In this episode, host Ben Lorica sits down with Kay Zhu, Co-founder & CTO of Genspark AI, to explore the rapid evolution of autonomous AI agents and the concept of hiring your first “AI employee.” 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, host Ben Lorica sits down with Arun Kumar (Associate Professor at UC San Diego and Co-founder/CTO of RapidFire AI) to explore the rapidly evolving discipline of agent engineering. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, Ben Lorica is joined by Mikio Braun, Senior Principal Applied Scientist at Zalando, for a wide-ranging conversation about the practical realities of AI-powered coding agents. They explore the unique challenges of using coding agents for data science workflows, the team-level implications of dramatically increased developer velocity, and what skills will matter most in an AI-augmented workplace. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, host Ben Lorica speaks with Jeff Hawke, CTO at Odyssey, about world models — a category of AI that generates continuous, interactive simulations from images or text prompts. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Chen Goldberg, EVP of Engineering at CoreWeave, joins the podcast to discuss the critical infrastructure shifts required as companies move AI from pilot to production. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, host Ben Lorica is joined by Evangelos Simoudis to explore how artificial intelligence is reshaping the modern workplace and what knowledge workers must do to adapt. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Ben Lorica talks with Sudip Roy (Co-founder & CTO, Adaption Labs) about why enterprise AI adoption stalls in the “last 5%” of reliability — and why waiting for the next frontier model release is usually the wrong bet. They unpack “adaptation” as something broader than post-training, including gradient-free, inference-time techniques that can sit above models to route, combine, and continuously improve behavior.

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

Jason Martin, Director of Adversarial Research at HiddenLayer, returns to discuss the security implications of OpenClaw, a viral open-source AI personal assistant that was entirely vibe-coded and has exploded to 180,000 GitHub stars. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, Umur Cubukcu, co-founder of Ubicloud, explains what an “open cloud” should mean in practice — starting with an open-source control plane and extending to transparency, portability, and freedom from data lock-in. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.

In this episode, Sid Sheth, founder and CEO of d-matrix, discusses the company’s approach to AI inference hardware with a focus on solving the memory bottleneck problem. 

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Detailed show notes - with links to many references - can be found on The Data Exchange web site.