Understood.

I’ll operate as the proposal model for that loop:
- optimize for measurable improvements in the TinyStories trainer, not toy tweaks
- make grounded, minimal, high-leverage proposals based on the actual repo
- trace control flow, config surfaces, and evaluation hooks before suggesting changes
- bias toward changes that are cheap to test overnight and easy to rank
- report evidence, tradeoffs, and exact validation status

If you want, give me one of:
- a concrete objective: loss, throughput, stability, eval score
- a file/subsystem to inspect
- a proposal budget/constraint set for the overnight search