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Talk:White paper on Quasi Artifactual Intelligence

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Revision as of 23:32, 9 July 2023 by Don (talk | contribs) (Created page with "<div style="background:azure; border:1px outset azure; margin:1em 2em; padding:0 1em; width:888px;"> The text appears to be an abstract for a technical paper on applying category theory in the context of machine learning and control, more specifically in relation to the development of an AI perception envelope. The language used is quite complex and requires a reasonable understanding of the subject matter to grasp the full meaning. Here are the potential issues and clar...")
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The text appears to be an abstract for a technical paper on applying category theory in the context of machine learning and control, more specifically in relation to the development of an AI perception envelope. The language used is quite complex and requires a reasonable understanding of the subject matter to grasp the full meaning. Here are the potential issues and clarifications:

Use of technical jargon: The text uses quite a few specialized terms and jargon. Terms like "QAT," "perceptor," "perceptive envelope," "dual channels of measurement," "artifactual intelligence," and "diffraction grating" are not explained and could potentially cause confusion. If you're writing for an audience familiar with these terms, this might not be an issue. However, if the audience might not have the requisite knowledge, it would be best to clarify these terms or provide a brief explanation for each.

Ambiguous semantics: The sentence "The simultaneity is registered not at a process thread in an algorithmic moment, but as registered as simultaneous within the entire set of dual measurements" could benefit from some rewording for clarity. I'm not exactly sure what is meant by an "algorithmic moment," and the use of "simultaneous" and "simultaneity" in the same sentence creates a tautology that doesn't add clarity.

Sentence structure: Some sentences are quite long and complex, making them harder to parse. Breaking them down into simpler sentences might help with readability and comprehension.

Lack of context: If "911 Era" refers to a specific method or period in the field of category theory, that isn't clear from the text. Providing some background or additional context could be helpful.

Proper Citation: The term "[I-RIB]: In-memory Referential Information Base" is attributed to P. S. Prueitt. If this is a key term, the author may want to cite the original work where it was defined.

Diagram or Illustrations: Given the complexity of the topic and the abstract nature of the described methodology, including some diagrams or illustrations could be beneficial for visual learners and could help to clarify some of the concepts.

Overall, while the text shows a deep understanding of a complex subject matter, it could benefit from more clarity and a simplification of some of the complex sentences. It's also important to ensure that all specialized terms are clearly explained or defined.