREW COFFEE NOW - https://castbrew.com Join - https://timcast.com/discord  Hosts: Tate @realTateBrown (everywhere) |  @TimcastTateBrown  (YT) Chris @ChrisKarr17 (X) Producer: Carter @carterbanks (X) |  @trashhouserecords  (YT) Guest: Josh Rainer @JoshRainerGold (X) Rebeka Zeljko @rebekazeljko (X) Podcast available on all podcast platforms! For advertising inquiries please email sponsorships@rumble.com