The Data Exchange with Ben Lorica
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 intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].
Show episodes
In this episode, Yishay Carmiel and Roy Zanbel of Apollo Defend discuss the rapidly evolving landscape of voice AI and its emerging security threats. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Ama
Shreya Shankar is a PhD student at UC Berkeley in the EECS department. This episode explores how Large Language Models (LLMs) are revolutionizing the processing of unstructured enterprise data like text documents and PDFs. It introduces DocETL, a framework using a MapReduce approach with LLMs for semantic extraction,
Douwe Kiela, Founder and CEO of Contextual AI, discusses why RAG isn’t obsolete despite massive context windows, explaining how RAG 2.0 represents a fundamental shift to treating retrieval-augmented generation as an end-to-end trainable system. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substac
Zach Lloyd, Founder/CEO of Warp, joins the podcast to discuss how Warp is revolutionizing the command-line terminal by integrating AI. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast Addict · Amazon · RSS. Deta
Jackie Brosamer and Brad Axen from Block discuss codename goose (Goose), their open-source AI agent designed to automate complex engineering and knowledge work. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/ Subscribe: Apple · Spotify · Overcast · Pocket Casts · AntennaPod · Podcast A
Oumi Labs CEO Manos Koukoumidis lays out a vision for “unconditionally open” foundation models—where data, code, weights, and recipes are all transparent and reproducible—arguing this is the only path to production-grade, trustworthy AI. Subscribe to the Gradient Flow Newsletter 📩 https://gradientflow.substack.com/
