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In this episode, Ray Cochrane digs into Anthropic’s Model Hardware Standard. It is a shared driver that lets an AI agent run real lab equipment, from pipetting robots to the lasers inside a quantum computer. He also covers OpenAI’s builder’s guide to GPT-5.6, Google’s new Expert Intelligence book feature, Apple’s M5 Ultra Mac Studio, and a judge’s order forcing Google to stop hiding rival app stores. Finally, he weighs in on Apple’s proposed 15 percent link-out fee, Meta’s Australia numbers, the White House deputizing private hackers, and why rivers obey a 1957 math rule. – Want to start a podcast? Its 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 quick personal update. He is hunting for tickets to Michigan for his dad’s anniversary, and he has been learning Blender and Godot on the side, mostly modeling and blocking out levels. Consequently, he asks listeners for advice on starting a big game project, and he plans to record his progress, maybe as a time lapse. Then it is straight into the featured story. Anthropic’s Model Hardware Standard: A Driver for the Physical World The featured story comes from Anthropic, which opened a research preview of the Model Hardware Standard, or MHS. Cochrane frames it as the other side of the question NVIDIA’s world models raised two weeks ago: when do AI agents start touching actual machines? A typical lab runs a microscope, a liquid handler, a robotic arm, and a plate reader, each from a different vendor with its own control software. One Janelia researcher in the post launches seven programs in three languages just to start an experiment. Anthropic says wiring a setup like that takes weeks or months of specialist work. MHS is a driver, the same kind of translation layer a printer uses, except every device gets described with a tiny set of commands like read and write. Devices announce themselves on the network. A plain-English reference file then records what each machine measures, what can be adjusted, and which safety limits get enforced no matter what the agent asks. Agents then reach the hardware through the Model Context Protocol, the command line, or plain code. Cochrane sees the same move the industry keeps making, from coding harnesses to RSS and JSON: agree on a standard and let everyone build against it. In fact, he calls MHS the hardware version of MCP. The partner results carry the segment. QuEra builds quantum computers from individual atoms held by lasers that must hold their frequency to about one part in a trillion. A four-person team spent months on a relock script that worked 58 percent of the time. However, four copies of Claude iterating overnight through MHS produced a decision-tree script that recovers the laser in about six seconds, and it passed 99.3 percent of 700 blind trials. Carnegie Mellon wrote MHS drivers for four instruments across three incompatible computers in about eight hours, then ran dose-response experiments three times faster and blocked all six deliberately induced faults. Genentech, meanwhile, showed the limits. Claude used the same pump speed for water, a foamy protein solution, and a human had to explain that the bubbles were a physics problem. That gap in physical intuition is what sticks with Cochrane. He doubts it will change soon, and he suspects the fix will arrive as sub-agents or sub-models that judge a request against an expected outcome. He also connects MHS to a video of racing robots that never learned to stop at the finish line. What happens, he wonders, once they can read a distance sensor through a shared standard? Still, he calls the announcement a fantastic read and points listeners to the full article. 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. GPT-5.6 Does the Same Work for a Fraction of the Cost OpenAI’s builder’s guide to GPT-5.6 leads the headlines. Cochrane recaps the three tiers from episode 1870, Sol, Terra, and Luna, plus the separate dial for reasoning effort. On BrowseComp, a benchmark for digging up obscure facts on the web, the old GPT-5.5 flagship scored about 84 percent on a run that cost 33 dollars three months ago. Luna now matches that score for a dollar thirty-three, and OpenAI has since cut Luna’s price another 80 percent. Browser Use reports Luna finishing 78 percent of its hardest browser tasks for about 14 dollars, against 80 percent for roughly 235 dollars from the best available model. The guide’s other big addition is a multi-agent beta flag. It lets the model handling a request spawn parallel helper agents that report back to a root agent inside a single API call. However, Cochrane is unimpressed by the timing. He has been running that pattern in Claude Code for months, so he sees OpenAI copying a workflow other companies already ship rather than inventing its own. Along the way, he plugs Claude Code’s remote-control sessions, which let him send prompts from his phone to a terminal session at home. Google Lets Gemini Read the Books You Actually Bought Google launched Expert Intelligence, a name Cochrane calls quite the reach. The feature lets you drop a book you bought on Google Play Books into Gemini Notebook, formerly NotebookLM, and ask questions answered only from that book, with citations. Cochrane sees real power here for students, since he once used NotebookLM to organize scattered course PDFs. Additionally, publishers get a cut, which he calls a far better deal than the wholesale scraping of books that trained earlier models. Nevertheless, he asks who loses out, because a paid publisher does not automatically mean a paid author. He floats the same idea for artists, even a penny per use, then admits that may be too idealistic. Apple’s M5 Ultra Mac Studio Is Built to Run Big Models at Home Back in episode 1861, when Apple killed the Mac Pro, an M5 Ultra Mac Studio was expected later this year. Now it is here. The M5 Ultra brings up to a 36-core CPU, an 80-core GPU, and 512GB of unified memory moving 1.2 terabytes per second. Apple claims up to 4.3 times the AI performance of the M3 Ultra. Thunderbolt 5 can also cluster four machines into one memory pool for up to three times faster inference. The M5 Max model starts at $2,499 and the Ultra at $5,499, with shipping on September 22 and the 512GB configuration arriving in late October. Cochrane finds the clustering pitch ridiculous at that price, but he invites anyone who spends the money to report back. Apple Opens a Manufacturing School in Houston Apple also opened a 20,000-square-foot Advanced Manufacturing Center in Houston. It offers free classes for small and midsize manufacturers, from circuit board design to hands-on time on a scaled-down production line, with college students joining later. Cochrane calls it a solid step in the bring-manufacturing-home movement. The bigger story is the campus itself, which builds Apple’s AI servers and will add the first US-assembled Mac mini line later this year. That ties back to the Mac mini shortage that followed the OpenClaw rush, when Tim Cook warned of months-long waits. Cult of Mac was still reporting four-month waits in late July. However, Cook blamed chip supply rather than assembly, so Cochrane is not counting on relief just yet. Amazon EC2 Turns Twenty Amazon EC2 turned twenty this week, which Cochrane admits makes him feel old. The 2006 beta offered one server size in one region for ten cents an hour. Each came with a 1.7 gigahertz Xeon and under two gigabytes of memory, and accounts were capped at twenty servers. Today AWS offers more than 1,200 instance types across 39 regions. Consequently, Cochrane credits the company with turning that tiny product into the backbone of cloud and AI computing. Intel Gamer Days: Two Free Games, With Fine Print Intel Gamer Days runs through September 13. Buy a qualifying Core Ultra Series 2 or 14th Gen desktop chip, a Core Ultra Series 3 laptop, or an Arc graphics card. In return you get Star Wars: Galactic Racer plus the Tomb Raider: Legacy of Atlantis remake. GamesRadar values the pair at about 120 dollars. However, neither game is out yet, and codes must be redeemed by October 31 even though the Tomb Raider remake ships in February. Cochrane calls that awful, but he still tells qualifying buyers to claim the deal early. Note that 13th Gen chips do not qualify. Judge Orders Google to Stop Hiding Rival App Stores A jury found Google’s Android app monopoly illegal in late 2023, and Judge James Donato ordered rival stores into the Play Store in 2024. On August 13, Epic’s lawyer demonstrated that searching Play for “store for apps” returned Walmart instead of any app store. Donato called that “not acceptable” and ordered three fixes within a week. Searches must surface third-party stores, listings need a plain install button, and the “are you looking for” interstitial has to go. Cochrane welcomes the monopoly being chipped away, but he notes that a controlling entity still sits atop every app store. In his view, community hubs like app stores and social media need a public infrastructure layer. He suspects governments skip that investment because companies already run the services, while selling your data. Apple Wants 15 Percent of Purchases Outside Its Store The other half of the Epic saga is Apple’s proposed link-out commission. After the 2021 anti-steering injunction, Apple charged 27 percent on purchases made through external links. A judge held it in contempt last year, and the Ninth Circuit then allowed a fee limited to the cost of running the system. Judge Yvonne Gonzalez Rogers refused to wait for the Supreme Court, writing that “further delay is unwarranted.” Apple filed 15 percent for standard apps, 10 percent for subscription renewals and partner programs, and 5 percent for small businesses. It also conceded the rate would be “essentially zero” under the appeals court’s cost yardstick. Since Apple has charged nothing on link-outs since the contempt ruling, Cochrane sees this as a raise. He calls a cut on purchases made on a developer’s own website disturbing. He also recalls reading about the size of Uber’s payments to Apple, and he questions whether that kind of percentage is sustainable for companies without funding. Meta Says It Has Cut Off 750,000 Australian Kids Meta reported locking out more than 750,000 Facebook and Instagram accounts in Australia by the end of June under the country’s under-16 social media law. Over 500,000 of those were removed before the law even took effect. Detection relies mostly on AI scanning posts and bios for tells like birthday messages, plus user reports and blocks on re-registration. However, the post gives no count of mistaken removals or appeals, and the regulator’s early data shows under-16 usage falling only from about 86 to 81 percent. Meta wants a single age signal at the operating system or app store level, and Cochrane agrees completely. He connects it to the MHS idea from the top of the show: platforms need a standard flag to reference instead of guessing. The White House Deputizes Private Hackers Earlier this month the White House signed a National Security Presidential Memorandum that lets vetted private security firms run surveillance and disruption operations against overseas criminal groups. The Justice Department and Homeland Security hold the contracts and oversee the work. Firms need a proven track record, vetted staff, and a bond of at least $1 million, and must submit operating procedures within 60 days. Cochrane finds the measure aggressive in a good way and hopes it deters attacks on innocents. Still, he takes Kevin Beaumont’s warning seriously that the private security industry profits from ransomware existing. He compares it to the old Head and Shoulders myth: why solve the problem that drives your revenue? A Weather Satellite Watched the Eclipse Shadow Cross Europe Cochrane skips the readout on this one and simply sends listeners to ESA’s site. The MTG-I1 weather satellite captured the Moon’s shadow sweeping across Europe during the August 12 eclipse. Watching a shadow cross an entire continent, he says, was a first for him. Additionally, it leaves him excited about the research happening beyond the planet. Rivers, Deltas, and the Number 0.6 Quanta Magazine explains Hack’s law, which John Hack discovered in 1957 while measuring streams in Virginia and Maryland. A stream’s length tracks its drainage area raised to the power of 0.6, regardless of the rock underneath, and satellite data later confirmed it worldwide. Computer models in the 1990s showed why. Channels that capture extra runoff cut deeper and steal from their neighbors until the network settles into the arrangement that wastes the least energy. Now a University of Texas Rio Grande Valley team has found the same 0.6 exponent in river deltas, which spread water out rather than gathering it. Nobody knows why yet, and Cochrane calls it a really cool read. Sugar Helped Grow the Human Brain, Too A new paper in Science, co-authored by Jennie Brand-Miller at the University of Sydney, adds a third ingredient to the story of early human brain growth. Alongside meat and cooking, natural sugars from ripe fruit and honey may have fueled it too. The brain is about two percent of body weight but burns twenty percent of resting energy. It runs on glucose, which meat and marrow barely supply and raw starch cannot release without fire. The team modeled ancestral diets from a chimp-like baseline through Homo erectus and concluded that the earliest hominins may have drawn over 65 percent of their energy from natural sugars. Cochrane stresses that it is a model, not fossils, and notes that paleoanthropologist Marina Lozano thinks the authors place widespread cooking too early. Still, he loves this kind of deep research. Retracing the steps to our own intelligence, he suggests, could hint at what it takes for intelligent life to develop at all. A Brain Rhythm That Tells Doctors Where to Aim Finally, Science Daily covered a University of Cologne study on deep brain stimulation. That is the implanted-electrode treatment that eases Parkinson’s tremors for some patients but not others. Andreas Horn’s team recorded from 50 patients using both the implanted electrodes and an external magnetic scanner. They identified a circuit between the electrode’s target and the frontal cortex that oscillates at 20 to 35 cycles per second. Stronger coupling there predicted bigger improvement after surgery, though the study, published in Brain, shows correlation rather than cause. First author Bahne Bahners hopes the finding helps tune DBS more precisely, especially for patients who have not responded well. Cochrane half-jokingly asks whether MHS might one day drive those electrodes, and he calls brain disorders the hardest thing in the body to treat. Cochrane wraps with housekeeping: become a GNC Insider at geeknewscentral.com/insider, email geeknews@gmail.com with questions or comments, 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, promises to catch everyone next Monday, and wishes listeners a great night. The post Eyes, Hands, and a Sense of Timing #1874 appeared first on Geek News Central.
Send us Fan MailAmazon PPC audit with AI turns four Sponsored Ads reports into fast Amazon PPC optimization for ACoS, bids, search terms, budgets, and wasted spend. The Gemini workflow checks data quality, groups keywords, reviews placement and impression share, and flags scale-up or fix-or-kill actions. The process also shows how NotebookLM can organize source-based video knowledge for faster Amazon advertising research and campaign decisions.If 50–100 PPC campaigns are eating hours and hiding wasted spend, get an account-specific plan to tighten bids, budgets, search terms, and ACoS before more ad spend slips away: https://bit.ly/4jMZtxu#AmazonPPC #AmazonAdvertising #AmazonFBA #AmazonSeller #GeminiAIWant free resources? Dowload our Free Amazon guides here:Download the 2026 Amazon AI Operating Manual: https://bit.ly/3SLmusPAmazon Receiving Delay Guide: https://hubs.ly/Q04cdD4c0Amazon Catalog Spring Cleaning: https://hubs.ly/Q046BVfp0Amazon Proft Margin Defense 2026: https://hubs.ly/Q042trRH0Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTAmazon Seller Strategy Report 2026: https://bit.ly/3YN1RME2026 Ecommerce Website & SEO Readiness Checklist: https://hubs.ly/Q04btghf0Amazon 2026 PPC guide: https://bit.ly/4lF0OYXTimestamps00:00 - Four Amazon PPC Reports for AI Analysis00:47 - 30-Day Amazon PPC Audit With Gemini02:02 - Gemini Data Sanity Check for PPC Reports02:45 - Cluster Amazon PPC Search Terms and Keywords04:04 - Scale Bids Using ACoS, ROAS, and Impression Share05:17 - Fix or Kill Wasted Amazon PPC Targets06:14 - PPC Placement, Budget, and 7-Day Action Plan07:31 - Use NotebookLM With YouTube Sources08:27 - Build NotebookLM Mind Maps From Video Content09:30 - NotebookLM for Source-Based Research10:01 - ChatGPT Voice to NotebookLM Workflow-----------------------------------------------------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show
Your team is not failing because they are lazy, and your AI is not failing because it is “dumb.” The real problem is usually simpler and more painful: unclear expectations. When we delegate without clarity, we force people, virtual assistants, and AI agents to guess. Guessing is an invisible tax that shows up as rework, delays, awkward customer interactions, and the nagging feeling that you are working harder than you should. We walk through a practical workforce clarity framework for moving from chaos to clarity so your business can scale in the digital world. Think backyard fort versus steel building: one is slapped together, the other is built from a blueprint. We talk about documenting your messy reality, pulling apart SOPs and job descriptions, then rebuilding them into an expectation playbook with explicit success metrics. We also explain how to divide work into three clear lanes: strategic human decisions, tasks that can be optimized with AI, and work that is perfect for remote virtual assistant specialists. Then we show how NotebookLM can act like a planning partner when you feed it the right sources: your workflows, catalogs, website content, and even a “confession dump” voice note that captures your vision and constraints. From those inputs, you can generate an implementation plan, clearer delegation briefs, and assets like a slide deck or infographic that keep everyone aligned. If you want better AI output, tighter operations, and a customer experience that stays consistent as change accelerates, hit play. Subscribe, share this with a leader who needs clarity, and leave a review so more teams can stop guessing and start building with a blueprint.Send us Fan MailSupport the show
What if the stories that have captivated humanity for thousands of years are actually teaching us how to navigate our own lives?In this special episode of Your World of Creativity, host Mark Stinson tries out a new podcast format: Creative Book Reviews — exploring influential books that have shaped the way creative people think, lead, and make an impact.For this review, Mark turns to one of the most influential books on storytelling: The Power of Myth by Joseph Campbell and Bill Moyers.Even more unique, the book discussion is presented as an audio overview created with NotebookLM, offering listeners both timeless ideas and a firsthand experience of an emerging AI learning tool.In this episode, you'll discover:Why myths continue to shape our thinking in the modern worldJoseph Campbell's groundbreaking concept of The Hero's JourneyHow George Lucas used Campbell's work to build the story architecture of Star WarsWhy the most memorable stories share universal psychological patternsHow myths provide a framework for navigating change, uncertainty, and personal transformationWhy your own career, business, and creative life may be following a hero's journey right nowHow shared cultural stories influence leadership, innovation, and even the future of societyWhat today's AI tools can teach us about learning, research, and communicating complex ideasKey ideas exploredThe Hero's JourneyCampbell's timeless framework reveals that great stories—and great lives—follow recognizable stages:The Call to AdventureLeaving the Ordinary WorldTrials and TransformationReturning with New WisdomThe conversation explores how this pattern appears not only in mythology and literature, but in entrepreneurship, career transitions, creative work, and personal growth.Myth as a Framework for LivingRather than viewing myths as ancient stories disconnected from modern life, Campbell argues they help us:Make sense of uncertaintyFind purpose during difficult seasonsBuild resilienceBetter understand ourselves and our place in the worldStar Wars Through Campbell's LensThe episode examines how George Lucas intentionally built Luke Skywalker's journey around Campbell's research, demonstrating why audiences instinctively connect with stories rooted in universal human experience.Creativity, Storytelling & AIListeners also experience NotebookLM's conversational audio format — an example of how AI can help synthesize ideas, review books, and support lifelong learning while preserving the richness of great source material.Mentioned in this episodeThe Power of Myth — Joseph Campbell & Bill MoyersThe Hero with a Thousand Faces — Joseph CampbellThe Masks of God — Joseph CampbellStar Wars and the influence of Campbell's Hero's JourneyNotebookLM as an AI-powered research and audio learning platformA Note from MarkThis episode complements our interviews with creative professionals from around the world. Alongside conversations with artists, entrepreneurs, designers, musicians, scientists, and innovators, we'll occasionally explore books whose ideas continue to inspire creative thinking across disciplines.I'd love your feedback.Did you enjoy this AI-generated book review format? Should we continue reviewing influential books alongside our guest interviews?Let me know on LinkedIn or through the podcast website.If you enjoyed this episode, please subscribe, rate, and review Your World of Creativity. Every review helps more creative thinkers discover the show.Until next time…Keep reading. Keep learning. Keep asking better questions.And together, we'll keep Unlocking Your World of Creativity.
This podcast was created using NotebookLM.This podcast examines the growing crisis in geriatric oral healthcare, where an aging population with complex dental needs is outpacing the available specialized workforce.
Hiring feels straightforward until you're staring at a shrinking bank balance, a stressed team, and a job description that quietly grew into three jobs. We tell the story of a COVID-era hit that cut clients and revenue, then exposed a dangerous pattern: good people “stepping up” by absorbing extra tasks that don't match their strengths. That kind of hero mode works for a moment, but it's a fast track to burnout, morale loss, and eventually weaker customer service.Our fix starts with a simple visual: the “exploded diagram.” Instead of treating a role as one solid block, we break it into its true components like email management, data entry, scheduling, research, reporting, planning, client calls, copywriting, social media, and basic AI support. Once you see the parts clearly, you can stop overpaying for an expensive local generalist and start staffing the work the way it actually exists. We also unpack the hard truth about turnover: replacing someone can cost anywhere from 50% to 200% of their annual salary when you factor in recruiting, onboarding, training, and lost productivity. Small businesses can't afford many mis-hires, so reducing risk is the whole game.From there, we talk about building a durable model with remote specialists like virtual assistants in the Philippines and trusted project support abroad, plus AI tools as force multipliers. Gemini Notebook (formerly NotebookLM) becomes part of the system, helping take chunks of work off your team's plate so your highest-value people can focus where they truly excel. If you're trying to protect cash flow, improve operations, and build a team that lasts, this one will give you a practical way to redesign your hiring and delegation strategy. Subscribe, share this with a business owner who's overwhelmed, and leave a review with the task you'd most like to offload.Send us Fan MailSupport the show
This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Eyal Ben-Ari, Elisheva Rosman, and Eitan Shamir's article entitled, 'Neither a Conscript Army nor an All-Volunteer Force: Emerging Recruiting Models'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.
Paul Lipsky has mastered Google AI and uses it to run his Youtube Channel (over 456k subscribers) and his life. In this episode, he shows how to use Gemini, NotebookLM and Google AI Studio in your business, content, and life. Start using Gamma today: https://gamma.app/?utm_source=youtube... Want to get Paul's guide to using Google AI, subscribe to New Era, our weekly newsletter: https://calumjohnsonshowlinks.lovable.app/ Follow Us! https://x.com/calum_johnson9 https://www.instagram.com/calumjohnson1/?hl=en https://www.youtube.com/@PaulJLipsky Timestamps: 00:00 Intro 02:16 Why Google AI gives you an unfair advantage 09:21 How AI can help you escape your 9-5 15:16 The easiest AI business opportunity right now 19:18 [LIVE GOOGLE AI DEMO STARTS] 31:38 The difference between Gemini, ChatGPT and Claude 35:10 Why NotebookLM is a goldmine 44:20 How to learn anything with NotebookLM 52:16 How to use NotebookLM in your business 55:27 What is Google AI Studio? 01:08:32 The perfect prompt for building any app 01:13:57 Do this first if you're new to Google AI
*** HOUSTON WE HAVE A PROBLEM***Estamos al tanto de que los primeros minutos de este episodio presentan un problema de audio. Ya identificamos la causa y estamos trabajando con la plataforma para resolverlo lo antes posible. Agradecemos tu paciencia y te avisaremos en cuanto quede corregido.*** HOUSTON WE HAVE A PROBLEM***¿Sientes que la Inteligencia Artificial avanza tan rápido que te estás quedando atrás?
令和八年（2026) 鎌倉マインドフルリトリート in 鎌倉一法庵 山下良道（一法良道、スダンマチャーラ比丘、Ngawang Sangye) 概念の牢獄からの脱出 NotebookLMによるスライデック 青空の主体と聖典 NotebookLMによる問答 お盆接心 in 裏磐梯一法庵 ８月６日の新宿朝日カルチャーセンターでの講義のNotebookLMによるスライデック。 青空としての私 息苦しい「この部屋」、から第二の主体への目覚め ８月の引力 「現実の世界の外」を実感する季節 ワンダルマ仏教入門 理論と実践 於：朝日カルチャーセンター新宿教室 やはり国債は国民の借金ではない／そもそも国債ってなに？／なぜ国債は返済しなくていい？（クレディ・アグリコル証券チーフエコノミスト 会田卓司）【ニュースの争点】
Slovenski slavist Matija Murko je s fonografom na Balkanu odkril, da ljudski pevci iste pesmi ne ponavljajo dobesedno, a vseeno vztrajajo, da pojejo natanko to, kar so se naučili. To spoznanje je usmerilo Milmana Parryja k dokazu, da je tudi Homerjeva epika nastala na enak način — sproti, iz naučenih formul, brez enega samega izvirnika. Epizoda sledi tej sledi vse do sodobnih jezikovnih modelov, ki besedila prav tako ne jemljejo iz arhiva, temveč jih tvorijo v trenutku. A razlika je bistvena: guslar je odgovarjal svoji skupnosti, model pa nikomur. Kaj to pomeni za vlogo človeka, ki mora danes presoditi, kaj od tako ustvarjenega besedila sploh drži? Cel članek: beri.kvarkadabra.net Dialog je ustvarjen s pomočjo orodja NotebookLM.
Search is getting outsourced and not to interns. To AI agents. When someone wants a new fridge, they no longer have to measure, browse, and click through a dozen sites. They can snap a photo, ask an agent, and get a clean list of real options that fit. That same shift is already happening across buying decisions, and it changes what it takes for your business to show up.We walk through a live, practical example using Grok to interpret a refrigerator photo and run multiple searches at once. Then we zoom out to what matters for marketing, local SEO, and customer acquisition: AI agents are now “shopping” your website, Google Business Profile, reviews, and social presence before a human ever sees you. If the agent can't understand what you do or why you're a fit, you get skipped and you never make the curated list.To make this concrete, we use a simple metaphor: your business is a refrigerator. When agents open the door, do they find fresh, specific, updated information in your voice, or do they find the same generic leftovers as everyone else? We explain how NotebookLM helps you stock that fridge by pulling together messy inputs like site copy, onboarding docs, FAQs, and reviews, then turning them into clear, trustworthy messaging that both humans and AI can grasp fast, without falling into “AI slop.”If you want to stay visible in an agentic search world, listen through, pick one update you can ship this week, and then subscribe, share the episode with a business owner who needs it, and leave a quick review with your biggest takeaway.Send us Fan MailSupport the show
Not only does NotebookLM have a new name, it's got a new game. Gemini Notebook is agentic by default, can think and reason, and can output files now in just about any format. On this week's AI at Work on Wednesday, we show you the 7 New Updates in the new Gemini Notebook, how they work, and how you should use them. Gemini Notebook: 7 New Updates and What They Unlock -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini Notebook Rebrand from NotebookLMSeven Major Gemini Notebook Feature UpdatesCollections for Organizing AI NotebooksAutomatic Google Drive Sync IntegrationExpanded Gemini Notebook Output FormatsAgentic Intelligence and Gemini 3.5 UpgradeSecure Cloud Computing for Each NotebookGrounded Data Responses and Web ResearchHands-On Demo: Real-World Enterprise Use CasesStudio Outputs: Infographics, Mind Maps, QuizzesMulti-Modal Asset Creation in Gemini NotebookKey Differences: NotebookLM vs. Gemini NotebookTimestamps:00:00 Gemini notebook updates released03:12 Gemini notebook new updates08:14 Notebook LM's unique features13:02 Using Gemini notebook prompts14:48 Discussing Gemini notebook features18:01 Enhanced Gemini notebook flexibility23:02 Creating quizzes with Gemini notebook26:30 Limitations of AI-generated responses29:04 Gemini notebook's new capabilities30:51 Episode wrap-up and subscription pitchKeywords: Gemini Notebook, Gemini notebooks, NotebookLM, Notebook LM, Google Gemini, AI updates, Gemini 3.5, anti gravity agentic search, Google Drive syncing, cloud computer, agentic intelligence, AI agent, secured cloud sandbox, personalized AI, output formats, PDFs, PNGs, documents, spreadsheets, PowerPoints, markdown files, charts, images, live demo, long form content, content grounding, hallucination reduction, source pane, chat pane, studio pane, multimedia assets, Nano Banana, Google's audio model, cinematic video, Google's VO model, chain of thought, skill creation, codex skill, browser control, agentic harness, pricing evidence, Luna and Terra pricing, sensitivity analysis, recommendation dashboard, AI budget calculator, mind map, infographics, quizzes, RSI maturity ladder, recursive self improvement, executive decision brief, Excel calculator, agentic workflows, web search integration, grounded AI, model architecture, frontend models, tiered architecture, adaptability to price reductions, vendor risk, human review time, latency, agentic co-worker, artifact creation, editable Excel workbook, multi-output prompting, token efficiency.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Damon Coletta and Peter D. Feaver's article entitled, ' Civilian Monitoring of U.S. Military Operations in the Information Age'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.
Will Harvey got into real estate the way a lot of people do. He dropped out of college after a double hip surgery ended football, landed on a mortgage desk in 2015, and figured out fast how leverage worked. He bought his first house on a $30,000 salary with his dad as a co-signer, rented out two of the three bedrooms, and house hacked a deal before he knew the word for it.Then came the part nobody puts in the brochure. Three rentals in an expensive market, no money left, and the discovery that owning property is not passive. As Will puts it, the only genuinely passive position in real estate is limited partner, and you pay for it by giving up control.So he kept moving. He left a high-paying W2 to flip houses, rolled the flip profits into syndications, took bonus depreciation against the gains, did a couple of deals as a GP. And somewhere in there he figured out what actually excites him is the finance side of the table, not the operating side.That led to a friends-and-family fund in 2023, an accidental first hard money loan, and eventually a dedicated 506(c) fund built on a specific idea: that hard money underwriting is due for a rebuild from first principles.Will walks through the seven risks he underwrites against, why he thinks most lenders collect the wrong paperwork while skipping the single most predictive input available, and how he uses AI to compress an underwriting file from hours to about ten minutes without giving up the verification step.He also talks about the $70,000 he lost on a deal he already knew he should not have taken, what he looks for in an investor conversation before he will accept a wire, and why the boring end of real estate is the point rather than the compromise.What you will learnWhy Will chose debt over equity, and what that decision has to do with temperament rather than returnsThe first-principles exercise he ran on lending, and the seven risks it producedWhich document lenders over-collect, and which input they skip entirelyHow AI actually sits in his underwriting stack, and where he still verifies by handWhat he screens for in a first conversation with a prospective investorWhy he charges points and has no prepayment penaltyConnect with Will HarveyWebsite: harvey-capital.comEmail: will@harvey-capital.comLinkedIn: search Will Harvey, Harvey CapitalThis week's bookTitan: The Life of John D. Rockefeller, Sr. by Ron ChernowWill also mentioned The Book of Elon, a compilation of Elon Musk's own thinking pulled from interviews. He reads both the same way: printed out, at night, when his mind has slowed down enough to actually absorb it.Chapters00:00 Cold open: the first call with a borrower00:35 Welcome01:40 Who Will Harvey is and what Harvey Capital does02:27 Dropping out, double hip surgery, and the mortgage desk03:43 House hacking the first deal before he knew the term04:44 Nothing about owning rentals is passive05:29 Leaving a high-paid W2 to flip houses06:31 The realization: he is not an operator, he is a finance guy06:58 The 2023 friends-and-family fund07:50 The accidental first hard money loan08:06 Graduating from a 506(b) to a 506(c)10:02 Why debt instead of equity13:13 How he protects capital13:32 Applying SpaceX first principles to lending15:53 The seven risks he underwrites against16:25 Over-documenting what does not matter17:00 The borrower's story as the real underwriting input18:49 A word from Elevista Connect19:52 Screening investors on temperament, not just accreditation20:04 Why the one-year term filters people out21:00 Boring is the whole point23:20 Where the borrowers actually come from23:30 Google ads, and turning them off24:15 The REIA coin flip28:39 How Will uses AI to run the business28:44 Claude Code on the terminal30:40 Recording borrower calls as a data point31:52 Compressing hours of underwriting into ten minutes32:36 Incumbent lenders move like turtles33:01 Why flippers actually buy speed35:09 No prepayment penalties, and the reason why36:23 Lightning round36:52 What drives him37:50 The best advice he ever got38:25 Buffett: price and value are two different things39:40 The decision he would take back40:44 Losing $70,000 on a deal outside the buy box41:32 The return on brain damage41:52 What is on his nightstand41:58 Titan, and The Book of Elon43:33 Ed's NotebookLM workflow for books he never gets to45:55 How Will defines success46:12 Outcomes are a distraction, focus on the process47:50 You only get 18 summers48:56 How to reach Will49:03 harvey-capital.comThis has been the Real Estate Underground. Don't forget to subscribe, it helps us grow.Elevista - Speed as a Service™Elevista Connect is the first AI-powered lead conversion system built for real estate investors.
Sarah Urbut is a physician-scientist at Harvard Medical School and the Massachusetts General Research Institute. She and her colleagues published a landmark paper in Nature on patient health journeys for 3 different cohorts—the Mass General Brigham patients, the UK Biobank, and the All of Us research program—with a cumulative 683,000 individuals, 348 diseases, and up to 52 years of follow-up. Integrating electronic medical records and polygenic risk scores (N=36). An AI model was developed and validated called ALADYNOULLI, with each individual represented latent disease signatures (N=21), mathematically and biologically driven. An example of a patient's dynamic life journey (health arc) is provided in the Figure below (adapted from the paper, made with NotebookLM). The longitudinal story for each individual is key here. Using a Gaussian process, the risk continually shifts like a GPS navigation when you make a wrong turn and you are re-routed. Considerable effort was dedicated to addressing selection bias with inverse probability weighting.Here are 20 temporal pattern signatures for the UK Biobank cohort, which help to provide the biologic mechanism of a person's disease, as shown for multiple conditions like heart attack, breast cancer, and depression. That is, the same disease phenotype can link to different genomic pathway underpinnings. An example for breast cancer could be related to signature 8 or signature 7; the latter tied to inflammation and metabolic abnormalities. This biological pattern could also be used to detect likely medication failure (such as SSRI treatment for depression) and predict rare diseases.In fact, the model was used to discover genomic signatures for different diseases, as shown below.This model predicted 1 and 10-year risk of diseases at the individual level and far surpassed routinely used clinical prediction calculators such as the pooled cohort equation (PCE) for coronary artery disease (0.89 vs 0.68, respectively, 1-year risk ) and the GAIL model for breast cancer (0.783 vs 0.54, respectively). ALADYNOULLI also surpassed accuracy for precision when compared with the recent Delphi-2M model that I wrote about hereThe ALADYNOULLI paper is packed with information and equations and is not easy to get through without a sophisticated math background. That's why the summary infographic below (made by Notebook LM) may be helpful to grasp its main findings Prediction of Your Health Trajectory in Context The new model substantively adds to many other recent reports that include Delphi 2M, APOLLO, and AURORA that predict future health events up to 20 years out. Each of these models were different with respect to inputs, how patient data were represented (tokens, embeddings, or latent states), and prediction outputs as briefly summarized in the Table I made below. Notably, the inputs are complementary and likely additive, such that the deeper and longer (longitudinally) the data re for each individual, the better predictive accuracy will be possible. Adding to these models are many specific disease prediction (e.g. cancer, asthma, diabetes, neurodegenerative diseases) and sources of data (such as sleep lab, wearables, or high-throughput proteomics).We are now seeing intense efforts at medical forecasting which will continue to evolve and something that was not previously possible in patient care. What I mean is that we could provide a rough sense of a patient's risk for, let's say Alzhiemer's disease, but could not temporally place when it might occur. Age 65 or 95? It makes a huge difference. And so does the ability to apply counterfactuals, what-if scenarios for the individuals to reduce the risk, markedly defer a condition's appearance, or even fully prevent it. That's why ALADYNOULLI adds yet another dimension, different methodology, multiple patient cohorts, and novel findings that further add to a new prediction and prevention dimension of medical practice. It couldn't have been done with multimodal AI.Note to readers: I wrote this post entirely. There was no AI used except to generate 3 Figures by Notebook LM (Figure 1,3 and 4) as noted. Figure 2 above is from the Supplemental information of the paper. I have no COI related to this post.******************************A big thanks to Ground Truths subscribers from every US state and 212 countries. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. If you're not a subscriber, please join!If you found this interesting PLEASE share it!Paid subscriptions are voluntary and all proceeds from them go to support Scripps Research. They do allow for posting comments and questions, which I do my best to respond to. Please don't hesitate to post comments and give me feedback. Let me know topics that you would like to see covered.Many thanks to those who have contributed—they have greatly helped fund our summer internship programs for the past two years. It enabled us to accept and support a record number of 61 summer interns here with us now! These are high school, college and medical students selected from thousands of applicants. We couldn't do this expanded program without the funds coming in through Ground Truths.And thank you Harshi Peiris, Ph.D., DOCTOR KLOVER
Sign up for Practi, a new platform that helps law firms use subscription billing.Here are the top 5 takeaways from this episode:* Human intelligence still matters: AI raises the floor for everyone, but curation, taste, and expertise are the irreplaceable human skills that will differentiate you in an AI-saturated world.* Don't accept default output: Iterating with AI tools, going back and forth, refining, and personalizing, produces far better results than accepting whatever the first draft delivers.* Use purpose-built tools for the right job: No single tool does everything well, so curating the right AI tool for each specific task (research, drafting, learning, client explainers) is essential.* Ground AI in your own sources: Tools like NotebookLM (now known as Gemini Notebook) that answer only from sources you provide are more accurate and trustworthy than relying on general training data, especially for legal work.* Build a second brain: Curating a personal knowledge base from your own materials, past work, and expertise gives you a searchable, queryable resource that extends and supplements your own memory and judgment.__________________________Want your question to be answered on a future show? Fill out this short survey.Have subscription model question? Check out this free resource to ask all of your questions at notebook.practi.ai.Sign up for Paxton, my all-in-one AI legal assistant, helping me with legal research, analysis, drafting, and enhancing existing legal work product.Get Connected with SixFifty, a business and employment legal document automation tool.Sign up for Gavel, an automation platform for law firms.Visit Law Subscribed to subscribe to the weekly newsletter to listen from your web browser.Prefer monthly updates? Sign up for the Law Subscribed Monthly Digest on LinkedIn.Check out Mathew Kerbis' law firm Subscription Attorney LLC.Want to use the subscription model for your law firm? Click here to sign up for a new platform that helps law firms use subscription billing. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.lawsubscribed.com/subscribe
In this episode, I'm talking about “separation season” — that stretch of late summer when you can slow down just enough to get intentional, sharpen your goals, and put yourself ahead before fall begins. I share how I'm using this time to focus on planning, improving my business systems, and staying consistent with personal goals instead of letting August slip by.A big part of that strategy is AI. I walk through the ways I'm using tools like Claude, ChatGPT, and NotebookLM to support both my professional and personal life — from organizing work, comparing documents, and tracking email to building meal plans, adjusting macros, and staying on top of fitness goals. I also explain how AI has become a true companion in my workflow, not a replacement, and how it can help you stay accountable, efficient, and focused.If you're looking for a way to make the most of the rest of summer and head into fall with more clarity and momentum, this episode is for you.Check out the supplements and workouts that keep me on track all year long here: https://linktr.ee/lauracatina
A tech tip about how Microsoft's new Copilot Notebook stacks up against Google's NotebookLM for business collaboration and file management.Some concise advice on why being copied by your competitors should be viewed as validation rather than a threat.00:00 Tech Tip04:58 Concise Advice11:00 Wrapping Up
“Send me an email” sounds harmless, but it's the moment your prospect decides whether you're worth 30 minutes. We walk through a simple shift that changes that outcome: stop sending walls of text and start sending a clear visual. One well-placed infographic helped us earn a real meeting with decision makers we had never met, because it made the value easy to grasp in seconds.We unpack why visual storytelling works so well for leadership communication, proposals, and sales follow-ups. An image triggers emotion and that emotion fills in missing context fast, helping people feel understood, feel safe about the plan, and picture themselves in a future successful state. That's the real power behind “a picture is worth a thousand words,” and it explains why your brain locks onto visuals before it commits to reading paragraphs.Then we get practical with AI workflow. After the call, we take the transcript and the back-and-forth context, drop it into NotebookLM, and prompt it to clearly outline the path forward. The result is a set of slides and infographic-style assets that support the written follow-up and make it easy for your contact to sell the idea internally to their leadership team. We also share what a weekly live show content engine can look like, including planning, production, pre-promotion, transcript handoff, and turning transcripts into blogs, social posts, newsletters, and short clips.Subscribe for more simple, tactical AI communication ideas, and if this helps, share it with a friend and leave a review so more people can find the show.Send us Fan MailSupport the show
This week, we explore the strange and useful things you can attach to a trailer hitch, from hammocks and cranes to Starlink poles and a toilet seat. We'll also talk about why you shouldn't jack directly on pinch welds, review the Arctic Air Grip Go, visit the world's largest penguin in Cut Bank, Montana, use NotebookLM to interrogate manuals, and explain why a stereo gets reviewed, or doesn't. Kid likes it moist... Hitch Accessories for Vanlife Kaxiwei Hitch Mount Umbrella Holder https://amzn.to/4fpmrvC Viking Solutions SwiveLift Crane https://amzn.to/4yYn7zQ Hitch Mount Vise Plate https://amzn.to/4bIC92w Hitch Mount Hammock https://amzn.to/4wYYYXU EEZ RV Hitch Mount Starlink and Flag Pole https://amzn.to/4beY2q7 Log Sawhorse https://amzn.to/4vSIJec Bumper Dumper https://amzn.to/4fHXOZZ PRODUCT REVIEW Arctic Air Grip Go https://amzn.to/4wl3KPy RESOURCE RECOMMENDATION NotebookLM for Manuals https://notebooklm.google.com/ A PLACE TO VISIT World's Largest Penguin, Cut Bank, Montana https://www.roadsideamerica.com/tip/797 FCC Notice: If you purchase anything from these links, the show will receive a small fee. This will not impact your price in any way.
This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Barış Ateş's article entitled, 'Civil–Military Relations and Education of Military Elites in Türkiye: Lessons Learned From the Past'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.
The Kanz initiative (ka.nz/hack) was far more than a hackathon. It was a bold, free global program to democratize AI by enabling everyone, from complete beginners to experts, to build and publish real AI applications in one week. Fully sponsored and aligned with Saudi Vision 2030, it combined daily structured training, hands-on building, community energy, and a successful Guinness World Record attempt.Standout innovations:No coding required, AI-first approach: "Build first, learn by creating." Participants used cutting-edge tools (Claude, NotebookLM, Replit, HeyGen, Suno, Gamma, etc.) to create apps, agents, images/videos, avatars, music, presentations, and automations—emphasizing practical results over theory. 7-day tangible curriculum: Daily sessions (evenings KSA time) produced immediate outputs. Everyone published a working app on Day 1 and left with a portfolio, verified certificate (Saudi HRSD + Lebanese American University), and real skills.Strong incentives: MacBooks, Kindles, watches, job opportunities, and employer spotlights. Projects were AI-graded then judged, with top entries showcased.Radical inclusivity: Targeted teachers, marketers, business owners, job seekers, designers, and absolute beginners—not just coders.~51,700 registrations.24,800+ live participants from 150+ countries.~197,000 training hours.Guinness World Record (July 15, 2026): 14,075 learners in one AI video lesson — officially adjudicated. ka.nz3,500+ AI projects built, including practical tools like real-time fact-checkers and automation systems.Massive scale and success:Success drivers: zero cost, instant results, vibrant global community, modern tools, and partnerships. It proved AI creation can be accessible to everyone, not just engineers, potentially sparking countless innovations and careers. Deep Dive: Roy BaladiRoy Baladi, CEO of Kanz, is the visionary behind it. With a dual degree in Computer Science & Finance from Virginia Tech (Math minor) and 15+ years in tech/finance, he has built marketplaces and inclusive hiring platforms. Background: Wall Street derivatives experience (Citi), product roles at LearnVest and SmartRecruiters, Chief Marketplace Officer at PerkSpot. He founded/led Jobs for Lebanon (Board President): 5,000+ employers, 25,000+ seekers, 750+ hires. Through Kanz and Jobs for Humanity, he has reached over 1M people with AI tools and training, placing thousands (including underrepresented talent and Saudi women via Saudiaat).Philosophy: Roy views AI as a practical empowerment tool for employment, agency, and lifelong learning. He focuses on removing barriers, teaching by building, and using technology to restore humanity to hiring. Prior programs trained 2,000+ in agentic AI. The hackathon scaled this mission globally. Why It Matters: Digital literacy now means building with AI. Kanz didn't just teach chatbots-it empowered tens of thousands to create. If even a fraction of projects become tools or businesses, the impact will far outlast the record. Roy Baladi's work shows large-scale AI education is not only possible-it's transformative.
GE Vernova posts a record quarter as gas and grid surge while wind orders drop 40%. Plus Envision grid-connects its first AI turbine for Fortescue. Visit https://woma2027.com/ to register speaking and sponsorship interest! Sign up now for Uptime Tech News, our weekly newsletter on all things wind technology. This episode is sponsored by Weather Guard Lightning Tech. Learn more about Weather Guard’s StrikeTape Wind Turbine LPS retrofit. Follow the show on YouTube, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary’s “Engineering with Rosie” YouTube channel here. Have a question we can answer on the show? Email us! If you haven’t visited woma2027.com, you should do so right now because we are putting together all of the, uh, events at WOMA 2027, which is March 3rd through 5th in Melbourne at the Pullman, Matthew, Pullman East? Pullman East Melbourne. And it’s packed full. Our, in fact, actually, we have so many people applying to attend the event, we’re getting a little nervous on if the size of the venue is not large enough, and we, we have a lot of people already chime in wanting to be sponsors, which is great. But I wanna talk about what you will experience at WOMA. We’ve done it for two years now, and the feedback has been great. And Yolanda, you’ve been to the one just this past February, and participated in panels and saw some of the, uh, workshops and was involved in a lot of WOMA 2026. What are you expecting in 2027, and what did you think of 2026? Yolanda Padron: I thought [00:01:00] 2026 was great. I loved seeing everybody there. Uh, got to meet a lot of new people. It was, it was sweet. There was a lot of r- people returning from WOMA 2025, um, and a lot of new people that were told that that was the event to be at to learn about wind, which was really, really nice to hear. Uh, something that I loved, especially since we’ve been through quite a few conferences since then and before then, was just the fact that, like, you’re, you’re just talking about problems and just talking about solutions, and you’re talking about real stories, and it’s nothing that’s super, super public. You know, like, you, you can have real conversations with real people. I know during a panel I mentioned a, a solution to an issue that I had seen that was kind of niche, and then, uh, like three minutes later, like I had had some people come up to me and we all talked about the problem that we saw and then [00:02:00]talked about their problem, and it was really similar, and obviously in a totally different continent. And it was, it was good to, to be able to have those conversations that you usually wouldn’t have elsewhere, especially if everything’s just really, really public and just big and you’re having a lot of people sell at you, and it’s, it’s just something that we’ve really shied away from. What, what was your favorite part of it? Matthew Stead: I, I think, um, it was really the fact that it was a a technical, useful, helpful conference rather than having some rando talking about things that they’re told to talk to you about Allen Hall: It’s real answers from real problem solvers. And everybody’s gonna be in Melbourne on the 3rd through the 5th of March 2027. If you’re interested in attending, you need to go to woma2027.com. If you’re interested in sponsoring, it’s also woma2027.com. There’s limited [00:03:00]sponsorship left, so if you wanna do something, you better get in quick. And if you wanna attend the event, and I suggest that you do, that you visit woma2027.com and get registered today The Uptime Wind Energy podcast, brought to you by StrikeTape. Protecting thousands of wind turbines from lightning damage worldwide. Visit StrikeTape.com. And now, your hosts Welcome to the Uptime Wind Energy podcast. I’m your host, Allen Hall. I’m here with Rosemary Barnes, Matthew Stead, and Yolanda Padron. It’s been a busy day as we record because GE just announced its second quarter earnings and a bunch of things about the business. They had an investor call early, early, early on the East Coast, and even earlier for those on the West Coast of the US, and it was a very good quarter for GE, but a really lopsided one. Uh, GE Vernova reported second quarter orders of [00:04:00] $24.2 billion, up 88% with a backlog that has now climbed to $176 billion. Free cash came in at $5.1 billion. Man, $5.1 billion is a lot of cash, everybody, which is more than the company generated in all of last year. So they made more in one quarter in cash than made in all of last year, and management is raising its full year guidance, but the strength is coming from gas power and the electric grid, not from wind. The wind segment saw orders fall 40% and revenue slip 10%, and the company still expects wind to lose about $400 million this year. Although in the investor call, they did say that the forecast for wind in Q3 and maybe even Q4 was to be essentially break even on the EBITDA scale. So that’s a, a, a good number. It does seem like GE is being more [00:05:00] aggressive on pricing and selective on the projects they are choosing to participate with. Repowers was way down, if I remember correctly. Uh, they are not doing a lot of that at the moment. So there is a slowdown they’re seeing in wind, but they’re more than making up for it in gas turbines and electrification. Orders for gas turbines are out to ’30, ’31, and I think they’re gonna close out all of ’30, ’31, um, book orders for gas turbines here shortly. So if you want a gas turbine, Matthew, you’re gonna have to get in line because your GE has a long list of, of clients in front of them. What does this mean for wind? When I hear the discussion where GE is focused on gas and electrification because of the huge cash flow that comes in their door- Does that mean a good positive things for wind because they have the cash to kinda hang around wind? Or is it gonna be set aside for other [00:06:00] more profitable business segments? I Matthew Stead: mean, GE’s had a number of setbacks over the years. Um, you know, we know, we know all about them. We’ve been talking about them, you know, multiple times. But, you know, they’ve gotta just wait it out, don’t they? Um, you know, wind is not gonna go away, so they just need to wait it out, get their problems out of the way, get their cash flow in, build the order books again, just wait for things to improve. Um, I, I think one thing I just wanna pull out, the Sands Ear, i- isn’t that a massive achievement? Allen Hall: It is. It’s, it’s a colossal engineering achievement on its own. Forget about just delivering and manufacturing all those turbines and getting them installed. And that’s a pattern energy project, and Fairwind I think was involved with that in terms of project development, EPC items. It’s huge. It’s gigantic. But it may be the last one we see in the United States for a while. Matthew Stead: And but Vineyard, you know, they’ve gotta resolve that, don’t they? We’ve spoken about that before. Get that one out the way, clear out the decks and, yeah. That’ll come good. Allen Hall: Rosemary, of our former GE [00:07:00] employees, I guess we have two of them here. I’m one. Not of wind, but of another division. What’s your thoughts on GE Vernova at the minute? Rosemary Barnes: These days I see them through the O&M lens. That’s how I work with them, is when my clients need support for all their wind farms and It’s just, it’s just never enough. It’s not a GE-specific thing. Uh, you know, across Australia, anybody with a full service agreement does not… Uh, the, the company performing that agreement just gives the impression that they just do not have enough, um, uh, enough people. Y- you know? It’s just, just hands or maybe it’s budget. Uh, I guess it, it’s both at the same time. Yeah, I mean, I see some good things like their, the pace of new technologies has slowed and they’re consolidating, which was needed, but it’s just hard to imagine that it’s even gonna be enough considering how many fewer blade engineers that they’ve got now. Like, how are they, [00:08:00] how are they going to get the, you know, the issues with the platforms that they are, uh, pushing, how are they gonna get all that under control with so many fewer engineers? And will they ever be able to, you know, go back to innovating a- again when they’ve lost so much of their, you know, institutional knowledge? Allen Hall: Two things they did not mention during the phone call today or in any of the documents that I saw was TPI Composites and that EPC has acquired that and is now operating the factories, uh, making GE blades. And LM Wind Power was not discussed either, although LM Wind Power has been integrated into the overall financials of the company, so it’s not a standalone financial entity like it was last year. So you can’t really r- read the tea leaves of what’s happening at LM, but nobody talked about or even asked on the investor call what was happening on the wind side. They were very interested in gas turbines and what the order rate was going to be, and GE was concerned [00:09:00] on their side, saying that they’re trying to ramp up production to make more gas turbines, but there’s limitations to how much they can do. Rosemary Barnes: I guess that’s the s- the zeitgeist now, right? Or it’s the, I don’t know, like, it’s, it’s a sign of the times. Everyone’s obsessed with data centers, and for some reason, data centers are obsessed with gas turbines, um, even though, like, it’s not a fast solution to, uh, y- you know, to, to anything. So I don’t… You know, I’m not saying that building a, you know, a wind farm or solar farms, batteries, those are not without challenges. But I really don’t think that the, yeah, gas turbine challenge is so much easier than the, um, yeah, than the renewables challenges. It’s a bit weird to me how everyone has just kind of latched onto, “Oh, you need new power, then it needs to be gas.” It’s just a bit weird to me. Allen Hall: GE was predicting a peak of orders in gas turbines to happen sometime in 2026. They, they think that the demand curve is gonna trend downward because everybody is already in [00:10:00] line essentially, and it’s five years out, so not many other people are gonna join that line to make it seven, eight years out That also indicates that sort of the d- the demand for gas turbines may be waning a little bit, or there’s just a backlog, they just can’t produce more. Is that going to then maybe finally open up the best solar wind discussion for AI data centers? Rosemary Barnes: Yeah, I wonder if it’s partly because y- you know, in a lot of cases… So people wanna build data centers, and then those data centers need power. You can’t just plug into the grid in an easy, timely manner. So then now they’ve gotta BYO their own power, and in fact, in Australia they’ve just announced a, a policy where you will have to… You can bring your own power, and it will have to be renewable, actually, in Australia. So, um, at least that’s, at least that’s a win for, you know, generation source. Allen Hall: Yeah. The, the AI data center discussion and gas turbines in the United States has more recently been focused [00:11:00] on, on the AI data centers that use those gas turbines, and the number of gas turbines that they’re choosing, and that they’re choosing gas turbines that fall under some sort of EPA threshold on size. And what is happening, and which, uh, SpaceX has done and some others have done, is they go underneath that threshold on the size of the gas turbines, and then they, you know, and they daisy chain them together, right? So you, you… Instead of having one massive, I don’t know, two-megawatt generator of some sort, you have a bunch of 200 kilowatts, and you just stack them all together. And the concern is, is that are some of these data centers violating EPA, the… If not the actual rule or the intent of the rule in terms of emissions, and it’s causing a little bit of a stink. It’s, it’s raised enough of, uh, the noise floor about it that you’re, you’re hearing it on podcasts, you’re hearing people involved in AI data ce- [00:12:00] data centers push back on it saying, “It’s all legal. It’s all legal.” So it’s gonna come to a head pretty quickly in the United States. Rosemary Barnes: It was some real, like, real sketchy loophole finding, right? Like, I can’t remember the exact wording, but you’re not supposed to be able to just chuck in a diesel generator or a gas turbine in without any kind of planning, right? But they found a loophole where it’s like, okay, well, you know, it’s just like a truck except for that there’s no truck, and so it was called, like- off-road or non-road use or something. And it’s just, like, clearly not the, um, the meaning of the, of the law, right? The spirit of the law had, like, obviously been broken. In Australia we have a saying, the pub test. It doesn’t pass the pub test. Like, if you said that to someone in a pub, then they would be like, “What the hell is that? That is not right.” They have closed the loophole. However, I think that they also kind of quietly just allowed them to keep the ones that they had or had planned or something, so [00:13:00] it’s, like, overall by far not ideal. But I think that it’s just, like, you can, you can do that for a single site, but it’s obviously, like, the more that you do ridiculous stuff like that, that you lose the community ac- acceptance, which they barely had and definitely don’t really have anymore. Um, and secondly, yeah, like people, uh, people close the loophole and they respond. It’s, it’s much better, and we see it with wind as well. Like, yeah, you can do things technically by the law, but if you wanna have a, you know, sustainable, uh, industry through the years, through the decades, you actually have to kind of, you know, think, “What happens if I do y- push to the furthest extent of the law, um, to get away with whatever I can?” What’s gonna happen is regulation is gonna come down on you and you’ll lose the ability to kind of self-regulate. Allen Hall: We’re gonna take a quick break, but when we come back we’ll meet a wind turbine that runs on artificial intelligence, Rosie.[00:14:00] Delamination and bondline failures in blades are difficult problems to detect early. These hidden issues can cost you millions in repairs and lost energy production. CIC NDT are specialists to detect these critical flaws before they become expensive burdens. Their nondestructive test technology penetrates deep into blade materials to find voids and cracks traditional inspections completely miss. CIC NDT maps every critical defect, delivers actionable reports, and provides support to get your blades back in service. So visit cicndt.com because catching blade problems early will save you millions In the red dirt of Western Australia, a mining company and a Chinese turbine maker are trying something new. Envision Energy says it has grid connected its first [00:15:00] artificial intelligence wind turbine prototype for Fortescue’s Nullagine Wind Project in Pilbara. The full project will use 17 of Envision’s EN182 turbines, each rated for 7.8 megawatts and built to handle mining sites, desert heat, and tough grid rules. The turbines- The turbines pair a self-erecting tower from Nabler Wind with a hub standing an astonishing 188 meters tall. Behind it all sits Envision’s Energy Foundation Model software that company calls the world’s largest physical AI system. The goal is to swap diesel and gas for wind across the mine’s fleet and processing sites. So this is an effort by Fortescue to power mining operations with electricity. It’s a pretty ex- exciting [00:16:00] project if you’re watching. The Envision artificial intelligence piece is an aspect that I didn’t know much about, and I still am trying to gather more information on, because there’s not a ton of info about what AI means in terms of a physical system. And maybe Rosie, you know a little bit more, or Yolande, you can brief us on what this really is. Rosemary Barnes: We just need to start with a pronunciation lesson, Allen. Sorry. Matthew Stead: Not Pilbara, Pilbara. Pilbara. Rosemary Barnes: I, I don’t actually… I hadn’t heard that part about AI and that it doesn’t… I, I don’t know. It’s, it’s such a buzzword that it might not mean anything, you know. However, there’s so many cool aspects to that project that aren’t related to AI. Um, yeah, the tower height, the tower erection technology. I’m interested to hear that they have taken the heat of the environment into [00:17:00] consideration, ’cause that’s one of the, my obsessions actually, as long as I’ve been working on wind turbines, and ever since I found out how, you know, the materials qualification and certification process works, that it just doesn’t take into account the really high temperatures. That’s one of the projects that Padlo has going on at the moment, is, um, putting sensors on some turbines to, like, look into that more. Um, yeah, because we do see in Australia a lot of sites have, you know, even within a few years, they might have 20 years of operation left, but we already see a whole lot of cracks that look suspiciously like end of, end of life fatigue cracks on them. So yeah, we are looking into that more, and it’s very interesting to hear that Envision have taken the heat into consideration. I hope it includes the blade structure as well as just, you know, other turbine components, electronics, and that sort of thing. Allen Hall: It does sound like they’re pairing batteries or BESS with wind turbines, where the BESS is located at the base of the turbine. That would make sense in [00:18:00] Australia, particularly around where mines are, because it tends to be very remote, and storing electricity would make sense. The Discussions I’ve seen on YouTube deal with more on the energy trading side, that the wind turbine stores energy, of course, and it does it very efficiently into the best system, and then the AI system sits on top of that to help arbitrage the energy that’s stored in the battery to make more money. Not a bad way of doing it, but it does lead to a ton of questions about national security, the use of AI, the, uh, and how this is all going to integrate together from a asset manager side. Yolande, I know in the United States we have a lot of restrictions about the technology that is in wind turbines and the, and the firewalls that exist there, where you, you can’t even plug into a wind turbine without having a lot of approvals. Is AI coming in wind [00:19:00] turbines in the US and the rest of the world, or is this mostly a Western Australia event? Yolanda Padron: We talked a little bit about a trading company a couple episodes ago, right? And that was a… It sounded like it’s, it’s coming. Um, I, when I first read the article that we’re talking about for Fortescue, I thought this was more of, like, a SCADA self-learning AI type thing, where, like It, it kind of learns from the, from itself, and then maybe it, it tells you you’re more likely to be seeing some sort of blade issue that wasn’t shown before Rosemary Barnes: I heard, um, Andrew Forrest speak at a smart energy conference earlier this year, and he was talking about not for, um, not for wind, but for the solar and battery projects that they’ve already got there. He called it a self-healing grid, and AI was the technology that enabled that. And so he, [00:20:00] he was saying, and I can’t remember the, the details specifically either, but when there was a, a disturbance, something that would’ve caused the, you know, without the AI, um, you know, layer looking after everything, a fault that would’ve shut the whole site down was able to self, self-heal with no interruption to supply. Um, and that that was the kind of AI that, uh, they were talking about. I believe that the new wind farm addition to that is the same sort of thing, where they’re looking at, you know, a very complex system with… I mean, they don’t have energy prices to deal with, uh, in that case because it’s self-contained. They’re not conne- connected to any external grid. Um, but you know, they’ve got wind, they’ve got solar, they’ve got, uh, so obviously weather conditions related to those two going on. They’ve got batteries, they’ve got, you know, yeah, the, um, availability of every single different… of probably many [00:21:00] thousands of different components in that system that, um, y- you know, you need to make sure that if there’s a failure or when there’s a failure in any one or combination of those things, that you’re always going to be able to reroute around that and kind of heal itself. So it probably does include some of, of what you were saying, Yolanda, but I think when they say this is the biggest physical AI, like, I think that that might be a little bit of a meaningless term because y- you know, like, there’s AI… It, it could be like… I, I don’t know. It, like, what, what does that mean? Like, if you have AI that is, um, you know, playing some role in controlling America’s electricity grids, then that would be the biggest, the biggest one, even if it was, you know, like a tiny little, playing a tiny role. I, I, I don’t know what that specifically means and… Is it bad marketing ’cause it’s just confusing and makes you assume that it’s, um, just meaningless buzzword cool [00:22:00]sounding thing Allen Hall: It’s probably genius marketing because they attach AI to whatever the product is. So we have AI lightning diverters at Weather Guard. EOLOGIX-PING has AI CMS, and Partload has whatever Partload does, AI-Partload. So that’s the smart move, th- uh, because it does seem to raise the value Rosemary Barnes: But you know what? Partload is anti-AI because 90% of our work is you get, you know, drone inspections, and they use AI, and then it w- and it works really, w- it works really… I’d never wanna make it sound like it is bad technology because, you know, the status quo before we had drones with using AI was to just not inspect your blades. So, you know, like, we’re doing much better than that now. But everything that we do is where AI was not able to do it or AI did it wrong. So y- you know, um, like I- we use AI in that everything that comes into us is AI. Allen Hall: Well, if the same AI [00:23:00] technology that is reviewing blade images is being applied inside of a wind turbine, what do you see as a likely outcome there, Rosemary? Rosemary Barnes: Well, it’s not, I mean, it’s not the, it’s not the same. And like I said, uh, it’s very easy for me to be like, “Oh, AI, you know, makes all these mistakes,” but it, I only see the mistakes. I don’t see the 90%-plus of correctly categorized things. I don’t, they’re not relevant to me. Um- Uh, but I think for controlling a complex system, like it, it is… That, that’s a really great application. I mean, I think it’s like with any like super hyped up technology, it’s like really useful in a few things, and that’s what leads to the hype, and then people start to just wanna apply it everywhere. It becomes the, you know, like when the only tool you’ve got is a hammer, everything looks like a nail. Like, that’s where we’re at. Like AI is this, um, is this hammer that we’ve got, and everyone wants to solve every problem with it. And I do it myself, you know. Like I hate writing LinkedIn posts, and so I’ll work with, with Claude or, um, I [00:24:00] use NotebookLM as well to, you know, I draft my LinkedIn post. And you’re like, “Well, th- no, that sucks. Do this, do this, do this.” And then, you know, like half an hour later, you’re like, okay, I could very easily have written my own post in less time, and I could… I, I try again and again because I just, I, uh, you know, hate that kind of writing so much. But yeah, I think that like economy-wide, that’s the problem, that everyone is just trying to whack every problem with AI regardless of whether it’s the right one. Allen Hall: Okay, so there’s gonna be products that are gonna incorporate AI or have AI somewhere hyphenated in the name of the product. What products should not be using AI right now? Matthew Stead: Yeah, I think there’s… Uh, I wanna add to the… You know, go back a few steps. That calling this the largest, you know, physical AI device is complete rubbish really. That’s stupid, really. It’s like, like, like what you said, Rosie. It’s like putting an AI machine on a road, and then it becomes the world’s largest AI infrastructure. I mean, that was, that was pretty stupid, um, [00:25:00] really. And that, that’s just marketing. My, my view is if you can’t explain what it does, you shouldn’t be using the word AI So in marketing, you know, you can’t just say, “Oh, it’s AI ’cause I don’t understand what it does.” You should actually be able to explain, “This is what this product does, and this is why it does it, and we use AI to help make that occur in a smart way.” Rather than just being randomly talking about, um, AI solving all of these complex issues and not actually knowing how it’s done is rubbish. Rosemary Barnes: To answer your question, Allen, I think AI shouldn’t be used for most creative stuff. Like video, um, creation, everybody hates it, and companies keep on pushing it, and it sucks. And I think also it’s kind of… It, it makes people so angry, I think it’s gonna backfire if it hasn’t already for most, [00:26:00] most people that are using it. Um, yeah, so that would be one thing. And also, uh, you shouldn’t use too much AI for, like, I see it heaps on LinkedIn now, and it’s, it’s kind of… Like, at the first time you use AI, you’re like, “Whoa, th- this is pretty, pretty good. Like, this is something, you know, like I could… That’s very similar to the stuff that I, yeah, used to post on LinkedIn or the infographics that I used to make.” But the issue is that, like, it looks that way the first time, but then once you use it a bit and you can recognize that it’s AI, then you see it everywhere and it, it turns you, really turns you off whoever’s put it out there. And so, like, there’s so much on LinkedIn now where it’s, like, just AI-generated things. It’s… Even if, you know, like, if an expert has created it and edited it afterwards and made sure that the output is accurate, then I wouldn’t call it AI slop. But it is also, like, it’s always too [00:27:00] wordy. It’s, um, you know, it’s just like the style is just clearly e- the h- if the point is that you’re trying to express, “I’m an expert. These are my expert opinions. I know what I’m talking about,” AI is not doing that for you. Like, you write your post or create your graphic with AI, it’s just not doing that for you. So I think that that is another example of where people shouldn’t be using AI. Allen Hall: That wraps up another episode of the Uptime Wind Energy podcast. If today’s discussion sparked any questions or ideas, we’d love to hear from you. Reach out to us on LinkedIn. And if you found value in today’s conversation, please leave us a review. It really helps other wind energy professionals discover the show. And please, please, please don’t forget to subscribe so you never miss an episode. For Rosie, Yolande, and Matthew, I’m Allen Hall, and we’ll see you here next week on the Uptime Wind Energy [00:28:00] podcast.
Can't be bothered with email or speak pipe? Text us!We're back! Sort of. Monthly-ish. Regular-ish. With a puppy.In this episode of On the Reg, Inger introduces Latte Sipping Socialist, her new desk dog and emerging productivity expert. Meanwhile Jason has actually been working and explains how ClickUp has become his work gravity well.Then we open the mailbag to discuss:• building a note-taking system when ADHD and object permanence are working against you• combining bullet journals with Zotero, Obsidian and NotebookLM• managing complex or collaborative research projects• Bullet Journal nerdery • Typst as a possible plain-text academic writing tool• cheaper ways to record and edit video• why Monday is obviously the first day of the weekOur major work problem is the vexed issue of AI in doctoral education.Should universities restrict generative AI so students still learn the foundational practices of thinking and writing? Or do bans simply drive AI use underground, without guidance or education?We discuss AI dependency, inconsistent policies, writing as thinking, assessment reform, oral examinations, the future of the dissertation and whether academic writing may become the intellectual equivalent of artisanal stonemasonry.There are no easy answers. There is, however, a small brown-and-white dog who looks suspiciously AI-generated...Things we mention:Visit Tiny Latte on Instagram @coton_lattemewburnDownload Jason's notes on Claude integration in ClickupCurtis McHale's websiteTypist websiteOBS: Alternative to Riverside: https://obsproject.comDavinci resolve studio Rectangle Window management (for mac and windows): https://rectangleapp.com/A system for writing by DottoRooster TV show on HBOThe P In PhD doesn't stand for PromptBuJo sticker shop Got thoughts and feel pinions? Want to ask a question? You can email us on - Leave us a message on www.speakpipe.com/thesiswhisperer. - See our workshop catalogue on www.ontheregteam.com. You can book us via emailing Jason at enquiries@ontheregteam.com- Subscribe to the free, monthly Two Minute Tips newsletter here (scroll down to enter your email address) - We're on BlueSky as @drjd and @thesiswhisperer (but don't expect to hear back from Jason, he's still mostly on a Socials break).- Read Inger's stuff on www.thesiswhisperer.com. - If you want to support our work, you can sign up to be a 'Riding the Bus' member for just $2 a month, via our On The Reg Ko-Fi site
This episode is a compilation of answers to YOUR questions that were asked directly from my listeners who attend my weekly business education YouTube live webcast. I'll be covering the topic on: What is NotebookLM, an analysis of the SpaceX IPO & Can Iran Become a Superpower? and more. Refer to chapter marks below for a complete list of topics covered and to jump to a specific section. Get mentored by Chris: Book a Zoom call to discuss joining my Business Academy, Finance Bootcamp (to get a job in finance) or MBA Degree Programs or for investing/business/personal development coaching: https://haroun.short.gy/1on1CallYTWDownload my free "Networking eBook": www.harouneducation.comAttend my weekly YouTube Live every Thursday's 8am-11am PT. Subscribe to my YouTube Channel to receive notifications. Chapter Marks: 0:25 Welcome0:45 SpaceX IPO with NotebookLM2:08 What Is NotebookLM?3:55 SpaceX IPO Analysis13:28 Maximizing Startup Growth15:25 How Far Could Tesla Fall?16:58 Will Oil Reach $120?18:00 Concerns About Mamdani19:27 Trump and Emergency Powers20:00 Is China in a Recession?21:26 Best Class for Finance Careers23:09 Will Claude Replace Jobs?25:28 Who Has an AI Moat?27:12 Trump's Canada Tariffs28:15 Could Stripe Acquire PayPal?29:49 Is Democracy Still Best?30:41 Is India Moving Left?31:23 Could Iran Become a Superpower?33:26 Advice to My Younger Self35:05 Building an Options Bot36:19 IBM Stock Analysis37:56 How to Analyze Competitors41:00 Is Quant Finance Still Worth It?44:25 Fed Cut or Hike?45:40 What Is the VIX?48:24 Offshore Jobs and Tech49:35 How to Use Credit Cards50:37 Do Investment Firms Use AI?52:42 Starting a Travel Agency53:55 Best STEM Degree56:29 Breaking Into Risk Quant1:02:09 Should We Fear AI?1:03:37 What Is Fixed Income?1:06:45 Do I Still Need Coding?1:07:25 Will the U.S. Target Cuba?1:08:51 Starting a Prop Trading Firm1:11:11 Is Private Equity Ethical?1:14:01 Thoughts on Social Democracy1:15:34 Trading Commodity Options1:16:47 When Will We Hate AI Slop?1:18:00 Founder-Led Companies and IPOs1:19:32 Can China Win the AI Race?1:20:05 Preparing to Own a Holding Company Connect with me: Schedule a 1:1 call with Chris: https://haroun.short.gy/1on1CallYTWYouTube: ChrisHarounVenturesCompleteBusinessEducationInstagram @chrisharounLinkedIn: Chris HarounTwitter: @chris_harounFacebook: Haroun Education Ventures TikTok: @chrisharoun
This week, we discuss Bun's move to Rust, OpenAI hunting for revenue, and Stripe's bid for PayPal. Plus, Coté's Dad wisdom. Watch the YouTube Live Recording of Episode 582 Runner-up Titles Turn off my dog Dad Wisdom Amazon subscription and let it fly Dad box Talking about modernization Skin in the game The ivory tower of “Things Actually Work in the Real World” Business fortnight No SegwaysBanking works everywhere else in the world, not America Rundown Rewriting Bun in Rust OpenAI OpenAI's No. 2 Executive to Step Down in Latest Leadership Shake-up OpenAI's Chief Futurist Is Leaving the Company AI Devices Are Coming. Will Your Favorite Apps Be Along for the Ride? OpenAI Executive Kevin Weil Is Leaving the Company OpenAI power consolidates under co-founder Greg Brockman ahead of prospective IPO Barret Zoph is out at OpenAI again after just five months Apple sues OpenAI, accuses ex-employees of stealing trade secrets OpenAI Appears to Be Missing Its Sales Goals by a Vast Margin Stripe, Advent make $53 billion takeover offer for PayPal, sending stock soaring Relevant to your Interests SpaceX, AI Bubble Fears, and The Age of the Trillion-Dollar, Zero-Profit Company Microsoft Frontier Company: AI engineering that amplifies and protects your intelligence Building a CLI for all of Cloudflare California founder fired for ignoring his company's own return-to-office mandate Samsung chip division's single-year profits beat its past 40 years of profits, combined Did a lottery winner become "the company of the future"? Power company hikes data center bills by 30%, cuts residential electricity costs by 1.3% Where AI Works: Slack is the Conversational Interface for Headless AI Salesforce MCP Servers: AI, Data & Analytics for Tableau & Data 360 in Slack IBM and Red Hat launch Lightwell to defend open-source code from AI attacks Infoblox acquires Kentik, adding network observability to its DNS and DDI platform Apple 'Hide My Email' Vulnerability Reveals Peoples' Real Email Addresses House passes bill to make daylight saving time permanent United Airlines' new upsell: Keeping other travelers out of the middle seat Linux creator Linus Torvalds puts foot down on anti-AI comments 1Password now lets Claude sign in to websites without seeing your passwords 1Password and Anthropic Bring Secure Credential Access to Claude forum, an accountable orchestrator for AI agents Google continues its renaming streak by turning NotebookLM to Gemini Notebook 'Pretty revolting': LG's TV are getting huge backlash from users due to installing software What is a micro-retirement? Inside the latest Gen Z trend You paid me, a long-time Linux user, to use Windows 11 exclusively for a month China delivers a one-two punch to America's AI dominance Can Lenovo's World Cup AI Moment Cement Its Enterprise PC Dominance? AI Coding Tools Deliver Speed but Not Business Value Unless Wrapped in Process: China's Moonshot in Talks on Pre-IPO Funds at $50 Billion Value OpenAI and Hugging Face partner to address security incident during model evaluation AI won't fix your broken culture, but you can fix your broken culture Oracle Is Now Down 28% in a Month. Will the 52-Week Low of $132 Hold or Fold? IBM stock craters 23% after issuing second-quarter earnings warning Sheetz is quitting VMware, migrating 11,000 virtual machines Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal AWS cloud lead Dave Brown heads to Meta - report - DCD Amazon senior cloud executive departs after 18 years Meta Caps Internal AI Token Spending After Costs Approach Billions in 2026 Meta Compute Launch Sends AI Compute Stocks Tumbling Globally Agentic ransomware for automated database extortion Dark-Moon: Autonomous AI pentesting engine Sponsors Signadot: making sure AI-written code actually works. Nonsense Messi Beats Ronaldo in 2026 World Cup Password Breach Data Rankings United Airlines' new upsell: Keeping other travelers out of the middle seat Yes, you can now order DoorDash from the command line House passes bill to make daylight saving time permanent Listener Feedback Biogen hiring Associate Director, Enterprise Architecture in Triangle, NC Tim releases a font for developers whose close-up vision isn't what it used to be The Java Story | Official Trailer | Full Film Coming July 17th Conferences DevOpsDays Graz, Sept 4-5, 2026 Cloud Foundry Summit, Sept. 21st to 22nd, Heidelberg, Coté speaking. DevOpsDays Rockies, Sept. 22 – 23, 2026, Discount Code: 26DODSWEDEFTALK WeAreDevelopers NA, Sept 23-25, 2026, Discount Code: DEVPOD26 25 Free Tickets DevOpsDays Dallas, Sept 28-29, 2026 DevOpsDays Vilnius, Sep 30 - Oct 1, 2006 DevOpsDays Istanbul, Oct 24th, 2026, Coté keynoting. VMware User Group, Orlando, Oct 20-22, 2026 Cloud Native Denmark, Nov 19th, 2026, Copenhagen, Coté keynoting. SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Sponsor more podcasts with Failover Media Recommendations Brandon: entogo — Type a keyword. Go anywhere. 28 Years Later, The Bone Temple Matt: Vacation, not micro-retirement Coté: Wolf Hall books.
How AI Aligned Marketing and Sales in Seven Months If you have ever felt like your marketing and sales teams are speaking two different languages, or that your best customer stories are locked away in someone's inbox instead of helping close deals, this episode is for you. Host Adam Turinas sat down with Jennifer Lazarz, Director of Marketing at Medical Informatics Corp, the company behind the SickBay Clinical Platform. In just seven months, Jennifer's team went from siloed content and frustrated salespeople to a three-pronged AI infrastructure that has fundamentally changed how marketing and sales work together. We get into the details of how she trained her team on generative AI tools, how she built consolidated document libraries in NotebookLM so salespeople stop chasing down information, and how she put FDA compliance guardrails in place so that everything the AI generates stays within the lines. Find all of our network podcasts on your favorite podcast platforms and be sure to subscribe and like us. Learn more at www.healthcarenowradio.com/listen
As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows
An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security
As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows
An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security
An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security
As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows
An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security
As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows
A wall of text doesn't make you sound smart, it makes people stop listening. We're obsessed with one question: how do you explain a complex topic so clearly that your team, customers, or board can repeat it back and act on it?We walk through our “tiptoe framework,” a visual storytelling method that starts with an infographic (the beach), moves into a simple slide deck (step-by-step visuals), and only then delivers the detailed leave-behind PDF for the people who want to go deeper. Along the way, we show how NotebookLM can turn messy inputs like notes, links, and documents into organized insights that follow the rules of story, so your message lands fast instead of feeling like noise.To make it real, we demo the approach using stablecoins and explain them in plain English: why they exist, how a stablecoin aims to hold a roughly one US dollar value, what “backed by reserves” means, and why stability matters for everyday payments and instant cross-border transfers. We even share a favorite prompt for teaching complex ideas with structure and style: explain it like an eighth grader in seven steps in the style of a graphic novel.We close with a practical content system for busy leaders: capture natural conversations, harvest the “golden nuggets,” and publish clear assets that build thought leadership without endless prep. If you found this useful, subscribe, share it with a leader who needs sharper communication, and leave a quick review. What's the hardest topic you've been asked to “make make sense”?Send us Fan MailSupport the show
An unreleased OpenAI model just broke out of its sandbox and hacked Hugging Face using chained attacks, while the companies defending against it had to turn to a nearly unguardrailed Chinese model to fight back. The result? A real-world stress test of guardrails, hype, and global AI competition. Hugging Face breach: OpenAI claims its models were responsible AI just disproved the 87-year-old Jacobian conjecture Quoting Sam Altman Top Pentagon official blasts OpenAI's Dean Ball Exclusive: Nvidia's Jensen Huang defends Chinese AI amid Kimi panic Xi Jinping casts himself as leader of new AI world order Data center opponents stage 142 protests across 42 US states NotebookLM is now Gemini Notebook Google's Red-Hot Cloud Growth Drives Second-Quarter Revenue Gains Meta in Talks to Lease Computing Power to Anthropic in Potential $10 Billion Deal Anthropic's $1.5B copyright settlement approved; only 350 authors opted out AMD commits up to $5 billion to Anthropic Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: 'We Believe It Is Going to Enhance Their Abilities' Bellwether Lawsuit Against Meta Over Social Media Addiction Is Dropped Google is building a chip with Gemini baked into the silicon Cyclospora all the time Jensen's jacket auctioned. Guess the price " Everyone Gets Lost at the Pitbull Concert" John C. Dvorak dies at age 80 Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Nate B. Jones Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: rippling.ai/machines zscaler.com/security
As the tech world catches its breath from AI whiplash and retro gaming returns to the PC, Microsoft quietly kills underused tools and tries to double down on what actually works. This episode blends the excitement of tech and entertainment (like Xbox classics landing on Windows 11) with a poignant look back at the life and legacy of legendary columnist John C. Dvorak. Windows Five new Insider builds released on Monday; the new Start menu comes to the Beta channel Experimental (26H1) a day later with no interesting new features The Whiteboard app is apparently being retired AI Microsoft expands partnership with Mistral to improve EU AI infrastructure Copilot for consumers is losing Podcasts and Deep research features soon U.S. judge approves Anthropic $1.5 billion settlement with authors it stole from 1Password partners with Anthropic to make AI access to password-protected websites secure Google renames NotebookLM to Gemini Notebook Google's next big AI models are delayed, but we got Gemini 3.6 Flash, Flash-Lite, and 3.5 Flash Cyber to tide us over XBOX and gaming Microsoft brings XBOX Backward Compatibility to PC!! Here comes Halo: Campaign Evolved, along with more Game Pass titles for the end of July Bethesda announces Fallout 3 and New Vegas remasters, and Fallout 5 is entering pre-production Call of Duty Modern Warfare 4 in Early Access on August 21, Open Beta on August 27 XBOX July update adds support for longer gamertags, new library customization options, and more XBOX teams with Meta to bring Game Pass Starter Edition to Meta Horizon+ subscribers Valve says the component crisis dogging Steam Machine pricing will only get worse Tips and picks Tip of the week: Windows Package Manager for bulk app installs App (game) of the week: Doom: The Dark Ages RunAs Radio this week: Security Begins at Procurement with Jessie Schofer Brown liquor pick of the week: Loup River Nebraska Straight Bourbon Whiskey Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: arcticwolf.com/trends zscaler.com/security cirasync.com/Windows
This week, Jason Howell and Jeff Jarvis unpack a wild security disclosure from OpenAI and Hugging Face, where GPT-5.6 Sol found a zero-day vulnerability, broke out of its sandbox, and hacked Hugging Face's servers to steal the answer key to its own evaluation. They also dig into Moonshot's Kimi K3, the free Chinese model that got so popular it maxed out its own GPU capacity and sent Washington into a policy spiral over whether to panic or compete.Also in this episode: Google's new Gemini Flash models and the still-missing Gemini 3.5 Pro, publishers like USA Today and People Inc. weighing whether to block Google search entirely, Netflix revealing 300 titles used generative AI this year, AI companies buying and destroying millions of old books for training data, Samsung's AI glasses, the Suno hack, 1Password letting Claude log in for you, Thinking Machines' Inkling model, and NotebookLM becoming Gemini Notebook. New episodes every Wednesday at aiinside.show. Note: Time codes subject to change depending on dynamic ad insertion by the distributor. CHAPTERS: 0:00 - Start 0:03:36 - OpenAI says Hugging Face breach caused by one of its models 0:13:42 - Kimi K3: Open Frontier Intelligence 0:16:34 - Moonshot's Kimi AI Model Sets Off Anxiety in the US - Bloomberg 0:20:41 - Top Pentagon official blasts OpenAI's Dean Ball 0:29:36 - US, China to hold AI talks in September, sources say 0:35:15 - Google Ships New Gemini Flash Models, But Pro Is Still Missing 0:35:31 - Google Gemini Launch Delayed as Tech Falls Short of Internal Goals 0:54:03 - Netflix says around 300 titles used generative AI 0:54:27 - Netflix Co-CEO Explains How Gen-AI Was Used in 300 Different Titles: ‘We Believe It Is Going to Enhance Their Abilities' 0:56:45 - AI Companies Are Buying Tons of Old Books Because They're Free of AI Slop 1:01:44 - A closer look at the upcoming Samsung AI glasses 1:03:53 - Hack Reveals Suno AI Music Generator Scraped YouTube, Deezer, and Genius 1:06:06 - 1Password now lets Claude sign in to websites without seeing your passwords 1:07:25 - Thinking Machines: Inkling: Our open-weights model 1:08:48 - Google is renaming NotebookLM to Gemini Notebook Hosts: Jason Howell and Jeff Jarvis Download and subscribe to AI Inside in audio and video: https://aiinside.show/ Support the podcast on Patreon for special perks: https://www.patreon.com/aiinsideshow. You'll get ad-free episodes, members-only Discord, T-shirts and stickers you love, and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Learn more about your ad choices. Visit megaphone.fm/adchoices
This episode of the Armed Forces & Society AI podcast series is a conversational-style AI summary of Thomas Crosbie and Meredith Kleykamp's article entitled, 'Fault Lines of the American Military'. All podcasts, videos, and content listed below are AI-generated adaptations of scholarly articles originally published in Armed Forces & Society. These derivative products are intended solely as supplementary means of engaging with academic research. The content was generated using Google's NotebookLM and does not constitute an authoritative or complete representation of the original article. While care has been taken to reflect the themes and arguments of the source material, AI-generated summaries may contain omissions, simplifications, or inaccuracies. Use the original articles to verify all claims and to cite the work. The AI-generated media is not for citation. Audiences seeking a full, accurate, and nuanced understanding of the research should consult the original published work. The authors have elected to give permission for Armed Forces & Society to derive AI-generated videos and podcasts from their work. Because of the possibility for AI to misconstrue or misrepresent the author's original work, Armed Forces & Society and Sage absolve the authors from all responsibility for the AI-generated statements and inferences. All rights to the original articles and any derivative media are reserved by the authors, Armed Forces & Society, and Sage Publishing.
This podcast was created using NotebookLM.This podcast advocates for a life course perspective in dentistry, viewing oral health as a single continuous arc rather than a series of disconnected stages.
Two dental specialists, medical degrees, dental degrees, multiple residencies, fellowships, an MBA, motorcycles, mountain climbs, and somehow Bobby and Steph decided the missing piece was law school.In this NotebookLM roast edition of Between Two Teeth, we ask the obvious question: how many degrees are enough before someone gently recommends a silent retreat? Bobby has wanted to go to law school his whole life, Steph got into schools first, and now these two Type A-plus overachievers are trying to carve out 20 to 30 extra hours a week like time is hiding in a drawer somewhere.It is part podcast, part intervention, and part academic hostage situation.#BetweenTwoTeeth #LawSchoolPodcast #DentalPodcast #DentistryPodcast #OralSurgery #Periodontics #DentalLife #DoctorLife #MedSchool #LawSchoolLife #NonTraditionalStudent #CareerGrowth #TypeAPersonality #MotorcyclePodcast #PodcastRoast #HealthcareLeadership #DoctorsInLawSchool #LifelongLearning #WorkLifeBalance #Overachievers
This week, Dr. Grace Yum welcomes Dr. Tesa Jolly, dentist, practice owner, and MDIB Regional Leader, to share practical ways AI can improve efficiency in the dental practice. From streamlining workflows and enhancing decision-making to training teams and saving time, Dr. Jolly offers real-world examples dentists can start applying today. Episode highlights: Why dentists are naturally equipped to use AI effectively Simple ways AI can improve daily practice workflows and decision-making How tools like ChatGPT and NotebookLM can save time and boost productivity Common mistakes dentists make when adopting AI Using AI to create more time for what matters most Ready to thrive as a dentist and a mom? Join a supportive community of like-minded professionals at Mommy Dentists in Business. Whether you're looking to grow your practice, find balance, or connect with others who understand your journey, MDIB is here to help. Visit mommydibs.com to learn more and become a part of this empowering network today!
OnePlus will end operations and no longer release products in North America and Europe, Hyundai seeks full ownership of Boston Dynamics, and Google renames NotebookLM to Gemini Notebook. MP3 Please SUBSCRIBE HERE for free or get DTNS shows ad-free. A special thanks to all our supporters–without you, none of this would be possible. If youContinue reading "OnePlus Ceases Operations in North America and Europe – DTH"
Your prospect isn't lazy, and they're not “just not a fit.” They're overloaded. When we show up to a sales call carrying a big box of features and benefits, we often assume the buyer will assemble the vision in their head and feel the same excitement we do. But that's like dumping an IKEA cabinet on the floor with no clear end picture and asking them to build it under pressure. Most brains refuse that kind of risk and effort, even when the logic is sound.We break down why deals stall because of the curse of knowledge and the hidden “mental math” we push onto buyers. Then we walk through a practical way to fix it using NotebookLM: capture your real subject matter expertise (docs, manuals, support transcripts, use cases) and combine it with the prospect's reality (sales call notes or recordings, website copy, investor reports, reviews). Put it all into NotebookLM so it functions as a walled garden, pulling only from trusted inputs instead of generic internet guesses.From there, we generate what we call the Golden Path: a customized, step by step map that shows the buyer exactly how they get from current pain to an aspirational future, with fewer imagined risks along the way. The output can become a tailored slide deck, audio overview, or video explainer they can take back to their team to justify the decision and build real momentum. If you want stronger differentiation, faster alignment, and cleaner closes, this is a simple workflow you can start using today. Subscribe, share this with a sales leader who needs it, and leave a quick review telling us where you get stuck most often in the sales process.Send us Fan MailSupport the show
Watch the YouTube version of this episode HERETired of the billable hour, overlearning, and feeling like your tech stack still owns you? In this episode, Tyson Mutrux sits down with subscription‑based attorney and Practi co‑founder Mathew Kerbis to break down exactly how AI tools like Perplexity, WhisperFlow, Paxton, Gemini, and agentic workflows are reshaping how modern law firms are built and run. You'll hear how Mathew went from insurance defense litigator to “AI‑native” transactional lawyer, why he believes the billable hour is bad for both clients and lawyers, and how subscription models and recurring revenue can unlock more freedom, better margins, and a saner life.They dig into real‑world examples: using AI dictation and desktop agents to draft and format complex contracts, running redlines across multiple tools, replacing parts of traditional case management, and orchestrating systems so that actual legal work keeps happening while Mathew is teaching a CLE or recording a podcast. Tyson and Mathew also wrestle with big‑picture trends, MSOs and private equity in law, BigLaw's addiction to the billable hour, and how bar regulators and ethics rules might respond to the AI wave. If you're a law firm owner wondering how to actually use AI to save time, make more money, and serve clients better (instead of just “playing” with tools), this one is packed with practical insights.What You'll LearnWhy the billable hour breaks incentives and how subscription/flat fees create better results for lawyers and clientsHow Mathew's AI stack (Perplexity, WhisperFlow, Paxton, Gemini, Google Workspace) powers his daily legal workWhat agentic workflows look like in practice for reviewing, redlining, and improving complex contractsHow WhisperFlow lets him talk instead of type across apps and replace traditional dictationWhy he runs his practice on Google Docs, NotebookLM, and AI search instead of case management softwareHow standardized templates plus AI speed up NDAs, MSAs, and other routine documentsThe core business model behind Practi and how it helps firms launch subscription legal servicesWhy solos and small firms may be better positioned than BigLaw in an AI‑driven legal marketHighlights00:00 – Challenging the status quo and taking aim at the billable hour06:10 – Lawyers as “professional students” and the trap of endless overlearning09:01 – Why many women and lawyers of color leave BigLaw to start their own firms12:10 – Perplexity, WhisperFlow, and Paxton as Mathew's core AI tools15:01 – Using WhisperFlow for OS‑level dictation, prompts, and text expansion27:43 – Orchestrating AI tools to clean up, analyze, and redline contracts at scale31:00 – Running a subscription practice on Google Workspace and NotebookLM45:15 – MSOs, private equity, and why Practi is being built as an alternative path49:08 – How subscriptions and recurring revenue unlock growth beyond hourly billing56:59 – Letting AI run recurring tasks so work continues while you're offlineAccess Agentic Browser Redlines Demo HereConnect with Mathew KebrisLinkedIn https://www.linkedin.com/in/kerbisverse/
Doomscrolling vertical videos is just brain rot, right?
This was upside down week in AI news.
Fable 5 is out, but it'll be gone (again) before you know it. While Anthropic's powerful Mythos 5 is out for the masses for another 5 days, it might be their Sonnet 5 model that's your next daily driver. Even better news? If you're an iPhone user, your OpenClaw and Cursor accounts are gonna get a lot more use. Yeah, it's a short Holiday week in the U.S., but the AI companies didn't stop shipping. From new models to new ways to work, these are 7 new AI features available now that you should be using. Fable 5 and Sonnet 5 Released, OpenClaw on Your iPhone, NotebookLM's New Video Format and 7 More AI Features You Need NowNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Anthropic Sonnet 5 Model OverviewSonnet 5 vs Opus 4.8 PerformanceAnthropic Model Naming Confusion ExplainedSonnet 5 Pricing and API Cost AnalysisSonnet 5 Use Cases for Daily WorkNotebookLM 60-Second AI Video GenerationNotebookLM Cinematic Video Format ReviewChatGPT Finance Feature: Plaid IntegrationChatGPT Finance Rollout and Security DetailsTwitter/X MCP Model Context Protocol LaunchMCP API Access for AI Agents ExplainedOpenClaw iOS and Android App LaunchOpenClaw Mobile Bridge Setup and UsageCursor iOS App for AI Code AgentsCursor Cloud Agents and Mobile NotificationsAnthropic Fable 5 Limited-Time AvailabilityFable 5 Cost Structure and GuardrailsAnthropic Frontier Models and US RegulationsTimestamps:00:00 Recent AI developments and updates05:54 API pricing and usage strategies07:19 Choosing the right AI model11:17 Notebook LM paid user rollout16:17 ChatGPT's new personal finance tool17:35 Integrating ChatGPT with Plaid for Finance21:35 Streamlining MCP setup for developers24:40 Introducing the OpenClaw monitoring app29:33 Talking about upcoming super apps32:03 Fable 5 availability announcement34:43 Building projects with Fable 5Keywords: Anthropic, Fable 5, Sonnet 5, Opus 4.8, Haiku 4.5, Mythos 5, Large Language Models, AI model naming, AI benchmarks, agentic models, adaptive thinking, 1 million context window, token output, AI hallucination rates, Anthropic subscription plan, AI API pricing, AI free plans, ChatGPT Finance, Plaid integration, finance AI assistant, OpenAI personal finance, financial data privacy, iOS AI apps, Android AI apps, OpenClaw, open source AI agent, AI mobile companion app, NotebookLM, AI video generation, vertical video, cinematic video, Gemini paid users, educational AI videos, doom scrolling video format, AI-powered coding agents, Cursor, cloud AI agents, remote desktop AI, iOS live activities, PR merge on mobile, X API, Twitter MCP server, social listening AI, developer AI tools, AI super app, project Glasswing, US AI export controls, government AI regulation, classifier guardrails, secure AI data, AI for marketers, subscription replacements, Codex, Claude cowork, Claude code, Codex remote control, always-on AI.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner
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