The Data Exchange with Ben Lorica

By Ben LoricaNews Technology Business News Tech News

The Data Exchange with Ben Lorica episodes

November 05 Your Agent Ran One Command. It Did a Dozen Things.
Ben Lorica talks with Chetan Conikee, founder of Modiqo and creator of Olki, about why existing tools often fall short when it comes to understanding what AI agents actually do. Chetan explains how Olki captures and classifies individual agent actions without relying on another LLM, providing detailed insights into costs, performance, and security.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
49 min
October 31 The AI Boom Is Impressive. Can It Last?
Ben Lorica and investor Evangelos Simoudis discuss the opportunities and risks revealed in Anthropic’s S-1, from explosive revenue growth and improving economics to mounting compute commitments, competition from open-weight models, and dependence on coding. They also examine SpaceX’s emerging neocloud business and whether access to cheap capital and growing demand can sustain it. Finally, they debate proposals for regulating frontier AI labs, including restrictions on AI self-improvement, independent testing, and mandatory disclosure of security incidents.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
51 min
October 29 When AI Writes the Code, Who Proves It Works?
Ben Lorica speaks with Leo de Moura, creator of Lean, VP and Distinguished Scientist at AWS, and Chief Architect of the Lean Focused Research Organization, about how AI is making formal verification more accessible and potentially transforming software engineering.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
47 min
October 22 Let Domain Experts Build the Agents
Akshay Sharma, ML Engineer at Lyft, and Nick Ung, Staff Applied Scientist at Lyft, explain how their team is building a platform that lets domain experts create customer-facing AI agents while engineers provide the underlying tools, guardrails, and evaluation infrastructure.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
54 min
October 15 AI Is Coming for Tasks Before It Comes for Jobs
MIT FutureTech director Neil Thompson joins Ben Lorica to discuss how AI is reshaping work, the economy, and the future of automation. Drawing on recent research, Thompson explains why AI’s impact on most occupations may unfold gradually rather than arrive as a sudden shock, why adoption continues to lag behind technical capabilities, and why the fixed costs of implementation favor larger firms.
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Detailed show notes and transcript, can be found on The Data Exchange web site.
57 min
October 08 Why Build Your Own AI Model When Frontier Models Already Exist?
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.
50 min
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

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…