The Data Exchange with Ben Lorica

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.

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.

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.