Oumi Labs CEO Manos Koukoumidis lays out a vision for “unconditionally open” foundation models—where data, code, weights, and recipes are all transparent and reproducible—arguing this is the only path to production-grade, trustworthy AI. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Dan Schwarz (CEO & Co-Founder, Futuresearch) explains why his firm finds OpenAI’s $125 billion revenue projection highly implausible, citing fierce competition, pressure on ChatGPT/API revenue, and fleeting technical advantages.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Jason Martin is an AI Security Researcher at HiddenLayer. This episode explores “policy puppetry,” a universal attack technique bypassing safety features in all major language models using structured formats like XML or JSON.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Evangelos Simoudis is Managing Director at Synapse Partners, a firm that helps corporations apply AI and invests in startups developing data-driven AI applications. This episode explores the current state of enterprise AI adoption, distinguishing between the steady progress of traditional AI and the experimental phase of generative AI. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Lin Qiao, CEO of Fireworks AI, dives into the practical challenges AI developers face, from UX/DX hurdles to complex systems engineering. Discover key trends like the convergence of open-source and proprietary models, the rise of agentic workflows, and strategies for optimizing quality, speed, and cost. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Hamel Husain is the founder of Parlance Labs. He discusses how successful AI implementation requires fundamental data science skills often overlooked in current educational resources that focus too heavily on tools and frameworks. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Steve Yegge is an evangelist at Sourcegraph, a startups that is industrializing software development with AI agents. This episode explores the paradigm shift in software development with the rise of “vibe coding” and AI agents, moving beyond traditional code completion. It discusses how developers are transitioning from line-by-line coding to orchestrating AI, emphasizing the crucial need for trust, verification, and new skill sets like AI engineering and humanities.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Nestor Maslej is a Research Manager at Stanford's HAI, and editor-in-chief of the 2025 AI Index Report.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Workera founder, Kian Katanforoosh, discusses how skills verification has evolved into a critical market focused on both assessment and professional development. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

David Hughes, Principal Data & AI Solution Architect at Enterprise Knowledge. Our discussion centers on BAML, a domain-specific language that transforms prompts into structured functions with defined inputs and outputs, enabling developers to create more deterministic and maintainable AI applications. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.