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  • A Spanish Poet and His Donkey Changed My Life

    A Spanish Poet and His Donkey Changed My Life
    2026/01/30
    Greg Twemlow explores the profound emotional depth of the prose-poem Platero and I, which depicts the quiet bond between a Spanish poet and his donkey. The author argues that this relationship illustrates a love based on attention and fidelity rather than possession or control. By following an arc from tenderness to death, the narrative reveals how sustained companionship creates a lasting ethical commitment to another living being. Twemlow draws a striking parallel between this century-old literature and John Lennon’s final song, "Now & Then," noting their shared resonance in addressing loss. Ultimately, the text invites readers to embrace a slower, more reverent way of seeing the world and those they love. Both works suggest that while life ends, a devoted connection simply changes address rather than fading away. 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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    14 分
  • When AI Systems Work Too Well

    When AI Systems Work Too Well
    2026/01/27
    Greg Twemlow argues that the effortless performance of modern AI can lead to competent drift, where users stop questioning the reasoning behind automated outputs. This reliance on configured capability over personal judgment creates a vacuum of responsibility, making it difficult for organisations to justify or explain their decisions. To counter this, the author introduces the Fusion Bridge governance architecture, which mandates a deliberate pause for context and critique before any task is executed. By using a Meta System Instruction, humans are forced to define their intent and assumptions, ensuring that technology remains an extension of human authorship rather than a replacement for it. Ultimately, the source suggests that true accountable AI requires structurally protecting the moment of discernment to prevent momentum from overriding critical thinking. 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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    15 分
  • Infrastructure Physics Will Crush OpenAI

    Infrastructure Physics Will Crush OpenAI
    2026/01/26
    This text argues that OpenAI is facing a terminal crisis due to unsustainable energy costs and the lack of a deep digital ecosystem. The author suggests that while ChatGPT acted as a pioneer, it is now being outpaced by Google’s integrated AI, which functions as an ambient utility rather than a standalone destination. As competitors like Apple and Anthropic gain strategic advantages, OpenAI risks becoming a "stranded asset" trapped in a financial chasm. Ultimately, the source predicts a 2026 "Great AI Correction" where the United States government may be forced to nationalise OpenAI to prevent a systemic economic collapse. This potential State Capture would transform the company into a public utility to secure American technological supremacy. 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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    17 分
  • The End of Applications

    The End of Applications
    2026/01/23
    Greg Twemlow argues that we are entering a Third Regime of Human Cognition where artificial intelligence replaces traditional software applications as the primary interface for computation. Historically, users had to contort their thinking to fit the rigid workflows of software, but this new era allows human intent to drive the system directly. As AI functions as an operating system, applications evolve into temporary, modular tools rather than fixed destinations. This shift moves the burden of interpretation and responsibility away from software designers and back onto the individual. Consequently, the role of the Discerner Architect becomes essential, requiring humans to provide the clarity and judgment that automated systems cannot generate themselves. Ultimately, the text suggests that while AI liberates creativity from technical constraints, it demands a higher level of human accountability for the outcomes produced. 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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    15 分
  • Value Has Moved Up the Abstraction Stack

    Value Has Moved Up the Abstraction Stack
    2026/01/17
    In an era where artificial intelligence makes execution cheap and abundant, human value is relocating to higher levels of the abstraction stack. This transition marks a fundamental repricing of cognition, where the ability to produce work is less valuable than the judgment and intent required to direct it. As traditional learning through repetition collapses, the text introduces the Discerner Architect as a vital role for overseeing the ethical and strategic consequences of automated outputs. True expertise now resides in discernment, specifically the capacity to evaluate trade-offs and take accountability for what a system normalises. Ultimately, professional relevance in an AI-mediated world depends on authored intent rather than mere velocity. Professionals must shift from being simple executors to becoming masters of context and critique to ensure technology serves meaningful human ends. 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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    15 分
  • Where Do I Stand?

    Where Do I Stand?
    2026/01/17
    In this reflective piece, author Greg Twemlow explores the perilous intersection of artificial intelligence and unethical capitalism, comparing the modern digital landscape to a chaotic sea that threatens to commodify human thought. He argues that we are currently undergoing a period of cognitive extraction, where machine learning models strip-mine individual creativity and nuance for corporate profit. To counter this, Twemlow advocates for personal sovereignty as a metaphorical lifeboat, urging individuals to maintain their intellectual agency through deliberate human intervention. He introduces a framework for survival involving context and critique, emphasising that we must decouple our thinking speed from the machine's pace to preserve wisdom. Ultimately, the text serves as a manifesto for accountable AI usage, insisting that users must remain the captains of their own cognition rather than passive data points. Such a disciplined approach ensures that human judgment and dignity are not lost to the automated mediocrity of algorithmic outputs. 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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    14 分
  • Math Unlocks the Universe, but Can’t Replace Discernment

    Math Unlocks the Universe, but Can’t Replace Discernment
    2026/01/14
    Greg Twemlow’s article examines the profound relationship between mathematics and reality, questioning whether the universe is merely described by or actually composed of mathematical structures. While acknowledging that math reveals deep cosmic truths, the author warns that treating it as the ultimate reality risks eroding human agency, ethics, and meaning. This philosophical concern is extended to modern artificial intelligence, where the speed of machine output can bypass thoughtful reflection. Twemlow introduces the "Human Pause" and a structured "Context & Critique Rule" to ensure that human discernment remains the primary driver of decision-making. Ultimately, the text argues that while math and AI are powerful keys, human judgment must decide which doors they should open. 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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    16 分
  • Human and AI Context Graphs

    Human and AI Context Graphs
    2026/01/10
    Greg Twemlow explores the critical need for a parallel trust protocol that captures the reasoning process behind decisions made by both humans and machines. He argues that modern software and education systems suffer from a structural flaw by prioritising final outputs while discarding the logic and context that produced them. To address this, Twemlow introduces the Context & Critique Rule™, a framework designed to slow down interactions and foster human agency through a visible decision trace. This human-centric approach mirrors the emerging Context Graph technology in Silicon Valley, which aims to make AI agents more explainable and less brittle. By transforming the "black box" of technology into a "glass box" of transparency, we can audit cognitive biases and ensure accountability. Ultimately, the source suggests that the true value in an AI-driven world lies in understanding the path to a conclusion rather than just the result itself. 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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    14 分