The Data Exchange with Ben Lorica
A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
Episodes
In this episode, Yishay Carmiel and Roy Zanbel of Apollo Defend discuss the rapidly evolving landscape of voice AI and its emerging security threats.
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Detailed show notes - with links to many references - can be found on The Data Exchange web...
Shreya Shankar is a PhD student at UC Berkeley in the EECS department. This episode explores how Large Language Models (LLMs) are revolutionizing the processing of unstructured enterprise data like text documents and PDFs. It introduces DocETL, a framework using a MapReduce approach with LLMs for semantic extraction, thematic analysis, and summarization at scale.
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Douwe Kiela, Founder and CEO of Contextual AI, discusses why RAG isn’t obsolete despite massive context windows, explaining how RAG 2.0 represents a fundamental shift to treating retrieval-augmented generation as an end-to-end trainable system.
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Zach Lloyd, Founder/CEO of Warp, joins the podcast to discuss how Warp is revolutionizing the command-line terminal by integrating AI.
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Detailed show notes - with links to many references - can be found on The Data Exchange web site.
Jackie Brosamer and Brad Axen from Block discuss codename goose (Goose), their open-source AI agent designed to automate complex engineering and knowledge work.
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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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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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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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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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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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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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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...
Nestor Maslej is a Research Manager at Stanford's HAI, and editor-in-chief of the 2025 AI Index Report.
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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 Excha...
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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Chi Wang is co-creator of AG2, and a Senior Staff Research Scientist, Google DeepMind. This episode explores AG2, an open-source “agent OS” that provides infrastructure for developers to build sophisticated multi-agent AI systems.
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Ilan Kadar is co-founder and CEO of Plurai. This episode introduces IntellAgent, an open-source platform designed to address these challenges through synthetic data generation, knowledge graph construction, and reinforcement learning for agent optimization.
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Travis Addair is Co-Founder & CTO at Predibase. In this episode, the discussion centers on transforming pre-trained foundation models into domain-specific assets through advanced customization techniques.
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Hagay Lupesko is the SVP for AI Inference at Cerebras Systems.
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This is our semi-regular conversation on topics in AI and Technology with Paco Nathan, the founder of Derwen, a boutique consultancy focused on Data and AI.
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Detailed show notes - with links to many references - can be found on The Data Ex...
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