In this episode, Ben Lorica and Evangelos Simoudis of Synapse Partners to break down the most significant developments from CES 2026. They explore the explosion of humanoid robotics and the transition toward software-defined vehicles before diving into a deep analysis of the shifting US-China export controls on AI chips. 

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

Matthew Glickman, Co-founder and CEO of Genesis Computing and former VP of Product at Snowflake, joins Ben Lorica to discuss the emergence of AI data agents tailored for the data engineering persona. 

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

In this panel discussion from the PyTorch conference, Ben Lorica speaks with Samuel Colvin (Pydantic), Aparna Dhinakaran (Arize AI), Adam Jones (Anthropic), and Jerry Liu (LlamaIndex) about the current state of Agentic AI. 

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

To mark the season, we’re sharing twelve non-fiction selections for the twelve days of Christmas. These are books we enjoyed and found worth passing along, ranging from deep dives into semiconductor history to fresh looks at creative collaboration. Whether you’re looking for a companion for a long-haul flight, a thoughtful gift idea, or simply a quiet escape during the holidays, we hope you’ll find something in today’s episode worth your time.

Detailed show notes - with links to the books we mention - can be found on The Gradient Flow newsletter:   https://gradientflow.substack.com/p/your-holiday-reading-list-12-books

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Steve Wilson, Chief AI and Product Officer at Exabeam and lead of the OWASP GenAI Security Project, discusses the practical realities of securing Large Language Models and agentic workflows. 

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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 and Evangelos Simoudis of Synapse Partners explore the complex reality behind AI-driven layoffs, from automation and upskilling gaps to strategic shifts in R&D. They also dive into the massive capital investments in AI, discussing the growing pressure for ROI and the emergence of LLMOps as a form of financial management. The conversation highlights practical strategies for enterprises, emphasizing the need to break down organizational silos to succeed in the AI era.

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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 talks with Sakana AI research scientist Stefania Druga, formerly a research scientist at Google DeepMind, about building AI tools for young learners and what that teaches us about AI design for everyone.

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

Stanford professor and Kumo.ai co-founder Jure Leskovec introduces the concept of a relational foundation model for structured enterprise data. 

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

This episode features Philip Rathle, CTO of Neo4j, discussing the real-world state of Graph RAG and its journey from prototype to production in enterprise AI systems. 

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

Emmanuel Ameisen, an interpretability researcher at Anthropic, joins the podcast to demystify how large language models work.

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