The Data Exchange with Ben Lorica

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.
Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.

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.
Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.

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.
Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.

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.
Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.

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. 
Subscribe to the Gradient Flow Newsletter 📩  https://gradientflow.substack.com/
Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon ·  RSS.

Detailed show notes and transcript, can be found on The Data Exchange web site.