Pick apart is what they’re doing. The systems I’ve worked in immediately abstract strings, shapes in images, etc, into the mathematical shape and gaps between

Pick apart is what they’re doing. The systems I’ve worked in immediately abstract strings, shapes in images, etc, into the mathematical shape and gaps between edges. If you dig into an arbitrary array in a variety of places, the fields contains coordinates, not “Hi Mom, kids are ok, blah blah”. It’s measuring the white space in a thing, where everything but the feature you’re currently interested in is white space; what’s between the features I want? Then comparing that to results of other data structures that had the same white space measuring applied. Does it not do what you said you do you not want to believe it? I think the issue is the companies being incredibly disingenuous about how this all works. At the root is elementary information theory: https://www.amazon.com/dp/0486240614 https://www.amazon.com/dp/0486240614 Formal language is 5,000 years old. Human intuition for quantitative assessment of hunger, warmth, supply stocks, tool building, etc is much older. IMO human language is noise obscuring obviousness. It’s the desktop metaphor of cognition. “Please internalize my language versus observe for yourself.”