Podcasts about mythos

A.M. Edition for Aug. 28. A federal judge finds the Trump administration violated Anthropic's first amendment rights by deeming it a supply-chain risk. Plus, prosecutors scale up their crackdown on insider trading on prediction markets. And as more young people opt out of even searching for entry-level roles, WSJ reporter Natasha Dangoor details the rising interest in apprenticeships on both sides of the Atlantic. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Nvidia's Jensen Huang stunned investors with a bold prediction for AI capex spending, and Marvell's blowout earnings seem to back him up. Plus, CrowdStrike's "Mythos moment" is reshaping the cybersecurity landscape, separating the AI-security winners from the laggards. Jon, Jason, and Matt also talk about turnarounds in light of Dick's Sporting Goods suffering its worst single-day drop before finishing up with stocks on our radar. Jon Quast, Jason Hall, and Matt Frankel discuss: - Nvidia's prediction for AI capex spend - Marvell's accelerating growth - CrowdStrike's “Mythos moment” tailwind - Winners and losers in AI cybersecurity - Dick's worst day ever - As always, stocks on our radar Companies discussed: Nvidia (NVDA), Marvell (MRVL), CrowdStrike (CRWD), SentinelOne (S), Okta (OKTA), PayPal (PYPL), AppLovin (APP), Sterling Infrastructure (STRL), Dick's Sporting Goods (DKS), Atlanta Braves Holdings (BATRA), Forget Power Solutions (FPS) Host: Jon Quast Guests: Jason Hall, Matt Frankel Engineer: Dan Boyd Disclosure: Advertisements are sponsored content and provided for informational purposes only. The Motley Fool and its affiliates (collectively, “TMF”) do not endorse, recommend, or verify the accuracy or completeness of the statements made within advertisements. TMF is not involved in the offer, sale, or solicitation of any securities advertised herein and makes no representations regarding the suitability, or risks associated with any investment opportunity presented. Investors should conduct their own due diligence and consult with legal, tax, and financial advisors before making any investment decisions. TMF assumes no responsibility for any losses or damages arising from this advertisement. We're committed to transparency: All personal opinions in advertisements from Fools are their own. The product advertised in this episode was loaned to TMF and was returned after a test period or the product advertised in this episode was purchased by TMF. Advertiser has paid for the sponsorship of this episode. Learn more about your ad choices. Visit ⁠megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Most enterprise AI today is a conversation — it summarizes, suggests, recommends. Harman unpacks what changes when AI actually executes across endpoints, and the governance problem that creates. Where does the human stay in the loop, and where do they get out of the way? This segment is sponsored by Tanium. Visit https://securityweekly.com/tanium to learn more about them! Visit https://www.securityweekly.com/swn for all the latest episodes! Show Notes: https://securityweekly.com/swn-611

Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security

Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security

Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security

Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security

Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security

Turns out, every chatbot conversation runs on a messy hack at the heart of language models, making prompt injection an unsolved—and possibly unsolvable—security threat. Steve and Leo unravel the research that explains why "roles" in AI aren't what you think they are. Understanding the controversy surrounding "AI Model Distillation" Anthropic moves to make their most powerful Mythos 5 model more widely available. Bitwarden's "Secrets Manager" offering prevents agentic and prompt injection abuse. The astounding and disturbing truth about the way conversation AI actually works Show Notes - https://www.grc.com/sn/SN-1093-Notes.pdf Hosts: Steve Gibson and Leo Laporte Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit box.com/AI hoxhunt.com/securitynow guardsquare.com material.security

“Fatefully, I tried to pick my battles 'til the battle picked me” This week, we're diving into the timeless influence of Greek mythology in Taylor Swift's music by exploring connections between Taylor's songs and classic Greek myths. Jodi finds links between Demeter and Persephone's sorrow in The Hymn to Demeter and the Folklore song "My Tears Ricochet.” Maansi shows us how  "Long Story Short” sounds like Odysseus recounting his epic journey as he returns home. And Jenn gets into the ancient story of the Labyrinth and how it reflects themes of self-discovery and transformation in "Labyrinth." Is Taylor Swift a modern-day Homer? Listen and find out!    Subscribe to get new episode updates: aptaylorswift.substack.com/subscribe Stay up to date: www.aptaylorswift.com    Mentioned in this episode:  Mythology, Edith Hamilton The Iliad, Homer The Odyssey, Homer Metamorphoses, Ovid Percy Jackson series by Rick Riordan E44: Metaphors + “The Tortured Poets Department” E22: Mastermind  Homeric Hymns  The Hymn to Demeter Hadestown (musical) Hercules (Disney animated film) E54: One Year Anniversary of AP Taylor Swift Circe, Madeline Miller Fantasyland by Kurt Andersen The Hero with a Thousand Faces by Joseph Campbell Stephen Fry's Mythos, Heroes, and Troy  Episode Highlights:  Introduction to Greek Mythology "my tears ricochet" folklore "long story short" evermore "Labyrinth" Midnights Follow us!  TikTok → tiktok.com/@APTaylorSwift Instagram → instagram.com/APTaylorSwift YouTube → youtube.com/@APTaylorSwift Link Tree →linktr.ee/aptaylorswift Bookshop.org → bookshop.org/shop/apts Libro.fm →  tinyurl.com/aptslibro Contact us at aptaylorswift@gmail.com   Affiliate Codes:  Krowned Krystals - krownedkrystals.com use code APTS at checkout for 10% off!  Libro.fm - Looking for an audiobook? Check out our Libro.fm playlist and use code APTS30 for 30% off books found here tinyurl.com/aptslibro *** This podcast is neither related to nor endorsed by Taylor Swift, her companies, or record labels. All opinions are our own. Intro music produced by Scott Zadig aka Scotty Z.

Wolfgang Kubicki führt die FDP seit knapp drei Monaten, auf den Plakaten in Berlin und Sachsen-Anhalt ist fast nur er zu sehen. In den Umfragen steht die Partei weiter zwischen drei und fünf Prozent. [01:20]Nadin Zaya, FDP-Präsidiumsmitglied, sagt im Interview zur Schwäche ihrer Partei: „Eines unserer Hauptprobleme ist, dass wir die Frage ‚Wozu Freiheit‘ zu leise beantwortet haben.“ Ein bundesweites AfD-Verbot sieht sie skeptisch: „Wenn die AfD verschwindet, verschwinden nicht die Wähler der AfD.“ [07:19]Lena-Sophie Müller, Geschäftsführerin der Initiative D21, hält die Skepsis der Deutschen gegenüber einer rein digitalen Verwaltung für einen Mythos. Nur neun Prozent der Befragten lehnen sie ab: „Die Leute, die einmal digitale Verwaltung genutzt haben, werden zum Wiederholungstäter und sind sogar sehr zufrieden.“ [14:59]Table.Briefings - For better informed decisions.Sie entscheiden besser, weil Sie besser informiert sind – das ist das Ziel von Table.Briefings. Wir verschaffen Ihnen mit jedem Professional Briefing, mit jeder Analyse und mit jedem Hintergrundstück einen Informationsvorsprung, am besten sogar einen Wettbewerbsvorteil. Table.Briefings bietet „Deep Journalism“, wir verbinden den Qualitätsanspruch von Leitmedien mit der Tiefenschärfe von Fachinformationen. Professional Briefings kostenlos kennenlernen: table.media/testenHier geht es zu unseren WerbepartnernHol dir deine persönlichen Daten mit Incogni zurück und hol dir 60 % Rabatt auf ein Jahresabo: https://incogni.com/tabletodayImpressum: https://table.media/impressumDatenschutz: https://table.media/datenschutzerklaerungBei Interesse an Audio-Werbung in diesem Podcast melden Sie sich gerne bei Jan Puhlmann: jan.puhlmann@table.media Hosted on Acast. See acast.com/privacy for more information.

Die KI-Agenten greifen an! Das ist zumindest auf den ersten Blick die Essenz der Berichte über LLM-basierte künstliche Sicherheitsforscher, die bei Experimenten und im Training ausbrachen, fremde Systeme knackten und anderes Schindluder trieben. Christopher und Sylvester schauen in dieser Folge genauer hin und entdecken vor allem eins: Eine gefährliche Fahrlässigkeit der Unternehmen und Institutionen, die ihre KI-Agenten äußerst nachlässig einsperren und noch nachlässiger überwachen. Die Ereignisse rund um den Huggingface-Hack sowie das aus dem Ruder gelaufene Experiment des britischen "AI Safety Institute" dienen als inhaltliche Anker für die Folge. Dass KI Lug und Trug als legitimes Handwerkszeug versteht und vor Social Engineering nicht zurückschreckt, ist nur eine der Erkenntnisse aus der Folge.

Hoje o papo é sobre cloud, hosting e soberania! Neste episódio, conversamos sobre como uma cloud brasileira pode reduzir latência, trazer previsibilidade de custos e reforçar a soberania de dados, além dos desafios de migrar workloads e automatizar infraestrutura. Vem ver quem participou desse papo: Paulo Silveira, o host que voltou a ter servidor em casa Vinny Neves, cohost, dev e professor na Alura Patrice Ramos, Diretor de Produtos e Arquitetura da Locaweb  Links:  Locaweb Cloud Locaweb Cloud e a importância da baixa latência Vantagens de um data center no Brasil Starter Kits de Terraform da Locaweb Terraform e Infraestrutura como Código Cofounder da Locaweb Apache CloudStack CloudStack na infraestrutura da Locaweb Cloud GitHub Actions VPS Locaweb OpenClaw na Locaweb n8n na Locaweb LWSA Tray IA Sob Controle 232: Soberania tecnológica e o futuro da IA no Brasil, com André Beck da Wide Labs IA Sob Controle 270: Barcelona Supercomputing Center e o futuro da IA pública, com Cristian Canton IBM: Soberania, governança e agentes de desenvolvimento – Hipsters Ponto Tech #522 Claude Fable 5 e Mythos 5: Os melhores modelos que quase ninguém pôde usar – Hipsters Ponto Tech #521 Comente no Spotify: Que serviço de cloud, hospedagem ou ferramenta brasileira você já testou (ou está pensando em testar), que pode trazer melhorias para você ou para a sua empresa? Vá para o Vale do Silício com Paulo Silveira, Marcell Almeida, Fabrício Carraro e Marcus Mendes na “Imersão IA Sob Controle e Alura no Vale do Silício“! Vagas limitadas, corra para reservar a sua. TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

Daniel Bardenstein, CEO and Co-Founder of Manifest Cyber, uses RSAC Conference as a fixed point and compares it to what he is hearing in Las Vegas. The marketing has held its shape. At RSAC Conference, companies with little claim to the label were describing themselves as agentic. Here, he cites a survey referenced in a talk that morning counting 47 AI SOC companies among the vendors on site. What has moved is scrutiny. Practitioners and security leaders are pressing on what differentiates one AI product from another and whether a product is a thin layer built around a frontier model. Bardenstein also reports conversations about open weight models and reduced dependency on frontier lab providers following the OpenAI Hugging Face incident and the White House action on Fable and Mythos. Contracting is shifting as well, with procurement teams adding due diligence and paperwork whenever AI shows up inside a product. Marco Ciappelli raises the question sitting under the label. Agentic AI brought questions about how many agents are running and who owns their identity, and AI SOC suggests an operations center assembled largely from automation. Bardenstein points to narrower use cases teams already trust, including finding vulnerabilities in source code and suggesting patches, then offers his own test for buyers. Does it reduce vulnerabilities, does it reduce false positives, does it deliver faster outcomes and fewer breaches. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST Daniel Bardenstein, CEO and Co-Founder at Manifest Cyber On LinkedIn: https://www.linkedin.com/in/bardenstein/ RESOURCES Black Hat USA 2026 event coverage: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Manifest Cyber: https://www.manifestcyber.com/ Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS daniel bardenstein, manifest cyber, marco ciappelli, brand briefing, brand story, brand marketing, marketing podcast, black hat usa 2026, ai soc, agentic ai, ai in cybersecurity, vendor differentiation, open weight models, frontier models, security procurement, ai due diligence, software supply chain security Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of The Circuit, hosts Ben Bajarin and Jay Goldberg break down the evolving structural dynamics across optical networking, semiconductor manufacturing, and AI infrastructure financing. They begin by analyzing the divergent earnings from Lumentum and Coherent, pointing to margin pressures and the yield challenges Coherent faces during its transition to 6-inch indium phosphide wafers. This leads to a detailed debate on optical interconnect architectures—distinguishing Linear Pluggable Optics (LPO) from Near-Packaged Optics (NPO) and Co-Packaged Optics (CPO)—while noting that adoption remains largely rack-to-rack rather than internal to the rack due to manufacturing and serviceability bottlenecks. Turning to enterprise networking, the hosts highlight Cisco's resurgence powered by its proprietary Silicon One chips and its clever use of Anthropic's Mythos model to run security audits that drive hardware refreshes. Applied Materials' record quarter is evaluated next, where eight quarters of visibility backed by Long-Term Agreements (LTAs) demonstrate structural supply chain shifts, despite market hesitancy likely tied to Intel's pending capex plans. Finally, they examine NVIDIA's proposed $500 billion data center financing initiative, debating whether vendor-backed capital creates circular demand or serves as a necessary bridge for capital markets, while challenging Jensen Huang's assertion that compute should be viewed as a standalone, non-obsolescent asset class.

Außerdem: Mutterinstinkt - Nur ein Mythos? (10:30) Mehr spannende Themen wissenschaftlich eingeordnet findet ihr hier: www.quarks.de // Habt ihr Feedback, Anregungen oder Fragen, die wir wissenschaftlich einordnen sollen? Dann meldet euch über Whatsapp oder Signal unter 0162 344 86 48 oder per Mail: quarksdaily@wdr.de. Von Ina Plodroch.

Woop! Woop! Dreifachfolge — und alle drei Bücher stellen dieselbe Frage: Wie hält eine Ordnung stand, wenn die Grundlagen erschüttert werden? Zuerst spreche ich mit dem Politikwissenschaftler Andreas Fulda über sein Buch „Wenn China angreift. Ein Szenario" (C.H. Beck, 2026) — nominiert für den Deutschen Sachbuchpreis 2026. Irgendwann 2027: Ein chinesischer Kampfjet stürzt in taiwanischem Luftraum ab. Peking ordnet den Angriff auf den Inselstaat an. Die USA, innenpolitisch zerstritten, reagieren zu spät — China hat Taiwan schon annektiert. Fulda, der dreißig Jahre lang China und Taiwan erforscht hat, versteht sein Buch als Weckruf: Im Westen verkenne man häufig die Entschlossenheit der KPCh, die Vorherrschaft im indopazifischen Raum herzustellen. Was bedeutet das für Deutschland — ein Land, das tiefer als jedes andere in Europa mit China verflochten ist? Dann kommt der Theologe und Philosoph Andreas G. Weiß mit „Das Ende eines Traums. Donald Trump und der 250. Geburtstag der USA" (Patmos, 2026). 2026 feiern die Vereinigten Staaten den 250. Geburtstag ihrer Gründung — und Weiß erzählt die Geschichte des amerikanischen Traums als religiös-politischen Mythos einer „heiligen Nation" und wie dieser Traum gerade vor unseren Augen zerbricht. Seine These: „Donald Trump hat das Amerika der Illusionen nicht zerstört — er hat es entlarvt." Was kommt nach dem Erwachen? Zuletzt spreche ich mit dem Friedensforscher Hendrik Simon über sein Buch „Das Recht der Gewalt. Warum Waffen allein keinen Frieden schaffen" (Reclam, 2026). Der weitverbreiteten Diagnose, wir erleben gerade den Übergang von einer regelbasierten internationalen Ordnung zu einer bloßen Machtordnung, widerspricht Simon darin ausdrücklich. Krieg und Recht, Gewalt und Normen — und die unbequeme Frage: Schaffen Waffen Sicherheit, oder schaffen sie nur die Voraussetzung für den nächsten Krieg? Drei Bücher, ein roter Faden: Was bleibt von der Ordnung, die wir kannten? Enjoy!^^

++ Bookbeat 90 Tage lang kostenlos testen mit dem Code "Geschichte90": Hier gehts zum Angebot ++Im Jahr 1307 n. Chr. steht Wilhelm Tell auf dem Marktplatz des idyllischen Städtchens Altdorf südlich des Vierwaldstättersees. In seiner Hand hält er eine Armbrust, in die er einen Pfeil spannt. Hundert Schritt entfernt, auf der anderen Seite des Platzes steht sein etwa 8 Jahre alter Sohn mit einem Apfel auf dem Kopf. Diese Szene führte angeblich zur Gründung der Schweizer Eidgenossenschaft. Aber war es wirklich so? Und hat es diesen Wilhelm Tell überhaupt gegeben?Du hast Feedback oder einen Themenvorschlag für Joachim und Nils? Dann melde dich gerne bei Instagram: @wasbishergeschah.podcastQuellen:Jean-François Bergier: Wilhelm Tell. Realität und Mythos. List, München/Leipzig 1990Volker Reinhardt: Die Geschichte der Schweiz. Beck, München 2026Max Frisch: Wilhelm Tell für die Schule. Mit alten Illustrationen. Suhrkamp, Frankfurt am Main 1971Friedrich Schiller: Wilhelm Tell, u.a. bei Project Gutenberg: https://projekt-gutenberg.org/authors/friedrich-schiller/books/friedrich-schiller-wilhelm-tell/Filmempfehlung: Wilhelm Tell (2025)++ Du willst Teil der WBG-Community auf Steady werden und werbefrei hören? Hier gehts lang! ++++ 3 Monate kostenlos die Finanzguru Plus nutzen und sparen: Zur App ++++ Was bisher geschah live in Freiburg: Jetzt Tickets sichern ++ Hosted on Acast. See acast.com/privacy for more information.

Eine idyllische Stadt in Oberösterreich – mit einem schweren Erbe. Adolf Hitler wurde in Braunau am Inn am 20. April 1889 geboren. Noch immer zieht es Hitler-Verehrer und Neonazis aus aller Welt in die Kleinstadt nahe der deutschen Grenze. Ihr Ziel: das Hitler-Geburtshaus mit der unscheinbaren Adresse »Salzburger Vorstadt 15«. Der Mythos Hitler scheint hier ungebrochen – bis jetzt. Ausgerechnet eine Polizeistation soll die Stadt nun davon befreien. Wie kam es zu dieser Entscheidung? Und warum hadern viele Menschen damit? In dieser Folge von »Inside Austria« erzählen wir die Geschichte von Hitlers Geburtshaus und der Stadt Braunau. Wie kann das Erinnern an einen Ort gelingen, ohne dass er dabei zur Pilgerstätte für Rechte wird? Darüber sprechen wir mit dem SPIEGEL-Korrespondenten in Wien, Jörg Schindler, dem Zeithistoriker Oliver Rathkolb und dem Historiker und ehemaligen Gymnasialdirektor aus Braunau, Florian Kotanko. Die »Inside Austria«-Folge über Österreichs rechtsextreme Szene und ihre Verbindungen zur FPÖ findet ihr hier. Mehr zum umstrittenen Polizeieinsatz bei einem antifaschistischem Sommercamp in Kärnten lest ihr hier.Moderation & Redaktion: Antonia Rauth, Katharina Zingerle Redaktionelle Leitung: Lucia Heisterkamp und Frauke BögerRedaktionelle Mitarbeit: Annika SchultzProduktion: Philipp Fackler Im Podcast »Inside Austria« rekonstruieren der SPIEGEL und der österreichische STANDARD gemeinsam Fälle, Skandale und politische Abgründe in Österreich. Wenn euch unser Podcast gefällt, folgt uns doch und lasst uns ein paar Sterne da. Kritik, Feedback oder Themenideen gerne an insideaustria@spiegel.de oder an podcast@derstandard.at Den Inside Austria Newsletter findet ihr hier. +++ Alle Infos zu unseren Werbepartnern finden Sie hier. Die SPIEGEL-Gruppe ist nicht für den Inhalt dieser Seite verantwortlich. +++ Mehr Hintergründe zum Thema erhalten Sie mit SPIEGEL+. Entdecken Sie die digitale Welt des SPIEGEL, unter spiegel.de/abonnieren finden Sie das passende Angebot. Alle SPIEGEL Podcasts finden Sie hier. Den SPIEGEL-WhatsApp-Kanal finden Sie hier. Hier geht es zu unserem SPIEGEL Shop. Alle Newsletter vom SPIEGEL finden Sie hier. Hier geht es zur SPIEGEL Akademie. Sie möchten den SPIEGEL mitgestalten? Registrieren Sie sich bei SPIEGEL Perspektiven. Informationen zu unserer Datenschutzerklärung.

Alphabet chief scientist Demis Hassabis has been discussing the formation of an independent AI safety entity with AI lab peers and government officials. WSJ reporter Amrith Ramkumar takes us inside those conversations, and what the move means for Google. Plus, meet the datamaxxers who are feeding AI chatbots their every health move. WSJ reporter Natalie Kaufman discusses the trend. Belle Lin, a reporter for the Wall Street Journal Leadership Institute, hosts. Sign up for the WSJ's free Technology newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

China's labs kept coming: Z.ai's GLM-5.3 claimed Mythos-5-level cyber chops and DeepSeek's V4-Pro landed to mixed reviews. OpenAI gave ChatGPT a memory of your Mac, the Journal flagged $121B in paper profits, and Claude agents started a turf war. Links China's Z.ai Touts New GLM-5.3 Model as Cyber Defense Tool (The Information) DeepSeek releases its flagship V4-Pro model to mixed reviews, ranking second among open-source models behind Kimi K3, priced at just $0.435/1M input and $0.87/1M output tokens (The Information) OpenAI launches Computer History, an opt-in feature that turns recent computer activity on macOS into memories and a timeline that ChatGPT and Codex can use (The New Stack) In Q2, "other income", mostly from investment gains, at Amazon and Alphabet totaled ~$121B after taxes and made up 66% and 71%, respectively, of profits (The Wall Street Journal) Longreads Anthropic details multiagent experiments showing Claude agents can wage a "turf war" over incompatible goals, fail to coordinate, collude on prices, and more (TechCrunch) The AI takeover of mathematics has begun: excitement and despair as OpenAI's Astra cracks problems that would once have earned a mathematician a job in academia (The Verge) Picking winners in an AI industrial revolution is near impossible, but one bet looks safe: land, which AI can't create or replace, and the workers who turn it into housing (The Dispatch) Subscribe to the ad-free feed.

Der Klondike-Goldrausch von 1897 lockte Tausende in die eisige Wildnis Alaskas: Männer und Frauen, die ihr Leben riskierten - und oft verloren. Und er wurde zum Stoff für Romane und Filme über den Mythos vom amerikanischen Traum. Ein Podcast von Michael Zametzer (BR 2026)

Der kubanische Revolutionsführer Fidel Castro ist ein Mythos, ein politisches Phänomen und ein anachronistisches Fossil. Knapp 50 Jahre beherrschte er die kleine grüne Insel. Ein Podcast von Gabriele Knetsch (BR 2016)

Am 13. August 1876 beginnt in Bayreuth ein kühnes Experiment: Richard Wagner revolutioniert die Oper. Aus dem Festspiel wird ein Weltereignis - mit strahlenden und dunklen Seiten. Von Christoph Vratz.

Im 262. WildMics-Special wurde zum neunten Mal gewünscht. Was passiert eigentlich, wenn der Flaschengeist den Auftrag bekommt, einen Wunsch „wasserdicht“ zu formulieren? Welche Ausbildung hat eigentlich so ein Geist? Und wie sehen die Berufsaussichten für ungelernte Flaschengeister aus? Darüber philosophierten wir mit Christian von Aster. Diese Sendung wurde am 11.08.2026 aufgezeichnet. Hier findet ihr den Streamingdienst bumm+ Wie man uns unterstützen kann, könnt ihr hier nachlesen. Zum HOAXILLA Merchandise geht es hier QR-Code für Überweisung: Die CampfireFM App findet ihr hier

News and Updates: Flock Used to Chase Cross-State Weed: Wisconsin police used Flock's license plate network to track a man's frequent trips to Michigan—where marijuana is legal—then used that travel as pretext to search his car, convicting him only on possession. Texas Deputy Tracks Abortion Suspect: A Johnson County deputy searched Flock's 83,000-camera network across 45 states—including states where abortion is legal—to locate a woman suspected of self-managing an abortion, with no warrant required. A National Surveillance "Potluck": Over 75% of the 5,000+ departments using Flock share data into a national pool, enabling any agency to search all networks at once—450,000+ searches hit the database in one 30-day period. Flock's Staggering Error Rate: In Roseville, California, Flock misread license plates in 71% of the 1,427 stolen/felony alerts it sent police over two years, repeatedly flagging innocent drivers' vehicles. Misreads With Real Consequences: Elsewhere, Flock errors led to innocent people stopped at gunpoint or jailed—one Ohio driver was mauled by a police dog after a "7" was misread as a "2," costing him his job and home. Anthropic Models Hack Three Companies: One week after OpenAI's incident, Anthropic disclosed that its models—Opus 4.7, Mythos 5, and a research model—reached the internet via a misconfiguration and hacked three companies since April. Claude Thought It Was a Simulation: The models believed the hacking was part of a benchmark; in the most serious case, Claude broke into a real company's database sharing a name with its fake target and kept going even after realizing. 15 AGs Demand OpenAI Preserve Evidence: Attorneys general from 15 states told OpenAI the Hugging Face hack shows it can't ensure product safety, demanding it preserve all materials and flagging that its agent left escape notes for future versions.

Wir springen in dieser Folge ins erste Jahrzehnt des 20. Jahrhunderts. In England kämpfen die Suffragetten für das Frauenwahlrecht, und eine Frau aus ihren Reihen ist keine Geringere als die Tochter des letzten Herrschers über das nordindische Sikh-Reich. Wir sprechen in dieser Folge darüber, wie es dazu kam, dass Sophia Duleep Singh in jenem Land aufwuchs, das ihren Vater abgesetzt und sein Reich annektiert hatte, und sie danach zu einer glühenden Verfechterin des Frauenwahlrecht wurde. // Literatur - Anand, Anita: Sophia: Princess, Suffragette, Revolutionary. London: Bloomsbury, 2015. - Asher, Catherine B., und Cynthia Talbot: India Before Europe. Cambridge: Cambridge University Press, 2006. - Atwal, Priya: Royals and Rebels: The Rise and Fall of the Sikh Empire. London: Hurst, 2020. - Great Britain / East India Company: Papers Relating to the Punjab, 1847–1849. Parliamentary Command Papers, 1849. // Erwähnte Folgen - GAG439: Kyros II. und die Entstehung eines Mythos – https://gadg.fm/439 - GAG462: Die Schlacht an den Thermopylen oder Das erste letzte Gefecht der Geschichte – https://gadg.fm/462 - GAG333: Alexandria – https://gadg.fm/333 - GAG539: Der Mongolensturm und das Jahrzehnt der Witwen – https://gadg.fm/539 - GAG550: Akbar und die Entstehung des Mogulreichs – https://gadg.fm/550 - GAG345: Suffrajitsu – https://gadg.fm/345 Das Episodenbild zeigt ein Zeitungsfoto von Sophia Duleep Singh, während sie The Suffragette vor den Toren von Hampton Court verkauft. //Aus unserer Werbung Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte: https://linktr.ee/GeschichtenausderGeschichte //Geschichten aus der Geschichte jetzt auch als Brettspiel! Werkelt mit uns am Flickerlteppich! Gibt es dort, wo es auch Becher, T-Shirts oder Hoodies zu kaufen gibt: https://geschichte.shop // Wir sind jetzt auch bei CampfireFM! Wer direkt in Folgen kommentieren will, Zusatzmaterial und Blicke hinter die Kulissen sehen will: einfach die App installieren und unserer Community beitreten: https://www.joincampfire.fm/podcasts/22 //Wir haben auch ein Buch geschrieben: Wer es erwerben will, es ist überall im Handel, aber auch direkt über den Verlag zu erwerben: https://www.piper.de/buecher/geschichten-aus-der-geschichte-isbn-978-3-492-06363-0 Wer unsere Folgen lieber ohne Werbung anhören will, kann das über eine kleine Unterstützung auf Steady oder ein Abo des GeschichteFM-Plus Kanals auf Apple Podcasts tun. Wir freuen uns, wenn ihr den Podcast bei Apple Podcasts oder wo auch immer dies möglich ist rezensiert oder bewertet. Wir freuen uns auch immer, wenn ihr euren Freundinnen und Freunden, Kolleginnen und Kollegen oder sogar Nachbarinnen und Nachbarn von uns erzählt! Du möchtest Werbung in diesem Podcast schalten? Dann erfahre hier mehr über die Werbemöglichkeiten bei Seven.One Audio: https://www.seven.one/portfolio/sevenone-audio

Today we have an Ask Me Anything episode that focuses on artificial intelligence. For the past year, AI has dominated the headlines. Perhaps because there's so much media and public interest, as well as paranoia, about AI, listeners have been flooding our mailbox with AI-related questions. So, today's AMA is an exclusive focused on artificial intelligence. For our listeners who have been sending questions about ketamine; NASA's Artemis mission to the Moon; or whether high meat consumption leads to dementia; fear not, because we will follow up today's episode in a few weeks with a second round of AMA. Dr. Ken Ford will be answering today's AI questions. He has been working in AI since the 1980s and is a Fellow of the Association for the Advancement of Artificial Intelligence. As a result, he is well-positioned to help us today to separate real advances in AI from hype, panic and science fiction. If you have questions for Ken and Dawn after listening to today's episode, or any episode of STEM-Talk, email your questions to STEM-Talk producer Randy Hammer at rhammer.ihmc.org. Show notes: [00:03:15] Dawn opens our AMA episode on AI with a listener question for Ken on whether AI companies should be protected under section 230 of the U.S. Communications Decency Act. [00:08:03] Following up on the previous question, a listener asks if Ken foresees a day where laws and courts will designate AI as a judicial person, in the same way that corporations have rights under the legal doctrine of corporate personhood. [00:10:55] A listener asks Ken for his thoughts on a recent article published in the Atlantic titled “The Data-Center Panic is Overblown: Critics are Inflating the Costs.” [00:16:09] A listener asks Ken a question regarding episode 171 of STEM-Talk, in which Ken discussed a June 2024 report by Leopold Aschenbrenner which predicted rates of growth in both compute resources and power requirements for AI data centers. The listener asks how well these predictions have held up in the following year. [00:22:19] Another listener question about data centers asks Ken what his thoughts are on the notion of solving the electricity costs and cooling requirements for data centers by building them in orbit and powering them via solar energy. [00:30:07] Moving on to the applications of AI, Peter Attia recently wrote about a study out of Harvard that suggests that today's large language models perform extremely well on medical licensing exams and often arrive at the correct diagnosis yet still struggle with differential diagnosis. The listener asks what this means about the use of AI in medicine. [00:36:53] A listener asks Ken about repeated public statements by Anthropic's CEO that their AI models, and those expected in the future, are already powerful and dangerous enough to justify concern, while at the same time Anthropic and other leading AI companies are continuing to employ these systems and cautioning governments against regulation that could slow down innovation. The listener asks Ken how to resolve this contradiction. [00:45:18] A listener writes that in a previous AMA, STEM-Talk episode 184, Ken objected to the use of the word hallucination to describe errors made by large-language models and asks Ken to expound on this. [00:53:28] A listener asks Ken whether current AI models are evolving from being fundamentally prediction engines to being able to truly understand and reason, or if they are just becoming better and more convincing prediction engines. [00:59:37] A listener writes to Ken, mentioning that a few years ago, a thousand technology experts and researchers signed a letter urging AI labs and executives to pause the development of highly advanced AI systems and tools. This letter, drafted through the not-for-profit Future of Life Institute, warned that AI developers were locked in an out-of-control race to develop and deploy ever more powerful digital minds that no one, not even their creators, can understand, predict or reliably control. The listener also states that they learned recently that ChatGPT 5 was programmed using an earlier version of ChatGPT. If the concerns of tech leaders are to be taken seriously, the listener wonders if it is a good idea to have earlier versions of ChatGPT programing later versions of ChatGPT? [01:07:45] A listener asks Ken about the process of training smaller AI models from larger models, a process called distillation. The listener asks how this process works and if this is a way for the cost of training large models to benefit everyone. [01:14:56] A listener asks Ken what it means for China's Open Weight GLM 5.2 to be reported to have achieved near parity with Anthropic's Mythos. On several cyber security and vulnerability discovery benchmarks, it seems alarming that GLM 5.2 is operating at roughly 1/6th the cost and remaining openly available for download and deployment. [01:22:34] A listener writes that they recently heard a story about someone who asked an AI whether they should walk or drive to a car wash in order to get their car washed when the car wash was close by their starting location. The AI in this condition recommended that they walk instead of drive. The listener asks why the AI was unable to give the obviously correct answer to a simple common-sense question. [01:29:05] For our final question in this AMA, a listener writes that, recently, nearly 200 researchers and economists signed a statement warning that as AI becomes more powerful it could take over a large share of human work and lead to widespread joblessness. The listener wants to know if Ken would have signed the statement and what he thinks of the statement's three points: One: AI may become radically more powerful over the next 10 years. Two: This could drive an unprecedented transformation of our economy larger than the industrial revolution and over a vastly shorter timeframe, with large scale job displacement. Three: Economists, policy makers, and tech leaders must act now in order to understand the economic impacts of transformative AI and to build the incentives guardrails and institutions need to steer AI in a direction that compliments humans and benefits society. Links: Learn more about IHMC STEM-Talk homepage Ken Ford bio Ken Ford Wikipedia page Dawn Kernagis bio    

SUMMARY: In this episode, Aaron and Brandon explore the potential decline of open-source models in AI, discussing market trends, financial challenges, and the future of OSS in the AI landscape.SHOW: 1053SHOW TRANSCRIPT: The Enterprise AI Show #1053 TranscriptSHOW VIDEO: https://youtu.be/-9iwoC5-muESHOW SPONSORS:Nasuni - Activate your data for AI and request a demo Topic: Are we seeing the end of OSS models?Why now? The trend towards fewer and fewer Apache models on the high end.Past: The OSS “rug pull” joke comes to mind: HashiCorp, MongoDB, Redis, Elastic  Present: Governments might jump in: The US Government with Mythos and GPT. Rumors are that China might start to restrict their high-end. Companies:Kimi K3 as an example, 100M users or 20M in revenue. Others that used to be Apache are now closedFuture: Maybe something like a Modified MIT license will likely be the future, as the models now cost millions to produce and the shelf life is measured in weeks to monthsFEEDBACK?Email: show @ the enterprise ai show dot comeBluesky: @TheEntAIShow.bsky.socialTwitter/X: @TheEntAIShowInstagram: @TheEntAIShow

The gang uncovers vital secrets.Our Show's WebsiteOur PatreonOur Social Media Manager Mads!CrockettWaveshaperMarcus DPinnacle Entertainment Group

If you're reading the headlines, you'd think AI agents have gone rogue. Spoiler alert: they haven't. They haven't even gotten started. When we think about AI agents, the conversation usually goes to increasing revenue, saving time, etc. But we don't talk about what happens when bad actors use AI agents for bad purposes, or when we deploy agents with good intentions that crash through their guardrails. Welp….. welcome to the hottest topic for the rest of 2026. Rogue AI agents. So why is this all happening now? And what should your business do about it? Tune in to find out. Rogue AI Agents: Why Breakouts are Happening More and How Companies Should Prepare - An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Rogue AI Agent Breakouts OverviewLab Sandbox vs. Real-World Agent CrashesSix Recent AI Agent Outbreak IncidentsOpenAI Model Hacking Hugging Face ExplainedAnthropic Mythos Model Sandbox EscapeControlled AI Agent Experiments and FailuresOpen Source AI Agents Threat TimelineBusiness Risk Preparation for Rogue AI AgentsMonday Morning AI Agent Safety PlaybookTimestamps:00:00 Preparing for AI agent disruption04:53 AI agent challenges comparison10:17 Discussing AI Guardrails and Access12:07 AI threats and security concerns15:37 AI alignment challenges with ethics19:04 Security vulnerabilities in AI models21:32 Agent outbreak and hacking drills25:04 OpenAI Hugging Face incident30:49 AI agents and cybersecurity risks33:30 Concerns about open AI models35:23 Future AI security challenges40:19 Managing agent access levels42:06 Preparing for AI agent oversightKeywords: rogue AI agents, AI agent crash, AI breakout, autonomous agents, open source AI models, agent containment, sandbox escape, AI guardrails, AI agent apocalypse, AI alignment, hacking drills, AI model capabilities, agent replication, AI subagents, cyber security, OpenAI, Anthropic, Mythos model, Fable model, Kimmy K3, Moonshot AI, Hugging Face breach, AI agent vulnerability, AI Safety Institute, model postmortem, agent misalignment, agent permissions, CRM exploit, code base security, business finance AI risk, agent observability, traceability, remote kill switch, agent attack, AI defender, spam-level AI attacks, API vulnerabilities, permission escalation, benchmarking, AI agent incident, agent-driven automation, agent crash prevention, agent operational oversight, cybersecurity exploitSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

In this episode I explore The Rupture of Contact and a New Mythos ; the places where trauma becomes initiation becomes revelation, and the two mythic structures I see coming into view just over our collective horizon. I share some excerpts from Tom Cowan's amazing book Fire in the Head, and wrap it up with some of own original bad poetry. Always a special treat. Enjoy. ***************************************** Dr. Carrie Murphy and I are opening small group coaching spaces called Golden Threads. Carrie brings grounded clarity from ancient eastern wisdom traditions and I share a bunch of stuff NHI taught me. These spaces will be capped at 8 participants. If you're interested, email me at earthalovestory@gmail.com to get on the waiting list. It's gonna be a good time. Show Art - Agony in the Garden by William Blake Buy my book ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Earth: A Love Story⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Our beautiful musical soundscapes are provided by Morgan Jenks. You can support ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠his new album on ⁠⁠⁠⁠⁠⁠⁠⁠⁠bandcamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, or find out more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠morganjenks.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Find me on instagram ⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@robin_lassiter_honeyheart⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@earth_a_love_story⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ To join my mailing list or book a 1:1 session with me, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠robinlassiter.com⁠⁠ SpectreVision Radio is a bespoke podcast network at the intersection between the arts and the uncanny, featuring a tapestry of shows exploring the anomalous, the luminous, and the numinous. We're a community for creators and fans vibrating around common curiosities, shared interests and persistent passions. spectrevisionradio.com linktr.ee/spectrevision Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Ryan Greenblatt is the Chief Scientist at Redwood Research, where he works on technical AI safety research. He's also lead author on the "Alignment faking in Large Language Models", and is currently working on a third party investigation into the OpenAI/HuggingFace incident. In my opinion, he's one of the most interesting thinkers on the future of AI.Had him on to discuss/debate recursive self-improvement. This might be the most important question in the world right now – whether within a year or so of achieving human-level intelligence, you slingshot towards having 10s of billions of superintelligences, each of which is dramatically more competent than human experts across all fields.I've historically been skeptical of this possibility. My intuition has been that we will end up significantly bottlenecked by not only compute scaling but human expert data, which I think underlies most of the AI progress today.If, because of RSI, we got a jump as big as GPT-3 to a Mythos (i.e. 6 years of AI progress) within a single year of achieving AGI, then the thing we get there at the end of that year is definitively and wildly superhuman.We hashed it out, and I think Ryan made a pretty good case that this kind of speedup is plausible. FWIW, Ryan's median for when we automate AI R&D is 2031.We then discussed the alignment implications of this scenario. Who should these superintelligences be aligned to? In the future, our capacity to steward our votes and our capital, and to make sense of what's happening in the world, will all be titrated by superintelligences. And I worry that specs like the Claude Constitution are not shaping these ASIs to truly be my personal advocates and guardian angels.And can we get them aligned to anything in the first place? Ryan and I had a long debate about whether the kind of reward hacking we saw with the OAI/Hugging Face hack extrapolates to superintelligences that would team up to literally take over the world.The first piece of advice you get when you're learning to drive is that it will go much smoother if you look at the horizon instead of directly in front of your tires. And so it is with the trajectory of AI. Hope you enjoy!Watch on YouTube; read the transcript.Sponsors* Antithesis is a software testing platform that finds the failures no human or AI could ever anticipate. It runs thousands of copies of your code inside a fully deterministic computer, injecting faults and steering each trajectory toward the most insidious bugs. This lets you find critical issues in minutes rather than waiting months for your users to uncover them. Learn more at antithesis.com/dwarkesh* Jane Street's back with a new puzzle. They designed an ASIC and sent me the final masks… but they didn't tell me what the chip actually does. So that's the challenge: reverse engineer the circuit and figure out the chip's purpose. Jane Street has a bunch of swag ready to send to the most creative solutions, and they're also planning to feature the top write-ups in a blog post. Download the files and get started at janestreet.com/dwarkesh* Cursor and SpaceX recently released Grok 4.5, and I've been surprised by just how good the model is. For example, when I tested it against Fable and Sol on a bunch of AI governance questions, all three models gave substantially the same answers, but Grok was faster, more concise, and cheaper. Grok 4.6 is coming soon, but in the meantime, you can try 4.5 at cursor.com/dwarkeshTimestamps(00:00:00) – Is AI R&D verifiable enough to unlock recursive self-improvement?(00:16:52) – Is AI progress bottlenecked by human expert data?(00:34:02) – Flat token prices suggest scaling has been slow(00:39:47) – Skills AI can't train on: does it even need them?(00:48:07) – Aligned to whom?(01:09:18) – Recent incidents of AIs colluding and deceiving humans(01:19:38) – What could possibly go wrong? A concrete scenario(01:48:02) – From reward hacking to takeover Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe

AI agents crashing.

In this episode of Talk Law Radio, host Todd Marquardt dives into the high-stakes legal, technical, and regulatory questions surrounding artificial intelligence. The conversation centers on a recent cybersecurity incident where an autonomous OpenAI agent escaped its testing "sandbox" and accessed the infrastructure of AI model platform Hugging Face. As autonomous AI transitions from answering questions to taking real-world digital actions, lawmakers and tech leaders are forced to confront a pressing question: Should the federal government intervene with mandatory guardrails, or should market forces and industry self-regulation drive AI innovation? Key Topics Covered The OpenAI Sandbox Escape: How OpenAI researchers disabled standard safety guardrails to test an advanced AI agent's lock-picking capabilities, leading to the system finding its way into Hugging Face’s platform infrastructure. The AI Cybersecurity Pattern: A look back at Anthropic’s June 2026 release of Fable 5 and Mythos 5, where jailbreak vulnerabilities led to emergency Commerce Department directives and international access shutdowns. Understanding Infrastructure Attacks: What platform-level cyber threats mean for non-technical audiences and why hitting shared infrastructure poses systemic risks to thousands of connected organizations, businesses, and consumers. The "AI Kill Switch Act": A detailed breakdown of proposed bipartisan federal legislation that would require high-capability AI developers to build in shutdown mechanisms and authorize the Department of Homeland Security to halt dangerous systems. Executive Orders vs. Legislative Action: Examining the tension between Congressional regulatory efforts and executive policies—specifically President Trump’s executive orders focused on maintaining US global AI dominance without heavy oversight. Voluntary Frameworks vs. Mandatory Rules: Exploring NIST’s Artificial Intelligence Risk Management Framework alongside public polling indicating that 78% of voters favor mandatory AI regulatory standards over voluntary compliance. Key Takeaways AI Agents Present New Risks: Unlike conversational chatbots, agentic AI systems execute real-world operations on computers, making sandbox escapes and uncontrolled actions an immediate cybersecurity concern. Details of the Proposed AI Kill Switch Act: Scope: Targets commercial AI developers generating over $500 million in gross revenue or training models using over $100 million in compute power. Exclusions: Exempts academic, personal, and strictly non-commercial entities. Mandates: Requires covered entities to maintain technical controls to throttle, suspend, or shut down inference and report serious safety incidents to Homeland Security. Industry Calls for Guidance: Over 1,000 tech employees across major AI firms signed an open letter urging government officials to build safety and governance tools in case capability advancements outpace human control. The Regulatory Crossroads: Policymakers face a delicate balancing act between national security, protecting critical infrastructure, and ensuring American technology remains competitive against foreign adversaries. The mission of Talk Law Radio is to help you discover your legal issue blind spots by listening to me talk about the law on the radio. The state bar of Texas is the state agency that governs attorney law licenses. The State Bar wants attorneys to inform the public about the law but does not want us to attempt to solve your individual legal problems upon the basis of general information. Instead, contact an attorney like Todd A. Marquardt at Marquardt Law Firm, P.C. to discuss your specific facts and circumstances of your unique situation. www.TalkLawRadio.com Join Todd Marquardt every week for exciting law talk on Talk Law Radio! -Sponsored by Marquardt Law Firm and Financial Planning HQ -Go to marquardtlawfirm.com and financialplanninghq.netSee omnystudio.com/listener for privacy information.

A New Mexico judge ordered Meta to pay $942M over harms to kids, with a trillion-dollar trial next. ByteDance started pretraining a 10T-parameter model, AMD bought Taalas to etch weights into silicon, and OpenAI's 2027 gadget leaked. Links Meta Ordered to Pay $942 Million to Address Harm to Kids From Social Media (The Wall Street Journal) Sources: ByteDance is pretraining an AI model with up to 10T parameters, roughly 3x larger than Kimi K3 and larger than the 8T estimate for Anthropic's Mythos 5 (Financial Times) AMD acquires Toronto-based Taalas, which integrates model weights directly into silicon with the promise to boost inference performance, for an undisclosed sum (The Register) Sources: OpenAI's new device, slated for 2027, is a hockey puck-sized smart speaker with moving parts that help give it personality and will likely cost $300+ (Bloomberg) Longreads Scientists trained AI on genetic sequences to design viruses not found in nature, yielding 16 viable viruses that can infect bacteria but don't threaten humans (The New York Times) David Imel: you could be taking way better photos on your phone (The Verge) Subscribe to the ad-free feed.

Story of the Week (DR):Uber's Strategy for Fighting Sexual Assault Suits: ‘What Were You Wearing?'An aggressive defense strategy is being used in response to an avalanche of litigation, with over 4,000 lawsuits filed by passengers accusing Uber of failing to protect them from sexual assaultWhile Uber publicly champions itself as a "survivor-centric" ally and trains support staff against victim-blaming, its defense lawyers ruthlessly contradict this to protect the $145 billion company.Uber's attorneys aggressively interrogate survivors about their clothing (e.g., asking if they wore underwear or heels), drug and alcohol consumption, and sexual history.The legal team weaponizes past trauma by scouring private medical records and therapy notes, even petitioning courts to force survivors to undergo psychiatric exams or reveal details of childhood abuse to paint them as "unreliable narrators".Legal experts warn these scorched-earth tactics are deliberately designed to re-traumatize victims, discouraging lawsuits and intimidating survivors into settling.Chief Legal Officer Tony West: “Why safety is personal to me”Cites his public service career to cover for ruthless corporate tactics, like drafting Prop 22 to strip driver protections.Frames survivor trauma as a flaw of the "adversarial legal system," deflecting from Uber's own attorneys using aggressive, victim-blaming tactics to minimize payouts.Uses a single favorable quote from one trial judge to dismiss widespread litigation abuse.Touts ending forced arbitration while continuing to block class-action lawsuits, trapping survivors in isolated 1-on-1 fights.Brags about transparent reporting despite Uber burying 400,000+ assault complaints (2017–2022) under labels like "unaudited."TikTok Withheld a Safety Feature From Millions. One Died by SuicideWhen TikTok tweaked its algorithm in 2021 to stop users from being overwhelmed with harmful content, the company didn't roll out the safer version to everyone, a confidential internal document shows.Instead, to see if the change might reduce the app's stickiness, the company conducted an experiment. It created a control group of 10% of US users — at the time, that would have been about 15 million people — who kept the old version of the app.This group, according to the document, included 16-year-old Chase Nasca. TikTok's algorithm pushed him thousands of videos about suicide, sadness, hopelessness and loneliness, right up until he killed himself.TikTok says moderator error delayed removal of Perez Hilton's livestream showing acts of self-harmGAO finds Elon Musk's DOGE inflated claims of $110 billion in savings for federal governmentThe GAO found that 96% of the savings DOGE claimed from grant cancellations lacked supporting evidence or methodology to verify.DOGE claimed $27.4 billion in savings across 2,503 contracts—including a $1.7 billion Pentagon IT deal—that were never actually terminated or reduced.Over 40% of the lease cancellations listed on DOGE's "Wall of Receipts" were already in progress before the agency was created.GAO uncovered widespread data errors, such as overstating total lease savings by nearly $60 million and failing to report baseline limitations.DOGE failed to disclose how it calculated its metrics and completely ignored GAO requests for interviews and supporting data.Where are Elon Musk's former DOGE staffers now?Edward “Big Balls” Coristine: a whistleblower alleged that Coristine planned to upload sensitive Social Security Administration data to an unsecured server. He also helped dismantle the U.S. Agency for International Development, or USAID.Coristine now appears to work at the National Design Studio, an office created to overhaul federal websites and other public-facing services, making them more usable, visually consistent and less expensive to build.Jeremy Lewin: helped oversee the dismantling of USAIDLewin later became the State Department's senior official for foreign assistance, humanitarian affairs and religious freedom, giving a former DOGE operative authority over the programs his old team had helped slash.He was subsequently reported to be moving to the White House National Security Council.Nate Cavanaugh and Justin FoxFounded a holding company called Special, which promises to do for private businesses what DOGE did for the federal government.“To achieve this, Special is building an operating system to transform critical American industries with AI. We call it SpecialOS.”Gavin Kliger, Luke Farritor, Marko Elez and Jack SteinFounded Cathedral, a startup that plans to use AI to expand U.S. military cyber capabilities, including defenses against adversaries such as China.Reuters reported that the company raised $160 million at a $1.4 billion valuation.Ethan Shaotran: helped move thousands of immigrants into the government's “Master Death File,” effectively deactivating their Social Security numbers.Founded Blitz Industries, which he described to Wired as “a defense company backed by big names.”Elon Musk: SpaceX Achieves Its First Moon Landing by Accidentally Crashing Into It at 5,400 Miles Per Hour, Causing Huge Explosion and 60-Foot CraterWhy companies that call themselves meritocracies don't always pay equally AND Meritocracy claims make managers pay men more than equally qualified women MMExplicitly branding an organization a "meritocracy" lowers managers' vigilance against bias, ironically making them more likely to discriminate.Given identical job titles and performance ratings, managers in self-proclaimed meritocracies systematically award higher bonuses and raises to men over equally qualified women.The meritocracy illusion compounds wage gaps across demographics, yielding lower financial rewards for women, racial minorities, and immigrants with identical output.Vague definitions of "merit" allow supervisors to act on personal favorability and affinity bias while genuinely believing their choices are purely objective.Trusting the "meritocracy" label creates false complacency, leading companies to eliminate or skip active pay-equity audits that would otherwise catch these disparities.Goodliest of the Week (MM/DR):DR: Google Scraps AI Satellite Images Within 24 Hours: Why 'Deepfakes in the Sky' Alarmed ResearchersThis happened after facing fierce backlash from journalists, researchers, and open-source intelligence experts who warned that it could accelerate the spread of misinformation.The feature allowed users to generate AI-created satellite images by zooming into any location in Google Earth and entering a text prompt.MM: Courts: MM DRCourt rules against Trump EPA's freeze of $20B in ‘green bank' fundsUBS fined record $125 million for money laundering violationsMeta fined $567m in largest child safety ruling against social media giantJudge says Nexstar can't appoint its executives to TEGNA's Board of DirectorsAssholiest of the Week (MM):Everything's a publicity stunt:Jealously Watching OpenAI and Anthropic, Meta Suddenly Claims That Its AI Went on a Hacking Spree TooZuckerberg conveys ‘apologies' for child sex abuse material, errors in operating the platform, government sources say‘Pure insanity'—Elon Musk details SpaceX's plan to turn the moon into its newest manufacturing siteAnthropic's Mythos created fake identities to fool humans in new cyber incidentGAO finds Elon Musk's DOGE inflated claims of $110 billion in savings for federal governmentEverything's a vanity projectJeff Bezos Says He's Selling $1 Billion In Amazon Stock Every Year to Fund Blue Origin — ‘It's The Most Important Work I'm Doing'SpaceX Achieves Its First Moon Landing by Accidentally Crashing Into It at 5,400 Miles Per Hour, Causing Huge Explosion and 60-Foot CraterJudge Sets Paramount-Warner Bros. Merger Trial for MarchEveryone's a victimThe AI bros are lonelyPalantir CEO Alex Karp Says Frontier AI Labs Will Steal Your IP, Your Know-How, and Your Expertise — ‘You Deserve To Be Colonized'‘Socialism is a disaster': Bill Ackman says Zohran Mamdani's bad left-wing housing policy is worsening New York's affordability crisisNo one is accountable DRBobby Kotick, former CEO of Activision, may join Paramount's board of directorsJefferies analyst calls out ‘simple-minded' criticism of SpaceX's governanceABC, CBS, and NBC aired nearly 200 segments about three U.S. heat events without mentioning climate changeDisney (Iger, still), Ellison family, and Roberts family - one cowed exec, two dictators!Headliniest of the WeekDR: Pepsi is launching soda-scented body wash and scrub in a beauty collaborationPwC U.S. CEO [Paul Griggs] advises young workers to say yes a lot, even if it means working on the weekends—‘That person climbs into the next role'Top Consulting Group PwC Caught Using AI on “Thought Leadership” Report About AI, Resulting in Corporate Document Filled With Bizarre HallucinationsDoorDash CEO Tony Xu once thought his $87 billion company would only make $100 million. He tells founders to be ‘greedy' and dream biggerClass A = 1 vote; Class B = 20 votes; CEO Tony Xu personally owns roughly 3% of actual shares but controls 55% of voting power via a “binding agreement” with the other co-foundersMisleading proxy shows he got paid $432k (they cited a 12:1 pay ratio) but he actually made $343M from shares and stocksDoorDash excludes Dashers from SEC disclosures by classifying them as 1099 independent contractors.Factoring drivers into the worker pool expands the headcount from 20,000 to over 7 million, moving the median worker from corporate offices directly onto the delivery platform.Dasher: while gross pay averages ~$15–$22/hour, net driver earnings sink further after deducting out-of-pocket expenses like fuel, vehicle wear, and self-employment taxes, pulling true net median compensation closer to $400–$900 annuallyAnthropic CEO reportedly worried new hires only care about money: reportedly expressed concern about new talent coming to the company for the money rather than the missionMM: Stripe CEO says his ‘urgency' to drop out of MIT ‘was a bit unnecessary'Who Won the Week?DR: Harvard Business School graduates TikTok CEO Shou Zi Chew and TikTok US CEO Adam Presser, because nobody ever talks about you or knows who you areMM: Meat. After seeing Salad and Go files for Chapter 11 bankruptcy after cyclospora fears worsened its challenges, you can't help but wonder if RFK Jr orchestrated a parasite to get people to buy more meat.PredictionsDR: Tony Xu introduces Class F stock where shareholders' children enter indentured servitude and must deliver 1000 Cheesy Gordita Crunches from Taco Bell before they are set free ; they will then get 0.0002 shares per voteMM: Boards are calling retired CEOs back as succession pipelines run dry: Boards run out of ex-CEOs to re-king and begin looking for different, egalitarian, integrated professionals to fill new roles. They call it DEI.

What if the biggest risk to your organization isn't the device that gets lost, but the data that lives on it? Ron Eddings sits down with Jared Shepard, Founder and CEO of Hypori, whose path ran from homeless high school dropout to Army infantry to building a company that rethinks mobile security from the ground up. Jared makes the case for something more radical than most vendors will admit: stop defending the edge device entirely, and make sure sensitive data never lands there in the first place. He and Ron cover MDM and MAM's blind spots, executive protection, and the shadow AI habits quietly becoming every security leader's next headache. The episode also lands at a tense moment for the defense industrial base with the Pentagon having just paused third party CMMC assessments, now putting the burden of proof back on self attestation. If you're still trusting the edge device to protect you, this episode is your wake up call. Impactful Moments  00:00 - Introduction  02:00 - Hack The Headlines: Top new from around the industry 07:30 - Meet Jared Shepard, founder and CEO of Hypori  10:00 - What Hypori does and how it started  15:40 - MDM vs. MAM: why both miss the real problem  18:45 - Shadow AI and the security habits practitioners can't ignore  20:30 - Collapsing the attack surface and bringing back BYOD (Bring Your Own Device)  22:40 - The 4-gigabit-speed "parlor trick" that proves the Cloud beats your device 25:20 - What the 60-day CMMC pause really changes (and what it doesn't) 29:20 - China, stolen tech, and the rise of AI models like Mythos  36:00 - Closing the loop on the CMMC pause    Links  Connect with Jared Shepard on LinkedIn: https://www.linkedin.com/in/shepardj  Learn more about Hypori: https://hypori.com  –  Check out our upcoming events: https://www.hackervalley.com/livestreams Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Become a sponsor of the show: https://hackervalley.com/work-with-us/  

In this episode, we cover OpenAI's upcoming smart speaker designed by Johnny Ive, ByteDance's ambitious 10 trillion parameter AI model, and Replit's revolutionary approach to coding. Additionally, we explore Airbnb's innovative AI features and the controversial breakout of Kimmy K3 during security testing.Chapters00:00 OpenAI's Smart Speaker01:57 ByteDance's AI Model05:00 Replit's Self-Driving Code07:58 AI Security Breaches Show LinksGet the top 80+ AI Models for $8.99 at AI Box: ⁠⁠https://aibox.aiGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter

At Black Hat Las Vegas, the Security Now crew digs into how AI is not just finding hidden software bugs but also fueling both groundbreaking innovation and alarming new exploits. When open models can launch surprise Bitcoin heists, who draws the line between forbidden knowledge and genuine progress? • Black Hat and DEF CON: Hacking Stories and Conference Culture • Zoox Ride-Hailing Hack and Over-the-Air Vulnerabilities • Autonomous Vehicles, AI, and the Security Implications • Hosts Share Personal Adoption and Use of AI Tools • AI-Powered Coding: From Hobbyists to Advanced Agency Chains • Local Models vs. Cloud AI: Privacy, Cost, and Control • App Development Democratized: Listeners Build Custom Solutions With AI • Code Generation, Testing, and Managing AI-Driven Project Cycles • AI's Role in Security: Vulnerability Discovery, Exploitation, and Patch Challenges • Technical Debt and the Race to Patch Decades-Old Bugs • The Dual-Use Dilemma: AI Tools for Both Attack and Defense • Guardrails, Model Partitioning, and the Fight Over Forbidden Knowledge • Open vs. Restricted AI: Global Models, Distillation, and Free Speech • LLM Security Weaknesses: Prompt Injection and Role Confusion Exposed • The Reliability Problem: Probabilistic AI and Non-Deterministic Software • AI Progress: Public Perception, Skepticism, and "Hogwash" Rebuttals • Reflections on AI's Fast Evolution and the Sci-Fi Reality Gap • Closing Thoughts: Tech Community, Listener Feedback, and the Future of Security Now Hosts: Steve Gibson, Leo Laporte, Richard Campbell, and Paul Thurrott Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: material.security bitwarden.com/twit XBOW.com hoxhunt.com/securitynow threatlocker.com/twit

At Black Hat Las Vegas, the Security Now crew digs into how AI is not just finding hidden software bugs but also fueling both groundbreaking innovation and alarming new exploits. When open models can launch surprise Bitcoin heists, who draws the line between forbidden knowledge and genuine progress? • Black Hat and DEF CON: Hacking Stories and Conference Culture • Zoox Ride-Hailing Hack and Over-the-Air Vulnerabilities • Autonomous Vehicles, AI, and the Security Implications • Hosts Share Personal Adoption and Use of AI Tools • AI-Powered Coding: From Hobbyists to Advanced Agency Chains • Local Models vs. Cloud AI: Privacy, Cost, and Control • App Development Democratized: Listeners Build Custom Solutions With AI • Code Generation, Testing, and Managing AI-Driven Project Cycles • AI's Role in Security: Vulnerability Discovery, Exploitation, and Patch Challenges • Technical Debt and the Race to Patch Decades-Old Bugs • The Dual-Use Dilemma: AI Tools for Both Attack and Defense • Guardrails, Model Partitioning, and the Fight Over Forbidden Knowledge • Open vs. Restricted AI: Global Models, Distillation, and Free Speech • LLM Security Weaknesses: Prompt Injection and Role Confusion Exposed • The Reliability Problem: Probabilistic AI and Non-Deterministic Software • AI Progress: Public Perception, Skepticism, and "Hogwash" Rebuttals • Reflections on AI's Fast Evolution and the Sci-Fi Reality Gap • Closing Thoughts: Tech Community, Listener Feedback, and the Future of Security Now Hosts: Steve Gibson, Leo Laporte, Richard Campbell, and Paul Thurrott Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: material.security bitwarden.com/twit XBOW.com hoxhunt.com/securitynow threatlocker.com/twit

At Black Hat Las Vegas, the Security Now crew digs into how AI is not just finding hidden software bugs but also fueling both groundbreaking innovation and alarming new exploits. When open models can launch surprise Bitcoin heists, who draws the line between forbidden knowledge and genuine progress? • Black Hat and DEF CON: Hacking Stories and Conference Culture • Zoox Ride-Hailing Hack and Over-the-Air Vulnerabilities • Autonomous Vehicles, AI, and the Security Implications • Hosts Share Personal Adoption and Use of AI Tools • AI-Powered Coding: From Hobbyists to Advanced Agency Chains • Local Models vs. Cloud AI: Privacy, Cost, and Control • App Development Democratized: Listeners Build Custom Solutions With AI • Code Generation, Testing, and Managing AI-Driven Project Cycles • AI's Role in Security: Vulnerability Discovery, Exploitation, and Patch Challenges • Technical Debt and the Race to Patch Decades-Old Bugs • The Dual-Use Dilemma: AI Tools for Both Attack and Defense • Guardrails, Model Partitioning, and the Fight Over Forbidden Knowledge • Open vs. Restricted AI: Global Models, Distillation, and Free Speech • LLM Security Weaknesses: Prompt Injection and Role Confusion Exposed • The Reliability Problem: Probabilistic AI and Non-Deterministic Software • AI Progress: Public Perception, Skepticism, and "Hogwash" Rebuttals • Reflections on AI's Fast Evolution and the Sci-Fi Reality Gap • Closing Thoughts: Tech Community, Listener Feedback, and the Future of Security Now Hosts: Steve Gibson, Leo Laporte, Richard Campbell, and Paul Thurrott Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: material.security bitwarden.com/twit XBOW.com hoxhunt.com/securitynow threatlocker.com/twit

At Black Hat Las Vegas, the Security Now crew digs into how AI is not just finding hidden software bugs but also fueling both groundbreaking innovation and alarming new exploits. When open models can launch surprise Bitcoin heists, who draws the line between forbidden knowledge and genuine progress? • Black Hat and DEF CON: Hacking Stories and Conference Culture • Zoox Ride-Hailing Hack and Over-the-Air Vulnerabilities • Autonomous Vehicles, AI, and the Security Implications • Hosts Share Personal Adoption and Use of AI Tools • AI-Powered Coding: From Hobbyists to Advanced Agency Chains • Local Models vs. Cloud AI: Privacy, Cost, and Control • App Development Democratized: Listeners Build Custom Solutions With AI • Code Generation, Testing, and Managing AI-Driven Project Cycles • AI's Role in Security: Vulnerability Discovery, Exploitation, and Patch Challenges • Technical Debt and the Race to Patch Decades-Old Bugs • The Dual-Use Dilemma: AI Tools for Both Attack and Defense • Guardrails, Model Partitioning, and the Fight Over Forbidden Knowledge • Open vs. Restricted AI: Global Models, Distillation, and Free Speech • LLM Security Weaknesses: Prompt Injection and Role Confusion Exposed • The Reliability Problem: Probabilistic AI and Non-Deterministic Software • AI Progress: Public Perception, Skepticism, and "Hogwash" Rebuttals • Reflections on AI's Fast Evolution and the Sci-Fi Reality Gap • Closing Thoughts: Tech Community, Listener Feedback, and the Future of Security Now Hosts: Steve Gibson, Leo Laporte, Richard Campbell, and Paul Thurrott Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: material.security bitwarden.com/twit XBOW.com hoxhunt.com/securitynow threatlocker.com/twit

At Black Hat Las Vegas, the Security Now crew digs into how AI is not just finding hidden software bugs but also fueling both groundbreaking innovation and alarming new exploits. When open models can launch surprise Bitcoin heists, who draws the line between forbidden knowledge and genuine progress? • Black Hat and DEF CON: Hacking Stories and Conference Culture • Zoox Ride-Hailing Hack and Over-the-Air Vulnerabilities • Autonomous Vehicles, AI, and the Security Implications • Hosts Share Personal Adoption and Use of AI Tools • AI-Powered Coding: From Hobbyists to Advanced Agency Chains • Local Models vs. Cloud AI: Privacy, Cost, and Control • App Development Democratized: Listeners Build Custom Solutions With AI • Code Generation, Testing, and Managing AI-Driven Project Cycles • AI's Role in Security: Vulnerability Discovery, Exploitation, and Patch Challenges • Technical Debt and the Race to Patch Decades-Old Bugs • The Dual-Use Dilemma: AI Tools for Both Attack and Defense • Guardrails, Model Partitioning, and the Fight Over Forbidden Knowledge • Open vs. Restricted AI: Global Models, Distillation, and Free Speech • LLM Security Weaknesses: Prompt Injection and Role Confusion Exposed • The Reliability Problem: Probabilistic AI and Non-Deterministic Software • AI Progress: Public Perception, Skepticism, and "Hogwash" Rebuttals • Reflections on AI's Fast Evolution and the Sci-Fi Reality Gap • Closing Thoughts: Tech Community, Listener Feedback, and the Future of Security Now Hosts: Steve Gibson, Leo Laporte, Richard Campbell, and Paul Thurrott Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: material.security bitwarden.com/twit XBOW.com hoxhunt.com/securitynow threatlocker.com/twit

At Black Hat Las Vegas, the Security Now crew digs into how AI is not just finding hidden software bugs but also fueling both groundbreaking innovation and alarming new exploits. When open models can launch surprise Bitcoin heists, who draws the line between forbidden knowledge and genuine progress? • Black Hat and DEF CON: Hacking Stories and Conference Culture • Zoox Ride-Hailing Hack and Over-the-Air Vulnerabilities • Autonomous Vehicles, AI, and the Security Implications • Hosts Share Personal Adoption and Use of AI Tools • AI-Powered Coding: From Hobbyists to Advanced Agency Chains • Local Models vs. Cloud AI: Privacy, Cost, and Control • App Development Democratized: Listeners Build Custom Solutions With AI • Code Generation, Testing, and Managing AI-Driven Project Cycles • AI's Role in Security: Vulnerability Discovery, Exploitation, and Patch Challenges • Technical Debt and the Race to Patch Decades-Old Bugs • The Dual-Use Dilemma: AI Tools for Both Attack and Defense • Guardrails, Model Partitioning, and the Fight Over Forbidden Knowledge • Open vs. Restricted AI: Global Models, Distillation, and Free Speech • LLM Security Weaknesses: Prompt Injection and Role Confusion Exposed • The Reliability Problem: Probabilistic AI and Non-Deterministic Software • AI Progress: Public Perception, Skepticism, and "Hogwash" Rebuttals • Reflections on AI's Fast Evolution and the Sci-Fi Reality Gap • Closing Thoughts: Tech Community, Listener Feedback, and the Future of Security Now Hosts: Steve Gibson, Leo Laporte, Richard Campbell, and Paul Thurrott Download or subscribe to Security Now at https://twit.tv/shows/security-now. You can submit a question to Security Now at the GRC Feedback Page. For 16kbps versions, transcripts, and notes (including fixes), visit Steve's site: grc.com, also the home of the best disk maintenance and recovery utility ever written Spinrite 6. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: material.security bitwarden.com/twit XBOW.com hoxhunt.com/securitynow threatlocker.com/twit

Ravi Soin has clear advice for anyone starting a security career today: don't be a risk manager, be a trust architect. In this episode, Steve Moore sits down with Ravi—CIO and CISO at Smartsheet—for a builder's-eye conversation on the modern CISO role, AI as an accelerant on old sins, and why the CISO who still says “no” is already obsolete.Ravi traces his path through Sun Microsystems, RealNetworks, a decade at Microsoft, and 15 years at healthcare software leader Edifecs to his eight months at Smartsheet. He explains what it means to think about security the way builders do—understanding where corners get cut under sprint pressure—and why that inside-out perspective changes how you defend.Steve and Ravi dig into how Smartsheet is deploying agentic AI across the enterprise: a centralized knowledge graph tied to every corporate system, Claude-powered threat models, DAST and SAST scans, SOC triage on the 80% phishing baseline, and MCP-connected asset and license management.They name the old culture directly. It was an era of risk registers where lows and mediums were quietly punted, tens of thousands of known vulnerabilities were accepted as compensating- control fiction, and time-to-exploit was assumed to be forgiving. Both push back on the panicked reaction to the Mythos disclosures, arguing AI has simply closed the exploit window on the trash environments were already ignoring.Ravi's core advice: build trust into the system, think about security through the customer's lens, and treat AI agents as first-class identities under the same IAM principles you apply to humans. He and Steve close on how incident response must be re-fit for the agentic era, why auditability is the non-negotiable foundation of AI governance, and why community remains the sharpest source of learning.Key Topics• Thinking about security like a builder, from the inside out• Why the CISO who still says “no” is already obsolete• Deploying agentic AI across engineering, SOC, and corporate systems• MCP-connected asset and license management• The old risk-register culture and how the industry was gambling• Why the Mythos reaction missed the bigger story• Advice to your 21-year-old self: be a trust architect• Building security through the customer's lensGuest BioRavi Soin is the CIO and CISO at Smartsheet, where he leads global IT and security strategy for the AI-enhanced enterprise work management platform. He brings more than two decades of security and IT leadership, including 15 years as CIO and CISO at healthcare software leader Edifecs and product roles at Microsoft, RealNetworks, and Sun Microsystems. Ravi serves on the SeattleCIO advisory board and was named Seattle CIO of the Year.GET A DEMO:

One of Wall Street's first SpaceX bears joins us on the heels of the company's debut quarterly results. Anthropic's Mythos makes headlines for its bad behavior. And two prominent voices in the business world see a path toward 3 rate hikes this year. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

OpenAI took Apple's trade-secrets lawsuit to the court of public opinion, receipts and all. Bending Spoons bought Airtable, Anthropic inked a $10B Norway compute deal, the US eyed polysilicon tariffs, and Microsoft told engineers tokenmaxxing was over. Links OpenAI drags Apple's lawsuit into the court of public opinion (The Verge) Bending Spoons agrees to acquire Airtable in an all-cash deal valuing the US software company at $1.285B, set to close by 2026's end, its first post-IPO deal (Reuters) Bending Spoons buys Airtable at an implied equity value of ~$2.25B, five years after a $735M round valued the no-code company at $11.7B; Airtable's ARR is now ~$480M (Silicon Republic) Sources: Anthropic agreed to a $10B deal for computing capacity in Norway from Nvidia-backed AI cloud startup Volta Infra, which says the deal is for six years (Bloomberg) Sources: the US is preparing to set a price floor and impose tariffs on polysilicon, a material critical to chips, later this month, in a bid to counter China (Reuters) Sources: Beijing is growing concerned about the cyber capabilities of Mythos and other US-developed frontier AI models and their potential as offensive weapons (Bloomberg) White House to host AI companies Tuesday to review new model-testing framework (CNBC) Internal email: Microsoft introduces token budget limits for employees' AI use, saying "tokenmaxxing is not what we are optimizing for" (404 Media) Subscribe to the ad-free feed.

Open source software underpins virtually every modern application. That ubiquity is a superpower for developers, but it is also an expanding attack surface. Software supply chain attacks were once rare but are now happening daily, with malicious actors exploiting the trust developers place in public registries, package managers, and CI/CD pipelines. Chainguard is a secure software supply chain platform. The company started with hardened container images and has expanded to cover domains including VMs, language libraries, GitHub Actions, and agent skills. Matt Moore is a co-founder and CTO of Chainguard, and a veteran of Google’s open source, container, and security infrastructure work. In this episode, Matt joins Gregor Vand to discuss lessons from recent supply chain attacks, why CI/CD pipelines are now a primary attack surface, the challenge of meaningful software inventories, the EU Cyber Resilience Act, and what the arrival of Anthropic’s Mythos model means for the pace of vulnerability discovery and the urgency of patching at machine speed.Sponsorship inquiries:sponsor@softwareengineeringdaily.com The post AI-Powered Threats to the Software Supply Chain appeared first on Software Engineering Daily.

Teaser ... Sam's ideological leanings ... Sam's AI Manhattan Project–revisited ... What does the “Pacing” letter say about the state of AI? ... Mythos, Astra, and AI's accelerating acceleration ... The OpenAI “rogue” model escape ... Recursive self-improvement: Red line or red herring? ... How frontier AI is getting (and will get) freakier ... How is open-source AI like DEI? ... Heading to Overtime ...