I urge the people working on this to recognize that we all don't think the same. (I know, you don't claim that we do, but I don't see these counter points expressed often).

I can't explain how I think, but it isn't visual, and doesn't seem to involve language much. Probably the closest is to say I think in math and geometry. That doesn't make any descriptive sense, but it is what I experience.

I fell deeply in love with math, and then programming. A few words and control structures, and you have Turing completeness! It's as beautiful as language. Minimizing expression is sometimes far more powerful than unconstrained expression. I can hold these structures in my head, and so can most programmers that I know. Pictures are a pale, weak thing in comparison. "The Illustrated Guide to Kant's Critique of Pure Reason" has never been published (SFAIK), and for good reason. The simplest rules of grammar allows us to generate and express extremely complicated and nuanced ideas. Ya, sure, we could make a nice chart of synthetic/analytic and a priori/posterior, and I think Kant did that, but beyond that what do pictures get you? I bet there are visual thinkers reading this that have rebuttals or examples, and that is great. Einstein was a great admirer of Kant, and was a visual thinker, so I imagine him raising objections! But I think in the end the visualizations may have illustrate power, but rarely investigative power. Einstein put the lie to that with his work in Relativity, but he was an extraordinarily unique thinker (he did his work visually, and then struggled to get the math to prove his ideas).

Anyway, my somewhat inarticulate argument is that programming languages was the great invention. Anything that is Turing complete lets us express anything computable.

I think if you can find ways to complement that it will be a great contribution to knowledge. But I don't think you can replace or improve upon a Turing complete language (unsupported assertion requires citation here!). It would be great to be proven wrong.

I use computer languages to do math, computer vision, and AI type stuff. Others uses it for different things. It all works. There is no universal visual paradigm to replace it. Engineering is optimization in multi-dimensions. Visualization limits us to 2 or imperfectly, 3 dimensions. So you can sort of slice out representations of this large, multidimensional space, but you are now working like the blind men on the elephant. You'll never get the complete 'picture'. You are just sort of poking at it with a stick. Whereas with a couple of equations I can describe the entire space AND now have powerful tools to explore that space, describe it, and determine its properties. I think back to one of Bret's videos where he uses a live environment to compute the trajectory for a character in a video game. In math that is known as the 'shooting method'. It kind of works, for some problems. There is also a universe of problems for which it doesn't work. How can you even tell if it works or not visually? The language of math gives us that tool.

I love pictures, and produce charts all the time for my math code. But they do not replace the math, they illustrate it. I do my work in math, and in state, and in sw architecture, and sometimes use visual tools to help check the work. There is no language of visualizations, and without one you will either be illustrating the work of math and computer languages (which is not a bad thing, I'll happily use the tools when appropriate) or severely limiting what we can do. I don't work or think in 2D or 3D space and cannot be limited to such a restricted view (pun intended). I work in small spaces usually (R^18 or so) and visualization is a non-starter except as a great way to learn some of the concepts. I know plenty of you work in far larger spaces.

tl;dr: the amazing advance was Turing complete languages; visualizations are not Turing complete; languages are powerful, visualizations do not have a language and hence aren't analyzable unless your name is Einstein.