When relying on --drop-densest-as-needed or similar to thin down huge data sets, Tippecanoe can run out of memory because it still tries to create the complete tile in memory before dropping any features from it. It should stop earlier, once the tile size reaches a point where it can't possibly work, even though it will take more tries this way to converge to the correct drop rate.

cc @malwoodsantoro