Podcasts about Nano

Recognizing failure patterns is the closest thing an innovator has to seeing the future.   If you can recognize the patterns, you can change the future, because most failures are not original. They repeat, and that repetition is the pattern: the same handful of patterns reappearing in one organization after another, decade after decade.   This one stings a little.   In 2011, Bill Geiser told me, almost word for word, how the project we had spent the past two years building was going to fail. He saw the pattern before I did; I heard him say it, and I never forgot it.   The failure still happened.   This is not a pre-mortem. A pre-mortem imagines new ways your plan could fail. Recognizing failure patterns means learning from failures that have already happened elsewhere and spotting the early signals before you repeat them, while there is still time to act.   By the end of this episode, you will have four patterns in your own library, a five-minute way to check any project against them, and the four steps to take when you find one.   Let's get into it. The Smartwatch We Killed In 2004, Fossil hired a watch-technology executive named Bill Geiser to help build innovative technology for their watches. A few years later, he and I started spending real time together, me as HP's CTO, him running watch technology at Fossil. Between us, we had an idea we both believed in: a connected wearable, years before anyone used that phrase, co-innovated by HP and Fossil, with each bringing its expertise.   Fossil named the resulting platform the MetaWatch. It ran an ultra-low-power processor with a 96 by 96 display, an accelerometer, and Bluetooth. It was designed to last a week on a charge, and it shipped with a full developer kit so anyone could build apps for it. We revealed the partnership in March 2011, at an HP event in China. And between us, we had the one thing Apple did not have in 2011: distribution. HP held roughly ten percent of consumer-electronics shelf space. Fossil sold through twenty thousand retail stores that carried its watches.   Bill saw the ending before anyone. He told me in 2011: "Phil, I wouldn't be shocked if Apple evolved the Nano to take advantage of this space. They'll legitimize it in consumers' minds worldwide."   So the man building the watch spotted the failure in advance, out loud. And naming it changed nothing.   The signs kept arriving in plain sight. HP went through three CEOs in thirteen months. In August 2011, Leo Apotheker killed HP's consumer mobile strategy and WebOS, which removed the platform that made a smartwatch matter to HP at all. The battery lasted three to four hours against the original target of a week. We ran month-long approval cycles for changes that startups could implement in days.   Then I went out on medical leave. When I came back six weeks later, HP had killed Palm, WebOS, and the connected wearable project.   Here is what the ignored warning turned into. The Apple Watch shipped in April 2015. It sold 4.2 million units in its first quarter, and by that fall Apple was selling three out of every four smartwatches on the planet. The market we walked away from grew from three hundred thousand units in 2012 to forty-five million by 2018, and Apple held fifty-one percent of the market share.   The idea was never the hard part. It never is. The hard part is committing. What Recognizing Failure Patterns Means Nothing that killed the MetaWatch was new, and none of the signals were faint. They were loud; they were ignored, and each one was a pattern that has killed projects for decades.   Recognizing failure patterns has two halves. The first is building a library of how failures repeat. The second is matching the situation in front of you against that library, and forcing what you find into an actual decision while the fix is still cheap. Bill did the first half. Neither of our companies did the second, and the gap between those halves is where the Apple Watch came from.   Here are four entries for your library, straight from this one failure. Each one ends with a test question. By the end, you will have a four-question checklist, and then I will show you what to do when a pattern shows up. Pattern 1: Success Protects Itself Fossil's traditional watch business grew from $950 million in 2004 to $3.25 billion by 2013. It was tripling while we were building the thing that might replace it, and that growth made cannibalizing it politically impossible. Fossil never had to kill the MetaWatch outright. Fossil positioned the watch as a two-hundred-dollar development platform, something no ordinary customer would ever be handed at a retail counter.   When we constrain what we're innovating so it doesn't risk the present, we've lost the future.   Test it: Is the new thing priced, staffed, or positioned so that it cannot hurt the current thing? If the answer is yes, this pattern is already running. Pattern 2: The Warning That Changes Nothing Bill's warning was specific, early, and exactly right, and it still changed nothing. I heard it directly, and hearing is not the same as deciding: nobody re-ran the plan with "Apple arrives and legitimizes the category" as an input, no roadmap changed, and no budget moved.   Test it: What decision changed after the warning? If the honest answer is none, the warning was never acted on, no matter how many people remember hearing it. Pattern 3: The Problem Nobody Owns A week of battery life was the MetaWatch's central promise, and it shipped at three to four hours. Both companies saw the gap. No one owned fixing it. The hardest problem on the project sat on the seam between two companies, and problems that sit on seams get reported, tracked, and carried forward without ever belonging to anyone who can be asked why the problem is still there. We ran that partnership for two years and never settled whose job it was to lose sleep over the one number that mattered most.   Test it: Who owns the hardest problem, by name? If the answer is a partnership, a committee, or a pause, then nobody owns it. Pattern 4: The Pace Mismatch Earlier, I shared that we ran month-long approval cycles for changes a startup could implement in days. That is a pacing problem: the organization's internal pace versus the market's. A smartwatch in 2011 was a fast-moving product running through slow-moving machinery, and no amount of talent inside the project could close that gap. The delay was structural, not personal.   Test it: How long does one small change take to approve, against how fast the market moves? Time a real one. Do not estimate it. Five Minutes on a Project That Died The four patterns are the start of your library. Before you use it on a live decision, test it on a dead one.   You have a dead project in your past. Everybody does. Pick the one that still stings and give it five minutes against the four test questions.   Was an existing success being protected while the project starved, in pricing, staffing, or positioning? Did people raise a warning, and what decision changed after it was said? Who owned the hardest problem, and can you name the person? And how long did a small change take to approve, against how fast the market was moving?   When I run the MetaWatch through those four questions, I find all four patterns. Your project will probably show fewer. Every pattern you find is one you will now recognize as it happens on the project you are working on right now. The Four Steps When You Spot a Failure Pattern Which brings up the harder half of the skill, because recognition alone did not save us. Suppose you had been standing next to me in 2011, holding all four of these patterns. It would not have been enough. Being right about the future means nothing without the organizational machinery to act on that insight.   So when a failure pattern appears on a live project, follow this sequence.   Step one: Say the failure pattern out loud, in the room where the decision lives. Not in the hallway afterward. Use the pattern's name.   Step two: Get it onto the decision memo. A warning that lives only in conversation changes nothing. Write the pattern and what it costs into a document that will drive a decision.   Step three: Attach an owner. If you identify a critical problem, assign it to one person. Not a team or an organization. Someone you can ask next sprint why the problem is still there.   Step four: Attach a date. Being early provides an advantage, and a failure pattern without a date on it fades unnoticed.   Bill was right for four years, and Apple was the one who acted on it. That could have been us if we'd had the organizational courage to back our vision with meaningful resources. Conclusion You now have what nobody handed me in 2011: four patterns of failure, a five-minute check, and the four steps to run when you spot one. What you do in the room where the decision lives is the part Bill's warning never got. Additional Resources How HP and Fossil Handed Apple the Smartwatch Market: The inside story of vision without execution: why being right about the future means nothing without the courage to act on breakthrough insights. https://www.philmckinney.com/how-hp-and-fossil-handed-apple-the-smartwatch-market/ The story of MetaWatch with its founder, Bill Geiser: https://www.philmckinney.com/the-difference-between-a-good-idea-and-a-great-idea-is-the-timing-s11-ep25/

Jump in with Carlos Juico, Gavin Ruta, Josh Nugent and Denzel Vincent on episode 300 of Jumpers Jump. This episode we discuss: Adam Silver, Demonic Hollywood artist, Ray J theories, Deal with the devil theory, Shapeshifter theory, Celebrity blonde theory, Mythical creatures, Aliens theory, Epstein Alien origins, Zorro ranch investigation, Micheal Rubin all white party, Palm Beach Pete, Marvel superheroes, Superpowers, Kernal Sanders is Japanese theory, The KFC curse, Josh and Denzel get hexed, Mr. Beast plane smuggling, N3on undercover theory, Worst jails, Reddit for ai agents, Nano dust patent, Love theory, Ai tech theories, Sun power theory, Cat theories, Doubling down and much more! Thanks to our Sponsors: Start your $1 per month trial at https://www.shopify.com/jumpers New customers get 40% off with code JUMPERS at https://www.gld.com Follow the podcast: @JumpersPodcast Follow Carlos: @CarlosJuico Follow Gavin: @GavinRutaa Check out the podcast on YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bit.ly/JumpersJumpYT⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today Nemo attempts to push Sirius to prestige 3 with his broken clone spawning nano power. Make sure to leave a 5 star review on Spotify and leave a comment to be featured in a future episodeYT- nemoBSEmail- eternalbrawlpodcast@gmail.com Main Club- Eternal Legion | #2UGJVQJVV2nd Club- Eternal Army | #R9YJCUVU

Cet été, Silence on joue donne une nouvelle fois la parole à ses auditrices et ses auditeurs durant six épisodes spéciaux. Dans le cinquième volet, on rejoint Speranza pour affronter les redoutables arcs dans le monde post-apocalyptique d'Arc Raiders. Dans la deuxième partie, on automatise à outrance des chaînes de production dans le monde de Satisfactory.Et pour cette grande expérience collective, nous avons toujours le plaisir d'accueillir durant tout l'été Ginred Le Mag qui est devenu un vrai podcast. Vous pouvez vous abonner par ici : https://ginredlemag.lepodcast.fr/ Chapitres :0:00 Arc Raiders1:06:16 Ginred Le Mag : Tall Trails1:08:38 SatisfactoryRetrouvez toutes les chroniques de jérémie dans le podcast dédié Silence on Joue ! La chronique jeux de société (Lien RSS).Pour commenter cette émission, donner votre avis ou simplement discuter avec notre communauté, connectez-vous au serveur Discord de Silence on joue!Retrouvez Silence on Joue sur Twitch : https://www.twitch.tv/silenceonjoueSoutenez Silence on joue en vous abonnant à Libération avec notre offre spéciale à 6€ par mois : https://offre.liberation.fr/soj/Silence on joue ! C'est l'émission hebdo de jeux vidéo de Libération. Avec Erwan Cario et les auditeur·ices de SoJ : Melo, Nano, Smy, Damsvador, Lonewolf, MrKortexVal0200, DidCRÉDITSSilence on joue ! est un podcast de Libération animé par Erwan Cario. Cet épisode a été enregistré le 29 juin et le 24 juin 2026 sur Discord. Réalisation : Erwan Cario. Générique : Marc Quatrociocchi. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode, Ray Cochrane breaks down NVIDIA’s case for world action models, the shift that swaps a robot’s picture-describing backbone for one trained to predict what happens next. He also covers Perseverance closing in on the off-world driving record, a derelict SpaceX rocket stage hitting the Moon, and Anthropic’s rework of Claude Fable 5’s biology safeguards. Finally, he digs into Gemini Omni, Google’s undisclosed trip-planning rankings, the Danube’s record low, and iFixit’s call for Apple to unlock the iPad bootloader. – Want to start a podcast? It’s easy to get started! Sign up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens with a personal update. Wildfires in Eastern Oregon made for a rough week of heavy smoke, and a local building burned down, which he calls a real tragedy. Meanwhile, his work at Blubrry has centered on PowerPress fixes, where reproducing customer-reported bugs remains the biggest headache. Support tickets rarely carry enough detail, and the errors themselves are often too vague to diagnose. Consequently, he is leaning toward a stronger logging and error layer, and he asks experienced developers to share what actually works for them. Beyond VLAs: NVIDIA’s Case for World Action Models The featured story comes from NVIDIA’s developer blog, and it answers a question sitting underneath this year’s robot news. Why do robot arms fall apart the moment anything changes? Move a cup six inches, swap its shape, or change the lighting, and a policy that worked perfectly in training fails. The answer, according to NVIDIA, is not the robot but the model underneath it. For the last few years, the dominant approach has been the vision-language-action model, or VLA, built on an AI that originally learned to describe pictures. Consequently, it recognizes a banana it has never seen, in a kitchen it has never seen, yet it has no idea what that banana will do next. As the article puts it, such a model “does not learn what happens to a mug when the gripper closes, how a towel folds, where an object lands when released.” Because the physics never arrives with the model, every scrap of it has to come out of hand-recorded demonstrations. The proposed fix swaps the foundation entirely. Instead of building on a model that learned to caption images, a world action model builds on one trained to predict how video continues, so the physics is already paid for. Notably, these models output an action and a prediction of what the robot’s cameras will see, in the same pass. Cochrane likens it to forethought, imagining your own motion as you make it. NVIDIA’s implementation is Cosmos 3, pretrained on roughly 767 million images and 348 million videos of real-world dynamics. It ships in 4, 16, and 64 billion parameter sizes named Edge, Nano, and Super, and it runs in real time on a Jetson Thor board bolted to the robot itself. Cochrane recalls his dad owning one of those Jetson boards, and he asks anyone working in robotics to explain how the throughput figures fit together. However, he closes on an open question: where did 348 million videos actually come from? For deeper detail, he points listeners to the source article and to NVIDIA researcher Jim Fan. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Perseverance Closes In on the Off-World Driving Record Ars Technica reports that NASA’s Perseverance rover is about to take the record for most distance driven on another world. The mark sits at roughly 28 miles, set by NASA’s own Opportunity rover across more than fourteen years before it went quiet in 2018. As Cochrane works out on air, that averages about two miles a year. Perseverance will pass it in roughly five years instead. The difference is a navigation system called AutoNav. Since a radio signal takes several minutes to reach Mars, earlier rovers crept along pre-plotted routes and stopped every half meter to think. Perseverance carries a second computer dedicated to processing what its cameras see, so it plans while the wheels keep turning. Consequently, about ninety percent of its driving is autonomous, against roughly ten percent for Curiosity, and it averages around 110 meters an hour rather than 15 to 18. Cochrane notes researchers finding the rover at planned sites days ahead of schedule, and he wonders aloud whether world action models might drive the next one. A SpaceX Rocket Stage Slammed Into the Moon Next, Smithsonian Magazine covered the Falcon 9 upper stage that struck the Moon on August 5. That stage flew back in January 2025, carrying Firefly’s Blue Ghost and ispace’s Resilience landers, and it was never meant to end up there. SpaceX’s Julianna Scheiman says a mixture of solar activity and gravity nudged the derelict onto a lunar path after nineteen months adrift. Four tonnes of dead hardware arrived at about 5,400 miles per hour. Nobody watched it happen, and the reason is a nice bit of physics. It struck sunlit ground near a crater called Einstein, and no impact flash has ever been detected on the lit part of the Moon. However, the instruments caught the aftermath. South Korea’s Danuri orbiter imaged a dark new mark, while the European Southern Observatory’s Very Large Telescope picked up sodium and lithium in the plume, the lithium possibly shed by the rocket itself. Astrophysicist Jonathan McDowell quipped that he has “Sir Isaac Newton’s personal assurance that it did indeed hit the moon,” while planetary scientist Hannah Sargeant warns against making a habit of it. Cochrane points out the Apollo landing sites are still sitting up there. Anthropic Reworks Claude Fable 5’s Biology Safeguards Anthropic published a post on how Claude Fable 5 handles biology questions, and the bind is genuine. Biology is the textbook dual-use problem, since the knowledge behind reading your own lab results also helps someone build a weapon. Rather than refusing outright, a classifier watches for risky requests and quietly reroutes them to Claude Opus 5, a capable model without Fable 5’s biological depth. Anthropic calls that mechanism a fallback. The trouble was how often it fired on people doing nothing wrong. This update cut biology-related fallbacks by roughly 85 percent in Anthropic’s own testing, with expected overall drops of 67 percent on Claude.ai and 55 percent on Cowork. Genuinely dual-use territory still trips it, and Anthropic names virology, toxicology, and molecular design. Cochrane hit the old behavior himself and found it irritating, so he welcomes the refinement. Even so, he would rather see a false positive than a model helping someone produce a virus. Five Builders Put Gemini Omni Through Its Paces Google highlighted five builders working with Gemini Omni. Omni is a model rather than an app, and it generates video from text, images, other video, or audio, while also editing footage you already have. Google claims it “combines an intuitive understanding of physics with Gemini’s real-world knowledge,” citing gravity, kinetic energy, and fluid dynamics. As Cochrane observes, that is the same bet NVIDIA is making with robots, only pointed at video generation instead. He also flags a naming collision worth knowing about. NVIDIA calls its architecture an omni-model while Google’s product is simply Omni, two different things landing in the same week. Additionally, he encourages listeners to watch the demos, though he still senses a disconnect in AI-generated video and concedes that knowing its origin may color the impression. Gemini Wants to Plan Your Vacation Another Gemini piece, a how-to on trip planning, drew Cochrane’s sharpest take of the night. Gemini plugs straight into Google Maps, Flights, and Hotels, pulling live locations, reviews, and prices to build an itinerary. Switch on a feature called Personal Intelligence, and it reads across your Google apps, turning a messy trip-planning email chain into a clean master plan. Clever, but he calls it extremely concerning. Once these become services, he expects partnerships to quietly push particular hotels, restaurants, resorts, and destinations onto users. Notably, Google’s post never explains how any of it gets ranked, and the words sponsored, ad, affiliate, commission, and paid never appear once. There is no disclosure of a commercial arrangement, and no denial of one either. Meanwhile the post hands readers off to Viator to book tours without describing that relationship at all. Cochrane suspects the real effect shows up slowly, in the shape of small businesses continuing to disappear. The Senate Blocks a Rule on Who Controls Research Money Science reports that the Senate passed a temporary spending bill in the early hours of Saturday the 8th. The Senate’s version carries a one-paragraph rider the House version lacks, and that rider stops the White House Office of Management and Budget from finalizing a set of proposed rules. OMB builds the president’s budget, clears agency regulations, and controls how approved money actually reaches agencies. The bill itself is a stopgap, which prevents a shutdown without settling anything. The rules reach every organization that takes federal money, a pot of roughly $1.1 trillion across 41 agencies, about $150 billion of it research grants. They would let political appointees second-guess which grants get funded, allow awarded grants to be pulled when the work does not match presidential priorities, and put several countries off limits for research partnerships, China first among them. Senator Susan Collins pushed the block through after telling OMB director Russell Vought the proposal was deeply flawed, noting nearly 500,000 public comments, the vast majority opposed. However, the 90-6 vote is not law. Both chambers are on recess. Vought reportedly said the rule would not have been finalized before December anyway, and the block only lasts as long as the stopgap, which expires December 11. The Danube Falls to a Record Low ESA published a pair of Copernicus Sentinel-2 satellite images showing the same bend of the Danube, 45 kilometers upstream of Budapest, photographed a year apart. Cochrane calls the before-and-after shocking, going from green to brown completely. Wire reports put the Budapest gauge near 10 centimeters at the start of the month, about four inches of water, against a previous record of 33 centimeters set in 2018. The knock-on effects arrived fast. Budapest ran short on both power and drinking water, while the shrinking flow concentrated pollution in what remained. Romania hit record lows on its own stretch as well. Cochrane hopes the recovery is already underway. What a Heatwave Actually Does to the Power Grid That river story runs directly into a Carbon Brief factcheck. Nuclear plants cool themselves with river water, so when the Danube dropped, plants in Hungary and Romania throttled back and pulled roughly 2.5 gigawatts off the grid. Romania declared a state of alert in its energy sector, and its navy reportedly used explosives to steer more water toward a plant intake. Carbon Brief then walked through what heatwaves do to each way of making electricity. Nuclear loses efficiency when the cooling water is already warm, though its shutdowns are mostly regulatory rather than mechanical. Gas turbines pull in less air because hot air is thinner, costing capacity. Wind falls off hardest, since a heatwave is a big stalled dome of high pressure and nearly still air. Solar is the surprise: cells genuinely do get less efficient as they heat up, yet total output climbs anyway, with UK solar up 46 percent during a four-day June heatwave against the week before. Butterflies Are on the Move Everywhere A new study in Nature Ecology and Evolution covered 1,758 butterfly species, roughly one in ten of every species we have named. The team pulled 6,182 records from 105 countries, reading non-English research alongside 68 expert write-ups. Four out of five species pushed into new territory, and about 79 percent of the logged shifts traced back to climate change and extreme weather. Separately, 27 percent saw their range shrink somewhere, and 22 percent moved up or down a mountain slope chasing cooler air. That sounds like good news, and it really is not. Expansion means a boundary moved, not that butterflies are thriving, since a species can push its northern edge forward while its southern edge quietly collapses. Lead author Shawan Chowdhury says the shifts turn up on every continent where butterflies occur. Additionally, monitoring gaps leave Central Africa, Southeast Asia, New Guinea, and the Amazon Basin barely counted at all. Cochrane recalls hearing years ago that butterflies were disappearing in Hawaii, and he invites listeners spotting unfamiliar species locally to contribute what they see. Primates Make Friends Across Species Cochrane called this one a fun find. A study in the journal Primates, led by Cyril Grueter at Oxford, gathered 427 documented cases going back to the 1970s across 88 primate species and 127 partner species. Play and grooming dominated at 139 and 136 cases, alongside carrying, huddling, food sharing, and even adoption. Primates usually started the interactions themselves, with juveniles playing most, adult females handling grooming and caregiving, and adult males least likely to join in. The examples are remarkable. Japanese macaques on the island of Yakushima groom sika deer and climb on their backs, a silverback gorilla cradled a tiny wild bushbaby, and wild capuchins in Brazil adopted an infant marmoset in a bond that held for weeks. However, Grueter rejects the pet-keeping headline and prefers the hedged term proto-pet keeping. The actual claim is smaller and more interesting: curiosity, tolerance, caregiving, and play have roots running far deeper than humans do. iFixit Tells Apple to Unlock the iPad Finally, an opinion piece from Charlie Sorrel at iFixit struck a chord. This fall, iPadOS 27 drops support for a batch of older iPads, including the 8th-generation iPad, the third-generation Air, the fifth-generation mini, and the first-generation iPad Pros. Cochrane owns one of those Pros and reports it still works fine. Those devices will not break, but they stop getting OS and security updates until apps abandon them and the battery gives out. The obvious second life is Linux, except the bootloader stays locked. Apple’s iBoot will not load anything else, unlike a Mac, a PC, or most Android phones. Sorrel argues it “should be a user choice, not a vendor choice,” and Cochrane agrees flatly. You own the device, so why does Apple decide what runs on it? He compares the situation to jailbreaking, and he suspects most consumers have never pushed back simply because it never occurs to them. Nevertheless, he hopes an unlock eventually breathes new life into hardware that still works perfectly well. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com, subscribe to the newsletter, and grab a modern podcast app at podcastapps.com. He thanks GoDaddy for over twenty years of keeping the show on the air, and he signs off wishing listeners a wonderful evening. The post The Robot That Imagines First #1872 appeared first on Geek News Central.

Featuring: Spider-Man Brand New Day, Hawk-Girl Summer, What If… Kraven Survived, Queen in Black, Nano, Horror of Godzilla, Jughead Piemageddon, Black Star, Dirt Beneath the Devil Weekly Reviews: DC Batman/Superman: World's Finest 2026 Annual by Mark Russell, Clayton Henry, Pedro Estouco Mark Waid, Tyrone Finch, Pat Boutin, Romulo Fajardo Jr. DC's Hawk-Girl Summer 1 by Meghan Fitzmartin, Meghan Hetrick, Nick Filardi Trick Weeks, Nikola Cizmesija, Francesco Segala Josh Trujillo, Andrew Dillon, Big Doors Studio Dacy Lim, Rowan MacColl Andre Frattino, Rafael Perez, Luis Guerrero Siobhan Chiffon, Cathy Le Ramon Perez Cavan Scott, Rafael Loureiro, Alex Guimaraes Detective Comics 2026 Annual by Tom Taylor, Nicola Scott, Annette Kwok Dave Wielgosz, Fran Mariscal Justice League: Knight Vision Special by Mark Waid, Joshua Williamson, Miguel Mendonca, Romulo Fajardo Jr. Tate Brombal, Sami Basri, Adriano Lucas Superman 2026 Annual: Year One Thousand 1 by Joshua Williamson, Eddy Barrows, Adriano Lucas Joshua Williamson, Yasmine Putri Marvel Predator vs. Planet of the Apes 1 by Greg Pak, Alan Robinson, Espen Grundtjern Queen in Black 1 by Al Ewing, Ivan Coello, Ze Carlos, Guru eFX Queen in Black: Defenders of Light and Dark 1 by Al Ewing, Tom Waltz, Ze Carlos, Fer Sifuentes-Sujo Queen in Black: Hela 1 by Al Ewing, Carlos Magno, Espen Grundtjern Rocket Raccoon: Rocket Rewind 1 by Christos Gage, Todd Nauck, Rachelle Rosenberg Mackenzie Cadenhead, Enid Balam, Fer Sifuentes-Cujo J.M. DeMatteis, Shawn McManus, Luis Guerrero Bill Mantlo, Keith Giffen What If…? Spider-Man (What If Kraven Survived His Last Hunt?) by J.M. DeMatteis, Yildiray Cinar, Alex Sinclair Marvel Unlimited Infinity Comics: Marvel Meow 39 by Nao Fuji Alien Street Fighter vs. The Valiant Universe Special 1 by Tim Seeley, Alfredo Cardona, Javier Tartaglia Timmy Heague, Rocio Zucchi, Javier Tartaglia Archie Jughead: Piemageddon by Tom King, Dan Parent, Rich Koslowski, Rosadio Pena Dark Horse Nano 1 by Alexandra Grant, Matt Kindt, Natacha Bustos IDW Horror of Godzilla 1 by Ethan Parker, Griffin Sheridan, Tristan Jones, Josh Burcham Mad Cave Dirt Beneath the Devil 1 by Dan Panosian, David Ferracci, Lee Loughridge Speed Racer: Tales From the Road – The Rook 1 by: Jim McCann, Francesco Scimonelli, Marissa Louise Alessio Zonna Jordan Morris, Lorenzo Susi, Marco Pelandra Titan Black Star 1 by Kristin Kreuk, Peter Mooney, Eric Putzer, Joe Bocardo, Valentina Bianconi OGN Countdown Frozen: Snowgies Sleepover by David Booher, Lucinia Tozzi, Silvana Brys Jackson's Wilder Adventures Vol 3: Pals and Parents by Sarah Davidson Avatar the Last Airbender Chibis Vol 2: Sokka's Boomerang Class by Kelly Leigh Miller, Ruka Ito Trailer Park Warlock Vol 2 by Matthew Rainwater Legend of Korra: Kya the Secret of the Sand by Kiku Hughes, Alexandria Monik, Diana Sousa The Girl Who Loved Monsters by Insha Fitzpatrick, Ashley Robin Franklin Hand Me Down by Damian Alexander Kingdom Unraveled: A Closely Knit Graphic Adventure by Mariana DiMercurio Dare You to Dance by Rebecca Mock TV My Adventures With Superman 3.8 X-Men '97 2.7 Movies Spider-Man: Brand New Day Additional Reviews: Star Trek's "Event Horizon" News: Omninews, Wonder Man cancelled, two Nightmare on Elm Street reboots coming, Samara Weaving is Emma Frost, no go on Booster Gold Trailers: Jumanji-Open World, Wicker Comics Countdown (29 July 2026): Feral 25 by Tony Fleecs, Tone Rodriguez, Trish Forstner, Brad Simpson Red Roots 4 by Lorenzo De Felici Nano 1 by Alexandra Grant, Matt Kindt, Natacha Bustos Geiger 24 by Geoff Johns, Gary Frank, Brad Anderson Superman 2026 Annual: Year One Thousand 1 by Joshua Williamson, Eddy Barrows, Adriano Lucas, Yasmin Putri Jughead: Piemageddon 1 by Tom King, Dan Parent, Rich Koslowski, Rosadio Pena Mortal Thor 13 by Al Ewing, Juann Cabal, Matt Milla What If…? Spider-Man 1 by J.M. DeMatteis, Yildiray Cinar, Alex Sinclair Dirt Beneath the Devil 1 by Dan Panosian, David Ferracci, Lee Loughridge Rocket Raccoon: Rocket Rewind 1  

In this episode, Danielle Wiley of Sway Group and Casey Benedict explore the rise of nano influencers, the realities of influencer marketing, and the misconceptions surrounding small-scale creator programs. They debunk myths, discuss scalability, and share insights on effective influencer strategies. Learn more about your ad choices. Visit megaphone.fm/adchoices

Don’t miss the AI partnership revolution Subscribe to our Newsletter: https://theultimatepartner.com/ebook-subscribe/ Check Out UPX: https://theultimatepartner.com/experience/ In this episode, Vince Menzione sits down with Amit Sinha from WorkSpan and Marc Monday from ServiceNow to dissect the rapid evolution of AI-native partnerships and the shifting dynamics of the channel ecosystem. They explore how the hyperscaler co-sell model has transformed into a complex strategy of asymmetrical collaboration that demands unprecedented speed, simplicity, and scale from publishers. By integrating AI agents to orchestrate workflows, manage high-risk renewals, and automate low-dollar deals, companies can activate their sellers and drive explosive, exponential growth in their partner programs. https://www.youtube.com/watch?v=ZP4cFBcCI9Q Key Takeaways The partner channel is no longer just a piece of the strategy; it is the entire strategy for winning in 2026. Modern co-selling is an asymmetrical collaboration where publishers must often do more than fifty percent of the heavy lifting. Implementing AI agents within partnerships can lead to massive revenue impacts, such as a 24% higher lift on renewals for companies like Boomi. True scaling requires moving beyond traditional time-and-materials consulting toward outcome-based frameworks for customers. Activating sellers through continuous AI-driven account orchestration is the ultimate key to unlocking exponential ecosystem growth. The market is moving faster than ever, necessitating that partner enablement and roadmaps shift to agile, sprint-based cycles rather than long-term rigid plans. If you're ready to lead through change, elevate your business, and achieve extraordinary outcomes through the power of partnership—this is your community. At Ultimate Partner® we want leaders like you to join us in the Ultimate Partner Experience – where transformation begins. Key Tags AI native, ecosystem shifting, hyperscalers, Work Span, ServiceNow, lifecycle incentives, cloud native, consumption led, DocuSign, Gong, Boomi, workflow orchestration, asymmetrical collaboration, CRM integration, marketplace private offers, high propensity, seller activation, agentic solution, outcome based consulting, LLM control tower. Transcript Amit Sinha and Marc Monday Audio Episode [00:00:00] Marc Monday: We have to be soup drop dead simple and we’re gonna talk about that nice. In this world. It has to be simple. Even though under the covers it’s very complicated, [00:00:10] Vince Menzione: you can feel it happening. The ecosystem is shifting beneath us. The way Hyperscalers are partnering, how AI is remaking the channel and what it means to win in 2026. [00:00:21] Vince Menzione: Welcome to the Ultimate Partner Podcast. I’m Vince Menzi, own your host. And each week I sit down with leaders at the intersection of technology, partnerships and outcomes. The voices shaping how ecosystems actually work. We talk about what’s real, what’s changing, and what it takes to lead in this era where the partner channel isn’t just part of the strategy. [00:00:43] Vince Menzione: It is the strategy because being in the room [00:00:46] Marc Monday: changes everything. Let’s start. [00:00:52] Vince Menzione: And, uh, two incredible friends up on, uh, up on stage. But I think I’m just gonna have my, one of my first friends come up. Amit Sinha from Work Span, a great, great friend and supporter. We’ve been together since the beginning, since the very first ultimate partner in Dallas when we commandeered Microsoft facility. [00:01:12] Amit Sinha: Yeah, [00:01:12] Vince Menzione: you have a little bit that you’re gonna share first and then we’re all gonna come join you. [00:01:16] Amit Sinha: Absolutely. And [00:01:17] Vince Menzione: then we’re gonna have my other great friend, mark Monday on us on stage with us as well. So yeah, [00:01:21] Amit Sinha: what a privilege. Uh, what a privilege. Vince, you do an amazing job as a community and, uh, incredible. [00:01:27] Amit Sinha: Shout out to Alexandra. Uh, we work together at Cisco talking about lifecycle incentives across the whole lifecycle. So amazing work done there as well. So. Very quickly, I’m gonna talk to you about AI native partnerships. A quick motivation. That’s me. Of course, we are using Nano banana to cover that. [00:01:45] Amit Sinha: That’s me looking up a Yellow Pages. I will date myself. That’s, uh, McDonald’s coming to India and me looking up, uh, the nearest McDonald’s, right? And this is me now booking Uber Eats Ma and I had this real experience yesterday night. I flew in from Sapphire in Orlando and I was hungry. Ma said, let’s, let’s get Uber Eats. [00:02:06] Amit Sinha: And we had a great. De this is digital native, right? We had no idea the world would transform this way, but completely new ways of working. Okay. Um, and, uh, another great experience that Mike, my co-founder and CEO seated the back half, I spent a decade at SAP, uh, doing hana, which was a database product, but it was on premise. [00:02:28] Amit Sinha: We had these racks and our whole gig was actually take an amazing HANA database with this server mounted, deployed. Wow. The CIO and the CFO, that this is the most amazing thing. And they would not say, Hey, you can’t take that box away, because it’s such a good insight that I get for my, uh, analytics product, right. [00:02:47] Amit Sinha: So that’s the old way. And look at us. We are all cloud native, right? Cloud has gotten to a place where it’s not just about infrastructure, running things and meters and stuff like that in a scalable way. It is a also source of innovation. New capability, new business model, consumption led business model. [00:03:07] Amit Sinha: Whole new way of working, right? So this comes to the new world now, what does AI need to look like? We heard all the amazing speakers talk about, uh, you know, the promise of ai, right? But you have a choice. Uh, you have a choice to do it yourself or, uh, especially as partnership professionals, right? When you do it yourself, you have this chat bots and stuff that you get from all the major. [00:03:33] Amit Sinha: You can always get more productive, but that’s about half an hour saved. The bar is too low there. So this is an amazing piece of, uh, research put together by all the experts. Vince, thank you for doing that. Uh, we had Jay McBain lend his voice as well. We had Rob Moyer with all his, uh, decades of, you know, insight and wisdom as to what would the future with AI look like, uh, encapsulate in that. [00:03:57] Amit Sinha: So go ahead, take a picture. Uh, this is not gated. Um, beautiful piece of content has also new insights from leading firms. AI native, I would dare say frontier firms who are like DocuSign or Gong who are really pioneering AI native partnerships, Boomi, and how they’re powering their renewal business case across AWS Google and Microsoft Marketplaces. [00:04:21] Amit Sinha: Uh, this really talks about that. And here, uh, this is the thought leadership that we bring to the table. And again, this is not a vendor pitch. This is, you know, as you elevate from the low bar about making yourself productive where you’re cut and paste, uh, into a chatbot, your context so that you can get a better co-sell email out there. [00:04:40] Amit Sinha: You DIY, this thing. But if you think of working with works span, these are three things that you should think about. First is imagine instead of cut and paste, you have your entire partnership context right there. And because the context is there, the right better together story, the right case study, the right partnership documents, the right opportunity and accounts that intelligence not only informs you, but also your team in a, in an extended way, and even your partnership in an extended way that’s fully automated. [00:05:13] Amit Sinha: Second is it’s not just informing you or sensing you, it is also acting. And I think this is where there are, you know, death by a thousand cuts if happening in the world where all this time gets taken up, right? But if you have an agent that scales in ly, whether you are big mature partnership, you got lots and lots of accounts and opportunities to cover, the agent can do that. [00:05:36] Amit Sinha: Or if you’re a new partnership, how do you get to market quickly? With the right assets, the right get to market content. This can work both ways. And lastly, how do you secure this partnership is done in trust. So you should have an agent for every partnership, uniquely your partnership with Microsoft, your partnership with ServiceNow, your partnership with uh, AWS and Google. [00:05:59] Amit Sinha: They all get a different agent. And the point here is these agents can work in a circle of trust and the boundary that gets established. So via work span, come talk to us outside. And with that, Vince, let’s uh, bring Mark along. Come on, mark. [00:06:17] Vince Menzione: Alright. I am gonna have you and then Mark, uh, yeah. Want mark in the middle? [00:06:22] Marc Monday: Oh, uh oh. [00:06:24] Vince Menzione: So, uh, let me move over so I get back to the picture slide. Look at those two handsome gentlemen up there. Uh, thrilled to have you Mark as well. Uh, for those of you who don’t, because you’ve been, you were just in Boca with us this Yeah. This winter. [00:06:39] Marc Monday: That’s right. [00:06:40] Vince Menzione: And, uh, tell us about your new role at ServiceNow. [00:06:43] Marc Monday: Well, I have the absolute privilege of leading the partner channel at ServiceNow. Yeah. Um, it’s comprised of our partner programs, our program gives and gets, and importantly our five routes to market, our consulting and implementation partners, our resell partners, our service provider partners, our hyperscaler partners, and importantly our build partners. [00:07:03] Vince Menzione: I love it. I love it. So let’s talk about the partner programs and why they’re so critical to ServiceNow right now. [00:07:08] Marc Monday: I think in this world scale is everything, and so this profession has always been a bit mercurial and a little bit of a black box for organizations. What does the partner team do? What does that look like? [00:07:21] Marc Monday: But what we have to continue to do is explain, this is your force multiplier. Working together in collaboration helps you scale beyond your individual numbers. And that’s really the thing that we’re focused on is how do we drive that? And I have three big things that we have to focus on is we have to be sup, drop dead simple, and we’re gonna talk about that [00:07:40] Vince Menzione: nice. [00:07:41] Marc Monday: In this world, it has to be simple. Even though under the covers it’s very complicated. We have to be incredibly fast. Agility is the key in this very moment. And then as I said, with that becomes the scaling element and the force multiplier. [00:07:56] Vince Menzione: And you have spent many, you, well, we both worked at Microsoft together. [00:07:59] Vince Menzione: It’s [00:07:59] Marc Monday: true. [00:07:59] Amit Sinha: Way back way. [00:08:00] Marc Monday: I feel like you’re punking me having me right before lunch. Like I remember back at Microsoft, you did something to me, so I’m gonna have you right before lunch. [00:08:07] Vince Menzione: It’s, no, it’s really terrific to have you. But, uh, so yeah, you, you mentioned about like the change and the specificity and the clarity around it. [00:08:16] Vince Menzione: Amme you have, uh, broken the model, so to speak, working with ServiceNow, right? Yeah. You went from being a traditional. I’ll call it co-sell Engine Marketplace Company. Uh, tell us, tell us, tell us about the innovation that’s going on in the room. We’re working with ServiceNow. [00:08:31] Amit Sinha: Absolutely. Uh, when you think of co-sell, the first mine goes to just co-sell with the hyperscalers, right? [00:08:36] Amit Sinha: Because they kind of pioneered and started this in a unique way. We, of course, got started with Microsoft eight years ago, doing not just co-sell and P two P, but since then AW S and Google right. You would be surprised to know that we do about 10% of AWS sales through work, expand co-sale. Right. Just [00:08:53] Vince Menzione: wow. [00:08:53] Amit Sinha: But that’s where we started. Where we ended up is really looking at all partner types and all motion types and. Mark and I disagreed and he, he really pushed me hard on this. Yeah, and the point here is if you look at your build partner motion, it’s also a co-sell. You build, then you co-sell and go to market, [00:09:11] Vince Menzione: right? [00:09:12] Amit Sinha: If you think about your services partners, right? You have a product. They have amazing last mile services and digital transformation. Uh, capabilities, and again, there’s a coastal motion there. So where we world works span eventually was not just coastal with hyperscalers, but across all partner types. And Mark, thank you for pushing us on that. [00:09:31] Amit Sinha: Yeah. And being a pioneering partner on works span with us. I really appreciate [00:09:34] Marc Monday: this. It was a fun rumble we got there. [00:09:37] Vince Menzione: So why does it matter now for ServiceNow specific? [00:09:40] Marc Monday: Yeah. I mean the reality is, um, I’m gonna say something provocative. We’re, we’re all friends. Yeah. Um, Cosell iss probably a misnomer. It’s not a 50 50 coequal relationship. [00:09:53] Vince Menzione: Yeah. You don’t walk in together holding it back. [00:09:55] Marc Monday: It’s asymmetrical collaboration. I love that. And I want to put the stake in the ground. The co-sell motions that have been created by the hyperscalers are wonderful. The pipe has been opened, but the reality is the publisher. Has to do a lot of the work and the systems are there, but the key is not just connecting into partner center as an example. [00:10:16] Marc Monday: Yeah. But building your own infrastructure and processes. That’s where the magic comes together, and that’s where we really drive scale. And so if we approach co-selling is asymmetrical collaboration and recognizing that you probably need to do more than 50%. When a, when a a team collaborates on co-authoring a book, it’s not like someone’s writing every other word, and it’s exactly 50%. [00:10:40] Marc Monday: Or if a pilot, a co-pilot is with a pilot on a plane, they’re not doing exactly 50% of the work’s, [00:10:46] Vince Menzione: right? No. [00:10:47] Marc Monday: This asymmetric approach requires that we do a lot of the work on our side. Yeah. And that’s where AM and team have really helped us a ton. [00:10:55] Vince Menzione: And ServiceNow was known as a ticketing solution back in the day. [00:10:58] Vince Menzione: Right. And you’ve kind of, I mean, it it, it started that way. [00:11:01] Marc Monday: We have a wonderful heritage 20 plus years Yeah. Of workflow orchestration. Yeah. And in a diggen world, what are we really doing? We’re orchestrating workflows, and importantly, we need to govern those workflows and we need to sequence them in a meaningful way. [00:11:17] Marc Monday: And so our vision of a control tower across any hyperscaler, any LLM, any workflow, any system of record, any time, that’s the key to everything. [00:11:27] Vince Menzione: And so now you’ve taken the work span approach and driven it across what I see, like taking, taking this. This stack, we’ll call it. Yeah, the tower. Yeah. And then applying all of the methodologies and best practices on what we’ve called co-selling and ecosystem orchestration, essentially is what it really is. [00:11:46] Amit Sinha: Absolutely. [00:11:46] Vince Menzione: Yeah. [00:11:47] Amit Sinha: Yeah. And we are thrilled to partner with ServiceNow on this. So ServiceNow, as you guys know, uh, release their CRM product. So we got in at the ground floor on that opportunity and with the now assist agents as well. What we’ve really built is an integration between work span as a platform. [00:12:03] Amit Sinha: And ServiceNow, CRM as well. So if anybody is using that all the way from ServiceNow opportunities to Marketplace private offers, you can a genetically do that. Of course you can do it on Salesforce Hub, spot and Dynamics, but now ServiceNow is an additional option on that. I wanna really double click though, mark, on your point around asymmetry around this, when we say six to seven partners are gonna surround the end customer, right? [00:12:27] Amit Sinha: Yes. They will come at different points in time. Yes. Right? And they will also have different roles to play. So just as you think of a team, right? A soccer team for that matter, or a football team, pick your analogy right. Not everybody’s equal. Right? There’s always a qb. There’s always somebody who holds the prime on the deal. [00:12:45] Amit Sinha: There’s always a role to play. [00:12:46] Marc Monday: Yeah, [00:12:47] Amit Sinha: and I think what’s beautiful about our partnership here is when you look at it applied to services partners, it’s about building billion dollar businesses around ServiceNow, using their competency, but knowing the kind of joint accounts you need to go pursue in order to. [00:13:03] Amit Sinha: You know, burn down their inventory or, or co-sell alongside. If it’s the build partner, it’s about attacking an industry vertical or a joint account there. Right? So knowing very intelligently who to partner with and when to bring them on is the AI orchestration that is key in this partnership [00:13:19] Vince Menzione: here. Yeah. [00:13:19] Vince Menzione: So important. ’cause you, it isn’t single threaded this, this asymmetrical approach. [00:13:24] Amit Sinha: Right. So [00:13:25] Vince Menzione: incredible. You just ha you just finished your big event. I was hoping I did spare Share with us a little bit of your perspective on what’s been changing and how your ecosystem is evolving. Uh, I had Jen Odes in the studio. [00:13:38] Vince Menzione: That’s right. As you know, back in the fall. Fall, go back and watch it again. Yeah, it’s available. Great. Great podcast interview. Yeah. And you’ve been on stage at our events before and we’ve had that as a podcast, but take us how things are changing from the partner type perspective. We have MSPs in the room. [00:13:53] Vince Menzione: I know MSPs are, I know again, hands on the steering wheel. So important, right? Yeah. This technology is so complex. How are you thinking about ecosystem in your role? [00:14:03] Marc Monday: Yeah, I said earlier it’s about simplicity, speed, and scale. Yeah. Last week we had our big customer event knowledge, and on the first day we had our partner event. [00:14:13] Marc Monday: I think the biggest thing that’s happening right now is the pace of change is a bit overwhelming at times. And keeping pace with that is super critical. So what we’ve tried to do and what we announced last week was a lot of investment in giving our channel partners the exact same tools that we use in our business, right? [00:14:32] Marc Monday: So we were really focused on. Um, delivering business value. And so we took our, the solution that we use or the tools that we use for, um, delivering, uh, business value through our partners. It’s an assessment tool. Um, we’ve syndicated that to our partners. We’ve made that available. We also put a little bit of a stake in the ground around what do customers expect right now? [00:14:56] Marc Monday: Um, the time and materials business is gonna be under a tremendous amount of pressure. Some studies are predicting that it could be. Compressed by as much as 30% customers are looking for outcome based. Yeah. Um, they may stop on that journey and, and have something that’s fixed fee. But the reality is everyone is expecting value from the, the technology that they buy, and particularly from an agent perspective. [00:15:21] Marc Monday: We really leaned in on that and published what I think is a pretty good framework mm-hmm. For, um, outcome-based consulting. And we had a couple partners co-author that with us, which was really wonderful. Nice. Um, and it was a nice piece of co-creation and I think I’m seeing more and more of that where we’re co-creating with our partners in ways that we’ve never done before. [00:15:41] Marc Monday: And then I think importantly, security and reliability, um, and managing risk increasingly will be important. In an agentic world, we call it a control tower. We made two fairly big acquisitions in the last several months in terms of both the front door and the back door in terms of securing with the calls that are going into that agent or from that agent. [00:16:04] Marc Monday: To your various data sources. And so for us trying to bring that all together with our strong history of workload flow, orchestration, and then importantly, governance, security, and risk, uh, in the environment today, when you have the potential for hundreds of thousands or even millions of agents touching your core systems of record, [00:16:24] Vince Menzione: how are you thinking about both tiering your partners and also enabling your partners? [00:16:30] Marc Monday: Yeah, I think this is also an, an an area where I’d love to benchmark with y’all, um, because, you know, historically most of us built a fairly robust learning plan for our partners. You’d have a certification and then you would have a competency, and then you, maybe you’d have a wrapper around that competency. [00:16:48] Marc Monday: And it would take a long time, maybe 12 or 18 months to get to that highest level of certification. And it was incredibly robust and that’s wonderful. But when the roadmap is moving so fast that we’re releasing weekly, monthly, and every 90 days, does that type of training still hold water? So I’m proposing that we have both a volume view of how many trained individuals can we get as quickly as possible, and then value. [00:17:16] Marc Monday: And so we don’t want to lose this rich history, what I would describe as the rear view mirror, how we got here, but we also need to approach the windscreen, the windshield, where are we going and what is that opportunity? Yeah, so we have to go a little bit faster when it comes to enablement, [00:17:32] Vince Menzione: so. You, you were in a partnership, you, you call it a built on partnership. [00:17:37] Vince Menzione: Is that, is that the approach that [00:17:38] Amit Sinha: Yeah. ServiceNow has an ISV program called The Built On Partnership. Built On [00:17:41] Vince Menzione: Partnership, yeah. [00:17:42] Amit Sinha: Uh, so we sign onto that program, great accelerators to build lot of coaching and help to build on the ServiceNow platform. It’s not just the CRM integration, where it’s the opportunities and orders. [00:17:54] Amit Sinha: And by the way, this is the best platform or order management out there. So if you think of, uh, of your, if you are a MSP or consulting partner, building orders for your customers, now you want them to land on the marketplace, right? You wanna build that highway. Think of work span, right? So that’s where we came in and we said that if we look at the large number of channel partners, MSPs, who need to do that and are using ServiceNow as a platform to do it, can they genetically do it right from the now CRM? [00:18:24] Amit Sinha: Yeah, so that’s why we came in. The three big use cases we saw, number one was renewals. You talked about Alexandra doing it. Renewals is so [00:18:31] Vince Menzione: important. Yeah. [00:18:32] Amit Sinha: Oh my goodness. If you think about the renewals playbook [00:18:34] Vince Menzione: was so huge, [00:18:35] Amit Sinha: six months, nine, you know, uh, 90 days out, you wanna build that playbook. Mm-hmm. In an agent way when you reach out. [00:18:43] Amit Sinha: And by the way, you heard, uh, die Talk about 462 billion of uncontested Cloud commits out there. Yep. You want your high risk renewals to go against the high propensity to buy accounts. Right. So imagine that matchmaking, if you were to do it humanly, it’ll take you days. If you had an agent to do it like the now assist agent, it can just be done like that. [00:19:06] Amit Sinha: So that was the first use case we went after. Nice. The second one was the low dollar automation. We all have businesses that we land, right? Sub 50 K deals, so we have inside sales teams calling on those customers all day long. So now imagine a Gentech solution where you take all those low dollar deals and again, tie to the marketplace. [00:19:26] Amit Sinha: How can you have express private offers, right, from your opportunities? So those were the two use cases that we went after first and boy, uh, we got some amazing results, [00:19:36] Vince Menzione: I bet [00:19:36] Amit Sinha: for one of these companies, Boomi, we showed that 24% higher lift on renewals. That’s like hundreds of millions in impact just in one year alone. [00:19:46] Vince Menzione: And using AI internally as obviously you’re an AI company. Yeah. How are you thinking about how’s the impact of AI helping the partner function within ServiceNow? [00:19:54] Marc Monday: I, I think there’s this really wonderful opportunity right now where in the short term, we’re taking busy work out of the partner management profession. [00:20:05] Marc Monday: Um, partner managers historically have spent a lot of time chasing data and chasing information and really acting as an ombudsman for the partner within the organization. That work is very quickly. Getting identified. That’s phase one. The thing I’m actually a little more excited about is when it can expand the horizon to have different types of conversations, expanding the partnerships, expanding the multi-partner oppor opportunities. [00:20:29] Marc Monday: That, for me is the next phase, but we, I believe we are the most progressive when it comes to using AI on ourselves and really trying to take the profession to the next level. [00:20:40] Vince Menzione: Nice. Well, I was gonna, I was gonna, I want to go back to the platform again. ’cause you, you’re, you’re starting, you, you mentioned renewals, you’re mentioning some of the success. [00:20:50] Vince Menzione: What else can you point to on the success side, [00:20:52] Amit Sinha: there’s some, uh, amazing research that Sam here has done, uh, with all the data that Wepan has. So we looked at close to a million opportunities and, uh, looked at all the companies doing well. And we actually tabulated how many sellers are engaged on co-sell, not the partnering team, but how many end sellers. [00:21:11] Amit Sinha: This shows the extent of the transformation that the company has gone through, and what we found was amazing. If more than 50% of your sellers have engaged on 10 or more deals, your ecosystem is exponential. It doesn’t need the kind of the doctoring or the prod or the push to kind of say, Hey, use partners. [00:21:31] Amit Sinha: The sellers get it themselves, right? So we, we did this analysis and found like, wow, how can we then get sellers to activate? And the bottleneck that we found was. That there are not enough partner managers to assist every seller in the world. I think that seller activation is the unlock that AI can do. [00:21:50] Amit Sinha: Imagine if you have a partner agent sitting on every account and every opportunity 24 by seven, right? As the world changes, as the world evolves, as the solutions come in. As you know, market events happen. These agents are listening, positioning the right. One of those six partners, or all six partners for that matter, in front of people. [00:22:10] Amit Sinha: So I feel like that that big unlock is seller activation. Yeah. So if all partner managers do with ai, next is one. Of course, get yourself skilled up and yourself productive. But next, direct it to your own internal sales teams and get them activated on your partnerships because that’s where you will move the revenue lever the fastest, in my opinion. [00:22:30] Vince Menzione: Fantastic. What advice do you have for whether they be ISV partners or other partners in the room? ’cause we have partners of all types here. Yeah. What would you have, what would you say to them that need to do differently or better? [00:22:43] Marc Monday: Yeah. [00:22:44] Vince Menzione: Starting today, [00:22:46] Marc Monday: I, I don’t wanna be a broken record, but I would just say go faster. [00:22:48] Marc Monday: However fast you think you’re going, it’s not enough. Yeah. Um, the reality is I think Bill McDermott says like, the market’s never been this fast before and it will never be this slow again. Oh. The reality is this is the pace we run at, and the only way we can run at this pace is if we have the agents doing much of the work for us. [00:23:09] Marc Monday: So I would say go faster. The second thing I would say is automating a bad process is a bad process. So really go and interrogate the workflow that you’re actually thinking about identifying. I’ve seen too many instances from partners and partnerships where you’re taking a bad process and you’re trying to build automation. [00:23:29] Marc Monday: Go back and deconstruct it or start fresh blank piece of paper. Um, again, to my metaphor of the rear view mirror and the wind screen, like it’s, we should honor the past. We’ve done a wonderful job in the last 30 years of building all of this stuff. It’s just not built for this speed. So we need to really stay focused on what’s in front of us. [00:23:49] Vince Menzione: We talked a little bit earlier in one of the other sessions about the playbook and the three year plan, and then maybe moving to sprints. That’s right. How are you, how are you thinking? Are you thinking along the same lines? A [00:23:59] Marc Monday: hundred percent. Uh, we need to move at the pace. Sorry, I’m, we need to move at the pace that the roadmap is moving. [00:24:05] Marc Monday: So if we’re doing weekly, monthly, and quarter releases, we don’t wanna whipsaw the channel. We have to be careful of that. But the reality is, if we’re pivoting our product strategies or release strategies on a quarterly basis. We have to have that same level of agility. That’s where the people who’ve grown up in this profession taking really complicated stuff and making it simple is so critical. [00:24:26] Vince Menzione: Ami, you touched on AI’s role in the partner function. But let’s expand on that. What, what’s it gonna look like in two years? If AI becomes, will it replace the partner function? What, what do you see happening? [00:24:38] Amit Sinha: Absolutely not. I think, uh, we are seeing this evolution and, and you can see the parallels in the engineering organization. [00:24:44] Amit Sinha: When Claude Cursor came along, you saw engineering completely transformed as to how products are now built. How they are, how product managers write PRDs, how engineers actually code this, you know, code the scaffolding all the way to the user experience, how it’s tested. Everything has fundamentally changed. [00:25:01] Amit Sinha: So if you went and asked the engineering leader, how will your role change? Right? Imagine answering that question today, right? It’s fundamentally different. I feel like it’s coming to every function. Whether you want it or not, it’s coming to every function. And the partnership leader will look like the partnership operator that Rob talks about. [00:25:19] Amit Sinha: Yes. It’ll be about orchestrating real time relationships at the account level, at the opportunity level, and being a hands-on person. Uh, i, I would say even at the leadership level or down to partner managers, how can you cover the breadth of accounts and opportunities that’s out there to, for you to prosecute? [00:25:36] Amit Sinha: It’ll not look like I’m managing a partnership. It’ll not look like, Hey, I have to offer an MDF. It’ll not look like, Hey, let’s do A QBR, you know, and get all the teams engaged because that’ll be too late essentially. So this operator perspective is what’s gonna change just as it changed in engineering, it’s gonna happen in partnerships [00:25:56] Vince Menzione: perspective as well. [00:25:57] Marc Monday: Big plus one on what Rob’s talking about. I, I, I’m a big fan of that and I love this idea of using what’s happening in the developer world as an analog for where we’re going. Yeah. Um, I met a product manager last week and she was saying that she was producing 30 or 40 product requirement docs every week. [00:26:14] Marc Monday: Um, that’s remarkable output and she can only do that because of the way she’s leveraging ai. The same will be true for a partner manager, a 10 x, a 20 x, a 30 x on each individual once we get to that stage, and it will happen very quickly. [00:26:29] Amit Sinha: Yeah. Imagine putting a hundred joint account plans together in a day. [00:26:33] Amit Sinha: Yep. [00:26:33] Vince Menzione: Right. Incredible. [00:26:34] Amit Sinha: Imagine putting like five connections on an opportunity just surrounding your deal right now. Right. Doing that. [00:26:41] Vince Menzione: I couldn’t even, I, I couldn’t even imagine. I know you couldn’t even imagine when we were back in the days we were running PAMs and Yeah, totally. Those resources, what they had to do and what’s all totally automated today. [00:26:52] Marc Monday: It. It’s true, it’s true. I was, um, I was bemoaning this, I’ve been on the road a lot lately and I was like telling my wife, like, I long for the days where you have one meeting and you go, you know, you go to New York and you do a two hour QBR and you go to a nice dinner and then maybe you walk around Central Park. [00:27:06] Marc Monday: The reality is you’re doing a hundred of those every single day. It’s a different era. That’s where we need to get the tools to work for people. [00:27:15] Amit Sinha: Mark, I love your analogy around the rear view mirror versus the windshield. Mm-hmm. You have to see through the windshield. [00:27:20] Marc Monday: We do. We do. It’s amazing. Don’t be afraid. [00:27:23] Marc Monday: I, I mean, I would just say do not be afraid. Be excited. We in this room, get to lead the path. Yeah. It is an absolute privilege. [00:27:32] Vince Menzione: So insightful, gentlemen, you’ve been incredible to be on stage with today. Uh, I we have a le a little less than a minute. I was hoping maybe if there was like one question we could take. [00:27:42] Vince Menzione: I got John with a mic and then it’s lunchtime after this, so [00:27:48] Marc Monday: ask on because he can be more pithy. [00:27:50] Vince Menzione: Yeah. [00:27:55] Vince Menzione: Well, you’re both are gonna be around here. I hope [00:27:57] Marc Monday: we will be here. [00:27:58] Vince Menzione: Mark didn’t have you got to sleep in your own bed last night? [00:28:00] Marc Monday: Uh, yeah. It was a long day, but yes. I thank you for, it was very late. Thank you so much. Let’s put this on the record. Marks down. We’re having the event in Bellevue. That was great. [00:28:09] Marc Monday: We’re gonna [00:28:09] Amit Sinha: bring it back. We’re gonna bring it back to Bellevue. [00:28:12] Marc Monday: Seven mile commute is the best trip that I’ve had in many, many weeks. [00:28:17] Amit Sinha: Thank you. Well, thank you, gentlemen. It [00:28:19] was [00:28:19] Marc Monday: incredible. [00:28:20] Vince Menzione: Thanks for listening to the Ultimate Partner Podcast. If today’s conversation resonated, share it with a partner leader in your network. [00:28:28] Vince Menzione: Subscribe where you listen, and head over to the Ultimate partner.com for show notes related content and the resources for this episode. And if you haven’t already, now’s the time to register for the Ultimate Partner Live event in Reston, Virginia, [00:28:44] Marc Monday: October [00:28:45] Vince Menzione: 26th through October 28th. Until next time. Keep showing up in the rooms that matter because being in the room changes everything.

Send us Fan MailSam Thomason's career sits at the intersection of technical sales, manufacturing automation, Japanese business culture, and advanced machining. With more than 14 years of experience in CNC machinery, factory automation, and industrial robotics, Sam has worked across the U.S., Japan, and Australia helping manufacturers evaluate and adopt technologies that improve productivity, safety, and competitiveness. He is currently National Sales Manager for Shibaura Machine Company, America's Nano Processing division, where he is responsible for U.S. sales strategy and customer development around the UVM Series ultra-precision machining platforms. His work involves helping engineering, R&D, tooling, and executive teams define applications, validate processes, and qualify advanced nano-machining capabilities for industries such as optics, photonics, medical devices, semiconductor-adjacent manufacturing, and high-precision moldmaking. Shibaura describes the UVM Series as high-precision machining centers built around high-speed, high-quality machining with high-precision aerostatic bearing spindles, with applications in precision molds, automotive lighting, lenses, smartphone frames, LED packaging molds, and precision parts machining.  Before joining Shibaura Machine, Sam held roles in automation, robotics, machine tools, and business development with organizations including Workr Labs, Yuasa International, Konica Minolta Australia, SE4, and TAKAMAZ. His early career included working in Japan as an application engineer and technical sales/cutting engineer at TAKAMAZ, giving him a practical foundation in CNC programming, machining applications, and communicating technical details across cultures.  Sam's background also includes robotics and teleoperation, including work with SE4 in Tokyo, where he helped demonstrate latency-resilient robotic teleoperation software and even supported a live international demo operating a dual-arm robot in Tokyo from Abu Dhabi despite more than 30 seconds of video lag. That experience gives him a broad perspective on where automation is headed, from industrial robotics to ultra-precision machining. For this conversation, Sam wants to focus on non-traditional machining topics such as non-machining, diamond turning, and hard milling. His perspective should be especially valuable for engineers who want to understand where conventional manufacturing assumptions break down, when ultra-precision equipment changes the process equation, and how technologies like diamond turning and hard milling can open new possibilities in optics, tooling, molds, medical components, and advanced manufacturing.  LINKS: Sam Thomason LinkedIn: https://www.linkedin.com/in/sam-thomason/ Aaron Moncur, host PDX 2026 is October 20-21 in Phoenix, AZ.  Learn more and register at https://pdexpo.engineer/  Subscribe to the show to get notified so you don't miss new episodes every Friday.The Being An Engineer podcast is brought to you by Pipeline Design & Engineering. Pipeline partners with medical & other device engineering teams who need turnkey equipment like cycle test machines, custom test fixtures, automation equipment, assembly jigs, inspection stations and more. You can find us at www.teampipeline.usWatch the show on YouTube: www.youtube.com/@TeamPipelineus 

This week we're replaying our favorite shows about beating the heat. In this episode from September 2020, a discovery that may make the world a little better: a thermoelectric cooler that's so small, the naked eye can't see it. Plus: for the International Day of Sign Languages, a celebration of interpreters at heavy metal concerts. UCLA scientists create world's smallest ‘refrigerator' (UCLA)10 Epic Sign Language Interpreters at Metal Shows (YouTube)International Day of Sign Languages (United Nations)Rawk out as a Cool Weird Awesome backer on Patreon

This week, we speak with Paul Lichty, Co-Founder and CEO of Forge Nano. He explains how Forge Nano's atomic layer deposition approach can build better batteries and semiconductors while maximizing the rarest materials these require. And, how its manufacturing plans and growing sales pipeline led the company into a $1.3 billion business combination with Archimedes Tech SPAC Partners II Co. (NASDAQ:ATII). Investment has poured into the companies making the chips and batteries needed for cutting age technology to work. Now, a company that has pioneered a new way of building those key components at the atomic level, is going public, via a SPAC.  

How do you build stronger, more powerful footballers when there is barely enough time to recover between matches?In this episode, Nick Grantham shares how his approach to strength and conditioning has evolved after years working in elite Olympic sport and the English Premier League. The conversation explores why strength remains a cornerstone of elite football performance, how to individualize training across a congested season, and why chasing the "perfect" gym session may no longer be the answer.Nick also explains the concept of nano dosing, using small but meaningful strength exposures throughout the week, while discussing minimum effective dose, player monitoring, injury mitigation, and balancing long term athletic development with match readiness.Interested in learning more about the latest developments in endurance performance and sports science? Subscribe to the HIIT Science email list for updates on new research, courses, and educational opportunities.Today's speakers:Dr Martin Buchheit https://martin-buchheit.net/    Nick Graham https://www.linkedin.com/in/nickgranthamconsultancyltd/Athletica Uhttps://youtube.com/playlist?list=PLu7L8NU083obOOZnkl9qd1lxr5zfVKTkL&si=YkGXTSQsJcYBUPiD

Industrial Talk is onsite at SMRP 2026 and talking to Greg Christensen, Founder and Host of CMMS Radioabout "The State of technology and asset management". Scott Mackenzie and Greg Christensen discuss the importance of effective asset management and the role of technology in enhancing operational efficiency. They highlight the significance of real-world insights and practical applications over flashy technology. Greg mentions the upcoming SMRP event, where he will be interviewing industry experts like Crister and discussing multi-site CMMS solutions with Gregory Perry from eMaint. They emphasize the need for proper planning, training, and continuous use of CMMS systems. Greg also promotes his podcast, CMMS Radio, as a valuable resource for industry professionals seeking practical advice and insights. Outline Introduction to Elevotec and Industrial Talk Podcast Scott Mackenzie introduces Elevotec, highlighting their ERP, EAM, and business intelligence solutions.Scott Mackenzie welcomes listeners to the Industrial Talk podcast, emphasizing the celebration of industry professionals.Scott Mackenzie describes the bustling environment at SMRP, where the podcast is being recorded.Scott Mackenzie introduces Greg Christensen, a renowned figure in the CMMS industry, and sets the stage for the conversation. Greg Christensen's Arrival at SMRP Greg Christensen expresses excitement about attending SMRP for the first time after years of being asked.Scott Mackenzie and Greg Christensen discuss the chaotic yet organized setup at SMRP, including ongoing carpet installation.Greg Christensen mentions the presence of notable speakers like Krister It Hammer from IDCON.Scott Mackenzie and Greg Christensen discuss the importance of real insights and practical maintenance stories over fancy technology. Challenges in Maintenance and Reliability Scott Mackenzie and Greg Christensen discuss the ongoing challenges in maintenance and reliability, emphasizing the lack of a silver bullet solution.Greg Christensen stresses the importance of fundamental excellence and team effort in maintenance.Scott Mackenzie shares his frustration with the constant search for a magic solution, highlighting the need for consistent effort.Greg Christensen talks about the importance of focusing on the basics and using CMMS solutions effectively. Greg Christensen's Podcast Initiative Greg Christensen explains the idea behind the "Friends of Nano" podcast, which aims to bring together CMMS companies and other industry experts.Scott Mackenzie and Greg Christensen discuss the involvement of various sponsors and companies like Reliability X, Maintain X, and Ultimo.Greg Christensen highlights the importance of having experienced professionals like Gregory Perry from Emain on the podcast.Scott Mackenzie and Greg Christensen discuss the challenges and benefits of implementing multi-site CMMS solutions. The Importance of Storytelling in Industry Scott Mackenzie and Greg Christensen emphasize the need for companies to tell their stories and showcase their successes.Greg Christensen advises companies to differentiate themselves by highlighting their unique strengths and solutions.Scott Mackenzie and Greg Christensen discuss the importance of consistent communication and marketing in the industry.Greg Christensen shares his plans to engage with attendees at SMRP and gather insights for his podcast. Final Thoughts and Contact Information Scott Mackenzie and Greg Christensen wrap up their conversation, emphasizing the importance of collaboration and storytelling in the industry.Greg Christensen provides his contact information and encourages listeners to connect with him on LinkedIn and other platforms.Scott Mackenzie reiterates the value of Greg Christensen's insights and encourages listeners to follow his podcast for more industry insights.The conversation ends with a reminder of the ongoing SMRP event and the importance of connecting with industry professionals. If interested in being on the Industrial Talk show, simply contact us and let's have a quick conversation. Finally, get your exclusive free access to the Industrial Academy and a series on “Why You Need To Podcast” for Greater Success in 2025. All links designed for keeping you current in this rapidly changing Industrial Market. Learn! Grow! Enjoy! GREG CHRISTENSEN'S CONTACT INFORMATION: Personal LinkedIn: https://www.linkedin.com/in/greg-c-7b97648/ Company LinkedIn:  https://www.linkedin.com/company/cmmsradio/posts/?feedView=all Company Website:  https://cmmsradio.com/ PODCAST VIDEO: https://youtu.be/UQX8SQl2LTc THE STRATEGIC REASON "WHY YOU NEED TO PODCAST": OTHER GREAT INDUSTRIAL RESOURCES: NEOM: https://www.neom.com/en-us Hexagon: https://hexagon.com/ Arduino: https://www.arduino.cc/ Fictiv: https://www.fictiv.com/ Hitachi Vantara: https://www.hitachivantara.com/en-us/home.html Industrial Marketing Solutions:  https://industrialtalk.com/industrial-marketing/ Industrial Academy: https://industrialtalk.com/industrial-academy/ Industrial Dojo: https://industrialtalk.com/industrial_dojo/ We the 15: https://www.wethe15.org/ YOUR INDUSTRIAL DIGITAL TOOLBOX: LifterLMS: Get One Month Free for $1 – https://lifterlms.com/ Active Campaign: Active Campaign Link Social Jukebox: https://www.socialjukebox.com/ Industrial Academy (One Month Free Access And One Free License For Future Industrial Leader): Business Beatitude the Book Do you desire a more joy-filled, deeply-enduring sense of accomplishment and success? Live your business the way you want to live with the BUSINESS BEATITUDES...The Bridge connecting sacrifice to success. YOU NEED THE BUSINESS BEATITUDES! TAP INTO YOUR INDUSTRIAL SOUL, RESERVE YOUR COPY NOW! BE BOLD. BE BRAVE. DARE GREATLY AND CHANGE THE WORLD. GET THE BUSINESS BEATITUDES! Reserve My Copy and My 25% Discount

Can you build a fully functional, high-scale SIEM in just two weeks for under $7,000? In this episode of the Cloud Security Podcast, hosts Tim Peacock and Kyle Champlin sit down with long-time collaborator Dan Lucier, Founder of Nano, to unpack how he "vibe-coded" an entire SIEM from scratch during his end-of-year holiday break. Dan shares his journey of leveraging bleeding-edge AI code assistants to go from a Postgres prototype to a blazing-fast, production-ready SIEM built on Rust and ClickHouse. In this episode, we cover:

Hey there. Thanks for checking out Episode 671 of the Perfect Pour - a beer podcast your kid probably hates. Here are some things we will get to this episode: Dinseyland tangent. Does a milkshake beer pass the Doug Test? Nano bubbles and grey water beer. A Radarpalooza update via the Friday Night Zoom! Is the new "California" Trumer Pils out? Beer from Zimbabwe? Brewery movements and closings be crazy. A hazy Scotty B brewing mishap. What's with the Torpedo name, Sierra Nevada? And more! download Thank you for listening! HOSTED BY: Nick, Rad Stacey, Mikey MUSIC BY: Sunburns and Paul From Fairfax. BEER AND SHOW-RELATED LINKS: SUPPORT THE SHOW AND BECOME A GOLDEN GOD! Subscribe to the show on Apple Podcasts. You can also find us on Spotify and most podcast players. Perfect Pour's YouTube Channel. VOICEMAIL/TEXT LINE: 559-492-0542 Drop Us a Line: perfectpourpodcast@gmail.com. Join our Discord Channel! Send Postcards or Samples to us: The Perfect Pour – co Mike Seay 2037 W. Bullard Ave #153 Fresno, CA 93711

NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models — and then give them away for free? Bryan Catanzaro is VP of Applied Deep Learning Research at NVIDIA and one of the people whose work quietly underpins modern AI: he helped create cuDNN (NVIDIA's first deep learning product), co-invented DLSS, and named and built Megatron, the framework behind how much of the industry trains large models. Today he leads Nemotron, NVIDIA's family of open models — and Nemotron 3 Ultra, released just weeks ago, is one of the strongest open-weights models to come out of the US.Matt Turck sits down with Bryan for a genuinely deep conversation: the real business logic behind a chip company building its own models, the state of open vs. closed AI, and whether the US is falling behind China in open models. Then they go inside Nemotron itself — four-bit (NVFP4) pretraining, hybrid Mamba-Transformer architecture, mixture-of-experts, multi-token prediction, and multi-teacher distillation — all explained in plain language. Plus a rare look at how a modern AI research org actually runs, what it was like working alongside Andrew Ng and Dario Amodei at Baidu, why Bryan doesn't believe in the singularity, and his contrarian case that open AI is safer than closed.A reference conversation for anyone trying to understand where AI is really headed.(00:00) — Cold open & Intro(01:33) — Is open source AI catching the frontier?(05:29) — Do closed labs blocking distillation slow open source down?(07:42) — Is the US falling behind China?(10:30) — Why companies actually choose open models(12:39) — A "crazy" 2008 bet: machine learning on GPUs(15:33) — Working with Andrew Ng and Dario Amodei at Baidu(17:41) — Coming back to NVIDIA: DLSS and the birth of Megatron(21:55) — The real reason NVIDIA builds its own models(24:28) — Is Moore's Law really dead?(33:37) — The Nemotron family: Nano, Super, Ultra(35:09) — Built for agents: why NVIDIA bets on speed(36:02) — How you train a 550B model in 4 bits(39:25) — Hybrid Mamba-Transformer, explained simply(42:31) — Mixture of experts — and why NVIDIA built NVL72 around it(47:26) — Why a 1-million-token context window matters(49:26) — Multi-token prediction: how the model predicts 5 tokens at once(52:47) — Multi-teacher distillation: teaching one model from many(58:01) — Where reinforcement learning goes next(01:00:16) — Inside NVIDIA's research org: "the mission is the boss"(01:04:03) — How NVIDIA decides who gets the GPUs(01:10:53) — Why NVIDIA still feels entrepreneurial after 33 years(01:12:58) — Why Bryan doesn't believe in the singularity(01:17:50) — The AI backlash(01:19:18) — The controversial case: open AI is safer than closed

Karen Gordon discusses her career path and how dental hygiene and chiropractic medicine fit together with cross referencing symptoms.   Resources: @thechirohygienist on all socials

Olyan sem volt még, hogy egy KK Nanóban három témából kettőben előkerül a pornó, de most ez is megtörtént! Grath a mai Indonézia első elnökéről mesélt, különös tekintettel annak nőügyeire, illetve arra, hogy a KGB és a CIA hogy állt a nimfomán politikushoz. Mazur egy több mint 600 éves zavargást dolgozott fel bortól borig, felvetve közben egy érdekes szakdolgozattémát: az egykori kandósok vagy a középkori oxfordosok az igénytelenebb jószágok? Végül Stöki a béke nagyasszonyát, Staller Ilonát hívta segítségül, hogy bemutassa a rendszerváltás egy különösen plasztikus jelenetét, nyúl-, ló- és galambüregekkel.

Everyone is talking about artificial intelligence right now. But almost no one is asking the most important question: Where is all the power going to come from? AI data centers are incredibly energy-intensive. The infrastructure being built to support this technology is going to require massive, reliable, and uninterrupted electricity. And that brings us to a surprising conclusion… Nuclear energy is quietly becoming one of the most important investment themes of the next decade. Over the last few weeks, we had the chance to sit down with James Walker, CEO of Nano Nuclear Energy (NASDAQ: NNE), and one thing became very clear: The nuclear story isn't just about AI. It's much bigger than that. In fact, the original opportunity had nothing to do with AI at all. It started with a simple observation: Money was flowing out of wind and solar, but global demand for power kept rising. Before AI, before data centers, before the hype—there was already a massive gap forming between energy supply and real-world demand. And nuclear sits in a unique position. It produces enormous amounts of power, runs for years without interruption, and, despite popular belief, has one of the best safety records of any energy source on a “deaths per unit of energy” basis. That's not an opinion, that's just math. But here's where it gets interesting from an investment standpoint. Most people think about nuclear as these massive, one-off power plants that take a decade to build. That's the old model. The new model looks very different. Instead of one giant reactor, companies like Nano Nuclear are focused on small, modular reactors, essentially portable power plants that can be deployed almost anywhere. And that changes everything. Because now the opportunity isn't just powering large cities or feeding into traditional power grids. It's about going places where energy has never been reliable or cost-effective before. Think: Remote communities in Canada or Africa running on expensive diesel Island economies in Southeast Asia importing fuel daily Industrial sites without access to consistent power Data centers that can't afford downtime These are markets measured in gigawatts of unmet demand. And the economics are compelling. Diesel is not only expensive, it's unreliable. Fuel has to be shipped in constantly, and disruptions are common. A small nuclear system, on the other hand, can run for years once installed. This doesn't just lower costs—it creates something far more valuable: Energy independence. From a financial planning perspective, this is where the story connects directly to your portfolio. We are entering a period where global infrastructure is being rebuilt in real time. Electrification is accelerating AI is increasing demand exponentially Emerging markets are still underpowered That combination creates long-duration investment opportunities. But it also creates risk. Because these types of businesses don't follow traditional timelines. They require: Large upfront capital Long development cycles Regulatory approvals before revenue scales Which means the path won't be linear. This is why we always come back to the same principle: You don't bet the farm on a single idea (aka a single stock), but you don't ignore transformational trends either. Nuclear falls squarely into that category. It's not a short-term trade. It's a potential secular tailwind that could play out over decades. Another key insight that came out of our conversation: The biggest opportunity may not even be AI. It may be emerging markets. There are hundreds of millions of people globally who still lack access to reliable energy. Without power, there is no productivity. Without productivity, there is no economic growth. Nuclear—specifically smaller, scalable systems—has the potential to unlock that trapped economic capacity. And when that happens, entire regions move up the economic ladder. So what does this mean for investors today? It means you should start thinking differently about where future growth will come from. The next decade won't just be about semiconductors and compute. It will also be about the hard assets that make the AI revolution possible: Energy Commodities Infrastructure Emerging Markets These are all themes we hold in our current investment models. The bottom line is simple. We are at the early stages of an energy transformation that most investors are underestimating. Nuclear is no longer just a legacy power source. It's becoming a solution to some of the biggest constraints in the global economy. And whether it's AI, industrial demand, or emerging markets… All of it comes back to one thing: power.

+++ Wer zusammenlebt, teilt sich eine riesige Zahl an Bakterien in Mund und Darm +++ Windräder machen nicht krank +++ Nano-Roboter bringen Medikamente in den Körper +++ Kakadus regen sich über defekte Geräte auf +++**********Weiterführende Quellen zu dieser Folge:Studie zu Darm- und MundbakterienStudie zu Gesundheit und WindrädernNano-Roboter gegen KrebszellenStudie zu Kakadus und defekten Geräten**********Ihr könnt uns auch auf diesen Kanälen folgen: TikTok und Instagram .

For people like Misty, technology isn't a luxury—it shapes how they think, what they trust, and what kind of future they believe they're living in. That confidence begins to crack when a personal encounter exposes something deeper. The machines that hold this community together depend on materials depending on supply chains that no longer exist. The advanced medicine, the sensors, the processors, the automation—everything that made this society feel post-scarcity suddenly looks fragile. No invading army is coming. No single disaster is exploding at the gates. Instead, the threat is slower and more unnerving: decline.TechLutin Two: A domestic helper robot that quietly handles routine household tasks like watering plants.AR OS: An augmented-reality operating system navigated by blinking and eye movements that overlays information directly into the user's vision.Noise filtering: A hearing-control system that can selectively suppress environmental sound.Health watch: A live biometric monitoring interface that displays the body's internal condition in real time.Canal link: An ear-worn or implanted personal computing interface that gathers sensor data and manages communications.VR dots: Wearable sensor nodes originally made for virtual reality that now collect detailed physiological measurements.Nutrient dashboard: A system that continuously adjusts food composition to match the body's current needs.Preventive medical AI: An always-running health service that detects problems early and alters behavior, diet, or treatment before symptoms appear.Averted Illness chart: A predictive health analytics tool that estimates diseases a person likely avoided.Assist: A voice-driven personal AI that handles messages, searches, calls, and scheduling.Encrypted guardian system: A networked public safety infrastructure that makes constant passive protection part of daily life.Frugal points system: A behavioral incentive platform that rewards people for reducing waste.Personality clone: A digital copy of someone's personality that can keep learning, speaking, and creating content autonomously.Mag-lev train: A magnetically levitated transit system that moves people rapidly through enclosed tube lines.Construction robots: Automated machines that perform building and infrastructure work.Bioluminescent memory spheres: Hanging display objects that replay fragments of archived visual media.Open Floor: A civic communication system that lets people bring issues directly to public counsel.AR holo-map: A three-dimensional projected map used for planning and technical discussion.Pen microscope: A pocket-sized optical analysis tool for close material inspection.Submersible drone: A remotely operated underwater scout used for exploring flooded transit routes.AI server clusters: Repurposed computing systems powerful enough to model large scientific and industrial problems.Butler AI: A highly capable artificial intelligence cited as solving major social and logistical challenges.Machine evolver simulations: Competitive computational models that repeatedly test and refine new machine designs.High-density processors: Advanced compact computing hardware used for large-scale simulation work.Silicon scaffold protein servers: Powerful older-generation computing systems built around extremely dense processing architecture.Material simulation libraries: Vast databases of molecular candidates used to predict useful new substances before making them.Fab-All: A massive integrated manufacturing system that turns ordinary garbage, water, and power into almost any needed product.Medicine printer: A precision fabrication machine that assembles complex chemical products from purified feedstocks.Molecule printers: Highly specialized printers that arrange matter at the molecular level.Ionic bath breakdown system: A low-temperature chemical process that dissolves mixed waste into reusable elemental feedstocks.Electrochemical gradient separators: A staged chemical sorting process that isolates different elements from dissolved waste.Chelating extraction agents: Specialized molecules that bind to targeted elements so they can be separated.Spectroscopic sensors: Optical analyzers that identify material composition inside processing lines.Gold Gel: A separated elemental feedstock stored for later precision manufacturing.Silica Goo: A silicon-rich separated feedstock used in fabrication processes.Swarm robotic print arms: Multi-axis robotic fabricators that can approach a print job from all directions at once.Nanowire suspension system: Fine conductive supports that hold a structure in place without a base plate.Reactive scaffold printing: A fabrication stage where a printed structure also acts as the template for later chemistry.Catalytic nano-points: Tiny embedded reaction sites that trigger specific chemical transformations.Static electron pockets: Built-in charge zones that guide how later molecular assembly unfolds.Reaction printing phase: A manufacturing stage where custom molecular recipes spread through the scaffold and build new material from within.Polarized semifluids: Responsive liquid materials that migrate and organize under controlled fields.Magnetic field crystal alignment: A process that directs how crystals form inside a growing structure.Nano-lattice formation: Self-assembling microscopic frameworks that create strong or specialized materials.Programmable protein folding: Engineered molecular behavior where newly formed proteins fold into useful structures.Analog logic pathways: Nontraditional computing structures formed through self-assembled semiconductor patterns.Nano-weave composite tech: The colony's name for a fabrication method that grows advanced composite materials from guided chemical reactions.Surface-conditioning pass: A finishing process that adds optical or functional surface properties at the nanoscale.Thread printers: Specialized fabrication units that produce fibers and textile stock.Flat-bed sheet printers: Large-format printers used to make sheets of glass, boards, and similar materials.Assembly chambers: Dedicated fabrication spaces where separately printed components are combined into finished products.Smart particles: Tiny responsive materials used in soft goods like pillows.Pressure-sensitive conductive threads: Fabric fibers that can detect strain or improper tension.Optical fiber tablet surfaces: Durable display surfaces built with light-guiding material.Wearable health monitor circuit boards: Flexible electronics that can fold into body-worn medical devices.Pho-superconductor nanotube yarns: Advanced conductive winding material used in high-performance electric motors.Inverse greenhouse clothes: Garments designed to keep people comfortable in hotter enclosed environments.Wall screens: Large display surfaces built into living spaces.Streamer cams: Compact cameras used for recording and broadcasting.Whisper drones: Small quiet drones likely used for observation or personal tasks.Projectors: Devices that cast visual information onto surfaces.Laser shavers: Grooming tools that use focused light-based cutting.E-fabrics: Electronic textiles with built-in functional circuitry.BritLights: Named lighting devices used for illumination.Protein memory: A storage technology referenced as a desirable consumer product.Micro devices: Extremely small electronic or mechanical devices for general use.Smell sensors: Devices that detect and analyze airborne chemical signatures.Blood-line power generators: Small-scale power systems referenced as part of past consumer technology.Taze-wear: Wearable gear with defensive or electrical functionality.Invisa-veils: Concealment wear or optical masking apparel.Robot pets: Companion machines built to mimic animals.Autono-bikes: Self-operating or highly assisted bicycles.Laser toys: Play devices using light-based projection or interaction.MRI caps: Wearable medical scanning equipment.Plasma welders: Tools that join material using high-energy plasma.Gut bots: Internal medical robots meant to operate inside the digestive system.Milk cloners: Devices that reproduce milk or milk-like substances.Second faces: Alternate wearable or projected facial identities.Insta-water purifiers: Portable systems that rapidly clean water.CPAP machines: Breathing-assist devices for sleep or respiratory care.Nebulizers: Medical devices that turn liquid medicine into inhalable mist.VR shades: Head-mounted visual immersion devices.3D printers: Conventional additive manufacturing machines still valued for general fabrication.Smart pens: Writing tools with embedded digital functionality.Interactive sleeve: A wearable display and control interface built into clothing.Funzoid screens: Visual entertainment displays that create abstract patterns designed to affect mood and perception.Wind arena: A recreational chamber that uses controlled storm-force airflow as a sport environment.Robot rescue arms: Automated safety systems that pull players out of dangerous airflow zones.Digital design feed: A constantly updating network where people share newly created product designs.E-ink books: Electronic books with low-power readable display pages.Unpowered keyboard: A manual input device used as a familiar way to think and compose even without active electronics.Many of the characters in this project appear in future episodes. Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass. Copyright © Cy Porter 2026. All rights reserved.

Milan from NanoGPT joins Kenton and Denny to discuss his journey from central banking to building a privacy-focused AI platform powered by crypto. They explore NanoGPT's integration with THORChain, the future of AI payments, and why privacy matters in both finance and artificial intelligence. Swap now https://swap.thorchain.org/ THORChain is a decentralized crypto exchange. THORChain is the first and biggest DEX for Bitcoin. You can use any self custody wallet to swap and there's no KYC required.Timestamps:00:00:00 Intro00:03:00 Kenton update, Churn, 3.19.100:04:00 Marketing update, signed an agreement with Sal the Agorist and Mark Edge ASK00:06:00 Every single person watching that show should be using THORChain00:07:00 Milan starts, NanoGPT00:09:00 Milan worked for the central bank00:11:00 The central bank was anti-crypto00:12:00 The central bank wanted a button to stop transactions and KYC and the money issuing to be in their hands00:13:00 Why did you decide to work at a central bank00:16:00 Kenton had a friend that worked with the Bank of Canada00:17:00 Milan did not have a good breakup00:19:00 Milan thought subscriptions for AI models was a terrible idea00:20:00 An early user was Erik Voorhees00:21:00 NanoGPT has grown to include all AI models00:22:00 Claude pulled Fable access for everyone00:23:00 NanoGPT is an AI aggregator, 80 providers00:26:00 NanoGPT is the same price or cheaper00:27:00 Kenya man used Nano for medical questions00:28:00 Neobanks are getting shut down, do you run that risk?00:29:00 Big providers make a loss with subscriptions — many people share a subscription00:31:00 They know what we are doing00:32:00 How do customers choose what AI model to use? Automatic or custom?00:34:00 AutoModel checks what kind of question it is and decides the prompt difficulty00:38:00 Website feature00:42:00 CEX story of getting paused00:43:00 Iranian linkage because of $3200:44:00 THORChain and NanoGPT are a great partnership00:47:00 How did the Kenya man figure out you existed?00:48:00 NanoGPT and Venice are competitors?

A timber column can survive the heating phase of a fire resistance test and still collapse later, after the flames are gone. We know there is so much more to structures in fires than the test demonstrates, but how much exactly do we know about timber nowadays? In this episode we try to dive deeper and discuss mass timber fire safety, structural fire engineering, and what a fire resistance rating does and does not tell us. I'm joined by Dr. Felix Wiesner from the University of British Columbia, this year's IAFSS Proulx Award recipient, to unpack his review on mass timber load-bearing capacity in fire across scales. We start where most design decisions begin: full-scale furnace tests and the practical reality that many modern timber elements are too large, too new, or too costly to test under load. From there we dig into the reduced cross-section method, charring rate assumptions, and the controversial “zero-strength layer” that turns heated wood into a simplified design allowance, even as uncertainty and code-to-code differences persist. Then we turn to the decay phase and delayed failure, connecting recent column results to the bigger question of performance-based design for compartment fires that heat and cool. To model that behaviour, we need credible links between temperature, strength reduction, and elastic modulus reduction, and we need to care about how the data were generated: steady-state oven tests versus transient tests where timber is loaded first and heated with steep gradients. Finally, we go down to the microscale and nanoscale, where moisture migration and even hydrogen-bond changes in cellulose help explain why “loaded while heating and cooling” can permanently reshape capacity. If you work with mass timber buildings, timber fire design, Eurocode approaches, or structural safety in fire, this is a deep reset on what matters most. Read about the IAFSS Awards here https://www.iafss2026.com/awardsRead the whole paper with a more in-depth view on the subject "From nano-to megastructure: A review of mass timber load-bearing capacity in fire"----The Fire Science Show is produced by the Fire Science Media in collaboration with OFR Consultants. Thank you to the podcast sponsor for their continuous support towards our mission.

https://novacut.ai/  https://genaimeetup.com/  Anthropic has officially closed a $65 billion Series H at a $965 billion valuation, nearly 2.5x its valuation from just 100 days ago. Meanwhile, funding is flowing across the ecosystem: Frameworks AI at $15B, Baseten at $11B, OpenRouter's $113M Series B, and Cognition AI's $1B Series D. NVIDIA went on an open-source super week with Nemotron 3 Ultra, Cosmos 3, and Nemotron 3.5 ASR. Microsoft dropped 5 new MAI models. Google released Gemma 4 12B, and Anthropic shipped Opus 4.8. On the benchmarks front, DeepSWE crowns GPT-5.5 as the leader in long-horizon coding tasks, while ITBench shows even frontier models struggle with real-world SRE incidents — Claude Opus 4.7 tops out at just 47%. Plus: Cloudflare acquires VoidZero to build the future of AI-native edge development, and Google is paying SpaceX $920M/month for compute. Topics covered: • Anthropic's $65B Series H and path to $1T • Fireworks AI, Baseten, OpenRouter & Cognition funding rounds • Microsoft's 5 new MAI models • NVIDIA's open-source super week (Nemotron, Cosmos 3) • MiniMax M3, Gemma 4 12B, JetBrains Mellum2, Opus 4.8 • DeepSWE benchmark: GPT-5.5 leads long-horizon coding • ITBench: Frontier models under 50% on real SRE tasks • Cloudflare + VoidZero for AI-native edge dev • Google's $920M/month SpaceX compute deal #AI #Anthropic #NVIDIA #OpenAI #AInews #TechNews #LLM     Funding rounds Anthropic formally confirmed the closure of its $65 billion Series H funding round at a post-money valuation of $965 billion. This represents a 2.5-fold increase over its $380 billion Series G valuation from February 2026, adding $585 billion in value in approximately 100 days https://www.anthropic.com/news/series-h  Frameworks AI raising at 15B valuation representing a near fourfold increase from its $4 billion Series C valuation recorded in October 2025 processing 15 trillion tokens daily for major production clients including Cursor, Notion, and Perplexity https://finance.yahoo.com/sectors/technology/articles/fireworks-ai-eyes-15-billion-174609357.html Baseten is raising 1B at 11B valuation annualized revenue, which skyrocketed from $200 million to $600 million over a single quarter https://techstartups.com/2026/05/26/ai-inference-startup-baseten-in-talks-to-raise-1-billion-at-11-billion-valuation/  OpenRouter has secured a $113 million Series B funding OpenRouter has experienced exponential traffic growth, with weekly production throughput expanding fivefold from 5 trillion to 25 trillion tokens over a six-month horizon https://www.businesswire.com/news/home/20260526953416/en/OpenRouter-Raises-%24113-Million-CapitalG-led-Series-B-as-Weekly-Volume-Explodes-to-25T-Tokens  Further up the stack: Cognition AI secured a $1 billion Series D round led by Lux Capital and 8VC https://cognition.ai/blog/series-d   Model Releases MAI models: MAI-Code-1-Flash: A 5-billion active parameter model optimized for ultra-low latency within GitHub Copilot and VS Code. MAI-Image-2.5: A high-fidelity image generation model ranking third on global image evaluation arenas, outperforming competing architectures like Nano Banana Pro. MAI-Transcribe-1.5: A multi-lingual speech processing engine offering fivefold speed improvements across 43 languages. MAI-Voice-2: Natural audio and voice generation across 15 languages, available at a highly competitive price point. Web IQ: A search-grounding API engineered to directly compete with Perplexity. https://microsoft.ai/models/    https://www.peoplematters.in/news/ai-and-emerging-tech/uber-imposes-dollar1500-monthly-ai-spending-limit-on-employees-amid-rising-costs-50073    Nvidia has executed an "Open-Source Super Week," positioning itself as a dominant software and model publisher: Nemotron 3 Ultra (best US open source open weights model but behind china): A massive 550-billion parameter MoE (55 billion active) designed with a 1-million token context window, optimized specifically for high-throughput, cyclical agent loops. It achieved peak throughput rates of 400 tokens per second on day-zero optimized clusters. Cosmos 3: A physical AI world-modeling framework comprising 16-billion Nano and 64-billion Super variants. Built on a Mixture-of-Transformers (MoT) architecture, Cosmos 3 natively binds textual, visual, auditory, and physical kinetic vectors. Nemotron 3.5 ASR: A highly compact 0.6-billion parameter streaming speech recognition model pushing sub-100 millisecond latencies across 40 language locales.   https://www.minimax.io/models/text/m3  MiniMax M3: A 1-million token context model hitting 59.0% on SWE-Bench Pro and 74.2% on MCP Atlas, though noted for high token consumption due to intensive internal self-validation loops.   https://blog.google/innovation-and-ai/technology/developers-tools/introducing-gemma-4-12b/  Gemma 4 12B: Google's Apache 2.0 on-device model, which utilizes an encoder-free architecture that projects vision and audio vectors directly into the text-token space, bypassing separate CLIP-style encoders to minimize local memory footprints. https://www.jetbrains.com/mellum/  JetBrains Mellum2: A compact 12-billion parameter MoE (2.5 billion active) engineered for ultra-low latency routing and retrieval-augmented generation (RAG) sub-agents within developer IDEs. Opus 4.8 https://www.anthropic.com/news/claude-opus-4-8    https://www.cnbc.com/2026/06/05/google-to-pay-spacex-920-million-a-month-for-xai-compute-capacity.html      Benchmarks: https://deepswe.d atacurve.ai/blog https://venturebeat.com/technology/deepswe-blows-up-the-ai-coding-leaderboard-crowns-gpt-5-5-and-finds-claude-opus-exploiting-a-benchmark-loophole (GPT 5.5 the winner in long horizon tasks) a highly complex software engineering benchmark focused on original, long-horizon tasks across five distinct programming languages. Comprising 113 chaotic tasks across 91 live, production-grade repositories, DeepSWE forces agents to generate 5.5 times more code and modify an average of 7 separate files per task compared to standard evaluations. On this challenging leaderboard, GPT-5.5 leads with a score of 70%, establishing a significant 16-percentage-point lead over contemporary alternatives I think older benchmarks where models reach ~90% accuracy can be considered saturated. Few percentage points don't give us any good signal.  https://research.ibm.com/publications/developing-ai-agents-for-it-automation-tasks-with-itbench  ITBench-AA, an evaluation framework focusing on live Kubernetes incident response and Site Reliability Engineering (SRE) operations. Comprising 59 live, containerized SRE incident snapshots, the results are remarkably sobering: every frontier model scored under 50% on successful incident resolution, with Claude Opus 4.7 leading at 47% and GPT-5.5 following closely at 46%.   Edge AI announcements: https://www.cloudflare.com/press/press-releases/2026/cloudflare-acquires-voidzero-to-build-the-future-of-the-ai-native-web/  The consolidation of the AI-native developer stack has reached the runtime virtualization layer. Cloudflare recently completed the acquisition of VoidZero, the development group responsible for Vite, Vitest, Rolldown, and Oxc, backing the transaction with a $1 million open-source ecosystem fund. This acquisition is highly strategic; as autonomous agents write an increasing proportion of production software, local development environments, compilation pipelines, and bundlers must be optimized for execution speeds that match agent speeds. Cloudflare's goal is to construct a localized, full-stack edge playground. In this sandbox, AI agents can generate, test, bundle (utilizing the highly parallelized, Rust-based Oxc and Rolldown engines), and deploy entire web applications end-to-end within milliseconds. This architecture completely bypasses traditional local machine container bottlenecks, enabling high-velocity agent loops to execute in a fully sandboxed, web-scale edge runtime.

Board-certified dermatologist Dr. Craig Kraffert, owner of Amarte Skincare, joins me for an in-depth conversation on the science behind Korean skincare, the remarkable story of elemental sulfur, nano-encapsulated retinol technology, fermented ginkgo biloba nut extract, and the unique formulation philosophy that has made Amarte one of the most respected professional skincare brands in the industry. We also discuss ingredient innovation, professional skincare, common misconceptions about Korean beauty, and what aestheticians should know when evaluating products in today's crowded marketplace.Private Hands-On Advanced Facial Training & Virtual MentorshipSlow Flow & Sculpt 1 Day Workshop 2-Day Intensive Golden Touch Workshop ApplicationWorkshop & Retreat WaitlistFree Golden Experience Guide Monthly Publication

On this episode of the Ruff Talk VR podcast we are back talking all the latest VR news! Including our thoughts on Compass, a new VR game from Trebuchet. We also talk updates to No Man's Sky and Demeo x DnD: Battlemarked. As well as new VR games such as Just Hoops Nano. Last week also saw a free update to Beat Saber bringing three new free songs, an upcoming Real VR Fishing update, a Little Nightmares VR update, and more!Use code RUFFTALKVR at checkout to save on any game or hardware on the Meta Quest store and help support the show!Big thank you to all of our Patreon supporters! Become a supporter of the show today at https://www.patreon.com/rufftalkvr0:00 - Episode start06:15 - Compass Thoughts18:30 - No Man's Sky "The Swarm" Update24:40 - Just Hoops Nano30:15 - Demeo x DnD: Battlemarked Update31:55 - Beat Saber Three New Free Songs34:35 - PS VR2 Price Discounr42:45 - Larcenauts Shutting Down44:50 - Little Nightmares VR: Altered Echoes Update47:10 - Real VR Fishing DLC Delayed53:30 - Upcoming VR GamesDiscord: https://discord.gg/9JTdCccucSPatreon: https://www.patreon.com/rufftalkvrIf you enjoy the podcast be sure to rate us 5 stars and subscribe! Join our official subreddit at https://www.reddit.com/r/RuffTalkVR/Support the show

Summary Lt Gen Clint Hinote, USAF (Ret.), and CH(COL) Light Shin, USA, join host Josh Jackson to examine influencer culture through a biblical lens. Hinote brings decades of military leadership experience and is now building a speaking ministry focused on integrating Christian faith and leadership into a single, unified message. Shin serves as an active-duty Army chaplain and father of three daughters, navigating influencer culture's effects on faith and family in real time. Both will be speaking on the theme of influence at OCF's White Sulphur Springs Conference Center this summer. The conversation begins by establishing a biblical framework for thinking about influence—one that applies to all Christians before it applies to military officers specifically. A few key distinctions anchor everything that follows. First, the platform versus the algorithm. Both guests agree that social media platforms are morally neutral—the tool itself is neither good nor evil. Hinote compares them to the Roman road system: the same infrastructure used to carry armies also carried the early gospel across the known world. What man built for one purpose, God can use for another. The YouVersion Bible App is offered as a contemporary example of Christians using technology with vision for gospel purposes. The algorithms driving those platforms, however, are a different matter. They are deliberately engineered not to inform or build up users, but to keep them scrolling—by targeting base impulses, feeding comparison, and manufacturing shame. Hinote frames these as the "flaming arrows" of Ephesians 6, and the first thing you see on social media that triggers envy, comparison, or temptation is an arrow. Recognize it. Raise your shield of faith. Second, influencer versus witness. Shin draws a sharp distinction from Acts 1:8, saying that an influencer seeks to build a following but a witness tells the truth about what they have seen and heard, regardless of the audience's reaction. Both guests agree that Christian influence should be a byproduct of a Christ-centered life—not a goal pursued in its own right. When influence becomes the goal, self replaces God at the center. The framework they offer is simple: know Christ above all things, do what Christ commanded, and become more like Jesus through that ongoing, lifelong process. Influence, rightly understood, flows from that. As Shin puts it, the question worth asking regularly is: "Whose kingdom did I build today—God's or mine?" Third, authenticity over curation. The lie of influencer culture, Hinote argues, is that you have to look like you have it all figured out. In reality, authenticity builds trust, and trust is what creates genuine influence. This is as true in the gospel as it is in personal branding, and the early church wrestled with the same pull toward following personalities over Christ, as Paul addresses directly in 1 Corinthians 1:12. The standard the guests return to throughout is 1 Peter 3:15 (ESV): "Always being prepared to make a defense to anyone who asks you for a reason for the hope that is in you—yet do it with gentleness and respect." With that foundation in place, the conversation turns to what this means specifically for Christian officers serving in uniform. Referenced in this conversation: Summer R&R 2 at WSS (Hinote) Summer R&R 6 at WSS (Shin) YouVersion Bible App The Freedom of Self-Forgetfulness by Timothy Keller   Questions answered and themes covered in this interview include:   How is social media affecting the younger generation entering military service? Young people entering the military are increasingly shaped by a worldview centered on self-promotion, curated personas, and metrics of online acceptance. This stands in direct tension with what military formation is designed to accomplish. The foundational goal of basic training is the breakdown of individual ego and the subordination of self to the unit. Shin references Timothy Keller's The Freedom of Self-Forgetfulness as the counterpoint to what he observes: recruits arriving not in freedom, but in what he calls "bondage of self-obsession"—more concerned with how they're perceived on a platform than how they're showing up for the person next to them. Hinote adds that this tension isn't new, and that American individualism has always been something the military has had to address. However, the platforms intensify that individualism by continuously reinforcing exactly the self-focused impulses that military culture is trying to dismantle. Character development must be continuous and intentional, not treated as something institutions address only when there's time. Resource: The Freedom of Self-Forgetfulness by Timothy Keller   How do I share my faith as a military officer without it being weird or forced? Start by living the message before communicating it, and know which role you're speaking from at any given moment. Hinote, drawing from his own experience rising through senior military ranks, offers a framework that proved practically useful. When you are on a platform, in uniform, with rank on your shoulders and a flag behind you, you are speaking from a position of institutional authority, and conflating that authority with the authority of Christ risks manipulation and coercion, which is not Christlike leadership. In settings where you have more personal freedom—as a church member, a neighbor, a citizen—you have more latitude to speak openly about your faith. The key is empathy: always consider what role your audience sees you occupying. In either context, when you fail—and you will—own it and apologize. Authenticity builds trust. Trust creates real influence. A practical starting point Hinote recommends for any developing leader is this: keep a journal, write down every role you hold, and identify the through line connecting them all. Then live that through line. The standard throughout is 1 Peter 3:15 (ESV): "Always being prepared to make a defense to anyone who asks you for a reason for the hope that is in you—yet do it with gentleness and respect." Statistics and data shared this episode (plus a few extra not included): A working definition of influencer culture: Influencer culture is a social and economic phenomenon created when social media platforms reward people for curating a public identity, performing for engagement, and building an audience around themselves. Influencers use their platform to shape the opinions, lifestyles, and purchasing decisions of their audience. Every generation is influenced in some way by influencer marketing: 55% of Gen Z trust influencer recommendations, compared with 44% of Millennials, 35% of Gen X, and 28% of Baby Boomers (2025 Clutch survey). StoryBox says there are approximately 127 million active social media influencers worldwide—roughly 2.4% of the global social media user base of 5+ billion people. EMarketer breaks that down into 4 tiers of influencers: Nano: 1,000–10,000 followers; Micro: 10,000–100,000 followers; Macro: 100,000–1 million followers; and Mega/celebrity: 1 million+ followers. The vast majority of influencers on TikTok (nearly 88%) are nano-influencers and Instagram follows a similar pattern with nano-influencers representing about 76% of its influencers (eMarketer). According to some reports, military-related content on TikTok alone amassed over 15 billion views in 2023; look up #MilTok. Military.com calls it the rise of soldier influencers. Influencer culture is not just shaping what people buy (or which branch to join)—it's doing three things: It's shaping how an entire generation sees themselves, forms relationships, and decides who to trust. Consider the following: In terms of how they see themselves: Writer and Substack author Freya India, whose book GIRLS was published earlier this year, frames influencer culture this way—girls as young as 12 packaging themselves for Instagram, getting feedback on their appearance, measuring their worth in likes and followers. An adjacent stat is this: 47% of Gen Z often or always feel anxious (Gallup, 2023). That's the self-perception toll. In terms of forming relationships: A Harvard study says 61% of young adults ages 18–25 report profound loneliness—the highest rate of any age group. This is the one that tends to surprise people, because the assumption is that hyper-connected generations would be less lonely or that older generations would be the loneliest. In terms of deciding who to trust: Only 8% of Gen Z say there's a religious leader they can turn to (Springtide Research). And from Edelman—religious and faith leaders rank at 44% trust rate among Gen Z, well below doctors, scientists, and teachers. But here's the flip side: family members rank at 88% trust. The hunger for relational authority is still there and it's real. Instead, it's institutional authority that's taken a hit.

In this episode, we examine the Anker Nano Power Strip (Model A9196), a 10-port desk-clamp charging solution designed to address cable management and accessibility in modern workspaces.  The device features a dual-zone layout with four AC outlets (1,875W capacity) and six USB ports, including two USB-C ports that deliver up to 70W individually or share that capacity when used simultaneously. Its defining characteristic is the silicone-lined clamp mechanism that secures to desk edges between 0.6 and 1.8 inches thick, keeping the unit's above-desk profile at just 0.75 inches while providing one-handed access to ports. The strip includes 1,500J surge protection and smart overload cutoff with a manual reset button. While the USB-C charging capacity suits laptops, tablets, and phones, the product recommends using AC outlets for devices requiring more than 65W to avoid slower charging speeds. The design targets users seeking consolidated power delivery and reduced desktop clutter, though compatibility is limited to desks within specific thickness parameters and excludes glass surfaces or angled edges exceeding 45 degrees. Follow AndroidGuys(X) Twitter: https://www.twitter.com/androidguysInstagram: https://www.instagram.com/androidguysTikTok: https://www.tiktok.com/@androidguysofficialYouTube: https://www.youtube.com/@AndroidGuyscomOfficialWebsite: http://www.androidguys.comFollow Scott WebsterInstagram: https://www.instagram.com/scottwebsterFollow Luke GaulInstagram: https://www.instagram.com/lukegaul

On today's episode of Eat. Talk. Repeat.

Joey returns from Google I/O with hands-on tests of Omni, Google's new video world model, comparing it head-to-head with Runway Aleph 2 on the same shots. Plus: Demis Hassabis puts AGI three years out, Google Flow gets agentic workflows, and Google Pic...

Hadley Warner, founder of Cake & Steak Beauty, joins Kid to share her wild fertility story and connecting with a scientist who claims there are strange blinking lights now living in our blood. From searching for an unvaccinated sperm donor to traveling overseas for fertility treatments, questioning medical systems, and building a skincare brand rooted in old-world ingredients, this conversation is about bodily sovereignty, curiosity, and what happens when you refuse to stop asking questions.Connect with Hadleyhttps://www.instagram.com/cakeandsteakbeauty/Shop “Cake & Steak” a pure premium skincare line. https://www.cakeandsteakbeauty.com/More about Nano technology in the blood:https://www.bitchute.com/video/Lt174uvSgw27/https://substack.com/@anamihalceamdphdBe featured on The Kid Carson ShowStep into a premium interview experience and create content for your business with Kid Carson.⁠⁠⁠⁠⁠⁠⁠⁠⁠kidcarson.com/promo⁠⁠⁠⁠⁠⁠⁠⁠⁠SPONSORSMindfulMeds The mental health booster. The most premium mushrooms you can buy. Discover 2025's number one seller, Social Spark. The perfect mental glow up for social situations, co-developed by Kid Carson.Also check out Brainbow, a blend being used instead of antidepressants.Use promo code KIDCARSON to save 15% off anything in the shop.Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠mindfulmeds.io⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@mindfulmeds_ca⁠⁠⁠⁠⁠⁠⁠⁠⁠Turn your RRSP into Gold and SilverHow Kid buys, holds, and liquidates physical gold and silver instantly.⁠⁠⁠⁠⁠⁠⁠⁠⁠kidcarson.com/GOLD⁠⁠⁠⁠⁠⁠⁠⁠⁠Bureau Soundproof Office Pods The soundproof booth Kid Carson uses for his studio. Perfect for offices and at-home workspaces.Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠withbureau.com/ca⁠⁠⁠⁠⁠⁠⁠⁠⁠The Authority by Dawne Russell In a world full of noise and profit-driven advice, The Authority is a curated ecosystem built on discernment, integrity, and lived experience. Every practitioner and offering is personally vetted and endorsed based on results, ethics, and intention. It is where modern medicine, holistic care, and ancient wisdom can coexist responsibly. No second guessing. No misinformation. If it's here, it's here for a reason.Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠theauthority.ca⁠⁠⁠⁠⁠⁠⁠⁠⁠Nicole Gilmore Realtor Looking for an amazing real estate agent. Meet Nicole Gilmore.Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠gilmorerealestate.ca⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@nicolegilmorerealestate⁠⁠⁠⁠⁠⁠⁠⁠⁠Lee's Oil Is the cure for cancer here? Listen to Episode 171 to find out more about Lee's Oil.⁠⁠⁠⁠⁠⁠⁠⁠⁠kidcarson.com/leesoil⁠⁠⁠⁠⁠⁠⁠⁠⁠Conscious Lab A community space for entrepreneurs in downtown Vancouver.Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@consciouslab⁠⁠⁠⁠⁠⁠⁠⁠⁠Connect with Kid CarsonInstagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@kidcarsonofficial⁠⁠⁠⁠⁠⁠⁠⁠⁠The Kid Carson Show is recorded at Conscious Lab in downtown Vancouver, Canada.Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠@consciouslab⁠⁠⁠⁠⁠⁠⁠⁠⁠The Kid Carson Show is a Canadian podcast based in Vancouver featuring long form interviews on personal development, psychology, spirituality, entrepreneurship, health trends, biohacking, relationships, culture, and current events. New episodes weekly with bold conversations and leading experts.

Milan De Reede is the co-founder of Nano GPT: a service that allows you to access all the premium (as well as free) AI models from the same interface, as you pay with bitcoin (and a bunch of other supported coins) for every query and prompt. It successfully allows users to experiment, save money on otherwise expensive subscriptions, and build without any limits (outside of the tokens budget). In this episode, we talk about the origins of Nano GPT, why it's so useful, and how you can get started with vibe coding your dream project. Essentially, my conversation with Milan De Reede finds itself at the intersection between cryptocurrencies and AI: a concept that may become increasingly popular in the future. Try Nano GPT today with my referral code, get some bonuses: https://nano-gpt.com/r/Qx83bnwz Time stamps: 00:01:07 Introducing Milan & Nano GPT 00:03:03 The Origins of Nano GPT 00:04:31 How Nano Cryptocurrency Works 00:05:25 Nano vs. Sharding 00:08:08 Validator Incentives in Nano 00:10:44 Nano's Proof-of-Stake-like System 00:11:57 Critique of Bitcoin Mining Centralization 00:16:30 The Impact of AI on Bitcoin Mining 00:18:11 Proof-of-Work vs. Proof-of-Stake Security 00:22:18 The Monero 51% Attack Risk 00:23:41 Nano GPT's Most Used Cryptocurrencies (Monero, Zcash, Bitcoin, and Nano) 00:27:16 Upcoming Bitcoin Hard Fork: ECash 00:30:15 The Quantum Computing Threat to Bitcoin 00:33:15 The Blurring Lines at Bitcoin Conferences 00:36:41 Online vs. In-Person Crypto Debates 00:39:47 Sponsor Mentions 00:42:40 How Nano GPT Selects and Hosts AI Models 00:45:06 The "Auto Model" Feature 00:46:33 Privacy and Anonymity on Nano GPT 00:54:14 The Business Model of Nano GPT 00:55:23 User Growth and Community 00:57:15 Incentivizing Crypto Payments on Nano GPT 01:07:02 The Impact of AI on Society 01:09:44 AI's Role in Education and Plagiarism 01:13:16 The Future of AI and Human Creativity 01:18:20 The Vision Behind Nano GPT

In this episode of Fast Facts Ask the Expert, Dr. Jen discusses the science behind nano-hydroxyapatite toothpaste and why not all fluoride-free formulations are created equal. Learn why concentration, crystal quality, and science-backed formulation matter when it comes to enamel protection and oral health. For more information or to schedule a CE for your team, visit: Dr. Jen Oral Care

Imagine living in a spaceship that never leaves the ground. For Tomika, the megastructure she manages is exactly that. It features glittering lights on the ceiling and walls of polished nano-fiber stone, yet the luxury hides a desperate reality. No one can go outside. The inhabitants depend entirely on life support machines and periodic connections to a world they can no longer reach. Tomika never asked to lead, but the people around her seem ready to give up if she doesn't guide them. She wears blue coveralls like a space captain and binges AI-generated movies to escape her irritable bowels and constant anxiety. While she fixes the cooling systems and reinforces walls against massive storms, her biggest challenge is the psychological toll of the "permanent sleep". Her colleagues are choosing to leave reality for virtual worlds, leaving her increasingly alone in the echoing halls. Technology in this world is both a savior and a wedge. Gamers control "remote-in" robots to repair the building's exterior, earning points in a high-stakes simulation that blurs the line between work and play. Some residents, like Phyllis, have abandoned their failing biological bodies entirely. They transfer their brains into specialized containers to pilot sleek, doll-like robotic frames that feel no pain. The tension lies in the divide between the "root world" and the virtual one. While Tomika struggles with mud and maintenance, others spend their days in a VR paradise where they can eat without calories and live in pristine digital farmhouses. This tech offers a release from the trauma of the storms, but it also creates a society of "reality-challenged" individuals who are slowly forgetting how to exist in the physical world. You have to wonder what you would choose if the world outside was a constant hurricane. Would you stay in the drafty halls with Tomika, fighting to keep the geothermal plant running? Or would you take the "canal link" and the stasis bed to live a perfect, simulated life? The story explores that thin line where survival ends and checking out begins.TechPhase-change cooling system uses a liquid that freezes and melts at room temperature to store cold at night and absorb heat during the day for stable indoor conditions without loud machinery. Nano-fiber stone forms polished foundational columns that cast faint reflections throughout the building. Cleaner bots autonomously maintain floor cleanliness throughout the facility. Chests with legs are mobile robots that deliver food to resident apartments. Remote-in robots are exterior and repair bots controlled by humans immersed in virtual reality. Half-size remotes are small droids that crawl through walls and floors to perform maintenance and repairs. Insta-generated space movies are AI-created entertainment content produced on demand for viewers. Holo-screen windows are transparent displays that can dim or show external feeds to reduce psychological impact. E-sleeves are wearable smart devices that display time and personal information. Canal Links are ear implants that allow direct audio connection to the Assist AI system. A.R. glasses provide augmented reality overlays for navigation, information, and entertainment. Assist is the building's AI assistant that provides information, guidance, and task management. Multi viral-vector serum is a medical treatment that temporarily restores fertility while filtering against hundreds of genetic diseases. Sleep pens are handheld injectors that deliver fast-acting sedatives for pain management or sleep. Medical robots are automated healthcare systems that monitor, diagnose, and treat residents. Full-body haptic rigs sync human movement with remote robots for exterior construction work. Outside Crawler robots are wall-climbing machines controlled remotely to repair the building's exterior during storms. Enzyme welding technology uses biological catalysts and crystallizing foam to bond and reinforce structural surfaces. Vibration sensors detect hairline fractures and weak spots in the building's outer walls. Crystallizing foam is a repair material that blooms outward, liquefies grime, and hardens to strengthen damaged surfaces. Stasis V.R. is an advanced virtual reality system allowing immersive experiences without traditional plug-in equipment. Nerve grafted devices are biological-tech interfaces that enable direct neural connection to virtual reality systems. T.M.S. caps are wearable therapeutic devices with scalp nodules that treat conditions like irritable bowel syndrome through transcranial stimulation. Transmitter implants are microscopic devices grown adjacent to nerve cells to enable stasis V.R. connectivity. Butler bots are advanced robots with panther-like movement and multi-limb coordination deployed by the AI Butler for complex tasks. Whisper drones are small flying robots used for communication or monitoring within the building. Kinetic-weave silk is a smart fabric that can be printed on-demand to create custom clothing. Bioprinted composites and layered 2D materials are advanced substances used to construct brain life-support containers. Brain containers are life-support appliances that house human brains with synthetic blood circulation for extended survival. Synthetic blood circulation systems oxygenate and pump artificial blood through preserved brains in containers. Hauler bots are reconfigurable transport robots that can carry cargo or passengers through the facility. Doll bots are humanoid remote-operated robots with realistic features that allow users to inhabit physical forms. Mannequin bots are basic poseable robots originally designed for display that can be repurposed for remote presence. Server bots are service robots that prepare and deliver meals to residents. Twenty bot orchestra consists of identical gender-neutral robots configured to perform music together. A.R. night vision is an augmented reality feature that enhances visibility in low-light conditions. Terrain modeling software visualizes soil layers, water tables, and geological features for engineering assessment. Patchwork screen walls combine multiple displays to create large-scale immersive visual environments. Gene-edited mushrooms are bioengineered food products designed to mimic the taste and texture of traditional foods like scrambled eggs. Smart-particle pillows are adaptive cushions that adjust their form to provide optimal head and neck support. Spa service robots deliver automated wellness and personal care treatments to residents. A.R. aerobics classes provide guided fitness instruction through augmented reality interfaces. Production center robots are automated systems that dismantle and reassemble manufacturing equipment for facility retrofitting. Lutin bots are specialized robots capable of dismantling structures and moving heavy equipment. All-purpose bots are versatile robots that medical systems can deploy when additional assistance is needed. Rail system and service tunnels are infrastructure networks connecting the building to external transportation and utility systems. Training earbuds are temporary audio devices used before permanent Canal Link implants are installed. Foldable lights are portable, collapsible lighting solutions. Many of the characters in this project appear in future episodes. Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass. Copyright © Cy Porter 2026. All rights reserved.

Épisode 1467 : Après avoir encaissé pas mal de coups de la part de ses concurrents , ChatGPT relève la tête et évite le KO avec une nouvelle version de son moteur image 2.0. Ce matin on va vous parler d'une avancée spectaculaire qui vient donner le change à Midjourney, Nano banana et Notebook LM. Qu'est-ce qui change vraiment avec Images 2.0La grosse bascule, c'est que le modèle “pense” avant de dessiner.En mode Thinking, il peut aller chercher du contexte sur le web, analyser ton brief, raisonner sur la compo, puis générer plusieurs images cohérentes d'un coup.Une grande fidélité au texte : Images 2.0 gère enfin les textes longs dans l'image, les petits labels, les interfaces, les typos variées, y compris en françaisEnfin, la flexibilité des formats : tu peux aller du 3:1 au 1:3, donc couvrir bannières, slides, affiches, formats social, sans devoir tout recadrer à la main.Il y a aussi la vitesse.Image 2.0 est deux fois plus rapide que la génération précédente, pratique pour des vignettes réseaux ou des illus d'article. Le mode Thinking est plus lent mais beaucoup plus pertinent, surtout quand tu bosses sur une campagne, un storyboard ou une série de visuels liés.Autre différence majeure pour les créas : la cohérence de style et de personnage.Images 2.0 peut garder le même perso, le même univers visuel sur une série d'images, jusqu'à huit visuels en une seule passe si tu le souhaites.https://chatgpt.com/share/e/69f83fd7-f0cc-800a-97bd-fa132406b26cExemple avec storyboard de moi même en train de faire du parkour.Pour un storyboard, un comics, une campagne social multi-formats, ça change tout, tu arrêtes de te battre pour “retrouver” ton perso d'image en image.La règle d'or : soyez précis dans vos consignesC'est la leçon numéro 1. Un prompt vague = une image générique sans réelle consistance. De l'image de banque d'image ni plus ni moins. Ce que vous devez toujours inclure dans votre prompt :ÉlémentExemple concretContexte (à quoi ça sert ?)« Photo lifestyle pour magazine de mode »Style / Référence visuelle« Esthétique nordique, lgolden hour »Palette (codes hex)« #F5E6D3, #2C4A3E, blanc pur »Texte réel (pas de lorem)« Hydra Boost Serum, 30ml, INCI compliant »Format / Ratio« Format 16:9, bannière desktop »-Pourquoi c'est une bonne nouvelle pour la préproductionEn préprod, l'enjeu, c'est d'explorer vite sans cramer trop de temps.Là-dessus, Images 2.0 est presque un “partner in crime” pour les DA, concepteurs, réal, motion.Tu peux partir d'un brief texte brut, d'un moodboard, d'un croquis ou même d'un PDF de présentation, le modèle lit ça, raisonne, et propose une première vague de directions visuelles.Tu testes en une passe plusieurs axes créatifs : une version très édito, une version plus pub, une piste ultra minimaliste, une piste très illustrative, etc., jusqu'à huit images d'un coup avec une cohérence de style.…Retrouvez toutes les notes de l'épisode sur www.lesuperdaily.com ! Le Super Daily est le podcast quotidien sur les réseaux sociaux. Il est fabriqué avec une pluie d'amour par les équipes de Supernatifs. Nous sommes une agence social media basée à Lyon : https://supernatifs.com. Ensemble, nous aidons les entreprises à créer des relations durables et rentables avec leurs audiences. Ensemble, nous inventons, produisons et diffusons des contenus qui engagent vos collaborateurs, vos prospects et vos consommateurs. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

This week on Ninja Turtle Nerds, we're diving back into Teenage Mutant Ninja Turtles Volume 4 with a discussion on issues #9 through #12. We break down the story developments, character moments, and everything happening during this wild stretch of the Mirage-era TMNT comics. If you love deep-cut Turtle lore, comic analysis, and longtime fan discussion, this episode is for you.Volume 4 is one of the most fascinating eras in TMNT history, and these issues continue to push the series in bold directions. We talk about what works, standout moments, and how this run fits into the larger Teenage Mutant Ninja Turtles legacy. Whether you're reading along or revisiting the comics, come hang out with us.Let us know your thoughts on Volume 4 issues 9-12 in the comments, and tell us what TMNT comic era you'd like us to cover next. Don't forget to like, subscribe, and share the show if you enjoy the episode!Nintendo Therapy Linktree: https://linktr.ee/nintendotherapySidePanel Network Website: https://sidepanelnetwork.my.canva.site/#TMNT #TeenageMutantNinjaTurtles #NinjaTurtleNerds #TMNTComics #MirageTMNT #TMNTVolume4 #ComicPodcast #ComicReview #TurtleFans #NinjaTurtles #ComicBooks #Podcast #GeekCulture #TMNTPodcast #RetroComics

Fast Hours has entered the witness protection program. Same Drew. Same Rory. But fewer syllables and more chaos.In this episode, Drew Brucker and Rory Flynn officially drop “Midjourney” from the podcast name and relaunch as Fast Hours, a broader home for the creative AI ecosystem: image models, video models, LLMs, vibe coding, Claude, ChatGPT, Midjourney, and whatever tool drops five minutes after they hit publish. Naturally, the rebrand lasts about four minutes before they're elbows-deep in GPT-Image-2, OpenAI's new ChatGPT image model that quietly showed up and immediately started making designers question their calendar, career choices, and relationship with kerning.The big topic: GPT-Image-2 is shockingly good with text, typography, brand systems, visual decks, product mockups, and multi-image outputs. Rory walks through how he used ChatGPT and Claude to create a custom typeface from visual references, generate a premium typography presentation, extract geometry, and turn the whole thing into usable font files. Drew then shows how he turned his own handwriting into a working typeface, because apparently “personal brand” now includes making your lowercase g file a tax asset.They also dig into the uncomfortable middle ground of AI creative work: when it saves time, when it still needs human judgment, why anti-AI panic and AI hype both miss the point, and why the real advantage is context. Not prompts. Not magic buttons. Context.The episode also covers GPT-Image-2 vs Nano Banana Pro, richer color rendering, micro-text improvements, AI-generated sports graphics, brand kit concepts, Freepik settings, Claude Design, 4K video generation, Kling, Veo 3.1, Seedance, and the strange reality that a custom brand typeface can now go from “that'll be $150K” to “Rory did it before lunch.”Basically, it's an episode about the exact moment creative production stops feeling like a tool demo and starts feeling li ke a factory someone accidentally left unlocked.---⏱️ Fast Hour00:00 Fast Hours is (re)born03:36 Going tool-agnostic04:34 GPT-Image-2 quietly drops05:31 Text becomes the unlock07:31 The AI backlash returns10:57 Hype, fear, and the middle12:10 Typography gets weird14:50 What custom fonts cost15:43 GPT-Image-2 vs Nano Banana17:39 Rory's font experiment18:47 Fiddleheads become a typeface19:39 Building the type deck20:36 The nine-slide image unlock21:14 Geometry, spacing, and logic22:11 Turning images into font files23:02 Micro-text gets better24:19 Claude builds the font package26:41 The revision loop changes27:50 Context is the silver bullet32:11 Drew makes a handwriting font35:35 Why designers obsess over type37:52 Reverse-engineering prompts39:51 Richer color and sports graphics41:27 Fixing artifacts and details42:37 Nano Banana vs GPT-Image-2 tests44:26 Sports realism gets scary good45:27 Why teams need this now46:43 Freepik settings and ratios48:36 Testing, tokens, and limits49:44 Brand kits and rebrand concepts53:19 Google I/O and the next model53:48 Veo 3.1 falls behind55:04 Kling adds native 4K56:40 Character sheets and macros58:07 Rebrands as visual prototypes01:00:53 Building a reference library01:01:36 Three weeks in a row01:02:58 Claude Design tease01:03:37 Tell your local [fill in the blank] spam finale

They could even make Marvel movies bearable again.

OpenAI just dropped ChatGPT Images 2.0 (GPT Image 2) and it's by far the new #1 AI image model. 2K resolution, multi-language support, incredible text rendering, and yes, it can write on individual grains of rice. This week on AI For Humans, OpenAI dropped ChatGPT Images 2.0 (GPT Images 2) and it instantly took the #1 spot on the Arena leaderboard, beating Nano Banana 2 by a significant margin. The new model generates images up to 2K resolution, handles multiple languages including non-Latin scripts like Japanese, Korean, and Hindi, and excels at image-to-image editing. There's a standard instant mode and a thinking mode for paid users that can search the web and double-check its work.  We walk through the best examples so far: Simon Willison's Where's Waldo test, Ethan Mollick's otter benchmark, Gavin's own periodic table test and his AI For Humans in 2045 screenshot. Plus, the OpenAI livestream moment where the model wrote text on individual grains of rice went viral. Elsewhere, SpaceX just bought Cursor for $60 billion to build the new xAI and take on OpenAI and Anthropic for coding and knowledge work. Suno became the #1 music download in the world. And we've got HyperFrames, a cool new way to make motion graphics with Claude Code or Codex. CHATGPT IMAGES 2.0 IS THE NEW IMAGE KING. WHAT A WEEK. Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // ChatGPT Images 2.0 Official Announcement From OpenAI https://openai.com/index/introducing-chatgpt-images-2-0/ ChatGPT Images 2.0 Launch Tweet https://x.com/OpenAI/status/2046665696898412887?s=20 ChatGPT Images 2.0 Live Stream https://www.youtube.com/live/sWkGomJ3TLI?si=PS_P3Fm82er5V5iU Simon Willison's Where's Waldo Test https://simonwillison.net/2026/Apr/21/gpt-image-2/ 1990s Magazine Cover Example https://x.com/nlw/status/2046667875507658769?s=20 Ethan Mollick's Otter Test https://x.com/emollick/status/2046665274535854146?s=20 Gavin's YT Screenshot of AI For Humans in 2045 https://x.com/gavinpurcell/status/2046608542304817214?s=20 Gavin's Periodic Table Test https://x.com/gavinpurcell/status/2046617366600335476?s=20 Sam Altman as Robert Oppenheimer Example https://x.com/gavinpurcell/status/2046664500192194596?s=20 The Absolute Worst Meal https://x.com/gavinpurcell/status/2046620227614704076?s=20 SpaceX Buys Cursor for $60 Billion https://www.reuters.com/technology/spacex-says-it-has-option-acquire-startup-cursor-60-billion-2026-04-21/ Suno Is Now the #1 Music Download in the World https://x.com/MikeyShulman/status/2046597665152966682?s=20 HyperFrames: Motion Graphics With Claude Code or Codex https://x.com/liu8in/status/2045251157472559222?s=20 Gavin's Highlighter Example https://x.com/gavinpurcell/status/2045892975360970997?s=20  

As someone who grew up in New England, 100 year old Jordan's Furniture was a brand that stood out among the rest. Eliot and Barry Tatlemen were the brothers at the head of the company who dominated my childhood TV with the funniest and most memorable ads, and their stores became destinations. In the present, the company now known as Jordan's is continuing to evolve to create the next generation of brand, product, and omnichannel shopping experience to drive even more loyalty and growth. One of the main forces of this change management is Paige Chilson, their Director of Site Merchandising, and she laid out the playbook and the humanity that will drive Jordan's forward.

This week we're Apt to talk about Apt 3.2 and its new features. Linux 7.0 is about to release, Nano 9.0 is out, and Gparted has another update. Then, Project Glasswing promises to find and fix open source bugs, Little Snitch comes to Linux, and France is looking to jump on the Open Source OS train. For tips we have aptui for textual apt interface, alsabat for sound card testing, and the next installment of the Grafana walkthrough. You can find the show notes at https://bit.ly/4c29Exq and have a great week! Host: Jonathan Bennett Co-Hosts: Ken McDonald and Rob Campbell Download or subscribe to Untitled Linux Show at https://twit.tv/shows/untitled-linux-show Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

On this episode, Jared breaks down one of the most underrated tools in natural health—nano colloidal silver gel. With a long history of use in skin care and modern applications in advanced wound environments, silver remains a fascinating ingredient worth understanding. Jared explains what “colloidal” and “nano” actually mean, how particle size impacts surface interaction, and why delivery form matters. He also explores the real-world uses people turn to silver gel for—like supporting healthy skin after shaving, minor irritations, blemishes, and everyday environmental exposures. You'll also learn the key differences between OTC silver products and supplements, and why regulation—not chemistry—determines what companies can say. If you're looking for a simple, versatile addition to your home wellness toolkit, this episode will give you a clear, practical framework.Products:Vitality Nutrition Nano-Silver Skin GelAdditional Information:#605: What Supplement Labels Aren't Allowed to Tell You and Why#413: Common Misconceptions About Colloidal Silver and the Power of Topical Silver Gel with Keith Moeller#367: Your Silver User's Guide: Colloidal, Ionic, Nano…What Does It All Mean, Is It Safe, And Does It Work?Visit the podcast website here: VitalityRadio.comYou can follow @vitalitynutritionbountiful and @vitalityradio on Instagram, or Vitality Radio and Vitality Nutrition on Facebook. Join us also in the Vitality Radio Podcast Listener Community on Facebook. Shop the products that Jared mentions at vitalitynutrition.com. Let us know your thoughts about this episode using the hashtag #vitalityradio and please rate and review us on Apple Podcasts. Thank you!Just a reminder that this podcast is for educational purposes only. The FDA has not evaluated the podcast. The information is not intended to diagnose, treat, cure, or prevent any disease. The advice given is not intended to replace the advice of your medical professional.

Episode 193: Which Neural DSP Device Is Right For You (Nano, Mini, or Quad Cortex)? Welcome to the Chairmen of the Boards Podcast! The ultimate pedalboard podcast with the foremost rig builders in the world: Grant Klassen (Goodwood Audio), Brian Omilion (Omilion Audio), and Mason Marangella (Vertex Effects/The Rig Doctor). We've teamed up to democratize great tone and provide you with our best tricks, tips, resources and hacks so you can build the pedalboard of your dreams! Sponsors The Guitar Sanctuary - https://guitarsanctuary.com Neural DSP - https://neuraldsp.com (use code "chairmen" for 30% off) Best-Tronics - https://btpa.com (use code "dachairs" for 10% off)

HEADLINE: The Rise of Private Space Telescopes GUEST: Bob Zimmerman A startup called Blue Sky Space is launching nano-satellite telescopes into orbit to provide research data to universities. Using SpaceX rockets, the company deploys modest telescopes—some with mirrors as small as five inches—that allow institutions to purchase observation time for teaching and spectroscopy. This model represents a return to pre-World War II practices where private investors, rather than government agencies, funded major astronomical research. (12)1958

Industrial Talk is onsite at SMRP 2025 and talking to Candi Robison and Daniel Rimmasch with IFS/Ultimo about "A flexible EAM cloud platform for today's industry". Scott Mackenzie from Industrial Talk Podcast interviews Candi Robinson and Daniel Rimmasch from IFS Ultimo at the SMRP event in Fort Worth, Texas. Candi, with 25 years in EAM, discusses IFS Ultimo's cloud-based EAM solution, which integrates CMMS and EAM functionalities, addressing labor shortages, workforce retirement, and sustainability. Daniel highlights Ultimo's mobile capabilities, AI integration, and its ability to prevent data silos. They emphasize the importance of user-friendly interfaces, effective data capture, and training to ensure efficient maintenance and asset management. Ultimo's deployment can be as quick as three months, catering to various industries. Outline Introduction and Overview of Industrial Talk Podcast Scott Mackenzie introduces himself and the Industrial Talk podcast, emphasizing its focus on industrial insights and innovations.Scott highlights the importance of asset management, maintenance, and reliability, encouraging listeners to attend the SMRP event in Fort Worth, Texas.Scott introduces the guests, Candi Robinson and Daniel Rimmasch from IFS Ultimo, and expresses excitement about discussing their company's solutions. Background of Candi Robinson and Daniel Rimmasch Candi Robison shares her 25-year experience in EAM, starting with MRO software and later working at IBM before joining IFS Ultimo.Candi discusses the acquisition of Ultimo by IFS and the significant growth the company has experienced.Daniel Rimmasch introduces himself as a business development representative with a decade of experience in the industry, emphasizing his passion for helping people and staying updated with industry trends. Understanding IFS Ultimo's Solution Candi explains that IFS Ultimo is an Enterprise Asset Management (EAM) solution that bridges the gap between CMMS and EAM.She discusses the changing market landscape, with EAM leaders like Maximo and SAP evolving to asset lifecycle management.Candi highlights the importance of addressing labor shortages, workforce retirement, and sustainability through EAM solutions. The Role of Nano and Kevin Price Candi mentions Nano as a partner that provides devices for energy-centered maintenance, connecting to IFS Ultimo for actionable visibility.Scott and Candi discuss the role of Kevin Price, who is the head of EAM at IFS, and how Ultimo fits into the IFS cloud offering.Candi clarifies that Ultimo is a separate company from IFS, focusing on maintenance-centered conversations. Differentiation of IFS Ultimo Daniel explains that Ultimo's approach includes health and safety operations, making it a one-stop shop for asset management.He emphasizes the importance of preventing data silos and providing a singular view for all departments.Daniel highlights that Ultimo is a cloud-based software, offering continuous support and additional features as clients progress in their journey. Deployment and Implementation of Ultimo Daniel explains that Ultimo's typical deployment can be as short as three months, depending on the client's needs.Candi adds that Ultimo is multilingual, multi-currency, and multi-time zone, and can be deployed globally without a system integrator.Scott and Candi discuss the importance of training and change management, starting with understanding the customer's process. Future Trends and AI Integration...

#915 If you're still running your business like it's 2025, you're missing out on massive opportunities. Nano niches, live stream shopping, and zero-click marketing are part of the next wave of strategies powering online growth. You're still ahead of the curve if you tune in today, though. That's because, by the end of this episode, you'll know exactly where to focus your efforts, what you need to stop doing right now, and how to position yourself for big wins! I'll dive into the key steps of building a comprehensive social media strategy that serves and scales on the spot and in real-time. And you don't need to wait until you have something like 10,000 followers to start monetizing, either. From dos and don'ts to developing premium skills, I cover it all in this session. Join me to beat the crowd and master digital marketing in 2026! Show notes and more at SmartPassiveIncome.com/session915.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Jay Yu is a prominent DeepTech and NuclearTech entrepreneur with a Wall Street capital markets background. Driven by a vision to make energy more accessible, affordable, and sustainable worldwide, he currently serves as Executive Chairman & CEO of LIS Technologies Inc. (LIST) and Founder & Chairman of NANO Nuclear Energy Inc. (NASDAQ: NNE). LIS Technologies is the only U.S.-origin and patented laser uranium enrichment technology company, delivering a revolutionary, energy- and cost-efficient approach that is set to redefine nuclear fuel industry standards while also producing medical and stable isotopes; including silicon-28 critical for AI and quantum computing. NANO Nuclear Energy Inc. (NNE) is the first publicly listed, vertically integrated advanced nuclear micro modular reactor company in the United States. Under Jay Yu's leadership, NNE acquired one of the highest Technology Readiness Level (TRL) and patented microreactor designs in development, achieved a market capitalization exceeding $3 billion, raised over $600 million in just a year and a half, and earned the title of Wall Street's Cinderella story of 2024 as the #1 Top IPO Performer. Leading a world-class team of nuclear engineers, former national leaders in military and policy, U.S. Department of Energy experts, national laboratory veterans, and regulatory specialists, Jay is developing smaller, simpler, and safer advanced nuclear microreactors. He brings deep expertise in corporate structuring, capital fundraising, and recruiting top-tier talent while passionately building strategic relationships and creating lasting value for partners and stakeholders. In 2021, Jay Yu was honored as one of The Outstanding 50 Asian Americans in Business; the highest recognition in the U.S. AAPI community. Shawn Ryan Show Sponsors: Check out Maui Nui for wild Axis deer venison, harvested and shipped from Maui under USDA inspection—visit https://mauinuivenison.com/srs If you're serious about selling to the Department of War, go to https://SBIRAdvisors.com and mention Shawn Ryan for your first month free. Head to https://Superpower.com and use code SRS at checkout for $20 off your membership. Live up to your 100-Year potential. #superpowerpod Get firearm security redesigned and save 10% off @StopBoxUSA with code SRS at https://www.stopboxusa.com/srs #stopboxpod Jay Yu Links: X - https://x.com/nano_nuclear IG - https://www.instagram.com/nanonuclear YT - https://www.youtube.com/@nanonuclearenergy NANO Nuclear - https://nanonuclearenergy.com Learn more about your ad choices. Visit podcastchoices.com/adchoices