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From the blog · Behind the scenes What One Episode Costs to Make About 27 cents with a premium model writing the script, about 16 cents with a cheaper one. Where the money goes, as of 31 October 2026, and how much a single sponsor could take off. 
#6605: Four Layers Between Your Ears and Background Noise
In a classic listening test, two-thirds of people with low working-memory span heard their name in an ignored ear, versus one in five with high span.
#6604: What Breaks When You Train AI on Synthetic Taste
Inverting a user's preference pairs left a personalized reward model's predictions unchanged in 86 percent of cases.
#6603: Lossless vs. Hi-Res Audio and Whether Ears Can Tell
In a 12,500-trial meta-analysis, listeners picked hi-res audio over CD quality just 52.3% of the time—barely better than a coin flip.
#6602: Training Voice LoRAs on Filtered Zero-Shot Audio
Training six OmniVoice LoRA adapters cost under two dollars per voice, using Whisper to filter out mispronounced takes.
#6601: Mapping Foot Pedals by Device ID Instead of F13
On macOS, F21 through F24 are dropped entirely, and KDE binds F13 by default—proving reserved keys aren't safe for foot pedals.
#6600: Reverse Engineering Windows Configurators on Linux
AvaloniaILSpy is archived, dnSpyEx now runs natively under Wine, and Ghidra's ReVa extension lets LLMs trace native binaries over MCP.
#6599: Two Sentences That Broke AI Reverse Engineering
Two sentences added to Claude Code's prompt to stop game cloning accidentally caused it to refuse legitimate reverse engineering mid-task.
#6598: Why Your Python Command Is Probably a Rust Binary
Running pip install uv downloads a 53-megabyte Rust binary, with a tiny Python stub whose only job is pointing to it.
#6597: Why Terminal-First Developers Embraced AI Agents
Stack Overflow's survey puts Claude Code at 65.5% adoption, driven by developers running multiple AI agents inside tmux and git worktrees.
#6596: Why Audio CLIs Are Shaped for AI Agents
SoX hasn't had a stable release since 2015, yet it still beats GUI editors at noise profiling and gives AI agents text they can actually read.