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In the Wikipedia page you linked, I immediately encounter several terms that I do not know the meaning of. I must either click through or search separately to fill in my own gaps.
Your criticism is not totally disagreeable, but we have to wonder where to draw the line. Is a "Hacker's Guide to Numerical Analysis" obligated to hold your hand all the way through basic notation? The notation that you mention in your comment are the "Hello world" of mathematics.
I'd ask you to consider whether it was a good use of your time to write this. It certainly was not a good use of my time to read it, but maybe this comment will make up for my mistake. I say this as someone who is sympathetic to the idea that many executives spend too much time huffing their own gases.
The captain should be the one to jump overboard in your story.
Will there be any sort of requirements to "demonstrate progress" to the funders (even if that means the results of a failed experiment or some sort of open lab notebook)?
Does all research need to terminate in a paper (as opposed to, say, tooling)?
In fact, how does accountability work in this system? Do researchers need to provide a provisional timeline? Research can fail or take unexpected turns away from the initial goal, and this may or may not make funders nervous. I guess this might be a way of asking: are participants funding people, or are they funding projects?
Will there be requirements to make all papers produced freely available? All source code? Is this at the researcher's discretion?
Suppose something profitable, or merely patentable, comes out of a Strato funded stint. Do the funders have any stake in such an outcome?
This sort of thing excites me, so I do hope you find some sort of success.
Supposing this platform is successful, is there an interest in expanding beyond machine learning? Why machine learning specifically? Is it what you know best, or is there some other reason to fovus specifically on ML?
Anyway, examples: Colin Percival runs Tarsnap by himself, and it turns a profit.
As another commenter mentioned, there are independent game developers who get to do technically interesting work (e.g. Marc Ten Bosch, who got a SIGGRAPH paper out along the way while making Miegakure, or Jonathan Blow, who is building a programming language [although his team grows and shrinks, so he must be acting in a management capacity, or at least like a film director]).
Sylph Bioscience is a lean team of three that seems to me to be doing very interesting work (and I don't think any of them have "traditional" educational backgrounds, though I might be wrong).
Matt Keeter works a day job and pumped out a SIGGRAPH paper largely for fun.
You can do consulting, freelance, contract work, etc. etc. until you land on what you want.
You can start some technical product with the aim to sell it in its entirety ASAP to some other entity (though of course the less work you put in on the "business-bits," the less you'll be selling that product for).
It's going to be harder to find these things or make them happen, and often they may not be very financially attractive compared to more standard paths (nor are they necessarily stable), but it seems that autonomy and creative control don't come for free in this life: you have to trade off money, time, stability, and status to do things in this manner.
The irony may have been intentional on the author's part, but I still won't read the essay. Bad juju.
Putting some links I looked at here to save someone a few seconds of Googling: https://en.wikipedia.org/wiki/Exponential_object https://ncatlab.org/nlab/show/exponential+object
Obviously we do not live in a bubblegum dream world and you may not always be able to follow your interests exactly, but I have to imagine that if you examine those things that "seemed more interesting," you may find a new career in there. And if you don't find a new career because those things don't make any money, then maybe don't beat yourself up too much for not wanting to become better at a job that only serves to fund your true interests.
Still: your family was already well near the 75th percentile nationally for the time. In what sense would that not be wealthy?