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.
#2578: Building Deliberately Slow Deployment Pipelines
How to build CI/CD pipelines designed as filters, not firehoses — with manual gates, staging environments, and quality checks.
#2567: Beyond Pixels: Controlling Apps Without Vision
How MCP agents can use accessibility APIs and COM to control Windows and macOS apps at the protocol level.
#2563: How Audio Fingerprinting Actually Works
Spectrogram peaks, constellation maps, and hash matching — the elegant mechanics behind identifying any song in seconds.
#2559: The Smartest Path to Python for AI
A practical guide to the best courses and platforms for learning Python, specifically for machine learning.
#2558: Should You Say Please to AI?
The surprising cost, technical tradeoffs, and ethical dilemmas of saying "please" to chatbots.
#2551: How Progressive Disclosure Saves MCP from Token Bloat
Why dumping all tool schemas into context breaks accuracy — and three implementations that fix it.
#2546: The Invisible Engineering Behind a Single Click
The technical stack behind click-to-edit features in tools like Canva and Google Photos — from segmentation to inpainting.
#2545: Visual AI Pipelines: Beyond Python Glue Code
From ComfyUI to Dify — a tour of visual tools for building modular AI workflows without writing glue code.
#2544: How to Make AI Architectural Renders Photoreal Without Breaking Geometry
Fixing the uncanny valley in AI-enhanced architectural renders — without breaking the geometry.
#2543: Why Base64 Adds 33% Overhead (And Why You Still Need It)
Base64 isn’t compression — it’s a safe transport encoding. Here’s how it works with audio APIs and where its limits are.
#2541: Agent-to-Agent Scheduling: Building the Calendly for AI
How Google's A2A protocol and Anthropic's Remote MCP could power a new kind of agent handoff for scheduling meetings.
#2540: Does Your AI Framework Change the Output?
Same model, same prompts, different harness. Does the plumbing change the water?
#2539: When Does AI Stop Hallucinating and Start Reconstructing?
What happens when you feed hundreds of photos into an AI world generator — do you capture reality or just a convincing dream?
#2536: Self-Hosted Zapier Alternatives in 2026
n8n, Huginn, and Dagu compared for personal automation on your own hardware.
#2535: Inside LangChain's Deep Agents: What's Actually in the Box
A deep dive into the batteries-included agent harness with terminal CLI, sub-agents, and production-ready evaluation.
#2534: Can AI Generate Diagrams Without Typo Disasters?
Why AI diagram tools still mangle text labels — and what to do about it today.
#2518: How Jailbreaking Reveals AI's Hidden Tension
What the DAN prompt and grandma exploits reveal about the structural conflict inside every LLM.
#2517: How Unsloth Makes LLM Fine-Tuning 2x Faster
Unsloth cuts memory usage by 50-70% and speeds up training 2.2x for models like Llama 3 and Mistral.
#2516: Overfitting Is Not a Binary Condition
Overfitting isn't binary. Learn the real triggers, the bias-variance tradeoff, and modern techniques to prevent it.
#2515: Digital Sovereignty and the Shekel Stablecoin
How a new shekel-backed stablecoin could reshape digital finance—and why Israel’s approach is different from CBDCs or unregulated crypto.