🧘 How Bounded Sub-Agents Fix Unbounded AI

Dr. House versus the wellness robot: the million-token window drowns the seizure, and spec leaves are the fix.

❌ Errata, line by line

• “this method yields a staggering 99.85% savings on token costs.” 01:24Same as the flight-recorder brief: rung 2, labelled against the 1M counterfactual, never savings.sells rung 2 (99.85 %) as token-bill savings · settled by C563b
• “Plus, it creates strict mathematical boundaries so the AI is actually safe and auditable.” 01:29Auditable, yes; safe is a behaviour promise we never make.promises the agent stays inside a line · settled by CLAUDE.md NEVER GUARANTEE BEHAVIOR

✅ Said right, quoted as said

• “and tells the patient to do box breathing, which House absolutely roasts as Wally doing yoga.” 00:28
• “Well, you might think giving an AI a massive, million-token memory makes it way smarter, right?” 00:48
• “No way. It actually creates a huge needle-in-a-haystack problem.” 00:53
• “Developers are ditching those massive memory windows and breaking the AI's job down into tiny, isolated microtasks,” 01:12
• “often called spec leaves.” 01:19

📝 The transcript, word for word with timestamps · mdx seed: “Wall-E Is Doing Yoga” ★★★★☆