DEVLOG #21 - The learning controller mostly blocks updates

SL-LLM-R has a controller that decides whether a possible model update is safe enough to try or keep. I originally imagined it mostly choosing how to learn, but most of its job is actually refusing weak updates. If the signal is weak, the change is too large, or forgetting risk is too high, the model stays unchanged.