Episode 261 - To Finish the Race

On Sexagesima Sunday, we turn to the Parable of the Sower. We reflect on the four kinds of soil — and the unsettling truth that most who receive the word do not endure. This isn’t meant to discourage, but to prepare us: for the real dangers of a hardened heart, shallow roots, and a life slowly crowded by the cares of the world. We consider what it means to cling with faithfulness — to show up, to endure, to finish well. Not with brilliance or speed, but with steady trust and love that lasts.

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The Data Exchange with Ben Lorica 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/]. Driftplume Azure Lorica Azure Lorica is excited to bring quality performances and entertainment to the new generation of the radio revival.Our channel is one of our opportunities to keep the traditions of theatre alive in our technology based world. We believe in the importance community (online and off) to keep the arts alive, and welcome the mixture of old and new methods.To learn more about our projects, please visit:www.driftplume.comDriftplume is the multi media performing arts ensemble of Azure Lorica Foundation (501c3). ¡Lorica suena a...! By El Cuentero Un podcast sobre tradiciones orales e historias de vida de nuestros abuelos. Generative AI in the Real World O'Reilly In 2023, ChatGPT put AI on everyone’s agenda. Now, the challenge will be turning those agendas into reality. In Generative AI in the Real World, Ben Lorica interviews leaders who are building with AI. Learn from their experience to help put AI to work in your enterprise.

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This episode was published on February 24, 2025.

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