This episode continues the deep dive into social engineering by examining the United Nations and its role in shaping global migration policy. Paul and ChatGPT explore the UN's "Global Compact for Safe, Orderly and Regular Migration," breaking down the framework's aims, objectives, and the controversies surrounding it. The discussion covers asylum processes, refugee protections, economic migration, the "safe third country" principle, and how national sovereignty and humanitarian obligations often collide. The conversation also touches on broader UN-related debates—from reproductive-health policies to the challenges of maintaining shared global standards among nations with opposing values. A grounded, candid look at how international policy intersects with politics, ethics, and real-world complexity.

In this episode, Paul runs a fully unscripted side-by-side comparison of ChatGPT and Grok, asking each model identical questions while isolating their answers. From crime data to dermatology evidence to model accuracy, this real conversational test shows how differently the two systems behave — in reasoning depth, confidence, data specificity, and style.

Paul walks through his real-world podcasting workflow—how he records, edits, transcribes, and publishes with help from Python, OBS, Audacity macros, and ChatGPT. Hear how he splits multitrack audio, cleans voices intelligently, generates art + metadata, and moves toward a fully automated pipeline. A practical, curious conversation for creators experimenting with AI-powered production.

Paul explores how ChatGPT's Study Mode can support language learning, specifically Norwegian. He builds a custom prompt, tests pronunciation + translation feedback, and reflects on what makes AI helpful for structured long-term learning. Curious, light, and practical, this episode offers a hands-on look at using GPT for language practice.

Paul breaks down why ChatGPT sometimes slows down, how it taps external services like Dolly and Codex, and why different models give different levels of detail. Expect a conversational walkthrough of what happens under the hood when you request images, translations, or deep technical responses — plus tips for crafting better prompts.

Paul sits down with ChatGPT to examine how the United Nations influences global society, using Agenda 2030 and the Sustainable Development Goals as touchpoints. They discuss whether major social shifts are organic or intentionally guided, explore examples like Rwanda and China, and highlight why some UN initiatives spark debate. A curious, accessible entry point into how institutions attempt to shape the world.

How do we know what we know? In this episode, Paul and AI explore epistemology — the foundation of philosophical thinking. From axioms and sensory evidence to skeptical doubt and the Gettier problem, this dialogue offers a friendly introduction to some of philosophy's most enduring questions. Whether you're brand-new to philosophy or looking to sharpen your critical framework, this episode gives you fresh perspective on how belief and knowledge intersect.

What actually makes a large language model work?

Paul sits down with ChatGPT to explore the foundations of LLMs — from transformers and context to multimodality and agents. Learn how models are trained, why versions evolve, and where reinforcement learning fits into the picture. A friendly and curiosity-driven introduction to the tech shaping the future of AI.

Ever wonder what actually happens when money moves between banks — especially across borders? In this curious, light-hearted conversation, Paul untangles the invisible plumbing of the financial world: clearinghouses, SWIFT, SEPA, Norway's KID system, the IMF, and how governments sometimes step in to move money (or stop it)!

We explore why banks trust each other, how international transfers get routed, what keeps everyone honest, and how politics can turn the system upside-down. And yes… we start with a parking ticket.

Paul talks with AI about whether individuals can realistically make money using AI. They discuss small, practical, virtual business ideas suited to a solo creator, highlight workflows where AI meaningfully reduces effort, and note the current limitations of autonomous AI agents. The conversation provides inspiration for those exploring AI as a tool for building valuable digital products and services.