Science of technology

TL;DR --  We will be more technical and explicit about such in 2025. Our slogan: Unsafe at any locale or use. What? Yes, AI. 

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Note: this is cursory and will be edited over the next few days.

As 2024 winds down, we are closing out some activity while preparing to continue our work in 2025 and beyond. We have several irons in the fire and stop to look at two in this post. 

• The 250th is closer but has been approaching with notable reflections for a while. Lexington/Concord will come into view in April of 2025. At some point, Bunker Hill will be the focus. We have been researching an area of Los Angeles, CA that was named Bunker Hill West. 
• Gibbs of New England was a serious thermodynamics researcher. He worked with Maxwell. Our emphasis, in part, is technology. So, let's look at science's role. 

.Gibbs and Maxwell  

Maxwell's 3D model (scuplted by hand) of Gibbs' thermodynamics equations in action. ... 

As many have said, AI is not safe. We can think back to the time of Nader and his look at the Corvair. That was a case of design trumping engineering. We have seen that over the decades of progress. The past two decades of computing (as driven by the west coast) can be seen in this light. 

Gibbs and Maxwell were way before computing came on the seen so their work is of interest to an approsch that looks at human abilities. This is to lay out some basis to establish a means of comparison. 

Oh yes, statistical mayhem? That is part of the problem. 

Also pedagogy will get a look or two. Education seems to forget that science is provisional. Gibbs is a perfect example as he laboriously wrote 600+ pages of calculations which were related to numeric review of ideas that were about measurable processes and results. As opposed to? Russell and Whitehead's long and drawn out look at logic which they stopped. 

Basically, if we looked at the guts ot AI, we would see millions and upon millions of lines of code. Perhaps, we ought to use billions (there isn't an exasy way to establish this - but, it will be important in the future with the obvious waste of the AI approach of untethered machine learning. 

Back to human learning which is culture. Look at the photo from a 1946 cover of a Fortune magazine issue: Maxwell and Gibbs.  

Remarks: Modified: 12/14/2024

12/14/2024 --