Naming AI models is surprisingly hard

Naming model versions is hard because, unlike normal software with clean version numbers, models have different trade-offs (speed, cost, size) and improvements in pre-training arrive at unpredictable times, so any naming scheme tends to break down — a problem all the companies struggle with.