Short answer: I do find some work by others intriguing and very likely ‘true’ and useful for the purposes they target.
A famous saying is that all models are right but only some are useful.
I would not attempt to argue against anyone who has gone before. But they come at a subtle problem space with limited logical tools. I have abstraction tools that they did not, so though I might be less bright, and go less deep, I expect to be able to contribute something new. With care, the insights here will also be true and useful; in fact the goal of the effort is to be useful in a different way, a way that matters to me and our projects and that no one else seems to have achieved.
There are two ways to do mathematics. The usual approach is to place one’s self in the midst of work by others, on whatever concept tendrils and tradition that suits, and then work on some problem that fills in the gaps in knowledge. These gaps can be large or small, difficult or not. If you are working this way, a goal is to be elegant, ideally creating a new set of tools for the next investigator. Utility in this approach is an internal property; if you can advance the work in such a way that the work can be advanced further, you have done well. These ‘pure mathematicians’ are pleased when their work finds application in the real world, but if it never does, it is no bother.
Then you have the ‘applied mathematicians.’ If the world (of useful souls) can be divided into scientists and engineers, these are the engineers. They will be given a problem in the ‘real world,’ and reach into the vast toolbox of mathematics for ways to approach it. This can also support a noble and beautiful life.
Some Personal Advice
A mentor, a mathematician, advised me early in my life that there were no (real world) problems that could not be usefully addressed in this way. It was simply a matter of finding the right abstractions. Now as it happens, this man was a rare synthesis of the two approaches, and has since been my model. He is known for his work in elementary particle physics, for which he won a Nobel. But in actual practice, he was the best kind of abstract architect: simultaneously looking for ways to abstract the observed world while developing new mathematical tools to match those abstractions — at the same time questioning the nature of mathematics and its place.
Einstein is often cited as the ideal genius, but in fact his most celebrated work is a bit clumsy in this regard. He had some great intuitions about how to abstract the problems of (general) relativity. But it took him years before he stumbled upon the already mature mechanisms of tensor calculus from which he could build the theory.
The ideals of the synthesized method are what I modestly attempt, the method of informed examination at the same time formal tools are invented with some human purpose in mind.
The plain fact is that no one, no one, has a satisfactory theory of cognition, or narrative, or agent systems (in the AI sense), or even how information works in our world. There are many brilliant perspectives on this, including some that are in use and producing partial results. They may evolve to fully address the hard stuff…
but come on, you can’t take the same people in the same institutions, using the same tools and expect to get revolutionary results. You need something wholly different — in many ways as independent as possible. That is what we attempt here, to work from ‘first principles’ in logic with some brand new tools, and observe directly in film what works and attempt to model why.
So we deliberately avoid the major voices in film.
To paraphrase a fictional NASA quote: Failure is an option. I readily enter into this prepared to fail. If I do, it will be a spectacular failure and likely every bit as interesting as a success, in part because I cannot blame the inadequacies of others.