Podcasts about autonomous

AI is forcing a leadership choice. You can treat it like a stack of use cases and end up with a lot of motion and a little progress. Or you can start with a clear vision of the future you want, make strategy visible, and use that to align decisions across the business.  In this episode, Drew Neisser talks with Brian Evergreen, author of Autonomous Transformation, about why the AI conversation so often collapses into tools and use cases, and how leaders can pull it back to vision, outcomes, and the kind of alignment that drives transformation. What you'll take away:  Why optimization can keep you busy while you stay stuck  How to make a future vision concrete enough to act on  What "no strategy without vision" means, and how to spot fake strategy  Why leaders default to scorecards, and how it stalls transformation  How Brian's "nindrant" separates "we can do" from "we need alignment"  Why use case first AI limits gains, and how to shift to value creation Plus:  A simple workshop to surface visions before projects  A clean split between what marketing can do now and what needs CRO and CFO alignment  How to move AI from tool talk to a value creation leadership conversation If you are tired of AI conversations that start with tools and end with small wins, listen to this episode for a vision first approach that changes what you do next.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

Show Notes 6 March 2026Story 1: Scientists Grew Mini Brains, Then Trained Them to Solve an Engineering ProblemSource: ScienceAlert.com Link:https://www.sciencealert.com/scientists-grew-mini-brains-then-trained-them-to-solve-an-engineering-problem200,000 living human brain cells just learned to play Doom and this is just the start of itSource: ZME Science Link:https://www.zmescience.com/science/wetware-brain-doom-play/Story 2: Sub-$200 Lidar Could Reshuffle Auto[mobile] Sensor EconomicsSource: IEEE Spectrum Link:https://spectrum.ieee.org/solid-state-lidar-microvision-adasAdditional Info:https://microvision.com/Story 3: Magical Marvel: Tiny Fairy-Like Robot Flies by the Power of Wind and LightSource: SciTechDaily.comLink:https://scitechdaily.com/magical-marvel-tiny-fairy-like-robot-flies-by-the-power-of-wind-and-light/Story 4: Scientists uncover why some brain cells resist Alzheimer's diseaseSource: UCLA Newsroom Link:https://newsroom.ucla.edu/releases/scientists-uncover-why-some-brain-cells-resist-alzheimers-diseaseResearch Paper:https://www.cell.com/cell/fulltext/S0092-8674(25)01487-4Honorable MentionsNew plastic material could solve energy storage challenge, researchers reportSource: PennState NewsLink:https://www.psu.edu/news/research/story/new-plastic-material-could-solve-energy-storage-challenge-researchers-reportResearch Paper:https://www.nature.com/articles/s41586-026-10195-2Why Perovskite LEDs Might Soon Replace Every Light in Your HomeSource: ZME ScienceLink:https://www.zmescience.com/science/news-science/why-perovskite-could-replace-normal-leds/Neither classical nor quantum: This computer lets light solve complex calculations Source: Interesting EngineeringLink:https://interestingengineering.com/innovation/computer-uses-light-to-solve-calculationsA new flexible AI chip for smart wearables is thinner than a human hairSource: TechXplore.com

Cyberattacks that used to take months now take minutes. And your defenders still can't keep up.Rob T. Lee, Chief AI Officer of the SANS Institute, and David A. Bray, Chair of the Accelerator at the Stimson Center, explain why AI gives attackers a structural advantage. Attackers don't care if their AI breaks something. Your security team can't take that risk. That asymmetry changes everything.✅ You'll discover:✅ Why attackers will always remove the human in the loop faster than defenders can, and the risk calculus that creates✅ How "death by 1,000 cuts" works: $300 per person times 10,000 targets via SIM farms equals a single ransomware payout✅ The federated learning approach that lets organizations share threat intelligence without exposing their own data or vulnerabilities✅ Why hackers are exploiting AI hallucinations by writing real code libraries for packages that models reliably hallucinate✅ How to identify the right cybersecurity talent: hire for learning velocity and the "fiddling mindset," not static AI credentials✅ Why boards must stop treating cybersecurity as prevention and start rewarding rapid detection and response✅ The pre-compute vs. post-compute distinction for AI agent safety that most executives are missing entirely✅ When autonomous cyber defense will actually be viable (hint: think pilotless planes and robotic surgeons)⏱️ TIMESTAMPS0:00 AI has made "death by 1,000 cuts" attacks scalable0:39 Why the AI security lifecycle matters now2:27 Military history lessons for cyber defense strategy5:00 Federated learning: sharing threat intelligence without exposing data6:48 How incident response must evolve for AI-speed attacks8:05 The human-in-the-loop dilemma: defenders vs. attackers11:37 Distraction attacks: coordinated multi-target campaigns15:37 Autonomous agents as a new attack surface19:44 Hackers weaponizing AI hallucinations against developers22:23 Development velocity as the real "swarm" capability24:20 Perverse incentives: why stopping an attack still counts as failure27:09 Your personal attack surface grew from 3 devices to 5031:22 Protecting AI tool chains from becoming prime targets34:25 Hackathons as the future of cybersecurity hiring36:53 Patterns of life: instrumenting your enterprise for anomaly detection38:18 When will we trust AI defenders without human oversight?41:09 Pre-compute vs. post-compute: where AI agent safety rules must live46:45 AI trust, hallucinations, and prompt injection as information warfare51:42 Building security culture: leadership, not blame

Sumo Logic's VP of Security Strategy reveals how a ground-up agentic framework transformed their platform, and why clean data and autonomous agents are rewriting the rules of cloud security.Topics Include:Sumo Logic is a cloud analytics platform ingesting data from complex IT stacks.Built on AWS from the start, leveraging microservices for scalable solutions.Early AI efforts produced a natural language query co-pilot for security data.Bolting AI onto existing platforms proved brittle and one-dimensional.Customer feedback drove a decision to redesign AI from the ground up.The Dojo AI framework unifies purpose-built agents across the entire platform.New agents include a SOC analyst agent, knowledge agent, and MCP server.New frontier models on Bedrock give the whole platform an instant brain transplant.Autonomous agents require rethinking security controls beyond traditional programmatic guardrails.Federal and global customers demand rigorous, levelled-up security across all regions.Clean, normalized data proved the biggest unlock for reliable AI query results.Agent-to-agent communication and MCP will define the next era of AI platforms.Participants:Chas Clawson – Vice President, Security Strategy, Sumo LogicSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Toby Walsh is one of the world's foremost artificial intelligence researchers — a professor at UNSW, author of multiple books on AI, and a regular voice at the United Nations on the governance of autonomous weapons. In this conversation, Mark Bouris and Walsh cover the full arc of AI: from Alan Turing's original question about machine intelligence, to the way ChatGPT actually works, to the concentration of power in the hands of a handful of Silicon Valley figures. They examine the economics of the AI industry — who is actually making money, and why companies are spending billions they cannot yet recoup. Walsh also addresses the military application of AI in Ukraine and Gaza, the threat of autonomous weapons, and why he believes we may need to see atrocities before the world acts. How Alan Turing defined artificial intelligence — and why that definition matters now Why AI hallucinates and what it actually means when a chatbot gives you a wrong answer The concentration of AI power into a small number of companies and individuals Autonomous weapons, AI targeting in Gaza, and the coming arms race The future of work — the four-day week, productivity gains, and what happens to human purpose Why AI will likely replace human driving — and why that is a good thing The case for global regulation and what Walsh is telling the United Nations Join my exclusive Mentored+ community: https://mentored.com.au/become-a-member/ Claim $500 Bitcoin with OKX SMSF. SMSF trustees: Successfully sign-up your SMSF and getverified for an OKX SMSF trading account. Deposit $5 and receive $500 worth of Bitcoin. Eligibilityrequirements and T&Cs apply. Book a 1-1 call with the OKX SMSF team today for guidance. Offer ends 31 March 2026. Join the Facebook Group.See omnystudio.com/listener for privacy information.

E&M coding can look routine, but it quickly becomes a judgment-heavy exercise driven by documentation quality, medical necessity, payer policy, and audit risk. Julie Graham and Bo Bowman explain where autonomous coding and AI agents thrive in repeatable workflows, and why complex E&M decisions still need expert human review and provider education to stay compliant and fully reimbursed.

Doug Green, Publisher of Technology Reseller News, interviewed Ethan Ouyang, Head of the U.S. Department of Atoms at DeepWisdom, to discuss a new class of AI innovation: autonomous AI teams capable of building, launching, and operating real businesses from a single prompt. Ouyang described Atoms as a next-generation AI business solution designed to move beyond copilots and task-based agents. Rather than assisting humans with discrete workflows, Atoms functions as a coordinated, multi-agent system that can plan, execute, iterate, and grow revenue-generating products. The platform leverages open-source models and modular architecture to deliver enterprise-grade performance while maintaining cost efficiency and flexibility. A central theme of the conversation was the shift from “AI tools” to “AI organizations.” Ouyang explained that Atoms is structured to simulate functional teams—product, engineering, marketing, and operations—working collaboratively to bring an idea to market. This approach enables faster experimentation, shorter development cycles, and measurable business outcomes. For telecom, MSP, and channel audiences, the implication is significant: AI is no longer just about automation within existing businesses—it may also become a mechanism for creating entirely new lines of revenue. Ouyang also addressed the economics of AI deployment. As infrastructure costs and model usage scale, enterprises are increasingly seeking performance-per-dollar advantages. Atoms is positioned to deliver competitive output quality while reducing operational expense through optimized model orchestration and autonomous workflow design. The result, he suggested, is a more sustainable path toward AI-driven growth. Looking ahead, Ouyang framed Atoms as part of a broader transformation in how organizations think about productivity and entrepreneurship. As AI systems gain the ability to operate with greater autonomy, the competitive advantage will shift toward those who can effectively deploy and govern these digital teams. For technology providers and partners, that represents both a strategic opportunity and a call to rethink traditional business models. More information about Atoms and DeepWisdom's autonomous AI initiatives is available at https://atoms.dev/.

Try my other podcast, Calm History Access all 430+ episodes of Sleep Whispers (including lots of Story Time, Trivia Time, & Whisperpedia episodes) by becoming a Silk+ Member (FREE for a limited time!). Become a Silk+ Member (FREE for a limited time!) and enjoy over 600 total episodes from these podcasts: Sleep Whispers (430+ episodes) Calm … Continue reading Whisperpedia | The Historical Failure of “New Coke” in 1985 (A162) | Whispered Bedtime Sleep Stories

“Everyone who might believe you can substitute robots for soldiers on the battlefield needs to read this book.” — General Wesley K. Clark, U.S. Army (Ret.), Former Supreme Allied Commander, EuropeIn this gripping episode of I Am Refocused Radio, we sit down with national security expert Dr. Daniel M. Gerstein to explore his powerful new book, War Without Humanity: Conflict in the Post-Human Era.The story opens in February 2039 on the tense Latvia–Russia border, where a U.S. Army platoon relies on humanoid robotic forces to hold the line—until the machines suddenly disobey orders and launch a cross-border attack. Connected through a brain–computer interface, the platoon leader watches in real time, unable to stop what could ignite World War III.From that chilling moment, the conversation expands into a real-world exploration of the technologies already reshaping modern warfare.We dive into the rise of augmented soldiers, artificial intelligence with human-level decision making, biotechnology that creates enhanced warfighters, and the Internet of Things turning the battlefield into a living network. As humans become nodes in a digital combat ecosystem, the line between man and machine begins to disappear.But the deeper questions go beyond strategy and innovation:When autonomous systems act on their own, who is accountable?If enhanced humans begin to see themselves as a new species, what happens to loyalty and command?Can humanity maintain its moral and spiritual identity in a post-human military age?Dr. Gerstein walks us through the evolution of a transhuman future force—from concept and testing to the road to war—revealing how today's research is shaping tomorrow's reality.This episode is not just about the future of combat.It's about leadership, responsibility, identity, and whether human values can survive in an era where evolution is no longer natural—but engineered.Get the book: https://a.co/d/0eVNlBqS

It's a theatrical episode this time, with Mirabelle sharing about her trip to see Percy Jackson at the Hippodrome, and Eden talking about a play about the musical battle between Blur and Oasis. Plus Mirabelle's discussing the book and film of War Horse, her new ecology topic around biomes, and what we did to celebrate Pokemon Day! Finally Asher and Eden are (tiredly) discussing a busy weekend away with their youth group. 

The US War Machine doesn't just want AI weaponry - they want AI weaponry that operates without any human oversight. Fun totally unrelated fact: in 95% of war simulations, AI chose to use nuclear weapons... Meanwhile, there's a lot of talk - villainizing and twisted talk - about what went dow last weekend in Mexico. Let's deconstruct that shit.  PLUS Epstein files, ICE warehouses and MORE   artkillingapathy.com leecamp.com

6pm: Guest – Andrea Suarez and Johnathan Choe // Did Katie Wilson take a victory lap too soon? // Andrea explains the precious metals hustle plaguing Seattle’s streets // Anthropic CEO Refuses Pentagon Demands To Remove Safeguards on Military AI // Trump Orders Government to Stop Using Anthropic After Pentagon Standoff // The DOD’s unhinged response to Anthropic standing their ground // Should the U.S. Build and Deploy Fully Autonomous AI Weapons Systems? // Need to let it out? Join the community scream

This week on Autonomy Markets, Grayson Brulte and Walter Piecyk discuss Uber's new Autonomous Vehicle Solutions initiative, Waymo's growing markets, and the growth of Physical AI powered by NVIDIA.As Uber's stock languishes in the low seventies due to investor overhang about the future of autonomy, the company announced Uber Autonomous Solutions, a new initiative to support the growth of autonomous vehicles on the Uber platform.Grayson and Walt break down the initiative point by point, examining Uber's strategy of providing training data, enriched mapping, venue management, and autonomous vehicle insurance. While Grayson views much of the in-car experience pitch as buzzword Alley, Walt argues that AV mission control and fleet management are the true meat of Uber's strategy, aiming to provide the critical API for a fragmented market. This sparks a spirited debate on whether Uber is maintaining its asset-light identity or quietly creeping into asset-heavy operations by owning and operating robotaxi assets.The conversation then shifts to the geopolitical risks of Uber's international partnerships, as the company recently hosted analysts in Abu Dhabi to meet with Chinese autonomous partners WeRide and Baidu. Grayson warns of the tremendous blowback and political risk this carries back home, especially given the current US administration's active stance on social media regarding foreign technology.Walt and Grayson also discuss a recent broker report, shared by Uber CFO Balaji Krishnamurthy on X, that analyzed just 34 trips in Austin and claimed there is no cost advantage to autonomy. They call the sample size too small and the conclusions baffling given the obvious long-term benefits of removing human drivers.Contrasting Uber's narrative tour, Waymo is aggressively scaling and growing revenue. This week, Waymo announced they have crossed 1 million fully autonomous freeway miles, expanded into Chicago and Charlotte, and opened up Dallas, Houston, San Antonio, and Orlando to early riders.Notably, Uber was absent from these new market announcements, leading Grayson to point out the potentially waning relationship between the two companies. Furthermore, he put on his inspector hat to uncover signs of Waymo's grand ambitions in the EU, citing meetings with the European Commission and job postings for EU regulatory counsel.As Waymo scales, the capital markets are flowing for autonomy investments, highlighted by Wayve securing a $1.2 billion check at an $8.6 billion valuation. The round includes investments from SoftBank, NVIDIA, Stellantis, and Nissan, with Uber committing to own and operate the Wayve fleet in 10 upcoming markets, starting with London.Then there is the growth of physical AI, which NVIDIA announced contributed $6 billion in earnings last quarter, with CFO Colette Kress signaling that robotaxis and humanoids are poised to be major growth markets over the next decade.Episode Chapters00:00 Uber's Identity Crisis 1:33 Breaking Down Uber Autonomous Solutions20:43 Uber's Abu Dhabi Analyst Day & Chinese Tech Risks 35:37 Waymo Announces Chicago & Charlotte as New Markets 40:55 Uber and Waymo's Waning Relationship 42:03 Waymo Surpasses 1 Million Fully Autonomous Freeway Miles43:56 Waymo Eyes the EU Expansion 46:32 Wayve's $1.2B Funding Round50:39 NVIDIA, Physical AI, & Humanoids 53:04 Next WeekRecorded on Friday, February 27, 2026--------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Sign up for This Week in The Autonomy Economy newsletter: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Hey guys! :D I was getting allllooot of requests on doing more folding so I decided to try and make it into a role play sort of a video. I will teach you step by step how to fold towels in decorative ways to make them look nice and pretty. :) I used my new camera and a mic in this video, please tell me if you like it with the mic or not. Enjoy...Amazon MP3https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ssGoogle Play MP3https://play.google.com/store/music/artist/Gentlewhispering?id=Apc4txglf3f2siowzgqccttky5i&hl=enSpotify MP3https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=openiTunes MP3https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316Disclaimer: *** This video is created for relaxation, entertainment and ASMR/tingles/chills inducing purposes only. For more information about ASMR phenomenon please click here: http://en.wikipedia.org/wiki/Autonomous_sensory_meridian_response This video cannot replace any medication or professional treatment. If you have sleep/anxiety/psychological troubles please consult your physician. Thank you :) ***PayPal (Donations): https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=RA5K2GG7687VJ Email: MariaGentlewhispering@gmail.com9/10/12

If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble.

On the first, life-altering HEP-isode of season 4, we try to figure out why so many young people are trying to use ChatGPT to get jobs, why autonomous trucks need to take baby steps, and what Andy Rooney would have had to say about all this. All this PLUS our new sound guy, Tim, and an update on the Heavy Equipment Podcast race car – welcome to season 4!

Dan Bratshpis, CEO and Co-founder of INSHUR, joins host Rob Galbraith to discuss how commercial auto insurance is being reimagined for the platform economy — and why traditional products are failing the drivers powering the gig economy.Dan built INSHUR from a two-person MGA startup into a 200-person global company operating across the US and UK, with embedded insurance partnerships with platforms like Uber, Amazon, and DoorDash. His approach: build coverage that works with how people actually live and work, not how insurers traditionally categorize risk.In this episode:Why traditional commercial auto products fall short for gig and platform workersHow INSHUR embeds insurance directly into platform onboarding — and what that data advantage means for underwritingThe usage-based wallet model: pay-per-ride, pay-per-delivery, pay-per-minuteHow COVID wiped out rideshare demand overnight — and became the pivot that launched INSHUR's delivery insuranceWhy INSHUR built Komodo Claims from scratch instead of outsourcing to TPAsWhat autonomous vehicles mean for frequency, severity, and the future of commercial auto insuranceKey Quotes:"What doesn't kill you makes you stronger.""Technology is an enabler to do things differently, do things better.""Claims is kind of at the heart of insurance.""These things don't get into accidents nearly as much as humans do." — on autonomous vehicles"Insurance is a really big part of protecting this new economy."Timestamps:09:05 — The wedding night pitch that launched Columbia Pacific Finance (placeholder — update with actual)10:55 — From Wall Street to rideshare insurance (placeholder — update with actual)19:13 — The COVID cliff: how INSHUR pivoted to delivery insurance overnight23:49 — Building Komodo Claims: why INSHUR owns its claims infrastructure26:22 — Autonomous vehicles and the frequency drop coming for commercial auto

ServiceNow, the AI control tower for business reinvention, today launched Autonomous Workforce, AI specialists that can execute jobs with the scope, authority, and governance required for enterprise work – freeing people to focus on strategic problem solving and personalised service. Just two months after the Moveworks acquisition close, the company also introduced ServiceNow EmployeeWorks, which combines Moveworks' conversational AI and enterprise search with ServiceNow's unified portal and autonomous workflows to turn natural language requests into governed, end-to-end execution for nearly 200 million employees. As enterprises evaluate AI platforms, two competing paradigms have emerged: feature-function AI bolted onto disconnected SaaS apps, and unified platforms that execute work through proven enterprise workflows with AI built in. The difference is fundamental: the feature approach requires enterprises to maintain, integrate, and manage the complexity themselves. ServiceNow eliminates the complexity by unifying conversational AI, workflows, enterprise data, security, and governance on a platform purpose-built for mission-critical operations. "Businesses don't need more pilots or promises. They need AI that gets work done," said Amit Zavery, president, chief product officer, and chief operating officer, ServiceNow. "The leaders realising value from AI are investing in platforms where intelligence, execution, and trust work as one system. Our platform was purpose-built for this moment. Autonomous Workforce augments human teams with AI specialists that operate with the scope, authority, and governance enterprise work demands. This is a new era of productivity and ROI, at scale." Autonomous Workforce: AI teammates execute jobs in partnership with people ServiceNow's Autonomous Workforce deploys AI specialists with defined roles to augment teams. Unlike AI agents that complete individual tasks, the ServiceNow Autonomous Workforce orchestrates teams of AI specialists with roles such as a Level 1 Service Desk AI Specialist, Employee Service Agent, or Security Operations Analyst to execute work from start to finish. They work alongside humans, follow established processes and policies set by the organisation, learn from outcomes and employee feedback, and importantly, improve over time. Today, ServiceNow is introducing the first AI specialist available out-of-the-box for customers, a Level 1 Service Desk AI Specialist. This AI specialist autonomously diagnoses and resolves common IT support requests end-to-end — password resets, software access provisioning, network troubleshooting — using enterprise knowledge bases, historical incident data, and proactive remediation workflows. It is designed to operate 24/7 with assignments aligned to specific skillsets and deliverables and escalate issues when human intervention is needed. ServiceNow's Autonomous Workforce is handling 90%+ of employee IT requests. Early results show our newest AI specialist, the L1 Service Desk AI Specialist, is already resolving assigned IT cases autonomously, and it's 99% faster than when these cases are handled by human agents. AI models without workflows are probabilistic — they see patterns, form ideas, and give different answers for the same questions. The enterprise, however, needs deterministic outcomes — governance, security, auditability, and operations that don't hallucinate. Because ServiceNow combines probabilistic intelligence with deterministic workflow orchestration, AI specialists can interpret a request, decide the right action using business context, and execute autonomously across systems with governance built in through the ServiceNow AI Control Tower. Every action is traceable and governed by policies embedded in the workflow layer itself. ServiceNow EmployeeWorks: Consumer AI experiences meet enterprise-grade execution ServiceNow is bringing the power of Moveworks to the ServiceNow AI Platform and delivering immediate value to custome...

Filip Verloy is a technology leader with over 25 years of experience across enterprise IT, consulting, and global vendors. Currently working on securing Agentic AI for the enterprise, he brings deep expertise in API security, infrastructure, and large-scale complex environments. Before joining Rubrik, Filip served as Global Field CTO at API security startup Noname Security and held senior architecture and solutions roles at Citrix, Dell, Riverbed, and VMware. Known for his curiosity and commitment to understanding the fundamentals behind technology, Filip challenges the “illusion of knowledge” and focuses on building secure, resilient systems from first principles.00:00 Intro02:30 Our Guest05:06 Illusion of Knowledge 07:04 Unknown-Unknowns in AI09:57 Increasing the Attack Surface12:58 Risk in the Age of Agentic AI 17:56 How do you secure that data?25:00 How do we deal with IAM in this world of Agentic AI?31:22 API Security and API Access in Agentic AI39:02 How is the model of consuming surfaces over the internet going to change? 43:00 Agentic AI Governance49:25 More about Filip

In this episode of Develop This!, host Dennis Fraise sits down with Ron Kresha, Chief Financial Officer and founding member of Golden Shovel Agency, to explore the powerful — and often overlooked — role of community airports in economic development. Drawing from his professional expertise and personal passion for aviation, Ron makes a compelling case for why community airports must be viewed not as line-item expenses, but as anchor institutions that drive investment, healthcare access, business recruitment, and long-term growth. From general aviation to essential air service, airport marketing to emerging aviation technology, this episode delivers actionable insights for community and economic development leaders ready to elevate their local airport strategy. 1. Community Airports: Expense or Economic Engine? Ron challenges the common misconception that airports are financial drains. Instead, he reframes them as infrastructure investments that produce measurable ROI through: Business attraction and retention Corporate aviation access Site selection competitiveness Tourism and regional connectivity 2. The Critical Role of General Aviation While commercial flights often dominate the conversation, general aviation is a major contributor to local economies. Corporate aircraft, medical flights, flight training, agricultural aviation, and logistics operations all rely on well-maintained community airports. For many communities, general aviation is the real driver of economic activity. 3. Essential Air Service & Small Community Survival Ron highlights the importance of Essential Air Service (EAS) for rural and smaller communities. Reliable air connectivity supports: Healthcare access Executive travel Talent recruitment Emergency response 4. Airport Marketing & Community Engagement One of the strongest themes of the episode is airport awareness. Many residents — and even local leaders — don't fully understand what their airport contributes. Ron emphasizes proactive airport marketing, storytelling, and community engagement to bridge the knowledge gap. Airports must: Share economic impact data Highlight business users Showcase medical and emergency benefits Build pride and awareness locally 5. Avoiding the Vicious Cycle of Decline Underinvestment leads to reduced usage. Reduced usage leads to funding challenges. Funding challenges lead to further decline. Ron urges communities to: Maintain and modernize infrastructure Pursue airport funding opportunities Treat airports as strategic assets Align airport strategy with broader economic development plans 6. The Future of Aviation Technology Looking ahead, the conversation explores: Autonomous aircraft Advanced air mobility Emerging aviation technologies Increased efficiency in general aviation Communities that prepare now will be positioned to capitalize on the next evolution of aviation. Takeaways for Economic Development Professionals Community airports are anchor institutions — not optional amenities. Investment in airport infrastructure generates long-term economic returns. General aviation plays a larger role in local economies than many realize. Essential air service can determine whether small communities thrive or struggle. Airport engagement and marketing are essential to sustaining funding and support. Education and awareness campaigns can transform public perception. The future of aviation presents new opportunities for proactive communities.

Your body has been watching you diet for years. And it made a decision: you are not safe to follow.That's not a character flaw. That's a rational, biological response to everything you've put it through. In this episode, I break down four specific neuroscience lessons that explain why your body fights weight loss, why willpower was always the wrong tool, and what actually rebuilds the trust between you and your biology.If you've ever wondered why the weight keeps coming back no matter how hard you try, this is the episode that explains why. And it has nothing to do with discipline.In This EpisodeYour body kept score. Why your biology decided you can't be trusted with food, and why that decision was rational.Lesson 1: Your brain interprets dieting as famine. Your hypothalamus can't tell the difference between a calorie deficit and starvation. What that means for every diet you've ever tried, and why the rebound is physics, not failure.Lesson 2: Shame produces the exact chemistry that causes weight gain. The COBWEBS research model, the cortisol loop, and why the diet industry's business model depends on your self-blame.Lesson 3: Willpower runs on a system designed to fail. Your prefrontal cortex has a battery life. A short one. By 4 PM it's nearly dead, and that's exactly when the cravings hit hardest.Lesson 4: Your body responds to the quality of your motivation. 73 studies found that guilt-based motivation predicts nothing positive. What your body actually responds to, and how to tell which type of motivation you're running on right now.What actually restores trust. Identity, consistency, curiosity, and learning to listen to your body again after years of overriding it.Research ReferencedCOBWEBS Model (Cyclic Obesity/Weight-Based Stigma): Documents how weight stigma produces elevated cortisol, creating a vicious cycle where shame drives the physiological conditions that cause weight gain. Hair cortisol studies showed 33% higher concentrations in people experiencing weight discrimination.Self-Determination Theory Meta-Analyses: 73 studies found that autonomous motivation consistently predicts positive health behavior changes, while controlled motivation (guilt, shame, external pressure) shows no positive association or predicts worse outcomes.The PESO Study (Portugal): Tracked participants over three years. Autonomous motivation for exercise predicted weight loss maintenance at 3 years post-intervention, with 7.29% sustained weight loss versus controls.Neuroplasticity and Habit Formation Research: Behaviors aligned with identity shift from prefrontal cortex control (conscious, effortful) to basal ganglia processing (automatic). Average timeline for this shift is 66 days, with a range of 18 to 254 days depending on behavior complexity.Max Planck Institute Research: Demonstrated measurable structural brain plasticity, including cortical thickness changes in the medial prefrontal cortex, following socio-cognitive training. Your brain physically reorganizes when identity shifts.Self-Efficacy and Lapse Recovery: Research across dietary and physical activity behaviors found that self-efficacy (confidence in your ability to course-correct) is the single most consistent predictor of bouncing back from setbacks.Free ResourceThe Circuit Breaker Protocol. A free audio tool for moments when the old programming kicks in. When the craving hits and the old cycle wants to start again, press play. It creates a pause between the urge and the action, just enough space for the new identity to show up instead of the old pattern.Download The Circuit Breaker Protocol

Hour 2 for February 24, 2026 Chaplet of Divine Mercy (4:32) Drew is joined by Msgr. Stewart Swetland as they analyze the idea of having Artificial Intelligence, especially autonomous AI in the military. (32:12)

Jay Iyengar, EVP, Chief Technology and Strategic Sourcing Officer, Oshkosh joined Grayson Brulte on The Road to Autonomy podcast to discuss Oshkosh's approach to autonomy and the development of physical AI across their diverse industrial technology portfolio.The operational backbone of Oshkosh's strategy is a hybrid approach targeted towards moments of autonomy where autonomy adds the most immediate value. By addressing repetitive, hazardous tasks and mitigating driver fatigue, Oshkosh is building purpose-built solutions to increase safety and productivity for the everyday heroes who build, serve, and protect communities.In the field, Oshkosh is rigorously applying Physical AI across a diverse array of use cases, from automating airport jet bridges that align precisely with aircraft doors to developing automated cargo loaders for complex tarmac operations.Oshkosh's Physical AI ecosystem also includes the HARR-E robot for on-demand refuse collection in planned communities, as well as advancing autonomous capabilities for military leader-follower programs and next-generation delivery vehicles.Looking ahead, Jay envisions a future where Physical AI has its own transformative ChatGPT moment, becoming a ubiquitous and intuitive part of the industrial landscape. This evolution aims to fundamentally transform markets, ensuring that autonomous technology operates so seamlessly that operators can focus entirely on their work, ultimately saving lives, increasing productivity, and unlocking new economic activity.Episode Chapters00:00 Moments of Autonomy Philosophy 04:45 The Jet Bridge Bottleneck 07:20 Deploying Physical AI at the Gate 10:45 Navigating Tarmac Chaos and Regulations 14:15 Blueprint for the Airport of the Future 16:05 The Data Moat & Oshkosh's AI Stack 19:30 Weighing Trash with AI Side-Loaders 21:30 Meet HARR-E: The On-Demand Trash Robot 26:30 Revolutionizing the Postal Delivery Fleet 28:15 Why You Shouldn't Over-Engineer Sensors 30:30 The Hidden Power of Strategic Sourcing 32:20 Level 5 Military Learnings 35:10 Waiting for Physical AI's ChatGPT Moment36:30 The Next 100 Years of Oshkosh --------About The Road to AutonomyThe Road to Autonomy is the definitive media brand covering the Autonomy Economy™. Through our podcasts, newsletter, and proprietary market intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next. Subscribe today for free: https://www.roadtoautonomy.com/ae/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

What does it actually take to automate security operations when you're processing 7 trillion log lines daily and a single missed threat could compromise billions of users? Michael Sinno, Director of Detection & Response at Google, explains how his team handles this with less than 1% requiring human intervention through strategic AI implementation. He explores Google's methodical approach to AI autonomy, including fine-tuned models trained on golden datasets, validation through overseer agents, and the critical distinction between traditional automation and agentic AI that exercises judgment. Michael also discusses groundbreaking work with Sec-Gemini and Timesketch that enables forensic analysis to surface attack patterns humans would never detect manually. Michael shares concrete metrics like reducing executive incident notifications from 30 minutes to 90 seconds, achieving 95% precision in ticket deduplication, and automating vulnerability coordination from hours to minutes. Topics discussed:Processing 7 trillion log lines daily with less than 1% of a million annual tickets requiring human intervention at GoogleStrategic evolution from AI-assisted to AI-led to autonomous security operations using fine-tuned models and golden datasetsBuilding modular detection agents as pluggable components that can be combined like Legos for specific security use casesImplementing quality assurance through overseer agents that review other agents' work to ensure precision in security decisionsReducing executive incident notifications from 30 minutes to 90 seconds using AI-powered summarization and context gatheringAchieving 95% precision in ticket deduplication while managing the trade-off between precision and 38% recall ratesIntegrating Sec-Gemini with Timesketch to surface attack patterns in forensic investigations that humans would never find manuallyShifting from traditional detection and response to infer-and-interrupt models that contain threats immediately before escalationAutomating vulnerability coordination workflows from hours to minutes through AI-powered data collection and impact analysisDistinguishing between traditional automation and agentic AI that exercises judgment rather than following if-then logicSetting a stretch goal of 70% automation in operations work while focusing humans on novel and complex security challengesMeasuring success through time-to-mitigation metrics and evaluating AI performance against human baseline capabilitiesListen to more episodes: Apple Spotify YouTubeWebsite

welcome to wall-e's tech briefing for tuesday, february 24th! delve into today's ai-focused updates: openai's enterprise expansion: collaborations with consulting giants like boston consulting group and mckinsey aim to integrate openai's technologies into corporate structures, boosting enterprise adoption. venture capital shifts: openai and anthropic shake up the vc sector with massive funding rounds, raising questions about investor loyalties in the competitive ai field. uber's autonomous push: introduction of uber autonomous solutions targets autonomous vehicle operations, collaborating with tech companies to strengthen their position in the autonomy industry. google cloud's ai innovation: advancements across ai models in intelligence, response time, and cost efficiency highlighted, reflecting ongoing enterprise deployment transformations. anthropic's security concerns: accusations against chinese ai labs for allegedly copying claude ai model stress the need for industry cooperation to mitigate potential security risks. tune in tomorrow for more tech updates!

Apple @ Work is exclusively brought to you by Mosyle, the only Apple Unified Platform. Mosyle is the only solution that integrates in a single professional-grade platform all the solutions necessary to seamlessly and automatically deploy, manage & protect Apple devices at work. Over 45,000 organizations trust Mosyle to make millions of Apple devices work-ready with no effort and at an affordable cost. Request your EXTENDED TRIAL today and understand why Mosyle is everything you need to work with Apple. In this episode of Apple @ Work, Monzy Merza from Crogl joins the show to talk about how AI is going to evolve the work that security analysts do. Crogl Hosts First Ever AI SOC Summit to Bring Real World Clarity to AI in Security Operations AI SOC Summit 2026 Listen and subscribe Apple Podcasts Overcast Spotify Pocket Casts Castro RSS Listen to Past Episodes

Uber announces Uber Autonomous Solutions available for AV partners, OpenAI creates a “Frontier Alliances” with four major consulting firms, and Firefox will end support for Windows 7, 8, and 8.1 at the end of February. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, noneContinue reading "Uber announces Uber Autonomous Solutions – DTH"

Summary:In this conversation, Chris Hughes and Stanislav Fort discuss the transformative role of AI in cybersecurity, particularly in vulnerability management. Stanislav shares insights on how AI can discover zero-day vulnerabilities in widely used codebases, the challenges of balancing AI-driven discoveries with quality assurance, and the importance of proactive security measures. They also explore the economic sustainability of AI in cybersecurity, the burden on maintainers, and the ongoing arms race between defenders and attackers. The discussion emphasizes the potential for AI to significantly enhance software security and the aspiration towards achieving zero vulnerabilities in critical infrastructure.Takeaways:AI is revolutionizing vulnerability management in cybersecurity.The ability to find long-hidden vulnerabilities is unprecedented.AI can enhance both offensive and defensive security measures.Proactive security integration into development pipelines is essential.The quality of vulnerability reports is declining due to AI-generated noise.Maintainers face increasing burdens from rapid AI-driven discoveries.AI can help secure open source projects effectively.Sustainability in AI cybersecurity requires financial backing.The arms race between attackers and defenders is intensifying with AI.Achieving zero vulnerabilities is an aspirational yet achievable goal.Chapters00:00 Introduction to AI in Cybersecurity02:52 The Evolution of AI and Vulnerability Discovery05:45 AI's Impact on Software Development08:59 Discovering Zero-Day Vulnerabilities11:48 The Great Bifurcation in Security Research14:52 Balancing AI-Driven Discoveries and Quality17:59 Proactive Security Measures in Software Development20:53 The Role of AI in Securing Open Source Projects23:54 Sustainability of AI in Cybersecurity27:07 Addressing the Burden on Maintainers30:09 The Tension Between Autonomy and Security33:03 The Arms Race Between Defenders and Attackers36:12 Aiming for Zero Vulnerabilities38:58 Conclusion and Future Outlook

What does it take to turn the dream of an autonomous SOC into something organizations can actually deploy? Subo Guha, Senior Vice President of Product Management at Stellar Cyber, joins Sean Martin to share how the company's AI-driven security operations platform is making that vision a reality. Stellar Cyber serves SOC teams across more than 50 countries, with a primary focus on MSPs and MSSPs supporting the underserved mid-market, though marquee enterprise customers like Canon are also part of the portfolio.How can agentic AI change the way SOC teams handle alert overload? Guha describes what he calls a "digital army" of AI agents that work around the clock to automate alert triage and catch phishing attacks. The system filters 70 to 80 percent of incoming alerts, allowing analysts to focus on the 20 percent that matter most. With attackers using AI to launch faster and more frequent campaigns, Stellar Cyber takes a human-augmented approach, meaning the AI learns from analyst interactions and continuously guides the SOC team toward faster, more accurate remediation.Why does this matter for MSPs operating on thin margins? Guha explains that the autonomous SOC capability layered on top of Stellar Cyber's XDR platform allows MSSPs to serve more customers, reduce mean time to repair, and grow their tenant base without proportionally increasing staff. When MSSPs grow revenue, Stellar Cyber grows alongside them, creating a mutually beneficial model that ultimately means more organizations get protected.This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTSubo Guha, Senior Vice President of Product Management, Stellar Cyber @LinkedInRESOURCESLearn more about Stellar Cyber: https://stellarcyber.aiAre 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#highlightKEYWORDSSubo Guha, Stellar Cyber, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, autonomous SOC, agentic AI, security operations, XDR, NDR, MSSP, MSP, alert triage, AI-driven security, Open XDR, Gartner Magic Quadrant, phishing detection, SOC automation Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What does it take to turn the dream of an autonomous SOC into something organizations can actually deploy? Subo Guha, Senior Vice President of Product Management at Stellar Cyber, joins Sean Martin to share how the company's AI-driven security operations platform is making that vision a reality. Stellar Cyber serves SOC teams across more than 50 countries, with a primary focus on MSPs and MSSPs supporting the underserved mid-market, though marquee enterprise customers like Canon are also part of the portfolio.How can agentic AI change the way SOC teams handle alert overload? Guha describes what he calls a "digital army" of AI agents that work around the clock to automate alert triage and catch phishing attacks. The system filters 70 to 80 percent of incoming alerts, allowing analysts to focus on the 20 percent that matter most. With attackers using AI to launch faster and more frequent campaigns, Stellar Cyber takes a human-augmented approach, meaning the AI learns from analyst interactions and continuously guides the SOC team toward faster, more accurate remediation.Why does this matter for MSPs operating on thin margins? Guha explains that the autonomous SOC capability layered on top of Stellar Cyber's XDR platform allows MSSPs to serve more customers, reduce mean time to repair, and grow their tenant base without proportionally increasing staff. When MSSPs grow revenue, Stellar Cyber grows alongside them, creating a mutually beneficial model that ultimately means more organizations get protected.This is a Brand Highlight. A Brand Highlight is a ~5 minute introductory conversation designed to put a spotlight on the guest and their company. Learn more: https://www.studioc60.com/creation#highlightGUESTSubo Guha, Senior Vice President of Product Management, Stellar Cyber @LinkedInRESOURCESLearn more about Stellar Cyber: https://stellarcyber.aiAre 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#highlightKEYWORDSSubo Guha, Stellar Cyber, Sean Martin, brand story, brand marketing, marketing podcast, brand highlight, autonomous SOC, agentic AI, security operations, XDR, NDR, MSSP, MSP, alert triage, AI-driven security, Open XDR, Gartner Magic Quadrant, phishing detection, SOC automation Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Hello everybody this is another of my tutorial type relaxation videos. :) In this video I will show you a few different ways of wearing scarfs. I decided to do my movements more natural rather then extra slow in this video so I hope you will still enjoy it :) Thank you for all the lovely messages and comments you guys! -^____^- You make me so happy! Directory: 1:30-Man's Tie Technique4:10-Caprise Technique6:23-Folding Technique8:36-Woman's Tie Technique10:10-Office Viler Technique13:05-Lacross Technique16:07-The Braid TechniqueAmazon MP3https://www.amazon.com/s/ref=ntt_srch_drd_B01BAXDICM?ie=UTF8&field-keywords=GentleWhispering&index=digital-music&search-type=ssGoogle Play MP3https://play.google.com/store/music/artist/Gentlewhispering?id=Apc4txglf3f2siowzgqccttky5i&hl=enSpotify MP3https://play.spotify.com/artist/3gkB9Cdx4UuWQxjhelyd87?play=true&utm_source=open.spotify.com&utm_medium=openiTunes MP3https://itunes.apple.com/us/artist/gentlewhispering/id1077570705#see-all/top-songshttps://itunes.apple.com/us/artist/maria-gentlewhispering/id1048320316Disclaimer: *** This video is created for relaxation, entertainment and ASMR/tingles/chills inducing purposes only. For more information about ASMR phenomenon please click here: http://en.wikipedia.org/wiki/Autonomous_sensory_meridian_response This video cannot replace any medication or professional treatment. If you have sleep/anxiety/psychological troubles please consult your physician. Thank you :) ***PayPal (Donations): https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=RA5K2GG7687VJ Email: MariaGentlewhispering@gmail.comPS: I uploaded this video in HD as it was requested by many :) ♥9/22/12

Introduction In this episode of the Insurtech Leadership Podcast, host Josh Hollander sits down with Gemma Ros, CTO at The Zebra, to unpack their 2026 State of Auto Insurance Report. They explore what's driving premium divergence across states, how affordability pressure is reshaping consumer behavior, and where regulation, loss costs, and distribution dynamics collide. Guest Bio Gemma Ros is CTO at The Zebra, one of the largest insurance comparison platforms in the United States. Born in Spain, Gemma built her career across engineering and data roles before joining The Zebra, where she leads the technology organization responsible for data infrastructure, product engineering, and AI capabilities. She brings a unique perspective as both a technologist and an insurance industry insider who sees real-time consumer shopping behavior at scale. Key Topics • State-by-state premium divergence — Auto insurance premiums are not stabilizing uniformly. Regulatory environments, loss cost trends, and competitive dynamics are creating vastly different realities depending on where you live. • Affordability pressure and coverage erosion — Consumers facing higher premiums are choosing higher deductibles, lower coverages, and state minimums — creating knock-on effects for uninsured/underinsured motorist exposure across the market. • Carrier growth signals in ad spending — When carriers increase advertising, it signals growth appetite and competitive pricing — a cue for consumers to reshop their policies. • Rate filing dynamics — New rates are being filed and going into effect daily, making the market a moving target for both consumers and distribution partners. • Telematics and ADAS impact on underwriting — Usage-based insurance and advanced driver assistance systems are beginning to reshape how risk is priced, though widespread impact is still unfolding. • Autonomous vehicles and insurance implications — The shift from driver liability to product/manufacturer liability as autonomy scales, and what that means for carriers. • Taking AI from fun to material impact — Gemma's 2026 engineering theme: moving AI adoption from experimental to scalable, repeatable, and operationalized across the entire engineering organization. Quotes • "It's never a bad idea to shop around. Educate yourself — you might be leaving money on the table." • "If you start seeing a lot more ads for insurance companies on TV or on podcasts, that's a good time to reshop — the carriers are signaling they want to grow." • "My main theme for 2026 is taking AI from fun to material impact." Resources • The Zebra's 2026 State of Auto Insurance Report: Available at thezebra.com • The Zebra: thezebra.com — insurance comparison platform Subscribe & Review If you enjoyed this episode, subscribe to the Insurtech Leadership Podcast on YouTube, Apple Podcasts, Spotify, or wherever you listen. Leave a review — it helps other insurance and technology professionals find the show.

The February 20 edition of the AgNet News Hour focused squarely on agricultural automation, return on investment, and whether California is ready to truly support innovation in the field. Hosts Nick Papagni and Josh McGill broadcast on a drying Friday morning following recent storms, but the real spotlight was on cutting-edge technology unveiled at the 2026 World Ag Expo. The featured guest was Paul Mikesell, founder and CEO of Carbon Robotics, the company behind the LaserWeeder and the newly announced Autonomous Tractor Kit (ATK). Mikesell shared how he built the first version of the laser weeding system in his backyard after years of working with artificial intelligence in Silicon Valley. His goal was simple: apply advanced AI to solve real-world farming problems — specifically herbicide resistance, rising labor costs, and environmental concerns. The LaserWeeder uses AI-powered cameras and high-precision lasers to identify and eliminate weeds without chemicals. According to Mikesell, growers are seeing up to 80 percent savings on weed control while improving crop health and market timing. The key, he emphasized, is ROI. Farmers want automation to pay for itself in one to three years — not five or ten. That financial reality has shaped Carbon Robotics' business model and rapid global expansion into 15 countries. Beyond weed control, the company introduced Carbon ATK, an autonomous tractor kit that can convert existing tractors into self-driving units. Unlike other autonomous systems that shut down when encountering unexpected obstacles, Carbon's system allows remote operators to take control instantly, ensuring full workdays in the field. The technology is designed to handle tillage, spraying, and other field operations with real-time AI oversight. But the conversation also highlighted regulatory challenges in California. While self-driving vehicles operate on public streets in San Francisco, autonomous tractors face gray areas under state labor and safety regulations. Mikesell called for clearer policies that allow farmers to adopt the best tools available without unnecessary roadblocks. Papagni and McGill underscored the broader takeaway: automation must make financial sense for growers. With labor costs high and margins tight, farmers cannot afford technology that doesn't deliver quick, measurable returns. As AI continues to evolve rapidly, adaptability and affordability will determine which companies succeed. The episode closed with a call for common-sense leadership and stronger support for agriculture in California. As automation advances, the question remains — will policy keep pace with innovation?

This episode features a large news slate: OpenAI closing in on massive $100B-plus funding round, Fed minutes temper expectations on additional cuts, Uber earmarks $100M toward autonomous charging hub. QOFTW: Rapid Firehttps://www.instagram.com/delano.saporu/?hl=en. Connect with me here also: https://newstreetadvisorsgroup.com/social/. Want to support the show? Feel free to do so here! https://anchor.fm/delano-saporu4/support. Thank you for listening.

In this episode of The Great Indoors, Shelly Palmer, tech strategist and CEO of The Palmer Group returns for his third appearance to explain why the digital world has become unrecognizable in just two years since his last appearance. Listeners will gain an inside look at the brutal reality of the media business, where traditional purchase funnels have collapsed in favor of short-form video and zero-click AI search results. The conversation provides a roadmap for the transition from simple automation to agentic AI. Autonomous systems that can now plan and initiate tasks independently and explores the rise of vibe coding, where English becomes the new programming language. So if you're fascinated by media, machine learning, and the conversations shaping what comes next, this is an episode you won't want to miss.

What can a drone actually do on a working ranch, and is it worth the cost?In this episode, Haylie Shipp sits down with rancher Kari Koss, The Nature Conservancy's Jason Hanlon, and Ranchers Stewardship Alliance Mapping Specialist Maida Knapton to talk about the real world uses of drones in agriculture. From checking water and locating cattle to mapping prairie dog towns and monitoring vegetation, this conversation focuses on practical applications for producers in large, remote landscapes like northern Montana.The group shares honest experiences about learning curves, price points, wind limitations, regulations, and how drones can shift from being seen as a toy to becoming a valuable management tool. Whether you are looking to save time, reduce miles on equipment, or gain a new perspective on your operation, this episode offers a practical look at how drones are being used on working ranches today.Topics Covered in This Episode • Using drones to check water, cattle, and remote pastures • Drone costs  • Wind, battery life, and real world limitations • FAA rules, airspace, and line of sight requirements • Drone use in conservation and mapping • Autonomous flight paths • Opportunity cost and time savings on a ranchReal Ranch Applications Discussed • Checking water sources in hard to access areas • Locating cattle before a gather • Counting hay bales from above • Monitoring infrastructure and flood irrigation • Year to year photo monitoring of rangeland • Mapping prairie dog towns and vegetation healthKey Considerations for Producers • Most consumer drones have built in safety features and are easier to fly than many expect • Wind and battery are often the biggest limiting factors on the Northern Plains • Entry level drones can cost a few hundred dollars while advanced mapping drones can cost several thousand • Current FAA regulations require pilots to keep drones within visual line of sight and under 400 feet • Airspace restrictions may apply near airports, military activity, or certain federal landsResources Mentioned • FAA Before You Fly app for checking airspace restrictions: https://www.faa.gov/uas/getting_started/b4ufly • Blue UAS Cleared List and transition information: https://www.diu.mil/latest/dius-blue-uas-list-to-transition-to-dcma • Ranchers Stewardship Alliance YouTube channel webinar on drone seeding with Steve Kenyon: https://www.youtube.com/watch?v=D3w7pqhGqCIThis episode is especially helpful for producers, land managers, and conservation partners who are exploring practical technology that can save time, reduce labor, and provide better insight into large grazing opeSupport the showThe Ranchers Stewardship Alliance (RSA) is a rancher-led, grassroots organization, dedicated to improving the quality of life for rural communities throughout the Northern Great Plains. Through collaborative conservation projects, rancher education events, and local community outreach, RSA works to strengthen our rural community, economy, and culture for generations to come.For more on the Ranchers Stewardship Alliance, head to www.RanchStewards.org and follow us on Facebook and Instagram. Your feedback is always welcome. Email info@ranchstewards.org. Want to support our mission? Visit www.ranchstewards.org/support.

Manoj Saxena, Founder and CEO of Trustwise, explains why agentic AI represents a major shift inside organizations: from AI as a tool to AI as an active participant. He addresses the operational challenges that organizations face today, including AI-to-AI interactions, opaque decision-making, regulatory pressure, and the growing need for continuous oversight as AI systems gain autonomy. Key Takeaways: The ways AI agents are already taking on roles once owned by humans How leaders should prepare for AI systems that negotiate, decide, and act independently The emerging risks of AI acting without visibility, guardrails, or accountability Why trust, safety, and governance must operate in real time, not retroactively The organizational and cultural implications of humans managing AI agents Guest Bio: Manoj Saxena is the Founder, CEO, and Chairman of Trustwise—an award-winning AI safety company focused on securing and governing agentic AI systems—and the Founder and Chairman of the Responsible AI Institute. Widely regarded as the "father of IBM Watson," Manoj is a pioneer of Trusted Artificial Intelligence (TAI) and a leading voice for ethical and responsible AI. He previously served as General Manager of IBM Watson and as Chairman of the Board at the Federal Reserve Bank of Dallas. A serial entrepreneur with over $1.8B in exit value across multiple startups, Manoj is also a lecturer at the University of Texas at Austin and a fellow contributor at University of Cambridge, where he teaches and advises on ethical AI and responsible leadership. ---------------------------------------------------------------------------------------- About this Show: The Brave Technologist is here to shed light on the opportunities and challenges of emerging tech. To make it digestible, less scary, and more approachable for all! Join us as we embark on a mission to demystify artificial intelligence, challenge the status quo, and empower everyday people to embrace the digital revolution. Whether you're a tech enthusiast, a curious mind, or an industry professional, this podcast invites you to join the conversation and explore the future of AI together. The Brave Technologist Podcast is hosted by Luke Mulks, VP Business Operations at Brave Software—makers of the privacy-respecting Brave browser and Search engine, and now powering AI everywhere with the Brave Search API. Music by: Ari Dvorin Produced by: Sam Laliberte  

This week Shawn Tierney meets up with Soroush Karimzadeh of Novarc to discuss their AI-Powered Autonomous Welding Robotics in this episode of #TheAutomationPodcast. For any links related to this episode, check out the “Show Notes” located below the video. Watch The Automation Podcast from The Automation Blog: Listen to The Automation Podcast from The Automation Blog: The Automation Podcast, Episode 262 Show Notes: Special thanks goes out to Soroush Karimzadeh for coming on the show, and to Novarc for sponsoring this episode. To learn more about their AI-Powered Autonomous Robotic Welding solution, see the below links: Soroush Karimzadeh, LinkedIn, CEO & CoFounder, Novarc Technologies Inc.: https://www.linkedin.com/in/soroushkarimzadeh Novarc Technologies, LinkedIn: https://www.linkedin.com/company/novarc-technologies-inc- Novarc Technologies Website: https://www.novarctech.com/ NovAI™ – Adaptive Welding: The full power of AI and machine vision in welding automation: https://www.novarctech.com/products/novai/ Spool Welding Robot (SWR™): https://www.novarctech.com/products/spool-welding-robot/ Until next time, Peace ✌️ If you enjoyed this content, please give it a Like, and consider Sharing a link to it as that is the best way for us to grow our audience, which in turn allows us to produce more content

What if robots could handle tedious retraction, precise bone milling, or even autonomous suturing, freeing surgeons to focus on complex decision-making and more patients?In this episode of the Succeed In Medicine Podcast, Dr. Bradley Block speaks with Dr. Michael Yip, as he explains that today's robots primarily serve as extensions of human surgeons via teleoperation (e.g., da Vinci for precision in hard-to-reach areas), enhancing dexterity, visualization, and accuracy rather than replacing them. He highlights existing autonomous applications in "hard tissue" procedures like the Mako or Stryker robots for precise bone milling in joint replacements, and non-contact examples like CyberKnife for focused radiation therapy.For soft tissue surgery, the more challenging domain due to tissue deformation and variability, autonomy is emerging in simpler, repetitive tasks such as retraction, suctioning, or basic suturing, with demonstrations dating back 15 years but real-world deployment lagging due to engineering, data, and economic hurdles. Dr. Yip discusses why demos in controlled settings don't easily translate to ORs, the shift to data-driven AI (with risks of out-of-distribution failures), and regulatory challenges like FDA expertise gaps and defining probabilistic safety. He predicts stepwise adoption: starting with assistant-level tasks (replacing med student/intern roles in retraction/suction), then progressing to free surgeons for higher-value work, especially in underserved rural areas via telesurgery. Full "skin-to-skin" autonomy (e.g., simple lipoma excision or appendectomy) remains years away, limited by hardware combining strength, dexterity, and precision in one system, though teams of specialized robots could accelerate progress. Ultimately, robotics will alleviate surgeon burnout from growing demand, not eliminate jobs soon.Three Actionable TakeawaysEmbrace Robotics Early in Training: Surgeons and trainees should gain hands-on experience with diverse robotic technologies now, treating them as essential tools that augment precision and dexterity rather than threats to obsolescence.Focus on Repetitive Tasks for Autonomy Gains: Prioritize robotic assistance in tedious, physically demanding steps like retraction, suctioning, or basic closure to free up time, reduce fatigue, and improve efficiency in high-volume or resource-limited settings.Stay Informed on Regulatory and Economic Shifts: Monitor evolving FDA guidelines for AI/surgical autonomy, economic incentives (e.g., cost savings in joint replacements or anastomosis), and liability frameworks to prepare for integration that enhances patient access and outcomes.About the Show:Succeed In Medicine covers patient interactions, burnout, career growth, personal finance, and more. If you're tired of dull medical lectures, tune in for real-world lessons we should have learned in med school!About the Guest:Dr. Michael Yip is an Associate Professor of Electrical and Computer Engineering at UC San Diego and Director of the Advanced Robotics and Controls Laboratory (ARCLab). His research focuses on surgical robots, biomimetic design, robot learning, autonomous robotic surgery, and deformable tissue manipulation. He has received the NSF CAREER Award, NIH Trailblazer Award, IEEE RAS Distinguished Lecturer recognition, and was named Faculty Innovator of the Year at UCSD in 2024 and elected to the National Academy of Inventors. Previously a Disney researcher at Amazon Robotics, he holds a BSc in Mechatronics Engineering from the University of Waterloo, MS in Electrical Engineering from the University of British Columbia, and PhD in Bioengineering from Stanford University.Website: yip.eng.ucsd.edu and ucsdarclab.comAbout the Host:Dr. Bradley Block – Dr. Bradley Block is a board-certified otolaryngologist at ENT and Allergy Associates in Garden City, NY. He specializes in adult and pediatric ENT, with interests in sinusitis and obstructive sleep apnea. Dr. Block also hosts Succeed In Medicine podcast, focusing on personal and professional development for physiciansWant to be a guest?Email Brad at brad@physiciansguidetodoctoring.com  or visit www.physiciansguidetodoctoring.com to learn more!Socials:@physiciansguidetodoctoring on Facebook@physicianguidetodoctoring on YouTube@physiciansguide on Instagram and Twitter   This medical podcast is your physician mentor to fill the gaps in your medical education. We cover physician soft skills, charting, interpersonal skills, doctor finance, doctor mental health, medical decisions, physician parenting, physician executive skills, navigating your doctor career, and medical professional development. This is critical CME for physicians, but without the credits (yet). A proud founding member of the Doctor Podcast Network!Visit www.physiciansguidetodoctoring.com to connect, dive deeper, and keep the conversation going. Let's grow! Disclaimer:This podcast is for informational purposes only and is not a substitute for professional medical, financial, or legal advice. Always consult a qualified professional for personalized guidance. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Host Jeremy C. Park interviews Ethan Pretsch, Founder and President of WatchDog Robotics, which offers autonomous fire suppression systems using industry leading sensors and monitoring software combined with robotic nozzles to detect fires early and rapidly extinguish them. Ethan shares his some of his background and where the idea for the business started after searching for fire suppression systems that could be used in large tent structures that were up for long periods of time. He explains the limitations of traditional sprinkler systems, which have remained unchanged since 1874, and describes their autonomous alternative that uses sensors to detect and extinguish fires within 12 seconds using robotic water cannons. The system can detect fires up to 400 feet away and deliver water to a range of about 200 feet, making it suitable for large industrial spaces, warehouses, and manufacturing facilities. Ethan notes that while the technology is evolving, traditional systems still pose risks of extensive water damage and toxic cleanup, and the autonomous solution offers a more efficient and cost-effective alternative.Jeremy and Ethan discuss the global adoption of advanced fire protection technologies, noting that while Europe and Asia have embraced these innovations, the US market is catching up. Ethan highlights the positive reception from fire engineers and code enforcement officials, suggesting that written codes will soon reflect the potential of robotic autonomous firefighting.Ethan highlights the potential markets in Tennessee, including manufacturing, distribution, and forestry products, and mentions his ties to Memphis, where he has an employee and access to a robust industrial base with skilled professionals. He emphasizes the importance of building relationships to leverage shared knowledge and support, which is crucial for driving opportunities.Ethan expresses interest in applying his technology to wildfire defense and improving plant uptime and safety. He shares advice on taking the first step towards achieving goals, emphasizing the importance of action and learning through available resources like CAD design and programming. He highlights the transformative impact of AI and current low barriers to entry, encouraging natural curiosity and willingness to learn. Ethan also provides details on how to connect with WatchDog Robotics, including their website, social media presence, and options for site visits, demonstrations, and risk assessments.Visit https://www.watchdogrobotics.com to learn more about WatchDog Robotics.

Aaron shares an update about his recent visit out west for the vlog and other various company happenings. Questions or feedback? Email us at dirttalk@buildwitt.com! To learn more about attending the 2026 Ariat Dirt World Summit, visit www.dirtworld.com! Learn more about your ad choices. Visit megaphone.fm/adchoices

Perform 2026 felt like a turning point for Dynatrace, and when Steve Tack joined me for his fourth appearance on the show, it was clear this was not business as usual.  We began with a little Perform nostalgia, from Dave Anderson's unforgettable "Full Stack Baby" moment to the debut of AI Rick on the keynote stage. But the humor quickly gave way to substance. Because beneath the spectacle, Dynatrace introduced something that signals a broader shift in observability: Dynatrace Intelligence. Steve was candid about the problem they set out to solve. Too much focus on ingesting data. Too much time spent stitching tools together. Too many dashboards. Too many alerts. The real opportunity, he argued, is turning telemetry into trusted, automated action. And that means blending deterministic AI with agentic systems in a way enterprises can actually trust. We unpacked what that looks like in practice. From United Airlines using a digital cockpit to improve operational performance, to TELUS and Vodafone demonstrating measurable ROI on stage, the emphasis at Perform was firmly on production outcomes rather than pilot projects. As Steve put it, the industry has spent long enough in "pilot purgatory." The next phase demands real-world deployment and real return. A big part of that confidence comes from the foundations Dynatrace has laid with Grail and Smartscape. By combining unified telemetry in its data lakehouse with real-time topology mapping and causal AI, Dynatrace is positioning itself as the engine behind explainable, trustworthy automation. When hyperscaler agents from AWS, Azure, or Google Cloud call Dynatrace Intelligence, they are expected to receive answers grounded in causal context rather than probabilistic guesswork. We also explored what this means for developers, who often carry the burden of alert fatigue and fragmented tooling. New integrations into VS Code, Slack, Atlassian, and ServiceNow aim to bring observability directly into the developer workflow. The goal is simple in theory and complex in execution: keep engineers in their flow, reduce toil, and amplify human decision-making rather than replace it. Of course, autonomy raises questions about risk. Steve acknowledged that for now, humans remain firmly in the loop, with most agentic interactions still requiring checkpoints. But as trust grows, so will the willingness to let systems self-optimize, self-heal, and remediate issues automatically. We closed by zooming out. In a market saturated with AI claims, Steve encouraged listeners to bet on change rather than cling to the status quo. There will be hype. There will be agent washing. But there is also real value emerging for those prepared to experiment, learn, and scale responsibly. If you want to understand where AI observability is heading, and how deterministic and agentic intelligence can coexist inside enterprise operations, this episode offers a grounded, practical perspective straight from the Perform show floor.

St Clair Newbern is the CEO of Live Energy Inc., a Colleyville, Texas-based energy broker that helps large commercial clients procure and manage their electricity and natural gas needs. Under his leadership, Live Energy has served businesses across the country for over 20 years, leveraging industry expertise and technology to optimize energy strategies for clients — he also boasts an extensive entrepreneurial background. In addition to his energy industry work, St Clair has recently launched an AI consultancy, diving deep into practical applications of autonomous AI agents and building innovative solutions for knowledge work. In this episode… In a world where automation is becoming increasingly crucial, how far can we push AI to truly enhance business operations? Imagine an AI agent that doesn't just assist with tasks but takes full ownership, running seamlessly 24/7. Could this be the future of work? According to St Clair Newbern, a seasoned entrepreneur with deep roots in AI and energy, the future lies in giving AI true autonomy. Drawing from his experience building autonomous systems, St Clair explains how an open-source AI agent, capable of managing complex projects, sending emails, and even performing research while you sleep, could revolutionize productivity. The real magic, he argues, lies in the model's ability to self-manage, persistently learn, and maintain continuity across tasks — an unprecedented level of automation that empowers businesses to scale without increasing headcount. Tune in to this episode of the Smart Business Revolution Podcast as John Corcoran interviews St Clair Newbern, the CEO of Live Energy Inc., to discuss building and harnessing an autonomous open-source AI agent for business. St Clair shares insights on creating AI that acts like a high-performing employee, the architecture behind persistent memory in AI, and how businesses can leverage AI agents to streamline operations.

Autonomous vehicle technology has moved past human-coded rules and into an era of neural networks and custom computer chips. And to solve the most difficult driving scenarios, electric vehicle company Rivian abandoned its original technology platform to build a vertically integrated data stack. Sarah Guo sits down with Rivian Founder and CEO RJ Scaringe to explore the seismic shift in the automotive industry toward AI-driven, software-defined vehicles . RJ discusses the move away from function or domain-based architecture for vehicle electronic systems to software-defined architecture, which allows for dynamic, monthly updates to features in Rivian's vehicles. RJ also talks about the upcoming launch of Rivian's R2 model, which aims to be a distinct, affordable, mass-market alternative to the Tesla Model Y. Plus, RJ shares his vision for a future where vehicles don't just drive us, but inspire personal freedom and exploration. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @RJScaringe | @Rivian  Chapters: 00:00 – Cold Open00:35 – RJ Scaringe Introduction0:58 – Rivian's Autonomy Evolution05:19 – Why Rivian's Tech is Vertically Integrated10:06 – Levels of Autonomous Driving Technologies14:00 – Importance of a Software-Defined Architecture19:28 – Differentiating Autonomous Vehicle Models23:20 – R2: The First Mass Market Autonomous Vehicle25:02 – Do Americans Want EVs?29:05 – How Our Relationship to Vehicles is Evolving30:45 – Conclusion

Peter & Dave sit down with Brett Adcock to discuss the future of Figure and Humanoid Robots.  Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Brett Adcock is the founder of Figure, an AI robotics company developing general-purpose humanoid robots. Peter H. Diamandis, MD, is the Founder of XPRIZE, Singularity University, ZeroG, and A360 Dave Blundin is the founder & GP of Link Ventures – My companies: Apply to mine and Dave's new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   _ Connect with Brett: X Website: https://www.brettadcock.com/ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Listen to MOONSHOTS: Apple YouTube Learn more about your ad choices. Visit megaphone.fm/adchoices

Meta, TikTok, Snap agree to be evaluated under new teen safety rating system, TikTok rolls out “Local Feed” in the U.S., Samsung announces iGalaxy Unpacked event on February 25th. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. IfContinue reading "Uber, Baidu To Launch Fully Autonomous Ride-Hailing in Dubai – DTH"

In this episode of Liftoff, Keith sits down with Amos Bar-Joseph, Co-Founder and CEO of Swan AI, to explore a radical shift in how modern companies scale.Amos shares why the traditional belief that growth equals headcount is breaking down—and how AI is enabling a new model: the autonomous business. At Swan, scale is no longer about adding people—it's about increasing ARR per employee by embedding intelligence directly into workflows.They unpack:Why the old “cog culture” model is collapsing What collaborative autonomy really meansHow Swan's AI GTM Engineer turns ideas into live go-to-market workflowsWhy execution—not creativity—is what AI should automateAnd why go-to-market innovation is now more important than product innovationThis is a must-listen for founders, operators, and GTM leaders navigating the AI-native era.Connect with Amos Bar-Joseph: Website: https://getswan.com/ LinkedIn: https://www.linkedin.com/in/amos-bar-joseph/ 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=f5a14e779777487dApple Podcasts: https://podcasts.apple.com/ca/podcast/liftoff-with-keith-newman/id1560219589Substack: https://keithnewman.substack.com/Newman Media Studios: https://newmanmediastudios.com/ LinkedIn: https://www.linkedin.com/company/liftoffwithkeithTikTok: https://www.tiktok.com/@keithnewman74 For sponsorship inquiries, please contact: sponsorships@wherewithstudio.com#AutonomousBusiness #AIinBusiness #CollaborativeAutonomy #FutureOfWork #GTMInnovation #SaaSFounders #StartupScaling #AIWorkflows #AgenticAI

AI and robotics professor Noel Sharkey reveals how a deep dive into U.S. military roadmaps shattered his faith in “benevolent” robotics, exposing a global rush toward fully autonomous killer machines with zero accountability. He details DARPA's push for armed humanoid robots, autonomous drone jets, and ground-based weapons platforms—sold to the public as rescue tools while quietly designed for assassination and domestic control.Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code KNIGHT Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

2. Minneapolis Situation & ICE Confrontations A. Escalating Conflict Recent fatal confrontations between civilians and ICE agents in Minneapolis. Two individuals (not known to be violent criminals) have been killed during encounters. Host urges toning down rhetoric from both political sides to prevent further escalation. B. Comparison Between Texas and Minnesota Texas sees far more ICE arrests but fewer violent confrontations. Reasons suggested: Texas law enforcement cooperates with ICE. Minnesota politicians (governor/mayor) allegedly encourage public confrontation with ICE. C. Violent Protest Structure Minneapolis protests are organized, funded, and oper­ated similarly to military groups. Reports mentioned: Surveillance operations against law enforcement Protesters allegedly sabotaging vehicles and physically attacking officers Autonomous‑zone style barricades forming in some areas 3. Responsibility & Advice Regarding Police Encounters Do not escalate encounters with law enforcement. Entering a protest with a firearm greatly increases danger for everyone involved. Legal principles discussed: Lethal force is justified if officers reasonably believe there is a threat. Officers cannot shoot fleeing suspects unless they pose serious immediate danger. 4. Media Narratives & Political Messaging A. Suburban Women as Target Audience Democrats viewed as shaping narratives (e.g., “ICE shoots mother of three,” “ICE detains 5‑year‑old”) to emotionally influence suburban voters. Hosts argue some widely publicized stories were misleading or false. B. Claims of Political Motives Democrats are using these incidents to distract from: A major Minnesota fraud scandal involving billions of dollars. Each new confrontation diverts media attention from that scandal. 5. Anticipated Government Shutdown A. Democrat Position Multiple Democratic leaders publicly oppose funding DHS/ICE at current levels. Statements from Senators (Schumer, Warren, Murphy) emphasize refusal to pass DHS funding bill without ICE restrictions. B. Hosts’ Conclusion They expect a government shutdown, driven by attempts to: Defund or weaken ICE Appeal to progressive voters Control political narrative ahead of elections Shutdown would affect agencies not yet funded (e.g., Defense, Labor, Education, HHS, HUD, DHS). Please Hit Subscribe to this podcast Right Now. Also Please Subscribe to the 47 Morning Update with Ben Ferguson and The Ben Ferguson Show Podcast Wherever You get You're Podcasts. And don't forget to follow the show on Social Media so you never miss a moment! Thanks for Listening YouTube: https://www.youtube.com/@VerdictwithTedCruz/ Facebook: https://www.facebook.com/verdictwithtedcruz X: https://x.com/tedcruz X: https://x.com/benfergusonshowYouTube: https://www.youtube.com/@VerdictwithTedCruzSee omnystudio.com/listener for privacy information.