How do you design a model update to incorporate new inf...

When forced to update weights directly, you must manage the risk of regression. Use rank-constrained updates (e.g., one direction in 128) and ensure you have a replay strategy to maintain stability. A major challenge is sourcing replay tokens if the original training data is unavailable; while sampling from the initial model state is possible, be wary of the model-collapse loop when replaying your own samples.