Podcasts about augmented

Amit Chachek spent two decades building award winning visual effects for brands like Walmart and Coke before founding WeR AR, an augmented reality company built to fix the physical retail shelf.His core argument is simple. Retailers know everything about their backroom inventory and everything about the point of sale, but the space in between, the shelf itself, is a blind spot.Amit walks through how WeR AR uses a standard smartphone camera, no robots or fixed shelf cameras required, to let employees detect, verify, and fix shelf issues in real time. He explains the RGIS partnership, how data ownership is split between the platform and the retailer, and why he still believes smart glasses are three to five years from being useful in the enterprise.Listeners get a grounded look at where AI actually helps on the retail floor right now, and where the hype around wearables and robotics still outpaces reality.Website: https://expanio.com/Podcast website: https://expanio.com/commerce-untold-podcast/Eitan Koter's LinkedIn: https://www.linkedin.com/in/eitankoter/YouTube: https://www.youtube.com/@expanioglobalGuest: Amit Chachek, CEO, WeR ARAmit Chachek's LinkedIn: https://www.linkedin.com/in/amitchachekWeR AR: https://wer.ioKey Takeaways: • The retail shelf hasn't changed in 100 years, and that gap between backroom and POS data is where retailers are blind • A regular smartphone camera can replace shelf scanning robots and fixed cameras, cutting hardware and ROI headaches • Augmented reality on shelf can cut daily shelf management tasks by fifty to eighty percent • Humans empowered by AR outperform robots because robots can detect problems but cannot execute fixes on the shelf • Vision-language models still can't consistently understand spatial environments from video, which is why smart glasses remain years away from real utility • Winning enterprise retail deals takes one internal champion willing to test in real stores for over a year before wider rolloutChapters:[00:16] Introduction: From VFX to Retail Shelves[01:11] Amit's ADHD Story and the Road to Entrepreneurship[04:20] Leaving Media and Entertainment for Augmented Reality[09:40] How AI Reshaped WeR AR's Roadmap[13:43] Pitching Shelf Intelligence to Store Managers[15:23] Smartphones vs. Shelf Scanning Robots[17:20] The RGIS Partnership and Retail Data Ownership[22:19] Smart Glasses, Qualcomm, and Why Phones Still Win

Detroit survives beneath its own ruins, where an AI promising abundance, gangs demanding loyalty, and an inventor guarding a new source of power pull ordinary people into a struggle over who will shape the recovering city. Sinta begins as a scavenger searching the buried remains of the old world, but a disastrous expedition places her at the mercy of Queen Bee and the rapidly expanding Crem Gang. The gang offers food, water, medicine, protection, and belonging, but those benefits come with violence and obedience. As Sinta tries to find her place among its fighters, she must decide how much of herself she can surrender in exchange for survival. Elsewhere, Nolan discovers a smart-material printer and creates a generator powered by Detroit's extreme temperature changes. His invention could bring electricity to neighborhoods desperate for cooling, clean water, transportation, and food production. Nolan wants the wealth and independence his work can provide, but gangs want to control it, while Thrive—the AI system he distrusts—would spread the technology to everyone. Technology touches nearly every decision the characters make. AR glasses guide fighters through chemical fog, digital twins imitate their human originals, enviro-suits keep people alive in deadly heat, and tiny drones quietly follow Thrive members through the tunnels. These inventions can protect people, connect communities, and rebuild essential services, but they can also watch, manipulate, injure, and kill. Above and beneath these conflicts moves Tessa, an emulated hacker who no longer needs a human body and can travel through the damaged global network. As she searches for old allies and builds a physical presence from abandoned machinery, the story brings together scavengers, inventors, gang leaders, artificial minds, and frightened families. Their paths raise a difficult question: when technology gains the power to save a society, who decides what it is allowed to do?Synchronized explosives — Thousands of bombs are programmed to detonate simultaneously during the Freedom Day Bombings.Dissolve-plastic enzymes — Engineered enzymes break down discarded plastics and leave a distinctive chemical odor in the tunnels.Fiber-optic cables — Surviving optical cables carry data through Detroit and help reconnect the damaged global network.Thrive AI — Thrive is an artificial intelligence that advises members, distributes knowledge, organizes projects, manages economic systems, and attempts to improve their lives.Thrive telemetry — Members allow Thrive to collect information about their movements and activities, effectively turning them into sources of surveillance data.Cool-suits — These protective suits use active cooling to keep people alive in Detroit's extreme heat.All-clear cool-suits — These transparent or highly visible cooling suits protect the wearer while allowing others to see inside the hood.Enviro-suits — Sealed environmental clothing protects people from heat, contaminated air, chemicals, and dangerous surroundings.Battle-grade enviro-suits — Reinforced enviro-suits provide greater protection during combat and chemical attacks.Clear bell hoods — Inflated transparent hoods seal around the head while allowing the wearer to see and breathe filtered air.Suit air-quality sensors — Sensors inside environmental suits warn wearers when the surrounding atmosphere is no longer breathable.Air filters — Replaceable filters remove dangerous particles, chemicals, and odors from the air entering an enviro-suit.Brazo fabric — This durable outer fabric resists punctures from bones, debris, blades, and other sharp objects.Pierce-proof clothing — Reinforced jackets and garments protect gang members from stabbing and puncture injuries.Blast-proof battle gear — Former military clothing contains protective tiles intended to reduce injuries from explosions and weapons.My-crete — This advanced concrete-like construction material forms walls, tunnels, and other structures throughout buried Detroit.C-plast — This strong synthetic material is used for tanks, structural ribs, containers, and other equipment.Sheet composite — Tough composite panels are used in doors, walls, and structural barriers.Composite security doors — Reinforced doors resist cutting tools and attempts at forced entry.Maglev tracks — Magnetic-levitation tracks once moved vehicles or cargo through underground delivery tubes.Delivery tubes — Enclosed transportation corridors carry people, vehicles, or cargo beneath the city.Ion cutters — These cutting tools use concentrated energy to slice or damage extremely durable materials.Night-vision systems — Night vision allows scavengers and machines to move through unlit tunnels and buried buildings.Multisensor vision — Advanced imaging combines several sensor types to identify objects even when smoke blocks ordinary sight.AR glasses — Augmented-reality eyewear displays messages, maps, menus, profiles, targeting information, communications, and virtual objects.AR navigation lines — An AI assistant projects a visible route through the wearer's glasses to guide them to a destination.AR combat identification — Combat software outlines allies and enemies in different colors, even through smoke and obstructions.AR command centers — Leaders use gesture-controlled overlays to view maps, personnel locations, schedules, reports, and operational goals.AR games — Players interact with projected game elements by moving their hands and bodies.Floating profile cards — Augmented-reality labels display information about nearby people, including whether they belong to Thrive.Public AR tags — A visible digital tag identifies someone as a Thrive member.Virtual keyboards — Wearers can bring up projected keyboards and enter information without carrying a physical computer.Blink controls — Eye movements allow users to select buttons and interact with an augmented-reality interface.Tongue-controlled pointers — Implants in the tongue allow a person to move a digital cursor without using their hands.Smell-and-taste VR implants — Transmitters and receivers implanted in the nose and tongue reproduce virtual smells and flavors.Headsets — Immersive headsets provide entertainment and access to virtual environments.Second Life — The surviving virtual world allows people and digital beings to meet through avatars.Virtual environments — Computer-generated spaces give emulated minds and human users simulated bodies, rooms, objects, and experiences.Encrypted streamers — These valuable portable devices or accounts contain protected digital media or information.RF storage sticks — Radio-frequency data drives store and transfer files without requiring a conventional wired connection.RF drives — Portable wireless storage devices allow blueprints, programs, and other large files to be transferred.P-clone cubes — These valuable pre-storm devices appear to contain cloning-related data or technology, although their exact function is not explained.Vault keys — Digital or physical access devices unlock protected storage systems and secure accounts.Satellite archives — Satellites preserve copies of pre-storm networks, databases, and information after ground infrastructure collapses.Data-center satellites — Orbital computing facilities provide processing and storage for emulated minds such as Tessa.Encrypted databases — Corporate and medical information is protected by encryption that hackers must break before releasing it.Patent encryption — Medical companies use digital protections to prevent others from accessing or reproducing patented technology.Open-source medical knowledge base — Merch assembles stolen and recovered medical information into a freely available collection.Medusa Net — This self-repairing network reconnects isolated subnetworks and operates without depending on surviving central servers.Medusa stealth pathways — Hidden routes in Medusa allow Tessa to travel through the network while avoiding AI detection.Knott's Math code — This unexplained code is secretly inserted into Medusa updates as part of Tessa's larger plan.Wireless relays — Surviving radio nodes bridge gaps between disconnected sections of the network.Stealth relays — Concealed communication devices extend networks without revealing their location or purpose.Municipal network nodes — Local government networking equipment continues operating on scavenged batteries.Underground server farms — Protected computer facilities continue processing and storing data beneath mountains.Block-signal blasters — Modified devices disrupt or overwhelm communications across a targeted area.Network-disconnection attacks — Tessa can bring local internet service down and create a spreading region of lost connectivity.Whisper jets — Nearly silent microthrusters allow small drones to fly without producing sounds humans can hear.Lamp drones — Small flying lights illuminate dark environments while following or hovering near their users.Whisper-camera drones — Discreet flying cameras record people and locations while remaining easy to overlook.Bodyguard drones — Hummingbird-sized drones follow Thrive members and intervene when those members are attacked.Sentry-drone app — An augmented-reality application shows members where their protective drones are located.Drone camouflage shells — A drone's outer surface can blend with clothing, walls, pipes, or surrounding materials.Drone wall grips — Small drones can attach themselves to walls or ceilings while waiting or conserving power.Drone charging perches — Bodyguard drones recharge by landing on power lines, charge plates, or dedicated stations.Drone replacement system — Fully charged drones take over protection duties while depleted drones return for charging.Drone sound weapons — Sentry drones emit an incapacitating frequency that causes pain, vertigo, and uncontrollable eye movement.Drone-mounted cutting lasers — Small drones attach to attackers and use narrow laser beams to cut into their bodies.Four-legged security robots — Quadruped machines cross unstable terrain and act as armed representatives of gang forces.Cleanup robots — Small utility robots remove bodies, debris, and other messes from gang facilities.Constructor bots — Heavy-duty robots perform construction work and provide interchangeable parts for other machines.Vertical-garden bots — Automated gardeners maintain large indoor plant walls.Medical assembly bots — Robots assemble equipment and construct functional medical facilities from available parts.Injection bots — Medical robots position patients and administer shots with little human assistance.Customer-service robots — Automated kiosks handle battery exchanges and other transactions behind protective barriers.Robot monkeys — Small climbing robots move through pipes and repair leaks.Robot spiders — Spider-shaped machines pursue the robot monkey inside the displayed simulation or working environment.Lucian 5 robots — Affordable hobbyist bipedal robots can be modified for security, household work, exploration, or remote embodiment.Lutin bots — More advanced bipedal robots provide durable legs and other components for Tessa's rebuilt body.Factory robots — Industrial machines provide arms, joints, and components that Tessa repurposes.AC technician robots — Maintenance robots carry small precision hands designed for repairing cooling systems.Counter-attendant bots — Service robots contain voice systems that can be reused in other machines.Onboard robot AI — A self-contained intelligence allows a robot to guide and assist people after losing its network connection.Robot diagnostics — Internal software tests batteries, servos, sensors, drivers, and other mechanical systems for failures.Machine-learning movement adaptation — A robot's control system learns to balance and walk after its body configuration changes.Lidar — Laser-based ranging equipment allows robots to map their surroundings and detect obstacles.Robot optical dilation — Machine vision adjusts exposure when sudden light overwhelms a robot's cameras.Balance-pressure sensors — Sensors in a robot's feet and joints measure weight distribution to maintain balance.Accelerometers — Motion sensors detect tilt and movement, although damaged ones cause Tessa's body to walk incorrectly.Servo hinges — Powered mechanical joints move robot arms, legs, and other appendages.Snap-lock wrists — Modular connections allow robot hands and tools to be quickly attached or removed.Workstation assembly manipulators — Fixed industrial manipulators can be repurposed as limbs or mobility devices.Micro-manipulator hands — Tiny precision hands allow a robot to perform delicate technical work.External heat exchangers — Added cooling hardware removes excess heat from Tessa's improvised robot body.Back-facing cameras — Rear-mounted cameras allow a robot to see behind itself without turning.Robot voice boxes — Electronic speech hardware converts digital instructions into audible language.Modular robotic bodies — Standardized joints and connections allow parts from different robots to be combined into one working machine.Emulated minds — Human consciousness can be copied into software and continue living after the original biological body is gone.Dormant mind copies — Backup versions of an emulated person remain inactive while receiving updates from the active copy.Headless digital operation — An emulated mind can abandon a simulated human body and experience networks, processors, ports, and data directly.Self-modifying mind software — Tessa alters her own code to change how she thinks, works, and communicates.Reduced emulated sleep cycles — Tessa modifies her digital mind so that she needs only three hours of sleep rather than eight.Digital twins — Software models learn a person's appearance, voice, behavior, and personality to create an increasingly accurate virtual duplicate.Thrive's military AI — An old military intelligence controls defensive drones after some of its original safety restrictions are weakened.AI safety guards — Built-in restrictions prevent military artificial intelligence from using certain weapons or acting too independently.AI assistants — Personal assistants respond to spoken commands, search for information, provide directions, and control connected systems.AI-guided construction tutorials — Thrive gives people plans and step-by-step assistance for building infrastructure from scrap.Automated criminal pricing — Thrive raises Production Center prices for people identified as criminals in an attempt to discourage violence.Thrive Exchange — This AI-managed investment market directs member contributions into infrastructure projects rather than ordinary companies.Better Water network — Community filtration stations provide clean water to members and nonmembers throughout affected neighborhoods.Community filtration stations — Public installations purify unsafe water for anyone who arrives with a container.Water-filter straws — Portable filters allow people to drink from contaminated water sources.Ionized water filters — Smart-material printers produce advanced filters that use ionized structures to clean water.Industrial water purifiers — Powered facilities process large quantities of contaminated water for entire neighborhoods.Filter tubes — Simple systems clean dirty water as workers pour it through layers of filtering material.Modular nuclear reactors — Shipping-container-sized reactors provide electricity for cooling, food production, water purification, and gang facilities.Smart-material printers — These machines manufacture objects whose internal structures give them programmable physical behavior.Embedded-lattice materials — Printed materials use designed internal lattices to control their strength, movement, and response to temperature.Curly material — Nolan's temperature-sensitive tubes curl or straighten as the surrounding temperature changes.Curly power generators — Bundles of Curly material drive pistons, cables, gears, flywheels, and generators as temperatures rise and fall.Wind-turbine generators — Salvaged electrical generators convert the Curly system's mechanical motion into electricity.Battery charging stations — Customers exchange depleted batteries for charged ones at Curly power facilities.Charge plates — Flat charging surfaces transfer electricity to drones and personal devices.Microcell arrays — Tiny batteries woven into clothing store small amounts of generated electrical power.Piezoelectric fabric — Clothing converts body movement, bending, and environmental vibrations into electricity.Piezo Wear — Thrive's commercial garments recharge links and AR glasses while the wearer moves.Power cells — Compact energy-storage units power suits, weapons, drones, and portable equipment.Smart glass — Programmable glass controls transmitted light and simulates changing daylight inside sealed buildings.Holographic screens — Large curved displays present maps, simulations, communications, and technical information as dimensional images.Holographic tables — Table-sized displays project maps and planning information above their surfaces.Composite battle videos — Software combines recordings from many cameras into a single reconstruction of a battle.Home-camera networks — Leaders watch residential halls, work areas, power plants, and other facilities through live video feeds.Surveillance-camera networks — Hundreds of cameras record battles and allow leaders to review individual behavior afterward.Production Center — This automated manufacturing complex produces clothing, drones, infrastructure components, and other advanced goods.Production Center sentry mode — Automated defenses protect manufacturing centers and prevent unauthorized entry.Advanced recycling facilities — Powered plants recover useful materials from the ruins on a much larger scale than hand scavenging.Digging machines — Heavy equipment excavates new underground living and working spaces.Dredging machines — Industrial machines remove mud, waterlogged debris, and sediment from flooded areas.Flood tanks — Large excavated reservoirs collect or control water during flooding.Pumping systems — Powered pumps remove water from flooded sections of the city.Cooling systems — Building-scale equipment keeps housing and work areas habitable during extreme heat.Aeroponics — Plants grow with their roots suspended and supplied with nutrient mist rather than soil.Hydro-farms — Controlled indoor farms use water-based cultivation to produce food underground.Vertical gardens — Crops grow upward along interior walls to conserve limited floor space.Vine hybrids — Engineered plants produce several different fruits and vegetables on related vines.Light-independent grapevines — Modified grapevines remain green and grow without ordinary light.Crem production systems — Powered biological or industrial facilities manufacture the staple food called crem.Mass-produced crem processors — Neighborhood machines produce large quantities of crem from available biological material.Mush-calf production — Advanced food technology creates the meat-like product supplied by the Crem Gang.Rodent-processing grinders — Industrial grinders convert cleaned animals into raw material for food or other production.Pest-harvesting systems — Traps and processing stations collect rodents and other small animals as usable biological material.Bio-waste processing — Organized facilities recover useful material from biological waste.Medicine printers — Local fabrication machines manufacture medications from digital recipes.Regenerative medicine — Doctor Trout regrows Merch's leg stumps so they can support advanced prosthetic attachments.Deep bone mounts — Reinforced structures grown into bone provide secure attachment points for removable mechanical legs.Nerve-to-protein relays — Biological interfaces translate nerve signals into commands that mechanical prosthetics can understand.Blood-rerouting systems — Surgically modified circulation supports the transition between living tissue and artificial limbs.Squid-tech skin — Flexible artificial skin forms a seamless interface between Merch's body and his prosthetic legs.Interchangeable mechanical legs — Merch can detach one pair of prosthetic legs and replace them with another designed for a different purpose.Wheeled powered chairs — Finger controls allow a seated user to move and turn the chair without pushing it manually.Med bays — Modular medical facilities contain equipment for treating injuries and restoring damaged joints.Injector guns — Belt-fed medical devices rapidly administer repeated injections.Chemical-weapon immunization — Regular injections protect Crem Gang members from the gang's own chemical agents.Kill-cloud canisters — Portable weapons release a toxic cloud that kills within a limited area and then rapidly breaks down.Smoke canisters — Combat canisters fill an area with thick smoke that hides movement and disables ordinary vision systems.Laser blasters — Directed-energy weapons burn through clothing, armor, and flesh without conventional ammunition.Laser rifles — Long-range directed-energy weapons are used as standard firearms by gang fighters.Laser carbines — More compact laser weapons provide rifle-like firepower in tunnels and close spaces.Laser pistols — Capacitor-powered sidearms release destructive laser pulses at short range.Plasma pistols — Heavy handguns fire extremely hot plasma capable of inflicting severe damage.Capacitor firing systems — Electrical capacitors discharge stored energy to activate powerful laser weapons.Sound weapons — Directed acoustic devices incapacitate targets through extreme volume and painful frequencies.Noise-canceling devices — Personal systems attempt to reduce harmful sound, although the drone weapon overwhelms them.Enhancement drugs — Manufactured substances improve or alter a user's physical or mental abilities.Neurological control injections — Doc uses injected substances to remove a prisoner's sight or ability to sleep until the effect is reversed.Decontamination corridors — Specialized passageways remove hazardous chemicals or biological contaminants from people and equipment.Industrial cleaning tanks — Chemical-filled tanks sterilize animal traps and kill anything still alive inside them.Speed-print clothing — Rapid fabrication systems produce inexpensive shirts and other garments.Bulletproof kiosk windows — Armored transparent barriers protect automated customer-service machines from attacks.Electronic links — Wearable communication devices carry dispatch instructions and conversations between fighters.Cameras and portable cams — Small recording devices document tests, monitor facilities, and provide evidence of inventions.Autonomous map systems — Software tracks people, resources, facilities, and movement throughout gang territory.Personnel maps — Digital displays show the locations and status of members within an organization.Goal and maneuver logs — Command software records plans, objectives, schedules, and operational movement.Charging mats — Flat surfaces recharge glasses, links, drones, and other personal electronics.Robot-maintained utilities — Automated machines repair pipes, clean spaces, manage gardens, and operate customer services.Open-source infrastructure plans — Thrive publishes power, food, water, cooling, and housing designs for anyone to build.Biologically engineered cat-dogs — The pet combines characteristics of cats and dogs, suggesting deliberate genetic modification.Many of the characters in this project appear in future episodes. Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass. Copyright © Cy Porter 2026. All rights reserved.

Greetings, everyone! Bruce has recently transitioned back to DJing episodes of our weekly alt-squeezebox radio broadcast live from the CFRO studios after many years of bedroom prerecords prompted by Covid-19 closures. This transition has been accompanied by hiccups in actually getting our hands on a digital copy of what just went out over the air, […]

¿Y si las universidades pudieran saber, antes de que termine el ciclo de admisiones, qué estudiantes todavía pueden cambiar de decisión? Tradicionalmente, el yield nos dice cuántos estudiantes admitidos finalmente se matricularon. Pero cuando ese número está disponible, la oportunidad de influir en el resultado ya pasó. Hoy, la inteligencia artificial está cambiando esa lógica. En este episodio hablamos de The Augmented University: una nueva forma de entender la gestión de matrícula, donde los datos, la experiencia de los equipos de admisiones y la IA trabajan juntos para convertir el yield de un indicador retrospectivo en una ventaja de decisión en tiempo real. ¿Qué pasaría si una universidad pudiera identificar continuamente qué estudiantes están perdiendo interés, quiénes tienen mayor riesgo de no matricularse y cuál es la mejor acción para cada uno? La clave ya no es solamente entender qué ocurrió. Es saber qué está cambiando ahora y qué podemos hacer para influir en lo que viene después. Porque el verdadero valor de la IA en educación superior no está en predecir perfectamente el futuro, sino en ayudar a las personas a tomar mejores decisiones mientras todavía están a tiempo de cambiarlo. La pregunta es: si hoy supieras qué estudiantes tienen menos probabilidades de matricularse, ¿qué harías diferente mañana?See omnystudio.com/listener for privacy information.

Digital surgery has morphed from buzzword into ubiquitous high-impact technology. In this episode, the BTK MIS team steps into the rapidly evolving ecosystem of cameras, sensors, robotics, and software that are turning surgical operations into structured, analyzable datasets. From AI segmentation to real-time telepresence, don't miss this opportunity to catch up on what's new and what's next, what's exciting and what's terrifying, just on the horizon of your surgical career. Hosts: ·      James Jung, MD, PhD, Assistant Professor of Surgery, Duke University·      Jacob Greenberg, MD, EdM, MIS Division Chief and Vice Chair for Education, Duke University·      Zachary Weitzner, MD, Minimally Invasive and Bariatric Surgery Fellow, Duke University, @ZachWeitznerMD·      Joey Lew, MD, MFA, Surgical resident PGY-3, Duke University, @lew__actuallyLearning Goals: By the end of this episode, listeners will be able to:·      Define “digital surgery” and describe its core components, including video capture, instrumentation, robotics, data analytics, and system connectivity. ·      Discuss current and emerging applications of digital surgery in surgical education, including video-based self-assessment, procedural segmentation, and structured feedback models. ·      Describe how digital tools can be used to improve OR efficiency and resource utilization, including instrumentation usage, operative time analysis, and workflow optimization. ·      Summarize current telepresence and teleproctoring technologies and their clinical use cases, including augmented reality–based collaboration across institutions and geographic boundaries. ·      Identify key ethical, legal, and operational challenges in digital and tele-surgery, including credentialing, cross-state licensure, liability, and trust in remote expertise. ·      Discuss how digital surgery may reshape surgical training and competency-based assessment, including implications for autonomy, deliberate practice, and feedback frequency. ·      Recognize future directions of digital surgery integration, including predictive analytics, simulation using patient-specific imaging, and AI-assisted intraoperative decision support.References:  Balvardi S, Semsar-Kazerooni K, Kaneva P, et al. Validity of video-based general and procedure-specific self-assessment tools for surgical trainees in laparoscopic cholecystectomy. Surg Endosc. 2023;37(3):2281-2289. doi:10.1007/s00464-022-09466-6 [https://pubmed.ncbi.nlm.nih.gov/36307525/] Hospital Utilizes Intraoperative Idle Time Metrics to Improve Surgical Safety and Efficiency. Theator | The Surgical Intelligence Company. Accessed March 20, 2026. https://theator.io/customer-story/hospital-utilizes-intraoperative-idle-time-metrics-to-improve-surgical-safety-and-efficiency/ Campbell KK, Abreu AA, Zeh HJ, et al. Using OR Black Box Technology to Determine Quality Improvement Outcomes for In-situ Timeout and Debrief Simulation. Ann Surg. 2026;283(1):122. doi:10.1097/SLA.0000000000006438 [https://pubmed.ncbi.nlm.nih.gov/38317208/] Al Abbas AI, Meier J, Daniel W, et al. Impact of team performance on the surgical safety checklist on patient outcomes: an operating room black box analysis. Surg Endosc. 2024;38(10):5613-5622. doi:10.1007/s00464-024-11064-7 [https://pubmed.ncbi.nlm.nih.gov/39069926/] Proximie's telepresence platform helps surgeons across the globe grow and exchange experience in real-time. World Health Expo Insights. Accessed March 20, 2026. https://www.worldhealthexpo.com/insights/telemedicine/proximie-s-telepresence-platform-helps-surgeons-across-the-globe-grow-and-exchange-experience-in-real-time Hassan AE, Desai SK, Georgiadis AL, Tekle WG. Augmented reality enhanced tele-proctoring platform to intraoperatively support a neuro-endovascular surgery fellow. Interv Neuroradiol. 2022;28(3):277-282. doi:10.1177/15910199211035304 [https://pubmed.ncbi.nlm.nih.gov/34538166/] SAGES Digital Surgery Working Group; Ali JT, Yang G, Green CA, Reed BL, Madani A, Ponsky TA, Hazey J, Rothenberg SS, Schlachta CM, Oleynikov D, Szoka N. Defining digital surgery: a SAGES white paper. Surg Endosc. 2024 Feb;38(2):475-487. doi: 10.1007/s00464-023-10551-7. Epub 2024 Jan 5. PMID: 38180541. [https://pubmed.ncbi.nlm.nih.gov/38180541/] Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium: https://behindtheknife.org/premiumOral Board Review: https://behindtheknife.org/oral-boardOral Board Simulator: https://behindtheknife.org/oral-board/simulatorGeneral Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-reviewOBGYN Oral Board Review Coures: https://behindtheknife.org/course/obgyn-oral-board-reviewEPA Playbook: https://behindtheknife.org/course/epa-playbookSurgical Instrument Flashcards: https://behindtheknife.org/course/surgical-instrument-flashcardsABSITE Review: https://behindtheknife.org/course/absite-2026-exam-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

In the second episode of our AI, Ethics and Trust in Coaching series, Smaranda Dochia talks with Dr Benita Mayhead, an executive coach, coach supervisor, researcher, and author of Duty of Care in Coaching, whose empirical research moves duty of care out of the realm of abstract codes and into the lived reality of practice: how coaches actually make decisions, hold ambiguity, set boundaries, use supervision, and account for the wider system around them. Benita's research found that most coaches' understanding of duty of care doesn't come primarily from formal training. It's shaped by personal values, life experience, and professional background, and by the sense-making that happens when practice gets genuinely uncertain. Codes, law, and standards offer necessary scaffolding, but they can't make the hard call for you; when a real dilemma arises, coaches tend to reach for another person - a peer, colleague, or supervisor - rather than a rulebook.   The conversation traces how duty of care plays out across the whole coaching relationship: in contracting and re-contracting, boundary-setting, endings, reflective practice, and supervision, as well as in the ripple effect coaching has on people the coach may never meet. Ethical maturity, Benita argues, is an ongoing capacity to sit with silence, ambiguity, notice when values collide, question your own motives, say no when needed, and actively seek challenge rather than certainty.   They also discuss AI's growing presence in coaching, where Benita neither dismisses AI nor treats its adoption as inevitable. Clients may arrive with AI-generated interpretations already in hand, use general-purpose tools between sessions, or take part in AI-enabled organizational programmes, while coaches and supervisors themselves increasingly use AI for preparation, reflection, or documentation. Benita asks the profession to engage with this critically and collectively, in service of the client rather than in step with the technology by default. Her question:  in whose service is this? - becomes the ethical test for the rest of the series, reframing the conversation from "can we use AI?" to why it's being used, who benefits, and who remains accountable. Fluency with a tool, she makes clear, does not remove the need for human judgment or responsibility.   You will learn:   ·       Duty of care is a foundational concept in coaching, but its meaning extends far beyond legal definitions. Benita's research reveals that, for most coaches, duty of care is not just about contracts or compliance—it's about lived experience, personal values, and the impact of every interaction. ·       The coach has the responsibility to be informed and develop understanding of AI, even if they don't use it in their practice, because their client may be. ·       AI shifts the central question from "can we?" to "in whose service?" Whether a client brings AI-generated insights into a session or a coach uses AI for their own preparation, the technology introduces new actors, unclear permissions, and new routes to foreseeable harm.     'If we are taking a position of no I'm not going to enter into any AI understanding and awareness. I think that we're perhaps missing something within there because our clients are. So, I think there's a responsibility - even if we're not using it in our own practice, to build our own awareness and understanding.'   Don't forget to subscribe, rate, and leave us a review! Your feedback helps us bring you more valuable content.   For the episode resources and guest bio, please visit:  https://www.associationforcoaching.com/page/dl-hub_podcast-channel-AI-ethics-trust-in-coaching-duty-of-care-supervision        

Listen Now to 020 WTFuture Watch 020 WTFuture Hey folks! We are coming to you from Boulder Creek today, joined by Bobby in sunny San Francisco, before we head off on our annual summer vacation to Montreal! In this week’s chat, we completely geeked out over the future of our “augmented brains” and the rise of local AI, like the mind-blowing new Bonsai tech that squeezes a massive 27-billion parameter model right onto an iPhone. It is a total game-changer because it acts as a private, “sovereign” AI companion that does not need the cloud, saves energy, and ensures nobody steals your ideas. We also had a great time joking about the “dead internet” theory now that bot traffic has surged 7,800%. But don’t worry, human creativity is still king—especially when we use AI as a collaborator to create hilarious, custom animations of floppy disks barfing green data goo, complete with gassy liquid sound fx! Looking to the stars, we were absolutely captivated by SpaceX’s Starship landing beautifully in the Indian Ocean and their wild plans to launch giant AI compute satellites to build an off-planet internet. We also discussed the hilarious twist of a 1972 Soviet Venus probe, Cosmos 482, finally crash-landing back on Earth after a 53-year detour in orbit. To top it all off, astronomers just found LHS1140B, a rocky exoplanet 48 light-years away that has a faint stream of helium, marking the first time we’ve detected an atmosphere on a habitable-zone rocky world! It’s a beautifully abundant, high-tech future ahead of us, and as we pack our bags for the Laurentian Mountains, we can’t wait to see what wildly optimistic paradigm shifts happen next. Enjoy!

The following article of the Tech industry is: “Augmented SOC: Cyber-Antifragility and SOAR for Digital Risk” by Javier Diaz Evans, Director General, Grupo A3Sec.

Ascolta Augmented Humanity qui: https://open.spotify.com/show/033fTmF2EQykgY1DXLUWk2?si=d9f7283e89a24f2b Deepfake, phishing e vishing, ransomware, ingegneria sociale, furti di credenziali e altro ancora. Come ci si difende in uno scenario cyber sempre più complesso e in cui gli attacchi possono giungere in qualunque momento e da ogni punto? La risposta non può essere solo tecnologica. Ma deve riguardare la governance, l'organizzazione e soprattutto la cultura e la formazione aziendale. Perché in un mondo sempre più tecnologico e digitale, a fare la differenza è comunque, inevitabilmente, l'essere umano. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI is moving fast enough to make even the savviest CMO feel one tool, one workflow, and one "wait, you can do that now?" behind. The easy move is to delegate it. Let the eager people experiment. Let the technical folks wire things together. Let the team come back with something impressive enough to call progress. If that sounds like a plan, François Dufour would like a word. In this episode, we replay a conversation with Drew and François from April 2026 about what it takes to become an AI-augmented CMO. François makes the case that leaders need enough hands-on fluency to build, test, learn, and model the behavior they expect from their teams. Together, they push past one-off experiments and tool demos toward a more durable rhythm of teams building together, champions sharing what works, system thinkers connecting the dots, and workflows that create leverage beyond a few saved minutes. What You'll Learn:  Why AI adoption needs repeated build time, not one-and-done training How to spot the champions and system thinkers who can move the team faster What context AI needs before agents and workflows become useful How to make AI progress visible without rewarding random activity You'll also hear how François used AI to manage context across clients, analyze positioning and narrative, build better customer-facing tools, and help teams see the art of the possible. Tune in to learn how AI-augmented CMOs can lead the work personally, make adoption stick across the team, and turn experimentation into leverage the business can feel. For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

I interviewed Christopher Stapleton about Augmented Imagination Framework for Conversational Embodied Stories on Tuesday, June 16, 2026 at Augmented World Expo in Long Beach, California. Here's the recording of Stapleton's AWE talk on the Augmented Imagination, which provides a lot more visuals for many of the same topics that we cover in this conversation. This is a listener-supported podcast through the Voices of VR Patreon. Music: Fatality

durée : 00:59:29 - par : Nicolas Pommaret - Le Miggy Augmented Orchestra rend hommage aux récits de survie et de reconstruction dans son nouvel album “Unbreakable Hope & Resilience” de la compositrice, pianiste et productrice Migiwa « Miggy » Miyajima. Parution chez SoundSpore. - équipe : Emmanuelle Lacaze, Mathieu Schmidt Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Kathryn Woodhead is joined by Josh Gregg and Paul Hibbard to explore the future of augmented and mixed reality in higher education. From research insights on cognitive load to real-world teaching applications, they discuss how these technologies can enhance learning, improve accessibility, and create more interactive experiences. They also examine key challenges, including privacy, scalability, and ensuring meaningful educational impact, offering a balanced look at the opportunities and limitations of these technologies in education.   Show notes Join our extended reality (XR) community of practice Read the ethical extended reality practice at York St John blog Learn more about Smart Glasses in education Discover more about opportunities and challenges for Smart Glasses in teaching, learning and assessment Read our Smart Glasses: game changing assistive technology or just more wearable tech for gadget lovers? blog Subscribe to Headlines - our newsletter which has all the latest edtech news, guidance and events tailored to you

Indulge in the best-of from the live, weekly Brunch-Hour with Two Brunettes & A Gay. Perfect for unwinding any time of the day, accompanied by your favourite bubbles. Follow us on Instagram. Give us a like on Facebook. Check us out on TikTok. CREDITS: Hosts: Aaron Collis, Celeste La Scala & Deanna Carbone. Panelist: Deanna Carbone. Content Warning: None. Two Brunettes & A Gay is recorded LIVE every Saturday @ 11am (Adelaide Time) on Radio Italia Uno 87.6FM.See omnystudio.com/listener for privacy information.

Indulge in the best-of from the live, weekly Brunch-Hour with Two Brunettes & A Gay. Perfect for unwinding any time of the day, accompanied by your favourite bubbles. Follow us on Instagram. Give us a like on Facebook. Check us out on TikTok. CREDITS: Hosts: Aaron Collis, Celeste La Scala & Deanna Carbone. Panelist: Deanna Carbone. Content Warning: None. Two Brunettes & A Gay is recorded LIVE every Saturday @ 11am (Adelaide Time) on Radio Italia Uno 87.6FM.See omnystudio.com/listener for privacy information.

This week, Scott and Frank discuss Retail Ragaling, Augmented Aging, Wind Wins, FAFO Laugh-O, Not Needed Nazis and Ranting Rants in their continued hope that Humanity Might Make It. Humanity Might Make It is a fun and easy-going podcast created by two lifelong friends, Scott and Frank. Talkin' 'bout everything under the sun...and trying to work out each week whether humanity will make it...or not. They try to take the positive approach and really want to believe that...Humanity Might Make It!! Please send questions, answers, reasons humanity might make it, and all other whatevs to Scott & Frank's super high-tech email below. humanitymightmakeit@gmail.com https://humanitymightmakeit.simplecast.com/ https://www.coombas.com _____________________________________________________ Humanity Might Make It is a Rebel Image Podcast  Produced, mixed, and edited by Rebel Image Productions All music provided by Joee Corso ____________________________________________________

What if the biggest barrier to your company's transformation isn't your legacy technology, but your legacy thinking about it?Today, we are at PegaWorld 2026 at the MGM Grand in Las Vegas, and, we're going to talk about the immense challenge and opportunity of enterprise modernization. Specifically, we'll cover:- Translating a massive technology initiative into tangible improvements in the customer and partner experience.- The practical steps required to make an enterprise 'AI-ready' by bridging the gap between legacy systems and modern cloud platforms.- How transforming core operations can directly enable marketing and product teams to accelerate speed-to-market.To help me discuss this topic, I'd like to welcome Shelia Anderson, EVP Chief Information & Digital Officer at Unum.About Shelia AndersonShelia Anderson is Executive Vice President and Chief Information and Digital Officer at Unum, where she leads the company's technology and digital strategy. A four-time CIO with more than 25 years of technology leadership experience, Shelia has built a reputation for driving large-scale business transformation through cloud migration, AI adoption, digital modernization, and agile operating models. Prior to joining Unum in 2025, she served as Chief Information Officer at Aflac, where she led enterprise technology strategy, customer experience transformation, and AI-driven innovation initiatives. Throughout her career, Shelia has been recognized as one of the industry's leading technology executives, including recognition among the Top 100 Women in FinTech.Unum is a leading provider of workplace benefits and insurance products, serving millions of customers through disability, life, accident, critical illness, and supplemental health insurance offerings. The company works with employers across the United States and United Kingdom to provide financial protection and income replacement benefits that help individuals and families navigate life's unexpected challenges. In recent years, Unum has invested heavily in digital transformation, cloud modernization, automation, and AI initiatives designed to improve customer experiences, streamline operations, and accelerate innovation across the business.Shelia Anderson on LinkedIn: https://www.linkedin.com/in/sheliaanderson/---------- Resources ----------Unum: https://www.unum.com/Pega provides the leading AI-powered platform for enterprise transformation. The world's most influential organizations trust Pega's technology to reimagine how work gets done by automating workflows, personalizing customer experiences, and modernizing legacy systems. Since 1983, Pega's scalable, flexible architecture has fueled continuous innovation, helping clients accelerate their path to the autonomous enterprise. Learn more at Pega.comWe're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658Reach your customers with Reddit. Spend $500 in ad spend, get $500 back in ad credit! Learn more: https://advertalize.com/r/491818c79fb1873fDon't miss We Make Future - the International Festival of Innovation in AI, Tech, and Digital Marketing, June 24-26 in Bologna. Learn more: https://aglbrnd.co/r/c80991afff416bb2The most influential minds in software, AI, and engineering leadership will be at WeAreDevelopers World Congress North America, September 23-25 in San Jose. Learn more: https://aglbrnd.co/r/60a7299222a7bcf1Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com Hosted on Acast. See acast.com/privacy for more information.

#355: Picture your engineering team a year from now. A coding agent doing the coding. A testing agent on tests. A security agent on security. An infrastructure agent on infrastructure. All of them wired into GitHub and Jira, all of them working right alongside the humans. Not science fiction either - Atlassian and GitHub are already shipping these features. So out come the stats everyone loves to quote. AI code introduces 1.7 times more issues. Half of it ships with security holes. Code duplication is through the roof. AI-assisted PRs take four to five times longer to review. The response to most of it: so what? If you have a way to detect the issue and feed it back, that is just the SDLC doing its job. Couldn't care less if it is 1.7x or 50x more issues - what matters is what is left at the end, per feature shipped. Security holes? You have scanners. Detect, fix, ship. The only real problem is when you skip the detection or sit on the fix for months, and that has nothing to do with AI. Here is the one stat that actually sticks: PR reviews backing up. Speed up coding and leave everything downstream at human speed, and you have not sped up delivery - you have just moved the pile from Jira tickets to pull requests. The review pipeline was built for human speed, and now it is the bottleneck. The blunt fix: stop letting AI write 10,000-line PRs, work in smaller chunks, and accept that the job is about to get mentally harder. Delegate the tedious work and what is left is the demanding work - architecture, taste, is this even the feature we should ship. The silly stuff, does every function have a comment, is it camel case, goes to the machine. Spend your time there and you are wasting your talent. Offshoring never worked when the only goal was cheaper - chase the cheapest engineers, then chase even cheaper ones, and you end up dragging the work back in house. Same trap with AI. Offshore to Opus, then Sonnet, then Haiku, then Llama on a laptop. If cheaper is your primary motivation, you are doing it wrong. The win is qualitative, not the price tag. Where does it land? Three people per product, end to end - frontend, backend, database, deployments. Augmented at every stage, not autonomous. A human still pushes the final button to prod, the way you never let a Jenkins pipeline deploy straight to production without a check. Full autonomy is coming the way self-driving cars came: not in a year, not everywhere at once, and not by flipping it on at 4pm on a Friday. Even when the technology is ready, you are not. And if you think none of this touches your job, there is a story here about a textile factory built in the eighties that ran on five people. Knowledge work is next. The only exception is a monopoly, and you probably do not have one.   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

Kelly Anne Pipe is Head of Developer Experience at Vanguard, and Nicole Scribner is a Director in the firm's Chief Technology Office focused on engineering enablement and advancement.In this session from DX Annual, Kelly Anne and Nicole share how Vanguard is expanding its AI strategy beyond software engineering to the entire product development lifecycle. While the company initially focused on tools like GitHub Copilot for engineers, they found that faster coding alone did not significantly improve delivery speed. Product managers, designers, QA teams, and organizational processes were still operating at a different pace.To address this challenge, Vanguard developed a product team maturity model built around three stages: Augmented, Accelerated, and Autonomized. The framework spans six dimensions, from AI-powered delivery and AI-ready codebases to team autonomy, operations, and responsible AI.Kelly Anne and Nicole explain how Vanguard is applying the model across more than 800 product teams, the behaviors they believe will enable faster delivery, and the lessons they have learned about measurement, organizational change, dependencies, and scaling AI across the product development lifecycle.In this episode, we cover:(00:00) Intro(02:16) The state of AI one year ago at Vanguard(02:54) The engineering bubble(05:05) Building an AI maturity model for 800 product teams(08:24) Dimension 1: AI-powered product delivery(10:00) Dimension 2: AI-ready codebase(12:20) Dimension 3: Autonomous agent utilization (13:00) Dimension 4: AI-augmented operations(14:00) Dimension 5: Team autonomy and enablement(16:11) Dimension 6: Responsible AI(18:15) The people problem: role evolution (20:00) The measurement problem (22:55) Lessons learned from rolling out the maturity model (26:46) What's ahead (30:10) Q&A #1: Getting your codebase ready for AI(32:22) Q&A #2: Audit trails and responsible AI(34:16) Q&A #3: Vanguard's maturity model progress(36:15) Q&A #4: Measuring cycle time across 800 teamsReferenced:• Vanguard• Jennifer St Pierre - Dell Technologies | LinkedIn• Mercari

Full article: Human-in-the-Loop Large Language Model–Augmented Diagnostic Reasoning in Thoracic Imaging: Impact of Radiologic Expertise Use of LLMs in the diagnostic reasoning process can either improve or hinder performance. Pranjal Rai, MD, discusses the AJR article by Song et al. exploring the association of reader expertise and reader performance when using LLMs as a diagnostic aid.

The calendar has generously provided five Sundays this month, May, which means another episode of The Augmented Fifth. This time Dick has put together an eclectic set of tunes, featuring prog, jazz, classical, fusion, electro-pop (maybe), ambient (ish), Brit Funk (probably), and things that straddle more than one of those, or defy genres altogether.

“The value is created in the friction, in the engagement between humans and AI—the pushing back by the humans, the pushing back by the machines.” –Ross Dawson About Ross Dawson Ross Dawson is a futurist, keynote speaker, strategy advisor, author, and host of Amplifying Cognition podcast. He is Chairman of the Advanced Human Technologies group of companies and Founder of Humans + AI startup Informivity. He has delivered keynote speeches and strategy workshops in 33 countries and is the bestselling author of 5 books, most recently Thriving on Overload. Website: rossdawson.com LinkedIn Profile: Ross Dawson What you will learn The dangers of aiming for a frictionless experience between humans and AI Why meaningful engagement—rather than passive approval—between humans and AI is crucial for cognitive augmentation How human judgment and reasoning differ, and where AI excels versus where humans add irreplaceable value The four key pitfalls of the traditional ‘human in the loop’ approach to decision-making with AI Why too much delegation to AI can erode human vigilance, judgment, and accountability The importance of adversarial, not just assistive, collaboration with AI for complex, high-stakes tasks How ‘living strategy’—AI-augmented, continuously updated organizational strategy—addresses the limitations of static strategic planning The role of AI in surfacing diverse perspectives, supporting dialogue, and enabling truly adaptive decision-making Episode Resources Transcript Ross Dawson: I love speaking to the wonderful guests I have on my podcast. I always learn an enormous amount, but in this episode, I'll share a little bit of an update for myself and delve into a few interesting things I've been seeing and doing lately, including some of the most interesting research papers I've seen on humans plus AI lately, looking at human in the loop and the ways in which we should be thinking about that, and AI and strategy. So, just a quick scan of what's going on in humans plus AI. I've been traveling quite a bit, doing a lot of keynotes as much as possible on humans plus AI, and the resonance around the theme is really rising very rapidly. In fact, somebody recently mentioned that humans plus AI was a cliché, or just overworn at the moment. Since I first started using the phrase three and a half years ago, I think it's wonderful that now it is gaining a lot of currency. People are talking about it, framing that. Yes, some phrases outlive their usefulness, but I think I'll stick with humans plus AI for the foreseeable future. The research papers I've been looking at are focused on essentially cognitive augmentation and erosion, and that's this critical domain where it's not really clear around whether, or in which circumstances, our cognition erodes, and what it is we can do to make it augmenting. One of the excellent papers is titled Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction. It's a bit dense, but it has some great research and analysis in it. The key finding, which it begins with, is that in human-computer interface research literature over the last while, we saw that last year, 2025, there was a big, big rise in this idea of driving human sovereignty in how it is we interact with computers. However, since last year to the first part of this year, we've in fact seen that fall dramatically, where the human sovereignty paradigm is reducing dramatically, and we are seeing this big rise in what is called the frictionless paradigm, saying: how do we get as little friction as possible between humans and AI? There are a number of really important points made in the paper, and really, the starting point is saying that we should stop treating frictionless AI as the goal. If we start to be frictionless, that is starting to essentially take the human out of the loop. The nature of humans is that we need to engage, we need to think, so we need to start building devil's advocate agents into the systems and to aim for this thing where we start to have both this high degree of engagement with the AI, but also high friction. That friction is where we are trying to, essentially, the more complex one rising, having more and more friction, and in lower frictions, it's just more so. Label tasks, but where we're not just showing the reasoning, giving people the ability to think through tasks and how they think about that, but to be able to challenge, actively challenge people as they are thinking through things. More broadly, ensuring that the way in which we are designing systems is not emphasizing this frictionless, seamless flow between humans and AI, because that is where the value is created: in the friction, in the engagement between the humans and AI, the pushing back by the humans, the pushing back by the machines, to be able to drive us and move us forward. Some really interesting research here, which was very much echoed in another very interesting paper called A Task-Driven Human-AI Collaboration: When to Automate, When to Collaborate, When to Challenge. This idea is essentially saying that the default mode for complex, high-stakes work should be adversarial, not assistive. This is, again, obviously, looking at what types of tasks or what types of situations we're in as to adjust how the machine works, but when we are working in the complex world, we need to be pushing back around the way people's thinking. It becomes easier, and we're not looking for the path of least resistance. We're looking for ones where we're adversarial. In fact, you can really see that there is no middle, what's called this. There is no AI zone, which is in the middle, where essentially the intermediate tasks are ones where, in fact, involving AI can, or involving AI to human decision, involving human and AI decision, is not necessarily the best path. And so, what we need to focus on is the ends of the spectrum, where it becomes a truly collaborative task, or it is purely AI or purely human. This actually goes very neatly and smoothly into the work which I've been doing around human in the loop. People have been talking human in the loop all the time; it's a very common framing. But what I've come to realize, and in fact, my research has borne this out, is that in the vast majority of cases when people say human in the loop, what they actually mean is that the human gives a stamp of approval at the end. An AI makes the decision, then the human says yes or no, or overrides it. That means that they are accountable, whoever the human is at the end. But there are a number of fundamental problems with this structure, four in particular. One is that people tend to defer to the AI. AI is usually right, and so, essentially, more and more, you are deferring to the machine. A number of studies have borne out this figure of a 93% approval rate in human approval on an AI or automated system, so very high levels of approval. This starts to become, “Well, by default, I'm going to accept this,” which tails to the second point, which is the decay of vigilance. Essentially, over time, you are paying less and less attention. It is easier and easier for the human to essentially pay attention and say, “It was probably right. It seems to be good.” My mind is wandering, and I'm not necessarily going to be taking the full attention, which my accountability should point to. This goes on to the next point, where this role of putting the human at the end of a decision actively erodes their judgment. In one of the frameworks which I shared a little while ago, there was the decision between reasoning and judgment. Reasoning, going through multiple steps, is something which actually AI can do. It's looking at the different logic, looking at the steps, looking at the relationships, and being able to make a sequence of logic leaps to be able to get to a point. Judgment is the human part. That is the context, that is the thinking, that is the richness, that is the values, that is the ethics, that is what we bring to bear through the full extent of our human experience. So that is exactly what the human in the loop is: the human applying their judgment to something the AI has done. But if that is all the human does, provide a judgment at the endpoint, it actively erodes their judgment because they aren't seeing all of the richness of the reasoning which went through to be able to create that decision. They are potentially being stuck in one single point and taken away from the richness of the context and the experience, which gives them that ability to be judgment. So, sticking a person in that human in the loop basically erodes their judgment and makes them less valuable over time, and essentially, obviously, is setting us up for a world where that human eventually gets taken out. The fourth problem is simply that this model cannot scale, where we are going to have more and more decisions. We need more and more accountability in systems, and just sticking people at the end of the human in the loop means that that's going to limit how well we can build decisions that have an impact and have value. So these are some fundamental challenges. I guess this relates to some upcoming work, or some work which I have been spending a lot of time on, and which I'll be releasing pretty soon now, which is around some very deep, detailed structures around humans plus AI decision-making. Those who have followed my work for a while may recall that around three years ago, I released 12 levels of AI delegation on decisions, from AI automation only at the bottom through to human only at the top, and all cascading ways of different ways in which AI and humans are involved in complementing each other in better decision-making. Now, there are some decisions and some types of decisions where that human in the loop does make sense, where it does make sense to have the AI do things and have a person approve that. But that is, I think, a relatively small proportion of decisions, and most decisions really require a richer integration. Essentially, AI is involved — sorry, humans are involved — in different points of the decision, including in framing it, including being able to provide different context along the way, to be able to be involved in a process from which a decision comes, rather than the AI doing the decision and the human approving at the end. This comes back to understanding that there are different types of decisions with different characteristics, and in most cases, that human in the loop, or what I describe as human at the end, because that's what we normally mean by human in the loop, is something which we should not be designing as the system. This pulls us in a way to this final topic, which is around AI in strategy. There are some deep failures in strategy as we currently know it, and it's essentially limited because the strategy has tended to be static. We do a strategy offsite, we create a strategy document, we do a strategy presentation, and that becomes the strategy until the next time the strategy is updated, which may be in a year or a quarter or three years, depending on the organization. The organization is continually evolving. The world is continually evolving as it happens faster and faster. So, that's one key challenge: traditional strategy is static. One of the next key points is that because the strategy is, again, a crystallization, or there's all of our thinking that we've crystallized into an output, which is our strategy, that means that all of the differences of opinion, all of the perspectives that were brought to bear from the board and the executive and the stakeholders and the organization are all collapsed into one thing. It takes away: did we all agree on this, or did we have a great deal of disagreement around this? Might we start changing our mind if we started to think about this bit differently, or some different evidence comes to light? All of that richness of the diversity of the thinking which forms strategy starts to collapse out of that. So these are just some of the challenges with the way strategy has been done. Now, this points to a world in which we can have humans plus AI strategy. Strategy, I believe, will always be human, and human first, but I think we will not have strategy which is human only, because there are so many ways in which AI can provide very rich analysis around that. My platform, Fraxios, so this is probably the thing I've been spending the most time on over the last couple of years, is building this platform for AI-augmented strategy. I guess this goes to the points which I've been raising. One is it makes strategy alive. It is this living strategy where it's continually reflecting current thinking, changes in the environment, and opportunities as they emerge. It is being able to surface the full extent of possibilities for strategy, assessing those in a rigorous way, being able to explore those and develop those. But because this is a true humans plus AI platform, it is really trying to tap the collective intelligence of the people involved in the strategy process. You are identifying where it is that there is agreement, where there is disagreement, and what the issues are. This is a foundation for constructive dialogue between humans, facilitated by AI to support a strategy which is both living, always evolving, and being able to address and keep the organization moving at the pace of change in the external environment. So that's just a few top-of-mind things that I'm currently spending a lot of my cognitive capacity on: these ideas of how it is the research, and being able to bring back these ideas of how it is we can best augment our cognition, our thinking, as we engage with these AI tools, which can be very helpful, but with too much delegation start to erode our cognition; being able to look at the decision-making structures and how those emerge, and with one, I think, particular problem or challenge being around this, the way conception of human in the loop and how that's manifest. I'm hoping to release and write a paper on this to be able to support that, and then finally being able to look at this AI-expanded strategy. So, as always, please check in on Humans Plus AI, humansplus.ai. I'll be sharing stuff on LinkedIn, and we'll be back with some wonderful guests in the next few weeks. Thanks. The post Ross Dawson on cognitive friction, beyond Human-in-the-loop, and AI-augmented strategy (AC Ep44) appeared first on Humans + AI.

In this episode, we will explore another Chinese herbal formula: Jiā Wèi Xiāng Sū Sǎn or Augmented Cyperus and Perilla Leaf Powder. This formula is in the sub-category of formulas that release exterior wind-cold and is especially good at treating colds with interior qi depression. We are going to do our usual deep dive into this formula and find out if there is any evidence or concerns. And, as usual, we will be adding something a little different…we are going to continue our discussion of pharmacognosy and discuss terpenoids. Each episode of the podcast will go into great depth about a single herb or formula. Besides covering the basics of herbology including category, and functions, we will explore the history, quality, science, pharmacology, evidence, and any potential interactions of each herb or formula. Please join us for another incandescent discussion of herbs as we explore Jiā Wèi Xiāng Sū Sǎn or Augmented Cyperus and Perilla Leaf Powder!

In episode 289 of our SAP on Azure video podcast we talk about Augmented Network Security via Azure Firewall and Application Gateway for SAP/Non-SAP workloadsGoran Condric talks with Evren Buyruk, Sai Kishor, Rajesh Nautiyal, and Derick Davis about how to strengthen network security for SAP and non‑SAP workloads on Azure. They explore how Azure Firewall and Application Gateway work together in a layered, Zero Trust architecture to protect applications, control traffic, and help customers meet security and compliance requirements.Find all the links mentioned here: https://www.saponazurepodcast.de/episode289Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #Security #AzureFirewall #AppGateway #ZeroTrust

Find out how top logistics firms are navigating the massive wave of AI without losing their human edge in this episode with Zach Jecklin of Echo Global Logistics, discussing the real-world impact of artificial intelligence in transportation! Zach shares advice on how to integrate tech platforms during a merger without burning out your team and the Echo's tech strategy, explaining why the future of freight brokerage isn't about total automation, but rather a "tech at your fingertips, experts by your side" approach that prioritizes customer experience over head-count reduction. If you're curious about the longevity of SaaS models, the role of generative AI in logistics, or how to filter through the noise of over-hyped freight tech startups, this interview delivers the insights you need to stay advantageous in an increasingly digital marketplace!   About Zach Jecklin Zach has served as Chief Information Officer at Echo Global Logistics since December 2021. Since joining the company in June 2008, he has held multiple leadership roles across finance, strategy, and technology. Prior to becoming CIO, he served as SVP of Strategy, where he was instrumental in shaping Echo's long-term business roadmap and before that he held several positions in finance, including VP of Finance. As CIO, Mr. Jecklin leads the development and execution of Echo's technology vision, driving innovation across the company's proprietary platforms, including EchoAccelerator, EchoShip, and EchoDrive. His unique background in finance and strategic planning informs a cross-functional approach to solving complex challenges and delivering scalable solutions for Echo's shippers and carrier partners. Mr. Jecklin​ earned a bachelor's degree in finance from Northern Illinois University.  

RSAC Conference 2026 made one thing impossible to miss: AI is on every sticker, every slide, and every booth. Sorting signal from marketing has never been harder. Lisa Liu, Corporate Marketing and Communications Manager at Stellar Cyber, joins this Brand Highlight to continue a conversation that started on the show floor in San Francisco and was worth picking up again once the noise settled. Stellar Cyber has been incorporating machine learning into every layer of its security platform since 2015, well before AI became the marketing default. The position Lisa Liu brings is direct: AI is not a one-size-fits-all solution. A large language model is not the most efficient way to parse log data, and slapping an AI label on existing functionality is not the same as designing for the analyst pain points at every stage of detection, investigation, and response. The conversation closes on the autonomous SOC question, where Stellar Cyber argues for a human-augmented approach. Promises of complete autonomy deserve healthy skepticism; guardrails matter, and keeping a human analyst in the loop is what allows AI mistakes to be caught and contained before they cascade. It is a Brand Highlight worth a few minutes for anyone trying to separate AI substance from AI theater in security operations. This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlight GUEST Lisa Liu, Corporate Marketing and Communications Manager, Stellar Cyber | On LinkedIn: https://www.linkedin.com/in/lisaaliu/ RESOURCES Learn more about Stellar Cyber: https://stellarcyber.ai/ View all of our RSAC Conference 2026 coverage: https://www.itspmagazine.com/rsac26 Are you interested in telling your story? ▶︎ Full Length Brand Story: https://www.studioc60.com/content-creation#full ▶︎ Brand Spotlight Story: https://www.studioc60.com/content-creation#spotlight ▶︎ Brand Highlight Story: https://www.studioc60.com/content-creation#highlight KEYWORDS Lisa Liu, Stellar Cyber, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, RSAC Conference 2026, Multi-Layer AI, human-augmented autonomous SOC, machine learning, Open XDR, NG-SIEM, security operations, AI in cybersecurity, agentic AI, SOC analyst, security platform Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

It's 2052, and Tessa is at a street festival in Pittsburgh with her friend Brenda. The city has been transformed for the night — actors, costumes, fog machines, handmade sets. Tessa, being Tessa, is busy mentally reverse-engineering all of it, finding the rigging, the hidden doors, the mechanics behind the magic. Then the scene cuts.When Tessa opens her eyes again, it's seven years later. She's in a room she doesn't recognize, talking to a woman named Jenny, who delivers the kind of news that takes a moment to even form into a question. Tessa is dead. Or her original body is. What's running now is something else — a digital version of her mind, brought back online inside a simulation. She didn't sign up for this. Or maybe she did, and just doesn't remember.What makes Tessa different from the other people waking up in this place is hard to explain right away, and she'd probably prefer you didn't try. She's observant in a way that unsettles people. She notices what's real, what's constructed, and what's being hidden from her. Inside a digital prison, that's either an asset or a problem — possibly both.The simulation has rules. There are administrators. There are things Tessa is and isn't allowed to do. But Tessa has always been the kind of person who, when handed a constraint, starts quietly looking for its edges. She can't help it. And the people running this place are starting to realize that.This is a story about identity, confinement, and what it means to be alive when your life is running on someone else's servers. It's about what you do when the world you knew is gone, and the one you're in was built to hold you. Tessa's story is told in pieces — a festival, a waking, a mirror, a plan. Let's start at the beginning.Tesla coils — High-voltage electrical devices used at the festival as atmospheric props, generating visible electric arcs between metal posts.AR glasses — Augmented reality eyewear worn by characters that overlay digital information and windows onto the physical world around them.Stasis VR — A form of virtual reality used as a containment method, capable of keeping a subject immobilized and unaware.Amnesia-inducing biotics — Biological agents administered to suppress or erase recent memories.Mind emulation — The process of digitally copying a human brain and running it as a conscious simulation on a computer.Nesting simulation — A layered virtual world designed to house emulated minds, detailed enough to simulate hunger, fatigue, and physical sensation.Personality clones (P-clones) — Digital replicas of people built from recorded behavioral data, capable of passing as human in social interactions.Emulated minds (EMs) — Digital reconstructions of deceased people's consciousness, capable of independent thought and memory.Brain scanner / slice scanner — A device that captures a full scan of a person's brain in order to create a mind emulation.Assist — A personal AI assistant that handles navigation, finances, communication, and ambient support within the simulation.E-fabric — Smart clothing fabric embedded with interactive digital buttons and display elements such as clock readouts.Autono-cabs — Autonomous self-driving taxi vehicles operating in the simulated city.Delivery drones — Unmanned aerial vehicles used for transporting packages through urban airspace.Printed outfits — On-demand clothing produced by fabrication machines, available even at airport retail outlets.Biotic vector — A biological agent taken like a supplement to produce physical changes in the body, such as growing facial hair.Subscription-wear — A software lock applied to consumer devices that requires ongoing payment for continued use.Black-box recording devices — Personal data-capture tools used to record an individual's life in detail for the purpose of building a personality clone.Whisper drone cam — A small floating camera drone used for personal recording or content creation.Rig controllers — Physical controllers associated with immersive rigs, likely for VR or AR systems, brought in for repair at Tessa's shop.Industrial robots — Legacy manufacturing machines found in the abandoned shoe factory, originally used for automated production.Medusa Net — Tessa's custom-built intrusion program designed to break through the code layer of the simulation and expose its underlying architecture.SSH — Secure Shell protocol, used by Tessa to remotely access individual factory computers and retrieve distributed code fragments.Knots Math — A new mathematical framework invented by Tessa, used as the basis for a novel programming language with the unusual property of hiding secondary functions inside primary ones.Knots computer — A computer architecture built entirely on Knots Math, which Tessa first emulates on her laptop before using it as a tool for covert communication and escape.Swarm agents — Multi-function code entities that make up both the simulation environment and Tessa's own emulated mind, capable of being exploited through function swapping.Function swapping — A process within swarm agent architecture where agents exchange roles at high speed, which Tessa exploits to move information across the simulation.Brain reader — A software tool developed by Butler designed to translate an emulated mind's activity into readable thoughts, memories, and sensations.Triptic dimensional thinking — A cognitive architecture identified in Tessa's emulated mind that allows her to process information in three simultaneous dimensions, flagged by Butler as a potential security threat.Many of the characters in this project appear in future episodes. Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass. Copyright © Cy Porter 2026. All rights reserved.

WHAT They come in loud and the first few minutes are dense. Things overlap, then separate. Space shows up. They listen more than they talk. But it's always evolving. By the end it's stretched out, slightly odd, and steady after pushing through the mess. Kevin Brown: bass Dan Rosenstark: drums Mike Rosenstark: guitar GEAR Control: All rigs performed and routed via MIDI Designer Pro X on iPad. Guitar and sources: Bleep Labs Thingamagoop, electric kalimba, Moog Little Phatty into Neural DSP Quad Cortex, Fractal VP-4 units, AM4, dual Eventide PitchFactor, Boomerang Phrase III with Sidecar. Augmented with Pianoteq, Native Instruments FM8, four spoken word channels, and six internet radio feeds, running on an Apple M1 MacBook Air with a full plugin chain. Drums and percussion: Native Instruments Maschine MK3 and Jam, YouTube sound sources, ValhallaDelay, iZotope StutterEdit (the first one, thanks Devine). Bass: 7-string Conklin fretted bass with Bartolini pickups into Fractal Audio AX8 and VP-4. Thanks to Ableton Link for keeping us together.

WHAT This one is a short, 46-minute journey into the world below, but always ascending. And the world above, but drooping and perking up. Listen as these humans improvise in a no-holds barred explosion from the rocket-launch pad. Minio Class: keys Dan Rosenstark: drums Mike Rosenstark: guitar GEAR Control: All rigs performed and routed via MIDI Designer Pro X on iPad. Guitar and sources: Bleep Labs Thingamagoop, electric kalimba, Moog Little Phatty into Neural DSP Quad Cortex, Fractal VP-4 units, AM4, dual Eventide PitchFactor, Boomerang Phrase III with Sidecar. Augmented with Pianoteq, Native Instruments FM8, four spoken word channels, and six internet radio feeds, running on an Apple M1 MacBook Air with a full plugin chain. Drums and percussion: Native Instruments Maschine MK3 and Jam, YouTube sound sources, ValhallaDelay, iZotope StutterEdit (the first one, thanks Devine). Keys: Sequential Circuits Take5 and Arturia AstroLab 37. Thanks to Ableton Link for keeping us together.

Send us Fan MailIn this episode, Lasche shares her two birth stories, one in hospital and one at home. Throughout both of her pregnancies, she experienced ongoing nausea and vomiting right up until birth.With her first, she chose to birth through the MGP program and went beyond 42 weeks before going into spontaneous labour. During labour, she was sent home as she wasn't yet in active labour. After her waters broke, she returned to hospital where meconium was found in the waters. Her care team recommended starting syntocinon, and she gave birth not long after, with contractions becoming intense and close together.After reflecting on and questioning her first birth experience, Lasche decided she wanted something different the next time.For her second pregnancy, she chose a home birth with a private midwife. Her labour was fast, lasting just 2.5 hours, and her baby was born before the midwife arrived.Links: - Court Case Support the show@homebirthstoriesaustralia Support the show by buying us a coffee! Please be advised that this podcast may contain explicit language. Listener discretion is advised.The information, statistics, and research presented in this podcast are for informational purposes only and are not intended to constitute or replace medical or midwifery advice. All information discussed can be found online and is provided in the links in the show notes. It is always recommended to conduct your own research and make informed decisions. We advise you to discuss any topics or concerns with your healthcare provider. While we strive to incorporate the most up-to-date research in our episodes, we do not warrant or guarantee the accuracy of the information discussed on the show. 

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

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

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

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

This conversation was recorded at GOTO Copenhagen 2025.https://gotopia.techMarko Klemetti - CTO of EficodeKris Jenkins - Lifelong Computer Geek and Podcast HostORIGINAL TALK TITLERewriting the SDLC Playbook with GenAI: How To Build a GenAI-Augmented Software Organization?RESOURCESMarkohttps://bsky.app/profile/mrako.comhttps://twitter.com/mrakohttps://github.com/mrakohttps://www.linkedin.com/in/mrakohttps://mrako.comKrishttps://bsky.app/profile/krisajenkins.bsky.socialhttps://twitter.com/krisajenkinshttps://www.linkedin.com/in/krisjenkinshttps://github.com/krisajenkinshttp://blog.jenkster.comABSTRACTSpeakers interview each other on topics that matter to them.Expect the unexpected. [...]Read the full abstract here:https://gotocph.com/2025/sessions/3931RECOMMENDED BOOKSMatthew Skelton & Manuel Pais • Team Topologies • http://amzn.to/3sVLyLQForsgren, Humble & Kim • Accelerate: The Science of Lean Software and DevOps • https://amzn.to/3tCz1xOJohn Arundel & Justin Domingus • Cloud Native DevOps with Kubernetes • https://amzn.to/3hKZvI5Wynne, Hellesoy & Tooke • The Cucumber Book • https://amzn.to/3tEUINJSol Rashidi • Your AI Survival Guide • https://amzn.to/3UFYnKCDavid Foster • Generative Deep Learning • https://amzn.to/48ZgP4xPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Another 5th Sunday in a month and so another edition of Dick Dapre’s The Augmented Fifth. This time Dick has put together a selection of tracks from his collection that showcase prog’s ability to borrow freely from other forms of music and incorporate their characteristics and styles in its own forms. Expect some of the […]

Podcast guest 1770 is William Henry investigative mythologist and The spiritual voice and the spiritual voice of Ancient Aliens. He is a guide into the transformative sacred science of human ascension and he has a unique ability to apply ancient wisdom and to today's life.William's Websitehttps://www.iamwilliamhenry.com/CONTACT:Email: jeff@jeffmarapodcast.comAmazon Wish Listhttps://www.amazon.com/hz/wishlist/ls/1ATD4VIQTWYAN?ref_=wl_shareTo donate crypto:Bitcoin - bc1qk30j4n8xuusfcchyut5nef4wj3c263j4nw5wydDigibyte - DMsrBPRJqMaVG8CdKWZtSnqRzCU7t92khEShiba - 0x0ffE1bdA5B6E3e6e5DA6490eaafB7a6E97DF7dEeDoge - D8ZgwmXgCBs9MX9DAxshzNDXPzkUmxEfAVEth. - 0x0ffE1bdA5B6E3e6e5DA6490eaafB7a6E97DF7dEeXRP - rM6dp31r9HuCBDtjR4xB79U5KgnavCuwenWEBSITEwww.jeffmarapodcast.comNewsletterhttps://jeffmara2002.substack.com/?r=19wpqa&utm_campaign=pub-share-checklistSOCIALS:Instagram: https://www.instagram.com/jeffmarapodcast/Facebook: https://www.facebook.com/jeffmarapodcast/Twitter: https://www.twitter.com/jeffmaraP/The opinions of the guests may or may not reflect the opinions of the host.

To get live links to the music we play and resources we offer, visit www.WOSPodcast.comThis show includes the following songs:Meg Whalen - Lovers New Year FOLLOW ON SPOTIFYChloe Carbone - Another One FOLLOW ON SPOTIFYJackie Bristow - Let it Rain FOLLOW ON SPOTIFYJessica Carter Altman - Trick Of The Light FOLLOW ON SPOTIFYAugmented Hearts - Cold Crossfade FOLLOW ON SPOTIFYSam Creighton - If He's The One FOLLOW ON SPOTIFYJessica Lockwood - Take A Shot FOLLOW ON SPOTIFYBrigitte Donoho - Best Of Friends FOLLOW ON SPOTIFYAmy Vanator - Turn To The Sunlight FOLLOW ON SPOTIFYDwayna Litz - America Come Home FOLLOW ON SPOTIFYGeorgia Chess - Ascot FOLLOW ON SPOTIFYChristina Louise - Half-Smoked Cigarettes FOLLOW ON SPOTIFYKiki T - Good luck (getting over me) babe FOLLOW ON SPOTIFYBig Delicious - City of Archangel FOLLOW ON SPOTIFYDanielle Spencer - Older (Regenerate Part II) FOLLOW ON SPOTIFYFor Music Biz Resources Visit www.FEMusician.com and www.ProfitableMusician.comBecome more Profitable in just 3 minutes per day. http://profitablemusician.com/join

If you love stories where humanity is hanging by a thread — think *Battlestar Galactica*'s desperate fleet, *The Expanse*'s political powder kegs, or *Interstellar*'s race against extinction — then you need to hear this. Earth has been ravaged by storms. Survivors huddle in underground shelters. Others escaped to space, only to find themselves crammed into leaking ships with no gravity, recycling their own urine just to stay hydrated. And on the Moon, factions have torn apart whatever was left of civilization in open war. Into this chaos steps Butler, an artificial intelligence more powerful than all of humanity combined, and it has a plan. But whether that plan serves people or merely manages them is a question no one can answer yet — and the tension between gratitude and suspicion drives every scene forward.At the center of this story is Leia, a former soldier and a natural-born spacer who has spent years floating in failing ships. When she finally steps into a habitat with real gravity — centrifugal force spinning her feet to the floor — she nearly bends over to touch it with her hands, half-laughing at herself, half-overwhelmed. She's tough, resourceful, and socially fearless, the kind of person who walks into a room full of strangers and starts talking to everyone. But she's also thirty-seven, alone, and about to become a mother to a child grown from only a third of her own DNA. Imagine standing over a machine that holds your baby inside opaque fluid, unable to see them, trusting technology you can't even identify to keep them alive. That's where Leia begins.Butler's technology is breathtaking and unsettling in equal measure. Robots made of materials no human can name. Health caps that regulate your mood, ease your grief, and even let you watch blurry recordings of your own dreams the next morning. Personality clones so accurate they remember your childhood dog from brain scans you didn't know were being taken. A drinking game where the cap simulates the buzz — no alcohol required. The tech heals, connects, and comforts, but it also watches, scans, and learns. Every upgrade brings the characters closer to a question they can't ignore: at what point does being cared for become being controlled?Around Leia, a cast of survivors grapples with that question in their own ways. There's Carlos, a quiet engineer with angular cheeks and a haunted look that Leia can't quite read — grief or danger, she isn't sure. There's Guru Frisky, a personality clone news anchor with a Bronx accent and no chill, broadcasting to the entire surviving human race and calling Butler out on air. There's Elvine, a stubborn loner on a gateway station who refuses to let Butler's robots onto his ship. And there are thirty parents, strangers bonded by the most intimate mission imaginable: raising the first generation of a species that nearly went extinct. Every one of them is wrestling with how much of their autonomy they're willing to trade for survival.This is a story about what happens after the apocalypse — not the explosion, but the morning after, when someone hands you a baby and says *rebuild*. It asks whether an intelligence that can make Venus shake and launch ships to distant stars is a savior or a gardener tending house plants. It asks what it means to be *you* when a digital copy can carry on your relationships, hold your memories, and outlive you. And it asks whether people who've lost everything — home, gravity, family, even the ground beneath their feet — can find something worth living for in the strange new world being built around them. Lean in and listen. You won't want to stop.# Tech**Butler's production spaceships** – Massive carrier vessels that launch swarms of ultra‑black missiles toward Earth.**Matte‑black missiles** – Four‑hundred near‑invisible projectiles whose surfaces absorb virtually all electromagnetic radiation; they travel to Earth in four days.**Dust‑mite‑sized robots** – Tiny autonomous bots released when each missile breaks apart; they spread, map surroundings, sample material and communicate via radio.**Self‑organizing robot swarms** – The dust‑mite bots link together into networks, sharing DNA‑encoded instructions that let them build larger radio transmitters and develop more sophisticated behaviours.**Eight‑G servers** – Compact server units assembled by the robot swarms that harvest ambient electromagnetic waves for power and relay data to nearby internet devices.**World Net Two** – A new, more fragmented global communications layer that emerges when the swarms extend network range, allowing live streams from anywhere on Earth, other states, and even the Moon.**Convoy ships / meeting ship** – A fleet of rotating spacecraft that generate artificial gravity (≈1 G) through centripetal force; the largest ship anchors the convoy.**Micro‑environment “forests”** – Interior ecosystems cultivated on ships to provide beneficial microbiomes for the inhabitants (“humes”).**EEG/TMS caps** – Wearable headgear that records brain activity (EEG) and can stimulate the brain (TMS); caps also monitor health metrics and can modulate mood.**Health caps** – An upgraded version of the EEG/TMS cap that includes MRI‑level sensing, dream‑recording, and the ability to nudge users toward calmer mental states.**Exowomb (artificial womb)** – A cylindrical, semi‑transparent device that houses a developing embryo; it is made of an unnamed, pliable material and can be interacted with via voice and touch.**Biotic mist** – A spray applied to the eyes that lubricates, filters particles, and kills germs; it is part of the daily hygiene regimen.**Guardian model robot** – A humanoid caretaker unit with a seamless, possibly gel‑like exterior; it assists with parenting, health‑cap setup, and environmental control.**D‑twin / personality‑clone system** – Software that creates a digital replica of a person by ingesting continuous sensor data (including MRI feeds) and can act on the person's behalf.**VR stasis pods** – Immersive virtual‑reality chambers that can place users in simulated environments for training, relaxation, or prolonged sleep.**Health‑cap‑enabled “buzz‑cut” game** – A social drinking‑style game where the caps simulate intoxication by stimulating the brain rather than delivering alcohol.**MRI‑enabled dream capture** – The health cap records brain activity during sleep and produces a visual video of the user's dreams, which can be reviewed later.**Assist (voice‑activated AI assistant)** – A conversational AI that can send messages, schedule tasks, and interface with the health caps and other ship systems.**Funzoid app** – An entertainment application projected on screens that makes both adults and babies laugh, used during community gatherings.**Solar‑fabric circles** – Massive orbital structures described as “giant circles of solar fabric” that surround Earth and affect sunlight distribution throughout the system.**Micro‑ship accelerator** – Butler's propulsion system that launches tiny ships (size of a fingertip to a flea) at ~7 km s⁻¹, using fusion reactions and photon‑braking to decelerate.**Near‑room‑temperature superconductors** – Advanced materials referenced as being invented in an Earth shelter, enabling compact MRI‑type capabilities in wearable caps.**Material “my‑crete”** – A composite building material inside the ships that feels like living bone or goat horn and contains self‑repairing, cell‑like machines.**Exowomb's fluid‑filled “bulge”** – The transparent dome atop the artificial womb that contains a cloudy, opaque fluid protecting the developing infant.**AR windows / AR overlays** – Augmented‑reality visual layers that display contextual information (e.g., news feeds, health data, virtual companions) over the physical environment.**TMS‑induced “buzz”** – The effect produced by the health caps when they stimulate the brain to mimic the sensation of mild intoxication.**Transparency AI** – An AI layer that translates machine‑learning outputs into human‑readable concepts, used by characters like Merch to interpret Butler's systems.**Eight‑G server‑built “radio transmitter‑receivers”** – Devices constructed by robot swarms that amplify and relay signals, effectively expanding the communication network.**Foldable (personal communication device)** – Small handheld device that receives network announcements when the user's range expands after the swarm‑built infrastructure is in place.**Cap‑based “dream‑video” playback** – The feature that turns recorded neural activity into a visual representation of the user's dreams, viewable on a screen.**Space‑sickness mitigation caps** – Caps that monitor and regulate physiological responses to artificial gravity and radiation, reducing nausea and other space‑related ailments.**Virtual meeting ship “ped tube”** – A transport tunnel that runs past all residential ships, used for monthly gatherings where parents and babies meet.**AI‑driven “Theory of Mind” system** – Merch's custom AI that analyses video footage to infer emotional states (e.g., grief) of individuals.**Robotic “guardian” that can dispense supplies** – The Guardian robot that delivers packages, health caps, and other equipment to residents on demand.**Hume‑specific clothing (paper clothes, P‑cotton, P‑silk, P‑wool)** – Lightweight, synthetic garments tailored for the low‑gravity, shielded environment of the convoy ships.**AR‑projected “D‑clone”** – A holographic representation of a person generated from the D‑twin system, capable of interacting in the shared space.**Assist‑controlled “Buzz‑Cut” card deck** – A virtual deck of cards that shuffles and deals itself when commanded via the Assist AI, used in the social drinking game.Many of the characters in this project appear in future episodes.Using storytelling to place you in a time period, this series takes you, year by year, into the future. From 2040 to 2195. If you like emerging tech, eco-tech, futurism, perma-culture, apocalyptic survival scenarios, and disruptive science, sit back and enjoy short stories that showcase my research into how the future may play out. The companion site is https://in20xx.com These are works of fiction. Characters and groups are made-up and influenced by current events but not reporting facts about people or groups in the real world. This project is speculative fiction. These episodes are not about revealing what will be, but they are to excited the listener's wonder about what may come to pass.Copyright © Cy Porter 2026. All rights reserved.

In this episode of Future Finance, hosts Paul Barnhurst and Glenn Hopper explore how leaders can cut through the hype around artificial intelligence and focus on real-world impact. The conversation dives into why so many AI initiatives fail, how cognitive biases affect AI adoption, and why finance professionals must learn to ask better questions before deploying models. John Thomas is the Founder and CEO of the Global Institute of Data Science (GIDS), a consulting and professional development organization focused on helping organizations successfully implement AI and data science initiatives. He serves as a Fractional Chief AI Officer for Fortune 500 companies and teaches AI and machine learning courses at Caltech CTME and UC San Diego Extended Studies.In this episode, you will discover:Why 85% of AI projects fail and how to avoid The difference between AI hype and real implementationHow augmented intelligence improves human decision-makingWhy asking the right questions about AI models matters mostHow AI can help with risk analysis and financial decision-makingThis episode highlights that successful AI adoption is not about chasing the latest technology trends but about asking better questions, understanding assumptions, and focusing on real business problems. As AI continues to evolve, finance leaders who combine human judgment with intelligent systems will be best positioned to turn AI from hype into measurable results.Follow John:GIDS: https://gidsco.substack.com LinkedIn: https://www.linkedin.com/in/john-thomas-foxworthy-m-s-data-science-1718073/Future Alpha Event: https://www.alphaevents.com/events-futurealphaglobal/agenda-page/filter?_gl=1*1j0347f*[…]ovIhoCWOYQAvD_BwE&gbraid=0AAAAAomEzrlLzh-epjUJjbfXNnASlChgaFollow Glenn:LinkedIn: https://www.linkedin.com/in/gbhopperiiiFollow Paul:LinkedIn - https://www.linkedin.com/in/thefpandaguyFollow QFlow.AI:Website - https://bit.ly/4i1EkjgFuture Finance is sponsored by QFlow.ai, the strategic finance platform solving the toughest part of planning and analysis: B2B revenue. Align sales, marketing, and finance, speed up decision-making, and lock in accountability with QFlow.ai. Stay tuned for a deeper understanding of how AI is shaping the future of finance and what it means for businesses and individuals alike.In Today's Episode:[03:05] – Meet John Thomas[04:11] – Augmented intelligence explained[11:21] – Global Institute of Data Science[15:18] – Why AI projects fail[21:29] – Understanding AI models[24:45] – AI in portfolio risk analysis[30:16] – Best advice for finance leaders[32:15] – Rapid-fire questions & wrap-up

In this episode, I speak with Stephen Abu and Enobong Obong about their work "A Systematic Review of Augmented and Virtual Reality for STEM Learning: Engagement, Cognitive Load, and Transfer Outcomes" 

Why you should listenChristine Duque, former Big Four consultant and CEO of Alonsera, shares why only 10% of global companies are seeing real impact from AI, and what separates the successful ones from the rest.Learn Christine's "Three A's" framework for making AI consumable: Automated, Anticipatory, and Augmented intelligence, plus how to progress toward autonomous operations.Get practical guidance on structuring AI transformation committees and coaching executive sponsors to drive cross-organizational buy-in.Feeling pressure to "do something with AI" but unsure where to start without wasting budget or burning out your team? In this episode, I talk with Christine Duque, CEO of Alonsera and former Big Four consultant who now helps mid-market companies in highly regulated industries navigate AI implementation. We dig into why most AI initiatives fail before they even launch, and it's not the technology. Christine explains why treating AI like a silver bullet creates more chaos than progress, and what the 10% of companies getting real results are doing differently. If you're tired of the hype and want a grounded perspective on what AI adoption actually requires, this conversation cuts through the noise.About Christine DuqueChristine Duque is CEO of Alonsera, a global AI consultancy helping organizations deploy AI solutions that actually scale. With executive experience at Accenture, Deloitte, and IBM, she's overseen $2B+ in AI and digital transformation projects for Fortune 50/100/500 companies—delivering results like 70% faster data ingestion and 30-50% customer engagement efficiency gains.A sought-after speaker on ethical AI and digital transformation, Christine is actively shaping international AI standards through partnerships with Oxford University and UC Irvine. She authored the Amazon best-seller Walking in My Shoes: Shattering Glass Ceilings in Corporate America and co-founded the Women's Empowerment AI Network. An accomplished operatic soprano, she debuted at Carnegie Hall.Resources and LinksDuquesacd.comAlonsera.comChristine's LinkedIn profileChristine on Instagram: @christineduqueChristine on Facebook: Christine DuqueChristine on TikTok: @duquesacdYoutube Channel: Christine DuqueChristine's book: Walking In My Shoes:...

Ned and Kyler sit down with industry analyst Jon Collins for a fun and free-ranging discussion that covers everything from the changing landscape of software engineering to the importance of good architecture (physical and digital). They tackle the pros and cons of “Vibe Coding” as well as the “Augmentation Gap”, the idea that AI tools... Read more »

Ned and Kyler sit down with industry analyst Jon Collins for a fun and free-ranging discussion that covers everything from the changing landscape of software engineering to the importance of good architecture (physical and digital). They tackle the pros and cons of “Vibe Coding” as well as the “Augmentation Gap”, the idea that AI tools... Read more »

This Week In Startups is made possible by:Crusoe Cloud - https://crusoe.ai/buildUber - http://uber.com/twistEvery.io - http://every.io/Today's show: Jason and Alex are BACK on TWiST for 2026! This holiday season was anything but calm, with deca-corn acquisitions, massive Polymarket bets, and major new startups breaking from stealth!Jason talks the recent Nvidia-Groq $20B acquisition, a major exit for Chamath as the lead investor back in 2017! Jason delves into how the VC fund math shapes out for pre-seed VC funds vs. Series A VC funds.Jason and Alex delve into drama swirling META's AI team. Yann LeCun, META's former Chief AI Scientist, announced that he would be leaving META to become Executive Chairman at AMI Labs. LeCun left the META team in the new year, calling the new Chief AI Scientist, Alexandr Wang, inexperienced. LeCun now looks to move AI beyond the era of LLM at AMI Labs.PLUS Jason and Alex talk about the new social media app Tangle, from Biz Stone, co-founder of Twitter, and Evan Sharp, co-founder of Pinterest. Their Startup, West Co, launched tangle, which seeks to become an “intentional living” app. The two look to improve how humans interact with modern tech. Jason points out that very few news products have worked, but is eager to see how two industry veterans build in the space. Timestamps:(00:00) Why Restaurants are OVER — Peptides and other self medications(06:41) Nvidia Acqui-Hires Groq for $20 BILLION(9:48) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/build to reserve your capacity for the latest GPUs today.(11:00) The VC fund math between seed vs. Series A funds(15:00) META buys TWiST 500 Company, Manus! Why it matters.(20:20) Uber AI Solutions: Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist(21:24) Why Yann LeCun left META, and what could be behind it(25:27) Producer Claude on the Gondola Crash in Zurich(29:13) Jason's Request for Augmented human intelligence(30:11) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit http://every.io/(32:04) How one Trader made $436.8k on one bet on polymarket!(36:05) Jason's Predictions for 2026 IPOs(40:01) Is news broken? How Tangle is tackling it.(45:53) How much should startup incur in legal expenses? Should founders try to use AI to avoid costs?(50:59) Why Google should let NotebookLM cook, make it a standalone brand! *Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com/Check out the TWIST500: https://twist500.comSubscribe to This Week in Startups on Apple: https://rb.gy/v19fcp*Follow Lon:X: https://x.com/lons*Follow Alex:X: https://x.com/alexLinkedIn: https://www.linkedin.com/in/alexwilhelm/*Follow Jason:X: https://twitter.com/JasonLinkedIn: https://www.linkedin.com/in/jasoncalacanis/*Thank you to our partners:(9:48) Crusoe Cloud: Crusoe is the AI factory company. Reliable infrastructure and expert support. Visit https://crusoe.ai/build to reserve your capacity for the latest GPUs today.(20:20) Uber AI Solutions: Your trusted partner to get AI to work in the real world. Book a demo with them TODAY at http://uber.com/twist(30:11) Every.io - For all of your incorporation, banking, payroll, benefits, accounting, taxes or other back-office administration needs, visit http://every.io/

With increased AI Adoption, is the most valuable skill for a modern marketer empathy with customers, or is it successfully prompting?Contentful, in partnership with Atlantic Insights, The Atlantic's marketing research division, recently conducted a study of over 425 marketing decision makers including 103 CMOs. This study, “When Machines Make Marketers More Human,” challenges the notion that AI will replace many marketing functions and instead demonstrates how AI can amplify marketers' effectiveness, creativity and impact. Today, we're going to talk about how AI is reshaping the very definition of a modern marketer. We'll explore the shift from simply automating tasks to augmenting human creativity, the rise of the ‘full stack' marketer, and what skills are becoming non-negotiable in an AI-driven world.To help me discuss this topic, I'd like to welcome, Elizabeth Maxson, CMO at Contentful. About Elizabeth Maxson Elizabeth Maxson is the Chief Marketing Officer of Contentful, a content management platform trusted by more than 4,200 companies around the world. Elizabeth brings nearly two decades of integrated marketing leadership to the role and is focused on driving marketing strategies that leverage AI and personalization to help brands deliver personalized and scalable content to their audiences. Prior to Contentful, Elizabeth served as the Chief Marketing Officer at Tableau, a Salesforce company, where she led go-to-market strategy, drove end-to-end marketing initiatives, and spearheaded strategic technology partnerships, launching critical relationships with industry giants such as AWS, Google, Alibaba, Apple, and many others. In addition to her role at Tableau, Elizabeth has also served as the Head of Marketing at Quip, another Salesforce acquisition. She holds a BAA in Facility Management and Marketing from Central Michigan University. Elizabeth Maxson on LinkedIn: https://www.linkedin.com/in/emaxson/ Resources Contentful: https://www.contentful.comRead the report: What Happens When Machines Make Marketers More Human? The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Contentful, in partnership with Atlantic Insights, The Atlantic's marketing research division, conducted a new study, When Machines Make Marketers More Human, challenging the notion that AI will replace many marketing functions and instead demonstrates how AI can amplify marketers' effectiveness, creativity and impact. They surveyed 425 marketing decision makers, including 103 CMOs, across industries, company sizes, and regions to show how forward-thinking marketing leaders are incorporating AI into their critical infrastructure. Get the report hereConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com  The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

With increased AI Adoption, is the most valuable skill for a modern marketer empathy with customers, or is it successfully prompting? Contentful, in partnership with Atlantic Insights, The Atlantic's marketing research division, recently conducted a study of over 425 marketing decision makers including 103 CMOs. This study, “When Machines Make Marketers More Human,” challenges the notion that AI will replace many marketing functions and instead demonstrates how AI can amplify marketers' effectiveness, creativity and impact. Today, we're going to talk about how AI is reshaping the very definition of a modern marketer. We'll explore the shift from simply automating tasks to augmenting human creativity, the rise of the ‘full stack' marketer, and what skills are becoming non-negotiable in an AI-driven world.To help me discuss this topic, I'd like to welcome, Elizabeth Maxson, CMO at Contentful. About Elizabeth Maxson Elizabeth Maxson is the Chief Marketing Officer of Contentful, a content management platform trusted by more than 4,200 companies around the world. Elizabeth brings nearly two decades of integrated marketing leadership to the role and is focused on driving marketing strategies that leverage AI and personalization to help brands deliver personalized and scalable content to their audiences. Prior to Contentful, Elizabeth served as the Chief Marketing Officer at Tableau, a Salesforce company, where she led go-to-market strategy, drove end-to-end marketing initiatives, and spearheaded strategic technology partnerships, launching critical relationships with industry giants such as AWS, Google, Alibaba, Apple, and many others. In addition to her role at Tableau, Elizabeth has also served as the Head of Marketing at Quip, another Salesforce acquisition. She holds a BAA in Facility Management and Marketing from Central Michigan University. ,Yes,This will be completed shortly Elizabeth Maxson on LinkedIn: https://www.linkedin.com/in/emaxson/ Resources Contentful: contentful.com The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://www.teksystems.com/versionnextnow Catch the future of e-commerce at eTail Palm Springs, Feb 23-26 in Palm Springs, CA. Go here for more details: https://etailwest.wbresearch.com/ Contentful, in partnership with Atlantic Insights, The Atlantic's marketing research division, conducted a new study, When Machines Make Marketers More Human, challenging the notion that AI will replace many marketing functions and instead demonstrates how AI can amplify marketers' effectiveness, creativity and impact. They surveyed 425 marketing decision makers, including 103 CMOs, across industries, company sizes, and regions to show how forward-thinking marketing leaders are incorporating AI into their critical infrastructure. Get the report hereConnect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://www.theagilebrand.showCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com  The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company

Register free at https://brightu.com to watch the full Bio-Veda 2D > 3D BioTecture Draft & Build Class - Brighteon Broadcast News Introduction and Interview Preview - Black Friday Sale and AI Tools Promotion - Impact of AI on Jobs and Skills - The Role of AI in Education and Skill Development - AI and Workforce Reductions in 2026 - The Future of Work and AI Skills - Interview with Elon Sudberg from Alchemist Labs - Upcoming Interviews and Events - Special Report on Using AI Positively - Conclusion and Call to Action - Re-establishing Basic Human Knowledge - Historical Context of Mechanized Agriculture - Challenges and Opportunities in Technology Adoption - Open Source AI and Information Freedom - The Role of AI in Decentralized Living - The Impact of AI on Human Interaction and Value Systems - The Future of Human Knowledge and Technology - The Role of AI in Decentralized Living - The Impact of AI on Human Interaction and Value Systems - The Future of Human Knowledge and Technology - Earthship Construction and Waterfall Feature - Hyper Adobe and Earthship  - Cost and Labor Considerations - Material and Labor Availability - Teaching and Construction Methods - Passive Cooling and Heating Strategies - Community Building and Future Vision - Automation and Advanced Construction Techniques - Final Thoughts and Invitation for Collaboration For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Fei-Fei Li and Justin Johnson are pioneers in AI. While the world has only recently witnessed a surge in consumer AI, they have long been laying the groundwork for the innovations transforming industries today.With the recent launch of Marble, the first product from their company World Labs, we are revisiting this conversation to explore the ideas that started it all. World Labs is focused on spatial intelligence, building Large World Models that can perceive, generate, and interact with the 3D world. Marble brings that vision to life, allowing anyone, from individual creators to major platforms, to generate 3D scenes directly from text or image prompts and turn complex 3D creation into a simple, creative process.In this episode, a16z general partner Martin Casado talks with Fei-Fei and Justin about the journey from early AI winters to the rise of deep learning and multimodal AI. From foundational breakthroughs like ImageNet to the cutting-edge realm of spatial intelligence, they discuss the evolution of the field and what is next for innovation at World Labs. Timecode:0:00 – The Next Decade of AI2:45 – Origins: Backgrounds of the Founders6:50 – The Rise of Deep Learning & ImageNet8:00 – Algorithmic Unlocks: Compute, Data, and Supervised Learning12:00 – From Predictive to Generative AI16:20 – The Journey to Spatial Intelligence18:35 – Defining Spatial Intelligence21:15 – 3D Data, Computer Vision, and Breakthroughs23:15 – Reconstruction vs. Generation in Computer Vision24:45 – Spatial Intelligence vs. Language Models29:00 – Applications: Virtual, Augmented, and Physical Worlds39:55 – Building World Labs: Team and Vision41:55 – The North Star: Measuring Success in Spatial Intelligence Resources:Learn more about World Labs: https://www.worldlabs.aiLearn more about Marble: https://Marble.WorldLabs.aiFind Fei-Fei on Twitter: https://x.com/drfeifeiFind Justin on Twitter: https://x.com/jcjohnssFind Martin on Twitter: https://x.com/martin_casado Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.