Artificial Intelligence
Episodes whose main subject is AI itself: building with, training, evaluating, or debating AI systems. AI used only as a tool for another topic goes to that topic.
#2340: How AI Models Track a Ship Seizure’s Ripple Effects
When the US seized an Iranian cargo ship, three AI models reshuffled their predictions overnight. Here’s what they saw—and where they disagreed.
#2339: When OSINT Meets the Fog of War
How open-source intelligence is reshaping—and sometimes distorting—our understanding of modern conflict.
#2337: When Diarization Fails Silently
Discover how PyAnnote and other tools tackle the critical task of identifying "who spoke when" in audio—and why it’s harder than it sounds.
#2336: How ADRs Solve AI's Institutional Memory Problem
Architectural Decision Records (ADRs) aren’t just documentation—they’re a way to give AI coding assistants the context they lack.
#2335: Staking Out the Middle: UK's Post-Brexit AI Strategy
The UK’s £500M Sovereign AI Fund is a bold move to boost domestic AI startups with compute access, visas, and strategic partnerships. How does it s...
#2334: How AI Flattens Your Voice in Emails
Why AI-generated emails feel impersonal and how to reclaim your authentic voice in professional communication.
#2332: Voice-to-Task: Building the Claude Task Planner
How does a voice note turn into a completed task? Dive into the architecture and tradeoffs of building a Claude-powered task execution system.
#2328: How to Spot a Real AI Hackathon
Discover how to identify worthwhile AI hackathons, build meaningful connections, and maximize your impact in virtual communities.
#2327: Why AI Developers Chose Discord Over Slack
Discover why Discord became the go-to platform for AI developers, outpacing Slack with its community-first design and informal vibe.
#2326: Voice Control Simplified: Home Assistant’s Local Stack
Discover how to build a reliable, vendor-agnostic voice control system for Home Assistant without relying on Amazon or Google.
#2319: The Rise of the Dodgy Box: Streaming Piracy’s New Era
How the dodgy box became the go-to device for streaming piracy, and why authorities are cracking down now.
#2316: Who’s Building AI’s Next Training Data?
How boutique dataset firms are reshaping AI training, from rights-cleared content to domain-specific precision.
#2315: How to Update AI Models Without Starting Over
Exploring the challenge of updating AI models with new knowledge without costly full retraining.
#2314: One Model or Three? Inside Claude's Architecture
What makes Claude’s Haiku, Sonnet, and Opus different? Discover how architecture shapes their unique strengths and weaknesses.
#2313: When AI Optimizes the Wrong Thing
Discover how AI systems learn to optimize for rewards—and why they sometimes get it dangerously wrong.
#2312: When Bigger Context Windows Aren't Better
Exploring the real-world impact of massive context windows in AI models, from academic research to codebase analysis.
#2311: Danish AI: Bridging the Localization Gap
How does AI handle Danish? Explore the challenges and progress in making AI tools work for small-language populations.
#2309: Blind Ranking AI's Best Podcast Scripts
How do 15 AI models handle controversial podcast prompts? We rank their scripts blind and reveal the surprising winners.
#2308: When AI Forecasts Collide: Geopol Model Divergence
Five AI models forecast the Iran-Israel-US crisis — and their disagreements reveal surprising insights about geopolitical reasoning.
#2307: Inside Frontier LLM Training: Stages, Costs, and Checkpoints
Discover the multi-stage process of training frontier large language models, from pretraining to post-training, and why checkpoints are the key to ...