IMPORTANT FOR FELLOW AI THINKERS (great find) 0) I would need to understand the

IMPORTANT FOR FELLOW AI THINKERS

(great find)

0) I would need to understand the operational descriptions of the eleven dimensions, or whether through modeling they have discovered that intelligence requires at least 11 dimensions (which is creepy a bit because this is the same problem with string theory). I will work my way through their publications and see if I can contact anyone there for feedback.

1) um. Their technique is ‘the proper’ way of describing ‘pure relations’ as geometry (similar to E8 for example), and this is the only way I have discovered of constructing AI’s:through intermediary phenomenon in topological spaces. (what we call lie groups in mathematics). Or what this article refers to geometry and holes.

2) In the mid 2000s I was working with a few people (from the B2 bomber software team, and microsoft developer and tools) on the use of topology (euclidian spaces), to create software that would spawn processes (agents) that would search topologies (relations in algebraic geometry) of different manifold (topical stores) to produce artificial intelligence, (defeating google)

I was not in the health, financial, or mental condition to launch that huge an effort. It would have been too expensive. But the theory, must in fact, work. And it is, as far as I know, the solution to the problem.

3) This work was helpful in my development of Acquisitionism (and later all of Propertarianism and Testimonialism, because to make comparisons possible across all the various topologies one needed a semantic system to provide consistent categories of measure. That system is “PROPERTY”.

4) This is why I am not afraid of AI’s. We can create ‘consciences’ for AI’s just as easily as we do in humans, and it is the MARKET FOR SOLUTIONS that serve both the desire (acquisition) and the conscience (non-aggression) that allow us to produce non-dangerous artificial intelligences.

Curt Doolittle

The Propertarian Institute

Kiev, Ukraine


Source date (UTC): 2017-06-12 17:57:00 UTC

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