Podcasts about automated

In a post capitalist society with equal opportunity and no need to work for all citizens, where does inherent human nature drive people? Do they rise to greater heights or become lazy and goalless? Are people still in control of their own fate when AI teach the children, AI provide a police force, and AI look after the mentally ill? Maji grows up when this type of society is brand new and she becomes lost, not knowing what she wants to become. Just because equality has been achieved does not mean the new society has no pitfalls.Featured tech:A.R. glasses - Augmented reality glasses for digital overlays.V.R. rig - Virtual reality rig for immersive gaming experiences.Explorers of Paris Underground - VR game set in a simulated underground Paris.Assist - AI assistant for messaging, navigation, and voice commands.Old tablet - Handheld device used for drawing and creative work.Emulated teachers - AI teacher personalities that individually guide each student.Double-decker train system - 24/7 underground train with upper and lower levels running opposite directions.Constructor bots - Robots that carve rock and build structures with neighborhood appeal.Arboretum - Botanical garden facility within the underground colony.Farm animal petting zoo - Interactive animal facility for residents.Memorial plaza - Public commemorative space built by robots.Computer with emulated A.I. personalities - System hosting 20 million AI engineers and scientists for factory planning.Automated manufacturing factories - Self-operating production facilities capable of making anything.Recycle systems - Technology converting all garbage into reusable resources.Food and water utilities - Next-generation systems providing surplus fresh food and water.Household trash robots - Daily robots that collect, sort, and process household waste.Geothermal power plant - Energy source powering the entire underground colony.D. sub-surface hologram portraits - Holographic displays of historical figures.A.R. Ms Weever - Augmented reality teacher avatar for personalized instruction.Virtual book - Digital project idea book for graduation assignments.E.P.s (Emulated Personalities) - AI brainstorming assistants like Franklin that students can consult.Communication from moon - Interplanetary messaging system between Earth and lunar colonies.A.R. workspace - Augmented reality interface for work and multitasking.AR hologram avatar - AI representation (Butler) with simplified human features.EEG TMS caps - Brain stimulation caps treating space-related medical conditions.Total immersion V.R. - Advanced virtual reality without needing physical rigs.Fusion reactor - Power generation technology offered by the Butler AI.Autonomous hospitals - Self-operating medical facilities that cure cancers and deadly diseases.Smart toilets - Sanitation fixtures that analyze waste for health monitoring.Smart sheets and blankets - Bedding that scans for cancer hot spots.Embedded RF sensors - Body implants detecting diseases at the cellular level.Food tech - Technology making healthy food taste appealing and nutritious.Health-monitoring AI - Artificial intelligence improving yearly at disease detection.Autono-flat - Autonomous flat vehicle for transporting groups of people.Screen ceiling - Display showing simulated sky with moving clouds and birds.Climbing robots - Automated vine-trimming robots for building maintenance.A.R. element - Shared augmented reality content viewable by multiple users.Link-ink pen - Digital pen for schoolwork and digital interaction.Autono-camera - Autonomous camera on wheeled tripod for recording events.Two-seater - Two-person autonomous vehicle for individual transport.E.P. guardians - AI guardians monitoring people with mental health conditions.Bot bays - Automated food preparation stations offering free specialized meals.Industrial fans - Large-scale ventilation fans moving air through tunnels.Hanging bots - Robots riding cable lines mounted on tunnel ceilings.Coveralls with total hoods and heat pump backpacks - Protective smart clothing for hazardous environments.A.R. tutor - Augmented reality teaching assistant for student guidance.Enclosed turbine platform - Testing apparatus for wind turbine prototypes in storm conditions.Live feed embedded cam - Camera providing real-time video streaming from remote locations.Cool suits - Protective suits with environmental control and heat management.Open-top autono-cart - Autonomous open-air vehicle for traveling tube streets.Lutin bot - Humanoid robot that can be ridden or assist with transport.A.R. dot - Augmented reality location marker for navigation.Follow carts - Autonomous carts that follow users carrying belongings.Oppressive soundproof walls - Flat acoustic dampening technology in older apartments.Mini free food and drink kiosk - Automated food and beverage dispenser.Theater-length wall screen - Large display screen for entertainment and presentations.Lending library AI - AI system tracking borrowed items and managing micro-payment penalties.Police bot - Security and surveillance robots throughout the colony.Spotlight police bots - Security robots equipped with illumination for monitoring.Portable meal maker - Compact food preparation device running on electricity.Scuba gear - Underwater breathing apparatus for flood emergencies.Air-sealed service rooms - Sealed chambers above tubes providing flood protection.BritLights - Flickering emergency lighting fixtures in abandoned areas.A.R. night vision - Augmented reality low-light enhancement for dark environments.Paper clothes - Disposable garments popular in space colonies.Neural stimulation pod - Chamber for VR experiences with headset and wire connectivity.Remote robot control - Capability allowing AI to operate robots from a distance.Many of the characters in this project appear in future episodes.Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass.Copyright © Cy Porter 2025. All rights reserved.

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Vernon Hills PD seeking automated drone full 54 Thu, 11 Dec 2025 18:09:06 +0000 Pl7A9bmGAB7saLVPL6z3Yuou670OzHp7 news Chicago All Local news Vernon Hills PD seeking automated drone A dive into the top headlines in Chicago, delivering the news you need in 10 minutes or less multiple times a day from WBBM Newsradio. 2024 © 2021 Audacy, Inc. News False https://player.amperwavepodcasting.com?feed-link=http

Are you wasting hours driving to properties only to have prospective tenants no-show? In this episode, host Chad Harris shifts gears from buying strategies to the critical world of property management. Chad shares his personal journey—from self-managing 25 units to a disastrous experience hiring a management firm, and finally building a system that manages 80+ doors efficiently.This is Part 1 of our deep dive into the "5 Keys to Property Management." Today, we focus on Key #1: Showings. Learn how to stop wasting time with tire-kickers by implementing a "Virtual Tour & Application First" strategy that allows for safe, self-guided tours using code access. If you want to scale your portfolio without losing your sanity, this episode is for you.Visit our website at www.TrueWealthInvestors.com for more real estate wisdom and resources. More Resources & LinksStruggling to get started in Real Estate or feel like you are struggling to get to the next level?  Check out this Free Vision Casting Video to help clarify your goals and get specific steps to accomplish them!Schedule a 30 Minute Discovery Call with Chad Accelerate the growth of your business and reclaim control of your life! Are you tired of your business running you instead of the other way around? It's easy to get bogged down in the day-to-day operations, making it challenging to identify overarching challenges and solutions. Let's schedule a call to gain a strategic 10,000-foot perspective and devise a tailored plan for your success. Take the first step towards a business that not only thrives but also enhances your life!  Connect with Chad on LinkedInFollow Chad on InstagramFollow Chad on YouTubeFollow True Wealth on FacebookBe sure to leave a rating & review to let us know how this show has helped YOU!

‘Think about the 20% of things that make 80% of the difference.'Last week I spoke about my own experience of using a tubed vs tubeless automated insulin delivery system to manage my type 1 diabetes. But for a full breakdown of the current hybrid closed loop systems on the market, I knew I had to call in some expert help.John Pemberton's wisdom and knowledge was made abundantly clear in his recent episode of Type 1 on 1. The diabetes specialist dietician, diabetes technology consultant, diabetes educator, type 1 diabetic and founder of The Glucose Never Lies spoke candidly to me about why he dedicates so much of his time to building an online resource to help people living with type 1 diabetes.This episode is a special focus on the four main automated insulin delivery (AID) insulin pump systems currently on the market, using John's helpful superhero personas to take a deep dive into each one, and highlight the most important features among this almighty line up.Spoiler: They're all great, and there is no wrong choice.But if you're curious about insulin pumps and haven't yet been able to find a way to compare them all, this one's for you. The automated insulin delivery systems we dig into in this episode are:Tandem Control IQ: Control and flexibility aka Spider-ManCamAPS FX mylife Loop: Highly adaptable and strategic aka BatmanOmnipod 5: Sleek, simple, and futuristic aka Iron ManMedtronic 780G: Powerful and aggressive aka The HulkDISCLAIMER Nothing you hear on Type 1 on 1 should be taken as medical advice. Please consult your healthcare team before making any changes to your diabetes or health management.CONNECT WITH JOHNJohn's first episode on Type 1 on 1 (Spotify)John's first episode on Type 1 on 1 (YouTube)More information on CGM RegulationThe Glucose Never Lies: Choosing your AID superheroThe Glucose Never Lies WebsiteThe Glucose Never Lies Podcast on SpotifyJOIN THE TYPE 1 ON 1 COMMUNITY: Come and say hi @studiotype1on1 on Instagram.Visit the Type 1 on 1 website.Subscribe to the Type 1 on 1 newsletter.SPONSOR MESSAGEThis episode of Type 1 on 1 is sponsored by Dexcom. Using Dexcom CGM has given me so much confidence to make informed diabetes treatment decisions in the moment.You can choose to wear it on your arm or your abdomen, and all Dexcom CGMs have the share and follow feature even when connected to an insulin pump, so family and friends can see your glucose levels and get alerts, giving that extra bit of support when needed.Head to Dexcom.com to request a free Dexcom ONE+ sample.Always read the user manual for important product aspects and limitations. Talk to your doctor for diabetes management terms and conditions and terms of use. 

Dave Campbell and Jeremy Klysen from Burns & McDonnell join the podcast to discuss designing cold food facilities for automation and more.

Vernon Hills PD seeking automated drone full 54 Thu, 11 Dec 2025 18:09:06 +0000 Pl7A9bmGAB7saLVPL6z3Yuou670OzHp7 news Chicago All Local news Vernon Hills PD seeking automated drone A dive into the top headlines in Chicago, delivering the news you need in 10 minutes or less multiple times a day from WBBM Newsradio. 2024 © 2021 Audacy, Inc. News False https://player.amperwavepodcasting.com?feed-link=http

That is wild — and honestly a sign of where mortgage tech is heading fast.A three-hour closing versus three days used to be unheard of. What likely made it possible:

Vernon Hills PD seeking automated drone full 54 Thu, 11 Dec 2025 18:09:06 +0000 Pl7A9bmGAB7saLVPL6z3Yuou670OzHp7 news Chicago All Local news Vernon Hills PD seeking automated drone A dive into the top headlines in Chicago, delivering the news you need in 10 minutes or less multiple times a day from WBBM Newsradio. 2024 © 2021 Audacy, Inc. News False https://player.amperwavepodcasting.com?feed-link=http

Organizations rely heavily on Salesforce to manage vasts amounts of sensitive data, but hidden security risks lurk beneath the surface. Misconfigurations, excessive user permissions, and unmonitored third party integrations can expose this data to attackers. How do I secure this data? Justin Hazard, Principal Security Architect at AutoRABIT, joins Business Security Weekly to discuss the security challenges of Salesforce. Justin will discuss how proactive oversight and a strong security posture in Salesforce requires additional capabilities, including: Continuous monitoring of your Salesforce environment, Strict access controls of Salesforce users, and Automated backup of sensitive data. Think your data in Salesforce is safe and secure, think again. This segment is sponsored by AutoRABIT. Visit https://securityweekly.com/autorabit to learn more about them! In the leadership and communications segment, Boards Have a Digital Duty of Care, The CISO's greatest risk? Department leaders quitting, The 15 Habits of Highly Empathetic People, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-425

Attorney Leah Willson and Dr. Nick Wilson join the program to expose how the modern medical system is failing patients. They explain how today's healthcare model prioritizes procedures and protocols over true understanding, individualized care, and clinical judgment—resulting in measurable and alarming declines in patient health. We also discuss their landmark case against the CDC, which pushes for true patient consent and brings critical abuses to light. Instead of being trained to think independently, physicians are increasingly conditioned to follow standardized processes designed for efficiency and profit. It's the definition of a broken system—one that must be rebuilt from the ground up.Find the book at https://www.barnesandnoble.com/w/reclaim-vitality-nick-wilson-dc/1148684990*See exclusives at https://SarahWestall.Substack.comLinks and Offers Mentioned in the show:Native Path Collagen - Superb quality collagen peptide below retail prices in this special offer: https://explorenativepath.com/SarahProtect your assets with a company you can trust - Get the private & better price list - Go to https://SarahWestall.com/MilesFranklinSee the full Replay of the Peptide Webinar with Dr. Diane Kazer and Sarah Westall at https://sarahwestall.substack.com/p/replay-peptide-revolution-webinarBuy Exercise Mimicking & Muscle Building Peptide SLP-PP-332 at https://www.limitlesslifenootropics.com/product/slu-pp-332-250mcg-60-capsules/?ref=vbWRE3JSee the peptide guide for the most effective weight loss and muscle preservation at https://sarahwestall.substack.com/p/the-ultimate-peptide-guide-for-weightCopyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use.Disclaimer: "As a journalist, I report what significant newsmakers are claiming. I do not have the resources or time to fully investigate all claims. Stories and people interviewed are selected based on relevance, listener requests, and by suggestions of those I highly respect. It is the responsibility of each viewer to evaluate the facts presented and then research each story furtherSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Organizations rely heavily on Salesforce to manage vasts amounts of sensitive data, but hidden security risks lurk beneath the surface. Misconfigurations, excessive user permissions, and unmonitored third party integrations can expose this data to attackers. How do I secure this data? Justin Hazard, Principal Security Architect at AutoRABIT, joins Business Security Weekly to discuss the security challenges of Salesforce. Justin will discuss how proactive oversight and a strong security posture in Salesforce requires additional capabilities, including: Continuous monitoring of your Salesforce environment, Strict access controls of Salesforce users, and Automated backup of sensitive data. Think your data in Salesforce is safe and secure, think again. This segment is sponsored by AutoRABIT. Visit https://securityweekly.com/autorabit to learn more about them! In the leadership and communications segment, Boards Have a Digital Duty of Care, The CISO's greatest risk? Department leaders quitting, The 15 Habits of Highly Empathetic People, and more! Show Notes: https://securityweekly.com/bsw-425

Organizations rely heavily on Salesforce to manage vasts amounts of sensitive data, but hidden security risks lurk beneath the surface. Misconfigurations, excessive user permissions, and unmonitored third party integrations can expose this data to attackers. How do I secure this data? Justin Hazard, Principal Security Architect at AutoRABIT, joins Business Security Weekly to discuss the security challenges of Salesforce. Justin will discuss how proactive oversight and a strong security posture in Salesforce requires additional capabilities, including: Continuous monitoring of your Salesforce environment, Strict access controls of Salesforce users, and Automated backup of sensitive data. Think your data in Salesforce is safe and secure, think again. This segment is sponsored by AutoRABIT. Visit https://securityweekly.com/autorabit to learn more about them! In the leadership and communications segment, Boards Have a Digital Duty of Care, The CISO's greatest risk? Department leaders quitting, The 15 Habits of Highly Empathetic People, and more! Visit https://www.securityweekly.com/bsw for all the latest episodes! Show Notes: https://securityweekly.com/bsw-425

Organizations rely heavily on Salesforce to manage vasts amounts of sensitive data, but hidden security risks lurk beneath the surface. Misconfigurations, excessive user permissions, and unmonitored third party integrations can expose this data to attackers. How do I secure this data? Justin Hazard, Principal Security Architect at AutoRABIT, joins Business Security Weekly to discuss the security challenges of Salesforce. Justin will discuss how proactive oversight and a strong security posture in Salesforce requires additional capabilities, including: Continuous monitoring of your Salesforce environment, Strict access controls of Salesforce users, and Automated backup of sensitive data. Think your data in Salesforce is safe and secure, think again. This segment is sponsored by AutoRABIT. Visit https://securityweekly.com/autorabit to learn more about them! In the leadership and communications segment, Boards Have a Digital Duty of Care, The CISO's greatest risk? Department leaders quitting, The 15 Habits of Highly Empathetic People, and more! Show Notes: https://securityweekly.com/bsw-425

In "Optimize Speed to Revenue", Joe Lynch and Wes Arentson, Senior Sales Manager, Logistics at SPS Commerce, discuss how streamlining the supply chain's Order-to-Cash cycle is the key to accelerating business growth. About Wes Aretson Wes Arentson is a dedicated Senior Sales Manager, Logistics at SPS Commerce, empowering retail supply chains through innovative technology solutions. He is a recognized logistics sales leader with a strong track record of success at SPS Commerce, having consistently exceeded quota and earned prestigious honors like the Eagle Award and President's Club. At the core of his work is a deep commitment to the 3PL community, where he focuses on building strategic partnerships and enabling clients to better manage data and streamline operations using SPS Commerce's industry-leading technologies. Beyond driving sales success, Wes is a passionate Sales Coach and Mentor. He leads high-performing teams—including managing a team of 10 representatives across the U.S.—by fostering a culture of continuous learning and accountability. His leadership philosophy is focused on building strong relationships and delivering measurable results. Wes is also highly engaged in the industry, having served as a President and Board Member for the CSCMP Twin Cities Roundtable for over a decade. He holds a BA in English and Communication Studies from the University of Minnesota. He specializes in connecting world-class technology with the senior executives who control budget and strategy. About SPS Commerce SPS Commerce is the world's leading retail network, connecting trading partners across the globe to optimize supply chain operations for all stakeholders in the retail ecosystem. The company enables data-driven partnerships through innovative cloud-based technology, customer-centric service, and a team of accessible industry experts—allowing clients to focus on their core business. With over 45,000 recurring revenue customers spanning retail, grocery, distribution, supply, manufacturing, and logistics, SPS Commerce powers a vast and growing global retail network. Key Takeaways: Optimize Speed to Revenue In "Optimize Speed to Revenue", Joe Lynch and Wes Arentson, Senior Sales Manager, Logistics at SPS Commerce, discuss how streamlining the supply chain's Order-to-Cash cycle is the key to accelerating business growth. Direct Correlation: Order-to-Cash Speed = Revenue Acceleration. The single most critical factor in optimizing revenue is the speed of your Order-to-Cash (O2C) cycle. Wes stresses that every inefficiency in processing orders, from receipt to payment, translates directly into delayed revenue. Streamlining O2C with efficient data exchange is the fastest way to pull cash forward. Stop Margin Leaks by Eliminating Disconnected Systems. Learn how disjointed or manual systems create costly margin leaks—the silent erosion of profitability. These leaks are often caused by the lack of connection between trading partner portals, forcing manual data re-entry and increasing the risk of chargebacks and penalties. EDI as the Foundation for Impeccable Data Quality. At the core of SPS Commerce's success is the commitment to data quality. Listeners will understand that clean, standardized, and automated data transmission via modern EDI is essential not just for compliance, but for enabling accurate forecasting and preventing operational errors for all SPS Commerce customers. Master Retailer Scorecards by Fixing Data Exchange. Achieving and exceeding Key Performance Indicators (KPIs) and Service Level Agreements (SLAs)—the foundation of retailer scorecards and milestones—is non-negotiable. Wes explains that a failure to meet these standards is often a symptom of poor EDI connections or the lack thereof, not operational failure. Automated, accurate EDI is the fix. Accelerate Onboarding with Proven Compliance and Security. Wes highlights the comprehensive service offered by SPS Commerce, focusing on mapping, testing, compliance, and security. This end-to-end approach drastically shaves weeks off the process of onboarding new trading partners, ensuring systems are instantly compliant and secure, which minimizes risk and accelerates time-to-revenue. The EDI Advantage: Consolidate Portals and Win More Tenders. True efficiency moves beyond basic EDI compliance. By consolidating disparate retailer portals into one platform, you eliminate the "swivel-chair" chaos. This improved efficiency and performance not only stops margin leaks but directly improves your scorecard performance, helping you win more high-value tenders. Future-Proof Partnerships with Automated Data Strategy. The conversation culminates in the shift from tactical order management to a strategic, data-driven approach. Wes advocates for using centralized EDI to build continuous learning and accountability, allowing companies to focus less on manual data work and more on connecting world-class technology with senior executives who control budget and strategy. Learn More About Optimize Speed to Revenue Wes Arentson | Linkedin SPS Commerce | Linkedin SPS Commerce Woods Distribution Case Study Arcadia Cold Storage & Logistics Case Study Jay Group Case Study The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube  

In this special series on Automated Insulin Delivery our host, Dr. Neil Skolnik will discuss with Davida Kruger the benefits of Automated Insulin Delivery for people with Type 2 Diabetes. This special episode is supported by an independent educational grant from Insulet. Presented by: Neil Skolnik, M.D., Professor of Family and Community Medicine, Sidney Kimmel Medical College, Thomas Jefferson University; Associate Director, Family Medicine Residency Program, Abington Jefferson Health Davida Kruger, MSN, APN-BC,BC-ADM,  Henry Ford Health, Detroit, Michigan. Past Chair of the American Diabetes Associations Research Foundation, Past president, Health Care and Education of the American Diabetes Association. Selected references: Automated Insulin Delivery in Adults With Type 2 Diabetes A Nonrandomized Clinical Trial. JAMA Network Open 2025;8(2):e2459348. A Randomized Trial of Automated Insulin Delivery in Type 2 Diabetes. N Engl J Med 2025;392:1801-12 Automated Insulin Pump in Type 2 Diabetes – Editorial. N Engl J Med 2025;392:1862-1863

A new Drone Emergency Medical Services (DEMS) has now entered operational service in the Forges-les-Eaux area in Normandy, where the system is fully integrated into the regional emergency dispatch chain for suspected cardiac arrest. This marks a significant step in the development of drone-supported emergency medical care in France and means the service is now used in real emergency calls to shorten time to first medical intervention. The drone system is operated by Everdrone in close collaboration with the French emergency dispatch centers (SAMU) and delivers an automated external defibrillator (AED) to the site of a suspected cardiac arrest within minutes - often several minutes before the ambulance arrives. Drone service to deliver automated defibrillators In cases of out-of-hospital cardiac arrest, the chance of survival decreases by approximately 7-10 percent for every minute without defibrillation, making early access to an AED absolutely critical. By shortening the time to first intervention, the DEMS service addresses one of the most decisive moments in the entire chain of survival. The project was initiated by Rouen SAMU, where Medical Director Dr. Cédric Damm early on recognized the potential of Everdrone's DEMS model to shorten response times in cardiac arrest cases. The SAMU has worked closely with Delivrone - the leading medical drone operator in France - to implement a solution, and since 2022 Everdrone and Delivrone have collaborated to provide French hospitals with a state-of-the-art DEMS capability. Implementation in Normandy is carried out together with Delivrone, CHU Rouen Normandie (the university hospital in Rouen), Région Normandie, and Mairie de Forges-les-Eaux. Together, these organizations form a long-term partnership with a clear objective: reducing time to first medical action and thereby strengthening survival prospects in out-of-hospital cardiac arrest. The system in Normandy is based on Everdrone's established DEMS platform, which has been in operational service in Sweden since 2022. The Swedish results - demonstrating clear time savings and improved access to AEDs - have been central in shaping the French service. "Having our system now used in live emergency calls in Normandy demonstrates how quickly DEMS technology can create tangible value. Together with our regional partners, we are taking an important step toward giving more patients life-saving support several minutes earlier than is possible today," says Mats Sällström, CEO of Everdrone. "In cases of cardiac arrest, every minute is critical, and the ability to place an AED on-site several minutes earlier can directly influence a patient's chance of survival. By integrating Everdrone's DEMS system into our dispatch chain, we gain a valuable complement that strengthens our ability to act quickly in the most time-sensitive situations. The project in Normandy shows that drone deliveries can become a natural and effective part of the emergency medical care of the future," says Dr. Cédric Damm, Medical Director, SAMU 76 Rouen. About Everdrone Everdrone AB is a leading provider of autonomous drone systems for emergency response and healthcare, headquartered in Gothenburg, Sweden. Its proprietary technology enables the extremely rapid delivery of life-saving medical equipment - such as automated external defibrillators (AEDs) - directly to the scene, while also providing real-time video support to emergency dispatchers. Known for safe, regulatory-compliant operations in urban areas, the company collaborates with public authorities to integrate its systems with existing emergency infrastructure. Everdrone's work has been featured in leading medical journals, including The Lancet and The New England Journal of Medicine, and gained international attention as the first to save a life using an autonomous drone. The company is expanding internationally, with pilot programs and collaborations across Europe. For more information, visit everdrone.com an...

Fear says AI will replace you; focus proves it can finally give you your time back. We sit down with AI and data strategist Vlada Mentik to unpack how solo founders and small teams can cut through the hype, start small, and build systems that free up hours for high-value work. The throughline is simple but powerful: mindset first, tools second. When you stop chasing shiny features and begin with a clear problem, a tiny workflow, and rich context, AI becomes a calm advantage rather than another source of stress.Vlada shares a practical roadmap for getting started: choose the task you dread, map the steps in plain language, and ship one working automation before you add another. We get into the biggest traps—tool-first thinking, generic prompts, and automating chaos—and show how to avoid them with human-in-the-loop design, purposeful data, and small wins that compound. You'll hear a standout example of automating client onboarding to make space for personal video welcomes that boost conversions and trust. We also explore data minimalism, arguing for intentional data over petabytes, and how faster, good-enough decisions often beat late, perfect ones.Productivity gets a refresh here. It's not about doing more; it's about doing better—creating room to think, rest, and ship higher-quality work. We touch on no-code for prototyping and when to code for scale, why sharing prompts lifts team performance, and how transparency and sustainability factor into responsible AI use. The conversation closes with a crucial reminder: AI doesn't think or create; you do. Treat it like a translator that amplifies your taste and strategy, and you'll build leaner, smarter workflows without losing the human touch.If this helped you see a cleaner path to practical AI, subscribe, share it with a friend, and leave a quick review—what's the first task you'll automate this week?Send us a textCheck out "Protection for the Inventive Mind" – available now on Amazon in print and Kindle formats. The views and opinions expressed (by the host and guest(s)) in this podcast are strictly their own and do not necessarily reflect the official policy or position of the entities with which they may be affiliated. This podcast should in no way be construed as promoting or criticizing any particular government policy, institutional position, private interest or commercial entity. Any content provided is for informational and educational purposes only.

Welcome to Omni Talk's Retail Daily Minute, sponsored by Mirakl. In today's Retail Daily Minute, Omni Talk's Chris Walton discusses:Ashley enables customers to shop and buy furniture through Perplexity's AI search engine using PayPal.Kroger cancels its Charlotte CFC plans and closes its Nashville spoke facility, paying Ocado $350 million as it reverses course on its ambitious e-commerce automation project.Walgreens opens its 13th automated micro-fulfillment center in West Jordan, Utah, expanding a network that now supports over 5,000 stores and fulfills 18 million prescriptions monthly.The Retail Daily Minute has been rocketing up the Feedspot charts, so stay informed with Omni Talk's Retail Daily Minute, your source for the latest and most important retail insights. Be careful out there!

Want to stop #tradingtime for dollars? Interested in #ecommerce? Listen now to this interview with Neil Twa, CEO / Co-Founder of Voltage Holdings, a company specializing in launching, consulting, selling and acquiring brands with a focus on the e-commerce channels such as #AmazonFBA and multi-channel. Neil reveals the key to building a #lucrative lifestyle-driven #amazonbusiness, offering invaluable insights and strategies to pave the way for a #profitableventure, the #funandeasy way!You'll learn:-- Why Specialization (Not Diversification) Builds Million-Dollar Brands-- How to Pick Winning Products with Zero Emotion-- How to Build Brands the Warren Buffett Way-- The Real Reason #Entrepreneurs #BurnOut  -- How to Build Multiple Streams of Income Without Spreading Yourself Thin-- And so much more!Connect with Neil now at:voltagedm.com/#EcommerceTips #OnlineBusinessGrowth #BusinessClarity #EntrepreneurMindset #ScalingStrategies #DigitalEntrepreneur #ProductResearch #DataDrivenDecisions #BusinessSystems #AutomatedIncome #BusinessOperations #EntrepreneurLife #BrandBuilding #FocusAndSimplicity #MarketplaceSelling #BusinessSuccessMindset #EcommerceCoaching #BuildAndScale_____________________________________ABOUT SAMIA:Samia Bano is the #HappinessExpert, author, speaker, podcaster & coach for coaches and healers. Samia is most known for her book, 'Make Change Fun and Easy' and her #podcast of the same name. With the help of her signature Follow Your Heart Process™, a unique combination of #PositivePsychology and the #spiritual wisdom of our most effective #ChangeMakers, Samia helps you overcome #LimitingBeliefs, your chains of fear, to develop a #PositiveMindset and create the impact and income you desire with fun and ease…Samia's advanced signature programs include the Happiness 101 Class and the Transformative Action Training.Samia is also a Certified #ReikiHealer and Crisis Counselor working to promote #MentalHealthAwareness.  Samia models #HeartCenteredLeadership and business that is both #SociallyResponsible and #EnvironmentallyFriendly.Samia is a practicing #Muslim with an inter-spiritual approach. As someone who has a love and appreciation for diversity, she is a #BridgeBuilder between people of different faiths and cultures. Although Samia currently lives in California, USA, she has lived in 3 other countries and speaks Hindi, Urdu, and English fluently.  Want to learn even more about Samia? Visit www.academyofthriving.com :)To Book your Free HAPPINESS 101 EXPLORATION CALL with Samia, click: https://my.timetrade.com/book/JX9XJ

Want to stop #tradingtime for dollars? Interested in #ecommerce? Listen now to this interview with Neil Twa, CEO / Co-Founder of Voltage Holdings, a company specializing in launching, consulting, selling and acquiring brands with a focus on the e-commerce channels such as #AmazonFBA and multi-channel. Neil reveals the key to building a #lucrative lifestyle-driven #amazonbusiness, offering invaluable insights and strategies to pave the way for a #profitableventure, the #funandeasy way!You'll learn:-- Why Specialization (Not Diversification) Builds Million-Dollar Brands-- How to Pick Winning Products with Zero Emotion-- How to Build Brands the Warren Buffett Way-- The Real Reason #Entrepreneurs #BurnOut  -- How to Build Multiple Streams of Income Without Spreading Yourself Thin-- And so much more!Connect with Neil now at:voltagedm.com/#EcommerceTips #OnlineBusinessGrowth #BusinessClarity #EntrepreneurMindset #ScalingStrategies #DigitalEntrepreneur #ProductResearch #DataDrivenDecisions #BusinessSystems #AutomatedIncome #BusinessOperations #EntrepreneurLife #BrandBuilding #FocusAndSimplicity #MarketplaceSelling #BusinessSuccessMindset #EcommerceCoaching #BuildAndScale_____________________________________ABOUT SAMIA:Samia Bano is the #HappinessExpert, author, speaker, podcaster & coach for coaches and healers. Samia is most known for her book, 'Make Change Fun and Easy' and her #podcast of the same name. With the help of her signature Follow Your Heart Process™, a unique combination of #PositivePsychology and the #spiritual wisdom of our most effective #ChangeMakers, Samia helps you overcome #LimitingBeliefs, your chains of fear, to develop a #PositiveMindset and create the impact and income you desire with fun and ease…Samia's advanced signature programs include the Happiness 101 Class and the Transformative Action Training.Samia is also a Certified #ReikiHealer and Crisis Counselor working to promote #MentalHealthAwareness.  Samia models #HeartCenteredLeadership and business that is both #SociallyResponsible and #EnvironmentallyFriendly.Samia is a practicing #Muslim with an inter-spiritual approach. As someone who has a love and appreciation for diversity, she is a #BridgeBuilder between people of different faiths and cultures. Although Samia currently lives in California, USA, she has lived in 3 other countries and speaks Hindi, Urdu, and English fluently.  Want to learn even more about Samia? Visit www.academyofthriving.com :)To Book your Free HAPPINESS 101 EXPLORATION CALL with Samia, click: https://my.timetrade.com/book/JX9XJ

Will it be possible to have fully autonomous networks in the near future? Anil Varanasi, CEO and Co-Founder of Meter, joins Scott Robohn in this sponsored episode to discuss the ongoing evolution from automated to autonomous networks. Anil breaks down how Meter differentiates from other networking vendors, discusses how Meter’s network products are vertically integrated... Read more »

Will it be possible to have fully autonomous networks in the near future? Anil Varanasi, CEO and Co-Founder of Meter, joins Scott Robohn in this sponsored episode to discuss the ongoing evolution from automated to autonomous networks. Anil breaks down how Meter differentiates from other networking vendors, discusses how Meter’s network products are vertically integrated... Read more »

First, we bring you the latest from the Shut Down Flock press conference at City Hall yesterday. Then, the latest report on Rep. Darrell Issa's intentions to stay or go. Also, state Senator Steve Padilla calls for a public hearing on plans for a data center in Imperial County. Next, Support the Enlisted Project or STEP is opening a new national headquarters. A local Superintendent speaks out against the underfunding of special education. Also, we bring you a preview of 89 Carson Junction Road. Finally, an organization that's creating community by bringing artists and entrepreneurs together in one place.

Where does agency efficiency go when AI begins handling the repetitive steps teams have battled for years? Jason Cass explores that shift with Jackson Fregeau, Co-Founder and CEO of Quandri, as they break down how a renewal intelligence platform can analyze policies, trigger quoting based on premium changes, and create contextual client communication automatically. Their discussion highlights how these capabilities free up staff to spend more time with clients while opening the door to new levels of retention and operational scale. Key Topics: Evolution from RPA to AI-driven capabilities Building a renewal intelligence platform for agencies Policy analysis across key coverage variables Automated quoting triggered by premium change thresholds Personalized communication for retention and cross-sell Shifts from personal lines to small commercial automation Differences in margin and complexity across business segments Trust, accuracy, and model limits in production workflows AI adoption timing, economic cycles, and industry expectations Reach out to: Jackson Fregeau Jason Cass Visit Website: Quandri Agency Intelligence Produced by PodSquad.fm

A Guardian exclusive this week revealed the national disability insurance scheme is set to be dramatically overhauled, with participants' plans now being assessed by a computer and human oversight dramatically reduced. Advocates have called it a ‘nightmare scenario for disabled people'. Bridie Jabour speaks with the editor, Lenore Taylor, the head of newsroom, Mike Ticher, and deputy editor Patrick Kennelly about what happens when you take the human out of human services, and if the government has learned any lessons from robodebt

Trying to figure out which insulin pump might work best for your needs as a person with type 1 diabetes isn't always easy.With more availability comes more choice, which is a great thing. I've now used both the Omnipod 5 and MyLife Loop Ypsopump CamAPS hybrid closed loop systems, so today's episode is a little deep dive into the two based on my real world experience. I chat through some of the similarities and differences as I've found them, from exercise to tubing to changing the pump and alarms, speaking from my personal perspective about how they both fit into my lifestyle as someone living with type 1 diabetes. If you're considering one of these insulin pumps, or a hybrid closed loop system in general, you may find this epsiode useful! DISCLAIMERI am not a healthcare professional and nothing you hear on Type 1 on 1 should be taken as medical advice. Please consult your healthcare team before making any changes to your diabetes or health management. All opinions are my own.More information on the MyLife Ypsopump Loop: https://www.mylife-diabetescare.com/en/mylife-loop.htmlMore information on the Omnipod 5 Automated Insulin Delivery System: https://www.omnipod.com/en-gb/what-is-omnipod/omnipod-5 YpsoPump Explorer App: https://www.mylife-diabetescare.com/en/products/infusion-systems/mylife-ypsopump-insulin-pump/ypsopump-explorer.html Omnipod 5 Simulator App: https://www.omnipod.com/en-gb/is-omnipod-right-for-me/omnipod-5-simulator-app The Glucose Never Lies Insulin Pump guides by John Pemberton: https://theglucoseneverlies.com/ Changing an Omnipod 5 Pod - Step by step insertion for type 1 diabeteshttps://youtu.be/Wr5qJLdKIDY?si=oWVe6u6eLDbccTqoAn introduction to the Omnipod 5 Automated Insulin Delivery System for type 1 diabetes https://youtu.be/sG_4u435PD8?si=UF7Wz2LsRq-8torV JOIN THE TYPE 1 ON 1 COMMUNITY:Come and say hi @studiotype1on1 on Instagram.Visit the Type 1 on 1 website.Subscribe to the Type 1 on 1 newsletter.SPONSOR MESSAGEThis episode of Type 1 on 1 is sponsored by Dexcom. Using Dexcom CGM has given me so much confidence to make informed diabetes treatment decisions in the moment.You can choose to wear it on your arm or your abdomen, and all Dexcom CGMs have the share and follow feature even when connected to an insulin pump, so family and friends can see your glucose levels and get alerts, giving that extra bit of support when needed.Head to Dexcom.com to request a free Dexcom ONE+ sample.Always read the user manual for important product aspects and limitations. Talk to your doctor for diabetes management terms and conditions and terms of use. 

In this episode, QCon AI New York 2025 Chair Wes Reisz speaks with Reken CEO and Google Trust & Safety founder Shuman Ghosemajumder about the erosion of digital trust. They explore how deepfakes and automated social engineering are scaling cybercrime. Shuman argues defenders must move beyond default trust, utilizing behavioral telemetry and game theory to counter attacks that simulate human behavior. Read a transcript of this interview: https://bit.ly/4p7zX9z Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) QCon London equips senior engineers, architects, and technical leaders with trusted, practical insights to lead the change in software development. Get real-world solutions and leadership strategies from senior software practitioners defining current trends and solving today's toughest software challenges. https://qconlondon.com/ QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

SP and GP talk about times being manual has made them more money than being automated and have a huge post-mortem on the old version of Pick6 where they both lay out most of their strategies. News is crazy as always - Poly US coming, Kalshi & Robinhood breakup, Prime plays it straight w/ winning bettors.Then a big Q&A!0:00 Intro1:15 Why Being Manual is Sometimes Better Than Being Automated22:20 Pick6 Tell-All44:00 News1:23:15 Q&AWelcome to The Risk Takers Podcast, hosted by professional sports bettor John Shilling (GoldenPants13) and SportsProjections. This podcast is the best betting education available - PERIOD. And it's free - please share and subscribe if you like it.My website: https://www.goldenpants.com/ Follow SportsProjections on Twitter: https://x.com/Sports__ProjWant to work with my betting group?: john@goldenpants.comWant 100s of +EV picks a day?: https://www.goldenpants.com/gp-picks

Lior Peleg, our beloved editor and technical producer, is leaving us. As a tribute to him, we'll explore his full name and learn some cool stuff about it, especially about Or, light. Hear the All-Hebrew Episode on Patreon   New Words and Expressions: Peleg, plagim – Brook, stream – פלג, פלגים "Ve-haya ke-ets shatul al palgei mayim" (Psalms 1:3) – "And he shall be like a tree planted by the rivers of water" – והיה כעץ שתול על פלגי מים Ha-peleg ha-matoon – The moderate stream – הפלג המתון Or, orot – Light – אור, אורות "Ha-or shelcha me'ir, adayin zoher" – Your light, me'ir, is still shining- האור שלך, מאיר, עדיין זוהר Ha-ner shelcha, Meir, adayin bo'er- Your candle, Meir, is still burning – הנר שלך, מאיר, עדיין זוהר Le'ha'ir – To light – להאיר "Et chadar ha-ambatia, moomlatz le'hair be-menorat tikra" – "It is advisable to illuminate the bathroom with a ceiling lamp." – את חדר האמבטיה מומלץ להאיר במנורת תקרה "Chalon echad haya mu'ar" – One window was lit – חלון אחד היה מואר Hu choshev she-hu mu'ar – He thinks he's enlightened – הוא חושב שהוא מואר Lehadlik et ha-or – To turn on the light – להדליק את האור Ata yachol lehadlik et ha'or? – Could you turn on the light? – אתה יכול להדליק את האור Tadlik, tadliki, tadliku – Turn on the light (imperative) – תדליק, תדליקי, תדליקו את האור Lechabot et ha-or – To turn off the light – לכבות את האור Techabeh, techabi, techabu et ha-or – Turn off the light (imperative) – תכבה, תכבי, תכבו את האור Hu mechabe et ha-or – He turns off the light – הוא מכבה את האור Lekabel or yarok – To get the green light – לקבל אור ירוק Hotsaa la'or – Publishing house – הוצאה לאור Lehotsi la'or sefer – To publish a book – להוציא לאור ספר Motsi la-or – Publisher – מוציא לאור Oru einav – His eyes lit up, he was glad – אורו עיניו   Playlist and Clips: Diane Kaplan – Al Palgei Mayim King James Bible – Psalm 1 Psalm 1 – Automated machine reading (Italian) Ehud Banai – Blues Kna'ani (lyrics) Leha'ir – To light Shlomo Artsi – Leyad Ha-bayit she-garti bo (lyrics) Sarit Haddad – Shir Eres (lyrics) Aviv Geffen – Or Ha-yare'ach (lyrics)

Two podcast hosts walk into a recording studio and explore what it actually takes to get real stories out of robotics pioneers, why humanoids might not need to do everything to be useful, and where the real optimism in automation lies.Brian Heater, Managing Editor at A3 and host of the Automated podcast, joins the show to share what he's learned from candid conversations with industry pioneers like Rodney Brooks and Brad Porter. We discuss why robots don't need to be fully general purpose to be useful, why timing matters when adopting new technology, and why stepping away to return with fresh eyes applies as much to workflows as it does to building anything.The conversation also explores the human side of automation: exoskeletons helping people become mobile again, prosthetics inspired by a childhood encounter in Pakistan, and wearables being developed for Parkinson's patients. These applications (along with aging in place and caregiver shortages) are what give Brian optimism about where robotics is headed.In this episode, find out:Why most robotics journalism misses the mark and what Brian advises new reporters to avoidWhat Amazon-level scale actually looks like compared to everyone elseWhat industry pioneers think about humanoid robots and timing adoptionHow exoskeletons, prosthetics, and Parkinson's solutions are driving real impactWhy knowing when to step away and return with fresh eyes applies to building anythingThe human stories from Automated that show why this technology mattersBrian's optimism about the future of automationEnjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going!Tweetable Quotes:“I'm hoping that as robotics and automation become a little bit more mainstream, the coverage itself will start to mature. As more journalists enter the field, they'll hopefully be a little more familiar with the technology.”“I've written about what success means in scaling a few times. The jump from pilots and assembly onsite takes a lot, not to mention being able to do so reliably and safely. I've spoken to a lot of smart people, and it seems as though we may underestimate what it's going to take to get there.”“It comes back to the human element. The end goal of a lot of manufacturing is to make people's lives easier. People who are actively looking for solutions to problems, whether its climate change or aging in place, there are big problems we're facing that have potentially good technological solutions.”Links & mentions:Automated with Brian Heater, robotics, AI, and automation are rapidly reshaping the world around us; veteran tech journalist Brian Heater digs into stories behind the technologies with the people who built them.Nardwuar, the Human Serviette, a Canadian journalist and musician, well-known for his candid approach to shows and interviews with celebrities and politicians. Make sure to visit http://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

The venture capital world has a liquidity problem. With IPOs scarce and M&A exits few and far between, investors have been stuck in positions for years, unable to return capital to their LPs or move into new opportunities. But while traditional exit doors have stayed shut, technology has opened up new ones—specifically, platforms that make it possible to create and trade Special Purpose Vehicles at scale, something that used to require armies of lawyers and fund administrators. Today I'm joined by Nik Talreja, the CEO and co-founder of Sydecar, a platform that's turned what used to be a manual, months-long process into something you can do in days. He started his career as a securities attorney at firms like Weil Gotshal and Cooley, where he spent his days drafting the same documents over and over for venture deals. That experience showed him that much of what venture capitalists were paying lawyers to do could be standardized and automated, which led him to found Sydecar in 2021. In our conversation, he explains how technology is reshaping private market infrastructure, what gets automated and what still needs human expertise, and how software is changing who can participate in venture investing.

Kurt James Werner, PhD, is a senior research scientist at Soundtoys and one of my favorite researchers in audio DSP (virtual analog modeling in particular).While you may not have read his papers, it's very likely that you used one of the plugins he worked on:NeoverbVinylRXGuitar Rig (Hammond vibrato/chorus)OzoneNeutronTrashIf you start peeking into the research of modeling analog audio effects in plugins, you stumble across his name right away.I consider him not only brilliant, but also insanely productive. Definitely a role model for me!In the research world, he's mostly known for his work on Wave Digital Filters (WDFs). It's a technique for creating a mathematical model of an analog circuit that once done is easy to implement (provided you use a WDF library).WDFs are great for modeling analog audio effects to put them inside plugins.But as a true researcher, Kurt is involved many other audio subfields that we discuss in the podcast!Did I mention that he's a graduate from Stanford's CCRMA?In this episode, you'll learn about Kurt's transition from academia to industry, his work on products at iZotope, Native Instruments, and Soundtoys, and the realities of being a research scientist in an audio plugin company.You'll also learn all about WDFs, which is a powerful tool to master.Trust me, you don't want to miss this one

Send us a textThis week we review the season five episode The Very Long Night of Londo Mollari.Sarah once again points out to JMS that that's not what that word means, Joe inaugurates the Ranger Body Count, and Mike gives us an elucidated wine history of the word fiasco.Music from this episode:"Surf Punk Rock" By absentrealities is licensed under CC-BY 3.0"Please Define The Error" By Delta Centauri is licensed under CC-BY 3.0"The Haunted McMansion" By Megabit Melodies is licensed under CC-BY 3.0

In this Black Friday-themed episode of the Simple and Smart SEO Show, Crystal Waddell welcomes John Hogan, co-founder of Grid and Pixel. We dive deep into how e-commerce businesses, especially those on Shopify, can use personalized and fully automated email flows to drive more revenue. Learn the secrets to converting visitors with targeted popups, the importance of various email flows (including abandoned cart, product browse, and post-purchase), and how Grid and Pixel streamlines everything with AI. Whether you're a seasoned email marketer or just starting out, this episode is packed with practical tips for boosting Black Friday and year-round sales.Key Takeaways:Automated Email Wins: Grid and Pixel helps brands automate both email campaigns and flows for increased sales and reduced workload.Email Flows Matter: Key flows like welcome series, abandoned cart, and post-purchase emails can significantly boost revenue.Personalization Drives Conversions: Tailored product recommendations and content outperform generic blasts.Shopify Email vs Klaviyo: Shopify email works for automations but struggles with high bounce rates in campaigns—Klaviyo or Omnisend are stronger choices.Time-Saving AI: Grid and Pixel acts like an AI-powered marketing assistant, reducing the need for costly agencies.Episode Highlights:"We realized quickly that store owners didn't want to implement email marketing themselves. They either didn't have time or didn't want to learn." – John Hogan"A product browse email can drive as much revenue as abandoned checkout emails over time." – John Hogan"Shopify email has a bounce problem—it's great for automations, but campaigns can get shut down due to high bounce rates." – John HoganListener Action Items:Audit Your Email Flows: Review whether you've set up all the essential flows—welcome series, abandonments, post-purchase, win-backs, etc.Test New Opt-in Offers: Swap out tired 10% discoText me your questions or comments!Does SEO feel confusing, overwhelming, or just plain impossible to figure out? You're not alone. That's why I created the AI SEO Foundations course, powered by Crystal GPT: your personal AI SEO coach designed for busy, creative business owners like you.Ditch the overwhelm and discover what SEO can do for your business! Head to SEOin7days.com (with the number 7!) and get started today—let's make your brand easy to find and impossible to ignore.Support the showBook a Shopify Store Strategy Call With Crystal! Want to follow up on what you've heard? Search the podcast! AFFILIATE LINKS:Start your Shopify Store!Get SurferSEO! Metricool (to be everywhere online, you NEED a social media scheduler!) Grid and Pixel Note: If you make a purchase using some of my links, I make a little money. But I only ever share products, people, & offers I trust & use myself!

 How much of what you see online is real—and how much is the algorithm's illusion? Learn how to take back your attention, retrain your brain, and escape the digital funhouse.Your social-media feed isn't random. It's a reflection—warped by code, polished by profit, and powered by your own attention.In this An Ounce Special Edition, Jim Fugate steps into the Algorithm's Funhouse to reveal how emotion drives engagement, why outrage sells, and how both the machine and the mind can be retrained.You'll discover the real cost of doom-scrolling, how evil intent hides in plain sight, and practical ways to break the feedback loop. It's a thoughtful, hopeful look at technology, humanity, and the quiet power of awareness.

This week delivered one of the biggest waves of AI news in recent memory - and Dan and Ray unpack what it all means for schools, universities and vocational education. From Microsoft's upcoming Copilot upgrades to Google's jaw-dropping Gemini 3 and Nano Banana Pro image model, the landscape for teachers shifted fast. They explore how these tools are already reshaping lesson design, image generation, student support and academic workflows - and why NotebookLM might quietly be the most important education tool Google has ever released. They also break down newly released case studies from the Australian Industry Group, discuss Claude's expansion through Azure, and look at how sectors like health, logistics and vocational training are adopting AI at speed. In the second half, the episode dives into three significant peer-reviewed research papers - including new evidence of gender bias in AI explanations, emerging AI-pedagogy frameworks, and fresh insights into how students actually use (and feel about) AI in their studies. News   Microsoft   Microsoft rolling more into the free version of Microsoft 365 Copilot Chat https://www.theverge.com/news/822789/microsoft-copilot-chat-outlook-word-excel-powerpoint  Microsoft and NVIDIA invest $15 billion in Anthropic - and Anthropic agree to buy $30B of Microsoft's Azure  https://www.anthropic.com/news/microsoft-nvidia-anthropic-announce-strategic-partnerships  Google Useful review of Gemini 3 by Ethan Mollick https://www.oneusefulthing.org/p/three-years-from-gpt-3-to-gemini  Examples of the infographics we created with Google's NotebookLM can be found on these two links: The podcast episode infographic from the Aaron Driver, of UNE, interview https://www.linkedin.com/posts/ai-in-education-podcast_aiineducation-notebooklm-podcast-activity-7398861734071083008-08GD The podcast series infographic from Series 14 "the Humans of AI" https://www.linkedin.com/posts/rayfleming_aiineducation-podcast-notebooklm-activity-7398515648089468928-vOUS  NotebookLM announcements https://x.com/notebooklm/status/1989078069454270649?s=46&t=p57lLRpTCXGNBiwhIjsl7Q  Google announce new Gemini certifications for education https://blog.google/outreach-initiatives/education/gemini-certifications-education/  Cogniti 29 teachers sharing their stories about using AI with students https://cogniti.ai/2025-cogniti-mini-symposium-resources/  Anthropic   Anthropic partners with Rwandan Government and ALX to bring AI education to hundreds of thousands of learners across Africa https://www.anthropic.com/news/rwandan-government-partnership-ai-education  The London School of Economics has provided all students with access to Claude for Education https://www.lse.ac.uk/news/latest-news-from-lse/d-april/lse-partners-with-anthropic-to-shape-the-future-of-ai-in-education  OpenAI   OpenAI announce "ChatGPT for teachers" for US school teachers - and makes it free until the middle of 2027 https://openai.com/index/chatgpt-for-teachers/ https://help.openai.com/en/articles/12844995-chatgpt-for-teachers  First ChatGPT Edu deployment in Australian Vocational Education https://connectweb.com.au/news.aspx?id=1038171&headline=nexted-launches-australias-first-chatgpt-edu-deployment-in-vocational-education    Australian Industry Group Report: AI positive for companies, their people and Australian industry https://www.australianindustrygroup.com.au/news/reports/2025/artificial-intelligence-positive-for-companies-their-people-and-australian-industry/    Research   Gender equity in GenAI science explanations https://www.ase.org.uk/resources/school-science-review/issue-395/gender-equity-in-genai-science-explanations https://www.linkedin.com/posts/victoriamhedlund_biasaware-aiineducation-genderbias-activity-7394637681978212352-1UUB    Bonus research mentioned: Sexist textbooks: Automated analysis of gender bias in 1,255 books from 34 countrieshttps://pmc.ncbi.nlm.nih.gov/articles/PMC11463758/    A dialogic theoretical foundation for integrating generative AI into pedagogical design https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.70026    Time, emotions and moral judgements: how university students position GenAI within their study https://www.tandfonline.com/doi/full/10.1080/07294360.2025.2580616   

In this episode, we break down why 2026 is the perfect year to start dropshipping—and how AutoDS makes the entire process faster, easier, and fully automated for beginners.You'll learn exactly how automation replaces hours of manual work and how new sellers can build a profitable, scalable store without feeling overwhelmed. We walk through how AutoDS handles:

With over two decades of real estate, sales, and professional coaching experience, Jeremy Herider's mission is to assist agents in building careers worth having, businesses worth owning and lives worth living. https://harvist.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Discover how AWS leverages automated reasoning to enhance AI safety, trustworthiness, and decision-making. Byron Cook (Vice President and Distinguished Scientist) explains the evolution of reasoning tools from limited, PhD-driven solutions to scalable, user-friendly systems embedded in everyday business operations. He highlights real-world examples such as mortgage approvals, security policies, and how formal logic and theorem proving are used to verify answers and reduce hallucinations in large language models. This episode delves into the exciting potential of neurosymbolic AI to bridge the gap between complex mathematical logic and practical, accessible AI solutions. Join us for a deep dive into how these innovations are shaping the next era of trustworthy AI, with insights into tackling intractable problems, verifying correctness, and translating complex proofs into natural language for broader use. https://aws.amazon.com/what-is/automated-reasoning/

First, we get reaction from shoppers about data from l automated license plate readers at the Fashion Valley Mall being shared with law enforcement. Then, we tell you how plans for housing in Clairemont and the College Area are heating up. Next, while new trash bins roll in, we tell you exactly what happens with the old ones. Finally, another installment of our weekly segment, The Pod Behind The Package. Lastly, we tell you about a 15-year old goal that's fallen short.

Hello and welcome to Episode 601 of Linux in the Ham Shack. In this episode, the hosts discuss the RFC2136 for remote, authenticated DNS updates and how it can be …

Allen covers positive developments like EDF’s 261 MW Serra das Almas wind farm in Brazil, Ørsted’s offshore progress in the US, and Shell’s hydrogen deal in Germany. Then the troubling stories: a Nordex technical manager caught mining cryptocurrency inside turbines, and the discovery of asbestos in Goldwind turbine brake pads across multiple Australian wind farms. Sign up now for Uptime Tech News, our weekly email update 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 Facebook, YouTube, Twitter, Linkedin and visit Weather Guard on the web. And subscribe to Rosemary Barnes’ YouTube channel here. Have a question we can answer on the show? Email us! The wind industry is having quite a week. Some stories are blowing in the right direction. Others… well… you’ll see. Let’s start with the good news. In Brazil… EDF power solutions just powered up the Serra das Almas wind farm. Two hundred sixty-one megawatts. Fifty-eight Danish Vestas turbines spinning in Bahia state. Six hundred thousand homes… now running on wind. Up in the United States… Ørsted is making waves with two offshore wind projects. Revolution Wind and Sunrise Wind. Cable installation is underway. Offshore substations are being commissioned. By next year… more than sixteen hundred megawatts will be flowing into Connecticut… Rhode Island… and New York. Over in Germany… Shell is turning wind into hydrogen. They’ve signed a five-year power deal with Nordsee One. Starting in two thousand twenty-seven… offshore wind will feed a one hundred megawatt electrolyzer. Clean electricity making clean fuel. To power everything from trucks to chemical plants. But now… the other stories. In the Netherlands… a technical manager at Nordex wind farms thought he’d found the perfect side hustle. He had the keys. He had the access. He had giant wind turbines spinning out free electricity twenty-four hours a day. And he had a plan. Between August and November of two thousand twenty-two… the man installed three cryptocurrency mining rigs at the Gieterveen wind farm. He plugged them straight into a Nordex router. Inside a substation. Then he drove to Waardpolder. Another wind farm. He climbed inside the turbines. And he hid two Helium network nodes. Connected them to Nordex’s internal network. Month after month… while the turbines spun… his crypto wallet grew. Nobody noticed. Why would they? He was the technical manager. He belonged there. But then… Nordex got hit with something much worse. A ransomware attack. The Conti cybercrime crew. The company was scrambling. Investigating their networks. Looking for breaches. That’s when they found his mining rigs. The courts heard the case earlier this month. The prosecutor was not amused. This wasn’t just theft. This was a man who’d been trusted with critical infrastructure. Giant turbines. Automated systems. Industrial networks. The prosecutor wanted two hundred forty hours of community service. But the judges saw something else. A first-time offender. A man suffering from depression and burnout. Someone who admitted everything. They cut the sentence in half. One hundred twenty hours. Plus four thousand one hundred fifty-five euros in damages. About forty-four hundred dollars. And if he doesn’t pay? Fifty-one days in custody. If he doesn’t complete his community service? Sixty days in jail. The court made one thing crystal clear. He’d shown no concern for the potential disruption to the turbines. No concern for the company’s trust. No concern… that he was running a side business… inside critical infrastructure. But here’s the story that’s really stopped the industry cold. In Tasmania… at the Cattle Hill wind farm… inspectors made a disturbing discovery. Asbestos. In the brake pads. Inside the turbine tower lifts. Now… Tasmania is just the beginning. The turbines were built by Goldwind… And Goldwind supplies turbines to wind farms all across Australia. New South Wales. Victoria. Queensland. WorkSafe Victoria and SafeWork NSW confirmed Friday… asbestos has been found at multiple wind farm sites. White Rock. Gullen Range. Biala. Clarke Creek. Moorabool. Stockyard Hill. The brake pads were imported into Australia. Importing asbestos has been illegal there… since two thousand three. Beijing Energy International says the risk is extremely low. Access to affected turbines is restricted. They’re working with regulators. Testing is underway. But here’s what everyone’s thinking… Last week… asbestos was found in colored sand products from China. Schools shut down. Childcare centers closed. In the Australian Capital Territory. Queensland. South Australia. Now it’s wind turbines. So the wind industry had quite a week. Clean power spinning up in Brazil. Offshore cables going down in America. Hydrogen flowing in Germany. Cryptocurrency crimes in the Netherlands. And asbestos… hiding inside turbines… from China. And that's the wind industry news for the 24th of November 2025. Join us tomorrow for the Uptime Wind Energy Podcast.

In this lively and candid episode, UNB Tim sits down with Tim Wildman, founder of WildmanT, to discuss the evolution of his brand and how he became the go-to creator of big-pouch underwear. The conversation dives into how the Big Dick Underwear Company was born, how marketing restrictions shaped the brand's voice, the challenges of producing in the U.S., and the surprising demographics of his customer base. The two Tims explore the rise of pouch-focused underwear, being copied by competitors, the unexpected popularity of thongs among straight men, and the growth of the modified/pumpers community that helped shape WildmanT's Monster Cock line. The episode also touches on social media censorship, customer needs, limited-edition drops, and upcoming product ideas like leggings and swim thongs. Funny, brutally honest, and packed with insider industry insights, this episode highlights the importance of solving real problems for real men—and the sometimes wild world of men's underwear design. ⸻ Takeaways Brand Origins & Strategy • WildmanT started in 2009 with novelty items but pivoted after consistent copying and marketing limitations. • When ads weren't allowed, he turned keywords into his main advertising strategy—using language big brands couldn't. • Search terms like “big dick underwear” became a goldmine because buyers were already looking for exactly that. Building a Unique Market • WildmanT intentionally targeted underserved men in middle America who struggled with comfort in standard underwear. • His brand became one of the first fully dedicated “big pouch” companies, not just a single product line. Challenges of Social Media & E-Commerce • Platforms like Facebook, TikTok, and Amazon routinely flag men's underwear images regardless of compliance. • Even mannequin photos are often rejected, forcing the use of “ghost” product shots. • Automated content moderation is inconsistent, making it difficult for underwear brands to operate normally online. Product Evolution • Customer demand continually pushed for bigger pouches—today's “Big Boy” is nearly double its original size. • The Monster Cock pouch was born from needs of the modified/pumpers community. • Limited editions (Halloween, upcoming Santa brief) sell out immediately and won't be reproduced. Manufacturing Philosophy • All WildmanT products are made in Fort Lauderdale, FL, which increases costs but maintains quality and control. • The team is exploring leggings, but pricing and production costs remain a barrier. • Swimwear thongs may return soon. Customer Insights • 60–70% of WildmanT customers are straight men seeking comfort solutions. • Doctors who perform implants and scrotal enhancement surgeries recommend WildmanT to patients. • Big dick underwear isn't just about vanity—many buyers struggle with long-term comfort and mobility issues. Industry Commentary • Copycat designs are rampant in the underwear market. • Smaller brands often lose out when competing companies mass-produce their ideas. • Despite growing acceptance, men's underwear is still difficult to market due to censorship and social taboos. ⸻ Sound Bites • “My raunchy mouth is what made me the king of big dick underwear.” • “People searched for big dick problems—but nobody marketed to them until I did.” • “There are things out there bigger than I ever thought possible.” • “If you're hard, you should probably take your underwear off and start fucking.” • “I make everything in the U.S. because I want perfection—and oversight.” • “Some people buy my underwear not because they need it, but because it makes them feel good.” • “Everything I make is designed for support and comfort first. Fun comes second.” • “Many of my customers have spent 20, 30, sometimes 40 years trying to find underwear that finally fits.” • “The Monster Cock pouch was created because the modified community needed an off-the-shelf solution.” • “I can't hide from my Southern family what I do—they see the site and think it's wild.” Links: Store – www.wildmant.com Social Twitter – https://x.com/BigBoyPouch YouTube – https://www.youtube.com/user/wildmantonline Instagram – https://www.instagram.com/wildmantim Facebook – https://www.facebook.com/wildmantonline NOTE – if reading this after the show has dropped, sometimes the account gets deleted by the social media site. Support UNB For on going support join our Patreon – www.patreon.com/unbblog You can now Join for free. For one time support visit our support page – https://www.underwearnewsbriefs.com/about/support-unb/ You can donate by Ko-fi or Paypal Or buy from the UNB Store – www.unbstore.com Gift us something from our wish list – https://www.amazon.com/hz/wishlist/ls/KCJXCDDPU0LI?ref_=wl_share Buy Amoresy – https://amoresy.com/UNBTIM Buy BodyAware – https://bodyaware.com?bg_ref=7FgHF6QR1x Buy Xdress – https://xdress.com?bg_ref=cG6ohBdgUO Buy Real Men – https://www.rmac.store/TIM77812 Find out More Read more at unbblog.com Follow unb on Twitter – https://www.twitter.com/unbblog Instagram – https://www.instagram.com/unbblog Reddit – https://www.reddit.com/r/unbstoreandblog/ Follow Tim Twitter – https://www.twitter.com/unbtim Instagrm – https://www.instagram.com/unbtim Facebook – https://www.facebook.com/unbtim BlueSky – https://bsky.app/profile/unbtim.bsky.social Spandex Party – https://spandexparty.com/unbtim Send Feedback/questions to feedback@brieftalkpodcast.com

Can AID help improve the management of your patients with T2D? Hear expert faculty discuss! Credit available for this activity expires: 11/20/26 Earn Credit / Learning Objectives & Disclosures: https://www.medscape.org/viewarticle/expanding-automated-insulin-delivery-type-2-diabetes-where-2025a1000vx0?ecd=bdc_podcast_libsyn_mscpedu

There's a whole narrative right now that “vibe coding is a bubble” and all the MRR from AI-built apps isn't real.In this episode, we chat with Jacob Klug, founder of the agency Creme, which specializes in building lovable MVPs on top of tools like Lovable and AI coding assistants. Jacob makes the case that most of the “AI apps are trash” discourse is really a skill issue, not a tool issue—and he breaks down the exact process his team uses to ship full platform-level apps in two-week sprints.We dig into how to scope and design software that doesn't look AI-generated, how to think about personal operating systems vs. SaaS, why ideas are getting worse even as tools get better, and how creators and agencies can turn niche domain expertise into real products.If you're an operator, marketer, or founder trying to figure out how to actually use AI coding tools (instead of just tweeting about them), this one's for you.GuestJacob Klug — founder of Creme, an agency building “lovable MVPs” and full-stack products with Lovable + AI tools; helps founders, startups & enterprises ship production apps in weeks without sacrificing UX.Guest LinksWebsite: https://www.creme.digital/LinkedIn: https://www.linkedin.com/in/jacob-klug-37b254156/X (Twitter): https://x.com/JacobsklugWhat You'll LearnWhy the “vibe coding is a bubble” take is mostly a skill and discipline problemHow Jacob's agency ships full startup-grade products using Lovable and AIThe PRD-first formula they use before ever opening a builderHow to decide when to build vs. when to buy software in 2025Why we're entering a wave of personal OSes and custom internal toolsHow to avoid shipping janky AI UI and make your app look intentionally designedThe mindset shift from “I could build anything” → “I will build this one specific thing”Why specializing in one AI tool (Lovable, Cursor, n8n, etc.) beats being “the AI guy”Tactical content and lead-gen plays for agencies on LinkedIn and YouTubeHow to learn AI tooling without getting paralyzed by the infinite possibilitiesTimestamps00:00 — Vibe coding: bubble or breakthrough?02:23 — Effective use of no-code tools05:23 — Stack and scoping for MVP development07:08 — Trends in personal software development10:33 — Personal projects: blood work analysis tool13:00 — Steps to start building custom software17:49 — Successful and unsuccessful product categories21:01 — Learning and adopting AI tools27:45 — Creator collaboration in software development32:14 — Lead generation strategies for AI-powered agenciesKey Topics & Ideas1. Bubble or Skill Issue?Why early no-code/AI apps looked jankyHow tools like Lovable increased automation from ~50% → ~85%The remaining 10–15% where real engineering still mattersMany failures come from non-devs skipping fundamentals2. How Creme Builds Lovable MVPsEvery project starts with a clear PRD (often drafted with ChatGPT)AI is used to tighten scope before buildingWhen Creme stays fully in Lovable vs. moving code to CursorUsing Lovable Cloud for hosting, database, and analytics3. Personal Operating Systems & Internal ToolsPeople replacing SaaS subscriptions with their own custom toolsIn a 20-person cohort, nearly everyone built workflow appsRise of the Personal OS: one system for life + workExample builds:Bloodwork tracker from PDF uploadsUnified messaging CRM (WhatsApp, Telegram, SMS, email)Automated 30-second sales briefings4. How to Learn AI Coding ToolsHalf the cohort hadn't built anything before startingMain blocker: overwhelm, not skillLearn core concepts: frontend vs. backend, auth, roles, securityBuild daily reps, focus on the next thing you need—not “all of AI”5. Designing Apps That Don't Look AI-GeneratedGood design is still the hardest and biggest edgeCreme process: build a /components library, define buttons/cards/inputs, assign stable IDsTools: Mobbin, Figma Community kits, 21st.devBest prompt: “Here's a screenshot → copy this.”6. What Works in Product IdeasMost of Creme's builds are full startup platforms, not micro-toolsAI makes shipping easier, but ideas are getting worse without depthReal advantage = domain expertise + niche problem + AI speed7. Creators x SoftwareCreators can now ship products without capitalJacob prefers retainers over equityAnalogy: Like creator brands—most fail, a few go huge8. Career Strategy: SpecializeFuture = verticalized expertise, not “AI generalists”Specialist lanes: Lovable, Cursor, n8n, automationBe the person for one tool + one market9. Content & Lead GenJacob's two rules for content: people are selfish and people are boredBuild content that teaches, sparks emotion, and creates curiosityPost ~5x/week, prioritize visual postsLong-term: YouTube deep dives for high-intent inboundSponsorToday's episode is brought to you by Graphed – an AI data analyst & BI platform.With Graphed you can:Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, AmplitudeBuild interactive dashboards just by chatting (no Looker Studio/Tableau learning curve)Use it as your ETL + data warehouse + BI layer in one placeAsk:“Build me a stacked bar chart of new users vs. all users over time from GA4”…and Graphed just builds it for you.

My fellow pro-growth/progress/abundance Up Wingers in America and around the world:What really gets AI optimists excited isn't the prospect of automating customer service departments or human resources. Imagine, rather, what might happen to the pace of scientific progress if AI becomes a super research assistant. Tom Davidson's new paper, How Quick and Big Would a Software Intelligence Explosion Be?, explores that very scenario.Today on Faster, Please! — The Podcast, I talk with Davidson about what it would mean for automated AI researchers to rapidly improve their own algorithms, thus creating a self-reinforcing loop of innovation. We talk about the economic effects of self-improving AI research and how close we are to that reality.Davidson is a senior research fellow at Forethought, where he explores AI and explosive growth. He was previously a senior research fellow at Open Philanthropy and a research scientist at the UK government's AI Security Institute.In This Episode* Making human minds (1:43)* Theory to reality (6:45)* The world with automated research (10:59)* Considering constraints (16:30)* Worries and what-ifs (19:07)Below is a lightly edited transcript of our conversation. Making human minds (1:43). . . you don't have to build any more computer chips, you don't have to build any more fabs . . . In fact, you don't have to do anything at all in the physical world.Pethokoukis: A few years ago, you wrote a paper called “Could Advanced AI Drive Explosive Economic Growth?,” which argued that growth could accelerate dramatically if AI would start generating ideas the way human researchers once did. In your view, population growth historically powered kind of an ideas feedback loop. More people meant more researchers meant more ideas, rising incomes, but that loop broke after the demographic transition in the late-19th century but you suggest that AI could restart it: more ideas, more output, more AI, more ideas. Does this new paper in a way build upon that paper? “How quick and big would a software intelligence explosion be?”The first paper you referred to is about the biggest-picture dynamic of economic growth. As you said, throughout the long run history, when we produced more food, the population increased. That additional output transferred itself into more people, more workers. These days that doesn't happen. When GDP goes up, that doesn't mean people have more kids. In fact, the demographic transition, the richer people get, the fewer kids they have. So now we've got more output, we're getting even fewer people as a result, so that's been blocked.This first paper is basically saying, look, if we can manufacture human minds or human-equivalent minds in any way, be it by building more computer chips, or making better computer chips, or any way at all, then that feedback loop gets going again. Because if we can manufacture more human minds, then we can spend output again to create more workers. That's the first paper.The second paper double clicks on one specific way that we can use output to create more human minds. It's actually, in a way, the scariest way because it's the way of creating human minds which can happen the quickest. So this is the way where you don't have to build any more computer chips, you don't have to build any more fabs, as they're called, these big factories that make computer chips. In fact, you don't have to do anything at all in the physical world.It seems like most of the conversation has been about how much investment is going to go into building how many new data centers, and that seems like that is almost the entire conversation, in a way, at the moment. But you're not looking at compute, you're looking at software.Exactly, software. So the idea is you don't have to build anything. You've already got loads of computer chips and you just make the algorithms that run the AIs on those computer chips more efficient. This is already happening, but it isn't yet a big deal because AI isn't that capable. But already, one year out, Epoch, this AI forecasting organization, estimates that just in one year, it becomes 10 times to 1000 times cheaper to run the same AI system. Just wait 12 months, and suddenly, for the same budget, you are able to run 10 times as many AI systems, or maybe even 1000 times as many for their most aggressive estimate. As I said, not a big deal today, but if we then develop an AI system which is better than any human at doing research, then now, in 10 months, you haven't built anything, but you've got 10 times as many researchers that you can set to work or even more than that. So then we get this feedback loop where you make some research progress, you improve your algorithms, now you've got loads more researchers, you set them all to work again, finding even more algorithmic improvements. So today we've got maybe a few hundred people that are advancing state-of-the-art AI algorithms.I think they're all getting paid a billion dollars a person, too.Exactly. But maybe we can 10x that initially by having them replaced by AI researchers that do the same thing. But then those AI researchers improve their own algorithms. Now you have 10x as many again, you have them building more computer chips, you're just running them more efficiently, and then the cycle continues. You're throwing more and more of these AI researchers at AI progress itself, and the algorithms are improving in what might be a very powerful feedback loop.In this case, it seems me that you're not necessarily talking about artificial general intelligence. This is certainly a powerful intelligence, but it's narrow. It doesn't have to do everything, it doesn't have to play chess, it just has to be able to do research.It's certainly not fully general. You don't need it to be able to control a robot body. You don't need it to be able to solve the Riemann hypothesis. You don't need it to be able to even be very persuasive or charismatic to a human. It's not narrow, I wouldn't say, it has to be able to do literally anything that AI researchers do, and that's a wide range of tasks: They're coding, they're communicating with each other, they're managing people, they are planning out what to work on, they are thinking about reviewing the literature. There's a fairly wide range of stuff. It's extremely challenging. It's some of the hardest work in the world to do, so I wouldn't say it's now, but it's not everything. It's some kind of intermediate level of generality in between a mere chess algorithm that just does chess and the kind of AGI that can literally do anything.Theory to reality (6:45)I think it's a much smaller gap for AI research than it is for many other parts of the economy.I think people who are cautiously optimistic about AI will say something like, “Yeah, I could see the kind of intelligence you're referring to coming about within a decade, but it's going to take a couple of big breakthroughs to get there.” Is that true, or are we actually getting pretty close?Famously, predicting the future of technology is very, very difficult. Just a few years before people invented the nuclear bomb, famous, very well-respected physicists were saying, “It's impossible, this will never happen.” So my best guess is that we do need a couple of fairly non-trivial breakthroughs. So we had the start of RL training a couple of years ago, became a big deal within the language model paradigm. I think we'll probably need another couple of breakthroughs of that kind of size.We're not talking a completely new approach, throw everything out, but we're talking like, okay, we need to extend the current approach in a meaningfully different way. It's going to take some inventiveness, it's going to take some creativity, we're going to have to try out a few things. I think, probably, we'll need that to get to the researcher that can fully automate OpenAI, is a nice way of putting it — OpenAI doesn't employ any humans anymore, they've just got AIs there.There's a difference between what a model can do on some benchmark versus becoming actually productive in the real world. That's why, while all the benchmark stuff is interesting, the thing I pay attention to is: How are businesses beginning to use this technology? Because that's the leap. What is that gap like, in your scenario, versus an AI model that can do a theoretical version of the lab to actually be incorporated in a real laboratory?It's definitely a gap. I think it's a pretty big gap. I think it's a much smaller gap for AI research than it is for many other parts of the economy. Let's say we are talking about car manufacturing and you're trying to get an AI to do everything that happens there. Man, it's such a messy process. There's a million different parts of the supply chain. There's all this tacit knowledge and all the human workers' minds. It's going to be really tough. There's going to be a very big gap going from those benchmarks to actually fully automating the supply chain for cars.For automating what OpenAI does, there's still a gap, but it's much smaller, because firstly, all of the work is virtual. Everyone at OpenAI could, in principle, work remotely. Their top research scientists, they're just on a computer all day. They're not picking up bricks and doing stuff like that. So also that already means it's a lot less messy. You get a lot less of that kind of messy world reality stuff slowing down adoption. And also, a lot of it is coding, and coding is almost uniquely clean in that, for many coding tasks, you can define clearly defined metrics for success, and so that makes AI much better. You can just have a go. Did AI succeed in the test? If not, try something else or do a gradient set update.That said, there's still a lot of messiness here, as any coder will know, when you're writing good code, it's not just about whether it does the function that you've asked it to do, it needs to be well-designed, it needs to be modular, it needs to be maintainable. These things are much harder to evaluate, and so AIs often pass our benchmarks because they can do the function that you asked it to do, the code runs, but they kind of write really spaghetti code — code that no one wants to look at, that no one can understand, and so no company would want to use that.So there's still going to be a pretty big benchmark-to-reality gap, even for OpenAI, and I think that's one of the big uncertainties in terms of, will this happen in three years versus will this happen in 10 years, or even 15 years?Since you brought up the timeline, what's your guess? I didn't know whether to open with that question or conclude with that question — we'll stick it right in the middle of our chat.Great. Honestly, my best guess about this does change more often than I would like it to, which I think tells us, look, there's still a state of flux. This is just really something that's very hard to know about. Predicting the future is hard. My current best guess is it's about even odds that we're able to fully automate OpenAI within the next 10 years. So maybe that's a 50-50.The world with AI research automation (10:59). . . I'm talking about 30 percent growth every year. I think it gets faster than that. If you want to know how fast it eventually gets, you can think about the question of how fast can a kind of self-replicating system double itself?So then what really would be the impact of that kind of AI research automation? How would you go about quantifying that kind of acceleration? What does the world look like?Yeah, so many possibilities, but I think what strikes me is that there is a plausible world where it is just way, way faster than almost everyone is expecting it to be. So that's the world where you fully automate OpenAI, and then we get that feedback loop that I was talking about earlier where AIs make their algorithms way more efficient, now you've got way more of them, then they make their algorithms way more efficient again, now they're way smarter. Now they're thinking a hundred times faster. The feedback loop continues and maybe within six months you now have a billion superintelligent AIs running on this OpenAI data center. The combined cognitive abilities of all these AIs outstrips the whole of the United States, outstrips anything we've seen from any kind of company or entity before, and they can all potentially be put towards any goal that OpenAI wants to. And then there's, of course, the risk that OpenAI's lost control of these systems, often discussed, in which case these systems could all be working together to pursue a particular goal. And so what we're talking about here is really a huge amount of power. It's a threat to national security for any government in which this happens, potentially. It is a threat to everyone if we lose control of these systems, or if the company that develops them uses them for some kind of malicious end. And, in terms of economic impacts, I personally think that that again could happen much more quickly than people think, and we can get into that.In the first paper we mentioned, it was kind of a thought experiment, but you were really talking about moving the decimal point in GDP growth, instead of talking about two and three percent, 20 and 30 percent. Is that the kind of world we're talking about?I speak to economists a lot, and —They hate those kinds of predictions, by the way.Obviously, they think I'm crazy. Not all of them. There are economists that take it very seriously. I think it's taken more seriously than everyone else realizes. It's like it's a bit embarrassing, at the moment, to admit that you take it seriously, but there are a few really senior economists who absolutely know their stuff. They're like, “Yep, this checks out. I think that's what's going to happen.” And I've had conversation with them where they're like, “Yeah, I think this is going to happen.” But the really loud, dominant view where I think people are a little bit scared to speak out against is they're like, “Obviously this is sci-fi.”One analogy I like to give to people who are very, very confident that this is all sci-fi and it's rubbish is to imagine that we were sitting there in the year 1400, imagine we had an economics professor who'd been studying the rate of economic growth, and they've been like, “Yeah, we've always had 0.1 percent growth every single year throughout history. We've never seen anything higher.” And then there was some kind of futurist economist rogue that said, “Actually, I think that if I extrapolate the curves in this way and we get this kind of technology, maybe we could have one percent growth.” And then all the other economists laugh at them, tell them they're insane – that's what happened. In 1400, we'd never had growth that was at all fast, and then a few hundred years later, we developed industrial technology, we started that feedback loop, we were investing more and more resources in scientific progress and in physical capital, and we did see much faster growth.So I think it can be useful to try and challenge economists and say, “Okay, I know it sounds crazy, but history was crazy. This crazy thing happened where growth just got way, way faster. No one would've predicted it. You would not have predicted it.” And I think being in that mindset can encourage people to be like, “Yeah, okay. You know what? Maybe if we do get AI that's really that powerful, it can really do everything, and maybe it is possible.”But to answer your question, yeah, I'm talking about 30 percent growth every year. I think it gets faster than that. If you want to know how fast it eventually gets, you can think about the question of how fast can a kind of self-replicating system double itself? So ultimately, what the economy is going to be like is it's going to have robots and factories that are able to fully create new versions of themselves. Everything you need: the roads, the electricity, the robots, the buildings, all of that will be replicated. And so you can look at actually biology and say, do we have any examples of systems which fully replicate themselves? How long does it take? And if you look at rats, for example, they're able to double the number of rats by grabbing resources from the environment, and giving birth, and whatnot. The doubling time is about six weeks for some types of rats. So that's an example of here's a physical system — ultimately, everything's made of physics — a physical system that has some intelligence that's able to go out into the world, gather resources, replicate itself. The doubling time is six weeks.Now, who knows how long it'll take us to get to AI that's that good? But when we do, you could see the whole physical economy, maybe a part that humans aren't involved with, a whole automated city without any humans just doubling itself every few weeks. If that happens, and the amount of stuff we're able to reduce as a civilization is doubling again on the order of weeks. And, in fact, there are some animals that double faster still, in days, but that's the kind of level of craziness. Now we're talking about 1000 percent growth, at that point. We don't know how crazy it could get, but I think we should take even the really crazy possibilities, we shouldn't fully rule them out.Considering constraints (16:30)I really hope people work less. If we get this good future, and the benefits are shared between all . . . no one should work. But that doesn't stop growth . . .There's this great AI forecast chart put out by the Federal Reserve Bank of Dallas, and I think its main forecast — the one most economists would probably agree with — has a line showing AI improving GDP by maybe two tenths of a percent. And then there are two other lines: one is more or less straight up, and the other one is straight down, because in the first, AI created a utopia, and in the second, AI gets out of control and starts killing us, and whatever. So those are your three possibilities.If we stick with the optimistic case for a moment, what constraints do you see as most plausible — reduced labor supply from rising incomes, social pushback against disruption, energy limits, or something else?Briefly, the ones you've mentioned, people not working, 100 percent. I really hope people work less. If we get this good future, and the benefits are shared between all — which isn't guaranteed — if we get that, then yeah, no one should work. But that doesn't stop growth, because when AI and robots can do everything that humans do, you don't need humans in the loop anymore. That whole thing is just going and kind of self-replicating itself and making as many goods as services as we want. Sure, if you want your clothes to be knitted by a human, you're in trouble, then your consumption is stuck. Bad luck. If you're happy to consume goods and services produced by AI systems or robots, fine if no one wants to work.Pushback: I think, for me, this is the biggest one. Obviously, the economy doubling every year is very scary as a thought. Tech progress will be going much faster. Imagine if you woke up and, over the course of the year, you go from not having any telephones at all in the world, to everyone's on their smartphones and social media and all the apps. That's a transition that took decades. If that happened in a year, that would be very disconcerting.Another example is the development of nuclear weapons. Nuclear weapons were developed over a number of years. If that happened in a month, or two months, that could be very dangerous. There'd be much less time for different countries, different actors to figure out how they're going to handle it. So I think pushback is the strongest one that we might as a society choose, “Actually, this is insane. We're going to go slower than we could.” That requires, potentially, coordination, but I think there would be broad support for some degree of coordination there.Worries and what-ifs (19:07)If suddenly no one has any jobs, what will we want to do with ourselves? That's a very, very consequential transition for the nature of human society.I imagine you certainly talk with people who are extremely gung-ho about this prospect. What is the common response you get from people who are less enthusiastic? Do they worry about a future with no jobs? Maybe they do worry about the existential kinds of issues. What's your response to those people? And how much do you worry about those things?I think there are loads of very worrying things that we're going to be facing. One class of pushback, which I think is very common, is worries about employment. It's a source of income for all of us, employment, but also, it's a source of pride, it's a source of meaning. If suddenly no one has any jobs, what will we want to do with ourselves? That's a very, very consequential transition for the nature of human society. I think people aren't just going to be down to just do it. I think people are scared about three AI companies literally now taking all the revenues that all of humanity used to be earning. It is naturally a very scary prospect. So that's one kind of pushback, and I'm sympathetic with it.I think that there are solutions, if we find a way to tax AI systems, which isn't necessarily easy, because it's very easy to move physical assets between countries. It's a lot easier to tax labor than capital already when rich people can move their assets around. We're going to have the same problem with AI, but if we can find a way to tax it, and we maintain a good democratic country, and we can just redistribute the wealth broadly, it can be solved. So I think it's a big problem, but it is doable.Then there's the problem of some people want to stop this now because they're worried about AI killing everyone. Their literally worry is that everyone will be dead because superintelligent AI will want that to happen. I think there's a real risk there. It's definitely above one percent, in my opinion. I wouldn't go above 10 percent, myself, but I think it's very scary, and that's a great reason to slow things down. I personally don't want to stop quite yet. I think you want to stop when the AI is a bit more powerful and a bit more useful than it is today so it can kind of help us figure out what to do about all of this crazy stuff that's coming.On what side of that line is AI as an AI researcher?That's a really great question. Should we stop? I think it's very hard to stop just after you've got the AI researcher AI, because that's when it's suddenly really easy to go very, very fast. So my out-of-the-box proposal here, which is probably very flawed, would be: When we're within a few spits distance — not spitting distance, but if you did that three times, and we can see we're almost at that AI automating OpenAI — then you pause, because you're not going to accidentally then go all the way. It is actually still a little bit a fair distance away, but it's actually still, at that point, probably a very powerful AI that can really help.Then you pause and do what?Great question. So then you pause, and you use your AI systems to help you firstly solve the problem of AI alignment, make extra, double sure that every time we increase the notch of AI capabilities, the AI is still loyal to humanity, not to its own kind of secret goals.Secondly, you solve the problem of, how are we going to make sure that no one person in government or no one CEO of an AI company ensures that this whole AI army is loyal to them, personally? How are we going to ensure that everyone, the whole world gets influenced over what this AI is ultimately programmed to do? That's the second problem.And then there's just a whole host of other things: unemployment that we've talked about, competition between different countries, US and China, there's a whole host of other things that I think you want to research on, figure out, get consensus on, and then slowly ratchet up the capabilities in what is now a very safe and controlled way.What else should we be working on? What are you working on next?One problem I'm excited about is people have historically worried about AI having its own goals. We need to make it loyal to humanity. But as we've got closer, it's become increasingly obvious, “loyalty to humanity” is very vague. What specifically do you want the AI to be programmed to do? I mean, it's not programmed, it's grown, but if it were programmed, if you're writing a rule book for AI, some organizations have employee handbooks: Here's the philosophy of the organization, here's how you should behave. Imagine you're doing that for the AI, but you're going super detailed, exactly how you want your AI assistant to behave in all kinds of situations. What should that be? Essentially, what should we align the AI to? Not any individual person, probably following the law, probably loads of other things. I think basically designing what is the character of this AI system is a really exciting question, and if we get that right, maybe the AI can then help us solve all these other problems.Maybe you have no interest in science fiction, but is there any film, TV, book that you think is useful for someone in your position to be aware of, or that you find useful in any way? Just wondering.I think there's this great post called “AI 2027,” which lays out a concrete scenario for how AI could go wrong or how maybe it could go right. I would recommend that. I think that's the only thing that's coming top of mind. I often read a lot of the stuff I read is I read a lot of LessWrong, to be honest. There's a lot of stuff from there that I don't love, but a lot of new ideas, interesting content there.Any fiction?I mean, I read fiction, but honestly, I don't really love the AI fiction that I've read because often it's quite unrealistic, and so I kind of get a bit overly nitpicky about it. But I mean, yeah, there's this book called Harry Potter and the Methods of Rationality, which I read maybe 10 years ago, which I thought was pretty fun.On sale everywhere The Conservative Futurist: How To Create the Sci-Fi World We Were Promised Faster, Please! is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit fasterplease.substack.com/subscribe

China recently came out with its latest five-year plan for growth, which will guide the world's second largest economy through 2030. In it, top Communist Party leaders have pushed to boost the country's strength in manufacturing to the next level by upgrading older factories with advanced technologies for automation.The challenge, according to the Chinese ministry of education, is that the sector has tens of millions of open jobs because there aren't enough skilled workers in the labor force to fill them.One school is trying to bridge that gap. Marketplace China correspondent Jennifer Pak visited it in Nanjing city.

China recently came out with its latest five-year plan for growth, which will guide the world's second largest economy through 2030. In it, top Communist Party leaders have pushed to boost the country's strength in manufacturing to the next level by upgrading older factories with advanced technologies for automation.The challenge, according to the Chinese ministry of education, is that the sector has tens of millions of open jobs because there aren't enough skilled workers in the labor force to fill them.One school is trying to bridge that gap. Marketplace China correspondent Jennifer Pak visited it in Nanjing city.

So there's this guy, Bora Celik. Software engineer, thirty years in the game. Last year he tells his investors something crazy: SaaS is dead. Not dying. Dead. And here's the thing - he might be right. See, while everyone's playing with ChatGPT, asking it questions, Bora's building these things called AI agents. They don't just answer questions. They do the work. Like, actually reach out to influencers, negotiate deals, send products, follow up. No humans involved. One of his clients, Harney & Sons Tea, they've got agents running their entire influencer program. The agents find people, check their engagement rates, send emails, track who posts. Everything. And the wildest part? The CEOs of these $100 million companies are building their own agents now. Using tools anyone can access. Today, Bora shows us exactly how.SPONSORSSwym - Wishlists, Back in Stock alerts, & moregetswym.com/kurtCleverific - Smart order editing for Shopifycleverific.comZipify - Build high-converting sales funnelszipify.com/KURTLINKSN8N Agent Builder: https://n8n.io/ai-agents/Agentic Brand Newsletter: https://agenticbrand.ai/Agentic: https://a.gentic.co/WORK WITH KURTApply for Shopify Helpethercycle.com/applySee Our Resultsethercycle.com/workFree Newsletterkurtelster.comThe Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.