“Liquid Membraning”* is the deep enveloping that evanescently correlates datasets during the gloaming phase of a sort; stitching up cloud-points out of constellations of clues; out of a search to find the deep root cause of a challenge\/problem\/issue\/threat [ie. to go back to the deep root first principle]. This produces a key that when turned unlocks the entire problem. Computationally you could call it super-swarming. It has been suggested that creatives approach a task ‘more intuitively’, not analytically. I disagree; these skills could be characterized as hyperfast analytical tasking. Think of super-swarming as standing in a cloud. Where the cloud is a set of data points. Among these are the discrete clues that I notice. Among these are the patterns and there a route of questions to find, to follow, down to the root clue\/key that unlocks everything. Another way to look at this is to say I see all the trees in the forest, and then notice the clue paths and patterns that lead me back to the one different tree.<\/p>\n

* definition circa 25 Nov 2018<\/p>\n