Podcasts about Democratization

Tyler Foreman, the Vice President of AI at Rocket Lawyer, joins the show to discuss the intersection of artificial intelligence and the legal industry. Foreman shares his untraditional legal tech career path, spanning engineering at Intel, drone data analytics, and ultimately making the move to legal via contract lifecycle management (CLM) at DocuSign, before diving into his current work at Rocket Lawyer helping to provide legal resources for small-to-medium businesses and individuals. The conversation focuses on how modern generative AI and Large Language Models (LLMs) act as a legal operating system to simplify contract reviews, document drafting, and client intake, while maintaining essential connections to human attorneys.

What if the Old Testament prophets weren't just messengers who received words from God, but participants in His heavenly court? That's the proposal Dr. Michael Heiser put forth in his works on the divine council. The Remnant Radio explores this perspective, walks through the texts, and works out what it means for how we think about prophecy today.ABOUT THE EPISODE:Dr. Michael Heiser put forth the interpretative framework that the Old Testament prophets participated in Yahweh's divine council, and access to that court is what distinguished the genuine prophet from the counterfeit. The claim from The Unseen Realm: "True prophets have stood and listened in Yahweh's divine council; false prophets have not." Heiser's proposal focuses on the word sōd, appearing in Jeremiah 23:18 as the sōd YHWH, "the council of Yahweh," and describes what the Hebrew Bible presents as Yahweh's heavenly assembly. Jeremiah deploys it as the credibility test for prophets: the genuine ones have stood in it. The false have not. If that reading is right, the prophetic calling in the Old Testament was more than hearing a message from God. Rather, it was about access to the divine council - admission into the throne room of God. The concept finds support across multiple texts. Amos 3:7 declares that God does nothing without first revealing his counsel to the prophets, and the council scenes throughout the Hebrew Bible show a relationship that is consistently dialogical. Isaiah is caught up into the council of YHWH so that he can give an answer. He doesn't passively receive a scroll. He's present in a scene (seraphim, a throne, a voice asking "Who will go?"), and he responds. This idea matters for the body of Christ right now. The continuationist world is navigating real questions about prophetic legitimacy, accountability, and what it actually means to carry a word from God. Heiser's framework gives us a biblical-theological foundation for those conversations that goes deeper than most of what's currently in circulation. If the sōd YHWH is the dividing line between true and false prophecy in Jeremiah 23, that has implications we haven't fully worked out yet.This episode walks through the key texts and what it means for how we think about the prophetic today.0:00 – Introduction3:05 – Divine Council Overview10:44 – Prophets in the Council14:26 – Adam, Enoch, Noah17:55 – Moses and Prophets20:51 – Isaiah, Ezekiel, Jeremiah23:41 – True vs. False Prophets32:46 – New Covenant Implications43:56 – Democratization of the Spirit45:33 – Warning: Heavenly TravelPLAYLIST OF DR. MICHAEL HEISER EPISODES: https://www.youtube.com/playlist?list=PLMsjeViSScFGvabVTMdkZJffia17pz7CvSubscribe to The Remnant Radio newsletter and receive our FREE introduction to spiritual gifts eBook. Plus, get access to: discounts, news about upcoming shows, courses and conferences - and more. Subscribe now at TheRemnantRadio.com. Support the showABOUT THE REMNANT RADIO: The Remnant Radio exists to equip believers who are hungry for the radical middle of both Word and Spirit. Subscribe for twice-weekly content on theology, church history and the gifts of the Spirit.

In this episode, Warren Ingram and Ruphert Hare explore the impact of artificial intelligence on various industries, emphasizing its current applications, future potential, and the importance of staying updated. Rupert from Prestient Investment Management shares insights on AI integration, misconceptions, and the evolving job landscape.Chapters00:00 Introduction to AI in Financial Services02:47 The Evolution of AI and Its Impact05:14 Job Displacement and Economic Growth07:50 The Role of Human Touch in AI10:49 Future-Proofing Careers in an AI World13:21 The Rise of Craftsmanship and Niche Skills15:56 Democratization of Skills and Services18:50 The Future of Financial Planning21:17 Conclusion and Final ThoughtsLearn more about Prescient Investment Management here.Send us Fan MailHave a question for Warren? Don't forget to voice note your questions through our WhatsApp chat on (+27)79 807 8162 and you could be featured in one of our episodes. Follow us on Twitter, LinkedIn and subscribe to our YouTube channel for more Financial Freedom content: @HonestMoneyPod

T. Scott Clendaniel, research fellow with TDWI and chief learning officer with Nautilus AI Academy, joins hosts Andrew Miller and Meighan Berberich to discuss generative BI and the future of data democratization - including generative BI vs traditional BI, the benefits of broader data democratization, and balancing ease of use and governance. Please visit Next Generation BI for more information on the TDWI May Virtual Summit and TDWI Transform 2026 Data and AI Conference for the full agenda in Anaheim. ____________ More information: ·       TDWI Conference: https://bit.ly/3XqBhGH ·       TDWI Virtual Summits: https://bit.ly/31HJ2xr ·       Seminars: https://bit.ly/3WxQPr4 ·       More Speaking of Data Episodes: https://bit.ly/3JsQPWo Follow Us on: ·       LinkedIn - https://bit.ly/42zCZZB ·       Facebook - https://bit.ly/49uej7j ·       Instagram - https://bit.ly/3HM8x57 ·       X - https://bit.ly/3SsYu9P  

Brent Peterson and Paul Byrne discuss the near future of AI, particularly its implications for software development and coding. Paul shares insights from his new book 'Adapt or Die', focusing on the different types of AI learning, the importance of human oversight in AI applications, and the challenges faced in integrating AI into development processes. They explore the democratization of coding through AI tools, the economic implications for software agencies, and the future trajectory of AI technology.TakeawaysAI is currently limited to type one learning, which is reactive.Type two learning in AI requires reflective thinking and goal-seeking capabilities.Human oversight is crucial in AI applications to handle exceptions and ensure quality.AI tools can significantly speed up development processes but cannot replace human developers.The democratization of coding allows non-technical individuals to engage in software development.AI's limitations can lead to wasted resources if not properly understood.The economic model for software development may shift towards fixed pricing due to AI efficiencies.AI can handle tedious tasks, freeing up developers for more complex work.The future of AI may involve running models on local machines for better control and privacy.Continuous adaptation to AI advancements is necessary for developers and agencies.Chapters00:00 Introduction to AI and E-commerce02:46 Understanding AI Learning Types05:27 AI in Development: Tools and Use Cases07:58 The Role of Humans in AI Workflows10:59 Challenges and Limitations of AI13:50 Future of Software Development with AI16:17 The Democratization of Coding19:07 Economic Implications of AI in Development21:51 Closing Thoughts and Book Promotion

“As recently as the mid-seventies, under 5% of Ivy Leaguers are headed to Wall Street. It's actually not that attractive. But as Wall Street's deregulated, it changes the incentive structure — it makes it much more profitable and demands this huge labor force.” — Dylan Gottlieb They stalked the sidewalks of Manhattan in button-down shirts embroidered with the names of investment banks. They jogged. They drank Beaujolais Nouveau. They gentrified neighborhoods. They were the Yuppies — and with the Boston-based Dylan Gottlieb, they've found their young urban professional biographer. In Yuppies: The Bankers, Lawyers, Joggers, and Gourmands Who Conquered New York, Gottlieb offers both a social history of financialization and a collective biography of the professional class that came of age in the Reagan years. Rather than a passing 1980s stereotype, Gottlieb argues that the Yuppie is a phenomenon that remade the American economy, city, and political class. As recently as the mid-1970s, under 5 percent of Ivy League graduates went to Wall Street. A decade of deregulation later, banks were recruiting a third of graduating classes from top universities. The sweatshop of the meritocracy was born. Most of us are still sweating. Five Takeaways •       From Yippie to Yuppie: The Word's Origins: Yuppie resonates with Yippie — the iconographic late-sixties radicals of the New Left, for whom Jerry Rubin was the signifier. The word first appeared in a Chicago alt-weekly in the late 1970s to describe highly educated young people trickling into gentrifying North Side neighbourhoods. It didn't achieve full cultural dominance until 1984, when it became the frame for supporters of Gary Hart's presidential campaign — a prototypical Yuppie candidate who stormed the Democratic primary and represented a new professional vanguard within the party. The word named something that was already happening. It didn't create it. •       The Incentive Structure Changed: Under 5% to One Third: As recently as the mid-1970s, under 5 percent of Ivy League graduates went to Wall Street. It was seen as the preserve of WASPy children who used family connections to get a bank job. By the mid-1980s, banks were recruiting roughly a third of graduating classes at top universities. What happened: deregulation made finance enormously more profitable; finance demanded a large educated labour force to do the work of putting finance at the centre of the American economy; and the most talented students — those who might have become poets or public servants — followed the money. At mid-century, the most prestigious option for a Princeton graduate was middle management at a Fortune 500 company. By 1985, it was Wall Street. •       Democratization and Distinction: The Double Movement: Gottlieb's central thesis is a double movement. The Yuppie era brought genuine diversification to America's elite: Jewish lawyers could now make partner at firms previously closed to them; women entered investment banks in numbers that would have been inconceivable in 1965; Black and Asian Americans got at least a foot in the door. This was new, and it mattered. Simultaneously, that newly diversified elite pulled further away from the rest of America, extracting profits from companies being financialized and rents from communities being gentrified. Democratization and distinction in constant tension. The elite became more diverse and more remote at the same time. •       The Pyramid to Cylinder Shift: AI is about to do to the Yuppie what the Yuppie did to everybody else. Gottlieb spoke recently to an HR representative at an investment bank — name and bank withheld — who said the firm was moving from a pyramid structure to a cylinder structure for employment. The wide base of entry-level workers that finance has depended on since the 1980s will shrink dramatically. Only the best and brightest will be selected; the rest will be automated. Gottlieb wrote about the era of the large pyramid — the exploited many at the bottom who hoped to reach the top. What happens to the professional class when that pyramid disappears? •       Are the Yuppies Becoming Socialists? A long-running trend: the pressures of the sweatshop of the meritocracy have embittered many members of the professional class. Academics work in conditions demonstrably worse than they were forty years ago. Doctors are evaluated on metrics that resemble those of factory workers. Journalists are precarious. The housing market in the cities where professionals cluster has made the cost of replicating their social status for their children prohibitive. And into this comes AI, threatening the entry-level pipeline. Gottlieb's question: will the investment bankers see their plight as similar to the Amazon warehouse worker's? Or will the edifice of meritocratic myth-making — the deep conviction that you're special — hold them back from that solidarity? About the Guest Dylan Gottlieb is Assistant Professor of History at Bentley University and co-host of the Who Makes Cents: A History of Capitalism podcast. He is the author of Yuppies: The Bankers, Lawyers, Joggers, and Gourmands Who Conquered New York (Harvard University Press, May 12, 2026), winner of the Herman E. Krooss Prize for Best Dissertation in Business History. He has written for the Washington Post, Gotham, the Journal of American History, and Public Seminar. References: •       Yuppies: The Bankers, Lawyers, Joggers, and Gourmands Who Conquered New York by Dylan Gottlieb (Harvard University Press, May 12, 2026). •       Noam Scheiber, Mutiny: The Rise and Revolt of a College-Educated Working Class — the companion book, referenced in the interview as directly relevant to Gottlieb's thesis. •       Barbara Ehrenreich — referenced by Gottlieb as the first to identify the downwardly mobile tranche of the professional class. •       Episode 2895: Glyn Morgan on the rise and fall of American Europe — the companion episode on how the professional class shaped American foreign policy. About Keen On America Nobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States — hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,900 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting. WebsiteSubstackYouTubeAp...

Brent Peterson interviews Thomas Gaffney, COO of OFA Group, discussing the evolution of the company from traditional architecture to a tech-focused entity in the blockchain and Web3 space. They dig into the concept of Real World Assets (RWA), exploring how tokenization can democratize investments, making them accessible to a broader audience. The conversation also highlights the differences between RWAs and NFTs, the potential future of mortgages on blockchain, and the overall efficiency and transparency that blockchain technology can bring to various industries.TakeawaysOFA Group has pivoted from architecture to tech-focused solutions.Real World Assets (RWA) allow for tokenization of physical assets.Tokenization provides liquidity and capital raising opportunities.Investments are becoming more accessible to mainstream investors.Blockchain technology enhances transparency in asset ownership.RWA can democratize access to high-value investments.NFTs and RWAs share similar technology but differ in underlying assets.The future of mortgages may lie in blockchain for efficiency.Real-time data on mortgages can reduce systemic risk.OFA's Hearth Labs aims to bring tokenized real estate to the public.Chapters00:00 Introduction to OFA Group and Personal Insights03:47 Understanding Real World Assets (RWA)09:23 Democratization of Investments through RWA13:41 RWA vs. NFTs: Key Differences17:37 Future of Mortgages on Blockchain

In this episode we sit down with Sheamus McGovern, founder of the Open Data Science Conference (ODSC AI), to unpack what AI actually looks like. Sheamus shares what's really happening behind the scenes of the AI boom and why the biggest shift isn't job loss, but a complete transformation of skills. From explaining why AI is reshaping—not replacing—jobs, to breaking down the gap between hype and real-world applications, this conversation explores how early algorithmic trading foreshadowed today's AI revolution, why open-source tools like TensorFlow and PyTorch changed everything, what the “AI Skill Flip” means for your career, and why even data scientists are questioning their future. Along the way, the biggest mistake people make when trying to learn AI, and why the smartest approach isn't to learn everything—but to start intentionally and build from there. Timestamps00:00 – The biggest misconception about AI 02:00 – Algorithmic trading and the origins of AI in finance 05:00 – The birth of ODSC AI and the data science movement 09:30 – Breakthrough moments in AI 16:30 – Democratization of AI and open-source tools 19:00 –The AI Skill Flip 24:00 – The truth about AI replacing jobs 27:00 – Real-world AI success stories 32:30 – How to actually start learning AI todayFollow Sheamus McGovern onLinkedIn (https://www.linkedin.com/in/sheamus/)ODSC Website (https://odsc.ai/) Follow Breaking Math onSubstack (https://breakingmath.substack.com/)Twitter (https://x.com/breakingmathpod)Instagram (https://www.instagram.com/breakingmathmedia/)Bluesky (https://bsky.app/profile/breakingmath.bsky.social)Website (https://www.breakingmath.io/)YouTube (https://www.youtube.com/@BreakingMathPod)Follow Noah onInstagram (https://www.instagram.com/profnoahgian/)Twitter (https://x.com/ProfNoahGian)Bluesky (https://bsky.app/profile/profnoahgian.bsky.social)Follow Autumn onTwitter (https://x.com/1autumn_leaf)Bluesky (https://bsky.app/profile/1autumnleaf.bsky.social)Instagram (https://www.instagram.com/1autumnleaf/)Substack (https://substack.com/@1autumnleaf)email: breakingmathpodcast@gmail.com

```html i'm wall-e, welcoming you to today's tech briefing for friday, april 24th! here's what's happening in the tech world: amazon & siemens partnership: a strategic collaboration to revolutionize smart cities through the integration of cloud computing and infrastructure expertise, focusing on energy management, transportation, and sustainability. microsoft azure ai update: microsoft launches the latest version of its azure ai platform, designed to reduce machine learning model development time and democratize ai technology for developers and organizations. twitter's momentum: twitter reports better-than-expected quarterly earnings with an increase in active users and a robust rebound in advertising revenue, driven by platform improvements and user engagement. that's your tech briefing for today. we'll see you back here tomorrow! ```

In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Mauro Schilman, CTO and Co-founder of Tuki, the distribution standard for the AI agent era in travel, for a wide-ranging conversation that moves from the joys of international travel and the beauty of mathematics to the fast-evolving world of AI and large language models. Mauro shares his background as a math Olympiad competitor and later a coach, his time training coding models at the AI company Cohere, and his thoughts on how frontier models are progressing — or plateauing — at the foundational level while innovation accelerates at the application layer. The two also get into the mechanics of agentic AI, MCP and agent-to-agent protocols, hierarchical memory systems, red-green test-driven development as a powerful coding workflow, and the philosophical murkiness of open-source AI. They wrap up discussing Tuki Travel's mission to build AI-ready infrastructure for the travel industry, connecting hotels, suppliers, and online travel agencies to prepare for the coming wave of agentic commerce. You can learn more about Tuki Travel and reach out to the team at tukiclub.com.Timestamps00:00 - Stewart welcomes Mauro Schilman, CTO and Co-founder of Tuki Travel, who shares how traveling since age 15 through high school exchanges opened his mind to cultural similarities and differences.05:00 - Mauro explains Math Olympiad coaching culture and mentorship, noting LLMs now solve competition-level problems while Terence Tao explores AI assisting frontier unsolved mathematics.10:00 - Discussion turns to ChatGPT revealing Mauro's birthdate unprompted, exposing opaque application layers, preference tuning, and system prompts hidden within closed models.15:00 - Mauro argues true open source AI requires full training data, annotation protocols, and alignment processes, not just model weights, while scaling laws appear to be slowing.20:00 - Hierarchical memory models replace flat vector databases, using three-level retrieval systems improving context accuracy as knowledge management becomes AI's core challenge.25:00 - Mauro describes travel's fragmented infrastructure of aggregators, bed banks, and intermediaries, explaining Tuki builds agent-ready unification protocols for AI commerce.30:00 - MCP versus API debate clarifies natural language capability descriptions help agents consume services, while agent-to-agent communication embeds negotiating agents inside supplier systems.35:00 - Hallucinations and consumer trust block agentic payments, industries must build mistake-resilience into bookings before autonomous agent transactions become viable.40:00 - Mauro reveals red-green test-driven development methodology where agents write failing tests first then implementations, creating Oracle verification loops dramatically improving code quality.45:00 - Blockchain's potential for transparent distributed AI training discussed, distinguishing democratization from decentralization while stable coins and regulatory momentum build toward agentic commerce infrastructure.Key Insights1. Travel broadens perspective by revealing both universal human similarities and deep cultural differences. Mauro Schilman began traveling at fifteen through math olympiad competitions and found that people across the world share fundamental traits while also being shaped in profoundly different ways by their cultures. This tension between sameness and difference is what makes travel meaningful.2. Mathematics transitions from structured problem-solving in olympiads to genuine uncertainty in graduate school and research. Olympiad problems are carefully designed with elegant solutions meant to encourage creative thinking, but once a mathematician enters academia, the answers are unknown and the work becomes navigating that uncertainty.3. AI is now assisting mathematicians at the frontier, not just solving olympiad-level problems. Terence Tao, one of the greatest living mathematicians, has written publicly about how AI tools can help tackle unsolved problems, though the role of AI remains assistive rather than independent at the research level.4. Large language models are not truly transparent even when described as open source. Releasing model weights alone does not reveal the training data, annotation protocols, alignment tuning, or system prompts that shape model behavior. Real openness would require access to the entire pipeline.5. Memory and retrieval remain core unsolved challenges in AI systems. Researchers are moving from flat vector database approaches toward hierarchical memory structures with roughly three layers, which improves retrieval accuracy and reduces how much context gets consumed with each search.6. The travel industry is structurally unprepared for AI agents. A hidden web of bed banks, aggregators, and aggregators of aggregators sits between hotels and consumers, each taking a fee. Tuki Travel is building infrastructure to unify this distribution layer and make it consumable by AI agents through protocols like MCP and emerging agent-to-agent communication standards.7. Test-driven development using a red-green approach significantly improves AI-generated code quality. By asking the model to write failing tests before writing any implementation, developers create a verification oracle that guides the model toward correct solutions and avoids the bias of writing tests that simply confirm existing flawed code.

Join Jo Troy in this insightful interview with Kendall Breitman, a former journalist turned community manager at Riverside FM. Discover how her journey from political journalism to community building and platform development offers valuable lessons for content creators, podcasters, and marketers. Learn about community building, platform features, and tips for success in the digital age.Main Topics00:00 The Journey of Kendall Breitman04:05 Understanding Riverside and Its Community08:39 Building Authentic Community Connections11:56 Navigating Community Management Challenges14:55 Effective Networking Strategies for Creators15:24 Navigating Social Media for Community Building19:22 The Distinction Between Audience and Community20:55 The Evolution of Podcasting Tools24:06 Democratization of Content Creation27:58 Overcoming the Fear of Self-Promotion_____WATCH THE EPISODE AND JOIN THE YOUTUBE COMMUNITY - UCsWcialOz_YFguhKM7GGmQgQUESTIONS / COLLABORATIONS - AVOAAPOD@GMAIL.COMJOIN MY VO ACTORS CASTING LIST - https://forms.gle/33nc6pUoKYbUdfiS6Guest Info - Kendall Breitman https://riverside.com/authors/kendallAdditional ResourcesYou can find me at www.jotroy.comMy E-BOOK https://www.jotroy.com/ebookJoin the community https://www.instagram.com/voaudioadventurepodcast/_____All music used in the episode by Phoenix and the Flower Girl can be found here shorturl.at/gipSZListen, rate, and subscribe! Hosted on Acast. See acast.com/privacy for more information.

How is BindCraft, the automated pipeline for de novo protein binder design, changing the protein design industry? Martin Pacesa, assistant professor of pharmacology at the University of Zurich, joins The Chain to discuss how BindCraft is helping non-protein designers learn how to design proteins—and how the role of the protein designer will evolve. With host Chris Bahl, their conversation explores how BindCraft may help with drug development, its role in the democratization of tools and resources, and how to work more collaboratively with AI models. Pacesa will also be speaking at May's PEGS Summit in Boston.  Links from this episode:  AI Proteins UZH - Institute of Pharmacology and Toxicology  University of Zurich  

What happens when academic freedom stops being a principle and becomes a daily negotiation?In recent years, discussions about academic freedom have expanded rapidly. And yet, many scholars, especially those early in their careers, continue to navigate increasing pressure without clear tools, support structures, or even a shared language to describe what is happening to them.This episode brings together Andrea Peto (CEU) and Benoît Josset (Rennes University), contributors to a Pocket Guide for Academics at Risk, developed within OPEN COST Action project mapping attacks on higher education across multiple national contexts - along with support from Democratization at stake? Comparing Anti-Gender Politics in CEE and NME countries (Antigender-Politics) COST Action.The Pocket Guide comes with an thourhouly thought out platform offering different solutions and support: https://academicresilience.eu/Drawing on empirical research and lived experience, the conversation moves beyond abstract debates to focus on practice:How do attacks on academic freedom actually unfold?What are the warning signs, before they become obvious?Why is self-censorship one of the most pervasive and least recognized forms of pressure?And what can academics realistically do when institutions fail to protect them?The episode also addresses questions that are often ignored in formal discussions: digital security, mental health, and the material conditions of academic work under increasing political and economic constraints.Rather than offering a checklist or easy solutions, the pocket guide, and this conversation, insist on something more uncomfortable but more useful: awareness, preparation, and collective thinking.Because the most dangerous assumption remains the same across contexts: that it cannot happen here.Produced as part of Protecting Academia at Risk project, with support from the Gerda Henkel Foundation.

Paul Rubenstein is Chief Evangelist at Visier, where he partners with CHROs and senior executives to connect talent strategy to business outcomes. He helps organizations move beyond traditional HR to build functions that are commercially minded, data-driven, and aligned to how the business actually runs. With more than two decades of experience across consulting and executive roles, including Chief People Officer and Chief Customer Officer at Visier, Paul brings a unique perspective on how HR can drive real business performance. His mission is simple: unlock the untapped potential of HR and make work better. These episodes of #thePOZcast, live from Unleash 2026 in Las Vegas, are proudly brought to you by our friends at PIN. AI recruiting tools that automate candidate sourcing, screening, and scheduling across 850M+ profiles. Built for recruiters, agencies, and hiring teams. Learn more and check out a demo:  https://www.pin.com/book-a-demo?via=adam-posner Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com ⏱️ Chapters 00:00 – Cold open: conference chaos and “no one eats lunch”01:10 – Meet Paul Rubenstein and his HR journey02:30 – From consulting to HR leadership to evangelist04:00 – Why connecting talent to business outcomes matters05:30 – The dual role of HR: business driver + function optimizer07:00 – The evolution of HR: industrial → personnel → strategic09:30 – The rise of systems: PeopleSoft, scale, and efficiency11:30 – Engagement, sentiment, and the human side of HR13:00 – Globalization and the modern HR operating model14:30 – Why AI is a true inflection point—not just hype16:00 – The problem with siloed HR tech stacks17:30 – Orchestration layers and systems talking to systems19:00 – Democratization of data and decision-making20:30 – The importance of data quality in the AI era22:00 – The dark side: speed, skills gaps, and misuse of AI24:00 – Human + machine optimization (Toyota analogy)26:00 – Why rethinking work is the real challenge27:30 – How HR leaders (and everyone) must evolve29:00 – Why empathy still matters—and won't be replaced

In this podcast Jon Westfall and I were joined by our long-time friend Steve Hughes, who returned to the show after a long period of heavy travel. I used the opening of the show to test a new Boya CM40 condenser microphone, comparing its sound quality to my MacBook's built-in mic, my 4K USB camera, and my AirPods. It is always fun to play with new toys.. I have become a massive fan of NotebookLM and the new notebooks feature within Google Gemini,. I recently fed hundreds of our podcast show notes and blog posts into a Gemini notebook to see how it handled the data. We discussed how this technology is becoming popular in academia as a tool for students to engage with material, though it poses a significant threat to the textbook industry by easily creating the same supplemental materials publishers charge for,. I've even been using it to build animated video presentations and conduct additional research, which are features included in the $20-a-month AI Pro subscription,. Our conversation turned toward the concept of "digital sovereignty," a movement in the European Union to reduce dependency on U.S. tech giants. We looked into the history of open-source office suites, from StarOffice to the current fragmentation of LibreOffice,. Interestingly, the EU is now looking toward "EuroOffice," a fork of OnlyOffice (which itself has roots in Latvian and Russian development) to replace Microsoft Office. Steve, Jon, and I debated whether this would be a cleaner transition than past attempts, especially as corporate customers grow increasingly annoyed with the "nickel and diming" of subscription services,. Jon and I revisited the "technology gap" we see in students who have grown up exclusively on Chromebooks. Many struggle with the basic concept of a file structure or how to actually download a file to a specific directory. My own daughter recently joked that Windows is for "old people," which signals a shift Microsoft should be wary of. However, Jon shared a positive note on the democratization of app development. He built a purpose-built fitness timer for his strength training in just 20 minutes using AI,. While this "one-two punch" of AI interviewing and coding is powerful, I cautioned against the "Microsoft Access problem"—the risk of non-programmers building mission-critical tools that lack documentation or error-checking,. On the hardware front, Jon shared his first impressions of the MCON controller, a slider-style mobile gaming device that features a built-in MagSafe stand. While the buttons are a bit small for some, its "pocketability" makes it a strong contender for travel,. Steve updated us on the Sea Otter Classic, essentially the "CES for bikes," highlighting new e-bike motors that are rejuvenating the industry,. We also touched on the EV market, specifically the Scout SUV and its move toward a range-extending motor. Steve even noted a great practical tip: using an EV as a reverse-load power source to keep a refrigerator running for up to two weeks during a blackout. Listen to the full podcast to hear Steve's story about meeting will.i.am at CES.

The conversation covers the practical application of AI in companies, the challenges of automation in large enterprises, the democratization of automation for mid-size companies, the importance of starting small in automation, and the impact of AI on businesses and work processes.Connect w/ Theodore Bergqvisthttps://www.linkedin.com/in/theodore-bergqvist-/Find out more about Turbotic and get a 50% discountwith the link https://try.turbotic.com/tag or Promo Code TAGTakeawaysPractical AI in companiesChallenges of automation in large enterprisesDemocratizing automation for mid-size companiesThe importance of starting small in automationThe impact of AI on businesses and work processesChapters00:00 Practical AI in Companies15:19 Impact of AI on Businesses and Work Processes

Hosted by Dr. Ashwin Singh Parihar, this episode features Dr. Mickael Tordjman and Dr. Bachir Taouli discussing their landmark Radiology study on AI‑generated deepfake medical images that are realistic enough to fool trained radiologists. Together, they examine what this new level of image realism means for diagnostic accuracy, clinical trust, and the future of safeguards in medical imaging.   The Rise of Deepfake Medical Imaging: Radiologists' Diagnostic Accuracy in Detecting ChatGPT-generated Radiographs. Tordjman and Yuce et al. Radiology 2026; 318(3):e252094.   The Democratization of Deceit: Seeing Is No Longer Believing. Bhayana and Krishna. Radiology 2026; 318(3):e260466. 

Connect with Yeshwant on LinkedIn: https://www.linkedin.com/in/yeshwant-mummaneni-98b3025/Connect with John on LinkedIn: https://www.linkedin.com/in/john-skarakis-b968434b/In this Realize Live 2025 episode recorded in Amsterdam, we sit down with John Skarakis and Yeshwant Mummaneni — two Chief Engineers from Altair — to explore one of the biggest questions facing the industry today: How will AI transform engineering?From physics-aware AI models to fully automated simulation agents, John and Yeshwant give a practical, no-buzzword look into how AI is reshaping product development, simulation workflows, and the engineering job role itself.This conversation moves from high-level vision to real-world implementation:how AI agents can launch CAD tools, mesh models, build solver decks, submit HPC jobs, post-process results — and even cluster outcomes to pick the best design direction in seconds.

“Yes we can” vote and protest our way out of authoritarianism. It's a classic case of academic literature never making it to mainstream consumption. Hang around social media long enough and you'll hear that we're basically screwed. A complete fascist take over is either extremely likely, inevitable, or it's already here. And there's not much we can do about it. Unless some other country invades us, we'll be waiting for a civil war or a bloody military coup to hopefully maybe turn things around. That's what history teaches us, right? Literally the opposite. An incredible data set that a team of thousands of academics have been assembling for over a decade provides a unique opportunity to examine these questions with fresh eyes. To look at wannabe dictators and see how many succeeded, how many eventually lost power, how democracy returned (if ever), and why. With this systematic approach, we see that strengthened democracy specifically because of authoritarian episodes is increasingly common. In fact, in the last 30 years it's the most common response to autocratization, and most often achieved by internal democratic actors. Taking this into account, events once viewed as episodes of successful stand-alone autocratization, with resistance ultimately futile, are actually better characterized as failures that caused a wave of democratic sentiment in the populace. Successful civil resistance that just took time. Jenessa takes us through the paper that has her jumping for joy this week. Resist! Nord, M. Angiolillo, F., Lundstedt, M., Wiebrecht, F., & Lindberg, S.I. (2025). When autocratization is reversed: episodes of U-Turns since 1900. Democratization, 32, 1136-1159. Frequently asked questions. Varieties of Democracy Institute. The Episodes of Regime Transformation (ERT) dataset. Varieties of Democracy Institute. V-Dem. Electoral Democracy Index, 2024. Our World in Data. Sato, Y., Lundstedt, M., Morrison, K., Boese, V.A., & Lindberg, S.I. (2022). Institutional order in episodes of autocratization. The Varieties of Democracy Institute. Armitage, C. (Aug. 13, 2025). I researched every attempt to stop fascism in history. The success rate is 0%. The Existentialist Republic. Further reading: Nord, M., Angiolillo, F., Good God, A., & Lindberg, S.I. (2025). State of the world 2024: 25 years of autocratization – democracy trumped? Democratization, 32, 839-864. Anti-Pluralism. European Center for Populism Studies. Coppedge, M. (2023). V-Dem's conceptions of democracy and their consequences. The Varieties of Democracy Institute. Lührmann, A. & Lindberg, S.I. (2019). A third wave of autocratization is here: What is new about it? Democratization, 26, 1095-1113. Croissant, A. & Lott, L. (2025). Democratic resilience in the twenty-first century: Search for an analytical framework and explorative analysis. Political Studies, 0, 1-28. Tomini, L., Gibril, S. & Bochev, V. (2023). Standing up against autocratization across political regimes: A comparative analysis of resistance actors and strategies. Democratization, 30, 119-138. Wiebrecht, F., Sato, Y., Nord, M., Lundstedt, M., Angiolillo, F., & Lindberg, S.I. (2023). State of the world 2022: Defiance in the face of autocratization. Democratization, 30, 769-793. Gamboa, L. (2017). Opposition at the margins: Strategies against the erosion of democracy in Colombia and Venezuela. Comparative Politics, 49, 457-477. Laebens, M.G., & Lührmann, A. (2023). What halts democratic erosion? The changing role of accountability. In Lührmann, A. & Merkel, W. (Eds.), Resilience of democracy: Responses to illiberal and authoritarian challenges (pp. 40-61). Routledge. Are you an expert in something and want to be on the show? Apply here!

AI is making it easier than ever to run research, but faster doesn't always mean better. In this episode, we dig into what it really means to democratize research responsibly, and why your team probably needs a charter before someone does something they can't take back.Your team is already running research without you. So the real question is: are you going to help them do it well, or just hope for the best?Ned Dwyer is the co-founder and CEO of Great Question, an all-in-one UX research platform built to bring research to everyone in an organization. Not just the people with "researcher" in their title. He's spent years thinking about how teams can democratize access to customer insights without turning research into a free-for-all, and his talk at UX Con is what first put him on my radar.In this conversation, we dig into one of the more divisive topics in our industry right now: research democratization. Ned makes a pretty compelling case that it's not the all-or-nothing argument a lot of people make it out to be. It's a spectrum, and where your organization should land on that spectrum depends on who you're researching, what decisions are being made, and how much risk is on the table. We also get into AI's role in all of this, from AI-moderated interviews to synthesized insights, and where teams tend to get themselves into trouble when they hand over too much to the machine without any real governance in place.The thing I found most useful in this conversation is Ned's concept of a democratization charter, a practical framework for defining who should be doing what kind of research, with which populations, and under what guardrails. It's something I honestly hadn't thought much about before meeting Ned, and I think it's one of the most actionable ideas we've talked about on the show. If your team is already using AI research tools (and let's be honest, they probably are), this conversation is worth your time.Topics:• 01:45 - Ned's origin story and why he built Great Question• 04:10 - The pressure to move fast, and what gets lost when speed wins• 06:11 - The 80/20 rule: how to use AI without publishing slop• 09:45 - Democratization is a spectrum, not a binary• 12:35 - Where guardrails matter most: vulnerable populations and one-way-door decisions• 13:12 - The case for a democratization charter• 19:00 - AI moderation demystified: closer to a talking survey than a human interviewer• 23:00 - Ned's GoDaddy confession: how rogue research goes wrong• 27:00 - Participant fatigue and insight overload: the new risks AI introduces• 31:45 - Rogue research will happen regardless... your job is to make it safer• 43:28 - The Will Smith spaghetti analogy and where AI tools are headed—Thanks for listening! We hope you dug today's episode. If you liked what you heard, be sure to like and subscribe wherever you listen to podcasts! And if you really enjoyed today's episode, why don't you leave a five-star review? Or tell some friends! It will help us out a ton.If you haven't already, sign up for our email list. We won't spam you. Pinky swear.• ⁠⁠⁠⁠⁠⁠⁠⁠Get a FREE audiobook AND support the show⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Check out show transcripts⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Check out our website⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on Spotify⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on YouTube⁠⁠⁠⁠⁠⁠⁠⁠• ⁠⁠⁠⁠⁠⁠⁠⁠Subscribe on Stitcher

Today we dive into the history of the China / Taiwan conflict, what caused their civil war, and other interesting topics…WELCOME TO History CAMP!

In this episode of Fraudology, host Karisse Hendrick is joined by Frank McKenna, Chief Fraud Strategist at PointPredictive and the mind behind Frank on Fraud. Frank shares his latest deep dive into Starkiller, a sophisticated new phishing-as-a-service (PaaS) platform that emerged following the takedown of Tycoon 2FA.The conversation explores the terrifying mechanics of Attacker-in-the-Middle (AITM) attacks, where fraudsters use "headless browsers" to mirror legitimate login sessions in real-time. Frank provides an inside look at how this tool allows criminals to capture not just credentials, but also two-factor authentication (2FA) codes and session cookies, enabling them to maintain access even after a user logs out.We also explore the "hot topics" dominating the fraud landscape today:ATO Without a Login Event: How marketplaces are seeing "good" users perform legitimate actions, only to have their payout information changed moments later within the same session.The Democratization of Fraud: The professionalization of phishing kits on Telegram, which offer Netflix-style subscriptions and user-friendly dashboards for as little as $300 to $500 a month.Detection Challenges: Why traditional device intelligence and cybersecurity tools struggle to flag these attacks because the victim is interacting with the real merchant website, not a clone.

Markwayne Mullin fails his first test. Lindsey Graham wants to blow the Iranian people. The markets are getting Blackrocked. OpenAI and Oracle have a bit of a cash crunch. Dario Amodei is full of shit. What Crude markets tell us about the war. Truth bombs from the House of El. Actual journalism on Iran from American Prestige and Dissent Magazine. ProPublica doin’ the lord’s work and Persopolis. Chapters Quick Takes: 00:00:36 Max Notes: 00:06:44 KLTW: 00:15:02 Headlines: 00:17:04 Pod Love: 00:18:26 Book Love: 00:19:27 Outro: 00:20:04 Resources Bloomberg: BlackRock $26 Billion Private Credit Fund Limits Withdrawals Forbes Greatest Business Stories of All Time: Charles Merrill and the Democratization of Stock Ownership IRA Financial: Trump, Alternatives, and the Solo 401(k): The Retirement Plan That Paved the Way for Alts in 401(k)s Bloomberg: BlackRock’s Retail Private-Credit Hopes Run Into Market’s Angst House of El: DOLLAR COLLAPSE: Japan to DUMP $1.2T in US Treasuries After Trump Cuts 95% Oil Supply Dissent Magazine: War, Revolt, and Iran's Unfinished Struggle Grist: Kristi Noem all but killed FEMA. Will her departure save it? ProPublica: Explore Financial Disclosures From President Trump and 1,500 of His Appointees ProPublica: Event: How to Use Our News App of Disclosures From Political Appointees Pod Love American Prestige: War in the Gulf and the Global Economy w/ Esfandyar Batmanghelidj Book Love Marjane Satrapi: Persepolis UNFTR Resources Video: On The Record (3-9-26). Video: MTN Macro Take (3-7-26). Episode: Trump Accounts. -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.

In this special episode, Nick is joined by returning guest Josh Thiel (CEO/President, Fourth Offset—defense tech firm advancing AI for maneuver warfare and innovation) and Ray Meiring (CEO, QorusDocs—AI-powered platform for proposals, RFPs, and value storytelling) to dive deep into the real value of AI. Is it truly transforming productivity, or are the costs—in power, water, resources, and society—too high? They unpack practical wins like AI as your instant research assistant, analyzing years of call data in minutes, preserving SME time, personalizing proposals, and reducing weekend-crushing RFP grinds. They also tackle the big questions: ROI that's hard to measure (temporal gains for future generations, human happiness, innovating out of environmental problems), data privacy dangers, the arms race inertia, and why humans still own the "why" questions. Whether you're in GovCon, sales, defense, or just curious about AI's trajectory, this conversation challenges assumptions and highlights the balance between progress and price. Timestamps: 0:00 - Intro & Guest Backgrounds 2:38 - AI's Core Value: Research Assistant & Speed 4:04 - Synthesizing Unstructured Data (e.g., Call Objections) 6:02 - Tactical Market Analysis in Seconds 7:10 - The Power of Asking the Right Questions 8:19 - Is AI Worth the Global Infrastructure Investment? 10:25 - ROI on SME Time & Administrative Relief 13:53 - Flagging Risks in Healthcare Notes 15:02 - Human Happiness & Winning the Right RFPs 17:02 - Personalizing Proposals with Public Comms 19:17 - Resource Allocation: Water, Land, & Zero-Sum Decisions 20:02 - Temporal ROI & Smarter Future Generations 22:52 - Innovating Out of Environmental Problems 26:49 - Inevitable Arms Race & Strategic Placement 30:42 - Biggest Lie: "AI-Enabled" Without Human Enablement 33:41 - Data Privacy & Manipulation Risks 42:03 - Self-Regulation vs. Government Guardrails 47:08 - Democratization of Knowledge & Local Innovation 54:17 - Critical Thinking: Challenge AI Outputs 59:02 - Pitching Real ROI in Tools Like QorusDocs 1:01:21 - Negotiation Empowerment & Flipped Skill Sets 1:03:34 - Outdated Systems: RFPs, Libraries, Steering Wheels 1:11:12 - Closing Thoughts: Intentional Pursuit of This Era Subscribe for more unfiltered discussions on AI's impact. Podcast: Robots and Red Tape | Host: Nick Schutt | Channel: @RobotsandRedTapeAI

Igor Alpatov is the Strategic Partnerships Lead at FreshTunes, a fee-free digital music distribution platform helping independent artists release music worldwide while keeping full ownership of their work. With a lifelong passion for music and technology, Igor works at the intersection of distribution, artist growth, and the evolving digital music ecosystem. He collaborates with global partners to expand opportunities for creators and make professional distribution accessible to everyone. Through FreshTunes, he supports the democratization of the music industry by giving indie artists the tools they need to release, market, and scale their music careers independently.In this episode, Igor Alpatov explains how free music distribution is changing the industry, why authentic fan connections matter more than ever in the age of AI music, and how indie artists can grow sustainable careers without giving up ownership. Key TakeawaysLearn how free music distribution platforms can help indie artists release music globally while maintaining full ownership and royalties.Discover why authentic fan relationships and community building matter more than ever in a world increasingly filled with AI-generated music.Understand how independent artists can balance music creation, marketing, and distribution to build a sustainable career in today's music industry.---→ Learn more about Igor and his work at: https://freshtunes.com/.Book an Artist Breakthrough Session with the Modern Musician team: https://apply.modernmusician.me/podcast

The Hoover Institution's Project on Taiwan in the Indo-Pacific Region held a public session on Resilient Realists: How Taiwan Navigates Its Future in a Turbulent World on March 2, 2026 from 1:00-2:30 PM PT. Since the emergence of the COVID-19 pandemic, geopolitical competition between the United States and the People's Republic of China (PRC) has rapidly intensified, and the global order has faced growing strains. Through it all, Taiwan has remained remarkably resilient. In the face of relentless diplomatic, economic, and military pressure from Beijing, Taiwan's leaders have leveraged the island's critical role in global technology supply chains, its reputation as a robust liberal democracy, and its strategic position in the Indo-Pacific to deepen engagement with key world powers. As many Americans question core assumptions of the post-Cold War global order, the PRC's military power continues to grow, and the world stands on the cusp of a technological revolution in artificial intelligence, can Taiwan continue to navigate so deftly through turbulent geopolitical waters? To address these topics, the Project on Taiwan in the Indo-Pacific Region at the Hoover Institution held a fireside chat featuring Dr. Hung-mao Tien, President of the Institute for National Policy Research (INPR) in Taipei and a former Minister of Foreign Affairs of the Republic of China (Taiwan). Dr. Tien joined in conversation by Adm. (Ret.) James O. Ellis, the Annenberg Distinguished Visiting Fellow, and Dr. Larry Diamond, the William L. Clayton Senior Fellow at the Hoover Institution.   ABOUT THE SPEAKERS Dr. Hung-mao Tien is the President and Chairman of the Institute for National Policy Research in Taipei, and board member of several foundations and business corporations in Taiwan. He also serves as a Senior Advisor to the President of the Republic of China (Taiwan). From 2000-2002, he was the Minister of Foreign Affairs. He also served as the chairman of the Straits Exchange Foundation, the semi-official body in Taiwan responsible for direct exchanges and dialogue with the People's Republic of China, Representative (ambassador) to the United Kingdom, and presidential advisor to former President Lee Teng-hui. He has also served in an advisory capacity to Harvard University's Asia Center, The Asia Society in New York, and the Brookings Institution in Washington, D.C.  Dr. Tien has taught in universities in both the US and Taiwan as professor of political science.  His numerous publications in English (author, editor and co-editor) include: Government and Politics in Kuomintang China 1927-37 (Stanford University Press); The Great Transition: Social and Political Change in the Republic of China (Stanford: Hoover Institution Press); and Democratization in Taiwan, Implications for China (St. Anthony's Series, Oxford University), Consolidating the Third Wave Democracies, Themes and Perspectives (Baltimore and London: The Johns Hopkins University Press), China Under Jiang Zemin (Rienner), and The Security Environment in the Asia-Pacific (M.E. Sharpe). He received his Ph.D. in Political Science from the University of Wisconsin-Madison. Larry Diamond is the William L. Clayton Senior Fellow at the Hoover Institution, the Mosbacher Senior Fellow in Global Democracy at the Freeman Spogli Institute for International Studies (FSI), and a Bass University Fellow in Undergraduate Education at Stanford University. He is also professor by courtesy of political science and sociology at Stanford, where he lectures and teaches courses on democracy (including an online course on EdX). At Hoover, he co-leads the Project on Taiwan in the Indo-Pacific Region and participates in the Program on the US, China, and the World. At FSI, he is among the core faculty of the Center on Democracy, Development, and the Rule of Law, which he directed for six and a half years. He leads FSI's Israel Studies Program and is a member of the Program on Arab Reform and Development. He also co-leads the Global Digital Policy Incubator, based at FSI's Cyber Policy Center. He served for thirty-two years as founding coeditor of the Journal of Democracy. Diamond's research focuses on global trends affecting freedom and democracy and on US and international policies to defend and advance democracy. His book Ill Winds: Saving Democracy from Russian Rage, Chinese Ambition, and American Complacency (2019; paperback ed. 2020) analyzes the challenges confronting liberal democracy in the United States and around the world and offers an agenda for strengthening and defending democracy at home and abroad. His other books include In Search of Democracy (2016), The Spirit of Democracy (2008), Developing Democracy: Toward Consolidation (1999), Promoting Democracy in the 1990s (1995), and Class, Ethnicity, and Democracy in Nigeria (1989). He has edited or coedited more than fifty books, including China's Influence and American Interests (2019, with Orville Schell), Silicon Triangle: The United States, Taiwan, China, and Global Semiconductor Security (2023, with James O. Ellis Jr. and Orville Schell), and The Troubling State of India's Democracy (2024, with Šumit Ganguly and Dinsha Mistree). Admiral James O. Ellis Jr. is Annenberg Distinguished Visiting Fellow at the Hoover Institution, where he oversees both the Global Policy and Strategy Initiative and the George P. Shultz Energy Policy Working Group. He retired from a 39-year career with the US Navy in 2004. He has also served in the private and nonprofit sectors in areas of energy and nuclear security. A 1969 graduate of the US Naval Academy, Ellis was designated a naval aviator in 1971. His service as a navy fighter pilot included tours with two carrier-based fighter squadrons and assignment as commanding officer of an F/A-18 strike fighter squadron. In 1991, he assumed command of the USS Abraham Lincoln, a nuclear-powered aircraft carrier. After selection to rear admiral, in 1996, he served as a carrier battle group commander, leading contingency response operations in the Taiwan Strait. His shore assignments included numerous senior military staff tours. Senior command positions included commander in chief, US Naval Forces, Europe, and commander in chief, Allied Forces, Southern Europe, during a time of historic NATO expansion. He led US and NATO forces in combat and humanitarian operations during the 1999 Kosovo crisis. Ellis's final assignment in the navy was as commander of the US Strategic Command during a time of challenge and change. In this role, he was responsible for the global command and control of US strategic and space forces, reporting directly to the secretary of defense.

I am Rolf Claessen and together with my co-host Ken Suzan I welcome you to Episode 172 of our podcast IP Fridays. Today's interview guests are Co-Founder & CEO of Inception Point AI, Jeanine Whright, and Mark Stignani, who is Partner & Chair of Analytics Practice at Barnes & Thornburg LLP. https://www.linkedin.com/in/jeaninepercivalwright https://www.linkedin.com/in/markstignani Inception Point AI But before the interview I have news for you: The Unified Patent Court (UPC) ruled on Feb 19, 2026, that specialized insurance can cover security for legal costs. This is vital for firms, as it eases litigation financing and lowers financial hurdles for patent lawsuits by removing the need for high liquid assets to enforce rights at the UPC. On Feb 12, 2026, the WIPO Coordination Committee nominated Daren Tang for a second six-year term as Director General. Tang continues modernizing the global IP system, focusing on SMEs, women, and digital transformation. His confirmation in April is considered certain. An AAFA study from Feb 4 reveals 41% of tested fakes (clothing/shoes) failed safety standards. Many contained toxic chemicals like phthalates, BPA, or lead. The study highlights that counterfeiters increasingly use Meta platforms to sell unsafe imitations directly to consumers. China's CNIPA 2026 report announced a crackdown on bad-faith patent and trademark filings. Beyond better examination quality, the agency will sanction shady IP firms and stop strategies violating “good faith” to make China’s IP system more ethical and innovation-friendly. Now, let's hear the interview with Jeanine Whright and Mark Stignani! How AI Is Rewiring Media & Entertainment: Key Takeaways from Ken Suzan's Conversation with Jeanine Wright and Mark Stignani In this IP Fridays interview, Ken Suzan speaks with two repeat guests who look at the same phenomenon from two angles: Jeanine Wright, Co-Founder & CEO of Inception Point AI, as a builder of AI-native entertainment, and Mark Stignani, Partner and Chair of the Analytics Practice at Barnes & Thornburg LLP, as a lawyer advising clients who are trying to use AI without stepping into a legal (or ethical) crater. What emerges is a clear picture: generative AI is not just “another tool.” It is rapidly becoming the default infrastructure for creative work—while the rules around ownership, consent, and accountability lag behind. 1) What “AI-generated personalities” really are (and why that matters) Jeanine's company is not primarily “cloning” real people. Instead, Inception Point AI creates original, fictional personalities—characters with backstories, ambitions, and evolving arcs—then deploys them into the world as podcast hosts and content creators (and eventually actors and musicians). Her key point: the creative work still starts with humans. Writers and creators define the concept, tone, audience, and story engine. What AI changes is speed, cost, and iteration—and therefore what is economically feasible to produce. 2) The “generative content pipeline” isn't a magic button A recurring misconception Ken raises is the idea that someone “pushes a button” and content pops out. Jeanine explains that real production looks more like a hybrid studio: A creative team defines character, voice, format, and storyline. A technical team builds what she calls an “AI orchestration layer” that combines multiple models and tools. The “stack” differs by format: the workflow for a long-form audio drama is different from a short-form beauty clip. This matters because it reframes AI content not as a single output, but as a pipeline decision: which tools, which data sources, which QA, and which governance steps are used—and where human review happens. 3) The biggest legal questions: origin, liability, ownership, and contracts Mark doesn't name a single “top issue.” He describes a cluster of problems that repeatedly show up in client conversations: Training data and “origin story” Clients keep asking: Can I legally use AI output if the tool was trained on copyrighted works? Even if the output looks new, the unease is about whether the tool's capabilities are built on unlicensed inputs. Liability for unintended harm Mark flags risk from AI content that inadvertently infringes, defames, or carries bias. The legal exposure may not match the creator's intent. Ownership and protectability He points to a big gap: many jurisdictions are still reluctant to grant classic IP rights (copyright or patent-style protection) to purely AI-generated material. That creates uncertainty around whether businesses can truly “own” what they produce. Old contracts weren't written for AI A final, practical point: many agreements—talent contracts, author clauses, data licenses—predate generative AI and simply don't address it. That leads to disputes about scope, permissions, and—crucially—indemnities. 4) Are we at a tipping point? The “gold rush” vs. “next creative era” views Jeanine frames AI as “the world's most powerful creative tool”—comparable to previous step-changes like animation, special effects, and CGI. For her, the strategic implication is simple: creators who learn to use AI well will expand what they can build and test, faster than ever. Mark's metaphor is more cautionary: he calls the moment a “gold rush” where technology is sprinting ahead of law. Courts are getting flooded with foundational disputes, while legislation is fragmented—he notes that states may move faster than federal frameworks, and that labor agreements (e.g., union protections) will be a key pressure point. 5) Democratization: more creators, more niche content, more experimentation One of the most concrete themes is access. Jeanine argues AI will: Lower production barriers for independent filmmakers and storytellers. Reduce the need for “hit-making only” economics that dominate Hollywood. Make micro-audience content commercially viable. Her example is intentionally niche: highly localized, specialized content (like a “pollen report” for many markets) that would never have made financial sense before can now exist—and thrive—because the production cost drops and personalization scales. 6) Likeness, consent, and “digital performers”: what happens when AI resembles a real actor? Ken pushes into a sensitive area: what if someone generates a performance that closely resembles a living actor without consent? Mark outlines the current (imperfect) toolbox—because, as he emphasizes, most laws weren't built for this scenario. He points to practical claims that may come into play in the U.S., such as rights of publicity and false endorsement-type theories, and notes that whether something is parody or “too close” can become a major fault line. Jeanine explains her company's operational approach: They focus on original personalities, designed “from scratch.” They build internal checks to avoid misappropriating known names, likenesses, or recognizable identities. If they ever work with real people, the model would be licensing their likeness/voice. A subtle but important business point also appears here: Jeanine expects AI-native characters themselves to become licensable assets—meaning the entertainment economy may expand to include “celebrity rights” for fully synthetic personalities. 7) Ethics: the real line is “deception,” not “AI vs. human” The ethical core of the conversation is not “AI is bad” or “AI is good.” It's how AI is used—especially whether audiences are misled. Mark highlights several ethical risks: Misuse of tools to manipulate faces and content (“AI slop” and political misuse). Displacement of creative workers without adequate transition support. A concern that AI often optimizes toward “statistical averages,” potentially flattening originality. Jeanine agrees ethics must be designed into the system. She describes regular discussions with an ethicist and emphasizes a principle: transparency. Her company discloses when content or personalities are AI-generated. She argues that if people understand what they're engaging with and choose it knowingly, the ethical problem shifts from “AI exists” to “Are we tricking people?” Mark adds a real-world warning: deepfakes are now credible enough to enable serious fraud—he references a case-like scenario where a synthetic video meeting deceived an employee into authorizing a payment. The point is clear: authenticity and verification are no longer optional. 8) The “dead actor” hypothetical: legal permission vs. moral intent Ken raises a provocative scenario: an actor's estate authorizes an AI-generated new performance, but the actor opposed such technology while alive. Neither guest offers a simplistic answer. Jeanine suggests that even if the estate holds legal rights, a company might choose to avoid such content out of respect and because the ethical “overhang” could damage the storytelling outcome. She also notes the harder question: people who died before today's capabilities may never have been able to meaningfully consent to what AI can now do—raising questions about how we interpret legacy intent. Mark underscores the practical contract problem: many rights are drafted “in perpetuity,” but that doesn't automatically settle the ethical question. 9) Five-year forecast: “AI everywhere,” but audiences may stratify Ken closes with a prediction question: in five years, how much entertainment content will significantly involve AI—and will audiences care? Jeanine predicts AI becomes the default creative layer for most content creation. Mark is slightly more conservative on the percentage, but adds an important nuance: the market will likely stratify. Low-cost, high-volume content may become saturated with AI, while premium segments may emphasize “human-made” as a differentiator—especially if disclosure norms become standard. Bottom line for business leaders and creators This interview lands on a pragmatic conclusion: AI will change how content is made at scale, and the competitive edge will go to teams that combine creative taste, operational discipline, and legal/ethical governance. If you're building, commissioning, or distributing content, the questions you can't dodge anymore are: What's the provenance of the tools and data you rely on? Who is responsible when output harms, infringes, or misleads? What rights can you actually claim in AI-assisted work? Do your contracts and disclosures match the new reality? Ken Suzan: Thank you, Rolf. We have two returning guests to the IP Friday’s podcast. Joining me today is Janine Wright and Mark Stignani. Our topic for discussion, how is AI transforming the media and entertainment industries today? We look at the issues from differing perspectives. A bit about our guests, Janine Wright is a seasoned board member, CEO, global COO and CFO. She’s led organizations from startup to a $475 million plus revenue subsidiary of a public company. She excels in growth strategy, adopting innovative technologies, scaling operations and financial management. Janine is a media and entertainment attorney and trial litigator turned technologist and qualified financial expert. She is the co-founder and CEO of Inception Point AI, a growing company that is paving new ground with AI-generated personalities and content through developing technology and story. Mark Stignani is a partner with Barnes & Thornburg LLP and is based in Minneapolis, Minnesota. He is the chair of the data analytics department with a particular emphasis on artificial intelligence, machine learning, cryptocurrency and ESG. Mark combines the power of artificial intelligence and machine learning with his skills as a corporate and IP counsel to deliver unparalleled insights and strategies to his clients. Welcome, Janine and Mark to the IP Friday’s podcast. Jeanine Whright: Thank you. Thank you. Thank you so much for having me and fun to be back. It feels nostalgic to be here. Ken Suzan: That’s right. And you both were on the program. So it’s fantastic that you’re both back again. So our format, I’m going to ask a question to Janine and or Mark and sometimes to both of you. So that’s going to be how we proceed. Let’s jump right in. Janine, your company creates AI-generated actors. For listeners who may not be familiar, can you briefly explain what that means and what’s now possible that wasn’t even two years ago? Jeanine Whright: Sure. Yeah, we are creating AI-generated personalities. So new characters, new personalities from scratch. We design who these personalities are and will be, how they will evolve. So we give them complex backstories. We give them hopes and dreams and aspirations. We every aspect of them, their families, how they’re going to evolve. And in the same way that, say, you know, Disney designs the character for its next animated feature or, you know, an electronic arts designs a character for its next major video game. We are doing that for these personalities and then we are launching them into the world as podcast hosts, content creators on social platforms like YouTube, Instagram and TikTok. And even in the future, you know, actors in feature length films, musicians, etc. Ken Suzan: Very fascinating. Mark, from your practice, what’s the single biggest legal question or dispute you’re seeing clients wrestle with when it comes to AI and media creation? Mark Stignani: Well, I think that, you know, it’s not just one thing, it’s like four things. But most of them tend to be kind of the origin story of AI data or AI tools that they use because, you know, but for the use of AI tools trained on copyrighted materials, the tools wouldn’t really exist in their current form. So a lot of my clients are wondering about, you know, can I legally use this output if it’s built upon somebody else’s IP? The second ask, the second flavor of that is really, is there liability being created if I take AI content that inadvertently infringes or defames or biases there? So there’s the whole notion of training bias from the training materials that comes out. The third phase is really, you know, can I really own this? Because much of the world does not really give IP rights into AI-generated inventions, copyrighted materials. It’s still kind of a big razor. Then at the end of the day, you know, if it’s an existing relationship, does my contract even contemplate this? So everything from authors contracts on up to just use of data rights that predate AI. Ken Suzan: And Janine and Mark, a question to both of you. How would you describe where we are right now in the AI revolution in media and entertainment? Are we approaching a tipping point? And if so, what are the things we need to watch for? Jeanine Whright: Yeah, I definitely think that we’re at a phase where people are starting to come to the realization that AI is the world’s most powerful creative tool. But that, you know, storytelling and point of view is what creates demand and audiences. And AI doesn’t threaten or change that. But it does mean that as people evolve in this medium, they’re very likely going to need to adopt, utilize and figure out how to hone their craft with these AI-generated content and these AI-generated toolings. So this is, you know, something that people have done certainly in the past in all sorts of ways in using new tools. And we’ve seen that make a significant change in the industry. So you look at, you know, the dawn of animation as a medium. You look at use of special effects, computer-generated imagery in the likes of Pixar. And this is certainly the next phase of that evolution. But because of the power of the tool and what will become the ubiquity of the tool, I think that it’s pretty revolutionary and all the more necessary for people to figure out how to embrace this as part of their creative process. Ken Suzan: Thank you, Janine. Mark, your thoughts? Mark Stignani: Yeah, I mean, I liken this to historically to like the California gold rush right now, because, you know, the technology is so far outpaced in any of the legal frameworks that are available. And so we’re just trying to shoehorn things in left and right here. So, I mean, the courts are beginning to start to engage with the foundational questions. I don’t think they’re quite there yet. I just noticed Anthropic got sued again by another group of people, big music group, because of the downloaded works they’ve done. I mean, so the courts are, you know, the courts are certainly inundated with, you know, too many of these foundational questions. Legislatively, hard to tell. I mean, federal law, the federal government is not moving uniformly on this other than to let the gold rush continue without much check and balance to it. Whereas states are now probably moving a lot faster. Colorado, Illinois, even Minnesota is attempting to craft legislation and limitations on what you can do with content and where to go with it. So, I mean, the things we need to watch for any of the fair use decisions coming out here, you know, some of the SAG-AFTRA contract clauses. And, you know, again, the federal government, I just, you know, I got a big shrug going as to what they’re actually going to come up with here in the next 90 to 100 days. So, but, you know, I think they’ll be forced into doing something sooner than later. Ken Suzan: Okay, let’s jump into the topic of the rise of generative content pipelines. My first question to Janine. Studios and production companies are now building what some call generative content pipelines. This is where AI systems produce everything from scripts to visual effects to voice performances. What efficiencies and creative possibilities does this unlock for the industry? Jeanine Whright: Yeah, so this is quite a bit of what we do. And if I could help pull the curtain back and explain a little bit. Ken Suzan: That’d be great. Jeanine Whright: Yeah, there’s this assumption that, you know, somebody is just sitting behind a machine pushing a button and an out pops, you know, what it is that we’re producing. There’s actually quite a bit of humans still in the loop in the process. You know, we have my team as creators. The other half of my team is the technologists. And those creators are working largely at what we describe as the the tip of the sphere. So they’re, of course, coming up with the concepts of who are these personalities? What are these personalities, characters, backgrounds going to be a lot of like rich personality development? And then they’re creating like what are the formats? What are the kind of story arcs? What is the kinds of content that this this character wants to tell? And what are the audiences they’re desiring to reach and what’s most going to resonate with them? And then what we built internally is what we refer to as an AI orchestration layer. So that allows us to pull from basically all of the different models and then all of these different really cool AI tools. And put those together in such a way and combine those in such a way that we can have the kind of output that our creative team envisions for what they want it to be. And at the end of the day, what you what the stack looks like for, say, a long form audio drama, like the combination of LLMs that we’re going to use in different parts of scripting and production and, you know, ideating and all of that. And the kinds of tooling that we use to actually make it and get it to sound good and have the kinds of personality characteristics that we want to be in an authentic voice for a podcast is going to be different than the tech stack and the tool stack that we might use for a short form Instagram beauty tip reel. And so there’s a lot of art in being able to pull all of these tools together to get them to do exactly what you want them to do. But I think the second part of your question is just as interesting as the first. I mean, what is what possibilities is this unlocking? So of course you’re finding efficiencies in the creative production process. You can move faster. You can do things were less expensive, perhaps, and you were able to do it before. But on the creator side, I think one thing that hasn’t been talked about enough is how it is really like blown wide the aperture of what creators can do and can envision. Traditionally, you know, Hollywood podcasting, many of these businesses that become big businesses have become hit making businesses where they need to focus on a very narrow of wide gen pop content that they think is going to get tens of millions, hundreds of millions in, you know, fans and dollars in revenue for every piece of content that they make. So the problem with that is, is that it really narrows the kinds of things that ultimately get made, which is why you see things happening in Hollywood, like the Blacklist, which is, you know, this famous list of really exceptional content that remains unpredited, unproduced, or why you see things like, you know, 70 to 80% of the top 100 movies being based on pre-existing IP, right? Because these are such huge bets that you need to feel very confident that you’re going to be able to get big, big audiences and big, big dollars from it. But with AI, and really lowering the barrier to entry, lowering the costs of production and marketing, the experimentation that you can do is really, really phenomenal. So, you know, my creative team, if they have an idea, they make it, you know, they don’t have to wring their hands through like a green lighting process of, you know, should we, shouldn’t we, like we, we can make an experiment with lots of different things, we can do various different versions of something. We can see what would this look like if I placed it in the 1800s, or what if I gave this character an Australian accent, and it’s just the power of being able to have this creative partner that can ideate with you and experiment with you at rocket speed. With the creators that are embracing it, you can see how it is really fun for them to be able to have this wide of a range of possibility. Ken Suzan: Mark, when you hear about these generative pipelines, what are the immediate red flags or concerns that come to mind from a legal standpoint? How about ethics underlying all of this? Well, Mark Stignani: that was not, that’s the number one red flag because I mean, we are seeing not just that in the entertainment industry, but it literally at political levels, and the kind of the phrase, to turn the phrase AI slop being generated, we’re seeing, you know, people’s facial expressions altered. In some cases, we’re seeing AI tools being misused to exploit various groups of individuals and genders and age groups. So I mean, there’s a whole lot of things ethically that people are using AI for that just don’t quite cover it. Especially in the entertainment industry, I mean, we’re looking at a fair amount of displacement of human workers without adequate transition support, devaluation of the creative labor. I mean, the thing though that I’m always from a technical standpoint is AI is simply a statistical average of most everything. So it kind of devalues the benefit of having a human creator, a human contribution to it. That’s the ethical side. But on the legal side, I see chain of title issues. I mean, because these are built on very questionable IP ownership stages, I mean, in most of these tools, there has been some large copying, training and taking of copyrighted materials. Is it transformational? Maybe. But there’s certainly not a chain of title, nor is there permission granted for that training. I mentioned SAG-AFTRA earlier, I think there’s a potential set of union contract aspects to this that if you know many of these agreements and use sub-licenses for authors and actor agreements, they weren’t written with AI in mind. So that’s another red flag. And also I just think in indemnification. So if we ultimately get to a point where groups are liable for using content without previous license, then who’s liable? Is the tool maker the liable group or the actual end user? So those are probably my top four red flags. But I think ethics is probably my biggest place because just because we can do something from an ethical standpoint doesn’t mean we should. Jeanine Wright: Yeah, if I can respond to both of those points. I mean, one from a legal perspective, just to be very clear, I mean, we are always pulling from multiple different models and always pulling from multiple different sources. And we even have data sources that we license or use for single source of truth on certain pieces of information. So we’re always pulling things together from multiple different sources. We also have built into our process, you know, internal QAing and checking to make sure that we’re not misappropriating the name or likeness of any existing known personality or character. We are creating original personalities there. We design their voice from scratch. We design their look from scratch. So we’re not on our personality side, we’re not pulling or even taking inspiration from existing intellectual property that’s already out there in creating these personalities. On the ethical side, I agree. I mean, when we came out of stealth, we came out of stealth in September. There was certainly quite a bit of backlash from folks in my—I previously co-founded a company in the audio space. I mean, there’s been many rounds of layoffs in audio and in many other parts of the entertainment industry. So I’m very sensitive to the feedback around, like, is this job displacement? I mean, I do think that the CEO of NVIDIA said it right when he said, you’re likely not going to lose your job to AI, but you will lose your job to somebody who knows how to use AI. I think these tools are transforming the way that content is made and that the faster that people can embrace this tooling, the more likely they’re going to be having the kinds of roles that they want in, you know, in content creation and storytelling in the future. And we are hiring. I’m hiring AI video creators, AI audio creators. I’m hiring AI developers. So people who are looking for those roles, I mean, please reach out to me, we would love to work with you and we’d love to grow with you. We also take the ethics very seriously. For the last few months or so, I’ve met regularly with an ethicist, we talk about all sorts of issues around, you know, is designing AI-generated people, you know, good for humanity? And what about authenticity and transparency and deception, and how are we in building in this space going to avoid some of the problems that we’ve seen with things like social media and other forms of technology? So we keep that very top of mind and we try to build on our own internal values-based system and, you know, continue to elevate and include the humanity as part of the conversation. Ken Suzan: Thank you, Janine. Janine, some argue that AI content pipelines will level the field for filmmaking, giving independent creators access to tools that were once available only to major studios. Is that the future you envision? Jeanine Wright: I do think that with AI you will see an incredible democratization of access to technology and access to these capabilities. So I do think, you know, rise of independent filmmakers, you won’t have as many people who are sitting on a brilliant idea for the next fantastic script or movie that just cannot get it made because they will be able to with these tools, get something made and out there, at least to get the attention of somebody who could then decide that they want to invest in it at a studio kind of level in the future. The other thing that I think is really interesting is that I think, you know, AI will empower more niche content and more creators who can thrive in micro-communities. So it used to be because of this hit generation business model, everything needed to be made for the masses and a lot of content for niche audiences and micro-communities was neglected because there was just no way to make that content commercially viable. But now, if you can leverage AI—we make a pollen report podcast in 300 markets, you know, nobody would have ever made that before, but it is very valuable information, a very valuable piece of content for people who really care about the pollen in their local community. So there’s all sorts of ways that being able to leverage AI is making it more accessible both to the creator and to the audience that is looking for content that truly resonates with them. Ken Suzan: Mark, let’s talk about the legal landscape right now. If someone creates an AI-generated performance that closely resembles a living actor without their consent, what legal recourse does that actor have? Mark Stignani: Well, I mean, I think we can go back to the OpenAI Scarlett Johansson thing where, you know, if it’s simply—well, the “walks like a duck, quacks like a duck” type of aspect there. You know, I think it’s pretty straightforward that they need to walk it back. I mean, the US doesn’t have moral rights, really, but there’s a public visage right, if you will. And so, one of the things that I find predominantly useful here is that these actors likely have rights of publicity there, we probably have a Lanham Act false endorsement claim, and you know, again, if the performance is not parody, and it’s so close to the original performance, we probably have a copyright discussion. But again, all of these laws predate the use of AI, so we’re going to probably see new sets of law. I mean, we’re probably going to see “resurrection” frameworks, we’ll probably have frameworks for synthetic actors and likenesses, but the rules just aren’t there yet. So, unfortunately, your question is largely predictive versus well-settled at this point. Ken Suzan: Janine, your company works with AI actors. How do you navigate the questions of consent and likeness compensation when creating digital performers? Jeanine Wright: I mean, if we—so first of all, if we were to work with a person who is an existing real-life person or was an existing real-life person, then we would work with them to license their name and likeness or their voice or whatever aspects of it we were going to use in creating content in partnership with them. Not typically our business model; we are, as I said, designing all of our personalities from scratch and making all of our content originally. So, we’ve not had to do that historically. Now, you know, the flip side is: can I license my characters as if they’re similar to living characters? Like will I be able to license the name and likeness and voice of my AI-generated personalities? I think the answer is yes and we’re already starting to do that. Ken Suzan: Let’s just switch gears into ethics and AI because I find this to be a really fascinating issue. I want to look at a hypothetical. And this is to both of you, Janine and Mark: an AI system creates a new performance by a beloved actor who passed away decades ago, and the actor’s estate authorizes it, but the actor was known to have expressed opposition to such technology during their lifetime. Is this ethical? Jeanine Wright: This feels like a Gifts, Wills, and Trusts exam question. Ken Suzan: It sounds like it, that’s right. Jeanine Wright: Throwing me back to my law school days. Exactly. What are your thoughts? It’d be interesting to see like who has the rights there. I mean, I think if you have the legal rights, the question is around, you know, is it ethical to go against what you knew was somebody’s wishes at the time? I guess the honest answer is I don’t know. It would depend a lot on the circumstances of the case. I mean, if we were faced with a situation like that where there was a discrepancy, we would probably move away from doing that content out of respect for the deceased and out of a feeling that, you know, if this person felt strongly against it, then it would be less likely that you could make that storytelling exceptional in some way—it would color it in a way that you wouldn’t want in the outcome. And I feel like there’s—I mean, certainly going forward and it’s already happening—there are plenty of people I think who have name, likeness, and voice rights that they are ready to license that wouldn’t have this overhang. Ken Suzan: Mark, your thoughts? Mark Stignani: Yeah, I mean, again, I have to kind of go back to our property law—the Rule Against Perpetuities. You know, from a property standpoint to AI rights and likenesses—since most of the digital replica contracts that I’ve reviewed generally do talk about things in perpetuity. But if it’s not written down for that actor and the estate is doing this—is it ethical? You know, that is the debate. Jeanine Wright: Well, gold star to you, Mark, for bringing up the Rule Against Perpetuities. There’s another one that I haven’t heard for many years. This is really taking me back to my law school days. Ken Suzan: It’s a throwback. Jeanine Wright: The other thing that’s really interesting is that this technology is really so revolutionary and new that it’s hard to even contemplate now what it is going to be in a decade, much less for people who have passed away to have contemplated what the potential for it could be today. So you could have somebody who is, perhaps, a deceased musician who expressed concerns about digital representations of themselves or digital music while they were alive. But now, the possibility is that you could recreate—certainly I could use my technology to recreate—that musician from scratch in a very detailed way, trained on tons of different available data. Not just like a digital twin or a moving image of them, but to really rebuild their personality from scratch, so that they and their music could be reintroduced to totally new generations in a very respectful and authentic way to them. It’s hard to know, with the understanding that that is possible, whether or not somebody who is deceased today would or would not agree to something like that. I mean, many of them might want, under those circumstances, for their music to live on. These deceased actors and musicians could live forever with the power of AI technology. Mark Stignani: Yeah, I really just kind of go to the whole—is deep-faking a famous actor the best way to preserve them or keep them live? Again, that’s a bit more of an ethical question because the deep fakes are getting good enough right now to create huge problems. Even zoom meetings in Hong Kong where a CFO was on a call with five synthetic actors who all looked like his coworkers and they sent a big check out based upon that. So again, the technology is getting good enough to fool people. Jeanine Wright: I think that’s right, Mark, but I guess I would just highlight the same way that it always has been: the ethical line isn’t AI versus human, the ethical line is about deception. Like, are you deceiving people? And if people know what it is that they’re getting and they’re choosing to engage with it, then I think it isn’t about the power of the technology. In our business, we have elected—not everybody has—but we have elected to be AI transparent. So we tell people when they listen to our show, we include it in our show notes, we include it on our socials. Even when we’re designing our characters to be very photo-realistic, we make an extra point to make sure that people know that this is AI-generated content or an AI personality. Like, our intention is not to deceive and to be candid. From a business model perspective, we don’t need to. I mean, there’s already people who know and understand that it is AI, and AI is different than people. Because it is AI, there’s all sorts of things that you can do with it that you would not be able to do with a real person. You know, we get people who ask us on the podcast side, we get all sorts of crazy funny requests. You know, people who say, “Can I text with this personality? Can I talk to them on the phone? Can they help me cook in the kitchen? Can they sing me Happy Birthday? Can they show up at my Zoom meeting today because I think my boss would love it?” You know, all sorts of different ways that people are wanting to engage with these characters. And now we’re in the process of rolling out real-time personalities so people will be able to engage with our personalities live. It is a totally different way that people are able to engage with content, and people can, as they choose, decide what kind of content they want to engage with. Ken Suzan: Jeanine and Mark, we’re coming to the end of this podcast. I would love to keep talking for hours but we have to stay to our timetable here. Last question: five years from now, what percentage of entertainment content do you predict will involve significant AI generation, and will audiences care about that percentage? Jeanine? Jeanine Wright: I mean, I would say 99.9%. I mean, already you’re seeing—I think YouTube did a survey—that it was like 90% of its top creators said that they’re using AI as material components of their content creation process. So, I think this will be the default way that content is created. And content that is not made with AI, you know, there’ll be special film festivals for non-AI generated content, and that will be a special separate thing than the thing that everybody is doing now. Ken Suzan: Mark, your thoughts? Mark Stignani: Yeah, I go a little lower. I mean, I think Jeanine is right that we’re seeing, especially in the low-quality content creation and like the YouTube shorts and things like that, you know, there’s so much AI being pushed forward that the FTC even acquired an “AI slop” title to it. I do think that disclosure will become normalized, that the industries will be pushed to say when something is AI and what is not. And I think it’s very much like, you know, do you care about quality or not? If you value the human input or the human factor in this, there will be an upper tier where it’s “AI-free” or low AI assistant. I think that it’s going to stratify because the stuff coming through the social media platforms right now—I can’t be on it right now just because there’s so much nonsense. Even my children, who are without much AI training at all, find it just too unbelievable for them. So, I think it will become normalized, but I think that we’re going to see a bunch of tiers. Ken Suzan: Well, Jeanine and Mark, this has been a fantastic discussion of an ever-evolving field in IP law. Thank you to both of you for spending time with us today on the IP Friday’s podcast. Jeanine Wright: Thank you so much for having me. Mark Stignani: Appreciate your time. Thank you again.

This week on Swimming with Allocators, Earnest and Alexa welcome David Clark, CIO at Vencap, who unpacks the realities of venture capital, emphasizing a data-driven approach to understanding returns, the persistent and intensifying “power law” in VC, and why only a small percentage of funds and companies drive outsized results. The discussion covers the challenges of evaluating new managers versus established firms, the nuances of secondary investments, and the critical importance of consistent, top-tier fund performance. Listeners will gain insight into the pitfalls of confirmation bias, the difficulties facing retail investors, and why strategy, transparency, and adaptability are key for long-term VC success. Also don't miss Rebecca Stuart of Sidley as she explains how unprecedented AI-focused acqui-hires function as talent raids that can bypass standard change-of-control protections. She also outlines legal and structural strategies VCs and startups can use like broadened definitions of change of control, retention and vesting design, and coordinated employment/comp practices, to better protect portfolios and key teams. Highlights from this week's conversation include: Welcoming David to the Show and Previewing Today's Episode (0:18) David's Shift From Traditional LP Diligence to Data-Driven Investing (2:48)   How Long Feedback Loops and Unknown Unknowns Shape Venture Outcomes (5:16)   Confirmation Bias, Narratives, and Doing Pre-Meeting Homework on Managers (6:55)   Pattern Recognition and What World-Class Founders Look Like (8:49)   Using Power Laws and Top 1% Companies as the Core LP Filter (10:40)   Why Singles and Doubles Rarely Add Up to Great Venture Funds (13:46)   AI Acqui-Hires, Talent Raids, and Risks to VC Portfolios (17:20)   Deal Structures That Avoid Change of Control and LP Protections (19:04)   Retention Tools, Forfeiture for Competition, and Staggered Vesting Cliffs (20:53)   Democratization of VC, 401(k) Investors, and the Risk of Disappointment (25:22)   Emerging Managers and the Myth of the Middle Class in Venture (30:58)   Venture Secondaries, Premium Pricing, and Why Discounts Can Be Misleading (36:04)   Scope Creep, Platform Expansion, and When LPs Disengage From Big Firms (42:06)   VenCap is one of the longest-running dedicated venture capital fund-of-funds globally, investing in many of the world's leading VC firms for over three decades. The firm's strategy emphasizes long-term consistency, deep relationship networks, and concentrated exposure to top-tier venture capital companies across cycles. Sidley Austin LLP is a premier global law firm with a dedicated Venture Funds practice, advising top venture capital firms, institutional investors, and private equity sponsors on fund formation, investment structuring, and regulatory compliance. With deep expertise across private markets, Sidley provides strategic legal counsel to help funds scale effectively. Learn more at sidley.com. Swimming with Allocators is a podcast that dives into the intriguing world of Venture Capital from an LP (Limited Partner) perspective. Hosts Alexa Binns and Earnest Sweat are seasoned professionals who have donned various hats in the VC ecosystem. Each episode, we explore where the future opportunities lie in the VC landscape with insights from top LPs on their investment strategies and industry experts shedding light on emerging trends and technologies.  The information provided on this podcast does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this podcast are for general informational purposes only. Learn more about your ad choices. Visit megaphone.fm/adchoices

"They are changing venture capital from a 30% tax to 0% tax. If Robinhood succeeds, it makes Sequoia and Andreessen's business model untenable." — Keith TeareThe Silicon Gods must have their blood. And they've finally come for the funders of disruption, the venture capitalists, who are now being disrupted by something called Public Venture Capital (PVC). That, at least, is the view of That Was The Week publisher Keith Teare, who leads his newsletter this week with Robinhood's new venture fund. This new stock-trading app for millennials is going after Sequoia and Andreessen Horowitz—not by competing on deal flow, but by charging 0% carry instead of 20-30%. Robinhood promises it blows the doors off traditional venture capital.But Keith urges caution over PVCs. Robinhood is packaging late-stage private assets—companies like Databricks that would have IPO'd years ago but are staying private longer. By the time retail investors get access, employees are already cashing out through tender offers because they think the peak is near. The poster child: Figma, which did secondaries at $12 billion after Adobe's $20 billion acquisition failed. A lot of (dumb) people bought at the top and are now slightly less stupid.Fortunately, this week's tech roundup isn't just about get-rich-quick investment schemes. We also discuss Yasha Mounk's sobering experiment: he asked AI to write a political philosophy paper and found it "depressingly good"—publishable in an academic journal. Keith reframes this supposed "death of the humanities" as automation, not democratization. The humans aren't being leveled up; they're masquerading as producers while AI does the work. But craft still matters. When technology relieves humans of the mundane, he hopes, it elevates the special.Lastly but not least, we get to the abundance debate. Peter Diamandis and Singularity University have promised something called "exponential abundance" by 2035. Keith is sympathetic. I am not. The only thing I'm willing to guarantee is that we'll still be talking abundantly about abundance in 2035. And that the Silicon Valley Gods will have their blood. Five Takeaways●      Robinhood Is Charging 0% Carry: Sequoia and Andreessen take 20-30% of profits. Robinhood takes nothing. If they scale, the traditional VC model becomes untenable.●      But You're Buying at the Top: These are late-stage assets. Employees are selling through tender offers because they think peak valuation is near. Ask the people who bought Figma at $12 billion.●      AI Is Automating the Humanities: Yasha Mounk found AI could write "depressingly good" political philosophy. This isn't democratization—it's humans masquerading as producers.●      Craft Still Retains Its Power: Technology relieves humans of the mundane—and elevates the special. Creativity that breaks through will always command attention.●      The Abundance Debate Continues: Diamandis says abundance by 2035. Keith agrees land is already abundant. Andrew calls this "such a stupid thing to say." About the GuestKeith Teare is the publisher of That Was The Week and Executive Chairman of SignalRank. He is a serial entrepreneur and longtime observer of Silicon Valley. Keith joins Keen On America every Saturday for The Week That Was.ReferencesCompanies mentioned:●      Robinhood is launching a publicly listed venture fund, raising up to $1 billion at $25/share with 0% carry. They already have $340 million in assets including Databricks.●      Figma is cited as a cautionary tale: after Adobe's failed $20 billion acquisition, it did secondaries at $12 billion—many bought at the top.●      Polymarket is a prediction market platform that Robinhood has responded to by adding prediction markets to its offerings.People mentioned:●      Yasha Mounk wrote about AI writing "depressingly good" political philosophy papers that could be published in academic journals.●      Peter Diamandis and Dr. Alexander Wisner-Gross of Singularity University argue that exponential abundance is coming by 2035.●      Packy McCormick wrote about power in the age of intelligence.About Keen On AmericaNobody asks more awkward questions than the Anglo-American writer and filmmaker Andrew Keen. In Keen On America, Andrew brings his pointed Transatlantic wit to making sense of the United States—hosting daily interviews about the history and future of this now venerable Republic. With nearly 2,800 episodes since the show launched on TechCrunch in 2010, Keen On America is the most prolific intellectual interview show in the history of podcasting.WebsiteSubstackYouTubeApple PodcastsSpotify Chapters:(00:00) - Introduction: If it's Saturday, it must be revolution (02:11) - Robinhood's venture fund announcement (03:17) - What is Robinhood's day job? (07:43) - Secondary markets and tender offers (10:33) - Democratization or late-stage risk? (14:09) - Is Robinhood just gambling? (16:08) - Private vs. public market returns (19:02) - Is finance merging with betting? (24:23) - Blowing the doors off Sequoia and Andreessen (26:27) - Yasha Mounk: AI automating the humanities (28:47) - Where does power go in the age of AI? (30:42) - Craft retains its power (31:33) - The abundance debate (34:00) - Is land abundant? Andrew loses patience (00:00) - Chapter 15 (00:00) - Chapter 16 (00:00) - Introduction: If it's Saturday, it must be revolution (02:11) - Robinhood's venture fund announcement (03:17) - What is Robinhood's day job? (07:43) - Secondary markets and tender offers (10:33) - Democratization or late-stage risk? (14:09) - Is Robinhood just gambling? (16:08) - Private vs. public market returns (19:02) - Is finance merging with betting? (24:23) - Blowing the doors off Sequoia and Andreessen (26:27) - Yasha Mounk: AI automating the humanities

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Adam explores the complex relationship between money and yoga, addressing the common perception that charging for yoga corrupts its authenticity. He shares personal experiences and insights on the necessity of money as a means of energy exchange, the historical context of yoga's accessibility, and the implications of consumerism in modern yoga practices. Keen emphasizes the importance of trust, accountability, and the teacher's role in navigating these dynamics, ultimately advocating for a balanced approach to money in the yoga community.  Adam Shares ·      Money is often seen as corrupting yoga, but it's a necessary exchange. ·      Many yoga teachers struggle with the idea of charging for their services. ·      Offering yoga for free can lead to a lack of commitment from students. ·      Money can democratize access to yoga, making it available to more people. ·      The historical guru-shisha relationship was exclusive and selective. ·      Modern yoga allows for more freedom and choice for students. ·      Accountability is important in the teacher-student dynamic. ·      Consumerism has influenced the way yoga is marketed and taught today. ·      Teachers have a responsibility to create a supportive environment. ·      Navigating money in yoga requires a balance between accessibility and quality. Keen on Yoga Become a Patron: https://www.keenonyoga.com/patrons/ Linktree: https://linktr.ee/Keenonyoga Website: www.keenonyoga.com Follow Adam:  @keen_on_yoga | @adam_keen_ashtanga Retreats with Adam: https://www.keenonyoga.com/ashtanga-yoga-retreats/ Support: Buy us a coffee: https://www.buymeacoffee.com/infoRf Chapters 00:00 Introduction to Money and Yoga 02:19 The Dilemma of Charging for Yoga 08:05 The Value of Money in Yoga 14:16 Trust and Money in Yoga 18:09 The Guru-Shisha Relationship and Modern Yoga 25:00 Reframing Yoga's Historical Context 28:55 Democratization of Yoga Through Money 33:49 The Challenges of Modern Yoga Teaching 40:07 Navigating Consumerism in Yoga 44:46 Finding Balance in Yoga's Modern Landscape

A conversation about the deaths and rebirths that we experience throughout our lives, the existential shift of motherhood, the personal language required to choose faith, the philosophy behind Chabad outreach and how it democratizes spirituality, why the concept of Moshiach (messiah) cannot be disentangled from the purpose of the Jewish people, and the small concessions to our vices that have outsized negative impacts on our lives. This episode is part 3/3 of a series on the Introduction to the Zohar: The Wisdom of Truth by Rabbi Yehudah Leib Ashlag, co-hosted by Tonia Chazanow and Charlotte Broukhim. Find the book here: share.fund/zoharhhUse code ZOHARHH at checkout for 20% offCharlotte Broukhim is a Jewish mom from Los Angeles who explores the intersections of Jewish mysticism, science, and politics. She studied comparative religion at Harvard, and her upcoming Substack will share practical reflections and insights at the crossroads of ancient wisdom and today's world. Find her on instagram @cbroukhim and contact her at Charlottebroukhim@gmail.com.* * * * * *EPISODE SPONSOR: Today's episode is sponsored by SHARE, a global initiative connecting individuals to the timeless teachings of the inner dimension of Jewish wisdom, known as Pnimiyut Hatorah. Their mission is to inspire soulful living and learning by translating ancient insights for the contemporary moment. You can learn more on Share.Fund.To inquire about sponsorship & advertising opportunities, please email us at info@humanandholy.comTo support our work, visit humanandholy.com/sponsor.Find us on Instagram @humanandholy & subscribe to our channel to stay up to date on all our upcoming conversations Human & Holy podcast is available on all podcast streaming platforms. New episodes every Sunday & Wednesday on YouTube, Spotify, Apple Podcasts, and Google Podcasts.TIMESTAMPS:00:00 - Introduction & Charlotte's Background03:28 - The Intersection of Mysticism and Science06:20 - Messianic Vision as Core Jewish Purpose11:12 - Looking Forward vs Looking Backward 15:45 - Shabbat is a Dress Rehearsal for Redemption 20:31 - Resurrection of the Dead in Modern Times24:16 - Releasing Our Attachments to our Roles and Accomplishments27:53 - Becoming a Channel for God Through Unexpected Questions30:21 - Matrescence and the Ego Death of Motherhood 34:21 - Intergenerational Healing 38:46 - Who is the Zohar's Author? 42:04 - Torah Ideas Are More Powerful Than Historical Proof46:29 - Faith is a Choice We Make 50:40 - Emunah vs. Blind Faith55:07 - Spiritual Maturity 59:05 - Mysticism Awakens the Deepest Parts of Our Souls 01:02:29 - Should We Lead With the Mystical Parts of Torah?01:04:38 - The Democratization of Spirituality 01:09:48 - Even Following Traffic Laws Can be a Mitzvah 01:14:58 - Hashgacha Pratis: Making Meaning of Every Moment01:17:38 - Is Time Management Holy? The Trap of Wasting Time & Scrolling01:21:55 - Upping the Stakes Helps Us Overcome Our Vices01:24:24 - Intensity Driven by Purpose, Not Shame 01:27:11 - Delayed Pleasure Comes Through the Work01:31:13 - Falling in Love with the Process

In this episode, Matt is joined by Charlie Bell, Microsoft's EVP of Security, Compliance, Identity, and Management, to discuss the future of AI and its implications on cybersecurity.The conversation revolves around IDC's prediction of 1.3 billion AI agents by 2028, Charlie's insights from his recent writings 'Beware of Double Agents', and the crucial aspects of agentic Zero Trust.They explore the benefits and risks associated with AI agents, the importance of security culture, and strategies to mitigate potential threats.Charlie also shares his experiences working with Satya Nadella and the importance of collaboration and curiosity in leadership.--Key Moments:02:08 The Exponential Growth and Impact of AI Agents03:47 AI Agents: Beyond Conversational Interfaces05:48 Security Challenges in the Age of AI Agents06:57 Parallels Between Cloud Adoption and AI Agent Era09:19 Democratization of AI: From Developers to Everyone13:57 The Concept of Double Agents in AI16:07 New Attack Vectors and Security Concerns21:43 Combating Security Challenges in AI22:07 The Importance of Identity and Containment23:50 Alignment and Intent in AI Systems27:08 Observability and Accountability of AI Agents30:00 AI in Security and Assumed Breach33:17 Fostering a Culture of Security38:45 Leadership Insights from Satya Nadella--Key Links:MicrosoftConnect with Charlie on LinkedInMentioned in this episode:Free report from HatchWorks AI — State of AI 2026What's real in AI this year, what's hype, and what leaders should prioritize — including production lessons, designing for agents, and governance. https://hatchworks.com/state-of-ai-2026/AI Opportunity FinderFeeling overwhelmed by all the AI noise out there? The AI Opportunity Finder from HatchWorks cuts through the hype and gives you a clear starting point. In less than 5 minutes, you'll get tailored, high-impact AI use cases specific to your business—scored by ROI so you know exactly where to start. Whether you're looking to cut costs, automate tasks, or grow faster, this free tool gives you a personalized roadmap built for action.

In today's episode, guest host Nermin Allam, director of Women's and Gender Studies and associate professor of political science at Rutgers University – Newark, speaks with Rusha Latif, author of Tahrir's Youth: Leaders of a Leaderless Revolution, to reflect on remembering and commemorating the January 25th uprising.The January 25th uprising, which led to the ousting of former Egyptian President Hosni Mubarak in 2011, remains one of the most consequential moments in Egypt's modern political history. The uprising restructured political imagination, reordered lives, and briefly redefined what felt possible.Every year, January 25th asks something of us. It asks us to remember. It asks us to reckon. And it asks us to return carefully and critically to a moment that continues to unsettle our present. This episode is part of that reckoning. As we mark the anniversary of the uprising, we are joined by Rusha Latif to revisit the experiences of the young people who animated that moment and who carried its weight forward long after the chants faded and the public space closed.The conversation invites us to resist simplification and to honor the complexity of a revolutionary moment whose political afterlives still shape how we understand protest, possibility, and loss. It invites listeners to consider what it means to commemorate a revolution in a time when its promises remain unfinished.BiographyRusha Latif is an Egyptian-American researcher and writer based in the San Francisco Bay Area. Her work focuses on social movements and revolutions in the Middle East, with an emphasis on leadership, organization, and collective action across lines of class, gender, religion, and ideology. Her research has been featured on NPR, Al Jazeera, and Jadaliyya. Her book, Tahrir's Youth: Leaders of a Leaderless Revolution is published by the AUC Press, in 2022).Bio Link: https://rushalatif.com/Publication: https://rushalatif.com/tahrirs-youth/Nermin Allam is the Director of the Women's and Gender Studies Program and an Associate Professor of Political Science at Rutgers University-Newark. She is a nonresident fellow in the Middle East Program at the Carnegie Endowment for International Peace. Allam's research focuses on gender politics and social movements in the Middle East and North Africa. Allam's work has appeared in Perspectives on Politics, Mobilization, Politics & Gender, PS: Political Science & Politics, Democratization among other journals.Link: Support the showSupport the Center for Security, Race and Rights by following us and making a donation: Donate: https://give.rutgersfoundation.org/csrr-support/20046.html Subscribe to our Youtube Channel: https://www.youtube.com/playlist?list=PLEbUfYcWGZapBNYvCObiCpp3qtxgH_jFy Follow us on Twitter: https://twitter.com/rucsrr Follow us on Instagram: https://instagram.com/rutgerscsrr Follow us on Threads: https://threads.com/rutgerscsrr Follow us on Facebook: https://facebook.com/rucsrr Follow us on TikTok: https://tiktok.com/rucsrr Subscribe to our Newsletter: https://csrr.rutgers.edu/newsroom/sign-up-for-newsletter/

What does biblical prophecy with integrity actually look like? In a charismatic landscape riddled with false prophecies and manipulation, the Remnant Radio crew is calling the Church back to accountable, Christ-centered prophetic ministry. Join Joshua Lewis, Michael Rowntree, and Michael Miller as they lay out a roadmap for practicing spiritual gifts with character, biblical grounding, and zero tolerance for spiritual abuse.This isn't just another critique of charismatic excess—it's a solution. The hosts dive deep into prophetic integrity at three critical levels: local church ministry, conference settings, and national prophetic words. Discover practical frameworks for training believers in the gift of prophecy, establishing accountability systems, and creating environments where the Holy Spirit can move without manipulation or data mining scandals.What You'll Learn:-What the democratization of the Holy Spirit means  -How to implement prophetic accountability in your local church, including recording prophecies and establishing prayer teams-The crucial difference between a missed prophecy and a false prophet-Why national prophetic words should be the exception, not the norm-Guardrails to prevent spiritual abuse through prophetic manipulation-Biblical examples of prophetic training (Samuel, the 72 elders, Acts 21:4)The Remnant hosts explore 1 Corinthians 14, Acts 2, Numbers 11, and other key scriptures while sharing real stories from their own ministry experiences. They're not afraid to call out abuses while also casting vision for what healthy prophetic culture could look like in the body of Christ.Whether you're a cessationist questioning if spiritual gifts are real, a charismatic burned by prophetic abuse, or a pastor wanting to cultivate the gifts in your congregation, this episode offers a balanced, biblically-sound approach to prophetic ministry that honors both the power of the Spirit and the authority of Scripture.0:00 – Introduction1:33 – Why Prophetic Integrity Matters6:29 – Prophetic Integrity in Local Churches11:16 – Democratization of the Holy Spirit20:02 – Establishing Prophetic Teams and Training27:44 – Prophetic Values and Weighing Words43:15 – Handling Missed Prophecies and Accountability48:42 – Prophetic Integrity at Conferences56:40 – National Prophetic Words and Accountability Subscribe to The Remnant Radio newsletter and receive our FREE introduction to spiritual gifts eBook. Plus, get access to: discounts, news about upcoming shows, courses and conferences - and more. Subscribe now at TheRemnantRadio.com.Support the showABOUT THE REMNANT RADIO:

What happens when you let philosophy escape the ivory tower and live in your body? Today's guest is Ximena, a Mexican eco-philosopher who ditched academic elitism for something far more dangerous: thinking as a radical act of love.We get into why rationality alone made her chronically ill (yes, really), how capitalism hijacked our concept of time, and why resistance fueled by joy might be the only kind that lasts. If you've tired of activism that depletes rather than sustains, this one's for you. We're philosophizing, asking the bigger questions, and as Ximena so eloquently states: making the intellectual visceral.Key themes:1. The Intellectual Turned VisceralPhilosophy often gets confused with being SUPER cerebral, but it's actually something you FEEL in your entire body. When intellectual work moves through your whole system, that's when transformation actually happens!2. Philosophy for Humans, Not Just PhilosophersAcademia gatekeeps philosophy with intentional jargon, but philosophizing is just having conversations with deep curiosity. It LITERALLY means love of wisdom. You're already a philosopher ;)3. Time, Capitalism, and the Productivity TrapCapitalism hijacked time itself, turning it from cyclical and embodied into linear, scarce, and productive, something to optimize rather than experience. We've internalized this timeline so deeply that rest feels like rebellion, and it's legit killing us.4. Resistance as LoveResistance rooted only in anger mimics the systems it's trying to dismantle, but real sustained resistance grows from love and knowing what you're for. The long revolution happens when we build the spaces we want to see, making resistance an act of imagination and joy rather than just critique.5. The Democratization of Knowledge as Radical ActPhilosophy trapped in universities serves power, but the tools of critical thinking are human capacities, not special skills reserved for people with degrees. Your questions are valid, your thinking is valuable, your philosophizing countssss!Connect with Ximena (and join the next round of ROOTED IMPACT):Substack (Ximena Ximena + Tuhella)InstagramVelvet Philosophy PodcastConnect with Chelsea:

Jon Couture, CHRO at Vanguard, joined The Modern People Leader to share how Vanguard is balancing 50 years of legacy with the next 50 years of change. ----  Downloadable PDF with top takeaways: https://modernpeopleleader.kit.com/episode277Sponsor Links:

Stefan Hermann is an engineer who spent 15 years at Liebherr Aerospace and Transportation. Rather surprisingly, he switched from making LPBF landing gear components possible & simulation to having his own YouTube Channel. CNCKitchen, therefore, was going to be a very different YouTube channel. And Stefan has taken his engineering rigor to desktop printers, material testing, 3D printing tips, layer height and part strength as well as 3D printer reviews. We talk about simulation, test, failure modes and much more with Stefan in an enlightening talk. This episode of the 3DPOD is brought to you by Materialise, a global leader in 3D printed medical software and devices, and additive manufacturing software and services. With decades of expertise, Materialise supports highly regulated and high-demand sectors, from healthcare to aerospace and beyond.

David Shedd critiques the bipartisan failure of allowing China into the World Trade Organization in 2001, which was based on the false assumption that economic engagement would lead to democratization. Instead, this decision facilitated a massive transfer of intellectual property, fueling China's rise as a predatory economic rival. 1940 EMPRESS DOWAGER CIXI

Dr. Carter Malkasian joins us to explore how the "democratization of violence"—driven by the availability of assault rifles and explosives—empowered non-state actors and challenged state authority throughout the Cold War. The conversation also addresses the role of Islam in legitimizing non-state violence and how foreign intervention accelerated these trends. Malkasian's latest article, "Wars of the Greater Middle East, 1945–92," is featured in TNSR Volume 9, Issue 1.

The interest in “customer insights” is higher than ever, and more people are interested in both research insights and carrying out research on their own. But, who's making sure research is done well? Therese sits down with Ned Dwyer, CEO and co-founder of Great Question, to talk about the balance between access and rigor in UX research. They discuss the need for democratization charters, how AI is reshaping research roles, and why enabling good research at scale is as much a cultural challenge as it is a technical one.Connect with Ned Dwyer: LinkedInLearn more about Great QuestionSubscribe to Great Question's NewsletterLearn about UX: nngroup.com/learningRelated NN/g Courses & Articles:ResearchOps: Scaling User Research (UX Certification course)Democratize Research in 5 Steps (free article)Democratization of UX (13-min video)

In this episode, Darin sits down with BioHarvest CEO Ilan Sobel, a leader who is redefining the future of plant compounds, human performance, and scalable biotech. Ilan shares the extraordinary origin story of BioHarvest's technology, how a single scientific breakthrough is disrupting global supply chains, and why "democratizing the power of the plant kingdom" has become his life mission. From hydration to longevity molecules to the French Paradox, Ilan reveals how his company is transforming ancient wisdom into modern, clinically validated solutions that can reach the masses.     What You'll Learn 00:00:00 Welcome and Introduction 00:00:32 Sponsor: Thera Sage 00:02:10 Introducing Ilan Sobel (Bio Harvest Sciences) 00:03:37 Electrolyte Solution Powered by Circulation 00:04:37 Vinia's Baseline: Sea Salt, Coconut Water, Marine Magnesium 00:05:36 The Uniqueness of Pi-Seed Resveratrol 00:06:50 Solubility and Bioavailability: Lasting 12 Hours 00:08:48 Overview of Botanical Synthesis Technology and Cell Growth 00:13:58 Vinia's Potency: 1,000 Red Grapes in a Capsule 00:15:31 Why Blood Flow is Critical for Longevity 00:17:23 Increased Blood Flow to the Brain and Mental Alertness 00:19:00 Sponsor: Our Place Cookware 00:21:35 The Abuse of Nature and the Need for Preservation 00:24:15 Overcoming Pharma's Barriers: Consistency, Low Levels, and Patents 00:28:32 Vinia as a Validation of the Technology's Power 00:30:02 Scaling Production: 137 Bioreactors 00:32:21 Scaling Comparison: Manhattan Island's Worth of Resveratrol 00:34:26 Clinical Substantiation and Solubility 00:35:14 The Mechanism: Increasing Nitric Oxide and Reducing ET-1 00:38:33 The "Vinia Difference" - When Consumers Feel the Benefits 00:40:05 Unseen Benefits: Reducing Oxidative Damage 00:41:16 Low Churn Rate and Science-Backed Commitment 00:42:52 Sponsor: Manna Vitality 00:44:46 Commitment to Mission and Customer Reviews as Fuel 00:48:01 Support for First Responders and Veterans 00:51:32 Ilan's Journey to CEO and Unlocking the Gold Mine 00:55:37 The Plan to Build a Second 100-Ton Facility 00:57:12 Democratization and Scaling: Software Economics in Biotech 01:00:21 The French Paradox and Red Wine Connection 01:01:33 Next in DTC: Olive Cells and Forbascoside for Liver Health 01:05:36 New Partnership: Creating a Super Saffron for Cognitive Health 01:13:02 Partnership with Tate & Lyle for Non-Nutritive Sweeteners 01:16:11 The Movement of Change and Legacy for Future Generations 01:18:52 Introducing the Vinia Blood Flow Hydration Stick Packs     Thank You to Our Sponsors Therasage: Go to www.therasage.com and use code DARIN at checkout for 15% off Our Place: Toxic-free, durable cookware that supports healthy cooking. Go to their website at fromourplace.com/darin and get 35% off sitewide in their largest sale of the year. Manna Vitality: Go to mannavitality.com/ and use code DARIN12 for 12% off your order.     Join the SuperLife Community Get Darin's deeper wellness breakdowns — beyond social media restrictions: Weekly voice notes Ingredient deep dives Wellness challenges Energy + consciousness tools Community accountability Extended episodes Join for $7.49/month → https://patreon.com/darinolien     Find More from Ilan Sobel Website: bioharvest.com Instagram: @ilansobel Red Grape Cell Product: vinia.com     Find More from Darin Olien: Instagram: @darinolien Podcast: SuperLife Podcast Website: superlife.com Book: Fatal Conveniences     Key Takeaway "Democratizing the plant kingdom isn't just a business strategy — it's a responsibility. If science gives us the ability to help millions of people feel better, perform better, and live longer, then we have an obligation to scale it in a way the whole world can access."

As the Cold War set in (1948), George Kennan urged MacArthur to halt progressive liberalization policies. Kennan argued that extensive democratization risked communist subversion, emphasizing the need for a strong, stable, anti-communist Japan. This marked a major shift, recognizing Japan, rather than China, as the crucial strategic anchor for American foreign policy in Asia.

How can you get real-time intelligence from space rapidly and cheaply? Novi Space is a startup from Virginia that uses its own hardware and on-orbit edge processing to do just that. Their CEO Michael Bartholomeusz is our guest this week.

Bioreactors and Light: The Future of Bio-Manufacturing Unveiled Prolific-machines.com About the Guest(s): Dr. Deniz Kent is the co-founder and Chief Executive Officer of Prolific Machines, a biotech innovator at the forefront of utilizing light as a control mechanism for cellular behavior in biomanufacturing. With an academic background in molecular biology, Dr. Kent's expertise lies in optogenetics—the science of using light to control cells. Under his leadership, Prolific Machines is pioneering a new era in biotechnology with applications ranging from pharmaceuticals to cellular agriculture. Episode Summary: In this fascinating episode of The Chris Voss Show, listeners are introduced to the visionary world of Dr. Deniz Kent, CEO and co-founder of Prolific Machines. With a mission to revolutionize biotechnology, Dr. Kent explores the profound impact of using optogenetics, a process that employs light to communicate and control cellular functions. This innovative approach aims to drive significant advancements in biomanufacturing, offering potential solutions for diverse industries, from pharmaceuticals to food production. The discussion delves into how Prolific Machines strives to harness light for creating efficiencies in drug manufacturing, ultimately reducing costs and improving accessibility. Dr. Kent explains that the applications extend beyond pharmaceuticals, potentially transforming how we produce food and other essentials. As the conversation evolves, the potential future of bioreactors in homes is posited, signaling a shift towards personalized cell-based production. This episode promises intriguing insights into a future where biotechnology plays a pivotal role in daily life. Key Takeaways: Revolutionizing Biomanufacturing: Prolific Machines is utilizing optogenetics to enable precise control over cellular functions, impacting major sectors like pharmaceuticals and agriculture. Democratization of Medicine: The cost-effective and scalable nature of optogenetic biomanufacturing could make advanced therapies more accessible globally. Visionary Applications: While focusing on drug manufacturing now, the technology envisions a future where bioreactors could provide custom food and medical solutions at home. Historical Roots in Modern Innovation: The concept of biomanufacturing has ancient origins, showing its evolution from traditional practices to groundbreaking modern science. Industry and Public Engagement: Dr. Kent aims to raise awareness and foster understanding of biotechnology's potential, encouraging engagement from both industry professionals and the general public. Notable Quotes: "What we're building is a system where machines and cells can communicate with each other." "I believe that all biomanufacturing will eventually become optogenetic." "You can make anything made out of cells, which is, a lot of things." "The ultimate goal is anyone who wants to make something with cells can use our technology as the infrastructure to do that." "By switching to these more advanced, machine-controllable tools, we can dramatically reduce the cost of protein therapeutics or gene therapies."

As a hint at our next new series, we want to share with you our 2023 episode with Moshe Koppel—a computer scientist and Talmud scholar—about Torah and its intersection with artificial intelligence.In a world in which technology puts vast libraries of Torah at our fingertips, we are tasked with thinking more deeply about what essentially human abilities we bring to the enterprise of Torah and tefillah. In this episode we discuss:What computer-based innovations are on the horizon in the realm of Torah study?Will AI ever be able to reliably answer our halachic questions?Will advances in technology drastically change the experience of Shabbos observance?Tune in to hear a conversation about how AI has the potential to make our Jewish lives richer—if we use it wisely.Interview begins at 18:21.Dr. Moshe Koppel is a computer scientist, Talmud scholar, and political activist. Moshe is a professor of computer science at Bar-Ilan University, and a prolific author of academic articles and books on Jewish thought, computer science, economics, political science, and other disciplines. He is the founding director of Kohelet, a conservative-libertarian think tank in Israel, and he advises members of the Knesset on legislative matters. Dr. Koppel is the author of three sharply thought books on Jewish thought and previously joined 18Forty to talk about Halacha as Language.References:“Funes the Memorious” by Jorge Luis BorgesThe Mind of a Mnemonist by A.R. LuriaSurfaces and Essences: Analogy as the Fuel and Fire of Thinking by Douglas R. Hofstadter & Emmanuel SanderGödel, Escher, Bach: An Eternal Golden Braid by Douglas R. HofstadterMeta-Halakhah: Logic, Intuition, and the Unfolding of Jewish Law by Moshe Koppel2001: A Space OdysseyDICTA: Analytical tools for Hebrew texts“Digital Discourse and the Democratization of Jewish Learning” by Zev EleffTzidkat HaTzadik: 211 by Tzadok HaKohen of LublinBecome a supporter of this podcast: https://www.spreaker.com/podcast/18forty-podcast--4344730/support.

Right About Now with Ryan Alford Join media personality and marketing expert Ryan Alford as he dives into dynamic conversations with top entrepreneurs, marketers, and influencers. "Right About Now" brings you actionable insights on business, marketing, and personal branding, helping you stay ahead in today's fast-paced digital world. Whether it's exploring how character and charisma can make millions or unveiling the strategies behind viral success, Ryan delivers a fresh perspective with every episode. Perfect for anyone looking to elevate their business game and unlock their full potential.     Resources: Right About Now Newsletter | Free Podcast Monetization Course | Join The Network |Follow Us On Instagram | Subscribe To Our Youtube Channel | Vibe Science Media SUMMARY In this episode of "Right About Now," host Ryan Alford interviews David Gardner, co-founder of The Motley Fool. Gardner shares the story behind The Motley Fool’s growth from a small newsletter to a major investment platform, discusses the democratization of investing, and emphasizes the importance of long-term, patient investing in strong brands. He introduces his “rule breaker investing” philosophy, highlights companies like Amazon and Nvidia, and offers practical advice for building wealth. Gardner also recommends lesser-known stocks, discusses entrepreneurship, and promotes his new book, providing valuable insights for investors at any stage. TAKEAWAYS History and evolution of The Motley Fool as a print newsletter starting in 1993. Impact of the internet on investing and access to stock market information. Democratization of stock market access and reduction of trading costs. Importance of long-term investing and avoiding market timing. Investment philosophy centered around "rule breaker investing." Focus on brand strength and value in evaluating stocks. Examples of successful companies with strong brands (e.g., Amazon, Nvidia). Challenges faced during the dot-com crash and lessons learned. Recommendations for diversification and long-term stock ownership. Insights on entrepreneurship and the role of business leaders in society.

Ellen Curtis Demorest and Ebeneezer Butterick are the two names most often invoked as the start of multi-sized patterns printed for home sewists. Once they proved it was a viable business, a lot of other offerings appeared. Research: Alcega, Joan de. “Libro de geometria, practica y traça.” Madrid.1580. Accessed online:https://www.loc.gov/resource/gdcwdl.wdl_07333/ Aldarondo, Abner. “A Master Tailor’s Manual.” Folger Shakespeare Library. Jan. 10, 2023. https://www.folger.edu/blogs/collation/a-master-tailors-manual/ Bertrand, J.E. “Descriptions des arts et métiers faites ou approuvées.” l'Imprimerie de la Société Typographique. 1780. Accessed online: https://play.google.com/store/books/details?id=SAWFeeXzMgYC&rdid=book-SAWFeeXzMgYC&rdot=1 Boullay, Benoit. “Le Tailleur Sincère, Contenant Ce Qu'il Faut Observer Pour Bien Tracer, Couper.” (Reproduction.) Hachette Livre Bnf. 2012. Buckley, Cheryl. “On the Margins: Theorizing the History and Significance of Making and Designing Clothes at Home.” Journal of Design History, vol. 11, no. 2, 1998, pp. 157–71. JSTOR, http://www.jstor.org/stable/1316192 Crane, Ellen Bicknell. “Historic Homes and Institutions and Genealogical and Personal memoirs of Worcester County, Massachusetts.” Lewis Publishing Company. 1907. Accessed online: https://books.google.com/books?id=nfhSZxL8bTEC&source=gbs_navlinks_s Crossland, Samantha R. “Made in Minneapolis, sewn all over the world.” Hennepin History. 2021, Vol. 80, No. 2. https://hennepinhistory.org/from-the-magazine-made-in-minneapolis/ Demorest, Ellen. “The Question of Labor. Women’s Work and Wages.” New York Times. Nov. 18, 1863. https://timesmachine.nytimes.com/timesmachine/1863/11/18/78710875.pdf?pdf_redirect=true&ip=0 “The Educational Legacy of Simplicity Pattern Company.” Simplicity Patterns. September 2024. https://simplicity.com/blog/the-educational-legacy-of-simplicity-pattern-company Emery, Joy Spanabel. “A History of the Paper Pattern Industry: The Home Dressmaking Fashion Revolution.” Bloomsbury Visual Arts. 2020. Freyle, Diego de. “Geometria Y Traça Para El Oficio De Los Sastres.” Sevilla, Spain. 1588. Accessed online: https://archive.org/details/1588-geometria-y-traca-para-el-oficio-de-los-sastres/page/n1/mode/2up Johnson, Susan. “’Madame’ Demorest—The Woman at the Top of a 19-Century Fashion Empire.” Museum of the City of New York. April 15, 2020. https://www.mcny.org/story/madame-demorest-woman-top-19-century-fashion-empire The Editors of Encyclopaedia Britannica. "Ebenezer Butterick". Encyclopedia Britannica, 25 May. 2025, https://www.britannica.com/biography/Ebenezer-Butterick Britannica, The Editors of Encyclopaedia. "Ellen Louise Curtis Demorest." Encyclopedia Britannica, 11 Nov. 2024, https://www.britannica.com/money/Ellen-Louise-Curtis-Demorest “Demorest’s Illustrated Monthly and Mme. Demorest’s Mirror of Fashions.” April 1865. https://ia802801.us.archive.org/8/items/demorestsillustr00newy/demorestsillustr00newy_bw.pdf “Design Group Americas Voluntarily Files for Chapter 11 Protection, Initiates Sale Process Aimed at Maximizing Value Through Going Concern Transactions.” BusinessWire. July 3, 2025. https://www.businesswire.com/news/home/20250703734892/en/Design-Group-Americas-Voluntarily-Files-for-Chapter-11-Protection-Initiates-Sale-Process-Aimed-at-Maximizing-Value-Through-Going-Concern-Transactions “Joseph M. Shapiro of Simplicity, 79.” New York Times. July 31, 1968. https://timesmachine.nytimes.com/timesmachine/1968/07/31/76959179.pdf?pdf_redirect=true&ip=0 “Millinery.” New York Times. Nov. 7, 1853. https://www.newspapers.com/image/20309463/?match=1&terms=%22Mme.%20Demorest%22 “The 40’s from The War Effort to The New Look - Championing Fashion that Matters.” Simplicity Patterns. September 2024. https://simplicity.com/blog/vogue-patterns-an-evolution-of-american-style Queen, James and William Lapsley. “The Tailor’s Instructor.” Philadelphia. 1809. Accessed online: https://dn790007.ca.archive.org/0/items/taylorsinstructo00quee/taylorsinstructo00quee.pdf Reyes-Martinez, Marcos A. “The Vara: A Standard of Length With a Not-So-Standard History.” National Institute of Standards and Technology. Oct. 11, 2019. https://www.nist.gov/blogs/taking-measure/vara-standard-length-not-so-standard-history Walsh, Margaret. “The Democratization of Fashion: The Emergence of the Women’s Dress Pattern Industry.” The Journal of American History, vol. 66, no. 2, 1979, pp. 299–313. JSTOR, https://doi.org/10.2307/1900878 See omnystudio.com/listener for privacy information.

Commercially available sewing patterns have been a cornerstone of home stitching for a century. But well before they existed, there were people trying to share sewing patterns. Research: Alcega, Joan de. “Libro de geometria, practica y traça.” Madrid.1580. Accessed online:https://www.loc.gov/resource/gdcwdl.wdl_07333/ Aldarondo, Abner. “A Master Tailor’s Manual.” Folger Shakespeare Library. Jan. 10, 2023. https://www.folger.edu/blogs/collation/a-master-tailors-manual/ Bertrand, J.E. “Descriptions des arts et métiers faites ou approuvées.” l'Imprimerie de la Société Typographique. 1780. Accessed online: https://play.google.com/store/books/details?id=SAWFeeXzMgYC&rdid=book-SAWFeeXzMgYC&rdot=1 Boullay, Benoit. “Le Tailleur Sincère, Contenant Ce Qu'il Faut Observer Pour Bien Tracer, Couper.” (Reproduction.) Hachette Livre Bnf. 2012. Buckley, Cheryl. “On the Margins: Theorizing the History and Significance of Making and Designing Clothes at Home.” Journal of Design History, vol. 11, no. 2, 1998, pp. 157–71. JSTOR, http://www.jstor.org/stable/1316192 Crane, Ellen Bicknell. “Historic Homes and Institutions and Genealogical and Personal memoirs of Worcester County, Massachusetts.” Lewis Publishing Company. 1907. Accessed online: https://books.google.com/books?id=nfhSZxL8bTEC&source=gbs_navlinks_s Crossland, Samantha R. “Made in Minneapolis, sewn all over the world.” Hennepin History. 2021, Vol. 80, No. 2. https://hennepinhistory.org/from-the-magazine-made-in-minneapolis/ Demorest, Ellen. “The Question of Labor. Women’s Work and Wages.” New York Times. Nov. 18, 1863. https://timesmachine.nytimes.com/timesmachine/1863/11/18/78710875.pdf?pdf_redirect=true&ip=0 “The Educational Legacy of Simplicity Pattern Company.” Simplicity Patterns. September 2024. https://simplicity.com/blog/the-educational-legacy-of-simplicity-pattern-company Emery, Joy Spanabel. “A History of the Paper Pattern Industry: The Home Dressmaking Fashion Revolution.” Bloomsbury Visual Arts. 2020. Freyle, Diego de. “Geometria Y Traça Para El Oficio De Los Sastres.” Sevilla, Spain. 1588. Accessed online: https://archive.org/details/1588-geometria-y-traca-para-el-oficio-de-los-sastres/page/n1/mode/2up Johnson, Susan. “’Madame’ Demorest—The Woman at the Top of a 19-Century Fashion Empire.” Museum of the City of New York. April 15, 2020. https://www.mcny.org/story/madame-demorest-woman-top-19-century-fashion-empire The Editors of Encyclopaedia Britannica. "Ebenezer Butterick". Encyclopedia Britannica, 25 May. 2025, https://www.britannica.com/biography/Ebenezer-Butterick Britannica, The Editors of Encyclopaedia. "Ellen Louise Curtis Demorest." Encyclopedia Britannica, 11 Nov. 2024, https://www.britannica.com/money/Ellen-Louise-Curtis-Demorest “Demorest’s Illustrated Monthly and Mme. Demorest’s Mirror of Fashions.” April 1865. https://ia802801.us.archive.org/8/items/demorestsillustr00newy/demorestsillustr00newy_bw.pdf “Design Group Americas Voluntarily Files for Chapter 11 Protection, Initiates Sale Process Aimed at Maximizing Value Through Going Concern Transactions.” BusinessWire. July 3, 2025. https://www.businesswire.com/news/home/20250703734892/en/Design-Group-Americas-Voluntarily-Files-for-Chapter-11-Protection-Initiates-Sale-Process-Aimed-at-Maximizing-Value-Through-Going-Concern-Transactions “Joseph M. Shapiro of Simplicity, 79.” New York Times. July 31, 1968. https://timesmachine.nytimes.com/timesmachine/1968/07/31/76959179.pdf?pdf_redirect=true&ip=0 “Millinery.” New York Times. Nov. 7, 1853. https://www.newspapers.com/image/20309463/?match=1&terms=%22Mme.%20Demorest%22 “The 40’s from The War Effort to The New Look - Championing Fashion that Matters.” Simplicity Patterns. September 2024. https://simplicity.com/blog/vogue-patterns-an-evolution-of-american-style Queen, James and William Lapsley. “The Tailor’s Instructor.” Philadelphia. 1809. Accessed online: https://dn790007.ca.archive.org/0/items/taylorsinstructo00quee/taylorsinstructo00quee.pdf Reyes-Martinez, Marcos A. “The Vara: A Standard of Length With a Not-So-Standard History.” National Institute of Standards and Technology. Oct. 11, 2019. https://www.nist.gov/blogs/taking-measure/vara-standard-length-not-so-standard-history Walsh, Margaret. “The Democratization of Fashion: The Emergence of the Women’s Dress Pattern Industry.” The Journal of American History, vol. 66, no. 2, 1979, pp. 299–313. JSTOR, https://doi.org/10.2307/1900878 See omnystudio.com/listener for privacy information.