If the “amount of semantic ablation” in a generated phrase/sentence/paragraph can be measured and compared, then a looped process (an agent) could be built that

If the “amount of semantic ablation” in a generated phrase/sentence/paragraph can be measured and compared, then a looped process (an agent) could be built that tries to decrease that.. It might come up with something original - I mean there has to be tons of interesting connections in the training data that no one’s seen before. But maybe it’d just end up shouting at you.