It’s been a few weeks since I’ve shared any new software, which for me, is a long time, and though the disruption of the coronavirus obviously had some hand in it, the real cause is that I’ve been working on thermodynamics, coming up with new ideas and writing software that extends the algorithms and ideas that I introduced in a previous note. Specifically, I’ve actually implemented the idea of making use of compressed representations of physical systems, and have managed to reduced complex sets of observations to linear Euclidean embeddings, which allows my core machine learning algorithms to be applied.

In summary, these algorithms takes tens of millions of observations, and reduce them to reasonably short sequences of real numbers, that can then be classified using my core A.I. algorithms, which are of course radically efficient. This in turn allows for the radically efficient analysis of thermodynamic systems, and other comparably complex systems, perhaps biological systems, or actual economies (as opposed to just a single asset price).

I’m very excited about this work, so I’m going to spend a few more days ensuring that I’ve optimized the algorithms, and written an article that is deserving of the quality of work that I’ve done on the matter.