Discursive Podcast

About Discursive Podcast

Each episode of Discursive takes one idea — from open source to FinOps, from AI agents to cloud cost models — and unpacks it through the lens of decades spent building the web, scaling infrastructure, and writing about how technology actually evolves. Recorded in Seattle, Discursive is a ten-minute conversation about where software has been and where it’s heading — across cloud, FinOps, open source, AI, and the culture that connects them.

Publisher

Tim O’Brien

Category

technology

Language

en

Explicit

No

First episode

27 Oct 2025

Latest episode

22 Nov 2025

Latest episodes

26 episodes in the feed.

1. 

   22 Nov 2025

   Weekly Tech News: The Cloudflare Outage and the Dangerous Centralization of the Cloud

   This week we examine Monday’s catastrophic Cloudflare outage that disrupted 20% of global web traffic, exploring what it reveals about our dangerous over-reliance on centralized cloud infrastructure. Plus: Anthropic thwarts the first AI-orchestrated cyberattack, Linus Torvalds weighs in on Rust and AI coding, NVIDIA beats earnings expectations despite investor exits, and the concerning expansion of robot dogs in law enforcement.

2. 

   21 Nov 2025

   Evolution of Databases Part III: Navigating the Vector Database Landscape

   Part 3 of a five-part series on database evolution dives deep into the vector database ecosystem, surveying both specialized engines like Pinecone, Milvus, and Weaviate, and traditional databases adding vector capabilities. The episode covers practical implementation choices, performance characteristics, operational trade-offs, and real-world costs for teams building AI-powered applications.

3. 

   19 Nov 2025

   Evolution of Databases Part II: Understanding Vector Databases - AI Turns Everything Into Numbers

   In this second installment of our five-part database series, Tim O’Brien explores the emergence of vector databases—a fundamentally new type of database built for AI applications that store mathematical representations of meaning rather than traditional rows and columns. The episode demystifies how embedding models convert text and images into high-dimensional vectors, why this matters for modern AI applications, and what it means when meaning itself becomes geometry.

Reach and audience

Public platform figures. Ratings count people who left a rating, not total listeners.

Apple Podcasts (US)

5.0 / 5

5 ratings

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Guest appearances

Does not typically book guests

Based on episode analysis; this does not confirm that the show is currently accepting guests.