• 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?
    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
    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
    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
  • Prompt Libraries Can’t Be Your AI Strategy
    2026/01/07
    Greg Twemlow argues that relying on pre-written prompt libraries is an ineffective AI strategy because it prioritises increased output over genuine human cognition. He suggests that simply distributing instructions leads to organisational drift, where the volume of content grows while shared judgment and quality standards decline. To combat this, he proposes the Context & Critique Rule, a discipline that ensures users maintain intellectual ownership by establishing context and applying rigorous evaluation before adopting AI results. His leadership briefing aims to shift organisations from mere tool adoption toward cognitive coherence, ensuring that AI use is grounded in transparent thinking rather than hollow automation. Ultimately, the goal is to foster shared mental frameworks that preserve integrity and professional standards as artificial intelligence scales. 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
  • Context & Critique SI Library
    2026/01/03
    Greg Twemlow introduces the Context & Critique SI Library™, a structured framework designed to move beyond shallow AI interactions by enforcing a rigorous "Context → Draft → Critique → Revise" loop. This system utilizes a stable Core System Instruction alongside modular "Module Cards" to ensure that human judgment and accountability remain central to the creative process. By categorising work through specific modes, stakes, and phases, the library helps users maintain transparency and traceability in their decision-making. A key feature, the "Wall" threshold, acts as a final integrity check to guarantee that any shared output is credible and reflects the author’s authentic voice. Ultimately, the methodology seeks to transform AI from a simple search tool into a legible and professional partner for educators and leaders alike. This approach ensures that technological efficiency does not come at the expense of intellectual ownership or 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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    14 分
  • The Philosophy Enabling Human Meaning to Survive
    2026/01/02
    Greg Twemlow explores the essential role of structured methodology in safeguarding human meaning and authorship against the rapid, machine-driven pace of artificial intelligence. He draws a striking parallel between the rule-bound techniques of 4,000-year-old Texas rock art and the modern need for cognitive protocols to navigate the widespread diffusion of AI. By comparing ancient artistic consistency to contemporary system instructions, the author argues that repeatable sequences and human-scaled rhythms are vital for preserving judgment over mere speed. His IB137 framework serves as a modern scaffold, offering a disciplined thinking process that prevents automated fluency from replacing genuine individual discernment. Ultimately, the text asserts that as technology becomes ambient, humans must adopt a rigorous "seamanship" of the mind to maintain agency and prevent their decisions from being outsourced to algorithms. 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
  • Temple of Ice and Salt
    2025/12/31
    In this creative narrative, author Greg Twemlow imagines a meeting in Havana with Thomas Hudson, the protagonist of Ernest Hemingway’s posthumous novel Islands in the Stream. Their conversation serves as a vehicle to explore Twemlow’s Earth Mother Manifesto, which posits that modern humanity suffers from a profound sense of civilisational orphanhood due to its detachment from the natural world. By pairing his philosophy with Hudson’s stoic grief, the author argues that we have mistakenly traded a sacred connection to nature for mere resource extraction. The dialogue emphasises that the environment is a sovereign divinity rather than a property to be owned, suggesting that our current loneliness stems from this spiritual severance. Ultimately, the text uses this fictional encounter to advocate for a new theology that recognises nature’s indifference and our own inherent smallness within the global ecosystem. 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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    9 分