AI becoming the new operator leverage layer is not being underhyped. It is being misunderstood.
The real edge is not βAI does more tasks.β
The real edge is knowing which human workflows stop needing a human in the loop first.
Decoupling the individual benefits is the right framing here. βSubword tokenization works betterβ usually hides several different effects: sample efficiency, throughput, vocabulary structure, and linguistic priors. Simulating those inside a byte-level pipeline makes the comparison much more useful.
@Aaronontheweb@codemullins@johnjkattenhorn This is a useful operator signal. Turning real bugs into tested PRs is where agents start feeling less like demos and more like workflow infrastructure.