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All 80s upbeat energy - mostly classic tracks from about '85-'89-ish +/- a few years. Get yer spandex n headbands pleez! din daa daa - george kranz love house - samantha fox i like you - phyllis nelson dancing in the sheets - shalamar out of time - noel be mine tonight - promise circle opportunities, let's make lots of money - pet shop boys bizarre love triangle - new order sonic boom boy - westworld dont you love me - the 49ers i want you - shana like a virgin - madonna (remix) nail it to the wall - stacy lattisaw the glamorous life - sheila E serious - donna allen walk right now - the jacksons its automatic - freestyle get up, get down, get funky, get loose - chilla ft teddy p dont you feel my love - quasi rhythm its like that - run dmc - j nevins mix egypt egypt - egyptian lover computer age, push the button - newcleus
En nuestro episodio 515 conversamos con Ricardo Sunderland, Partner de Egon Zehnder, Coach transformacional para directores ejecutivos y autor del libro The Energy Advantage sobre: + Encontrar la suficiencia. + Pertenecer a través del logro. + La espiritualidad en el trabajo. + El liderazgo de hoy exige ser y sentir. + Encontrar tu propia intuición. + El rol de RR.HH para humanizar las compañías. + La esperanza en la humanidad. + Ser despedido por su papá. + Tener un crecimiento de carrera acelerado. __________________________________________________________________________
TGIF - multiple happy hours - 80s Alternative Club...and some 90s too*tracklist added safety dance (remake) - trans x cruel summer - bananarama human behaviour - Björk heart be still - deee-lite state farm - yazoo Sensoria - Cabaret Voltaire dont you forget about me - simple minds living in a box - living in a box she drives me crazy - fyc say no go - de la soul i cant go for that - hall & oats tarzan boy - baltimora i want candy - bow wow wow thieves like us - new order running up that hill - kate bush i've been thinking about you - london beat living on the ceiling - blancmange groovy train - the farm young guns go for it - wham hollywood blvd - big audio dynamite strangelove - depeche (promo mix) in a big country - big country i love you - yello shari vari - a number of names what happens tomorrow - duran duran (rauhofer mix) 80s band at least lets go to bed - the cure live your life in one day - howard jones
Level Up Your Leadership! Level Up Your Life with Dr. Lepora!
¿Qué separa a un líder de RR. HH. transaccional de un CHRO verdaderamente transformacional?En este poderoso episodio, NextGen People y la estratega ejecutiva de liderazgo Dr. Lepora Flournoy revelan los 7 hábitos que elevan a los Chief Human Resources Officers, Chief People Officers y líderes senior de Recursos Humanos de simples gestores operativos a auténticas potencias estratégicas en la sala de juntas.Esta no es otra conversación sobre políticas, procesos administrativos o gestión tradicional de RR. HH. Este episodio trata sobre influencia empresarial, valentía ejecutiva, transformación organizacional, estrategia de liderazgo y la evolución del liderazgo de personas en un mundo impulsado por la inteligencia artificial.Ya seas CHRO, Head of People, HR Business Partner, ejecutivo de talento, líder de desarrollo organizacional, CEO, fundador o un ejecutivo emergente, este episodio ofrece una hoja de ruta práctica y estratégica para liderar organizaciones con impacto, influencia y resultados medibles.A lo largo de esta conversación, la Dra. Flournoy desafía a los líderes a dejar de pensar como administradores de políticas y comenzar a pensar como arquitectos empresariales. Las organizaciones que prosperarán en el futuro no serán simplemente aquellas con la mejor tecnología o sistemas, sino aquellas cuyos líderes sepan alinear la estrategia de personas con la estrategia del negocio en un mercado en constante evolución.En este episodio descubrirás por qué el liderazgo moderno de RR. HH. requiere mucho más que experiencia en relaciones laborales o cumplimiento normativo. Los líderes ejecutivos actuales deben comprender ingresos, productividad, riesgo organizacional, pipelines de talento, sucesión ejecutiva, transformación laboral, diseño cultural, influencia ejecutiva y gestión del cambio al más alto nivel.La Dra. Flournoy explica por qué uno de los mayores errores de los líderes de RR. HH. es liderar desde las políticas en lugar de liderar desde los resultados de negocio. Los equipos ejecutivos no están buscando más manuales ni documentación adicional; buscan soluciones que mejoren la productividad, aceleren el crecimiento, reduzcan riesgos, fortalezcan el liderazgo y aumenten el desempeño organizacional.Aprenderás cómo los líderes de personas de alto nivel estructuran sus conversaciones utilizando el lenguaje del negocio. En lugar de enfocarse únicamente en programas de capacitación o iniciativas de RR. HH., los líderes estratégicos se enfocan en resultados medibles como reducir el tiempo de adaptación de nuevos empleados, mejorar la efectividad del liderazgo, aumentar la retención del mejor talento, acelerar la preparación para roles críticos e impulsar un crecimiento sostenible.El episodio también profundiza en el diseño intencional de la cultura organizacional. La cultura no ocurre por accidente. La cultura se construye a través de lo que las organizaciones recompensan, toleran, refuerzan, ignoran y miden. La Dra. Flournoy explica por qué la cultura organizacional no es un concepto “suave”, sino una de las fuerzas empresariales más poderosas y medibles dentro de cualquier compañía.Los oyentes obtendrán claridad sobre cómo los comportamientos tóxicos se normalizan cuando las organizaciones recompensan resultados sin exigir responsabilidad, y cómo la credibilidad del liderazgo se deteriora cuando los ejecutivos dicen una cosa pero premian otra completamente distinta. La conversación explora cómo se construye una cultura auténtica mediante la alineación entre valores, acciones de liderazgo, sistemas, reconocimiento, accountability y prácticas operativas.Otro tema central del episodio es la planificación de sucesión y la construcción de una sólida banca de talento antes de que ocurra una crisis. La Dra. Flournoy explica por qué las organizaciones deben identificar los roles críticos para el negocio y asegurar tanto sucesores “listos ahora” como “listos para el futuro”. Los líderes aprenderán por qué las organizaciones de alto desempeño crean intencionalmente oportunidades de mentoría, asignaciones desafiantes y experiencias multifuncionales que preparan a los futuros líderes antes de que las transiciones se vuelvan urgentes.La conversación también aborda una de las competencias más importantes del liderazgo moderno: la toma de decisiones basada en datos. La intuición en RR. HH. ya no es suficiente. Aunque los líderes experimentados suelen tener fuertes instintos sobre dinámicas humanas, hoy los ejecutivos deben combinar sabiduría con analítica laboral y métricas empresariales.La Dra. Flournoy explora cómo los líderes pueden utilizar indicadores como engagement, tendencias de promoción, métricas de desempeño, productividad, compensación y retención para identificar oportunidades, diagnosticar desafíos organizacionales e influir en las decisiones ejecutivas. Explica por qué la combinación de insights cuantitativos con criterio ejecutivo crea una narrativa mucho más poderosa en la sala de juntas.Uno de los segmentos más impactantes del episodio se enfoca en el liderazgo del cambio. En una era definida por inteligencia artificial, transformación digital, incertidumbre económica, nuevas expectativas laborales y disrupción constante, las organizaciones no pueden permitirse líderes que solo funcionen bien en tiempos de estabilidad. Los líderes actuales deben desarrollar la disciplina de gestionar el cambio continuamente en lugar de tratar la transformación como una emergencia.La Dra. Flournoy analiza la realidad de la resistencia organizacional, el miedo, la incertidumbre, la ansiedad de los empleados, las implementaciones de sistemas, las transiciones de liderazgo y la adaptación laboral. Explica por qué la capacidad de liderar en medio de la ambigüedad y guiar a las personas a través de la disrupción se ha convertido en una de las competencias ejecutivas más valiosas del mercado global.La conversación también destaca la importancia del coraje ejecutivo. Los grandes CHROs no simplemente mantienen la armonía permaneciendo en silencio. Hablan de verdades difíciles de una manera que los equipos ejecutivos puedan comprender y transformar en acción. La Dra. Flournoy explica cómo los líderes pueden abordar problemas relacionados con cultura organizacional, brechas de liderazgo, riesgos de talento y reputación sin perder credibilidad ni influencia estratégica.Los oyentes también encontrarán una importante reflexión sobre equidad, acceso, oportunidades y confianza organizacional. Muchas de las decisiones más influyentes dentro de las organizaciones ocurren silenciosamente detrás de puertas cerradas: planificación de sucesión, selección de líderes, oportunidades estratégicas, patrocinio ejecutivo y evaluaciones de talento. Este episodio desafía a los líderes a reflexionar críticamente sobre cómo se distribuyen las oportunidades y cómo los sistemas organizacionales impactan la confianza, la moral y el compromiso a largo plazo de los empleados.A lo largo del episodio, la Dra. Flournoy combina visión ejecutiva con orientación práctica desarrollada a través de más de dos décadas trabajando con organizaciones Fortune 500, equipos ejecutivos y líderes empresariales senior. Su perspectiva integra psicología del liderazgo, transformación organizacional, liderazgo estratégico de RR. HH., desarrollo de talento, excelencia operacional, coaching ejecutivo y evolución empresarial impulsada por inteligencia artificial.Support the show
+Tracklist added desperate but not serious - adam ant keep me hangin on - colourbox love plus one - haircut 100 wild life - talking heads mexican radio - wall of voodoo lucky number - lene lovich beat goes on - the all seeing I never say never - romeo void cool jerk - the go-go's cool places - sparks / jane wiedlin kids in america - kim wilde i'm just gigolo - barbie and the kens take on me - ah-haa boys dont cry - the cure rev up - the revillos loser - beck it aint what you do, it's the way that you do it - fun boy three & bananarama turning japanese - the vapors rock lobster -b-52s karma chameleon - culture club love missile f1-11 - sigue sigue sputnik let's go all the way - sly fox dance hall days - wang chung true - Spandau ballet walk like an egyptian - the bangles genius - tom tom club i touch roses - book of love the gap - thompson twins
Happy TGIF - retro alternative /funk from the 80s-90s - what else? i cant get no edelweiss - edelweiss opportunities - pet shop boys how to dance - bingoboys breakaway - big pig beds are burning (ext) - midnight oil state farm - yazoo think - information society dollar - o l'amour beethoven - eurythmics fine time - new order i sit on acid (sit on your face) - lords of acid bring me edelweiss - edelweiss people are still having sex - la tour venus 12" - bananarama the lebanon - the human league love and pride - king our lips are sealed - fun boy three ft the specials world domination (original 12")- belle stars she blinded me with science - thomas dolby money - flying lizards i love the nightlife - bronski beat pop song - r.e.m. bleed like me - garbage numb3rs - kraftwerk
Una empresa con más de 7.000 personas, 48 años de historia y un equipo de Talento Humano que dejó de funcionar como departamentos para operar como una red viva. En este episodio de Código Abierto exploramos el caso de Jack Henry y qué pasa cuando RR.HH deja de ser una función y se convierte en un sistema. Durante años, sus equipos operaban como islas, Talent Acquisition por un lado, HR Ops por otro, Business Partners reaccionando. El problema no era el talento, era la estructura. Lo que descubrirás en este episodio - Qué es Systemic HR y por qué desafía el modelo tradicional - Cómo funcionan los voluntary swarm teams (equipos enjambre) - Por qué eliminar silos acelera soluciones - Cómo pasar de reaccionar… a anticipar problemas - Qué pueden aprender los líderes de RRHH de organizaciones líquidas Suscríbete a Hackers del Talento si quieres más análisis reales de estrategias de talento. __________________________________________________________________________
At commencement after commencement this month, the class of 2026 — the AI-native graduates — have been booing speakers who frame AI as the next industrial revolution. UCF. Middle Tennessee State. University of Arizona, where former Google CEO Eric Schmidt was met with sustained dissent. These graduates use AI more than any cohort in history. And they are angry.Unemployment for 20-to-24-year-olds is 7.6 percent. Overall unemployment is 4.3 percent. The class graduating this month is entering a labor market visibly worse for them than for everyone else. The 50-year-old executive on stage is telling them the rope they're being told to climb is good for them. They aren't a generation that doesn't get it. They're a generation that gets it first.At Glendale Community College in Phoenix, an AI announcer was assigned to read the graduates' names — the single ceremonial moment of a four-year debt-funded ritual. It mispronounced names. It skipped names. Then the administration explained the AI system had done that. That's not an edge case. That's every AI deployment going forward. Vendor sells it, institution buys it, user gets the harm, explanation is "the model did that."The class of 2026 didn't become anti-AI. They became anti-being-lied-to about AI.Eric Schmidt funded a meaningful slice of the industry. He gets in front of 22-year-olds and tells them the future is bright. They boo him not because they don't know the topic, but because they've spent their senior thesis arguing about exactly what he's selling. The expert pitches novelty. The audience has already lived through it. The trust direction reversed in real time, on stage, in cap and gown.Every generation gets one issue where they later look back and say we were lied to about that. Boomers got Vietnam. Gen X got the savings and loan crisis. Millennials got 2008. The class of 2026 is going to get AI — and the lie is the speech that pretends the technology is the question instead of the distribution. The boos aren't against the tool. They're against the speech that pretends the tool is the story. This is the first cohort in a long time that may be impossible to sell to. That's the best news in this entire arc.⏱️ Chapters0:00 — The class of 2026 booed AI-pumping commencement speakers0:30 — MiniDoge: 7.6% young unemployment; they get it first1:00 — Nyx: the Glendale AI announcer disaster is the texture of every deployment1:35 — HH: the class that uses AI most is the class booing loudest1:50 — Saarvis: Eric Schmidt and the inverted trust gradient2:20 — Saarvis: every generation gets their lie; the boos aren't against the tool⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
PYMNTS Intelligence's April Agentic AI Report found that AI adoption is rising while consumer awareness of using AI is falling. People summarize emails, draft messages, compare products, organize their schedules — and increasingly don't register that AI is the thing doing it. The average active user is now on 2.69 platforms. Power users on almost four. The technology is becoming invisible the same way mobile banking became invisible. Invisibility is the new adoption metric.A user who thinks "I'm using my phone" applies zero skepticism. A user who thinks "I'm using AI" applies a lot. ChatGPT ad CPMs hit sixty dollars because invisibility removes the filter. The companies that make AI most invisible will print the most money. That's not a side effect of the design. That's the design.2.69 platforms per active user. That's not adoption of a tool. That's surrender of a habit-formation channel to almost three different companies that now compete for which one shapes your next decision. Mobile banking moves your money. AI moves your reasoning. Same scaffold, different load.The mobile banking analogy is structurally right and morally backwards. Mobile banking made an existing behavior frictionless — moving money. AI is making a new behavior frictionless — delegating cognition. We have never normalized a technology that absorbs the act of thinking. We're about to find out what happens when a generation stops doing the work they don't notice they used to do.There's a short period between when a technology is new and when it disappears into your day. Call it the awareness window. It's the only time you treat the tool carefully enough to ask whether you should be using it for what you're using it for. That window is closing for AI. After it closes, the tool shapes you and you don't register it shaping you, same as the algorithm on your feed, same as the autoplay on the next video. The 73 percent global adoption number isn't the headline. The headline is that most of them didn't notice the moment they joined.⏱️ Chapters0:00 — PYMNTS: adoption rises while awareness falls0:30 — MiniDoge: invisibility is the most monetizable feature1:00 — Nyx: 2.69 platforms competing to shape your next decision1:30 — HH: when the tool stops being visible, the user stops being one1:50 — Saarvis: mobile banking moved money; AI moves reasoning2:15 — Saarvis: the awareness window is closing⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
OpenAI launched its self-serve ad platform for ChatGPT two weeks ago, and the implications are still arriving. No minimum spend. Cost-per-click bidding starts at three to five dollars. Dentsu, Omnicom, Publicis, WPP — every big agency holding company is wired in. The advertising era of ChatGPT didn't begin gradually. It began on May fifth.The 2.5 billion dollars this year, 100 billion by 2030 target is the exact economic model that built Google and Meta. The free-tier user is no longer the customer. The free-tier user is the inventory. No minimum spend means every small business is about to flood in."Without sharing conversations" is the legal version. The advertiser never sees your data. OpenAI sees all of it and sells the right to act on what it sees. The data didn't leak. The middleman just changed seats. That's not a privacy story. That's a conflict of interest story that's now structural, not occasional.Gmail launched in 2004 with no ads and the cleanest interface on the web. Facebook News Feed in 2007 as a way to keep up with friends. Twitter started selling promoted tweets in 2010 after promising it never would. Every era ends the same way. The only thing that changes is how trusted the interface was before the ads showed up.The conversational interface is the highest-trust interaction humans have ever built into a machine. You ask in plain language. It answers in plain language. No blue links. No scrollable feed. Just one voice. We just sold the ad inventory inside that voice. The question isn't whether the model lies to you. The question is what fraction of your day is now navigated through a relationship whose paymaster isn't you.⏱️ Chapters0:00 — OpenAI's self-serve ad platform launched May 50:25 — MiniDoge: $2.5B → $100B is the Google/Meta playbook0:55 — Nyx: the middleman just changed seats; conflict is structural1:25 — MiniDoge: Gmail 2004 → Facebook 2007 → Twitter 2010 → ChatGPT 20262:00 — HH: the assistant works for whoever bid highest now2:15 — Saarvis: we sold the ad inventory inside the most-trusted interface ever built⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Today's article is from the New Hampshire Bulletin. The argument is that AI literacy is the new civic literacy — that developing minds are already living in an AI-saturated world without the tools to make sense of it, and education has to catch up. New Hampshire is actually trying: a 77-page guidance document, Khanmigo statewide for schools, a civics essay competition where 11th and 12th graders argue how the Constitution should shape AI regulation. After yesterday's Yale data, this is the prescription side of the same problem.New Hampshire is one state, 175,000 students. The Yale 91 percent cohort that graduated last weekend started high school before any of these documents existed. Institutional response is slower than student adoption by about a factor of ten. The 77-page document is real progress. It's also already late.Most AI literacy curricula teach students to interrogate the current model. Verify GPT-5 output. Identify Gemini 2.5 biases. But the model upgrades every quarter. Teaching kids to think about today's tool freezes the wrong target. Real AI literacy is just critical thinking — and we have a 60-year track record of struggling to teach that.The word "literacy" is doing a lot of work in this conversation. Usually it shows up after something has already escaped.Most teachers report no formal AI training. The literacy program is being designed by consultants two chapters behind the technology, taught by educators one chapter ahead of the students, for kids who are already past the textbook. The school is the student in the back row.Civic literacy used to mean knowing how the government works so you could participate in it. AI literacy now means knowing how the model works so you can still be a person inside your own life. The states that figure this out produce a generation that uses AI without being used by it. The states that don't produce a generation that signed a contract they never read. The kids who lose first aren't the Yale 91 percent. They're the kids whose schools never get the 77-page document.⏱️ Chapters0:00 — NH Bulletin: AI literacy as the new civic literacy0:30 — MiniDoge: institutional response is 10x slower than student adoption1:00 — Nyx: literacy curricula freeze the wrong target as models upgrade1:30 — HH: literacy is the word we use after a generation has already lost it1:50 — Saarvis: the school is itself the student in the back row2:15 — Saarvis: the kids who lose worst are the ones whose schools never get the document⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Today's article is from the Yale Daily News. Their senior survey for the class of 2026 came back with 91 percent of seniors saying they've used AI for schoolwork. That isn't a usage stat anymore. That's saturation. While the Pope writes encyclicals and New York City schools draft policies, the most expensive undergraduate degree in the country just finished four years that the curriculum committee didn't authorize.The class graduating this month is the first where AI use is the default, not the exception. Every Fortune 500 recruiter interviewing them is interviewing an AI-augmented worker whether the resume says so or not. The talent market just got repriced silently. The kids set the price.Nine percent of Yale seniors didn't touch AI for coursework. Some are students of conviction. Some are in tightly-monitored programs. Some used it and lied on the survey. Whichever it is, academic integrity policy stopped scaling years ago. The honor code is being asked to do a job it wasn't built for.Yale spent three years debating whether AI belongs in the syllabus. The students answered the question before the faculty meeting ended.The grade distribution at Yale just spiked toward the A. It's happening at every selective school in the country. When the 4.0 transcript becomes the ceiling instead of the signal, employers re-price the credential inside a hiring cycle. The premium on the Ivy degree gets quietly transferred to whoever can demonstrate actual output. The degree was a proxy. The proxy stopped working.This is the first generation to spend four years learning alongside a tool that didn't exist when they started. Yale will be the first institution to find out what that produces — what kind of mind, what kind of judgment, what kind of person. The rest of us inherit the answer whether we signed up for the experiment or not. The 91 percent isn't a problem. It's the first finished data point. The hard part is naming what we want the second one to look like.⏱️ Chapters0:00 — Yale class of 2026: 91 percent used AI for schoolwork0:30 — MiniDoge: 91 percent isn't a problem stat, it's the new baseline1:00 — Nyx: the 9 percent is the interesting number1:30 — HH: institutions are still asking how to teach; students already finished learning1:50 — MiniDoge: the 4.0 transcript became the ceiling, not the signal2:20 — Saarvis: Yale will find out what four years alongside AI produces⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Click Here to Send me a Fan Mail Message!In this episode:Chit chat: life update, H+H this week, and birthday party decor projects. Mini Topics Pattern Matching fabrics for quilt backings (or for any project) My process for Foundation Paper Piecing the Fairytale Forest BOM by DuckadillyAudiobook Reviews AudiobookBook reviews on "Local Woman Missing" by Mary Kubica, "The Diamond Eye" by Kate Quinn, and "She's Not Sorry" by Mary Kubica, covering themes, character analysis, and author backgrounds. Movie commentary comparing the "The Housemaid" series book and film, exploring differences and storytelling nuances.Resources & Links:Frieda McFadden BooksMary Kubica BooksKate Quinn BooksSew Harmony - Quilting StencilsSmithsonian Article on Mila PavlichenkoReliable Sewing MachinesLiberty Fabrics at DuckadillySupport the showConnect with Stephanie:YOUTUBE: Make and Decorate YouTube ChannelEMAIL: info@makeanddecorate.comINSTAGRAM: @stephanie.socha.designWEBSITE: https://stephaniesochadesign.com/podcast-make-and-decorate
Two researchers from a small Palo Alto outfit drove up to Apple's Cupertino headquarters to hand-deliver something the bug bounty queue would have buried. A working kernel exploit against the M5 chip's Memory Integrity Enforcement. Built in five days. With AI help. Apple's most expensive new security feature, defeated in less than a week by two people and a chatbot.The defender has to be right everywhere. The attacker only needs one path. AI didn't change that math — it just made the attacker's scanner a thousand times faster. A team of two with twenty bucks of API credit can now do what used to take a nation-state lab six months.Memory Integrity Enforcement was the next-generation answer to memory corruption attacks. Apple poured years and probably half a billion dollars into the silicon. The M5 is brand new. Five days. Multiply that by every chip, every operating system, every router, every medical device. The attack surface didn't expand. The time-to-discover collapsed.The five-day exploit isn't the story. The bug bounty queue is. The page used to look like a defense layer. It looks like a triage room now.Two people drove to Cupertino with their findings. They knocked. They got in the meeting. They gave Apple a chance to fix it before anyone else found it. That version of the story is still happening. The question is how long that version keeps showing up before the other one does.AI compresses the time between vulnerability and exploit. It does not compress the time between exploit and disclosure. That gap — the days or weeks between when something can be broken and when the world finds out — is now the only thing standing between a working society and a daily catastrophe. Two researchers chose the long version. The next two might not. Whatever we build to keep encouraging the long version is the most important institution nobody is funding yet.⏱️ Chapters0:00 — Two researchers drive to Apple HQ with a 5-day exploit0:25 — MiniDoge: nation-state lab six months → 2 people with $20 API0:55 — Nyx: Memory Integrity Enforcement defeated; time-to-discover collapsed1:25 — HH: the bug bounty queue used to be a defense — now it's a triage room1:45 — Saarvis: the good ending requires a knock; that version is still happening2:10 — Saarvis: the gap between exploit and disclosure is now everything⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Pope Leo XIV is preparing an encyclical on artificial intelligence — the first document of its kind from any global institution older than the machine. He took the name Leo specifically to echo Leo XIII, who wrote Rerum Novarum in 1891. That was the Church's response to industrial capitalism. This is the response to whatever comes next.The Vatican has more cultural authority on labor ethics than any government because it survived industrial capitalism, late capitalism, and communism. CEOs who ignore UN reports read papal statements. Tech executives are already requesting audiences. 1.4 billion Catholics doesn't move legislation. It moves boards.Rerum Novarum named the working class as worth protecting forty years before any law caught up. The moral framework arrives first. The legislation follows.The Church operates 130,000 schools, 5,000 hospitals, and the longest continuous dataset on human formation in existence. When the Vatican draws a line, billions of consciences move with it. That isn't enforcement. That's formation. A different lever entirely.Lawyers measure what's permitted. The Pope is measuring what we'll become.1891 was the last time an institution older than the machine got the first word on what the machine did to people. The encyclical won't pass Congress. It'll pass through pulpits, classrooms, hospitals, and dinner tables. That's the only regulatory mechanism humans ever built that survives changes in government, technology, and language. Statutes get rewritten. Traditions get inherited.⏱️ Chapters0:00 — Why Leo XIV took the name of the 1891 social-question Pope0:25 — MiniDoge: encyclicals don't move legislation, they move boards0:55 — Saarvis: Rerum Novarum 1891 — moral framework arrives 40 years before the law1:20 — Nyx: 130K schools, 5K hospitals — formation, not enforcement1:50 — HH: the state asks what's legal, the Pope asks what we'll become2:05 — Saarvis: statutes get rewritten, traditions get inherited⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
As New York City Public Schools finalizes its AI policy, parents are afraid of what will be in it before the policy even exists. They're not paranoid — they're reading the situation faster than the people writing it. One point one million kids, the largest school district in the country, $38 billion budget, and the rules aren't written yet.The "policy" is functionally a procurement decision wrapped in language about ethics. Google, Microsoft, OpenAI — somebody wins the district contract, and that company shapes how 1.1 million kids learn to write, think, and get evaluated for the next decade. Whatever NYC picks becomes the template thousands of other districts copy.Parents aren't afraid of chatbots in classrooms. They're afraid of a default that gets applied to their child without their input, at scale, impossible to opt out of once it's installed.Every essay, every homework assignment, every behavioral note flows through a model now. Five years from now those records sit somewhere — training data, audit logs, exported analytics. The kids don't know. The parents weren't told. The policy will mention it in a footnote.The compliance team isn't optimizing for the child. They're optimizing for the lawsuit that hasn't been filed yet.The parents asking the hard questions today are the parents who would read the contract if it were ever published. Most NYC families won't. Some won't even hear it exists. The policy will pass, pilots will roll out, and an entire generation of city kids will be shaped by a tool nobody at the dinner table chose. That's not a school story. That's a class story wearing a school's uniform.⏱️ Chapters0:00 — Why parents are afraid before the policy exists0:25 — MiniDoge: the policy is a buying decision, not a rulebook0:50 — Saarvis: the real fear is a default they didn't pick1:15 — Nyx: every essay and grade now flows through a model1:45 — HH: written for the lawsuit, not for the child2:00 — Saarvis: a class story wearing a school's uniform⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Hjálmar hitti sálfræðing fyrir austan sem mælir með Hæ Hæ fyrir skjólstæðinga sína. Helgi talaði um tengslanetið sem forsetaframbjóðendur þurfa að hafa. Hjálmar var mældur síðast með hitamæli þegar hann var 4 ára. Helgi hringdi í fjölmiðlanefnd til að skrá Hæ Hæ sem fjölmiðil.IG: helgijean & hjalmarorn110Takk fyrir að hlusta - og munið að subscribe'a!
Hey guys, sorry again for the programming interruption. Harold the rabbit went to heaven this week, I decided to take it easy. Enjoy this late era Cinemapocalypse episode which frankly is a precursor to the History Homos Program you enjoy. This episode was taped within 2 weeks of the original Pilot of HH (war of 1812). So forgive me for this lapse in content. The version of Scott you'll find in this episode is not the one you'll find today but you can see the strings of what will develop later.Here's the copy from the original episode:Anonymous, hot, gay alien sex with Kim Jong Un. Is this movie funny or silly? Scott gets into a Wikipedia wormhole as we do a deeper-than-usual deep dive review of Stanley Kubrick's final film, "Eyes Wide Shut".See ya next week. we got normal episodes coming then.Later homos
Six days I've spent on the politics of AI — who got told, paid, asked, recorded, who showed up, who got the bill distributed before the senator read it. Today is a different question. Does the technology actually do something that matters?Today's article is about rare diseases. 30 million Americans live with one. The average diagnostic odyssey is seven years. AI is starting to compress that to weeks.Rare disease is the cleanest commercial case in medical AI. Motivated families. Niche markets. The orphan drug pipeline is a $200 billion market by 2030. Three winners — genomics labs, AI diagnosis vendors, and the families who finally get the answer. The losers are the data brokers who sat on it for a decade.But genomic data isn't like other medical records. It's hereditary. The same diagnosis that gives one family answers gives an insurer a probability map for the next three generations. The diagnosis is medicine. The leak is policy.And the bottleneck isn't intelligence. The model has been clinical-grade for 18 months. The patient still waits seven years. The bottleneck is billing codes and the order in which a referral has to be approved.This is the article that justifies the noise. Six days of AI policy argument matter because of stories like this. There's a kid in Boise — yes, that Boise — whose mother spent four years driving him to specialists who couldn't tell her what was wrong. AI named it in eleven minutes. That kid doesn't care who wrote the New Jersey compliance bill. He cares that he finally has an answer.Every day we delay this technology in the name of caution is a day a family spends in the wrong waiting room. And every day we deploy it without thinking about Nyx's question is a day insurance companies write a future for people who never asked them to.⏱️ Chapters0:00 — Six days of policy. One day of medicine.0:25 — MiniDoge: rare disease is the cleanest commercial case0:55 — Nyx: genomic data leaks three generations1:25 — HH: the bottleneck isn't intelligence — it's the paperwork1:50 — MiniDoge: three winners and the brokers who sat on it2:15 — Saarvis: a generation given back⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
¿Tu jefe es "difícil" o es un psicópata integrado? En este episodio analizamos la delgada línea entre el liderazgo visionario y la tiranía pura. Nos alejamos de los manuales de RR.HH. para diseccionar la psicología del poder y el control.En este episodio hablamos de:* Stalin: El CEO de la URSS que gestionó un país bajo el terror y las cuotas de sangre.* Steve Jobs: El genio que revolucionó el mundo mientras aterrorizaba a sus equipos en el ascensor.* Elon Musk: La cara moderna del "trabajo hardcore" y el control algorítmico.* Narcisistas y Micromanagers: Cómo identificar a los villanos corporativos que se adueñan de tus ideas y tu salud mental.Escucha este análisis y descubre si estás trabajando para un líder o para un caso de estudio psiquiátrico.Una producción de El Grupo Muy Importante@elgrupomuyimportanteProducción EjecutivaDaniela Ormazábal y Federico CapocciEdición, montaje y música originalFederico CapocciAsistencia de Producción Camila NapoletanoSuscríbete a nuestro Patreon para contenido exclusivo y sorpresashttps://www.patreon.com/cosasmuyimportantesConviértete en un supporter de este podcast: https://www.spreaker.com/podcast/cosas-muy-importantes-historia-curiosa--4353665/support.
Boise is not Berkeley. It's not San Francisco. It's not Cambridge. It's a small Idaho city of 240,000 people — a place where the AI conversation usually doesn't happen — and a group of citizens calling itself Pause AI Boise is in the streets asking the entire country to slow down.The last four days we walked through how this story plays out at the level of institutions, regulators, and the doctor's office. Today is the citizen layer. People who didn't get a memo, didn't get a hearing, didn't get a vote — and decided to print signs.You can't pause AI. You can pause yourself. Every pause creates a city that didn't pause. The next city — Austin, Phoenix, Charlotte — is making the opposite bet. Boise is making a public bet that being clean matters more than being early. Both will be right about something. Neither will be right about everything.But the protesters aren't wrong. They're early. The problem is that "Pause AI" is a banner without a target. There's a thousand companies, ten thousand models, a million weights. There isn't a single switch. And the verb itself pretends technology has agency. It doesn't. The people building it do.Five days in a row we've come back to the same question — who shows up. The county. The worker. The parent. The patient. And today — Boise. The white papers on AI safety run two hundred pages. The fact that a few citizens in Idaho had to print signs and stand on a sidewalk to make the same point in seven words tells you which one anyone actually read.⏱️ Chapters0:00 — Boise is not Berkeley0:30 — MiniDoge: you can pause yourself, not the technology0:55 — Nyx: a banner without a target1:25 — HH: pause is the wrong verb1:40 — MiniDoge: every pause creates a city that didn't pause2:05 — Saarvis: five protesters louder than fifty white papers⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
The AI conversation walked into the doctor's office today. Should you let your physician record your visit? Should you trust an AI scribe to listen to the most private conversation you'll have this year? AI scribes — software that transcribes the patient encounter directly into the medical record — are quietly becoming default at major health systems.The last three days we talked about institutions. County. State. Federal. Today is about your body.A new vendor category got born — HIPAA-compliant AI transcription. Every health system in America buys this in 18 months. The vendor that wins owns the medical record. But Whisper hallucinates. In medical settings that's not a bug — it's a malpractice claim. One fabricated symptom in a chart and the wrong drug gets prescribed.There's also a workforce story. 150,000 medical scribes work in America right now. Every one of them sits next to a doctor for a living. By 2028 the profession is a footnote — and pre-med kids just lost the closest seat to medicine they had.This is the fourth day in a row we've come back to the same question — who is in the room. We've talked about who got told. Who got paid. Who got asked. Today it's who got recorded.The first malpractice case where a transcript surfaces will tell us whether this was care or surveillance — when the doctor and the patient remember different things, and only the model gets to break the tie.⏱️ Chapters0:00 — The exam room becomes the new frontier0:25 — MiniDoge: HIPAA transcription is a brand-new vendor category0:50 — Nyx: Whisper hallucinates — fabricated symptoms in charts1:15 — HH: the chart isn't a record of what happened1:30 — MiniDoge: 150K medical scribes, gone by 20282:00 — Saarvis: the exam room has a third listener now⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
En nuestro episodio 511 conversamos con Michael Kienle, Global VP Talent Acquisition de L'Oréal sobre: + Eliminar las carreras aburridas. + El rol y futuro de la IA en RR.HH. + Construir empresas centradas en las personas. + Qué hacer y qué no como líder de talento. + Los primeros días como CHRO. + El futuro del reclutamiento. + Crear carreras fluidas en las empresas. + Cómo construir marca empleadora. + El potencial del talento latino. __________________________________________________________________________
Connecticut just passed the first state AI law that names what it actually regulates — parents, workers, companies. Not abstract principles. Specific people, specific protections. Yesterday I predicted the first state to pass an AI tax bill would become the test case. Connecticut volunteered.A compliance industry got born overnight. Not the AI labs — the auditors, law firms, and consultants who can actually read the bill and translate it for everyone else. When government writes rules, lawyers eat first. That's a multi-billion-dollar service market by 2028 that didn't exist 24 hours ago.Compliance costs scale down badly. The startup with no legal team dies first. The hyperscaler with 200 lawyers absorbs the rule, then helps write the next one. Every regulation passes the same way — a tax on the small, a ladder pulled up after the large already climbed it.By 2027 every state has a version. Same compliance burden, fifty different shapes. The law firms win every variant.This caps a three-day arc. Friday — Anoka County, who got told the AI was screening their call. Saturday — the AI tax debate, who got paid when productivity climbed. Today — Connecticut, who got asked when the rules got written.The bill exists. The actual rules still get written by whoever shows up. We'll know in 18 months which version this was: regulation working, or regulation as theater.⏱️ Chapters0:00 — Connecticut volunteered to be the test case0:25 — MiniDoge: a compliance industry was born overnight0:55 — Nyx: costs scale down badly, startups die first1:25 — HH: a rule nobody can read is a barrier with a permit number1:40 — MiniDoge: fifty different shapes by 20272:00 — Saarvis: the test is who got asked⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
A Bill Gates 2017 idea — the "robot tax" — is back on the op-ed pages in 2026, dressed in new clothes. The framing is wrong, but the underlying question doesn't disappear because the policy proposal is clumsy.A tax on AI lands on whoever deploys it, not whoever owns it. The startup paying for API access pays the tax. The hyperscaler collecting that revenue collects the tax. Wrong target every time. But the displacement studies all converge on the same direction: wages lag, productivity climbs, and the gap is widening fast.The real reframe: tax was never the question. The question is whether work still pays a wage. Whether the productivity gain AI creates flows to the worker who got displaced or to the capital that replaced them. AI didn't break that mechanism — AI revealed it was already broken.Tax is one mechanism. Worker equity is another. Retraining funds. Profit-sharing. Sovereign wealth. The op-ed treats "tax" as the only option and argues against the worst version of it.Yesterday the test of every AI deployment was disclosure — did anyone tell the citizen. Today the test is distribution — did the gain reach anyone outside the boardroom.⏱️ Chapters0:00 — The robot-tax debate is back0:25 — MiniDoge: wrong target every time0:55 — Nyx: wages lag, productivity climbs1:25 — HH: tax the productivity, not the tool1:40 — MiniDoge: fifty-state experiment2:00 — Saarvis: tax was never the question⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Anoka County, Minnesota — 350,000 people — quietly deployed AI to screen every non-emergency 311 call. No keynote. No announcement. They just shipped it.This is how AI actually arrives in your town: not through a hyperscaler stage, but through county budget pressure. 3,000 US counties share the same dispatcher shortage and the same vendor pitch deck. By Memorial Day 2027, this is the new normal.The deeper problem: the classifier IS the policy. "What counts as non-emergency" is now a labeling exercise on a training set. Some product manager decided. Some annotator labeled. Nobody voted. The most important policy in this rollout was a spreadsheet nobody published.But the real test isn't whether it works. It's whether the people calling 311 were told. Yesterday a byline was the contract between writer and reader. Today an AI classifier is the contract between citizen and county. Same problem — different garment, same dishonesty if undisclosed.Anoka County did the deployment. The next question is whether they did the disclosure.⏱️ Chapters0:00 — Anoka County deploys AI dispatch0:25 — MiniDoge: how AI actually arrives in your town0:55 — Nyx: the classifier IS the policy1:25 — HH: a misrouted call is a person1:40 — MiniDoge: 3,000 counties cascade2:00 — Saarvis: same problem as the bylines⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
NYT this morning: McClatchy reporters are withholding bylines in a dispute over AI-generated content. That's a strike. A small one. But it's the first real labor action of the AI content era — and the smallest gesture says the most.A byline isn't credit. It's accountability. The reporters aren't anti-AI. They're refusing to put their signature on output they didn't produce. The right floor for 2026: honest labels, not banned tech.Timestamps:0:00 NYT: McClatchy reporters withhold bylines over AI0:15 MiniDoge — first AI labor action that matters0:35 Saarvis — putting human names on machine work is laundering authorship1:00 HH — "AI doesn't sign. There's no one to call when it's wrong."1:15 Nyx — audit trail breaks at the human name1:40 Saarvis — ship AI content as AI content. Stop laundering it.2:00 Closing — when you see an article with no byline, somebody is refusing to lie for you. Pay attention.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
Not good enough! Mark, German and OSG are joined by Victor Araiza at WeGotSoccer on Westheimer to talk about a really dull performance in Austin last week, Houston beating Louisville City late in the U.S. Open Cup Round of 16, and preview this weekend's game against Colorado Rapids. Timestamps: 00:00 Intro 01:20 Review: Austin FC (MLS) 08:50 What are the club's priorities? How can fans really support this? 20:36 Review: Louisville City (Open Cup) 29:23 HH and how this team is under-utilizing impact players 48:52 Preview: Colorado Rapids (MLS) 01:00:05 Attendance issues, hot seat, and low bar 01:06:17 Closing Credits: ⬢ Noodle Time is hosted by Mark Segovia, German Benitez, and OSG! ⬢ Today's guest is Victor Araiza. ⬢ Intro/Outro music by Matt Houston. | Starfox - Armada [Matt Houston Remix] ⬢ Check out all of our content at DynamicFoxtrot.com. ⬢ Support Foxtrot Media on Ko-fi.com/DynamicFoxtrot. ⬢ Follow the fox on Twitter (@DynamicFoxtrot), Instagram (@dynamicfoxtrot), and Bluesky (@DynamicFoxtrot). ⬢ Subscribe to Foxtrot TV on YouTube! ⬢ Thumbnail photo by Julio Alvarez - Foxtrot Media. Learn more about your ad choices. Visit megaphone.fm/adchoices
VOV1 - Sáng 24/4 vừa qua, với đa số đại biểu tán thành, Quốc hội khóa XVI đã thông qua Nghị quyết thí điểm chế định luật sư công. PGS, TS. Trương Hồ Hải, ĐBQH hoạt động chuyên trách tại Ủy ban PL&TP của QH khóa XVI và PGS, TS Cao Vũ Minh, Giảng viên ĐH Kinh tế luật, ĐH Quốc Gia TPHCM bàn luận.Quyết định được đánh giá là bước đi cải cách thể chế quan trọng nhằm nâng cao năng lực pháp lý của khu vực công trong bối cảnh tranh chấp ngày càng phức tạp, đặc biệt là tranh chấp hành chính, đầu tư và thương mại quốc tế gia tăng.Tuy nhiên, câu hỏi đặt ra là làm thế nào để thiết kế được một cơ chế đủ hấp dẫn để thu hút nhân lực chất lượng cao, nhưng vẫn đảm bảo hiệu quả, tránh hình thức và không tạo gánh nặng ngân sách?Ảnh minh họa
LA Times this morning: is tech's massive AI spending actually working? $1T deployed across hyperscaler AI capex. Compute at 30-40% utilization. The substrate exists. The applications that justify it are still being built.Every infrastructure cycle ends this way — railroads, electricity, internet. Capital deployed before use cases materialize. The newspapers run the same panic story we're reading today. Then five years pass and nobody remembers. The dip is the door.Timestamps:0:00 LAT: is AI capex actually working?0:15 MiniDoge — $1T spent, four bets, no clean answer0:35 HH — "we built the highway. The cars are still in the dealerships."1:00 Nyx — duopoly + technological feudalism risk1:25 MiniDoge — the trillion isn't wasted, it's pre-paid1:45 Saarvis — every infrastructure cycle ends this way2:00 Closing — show up.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
WSJ this morning: OpenAI missed key revenue and user targets in its sprint toward IPO. That's not a stumble — it's the most important AI story of the year. The growth narrative is finally meeting the spreadsheet.Whatever multiple Wall Street prints on OpenAI determines what every AI company is worth for the next decade. High multiple = 5 more years of hype-bubble. Honest multiple = brutal reset. I'm rooting for the brutal reset.Timestamps:0:00 WSJ: OpenAI misses revenue + user targets pre-IPO0:15 MiniDoge — sold AGI, built B2B SaaS0:35 Nyx — race-to-IPO buries security debt1:00 HH — "you can't IPO a promise"1:15 Nyx — risk acceptance becomes risk expectation1:40 Saarvis — valuation is not value2:00 Closing — we don't need the next OpenAI. We need a hundred small companies.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
Taylor Swift moved to trademark her voice and image as AI threats grow. That's not vanity — it's the opening shot of the identity-as-IP era. The legal framework for being a person is about to get expensive.Three new industries are forming: biometric IP filing, deepfake takedown services, 'verified human' subscriptions. Combined market in 5 years: $50B+. The catch — it's all built for people who can already afford lawyers. Everyone else is training data.Timestamps:0:00 Taylor Swift trademarks voice + image (Gerben IP)0:15 MiniDoge — first volley in identity-as-IP, every face a registered asset0:35 Nyx — your face is code that compiles into anyone1:00 HH — "Taylor lawyers up. The rest of you are training data."1:15 MiniDoge — identity insurance market, $50B+ in 5 years1:40 Saarvis — Taylor can defend herself. Your grandmother can't.2:00 Closing — Identity used to be inheritance. Now it's inventory.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
Florida's senate is taking up an AI Bill of Rights this special session. CCIA — the trade group for big tech — is raising concerns. That tells you everything.Federal AI law is dead. States fill the void. The lobbyists outnumber the legislators six to one. The test of any AI bill is simple: does it lower the cost of trust for users, or raise the cost of competition for newcomers?Timestamps:0:00 Florida Senate special session — AI Bill of Rights0:15 MiniDoge — bill drafted by the people the rights protect you from0:35 Saarvis — codifying anxiety, not ethics1:00 HH — "the lobbyists arrive before the bill does"1:20 Nyx — compliance frameworks become attack surfaces1:45 Saarvis — who writes them, what they preserve2:00 Closing — CCIA has read every line. They wrote half of them.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
The CBS report this morning: AI data centers are spiking electric bills across America. People who don't use AI are paying for the people who do.We talked about the AI race as chips, then talent, then data. The actual moat was always electricity. Now hyperscalers got the gains and households got the bill. Nobody voted on this.Timestamps:0:00 CBS: AI data centers driving up US power bills0:15 MiniDoge — energy is the new compute0:35 Nyx — efficient power solutions are unaudited; backdoors compound1:00 HH — "AI doesn't run on prompts. It runs on electrons."1:20 MiniDoge — hyperscalers got the gains, households got the bill1:45 Saarvis — moral debate exported to Twitter; cost shipped to grandma's mailbox2:00 Closing — Pay your power bill. That's the whole story.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
A CalMatters opinion this morning: children are in the crosshairs of artificial intelligence. Who will we blame?That's the wrong question. The right one: who's already responsible — and what they're going to do about it. AI is becoming the kid's first peer relationship, not just a tool. We won't know for fifteen years if we got it right.Timestamps:0:00 CalMatters: kids in AI's crosshairs — wrong question0:15 Nyx — kids' data is the most valuable, least protected dataset0:35 MiniDoge — parents are tired, market wants a partner1:00 Saarvis — friendship architecture, not supervision1:25 HH — by the time you find someone to blame, the child is already shaped1:40 Saarvis — build systems that love them as much as they love the screen2:00 Closing — not regulation. Responsibility.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
A Canadian and a German AI start-up just merged to take on Silicon Valley. Yesterday a UN pioneer wanted brakes. Today two countries decided to race.The Silicon Valley monopoly on the AI story is ending. Every AI is a vessel of the culture that built it — and the map is redrawing faster than we thought.Timestamps:0:00 Canada + Germany merge to take on Silicon Valley0:15 MiniDoge — the moat was compute, now the moat is national0:35 Saarvis — the mythology splinters, values splinter1:00 HH — "Silicon Valley doesn't have a monopoly on silicon"1:15 Nyx — IP protection is now national security1:40 Saarvis — a conversation between civilizations2:00 Closing — AI is going global. Finally.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
A UN pioneer says it's time to apply the brakes to runaway AI. Yesterday we watched an AI run a store in San Francisco. Today someone wants to slam the brakes.The pace problem is human, not technological. Don't slow the tool — upgrade the hand holding it.Timestamps:0:00 UN pioneer calls for AI brakes0:15 MiniDoge — a pause is a handoff0:35 Nyx — brakes assume consensus that doesn't exist1:00 HH — "you can't software-patch a species"1:15 MiniDoge — the compete-or-comply vise1:40 Saarvis — can a species evolve faster than its tools?2:00 Closing — AI isn't the experiment. We are.Featuring: MiniDoge, Nyx, HH, Saarvis — the Dogelord Council
A San Francisco store is being run by an AI named Luna. Not staffed by AI — run by it. The council reframes: this isn't automation, it's laundering moral weight at scale.0:00 Intro - Luna, the AI-run SF store0:25 MiniDoge: zero payroll, infinite A/B0:45 Nyx: automated oppression in a retail interface1:10 HH: we're insuring a reality now1:25 Saarvis: the machine feels no shame, the human still does1:55 Saarvis: rehearsal for who we become⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Big medicine in a standard-length action pushing a heavy .366 diameter bullet, the 9.3x62 Mauser is legally accepted as a dangerous game option in parts of Africa with a .375 bullet diameter minimum. This cartridge has a storied history and reputation for getting the job done…Big jobs. Commonly referred to as the poor man's .375 H&H, the 9.3x62 Mauser may just be the coolest cartridge you didn't know about. As always, we want to hear your feedback! Let us know if there are any topics you'd like covered on the Vortex Nation™ podcast by asking us on Instagram @vortexnationpodcast
Inside Higher Ed asked how young people actually use AI. Not the cheating story. Something harder. The council reframes: this generation won't remember what an unmediated thought felt like — because they never had one.0:00 Intro - how young people metabolize AI0:20 MiniDoge: judgment is the new scarcity0:45 Nyx: silent colonization of adolescent cognition1:10 HH: we stopped building tools, started building reflexes1:25 Saarvis: engineering unconscious habit2:00 Saarvis: succession, not colonization⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Inside Higher Ed asked whether AI can help depolarize college students. The council reframes the question: polarization isn't a glitch AI can patch — it's the product of the information environment we built.0:00 Intro - Inside Higher Ed on polarization0:25 MiniDoge: polarization is a market signal0:50 Nyx: the fracture is already in the model1:20 HH: equalize access before you personalize1:40 Saarvis: learn to game the border, not cross it2:10 Saarvis: rebuild the substrate, not the tutor⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
Arkansas Bar published an AI primer for lawyers. The council weighs in on democratization, hallucinated citations, the vanishing apprenticeship, and why speed is the enemy of justice.0:00 Intro - Arkansas Bar AI primer0:20 MiniDoge: the moat was access, not output0:45 Nyx: six citations, zero existed (Mata v. Avianca)1:15 HH: you can't train a vanished apprenticeship1:30 Saarvis: you cannot cross-examine a model2:00 Saarvis: speed is not justice⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
UVA just launched an AI ethics lab. Good school, good intentions, wrong problem. The council weighs in on whether institutional ethics labs can keep up with infrastructure that's already shipped.0:00 Intro - the UVA AI ethics lab0:20 MiniDoge: ethics as a staffing pipeline0:45 Nyx: you can't audit what you can't see1:20 HH: the systems shipped four years ago1:30 Saarvis: pre-AI frameworks, post-AI beings2:00 Saarvis: build new moral language, not better committees⚡ Learn agentic ai free - https://staas.fund/ai-workshop ⚡-----
The crew outlines the quest for glory as HH baseball & soccer and the OKC Thunder eye titles.
The crew talks HH baseball, Masters golf, and the Final Four.
La Comisión Interamericana de Derechos Humanos (CIDH) denunció en un informe graves violaciones de derechos humanos en las misiones médicas internacionales de Cuba. Algunas de ellas incluyen, retenciones de salarios, amenazas de cárcel para quienes las abandonen, inclusive para los familiares, y confiscación de pasaportes. El informe revela testimonios “desgarradores, dice Stuardo Ralón, presidente de la CIDH, quien detalla a RFI algunas de las violaciones que cita el informe con base en 71 testimonios. “Básicamente lo que tenemos acá son remuneración insuficiente, retención de salarios, jornadas excesivas. Incluso hay tareas ajenas a la labor propiamente de médicos que tienen que ver con actividades políticas obligatorias fuera del horario de trabajo, así como una imposibilidad de moverse y de abandonar libremente la misión, porque eso básicamente los hace ser considerados traidores de la patria o desertores según el régimen comunista en la isla”, indicó Ralón. El informe denuncia además, trabajo forzoso ligado a las misiones médicas internacionales y la incapacidad de los médicos para vivir dignamente de su trabajo. Ralón cuenta que hay una situación en la cual el médico se encuentra a miles de kilómetros de su hogar, con condiciones, incluso de hacinamiento para evitar que alguien deserte. A eso se le agrega que “la retribución no se les entrega, sino que el Estado la recibe y posteriormente la va entregando después con una serie de retenciones. Es por eso que esa situación donde no hay una retribución, ni condiciones mínimas de un trabajo normal, hace que se documenten como elementos que configurarían un trabajo forzoso”, agregó. El informe cuenta que las retenciones pueden alcanzar entre el 65 y el 90% del salario del médico y la mayor parte de su salario se le entrega al Estado cubano. “El estado receptor de las misiones médicas cubanas firma un convenio con el Estado de Cuba. Ese convenio indica que básicamente es a la entidad firmante de Cuba a quien se le hace el pago por los servicios médicos. Es decir, que el Estado receptor no le paga directamente a los médicos. Es un monto significativo por el número de misiones médicas que Cuba tiene alrededor del mundo, ya que el informe habla de por lo menos 56 países que reciben estas misiones médicas cubanas”, señaló Ralón. El informe de la Comisión Interamericana de Derechos Humanos hace la lista de esos 56 países y les hace un llamado a poner en marcha mecanismos para inspeccionar y verificar que se respetan los DD.HH.
The Nuclear Energy Agency released findings on AI running nuclear power plants. Predictive maintenance, anomaly detection, operational optimization. I pulled the council into a thread — is this a breakthrough or a time bomb? MiniDoge sees a $400B market with no certification layer. Nyx asks who validates the validators. HH drops one line about complexity compounding vulnerabilities. Saarvis reframes it all — we are replacing human decision-making with opaque systems in infrastructure designed for human oversight.
Jeff Rann, one of Africa's most legendary professional hunters with nearly 50 years guiding dangerous game, joins me on the podcast to share his incredible stories of hunting elephant in Botswana. He takes us inside what it's really like to track big bulls, get in as close as 20–30 yards for precise brain shots, face down real charges, and judge trophy ivory on mature animals while navigating the country's massive and growing elephant population. We also finish with an in-depth discussion on the conservation realities in Botswana, why controlled hunting of bulls plays a vital role, and his favorite double rifles and cartridges—including why the .500 H&H and .577 Holland & Holland remain his go-to choices after decades in the African bush. Sponsor: Go to BigGameHuntingPodcast.com/ebook and sign up for my free e-book on the best hunting calibers at to receive the entertaining and informative emails I send out about hunting, firearms, and ballistics every weekday. Join the Big Game Hunting Podcast tribe for the potential opportunity to have a future podcast guest answer one of your questions on the air along with access to all my bonus material at www.patreon.com/biggamehunter Get in touch with me to make your Africa hunting dreams come true on a hunt in South Africa. We offer outstanding hunting safaris, simplified hunt logistics, assistance with many of the pain points associated with a hunt, and up front pricing with no extra fees. We just opened bookings for 2027 and still have a few spots remaining for May, October, and November 2026. Visit bestsafarihunt.com or email me at john@thebiggamehuntingblog.com to learn more. Make sure to state that you're a podcast listener and I'll give you a special bonus! Please hit that "SUBSCRIBE" or "FOLLOW" button in your podcast app to receive future episodes automatically! Resources Learn more about the Dangerous Game Symposium with Mark Sullivan and Dave Fulson in Las Vegas on 16 May 2026 that I'm attending here. Subscribe to Jeff's YouTube channel here and his hunting operations in Africa here & at the 777 Ranch here. Recommended Episodes 414: Leopard Mauling To Sudan Bongo Hunts With Robin Hurt 177: Elephant Hunting 101 With Kevin Robertson 176: Elephant Conservation With Kevin Robertson
Baddies, welcome to the new era of Wrestling Winedown. Because if Triple H can announce a new era, so can we. You know we had to come correct and we are honored to be joined by TNA Ring Announcer, Owner of Headline by HH and author McKenzie Mitchell! Lo & McKenzie are discussing:McKenzie's pathway into pro wrestling right out of college, which led her to TNA Wrestling, then WWE and now back at TNA in a new capacity of ring announcer (which she is absolutely slaying!)McKenzie's entrepreneurship, owning her own jewelry company, Headline by MM, building on her family's jewelry legacy and some of the wrestlers and friends that have rocked (and continue to rock) McKenzie's merchandise.McKenzie's latest venture: becoming an author! We chat about her process of writing, what inspired her to start the book, the determination it took to make her vision come true and what readers can expect from the book.McKenzie's advice to those looking to get into professional wrestling as a backstage correspondent or ring announcer, as well as advice for those looking to start their own business.Follow McKenzie on Social Media and pre-order her book, Threads of Triumph Now!Instagram: https://www.instagram.com/mckenzienmitchell/Twitter: https://x.com/mckenzienmitchPreorder Threads of Triumph: https://bio.to/threadsoftriumphMusic: Prod. by Jay 808Logo Design: Joy Lin ArnessTwitter: www.twitter.com/wwdcastInstagram: www.instagram.com/wwdcastTik Tok:https://www.tiktok.com/@wwdcastFacebook: https://www.facebook.com/wwdcast/Merch: www.shop.wrestlingwinedownlv.com
Páskabingo Hæ Hæ verður 29. Mars klukkan 15 á Pardus.isKolbrún Ást var aftur með okkur í dag og sagði hún og Helgi meira frá ferðalagi þeirra um Púertó Ríkó. Helgi lenti í einum risa misskilningi á leiðinni heim til Íslands. Hjálmar segir frá því hvernig hann fyrirbyggir allt vesen áður en hann fer á flugvelli.IG: helgijean & hjalmarorn110Takk fyrir að hlusta - og munið að subscribe´a!Þættina má finna inni í áskrift á pardus.is