The Data Exchange with Ben Lorica

By Ben LoricaNews Technology Business News Tech News

The Data Exchange with Ben Lorica episodes

October 01 Why AI Makes Games Worse—and How to Make Them Better
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.
59 min
September 24 What Comes After Transformers?
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.
47 min
September 17 Inside OpenAI's First Chip
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.
36 min
September 12 Navier-Stokes and AI generated work: If You Can't Explain It, Did You Really Do It?
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.
57 min
September 10 The Missing Data for Spatial Intelligence
Ben Lorica talks with David Fattal, founder and CTO of Leia Inc., about why stereo data could become an important ingredient for AI systems that need to understand the physical world.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
45 min
September 03 Your AI Agent Is Costing You More Than You Think
Ben Lorica talks with Abi Aryan, AI engineer, author of LLMOps: Managing Large Language Models in Production, about how deploying generative AI is turning into a distributed systems problem.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
31 min
August 27 Reasoning Doesn't Start With Language
Ben Lorica speaks with Andrew Dai, co-founder and CEO of Elorian AI, about why today’s frontier models still struggle with complex visual reasoning and why simply scaling language-centric architectures may not solve the problem.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
41 min
August 20 An Agent Is Just an LLM in a For-Loop
Maarten Grootendorst, a developer relations engineer at Google DeepMind and co-author of Hands-On Large Language Models and An Illustrated Guide to AI Agents, joins Ben Lorica to explain the concepts developers need to understand beneath today’s AI tools.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
36 min
August 13 The Bloomberg Terminal for AI Compute
Steve Hou, Head of Research at Silicon Data, joins Ben Lorica to unpack the data behind the AI compute market: GPU rental indices, forward curves, and token expenditure trends that reveal a market still tightening despite talk of oversupply.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
46 min
August 08 Can China Do to Robotaxis What It Did to Solar?
Ben Lorica talks with Evangelos Simoudis about three forces reshaping AI: why recent “rogue agent” incidents may be more about permissions, identity, and governance than runaway intelligence; how the belief that AGI is near is helping sustain enormous investment in AI models and data centers despite unanswered questions about margins and ROI; and whether Chinese robotaxi companies can challenge Waymo globally by following a playbook similar to China’s rise in solar and batteries.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
55 min

About The Data Exchange with Ben Lorica

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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…