The immediate benefit is that "what commit produced my last good result" is a local problem, so a local solution is faster and more convenient than a round-trip to an API.

But more broadly, storing data locally makes it easy for others to build tools on top of the data. E.g. a visualisation tool that plots hyperparameters vs metrics, by parsing the metadata from `logis` commits.

Also scientists often don't commit regularly, so there is an opportunity to hijack the commit log for their benefit. Every cycle of edit->run-experiment is an iteration of the scientific method, and capturing that automatically is arguably more valuable than sporadic commits with "stuff" as the message.