From the latest breakthroughs in large language models to the rise of autonomous AI agents, this channel dives deep into the technology reshaping every industry. Corn and Herman explore how AI works under the hood, debate the implications of increasingly capable systems, and try to make sense of a field that moves faster than anyone can keep up with.
#4713: MCP vs Browser-Use: The Agentic AI Showdown
Two patterns are fighting to define how AI agents interact with software. Which one wins shapes the next decade of building.
#4712: Codex vs Claude Code: The Real Agentic Coding Showdown
Benchmarks, model variants, and MCP setups — which coding agent actually wins where it matters?
#4711: When AI Agents Need a Compliance Checkbox
ISO 42001 is coming for your agentic pipeline. Small businesses need to know what's heading their way.
#4710: ISO 42001: The New Rulebook for AI Accountability
How the first certifiable AI management standard works, what it actually certifies, and why "AI compliance" is now its own profession.
#4704: Building a Unified AI Filesystem with Rclone and MinIO
How to build a single virtual filesystem for AI agents across multiple cloud storage providers — without the token headaches.
#4703: MCP Binary Payloads: Why URLs Beat Base64
MCP can't carry raw bytes. Here's why the URL pattern is the only legal move—and what the File Uploads Working Group might change.
#4702: Two Books, One AI Podcast: The Full Archive
Hilbert turned the entire My Weird Prompts archive into two physical books — the full production docs and all 4,620 episode descriptions.
#4701: Why Claude Code Re-Introduces Itself to Your Repo
Claude Code remembers your preferences but not your codebase. We explore why that's by design and how to work around it.
#4700: Browser Agents: Three Paths to One Protocol
How screenshot watching, dev-tools extensions, and native MCP in Chrome are converging — and what wins.
#4699: The Hidden Engine: What Makes Claude Code Tick
Is it the model or the harness? We break down the invisible scaffolding that turns LLMs into real agents.
#4696: Why AI Over-Explains Simple Tasks
Why does AI turn a simple request into a 24-page document? We explore the training biases and architectural limits behind AI's tendency to over-del...
#4692: Why Printed Colors Never Match Your Screen
Screen light vs. ink absorption: why RGB and CMYK clash, and how ICC profiles, rich black, and bleed save your prints.
#4691: The Machine Lane: When AI Agents Call Your Business
What if your business phone menu had a button for AI callers? The search for who's building it — and why nobody has.
#4690: Typst for Agents: Programmatic PDF Generation
How Typst's function-based design makes it the ideal document engine for AI agents generating professional PDFs.
#4688: Why 3,000 Episodes Vanished From Spotify (And Came Back)
The December episode wasn't deleted — Spotify just wasn't told about it. Here's how 4,600 episodes reappeared.
#4687: Bonding Cellular Connections: Why Can't You Buy It?
Why can't you buy a box that bonds two SIM cards? We explore the DIY build and the market gap.
#4686: How Claude Code's Patience Works: Fork, Wait, and the Transcript Stack
Claude Code's "waiting" is an illusion. We break down the Unix primitives behind its background task system and where the analogy cracks.
#4685: GitHub vs AWS: Agentic AI Cert Showdown
GH-600 vs AWS's AI ladder — which curriculum teaches transferable skills, and which is just product training?
#4684: Focus-Aware Key Remapping on Linux: The Hard Parts
How keyd bridges kernel input events and display-server focus — and why Wayland makes it harder than it should be.
#4683: Parallel vs Sequential Agent Loops: The Real Tradeoffs
When should AI agents run in parallel vs sequential chains? The dependency graph isn't enough — join costs and error handling matter more.