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    News Recommendations

    News recommendation algorithms influence far more than what stories we click—they can shape our understanding of the world. In this episode, Kyle Polich speaks with Andreea Iana about responsible AI, filter bubbles, multilingual news recommendation, and her open-source NewsRecLib framework for evaluating recommender systems. They explore why bigger models aren't always better and how future recommendation systems can balance personalization with diversity and societal impact.

  • We Interviewed a Puppet and It Made A Lot of Sense

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    We Interviewed a Puppet and It Made A Lot of Sense

    Attitudes around social media are changing. A Pew Research study found that about half of teens surveyed in 2024 felt that social media had a mostly negative impact on their age group. A group advocating a more considered relationship to tech held what they called a Summer of Ludd Festival, named after the Industrial Revolution era workers movement, the Luddites. The festival in New York City featured tech-free activities ranging from meditation to a workshop on how to flirt in real life. But in 2026, is it really possible to live without the tech we’ve become so addicted to? Guest host Manisha Krishnan, WIRED’s senior culture editor, talks to Gowanus, the spokespuppet of a local Luddite movement, about the tenets of their group - and how they plan to grow it. Learn more about your ad choices. Visit podcastchoices.com/adchoices

  • #368 AI Agents Are Now Your Database's Main User | Reynold Xin, Co-Founder at Databricks

    3 days ago

    #368 AI Agents Are Now Your Database's Main User | Reynold Xin, Co-Founder at Databricks

    For forty years, the rule held that transactional and analytical databases had to be separate systems, connected by fragile pipelines that move data from one to the other. That assumption is now being questioned. As AI agents start generating the majority of database activity, the old architecture is being redesigned around speed, scale, and a single copy of governed data. For anyone who works with data day to day, this raises practical questions. Do you still need separate systems for live and historical data? What happens to the pipelines you maintain? And how does your stack change when agents, not people, write most of the queries? Reynold Xin is co-founder and Chief Architect of Databricks. He is one of the original creators of Apache Spark, where he led the design of GraphX, Project Tungsten, and Structured Streaming, co-designed DataFrames, and served as release manager for Spark 2.0. He holds a PhD in Computer Science from UC Berkeley's AMPLab and a degree in Engineering Science from the University of Toronto. In the episode, Richie and Reynold explore self-service analytics with Genie, the ontology layer that grounds AI in enterprise data, handling hallucinations, governance and permissions for AI agents, merging transactional and analytical databases with Lakebase and LTAP, real-time analytics, controlling cost through autoscaling, the future of Spark and classic machine learning, and much more. Links Mentioned in the Show: • Connect with Reynold: https://www.linkedin.com/in/rxin • Genie (Databricks data agent): https://www.databricks.com/product/genie • Genie Ontology / Genie One: https://www.databricks.com/blog/introducing-genie-one-genie-ontology-and-genie-agents • LTAP (Lake Transactional/Analytical Processing): https://www.databricks.com/company/newsroom/press-releases/databricks-launches-ltap-first-lake-transactionalanalytical • Lakehouse//RT: https://www.databricks.com/blog/introducing-lakehousert-real-time-performance-unified-lakehouse • Lakebase: https://www.databricks.com/product/lakebase • Apache Spark: https://spark.apache.org • AI-Native Course: Intro to AI for Work - https://www.datacamp.com/courses/introduction-to-ai-for-work • Related Episode: AI's Impact on Databases - https://www.datacamp.com/podcast/ais-impact-on-databases New to DataCamp? Learn on the go using the DataCamp mobile app - https://www.datacamp.com/mobile Empower your business with world-class data and AI skills with DataCamp for business - https://www.datacamp.com/business

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