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  • Canary in the Coal Mine

    Canary in the Coal Mine
    2025/12/28
    Greg Twemlow argues that the dominance of major retail aggregators like Amazon is being threatened by the rise of AI buying agents. These autonomous bots allow consumers to engage in "headless" commerce, bypassing traditional digital storefronts to purchase goods directly from manufacturer databases. While this shift eliminates the "middleman tax" and restores brand sovereignty, it removes the trust layer and logistical efficiency provided by large platforms. The author suggests that smart contracts will likely replace traditional consumer protections, though the push for direct-to-consumer shipping may lead to increased environmental costs. Ultimately, the friction of manual checkout is the only remaining barrier protecting current e-commerce giants from total algorithmic disintermediation. Read the article.

    About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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    13 分
  • AI Cognition Ignition — Starting With Teacher Professional Development

    AI Cognition Ignition — Starting With Teacher Professional Development
    2025/12/26
    B137 is a specialized educational protocol designed to prioritise human discernment and logical reasoning in an era of rapid artificial intelligence. The program begins as a ninety-minute professional development session for teachers, who then transfer these critical thinking techniques directly to their students across various academic subjects. By employing the Context & Critique Rule™, the method intentionally slows down the interaction with technology to ensure that individuals remain the true authors of their work. Rather than focusing on technical software skills, this approach fosters defensible logic and academic integrity by making the thinking process visible and assessable. Ultimately, the framework serves as a subject-agnostic tool that allows schools to integrate AI safely while maintaining a strict focus on high-quality cognitive development. Read the article.

    About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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    13 分
  • How to Retain Authorship

    How to Retain Authorship
    2025/12/21
    In this collection of essays, Greg Twemlow explores the necessity of maintaining human authorship and personal agency as artificial intelligence becomes deeply integrated into society. He argues that users must resist the machine’s rapid pace to protect the authentic tempo of human consciousness through deliberate reflection. Central to his philosophy is the Context & Critique Rule™, a framework designed to transform individuals from passive recipients of AI output into critical architects of meaning. By analysing his own digital archive, Twemlow demonstrates how AI can serve as a mirror, exposing gaps between one's stated values and lived reality. Ultimately, the work serves as a moral charter for the digital age, urging people to use discernment and vulnerability to remain the true authors of their own lives. Read the article.

    About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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    11 分
  • Covenants of a Gathered Life

    Covenants of a Gathered Life
    2025/12/18
    The provided text is an excerpt from a Medium article by Greg Twemlow titled "Covenants of a Gathered Life," which is Part 3 of his series on "A Gathered Life." Twemlow discusses his "Breadcrumbs project," an archival method where he collects decades of digital artefacts to resist the fragmentation of the self caused by modern life. He explains that by arranging these artefacts without premature analysis, visible, recurring evidence emerges, transitioning the project from passive reflection to an active responsibility for authorship. This process led him to identify his core contribution—building scaffolds and protocols to protect human cognition and maintain accountable choice—which he formalises as the three-step arc: Evidence, Cognition, Discernment. Twemlow emphasises that while he used AI as an interrogator to accelerate pattern recognition, the final act of judgment and meaning-making remained human. Ultimately, the project served not as a nostalgic look at the past but as a structural means to frame and inform future action and stewardship. Read the article.

    About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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    12 分
  • A Practical Pathway to AI Leadership

    A Practical Pathway to AI Leadership
    2025/12/18
    The provided text, an article by Greg Twemlow, focuses on shifting the human-AI interaction from mere prompting to a deeper, more reflective partnership. The author argues that the main obstacle to meaningful AI use is the tendency for humans to rush their thinking, operating at a machine-like tempo rather than a natural, reflective pace. To achieve what he terms "Deep Human+AI Collaboration™" and "Human+AI Deep Cognitive Partnership™," individuals must slow down and engage in a recursive cycle—context, articulation, critique, reflection, iteration—which he identifies as the "mechanism of emergent insight." This process ensures that the human provides the necessary meaning and judgment (upstream), allowing the AI to amplify and extend the reasoning (downstream) rather than just generating superficial answers. Ultimately, the source posits that genuine cognitive leverage and high-value use cases emerge not from speed, but from the human capacity to pause and gain clarity. Read the article.

    About the Author - Greg Twemlow writes and teaches at the intersection of technology, education, and human judgment. He works with educators and businesses to make AI explainable and assessable in classrooms and boardrooms — to ensure AI users show their process and own their decisions. His cognition protocol, the Context & Critique Rule™, is built on a three-step process: Evidence → Cognition → Discernment — a bridge from what’s scattered to what’s chosen. Context & Critique → Accountable AI™. © 2025 Greg Twemlow. “Context & Critique → Accountable AI” and “Context & Critique Rule” are unregistered trademarks (™).
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    12 分
  • How I Assembled the Portrait of Me

    How I Assembled the Portrait of Me
    2025/12/17
    The source is an excerpt from a multi-part article by Greg Twemlow titled "How I Assembled the Portrait of Me," where he describes a process of self-examination that prioritises digital evidence over personal memory. Twemlow argues that a life's true shape is revealed not through recollection, which is often selective and interpretive, but through a cumulative archive of digital "breadcrumbs," such as articles, projects, and correspondence. This method, which leverages artificial intelligence for clustering and analysis at scale, applies his "Context & Critique Rule" to ensure that discernment and meaning only emerge after all available evidence has been objectively assembled. The core revelation is that the evidence, when viewed together, exposes consistent patterns and commitments—such as advocating for individual agency and resisting systems that flatten potential—that were largely invisible when the life was lived and recalled sequentially. Ultimately, the project moves beyond a personal exercise to become a framework for creating a legible, accountable record of one's identity that is anchored in repeated action, not subjective narration. Read the article.
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    29 分
  • Designing the Lost Apprenticeship of Adulthood

    Designing the Lost Apprenticeship of Adulthood
    2025/12/13
    The provided text, an excerpt from Greg Twemlow’s thesis "Designing the Lost Apprenticeship of Adulthood," articulates the contemporary collapse of a "synchronised" pathway into maturity, arguing that this developmental structure, which provided clear milestones and societal rhythms in the past, no longer exists. Twemlow posits that this loss of scaffolding has caused a generational "drift" among young people (Gen Z and Gen Alpha), who are moving from a highly structured childhood into a chaotic, asynchronous adult world, often mediated by AI. To counter this, the author proposes a "Sovereignty Studio" metaphor—a new, deliberate, and co-designed developmental architecture built on five key principles, including Reflection, Orientation, Friction, Mentorship, and Threshold Sequences. The core argument is that adulthood is not a natural event but an induction, and that elders must now consciously build this "lost apprenticeship" alongside the young to ensure future generations achieve "co-agency"—mastery of the self in the presence of intelligent systems—rather than just following them. Read the article.
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    37 分
  • Don’t Write Code, Describe Functionality

    Don’t Write Code, Describe Functionality
    2025/12/12
    The source is a detailed article written by Greg Twemlow, detailing his experience building a minimal, reusable text snippet application called TexoLab by leveraging artificial intelligence tools. He explains that, despite a previous inability to embrace traditional coding, he successfully created this application by focusing solely on describing the desired behaviour and functionality of the tool in plain language. The core of his collaborative process involved ChatGPT generating the complete code files (HTML, CSS, JavaScript) from these descriptions, and the code editor Cursor serving as the workspace for testing and running the single-file application. Twemlow emphasises the KISS (Keep It Simple, Stupid) principle, resulting in a locally-owned tool that requires no installation or login, while also advocating that this "describe, don't code" methodology makes software creation accessible to non-developers who possess strong behaviour design skills. Read the article.
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    14 分