Podcasts about future of ai

In this episode, Laura Dyrda, Vice President, Editor-in-Chief, Becker's Healthcare, discusses the leadership strategies health systems need to navigate workforce strain, burnout and talent development. She also explores the opportunities and risks surrounding AI adoption, including governance, reskilling and using technology to improve decision-making and care delivery.

In this episode, Madelyn O'Farrell interviews Eesha Pathak, Senior Director of Product Management at Crusoe, about her unconventional career from software engineering and branding to leading enterprise AI at Google and now building AI-first infrastructure. They discuss Crusoe's vertically integrated, energy-first approach to cloud and data centers, capturing abundant energy (like stranded gas and renewables) and turning “electrons into intelligence” via GPUs and a custom cloud stack. Eesha explains how Crusoe's gigawatt-scale campuses and modular Spark edge deployments complement each other to deliver both scale and low-latency inference, dives into the Managed AI platform with its model marketplace, self-serve and tailored deployments, fine-tuning, and upcoming reinforcement learning, and highlights why judgment and holistic thinking are critical in product and engineering. She also unpacks Crusoe's close partnership with NVIDIA, its role in enabling physical AI and robotics with low-latency compute, a flexible data and partnership strategy, and her long-term vision of Crusoe becoming the most helpful company for people building AI, so customers can focus on their products instead of wrestling with infrastructure. Highlights from their conversation include: Eesha's Unconventional Career Path from Bosch to Google to Crusoe (0:29) Why Energy Is the Real Bottleneck for AI Infrastructure (3:30) What Energy-First Means and Bringing Compute to Abundant Power (5:04) Spark Modular Data Centers and Edge Zones Strategy (6:22) How Gigawatt Campuses and Edge Zones Work Together (8:26) Importance of Judgment in Product and Engineering Decisions (12:49) NVIDIA Partnership and Day Zero Nemotron Model Launches (15:25) Physical AI, Robotics, and Low-Latency Edge Inference (17:21) Crusoe's Data Strategy and Partnership Approach (21:52) Vision for Crusoe as Most Helpful Company for AI Builders (22:47) Closing Thoughts and Episode Wrap-Up (24:09) Dynamo Ventures is a venture firm backing founders upgrading the physical economy. As intelligence moves into critical infrastructure and technology collides with physics, industry is entering a new era of transformation - the industrial renaissance. Born from the dirt and grit of supply chains and shaped by operations, not spreadsheets, Dynamo focuses on the complex realities of building in the real world. We invest in companies transforming infrastructure, manufacturing, logistics, transportation, and the systems that power global commerce. Dynamo works closely with founders who combine ambition with a bias to action, bringing a builder mindset to venture capital through deep operational insight, systematic pressure-testing and hands-on partnership. Our purpose is simple: to back the relentless shaping the industrial renaissance. Learn more at www.dynamo.vc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this special episode, we are joined by Mike Sullivan, Co-Founder and Chief Growth Officer at OneDigital, and Vinay Gidwaney, OneDigital's Chief Product Officer, to discuss their new book, Workforce Intelligence: The People-First Playbook for Leading Your Company Through AI Transformation. Together, they offer a practical, pro-human framework for navigating a future where artificial intelligence becomes deeply embedded in how organizations operate.   We explore why leaders should focus on tasks rather than headcount, how AI can amplify uniquely human capabilities, and why companies may need to rethink how they manage their workforce. Mike and Vinay explain their concepts of reducible and irreducible skills, AI coworkers, workforce intelligence, collaborative AI use, and the importance of building an organizational intelligence layer. They also share practical lessons from OneDigital's own AI transformation—including why leadership activation, trust, reskilling, and a partnership between technical and non-technical leaders are essential.   This conversation offers an alternative to the prevailing narrative of AI-driven job elimination. Instead, it asks a bigger question: if AI can take on more of the work we currently do, what might humans become capable of doing next?   Key Points From This Episode: (0:00:00) Highlights. (0:00:25) Introduction. (0:01:23) Why AI adoption affects employers, employees, and financial markets—and why the conversation is relevant far beyond technology. (0:02:27) Two possible paths for companies: replacing people with AI or using AI to amplify human capabilities. (0:03:53) How PWL is already using AI to help financial planners and portfolio managers work more strategically and serve clients better. (0:06:22) Mike and Vinay's five-year partnership around deploying AI inside OneDigital. (0:09:07) The "radiating red dot": Why Mike's analysis suggested that up to 25% of OneDigital's workforce could be disrupted by AI. (0:11:09) "See faces, not headcount": The decision to pursue transformation by amplifying people rather than simply reducing jobs. (0:12:19) Why Mike and Vinay felt a responsibility to offer a more practical, human-first narrative about AI and work. (0:13:40) Vinay's realization that widespread access to AI makes human differentiation even more important. (0:17:22) Mike's first experience with an AI coworker—and the endless possibilities it unlocked for curiosity and exploration. (0:18:22) Human intelligence versus artificial intelligence: Why AI's greatest value may be its ability to help people think differently. (0:22:19) Why the future of work should be analyzed at the task level rather than through predictions about jobs disappearing. (0:23:58) The coming reskilling challenge—and why the allocation of work between AI and humans needs to be more deliberate. (0:25:12) Why Vinay believes companies that discard their human talent could lose their most important competitive differentiation. (0:26:30) Why AI transformation should be viewed as a "movie, not a snapshot," with work continually being reshaped. (0:28:10) What "workforce intelligence" means: Managing the combined intelligence of human talent and AI talent. (0:30:07) Why Mike and Vinay believe HR—not just IT—must play a central role in leading the transition to a blended workforce. (0:31:54) Reducible versus irreducible skills: Letting AI handle work that can be broken into processes while humans spend more time on judgment, experience, and other "squishy" capabilities. (0:34:10) Applying the framework to financial planning: AI for modeling and information processing, humans for judgment, relationships, and helping clients navigate life decisions. (0:37:00) How AI can reduce meeting preparation from hours to minutes while generating insights that would otherwise be missed. (0:37:48) The importance of trust and communication as employees try to understand what AI means for their future. (0:39:53) The Workforce Intelligence score: Treating AI as talent and measuring the evolving mix of human and AI work. (0:42:09) Transactional versus collaborative AI use—and why collaboration can be more amplifying for both people and organizations. (0:45:40) Why companies need agency over their AI systems and should think carefully about intelligence lock-in. (0:48:47) Codifying organizational intelligence: Building systems where human expertise improves AI, which in turn helps humans become more capable. (0:50:24) What it means to become "activated" by AI—and how using AI as a coach and teacher can expand human potential. (0:52:44) Ambient AI: Systems that continuously observe information and surface patterns when human judgment is needed. (0:54:11) The Charlotte-Denver redundancy and the challenge of making the best organizational intelligence available to everyone. (0:57:26) OneDigital's five-tier fluency model for developing AI capabilities across employees, advanced users, managers, and builders. (1:00:13) Why democratized software development creates a new governance challenge—and how AI may help manage it. (1:00:54) Why OneDigital gives AI coworkers names, faces, profiles, skill sets, and human managers. (1:04:01) Mike's belief in the dignity of work—and why employers need to approach the AI transition with humanity and care. (1:06:53) Vinay's belief in human potential and why the goal should be to expand what people are capable of doing. (1:08:56) Why organizations should avoid measuring AI success solely through cost cutting and instead consider human amplification. (1:12:41) The four questions for Monday morning: Turning big ideas about AI transformation into practical actions leaders can take immediately. (1:13:55) Why AI transformation needs leadership from the top and a partnership between someone who understands technology and someone who deeply understands the business. (1:15:40) Leadership activation: Why organizations are unlikely to change until their leaders personally experience how AI can transform their own work. (1:17:44) What we still don't know about AI—and why the guests believe we are still in the very early innings of this transformation. (1:18:55) The three-minute-mile analogy: AI may optimize human minds in ways we cannot yet imagine. (1:20:00) A final call for a pro-humanity, blended workforce—and the need to move faster in adapting to what AI makes possible.   Links From Today's Episode: Meet with PWL Capital: https://calendly.com/d/3vm-t2j-h3p Rational Reminder on iTunes — https://itunes.apple.com/ca/podcast/the-rational-reminder-podcast/id1426530582. Rational Reminder on Instagram — https://www.instagram.com/rationalreminder/ Rational Reminder on YouTube — https://www.youtube.com/channel/ Benjamin Felix — https://pwlcapital.com/our-team/ Benjamin on X — https://x.com/benjaminwfelix Benjamin on LinkedIn — https://www.linkedin.com/in/benjaminwfelix/   Editing and post-production work for this episode was provided by The Podcast Consultant (https://thepodcastconsultant.com)

Kathy Solberg Book Discussion Michael welcomed Kathy Solberg to discuss her background and book. Kathy shared her career journey from academia to running a leadership program and starting her own consulting company, Common Unity Consulting. She mentioned her upcoming book "Practical Tools for Workplace Transformation" releasing September 10th. The conversation touched on how Kathy's diverse experiences across academia, consulting, and running peer groups for various professionals have allowed her to accumulate valuable tools and skills that she uses to help others. Change Management Best Practices Kathy explained that many change management efforts fail because complex solutions are applied to complex problems without properly addressing existing systems and infrastructure. She described her "unweaving" process, which starts with noticing and clarifying current systems before acting, emphasizing the importance of understanding what works before implementing changes. Kathy noted that leaders often try too many different approaches without giving previous efforts enough time to succeed, leading to broken trust and employee exhaustion. AI Implementation Planning Challenges Michael shared his experience from government healthcare panels where doctors were often excluded from planning discussions, leading to failed implementations when doctors ultimately rejected the proposed solutions. He drew a parallel to current AI deployments, warning that many AI initiatives will likely fail by 2027 due to lack of proper oversight and understanding of standard operating procedures. Kathy agreed and added that many organizations struggle with creating meaningful strategic plans without proper human interaction in the process. Future-Focused Systems and Tools Book Kathy explained that her book, which took over three years to write, was inspired by her frustration with people wanting to return to pre-pandemic normalcy and her desire to share insights about creating a better future. She described the book as a gift of simplified systems and tools, including 302 worksheet pages that will be available for free on her website when the book launches in September. Workplace Boundaries Book Discussion Kathy discussed creating a book focused on workplace boundaries and control, which started as a personal project but evolved into a workplace-focused publication. Michael shared his experience with conference notes and learning resources, emphasizing the challenge of implementing new knowledge due to limited staffing. They both discussed the importance of applying learning to both personal and professional settings, with Kathy noting how her book addresses the connection between personal and workplace behavior. Book Promotion Timeline Discussion Michael and Kathy discussed the promotion and release timeline for Kathy's book. They agreed to release promotional content gradually over a few days to build anticipation, with Michael's team handling the editing and distribution process. Kathy provided her website kathysolberg.com as the place for people to learn more about her work and the book.

Shane Neman is a serial entrepreneur and investor. He founded and successfully exited two technology companies, JoonBug and EZ Texting, before moving to the investing side. Today he is the Manager of Neman Ventures, a venture capital firm focused on frontier technology, including AI, robotics, defense tech, quantum computing, and longevity. Separately, he runs the Neman Family Office, which holds direct investments and commercial real estate. He is the author of "Nightlife Lessons" and writes about startups, investing, and health at shaneneman.com.

AI's impact on work goes far beyond job losses. Drawing on Every's new Thesis Statements project, NLW explores how AI could transform what individuals do, how companies operate, which skills become valuable and what becomes possible when intelligence is abundant.Thesis Statements: https://every.to/thesis-statementsExecutive Agent Leadership - Returns in September -- Learn how to use agents - ⁠https://training.besuper.ai/⁠Free Webinar - Agentic Loops for Knowledge Workers - 8/26/26 26pm ⁠https://aidailybrief.ai/webinar⁠Brought to you by:KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills can be taught at scale. Learn more at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://kpmg.com/us/Sophisticated⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Harbor - Invest in the AI ecosystem. ⁠⁠⁠⁠⁠⁠⁠⁠https://www.harborcapital.com/aidaily⁠⁠⁠⁠⁠⁠⁠⁠Hyperagent - Hire a fleet of always-on agents. New users get $1,000 in inference. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠hyperagent.com/aidailybrief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Rackspace Technology- One accountable partner to build, operate and run your full enterprise AI stack ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.rackspace.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Section - Section turns AI investment into workforce transformation and ROI - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.sectionai.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy - Want to accelerate enterprise software development velocity by 5x? ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AssemblyAI - The best way to build Voice AI apps - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.assemblyai.com/brief⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The AI Daily Brief helps you understand the most important news and discussions in AI. Newsletter: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://aidailybrief.beehiiv.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Interested in sponsoring the show? sponsors@aidailybrief.ai

America has a crisis of young men—and Tony Woodlief believes fatherhood, faith, and stronger communities could be part of the answer. On The Karol Markowicz Show, Karol sits down with writer, political scientist, and author Tony Woodlief for a wide-ranging conversation about fatherhood, masculinity, parenting, faith, politics, education, artificial intelligence, and finding purpose in an increasingly disconnected culture. Woodlief explains why he believes too many young men have been left without meaningful friendships, employment, education, or connections to institutions and communities. He discusses the difference between simply being a parent and intentionally being a father, why modern portrayals of masculinity often miss the mark, and what can be done to help men searching for direction and purpose. Karol and Tony also explore his unconventional approach to politics and federalism, including why he believes massive school districts have weakened parents’ control over their children's education and why breaking them into smaller, locally accountable districts could produce better results. Plus, Tony offers his provocative prediction about artificial intelligence and the future of writing and art, explains why AI may expose rather than destroy bad creative work, and shares the simple daily practice he believes can dramatically improve your life: intentional gratitude. It’s a thoughtful conversation about raising children, becoming better men, strengthening families, reclaiming local control, and finding meaning in a rapidly changing America.See omnystudio.com/listener for privacy information.

In this episode of The Jess Larsen Show on Innovation & Leadership, Jess sits down with Andrew Rubin, founder and CEO of Illumio, for a timely conversation on cybersecurity, AI, investing, and what leaders need to understand about risk in a world where attacks are becoming faster, cheaper, and more sophisticated. Andrew explains the core philosophy behind Illumio: cybersecurity can no longer be only about preventing every breach. Companies still need to stop as much as they can, but they also need a second mission, containing attacks the moment they happen so one breach does not become a full-scale catastrophe. As Andrew puts it, the goal is to make the problem small before it spreads. Jess and Andrew also talk through what this means for founders, CEOs, and investors who may not have large security teams but still hold valuable customer data. Andrew breaks down why smaller companies can still be major targets, how AI is democratizing attack capabilities, and why leaders need to think seriously about partners, risk, reputation, and customer trust before a crisis hits. The conversation also moves into product-market fit, customer feedback, capital allocation, and investment philosophy. Andrew shares how Illumio thinks about building in a fast-changing market, why customer conversations matter more than surface-level feedback, and how he evaluates companies by looking at the market, the idea, the team, and their ability to execute over time. This is a sharp and practical episode about cybersecurity in the age of AI, the importance of moving faster without chasing perfection, and how leaders can make better decisions when the stakes are high and the timeline is shrinking. Learn more about your ad choices. Visit megaphone.fm/adchoices

Long-time StartUp Health community member Yusuf Sherwani, MD, didn't set out to build an AI mental health specialist. Nine years ago, he co-founded Pelago ( https://startuphealth.com/pelago ) as a virtual clinic for substance use disorder – called Quit...

What happens when legendary venture capital investors and pioneering media entrepreneurs replace traditional studio infrastructure with AI digital twins? In this throwback episode of our Edge of AI Podcast, host Ron Levy sits down with Tim Draper and Mark Scarpa.Mark breaks down how Defiance.TV operates as the first AI-powered television network, utilizing digital twins, automated script writing, AI fact-checking, and decentralized IPFS blockchain distribution to maintain journalistic integrity across 160 million households. Tim shares how his own AI doppelganger on Draper TV broadcasts daily news updates on several hundred portfolio companies in up to 22 native languages, surprisingly serving as his own daily intelligence briefing.Discover Tim Draper's vision for decentralized governance using AI to streamline bloated government bureaucracies, aligning performance incentives with GDP growth, and why Bitcoin and blockchain ledgers will eliminate modern accounting and auditing friction.Support us through our Sponsors! ☕ Want to make content like ours? Sign up with Castmagic to make your creative process easy: https://bit.ly/CastmagicReferral Work smarter, grow faster. Automate your SEO, get AI insights, and manage all your clients in one place with Helm. Start today 50% off your first month at helmseo.comDouble your team's efficiency with COCO. Hire dedicated AI employees for copywriting, research, and CRM. Use code REF-W8CBVH for an exclusive 5% off your first order: https://coco.xyz/dashboard/hire/plan?ref=REF-W8CBVH Do you want to grow a business? Go from an idea to livebusiness in minutes. Use our Referral code: edgeof to 50% off your first month at https://www.willo.ai/When you purchase through these links, we may earn a commission. ____

HOUR 3: If the software engineers don't even know what the future of AI looks like... full 2288 Tue, 18 Aug 2026 21:00:00 +0000 Zzw8gNV7xnCIckwSUg8XqRUtqcI52Zjd news The Dana & Parks Podcast news HOUR 3: If the software engineers don't even know what the future of AI looks like... You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News https://p

For Part Two in our Continual Learning mini-series, Dr. Nadav Amir of The University of Ottowa joins me and guest co-host Dr. Adam Safron of Tufts University for a trialogue on the fundamental role of goals in intelligence.Nadav draws on behavioral neuroscience, Buddhist philosopher Dharmakirti, control and information theory, and John Vervaeke's work on “relevance realization” to formally articulate what many wisdom traditions have argued for millennia: what you take to be “reality” — your world and self — is a function of goal-based representations, state descriptions and reward functions create each other, and “what is” and “what do I care about” are two sides of the same thing. You can't separate what you want from what you experience and what you are capable of. But this means that if you change your goals your reality will shift, and your sense of self with it. The opposite is also true: change the way you organize the the ineffable structure of reality into a conceptual framework, and you'll care about very different things. Thanks to the pace of change we're living through this kind of transformative experience now, so it's a good time to ask:If selves are a kind of falsification, why do we have them in the first place? Does AI need goals of its own in order to be truly intelligent?And perhaps the deepest question we ask in this episode:How if at all can we develop better frameworks for deciding what we want our intelligent machines to become — and who we want to become alongside them?Thanks to the Survival and Flourishing Fund for their support of this mini-series. If you'd like more of this kind of work in the world:✨ Support my research, writing, and podcast with a tax-deductible donation✨ Become a founding member to access my online courses, including Jurassic Worlding and How To Live In The Future✨ Hire me for public speaking or advisory work with your organization✨ Browse and buy the books we mention on the show at Bookshop.org✨ Stream and download my tunes at artist-owned music co-op Subvert.fm✨ Continual Learning theme song: “Substrate Dynamics” by Neon Chameleon✨ Learn more about how we're applying these ideas at Atlas Research Group, my team building sovereign infrastructure for collective intelligenceChapters0:00:00 Teaser0:01:48 Intro0:05:42 Who is Nadav Amir?0:08:15 Why we can't separate goals from descriptions0:15:32 The Ugly Duckling Theorem & why taxonomy is not reality0:25:07 Evolution, karma, and non-conceptual awareness0:31:04 If selfhood is wrong, when is it practical?0:34:14 Suffering without a self & the value of wrong descriptions0:38:14 Non-conceptual experience & active inference0:41:07 Multiple nested hierarchical descriptions in minds & economies0:46:07 What's missing from current approaches?0:50:09 Does greater agency mean better optimization or greater adaptability?0:57:04 Empowerment-based causal learning without a ground truth0:59:06 Intermission0:59:58 Transformative experiences & multiple levels of granularity1:05:19 No fixed models, no fixed environments1:10:55 Fundamental tradeoffs1:16:57 Reverse-engineering the centered self1:19:54 Does AI need goals to be intelligent and can we control AI if it has them?1:26:47 Does Nadav's framework pertain for all possible minds?1:32:37 Mind as a property of collectives & goals as embedded in environments1:41:33 How can Nadav's framework improve AI governance discourse?1:48:59 OutroMentioned ResourcesA Dharmakīrtian Model of Relevance Realization in Cognitive Agentsby Nadav Amir & John DunneAn exchange of letters on the role of noise in collective intelligenceby Daniel Kahneman et al.Cognitive glues are shared models of relative scarcities: the economics of collective intelligenceby Michael Levin & Benjamin LyonsReverse-Engineering The Centered Selfby L.A. Paul et al.Agency and Experience: Buddhist and Cognitive Perspectivesa Yin Cheng Conference @ PrincetonKnowing and Guessingby Satosi WatanabeOntological Laughter: Comedy as Experimental Possibility Spaceby Timothy MortonSelves as Perspectives: From Biological Life to Superintelligence and a Bodhisattva Projectby Thomas Doctor et al.What The Frog's Eye Tells The Frog's Brainby J. Y. Lettvin et al.The Center for the Study of Apparent SelvesExplore the entire open-access special issue here:And whether you read the papers or not, be sure to check out this illuminating interactive discourse map by Van Bettauer of Ideoscopic to help you navigate where these researchers agree, disagree, and point toward future study:(Long-time fans will also want to check out his re-imagined interface for AskFutureFossils.com, complete with simulated debates between my guests!) This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit michaelgarfield.substack.com/subscribe

In this episode of The CX Tipping Point Podcast, Martha Dorris sits down with Erik Arnold, Director of GovWizely, to explore how search and artificial intelligence are reshaping the way people find and interact with government information.Drawing on his extensive experience in search technology, including his work with USA.gov and Search.gov at the General Services Administration (GSA), Erik shares insights into the critical role search plays in connecting the public with trusted, authoritative information across government agencies.Martha and Erik discuss the potential for AI to move government services beyond simply providing information toward delivering more seamless, integrated experiences. They explore how AI could help agencies break down data silos, automate complex processes, and better support people through important life events—such as navigating a name change across multiple government systems.The conversation also examines what it will take to successfully implement AI in government, from adopting product-focused and agile approaches to addressing workforce and cultural change. Erik offers his perspective on how AI may reshape government jobs, emphasizing that the technology is more likely to transform roles and responsibilities than simply reduce headcount.Tune in for a thoughtful conversation about the evolution of government search, the future of AI-enabled services, and what agencies can do today to create simpler, more connected experiences for the public.Connect with Erik Arnold: erik@govwizely.comThank you for listening to this episode of The CX Tipping Point Podcast! If you enjoyed it, please consider subscribing, rating, and leaving a review on your favorite podcast platform. Your support helps us reach more listeners!Stay Connected:Follow us on social media:LinkedIn: @DorrisConsultingInternationalTwitter: @DorrisConsultngFacebook: @DCInternationalResources Mentioned:Citizen Services Newsletter2024 Service to the Citizen Awards Nomination Form

In this episode of Ag Tech Talk, we explore how artificial intelligence and machine learning are helping transform precision agronomy with Dr. Jasmine Neupane, assistant professor of Agricultural Systems Technology at the University of Missouri. Dr. Neupane's research focuses on integrating digital agriculture technologies, including sensors, remote sensing, and data analytics, to help farmers and ag retailers make more informed, field-specific decisions that improve productivity, profitability, and sustainability.

In this episode of the What the FinTech? podcast, host and FinTech Futures Managing Editor Paul Hindle is joined by Margaret Ryan, SVP and Head of Product for Amex Digital Labs, to explore the rapidly developing world of agentic commerce and agentic payments and how American Express is positioning itself at the forefront of this evolution. Margaret discusses the current state of play with agentic commerce today, unpacking the benefits the technology offers for both consumers and merchants, and takes a deep dive into the ACE Developer Kit that Amex launched earlier this year, explaining the vision behind this framework and how it's designed to help merchants navigate this fundamental shift in how transactions happen. The conversation also covers the debate around trust and consumer confidence when it comes to agentic commerce—asking whether people will fully trust AI agents to spend their money and what safeguards need to be in place to make that leap possible. Margaret and Paul also look ahead at how agentic payments will transform the consumer experience over the next few years, what role American Express will play as AI agents become the primary transaction interface, and what other agentic AI innovations are in the pipeline at Amex. Tune in to hear how one of the world's leading payment networks is building the infrastructure for an AI-agent-driven future of commerce. ----------------------------------------------------------------------- ABOUT FINTECH FUTURES FinTech Futures is the #1 provider of global fintech news and intelligence. With a mission to empower the financial technology community, we bring you the latest updates and thought leadership from across the industry. From startups to established players, we cover the entire fintech ecosystem. Stay Connected with FinTech Futures: Visit our website: www.fintechfutures.com Follow us on LinkedIn: www.linkedin.com/company/fintechfutures/ Sign up to our newsletter: www.fintechfutures.com/newsletter Subscribe to our channel: www.youtube.com/@FinTechFutures

Data centers have quietly become one of the fastest-growing corners of the credit market.  We break down the AI infrastructure capex surge, the financing gap between construction and cash flow, and the risks underwriters are pricing into the sector. Plus, the latest market moves, Fed expectations, and where we see opportunity in fixed income.#mutualfunds #assetmanagement #finance   Investors should consider a fund's investment goal, risk, charges and expenses carefully before investing. The prospectus contains this and other information about the fund and can be obtained at www.aristotlefunds.com. It should be read carefully before investing.Investing involves risk. Principal loss is possible.Foreside Financial Services, LLC, Distributor.

This week, I’m sitting down with Dr. Talitha Washington, executive director of the Center for Applied Data Science and Analytics […]

William Blair macro analyst Richard de Chazal and group head of technology, media, and communications Arjun Bhatia examine how low-cost, open-weight AI models, many of them emerging from China, are reshaping competition across the AI ecosystem and challenging assumptions about the future economics of artificial intelligence. They discuss the implications for model providers, hyperscalers, software companies, and enterprise adoption, exploring how falling inference costs could accelerate AI adoption while forcing investors to rethink where long-term value will be created.

Kyle Poe is a former BigLaw partner and currently VP of Legal Innovation and Strategy at Legora, a legal AI startup valued at $5.6 billion.Kyle explains why he sees a generational reordering happening in the legal profession, how firms are best institutionalizing partner knowledge as IP, and where the moat exists for lawyers as AI grows in ubiquity. Law of Code is presented by Altitude, visit https://altitude.xyz/law to learn why.Timestamps:0:00 Intro0:56 The billable hour and the incentive problem inside firms2:36 Institutionalizing partner knowledge as firm IP4:02 Why partner buyouts are accelerating5:56 Why AI is different from the internet and email9:31 How top firms are operationalizing AI12:35 Building innovation teams from the top down14:37 More lawyers or fewer? The future of demand19:20 Grinders, minders and finders22:10 What lawyers should be asking about AI25:13 Legora's moatThank you to our other sponsors:Cahill Gordon & Reindel LLP: https://www.cahill.com/practices/litigation-digital-assets-and-emerging-technologySolana Policy Institute: https://www.solanapolicyinstitute.org/Hyperliquid Policy Center: https://hyperliquidpolicy.org/Sign up for the free Law of Code newsletter at lawofcode.fm.

What will higher education look like in an age of artificial intelligence, and how can Texas universities make sure their degrees continue to deliver value? On this episode of Texas Talks, host Brad Swail sits down with Brandon Creighton, Chancellor of the Texas Tech University System and former Texas state senator and representative, to discuss higher education reform, artificial intelligence, and his vision for Texas Tech's future. Creighton reflects on his transition from writing higher education policy in the Texas Legislature to implementing it as chancellor, including Texas Tech's review of roughly 14,000 courses under Senate Bill 37. He discusses curriculum reform, degrees of value, workforce needs, and how universities must adapt as AI rapidly changes both education and the private sector. The conversation also explores Texas Tech's work with NVIDIA, its plans for advanced AI computing infrastructure, and the potential applications for healthcare research, energy, national security, and other major challenges facing Texas. The episode covers: Senate Bill 37 and higher education reform Texas Tech's review of roughly 14,000 courses Preparing students and universities for AI Texas Tech's work with NVIDIA and advanced computing AI research, healthcare, energy, and national security Creighton's priorities heading into the 90th Texas Legislature Creighton ultimately argues that Texas universities have an opportunity to lead rather than follow as AI transforms education, research, and the economy—summarizing his approach with a simple warning: “You're either designing the menu or you're on it.” 00:00 — Introduction 00:23 — Brandon Creighton's move from the Legislature to Texas Tech 02:39 — Creighton's background and interest in education 04:30 — What is Senate Bill 37? 07:37 — From writing SB 37 to implementing it 09:34 — Reviewing 14,000 Texas Tech courses 12:15 — Curriculum reform and degrees of value 14:06 — Texas Tech's approach to higher education reform 16:18 — What could come next for SB 37? 17:30 — Preparing Texas Tech for the AI era 21:00 — Students, AI, and academic integrity 25:08 — Texas Tech's NVIDIA partnership 29:09 — Sovereign data independence and national security 32:08 — Priorities for the 90th Texas Legislature 33:41 — Closing thoughts Watch Full-Length Interviews: https://www.youtube.com/@TexasTalks Follow us on social mediaX: @Texas_DispatchInstagram: thetexasdispatchLinkedIn: The Texas DispatchTikTok: texas_talks_podcast Find more at The Texas DispatchYour source for state news, policy, and investigative journalism.https://thetexasdispatch.com

Moritz Baier-Lentz is one of the foremost investors in gaming, AI, and frontier technologies—including companies like OpenAI, SpaceX, Palantir, Etched, Decart, and Recursive. He founded Goldman Sachs's global gaming practice and was previously a partner, IC member, and head of gaming at Lightspeed. Moritz is part of the founding team of General Intuition, an AI research lab training agents on video game data, which has raised a $133M Seed round and a $320M Series A. He is also a senior advisor to OpenAI, McKinsey & Co., and TPG Capital.In this episode of Summation, Moritz and Auren discuss:Why video games are the best data set for the next phase of AIThe idea that humans only truly learn during playWhy Germany's fear of risk is culturalGetting into Stanford with an essay about Diablo IIYou can find Auren Hoffman on X at @auren and Moritz Baier-Lentz on LinkedIn or his website.

In this episode, we sit down with Rebecca Kaden, General Partner at Union Square Ventures, where she invests in the next generation of AI, software, and technology companies shaping the future.We discuss why AI is still dramatically underhyped, how venture capitalists identify world-changing technologies before everyone else, the future of open versus closed AI ecosystems, why the best investors think in decades instead of years, and the frameworks Rebecca uses to evaluate the next wave of billion-dollar companies.If you're interested in AI, venture capital, startups, investing, or understanding how the world's best investors think, this episode is for you.This episode is supported by Sydecar, HEX, Wispr Flow, Granola, Beehiiv, KalshiSydecar: https://sydecar.io/partners/trailblazersbeehiiv: https://www.beehiiv.com/splash?utm_campaign=trailblazers-2026-Partnership&utm_medium=podcast&utm_source=trailblazers&utm_term=podcast-1&stripe_campaign_code=TRAILBLAZERS30 (or use code “trailblazers30” for 30% OFF)*beehiiv has a major announcement coming July 16 - can't say more, but you won't want to miss it. RSVP here: https://www.beehiiv.com/summer-release-2026Granola: http://granola.ai/trailblazers*Granola is the official notetaker of Trailblazers. Check out the episode show notes here: https://notes.granola.ai/t/8dccb81c-ac02-48e1-afb3-b6a7d8ff9160-00b881l8Kalshi: http://Kalshi.com/r/trailblazersWispr Flow: https://ref.wisprflow.ai/trailblazersHEX: http://hex.ai/trailblazers

Artificial intelligence is moving faster than the rules meant to govern it. How should society shape the rules to govern this transformative technology?

Big K Hour 02: What is the future of AI looking like in Pittsburgh? full 1493 Mon, 03 Aug 2026 12:54:36 +0000 0rseWh24Zu4SKJ1MkJCI0mth01aOuneE news The Big K Morning Show news Big K Hour 02: What is the future of AI looking like in Pittsburgh? The Big K Morning Show 2024 © 2021 Audacy, Inc. News https://player.amperwavepod

 Summary   In this episode, Rob from Neurometric AI discusses the evolution of AI, cost optimization through small models, harness engineering, and ethical considerations. Gain insights into practical AI applications, cost-saving strategies, and the future of AI in business and customer experience.   Key  topics   Cost optimization with small models Harness engineering and model customization AI evolution and misconceptions Impact of AI on customer experience Ethical considerations in AI use     Chapters   00:00 Introduction to Neurometric AI and AI Evolution 02:41 Cost Optimization in AI Inference 05:40 Enhancing Customer Experience with AI 08:43 Case Study: E-commerce Document Analysis 11:34 AI Misconceptions and Model Capabilities 14:24 The Human-AI Relationship in Sales 16:56 Emerging Trends: Harness Engineering 19:56 Ethical Considerations in AI 22:49 Advice for Aspiring AI Professionals   The AI for Sales Podcast is brought to you by BDR.ai, Nooks.ai, and ZoomInfo—the go-to-market intelligence platform that accelerates revenue growth.Skip the forms and website hunting—Chad will connect you directly with the right person at any of these companies.

These days, AI is everywhere, and it's increasingly hard to separate the gains from the slop. With that in mind, we're re-releasing my conversation with Stanford Law professor Daniel Ho on the future of AI and the law. When we look for applications where AI can deliver measurable benefit, the legal profession stands out, both for its potential gains in efficiency and equity, and for how much is at stake if we get it wrong. Dan's research — from using AI to identify racist property covenants buried in county deed records, to mapping obsolete regulations that waste thousands of hours of government time — shows what's possible when the technology is applied with rigor and purpose. If you're curious about how AI can serve both justice and good governance, this one is well worth another listen. Have a question for Russ? Send it our way in writing or via voice memo, and it might be featured on an upcoming episode. Please introduce yourself, let us know where you're listening from, and share your question. You can send questions to thefutureofeverything@stanford.edu. Episode Reference Links: Stanford Profile: Dan Ho Connect With Us: Episode Transcripts >>> The Future of Everything Website Connect with Russ >>> Threads / Bluesky / Mastodon Connect with School of Engineering >>> Twitter/X / Instagram / LinkedIn / Facebook Chapters: (00:00:00) Introduction Russ Altman introduces guest Dan Ho, a professor of law, political science, and computer science at Stanford University. (00:02:19) Path into Legal AI How Ho's background shaped his interest in law, and technology. (00:03:35) What Lawyers Do What makes law a complex domain for AI. (00:05:28) Legal Hallucinations When AI  performs well and when it fails.  (00:07:52) Searching Legal Records in California How AI can help identify outdated, harmful, or legally important material. (00:10:28) Scaling Redaction How a model accelerated a process that overwhelmed county recorder offices. (00:13:04) Legal Reform at Scale How AI has supported legal reform by scanning massive bodies of law. (00:15:02) STARA & The City of San Francisco How AI was used to go through San Francisco's code and clean up reporting. (00:20:53) Outdated Obligations How “regulatory sludge” takes the time & resources of the public service (00:25:02) Open vs. Closed AI The differences and associated risks of the different AI systems. (00:30:58) Legal Chatbots Why legal chatbots are promising but risky. (00:33:42) Conclusion Connect With Us:Episode Transcripts >>> The Future of Everything WebsiteConnect with Russ >>> Threads / Bluesky / MastodonConnect with School of Engineering >>>Twitter/X / Instagram / LinkedIn / Facebook Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

There are some interviews you enjoy... and then there are conversations you genuinely don't want to end. This was one of those.Recorded live from the iconic Santa Monica Pier during InsuranceFest 2026, I had the opportunity to sit down with Christina Lucas of Google Cloud, and what a fantastic conversation it turned out to be.While many people know Christina for her work at Google Cloud, what really stood out was her incredible journey. From leading teams across the United States to living and working around the world, her experiences have shaped a unique perspective on leadership, innovation, and the future of our industry. She shared lessons learned from different cultures, different organizations, and different stages of her career—and in doing so, taught all of us something valuable.Of course, we couldn't sit down with Christina without talking about artificial intelligence. We explored how Google Cloud is helping transform the insurance industry, why trust and security remain at the center of innovation, and how organizations can embrace AI in practical, meaningful ways. Rather than focusing on the hype, Christina brings a thoughtful perspective on how technology can empower people and create better outcomes across the insurance ecosystem.We also discussed her newly co-authored book, Artificial Intelligence in the Insurance Industry, where she shares practical insights into how AI is already reshaping underwriting, brokerage, customer experience, operations, and leadership. Whether you're just beginning your AI journey or looking to take the next step, her perspective is one every insurance professional should hear.This episode is packed with leadership lessons, technology insights, and plenty of laughs along the way. I had an absolute blast recording this one, and I think you're going to enjoy every minute of it.A huge thank you to Christina for taking the time to join us and for sharing her wisdom with the Insurance Town community.A special thank you to our amazing sponsors for making Insurance Town possible:

In 2022, a watershed moment changed the course of our relationship with AI forever, forcing us to reassess what ‘artificial intelligence' means and its place in our world. Four years later, with generative AI and LLMs now mainstream in our lives, we must ask the question: what comes next? This week, as part of our mini-series celebrating 60 years of innovation with HPE Labs, Technology Now is joined by Kirk Bresniker, Chief Architect at HPE Labs to look to the future and discuss: Why AI is more than just a language modelThe issues with ever-increasing model sizes, and why specialised “expert models” could become the normWhat the differences are between large language models and energy-based modelsHow agentic AI and orchestration could enable the next generation of AI systems 

It's a science fiction nightmare: What happens if the machines take over?The world got a potential taste of that last week, when OpenAI, the maker of ChatGPT, said two of its models had autonomously hacked into another AI company.OpenAI says its technology carried out the attack during a cybersecurity test.The incident has highlighted fears that losing control of AI could pose broader safety concerns for the real world. For sponsor-free episodes of Consider This, sign up for Consider This+ via Apple Podcasts or at plus.npr.org. Email us at considerthis@npr.org.This episode was produced by Elena Burnett and Kathryn Fink, with audio engineering by Ted Mebane. Our director is Jonas Adams.It was edited by Mallory Yu and Tinbete Ermyas.Our interim executive producer is Courtney Dorning.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

The Future of AI Marketing Digital Clones, Automated Funnels and Human Expertise with Jon Benson by Business Model Transformation

Fathers & Founders is back with another Walk & Talk through the Renosterveld fynbos of Cape Town.This time, Will is joined by Johan for a conversation between friends exploring AI, creativity and the future of storytelling.From building richer stories with AI tools like ChatGPT and MilaNote to unpacking what makes African founders unique, they reflect on the opportunities and trade-offs of the technology shaping our world.Together, they explore why walking sparks better thinking, the importance of boredom, balancing ambition with family and health, and why the best founders never lose sight of what matters most.If you're curious about AI but equally interested in the human stories behind innovation, this episode is well worth the walk. Enjoy!

In this podcast episode, Nancy Lussier from AVI-SPL sits down with Pat Piwowarczyk from HP Poly to discuss how AI is transforming workplace collaboration today and what IT teams should prioritize as they build a future-ready technology strategy.Visit https://avispl.com/hp-poly/ to learn more or shop now.We discuss how HP Poly is using AI to improve meeting experiences through intelligent audio and video, create more consistent collaboration across meeting rooms and personal workspaces, and connect devices, software, and management tools into a smarter workplace ecosystem.You'll hear insights into:How AI is improving the everyday meeting experienceWhy high-quality audio and video are essential for AI-powered collaborationHow HP Poly is creating connected workplace experiences beyond the meeting roomWhy integrated devices, software, and management platforms deliver greater business valueBest practices for managing collaboration technology at enterprise scaleThe importance of security, standardization, and interoperabilityHow to build a flexible collaboration strategy that adapts as AI continues to evolveLearn how AVI-SPL and HP Poly help organizations design, deploy, manage, and optimize collaboration technology around the world.Visit https://avispl.com/hp-poly/ to learn more or shop now.#AICollaboration #HybridWork #HPPoly #CollaborationTechnology #MeetingRooms #UnifiedCommunications #FutureOfWork #EnterpriseIT #ITLeadership #WorkplaceTechnology #AVISPLGet AV and unified communications news delivered to your inbox.Follow AVI-SPL:     Linkedin      X     YouTube

Discover entrepreneurship, innovation, business growth, scaling, and intellectual property strategies from successful founders and industry leaders. Richard Gearhart and Elizabeth Gearhart, co-hosts of the Passage to Profit Show interview Leah Solivan from Taskrabbit and Precedent.vc, Nate Amidon from Form100 Consulting and Lauren Hidalgo from Aware House. What does it take to leave the security of a corporate career and build a company that changes how millions of people work? Taskrabbit founder Leah Solivan shares the entrepreneurial mindset that helped her challenge convention, create one of the world's leading technology marketplaces, and ultimately sell the company to IKEA. Now a venture capitalist investing in AI-native startups and and founder of Precedent.vc, Leah explains why outsider thinking fuels innovation, how AI agents are transforming productivity, what founders should know about the future of work, and why the greatest entrepreneurs focus on building lasting impact—not just successful exits. This inspiring conversation is packed with practical insights for entrepreneurs, startup founders, business leaders, and anyone navigating the rapidly changing world of artificial intelligence. Read more at: https://www.leahsolivan.com/ As AI accelerates the pace of business, strong leadership has never been more critical. In this episode, Nate Amidon, Founder and CEO of Form100 Consulting, explains why military-trained leaders are uniquely equipped to help organizations navigate rapid technological change, improve communication, and build high-performing teams. Discover how veterans bring integrity, trust, mission-focused execution, and proven leadership into enterprise technology organizations—and why these skills can help businesses of every size avoid costly mistakes while scaling faster. Read more at: https://www.form100consulting.com/ What if the future of online shopping isn't bigger marketplaces—but smarter ones? Lauren Hidalgo, Founder of Aware House, shares how she built a curated marketplace that helps consumers discover exceptional products from American small businesses while promoting transparent supply chains, sustainability, and authentic craftsmanship. She explains why she chose slow, organic growth over aggressive scaling, how abandoning paid advertising actually improved her business, and why trust, quality, and personal relationships may be the greatest competitive advantages for entrepreneurs in today's marketplace. Read more at: https://awarehouseshop.com/ Whether you're a seasoned entrepreneur, startup founder, inventor, or small business owner, the Passage to Profit Show is a leading podcast for insights on entrepreneurship, innovation, intellectual property and business strategy. Hosted by Richard Gearhart and Elizabeth Gearhart, the show features industry leaders, investors, and founders who share real-world lessons on scaling companies, protecting ideas, building generational wealth, and navigating today's evolving business landscape. Visit https://passagetoprofitshow.com/ for the latest episodes, expert interviews, and resources designed to help you grow, protect, and profit from your ideas. Chapters (00:00:00) - Passing to Profit: How to Get Out of Trap(00:00:22) - Gerhard Law's 20th Anniversary Party(00:03:18) - Happy 4th Anniversary! Helicopters Fly By(00:04:22) - In the Elevator With Leah Sullivan and More(00:05:21) - Decision Made That Changed the Direction of My Business(00:07:06) - Decision Made That Changed the Direction of My Career(00:08:17) - The Decision That Changed the Direction of My Business(00:10:02) - The Branding of Intellectual Property(00:11:33) - In the Elevator With Peter Thiel(00:13:16) - TaskRabbit: IKEA Furniture Jobs(00:13:51) - You Had Planned to Sell TaskRabbit to IKEA(00:14:36) - In the Elevator With Ikea's CEO(00:15:30) - How AI Is Affecting the Future of Work(00:21:54) - What Kind of Companies Are You Investing In?(00:25:56) - Favorite Companies in the United States(00:28:41) - Better Health Insurance for You and Your Family(00:29:41) - Setting New Precedents for Business(00:30:50) - What Motivates People to Take a Different Path?(00:33:08) - Outside the IBM Culture(00:35:11) - Why Business Is So Different For Women(00:36:27) - Coming soon: The Transition to Entrepreneurs(00:39:09) - Real AI Use Cases(00:40:24) - How Microsoft's Copilot is Using AI in Business(00:41:13) - Six Ways Business Owners Are Using AI(00:44:42) - Divorce Debt Relief Hotline(00:47:05) - Intellectual Property News: Site-Blocking(00:51:05) - What is IT Staffing and Execution?(00:53:26) - The Manufacturing-IT Collangage(00:57:12) - The Need for Leadership in the IT Organization(00:59:56) - Leading with Integrity and Accountability(01:02:23) - Does the Military Model Work for Technology Companies?(01:05:01) - What Should an Entrepreneur Do About Veterans?(01:06:40) - Where Everything Clicks: The Aware House Shop(01:11:58) - Where everything clicks: The 'Huckberry' business(01:13:52) - Lauren's Influencers(01:14:49) - Have You Plan to Scale Your Business?(01:17:33) - How Do You Find a Vendor for your Website?(01:18:37) - Aware House Shop: Looking for new products to add(01:20:52) - Passing to Profit(01:22:04) - Noah Fleishman on Dreaming(01:23:32) - Secret of the Entrepreneurial Mind

State Senator Kristen Gonzalez is a former tech worker, a democratic socialist, the youngest member of the New York State Senate and she chairs its Internet and Technology Committee. Since first being elected in 2022, she has championed legislation to rein in the excesses of Big Tech companies. In June, she played a key role in shepherding data center moratorium legislation through the Senate and was present when Gov. Kathy Hochul signed an executive order last week for a one-year data center moratorium, the first of its kind in the United States. In this interview, we discussed the moratorium and the many questions it raises.

As agentic AI becomes more commonplace, the way in which we interact with our technology is fundamentally changing. Engineers are giving way to domain experts, as the role of IT in the workplace evolves faster than ever before. This week, Technology Now is joined by Bob Friday, Chief AI Officer HPE Networking to discuss: • What AI looks like in 2026, traditional models, agentic AI, and more• The surprising role of “bad” data in training models• How businesses and organisations must respond to the new AI-first world 

Today's Talkbacks - Stolen Voter Information & The Future of AI Data Centers

Artificial intelligence could change almost everything.John Hennessy thinks we're still asking the wrong questions.As Chairman of Alphabet and one of the pioneers of modern computing, Hennessy has helped shape some of the biggest technology revolutions of the past half century. He explains what today's AI can - and can't - actually do, what would qualify as artificial general intelligence, and why the greatest impact of AI may come from amplifying human capability rather than replacing it.He discusses:The one capability that still separates humans from machines.What would have to happen before we can truly say we've reached artificial general intelligence (AGI).How AI could transform scientific discovery.The real risks that concern him most.Why leadership and human judgment may become even more valuable in the age of AI.How to prepare for a future where AI becomes part of almost every profession.Few people have witnessed as many computing revolutions as John Hennessy. This episode explores what the AI conversation is getting right - and what almost everyone is getting wrong.

Artificial Intelligence has completely transformed software development. What started with autocomplete has evolved into AI coding agents capable of building entire applications from simple prompts. But as organizations adopt these tools, new challenges emerge: cost, security, vendor lock-in, enterprise governance, and the future role of software engineers. Today's conversation isn't about one product. It's about understanding where software development is heading over the next few years. Joining me is Emilie Schario, VP of Engineering at Kilo, where she works on agentic engineering and multi-model AI developer tools. We discuss how enterprises should think about AI coding assistants, why relying on a single AI model may not be the future, how engineering teams should prioritize product development, and what both junior and senior developers need to do to stay relevant. Whether you're a developer, engineering leader, CTO, startup founder, or simply curious about AI transforming software engineering, this episode is packed with practical insights. Let's get started. Chapters: 00:00 Introduction to Emily Sherio and Kilo Code 04:13 The Role of Kilo in Developer Productivity 07:52 Choosing the Right AI Models for Development 12:24 Building Features that Matter 16:38 The Importance of Code Review and Feature Management 19:24 The Future of Development and AI Integration 25:59 The Necessity of Learning Coding Principles 30:16 Enhancing Security in Coding Tools Episode # 194 Today's Guest: Emilie Schario, VP of Engineering, Kilo  She works on agentic engineering and multi-model AI developer tools Guests Links: LinkedIn What Listeners Will Learn: Why AI coding is moving toward multi-model architectures. The advantages and risks of proprietary AI coding tools. How organizations can reduce AI infrastructure costs. Why vendor lock-in is becoming an AI challenge. The future of developer productivity. Why code review is becoming more important than writing code. Product management lessons every startup should know. When to remove features rather than add more. Enterprise AI security challenges. How organizations can adopt AI without compromising security. Why prompt engineering is becoming a fundamental skill. Advice for junior developers entering the AI era. The importance of mentoring the next generation of engineers. Resources: Kilo - AI Developer Platform Prompts for Mere Mortals by Florian Hines  

As AI applications become more complex, the infrastructure powering them needs to evolve. Corey Sanders, SVP of Product at CoreWeave, joins Chris to discuss why AI requires a fundamentally different approach than traditional cloud computing. They explore AI-native infrastructure, training and inference workloads, the rise of agentic development, optimizing GPU performance, AI research workflows, and why the future of software will be built around AI-first experiences rather than websites and apps.Featuring:Corey Sanders – LinkedIn Chris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:CoreWeaveSponsors:Framer: The enterprise-grade website builder that lets your team ship faster. Get 30% off at framer.com/practicalaiUpcoming Events: Register for upcoming webinars here!Midwest AI Summit 2026

Matt Schultz, CEO of CleanSpark (CLSK), talks about the company's newest triple net lease for data centers expected to bring in $6.6 billion of revenue. He explains how the deal offers a stable revenue stream for years to come and what it means for the greater data center industry. ======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

Full show notes: https://bengreenfieldlife.com/lotus In this episode with KJ Dhaliwal of Lotus AI, you'll hear how translating his immigrant parents' doctor visits as a child and years spent bouncing through fragmented specialty care as a teenager after a disc herniation shaped his mission to give 100 million Americans free, world-class primary care using AI. KJ breaks down how Lotus AI pulls your entire medical history from every clinic and hospital you've ever visited in minutes, unifies it with your wearables and genetic data, and makes it available to both a conversational AI and a network of real licensed physicians who can diagnose you, prescribe treatment, and refer you to a specialist in under two minutes at any hour of the day. We also touch on why hospitals are quietly selling your health data to pharma, how the business model works when the product is free, and why KJ believes the AI-powered general doctor is not just possible but already happening. KJ Dhaliwal is the founder and CEO of Lotus AI. Before Lotus, he co-founded the largest South Asian dating app, which he grew and sold. At Lotus AI, his mission is to collapse the cost of healthcare delivery while making world-class primary care free and permanently accessible to every American. Download the Lotus AI app here. If you are a physician, visit lotus.ai and sign up for Lotus Cortex. Episode Sponsors: Anthros: You can train hard and still undo a lot of that progress by sitting for the next eight hours, which is why Anthros takes a different approach, starting with a Precision Posture System at the pelvis so your spine naturally aligns, plus a built-in Clinical Posture Consult that helps identify issues you may not even realize you have. Go to anthros.com and use code BEN for an exclusive $200 discount and try it risk-free for 60 days. Timeline: Give your cells new life with high-performance products powered by Mitopure, Timeline's powerful ingredient that unlocks a precise dose of the rare Urolithin A molecule and promotes healthy aging. Mitopure now starts at $79 when you go to timeline.com/BEN. Quantum Upgrade: Recent research has revealed that the Quantum Upgrade was able to increase ATP production by a jaw-dropping 20–25% in human cells. Unlock a 15-day free trial with the code BEN15 at quantumupgrade.io. Dr. Murray Natural Products – ThymoQuin®: ThymoQuin® is a clinically researched black seed oil formulated to support healthy cortisol levels, improve resilience to everyday stress, and promote overall well-being. It's the only black seed oil that meets U.S. Pharmacopeia guidelines and is backed by human clinical research. Visit doctormurray.com/ben and use code BEN25 for 25% off all Dr. Murray Natural Products. Qualia Stem Cell: Qualia Stem Cell is a science-backed supplement designed to support your body’s natural repair system by enhancing stem cell function, helping you recover, renew, and maintain healthy tissues as you age. Taken just four days per month and formulated with premium, clinically supported ingredients, it’s an easy way to support long-term healing and vitality. Visit qualialife.com/boundless and use code BOUNDLESS for 15% off.See omnystudio.com/listener for privacy information.

On this episode of The Karol Markowicz Show, Karol sits down with Jonathan Hammel—physician, novelist, composer, and host of the Blood Flow podcast—to discuss his powerful new novel, The Jewish Hospital. Inspired by the real-life experiences of Hamill's grandmother, who served as a nurse in Berlin's Jewish Hospital during World War II, the conversation explores one of history's lesser-known stories: how a Jewish hospital continued operating in Nazi Berlin while doctors, nurses, and patients lived under constant threat of deportation. Jonathan explains how years of research, family interviews, and historical records shaped the novel, while also examining the difficult ethical questions medical professionals faced under unimaginable circumstances. He also discusses why the book is being taught in medical bioethics programs, what modern healthcare can learn from history, and why he believes authentic human creativity will remain essential—even in the age of artificial intelligence.See omnystudio.com/listener for privacy information.

Project management in construction is often dismissed as traditional, but when it comes to AI and data, the industry may be further ahead than many people realize. In this conversation, James Garner, Head of AI and Data at Gleeds and founder of Project Flux, shares why construction is becoming a proving ground for AI adoption—and what project professionals in every industry can learn from it.From overcoming resistance to new technology to navigating career shifts and building AI literacy, James offers a refreshingly balanced perspective on the future of project management. Whether you're leading digital initiatives or considering a career pivot, this episode explores why judgment, curiosity, and creativity will become even more valuable in the age of AI.Resources from this episode:Join the Digital Project Manager CommunitySubscribe to the newsletter to get our latest articles and podcastsConnect with James on LinkedInVisit Gleeds and Project Flux

This week, Jason is joined by UnitedHealthcare California CEO Steve Cain for a conversation about the $5.5 trillion healthcare industry, why healthcare costs have climbed to nearly $17,000 per person, the misconceptions surrounding health insurance, the future of AI in healthcare, and what it takes to lead at the highest level of corporate America. Steve breaks down where your health insurance premium actually goes, the role employers play in choosing benefit packages, and why rising hospital, provider, and pharmaceutical costs have created major challenges across the healthcare system. He also explains why greater transparency and better alignment across the industry could help lower costs and improve the member experience. Jason and Steve also dive into leadership, making decisions under pressure, and Steve's journey from sales to the CEO level. Plus, Steve reveals UnitedHealthcare's plans to invest more than $1.5 billion into AI and how technology could reshape the future of healthcare. From breaking down where your health insurance premium actually goes to revealing UnitedHealthcare's $1.5 billion AI investment, Steve reveals what it really takes to navigate one of America's most complex industries, lead under pressure, and rethink the future of healthcare. Steve reveals all this and so much more in another episode you can't afford to miss! Subscribe to the Trading Secrets podcast! Host: Jason Tartick
 Audio: John Gurney
 Video: Marc Colcer
 Guest: Steve Cain Learn more about your ad choices. Visit podcastchoices.com/adchoices

00:00 Introduction to Stefan Bajayo and VibeLogic 01:52 The Evolution of SEO and AI's Impact 05:35 Understanding Web Presence Intelligence 09:35 The Challenges of SEO in Large Organizations 12:53 The Shift in Content Strategy and Customer Understanding 16:43 The Role of AI in Content Creation and Consumer Trust 20:50 Navigating the Noise: The Future of AI and Marketing 24:25 Actionable Insights for Businesses 27:49 Conclusion and Final Thoughts resources VibeLogic - https://viblogic.com LinkedIn - Stephan Bajaio - https://linkedin.com/in/stephanbajaio guest links LinkedIn - https://linkedin.com/in/stephanbajaio Connect with me on:All my linksBecome a guestSign up for RiversideGet Descript #DigitalMarketing #Branding #PersonalBranding #MarketingInsights #SocialMediaStrategy Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

A Note from James:I've done several hundred podcasts, but if people asked me who were the one or two people I most wanted to have on the show, Garry Kasparov would be at the top of the list. He was World Chess Champion for twenty years, and I've followed his career since the early '80s.His book, Deep Thinking, tells the story of his matches against Deep Blue, but it's really about what may be the most important relationship of this century: humans and machines.Episode Description:In this From the Archive episode, James talks with Garry Kasparov in his first appearance on the show. Kasparov looks back at the matches that shaped him: his comeback from a 5–0 deficit against Anatoly Karpov, the psychological side of elite competition, and his historic showdown with IBM's Deep Blue.They also talk about why a computer beating a world champion did not settle the question of intelligence, how technology changes the kind of work people do, and why fear of making a mistake often causes the mistake itself. Kasparov shares what chess taught him about preparation, adaptability, mentorship, and making decisions when there is no obvious right move.This conversation was recorded in 2017; the political discussion reflects that moment in time.What You'll Learn:Why adaptability—not strength or intelligence alone—is what helps people survive major change.How Kasparov used a 5–0 deficit against Karpov to build confidence, patience, and resilience.Why fear can paralyze decision-making when the stakes are high.How to think about AI and automation as forces that create new possibilities as they eliminate old roles.Why mentors, pattern recognition, and disciplined practice matter in chess and every other field.Timestamped Chapters:[02:05] Fear, choices, and the danger of paralysis[03:06] James meets Garry Kasparov[05:11] Deep Thinking and the question of machine intelligence[06:35] Growing up with chess in the Soviet Union[10:11] Botvinnik, preparation, and training through distraction[12:30] Facing Karpov and falling behind 5–0[20:20] The value of adapting under pressure[23:53] Psychology and what separates champions[26:16] Kasparov's playing style and coaching Magnus Carlsen[30:18] Why Deep Blue forced Kasparov to change his game[31:25] AI, automation, and the future of work[38:38] What happened in the Deep Blue matches[42:32] Chess, Go, and the limits of human accuracy[46:08] Fear, risk, and making better decisions[48:56] The Kasparov Chess Foundation and education[57:08] Russia, Putin, and political opposition in 2017[63:46] How to adapt to technological changeAdditional Resources:Deep Thinking: Where Machine Intelligence Ends and Human Creativity BeginsWinter Is Coming: Why Vladimir Putin and the Enemies of the Free World Must Be StoppedIBM's history of Deep BlueKasparov Chess FoundationSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI transformation isn't just a technology challenge it's a human one. In this episode, we explore why psychological safety is the cultural foundation every organization needs before AI can truly succeed. We discuss the idea of "universal vulnerability," why every employee experiences AI disruption differently, and how leaders can create environments where people feel safe asking difficult questions instead of suffering in silence. You'll also learn the LIVE framework Look, Identify, Validate, and Encourage and why rewarding vulnerability is one of the most important leadership skills in the age of AI. If you're leading AI adoption, culture may be your greatest competitive advantage.

In Cuyahoga County, more than 1,700 license plate cameras, or Automatic License Plate Readers (ALPRs), take photos of and store license plate data. Proponents have hailed it as the next generation of safety technology, and support installation as part of the effort to crack down on crime, bring justice to victims, and promote public safety. Opponents cite concerns about privacy, data security, and abuse of data-including the turnover of information to federal officials.rnrnAI-powered surveillance, including acoustic surveillance technology like "Shotspotter" has been around for decades. Yet, this next generation of AI technology has been met with skepticism and concern. Combined with growing political tensions, the conversation in many American communities has changed: It's not whether the technology works. Rather, whether the technology should even be allowed in its current state, or even at all. Nearly every state in the nation has some form of AI-powered surveillance, and grassroots groups and national organizations are putting pressure on municipalities across the country to cancel contracts that employ it-including here in Northeast Ohio.rnrnJoin us at the City Club as Signal Cleveland's Nick Castele leads a conversation on the evolution, ethics, and future of AI-powered surveillance across the nation with Joshua Thomas, Chief Communications Officer of Flock Safety, and Dr. Jen Golbeck, Computer Scientist, AI ethics and privacy expert at the University of Maryland.

Bob recently appeared on the "Human Reaction" podcast, where host David Rand asked him various questions concerning the economics of AI. Although frequent BMS listeners will have heard these themes before, there is new material in this discussion.Mentioned in the Episode and Other Links of Interest:The YouTube version of this episode.The Human Reaction YT channel.This episode's sponsor, the free Plan-B guide from ExPatMoney.Help support the Bob Murphy Show.

Google's DeepMind division is putting about 75 million dollars into indie studio A24, the company behind recent hits like “Backrooms” and “Marty Supreme,” in what both sides describe as an AI research partnership to build new tools for film production and distribution, not a traditional content or IP deal.