John Deacon

Cognitive Systems. Structured Insight. Aligned Futures.

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Predictions for AI Literacy, Interaction Skills, and Cultural Impact

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Down­load this Arti­cle Short-Term Predictions (1–3 Years) Wide­spread AI Lit­er­a­cy Ini­tia­tives: Gov­ern­ments, edu­ca­tion­al insti­tu­tions, and com­pa­nies will roll out basic AI lit­er­a­cy pro­grams tar­get­ing under­served pop­u­la­tions. AI Tools Become Ubiq­ui­tous: LLMs will inte­grate into every­day plat­forms like search engines, work­place soft­ware, and per­son­al assis­tants...

Exploring SEC Commissioner Hester Peirce’s Proposal and How KIN Could Be the Perfect Fit for Regulatory Clarity

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Down­load this Arti­cle In a recent move that has the cryp­tocur­ren­cy world buzzing, SEC Com­mis­sion­er Hes­ter Peirce put forth a for­ward-think­ing pro­pos­al advo­cat­ing a path­way for token projects to tran­si­tion from secu­ri­ties to non-secu­ri­ties sta­tus. This pro­pos­al is a response to the exist­ing reg­u­la­to­ry land­scape, which often views token offer­ings through a one-size...

The Unique Structure of CAM as a Model for Meta Programming

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Down­load this Arti­cle CAM is a unique mod­el for Meta Pro­gram­ming, par­tic­u­lar­ly because it inte­grates ele­ments of metacog­ni­tion, cyber­net­ic prin­ci­ples, and a struc­tured align­ment across dif­fer­ent lay­ers of cog­ni­tion and action (Mis­sion, Vision, Strat­e­gy, Tac­tics). This dis­tinct struc­ture makes CAM more than just a high-lev­el con­cep­tu­al frame­work; it active­ly...

Exploring Meta Concepts for High-Level Thinking and Structured Frameworks

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Down­load this Arti­cle Here’s a brief overview of each con­cept with­in the con­text of high-lev­el think­ing and struc­tured frame­works like the Core Align­ment Mod­el (CAM): Meta Pro­gram­ming: Meta pro­gram­ming involves cre­at­ing “pro­grams” or struc­tures that define and shape oth­er pro­grams or ways of think­ing. It oper­ates at a high lev­el, set­ting the foun­da­tion­al “rules” or...

Exploring the World’s Cash Supply and the Dominance of Digital Transactions

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Down­load this Arti­cle The world’s cash sup­ply, or mon­ey sup­ply, can be mea­sured in var­i­ous ways depend­ing on what type of mon­ey is includ­ed in the mea­sure­ment. Here’s a break­down based on recent data: M0 (Nar­row Mon­ey): This includes phys­i­cal cur­ren­cy (coins and ban­knotes) in cir­cu­la­tion. Accord­ing to recent data, the M0 sup­ply glob­al­ly was esti­mat­ed to be about $8...

Markdown Converter — Effortlessly Transform AI Outputs into Formatted Text

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Down­load this Arti­cle If you’ve ever worked with AI writ­ing assis­tants like Chat­G­PT, Grok, or sim­i­lar plat­forms, you know the rou­tine: you ask a ques­tion or prompt, and the response often comes in a neat Mark­down for­mat. Mark­down is great for struc­tur­ing con­tent, but it’s not ide­al when you need ful­ly for­mat­ted text or HTML ready for direct use in pre­sen­ta­tions, web­sites...

Markdown to HTML Converter in One Click from Clipboard to Clipboard

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Down­load this Arti­cle Click­ing on the Mark­down box pastes text from the clip­board, auto­mat­i­cal­ly con­verts it to HTML, and copies the result­ing HTML back to the clip­board. Head Section <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Markdown to HTML Converter</title> <script...

The ChatGPT Paradox: Impressive Yet Incomplete — YouTube

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Down­load this Arti­cle “Prof. Thomas G. Diet­terich dis­cuss­es the cur­rent state of large lan­guage mod­els like Chat­G­PT. He explains their capa­bil­i­ties and lim­i­ta­tions, empha­siz­ing their sta­tis­ti­cal nature and ten­den­cy to hal­lu­ci­nate. Diet­terich explores the chal­lenges in uncer­tain­ty quan­tifi­ca­tion for these mod­els and pro­pos­es inte­grat­ing them with for­mal...

John Deacon Cognitive Systems. Structured Insight. Aligned Futures.

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