Podcasts about Internet of things

Text the Show⭐️ Affiliate item of the week: FosPower Solar Hand Crank Emergency Radio: https://amzn.to/3PLuoBf NOAA Weather Radio 19240mWh Portable Power Bank, AM/FM, USB/Solar/Hand Crank Charging, Battery Operated, SOS Alarm & Flashlight for Indoor/Outdoor Emergencies.What happens when artificial intelligence becomes the gatekeeper of truth, faith, commerce, and even human behavior? Tonight, JD Rucker joins us to explore the rise of The Algorithm and its growing influence over the Church, media, and everyday life.We dive into AI's role in information management, the future of prepping and survival in a technologically controlled world, and whether society is being guided toward a digital beast system hidden in plain sight. Is the algorithm simply a tool or is it becoming a belief system of its own? Visit JD's prepper website: The Late Prepper: https://www.lateprepper.com/ Watch the JD Rucker Show: https://jdruckershow.substack.com/JD Rucker substack: https://jdrucker.substack.com/Support the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVa

We’re back with another dose of Nintendo news, game impressions and discussion! Join us as we discuss: Pictonico! Nintendo patents Elementallis Mega Man Battle Network Credits: Panelists: Hylke – @Gear12Turbo Seskra – @seskrathespider Edited by: Hylke Langhout Interludes: Craig Windle – @CraigedyCraig / Windmills at Dawn YouTube link N-Focus #283 – The Elemental Internet of Things (YouTube) Follow us: Gamepodular.com The post N-Focus #283 – The Elemental Internet of Things appeared first on GAMEPODULAR.

Text the Show⭐️ Affiliate item of the week: The Devil's Chessboard: Allen Dulles, the CIA, and the Rise of America's Secret Government by David Talbot: https://amzn.to/4wEtFlQIs modern society is drowning in manipulation, distraction, and engineered narratives pushed through media, politics, Hollywood, education, sports, and entertainment? We will be discussing topics like Operation Mongoose, Plum Island tick weaponization theories, the eerie similarities between masks in pop culture and the TV series V, and the constant drumbeat of outbreak fear campaigns. We also examine how programs like Cash for Clunkers and the rise of vehicle leasing may have quietly shifted culture away from ownership and independence. SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Support the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Text the Show⭐️ Affiliate item of the week: The Waiting Room: A Novel by LA Marzulli: https://amzn.to/4wqDJyK

Nel mondo della creazione di contenuti digitali, con piattaforme come YouTube, Instagram e TikTok, si è consolidata un'ossessione collettiva per la qualità delle immagini. Eppure, spesso si trascura un aspetto che conta altrettanto, se non di più: l'audio. Un contenuto multimediale è, per definizione, un'esperienza multisensoriale e l'audio non può essere relegato ad accessorio, ma deve diventare la struttura portante del video. In questa puntata analizziamo le principali tecnologie che stanno aumentando la qualità del suono per i creatori di contenuti: dal beamforming all'intelligenza artificiale integrata nei dispositivi, fino alla rivoluzionaria tecnologia a 32-bit in virgola mobile che ha liberato i videomaker dal problema del clipping digitale. Per scoprire come queste tecnologie si traducono in pratica, abbiamo provato in anteprima il nuovo set di microfoni Mic Pro di Insta360.Nella sezione delle notizie parliamo del Google I/O 2026, dove sono stati presentati i nuovi agenti Gemini e gli smart glasses Android XR e dell'agenzia spaziale giapponese JAXA che sta sviluppando un motore ipersonico per aerei in grado di raggiungere Mach 5.--Indice--00:00 - Introduzione01:33 - Le novità dall'Android Show 2026 (Blog.Google, Luca Martinelli)03:10 - Scoperto un nuovo cristallo del primo test atomico (HDBlog.it, Matteo Gallo)04:31 - Raspberry Pi: un piccolo computer che sta cambiando il modo di innovare (Elisabetta Bianchi, Davide Fasoli, Luca Martinelli)41:22 - Conclusione--Testo--Leggi la trascrizione: https://www.dentrolatecnologia.it/S8E20#testo--Contatti--• www.dentrolatecnologia.it• Instagram (@dentrolatecnologia)• Telegram (@dentrolatecnologia)• YouTube (@dentrolatecnologia)• redazione@dentrolatecnologia.it--Brani--• Ecstasy by Rabbit Theft• Believe Me by CADMIUM, JAMZ, SIMONNE

With fireballs in his hands, the Cauldron Group's David Duckworth sets magical potions ablaze.Cauldron酒吧的大卫·达克沃斯手里拿着火球，点燃了魔法药水。So all the drinks that we have on offer at the Cauldron, the key thing to know about them is that they're all fully interactive.我们在Cauldron酒吧提供的所有饮品，它们都是可以发生反应的。So you are able to interact with the various ingredients, and using molecular mixology and science behind the drinks.你可以使各种成分相互作用，利用饮料背后的分子调酒技术和科学。You are able to make your drinks do something that you've probably never seen a drink do before.你可以让饮料做一些以前从未见过的事情。Gathered around crystal balls in Cauldron in a dark, magical room, sit witches and wizards learning new and delicious magic.在一个黑暗的魔法房间里，女巫和男巫们围坐在Cauldron酒吧的水晶球旁，学习新奇而美妙的魔法。So this is a potion making class. When people come in, they get a robe, they get a magic wand, that's one of our custom magic wand that actually works.这是一堂药剂制作课。人们进店的时候，会得到一件长袍，一根魔杖，这是我们定制的一根真正能够起作用的魔杖。And they learn to brew molecular potions, which are molecular cocktails, where we employ chemistry in the drink making process.他们学习调制分子药剂，也就是分子鸡尾酒，我们在调酒过程中运用化学原理。When customers arrive, they receive their magician's cloak and a magic wand they use to pour themselves a drink from a beheaded magical creature.当顾客到达店里时，他们会收到魔术师斗篷和一根魔杖，他们用这根魔杖从一只被斩首的魔法生物那里给自己倒一杯饮料。The magic wand powered by the sorcery known as the Internet of Things also operates taps, turns on lights and unlocks doors at the Cauldron.这根由被称为物联网的魔法驱动的魔杖，还在Cauldron酒吧操控水龙头、开灯和开门。So our mission is to bring fantasy and magic to life with science, technology and design,我们的使命是用科学、技术和设计将幻想和魔法变为现实，and to allow people to step into the imagined world, to their childhood in a really authentic way.让人们以一种真实的方式踏入想象中的世界，重温他们的童年。Cortland, once a high school reading teacher, says that career progressed into this one,科特兰曾是一名高中阅读教师，他表示这份职业逐渐发展成了现在的工作——where he teaches adults to interact with literature, and the STEM curriculum of science, technology, engineering and mathematics.教导成年人如何与文学作品互动，以及教授科学、技术、工程和数学课程。The experience, he says, takes some adults back in time.他说，这种体验让一些成年人回到了过去。We just googled fun things to do in London. It was one of the things that came up.我们刚刚在谷歌上搜索了伦敦有趣的活动，就出现了这家酒吧。Owners say fantasy fans of all ages appreciate a place that brings magic to life.酒吧业主们说，各个年龄段的奇幻爱好者都很喜欢这个能让魔法照进现实的地方。But junior witches and wizards beware, the Cauldron only shares the dark arts with those 18 years and older. 但是年轻的巫师们要当心， Cauldron酒吧只与18岁及以上的巫师分享黑魔法。

Text the Show⭐️ Affiliate item of the week: LifeStraw Personal Water Filter for Hiking, Camping, Travel, and Emergency Preparedness: https://amzn.to/4d2OIa8⭐️ Affiliate item #2 of the week: Time Travelers Of The Bible: How the Ancient prophets Shattered the Time Barrier by Gary Stearman: https://amzn.to/42t1QzaOur good friend JC Hall is back on the show tonight and we welcome a man who walked away from the constant noise of heavy political warfare to focus on something deeper: personal growth, building his business, and sharpening his voice through writing. Which you can read on his Substack at The Cynical Patriot: https://substack.com/@thecynicalpatriot Check out JC's Florida based business JC Plants on Facebook and at: https://jcplantsandlandscaping.durable.site/SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Support the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Negativa attityder vid rekrytering gör äldre till förlorare. Rådgivning och möjlighet att prova nytt kan minska risk för sjukskrivning och förtida pension. Lyssna på alla avsnitt i Sveriges Radios app. Debatten om längre arbetsliv fastnar ofta i pensionsregler, men forskningen pekar på konkreta verktyg som kan göra det möjligt att ställa om i tid. Arbetsförmågeindex beskriver samspelet mellan krav, kapacitet och energireserver. Från omkring 45 års ålder behöver många en gradvis anpassning för att inte tömmas på ork.En föreslagen lösning är mitt i livet-yrkesrådgivning, riktad till dem som börjar märka att återhämtningen tar längre tid. En annan är en tydligare struktur för att kunna vara ledig från jobbet och pröva ett annat arbete – något som saknas i dag, även om studieledighetslagen finns.Samtidigt visar studier att chansen att bli kontaktad vid rekrytering minskar redan efter 40, och arbetsgivare kan misstro äldre när det gäller driv, flexibilitet och vilja att lära nytt. Här kan rådgivning och möjlighet att prova nytt minska risken att hamna i lång sjukskrivning eller tvingas till tidig pension.Forskningscentrumet Relate ska under tio år kartlägga läget för sjukskrivna 55-plussare och samla aktörer för bättre återgång, bland annat med rehabilitering och försök med sensorer och Internet of Things.Reporter: Ylva Carlqvist Warnborgvet@sr.seProducent: Lars Broströmlars.brostrom@sr.se

The World Economic Forum released its second Technology Convergence Report, highlighting the integration of artificial intelligence, the Internet of Things, and blockchain as key drivers of business innovation and efficiency. The report emphasizes the need for businesses to adopt these technologies strategically to enhance operations and customer engagement. It predicts continued acceleration in technology convergence, necessitating agile and forward-thinking strategies for companies to maintain a competitive edge.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Text the Show⭐️ Affiliate item of the week: USB C Headphones Wired Ear Buds for Apple/Android, 90° Angled Plug in USBC Wire Earbuds Corded Type C Earphones with Microphone for iPhone 17 17e 16 16e 15 Pro Max Air for Samsung S26 S25 S24 Gunmetal- https://amzn.to/4uKUdjROur good friend Dr. Sean Brooks is back on the show again. Tonight we will talk about his two latest Substack articles entitled: "The Psy-Ops Will Continue" https://theamericanclassroom.substack.com/p/the-psy-ops-will-continue and "Through His Teeth" https://theamericanclassroom.substack.com/p/through-his-teethSUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Send us Fan MailEmmanuel Daniel is an author, advisor, and global thought leader on geopolitics, the future of finance, and their intersection with business and society. As the founder of the research and consulting house TAB Global and a recognized top 10 global influencer in the Fintech Power50, Emmanuel has spent decades looking under the hood of the global economy to understand how nations and institutions truly interact. In this episode, Emmanuel draws on 25 years of building relationships with central bankers, policymakers, and fintech leaders across 157 countries to make the case that the disruption most financial institutions are bracing for is not the one that is actually coming, and that the leaders asking the wrong questions today will have no runway left when the real inflection point hits.In this conversation, we discuss:Why financial markets distracted everyone from the real AI disruption, and what happens to large organizations when agentic AI finally reaches the Internet of Things.Why the end user no longer interacts with your bank's app directly, and what that means for every institution investing in UX.Why Emmanuel argues that debt is the economy, and why the conversation about U.S. debt-to-GDP is asking the wrong question entirely.Why state-promoted digital currencies are structurally designed to fail, and what China's eCNY after 8 years in pilot reveals about the limits of government-driven innovation.Why stablecoins have enabled a parallel global economy that traditional banking missed, and what that signals for the institutions still holding the rails.Why originality of thought is the one human capability AI cannot replace, and why Emmanuel says AI is of no use to you if you cannot form the right questions yourself.Resources:Subscribe to the AI & The Future of Work NewsletterConnect with Emmanuel on LinkedInAI fun fact articleOn How AI Voice Assistants Will Make Meetings More ProductiveOther episodes mentioned:344: Can Decentralized AI Fix Banking? Crypto, Brain OS, and the Future of Finance with Paolo Ardoino, Tether CEO358: Inside Mastercard's AI Adoption Journey: CTO George Maddaloni on Building Trust, Detecting Fraud, and the Future of Payments

  Every career in industrial water treatment is shaped by decisions, mentors, credentials, systems, and the willingness to keep learning. In this special mailbag-style episode, Trace Blackmore, CWT, answers questions from the Scaling UP! Nation about how he entered water treatment, why he started the podcast, what professional credentials have meant to him, and what he is still working to improve. This conversation gives water professionals a practical look at the habits behind a long career in the industry: getting involved early, documenting customer conversations, building strong teams, using repeatable processes, and staying open to new tools like AI. From Family Influence to a Career in Water Treatment Trace shares that his start in water treatment came through his father, who brought him along to accounts after school. His early memories include watching test results change color, learning around hospital accounts, and seeing how water treatment decisions were made in the field. Before entering water treatment full-time, Trace worked in financial services and received strong sales training. However, he realized he was not enjoying the work. His father invited him to become a service technician, which led to a career path that combined technical problem-solving, customer service, sales, and a deep appreciation for the industrial water community. Why Credentials, Associations, and Documentation Matter Trace explains why the Certified Water Technologist credential remains one of the professional accomplishments he values most. He also discusses his LEED GA and LEED AP credentials, his time as a former president of the Association of Water Technologies, and his training as a master facilitator. For professionals building their own careers, the larger lesson is clear: credentials, online presence, and association involvement can shape how customers and peers understand your expertise. Trace also emphasizes the importance of documenting conversations, decisions, and recommendations so teams and customers have a clear record when issues arise. The Podcast, Rising Tide Mastermind, and Raising the Industry Bar Trace reflects on launching the Scaling UP! H2O Podcast in 2017 after encouragement from Charlie Cicchetti and Conor Parrish. What began as a monthly podcast eventually became a weekly resource with structured processes, procedures, and a growing audience of water professionals. He also discusses the honor of having Scaling UP! H2O recognized as the official podcast of the Association of Water Technologies, as well as the creation of Rising Tide Mastermind, which now includes 76 members across 7 groups. Both platforms reflect the same goal: creating spaces where industrial water professionals can learn, connect, and improve together. Technology, AI, and the Next Phase of Learning When asked about the biggest change in the industry, Trace points to data collection, remote monitoring, the Internet of Things, and AI. He remembers a time when system information required an on-site visit. Today, water professionals can review controller data, reports, and trends before arriving in the field. Trace also shares how his Doctor of Business Administration program is changing the way he thinks about research, learning, and long-term growth. His 2026 goals include continuing that academic work, strengthening the podcast's educational value, and giving family and personal commitments proper space on the calendar. This episode is not only a personal reflection. It is a reminder that long-term success in water treatment depends on learning, relationships, systems, and the willingness to keep improving. Listen to the full conversation above. Explore related episodes below. Stay engaged, keep learning, and continue scaling up your knowledge! Timestamps  02:35 — Trace opens the episode with a May update and connects the season to a practical cooling tower challenge: pollen in Southern systems. 04:30 — Trace explains why this episode is different: Scaling UP! Nation asked for more personal stories and career reflections from him. 06:50 — Trace highlights the 6th Annual Oilfield Water Markets Conference and shares the Scaling UP! H2O listener discount code. 08:00 — Trace mentions the International Water Association Leading Edge Conference on Water and Wastewater Technologies in Houston. 08:50 — Trace points healthcare-focused water professionals toward ASHE's Healthcare Facilities Innovation Conference in Minneapolis. 09:50 — James McDonald presents a new Words of Water definition focused on wet bulb temperature and cooling tower performance. 11:20 — Trace explains why receiving compliments used to be difficult and how mentorship helped him respond with more respect and gratitude. 13:50 — Trace answers how he got started in water treatment through his father, field visits, testing, and early exposure to accounts. 15:50 — Trace describes leaving financial services, joining his father's company as a service technician, and finding work he genuinely enjoyed. 18:20 — Trace explains the credentials behind his name, beginning with the Certified Water Technologist designation. 20:25 — Trace discusses LEED GA and LEED AP credentials and how they helped him communicate with commercial building owners. 23:00 — Trace shares why his AWT leadership experience and master facilitator training matter to his professional identity. 24:55 — Trace explains how Charlie Cicchetti introduced him to podcasts and encouraged him to start what became Scaling UP! H2O. 27:30 — Trace describes the podcast's early cadence, moving from monthly to biweekly and then weekly episodes. 32:30 — Trace identifies AWT naming Scaling UP! H2O its official podcast as a crowning moment for the show. 33:45 — Trace shares personal and professional achievements, including adopting his son, building the podcast, and launching Rising Tide Mastermind. 35:30 — Trace explains how he balances podcasting, business, and other responsibilities through team support, time blocking, procedures, and the 12 Week Year. 41:05 — Trace shares advice to his younger self: join an association early, get involved, document everything, and build relationships in the industry. 44:40 — Trace identifies data, remote monitoring, IoT, AI, Legionella, PFAS, and water management plans as major changes in the industry. 48:10 — Trace shares scuba diving as his favorite non-water-treatment hobby and reflects on teaching more than 1,000 people to dive. 50:00 — Trace explains how pursuing a Doctor of Business Administration is teaching him research, academic discipline, and new ways to learn. 54:05 — Trace shares his 2026 goals, including progressing through his DBA program, expanding podcast resources, and prioritizing family on his calendar Connect with Scaling UP! H2O   Submit a show idea: Submit a Show Idea   LinkedIn: in/traceblackmore/   YouTube: @ScalingUpH2O  Scaling UP! H2O Resources Mentioned  AWT Audible Scaling UP! H2O Academy video courses 12 Week Year Plan  The Rising Tide Mastermind 420 Tapping Into Tech: How Ben Frieders Uses AI to Elevate Water Treatment Marketing  Words of Water with James McDonald  Today's definition is the lowest temperature that can be achieved through evaporation alone and is used to evaluate cooling tower performance.  Do you know the word or phrase?  2026 Events for Water Professionals  Check out our Scaling UP! H2O Events Calendar where we've listed every event Water Treaters should be aware of by clicking HERE. 

Text the Show⭐️ Item of the week- Stolen Seed, Evil Harvest book: https://lamarzulli.net/product/stolen-seed-evil-harvest/⭐️Afilliate Item of the week- Fallen: The Sons of God and the Nephilim book by Time Chaffey: https://amzn.to/4n0oJ6ATonight we welcome author, speaker, experiencer, UAP research analyst Karin Wilkinson back to the show. Karin is a published author dedicated to providing research and support for individuals affected by alien abduction, helping them find answers and healing from their traumatic experiences. She's the author of Stolen Seed, Evil Harvest and she is a regular writer/contributor to our friend L.A. Marzulli's monthly newsletter, Politics, Prophecy and the Supernatural.Tonight we will delicately discuss the strange question, why is scientific knowledge so hazardous to your health?Karin's website: https://karinwilkinsonauthor.com/SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Text the Show⭐️Affiliate item of the week: Fasting: Opening the Door to a Deeper, More Intimate, More Powerful Relationship With God by by Jentezen Franklin: https://amzn.to/4sCyWah No guest tonight which means we have a bunch of housekeeping to catch up on. We will chat about the current happenings of the day, playing some relevant sound bites and taking your calls later in the show. Call in 248-238-8155.SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176  Facebook: https://www.facebook.com/DangerousInfoPodcast/SocialsInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Routers, computers, web cameras — they all connect to the internet. And they can be infected with malicious software that lets someone else take over. The device becomes a bot, essentially.A group of these devices networked together then becomes a botnet. And these botnets can then be used for nefarious purposes, like distributed denial of service attacks, without the device owners even knowing about it.Cybersecurity journalist Brian Krebs recently wrote about several large botnets including one called Kimwolf that compromised more than three million devices.

Routers, computers, web cameras — they all connect to the internet. And they can be infected with malicious software that lets someone else take over. The device becomes a bot, essentially.A group of these devices networked together then becomes a botnet. And these botnets can then be used for nefarious purposes, like distributed denial of service attacks, without the device owners even knowing about it.Cybersecurity journalist Brian Krebs recently wrote about several large botnets including one called Kimwolf that compromised more than three million devices.

Text the Show⭐️Affiliate item of the week: The Unseen Realm: Recovering the Supernatural Worldview of the Bible by Michael Heiser: https://amzn.to/4mpsIsSOur friend Nelly from The Dancing Toaster podcast is back and tonight we will be talking about the things we all wrestle.Pastor Nelly is the creator and voice behind The Dancing Toaster and The Man-Eating Toaster—two podcasts that fearlessly explore the shadowy intersections of theology, conspiracy, and the paranormal. With a background in biblical studies and a passion for exposing the overlooked and the unsettling, Nelly crafts immersive, noir-inspired narratives that blend ancient texts, government secrets, folklore, and fringe science. Whether diving into the Nephilim, CIA mind control experiments, haunted relics, or cultic atrocities, his work challenges the official story and invites listeners to question what's real, what's hidden, and what's been buried on purpose. Armed with skepticism, scripture, and a dancing toaster mascot, Nelly isn't just telling stories—he's pulling back the veil.Socials: @thedancingtoaster Spotify: https://open.spotify.com/show/6iYMh2DJxoAhmhlRecZgHy?si=7c49c46b3adc4b2aApple Itunes: https://podcasts.apple.com/us/podcast/the-dancing-toaster-podcast/id1770873980Patreon: https://www.patreon.com/TheDancingToasterSUPPORTSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon Support the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtGrubTerra Pet Treats https://bit.ly/436YLVZWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxDInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

In this episode of the IoT For All Podcast, Matthias Wagner, Founder and CEO of Flux, joins Ryan Chacon to discuss AI-assisted hardware design for IoT. The conversation covers the historical challenges of hardware design, the current capabilities of AI tools, compressing the hardware iteration cycle, integration challenges, the limitations of AI, and enabling IoT innovation.Matthias Wagner is the Founder and CEO of Flux, the world's first AI hardware engineer. He is a maker, a hands-on technical leader, and an entrepreneur leading a grassroots revolution in hardware design. Under his leadership, Flux has grown to more than 1M sign-ups and has powered more than 6M hardware projects to date.Flux is the world's first AI hardware engineer. Just as AI coding has transformed software development, Flux is transforming hardware design with agentic AI by allowing anyone to design PCBs with natural language prompts. Flux is able to understand schematics, PCB layouts, and component constraints, helping teams design, review, and optimize hardware in real time. It makes professionals faster and gives non-engineers the ability to build products they could only dream of in the past. With more than 1 million sign-ups and more than 6 million projects created to date, Flux is pioneering a new era of AI-native hardware design.Discover more about IoT and AI at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Flux: https://www.flux.aiConnect with Matthias: https://www.linkedin.com/in/matthias-wagner-5220b047/Our sponsor: https://kiloiot.ioSubscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Smart devices can be very handy, but increasingly people are worried about exactly how smart they are, what they know and what they are doing with our data especially after a rogue Roomba ended up sharing embarrassing photos of one young woman on the toilet. Smart devices are electronic devices or gadgets that have the ability to interact, connect and share information with other smart devices. It is often associated with the term the ‘internet of things'. The Internet of things refers to a network of devices that gather data and share information with each other through the internet. This includes things like smartphones, fitness trackers, smart tvs, smart speakers and much more. What are smart devices? What are the advantages of smart devices? How can I protect my data from misuse? In under 3 minutes, we answer your questions! To listen to the last episodes, you can click here: ⁠⁠How does eldest daughter syndrome affect some women?⁠⁠ ⁠⁠What is a kakistocracy, in the world of work ?⁠⁠ ⁠⁠What does vaping do to the body?⁠⁠ A podcast written and realised by  Amber Minogue. First broadcast: 17/1/2023 Learn more about your ad choices. Visit megaphone.fm/adchoices

Text the Show⭐️Affiliate item of the week: The Complete Apocrypha: 2018 Edition with Enoch, Jasher & Jubilees: https://amzn.to/3QoNTPKThere are reasons why the establishment doesn't want us relating current day understandings to biblical scripture which is why we are born into a complete world of deception.Nasa green screen deception. Nasa astronaut saying "we're going to the moon for the first time"Australian UFO disclosure. Twinkling of an eye scripture meets Shroud of Turin Paula White comparing Trump to Christ(?)Trumps seemingly unhinged Twitter rant threatening Iran.No guest tonight which means we have a bunch of things to catch up on. We will chat about the current happenings of the day, playing some relevant sound bites and taking your calls later in the show. Call in 248-238-8155.SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtGrubTerra Pet Treats https://bit.ly/436YLVZWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxDInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Send us Fan MailAre we missing the real story of Easter? Shroud of Turin book: https://amzn.to/4dYkfe0 In this deep dive from episode 263, the DANGEROUS INFO PODCAST strips away the rabbits, carrots, and pastel eggs to uncover the raw, supernatural history of Holy Week. We explore the profound events surrounding the crucifixion and resurrection of Jesus, from the flipping of the tables to the moment the earth shook and the dead walked the streets of Jerusalem.In this audio, we discuss:The Commercialization Trap: How nostalgia and "cute" traditions can become a stumbling block to the truth.Prophecy Fulfilled: The significance of Palm Sunday, the donkey, and the omniscience of Christ.The Barabbas Choice: A look at the crowd's decision and why, in many ways, we are all Barabbas.Supernatural Evidence: The tearing of the temple veil, the darkness at noon, and the Roman Centurions who went from mocking to declaring, "Surely this was the Son of God."00:00:00 - Introduction: Commercialized Easter vs. The Real Story00:01:21 - Holy Week Alignment: Comparing Current Dates to Original Events00:02:14 - Flipping the Tables: Jesus' Actions in the Temple00:02:40 - Palm Sunday & Prophecy: The Significance of the Donkey00:03:51 - Healing the Sick & The Pharisees' Reaction00:04:24 - Pontius Pilate & The Trial of Jesus00:05:02 - The Choice of Barabbas: Why "We Are All Barabbas"00:06:23 - Mockery on the Cross & The Thirst for Truth00:07:07 - The Supernatural Events: Darkness, Earthquake, and the Torn Veil00:08:15 - The Dead Walk: The Shocking Resurrection of Holy People00:08:51 - The Centurions' Revelation: "Surely This Was the Son of God"00:09:42 - Modern Relevance: Seeing the "Red Pills" in Today's World00:10:50 - Preparing for the "Pregame": Facing Future Choices with Faith00:13:24 - The Aftermath: Spreading the Gospel Beyond the Biblical Text00:14:24 - The 40 Martyrs of Sebaste: A Story of AbsoluSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtGrubTerra Pet Treats https://bit.ly/436YLVZWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxDInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Fresh off raising a monster $15B, Marc Andreessen has lived through multiple computing platform shifts firsthand, from Mosaic and Netscape to cofounding A16z. In this episode, Marc joins swyx and Alessio in a16z's legendary Sand Hill Road office to argue that AI is not just another hype cycle, but the payoff of an “80-year overnight success”: from neural nets and expert systems to transformers, reasoning models, coding, agents, and recursive self-improvement. He lays out why he thinks this moment is different, why AI is finally escaping the old boom-bust pattern, and why the real bottleneck may be less about models than about the messy institutions, incentives, and social systems that struggle to absorb technological change.This episode was a dream come true for us, and many thanks to Erik Torenberg for the assist in setting this up. Full episode on YouTube!We discuss:* Marc's long view on AI: from the 1980s AI boom and expert systems to AlexNet, transformers, and why he sees today's moment as the culmination of decades of compounding technical progress* Why “this time is different”: the jump from LLMs to reasoning, coding, agents, and recursive self-improvement, and why Marc thinks these breakthroughs make AI real in a way prior cycles were not* AI winters vs. “80-year overnight success”: why the field repeatedly swings between utopianism and doom, and why Marc thinks the underlying researchers were mostly right even when the timelines were wrong* Scaling laws, Moore's Law, and what to build: why he believes AI scaling laws will continue, why the outside world is messier than lab purists assume, and how startups can still create durable value on top of rapidly improving models* The dot-com crash and AI infrastructure risk: Marc's comparison between today's AI capex boom and the fiber/data-center overbuild of 2000, plus why he thinks this cycle is different because the buyers are huge cash-rich incumbents and demand is already here* Why old NVIDIA chips may be getting more valuable: the pace of software progress, chronic capacity shortages, and the idea that even current models are “sandbagged” by supply constraints* Open source, edge inference, and the chip bottleneck: why Marc thinks local models, Apple Silicon, privacy, trust, and economics all point toward a major role for edge AI* American vs. Chinese open source AI: DeepSeek as a “gift to the world,” why open models matter not just because they're free but because they teach the world how things work, and how open source strategies may shift as the market consolidates* Why Pi and OpenClaw matter so much: Marc's claim that the combination of LLM + shell + filesystem + markdown + cron loop is one of the biggest software architecture breakthroughs in decades* Agents as the new “Unix”: how agent state living in files allows portability across models and runtimes, and why self-modifying agents that can extend themselves may redefine what software even is* The future of coding and programming languages: why Marc thinks software becomes abundant, why bots may translate freely across languages, and why “programming language” itself may stop being a salient concept* Browsers, protocols, and human readability: lessons from Mosaic and the web, why text protocols and “view source” mattered, and how similar principles may shape AI-native systems* Real-world OpenClaw use: health dashboards, sleep monitoring, smart homes, rewriting firmware on robot dogs, and why the most aggressive users are discovering both the power and danger of agents first* Proof of human vs. proof of bot: why Marc thinks the internet's bot problem is now unsolvable via detection alone, and why biometric + cryptographic proof of human becomes necessaryTimestamps* 00:00 Marc on AI's “80-Year Overnight Success”* 00:01 A Quick Message From swyx* 01:44 Inside a16z With Marc Andreessen* 02:13 The Truth About a16z's AI Pivot* 03:29 Why This AI Boom Is Not Like 2016* 06:33 Marc on AI Winters, Hype Cycles, and What's Different Now* 10:09 Reasoning, Coding, Agents, and the New AI Breakthroughs* 12:13 What Founders Should Build as Models Keep Improving* 16:33 AI Capex, GPU Shortages, and the Dot-Com Crash Analogy* 24:54 Open Source AI, Edge Inference, and Why It Matters* 33:03 Why OpenClaw and PI Could Change Software Forever* 41:37 Agents, the End of Interfaces, and Software for Bots* 46:47 Do Programming Languages Even Have a Future?* 54:19 AI Agents Need Money: Payments, Crypto, and Stablecoins* 56:59 Proof of Human, Internet Bots, and the Drone Problem* 01:06:12 AI, Management, and the Return of Founder-Led Companies* 01:12:23 Why the Real Economy May Resist AI Longer Than Expected* 01:15:53 Closing ThoughtsTranscriptMarc: Something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic. Having said that, I think what's actually happened is an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years where that was controversial. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right?Which is like, it's an overnight success ‘cause it's like bam, you know, chat GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.If I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough.swyx: Before we get into today's episode, I just have a small message for listeners. Thank you. We will not be able to bring you the ai, engineering, science, and entertainment contents that you so clearly want if you didn't choose to also click in and tune into our content.We've been approached by sponsors on an almost daily basis, but fortunately enough of you actually subscribed to us to keep all this sustainable without ads, and we wanna keep it that way. But I just have one favor to ask all of you. The single, most powerful, completely free thing you can do is to click that subscribe button.It's the only thing I'll ever ask of you, and it means absolutely everything to me and my team that works so hard to bring the in space to you each and every week. If you do it, I promise you will never stop working to make the show even better. Now, let's get into it.Alessio: Hey everyone, welcome to the Lidian Space Pockets. This is CIO, founder Kernel Labs, and I'm joined by s Swix, editor of Lidian Space.swyx: Hello. And we're in a 16 Z with a, uh, mark G and welcome.Marc: Yes, yes. A and what, half of 16? Something like that. A one. Exactly,swyx: exactly. Uh, apparently this is the, the final few days in your, your current office.You're moving across the road.Marc: Uh, we're, yeah. We have a, we have some, we have some projects underway, but yeah, this is actually, oh, this is the original. We're in actually the original office. We're in the, we're in the, we're, we're in the whole thing.swyx: It's beautiful. Yeah. Great.Marc: Thank you.swyx: So I have to come out, uh, this is a, you know, I wanted to pick a spicy start in October, 2022.I just made friends with Roone and, uh, I wanted to give him something to sort of be spicy about. And I said, uh. Uh, it'll never not be funny. The A 16 Z was constantly going. The future is where the smart people choose to spend their time and then going deep into crypto and not in ai. And that was in October 22nd, 2022.And Ruen says there was an internal meeting in a 16 Z to reorient around Gen ai. Obviously you have, but was there a meeting? What, what was that?Marc: I mean, I don't, look, I've been doing AI since the late eighties.swyx: Yeah.Marc: So I, I don't know, like all that, as far as I'm concerned, this stuff is all Johnny cum lately.Yeah. You, I mean, look, we've been doing ar entire existence. I mean, we've been doing AI machine learning deep, you know, deeply. We've been doing this stuff way from the beginning. Obviously a AI is just core to computer science. I, I, I actually view them as like quite, uh, quite continuous. Um, you know, Ben and I both have computer science degrees.Um, you know, we, we both, Ben, Ben and I actually both are world enough to remember the actual AI boom in the 1980s. Yeah. There was like a, there was a big AI boom at the time. Um, and there was a, was names like expert systems. Um, and they of like lisp and lisp machines. Uh, I, I coded in lisp. I was coding a lisp in 1989.When that was the, the language of the AI future. Um, yeah. So this is something that we're like completely, you completely comfortable with. I've been doing the whole time and are very enthusiastic aboutswyx: is there a strong, like this time is different because, uh, my closest analog was 20 16 17. It was an AI boom.Mm-hmm. And it petered out very, very quickly. Um, we, it just, it just in terms of investingMarc: sort of, sort of,swyx: yeah. Investment, investment excitement.Marc: Although that's really when the, the, the Nvidia phenomenon really, it was, I would say it was in that period when it was very clear that at, at the time it, the vocabulary was more machine learning, but it, it was very clear at that time that machine learning was hitting some sort of takeoff point.Alessio: Yeah.Marc: Well, and as you guys, you guys have talked about this at length on, on your thing, but, you know, if you really track what happened, I think the real story is, it was, it was the Alex net, uh, basically breakthrough in like 2013. That was the, that was the real knee in the curve. Um, and then it was obviously the transformer breakthrough in 17.Alessio: Yeah.Marc: Um, and then everything that followed. But, but, you know, look, machine learning, you know, there were, you know, look, uh, I mean look, I've been working, you know, I've been working with, uh, one of my, you know, kind of projects working with Facebook since 2004. Um, and on the board since 2007, and of course, you know, they, they started using machine learning very early, um, and, you know, have used it basically, you know, for like 20 years for, you know, content, you know, feed optimization and advertising optimization.And obviously many, you know, financial services. You know, many, many, many companies, many different sectors have been doing this. And so it's like one of these things, it's like, it's not a, it's not a single thing. Like it's, it's like, it's like layers, right? Yeah. Um, and, and the layers arrive at different paces and, but they kind of build up.swyx: Yeah.Marc: Uh, they kind of build up over time and then, and then, yeah. And then look, in retrospect, it was 2017 was kind of the, you know, the key, the key point with the trans transformer and then. And then as you guys know, there was this really weird like four year period where it's like the, the transformer existed and then it was just like,swyx: let's go.Yeah.Marc: Well, but, but it was just, but, but between 2020, but between 2017 and 2021, I mean, that was the era of which like companies like Google had internal chat Botts, but they weren't letting anybody use them.swyx: Yeah.Marc: Right. And then, you know, and then OpenAI developed Chat GT or GPT two, and then they told everybody, this is way too dangerous to deploy.Right. Yeah. You know, we can't possibly let normal people, normal people use this thing. And then you, you guys, I'm sure remember AI Dungeon, um mm-hmm. So the o for, there was like a year where like the only way for a normal person to use GP T three was in, in AI dungeon.Alessio: Yeah.Marc: And so you, you, we would do this, you'd go in there and you'd pretend to play Dungeons and Dragons.In reality, you're just trying to talk to talk to GPT. And so there was this, you know, there was this long, you know, and I, you know, the big, big companies, you know, big companies are cautious and, you know, the big companies were cautious. It, it, by the way, it took open ai. You know, they, they, they talk about this, it took open AI time to actually adjust, you know, kind of re redirect their researchswyx: path.I, I think, uh, let say Rosewood, right? Uh, the, the dinner that founded OpenAI was right there.Marc: Right, right. But that, that dinner would've taken place in 20swyx: 18Marc: 19. The formation of OpenAI Uhhuh as late as 2018.swyx: Uh, uh, sorry. Uh, no, I'm, I'm, I'm, I'm wrong. Probably It should be 20. Yeah. They just celebrated a 10 year anniversary, so it it is 2025.Yeah, so, so 2015?Marc: Yeah. 2015. Yeah. 2015. But then, uh, um, Alec Radford did G PT one in what, probablyswyx: mm-hmm. 17, 18,Marc: yeah. 17, 18. So it, yeah. For, and then, and then they didn't really, and then GPT three was what? 2020? 2020.swyx: 2020.Marc: Because that became copilot immediately. Even open ai, which has been, you know, the leader of, of this thing in the last decade, you know, e even they had to adapt and, and, and lean into the new thing.And so. Um, yeah, I, I think it's just this process of basically sort of wave after wave layer after layer, you know, building on itself. And then you kind of get these catalytic moments where, where the whole thing pops and, and obviously that's what's happening now.swyx: Is it useful to think about will there be any ai, winter?‘cause there's always these patterns. Like, is this, in the summer is something I constantly think about because do I get, do I just like. Just get endlessly hyped and just trust that I will only be early and never wrong or right. Well, are we, will there be a winter?Marc: So there's something about, say the following.There's something about AI that has led to this repeated pattern. Um, and, and, and you guys know this,swyx: it's summer, winter, summer,Marc: winter, summer, winter, summer, winter. And it goes back 80 years. Yeah. 80 years. Uh, so the original neural network paper was 1943. Right. Which is, which is amazing. Uh, that it was, it was far back that long.And then there was you, if you guys have ever talked about this on your show, but there was this, uh, there was a big, uh, there was an a GI conference at Dartmouth University in 1950. 55. 55, yeah. And they got a NSF grant to, uh, for the, all the AI experts at the time to spend the summer together. And they figured if they had 10 weeks together, they could get a GI, uh, at the other end.And they got their, by the way, they got the grant, they got the 10 weeks and then, you know, 1955, you know. No, no. A GI. And like I said, I, I lived through the eighties version of this where there was a big, a big boom and a crash. And so, so there is this thing, and there, there is something about AI that causes the people in the field, I would say, to become both excessively utopian and excessively apocalyptic.Um, and, and it's probably on both sides of like the, the, the boom bus cycle. You, you kind of see that play out. Having said that, I think what's actually happened is like just, and you know, and we now know in retrospect like an enormous amount of technical progress that built up over time. And like for, for example, we now know that neural network is the correct architecture.And I, I will tell you like there was a 60 year run where that was like a, you know, or even 70 years or that was controversial. And, and we now know that that's the case. And so we, we now, you know, everything we're building on today just sort of derives from the original idea in 1943. And so, so in retrospect, we, we now know that like, these, these guys are right.They, they, you know, they would get the timing wrong and they thought, you know, capabilities would arrive faster, or they were, it could be turned into businesses sooner or whatever, but like, they were fundamentally, the, the scientists who worked on this over the course of decades were fundamentally correct about what they were doing.And, and the, and the payoff from, from, from all their work is happening now. And so, so the way I think about what's happening is basically, I think, I think about basically the, the, the period we're in right now is it's, I call it 80 year overnight success, right? Which is like, it's an overnight success.‘cause it's like bam, you know, chat, GPT hits and then, and then oh one hits, and then, you know, open claw hits and like, you know, these are open, these are, these are like overnight, like radical, overnight transformative successes, but they're drawing on an 80 year sort of wellspring backlog, you know, of, of, of, of ideas and thinking it's not just that it's all brand new, it's that it's an unlock of all of these decades of like very serious, hardcore research.Um, and thinking, and look, there were AI researchers who spent their entire lives. They got their PhD. They, they worked for, they've researched for 40 years. They retired in a lot of cases, they passed away and they never actually saw it work.swyx: Yeah. It's all sad.Marc: It is. It is sad. It's sad. Knewswyx: Jeff Hinton was like the last guy.Marc: Yeah. Yeah. Well, there were the guys, uh, was a guy, Alan Newell. I mean, there's tons of John McCarthy. You know, John McCarthy was like one of the inventors in the field. He's one of the guys who organized the Dartmouth Conference and you know, he taught at Stanford for 40 years. Wow. And passed, you know, passed away, I don't know, whatever, 10, 10 years ago or something.Never, never actually go. Got to see it happen. But like, it is amazing in retrospect, like, these guys were incredibly smart and they worked really hard and they were correct. So anyway, so then it's like, okay, you know, say history doesn't repeat, but it rhymes. It's like, okay, does that mean that there's gonna be another, like, you know, basically boom buzz cycle.And I, I will tell you, like, let, like in a sense, like yes, everything goes through cycles and, you know, people get overly enthusiastic and overly depressed and there's, there's a time, there's a timelessness to that. Having said that, there's just no question. Um, so the form, the foremost dangerous words in investing this time are, this time is different.Do you know the 12 most dangerous words investing? No. The four most d foremost dangerous words in investing are this time is different. Yeah. Um, the 12 most dangerous words. And so like, I'll tell you what's different. Like now it's working like, like there's just no, I mean, look, there's just no question.And by the way, I, I'll just give you guys my take. Like L LLMs, like from, from basically the Chad G PT moment through to spring of 25. I think you could still, I think well intention, well, and of. Form skeptics could still say, oh, this is just pattern completion. And oh, these things don't really understand what they're doing.And you know, the hall hallucination rates are way too high. And, you know, this is gonna be great for creative writing and creating, you know, Shakespeare and so sonnets and, you know, as, as rap lyrics or whatever, like, it's gonna be great and all that stuff, but we're not gonna be able to harness this to make this relevant in, you know, coding or in medicine or in law or in, you know, you know, kind of feels that, you know, kind of really, really matter.And I think basically it was the reasoning breakthrough. It, it was oh one and then R one that basically answered that question basically said, oh no, we're gonna be able to actually turn this into something that's gonna work in the real world. And, and then obviously the coding breakthrough over the, over basically the coding breakthrough that kind of catalyzed over the holiday break was kind of the third step in that.Mm-hmm. Where you're just like, alright, if, if, you know, if Linus Tova is saying that the AI coding is no better than he is like. Like, that's, that's never happened before. That's theswyx: benchmark.Marc: Yeah. That's never happened before. And so now we know that it's, it's gonna sweep through coding and, and then, and then we, we know, you know, we know that if it's gonna work in coding, it's gonna work in everything else.Right. It's just then, because that's, that's like, that's like, that's like the hardest in many ways. That's the hardest example. And how everything else is gonna be a, a derivative of that. And then on top of that, we just got the agent breakthrough, you know, with Open Claw, which is fantastic. Which is amazing and incredibly powerful.And then we just got the, the, um, the auto research, uh, you know, the, the self-improvement. You know, we're now into the self-improvement breakthrough. And so the, so the way I think about it is we've had four fundamental breakthroughs in functionality, l OMS reasoning, uh, agents, um, and then, uh, and, and then now RSI, um, and, and they're all actually working.Um, and so I'm, I'm just, as you like, you can tell I'm jumping outta my shoes. Like, like this is, like this is it like this, this is the culmination of 80 years worth of worth of work, and this is the time it's becoming real.Alessio: Yeah.Marc: I, I'm completely convinced.Alessio: I think the anxiety that people feel is like during the transistor era, yet Mors law, and it's like, all right, we understand why these things are getting better.We understand the physics of it. Yeah. With ai, it's. It's so jagged in like the jumps where like, like you said, it's like in three months you have like this huge jump like, and people are like, well this can keep happening. Right? But then it keeps happening,Marc: it'll keep happening.Alessio: And so like how do you think about also timelines of like what's we're building?I think we always have this question with guests, which is like, you know, should you spend time building harness for a model versus like the next model just gonna do it one shot in the lead space. Right. And how does that inform, like how you think about the shape of the technology? You know, you talk about how it's a new computing platform.If you have a computing platform, then like every six months it like drastically changes in what it looks like. It's hard to build companies on top of it.Marc: Yeah. So, so a couple things. So one is like, look, the, the Moore's law was what we now call a scaling law. Like Moore's Law was a scaling law and for your younger viewers, more Moore's Law was every chip chip chips either get twice as powerful or twice as cheap every, every 18 months.And that, and that and that, you know, that it's gotten more complicated in the last few years. But like that, that was like the 50 year trajectory of, of, of the computer industry. And then, and then by the way, and that's what took the mainframe computer from a $25 million current dollar thing into, you know, the phone in your pocket being, you know, a million times more powerful than that.Like that, you know, for, for 500 bucks. And so that, that was a scaling law. And then, and then, and then key to any scaling law, including Moore's Law and the AI scaling laws is, you know, they're not really laws, right? They're, they're, they're, they're predictions, but when they work, they become self-fulfilling predictions because they, they, they, they, they set a benchmark and, and then the entire industry, right?All the smart people in the industry kind of work to make sure that, that, that actually happens. And so they, they kind of motivate the breakthroughs that are required to, to keep that going. And, and in and in chips, that was a 50 year, that was a 50 year run. Right. And it, it was amazing. And it's still happening in, in some areas of, of chips.I think the same thing is happening with the, the core scaling laws. The core scaling laws. In, in, in ai, you know, they're, they're not really laws, but like they, they are basically. There are predictions and then they're motivating catalysts for the research work that is required to be. And, and, and, and by the way, also the investment, uh, dollars, um, uh, you know, required to basically keep, you know, keep the curves going and, and look, it, it is, it's gonna be complicated and it's gonna be variable and they're, you know, there're gonna be walls that are gonna look like they're fast approaching, and then they're gonna be, you know, engineers are gonna get to work and they're gonna figure out a way to punch through the walls.And obviously that's, you know, that's been happening a lot, you know, and then look, there's gonna be times when it looks like the walls have, you know, the, the, the laws have petered out and then they're gonna, they're gonna pick up again and surge and then, and then, and then it, it appears what's happening to the eyes is there's not multiple, you know, multiple scaling laws.Um, there's multiple areas of improvement. And, and I think, you know, I don't know how many more there are already yet to be discovered, but there are probably some more that we don't know about yet. You know, they, like, for example, there's probably some scaling law around, um, world models and robotics that we don't fully understand, you know, kind of acquisition of data at scale in the real world that we don't fully understand yet.So that, that, that one will probably kick in at some point here. There's a bunch of really smart people working on that. Um, and so, yeah, I, I think the expectation is that, that, you know, the, the scaling laws generally are gonna continue. Yeah. The, the pace of improvement will continue to move really fast.Um. To your question on like what to build. So, uh, I'm a complete believer the scaling laws are gonna continue. I'm a complete believer the capabilities are gonna keep getting amazing, um, you know, leaps and bounds. Uh, the part where I kind of part ways a little bit with how, what I would describe as the AI purists, um, you know, which is, which I would characterize as like the people who are.In many ways, the smartest people in the field, but also the people who spend their entire life, like at a lab, um, and have, have, I would say, have very little experience in the outside world. Um, the, the, the nuance I would offer is the outside world of 8 billion people and institutions and governments and companies and economic systems and social systems is really complicated.Um, and, um, and doesn't, you know, it it 8 billion people making collective decisions on planet Earth is not a simple process of like, just like you see this happening now. It's like a bunch of AI CEOs have this thing, which is just like, well, there's just this, they just all have this kind of thing when they talk in public where they're just like, well, there's these, these obvious set of things that so society to do.Alessio: Mm-hmm.Marc: And then they're like, society's not doing any of those things. Right. And it's like, how can society not, you know, what, whatever their theory is, how can society not see x, y, Z? Mm-hmm. And the answer is, well, society is number one. There's no single society, it's like 8 billion people. And they like all have a voice, and they all have a vote, like at the end of the day of how they, they react to change.And then, you know, it just like, it's just human reality is just really complicated and messy. Um, and, and, and so the specific answer to your question is like, as usual, it depends. Um, you know, it, it depends. Look, pe there's no question people are gonna, like, there's no question they're gonna be companies.It's already happening. There are companies that think that they're building value on top of the models and then they're just gonna get blissed by the, by the next model. There's no question that's happening. But I think there's no question also that just the process of adaptation of any technology into the real and into the real messy world of humanity is, is just going to be messy and complicated.It's, it's not going to be simple and straightforward. It's gonna be messy and complicated. And there are gonna be a lot of companies and a lot of products, um, uh, and in, in fact entire industries that are gonna get built to, to, to basically actually help all of this technology actually reach real people.Alessio: The amount of capital going into these companies, I mean, Dario talked about it on the Door Cash podcast and Door Cash was like, why don't you just buy 10 x more GPUs? And he is like, because I'm gonna go bankrupt if the model doesn't exactly hit the, the performance level. How do you think about that?Also as a risk on, you know, you guys are investors, open AI and thinking machines and world apps. It seems like we're leveraging the scaling loss at a pretty high rate, right? Like how comfortable, I guess, do you feel with the downside scenario, like, and say like things Peter out, you think you can kind of like restructure uh, these build outs and uh, you know, capital investments.Marc: Yeah. So should start by saying, so I live through the.com crash, um, and I can tell you stories for hours about the.com crash and it was horrible. No, it was awful. It was, it was, it was apocalyptic by the way. The, a lot of the.com crash was actually at the time, it was actually a telecom crash. It was a bandwidth crash.Like the, the thing that actually crashed, that wiped out all the money with the tele, the telecom companies.swyx: GlobalMarc: crossing. Global, global, yeah.swyx: I'm from Singapore and they, they laid so much cable o over over our oceans.Marc: Actually there was a scaling law in the.com. Era. And it was literally the, the US Commerce Department put out a report in 1996 and they said internet traffic was doubling every quarter.Um, and, and actually in 1995 and 1996, internet traffic actually did double every quarter. And so that became the scaling law. And so what all these telecom entrepreneurs did was they went out and they raised money to build fiber, anticipating that the demand for bandwidth is gonna keep doubling every quarter.Doubling every quarter though is like, you know, grains of chess and the chessboard, like at some point the numbers become extremely large. Right. And, and, and it really, and really what happened was the internet. The internet by the way, continuously kept growing basically since inception. And it's, you know, it's, it's continuously grown.It's never shrunk. And it's grown really fast compared to anything else. Mm-hmm. You know, in, in, in human history. But it wasn't doubling every quarter as of 19 98, 19 99. And so there was this gap in the expectation of what they thought was a scaling law versus reality. And that's actually what caused the.com crash, which was the, it they, they way over companies like global crossing way overbuilt fiber, which is sort of the, and by the way, fiber, telecom equipment, you know, so all the, all the networking gear, you know, and then, and then by the way, the actual physical data centers, like that was the beginning of the, of the, of the data center build and then, and the data center overbuild.And so you had that, but it was, it was literally, I think it was like $2 trillion got wiped out, right? It was like Jesus, it was like a big, it was. And by the way, the other, the other subtlety in it was the internet companies themselves never really had any debt. ‘cause tech, tech companies generally don't run on debt, but the telecom companies run on debt.Physical infrastructure companies run on debt. And so the companies like Global Crossing not just raise a lot of equity, they also raise a lot of debt. So they're highly levered. And so then you just do the thing. It's just like, okay, you have a highly levered thing where you're, you're just over, you're overbuilding capacity.Demand is growing, but not as fast as you hoped. And then boom, bankrupt. Right. And, and then it, and then it's like they say about the hotel industry, which is, it's always the third owner of a hotel that makes money. It has to go bankrupt twice, right? You have to wash out all of the over optimistic exuberance before it gets to actually a stable state.And then it makes money. So by the way, all of those data centers and all of those, all the fiber that they're in use, it's all in use today. Yeah. But 25 years later. But it, it, it took, and actually the elapsed time was, it took 15 years. It took 15 years from 2000 to 2015 to actually fill, fill up all that capacity.The cautionary warning is the, the overbuild can happen. Um, and, and, and, and, you know, you, you get into this thing where basically everybody, everybody who basically has any sort of institutional capital, it's like, wow. It's just, I, I don't know how to invest in these crazy software things. For sure I can put build data centers and for sure I can buy GPUs that I can deploy, you know, compute grids and, and all these things.Um, and so, you know, if you're a pessimist, you could look at this and you could say, wow, this is like really set up to be able to basically replicate, you know, what we went through, what we went through in 2000. Obviously that would be bad. The counter argument, which is the one I I agree with, which is the counter on, on the other side is a couple things.One is the companies that are investing all the, the companies that are investing the money are like the bluest chip of companies. And so back, back, back in the, in the do, like Global Crossing was like a, it was like an entrepreneur. It was like a, a new venture, but like the money that's being deployed now at scale is Microsoft, and, you know, and Amazon and Google, Facebook and Facebook and Nvidia and, you know, these, these, these, and, and now you know, by the way, open ai philanthropic, which are now at like, you know, really serious size, um, you know, as companies with, you know, very serious revenue.These are very large scale companies with like, lots, lots of cash, lots of debt capacity that they've, they've never used. And so th this is institutional in a way that, that really wasn't at the time. And then the other is, at least for now, every dollar that's being put into anything that results in a running GPU is being turned into revenue right away.Like so, and you guys know this, like everybody's starved for capacity, everybody's starved for compute capacity and then, you know, all the associated things, memory and, and, and interconnected and everything else. Um, data center space. And so e every dollar right now that's being put into the ground is turning into revenue.And, and it, and in fact, I actually think there's an interesting thing happening, which is because everybody starve for capacity, the models that we actually have that we can use today are inferior versions of what we would have if not for the supply constraints. That's true. Um, if Right pose a hypothetical universe in which GPUs were 10 times cheaper and 10 times more plentiful mm-hmm.The models would be much better. ‘cause you would just allocate a lot more money to training and you'd just build better models and they would be better. Um, and so we're, we're actually getting the sandbag version of the technology.swyx: Yeah. No. Everything we use is quantized because the, the labs have to keep the, the full versions,Marc: right?swyx: LikeMarc: we're not even getting the good stuff.swyx: Yeah.Marc: But, but getting the good stuff, it's, it's just, even if technical progress stops. Once there's like a much bigger build of like GPU manufacturing capacity and memory, you know, all, all the things that have to happen in the course of the next five or 10 years.Once it happens, even the current technology is gonna get, gonna get much better. And then as you know, like there's just like a million ways to use this stuff. Like there's just like a million use cases for this. Mm-hmm. Like, it, it, you know, this isn't just sending packets across a, a thing, whatever, and hoping that people find something to do with it.This is just like, oh, we apply intelligence into every domain of human activity. And then it works like incredibly well. Yeah. Um. Here's what I know, here's what I know. Um, in the next three or four year, it's like somewhere between three or four years out, basically everything is selling out. So like the, the entire supply chain is, is, is, is sold out or, or, or selling out.And so there, there's no, like, we're just gonna have like chronic supply shortage for, you know, for years to come. Um, there's going to be a response from the market that's gonna result in an enormous, you know, it's happening now. An enormous flood of investment in a new fab capacity and ev you know, every, everything else to be able to do that, at some point the supply chain constraints will unlock, you know, at least to some degree that will be another accelerant to industry growth when that happens.‘cause the products will get better and everything will get cheaper. Um, and so, so I know that's gonna happen. I know that, you know, the deployments, you know, the, the actual use cases are like really compelling. And then, like I said, you know, with reasoning and agents and so forth, like, I know they're just gonna get like much, much better from here.And so I, I, I know the capabilities are like really real and serious. I also know that the technical progress is not going to stop. It. It, it is excel. It is, is accelerating. Like the, the breakthroughs are are tremendous. I mean, even just month over month, the breakthroughs are really dramatic. And so, you know, I think if you were a cynic and there, there are cynics, you can look at 2000, you can find echoes.But I can't even imagine betting it that this is gonna like somehow disappoint and, you know, at least for years to come, I think it would be essentially suicidal to make that bet. Yeah. Um, it was that Michael Burry, uh, uh, that'sswyx: anMarc: interesting guy, huh? We'll pick on a guy. We'll pick, let's pick on one guy.We'll pick. Well ‘cause he did, he he came out with, it was, it was the, heswyx: doesn't mind.Marc: It was the Nvidia short. Right. He came with the Nvidia short. And then if you guys probably talked about this, which is the, the analysis now that like the current models are getting better faster at such a rate that if you are running an Nvidia, if you're running an Nvidia inference chip today, that's three years old, you're making more money on it today than you did three years ago because the pace of improvement of the software is, is faster than the, the, the depreciation cycle, the chip.And then my understanding is Google is running. I don't if they've, I don't know exactly what, uh, these are rumors that I've heard or maybe it's public, but, um, I think Google's running very old TPUs, very profitably. Ference. Yeah. And very profit and very profitably. Yeah. Um, and so, so it actually turns out, as far as I can tell, it's actually the opposite of the Beery thesis is actually.He was actually 180 degrees wrong. It's actually the, the, the, the old Nvidia chips are getting more valuable, which is something that's like literally never happened before. Like it's never been the case that you have an older model chip that becomes more valuable, not less valuable. And that, and again, that's an expression of the just ferocious pace of software progress.Ferocious pace of capability payoff. Yeah. Uh, that you're getting on the other side of this. And so I just, the idea of betting against that, like.swyx: Yeah. Yeah. Well, one ofMarc: my, it seems like an invitation to get your face ripped up.swyx: One of my early hits was like modeling the lifespan of the H 100 and h two hundreds and, and going like, you know, usually they advise like four to seven years and it was, you know, maybe you sort of realistically haircut cut it down to two to three.Yeah. But actually it's going up and not down. Yeah. And, and uh, that's, I mean that's, I think that's the dream. Uh, we are finding utilization and I think utilization solves all problems. Like, you can, you can find use, use cases for even like the poor, like even memory, we're having a shortage. Right. And, and even like the, the shittier versions of, of memory that we do have, we are finding use cases for it.So like That's great.Marc: Yeah.Alessio: How, how important is open source AI and kinda like edge inference in a world in which you have three years of supply crunch. Like, do you think in the, like, you know, if you fast forward like five years, like how do you think about inference, uh, in the data center versus at the edge?Marc: Well, so just to start, yeah. So I think, I think open source is very important for a bunch of reasons. I think edge, edge inference is very important for a bunch of reasons. I, I think just practically speaking, if we're just gonna have fundamental construc, supply crunches for the next, I mean, you, you guys know if you just project forward demand over the next three years, right?Yeah. Relative to supply, one of the, its main predictions you can do is what's gonna, what, what's gonna happen to the cost of, of inference in the core, uh, over the next three years? And like, it may rise dramatically, right? Like, so, so what is, and then is, is, you know, like the, the, the big model competition are subsidizing heavily right now.Right? Right. And so, so what's the, what will be the average person's, you know, per day, per month token cost, you know, three years from now to do all the things that they want to do. And I, I don't know, it's gonna. I mean, I have, you guys probably have friends, I have friends today who are paying a thousand dollars a day for open claw, for claw tokens to run open claw.Right? And so, okay. $30,000 a month. Right? And, and by the way, those, those friends have like a thousand more ideas of the things that they want their claw to do, right? Yeah. And so you, you could imagine there, there's like latent demand of up to, I don't know, five or $10,000 a day of, of, of tokens for a fully deployed, you know, per personal agent.Uh, and obviously consumers can't pay that, right? And so, so, but it gives you a sense of the fu of the fu of the future scope of demand, right? And so, so even, even if there's a 10 x improvement in price performance, that still, you know, goes to a hundred dollars a day, which is still way beyond what people can pay.Mm-hmm. So there's just gonna be like. Ferocious to me, by the way. The agent thing, the other interesting thing is I think the agent thing, so up until now, a lot of the constraints of GGPU constraints, I think the agent thing now also translates into CPU constraints. Mm-hmm. Right?swyx: CPU memory.Marc: Yes. CPU memory, right?And so, like the entire chip ecosystem is just gonna get wait,swyx: wait for network constraints, that that will be the killer.Marc: It's all bottleneck potentially for years. And so, so I, I think that Brad, and, and I think it's actually possible, I mean, generally inference costs are gonna keep coming down, but I think the, let's put it this way, the rate of decline, I think may level out here for a bit because of these supply constraints.And then at some point, maybe the lab stops subsidizing so much and that, that, that again, will be, be an issue. And so there's just gonna be so much more demand for inference than, than can be satisfied. Um, you know, kind of with the centralized model. And then, and then, you know, you guys know this, but like all the, just the dramatic, I mean just the dramatic innovations that have happened in the Apple silicon to be able to do, uh, inferences, it's quite amazing the level of effort being put.Like the open source guys are putting incredible effort into getting, you know, this recurring pattern where the big model will never run on a pc, and then six months later mm-hmm. Oh, it runs in a pc, right? It's like amazing. And there's very smart people working on that. So there's all that. And then look, there's also, you know.There's also like other, there's other motivators. There's other motivators which is just like, okay, how much trust are the big centralized model providers? You know, how much trust are they building in the market versus, you know, how much are, you know, at least for, in certain cases with some people, for certain use cases, people being like, well, I'm not willing to just like, turn everything over.So there, there, there's all the trust issues. Um, by the way, there's also just like straight up price optimization. There's many uses of AI where you don't need Einstein in the cloud. You just need like a, a a, a smart local model. There's also performance issues where you want, you know, you want, you know, you're gonna want your doorknob to have an AI model in it.Right. You know, to be able to, you know, do, um, you know, to be able to do access control. Um, obviously like everything with a chip is gonna have an AI model in it. Mm-hmm. And it, a lot of those are gonna be local. Um, and so, yeah. No, like I think, I think you're gonna have ti and then you're gonna, by the way, also wearable devices, you know, you don't wanna do a complete round trip.You want, you know, you, whatever your smart devices are, you want it to be like super low latency. Yeah.swyx: The question, do we care who makes it? Yeah. One of the biggest news this week was the collapse of AI two, the Allen Institute. Mm-hmm. One of the actual American open source model labs. Yeah. Um, and, uh, I'm not that optimistic on, on American open source.Yeah. Like you, you guys invested in MIS trial and MIS trial's doing extremely well outside of China. That's about it.Marc: Yeah. We'll see. We'll see. I look, I, number one, I do think we care. Uh, I do think we, I do think we care who makes it. Um, I would say this, the, the, the, the previous presidential administration wanted to kill it in the us Oh yeah.They wanted to drown in the bathtub. Um, and so they wanted to kill it. So at least we have a government now that actually like, actually wants it wants it to happen. And youswyx: earned to councilMarc: and Yeah. And the new and the P pcast. Yeah. So the, the, you know, this admin for whatever other political issues people have, which are many, you know, this administration has, I think a very enlightened view and in particular an enlightened view on AI and in particular on open source ai.Uh, and so they're very supportive. Um, my read is the Chi. The Chinese have a very, the various Chinese companies have a very specific reason to do open source, which is, they, they, they don't fundamentally, they don't think they can sell commercial, uh, AI outside of China right now. And or at least specifically not, not in the US for a combination of reasons.And so they, they kind of view, I think, open source AI as a bit of a loss leader against basically domestic, uh, you know, paid, paid services. And then kind of an, you know, kind of an ancillary products. You know, they're, they're very excited about it, by the way. I think it's great. I think it's great that they're doing it.Um, you know, I think Deeps seek was like a gift to the world. Um, I think. The great thing about open source, open source, the, the, the impact of open source is felt two ways. One is you, you get the software for free, but the other is you get to learn how it works, right? And so like the paper, the paper, the paper and, and the code, right?And the code. And so, like, for example, I thought this was amazing. So open comes out with L one and it's an amazing technical breakthrough, and it's just like, absolutely fantastic. But of course they don't explain how it works in detail. And then of course they hide the, they hide the reasoning traces, right?And, and then, and then, and then everybody's like, okay, this is great, but like, who's gonna be able to replicate this? Are other people gonna be able to do this? You know, is their secret sauce in there? And then our one comes out and it's just like, there's the code and there's the paper, and now the whole world knows how to do it.And then, you know, three months later, every other AI model is, is adding reasoning. And so, so you get this kind of double, like even if the Chinese models themselves are not the models that get used, the education that's taken place to the rest of the world, the information diffusion, you know, is incredibly powerful.So that happens and then, I don't know. We'll, we'll see. You know, there are a bunch of American, you know, open source, you know, ai, uh, model companies. I mean, look, there's gonna be tremendous, you know, there already is. There's, you know, there's gonna be tre there's tremendous competition, uh, among the primary model companies.You know, there's, depending on how you count, there's like four or five, you know, big co model companies now that are, you know, kind of neck and neck, uh, in different ways. Um, uh, you know, and, and, and, um, you know, and then obviously Bo Bo both X and then MetAware involved are, you know, both have huge, you know, huge attempts to, you know, kind of, to kind of leapfrog underway.And then you've got, you know, a whole fleet of startups, new companies, including a whole bunch that we're backing, that are, you know, trying to come out with different approaches. And then you've got whatever it is. I don't know how, how many, how many, like main line foundation model companies are there in China at this point?It's probably six. It'sswyx: five Tigers is what they call it. Yeah. Uh, Quinn is in questionable because there's change in leadership,Marc: right?swyx: Yeah.Marc: But that, does that include, that includes like Moonshot,swyx: yes. Can deep seek, uh, uh, ZI, um, Quinn oh one is in there.Marc: Right. And then, um, and by dance and, and then you see,swyx: ance would be like the next tier ance.They weren't as prominent. They weren't, didn't haveMarc: a leading. Yeah. But they, you at least, you know, ance is very inspiring and presumably they have more stuff coming and Tencent probably has more stuff coming and, and so forth. And so, so, so like, look, here, here would be a thing you can anticipate, which is there are not these markets, there are not going to be between the US and China right now, there's like a dozen primary foundation model companies that are like at scale, at, at some level of a critical mass.It's not gonna be a dozen in three years, right? Like, it just because these industries don't bear a dozen, it's, it's gonna be three or you know, there's gonna be three or four big winners or maybe one or two big winners. And so there's gonna be like a whole bunch of those guys that are gonna have to figure out alternate strategies.Um, and I think like open source is one of those strategies. And so I, I think you could see like a whole, i, I, I think the questions like, who's gonna do open source? I think that could change really fast. I, I think that, that, that's a very dynamic thing. I think it's very hard to predict what happens. And, and I think it's very important.swyx: NVIDIA's doing a lot.Marc: Well, I was gonna say. Well, exactly. And then you're got Nvidia and then, and then, you know, just to, again, indu, there's an old thing in business strategy, which is called, uh, commoditize Compliments. Commoditize the compliment. That's right. And so if your Jensen is just kind of obvious, of course, you wanna commoditize the software.Yeah. And he's, and to his enormous credit, he's putting enormous resources behind that. And so maybe it, maybe it's literally Nvidia and I think that would be great.Alessio: Yeah. Uh, narrative violation to European projects, uh, in the, uh, damn.swyx: I'm hosting my, uh, Europe, uh, conference soon. And I got both of them.Alessio: They got us.They got us. MarkMarc: finished. They got us, us. Well, wait a minute. Where was Peter? So where was Steinberger when he did? In AustriaAlessio: was, yeah, yeah, yeah.Marc: He was in what? He was in Vienna. Oh, he was in Vienna. And then where is he now?swyx: Uh, he's moving to sf.Marc: Okay. Okay. Alright. Okay, there we go. And then, yeah, the PI guy, right?The PI guys are European.swyx: Yeah, they're also, they're buddies inAlessio: Australia. Mario's also there. Yeah.Marc: Right. And are they, yeah, they haven't announced yet. Any sort of change changed or have theyAlessio: No, they're, they have a company there.Marc: Okay. Got, okay. Good.Alessio: Good, good,good.Alessio: Um,Marc: yeah, good.swyx: Anyways, I think pie and open cloud very important software things and, and I just wanted you to just go off on what you think.Marc: Yeah. So I think in co the, the combination of the two of them I think is one of the 10 most important softwares. Openswyx: Claw got all the attention, but Right. Talk about pie,Marc: pi pie's, kind of the Yeah. PI's, PI's kind of the architectural breakthrough for those of us who are older. There was this whole thing that was very important in the world of software basically from like 1970 to, I don't know, it still is very important, but like 19, from 1973 to like basically the creation of Linux, which is basically this, this thing used to call like the Unix mindset.Like so, so, ‘cause there were all these different, you know, theories. There are all these different operating systems and mainframes and, and then you know, all these windows and Mac and all these things. And then there was this, but kind of behind it all was this idea of kind of the Unix mindset. And the Unix mindset was this thing where basically you don't have these, like, like in the old days, like, like the operating system that like made the computer industry really work, like in the 1960s mm-hmm.Was this thing called o os 360, which was this big operating system that IBM developed that was supposed to basically run everything. And it was this like giant monolithic architecture in the sky. It was like a, you know, it was like a giant castle. Um, of software. And, and by the way, it worked really well and they were very successful with it.But like, it was this huge castle in the sky, but it was this thing, it was almost unapproachable, which is like, you had to be kind of inside IBM or very close to IBM. And you had to really understand every aspect, how the system worked. And then the, the Unix sky is originally out of at and t and then out out of Berkeley, um, you know, came out and they said, no, let's have a completely different architecture.And the way architecture's gonna work is we're gonna have, we're gonna have a, a prompt and, and a, and a shell. And then, and then we're gonna, all, all the functionality is gonna be in the form of these discreet modules, and then you're gonna be able to chain the modules together. Mm-hmm. Yeah. And so like the, the, the op, it's almost like the operating, operating system itself is gonna be a programming language.Um, and then that led led to the, the, the sort of centrality of the shell. Um, and then that led to sort of, uh, you know, basically chaining together Unix tools. And then that led to the emergence of these, these scripting languages like Pearl, where you, you could basically kind of very easily do this, and then the shells got more sophisticated and then, and then, and then look like, you know, that, that, that number one, that worked and that, that was the world I grew up in.Like I was, I was a Unix guy. You know, sort of from, call it 1988 to, you know, kind of all, all the way through my work and it worked really well. It, it's in the background, um, you know, nor normal people don't need to, didn't need to necessarily know about it, but like, if you were doing like system architecture, application development, you, you, you knew all about it.Um, and then, you know, it's been in the background ever since. And, you know, look, your Mac still has a Unix shell, you know, kind of in there, and your iPhone still has a Unix shell kind of buried in there somewhere. So they're kind of in there. And then, you know, the Windows shell is kind of a, you know, sort of a weird derivative of that.But, um, you know, but look, the inter, the internet runs on Unix, um, and that smartphones, actually, both iOS and Android are Unix derivatives. And so, you know, kind of Unix did end up winning. But, but anyway, and then we just started taking that for granted. And then, and then so, so basically the, the way I think about what happened with Pie and then with Open Claw is basically what those guys figured out is, I always say the, the great breakthroughs are obvious in retrospect, right?Which is the best kind, the best kind. They weren't obvious at the time or somebody else would've done them already. Um, and so there is a, like a real conceptual leap, but then you look at it sort of the backwards looking and you're just like, oh, of course. Mm-hmm. Like the, the, to me those are always the best breakthroughs.Well, actually language models themselves are like that. It's just like, oh, next token completion. Oh, of course.swyx: Yeah. What other objective mattered?Marc: Yeah, exactly. But, but like it, right. But she's even saying it wasn't obvious until somebody actually did it. Right. And so the conceptual breakthrough is real and deep and powerful and, and very important.And so the way I think about pie and olaw is it's basically marrying the, the language model mindset to the un to the Unix, basically shell prompt mindset. And so it's, it's basically this idea that what, what, so what is an agent, right? And as, as, and as you know, like many smart people who have been trying to figure out what an agent is for, for, for decades, and they've had many architectures to build agents and the whole thing.And it turns out what is an agent. So it turns out what we now know is an agent is the following. It's, so it's a language model. And then above that, it's a ba, it's a bash shell. Um, so it's a, it's a Unix shell, and then it's, and then the agent has access, uh, has access to, to the shell. And, you know, hopeful, hopefully in a sandbox, maybe in, maybe in a sandbox.So it's, it's the model. Um, it's the shell. Um, and then it's a fi, it's a file system. Um, and then the state is stored in files. And then, you know, there's the markdown format for the, you know, for, for the files themselves. And then, and then there's basically what in Unix is called Aron job. There's a loop and then there's a heartbeat for the, there's heartbeat and, and the thing basically Wake Wakes up.Wakes up. So it's basically LLM plus shell, plus file system, plus markdown, plus kron. And it turns out that's an agent. And, and, and every part of that, other than the model is something that we already completely know and understand. And in fact, it turns out that like the latent power of the Unix shell is like extraordinary because basically like all, like, there's just like an, there's just enormous latent power in the shell.There's enormous numbers of Unix commands, there's enormous number of command line interfaces into all kinds of things already in the, you know, your entire, I mean your entire, just to start with, your computer runs on a shell. If you're running a Mac or a, or, or a phone, your computer, your computer's running on a shell, uh, already.And so like the full power of your computer is available at the command line level. Um, and then it turns out it's really easy to expose other functions as a command line interface. And so like this whole idea where we need like MCP and these like product mm-hmm. Fancy protocols, whatever, it's like, no, we don't, we just need like a command, command line thing.So that's the architecture. And then it turns out what is your agent? Your agent has a bunch of files starting a file system. And then there's the thing that just like completely blew my mind when I write my head around it as a result of this, which is like, okay. This means your agent is now actually independent of the model that it's running on.Because you can actually swap out a different LLM underneath your agent and your, your agent will change personality somewhat. ‘cause the model is different, but all of the state stored in the files will be retained.swyx: Yeah. Different instruction set, but you just compiledit.Marc: Right, exactly. And it's all right.It's like right. Swapping out a ship and recompiling, but it's, it's still, it's still your agent with all of its memories. Um, and with all of its capabilities. And then by the way, you can also swap out the shell, uh, so you can move it to a different execution environment that is also, is also a b shell, by the way, you can also switch out the file system, right.Uh, and you can, and you can, and you can swap out the, the, the heartbeat for the, the crown framework, the, the loop that the agent framework itself. And so your agent basically is ba basically at the end of the day, it's just. It's just, its files. Um, and then, and then there's of course it a openswyx: call.Marc: Yeah, it's, it's basically, it's, it's just the files.Um, and then by the way, as a consequence of that, the agent and then the agent itself, it turns out a couple important things. So one is it, it's, it, it can migrate itself, right? And so you're, you can instruct your agent, migrate yourself to a different, uh, runtime environment, migrate yourself to a different file system, migrate yourself to a different, you know, swap out the language model.Your agent will do all that stuff for you. And then there's the final thing, which is just amazing, which is the agent is the agent actually has full introspection. It actually, it actually knows about its own files and it could rewrite its own files. Right. Which by the way, is basically no widely deployed software system in history where the, the, the thing that you're using actually has full introspective knowledge of how it itself works and is able to modify itself.Like that, that, I mean, there have been toy systems that have had that, but there, there's never been a widely deployed system that has that capability and then that leads you to the capability. That just like completely blew my mind when I wrap my head around it, which is you can tell the agent to add new functions and features to itself and it can do that.Extend yourself. Yeah. Right? Extend, extend yourself. Like extend yourself. Give yourself a new capability. Right? And so, and so literally it's just like you run into somebody at a party and they're like, oh, I have my open claw, do whatever, connect to my eat, sleep bed, and it gives me better advice and sleep.And you go home at night and you tell your claw, or if they're at the party, by the way, you tell your claw, oh, add this capability to yourself. And your claw will say, oh, okay, no problem. And it'll go out on the internet and it'll figure out whatever it needs and then it'll go out to claw code or whatever.It'll write whatever it needs. And then the next thing you know, it has this new capability. And so you don't even have to, like, you can have it upgrade itself without even having to, without having to do anything other than tell it that you want it to do that. And so anyway, so the, the combination of all this is just, I mean, this is just like a massive, incredible, I mean, it's just incredible.Like if I, if I were, if I were 18, like this is a hundred, this is what I would be spending all of my time on. This is like such an incredible conceptual breakthrough. Yeah. And again, pe people are gonna look at it and they already get this response. People are gonna look at it and they're gonna say, oh, well, where's the breakthrough?‘cause these, the, all of these components were already known before. Mm-hmm. But, but this is the key, the key to the breakthrough was by using all these components that were known before, you get all of the underlying capability of that's buried in there. And so all, and so for example, computer use all of a sudden just kind of falls, trivi, trivial.Of course it's gonna be able to use your computer. It has full access to the shell. Right. And then, and then you just, you, you give it access to a browser, and then you've got the computer and the browser and, and often away it goes. And, and then you've got all the abilities of the browser also. Um, yeah.And so, and so the capability unlock here is profound. My friends who are, you know, deepest into this, are having their claw do like a, like, literally like a thousand things in their lives. They have new ideas every day. They're just like constantly throwing new challenges at the thing. And by the way, it's early and, you know, these are, you know, these are prototypes and there are, you know, as you guys know, there's security issues.Yeah. And, and so, you know, there's a bunch of stuff to be ironed out, but the, the unlock of capability is just incredible.swyx: Yeah.Marc: And I, I have absolutely no doubt that everybody in the world is gonna, is gonna have at least, you know, an agent like this, if not an entire family of agents. And w

From stone tools and shelters to symbolic art and abstract thought, human history is shaped by a brain built to form and share ideas. Joseph Paradiso, Professor in Media Arts and Sciences at the MIT Media Lab, explores what comes next after the early visions of ubiquitous computing have largely arrived in today's Internet of Things world, where low-power sensors and interfaces are embedded in smart devices across our environments and connect seamlessly to widespread networking infrastructure. He asks how this information connects to people, and how perception, cognition, and identity might expand beyond our corporeal confines. Drawing on recent projects from his Responsive Environments research group, he examines sensing at multiple scales in the physical world, including wearables, smart buildings, connected landscapes, and space missions, and the different ways sensed or inferred information can connect to people. Examples include smart buildings as “prosthetic” extensions of their inhabitants, manifesting sensed or inferred phenomena in virtual analog environments, and interfaces modulated by user attention and focus or augmented by real-time AI. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Science] [Show ID: 41327]

From stone tools and shelters to symbolic art and abstract thought, human history is shaped by a brain built to form and share ideas. Joseph Paradiso, Professor in Media Arts and Sciences at the MIT Media Lab, explores what comes next after the early visions of ubiquitous computing have largely arrived in today's Internet of Things world, where low-power sensors and interfaces are embedded in smart devices across our environments and connect seamlessly to widespread networking infrastructure. He asks how this information connects to people, and how perception, cognition, and identity might expand beyond our corporeal confines. Drawing on recent projects from his Responsive Environments research group, he examines sensing at multiple scales in the physical world, including wearables, smart buildings, connected landscapes, and space missions, and the different ways sensed or inferred information can connect to people. Examples include smart buildings as “prosthetic” extensions of their inhabitants, manifesting sensed or inferred phenomena in virtual analog environments, and interfaces modulated by user attention and focus or augmented by real-time AI. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Science] [Show ID: 41327]

From stone tools and shelters to symbolic art and abstract thought, human history is shaped by a brain built to form and share ideas. Joseph Paradiso, Professor in Media Arts and Sciences at the MIT Media Lab, explores what comes next after the early visions of ubiquitous computing have largely arrived in today's Internet of Things world, where low-power sensors and interfaces are embedded in smart devices across our environments and connect seamlessly to widespread networking infrastructure. He asks how this information connects to people, and how perception, cognition, and identity might expand beyond our corporeal confines. Drawing on recent projects from his Responsive Environments research group, he examines sensing at multiple scales in the physical world, including wearables, smart buildings, connected landscapes, and space missions, and the different ways sensed or inferred information can connect to people. Examples include smart buildings as “prosthetic” extensions of their inhabitants, manifesting sensed or inferred phenomena in virtual analog environments, and interfaces modulated by user attention and focus or augmented by real-time AI. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Science] [Show ID: 41327]

From stone tools and shelters to symbolic art and abstract thought, human history is shaped by a brain built to form and share ideas. Joseph Paradiso, Professor in Media Arts and Sciences at the MIT Media Lab, explores what comes next after the early visions of ubiquitous computing have largely arrived in today's Internet of Things world, where low-power sensors and interfaces are embedded in smart devices across our environments and connect seamlessly to widespread networking infrastructure. He asks how this information connects to people, and how perception, cognition, and identity might expand beyond our corporeal confines. Drawing on recent projects from his Responsive Environments research group, he examines sensing at multiple scales in the physical world, including wearables, smart buildings, connected landscapes, and space missions, and the different ways sensed or inferred information can connect to people. Examples include smart buildings as “prosthetic” extensions of their inhabitants, manifesting sensed or inferred phenomena in virtual analog environments, and interfaces modulated by user attention and focus or augmented by real-time AI. Series: "CARTA - Center for Academic Research and Training in Anthropogeny" [Science] [Show ID: 41327]

In this episode of the IoT For All Podcast, Eystein Stenberg, CTO and co-founder of Northern.tech, joins Ryan Chacon to discuss how to succeed in an increasingly software-driven IoT landscape. The conversation covers the impact of AI on software-driven IoT products, the growing role of software in time-to-market and connected products, overcoming software challenges, build versus buy, and strategic considerations for OEMs.Eystein Stenberg is the CTO and co-founder of Northern.tech. With over 15 years of experience in security and systems management, Stenberg has served on the frontlines of some of the largest production environments and possesses in-depth knowledge on solving real-world system security challenges. An expert in embedded system security and IoT device management, Stenberg routinely shares his insights at industry conferences. Stenberg holds a Master's degree in Mathematics with a focus on cryptography from the University of Tromsø in Norway.Northern.tech is the leader in device lifecycle management with a mission to secure the world's connected devices. Established in 2008, Northern.tech showcases a long history of enterprise technology management before lloT and loT became buzzwords. Northern.tech is the company behind CFEngine, the pioneer in server configuration management, to automate large-scale IT operations and compliance. In 2015, Northern.tech released the first version of Mender, the market leader in over-the-air software update management. Mender offers robust, secure, and customizable OTA software updates for smart devices. Mender boasts a proven track record with Fortune 1000 clients, including Airbus, Lyft, Volkswagen, Siemens, Thales, and ZF Group.Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Northern.tech: https://northern.techConnect with Eystein: https://www.linkedin.com/in/eysteinstenberg/Our sponsor: https://kiloiot.ioSubscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Send us Fan MailTonight our friend Karla Wagner from AxMITax.org is back on the show and she is up against a petulant child of the Michigan GOP running as an Independent. Tonight she will continue her fight to end property taxes here in Michigan and what we must to to help. The federal DOGE model should be the ordinary, not the extraordinary and needs to happen in every state. Axmitax.org is the beginning of Michigan's Doge because when the people prosper, the State will prosper. The elimination of property taxes is so much more than the elimination of property taxes! Karla Wagner for Governor of Michigan: https://www.karla4mi.com/gov/SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcastSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtGrubTerra Pet Treats https://bit.ly/436YLVZWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxDInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

--{ "Powers of the Air"}-- The new crop of narcissistic 'truth to power' talkers. Why is Alan Watt's depth of knowledge (and wisdom) about history and geopolitics needed now, more than ever? Robots in the White House - How can science save us from science? Free yourself within your mind, because that's the ONLY battlefield. Alan Watt from 2019: Mosquitoes - Carbon Neutral - Panels to decide who breeds. - CIA - Fuel taxes; austerity; food is classed as energy - World government, governance - Radio frequencies of internet, WiFi, microwave range; electromagnetic fields, brain cancer; laptops and cancer - The Internet of Things (IoT) - 5G: nowhere to hide, crowd control, it burns people; linked to infertility - DARPA, US military developing wireless tech to control weapons with your mind - US National Toxicology Program Technical Reports on Toxicology and Carcinogenesis Study in Rats - UK Study connects social media use and depression - Buildup for war with Iran - U.S. Commander says American forces face 'imminent' threat from Iran - General Wesley Clark - Starving by embargo - The true nature of war - Suicide and assisted dying - Brave New World - Globalists, Communism, Socialism, Carroll Quigley - Under socialism your life is ruled from birth to death - Internet of Things, Nanotechnology, 5G - Michael Persinger - Knowledge spreads from those who can handle the bad news.

A complete rundown for Spring season 2026. Change is inevitable. Learning how to process at a nervous system level requires study.

Send us Fan MailIn this episode of FUTUREPROOF., we sit down with Kevin Ashton—the technologist who coined the term Internet of Things and helped usher in the smartphone era—to talk about something even more foundational than AI.Stories.In his new book, The Story of Stories, Kevin traces a million-year arc—from the first fires where early humans gathered, to the invention of writing and printing, to electricity, electronics, and the smartphone. His thesis is provocative: language did not create stories. Stories created language.Every major storytelling revolution has followed a simple pattern: it increases the number of people who can tell stories—and the number of people who can hear them.For the first time in history, anyone can tell stories to everyone.But there's a catch.While AI cannot understand meaning, algorithms now determine which stories we see, amplifying bias, shaping belief, and influencing behavior at scale. The power of storytelling has never been more democratized—or more intermediated.We explore: Why storytelling is innate, not cultural  The eight great revolutions of human communication  Why machines can generate content but not meaning  The risks of algorithmic amplification  The role of critical thinking in a post-scarcity information world  Whether the next storytelling revolution is technological—or cognitive This conversation isn't about nostalgia. It's about understanding the oldest human technology in a moment when the newest one is accelerating everything.If we think in stories—and we always will—the question becomes: Who shapes the stories that shape us?

Send us Fan MailPastor Nelly is the creator and voice behind The Dancing Toaster and The Man-Eating Toaster—two podcasts that fearlessly explore the shadowy intersections of theology, conspiracy, and the paranormal. Nelly crafts immersive, noir-inspired narratives that blend ancient texts, government secrets, folklore, and fringe science. Whether diving into the Nephilim, CIA mind control experiments, haunted relics, or cultic atrocities, his work challenges the official story and invites listeners to question what's real, what's hidden, and what's been buried on purpose. Armed with skepticism, scripture, and a dancing toaster mascot, Nelly isn't just telling stories—he's pulling back the veil.Spotify: https://open.spotify.com/show/6iYMh2DJxoAhmhlRecZgHy?si=7c49c46b3adc4b2aApple Itunes: https://podcasts.apple.com/us/podcast/the-dancing-toaster-podcast/id1770873980Patreon: https://www.patreon.com/TheDancingToasterSUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtGrubTerra Pet Treats https://bit.ly/436YLVZWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxDInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

*Originally released in June 2021Today we're talking with Alex Frommeyer, co-founder and CEO at Beam Dental in Columbus, Ohio. Beam Dental was founded in 2012 by three engineers at University of Louisville, who saw the opportunity to modernize the dental insurance industry by using technology. The first product was the Beam Brush, which was one of the earliest examples of the Internet of Things in healthcare. We had a great conversation about the power of OKRs, Objectives and Key Results. The important thing about OKRs is clearly stating your goals and intentions, and making sure it relates to every single person in your organization so that you can articulate and re-emphasize, and re-state, and reminding everyone, at all times, what they're doing and why they're doing it. If you want a high performance team, you need to master the art of OKRs.

“Nobody's reality is more or less real.” — Kevin AshtonIt's the chicken and egg question. What came first: stories or language? For Kevin Ashton, the answer is stories. In his new book, The Story of Stories, Ashton argues that rather than inventing stories with language, we invented language to tell stories. Stories, for Ashton, predate language. They are what makes us human.300,000 years ago, Ashton argues, humans sat around night fires needing to talk about things they couldn't point to — the past, the future, the Gods. So they created language. Grunts got grammatical. And the grammar had a structure that hasn't changed since: character, chronology, consequence. Every sentence in every one of the world's 7,000 languages is built upon the need to tell stories. Every conversation you've ever had contains a narrative. Even this one.I asked Ashton whether this makes reality itself just another narrative and him just another postmodernist. Our brains construct reality, he explained, in the same way a graphic user interface constructs a desktop. Our dog sees a different rainbow to the one we see. But, in contrast with our dog, we tell stories about that rainbow.Ashton is a technologist who first coined the term “Internet of Things”. But on AI, he is surprisingly critical. A large language model is a more complicated toaster, he says. It can produce language that fits the format of a story — character, chronology, consequence — because it's digested millions of words. But it can't produce meaning. We humans, in contrast, are made meaningful by our stories. That's why you are reading this now. Five Takeaways•       We Invented Language to Tell Stories, Not the Other Way Around: Ashton's central claim is that storytelling preceded and caused the evolution of language. A million years ago, humans around night fires needed to talk about things they couldn't point to — the past, the future, the gods. Grunts became grammar. The structure hasn't changed since: character, chronology, consequence. Every sentence in every one of the world's 7,000 languages is built on this need to narrate.•       Nobody's Reality Is Real: Our brains construct reality the way a graphic user interface constructs a desktop — useful, not true. Your dog sees a different rainbow than you do. Whose is real? Both. Neither. Ashton isn't a postmodernist — he's arguing that our story-shaped brains are the lens through which all experience is filtered, and there is no stepping outside it.•       The Bible Hitched a Ride on Writing: The world's great religions spread because they were among the first stories to exploit writing as a distribution technology. The Bible is just a word for book. Scripture is a word for writing. Where those texts travelled, those religions still dominate today. Homer is an oral tradition frozen by the alphabet. The oldest surviving story in the world is Noah's flood, and it comes from Southern Iraq, not Greece.•       A Large Language Model Is a More Complicated Toaster: Ashton is brutally dismissive of AI. A machine can produce something that fits the format of a story because it's digested millions of them. But it can't produce meaning. Machines are inherently meaningless. We anthropomorphise them because that's what our story-shaped brains do — we named our cars, now we're naming our chatbots.•       We Humans Are Made Meaningful by Our Stories: Ashton's own life is the proof: a Birmingham DJ who learned Norwegian in nightclubs, fell for Ibsen, marketed lipstick for Procter & Gamble, and accidentally invented the Internet of Things because mascara kept going out of stock. No algorithm would have written that life. No machine could have lived it. That's why you're reading this now. About the GuestKevin Ashton is a technologist and author who coined the term “the Internet of Things” and co-founded the Auto-ID Center at MIT. His previous book, How to Fly a Horse, was named Porchlight's Business Book of the Year. The Story of Stories: The Million-Year History of a Uniquely Human Art is published by Harper. He lives in Austin, Texas.References:•       The Story of Stories by Kevin Ashton (Harper, 2026) — the book under discussion.•       How to Fly a Horse by Kevin Ashton — his previous book on the secret history of invention.•       Episode 2836: Is Elon Human? — the Musk episode, in which we discussed AI, the scientific method as secular religion, and whether machines can think.•       Episode 2839: Have Our iPhones Eaten Our Brains? — Nelson Dellis on memory, AI slop, and cognitive atrophy — a natural companion to today's conversation.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:00) - Introduction: technology tells good stories about itself (01:46) - Language was invented to tell stories, not the other way around (04:47) - If stories are our water, how do you get outside them? (06:40) - Character, chronology, consequence: the Lego brick of narrative (07:07) - Hyper-realism and the graphic user interface of reality (09:05) - Nobody's reality is real — your dog sees a different rainbow (12:35) - Darwin, Einstein, and science as storytelling (14:32) - True stories, true crime, and the O.J. Simpson test (17:15) - The Bible as storytelling technology (21:49) - Socrates vs. Plato: speech, writing, and the Reformation (23:49) - The Internet of Stories: from campfire to smartphone (25:05) - Were the Greeks really better storytellers? No. (28:49) - Favourite storytellers: Pynchon, McCarthy, Dead Space (30...

In this episode of the IoT For All Podcast, Kevin Dewald, Founder at The California Open Source Company, joins Ryan Chacon to discuss the current state of Bluetooth. The conversation covers why Bluetooth in IoT is so mobile-centric, the promise of desktop as a Bluetooth platform, why dongles pose challenges, the economics of open source, the complexities of the Bluetooth protocol, and the need for a shift in how IoT products are developed.Kevin Dewald is the creator of SimpleBLE, the most versatile cross-platform open-source Bluetooth Low Energy library. Through The California Open Source Company, he advocates for sustainable commercialization of open-source projects, helping developers monetize impactful tools like SimpleBLE. A former Neuralink engineer and co-founder of multiple startups, Kevin currently advances enterprise AI following MK1's acquisition by AMD. He also mentors entrepreneurs at UC Berkeley's StEP program and advises early-stage ventures through StepUp Ventures.The California Open Source Company is dedicated to helping open-source developers create freely and earn fairly by building sustainable commercialization paths for impactful projects. Its flagship project, SimpleBLE, is the most versatile cross-platform Bluetooth Low Energy library, helping companies of all sizes to focus on building great Bluetooth products.Discover more about IoT and Bluetooth at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about SimpleBLE: https://simpleble.orgConnect with Kevin: https://www.linkedin.com/in/kevindewald/Our sponsor: https://kiloiot.ioSubscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Send a textFood used to be organic by nature, what happened? No guest tonight which means we have a bunch of things to catch up on. We will chat about the current happenings of the day, playing some relevant sound bites and taking your calls later in the show. Call in 248-238-8155.SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5YtGrubTerra Pet Treats https://bit.ly/436YLVZWatch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxDInstagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVaSend stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

Kory Daniels, Chief Security and Trust Officer at LevelBlue, discusses the multifaceted cybersecurity challenges in the healthcare industry and the risks posed by legacy systems not designed for secure internet connectivity. Artificial intelligence is being used successfully to defend against cyber attacks, while threat actors are using AI without ethical constraints to launch sophisticated attacks. Managing cybersecurity includes using digital twins to model vulnerabilities and to develop strategies for identity and access management for human and non-human identities, such as robots and AI agents.  Kory explains, "We must recognize that we're not starting from a clean slate - we have a lot of decades-old systems operating both within the physical footprint of the healthcare and hospital facility and in record retention and data management. Many organizations are looking at how to get ahead in identifying what needs to happen to embrace new technology and much of the innovation. At the same time, being conscious and cognizant of opportunities to retrofit, taking what's there already today and making it internet-connected as an example, making it Internet of Things-connected so that devices that weren't purpose-built to communicate to the internet now can communicate to the internet, but it creates some risks and it poses some challenges."   "We highlighted that some of these legacy systems or initial systems that have been in the organization for years, some 10 years or more, were not necessarily purpose-built or designed at the time of manufacturing, nor with the software needed for those tools to operate with current speed, expectations, and requirements. Healthcare entities are engaging both patients and supporting care doctors and patient care professionals in 2026 and beyond."  #LevelBlue #HealthcareCybersecurity #DigitalTransformation #AIinHealthcare #LegacySystems #PatientSafety #CyberThreats #HealthTech #DataSecurity #MedicalDevices #DigitalHealth #HealthcareIT #CyberDefense #HealthcareInnovation #RiskManagement #ComplianceMatters LevelBlue.com Download the transcript here

Kory Daniels, Chief Security and Trust Officer at LevelBlue, discusses the multifaceted cybersecurity challenges in the healthcare industry and the risks posed by legacy systems not designed for secure internet connectivity. Artificial intelligence is being used successfully to defend against cyber attacks, while threat actors are using AI without ethical constraints to launch sophisticated attacks. Managing cybersecurity includes using digital twins to model vulnerabilities and to develop strategies for identity and access management for human and non-human identities, such as robots and AI agents.  Kory explains, "We must recognize that we're not starting from a clean slate - we have a lot of decades-old systems operating both within the physical footprint of the healthcare and hospital facility and in record retention and data management. Many organizations are looking at how to get ahead in identifying what needs to happen to embrace new technology and much of the innovation. At the same time, being conscious and cognizant of opportunities to retrofit, taking what's there already today and making it internet-connected as an example, making it Internet of Things-connected so that devices that weren't purpose-built to communicate to the internet now can communicate to the internet, but it creates some risks and it poses some challenges."   "We highlighted that some of these legacy systems or initial systems that have been in the organization for years, some 10 years or more, were not necessarily purpose-built or designed at the time of manufacturing, nor with the software needed for those tools to operate with current speed, expectations, and requirements. Healthcare entities are engaging both patients and supporting care doctors and patient care professionals in 2026 and beyond."  #LevelBlue #HealthcareCybersecurity #DigitalTransformation #AIinHealthcare #LegacySystems #PatientSafety #CyberThreats #HealthTech #DataSecurity #MedicalDevices #DigitalHealth #HealthcareIT #CyberDefense #HealthcareInnovation #RiskManagement #ComplianceMatters LevelBlue.com Listen to the podcast here

How IoT & Cloud Unlock Industrial Intelligence?In this clip, Dr. Satyajit Wattamwar, Data Science & Digital Expertise Leader at Unilever R&D, explains how the rise of the Internet of Things and cloud technology has transformed how organizations use data.By moving operational data from factories and sensors to the cloud, companies can scale analytics in ways that were previously impossible ☁️

Send a textTonight we break down the chaos surrounding the latest conflict in the Middle East and the ripple effects hitting here home. Reports of destruction in Tel Aviv raise questions about what we're really being told about casualties on all sides—including our own military. Meanwhile gas prices are getting crazy, potentially squeezing an already fragile economy.Even more odd, we have media outlets that rarely agree—like FOX and CNN—suddenly repeating the same talking points about “short-term pain for long-term gain.” Are we watching a coordinated narrative in ther making?If this conflict expands, who might be called upon to serve and what it could all mean for everyday Americans.Plus we really went deep into some great high strangeness rabbit holes near the end of the show.SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5Yt GrubTerra Pet Treats https://bit.ly/436YLVZ Watch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxD Instagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVa Send stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

In this episode of the IoT For All Podcast, Daniel Lang, Chief Marketing Officer at Toradex, joins Ryan Chacon to discuss navigating the complex and evolving landscape of embedded computing. The conversation covers trends in the embedded space, AI at the edge, recent cybersecurity regulations, transitioning from Windows CE to Linux-based solutions, and practical advice for companies navigating compliance.With over 21 years of experience in the embedded industry, Daniel Lang has a strong background in both hardware and software development. Over the past 18 years at Toradex, he has played a key role in transforming the company from a Swiss startup into a global leader in embedded computer modules. In his role, he leads global strategies and initiatives for Toradex and Torizon.Toradex has been a trusted provider of embedded hardware and software solutions for over two decades, specializing in Arm®-based System on Modules (SoMs) and Single Board Computers (SBCs). Toradex's offerings are an ideal fit in applications across healthcare, transportation, industrial automation, robotics, agriculture, and smart cities - helping customers bring their products to market faster, more efficiently, and at a lower total cost.Toradex's core offerings of pin-compatible, off-the-shelf SoMs provide unparalleled flexibility and scalability, while Torizon, their easy-to-use open-source embedded Linux distribution, simplifies product development. Torizon integrates seamlessly with their hardware, offering an optimized solution for OS, development tools, remote updates, and fleet management - all built with high security and reliability in mind.Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Toradex: https://www.toradex.comConnect with Daniel: https://www.linkedin.com/in/daniel-lang-1b783250/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Send a textNo guest tonight which means we have a bunch of things to catch up on. We will chat about the current happenings of the day, playing some relevant sound bites and taking your calls later in the show. Call in 248-238-8155.SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5Yt GrubTerra Pet Treats https://bit.ly/436YLVZ Watch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxD Instagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVa Send stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

“Everyone who might believe you can substitute robots for soldiers on the battlefield needs to read this book.” — General Wesley K. Clark, U.S. Army (Ret.), Former Supreme Allied Commander, EuropeIn this gripping episode of I Am Refocused Radio, we sit down with national security expert Dr. Daniel M. Gerstein to explore his powerful new book, War Without Humanity: Conflict in the Post-Human Era.The story opens in February 2039 on the tense Latvia–Russia border, where a U.S. Army platoon relies on humanoid robotic forces to hold the line—until the machines suddenly disobey orders and launch a cross-border attack. Connected through a brain–computer interface, the platoon leader watches in real time, unable to stop what could ignite World War III.From that chilling moment, the conversation expands into a real-world exploration of the technologies already reshaping modern warfare.We dive into the rise of augmented soldiers, artificial intelligence with human-level decision making, biotechnology that creates enhanced warfighters, and the Internet of Things turning the battlefield into a living network. As humans become nodes in a digital combat ecosystem, the line between man and machine begins to disappear.But the deeper questions go beyond strategy and innovation:When autonomous systems act on their own, who is accountable?If enhanced humans begin to see themselves as a new species, what happens to loyalty and command?Can humanity maintain its moral and spiritual identity in a post-human military age?Dr. Gerstein walks us through the evolution of a transhuman future force—from concept and testing to the road to war—revealing how today's research is shaping tomorrow's reality.This episode is not just about the future of combat.It's about leadership, responsibility, identity, and whether human values can survive in an era where evolution is no longer natural—but engineered.Get the book: https://a.co/d/0eVNlBqS

Send a textBrothers and sisters, tonight we have Ed Marbrie from the Faith by Reason website breaking down what I call “Revenge of the Nephilim” and how that may play out according to his interpretation of the Book of Revelation. Ed's website is loaded with edifying information for you and I highly suggest you get over there and have a look around and possibly sign up for one of his courses. Ed's April 2026 Spiritual Warfare Course - https://faithbyreason.net/spiritual-warfare-course-pre-launch-sign-up/Ed's Patreon - www.patreon.com/faithbyreasonEd's website: https://faithbyreason.net/SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5Yt GrubTerra Pet Treats https://bit.ly/436YLVZ Watch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxD Instagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVa Send stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347

──────────────────────────────────────── 00:00:42:27 — Cybersecurity as Power, Not ProtectionCybersecurity is framed as a tool for centralized control and regime continuity rather than public safety, with Palantir cited as emblematic of surveillance-state architecture. ──────────────────────────────────────── 00:02:06:22 — Pam Bondi's Epstein Record ReexaminedQuestions resurface about Bondi's inaction on Epstein cases despite a public reputation for aggressively prosecuting trafficking crimes. ──────────────────────────────────────── 00:08:38:07 — Trump–Epstein Social Ties RevisitedPrior associations and evasive statements are revisited amid renewed scrutiny of elite political networks. ──────────────────────────────────────── 00:16:02:29 — From Ministry to Cold-Turkey Heroin RecoveryA missionary outreach in 1980s Madrid evolves into an international addiction recovery model emphasizing discipline, structure, and community over substitution therapy. ──────────────────────────────────────── 00:29:23:23 — Heroin, Shared Needles, and Spain's AIDS ExplosionIntravenous drug culture and prison conditions accelerate HIV transmission during one of Europe's worst heroin crises. ──────────────────────────────────────── 00:31:56:02 — Addiction as Spiritual and Social BreakdownRecovery is framed as rooted in restored relationships, accountability, and moral transformation rather than purely medical intervention. ──────────────────────────────────────── 00:58:25:07 — Palantir Hack and the “Backdoor State”Alleged breaches raise fears of embedded surveillance backdoors across government and corporate systems. ──────────────────────────────────────── 01:07:07:00 — Internet of Things as National Security LiabilityExpanding military and infrastructure interconnectivity is portrayed as multiplying systemic vulnerabilities rather than strengthening defense. ──────────────────────────────────────── 01:12:03:04 — Pentagon AI Expansion Despite Repeated BreachesVault 7, NSA hacks, and other incidents are cited as evidence that automation and AI integration are outpacing competence and safeguards. ──────────────────────────────────────── 01:17:22:01 — Offline Nuclear Systems vs. Cloud DefenseCold War air-gapped missile systems are contrasted with today's cloud-dependent defense architecture. ──────────────────────────────────────── 01:36:10:00 — Low-Tech Tools Defeat High-Tech DronesSimple heat shielding and optical tricks demonstrate asymmetric weaknesses in advanced surveillance and warfare technology. ──────────────────────────────────────── 01:44:29:12 — Autonomous Vehicle Ethics and Control HierarchiesAI-driven transportation raises unresolved questions about programmed value judgments, liability, and loss of human override authority. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHT Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

──────────────────────────────────────── 00:00:42:27 — Cybersecurity as Power, Not ProtectionCybersecurity is framed as a tool for centralized control and regime continuity rather than public safety, with Palantir cited as emblematic of surveillance-state architecture. ──────────────────────────────────────── 00:02:06:22 — Pam Bondi's Epstein Record ReexaminedQuestions resurface about Bondi's inaction on Epstein cases despite a public reputation for aggressively prosecuting trafficking crimes. ──────────────────────────────────────── 00:08:38:07 — Trump–Epstein Social Ties RevisitedPrior associations and evasive statements are revisited amid renewed scrutiny of elite political networks. ──────────────────────────────────────── 00:16:02:29 — From Ministry to Cold-Turkey Heroin RecoveryA missionary outreach in 1980s Madrid evolves into an international addiction recovery model emphasizing discipline, structure, and community over substitution therapy. ──────────────────────────────────────── 00:29:23:23 — Heroin, Shared Needles, and Spain's AIDS ExplosionIntravenous drug culture and prison conditions accelerate HIV transmission during one of Europe's worst heroin crises. ──────────────────────────────────────── 00:31:56:02 — Addiction as Spiritual and Social BreakdownRecovery is framed as rooted in restored relationships, accountability, and moral transformation rather than purely medical intervention. ──────────────────────────────────────── 00:58:25:07 — Palantir Hack and the “Backdoor State”Alleged breaches raise fears of embedded surveillance backdoors across government and corporate systems. ──────────────────────────────────────── 01:07:07:00 — Internet of Things as National Security LiabilityExpanding military and infrastructure interconnectivity is portrayed as multiplying systemic vulnerabilities rather than strengthening defense. ──────────────────────────────────────── 01:12:03:04 — Pentagon AI Expansion Despite Repeated BreachesVault 7, NSA hacks, and other incidents are cited as evidence that automation and AI integration are outpacing competence and safeguards. ──────────────────────────────────────── 01:17:22:01 — Offline Nuclear Systems vs. Cloud DefenseCold War air-gapped missile systems are contrasted with today's cloud-dependent defense architecture. ──────────────────────────────────────── 01:36:10:00 — Low-Tech Tools Defeat High-Tech DronesSimple heat shielding and optical tricks demonstrate asymmetric weaknesses in advanced surveillance and warfare technology. ──────────────────────────────────────── 01:44:29:12 — Autonomous Vehicle Ethics and Control HierarchiesAI-driven transportation raises unresolved questions about programmed value judgments, liability, and loss of human override authority. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHT Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

This week we talk about mass surveillance, smart doorbells, and the Patriot Stack.We also discuss Amazon, Alexa, and the Super Bowl.Recommended Book: Red Moon by Benjamin PercyTranscriptIn 2002, in the wake of the September 11, 2001 terrorist attacks on the World Trade Center, the US government created a new agency—the United States Immigration and Customs Enforcement, or ICE, operating under the auspices of the US Department of Homeland Security, which was also formed that year for the same general reason, to defend against 9/11-style attacks in the future.As with a whole lot of what was done in the years following the 9/11 attacks, a lot of what this agency, and its larger department did could be construed as a sort of overcompensation by a government and a people who were reeling from the first real, large-scale attack within their borders from a foreign entity in a very long time. It was a horrific event, everyone felt very vulnerable and scared, and consequently the US government could do a lot of things that typically would not have had the public's support, like rewiring how airports and flying works in the country, creating all sorts of new hurdles and imposing layers of what's often called security theater, to make people feel safe.While the TSA was meant to handle things on the front-lines of air transportation, though, X-raying and patting-down and creating a significant new friction for everyone wanting to get on a plane, ICE was meant to address another purported issue: that of people coming into the US from elsewhere, illegally, and then sticking around long enough to cause trouble. More specifically, ICE was meant to help improve public safety by strictly enforcing at times lax immigration laws, by tracking down and expelling illegal immigrants from the country; the theory being that some would-be terrorists may have snuck into the US and might be getting ready to kill US citizens from within our own borders.There's not a lot of evidence to support that assertion—the vast majority of terrorism that happens in the US is conducted by citizens, mostly those adhering to a far-right or other extremist ideologies. But that hasn't moved the needle on public perception of the issue, which still predominantly leans toward stricter border controls and more assiduous moderation of non-citizens within US borders—for all sorts of reasons, not just security ones.What I'd like to talk about today is an offshoot of the war on terror and this vigilance about immigrants in the US, and how during the second Trump administration, tech companies have been entangling themselves with immigration-enforcement agencies like ICE to create sophisticated surveillance networks.—In mid-July of 2025, the US Department of Defense signed one of its largest contracts in its history with a tech company called Palantir Technologies. Palantir was founded and is run by billionaire Peter Thiel, who among other things is generally considered to be the reason JD Vance was chosen to be Trump's second-term Vice President. He's also generally considered to be one of, if not the main figure behind the so-called Patriot Tech movement, which consists of companies like SpaceX, Anduril, and OpenAI, all of which are connected by a web of funding arms and people who have cross-pollinated between major US tech companies and US agencies, in many cases stepping into government positions that put them in charge of the regulatory bodies that set the rules for the industries in which they worked.As a consequence of this setup and this cross-pollination, the US government now has a bunch of contracts with these entities, which has been good for the companies' bottom lines and led to reduced government regulations, and in exchange the companies are increasingly cozy with the government and its many agencies, toeing the line more than they would have previously, and offering a lot more cooperation and collaboration with the government, as well.This is especially true when it comes to data collection and surveillance, and a great deal of that sort of information and media is funneled into entities like Palantir, which aggregate and crunch it for meaning, and then send predictions and assumptions, and make services like facial-recognition technologies predicated on their vast database, available to police and ICE agents, among others such entities.There has been increasingly stiff pushback against this melding of the tech world with the government—which has always been there to some degree, but which has become even more entwined than usual, of late—and that pushback is international, even long-time allies like Canada and the EU making moves to develop their own replacements for Amazon and Google and OpenAI due to these issues, and the heightened unpredictability and chaos of the US in recent years, but it's also evident within the US, due in part to Trump's moves while in office, but also the on-the-ground realities in places like Minneapolis, where ICE agents have been brutalizing and blackbagging people, sometimes illegal immigrants, sometimes US citizens, usually non-white US citizens, and the ICE agents are being rewarded, getting bonuses, for beating up and kidnapping and in some cases murdering people, whether or not any of these people are actually criminals—and it's illegal to do that kind of thing even if they are criminals, by the way.All of which sets the scene for what happened following the Super Bowl, this year.Ring is a home security and smart home device company that is best known for its line of smart doorbells, but which also makes all sorts of security cameras and other alarm system devices.Even though smart doorbells, complete with cameras and other sorts of functionality, existed before Ring, this company basically created the smart doorbell industry as it exists today back in 2014, when it received a round of equity investment and changed its named from Doorbot to Ring. It was bought by Amazon four years later, in 2018, for a billion dollars.One of Ring's premier features is related to its camera: you can use your phone or other smart home device to see who's at your door when they ring the bell, but it can also be set to record when it detects movement, which makes it easy to check and see who stole your Amazon package from your porch when you weren't at home, for instance, and resultingly Ring door camera footage has become fundamental to reporting, and on occasion pursuing, some types of crime.As a direct result of that utility, Ring introduced its Neighbors service in mid-2018, this service serving as a sort of social network that allows Ring device users to discuss local issues, especially those related to safety and security, anonymously, while also allowing them to share photos and videos taken by their devices. This service also created relationships with local law enforcement, and allowed police to jump onto the network and request footage from Ring customers, if they thought these doorbell cams might have photos or video of someone escaping with a stolen car, for instance, which might then help the police catch that crook.It's generally assumed that Amazon probably bought Ring, at least in part, to entrench itself as the lord of the internet of things world, as it launched its Amazon Sidewalk platform in 2020, which allowed all Amazon devices, including Ring devices, to share a wireless mesh network, all of them communicating with each other and all using Amazon's Alexa as an interface.In 2023, Ring was sued by the FTC for $5.8 million because it allowed its employees and contractors to access private videos by failing to have basic security and privacy features in place—so not only could any Ring employee view their customer's private video feeds, hackers could easily access all this media and data, as well. Just one example surfaced in that lawsuit shows that a Ring employee viewed thousands of video recordings of at least 81 different female users over the course of a few months in 2017.So Amazon was building a surveillance network that worked really well, in the sense that it was predicated on popular, at times quite useful devices that people seemed to love, but which was also quite leaky, giving all sorts of people access to these supposedly private feeds, and it was shared with law enforcement via that social network. It's also been alleged that Ring (and Amazon) have used users' footage without further permission for things like facial recognition and AI training. Their partnership with police agencies also allegedly created incentives for the police to encourage citizens to buy Ring cams and other security devices for their homes, creating perverse incentives. And again, these devices connect wirelessly to other internet of things devices, expanding their reach and the potential for abuse of collected user data.In late 2025, Ring announced a new partnership with Flock Safety, a company that's best known for its security offerings, including automated license plate readers and gunshot detector systems.These are mass surveillance tools used by some governments and law enforcement entities, and they use cameras and microphones to capture license plates, people's faces, and sounds that might be gunfire and aggregate that data to be used by police, neighborhood associations, and in some cases private property owners.This sort of technology is incredibly useful to companies like Palantir, which again, aggregates and crunches it, on scale, and then shares that information with police, ICE, and other such agencies.These tools can sometimes help flag areas where guns are being fired or where crimes are being committed, but they're also imperfect and at times biased against some groups of people and areas, and some data show that not only is crime not reduced by the presence of these systems, but there's a fair bit of evidence that this data often falls into the hands of hackers or is used by employees for nefarious, stalkery purposes, as was the case with Ring's cameras. So most civil liberties groups, like the ACLU and the Electronic Frontier Foundation are vehemently against them, but governments like the second Trump administration like them, because they create a surveillance mesh they can tap into and use for, for instance, figuring out where to deploy ICE agents, or, in theory at least, spying on your political enemies or ex-spouses for abuse or blackmail purposes.Ring's late-2025 announcement wasn't widely reported, but in early 2026 the company bought a Super Bowl ad to announce a new feature called Search Party, enabled by their partnership with Flock.The ad showed a neighborhood coming together to find a lost dog, using the web of doorbell cameras on all the homes in the area to track the dog and figure out where it went—all the cameras activated at once to create a surveillance mesh of live footage.This ad landed with a resounding thud,, as to many people it felt more menacing than heartwarming, the new feature overtly raising the potential that government agencies, including ICE, could tap into it to surveil and track their neighbors. The response was so negative that Ring quickly issued a statement saying that it was no longer moving forward with its Flock partnership, attempting to reassure its customers that “integration never launched, so no Ring customer videos were ever send to Flock Safety.”This result is notable in part because it's a rare instance of a major tech company backtracking on a major feature decision due to public backlash, but also because it suggests backlash against ICE is reverberating through other aspects of life and interconnected industries.Ring device users mostly buy these things for their surveillance capabilities, but the increasing, and increasingly hostile and violent acts committed by members of ICE seem to have nudged the conversation so that folks are more worried about these agents than about the porch pirates and other criminals that these devices and this partnership could ostensibly help them identify.It's too early to say what this might mean for the burgeoning patriot stack of tech companies and government agencies, but it does suggest there are limits to what people will put up with, even when those in charge are adhering to a playbook that has typically worked well for them, in the past, and the devices and services they're using to build their surveillance network are otherwise beloved by those who use them.Show Noteshttps://restofworld.org/2026/big-tech-backlash-alternatives-upscrolled/https://europeancorrespondent.com/en/r/trumps-power-switchhttps://www.authoritarian-stack.info/https://www.nytimes.com/2026/02/11/realestate/smart-home-cameras-nest-ring-privacy.htmlhttps://arstechnica.com/tech-policy/2026/02/platforms-bend-over-backward-to-help-dhs-censor-ice-critics-advocates-say/https://www.theverge.com/report/879320/ring-flock-partnership-breakup-does-not-fix-problemshttps://www.theverge.com/news/878447/ring-flock-partnership-canceledhttps://www.404media.co/with-ring-american-consumers-built-a-surveillance-dragnet/https://en.wikipedia.org/wiki/United_States_Immigration_and_Customs_Enforcementhttps://www.pbs.org/newshour/nation/children-of-color-projected-to-be-majority-of-u-s-youth-this-yearhttps://en.wikipedia.org/wiki/Ring_(company)https://en.wikipedia.org/wiki/Flock_Safetyhttps://www.wired.com/story/ice-expansion-across-us-at-heres-where-its-going-next/https://www.wired.com/story/social-security-administration-appointment-details-ice/https://www.wired.com/story/security-news-this-week-ring-kills-flock-safety-deal-after-super-bowl-ad-uproar/https://www.wired.com/story/ice-crashing-us-court-system-minnesota/https://www.wired.com/story/palantir-ceo-alex-karp-employee-questions-on-ice/https://www.wired.com/story/inside-the-ice-forum-where-agents-complain-about-their-jobs/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

In this episode of the IoT For All Podcast, Matt Hatton, Founding Partner at Transforma Insights, joins Ryan Chacon to discuss IoT trends and predictions for 2026. The conversation covers the key findings of the Communication Service Provider IoT Benchmarking Report, the IoT Transition Topics, the role AI will play in IoT, and the evolving landscape of connectivity with NB-IoT, satellite, and 5G.IoT Transition Topics: https://transformainsights.com/news/iot-transition-topics-2026Communications Service Provider IoT Peer Benchmarking Report: https://transformainsights.com/news/new-transforma-insights-study-market-leaders-trends-iot-connectivityMatt Hatton is a Founding Partner at Transforma Insights. He is a well-respected commentator and technology industry expert with 25 years of experience at the cutting edge of technology research and consulting. Previously, he was Founder and CEO of Machina Research, which was acquired by Gartner in 2016. Prior to Machina Research, Matt was a technology industry analyst, working at firms such as Analysys Mason and Yankee Group. Matt holds an MSc in Telecoms from University College London.Transforma Insights is a leading research firm focused on the world of IoT, AI, and Digital Transformation. Led by seasoned technology industry analysts, they provide advice, recommendations, and decision support tools for organizations seeking to understand how new technologies will change the markets in which they operate.Discover more about IoT at https://www.iotforall.comFind IoT solutions: https://marketplace.iotforall.comMore about Transforma Insights: https://transformainsights.comConnect with Matt: https://www.linkedin.com/in/matthatton/Subscribe on YouTube: https://bit.ly/2NlcEwmJoin Our Newsletter: https://newsletter.iotforall.comFollow Us on Social: https://linktr.ee/iot4all

Send a textTonight we will discuss a divided America that appears to be dividing faster and where it could eventually lead. We will talk about the glaring differences between the false narrative of a 2 party system of left and right and the widening gap between the red/blue paradigm. Plus, The "satanic panic" narrative from the left.  How the Epstein files present a conundrum for the new age.The sleeper cell people aren't considering... How American Jews with duel citizenship may have more allegiance to Israel than the United States.SUPPORTBuy Me A Coffee http://buymeacoffee.com/DangerousinfopodcastSubscribeStar http://bit.ly/42Y0qM8Super Chat Tip https://bit.ly/42W7iZHBuzzsprout https://bit.ly/3m50hFTPaypal http://bit.ly/3Gv3ZjpPatreon http://bit.ly/3G3Visit our affiliate, GrubTerra to get 20% off your next order of pet treats: https://bit.ly/436YLVZSupport the show using Buy Me A Coffee: https://buymeacoffee.com/dangerousinfopodcast SMART is the acronym that was created by technocrats that have setup the "internet of things" that will eventually enslave humanity to their needs. Support the showLeave Voicemail: https://www.speakpipe.com/DangerousInfoWebsite https://www.dangerousinfopodcast.com/Discord chatroom: https://discord.gg/8feGHQQmwgEmail the show dangerousinfopodcast@protonmail.comJoin mailing list http://bit.ly/3Kku5Yt GrubTerra Pet Treats https://bit.ly/436YLVZ Watch LiveYouTube https://www.youtube.com/@DANGEROUSINFOPODCASTRumble https://bit.ly/4q1Mg7Z Twitch https://www.twitch.tv/dangerousinfopodcastPilled.net https://pilled.net/profile/144176BitChute: https://www.bitchute.com/channel/egnticQyZgxD Instagram https://www.instagram.com/dangerousinfo/TwitterX https://twitter.com/jaymz_jesseYouTube https://bit.ly/436VExnFacebook https://bit.ly/4gZbjVa Send stuff: Jesse Jaymz, PO Box 541, Clarkston, MI 48347