371 Episoden
- In this episode, we talk with Joel Hron, CTO of Thomson Reuters, about the company’s decision to develop its own frontier AI model, Thomson, using open-weight models and decades of proprietary content and expertise.
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Detailed show notes and transcript, can be found on The Data Exchange web site. - Piero Molino, CEO and co-founder of Studio Atelico, joins Ben Lorica to discuss what happens when AI becomes a core game mechanic rather than a cost-cutting tool.
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Detailed show notes and transcript, can be found on The Data Exchange web site. - Ben Lorica speaks with Zuzanna Stamirowska, CEO of Pathway, about the company’s push beyond transformers toward models that reason in latent space, learn from experience, and maintain state over long time horizons.
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Detailed show notes and transcript, can be found on The Data Exchange web site. - Richard Ho, VP of Hardware at OpenAI, explains how the team built Jalapeño, its first custom AI accelerator, and why controlling more of the hardware stack could lower inference costs and improve performance.
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Detailed show notes and transcript, can be found on The Data Exchange web site. Navier-Stokes and AI generated work: If You Can't Explain It, Did You Really Do It?
12.09.2026 | 56 Min.Ben Lorica is joined by Evangelos Simoudis for a wide-ranging discussion on how AI is reshaping knowledge work: from the Navier-Stokes controversy and the need to protect intellectual property to whether workers should still be expected to understand and defend AI-generated work.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
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Über 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/].
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