I’m old. 😉 I’ve been working in ai since a teen in the seventies – but like mos

I’m old. 😉 I’ve been working in ai since a teen in the seventies – but like most of my peers gave up when we understood it was just a hardware problem.
Instead I created a series of tech companies (100M range). And I built the first legal ai in the eighties which was so profitable we bought one carat diamonds in bulk to hide the money. And then I worked largely with dynamic state engines through the nineties. And worked with some msft/military people in 2006 when the research on gpus was just getting started. But it was too early and we couldn’t get funding.
My product (Oversing front end, and Runcible AI back end) have MM invested but we need another round to refactor and take and it to market.
The LLM revolution, brute forcing world modeling through language was simply something that none of us expected – though in retrospect given a sentence is a data structure, it should have been obvious. I think all of us thought as did Musk, that we needed world modeling first, before language. Turns out brute force works.
So less directly, what I have been working on for the past fifteen years or so is decidability which is precisely though indirectly what present generation LLMs are searching for. (Just ask them). I’m uninterested in the paper-game so The Institute focuses on theory and application of a system of measurement under universal commensurability sufficient for provision of decidability in matters of truth, morality, and law. Effectively unifying the sciences.
We are trying to get volume one ready for publication. But it’ll take us more than year to finish the rest of the volumes.
I’m known for my work in epistemology, law, and economics applied to sociology and politics, but in effect these are all derivations of the fundamental problem of decidability.
Cheers

Reply addressees: @hyperliberalism