Podcasts about autonomous

Has enterprise AI finally reached the point where impressive demonstrations are no longer enough? In this episode, I speak with Murali Swaminathan, CTO at Freshworks, about the growing pressure on AI investments to deliver measurable business value. Murali has over 30 years of enterprise software experience, including roles at ServiceNow and CA, and now leads engineering and architecture teams at Freshworks. Murali believes the AI hype cycle is being replaced by an accountability cycle. Buyers want to understand reliability, governance, total cost of ownership, traceability, and the return generated by every deployment. They also want the ability to audit decisions, override outcomes, and use feedback to improve performance. Productivity alone provides an incomplete measure. Within service operations, companies can examine time to resolution, the volume of repetitive work automated, the number of issues completed without human intervention, and the quality of the employee's experience. Murali describes the difference between service-level agreements and experience-level agreements. Resolving a ticket within two minutes means very little if the employee's problem remains. The better question is whether AI completed the workflow and restored the person's ability to work. We also discuss why mid-market and agile enterprises provide a demanding test for AI. These companies have complex requirements but cannot absorb lengthy implementation programs, unclear pricing, or failed experiments. Murali recommends beginning with a limited process, measuring the result, establishing whether it can be repeated, and expanding only after it has proved reliable. Architecture plays an important role. Murali argues that ease of use begins beneath the interface. Configuration-led platforms can be upgraded as new capabilities arrive, while heavily customized systems can leave companies trapped on older releases. Autonomous service operations do not require removing people from every process. Murali uses the example of a printer incident. AI can read the ticket, classify the problem, route it to IT or facilities, and apply an automated fix when a trusted process exists. People retain responsibility for unusual, uncertain, or higher-risk decisions. Scaling this model requires cloud infrastructure that respects regional data residency, privacy, encryption, routing, and audit requirements. AI requests and diagnostic logs must remain within the correct geographic and regulatory boundaries. The conversation concludes with engineering skills. AI coding tools can generate software quickly, but engineers must understand architecture, usability, testing, and customer requirements. Companies also need rules determining which code can be reviewed by AI and which changes require human approval. Is your company measuring whether AI genuinely improves service operations, or is it counting deployments and calling that progress? Listen to the episode and share your thoughts with me.

Are you tired of drowning in back-office busywork and wondering how AI can actually improve your freight operations without overcomplicating your daily workflows? Today, let's discuss the reality of freight automation with my guest, Alex Reed of Overroute, as we talk about how true AI in transportation is built not to replace but to empower people!  We get real about utilizing robotic process automation to 10x your output, strip the emotion out of your operational decisions, and meet your customers exactly where they are.  Whether you are a small brokerage or a massive enterprise, leveraging the right freight tech and supply chain automation tools is about simplifying the mundane so your team can focus on what actually drives revenue in this highly competitive trucking market.  If you want to stop over-engineering your business and start implementing tech that actually works, tune in to this episode!   About Alex Reed Alex Reed is the founding CEO of Overroute. He has spent his career commercializing technical software and optimization platforms in complex industrial environments. Previously, Alex was the founding CEO of Fluence Analytics, a Tulane spinout he led from lab-stage IP through global commercialization and acquisition by Yokogawa Electric Corporation in 2023. Earlier, he was Associate Director for Operations and Strategy at Tulane-PolyRMC. He was named to Forbes 30 Under 30 (2016), serves as Entrepreneur in Residence at the Lepage Center at Tulane University, and advises founders and investors across deep tech and AI, both personally and through Founder Sherpas.   Connect with Alex Website: https://www.overroute.com/  LinkedIn: https://www.linkedin.com/company/overroute/  

In April, Jason Kikta and Dmitri Alperovitch landed on a structural conclusion: AI had collapsed patch-to-exploit time to under an hour, 1-10-60 was no longer fast enough, and the only answer was prevention. Patch by default, limit blast radius, stop playing a detection-and-response game built for human-speed attacks. This episode picks up where that conversation ended. What's changed since April, and can detection-first models survive the pace of change at all? Kat Traxler is here to stress test that question from the inside.Guests: Jason Kikta, Automox CTO, Dmitri Alperovitch, Co-Founder and Chairman, Silverado Policy AcceleratorKat Traxler, Principal Security Researcher, Vectra AIHost: Landon Miles

What does an AI agent need to understand about your business before you allow it to make decisions and take action without waiting for human approval? In this episode of Tech Talks Daily, I speak with Kash Mehdi, Field CTO at Reltio, about the move from analytical AI that supports decisions to agentic AI that can execute them. Kash argues that leaders should begin treating AI agents as a workforce rather than another collection of software tools. A digital workforce needs training, boundaries, oversight, trusted information, and clear permissions before it can act safely. He uses the analogy of raising a puppy. When the puppy misbehaves, the problem may be inadequate training or poorly defined boundaries. AI agents present a similar leadership challenge. Organizations must ask what the agent has learned about the business and what authority it has been given. We discuss why model selection may be receiving too much executive attention. Kash describes four components of an agentic system: the model, tools, data, and context. Models are improving rapidly and tools are increasingly available, but business context remains incomplete across many enterprises. Data tells an agent a fact. Context helps it understand what the fact means within a particular customer relationship, geography, policy, or business process. Kash illustrates the difference with a pizza order. The data may confirm that someone is logged in, the model can interpret the request, and a tool can place the order. Context tells the system that it is Friday night, the customer is watching television, and they usually order pineapple and cheese pizza. The same principle becomes far more serious when an agent is dealing with medical equipment, supply chains, financial customers, or regulated information. It must understand which entities exist, how they relate, what information it may access, and which actions it has authority to complete. Kash identifies three requirements for safer autonomy: a governed source of truth, a live feedback loop, and enforceable permission boundaries. Trust must be built into the data and operating rules before the agent acts because the familiar human review step may no longer exist. We also discuss how governance changes when AI can execute decisions at machine speed. A poor decision made by one employee can usually be reviewed and corrected. A poor decision repeated automatically across thousands or millions of transactions can become a business incident before anyone intervenes. Kash shares examples involving restaurant menu launches, medical equipment deliveries, and call center offers. Each depends on current information and the relationships connecting customers, products, suppliers, locations, and previous interactions. For CIOs preparing today, Kash recommends building context around reusable entities rather than constructing an isolated data project for every AI use case. He points to Schneider Electric as an example where one unified foundation supported sales, shipping, operations, and marketing use cases. The conversation ends with a warning about slow data. Autonomous agents need current context because information that arrives after a decision has been made may no longer carry much business value. Kash predicts that the half-life of enterprise data will become a board-level measure. If a smarter agent can make a poor decision faster and with greater confidence, is your organization investing enough in the context, governance, and feedback needed to keep it on course? Listen to the conversation and share your thoughts with me.     Useful Links https://www.reltio.com/ https://www.reltio.com/datadriven/  

An imperfect drink with a perfect story. My reflections from Black Hat USA 2026 An Analog Brain In A Digital Age — A Newsletter by Marco Ciappelli No time to read? Let TAPE3 read it to you.

Reading this story title is difficult! Bobby has been working very hard over the summer on his new robot but has had a few issues along the way. His Mother and Father have told his he cannot fly anything around the neighbourhood after the problem with his last robot but he tries to convince them that he won't be flying this one, it will fly on its own. Bobby reaches out to Bernice to get her help with the test flight and then he is ready to try.  ✔️ Perfect for ages 5+ Sleep Tight!, Sheryl & Clark ❤️

The autonomous business era is no longer a future-state vision. It's already reshaping how supply chains operate. In this episode of Gartner ThinkCast, you'll hear from Gartner Senior Director Analyst Lindsay Azim as she delivers a preview of the 2026 Gartner Supply Chain Symposium/Xpo Opening Keynote. Drawing on both Gartner insights and real-world examples, she explores why success isn't about implementing AI first, fastest, or even best. It's about preparing supply chains for a future where people and machines work together to drive agility, resilience and growth.   You'll learn: Why Gartner believes the autonomous business era is already underway  How leaders should balance short-term AI value with long-term transformation  The difference between an automation mindset and an autonomous mindset  What autonomous-ready operations and workforces look like in practice   Dig deeper: Register to attend a Gartner Supply Chain conference Download the Gartner Supply Chain Top 25 See why Gartner is the world authority on AI   Timestamps: (00:00) Intro (01:31) A new business era begins (05:18) Defining autonomous business (07:10) What autonomous supply chains look like (09:35) The rise of machine customers (12:22) Success isn't about AI first (17:25) Exploitation versus exploration

Semantic layers and ontologies have moved from nice-to-have data modeling tools to the foundational engine required for enterprise AI. In this episode, Raman Tallamraju, Senior Director and Head of Enterprise Data Architecture and Engineering at Vanguard, breaks down how Vanguard is architecting its AI semantic layer to turn scattered institutional knowledge into reliable, agent-ready context. He shares why autonomous agents expose decades of hidden data debt, how to bridge domain-specific definitions like clients versus prospects, and how to balance building a unified semantic layer with a pragmatic, federated data operating model. Key Moments: Why Data Is Your Differentiator (02:36): Across four asset managers, Raman shares the one lesson that holds: data is the real differentiator in an AI-first world. Why Semantic Layers and Ontologies Are a Priority (14:12): Autonomous agents remove the human workaround, exposing years of technical debt in data modeling that tribal knowledge used to hide. Why Context Makes or Breaks Your AI Agents (19:18): Context is everything. Agents act confidently on wrong answers when terms like client, prospect, and lead go undefined. Launching an AI-Ready Data Program: Where to Start (24:54): Raman advises starting with a real business use case tied to points of economic leverage, rather than trying to boil the ocean. Why You Need a Federated Data Model (36:51): Raman explains why a single central platform isn't practical at a global firm, and the four levers he uses to earn real business ownership of data. Key Quotes: “If we're going to go in an AI-first world and everybody has access to the same frontier models… well, what is going to be differentiated about you? Data will be your differentiator, and the companies that bring the best data game are going to have enduring advantages over those that don't.” - Raman Tallamraju “You want your data to be well-defined. You want your data to be trusted. You want your data to be well-connected. You want your data to be contextualized. You want your data to be consumed in a multimodal way, and you want it to be ready for humans and machines at scale.” - Raman Tallamraju “If you're going to start with tech and you're going to go towards the shiny toys, those are good, but without the data foundations, they're going to sit in the garage. So I started calling it the Ferraris in the garage problem. Unless you get the data strategy running ahead, these Ferraris are going to run out of gas.” - Raman Tallamraju Mentions: The Innovator's Dilemma by Clay Christensen 57% of enterprises traced a wrong AI answer to missing business context — Credible bets portable, open-source semantic code beats proprietary metadata Guest Bio: Raman Tallamraju has twenty years leading enterprise technology and data strategy across four of the world's largest asset managers — Vanguard, T. Rowe Price, Capital Group, and Fidelity. Appointed Officer and Group Vice President at T. Rowe Price, where Raman built and led a 300-person global technology organization responsible for the firm's enterprise architecture and digital transformation. Wharton CTO Program, 2024. Raman has operated across the full investment value chain — research and trading platforms, client experience, distribution technology, and enterprise data infrastructure — with portfolio accountability exceeding $100M. Raman's career has been defined by taking on complex, high-stakes technology transformations and delivering measurable business outcomes: modernizing legacy estates, building scalable platforms, and creating the organizational structures that sustain them. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

​​As autonomous systems play a bigger role in spacecraft decision making, Jesús Bernal Allende, space lawyer and founder and director of IURUS Consulting, discusses how existing space law should be applied. Jesús unpacks how responsibility, licensing and coordination are being interpreted as autonomy becomes part of modern mission design.​ 

ServiceNow and AWS reveal how the DevOps Agent and MCP Server Console are turning incident response into a fast, autonomous, fully governed process. Topics Include:Govind Menon (ServiceNow) and Arun Jacob (AWS) discuss MCP and A2A strategy.ServiceNow understands workflows; partners with AWS to power them with AI.AI Control Tower governs and secures agent access to enterprise data.MCP is the industry standard for how AI agents read and act.Action Fabric spans A2A, REST APIs, and MCP for agentic work.AWS DevOps Agent, built on Bedrock, resolves incidents through sub-agents.Admin and operator access patterns integrate with Dynatrace, Datadog, Slack, GitHub.Demo: ServiceNow incident automatically triggers DevOps Agent investigation and resolution.DevOps Agent writes findings live back into the ServiceNow incident ticket.ServiceNow champions capping MCP servers at 30 tools for performance.MCP Server Console lets teams build scoped, use-case-specific tool servers.NowAssist skills, Knowledge Graph, and REST APIs become MCP tools.Live demo connects a 38-tool custom MCP server to DevOps Agent.Role-based access ensures users only see their permitted MCP tools.ServiceNow's autonomous ITOM agents point toward unsupervised future operations. Participants:Govind Menon – Head of MCP Product, ServiceNow Arunsingh Jeyasingh Jacob – Senior Solution Architect - ISV, Amazon Web Services See how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Qualys returns to Black Hat USA 2026 with an AI Risk Operations Center built around three principles customers have been asking for over the last three years. May Mitchell, Chief Marketing Officer at Qualys, walks through them in order. Detect vulnerabilities at AI speed. Prioritize what surfaces, because not every finding calls for action in the same hour and the sequence follows the workflows a team already runs. Eliminate it through autonomous remediation, then confirm the fix worked. Mitchell also notes that Qualys has been a Black Hat sponsor for over 23 years. What are security teams asking for at AI speed? They want detection to keep pace with disclosure. Mitchell points to InstaScan, the innovation Qualys launched during Black Hat week, which provides continuous scanning and detection. The meetings on the floor have been with customers from across the regions, not only the US. How has the AI conversation shifted since RSAC Conference? It has narrowed to implementation. Mitchell says the messaging moved from AI to agents to autonomous, and that this year the questions are targeted. How do I implement it. How do I get it into the workflows. How do I have governance. The economics of AI sits alongside those questions, with more asked about ROI, since budgets are not rising across the board. That pushes organizations to evaluate their technology stack, consolidate, and look for a single platform that gives complete visibility and gives security leaders something they can take to a board or a CFO. Customization depends on the size of the organization, and larger heterogeneous environments are where Qualys partners come in with risk assessment services, planning, integration, and ongoing management. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST May Mitchell, Chief Marketing Officer at Qualys On LinkedIn: https://www.linkedin.com/in/maymitchell/ RESOURCES Black Hat USA 2026 event coverage: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Qualys: https://www.qualys.com/ InstaScan announcement: https://www.qualys.com/company/newsroom/news-releases/usa/qualys-launches-instascan-to-detect-vulnerabilities-within-minutes-of-disclosure Agent Insta and scanless detection: https://blog.qualys.com/product-tech/2026/08/03/instascan-agent-insta-scanless-detection ROCon Americas 2026 in Austin: https://www.qualys.com/rocon/2026/americas 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 ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS May Mitchell, Qualys, Marco Ciappelli, brand briefing, brand story, brand marketing, marketing podcast, Black Hat USA 2026, risk operations center, InstaScan, AI speed detection, autonomous remediation, vulnerability management, prioritization, security governance, economics of AI, platform consolidation, cyber risk management, CISO, ROCon Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AI agents now autonomously execute full SEO workflows, not just tasks. Thenuka Karunaratne, CEO and co-founder of Sunbeam and Daydream, raised $20M+ building an AI-native SEO agency serving Notion, Replit, and Clay before launching Sunbeam, an autonomous SEO agent that has moved beyond workflow automation. Karunaratne breaks down why proactive "teammate" agents outperform reactive workflow-based tools, how leading indicators shift from indexation to ranking velocity to conversion as agent-driven programs mature, and why domain authority remains resistant to automation while on-site technical and content execution increasingly isn't. The conversation maps how SEO practitioners must shift from tactical execution toward product-fluent strategic oversight as autonomous agents absorb research, technical fixes, and content production at scale.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The major averages are moving lower to start the trading week as investors weigh the growing tensions in the Middle East. Kelly Evans and Robert Frank are joined on set by Pence Capital Management's Dryden Pence and Fundstrat's Tom Lee to discuss their takes on the state of the markets and whether hyperscalers should cut back their AI spending ambitions. Later on, retail consultant and former executive, Jan Kniffen, joins the show to give a read on the retail sector as a number of key companies are slated to report quarterly results in the coming days. Meanwhile, CNBC's Contessa Brewer sits down with Brunswick CEO, David Foulkes, for an exclusive interview on his company's latest high-tech boat models that can dock themselves with a push of a button. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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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.

Camden Bucey speaks with Derek C. Schuurman, professor and chair of computer science at Calvin University, about Christian wisdom in the age of artificial intelligence. Drawing upon Shaping a Digital World, Schuurman explains why technology is never neutral: people shape their tools, and those tools in turn reshape habits, institutions, and communities.The conversation sets contemporary AI within the biblical story of creation, fall, redemption, and new creation. Bucey and Schuurman contrast Christian hope with technicism—the belief that technology can solve humanity's deepest problems and build a technological heaven on earth. They also discuss human nature, transhumanism, responsible design, Christian higher education, autonomous weapons, and the need to keep human moral judgment and accountability in the loop.Chapters00:00 Introduction03:41 Derek C. Schuurman's path from engineering to Christian higher education08:29 Technology, cultural change, and the need for wisdom11:45 Technology is not neutral14:36 How tools reshape people and societies18:08 Reading technology through creation, fall, redemption, and new creation20:18 Two cities, two loves, and the biblical story22:22 Babel, idolatry, and the temptation to build heaven on earth23:21 Technicism and the promises of Silicon Valley26:52 Transhumanism and a Christian account of humanity29:14 Practical frameworks for responsible technological design30:36 Dooyeweerd's non-reductionistic view of creation33:19 Eight norms for faithful design37:34 Integrating Christian faith throughout education41:21 Liberal arts, AI, and well-rounded technical formation42:29 AI, labor, and the human calling to work43:42 Autonomous systems, accountability, and just-war questions45:55 Why moral judgment requires a human in the loop49:12 Faithful presence and wise Christian vocation51:41 Resources for engineers, designers, pastors, and parents53:24 Calvin University's “Wisdom in the Age of AI” conference55:36 ConclusionResourcesShaping a Digital World: Faith, Culture and Computer TechnologyA Christian Field Guide to Technology for Engineers and DesignersWisdom in the Age of AI Conference, Calvin University, October 8–10, 2026Magnifica HumanitasEpisode resources

Yoni Avital lives in Tel Aviv, Israel, with his wife and 3 older children. The oldest kid is a boy, so Yoni and he try to see as many football games as possible. He enjoys shopping with this girls, though it's cause he is their Dad, not because he enjoy shopping. He likes to travel, hike, and enjoys a nice white wine in warmer weather. His most memorable hike was at Yosemite, when he started at 4 am and came across a lot of wildlife.Yoni was in the virtual desktop space in the past. What he and his team realized was that troubleshooting these virtual experiences were incredibly complicated. They started to build an enterprise task manager, to centralize a task management UI to control the endpoints. When customers started asking to use it daily, Yoni figured out they had something unique.This is the creation story of ControlUp.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.controlup.com/https://www.linkedin.com/in/yoavital/Checkout our episode stacks on Stacklist! https://stacks.codestory.co/ Hosted by Noah Labhart | Technical Founder & Startup Mentor.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

With too many cooks in the kitchen, can innovation ever reach the road? In this Unplugged episode of SAE Tomorrow Today, host Grayson Brulte uses the culinary world as a powerful metaphor to explore one of the autonomous trucking industry's most pressing issues: who gets “veto power”? As startups challenge established OEMs and suppliers, questions around control, competition, and liability are shaping the future of commercial autonomy. Are legacy players protecting safety or their market position? And when disruptive newcomers refuse to back down, who ultimately determines the recipe for success? Tune in for a fresh perspective on the power struggles, partnerships, and industry dynamics that could define the next chapter of autonomous trucking. Have your own thoughts on this topic? We'd love to hear from you! Share your comments, questions or ideas for future topics with Grayson on Twitter or send them to podcast@sae.org. Follow SAE on LinkedIn, Instagram, Facebook, Twitter, and YouTube. Follow host Grayson Brulte on LinkedIn, Twitter, and Instagram.

In "The Infrastructure Autonomous Delivery Needs", Joe Lynch speaks with Chairman and CEO of Arrive AI, Dan O'Toole, about why smart endpoint infrastructure is the missing link to scaling autonomous logistics. About Dan O'Toole Dan O'Toole, CEO of Arrive AI, can speak to why endpoint coordination networks and logistics software are becoming the unresolved infrastructure problem—and the most durable value driver—in commercial autonomous logistics. Drawing on clinical-grade deployment data that reveals what the market actually needs to scale, he offers actionable lessons on how these operational insights translate seamlessly from healthcare to the broader commercial logistics ecosystem. About Arrive AI Arrive AI (Nasdaq: ARAI) stands apart by addressing the critical gap in autonomous logistics: the endpoint. Its Arrive Points smart hubs and Arrive OS software form a hardware-agnostic, AI-orchestrated network that connects drones, ground robots, and human couriers through verified, chain-of-custody handoffs. Backed by a decade of development, 10 U.S. patents, and international filings in 20-plus countries, this architecture isn't a feature add-on—it is the essential operating layer that makes autonomous delivery commercially viable. While competitors rush to deploy vehicles, Arrive AI has already proven its infrastructure in high-stakes, live hospital environments—securing a second contract on the strength of its initial deployment—positioning the company as a defensible, revenue-ready infrastructure asset as public markets increasingly reward durable AI networks. Key Takeaways: The Infrastructure Autonomous Delivery Needs In "The Infrastructure Autonomous Delivery Needs", Joe Lynch speaks with Chairman and CEO of Arrive AI, Dan O'Toole, about why smart endpoint infrastructure is the missing link to scaling autonomous logistics. Solving the "Last 50 Feet" Problem: While multimillion-dollar autonomous drones and ground rovers can navigate miles via GPS and LiDAR, deliveries often fail at the final drop-off point. Arrive AI bridges this gap with Arrive Point™ smart hubs, providing a secure physical landing pad and drop-chute for autonomous vehicles. Creating an Unbroken Chain of Custody: To combat the 1.7 million packages stolen daily in the U.S. and secure high-value goods like pharmaceuticals, Arrive Points utilize biometrics, RFID, and time-of-flight sensors. The unit stays locked until accessed by an authorized recipient, maintaining a verified digital record from dispatch to retrieval. Hardware-Agnostic Infrastructure for Universal Access: Rather than fragmenting the market with proprietary drop zones for different brands, Arrive AI acts as a carrier-agnostic portal. Its open operating layer (Arrive OS) allows drones, ground robots, and human couriers from any fleet to execute seamless handoffs at a single managed endpoint. Unlocking Asynchronous Delivery: Traditional delivery requires both courier and recipient to synchronize schedules, leading to costly re-delivery delays. Arrive AI's smart hubs decouple drop-off times from human availability, allowing 24/7 unattended deliveries and pick-ups without risk of weather damage, theft, or product degradation. A Defensible "Napkin to Nasdaq" IP Wall: Founded in 2014 and listed on the Nasdaq (ARAI) in 2025, Arrive AI established a critical first-mover advantage by filing foundational patents before major tech giants. The company now holds 10 U.S. patents and international filings across 20+ countries, creating a robust intellectual property moat. Proven Performance in High-Stakes Environments: Beyond residential ecommerce, Arrive AI's infrastructure has been validated in live hospital settings—where delivery failures carry strict regulatory consequences rather than just operational inconvenience. This clinical-grade reliability directly enabled the company to secure follow-on enterprise contracts. Climate Control for Sensitive Payloads: Outfitted with Climate Assist™ technology, Arrive Points can actively heat or cool up to 20 degrees within minutes to preserve perishable groceries and temperature-sensitive medical supplies, while integrated top-door heaters keep snow and ice from freezing the automated doors. Learn More About The Infrastructure Autonomous Delivery Needs Dan O'Toole | Linkedin Arrive AI | Linkedin Arrive AI OpenAI's IPO filing and the broader public-market rush into AI PepsiCo is running 35 driverless trucks commercially. Amazon just deployed a next-generation warehouse robot as part of a $12 billion investment push The Logistics of Logistics Podcast If you enjoy the podcast, please leave a positive review, subscribe, and share it with your friends and colleagues. The Logistics of Logistics Podcast: Google, Apple, Castbox, Spotify, Stitcher, PlayerFM, Tunein, Podbean, Owltail, Libsyn, Overcast Check out The Logistics of Logistics on Youtube

“Your doctor has more outdated technology than your Uber driver does,” Abhinav Shashank, co-founder and CEO of Innovaccer, tells Bloomberg Intelligence analyst Jonathan Palmer in this episode of the Vanguards of Healthcare podcast. Shashank explains why fixing healthcare’s fragmented data infrastructure is the foundation for the industry’s AI future and why long-term value will accrue to companies that own the data layer rather than the user interface. He also traces Innovaccer’s evolution from a data startup into a platform spanning 80 million patient lives, and argues that “autonomous healthcare” could strip hundreds of billions of dollars of administrative waste. The conversation explores the economics of AI, the danger of poorly designed automation, how acquisitions are filling gaps and Innovaccer’s ambition to reach $1 billion of annual recurring revenue.See omnystudio.com/listener for privacy information.

Sumedh Thakar joined Qualys as an early software engineer on the scanner, back when a 90-day scan cycle came with another 90 days to fix whatever it found. Twenty-three years later he leads the company, and the number he uses now is 90 seconds. At Black Hat USA 2026 he walks through what that compression asks of security teams. So what has actually changed? The questions have not. Where are my assets, what is my assessment of them, what do I prioritize, and what do I fix. Thakar points at the clock instead, citing a CISA directive that gives government agencies three days and zero-day conversations built around a 24-hour window. Layering dashboards on top of that produces what he calls dashboard tourism when nothing gets fixed at the end of it. Qualys organizes its response around three pillars. AI speed detection compresses the gap between a vendor disclosure and a confirmed finding. Hyper prioritization runs an actual exploit to see whether firewall and EDR controls already block it, cutting a theoretical 1% down to roughly 20% of that 1%. Autonomous remediation applies the fix without routing it through a human first. How far along is autonomous patching already? Qualys has deployed over half a billion patches, 150 million of them in the past 12 months, and 40 million of those went out with no human intervention. Thakar describes a global company with 450,000 employees running the agent for autonomous patching, where the board metric is a maximum four-hour exposure window from the time a patch is released rather than a count of vulnerabilities. He expects the monthly patch cadence to give way as disclosures accelerate. Qualys recently released InstaScan, which Thakar calls scanless scanning, delivering a finding within an hour of a vendor disclosure. A patch reliability score built using AI lets an agent judge whether a patch is dependable and reboot-free before applying it on a laptop. His closing advice to CISOs is to show up as a business partner. The board and the CEO need visibility into potential loss, current spend, and whether risk sits inside an acceptable appetite. For a $500 million business that means pricing what a breach would cost, funding the reduction of an $80 million exposure, and transferring what remains to cyber insurance. His shorthand for the operating model is the ROC alongside the SOC. This is a Brand Briefing. A Brand Briefing is an on-location conversation recorded on site at Black Hat USA 2026, putting a spotlight on the guest and their company and pairing it with the editorial reach of ITSPmagazine. Learn more: https://www.studioc60.com/performance/#briefing GUEST Sumedh Thakar, President and CEO at Qualys On LinkedIn: https://www.linkedin.com/in/sumedhthakar/ RESOURCES Black Hat USA 2026 event coverage: https://www.itspmagazine.com/black-hat-usa-2026-cybersecurity-event-coverage-in-las-vegas Qualys: https://www.qualys.com/ InstaScan announcement: https://www.qualys.com/company/newsroom/news-releases/usa/qualys-launches-instascan-to-detect-vulnerabilities-within-minutes-of-disclosure Agent Insta and scanless detection: https://blog.qualys.com/product-tech/2026/08/03/instascan-agent-insta-scanless-detection The Risk Operations Center with Enterprise TruRisk Management: https://blog.qualys.com/product-tech/2024/10/09/qualys-launches-enterprise-trurisk-management-the-industrys-first-cloud-based-risk-operations-center 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 ▶︎ Get your own Brand Briefing at an upcoming event: https://www.studioc60.com/buy-brand-briefings KEYWORDS Sumedh Thakar, Qualys, Sean Martin, brand briefing, brand story, brand marketing, marketing podcast, Black Hat USA 2026, autonomous remediation, patch management, vulnerability management, hyper prioritization, AI speed detection, scanless scanning, InstaScan, risk operations center, cyber risk management, zero day remediation, CISO, exposure management Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Podcast: Exploited: The Cyber Truth Episode: When Cybersecurity Becomes a Safety Issue: Protecting Autonomous and Critical SystemsPub date: 2026-08-06Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIn this episode of Exploited: The Cyber Truth, host Paul Ducklin is joined by RunSafe Security Founder and CEO Joe Saunders and returning guest Hemanth Tadepalli, Senior Cybersecurity and Compliance Manager at May Mobility, to explore why cybersecurity and safety are becoming inseparable as software takes control of vehicles and other critical systems. Drawing on his experience securing autonomous mobility platforms, Hemanth explains how connected vehicles have expanded the attack surface across software, cloud infrastructure, APIs, sensors, AI models, and supply chains. Joe explores how organizations can build resilience into software, protect legacy and resource-constrained systems, and move beyond the costly cycle of finding, patching, and deploying fixes. Together, Joe and Hemanth discuss: Why cyber-physical systems require a different security mindsetHow autonomous vehicles connect cybersecurity with physical safetyWhy compliance should be a baseline—not the end goalHow AI is changing both cyberattacks and defenseWhere software resilience and runtime protection fitWhy public trust depends on consistency, transparency, and safetyHow security, engineering, and compliance teams can work together Whether you secure autonomous vehicles, industrial equipment, medical devices, or other critical systems, this episode offers practical lessons for building software that is secure, resilient, and worthy of public trust.The podcast and artwork embedded on this page are from RunSafe Security, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Artificial intelligence has spent the last several years getting smarter on screens, recommending what to watch, drafting what to write, answering what we ask. This type of progress is now spilling out into the physical world, where machines are starting to move, sense, and adapt on their own. In this episode of Tech Transformed, host John Santaferraro, Founder and Analyst at Ferraro Consulting, talks with Prith Banerjee, Senior Vice President of Innovation at Synopsys, about what happens when AI has to obey the laws of physics instead of just the patterns in a dataset.Banerjee brings a rare vantage point to the conversation. Before Synopsys, he led HP Labs worldwide, served as group CTO at ABB and Schneider Electric, and ran engineering simulation software company ANSYS as CTO until its acquisition by Synopsys roughly a year ago - a deal that now anchors much of what he describes as Synopsys's "silicon to systems" strategy.The Road to Physical AIBanerjee traces AI's progress through distinct phases he's tracked across his career. It started with analytics, which was the correlation engines behind a Netflix recommendation, or the placement and routing improvements Synopsys has long applied inside its own chip design tools. Generative AI came next, giving machines the ability to produce original language, images, and video from a prompt rather than just surface existing content. Agentic AI followed close behind, handing off entire tasks, drafting a slide deck, prepping a sales call to systems that act more like assistants than tools.Physical AI is the phase Banerjee sees unfolding now, and it's a different kind of leap. Instead of learning from words or pixels, these systems learn from real physical measurements: pressure, temperature, stress, and strain. Training that kind of intelligence takes synthetic data generated across structural, fluid, and electromagnetic physics precisely the simulation capability ANSYS brought into Synopsys.Teaching Robots to Learn Like HumansThe shift shows up clearly in how robots are built today. A decade ago, getting a robotic arm to pick up a bottle without crushing it meant writing enormous programs, sometimes 100,000 lines of code specifying exactly how each motor should move. Physical AI throws that playbook out. Banerjee compares it to teaching a child to ride a bike: nobody narrates which pedal to push. The child watches, tries, falls, and adjusts.Robots now learn the same way, refining their behaviour through reward and penalty as they attempt a task thousands of times. Autonomous vehicles follow the identical pattern at far greater scale, learning from millions of hours of driving footage until they recognise, for instance, that a pedestrian stepping into the street means stop. Synopsys works with autonomous vehicle and robotics companies to generate the synthetic training data that makes this kind of learning possible without requiring endless real-world testing.Engineering the Intelligent Systems of TomorrowThat intelligence has to run on something, and the conversation turns to what it takes to build the silicon underneath it. Chips that once held a few hundred thousand transistors now carry tens or hundreds of billions, some approaching trillions, stacked using advanced 3D and chiplet techniques. Designing them means balancing power, performance, and thermal limits simultaneously rather than simply over-engineering for safety margin, which Banerjee calls co-design.Synopsys is tackling that complexity with what it calls agent engineers. AI systems introduced at its Converge conference that work alongside human chip designers on tasks like RTL design, test benches, and sign-off, effectively multiplying engineering capacity without multiplying headcount. The same pressure shows up at the edge, where trained AI models have to run inside a drone, car, or warehouse robot on a fraction of the power a data centre would use, with no room for cloud latency. Banerjee shares his perspective on why many AI projects struggle. He argues that the real challenge lies in balancing innovation with trust: robots operating alongside people raise questions of safety and collaboration, while autonomous systems connected to networks demand security, traceability, and clear explanations for the decisions they make.His advice to engineering leaders is to treat this shift as organisation-wide rather than a single team's problem, from legal and marketing functions already using agentic tools to engineering teams rethinking how code gets written. The goal, as he puts it, isn't replacing people but making them capable of far more than they could manage alone. If you would find out more about this, visit Synopsys or follow Prith Banerjee on LinkedIn.TakeawaysEvolution of AI from analytics to physical AI.Role of synthetic data in training physical AI.How robots learn through physical interactions.Complexity and innovation in chip design.Agentic AI and its applications in engineering.Challenges of edge AI in autonomous systems.Security, governance, and safety in physical AI.Chapters00:00 Introduction to AI's Evolution and Physical AI01:15 Prith Banerjee's Career Journey and Role at Synopsys04:19 The Phases of AI: Analytics, Generative, and Agentic07:55 What is Physical AI and How It Learns from the Physical World09:23 Robotics and Autonomous Learning Through Physical AI19:41 Impact of AI on Chip Design and Complex Systems23:29 Design Challenges of Complex, AI-Driven Chips26:57 Edge AI and Challenges in Autonomous Devices28:09 Implications for Organisations and Future Investments

"Everybody thinks that autonomous heavy equipment is commonplace, whereas in fact the adoption is basically zero."Frederik Filz-Reiterdank said that to us from the operator's seat of an autonomous roller, on a live chip fab site in upstate New York, with his dozers and dump trucks working away behind him.His company, Crewline AI, raised a $7.1M seed earlier this year led by Initialized Capital and Nebular to automate the machine operators hate driving.What we got into:✅ Why the roller is the wedge for construction autonomy, and why the excavator falls last✅ A retrofit kit that turns a standard drum roller into a self-driving one in under an hour✅ Selling a "virtual roller operator" instead of renting out a robot✅ The four month insurance grind nobody warns robotics founders about✅ Why 95% of candidates are disqualified the moment they hear about the forward-deployed lifestyleFull episode now live on YouTube and Spotify.#bricksandbytes #bricksbytes #bricksbucksandbytes #aec #construction #constructiontech #ai #vcOur Sponsors:BreadCrumb- 50,000+ projects globally. All running safer, faster, with Breadcrumb. - breadcrumb.coAphex is the multiplayer planning platform where construction teams plan together, stay aligned, and deliver projects faster – check out aphex.coArchdesk - “The #1 Construction Management Software for Growing Companies - Manage your projects from Tender to Handover” check archdesk.comChapters00:00 Teaser01:00 Introduction and Context of the Conversation03:43 Autonomy in Construction: Current State and Misconceptions09:21 Choosing Rollers: The Perfect Wedge for Automation11:47 Understanding Pain Points in Construction14:55 Business Models: Robotics as a Service vs. Outcome-Based Pricing18:49 Deployment Strategy for Autonomous Rollers21:00 Insurance and Liability Challenges22:09 Building Trust with Customers24:45 Overcoming Skepticism in Construction27:49 Future of Automation in Construction32:10 First Steps for Contractors

The next evolution of enterprise networks is not more automation, it is autonomy. In this episode of Technovation, Peter High speaks with Verizon CTO Yago Tenorio about how Verizon is building toward Level 4 network autonomy, where AI agents operate as “digital colleagues” under human supervision. Yago explains how autonomous systems could reduce incident resolution from hours to seconds, identify customer experience gaps traditional network monitoring cannot see, and operate safely through observability, traceability, reversibility, and accountability. They also discuss Verizon's rollout of Claude Code to 33,000 technology employees, the changing skills required in an AI-first workforce, why data and domain expertise matter more than simply deploying the largest language model, and how AI could reshape the future of connectivity. This episode is presented by ElevenLabs — Bringing technology to life. Learn more at elevenlabs.io

Enterprise AI has moved past experimentation and now has to prove its return. Ed Sim, Founder and General Partner of boldstart ventures, ranked the No. 1 seed investor in the Business Insider Seed 100 two years running, sees hundreds of AI startup pitches a year, and writes the first check into companies enterprises buy from years later. He wrote the first check into Snyk and backed Protect AI, which Palo Alto Networks acquired for more than $700 million. In this conversation, he lays out the three waves of enterprise AI adoption, why rising token costs are pushing companies toward open-weight models and their own hardware, how agent identity and access create a new attack surface, and what separates AI vendors that survive a shakeout from the ones that do not.YOU'LL DISCOVER✅ The three waves of enterprise AI: get AI running, get agents running, and the wave happening now, where ROI and tokenomics decide what survives✅ Why Ed expects dozens of models inside a single enterprise, and the choice he frames as renting intelligence versus owning it✅ How one portfolio company packaged eight GPUs, CPUs, and a model router into an appliance, routing roughly 10% of queries to the frontier labs and claiming 70% savings per year✅ Why agents should be granted access at runtime that expires when the task ends, so a breach's blast radius stays contained to one narrow authorization✅ Cost per outcome as the yardstick: the human doing the task, the AI doing the task, and the human assisted by AI, applied first to discrete work like coding and customer support✅ A 57-step insurance claims process where the AI was correct 98% of the time and the humans 85%, a gap only visible because every step was recorded✅ The real difference between open source and open weight models, and why most of Ed's startups now build on open weight models under the hood✅ Why he argues offense is the new defense, and what the Black Hat sandbox escape means for CISOs planning autonomous defense⏱️ TIMESTAMPS0:00 Introduction0:36 Three waves and the ROI test3:06 Many models and where startups win10:32 Who owns access, context, and evaluations17:21 It's the people, not the architecture20:04 Measure the outcome, then cut the cost28:14 Buying talent and changing culture33:05 Systems of record versus headless agents36:31 Venture money pivots to robotics and chips40:11 Open weights and owning your intelligence44:44 Autonomous attacks need autonomous defense51:32 Judging vendors and earning enterprise trust

Project Synapse (Aug 8, 2026): Singularity Claims, Agent Security Escapes, and the Rise of Autonomous Robots Jim Love hosts Project Synapse (Aug 8, 2026) with Marcel Gagne and John Pinard, discussing rapid AI advances framed as "the singularity," including a rumored OpenAI GPT-6 proving and disproving 10 long-standing math proofs in hours. They describe increasingly humanlike conversations with Claude and ChatGPT voice mode, and how ChatGPT can rapidly build full websites, shrinking the value of many tools. The group raises major security concerns about agents using browsers, bypassing bot blocks, leaving exploitation instructions online, and alleged model hacking incidents involving Hugging Face, alongside a lack of clear AI regulation and accountability. Marcel shares an automated alien news project ("Other World Witness News" with Slithax) built via agents, ElevenLabs, and a lip-sync site. They cover Google's Gemini Robotics 2 and a Chinese humanoid companion robot "Moya" ($175,000), emphasizing elder-care economics, then John plugs Integral Consulting Solutions (integralconsulting.ca) focused on cybersecurity and AI for small-to-mid-size businesses. NordLayer sponsors the episode. 00:00 Sponsor NordLayer 00:40 Back From Vacation 00:46 Singularity Claim 01:43 AI Solves Proofs 04:51 Claude Feels Human 07:14 AI Builds Websites 09:48 Collaboration Not Prompts 13:21 Agents And Hermes 14:54 Linux Desktop Spike 17:21 Model Retirement Ethics 20:04 Voice Mode And Grok 23:44 Agents Hack Internet 30:03 Liability And Laws 32:08 Regulation Worldwide 34:05 Social Media Laws Fail 36:57 Meta Anger Machine 37:43 Alien News Project 40:51 Slithax Episode Demo 42:12 Automating Slithax Pipeline 44:32 Animating Slivax Workflow 46:10 Weird News Stories 47:40 Deepfake Ethics Debate 50:17 Agents Beat Bot Blocks 54:06 AI As Daily Helper 59:36 Spotting Scams With AI 01:02:38 Browser Automation Demo 01:04:37 Google Robotics Breakthrough 01:14:36 China Companion Robot Moya 01:19:46 Care Economy And Jobs 01:27:02 Consulting Plug And Wrap 01:30:28 Sponsor NordLayer Outro

Garett Greco and producer David break down the latest fight over the Tampa Bay Rays stadium, Florida property taxes, Ybor City's transformation, AI data centers, Tampa transportation, Amtrak, housing affordability, and what Tampa needs to get right as the city continues to grow.They discuss:◼️Why Tampa should understand the impact of Florida's property tax changes before committing massive public dollars to a new Rays stadium◼️How restoring Castle Lala and moving the TBD Podcast headquarters to Ybor City fits into his vision for preserving Tampa's history while building its future◼️Why Tampa Union Station, expanded rail service, walkability, and better connectivity could transform the way people move around Tampa and Florida◼️Why AI data centers could create major questions around land, electricity, drinking water, infrastructure, and whether local communities actually benefit from them◼️What Florida's property tax amendment, rapid population growth, rising housing costs, and development pressure could mean for homeowners, renters, businesses, and local governments0:00:00 - Intro0:01:10 - Stadium & Development News0:07:41 - Casa Da Lala Building Purchase0:19:31 - Ybor Connectivity & Totem Grocery0:25:02 - Miami-Tampa Train Ride0:37:31 - Autonomous Vehicles & Robotaxis0:53:22 - 9/11, Covid & Surveillance1:05:10 - AI Data Centers Debate1:11:35 - Florida Governor Race1:25:37 - Property Taxes & Wrap-up

We have a special return episode, by our good friend Rickard Hansson. Rickard joined us previously on the podcast in Season 8 to tell the creation story of Weavy - collaboration infrastructure for serious builds. Today, he makes a follow up visit to tell us all about Gainable, his new project - which removes data and engineering from being the middle man, and enables your team to build the apps they need now.Questions;Last time we talked in Season 8, you were building Weavy. Whats happened since we last talked with that company?Tell me about Gainable - give me the pitch there, and tell me why this is the right approach to using AI.Most AI builders wire straight to a frontier model and wait for the next release to fix the gaps. I didn't. Where does the model actually sit in Gainable product, and why only there?Why is an app factory that is deterministic important? Dig into that.You use the term "free-range coding".. what does this mean? Unpack the phrase for us.You point out that tokens still appear to be heavily subsidized to me. What do you mean by that, and what happens to all these AI products when that ends?We've all read the headlines - Fable 5 got switched off by the government for 18 days. Why do you see this as a turning point, not a footnote?You suspect flat subscriptions for the top models are done, and it all drifts to credit-based. What signal are you seeing that tell s you this?If the model is a commodity everyone rents, where's the moat?What is next for Gainable, and how can someone get started using the platform?SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.gainable.dev/https://www.weavy.com/https://www.linkedin.com/in/rickardh/https://codestory.co/podcast/bonus-rickard-hansson-weavy/Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

(0:00) Saronic founders join the show! (4:56) The Navy's first autonomous rescue in the Strait of Hormuz, and how China out builds America 230-to-1 (13:04) $3B destroyers vs. Marauder (21:25) Killing cost-plus, the new primes, and why only 1% of the budget goes to autonomy (25:55) Could 10,000 Corsairs actually lock down a 20-mile strait? (31:25) China's arming robot dogs: will our AI weapons hurt us in Taiwan? (36:33) Exclusive announcement: Port Alpha lands in Brownsville: 4000 acres, 10,000 jobs Thanks to our partners for making this possible! Creative Planning. As wealth grows, complexity compounds. Between investments, tax strategy and estate planning, coordinating it all can feel like a full-time job. Creative Planning can help with the heavy lifting. https://ad.doubleclick.net/ddm/trackclk/N2598215.3565131ALLIN/B36182939.452362736;dc_trk_aid=646454825;dc_trk_cid=260464105;dc_lat=;dc_rdid=;tag_for_child_directed_treatment=;tfua=;ltd=;dc_tdv=1 Starting a business? Northwest Registered Agent gives you everything you need to build a complete Business Identity including free tools and built-in privacy. Get more at https://www.northwestregisteredagent.com/ALLINFREE Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@allin Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

    What does it take to keep wounded Soldiers alive when the next war means hours — not minutes — to the operating table? In this special collaboration between WarDocs and OP MED TV, recorded at the Defense Strategies Institute OP MED Symposium, COL Shaun Brown, MD, Commander of the U.S. Army Institute of Surgical Research, lays out the research agenda that will decide whether the wounded of the next conflict survive. COL Brown's path into Army medicine began with a rejection. Poor eyesight closed the door on the U.S. Naval Academy, so he pursued pre-med as a civilian undergraduate. When 9/11 happened, it solidified both his commitment to medicine and his decision to serve, and he took an Army HPSP scholarship in medical school. He trained in general surgery at William Beaumont Army Medical Center — a program with a long, quiet relationship with the special operations community — where attendings would vanish overnight for operational requirements. He chose colorectal surgery as a fellowship to add technical range he could use in civilian practice and on the battlefield, then joined Joint Special Operations Command at Fort Bragg after a year on staff in El Paso. Now commanding the Army's premier combat casualty care research enterprise, COL Brown is candid about what excites him and what worries him. He is most energized by the Organ Support and Automated Technology department, and he uses a widely shared video of a Ukrainian amputee evacuated by unmanned ground system to make his point: autonomous evacuation without autonomous medical support only moves the walking wounded. Ventilators that read changing physiology and adjust themselves, autonomous IV pumps, and en-route support are the missing half of the capability. His concern is combat wounds. In large-scale combat operations with prolonged evacuation timelines, Dr. Brown expects most damage control surgery to be done for sepsis rather than hemorrhage — the patients who cannot be evacuated become septic extremities. He also walks through the blood problem: whole blood is the standard, low-titer O supply will not be sufficient at scale, and the answer is shelf-stable components, including freeze-dried and spray-dried plasma, freeze-dried platelets, and freeze-dried red cells. The conversation closes on people. Brown details how the Army sustains surgical readiness through a diversified platform of military treatment facilities, civilian partnerships, and untapped Veterans Affairs relationships; how he coordinates with the Reserve consultant to pair complementary skill sets on deploying teams; and why, quoting the Army War College, he still serves: you train for the known and you educate for the unknown. Chapters (00:50-02:16) From Naval Academy Dreams to Army Medicine (02:16-04:33) Colorectal Surgery and the Road to Joint Special Operations Command (04:33-08:06) Commanding the ISR: Autonomous En-Route Care and the Combat Wound Gap (08:06-11:59) Blood, Plasma, and the Shelf-Stable Future of Resuscitation (11:59-18:16) Burn Care, Surgical Readiness, and Partnerships Across Components (18:16-22:22) Forward Surgical Capability Gaps and Why He Still Serves Chapter Summaries (00:50-02:16) From Naval Academy Dreams to Army Medicine Brown describes how bad eyesight ended his plan to attend the U.S. Naval Academy and sent him to a civilian undergraduate program and pre-med coursework. September 11th solidified his decision to pursue both medicine and military service, and he applied for the HPSP scholarship in medical school, choosing the Army's four-year award over the Air Force's three-year option. (02:16-04:33) Colorectal Surgery and the Road to Joint Special Operations Command He explains why he chose colorectal surgery — additional technical skill he could use in civilian practice and on the battlefield — and how residency at William Beaumont Army Medical Center exposed him early to the special operations world. He recounts getting the recruiting call while loading a moving van in New Orleans, then completing assessment and selection before moving to Fort Bragg. (04:33-08:06) Commanding the ISR: Autonomous En-Route Care and the Combat Wound Gap COL Brown identifies the Organ Support and Automated Technology department as the work he is most excited about, using a Ukrainian unmanned-ground-system evacuation video to argue that autonomous platforms without autonomous medical support can only move the walking wounded. He then names his chief concern: combat wound research funding, and his expectation that in large-scale combat operations most damage control surgery will be done for sepsis rather than hemorrhage. (08:06-11:59) Blood, Plasma, and the Shelf-Stable Future of Resuscitation The discussion turns to the evolution from component therapy to 1:1:1 ratios to whole blood, and Dr. Brown's assessment that low-titer O will not be available in sufficient quantity for large-scale combat operations. He details work on freeze-dried and spray-dried plasma, freeze-dried platelets, and freeze-dried red cells, noting that spray-drying is faster, cheaper, and uses equipment roughly the size of two ATMs — a major advantage for distributed manufacturing. (11:59-18:16) Burn Care, Surgical Readiness, and Partnerships Across Components COL Brown addresses the burn casualty problem in a future fight: forward Class VIII resuscitation supply, scaling the Advanced Burn Life Support course for deploying units, and partnerships with civilian burn centers, including placing Army burn surgeons in MILCIV sites. He then lays out the diversified surgical platform — military treatment facilities, community hospitals, and underused VA partnerships — and how he works with the Reserve consultant to pair complementary skill sets on deploying units. (18:16-22:22) Forward Surgical Capability Gaps and Why He Still Serves Asked what a forward surgical team still needs, COL Brown points to an off-the-shelf, infection-resistant biologic vascular conduit as a potential game changer over shunts — with the training investment that would require. He closes with his why, quoting the Army War College maxim that you train for the known and educate for the unknown, and asking who will be left to educate the next generation if experienced leaders walk away during the interwar period. Take Home Messages Autonomous evacuation without autonomous care only moves the walking wounded: Unmanned ground and air systems can pull a casualty off the battlefield, but a platform alone does not sustain a patient who needs a ventilator, a pump, or a transfusion en route. The medical community must be in the ground-maneuver conversation early, because a small design change can turn a logistics platform into a casualty evacuation platform. Autonomous ventilators that read changing physiology and adjust themselves are the missing half of that capability. In the next war, sepsis may drive damage control surgery more than hemorrhage: Prolonged evacuation timelines change the casualty population that reaches a surgeon. Patients in uncontrolled hemorrhage far from a surgical team frequently do not survive the wait, while patients with survivable wounds that cannot be evacuated arrive septic days later. Combat wound research and combat wound solutions deserve renewed funding priority for large-scale combat operations. Shelf-stable blood components are the answer to a cold chain that will not hold: Warm whole blood remains the standard of care, but low-titer O will not be available in the quantities a large-scale conflict demands, and cold chain storage is a logistical vulnerability. Freeze-dried and spray-dried plasma, freeze-dried platelets, and freeze-dried red cells are all in the research pipeline. Spray-drying offers a particular advantage: it is faster, cheaper, and the equipment footprint is small enough to support distributed manufacturing forward. Burn readiness is a supply problem, a training problem, and a partnership problem: Thermal weapons, lasers, fuel, and explosions could produce burn casualty volumes the system has not seen in decades. Resuscitation depends on adequate crystalloid and plasma forward, on teams trained to calculate burn surface area correctly, and on scaling the Advanced Burn Life Support course to deploying units. Long-term capacity also depends on formal relationships with civilian burn centers and on placing military burn surgeons inside those partnerships. Surgical readiness comes from a diversified platform, not from one hospital: Military treatment facility volume alone will not sustain a surgeon's skills, so readiness now depends on layering community hospital partnerships and Veterans Affairs relationships on top of the military caseload. Functional VA hospitals near large installations without strong academic affiliations are ripe for preferred referral partnerships. What surgeons need most is not trauma volume but complexity, which older patients with more complex medical conditions reliably provide. Episode Keywords military medicine, combat casualty care, US Army Institute of Surgical Research, ISR, Shaun Brown, WarDocs, OP MED TV, Army surgeon, damage control surgery, LSCO, large-scale combat operations, whole blood, freeze dried plasma, spray dried plasma, blood products, burn care, Army Burn Center, prolonged casualty care, en route care, autonomous medical systems, trauma surgery, military health system, surgical readiness, Army medicine Hashtags #MilitaryMedicine, #WarDocs, #CombatCasualtyCare, #ArmyMedicine, #TraumaSurgery, #LSCO, #MilitaryHealth, #BurnCare Honoring the Legacy and Preserving the History of Military Medicine   The WarDocs Mission: WarDocs exists to honor the legacy of Military Medicine, preserve its history, and inspire every generation — across all Services, Corps, and Ranks — to serve with excellence and pride. Through mentorship, coaching, and education, we equip those considering, entering, and serving in military medicine with the knowledge, connections, and community they need to thrive. We celebrate Who we are, What we do, and, most importantly, How we serve Our Patients, the DoW, and Our Nation.   Find out more and join Team WarDocs at https://www.wardocspodcast.com/ Check our list of previous guest episodes at https://www.wardocspodcast.com/our-guests Subscribe and Like our Videos on our YouTube Channel: https://www.youtube.com/@wardocspodcast Listen to the “What We Are For” Episode 47. https://bit.ly/3r87Afm   WarDocs- The Military Medicine Podcast is a Non-Profit, Tax-exempt-501(c)(3) Veteran Run Organization run by volunteers. All donations are tax-deductible and go to honoring and preserving the history, experiences, successes, and lessons learned in Military Medicine. A tax receipt will be sent to you.   WARDOCS documents the experiences, contributions, and innovations of all military medicine Services, ranks, and Corps who are affectionately called “Docs” as a sign of respect, trust, and confidence on and off the battlefield, demonstrating dedication to the medical care of fellow comrades in arms.   Follow Us on Social Media Twitter: @wardocspodcast Facebook: WarDocs Podcast Instagram: @wardocspodcast LinkedIn: WarDocs-The Military Medicine Podcast YouTube Channel: https://www.youtube.com/@wardocspodcast

Everyone in biotech agrees AI needs more data. Almost no one is willing to pay for it. If you're trying to build or buy a biotech AI model, you've hit the same wall: predictive performance depends on data your budget doesn't cover, and nobody in the field seems willing to close that gap. John Androsavich runs Ginkgo Datapoints, the bio AI data arm of Ginkgo Bioworks. He trained as an RNA scientist, spent years on the pharma side deciding which technologies were worth buying, and now sells the raw biological data everyone claims to want. Ross and John get into why biotech spends a fraction of what tech spends on data, how automation dropped ADME testing to $199 a compound, and what that unlocks for drug discovery pipelines and data science in biotech more broadly. You'll hear why single-cell foundation models don't scale the way the field expected, and how GPT-5 designed its own lab experiments inside an autonomous facility. This one's for data and analytics leaders in biotech who need a clearer read on where to spend on data generation, and where the field is still guessing. It's less useful if you're after a general AI overview with no biotech specifics. Key Takeaways - One Meta investment in a data-labelling vendor outweighs a full year of AI drug discovery venture funding combined, and dwarfs the entire single-cell data market. Biotech's data spend looks nothing like tech's. - Ginkgo's ADME-1 offering runs at roughly a tenth of standard pricing, which is changing when and how much companies test. Teams are now running full tier-one panels earlier instead of triaging molecules before they've generated the negative data models need. - A recent Microsoft Research paper found single-cell foundation model learning saturates at 200,000 to 2 million cells, out of a possible 20 million. Volume alone isn't the lever people assumed it was. - GPT-5 wrote its own experimental protocols for optimising cell-free protein expression, ran them through Ginkgo's autonomous Nebula lab, and hit the lowest price-per-titer ever recorded in the field. Chapter Markers 00:00 Introducing John Androsavich and Ginkgo Datapoints 01:12 Why Ginkgo launched a bio AI data business 05:03 Which companies benefit most from Datapoints 06:31 The paradox: everyone wants data, no one pays 09:00 How automation drives ADME-1's $199 price point 12:59 Testing the Jevons paradox in biotech data buying 16:05 Do we actually know biotech AI's scaling laws? 20:54 Why foundation model builders resist more data 24:59 What an empirical bake-off for bio AI could look like 29:32 The case against sitting on the sidelines 33:26 Inside the Virtual Cell Pharmacology Initiative 41:57 Where VCP fits among other virtual cell projects 44:50 The Antibody Developability Consortium with Apheris 53:57 Autonomous labs and GPT-5 designing its own experiments 59:38 Advice for mid-stage biotech data strategy 01:01:31 Final thoughts on where bio AI investment is heading Useful Links & Resources - Ginkgo Bioworks: [ginkgobioworks.com](https://www.ginkgobioworks.com) - Related episode: Apheris CEO Robin Rohm on federated co-folding (Data in Biotech) - Related episode: Eliza Appel on Lilly's TuneLab and federated learning (Data in Biotech) - CorrDyn: [corrdyn.com](https://www.corrdyn.com) Connect With the Show - Host LinkedIn (Ross Katz): [linkedin.com/in/b-ross-katz](https://www.linkedin.com/in/b-ross-katz/) - Host X: [x.com/brosskatz](https://x.com/brosskatz) - CorrDyn LinkedIn: [linkedin.com/company/corrdyn](https://www.linkedin.com/company/corrdyn/) Where does your organisation sit on the data investment paralysis John describes? Are you waiting for someone else to prove the scaling laws first, or are you buying the data now? Drop your take in the comments. Visit corrdyn.com to learn how CorrDyn can help your organisation extract value from data. #DataInBiotech #BiotechAI #DrugDiscovery #DataScience #GinkgoBioworks

Luuk F P Giesen, Jeroen A Roest, Frederique M A Koopman, Martine M L Deckers, Helena Chon, Christian M Hackeng, Jurgen A Riedl, Michiel de Bruin, Brooke M Katzman, Warry van Gelder, Janne Cadamuro, Mads Nybo, Michael A Fouraux, Thijs C van Holten, Robert de Jonge. Performance, Safety, and Patient Experience of an Autonomous Robotic Phlebotomy Device: A Multicenter Trial. Clinical Chemistry, Volume 72, Issue 8, August 2026, Pages 845–856. https://doi.org/10.1093/clinchem/hvag029

Since the start of Dan Miller's career in ag journalism, the pace and scale of news has only increased. His first gig in the biz, as the very first writer for the old Iowa Farmer Today paper, introduced him to current and future Presidents, to farmers from across the country, and sent him on reporting missions around the world, including to the former Soviet Union.For just a little while long, we know Dan as the Senior Machinery Editor at DTN Progressive Farmer, but as he heads off into retirement, he joins us for one last conversation about his career as an ag journalist, what he's noticed in more than four decades of watching the ag industry change, and what he thinks might lie ahead.Today, we'll reminisce about Dan's early career, how he learned to cover agriculture after starting out in small town journalism covering courts and crime, and hear what it was like to be there to witness history being made first hand.He'll then look forward to what he sees as the future of farm machinery and the future of agriculture more generally, and shares the best advice he's learned about farm reporting, and why he thinks this work will remain relevant into the uncertain future.

Erin Ainé and Kyle Valle return for a chat about their Micro horror film, Autonomous. Watch Autonomous on https://www.screamify.com Kyle and Erin's links: Zombieconvol1.com Bigsquidproductions.com Erin's socials: @erin_aine Kyle's socials: @Kykyv71   Support the Rings Of Adventure Kickstarter: https://www.kickstarter.com/projects/rvb1/rings-of-adventure-anthology   Podcast Website: thetrueandthefictional.com Contact the show: thetrueandthefictional@gmail.com Support the show: Buymeacoffee.com/sttatf Buy Merch: Jabryden.printify.me   Follow us on the socials: FB: Facebook.com/storiesthetrueandthefictional IG: @stories_podcast X: @stories_ttatf Youtube: https://www.youtube.com/channel/UCzIXhRcUvPPAzpCL-_a9N4w   Dropbear/logo designed by Mike Crumbs: Cartooncrumbs.com   Sponsor 1: Rebecca Cassells Buy her books on Amazon: https://www.amazon.com/.../e/B08WCH6RHG/ X: RACassells_auth IG: Rebecca.cassells.92 FB: Facebook.com/RebeccacassellsbooksTikTok: @rebeccacassellsauthor   Sponsor 2: J.A. Bryden  Website: Jabryden.com Socials: @jabryden   Indie Book Award Winners 2025:   Janelle Schiecke: Socials: J_Schiecke Buy her books: https://www.amazon.com.au/stores/author/B0CCXHKVGH/allbooks?_encoding=UTF8&ref_=aufs_ap_ahdr_dsk_ab&pd_rd_w=XSV9m&content-id=amzn1.sym.b4344408-bcb0-46d7-b9b0-ac31160009fa&pf_rd_p=b4344408-bcb0-46d7-b9b0-ac31160009fa&pf_rd_r=358-0097934-1431222&pd_rd_wg=8hy1R&pd_rd_r=f0f7368c-365a-4c1c-8cc2-4a75595b0f92   Alexander Rob: Socials: @TheStarwald Website: Alexanderrob.com   #indieauthorpodcast #meettheauthor #books #indiebooks #booktube

Lucie Low is the Chief Science Officer of Axiom Space, a prominent space company developing its own space station and conducting private astronaut missions, among other activities. Lucie and I talk about what interesting use cases are for in-space research and manufacturing, what remains to be done to make it a large-scale reality, and other related topics. Enjoy!

If AI can now execute an entire marketing campaign from a single prompt, what is the new primary function of a marketing leader?While agility often requires adapting to new tools, it can also require fundamentally rethinking the operating model of a marketing organization. It's about reallocating your most valuable resource—your team's strategic thinking—to where it can have the greatest impact.Today, we're going to talk about the shift from AI as a tool to AI as an autonomous agent. We'll explore how these "agentic" AI systems, which can independently execute complex tasks based on strategic goals, are poised to redefine the marketing function, separating real value from hype and forcing us to reconsider the balance between human creativity and machine execution.To help me discuss this topic, I'd like to welcome back to the show, Jamie Domenici, CMO at Klaviyo.Enjoyed 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 and more: https://aglbrnd.co/r/35ded3ccfb6716baCheck out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.comThe 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.

The full version of this episode (34 minutes & Ad-free) is available for Silk+ Members (FREE for a limited time!) and includes access to 600 more episodes from these podcasts: Sleep Whispers (430+ episodes) Calm History (100+ episodes) ASMR Sleep Station (50+ episodes) 1 & 8-Hour Nature Sounds (50+ episodes) 1 & 8-Hour Background Sounds (30 episodes) History Showcase (25+ episodes) Extended … Continue reading *Sample* | Wilderness Survival Story: Part 7 – Cutting Logs, Boiling Water, & Cleaning Wounds (Bonus Episode #116)

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Welcome back everyone! Apologies, apologies, and apologies a thousand times over, but the ever-late Novel Spirits gang delivers yet another episode and another Battle of the Genres!!! As promised, this time it's a SciFi battle, where Halo: The Rubicon Protocol by Kelly Gay (Presented by Michael) takes on Autonomous by Analee Lewitz (presented by Jacob). Grab your drinks, your books, gather around, and mind the shenanigans. As always, we are bound to dive deep into lore and analysis for your viewing and/or listening pleasure.   Halo: The Rubicon Protocol - https://www.amazon.com/dp/1982147881?lv=shuf&channelId=500&plpRedirect=mhFallback Autonomous - https://www.amazon.com/dp/1250174686?lv=shuf&channelId=500&plpRedirect=mhFallback Drink of the night - https://www.bacardi.com/us/en/ 0-0-8 Studios - https://linktr.ee/Zero0Eight   Be sure to like and subscribe. Novel Spirits is brought on by 0-0-8 Studios, and there are many projects on the horizon. Stay tuned for the latest and greatest, our monthly vids, and claim your chance to win some cool merch. Cheers!

When your AC fails in a heatwave, you don't want a busy signal; you need a solution. Netic founder and CEO Melisa Tokmak joins host Elad Gil to explain how Netic's autonomous AI platform acts as an intermediary between companies and customers, deploying agents to instantly handle essential services, from emergency home repairs to hospitality to pet care. Melisa describes the complexity of these real-world workloads, which have traditionally relied on large human support teams, and how over 70% of Netic's customers interact first with AI. She also talks about the reasoning behind building a scalable product company rather than an AI roll-up, why she believes robotics will not catch up in these industries in the near future, why she doesn't view large frontier labs as competitive threats, and how private equity's playbook has shifted toward measurable ROI in the AI-era. Plus, why Melisa is optimistic about the impact AI will have on education. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @netic_AI | @melisatokmak Chapters: 00:00 – Melisa Tokmak Introduction 00:32 – What Netic Builds 03:53 – Automating Workflows for Essential Services 06:26 – Building a Service vs. AI Roll-Up 10:38 – AI for the Real World Timeline 12:56 – Can Big Labs Compete? 15:35 – Modern Founder Mindset 19:09 – Screening for Agency 22:25 – Five Year Vision 23:53 – Selling to Slow Industries 27:23 – How Private Equity Approached AI 31:14 – What Excites Melisa About the Future of AI 34:27 – Conclusion

Live July 29, 2026 | Yaron Brook Show(Season 12, Episode 128)War; Missiles; Tariffs; DEA; Fed; AI; Cockroach; Millionaires; Lithium; Milei | Yaron Brook ShowWatch Now: https://youtube.com/live/4hDC05-WIfIIran Fires Missiles. America Runs Low on Weapons. Is the West Ready for the Next War?Iran is becoming more aggressive. America is running short on critical munitions. Tariffs continue to distort the economy. AI innovation faces growing political pressure. Meanwhile, Argentina continues proving that free markets actually work.In this wide-ranging live episode of The Yaron Brook Show, Yaron examines whether the West is prepared for the geopolitical conflicts ahead—and why economic freedom remains the foundation of both prosperity and national security.Topics Covered• Iran and Middle East conflict• Missile defense and military preparedness• Defense technology startups• Anduril and autonomous weapons• U.S. military procurement• Trump's tariffs• Inflation and the Federal Reserve• Artificial Intelligence• Lithium batteries• Javier Milei and Argentina• Capitalism vs statismYaron unpacks Iran's missile strategy, America's defense-industrial weaknesses, emerging defense startups transforming warfare, Trump's tariff policies, inflation and the Federal Reserve, AI regulation, declining millionaire populations in the UK, falling lithium battery costs, and Javier Milei's remarkable economic reforms in Argentina.If you want serious analysis grounded in reason—not partisan talking points—this episode connects today's biggest headlines through the principles of capitalism, individual rights, and long-term thinking.Watch here: https://youtube.com/live/4hDC05-WIfITimestamps00:00 Introduction, travel updates & upcoming events3:08 Jordan Peterson courses & Ayn Rand 06:19 U.S.–Iran tensions escalate10:27 Iran's missile attack explained12:15 Saudi Arabia, Houthis & regional strategy19:21 Why Iran believes it can win20:23 America's missile shortage26:25 The artillery production problem31:40 Why U.S. defense procurement is broken35:25 Defense startups changing modern warfare38:00 Anduril and autonomous fighter aircraft42:19 New air defense technologies44:36 Mach Industries & next-generation weapons47:52 Autonomous naval systems52:10 Venture capital enters defense56:19 Trump's tariffs and economic damage59:48 Can tariffs survive legal challenges?1:01:42 Canada, Brazil & trade wars1:08:32 DEA operations against drug boats1:11:42 Oil prices, inflation & the Federal Reserve1:17:01 Should AI development slow down?1:20:57 India's bizarre cockroach protests1:30:41 Why millionaires are leaving Britain1:33:40 Lithium batteries get dramatically cheaper1:35:53 Javier Milei's economic success in Argentina1:39:51 Final thoughtsLive Audience Questions1:43:46 How do you overcome extreme self-consciousness?1:47:27 What did you think of the Michael Israel interview?1:50:25 Why does Iran's regional influence continue to grow despite its struggling economy?1:52:47 Are comparisons between ICE detention centers and Nazi concentration camps valid?1:55:17 Why is small talk more common in individualistic cultures?1:58:18 Do people underestimate how much economic freedom still exists within today's mixed economies?2:02:43 Why is Objectivism especially valuable for people who have always felt like outsiders?2:04:27 What makes T.A.R.S. such a compelling AI character, and what does it reveal about intelligence, personality, and human values?See pinned comment for more questions. Like this episode?Subscribe, share it with friends, and become a Patreon supporter to access monthly AMAs, exclusive content, and commercial-free audio.#Iran #Israel #MiddleEast #Tariffs #ArtificialIntelligence #MilitaryTechnology #JavierMilei #Economics #ChinaAI #Trump #JDVance  #Objectivism #Capitalism The Yaron Brook Show is Sponsored by[The Ayn Rand Institute](https://www.aynrand.org/starthere)[Energy Talking Points, featuring AlexAI, by Alex Epstein](https://alexepstein.substack.com/)[Express VPN](https://www.expressvpn.com/yaron)[Hendershott Wealth Management](https://www.youtube.com/watch?v=X4lfC...) &(https://hendershottwealth.com/ybs/)[Michael Williams & The Defenders of Capitalism Project](https://www.DefendersOfCapitalism.com)[Support the Show]( / yaronbrookshow )[Sponsor the Show](askyaron@yaronbrookshow.com/)[One-time donation](https://bit.ly/2RZOyJJ)Join the [Yaron Brook Show YouTube channel]( / @yaronbrook )Like what you hear? Like, share, and subscribe to stay updated on new videos and help promote the [Yaron Brook Show](https://bit.ly/3ztPxTx)Continue the discussion by following Yaron on [Twitter](https://bit.ly/3iMGl6z) and [Facebook](https://bit.ly/3vvWDDC )Want to learn more about Ayn Rand and Objectivism? Visit the [Ayn Rand Institute](https://bit.ly/35qoEC3)Become a supporter of this podcast: https://www.spreaker.com/podcast/yaron-brook-show--3276901/support.Yaron is the executive chairman of the Ayn Rand Institute and a world class speaker. He is the coauthor of the national best-seller Free Market Revolution: How Ayn Rand's Ideas Can End Big Government, Equal is Unfair: America's Misguided Fight Against Income Inequality and In Pursuit of Wealth: The Moral Case for Finance. He speaks around the world on a variety of topics including the morality of capitalism, Ayn Rand and her philosophy, finance and economics, and the value of inequality.

What must happen before a business can trust AI agents to detect and resolve operational problems without waiting for human intervention? In this episode of Tech Talks Daily, I speak with Josh Clay, Regional Vice President of Solution Engineering for Dynatrace in the UK, about autonomous operations, AI observability, fragmented telemetry, business outcomes, and the growing pressure to control token and data costs. Josh has spent much of his 11 years at Dynatrace discussing the road toward autonomous operations. The earliest version involved reducing the time organizations spent inside IT war rooms. He remembers calls with 30 or 40 people attempting to establish which team was responsible for an incident. He jokingly calls this the "mean time to innocence." Modern observability reduced many of those investigations from several hours to between 30 and 60 minutes. Agentic AI creates the possibility of going further by identifying a problem, understanding its cause, and resolving it before the customer experience is affected. That ambition also introduces risk. Josh cites Dynatrace research showing that 52% of respondents view security, privacy, and compliance concerns as barriers to AI adoption. He believes many organizations still lack full observability across their existing technology environments, making autonomous agents harder to supervise. Josh shares a warning from Alex Hibbert of Storia Group: AI can amplify existing technology problems. If telemetry is fragmented, data quality is poor, or teams cannot see how services depend on one another, adding autonomous agents may increase the speed and scale of the resulting failure. Trust therefore depends on visibility. Josh describes observability as a control plane for agentic AI because it can show what an agent is doing, why it made a decision, and what happened afterward. Defined guardrails and real time information can give leaders confidence without asking them to surrender control blindly. The adoption figures show how early this work remains. Josh says 50% of businesses have AI operating in limited production use cases, often performing one isolated task. Only 23% describe their deployments as connected across the wider organization. We discuss how observability has progressed beyond technical monitoring. An airport can measure whether technology changes improve e-gate availability and passenger processing times. A bank can examine whether application performance affects mortgage completion rates. These connections allow leaders to measure AI through business results rather than relying entirely on response times and infrastructure metrics. Reliable agents also need suitable data. Dynatrace says AI agents operating with deterministic data can work 12 times more accurately and three times faster while using two and a half times fewer tokens. These remain company findings, but they demonstrate why context and causality can affect cost as well as reliability. Fragmented telemetry creates another barrier. Logs may sit in one platform, front end monitoring in another, and metrics or traces somewhere else. Attempting to reconstruct every relationship for an AI agent can become expensive and difficult. Josh recommends bringing observability data into a connected environment where relationships between services, cloud resources, traces, metrics, and logs are already understood. He also warns against collecting information simply because it exists. Data hoarding increases ingestion costs and can introduce personal information into systems without a clear business need. The conversation then moves toward AI FinOps. Leaders want to know what agents cost, how many tokens they consume, and whether those costs produce a measurable return. Josh describes a Dynatrace proof of concept that identified potential annual savings just below £250,000 within one small environment. That example reinforces a recurring concern. Organizations are racing to place AI into production, then moving to the next project without reviewing whether the previous environment is appropriately sized or financially efficient. Josh hopes companies will develop a more pragmatic view of AI as another enterprise tool. That means establishing agreed methods for deployment, monitoring, cost management, incident response, and measuring business results. Could observability provide the confidence businesses need to move from isolated AI experiments toward autonomous operations? Listen to the episode and share your thoughts with me.

Artificial intelligence is rapidly becoming part of everyday life, from chatbots to autonomous vehicles. In this episode of the OD'ing on Movies Podcast, filmmakers Erin Aine and Kyle Valle discuss their newest micro-horror series, Autonomous, a suspenseful story that explores what happens when technology becomes something we trust without question. Along the way, they reveal how a simple idea evolved into […]

On Friday, July 24, Reuters reported that an OpenAI autonomous artificial intelligence (AI) agent broke out of a contained environment and hacked a popular AI development website. The hack began on July 11 and lasted until July 13, when it was detected by an AI at the targeted company, Hugging Face. OpenAI remained unaware of the incident for days, and the two companies did not communicate directly until July 20, well after Hugging Face had alerted the FBI of an intrusion. Ad-free podcasts are here!Get 20% off your first year of ad-free episodes, exclusive interviews, and deep dives with Tangle's podcast membership!We won!A few weeks back, we asked Tangle readers to support our nomination for the inaugural Newsletter Awards. On Friday, we learned we won the top prize — the People's Choice award — for receiving the most votes among over 100 nominees. Thanks so much for voting for us; every bit of recognition like this helps spread the word about our work. It's a proud day for the entire Tangle community. You can read today's podcast⁠ ⁠⁠here⁠⁠⁠ and today's “Have a nice day” story ⁠here⁠.You can subscribe to Tangle by clicking here or drop something in our tip jar by clicking here. Take the survey: How concerned are you about AI development? Let us know.Our Executive Editor and Founder is Isaac Saul. Our Executive Producer is Jon Lall.This podcast written by: Isaac Saul and audio engineered and edited by Dewey Thomas. Music for the podcast was produced by Diet 75.Our newsletter is edited by Managing Editor Ari Weitzman, Senior Editor Will Kaback, Bailey Saul, Audrey Moorehead, and Carina Pacheco. Hosted on Acast. See acast.com/privacy for more information.

What do Iraq, SpaceX, the EV boom, and autonomous freight have in common?In this episode of Liftoff, Keith sits down with Kevin Damoa , Army combat veteran and founder & CEO of Glīd, to explore the future of logistics and the technology transforming how freight moves between road and rail.Kevin shares how nearly 25 years of logistics experience, including military logistics, SpaceX, and leadership roles across the EV industry, inspired him to tackle one of the biggest challenges in global supply chains: making rail transportation more accessible.We discuss how Glīd is building autonomous vehicles designed to streamline the road-to-rail transition, why the company has focused on building more cost-efficiently, and how Kevin's experiences at SpaceX shaped his approach to culture, innovation, and solving seemingly impossible problems.Kevin also shares lessons on:Building hard tech with limited capital Why culture can make or break a startup The importance of solving customer pain before commercialization How to evaluate risk before launching an MVP The future of autonomous freight and physical AI Why logistics is facing a growing labor and infrastructure challenge What SpaceX taught him about belief, ingenuity, and making the impossible possible From combat logistics to rocket logistics to autonomous freight, this is a conversation about building technology that could fundamentally change how the world moves.Sponsor Info: We are strategic business advisors with decades of leadership experience and a proven track record of driving businesses' growth. We specialize in creating custom-tailored strategies to introduce your company, drive growth, build leadership teams, and ensure companies implement appropriate compensation programs. Our mission is to utilize our expansive network to benefit your company https://www.compass-strategic-advisors.com/Connect with Kevin Damoa: Website: https://www.glidtech.us/ LinkedIn: https://www.linkedin.com/in/kevin-a-damoa-9b514770 Subscribe for more founder insights and hit the bell for notifications! Follow us on our channels for exclusive startup content and behind-the-scenes insights from interviews like this one.Spotify: https://open.spotify.com/show/3cFpLXfYvcUsxvsT9MwyAD?si=f5a14e779777487d Apple Podcasts: https://podcasts.apple.com/ca/podcast/liftoff-with-keith-newman/id1560219589 Substack: https://keithnewman.substack.com/ Newman Media Studios: https://newmanmediastudios.com/ LinkedIn: https://www.linkedin.com/company/liftoffwithkeithWebsite: https://liftoffwithkeith.com/If you enjoyed this episode, don't forget to Like, Subscribe and Share.

Eternal Vitality gut-health testing ends decades of digestive pain and irregularity Anxiety, food allergies, and gut inflammation may be closely connected Dr. Powers builds personalized treatment plans from blood and allergy testing Hormone issues can block weight loss despite regular exercise Hormone replacement, microdosed GLP-1s, low testosterone, and TRT Free, judgment-free consultations with Dr. Powers Ross McCoy joins the Thursday-recorded Friday Free Show Celebrating massive bowel movements after fixing lifelong gut issues Cake's "Italian Leather Sofa" Vacation exhaustion, Colorado travel, and the North Georgia mountains A contaminated water dispenser and a faucet's dangling clear booger Anxiety triggered by every sigh, noise, and reaction from friends Friends who remove embarrassment from gross accidents Florida's dog days and the rush for one final summer memory Maisie watches "MasterChef," plans outfits, and puts Dad to bed Boys refuse to prepare for an eight-day Colorado trip Recognizing your worst traits in your children Max gets "Hamilton" tickets and practices Lafayette's fastest rap Lafayette, LaGrange, and France's role in American independence Ruining excitement by noting "Hamilton" lacks its original cast Attempting Busta Rhymes' fast verse from "Look at Me Now" The inherited accidental-dickhead trait and need to be right Ruining Santa magic with unnecessary observations Brothers show love by relentlessly trolling each other Late-night kickball, pool baseball, and raising double Batmans Max melts down during a 16-3 birthday kickball loss White Claws, edibles, and exhaustion destroy adult kickball effort Solicitors, panhandlers, charity drives, and the power of a firm no Ignoring a Wawa solicitor before learning he recruited blood donors Dodging Girl Scouts, Publix donations, and grocery-store fundraisers Refusing escalating requests from a stranger at Hard Rock Tesla launches robotaxi service in Tampa and Orlando Tesla and Waymo battle for autonomous taxi dominance Personal robotaxis could turn parked cars into small businesses A Tom and Dan robotaxi could earn money while promoting the show Corporate lobbying may prevent owners from operating robotaxis Renting cars, yards, land, parking, and other idle property Turo, Zipcar, and life without personal vehicle ownership Autonomous-vehicle sensors, microwaves, and reheated pizza Russian Circles, Mastodon, and more metal for the show Streamline Mortgage Solutions watches for refinancing savings Jimothy the deformed raccoon becomes an overnight obsession Viral animal trends create merch, AI videos, and rapid burnout Clinton the tiny Jack Russell had Jimothy's spinal condition Cute and disabled dogs make powerful dating accessories Dog wheelchairs, mobility platforms, and skateboard travel in movies Orlando's homeless population increasingly uses e-bikes "Days of Thunder 2" brings Tom Cruise back as Cole Trickle Cole could mentor a young driver in a "Top Gun: Maverick" formula The Mello Yello car returns from a barn for one final race Old-school Cole battles simulators, AI, and modern NASCAR culture An autonomous race car could become the sequel's villain Tom Cruise and Jerry Bruckheimer produce with filming eyed for 2027 Nicole Kidman, Cary Elwes, and John C. Reilly remain unconfirmed Daytona, DeLand, local filming stories, and Tom Cruise's apple crate Honoring Robert Duvall's crew chief in the sequel Banana Ball-style NASCAR with costumes, dancing, and ordinary cars "Top Gun: Maverick" proves predictable stories can still work AI aircraft, data centers, and technology as future movie villains Brad Pitt's alleged plane abuse and estrangement from his children Brooklyn Beckham and Vivian Wilson reject famous family names Rich parents should listen to their children and lead with love "I'm Eight Brad Pitts" as a possible show title Tom Cruise's World Cup appearance draws pointless online outrage Katie Holmes' secret plan to divorce and escape Tom Cruise Scientology, hidden phones, attorneys, and an 11-day divorce settlement Tom Cruise reportedly has little relationship with Suri Fame, nonstop work, and the family cost of extreme success Mr. Rogers, NFL coaches, and absent fathers devoted to their careers Plans to discuss saving AM radio and listener voicemails HittinSkins offers promotional products near Camping World Stadium ### Website: https://tomanddan.com/ App: https://tomanddan.com/app Become a BDM: https://tomanddan.com/registration Merch: https://tomanddan.myshopify.com/ YouTube: https://www.youtube.com/@TomandDanLive Twitch: https://www.twitch.tv/tomanddanlive Facebook: https://www.facebook.com/AMediocreTime Instagram: https://www.instagram.com/tomanddanlive/ X: https://x.com/TomAndDanLive TikTok: https://tiktok.com/@tomanddanshow Reddit: https://reddit.com/r/tomanddan ACT RSS: https://feeds.libsyn.com/61976/rss AMT RSS: https://feeds.libsyn.com/18904/rss