Protecting Creator Ownership in the Era of GenAI and Web3 with Jordan Bayne

Protecting Creator Ownership in the Era of GenAI and Web3 with Jordan Bayne

Join Jordan Bayne, Founder of The Squad, the Film3™ brand, and Co-founder of enGEN3, for a radical re-evaluation of how intellectual property operates in an automated world. An acclaimed filmmaker whose Oscar-contender short The Sea Is All I Know starred Melissa Leo and screened at Cannes, Jordan has spent her career on the bleeding edge of narrative expression. Today, as Head of GenAI + Web3 for Goldfinch, she is tackling the ultimate creative crisis: the exploitation of IP by generative models. In this episode, we explore how the trademarked Film3™ movement uses Web3 guardrails and decentralized networks to turn passive audiences into active IP co-owners, creating a massive defensive wall for creators against corporate AI exploitation. 🎯 Insights You’ll Learn: The IP Sovereignty Crisis: How generative AI tools are mining legacy creative works without consent, and what filmmakers must do to legally lock down their intellectual property. Defining Participatory IP: Moving away from top-down media distribution toward transparent, community-owned story worlds powered by on-chain smart contracts. The Film3™ Blueprint: How Jordan's flagship brand, The Squad, is establishing a new industry standard that bridges independent filmmaking with Web3 infrastructure. The enGEN3 Control Plane: How enGEN3 is constructing production tools that let artists responsibly integrate GenAI into their pipelines while maintaining full provenance over their training data. Lessons from MetaCannes: Key takeaways from launching the MetaCannes Film3™ Festival and hosting the Film3™ OG Podcast on building real audience utility. From Cannes to Crypto: How Jordan’s background as an elite, festival-decorated director informs her view on data rights, artistic autonomy, and indie film financing. The New Entertainment Stack: Why combining advanced generative video tools with blockchain ledger systems is the only way independent cinema survives the corporate tech monopoly. 🌍 Why This Matters: In 2026, the entertainment industry is caught in a massive structural shift. Generative AI tools can spin up cinematic visuals in seconds, but they threaten to turn human artistry into a commoditized data set. Jordan Bayne argues that the traditional Hollywood model—where creators sign away their life’s work to centralized gatekeepers—is fundamentally defenseless in this new environment. Through Film3™ and enGEN3, Jordan is delivering a new social and financial contract for media. By locking creative assets into secure, decentralized ledgers and embedding clear ownership rules directly into the code, she is helping independent creators protect their work, fund their visions globally, and co-own their universes alongside their communities. 👤 Expert Background: Founder & CEO of The Squad and the Film3™ brand, the definitive ecosystem shaping the future of decentralized cinema. Co-Founder of enGEN3, a pioneering platform optimizing the safe convergence of AI execution, data provenance, and Web3 assets. Head of GenAI + Web3 at Goldfinch, leading strategic web3 media investments and technical integrations for the prominent UK entertainment firm. Award-Winning Filmmaker & Director whose critically acclaimed work has screened at Cannes, Palm Springs, and major global festivals. Pioneering Industry Voice who created the MetaCannes Film3™ Festival and hosts the influential Film3™ OG Podcast. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Independent filmmakers, intellectual property attorneys, digital media executives, Web3 infrastructure investors, and AI developers looking to build ethical, creator-first production frameworks. 🚀 Timely Topic: As the legal battles over AI training data and digital replicas heat up in 2026, the future belongs to those who own their distribution grids.

AI Didn't Just Make Software Better It Made New Software Possible with Todd Rogers

Join Todd Rogers, Co-founder and CEO of Moddy AI, for a paradigm-shifting exploration into the true nature of the artificial intelligence boom. For the past decade, building a production-ready predictive sports modeling business required millions of dollars in capital, an elite army of data scientists, and bespoke backend architectures—culminating in complex tools that only other data scientists could decipher. In this episode, Todd maps out how advanced LLMs and automated engineering workflows have completely rewritten this equation, moving past basic software optimization to open up entirely new categories of consumer and business software that were previously impossible to build. 🎯 Insights You’ll Learn: The Paradigm Leap: Why AI’s greatest contribution isn’t making legacy coding processes faster, but rendering complex data science entirely invisible to the end user. Democratizing the Theory: How Moddy allows anyone to type a sports betting thesis in plain English and automatically spin up a verified, high-performance predictive model. The Invisible Engine: What happens under the hood when a user-described concept is instantly cross-referenced against 126 million historical NBA, NFL, and MLB data points. The No-Code Accountability Era: Why Moddy enforces transparent, immutable public performance tracking and timestamping to eliminate the "hype-and-lock" tipster economy. Scaling Mass Personalization: Lessons from Todd's first venture, Seed Labs, where he scaled custom mobile apps across 5 million users for giants like Lollapalooza and the ESPN X Games. The Enterprise Translation: How decades spent managing complex text, labor, and content analytics at SPSS and Amazon shaped Todd's product approach to consumer sports prediction. The New Founder Playbook: Why modern founders should stop trying to build marginally better software utilities and instead focus on what AI has newly enabled from scratch. 🌍 Why This Matters: In 2026, the global sports wagering industry is a multi-hundred-billion-dollar juggernaut, yet the consumer tools powering it are fundamentally broken. Casual fans are forced to rely on talking-head media pundits, while sophisticated bettors spend endless weekend hours fighting complex Excel spreadsheets. Todd Rogers is breaking this divide. By turning the natural language of a user into structured algorithmic instructions, Moddy eliminates the steep data science barrier. This isn't about giving users an AI black box that dictates what to do; it's about providing the computational infrastructure that listens to a human theory, checks it against decades of real performance history, and gives the user back their own mathematical edge. 👤 Expert Background: Co-founder & CEO of Moddy AI, the premier platform transforming sports betting theories into transparent, data-driven prediction models. Co-founder of Seed Labs, a pioneering mobile CMS company acquired by event-tech titan Cvent, where he successfully scaled production to over 1,000 corporate applications. Analytics & Data Alumnus with a professional footprint optimizing complex data extraction at enterprise landmarks like SPSS and Amazon. Product Innovator dedicated to applying deep data infrastructure to the creator economy and individual retail prediction spaces. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Tech founders exploring category creation, predictive analytics engineers, sports-tech investors, data-driven creators, and entrepreneurs tracking the convergence of consumer AI and complex data modeling. 🚀 Timely Topic: The software victories of 2026 are going to the teams that realize code generation is just a baseline utility. Todd Rogers is providing the exact blueprint for how founders can capture this moment—turning unstructured human imagination into high-precision corporate systems.

From Portfolios to Planning: Proving Advisor Value in a Self-Directed World with Bennett Free

Join Bennett Free, Founder and Technical Lead of Fiscor, for a critical look at the shifting foundations of wealth management. For decades, a financial advisor's primary value driver was portfolio construction and asset allocation. Today, with the market flooded with self-directed trading apps, automated robo-platforms, and low-cost digital tools, investment management has become a commoditized baseline. In this episode, Bennett draws on his evolution from wealth management professional to software architect to map the industry's real future: transforming comprehensive, interactive financial planning into an advisor's core value proposition. 🎯 Insights You’ll Learn: The Commoditization of the Portfolio: Why relying solely on asset management is a losing strategy in a world of automated, low-cost digital tools. The Planning Shift: How moving the focus to cash-flow tracking, net worth forecasting, and personalized choice architecture changes the client relationship. Demystifying Complex Math: Bringing institutional-grade tools like Monte Carlo analysis and complex asset-liability matching into clear, accessible client conversations. The "What-If" Decision Lab: Helping clients model major life transitions—like buying a house or navigating career pivots—long before they occur. Capturing Younger Wealth: How to build high-engagement, white-labeled digital workspaces that meet the interface expectations of tech-native households. Behavioral Guidance: Utilizing structured simulation to visually calm investor anxiety and prevent knee-jerk decisions during market volatility. Building AI-Native Financial Systems: The tech reality of translating messy, fragmented banking data via Plaid into clean, predictive long-term models. 🌍 Why This Matters: In 2026, clients do not want a quarterly spreadsheet or a static 80-page PDF financial plan that gathers dust on a shelf. They want a living, breathing digital command center that reflects their real-world assets, liabilities, and immediate choices. Bennett Free is building the modern infrastructure that helps advisors step into this role as life-centric strategists. Fiscor transforms the planning process into an ongoing, collaborative workspace. By pairing advanced logic with intuitive product design, Bennett is showing the wealth management sector how to prove its worth—not by beating the market, but by giving families complete clarity and confidence over their entire financial lives. 👤 Expert Background: Founder & Technical Lead of Fiscor, a financial planning technology platform modernizing client-advisor collaboration. Wealth Management Alumnus who transitioned deep field experience in advisory services into building fintech systems. Fintech Systems Architect specializing in the implementation of white-label client portals, live account tracking, and automated cash-flow projection engines. Product Strategist focused on replacing legacy financial software with modern, data-driven decision labs. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Registered Investment Advisors (RIAs), certified financial planners, wealth-tech founders, broker-dealer executives, and digital-forward wealth managers looking to double their client retention and capture generational wealth transfers. 🚀 Timely Topic: The advisory business model is undergoing a massive transformation. The firms winning the market in 2026 are those using technology to build deep, behavioral partnerships with their clients. Bennett Free is delivering the platform and the technical playbook to make that scale. Subscribe for more global founder conversations from GSD Venture Studios: https://gsdvs.com #WealthTech #FinancialPlanning #Fiscor #Fintech #Advisors #WealthManagement #BennettFree #GaryFowler #GSDVentureStudios

The Holy Grail of Protein: How FUDI Is Unlocking RuBisCO at Scale with Udi Lazimy

Join Udi Lazimy, Founder & CEO of FUDI Protein, for a conversation on what may be the most important protein opportunity hiding in plain sight — and why the food industry has been routing it through a cow instead of putting it on your plate. After leading Sourcing and Sustainability at Eat Just — makers of Just Mayo and Just Egg — Udi saw firsthand how fragile and opaque alternative protein supply chains had become. His answer was FUDI: a food and agtech startup built on regenerative American-grown alfalfa, near-field mobile processing, and a circular model that returns byproducts to farmers as premium feed. The result is RuBisCO — the most abundant protein on Earth — unlocked for human food for the first time at commercial scale. In this episode, we get into the science, the supply chain logic, the crowdfunding strategy, and what it really takes to build a protein company that can rival egg white and whey on performance, price, and sustainability. 🎯 Insights You'll Learn: What Is RuBisCO?: RuBisCO — short for ribulose-1,5-bisphosphate carboxylase/oxygenase — is the most abundant protein on Earth, driving photosynthesis in plants, and has attracted repeated scientific interest for its amino acid profile and functional performance. So why has no one commercialized it — until now? Why the Market Wants It Badly: A severe U.S. whey protein shortage has some suppliers sold out through the end of 2026, with prices up more than 50% since January — and roughly 70% of Americans say they want more protein in their diets. RuBisCO is a supply-side answer to a supply-side crisis. The FUDI Difference: FUDI's proprietary alfalfa extraction process uses a localized and mobile processing model — plants are harvested and processed near the fields, and the high-value alfalfa byproduct is returned to local farmers, eliminating the byproduct commercialization challenge that constrains profitability for conventional protein crops like yellow peas and rice. Performance That Competes With Egg White: RuBisCO extracted from alfalfa leaves is a white, neutral-tasting, complete protein with a PDCAAS of up to 1.0, with functional properties comparable to egg white in foaming, gelling, and binding applications. The GLP-1 Tailwind: People using drugs like Ozempic experience a 25–40% decrease in muscle mass — far more than non-medicated weight loss — making high-quality, complete protein intake critical for the roughly 12% of U.S. adults now on GLP-1 medications. RuBisCO is positioned directly in that demand wave. The Dual Fundraising Model: FUDI is running an equity crowdfunding campaign on WeFunder alongside an institutional round led by Green Boy Group, funding the transition from lab-scale extraction to pilot production, customer sampling, IP filings, and the start of regulatory approval for human food use. The Infrastructure Ambition: "We're not inventing a new crop or asking farmers to change what they do," says Lazimy — alfalfa already grows on 17 million American acres. FUDI isn't a science project; it's a new layer of protein infrastructure built on what already exists. 🌍 Why This Matters: The protein in alfalfa leaves — some of the highest-quality protein on the planet — is essentially being routed through a cow before it reaches a human plate, and most of it never does. FUDI is reversing that inefficiency at the infrastructure level. 👤 Expert Background: Founder & CEO of FUDI Protein — a Madison, Wisconsin-based food and agtech startup extracting RuBisCO from American-grown alfalfa for B2B food ingredient markets. Former Head of Sourcing & Sustainability at Eat Just (Just Egg, Just Mayo) — with over 25 years of experience in alternative proteins and agrifood systems. Backed by Green Boy Group, a global B2B supplier of plant-based ingredients with offices across LA, Chicago, Amsterdam, Hong Kong, and Sydney.

AI Didn't Just Make Software Better It Made New Software Possible with Todd Rogers

Join Todd Rogers, Co-founder and CEO of Moddy AI, for a paradigm-shifting exploration into the true nature of the artificial intelligence boom. For the past decade, building a production-ready predictive sports modeling business required millions of dollars in capital, an elite army of data scientists, and bespoke backend architectures—culminating in complex tools that only other data scientists could decipher. In this episode, Todd maps out how advanced LLMs and automated engineering workflows have completely rewritten this equation, moving past basic software optimization to open up entirely new categories of consumer and business software that were previously impossible to build. 🎯 Insights You’ll Learn: The Paradigm Leap: Why AI’s greatest contribution isn’t making legacy coding processes faster, but rendering complex data science entirely invisible to the end user. Democratizing the Theory: How Moddy allows anyone to type a sports betting thesis in plain English and automatically spin up a verified, high-performance predictive model. The Invisible Engine: What happens under the hood when a user-described concept is instantly cross-referenced against 126 million historical NBA, NFL, and MLB data points. The No-Code Accountability Era: Why Moddy enforces transparent, immutable public performance tracking and timestamping to eliminate the "hype-and-lock" tipster economy. Scaling Mass Personalization: Lessons from Todd's first venture, Seed Labs, where he scaled custom mobile apps across 5 million users for giants like Lollapalooza and the ESPN X Games. The Enterprise Translation: How decades spent managing complex text, labor, and content analytics at SPSS and Amazon shaped Todd's product approach to consumer sports prediction. The New Founder Playbook: Why modern founders should stop trying to build marginally better software utilities and instead focus on what AI has newly enabled from scratch. 🌍 Why This Matters: In 2026, the global sports wagering industry is a multi-hundred-billion-dollar juggernaut, yet the consumer tools powering it are fundamentally broken. Casual fans are forced to rely on talking-head media pundits, while sophisticated bettors spend endless weekend hours fighting complex Excel spreadsheets. Todd Rogers is breaking this divide. By turning the natural language of a user into structured algorithmic instructions, Moddy eliminates the steep data science barrier. This isn't about giving users an AI black box that dictates what to do; it's about providing the computational infrastructure that listens to a human theory, checks it against decades of real performance history, and gives the user back their own mathematical edge. 👤 Expert Background: Co-founder & CEO of Moddy AI, the premier platform transforming sports betting theories into transparent, data-driven prediction models. Co-founder of Seed Labs, a pioneering mobile CMS company acquired by event-tech titan Cvent, where he successfully scaled production to over 1,000 corporate applications. Analytics & Data Alumnus with a professional footprint optimizing complex data extraction at enterprise landmarks like SPSS and Amazon. Product Innovator dedicated to applying deep data infrastructure to the creator economy and individual retail prediction spaces. 🎙️ Hosted by Gary Fowler, CEO of GSD Venture Studios — global AI entrepreneur, investor, and innovation leader spotlighting founders navigating the realities of building in the AI era. 💡 Perfect For: Tech founders exploring category creation, predictive analytics engineers, sports-tech investors, data-driven creators, and entrepreneurs tracking the convergence of consumer AI and complex data modeling. 🚀 Timely Topic: The software victories of 2026 are going to the teams that realize code generation is just a baseline utility. Todd Rogers is providing the exact blueprint for how founders can capture this moment—turning unstructured human imagination into high-precision corporate systems.