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Can LLM’s Benefit From “Proprietary” Training

When composing a prompt for an LLM, it is possible to specify, “in the style of,” both for images and for prose. When training an Ai/LLM can we develop a proprietary quality improvement, by specifying a particular Dictionary (some specific printing of Webster’s or the OED) to include the carefulness of defining language and the creativity and variety [aka “diversity”] of the example usage sentences ? For another application of the same idea, what is the result of including Cicero, Caesar, Montesquieu, Machiavelli and Tocqueville in specific translations and printings? Expanding on this concept, Jonathan Swift, Daniel Defoe, R. L. Stevenson, Earnest Hemingway and Mark Twain would each offer a unique characteristic. Do we improve or adulterate, when we “build on that success,” by including more gross content, or cross sections for variety?
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Do Dictionary Specifications Give Us Insight Into Training Neural Nets?

When we purchase a Dictionary, we can specify “complete,” v “exhaustive.” Exhaustive specifies that every word in every definition is redundantly defined within the same catalog. 100 % Redundant is another metric. Does this give use insight into training Neural Nets?
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Can Directed Search Be Trained To Compare And Contrast?

I asserted that agnostic layer may improve directed search. I might have been more correct to say that Brin and Page brought us “search,” rather than to say Brin and Page  brought us “directed search.” The idea of comparing and contrasting opposing ideas rather than enhancing specialization seems to rest on the axiomatic concept of “Not.” It might difficult to assign a definition or an idea a truth value. However, an LLM suggests a dictionary, and a dictionary suggests antonyms as well as synonyms. For this reason, I want to suggest using a thesaurus or a dictionary to give weighted associations to antonyms.
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Is Paradox NP-Complete?

 The notorious reputation of NP Completeness promises to resolve decidabilities for specific cases.  With the word/expression “NP IN-complete,” as a clue, we can ask if it is worth considering a connection to the more famous incompleteness observation, Goedel’s Incompleteness Theorem. My preferred enumeration is “No finite set can contain all its own axioms.” To mitigate potential ridicule and cover my anatomy, this is a student type research blog, not a publication.
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Agnostic Layer

When Brin and Page brought us “directed search,” I fought for “agnostic search,” as a vocabulary term and a choice. I found Google to be receptive and responsive as a corporation, and Chloe Condon brought us the concept of agnostic layer. I wholeheartedly believe that agnostic layer will improve directed search. With any luck, it can also introduce opposing views alongside agreeing views that are more specialized, or enthusiastic. This article is for attribution, and to thank Chloe Condon for agnostic layer. I’m holding out for DuckDuckGo, Dogpile, and agnostic search as a choice.
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Protocol For The Distribution Of A Digtal Pinup

An NFT is a way to distribute a single redistributable digital image as a logo.  To implement a pinup or a calendar, it is possible to distribute a tarball of encrypted zips. A zip file can contain any multimedia data package. The procedure would be to release one password a month upon receipt of cash. The obvious defeat is for bootleggers to organize to distribute the password once it is released. For this reason, this solution is useful only for limited runs. However, if the payoff for redistributing the password is limited, then bootleggers will not be motivated to do it.
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Is A “Black Box” A Candidate For Axiom As A Concept In Algorithms?

A black box and a function might have very little difference between them. What might make the term “black box” definitive? As formative thinking, a black box is characterized by accomplishing its operation without affecting ANYTHING outside its internal mechanisms; perhaps this includes the idea that it cannot be observed. A “function,” is defined as “a reusable block of code that a specific task. It accepts input, processes it and “returns” a result.” My first thought on this, is that functions can return intermediate values, and black boxes might be barred from iteration or recursion by definition.
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