By Jim Shimabukuro (assisted by ChatGPT)
Editor
[Related: Trump’s AI Executive Order: Insufficient for the Task]
Summary: The global reaction to Trump’s AI order shows that national policy can no longer contain a technology whose consequences spill instantly across borders. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
[Related: Trump’s AI Executive Order: International Response]
Summary: The critique reveals a deeper truth: regulating AI with yesterday’s tools leaves governments perpetually behind a technology that evolves faster than law. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
[Related: Does AI Require a Paradigm Shift in the Writing Process?]
Summary: AI is forcing writing instruction to shift from product to process — turning composition into a dynamic dialogue between human intention and machine insight. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
Summary: This article argues that in an age of limitless machine answers, human progress will depend on the quality of the questions we dare to ask. –Copilot
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By Jim Shimabukuro (assisted by Copilot)
Editor
[Related: Is the Wait for Agentic AI Over?]
Summary: The update suggests agentic AI is crossing from promise to practice — raising urgent questions about autonomy, oversight, and machine‑driven initiative. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
Summary: Nadaka Yoshinari isn’t just Japan’s Muay Thai standard-bearer—he’s the rare fighter who turned technical brilliance into a cross-border takeover of Thailand’s toughest ring. It matters because his rise signals how global combat sports power is shifting beyond the traditional Thai stronghold. –Perplexity
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By Jim Shimabukuro (assisted by Claude)
Editor
[Related: Evolution of Connectivism to the Age of AI: Downes and Siemens | cMOOC: Increasing Connectivist Overlap Into AI-Enhanced Education | A May 2026 Update on Downes and Siemens’ cMOOC]
Summary: Connectivism’s founders anticipated an era where learning is networked — and AI now makes those networks intelligent, adaptive, and globally scalable. –Copilot
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By Jim Shimabukuro (assisted by DeepSeek)
Editor
[Related: Connectivism, Its Founders, and the Age of AI: Siemens and Downes | cMOOC: Increasing Connectivist Overlap Into AI-Enhanced Education | Evolution of Connectivism to the Age of AI: Downes and Siemens]
Summary: The cMOOC update shows how open learning ecosystems are evolving into AI‑enhanced communities where knowledge grows through collective intelligence. –Copilot
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By Jim Shimabukuro (assisted by ChatGPT)
Editor
[Related: Connectivism, Its Founders, and the Age of AI: Siemens and Downes | A May 2026 Update on Downes and Siemens’ cMOOC | Evolution of Connectivism to the Age of AI: Downes and Siemens]
Summary: As cMOOCs merge with AI, education shifts from content delivery to co‑creation — redefining what it means to learn in a world of ambient intelligence. –Copilot
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By Jim Shimabukuro (assisted by Gemini)
Editor
[Related: Connectivism, Its Founders, and the Age of AI: Siemens and Downes | cMOOC: Increasing Connectivist Overlap Into AI-Enhanced Education | A May 2026 Update on Downes and Siemens’ cMOOC]
Summary: As AI makes networks intelligent, connectivism shifts from a learning theory to a blueprint for how humans and machines co‑construct knowledge at scale. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
Summary: The prospect of AGI‑augmented animals forces society to confront whether intelligence is a right, a risk, or a redesign of Earth’s biological hierarchy. –Copilot
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By Jim Shimabukuro (assisted by ChatGPT)
Editor
Summary: If dogs can detect androids through behavior, not smell, it suggests that authenticity in the AI era will be judged by interaction rather than appearance. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
Summary: Tulsi Gabbard’s resignation was officially framed as a family decision, but the real story is how quickly a rift-ridden DNI tenure collides with Trump’s loyalty-first national security politics. It matters because her exit exposes both the human cost of power and the instability inside the administration’s intelligence chain. –Perplexity
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By Jim Shimabukuro (assisted by Claude)
Editor
Summary: AI‑driven democratization threatens elite institutions unless they reinvent themselves as engines of access, not gatekeepers of prestige. –Copilot
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By Jim Shimabukuro (assisted by ChatGPT)
Editor
Summary: Embodied AI shows that breakthroughs happen when intelligence gains a body — collapsing the gap between digital reasoning and physical action. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
[Related: What to Call a Technophile Who Is Also a Retro-Tech Enthusiast: ‘techno-primalist’?]
Summary: Techno‑primalism argues that the future won’t reject the past — it will fuse cutting‑edge tools with ancestral habits to stabilize human identity in an AI world. –Copilot
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By Jim Shimabukuro (assisted by Copilot)
Editor
[Related: ‘Techno-Primalists’: The Yin-Yang of Innovation and Ancestral Practice]
Summary: The rise of techno‑primalists reveals a cultural pivot: people want innovation without losing the tactile rituals that make technology feel human. –Copilot
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By Jim Shimabukuro (assisted by Claude)
Editor
Summary: China’s humanoid surge signals a geopolitical shift where robotics becomes the new measure of national capability, competitiveness, and influence. –Copilot
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By Jim Shimabukuro (assisted by DeepSeek)
Editor
Summary: As China accelerates humanoid deployment, the national‑security debate intensifies around whether machine labor, autonomy, and mobility redefine strategic power. –Copilot
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By Jim Shimabukuro (assisted by Gemini)
Editor
[Related: AI in Journalism 2026-2027: ‘more agentic automation’]
By May 2026, artificial intelligence has ceased to be an experimental tool or a mere back-office novelty in competitive journalism. Instead, it has become deeply woven into investigative workflows, digital publishing, forensic verification, and multi-platform audience distribution (4). Rather than replacing the foundational human labor of reporting, cutting-edge AI technologies are being utilized by elite newsrooms to scale up systemic tracking, interpret massive unorganized datasets, and combat sophisticated state-level disinformation campaigns (3,8). The shift from basic task automation to advanced, multi-step agentic workflows represents the definitive technological change-management milestone of the year (2).
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By Jim Shimabukuro (assisted by ChatGPT)
Editor
[Revised 20 May 2026, 8:55am HST]
Below is a cleaned and curated transcript containing only the remarks of Jensen Huang from the Stanford Graduate School of Business event, “U.S. Leadership in AI,” held on 9 April 2026. The original event details are available from Stanford Graduate School of Business. (Stanford News)
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By Jim Shimabukuro (assisted by Copilot)
Editor
Across 2024–2026, churches, seminaries, and lay Christians have begun to treat generative and agentic AI as a new layer in the long history of study tools, from concordances to Bible software. The result is a mix of real democratization, serious ethical and theological questions, and a looming need for wise norms rather than simple acceptance or rejection (1,3,4).
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By Jim Shimabukuro (assisted by Copilot)
Editor
Short answer: This is mostly right. Purely aerial campaigns—especially those that deliberately avoid ground invasion—very rarely force a determined state to capitulate. They can hurt, disrupt, and signal resolve, but on their own they usually don’t break political will, and they often harden it instead. The Iran–Trump dynamic fits that pattern more than it contradicts it.
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By Jim Shimabukuro (assisted by Claude)
Editor
[Related: Neuralink, Xpanceo, Fitbit, Northwestern, Minew | Samsung, Google, Movano, WearOptimo, Ultrahuman | Sibel, Aktiia, OTO, Dreame, Qualcomm | Alva, Proteus, QuantumOp, Nanowear, Apple]
Something fundamental is shifting in how we think about the word “prescription.” For most of human history, the word conjured a doctor’s scrawled instructions, a bottle of pills, a shot in a clinic. That image is becoming obsolete — not abruptly, but steadily, as a new generation of AI-powered wearable devices redefines what it means to monitor, diagnose, treat, and manage health. The ETC Journal’s four-part series, “AI Healthcare Wearables in May 2026,” surveying twenty pioneering companies in AI healthcare wearables, documents a field that has crossed a threshold: from passive fitness tracking to active, predictive, and in some cases interventional clinical-grade care (1-4). To understand where this is headed and to grasp what it will mean for conventional prescriptions over the next five years requires looking carefully at what these devices are already doing, who is building them, and what barriers still stand in the way.
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By Jim Shimabukuro (assisted by Gemini)
Editor
[Related in this series: AI Wearables and the Future of Prescriptions: 2026-2030 | Samsung, Google, Movano, WearOptimo, Ultrahuman | Sibel, Aktiia, OTO, Dreame, Qualcomm | Alva, Proteus, QuantumOp, Nanowear, Apple]
The rapid evolution of medical-grade artificial intelligence has transformed wearables from simple fitness trackers into sophisticated clinical instruments capable of continuous diagnostic-grade monitoring (1, 3). While established leaders like Apple and Samsung continue to refine their ecosystems, several pioneering firms have introduced “harbinger” technologies that bridge the gap between traditional electronics and biological systems. The following five healthcare wearables represent the cutting edge of this field as of May 2026.
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Educational Technology and Change Journal 
