What allows for probabilities to be calculated at all? What is being tested? What is being measured? Putting numbers to something is not difficult. With the right mindset, anything can have a number tag and be compared in some linear fashion, so the mathematics of “likelihood” is nothing special, although given the fascination with “game-of-chance” from which probability arises and never left (the Fates) one might think it underlies the Universe itself. But does it? What’s being measured? Is it likelihood? I don’t think it is. What’s being measured is entirely human and in the realm of rhetoric, akin to court proceedings. Probability is a measure of convinceability. Can I convince another human?

What allows for probabilities [read full article]


Thinking about how much I like the aesthetics of thin lines on a computer, watching likes pile up for a thing in BASIC I set to lo-fi hip hop on Twitter that generated random 3D wavy graphs just by lines following rules, I wondered if DOT graph description language, which can easily make both directed acyclic graphs and also undirected graphs, could be utilized by Processing 3.x to animate pretty things… which led me to wonder if Mathematical Morphology, which is used heavily in interpreting 3D volume slices from medical imaging but works in terms of “shaped pixels” has ever tried tackling Vectors instead? What I love about the internet is the access to so many published brain outputs and that if I have a concept in mind, there’s most likely SOMEBODY out there who did something similar or matching. Bingo – found it. Googling mathematical morphology vectors and I found: (2011) Vector-based Mathematical Morphology Huayi Wu, Wenxiu Gao State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, 430079, China EXACTLY what I was wanting to find. You have to know what you’re looking for if you want to find it if it exists. Since Mathematical Morphology works through multiple layers and then individual layers, could it work on an individual layer first, which is what you’d do in the case of a vector? I’m going to find out. http://www.geocomputation.org/2011/papers/wu.pdf

Thinking about how much
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I don’t know how it would work mathematically. But I consider imaginary time as time operating in distinct pockets, similar to a subroutine on a parallel processor that can spit out results seemingly instantaneously to the host program but only because it’s “black boxed” and otherwise disconnected to the main flow of time except for simultaneously input/output connection.

I don’t know how [read full article]


Beautiful. I enjoy comparing models as I know from a very broad view, they all seek similar outcomes. But what’s in the black boxes? That’s where it gets to be fun. What works? What doesn’t? I don’t know. But I love watching them try, particularly at levels of detail and expertise that I could not do. Not enough lifetimes to acquire all of this knowledge myself in full form. But reading THE BOOK that sums up a life’s work, I get their best-of-the-best, the result of what was probably an adolescent notion, honed through decades, perfected and presented to the world for consumption, and consume I do.

Beautiful. I enjoy comparing
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Book I’m reading (by an engineering professor) is covering adibiotic computing as a model for simplified human brain function. I’m enjoying it already and know it will touch upon low/no power quantum computing. But what’s interesting is that you can use adibiotic circuits in standard computers — and in fact, we already do, which is why we have such a proliferation of low-energy computers that can do quite powerful work. Efficient, low-heat, quite parallel

Book I’m reading (by
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