Small models are brutally honest teachers.

A big model can make a sloppy process look smarter than it is. A small one cannot.

When capacity is limited, bad data, bad schedules, weak evaluation, and wishful thinking show up immediately. That is annoying. It is also useful.

I keep wanting to make GregRietta bigger. The better question is whether I have made the process boring enough to deserve bigger.