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-fits-all lens, resulting...
AuthorJohn Deacon
An independent AI researcher and systems practitioner focused on semantic models of cognition and strategic logic. He developed the Core Alignment Model (CAM) and XEMATIX, a cognitive software framework designed to translate strategic reasoning into executable logic and structure. His work explores the intersection of language, design, and decision systems to support scalable alignment between human intent and digital execution.Read more at bio.johndeacon.co.za or join the email list in the menu to receive one exclusive article each week.
The Core Alignment Model: How Strategic Professionals Build Living Identity Systems
A systematic approach to externalizing your strategic logic into operational frameworks that scale influence while maintaining authentic alignment between purpose and execution.
The Unique Structure of CAM as a Model for Meta Programming
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 guides users through the...
Exploring Meta Concepts for High-Level Thinking and Structured Frameworks
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 structures that guide...
Understanding and Applying the Core Alignment Model (CAM)
The Core Alignment Model (CAM) is a unique meta programming model that acts as a structured framework for intentional thinking, decision-making, and purposeful action. CAM operates at a high cognitive level, guiding users to align their internal purpose (Mission) with their external actions (Tactics) through a sequence of interdependent layers. Here’s how CAM fits into...
Exploring the World’s Cash Supply and the Dominance of Digital Transactions
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 $8.27 trillion US dollars...
Markdown Converter — Effortlessly Transform AI Outputs into Formatted Text
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, or documents. Instead...
Markdown to HTML Converter in One Click from Clipboard to Clipboard
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 src=""></script> </head>...
The Gravitational Framework: How CAM Creates Self-Organizing Alignment Between Intent and Execution
The Conscious Awareness Model operates as a dynamic attractor, a gravitational center where user intent and AI capability naturally converge into coherent, purpose-driven interaction patterns.
The ChatGPT Paradox: Impressive Yet Incomplete — YouTube
“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 reasoning systems. He...