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A lesson from old school deep learning that still applies in the age of LLMs

The most industrious people I know all want to leave their children "generational wealth." Seems great and noble. But... I've met so many worthless heirs – lazy, dishonest, spendthrift – that I often wonder if I'm just watching the first act of a play about family decline.

RIP Leon Krier. I disagree with some of his ideas but he was a great mind. His sketches are some of the best at illustrating principles and arguments about urbanism:

Leasing land is a good, pro-market policy

"cheese tycoon"

Seeing more and more engineers with titles like "experienced vibe coder" in their bios. I don't think this is communicating what they think it does.

Sensible analysis of what feels like a poorly designed study

Every item proposed here is excellent and would help make American cities much better for families.

I recently became a Dad and also bought a house. I keenly felt this tradeoff. Choose: 1. Pay a million+ dollars for what used to be a blue-collar starter home from 1920 in a great, walkable urban neighborhood 2. Buy a larger, cheaper house in bland, car-dependent suburbia

If used well, AI could significantly improve software quality. A lot of the frictions that make products bad (weird scrolling, poor UI about state) can be trivially sanded off with one-shot AI prompts. But these rubs are rarely fixed when other work takes precedence.

now referring to trite or uncreative ideas as "Within the distribution"

This is probably the thing I argue about the most with friends who otherwise favor non-traditional education. It'd be great to avoid coercion in learning. But it's impossible to get good at most valuable things without many hours of sometimes-painful work. Feeling "inspired" is

Great to see Addy Osmani mention Magnet as a code agent orchestrator.

it's interesting that by default Claude Code seems to favor a lot of object oriented design patterns (classes like XYZManager which takes as a dependency ABCManager)

Thinking of this as a Laffer Curve is a great analogy. Effective workflows with AI are a "Fuzzy DAG" -- workflows that combine old-school algos and agents tuned with specific constraints to keep them from wandering off to oblivion.