Paradigm Shock

The world is undergoing a radical transformation. Welcome to Paradigm Shock, the interdisciplinary podcast that provides critical analysis of the major forces at play, from the revolutionary impact of Artificial Intelligence and modern Fintech to the historic changes underway in the financial architecture of the global dollar system and its future. In our exploration of the shifting economy and investing landscape, the impact of digital currencies such as stablecoins and Bitcoin, and the ever-changing currents of culture and society, we grapple with the details and nuance to separate hype from reality. Join us as we navigate these critical times, offering insightful analysis and varied perspectives on the profound changes shaping our future.

Paradigm Shock is a news podcast hosted by Unknown Host, with 29 episodes on record and a Required Pod Score of 80.

Unknown Host hosts Paradigm Shock, a news show with 29 episodes published.

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  Episode #30

  Inside FAR AI's Security Leaderboard: Ranking Models by Cost to Break with Edward Yee

  Sep 27, 202642 min

  Anjon Roy interviews Edward Yee, Chief Growth Officer at FAR AI, about the nonprofit’s new AI Security Leaderboard, a public ranking that measures how costly it is to find universal jailbreaks against frontier AI models providers such as Gemini, Grok, Open AI's GPT and Anthropic's Claude models, with many more to come. Yee explains why traditional evals fall short, and why a dollar-based “cost to jailbreak” metric provides the public a more actionable gauge of real-world safety. The conversation covers FAR AI’s collaborative yet independent red teaming, why CBRNE and cyber risks were prioritized, and how uneven safeguards across models create systemic vulnerabilities that bad actors can exploit. Show Links AI Security Leaderboard: https://leaderboard.far.ai/ FAR.AI Website: https://www.far.ai/ Edward’s LinkedIn page: https://www.linkedin.com/in/edward-yee/ Sponsor Page CyberEDX.com Contact Show Parshock2025@gmail.com

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  Paradigm Shock

  From Brooklyn Classrooms to Enterprise Agents and Harnesses with Sachin Kamdar of elvex

  Sep 23, 202653 min

  This episode confronts the frontier model vs. open-weight debate and the economics driving model choice. Kamdar argues that models are increasingly commoditized for routine enterprise uses; open-weight options now offer competitive capability at far lower cost, shifting procurement toward model routing and hybrid architectures. He also challenges narratives about AI-triggered layoffs, citing evidence that AI-native firms often grow headcount while vastly increasing throughput. The episode closes with a forward-looking warning and playbook: companies that pursue an offensive strategy of adopting the right platforms, observability and context engineering will outpace those that cling to protectionism or paralysis. Show Links The Practical Work Benchmark Report - https://www.elvex.com/resources/practical-work-benchmark-report Study of 3.8 million messages to understand how Prompt Engineering is changing - https://www.elvex.com/resources/context-engineering-replacing-prompt-engineering elvex website: https://www.elvex.com/ Sachin Kamdar on LinkedIn - https://www.linkedin.com/in/kamdar/ elvex on LinkedIn - https://www.linkedin.com/company/elvexai/ Sponsor Page CyberEDX.com Contact Show Parshock2025@gmail.com

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  Episode #28

  China, AI Risk and the AGI Race: How Capital and Hype Built a Bubble with Alvin Wang Graylin

  Sep 1, 20261h 7m

  Alvin Wang Graylin dismantles the dominant AGI race narrative, arguing much of it is a market‑manufactured scramble driven by capital, narrative hype and short‑term valuations. He explains the enormous CapEx overhang with trillions sunk into data centers and GPUs while open source models and regional labs close capability gaps at a fraction of the cost. The episode shows why frontier labs’ growth projections are unrealistic. Alvin calls for a reorientation of public policy away from protecting a few winners toward broader economic and infrastructure priorities. The conversation also covers the upcoming U.S.–China AI risk and safety talks where Alvin serves as an advisor. Then the conversation moves to Alvin's proposed reframing of AI risk and governance itself: smaller, specialized models running on consumer hardware can be more dangerous in widely deployed contexts than large frontier models. Alvin and Anjon map how the orchestration layer enables durable advantage and multiplies threat vectors, especially in cyber, chemical, and bio domains, arguing that regulating only large training runs misses the dispersed reality of risk. Bio: Alvin Wang Graylin is a Digital Fellow at Stanford’s Human-Centered AI Institute, Senior Fellow at the Asia Society Policy Institute Center for China Analysis, Professor of AI and Technology Policy at the University of Washington, and author of Our Next Reality. With more than 35 years of experience across AI, semiconductors, immersive computing, and cybersecurity, he brings a rare cross-cultural perspective from extensive work in both the United States and China. Show Links Beyond Rivalry: A US-China Policy Framework for the Age of Transformative AI The Enterprise AI Playbook: Lessons from 51 Successful Development s The Biggest AI Models Are Not The Biggest Threats in Cypher Brief The Abundanist Substack Alvin’s LinkedIn Page Sponsor Page CyberEDX.com Contact Show Parshock2025@gmail.com

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  Episode #26

  The Artisan Approach to AI Governance with Karl Herbert Grabbi from Credo AI

  Jul 28, 202642 min

  This conversation blends philosophy, product, and enterprise realities. Karl frames AI as an extension of human creativity and flourishing, urging leaders to ground governance in purpose and the humanities. He unpacks concrete deliverables from governance engagements such as configured workflows, knowledge graphs, control libraries, and integrations with cloud developer platforms, and highlights unsolved problems like reliably measuring agent ROI and telemetry. The episode closes with a humane reminder: translate values into code to govern in real time, then use the gains from AI to spend time on what matters most. Bio: Karl Herbert Grabbi is the Director of Global Advisory Services at Credo AI, where he leads a team of forward-deployed AI governance engineers working inside enterprises to operationalize trustworthy AI. His work sits at the intersection of innovation, risk management, and human judgment, built on the belief that durable AI governance has to be as much about values and craftsmanship as it is about frameworks and code. Karl’s LinkedIn Page https://www.linkedin.com/in/karl-herbert-grabbi-cfa-7a531058/ Credo AI Website https://www.credo.ai/ Sponsor Page CyberEDX.com Contact Show Parshock2025@gmail.com

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  Episode #25

  AI's Double-Edged Sword: Risks, Rewards and Race Dynamics in Cybersecurity with Dr. Joanna Santos

  Jun 19, 202659 min

  The first in person video recording of a Paradigm Shock episode, now available on the new YouTube Channel. In a thought-provoking discussion on Paradigm Shock, University of Notre Dame Professor Dr. Joanna Santos explores the significant intersection of AI and cybersecurity. The episode sheds light on the capabilities of Anthropic's Mythos and other advanced models, an AI that can identify and patch vulnerabilities autonomously but is kept under wraps to prevent misuse. Santos emphasizes the shifting dynamics in cyber threats, as AI speeds up the detection and exploitation race. She also touches on the potential role of quantum computing in cybersecurity and the remarkable journey that has brought her to the forefront of this rapidly evolving field. They finish with thoughts on the World Cup Note:Recorded on June 4th 2026 YouTube Recording: https://www.youtube.com/watch?v=d10n0oFnlE8&t=378s Connect Joanna Santos GitHub page: https://joannacss.github.io/ Notre Dame Page: https://engineering.nd.edu/faculty/joanna-cecilia-da-silva-santos/ Google Scholar Page: https://scholar.google.ca/citations?user=mkGmYyAAAAAJ&hl=en&oi=sra Notre Dame S2E Lab: https://s2e-lab.github.io/members/ Subscribe to Paradigm Shock on YouTube: / @paradigmshock2000 Show Contact Show Parshock2025@gmail.com

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