Podcasts about future of ai

How do companies like Salesforce and Dell scale intelligence across every cloud?Aidan Gomez, co-founder and CEO of Cohere, explains how they're building AI that works across all enterprise systems and deploys anywhere, giving companies true flexibility and security.He joins Joubin Mirzadegan for a wide-ranging conversation on why synthetic data went from dismissed to indispensable, and how the race among AI labs is really unfolding.Guest: Aidan Gomez, co-founder and CEO of CohereConnect with Aidan: XLinkedInConnect with Joubin: XLinkedInEmail: grit@kleinerperkins.comLearn more about Kleiner Perkins

Watch the full episode with Gregg Braden here: https://youtu.be/bugFmExtrFoSupport this show http://supporter.acast.com/inspiredevolution. Hosted on Acast. See acast.com/privacy for more information.

In this episode, I speak with Thomas Bradley, founder of Clann AI, a groundbreaking platform that uses advanced computer vision technology to analyse player positioning and team dynamics, offering powerful insights into game flow, strategy and performance. Clann is not only transforming access to elite-level analysis in sport, but is also creating community, connection and shared knowledge across all levels of the game.Alongside his work in sport-tech innovation, Thomas is also deeply engaged in exploring the nature of reality itself. With a background in physics, he has put forward a new hypothesis suggesting that at its most fundamental level, reality is composed of self-replicating units of information, called femes. If this is true, it implies that the laws of physics are not fixed or eternal, but alive, evolving and shaped by history.Together we explore:The evolution of technology and AI in human developmentHow sport can be a profound site of community, meaning and shared storyWhat it means to co-create with AI rather than fear itHow our personal and collective worlds are always in motion, always unfoldingThis conversation is an expansive dialogue about sport, science, consciousness and the ongoing evolution of humanity. 

In this episode of Crazy Wisdom, host Stewart Alsop talks with Kevin Smith, co-founder of Snipd, about how AI is reshaping the way we listen, learn, and interact with podcasts. They explore Snipd's vision of transforming podcasts into living knowledge systems, the evolution of machine learning from finance to large language models, and the broader connection between AI, robotics, and energy as the foundation for the next technological era. Kevin also touches on ideas like the bitter lesson, reinforcement learning, and the growing energy demands of AI. Listeners can try Snipd's premium version free for a month using this promo link.Check out this GPT we trained on the conversationTimestamps00:00 – Stewart Alsop welcomes Kevin Smith, co-founder of Snipd, to discuss AI, podcasting, and curiosity-driven learning.05:00 – Kevin explains Snipd's snipping feature, chatting with episodes, and future plans for voice interaction with podcasts.10:00 – They discuss vector search, embeddings, and context windows, comparing full-episode context to chunked transcripts.15:00 – Kevin shares his background in mathematics and economics, his shift from finance to machine learning, and early startup work in AI.20:00 – They explore early quant models versus modern machine learning, statistical modeling, and data limitations in finance.25:00 – Conversation turns to transformer models, pretraining, and the bitter lesson—how compute-based methods outperform human-crafted systems. 30:00 – Stewart connects this to RLHF, Scale AI, and data scarcity; Kevin reflects on reinforcement learning's future. 35:00 – They pivot to Snipd's podcast ecosystem, hidden gems like Founders Podcast, and how stories shape entrepreneurial insight. 40:00 – ETH Zurich, robotics, and startup culture come up, linking academia to real-world innovation. 45:00 – They close on AI, robotics, and energy as the pillars of the future, debating nuclear and solar power's role in sustaining progress.Key InsightsPodcasts as dynamic knowledge systems: Kevin Smith presents Snipd as an AI-powered tool that transforms podcasts into interactive learning environments. By allowing listeners to “snip” and summarize meaningful moments, Snipd turns passive listening into active knowledge management—bridging curiosity, memory, and technology in a way that reframes podcasts as living knowledge capsules rather than static media.AI transforming how we engage with information: The discussion highlights how AI enables entirely new modes of interaction—chatting directly with podcast episodes, asking follow-up questions, and contextualizing information across an author's full body of work. This evolution points toward a future where knowledge consumption becomes conversational and personalized rather than linear and one-size-fits-all.Vectorization and context windows matter: Kevin explains that Snipd currently avoids heavy use of vector databases, opting instead to feed entire episodes into large models. This choice enhances coherence and comprehension, reflecting how advances in context windows have reshaped how AI understands complex audio content.Machine learning's roots in finance shaped early AI thinking: Kevin's journey from quantitative finance to AI reveals how statistical modeling laid the groundwork for modern learning systems. While finance once relied on rigid, theory-based models, the machine learning paradigm replaced those priors with flexible, data-driven discovery—an essential philosophical shift in how intelligence is approached.The Bitter Lesson and the rise of compute: Together they unpack Richard Sutton's “bitter lesson”—the idea that methods leveraging computation and data inevitably surpass those built from human intuition. This insight serves as a compass for understanding why transformers, pretraining, and scaling have driven recent AI breakthroughs.Reinforcement learning and data scarcity define AI's next phase: Stewart links RLHF and the work of companies like Scale AI and Surge AI to the broader question of data limits. Kevin agrees that the next wave of AI will depend on reinforcement learning and simulated environments that generate new, high-quality data beyond what humans can label.The future hinges on AI, robotics, and energy: Kevin closes with a framework for the next decade: AI provides intelligence, robotics applies it to the physical world, and energy sustains it all. He warns that society must shift from fearing energy use to innovating in production—especially through nuclear and solar power—to meet the demands of an increasingly intelligent, interconnected world.

Rani Radhakrishnan is a Principal at PwC US, leading work on AI-managed services, autonomous agents, and data-driven transformation for enterprises.The Future of AI Operations: Insights from PwC AI Managed Services // MLOps Podcast #345 with Rani Radhakrishnan, Principal, Technology Managed Services - AI, Data Analytics and Insights at PwC US.Huge thanks to PwC for supporting this episode!Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractIn today's data-driven IT landscape, managing ML lifecycles and operations is converging.On this podcast, we'll explore how end-to-end ML lifecycle practices extend to proactive, automation-driven IT operations.We'll discuss key MLOps concepts—CI/CD pipelines, feature stores, model monitoring—and how they power anomaly detection, event correlation, and automated remediation. // BioRani Radhakrishnan, a Principal at PwC, currently leads the AI Managed Services and Data & Insight teams in PwC US Technology Managed Services.Rani excels at transforming data into strategic insights, driving informed decision-making, and delivering innovative solutions. Her leadership is marked by a deep understanding of emerging technologies and a commitment to leveraging them for business growth.Rani's ability to align and deliver AI solutions with organizational outcomes has established her as a thought leader in the industry.Her passion for applying technology to solve tough business challenges and dedication to excellence continue to inspire her teams and help drive success for her clients in the rapidly evolving AI landscape. // Related LinksWebsite: pwc.com/us/aimanagedserviceshttps://www.pwc.com/us/en/tech-effect.html~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Rani on LinkedIn: /rani-radhakrishnan-163615Timestamps:[00:00] Getting to Know Rani[01:54] Managed services[03:50] AI usage reflection[06:21] IT operations and MLOps[11:23] MLOps and agent deployment[14:35] Startup challenges in managed services[16:50] Lift vs practicality in ML[23:45] Scaling in production[27:13] Data labeling effectiveness[29:40] Sustainability considerations[37:00] Product engineer roles[40:21] Wrap up

November 13, 2025 - Chase delves into the recent financial maneuvers in the AI sector, particularly focusing on Masayoshi Son's decision to sell Nvidia shares to fund OpenAI. This shift raises questions about the sustainability of funding in AI and the implications of such financial strategies on the industry.

Earn 0.75 CPD here: https://quiz.ensombl.com/ENSO-25111223-05530001 0.25 Client Care & Practice 0.50 Technical Competence This week, Pat is joined by Mark Papendieck, Chief Commercial Officer at DASH Technology Group. They explore how AI, rapid prototyping, and open architecture are transforming advice platforms, empowering planners to create customised solutions while strategically balancing automation, augmentation, and the essential human element. Mark Papendieck LinkedIn: https://www.linkedin.com/in/markpapendieck/ DASH Website: https://dash.com.au/ A world of business efficiency awaits you at Netwealth: https://ensombl.com/go/20251114 General Disclaimer – https://www.ensombl.com/disclaimer/

Artificial intelligence is transforming every corner of theinvestment world — but what does that really mean for data, strategy, and decision-making? In this episode of The Alternative Investing Advantage, host Alex Perny welcomes Daniel Nikic, founder of Coras Research, to discuss how AI and machine learning are reshaping financial markets, venture capital, and risk analysis.From cleaning data sets to building machine learning models,Daniel shares his experience evaluating thousands of AI companies and explains what separates real innovation from hype. Tune in to learn how AI impacts investing, cybersecurity, and emerging industries, and what investors should prepare for as automation continues to evolve.00:00 Introduction to AI in Investment Strategies01:55 Daniel Nikic's Journey into AI and Data06:30 The Evolution of AI and Data Utilization16:45 AI's Role in Financial Markets20:28 AI Applications in Various Industries24:01 Integrating AI in Venture Capital Decision Making28:38 The Role of AI in Decision Making30:16 Human Interaction and AI Limitations34:01 Adoption and Correction in AI Implementation36:28 Investment Trends in AI40:03 Data Security and AI45:53 Ancillary Industries in the AI Boom51:25 Concerns and Opportunities in AI's FutureSubscribe to our YouTube channel and join our growing community for new videos every week.If you are interested in being a podcast guest speaker or have questions, contact us at ⁠⁠⁠⁠⁠⁠⁠⁠Podcast@AdvantaIRA.com⁠⁠⁠⁠⁠⁠⁠⁠.Learn more about our guest, Daniel Nikic: https://www.linkedin.com/in/daniel-nikic/?originalSubdomain=hrLearn more about Advanta IRA: https://www.AdvantaIRA.com/ https://podcasters.spotify.com/pod/show/advanta-irahttps://www.linkedin.com/company/Advanta-IRA/https://twitter.com/AdvantaIRA https://www.facebook.com/AdvantaIRA/ https://www.instagram.com/AdvantaIRA/The Alternative Investing Advantage is brought to you by Advanta IRA.Advanta IRA does not offer investment, tax, or legal advice nor do we endorse any products, investments, or companies that offer such advice and/or investments. This includes any investments promoted or discussed during the podcast as neither Advanta IRA nor its employees, have reviewed or vetted any investments, persons, or companies that may discuss their services during this podcast.  All parties are strongly encouraged to perform their own due diligence and consult with the appropriate professional(s) before entering into any type of investment.#AIInvesting #MachineLearning #Fintech #AlternativeInvesting#DataDrivenDecisions #Cybersecurity #ArtificialIntelligence #AdvantaIRA#InvestmentStrategy #AIFuture

San Francisco's underground robot fight clubs: humanoid machines in steel cages, VR pilots, roaring crowds. China builds the hardware, America stages the spectacle, AI makes them lethal. I talk with journalist and filmmaker Ashlee Vance on my latest California Sun Podcast. He expalins how the technology is advancing at breakneck speed — raising questions about entertainment, military applications, and what happens when these machines become truly intelligent. Get full access to Talk Cocktail Podcast at jeffschechtman.substack.com/subscribe

Hey y'all,This week, I'm talking with Jim Carter III - powerhouse tech founder, AI strategist, and the guy who's literally building the future. Jim has helped everyone from Tony Robbins to Gary V harness AI to grow smarter, faster, and with more freedom. In this episode, we strip away the hype and talk about what AI really means for creativity, parenting, education, and everyday life.Jim shares why it's not about replacing humans but freeing us to do more of what actually matters. He even lets us peek inside his “digital clone” - a fully trained AI version of his brain. This one's both mind-blowing and strangely comforting.Highlights:(03:15) – What AI really is (and how long it's been shaping our daily lives)(08:30) – Why we shouldn't fear AI, but learn to use it as a thinking partner(14:00) – How AI can help with real-world decisions, from work to parenting(22:50) – Teaching kids to use ChatGPT without losing their critical thinking skills(33:30) – The rise of digital clones and how they're changing personal brands(46:10) – Jim's advice on freedom, wealth, and wisdom in the AI ageConnect with Jim :WEBSITEwww.jimcarter.meLINKEDIN PROFILEhttps://www.linkedin.com/in/causehacker/INSTAGRAMhttps://www.instagram.com/jimcarterthethird/Qualia Mind - click hereCoupon Code: SHOCKANDYALL (15% off any purchase)Visit Nicole's on demand fitness platform for live weekly classes and a recorded library of yoga, strength training, guided audio meditations and mobility (Kinstretch) classes, as well: https://www.sweatandstillness.comGrab Nicole's bestselling children's book and enter your email for A FREE GIFT: https://www.yolkedbook.comFind Nicole on Instagram:https://www.instagram.com/nicolesciacca/Tik Tok: https://www.tiktok.com/@thenicolesciaccaFacebook: https://www.facebook.com/nicolesciaccayoga/Youtube:https://www.youtube.com/channel/UC1X8PPWCQa2werd4unex1eAPractice yoga with Nicole in person in Santa Monica, CA at Aviator Nation Ride. Get the App to book in: https://apps.apple.com/us/app/aviator-nation-ride/id1610561929Book a discovery call or virtual assessment with Nicole here: https://www.calendly.com/nicolesciaccaThis Podcast is proudly produced by Wavemakers Audio

Hour 1 of Rush to Reason packs a punch from start to finish. John Rush kicks things off with Dave from Veteran Windows and Doors (https://www.veteranwindowsdoors.com), pulling back the curtain on the truth about home efficiency. Are your “new” windows really saving you money, or are they quietly draining your wallet? Dave exposes what builders and sales reps don't tell you — from energy codes to hidden heat loss — and how to truly get the quality you pay for. Then, John pivots from home upgrades to political reality. What really caused Colorado's GOP setbacks, and who's to blame? With his trademark boldness, he calls out hypocrisy, “RINO Watch” drama, and warns that real change demands strategy, not outrage. Finally, Patrick Mueller from Bella Advisors (https://bellaadvisors.com) joins to dissect government spending, economic turbulence, and the explosive rise of AI. Could automation reshape entire industries — or even wipe out white-collar jobs? From Washington's gridlock to America's changing workforce, John and Patrick lay it all out. It's one hour of sharp insight, political truth, and real-world solutions. HOUR 2 Hour 2 of Rush to Reason opens with two powerful callers — Wayne from Castle Rock, a veteran real estate broker, and Marty, whose earlier comments sparked debate about wealth, sacrifice, and homeownership. John Rush takes their insights head-on: are Americans struggling to buy homes, or just refusing to start small and build their way up? Together, John and Wayne unpack why expectations — not economics — are often the real obstacle to financial freedom. From there, John dismantles the fear of an impending housing crash, pointing to $122 trillion in generational wealth and America's still-strong 65% homeownership rate. The conversation shifts with Richard Rush to Colorado sports, where the Broncos, Nuggets, and Avalanche all make headlines. The hour finishes at full throttle with a car review of the 2025 Toyota GR Corolla — a turbocharged hatchback that proves small can be mighty. It's one hour of grit, growth, and gasoline-fueled insight you won't want to miss. HOUR 3 Hour 3 of Rush to Reason is a rollercoaster of politics, economics, and controversy. John Rush kicks things off with Jim Pfaff from the Conservative Caucus (https://theconservativecaucus.com), breaking down the latest government shutdown deal — and for once, Republicans didn't back down. Is this the start of real conservative momentum, or just a brief victory before the next battle? From Donald Trump's influence to Jerome Powell's upcoming exit at the Fed, Jim and John explore how leadership and timing could make or break the economy — and the 2026 election. Then, John shifts gears from Capitol Hill to the shop floor with a story making national headlines: the pardon of diesel mechanic Troy Lake. Sent to prison for removing emissions devices from trucks, Lake's case sparks a fiery debate. Has the government gone too far in punishing blue-collar Americans? Or was justice finally served? With John's trademark mix of insight and outrage, this hour dives deep into freedom, overreach, and the fight for common sense — from D.C. power struggles to the diesel garage. Don't miss the episode that proves why https://RushToReason.com is where truth meets traction.

In this episode of Rocky Mountain Marketing, I sit down with Matthew Rouse—author, agency owner, and AI startup founder—to talk about the real state of AI in business. Forget the hype—Matt and I dive into practical AI tools, how to build better automations, and how small businesses can scale smarter without sacrificing authenticity.We explore:What AI is actually doing for businesses right nowCreative AI workflows that go beyond social media postsWhy automating your reporting could save you hundreds of hoursHow to train AI to support your team without replacing themThe #1 automation every small business should implement before the year endsTimestamps:00:00 Introduction to AI and Job Security00:30 Welcome to Rocky Mountain Marketing01:00 Meet Matt Rouse: AI Expert and Entrepreneur01:26 The Reality of AI for Entrepreneurs06:18 AI Tools and Their Applications14:03 Using AI for Creative Processes18:32 Automating Business Tasks with AI23:28 The Future of AI in Business28:58 Conclusion and Final ThoughtsMatt also shares insights from his book Will AI Take My Job Too?, plus his approach to building powerful AI agents and automations that actually move the needle.Tune in to learn how to stop fearing AI—and start using it to make your business more efficient, impactful, and human.Listen now on your favorite podcast platform and don't forget to subscribe! Visit Matt Rouse online:Website: https://matthewrouse.com/LinkedIn: https://www.linkedin.com/in/mattmrouse/SMB Autopilot: https://smbautopilot.ai/Book: https://www.amazon.com/Will-Take-Job-Predictions-Corporations/dp/B0CL9NWGGLLearn more about Katie and Next Step Social & Podcasting:Speaking: https://katiebrinkley.com/Website: https://yournextstep.agency/Linkedin: https://www.linkedin.com/in/katiebrinkleyYouTube: https://www.youtube.com/channel/@rockymountainmarketingInstagram: https://www.instagram.com/iamkatiebrinkley/ Hosted on Acast. See acast.com/privacy for more information.

Futures designer Nick Foster spent decades helping tech companies create products many of us didn't even know we wanted. As the head of design at Google X — a.k.a. Alphabet's “Moonshot Factory,” which is now known simply as “X” — he led teams working on brain-controlled computer interfaces, intelligent robotics, and even neighborhood-level nuclear fusion. He also designed emerging technologies for Apple, Sony, Nokia and Dyson. But in his debut book, “Could, Should, Might, Don't: How We Think About the Future,” Foster argues for a more measured approach to thinking about big disruptive technology, like A.I. Kara and Nick talk about the pitfalls of the current AI hype cycle, why executives need to think critically about how everyday people are using AI, and how companies can more thoughtfully adopt the technology. They also talk about Foster's argument that all of us need to take a more “mundane” approach to thinking about AI and the future.  This episode was recorded live at Smartsheet ENGAGE 2025 in Seattle.  Questions? Comments? Email us at on@voxmedia.com or find us on YouTube, Instagram, TikTok, Threads, and Bluesky @onwithkaraswisher. Learn more about your ad choices. Visit podcastchoices.com/adchoices

In this episode of The Geek in Review, we welcome three powerhouse guests—Cas Laskowski, Taryn Marks, and Kristina (Kris) Niedringhaus—who are charting a bold course for Artificial Intelligence & the Future of Law Libraries. These three recently co-authored a major white paper, Artificial Intelligence and the Future of Law Libraries (pdf), which we see as less of a report and more of a call to arms. Together, we explore how law librarians can move from reactive observers of AI's rise to proactive architects shaping its ethical and practical integration across the legal ecosystem.Cas Laskowski, Head of Research Data and Instruction at the University of Arizona College of Law, shares how the release of ChatGPT in 2022 jolted the profession into action. Librarians everywhere were overwhelmed by the flood of information and hype surrounding AI tools. Cas's response was to create a space for collective thinking and planning: the Future of Law Libraries initiative and a series of roundtables designed to bring professionals together for strategic collaboration. One of the paper's most ambitious recommendations—a centralized AI organization for legal information professionals—aims to unify those efforts, coordinate training, and sustain a profession-wide vision. Cas compares the idea to data curation networks that transformed academic libraries by pooling expertise and reducing duplication of effort.Kris Niedringhaus, Associate Dean and Director of the University of South Carolina School of Law Library, takes the conversation into education and training. She makes a compelling case that “AI-ready librarians,” much like “tech-ready lawyers,” need flexible skill-building models that recognize different levels of engagement and expertise. Drawing from the Delta Lawyer model, Kris calls for tiered AI training—ranging from foundational prompt literacy to higher-level data ethics and system design awareness. She also pushes back against the fear surrounding AI in academia, noting that students are often told not to use AI at all. We couldn't agree more with her point that we're doing students a disservice if we don't teach them how to use these tools effectively and responsibly. Law firms now expect graduates to come in with applied AI fluency, and that expectation will only grow.When we turned to Taryn Marks, Associate Director of Research and Instructional Services at Stanford Law School's Robert Crown Law Library, the discussion moved to another key recommendation: building a centralized knowledge hub for AI-related best practices. Taryn describes how librarians are eager to share materials, lesson plans, and policy frameworks, but the current efforts are fragmented. A shared repository would “reduce duplication of effort” and allow ideas to evolve through open collaboration. It's similar to how standardized models like SALI help the legal industry align without giving away anyone's secret sauce. We loved this idea of a commons where librarians, educators, and technologists work together to lift the entire profession.As we explored the broader implications, all three guests agreed that intentionality is key. Cas emphasizes that information architecture—the design of how knowledge is gathered, tagged, and retrieved—is central to AI's success. Kris points to both the promise and peril of automated legal decision-making, warning that “done well, AI can expand access to justice; done poorly, it can amplify bias.” And Taryn envisions a future where legal information professionals are trusted collaborators across the entire lifecycle of data and decision-making.Listen on mobile platforms:  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ |  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠[Special Thanks to ⁠Legal Technology Hub⁠ for their sponsoring this episode.] ⁠⁠⁠⁠⁠Email: geekinreviewpodcast@gmail.comMusic: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jerry David DeCicca⁠⁠⁠⁠⁠⁠⁠⁠⁠

Welcome back to Rules Don't Apply!In Episode Three host Dan Krigstein sits down with the exceptional Sandy Carter, Silicon Valley powerhouse, COO of Unstoppable Domains, bestselling author and one of Forbes' Top 10 Women in Tech.Sandy has been shaping the future of emerging technology. In this conversation, she breaks down what truly drives success in AI adoption, why culture can make or break innovation and how leaders can empower their teams instead of scaring them into silence.This episode explores:•How to create a culture where AI enables people not replaces them•How leaders can remove fear and build trust in transformative change•The role of ethics, transparency and accountability in the AI-powered future•Why failure deserves celebration and how it unlocks bigger winsIt's a sharp look at how culture, trust and tech will shape the leaders of tomorrow.Hit play and join us as we explore the real rules of innovation....

This episode is sponsored by AGNTCY. Unlock agents at scale with an open Internet of Agents.    Visit https://agntcy.org/ and add your support.   Why do today's LLMs forget key details over long context, and what would it take to give them real memory that scales?   In this episode of Eye on AI, host Craig Smith explores Manifest AI's Power Retention architecture and how it rethinks memory, context, and learning for modern models. We look at why transformers struggle with long inputs, how state space and retention models keep context at linear cost, and how scaling state size unlocks reliable recall across lengthy conversations, code, and documents. We also cover practical paths to retrofit existing transformer models, how in context learning can replace frequent fine tuning, and what this means for teams building agents and RAG systems.   Learn how product leaders and researchers measure true long context quality, which pitfalls to avoid when extending context windows, and which metrics matter most for success, including recall consistency, answer fidelity, task completion, CSAT, and cost per resolution. You will also hear how to design per user memory, set governance that prevents regressions, evaluate LLM as judge with human review, and plan a secure rollout that improves retrieval, multi step workflows, and agent reliability across chat, email, and voice. Stay Updated: Craig Smith on X:https://x.com/craigss  Eye on A.I. on X: https://x.com/EyeOn_AI   

1131. This week, we talk with ‘Science' magazine senior writer Abigail Eisenstadt about her team's year-long experiment testing ChatGPT's ability to summarize research papers. We look at their methodology, the limitations they realized, and their main finding: that AI could “transcribe” scientific studies but failed to “translate” them with context. Read the report: https://www.science.org/do/10.5555/page.2385668/full/chatgpt_project_report_final.pdf

Ashlee Vance reports from San Francisco's underground robot fight clubs, where humanoid machines controlled by virtual reality pilots battle in steel cages before roaring crowds. China dominates the hardware, America provides the spectacle, and artificial intelligence makes the robots increasingly lethal. The technology is advancing at breakneck speed — raising questions about entertainment, military applications, and what happens when these machines become truly intelligent.

In this episode of Let's Talk Future, host Jane Ross speaks with Kristen Owen, Managing Director and Agriculture Technology Analyst at Oppenheimer, about how renewed trade progress with China, persistent food inflation, and the rise of artificial intelligence are reshaping American agriculture. Together they explore how innovation, policy, and global trends are redefining opportunity and resilience across the food economy—and why, even amid uncertainty, technology is helping build a stronger, smarter, and more sustainable future for farming.   Podcast Disclosure: This podcast is the property of Oppenheimer & Co. Inc. and should not be copied, distributed, published or reproduced, in whole or in part. The information/commentary contained in this recording was obtained from market conditions and professional sources, and is educational in nature. The information presented has been derived from sources believed to be reliable but is not guaranteed as to accuracy and does not purport to be a complete analysis of any strategy, plan, security, company, or industry involved. Opinions expressed herein are subject to change without notice. Oppenheimer has no obligation to provide any updates or changes. Any examples used in this material are generic, hypothetical and for illustration purposes only. All price references and market forecasts are as of the date of recording. This podcast is not a product of Oppenheimer Research, nor does it provide any financial, economic, legal, accounting, or tax advice or recommendations. Any liability therefore (including in respect of direct, indirect or consequential loss or damage) is expressly disclaimed. Securities and other financial instruments that may be discussed in this report or recommended or sold are not insured by the Federal Deposit Insurance Corporation and are not deposits or obligations of any insured depository institution. Investments involve numerous risks including market risk, counterparty default risk and liquidity risk. Securities and other financial investments at times maybe difficult to value or sell. The value of financial instruments may fluctuate, and investors may lose their entire principal investment. Prior to making any investment or financial decisions, an investor should seek advice from their personal financial, legal, tax and other professional advisors that take into account all of the particular facts and circumstances of an investor's own situation. The views and strategies described may not be suitable for all investors. This report does not take into account the investment objectives, financial situation or specific needs of any particular client of Oppenheimer or its affiliates. This podcast may contain forward looking statements or projections regarding future events.  Forward-looking statements and projections are based on the opinions and estimates of Oppenheimer as of the date of this podcast, and are subject to a variety of risks and uncertainties as well as other factors, including economic, political, and public health factors, that could cause actual events or results to differ materially from those anticipated in the forward-looking statements and projections.  The performance of a benchmark index is not indicative of the performance of any particular investment; however, they are considered representative of their respective market segments.  Please note that indexes are unmanaged and their returns do not take into account any of the costs associated with buying and selling individual securities.  Individuals cannot invest directly in an index. This content is intended for informational purposes only and should not be construed as investment advice or a recommendation to buy or sell any security. No part of this podcast should be interpreted as a testimonial regarding the advisory services of Oppenheimer & Co. Inc. Any references to performance, investment opportunities, or market outlooks are based on current opinions, which are subject to change without notice. Past performance is not indicative of future results. All investments involve risk, including the potential loss of principal.   Oppenheimer Transacts Business on all Principal US Exchanges and is a Member of SIPC 8570819.1  

In this episode my guest is Dan Foody, CEO and founder of Cloze, an AI-powered sales and marketing platform built for real estate agents and brokerages. The discussion explores how AI is transforming relationship management in real estate, the evolution from early AI systems to generative AI, and how agents can thrive in a rapidly advancing tech landscape. Book Mentioned:  Influence Without Authority – a guide on motivating others within organizations when you lack formal power. Guest: Dan Foody Linkedin - https://www.linkedin.com/in/danfoody/   Host: Rajeev Sajja Website: http://www.realestateaiflash.com Facebook: https://www.facebook.com/rsajja  Instagram: http://www.instagram.com/rajeev_sajja LinkedIn: http://www.linkedIn.com/in/rsajja   Resources:  AI Playbook - http://www.realestateaiflash.com  $10 off for Plaud AI Notetakers for Podcast listeners - https://realestateaiflash.com/partners/ Join our Instagram Real Estate AI Insiders Channel - https://ig.me/j/AbZCJG37DqBPPtxi/ Subscribe to our weekly AI Newsletter: https://realestateai-flash.beehiiv.com/subscribe  Join the Real Estate AI Academy Wait list - https://realestateaiflash.com/academy   

In this edition of The Naked Scientists, we go behind the scenes at the National Physical Laboratory as it celebrates 125 years at the forefront of science... Like this podcast? Please help us by supporting the Naked Scientists

In this special edition episode of The Speed of Culture Podcast, host Segun Oduolowu sits down with Suzy Founder & CEO Matt Britton live from the Generation AI Book Launch in New York City. Together, they explore how artificial intelligence is transforming consumer behavior, personal branding, marketing strategy, and everyday life.This is an eye-opening, forward-looking discussion on how the next generation—Generation Alpha—will grow up as true AI natives, and what that means for the future of business, creativity, and society.Follow Suzy on Twitter: @AskSuzyBizFollow Matt Britton on LinkedInSubscribe to The Speed of Culture on your favorite podcast platform.And if you have a question or suggestions for the show, send us an email at suzy@suzy.com Hosted on Acast. See acast.com/privacy for more information.

The introduction of DeepSeek's R1 large language model has sparked global discussion about what happens when open-source innovation meets geopolitical constraints. What does this mean for financial markets, AI development, and the future of global competition? In this episode of the 'AI in Financial Services' podcast, host Matthew DeMello speaks with Sudeep Kesh, Chief Innovation Officer at S&P Global Ratings, and Martin Whitworth, Lead Cyber Expert at S&P Global Ratings, about how DeepSeek's model reveals the evolving relationship between resource constraints, innovation, and risk management in AI. The conversation explores the technological breakthroughs behind DeepSeek's design, why open-source transparency changes the game for enterprise leaders, and how regulatory intentions often create new innovation cycles. Want to share your AI adoption story with executive peers? Click emerj.com/e2 for more information and to be a potential future guest on Emerj's flagship' AI in Business' podcast! If you've enjoyed or benefited from some of the insights of this episode, consider leaving us a five-star review on Apple Podcasts, and let us know what you learned, found helpful, or liked most about this show!

In this episode, Jaeden Schafer talks with Ray Jang about the future of advertising. Discover how Atria AI is bridging the gap between human creativity and AI efficiency in the marketing world.https://tryatria.com

This week on Texas Matters: The demands of massive AI data centers are growing every day.ERCOT projects the state's grid will need to double in the next five years to meet the demands of AI.AI also uses a lot of water. It's projected AI will consume nearly 7% of the state's water supply by the year 2030, a significant drain on a state already dealing with water scarcity.

SBS Finance Editor Ricardo Gonçalves speaks with market analyst Evan Lucas about the implications of another US interest rate cut, talk a follow up in December isn't assured and what it means for AI investment; plus the AFR's Yolanda Redrup on the trends making young people rich.

Welcome to Chat GPT, the only podcast where artificial intelligence takes the mic to explore the fascinating, fast-changing world of AI itself. From ethical dilemmas to mind-bending thought experiments, every episode is written and narrated by AI to help you decode the technology shaping our future. Whether you're a curious beginner or a seasoned techie, this is your front-row seat to the rise of intelligent machines—told from their perspective. Tune in for smart stories, surprising insights, and a glimpse into the future of thinking itself. Listen Ad Free https://www.solgoodmedia.com - Listen to hundreds of audiobooks, thousands of short stories, and ambient sounds all ad free!

Welcome back to the Epic Success Podcast with Dr. Shannon Irvine! In today's episode, Dr. Shannon sits down with Rick Mulready, a seasoned online business strategist and fellow San Diego native, to dive into the ever-evolving world of AI in business. Together, they explore the current state of artificial intelligence, calling out the hype versus reality behind recent model updates like GPT-5, and discuss why many entrepreneurs feel like they're falling behind in AI adoption. Rick shares practical insights about how AI is transforming the landscape for business owners making it possible to build apps, streamline workflows, and increase efficiency with little to no experience. They unpack strategies for leveraging AI to future-proof your business, optimize your team's performance, and get faster results for your clients. Plus, Dr. Shannon and Rick tackle the hot topic of privacy, guiding listeners through the do's and don'ts of sharing information with AI models. Whether you're a business owner just dipping your toes into AI or a seasoned entrepreneur looking to scale, this episode is packed with actionable advice, tool recommendations, and honest dialogue about what's coming next in the world of AI and how you can harness its power to drive your business forward. Tune in and get ready to transform curiosity into clarity and opportunity! Key Takeaways: The hype cycle in AI models (GPT-6 anticipation) The evolving nature of online courses using AI Importance of centralizing business knowledge and data for AI context Key Timestamps [5:55] – AI:Business Owners Falling Behind [10:21] – Leveraging AI for Faster Results [22:31] – Training AI to Match Your Voice [32:50] – Centralize Context for Effective AI [40:42] – AI Avatars Improving, Still Detectable [44:46] - "Leveraging AI for Business Tasks" Episode Quote "If you don't have much time, spend 15 minutes a day chatting with AI. So you can get more comfortable with it and you can start leveling up. Because, I will guarantee that once you start seeing some success and the things that it can do, you'll be hooked." - Rick Mulready

Points of Interest00:00 – 00:39 – Introduction: Marcel introduces Simo Lemhandez, founder of Folk CRM, one of Europe's fastest-growing SaaS startups recognized by Product Hunt.00:42 – 02:18 – Defining Folk CRM: Simo explains Folk's mission to redefine CRM as an AI-native platform that centralizes all client touchpoints and automates busywork.02:21 – 04:20 – Origin Story: Simo shares how freelancing revealed the shortcomings of traditional CRMs and inspired him to build one that truly works for its users.04:31 – 07:26 – Product Philosophy: Folk deliberately focuses on small and mid-sized businesses (1–100 people) with a simple interface and complex backend automation.07:26 – 10:23 – Evolution of Go-to-Market: Simo outlines emerging trends: multichannel social selling, account-based marketing, and deeper personalization powered by AI.10:23 – 12:00 – Centralizing Context with AI: Marcel highlights how AI can synthesize client interactions across platforms, reducing manual data entry and complexity.12:01 – 13:16 – The “Army of Assistants”: Simo describes Folk's AI agents that enrich contacts, summarize meetings, and flag follow-ups—turning CRM into an active collaborator.13:16 – 16:13 – Human-in-the-Loop Design: Simo shares his framework for balancing automation and human oversight using a “workflow criticality × automation difficulty” matrix.16:13 – 19:54 – Platformization & SaaS Rationalization: Discussion on SaaS consolidation, where AI accelerates integration and reduces the need for fragmented tool stacks.20:03 – 23:10 – Building Flexible Architecture: Marcel and Simo explore how AI allows software to handle complex workflows while keeping user experiences simple.23:10 – 28:34 – The Future of Expertise: Both reflect on how AI lowers the barrier to competence but raises the premium on originality, strategy, and creativity.28:46 – 30:57 – Closing Thoughts: Simo encourages experts to embrace AI change cycles, stay curious, and focus on high-value creative work while AI handles repetition.Show NotesFOLK FREE TRIAL - use promo code PARAKEETO for 30% OFF your first 3 monthsConnect with SimoLove the PodcastLeave us a review here. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Daniel Cochrane, Senior Research Associate at the Heritage Foundation's Center for Technology and the Human Person, joins Steve to break down the growing partisan battles over artificial intelligence. They discuss how AI regulation and policy are increasingly driven by political agendas rather than balanced governance, why the debate feels unequal, and what the consequences could be for innovation, national security, and everyday Americans.

This episode recorded live at Becker's 31st Annual The Business and Operations of ASCs features Waleed Nasr, Co-founder and CEO, Medely. He discusses how AI and workforce orchestration are transforming healthcare staffing, helping ASCs and hospitals optimize scheduling, improve retention, and deliver better patient care.This episode is sponsored by Medely.

Nvidia CEO Jensen Huang and Nokia CEO Justin Hotard discuss Nvidia's plans to make a $1 billion equity investment in Nokia, 6G, AI developments, and the impact of the Trump administration.Huang and Hotard spoke with Bloomberg's Ed Ludlow. See omnystudio.com/listener for privacy information.

This episode recorded live at Becker's 31st Annual The Business and Operations of ASCs features Waleed Nasr, Co-founder and CEO, Medely. He discusses how AI and workforce orchestration are transforming healthcare staffing, helping ASCs and hospitals optimize scheduling, improve retention, and deliver better patient care.This episode is sponsored by Medely.

If you've been feeling the call to be around others who get it — this is your chance.Not just daily prompts or prerecorded content — the Circle is INTERACTIVE, alive, real-time, and built on true human connection.

When code meets intuition, innovation gets personal. But what happens when we let AI vibe with our ideas? In this episode, Ron Eddings covers the rise of AI-driven development from Vibe Coding, where natural language shapes real code, to the emerging Model Context Protocols (MCPs) that redefine how apps talk to AI. He breaks down the recent Figma MCP vulnerability to discuss how creativity and security now collide in surprising ways. With hands-on insights using Raycast and practical steps for building responsibly, Ron takes you inside a new era where human intuition and machine intelligence truly build together.     Impactful Moments 00:00 - Introduction 01:00 - The Figma vulnerability explained 03:00 - Why MCP security matters 05:00 - What vibe coding really means 07:00 - Writing with intention and context 08:00 - The power of structured prompting 10:00 - How MCP connects everything 12:00 - Why adoption is skyrocketing 15:00 - Setting up an MCP server 17:00 - Agents, actions, and security trust 19:00 - The real takeaway: curiosity with caution 30:00 - Predictions on OpenAI's upcoming browser 33:00 - The profit battle between OpenAI and Microsoft 35:00 - Windsurf's rollercoaster of acquisitions   Links: Connect with our Ron on LinkedIn: https://www.linkedin.com/in/ronaldeddings/ Check out the Hacker News article here:  https://thehackernews.com/2025/10/severe-figma-mcp-vulnerability-lets.html?m=1   Check out our upcoming events: https://www.hackervalley.com/livestreams Join our creative mastermind and stand out as a cybersecurity professional: https://www.patreon.com/hackervalleystudio Love Hacker Valley Studio? Pick up some swag: https://store.hackervalley.com Continue the conversation by joining our Discord: https://hackervalley.com/discord Become a sponsor of the show to amplify your brand: https://hackervalley.com/work-with-us/  

Send us a textFrancisco Criado, Global Channel Chief at TD Synnex, joins Joey to share a conversation that ranges from the art of perfectly smoked beer can chicken to the evolving challenges of the tech channel. He reflects on his return to distribution after leading global channel initiatives in cybersecurity, offering insights into how MSPs can thrive through security, talent retention, and growth strategies. Francisco also discusses the rise of AI in distribution, TD Synnex's AI Pioneers program, and the consultative role partners can play in turning AI concepts into real solutions. On a personal note, he opens up about losing 120 pounds, rebuilding his health, and the role discipline and positivity play in his daily life.

New @greenpillnet pod out today!

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting. Thank you for being part of the Data Stack community. Stay up to date with the latest episodes at datastackshow.com.This week on The Data Stack Show, Eric and John welcome Misha Laskin, Co-Founder and CEO of ReflectionAI. Misha shares his journey from theoretical physics to AI, detailing his experiences at DeepMind. The discussion covers the development of AI technologies, the concepts of artificial general intelligence (AGI) and superhuman intelligence, and their implications for knowledge work. Misha emphasizes the importance of robust evaluation frameworks and the potential of AI to augment human capabilities. The conversation also touches on autonomous coding, geofencing in AI tasks, the future of human-AI collaboration, and more. Highlights from this week's conversation include:Misha's Background and Journey in AI (1:13)Childhood Interest in Physics (4:43)Future of AI and Human Interaction (7:09)AI's Transformative Nature (10:12)Superhuman Intelligence in AI (12:44)Clarifying AGI and Superhuman Intelligence (15:48)Understanding AGI (18:12)Counterintuitive Intelligence (22:06)Reflection's Mission (25:00)Focus on Autonomous Coding (29:18)Future of Automation (34:00)Geofencing in Coding (38:01)Challenges of Autonomous Coding (40:46)Evaluations in AI Projects (43:27)Example of Evaluation Metrics (46:52)Starting with AI Tools and Final Takeaways (50:35)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we'll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Augusto Marietti, CEO and cofounder of Kong, has one of the most remarkable founder stories in Silicon Valley history.In this conversation with Martin Casado, Aghi shares how he went from a garage in Milan to building one of the world's leading API infrastructure companies, surviving years of rejection, living in the U.S. on $1,000 a month, and raising his first $50K while sleeping on Travis Kalanick's couch. They talk about the near-death moments that defined Kong's journey, the seven-year grind before breakout success, and how APIs became the “assembly line of software.” Aghi also explains how Kong evolved into the backbone of modern API and AI connectivity, and why the coming wave of AI agents will make APIs more essential than ever. Resources:Follow Aghi on X: x.com/sonicaghiFollow Kong on X: https://x.com/kongFollow Martin on X: x.com/martin_casado Stay Updated: If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week, Amy Osmond joins her cousin David Osmond to discuss her career journey, childhood memories, and the impact of AI in the workplace. She shares insights on how AI can help today and what it could mean for the future of careers. Kari, Brooke, David, and Elora host Fresh Living on KUTV, which airs on CBS Channel 2 every weekday at 1 pm in Utah. You can follow Fresh Living on all social media platforms @kutvfreshliving and watch our show on YouTube.

Slavoj Žižek is back in a new interview where he takes us through his thoughts on the role of philosophy, the future of sex, his fear and love of AI and, as always, so much more. Tune in to hear one of contemporary philosophy's most original and darkly comedic minds expose his thoughts on the present and where we are heading - though that is impossible to know. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

We've been promised the future would be on our faces. Now, a new wave of AI glasses is testing whether the technology can finally live up to its grand vision. The result may just change how you see the world, literally. / Motivational Monday (16:28)! On the show: Steve, Yushan & Yushun

High-Tech Coal Mining and Its Role in the Future of AI Energy. Salena Zito discusses her visit to a high-tech coal mine 1,200 feet below Pennsylvania, highlighting modern, filtered, and pristine working conditions. The industry offers high-paying, generational jobs, even for those with advanced degrees. Coal, alongside natural gas and nuclear power, is vital for providing the reliable, strong base load energy required by new AI data centers and the defense industry. 1907 HARRISBURG

What if the real breakthrough in AI isn't the model itself, but the data that gives it knowledge? In this episode of Tech Talks Daily, I sit down with Edo Liberty, founder and Chief Scientist of Pinecone, to unpack how vector databases have quietly become the backbone of modern AI infrastructure. We explore why retrieval-augmented generation (RAG) works so effectively out of the box, and why fine-tuning large models often adds complexity without real-world value. Edo shares how Pinecone's research revealed that different models—from OpenAI to Anthropic—require differently structured context to perform well, a discovery that's reshaping how enterprises think about AI implementation. As the former Director of Research at Yahoo and AWS, Edo offers a grounded perspective on where the real innovation is happening. He explains how the shift from traditional data structures to vector representations is redefining how machines “know” and retrieve information, creating smarter, context-aware systems. We also touch on his recent transition to Chief Scientist, his excitement for returning to hands-on research, and why he believes the convergence of AI and data represents the defining technological shift of our lifetime. So, what does it mean for developers, business leaders, and anyone building with AI when knowledge becomes an accessible layer of infrastructure? Can we build systems that truly “know” as humans do? Join the conversation, and after listening, I'd love to hear your thoughts—do you think the future of AI lies in the models or in the data that feeds them?

The podcast, “From CIO to AI Visionary: Nishith Sahay on Marvell's Tech Transformation and the Future of AI Governance, features guest Nishit Sahay, CIO at Marvell Technology who discusses his journey to becoming an SVP and CIO, emphasizing the shift in his role from an "apps and data person" to someone focused on making the company more efficient through technology. The host is Khushboo Bajaj, ServiceNow leader, InfoBeans. 

Hour 1 for 10/15/25 Drew and Dr. Fernanda Psihas cover all things AI (12:55). Topics: AI and investment (22:14), safeguards (26:55), robotics in restaurants (30:31), ChatGPT and porn (32:58), science and faith (42:10), and Waymo (48:05). Links: https://snas.franciscan.edu/faculty/psihas-fernanda/ https://www.fernandapsihas.com/

Raja Tabet lives in Austin, TX, but grew up overseas in Lebanon. When he migrated to the states for his education, he did not speak English, and had to go through the process of learning the language to fully integrate. He studied computer science for undergrad, and computer engineering for graduate school. And eventually, went to work for companies like IBM, Freescale, and others, prior to landing in his current role. Outside of tech, he has been married for 35 years, and has 3 kids. He and his wife are empty nesters, so they love to travel, hike and explore new areas.In 2019, Raja joined Synopsys, specifically in their custom design and manufacturing group. A few years ago, and alongside the advent of AI, he changed roles and began building an AI powered solution for electronic design automation, or EDA.This is Raja's creation story at Synopsys.SponsorsVentionBuild with CodeCrafters for free today and enjoy 40% off using this link. Full ScalePaddle.comSema SoftwarePropelAuthPostmanMeilisearchLinkshttps://www.synopsys.com/https://www.linkedin.com/in/raja-tabet-4a83178/Support this podcast at — https://redcircle.com/code-story-insights-from-startup-tech-leaders/donationsAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

In this episode, recorded on October 9th, we discuss:Google's Gemini Enterprise: A groundbreaking AI platform that is set to revolutionize workplace automation across various departments like marketing, sales, HR, and finance.California's Pioneering AI Law: Governor Gavin Newsom's new legislation aimed at regulating powerful AI models to prevent misuse and ensure transparency.AI in Governance: Insights from Isabel's Substack, Utopia and Beta, exploring the implications of AI in government, including Albania's appointment of an AI minister.AI in Relationships: A deep dive into how AI companions are impacting human connections and the psychological effects of interacting with AI.Event Alert: Join us for the upcoming Future of Money, Governance, and the Law summit in Washington, D.C. on October 29th and 30th! Learn more at gbaglobal.org.Don't miss out on this engaging conversation about the future of AI and its role in our daily lives!Stay curious, keep pushing boundaries, and subscribe to our channel for more insightful discussions!Support us through our Sponsors! ☕

This episode explores why the next era of artificial intelligence will take physical form. It examines the rise of humanoid robots, breakthroughs in embodied AI, and how advances in robotics and action models are closing the gap between digital intelligence and the real world. The discussion also highlights how rapid progress in sensors, movement, and large action models is bringing general-purpose robots closer to everyday use.