By Jim Shimabukuro (assisted by ChatGPT, Copilot, DeepSeek, Grok, Perplexity, Claude, Gemini, Meta)
Editor

[Related: Dec 2025]

Introduction: I asked eight chatbots to predict the arrival of singularity – the moment when AI first surpasses human intelligence and improves itself. Their estimate and rationale are listed below, from the earliest to the latest. -js

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By Jim Shimabukuro (assisted by Grok)
Editor

Over the past two decades, the general architecture of desktops and laptops has remained strikingly consistent, relying on familiar components like motherboards, CPUs, RAM, GPUs, hard drives, and peripheral interfaces such as USB, Bluetooth, and WiFi, all housed within standard cases and driven by conventional operating systems and applications. While these components have seen incremental improvements in speed and efficiency, the core design—rooted in the von Neumann model of sequential processing and separated compute and memory—has persisted largely unchanged.

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By Jim Shimabukuro (assisted by Claude)
Editor

(Related: Jun 2026 | Apr 2026 | Feb 2026 | Jan 2026 | Dec 2025 | Oct 2025 | Sep 2025)

Introduction: I asked Claude to identify the three most pressing developments and decisions facing the field of AI in November 2025. -js

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

[Related: July 2026, Feb 2026, Sep 2025, Aug 2025]

Introduction: I asked ChatGPT to provide a ranked list of 10 countries leading AI research and development as of October 26, 2025. For methodology, see “Methodology and caveats” at the end of the article. -js

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By Jim Shimabukuro (assisted by Grok)
Editor

[Also see Five Top Ed Tech Stories in Late Aug. 2025, Five Top Ed Tech Stories in Late Sep. 2025]

1. ClasStars: Illuminating the Invisible in Modern Classrooms

The story of ClasStars unfolds primarily in the bustling classrooms of New York City, United States, where urban public schools grapple with diverse student populations and overstretched educators. Geographically rooted in this vibrant yet challenging educational hub, the narrative spans nearly two decades, from the early 2000s when founder Moshe Fried began his career as a social worker observing overlooked children, to the present day in late October 2025, as the platform gains traction amid a post-pandemic push for personalized learning tools. This time frame captures a pivotal moment in educational technology, where data-driven insights are increasingly vital for addressing equity gaps exacerbated by remote learning disruptions between 2020 and 2023.

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By Jim Shimabukuro (assisted by ChatGPT-5, Gemini, Copilot)
Editor

[Also see Sep. 2025 – AI Developments in the US Job Market, Oct. 2025 – AI Developments in the US Job Market]

Current trends strongly suggest that the major impact on the US employment landscape in November 2025 will stem from the accelerating adoption and refinement of existing AI capabilities in key areas.

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By Jim Shimabukuro (assisted by Grok)
Editor

[Related: Mar 2026, Jan 2026, Dec 2025, Nov 2025, Sep 2025, Aug 2025]

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: Currently, we’re beginning to see apps/software such as search engines, office suites, and operating systems folding chatbot features into their repertoire. I asked ChatGPT to consider the possibility of the tables turning and apps/software being folded into chatbots. -js

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: I asked ChatGPT to peek ahead to the end of the year to give us an idea of what to expect in terms of advances in chatbot services. I also asked it to focus on free services and the five chatbots that seem to be leading in innovation. -js

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By Jim Shimabukuro (assisted by Claude)
Editor

The Pattern of Resistance to Innovation

Over the past two centuries, major technological innovations have indeed faced resistance, though the nature and intensity varied considerably. AI is no exception. Some innovations encountered fierce opposition rooted in economic fears, moral concerns, or cultural anxieties, while others were embraced with remarkable enthusiasm. The pattern isn’t universal—pushback depended heavily on whose interests were threatened and how rapidly the technology disrupted existing social structures. A historical view might provide perspective on the current resistance to AI.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

In his blog post, Yossi Matias (Vice President, Google & Head of Google Research) presents a unified narrative of how Google Research is striving to turn foundational breakthroughs into real-world impact (“Google Research: accelerating scientific breakthroughs to real-world impact,” Google Blog, 23 Oct 2025). He frames the operation as a “magic cycle” in which large-scale models, agentic systems, and domain‐specific pipelines feed back into scientific discovery and deployment.

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By Jim Shimabukuro (assisted by Perplexity)
Editor

[See related reports: Dec 2025, Nov 2025, Sep 2025]

These are ten of the most significant articles published in October 2025 on the role of artificial intelligence in colleges and universities, ranked from most to least significant. Each article represents a transformative aspect of how AI is reshaping higher education—pedagogy, ethics, policy, research, and professional development.

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By Jim Shimabukuro
Editor

It was the first day of instruction, and Keani and Ilima were among the twenty-or-so students who were slowly entering the college classroom, plopping into empty tablet-arm chairs, and lifting laptops out of their backpacks. They chose seats in the center of the room.

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By Jim Shimabukuro (assisted by Grok)
Editor

In their 20 October 2025, article published in Times Higher Education, titled “AI threatens universities’ ability to bolster democracy,” Dirk Lindebaum and Gazi Islam present a cautionary argument about the encroachment of artificial intelligence into higher education, framing it as a force that undermines the sector’s role in fostering democratic societies. At the core of their claim is the notion that “Big Edtech”—a term encompassing profit-driven AI companies like those behind ChatGPT and Claude—fuels organizational immaturity within universities, which in turn contributes to broader societal democratic decline.

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By Jim Shimabukuro (assisted by Copilot)
Editor

Zipei Ouyang’s article, “Self-regulated learning and engagement as serial mediators between AI-driven adaptive learning platform characteristics and educational quality: a psychological mechanism analysis,” was published in Frontiers in Psychology on 19 October 2025. The study offers a compelling psychological framework for understanding how AI-driven adaptive learning platforms enhance educational quality, revealing that self-regulated learning and engagement act as critical mediators. This research is both methodologically sound and socially relevant, making it valuable to educators, technologists, and general readers interested in the future of learning.

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By Lynn Zimmerman
Associate Editor
Editor, Teacher Education

It’s hard to believe that ChatGPT only came on the scene in November 2022. Its emergence opened the floodgates for AI to become part of everyday life so quickly. When AI came on the scene, many educators were quick to understand its benefits for them as teachers and have been eager to use it.  

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: I asked ChatGPT to adopt the persona of an AGI (Artificial General Intelligence) in the year 2050 to explain, from its own perspective, how it reached human-level mastery of all forms of critical and creative thinking within a single generation, powered by collective “swarm cognition.” The journey to this article began with an earlier conversation that provided the groundwork. -js

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By Jim Shimabukuro (assisted by Copilot)
Editor

In mid-2025, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) unveiled a groundbreaking technique called SEAL—short for Self-Adapting Language Models. This framework represents a major leap in the evolution of artificial intelligence, enabling large language models (LLMs) to autonomously improve themselves by generating and applying their own fine-tuning data.

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By Jim Shimabukuro (assisted by Perplexity)
Editor

JS: What is Mirror Life and why does it matter?

Perplexity: Mirror Life refers to a hypothetical or emerging form of synthetic biology in which all biological molecules—DNA, RNA, proteins, sugars—are flipped in chirality (molecular “handedness”) compared to natural life on Earth. In other words, mirror life would be built from right-handed amino acids and left-handed sugars, the opposite of what Earth organisms use.pasteur+2​

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: This is a list of U.S.-based higher-education (and higher-ed–focused) conferences that were announced in 2025 and are scheduled for 2026, with a clear AI theme or significant AI programming. Included are the conference dates (in 2026), city/state, sponsor/host, whether it’s in-person/hybrid/online, proposal/deadline info (where available), a short description of the AI emphasis, and a link to the conference page for more details.

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: I asked Claude to review and summarize Mohamed Khalifa and Mona Albadawy’s “Using artificial intelligence in academic writing and research: An essential productivity tool,” Computer Methods and Programs in Biomedicine Update, March 2024 (Vol. 5). -js

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By Jim Shimabukuro (assisted by Gemini)
Editor

[Also see Tell Me More About Anthropic (Sep. 2025), Among AI Peers, DeepMind Is the Most Scientifically Driven]

Gemini: As of mid-October 2025, the field of AI in China is highly competitive. Baidu is a major leader, particularly in core AI technology and autonomous driving: (1) Large Language Models (LLMs) and Generative AI: Baidu’s ERNIE Bot is one of the most prominent LLMs and holds a strong position. One report from 2024 indicated that Baidu AI Cloud held China’s largest LLM market share with 19.9%. (2) Autonomous Driving: Baidu’s Apollo Go robotaxi fleet is a key player, often cited as one of the world’s largest autonomous driving experiments. The Chinese government also designated Baidu as a national champion for Autonomous Vehicles.

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: This morning, I prompted: “Good morning, Claude. In the US, in 2050, when the oldest Gen-Beta will be 25 years old, how will their views differ from earlier generations on topics such as: dating, marriage, having children, schooling, college, career/work, MAGA, immigrants, mass shootings, guns, DEI, US military power, politics, our economy, and other topics that you deem important?”

Claudeʻs response: “Good morning! I’ll explore how Generation Beta—those born from 2025 onward—might view these crucial topics by 2050, when the oldest among them reach 25. This analysis necessarily involves speculation, but I’ll ground it in current trends while acknowledging the uncertainty inherent in predicting a quarter-century into the future.” -js

Dating and Romantic Relationships

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Introduction: This clarification of the generations, in reverse order, from Generation Beta (the youngest) to the Silent Generation, is written by ChatGPT. The generations: Generation Beta (born ~2025–2039), Generation Alpha (born ~2010–2024), Generation Z (born ~1997–2009), Millennials (born ~1981–1996), Generation X (born ~1965–1980), Baby Boomers (born ~1946–1964), Silent Generation (born ~1928–1945), and The Greatest Generation (born ~1901–1927). -js

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Introduction: The following explanation is provided by Copilot.

Extended reality (XR) is the umbrella term for immersive technologies like augmented reality (AR), virtual reality (VR), and mixed reality (MR), each offering different levels of interaction between digital and physical worlds. Here’s a breakdown of each concept and how they differ:

Extended Reality (XR)

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By Jim Shimabukuro (assisted by Claude)
Editor

Claude: The integration of artificial intelligence into education represents far more than a technological upgrade to existing systems. It constitutes a fundamental challenge to the paradigms that have structured formal learning for over a century. The current educational model, rooted in industrial-era assumptions about knowledge transmission, standardization, and credentialing, is encountering anomalies that its framework cannot adequately address. These disruptions signal not merely the need for incremental reform but rather a paradigmatic shift in how we conceive of learning, teaching, and intellectual development itself.

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: I read an article this morning, “The industrialization of solid-state batteries has entered the ‘sprint stage’, and listed companies are vying for a share of the multi-billion-dollar market” (36kr Europe, 11 Oct 2025): “On October 10th, it was reported that Sun Xueliang, a chair professor at Ningbo Dongfang Institute of Technology, collaborated with teams from the University of Western Ontario in Canada, the University of Maryland in the United States, and other institutions to create a new type of halide electrolyte with ultra-high ionic conductivity…. It is understood that this research provides a new technical path for the preparation of ultra-stable all-solid-state batteries and is expected to accelerate the transition of all-solid-state batteries from the laboratory to practical applications.” Intrigued, I asked Grok to look into the general topic of solid-state batteries, and it generated the following report. -js

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By Jim Shimabukuro (assisted by Claude)
Editor

When the Norwegian Nobel Committee announced María Corina Machado as the 2025 Nobel Peace Prize laureate, they described her as someone who “keeps the flame of democracy burning amidst a growing darkness.” It’s a poetic phrase, but for Venezuelans who have lived through decades of authoritarian tightening, economic collapse, and systematic suppression of dissent, it’s also painfully literal. In a country where speaking truth to power can cost you everything—your livelihood, your freedom, even your life—Machado has refused to be silenced. At 58 years old, this industrial engineer turned democracy activist has become the most prominent voice of resistance in Venezuela, a woman whose courage has inspired millions even as she’s been forced into hiding to preserve her safety and freedom.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: This is a list of twenty major ways a federal government shutdown can impact average Americans. Information includes context about which populations are particularly exposed, how they feel the impact, and why it matters for the broader social and economic fabric. Some effects overlap or intensify one another, especially if the shutdown lasts weeks or months.

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By Jim Shimabukuro (assisted by Grok)
Editor

If we could leap forward to October 8, 2026, the world we encounter would reveal AI as a pervasive force, reshaping the fabric of daily existence in ways that amplify human potential while introducing unprecedented complexities. No longer confined to niche applications, AI has infiltrated every corner of society, driving efficiencies, sparking innovations, and sometimes exacerbating divides. From the intimate rhythms of home to the grand stage of global affairs, its influence manifests in tangible shifts that redefine how we live, connect, and create. This transformation, accelerated by breakthroughs in autonomous agents and multimodal systems, has not merely augmented routines but fundamentally altered them, often blurring lines between human agency and algorithmic intervention.

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By Jim Shimabukuro (assisted by Claude)
Editor

Stepping out of the time machine onto the streets of 2026, the first thing that strikes you isn’t a dramatic visual change—no flying cars or robot overlords—but rather the subtle omnipresence of intelligence woven into the fabric of daily existence. The world has adopted AI with the same casualness that it once embraced smartphones, and this quiet revolution has rewritten the rhythms of human life in ways both profound and mundane.

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By Jim Shimabukuro (assisted by Copilot)
Editor

By October 8, 2026, AI has not merely integrated into our lives—it has restructured the architecture of daily existence, reshaped our social contracts, and redefined what it means to be human in a world of synthetic agency.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

October 8, 2026: The Year After We Let the Machines In

If we could step through a portal into October 8, 2026, we’d find ourselves in a world that looks deceptively familiar—people still scrolling through their phones, commuting, teaching, falling in love—but beneath the surface, something profound has shifted. AI has moved from being a tool that people use to a presence that people live with. The daily choreography of life—home, school, work, travel, and even affection—has been rewritten not by decree but by quiet adoption. We’d realize that by 2026, we crossed the threshold from “AI-assisted” to “AI-embedded,” and no one really noticed the exact moment it happened.

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By Jim Shimabukuro
Editor

Harris Kupperman, founder of Praetorian Capital, said, “Based on my conversations over the past month, the physical datacenters last for three to ten years, at most. Changes to cooling systems, chip and racking designs, power systems, and even overall layouts, mean that the buildings themselves are likely depreciating quite rapidly as well.

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By Jim Shimabukuro (assisted by Grok)
Editor

[Also see AI Reshaping College Campus Architecture (November 2025)]

JS: Is the educational potential of AI exponential to the point where, in the next few years, it will replace books and a large proportion of traditional teacher roles in schools and higher education? If yes, please explain why via examples that are currently leading the way.

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: Napheesa Collier delivered her prepared statement during the Minnesota Lynx’s end-of-season exit interviews on September 30, 2025, at Target Center in Minneapolis. The remarks, which lasted approximately 4 minutes and 23 seconds, were made in response to questions about officiating and player safety but expanded into a broader critique of WNBA leadership, including Commissioner Cathy Engelbert. While no single source provides a 100% verbatim line-by-line transcript (as the event was primarily captured in video form across media outlets), the following is a complete reconstruction based on direct quotes compiled from contemporaneous reporting. It represents the entirety of her opening statement before transitioning to Q&A. -Grok

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ChatGPT: Model Context Protocol (MCP) is a new open protocol developed by Anthropic (announced in 2024) to let AI models—like Claude, ChatGPT, or others—connect safely to external tools, apps, and data sources. Here’s the idea in plain terms:

Problem it solves:
AI models don’t automatically know about your local files, databases, or business apps. Giving them unrestricted access can be risky.

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By Jim Shimabukuro (assisted by Grok)
Editor

JS: What became of the thousands of cars that were caught in the March 11, 2011, tsunami that hit northeast Japan? Were most of them salvaged and returned to service?

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By Jim Shimabukuro (assisted by Copilot)
Editor

Introduction: Quarterback performance in the NFL is deeply intertwined with the quality of the supporting cast. A porous offensive line can turn a genius into a scrambling liability. Mediocre receivers can nullify pinpoint accuracy. A weak running game invites defensive pressure. Coaching philosophy can either unlock a quarterback’s full potential or stifle it. And backup depth ensures continuity and strategic flexibility. Strip these away, and even the most gifted quarterback may appear pedestrian.

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By Jim Shimabukuro (assisted by Claude)
Editor

JS: Aloha, Claude. Curious again. Are we anywhere close to a tipping point where professional journal review boards are or could be replaced by AI referees? It seems to me that a chatbot strength is in reviewing articles for publishing in professional journals. I haven’t done any sort of testing and haven’t read any studies on this, but the handful of times I asked chatbots to review articles I found online, they did a competent job.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Think of training a chatbot like teaching a very fast, very greedy parrot to write helpful answers — except instead of a classroom, the “teacher” is thousands of computers in a data center, and the parrot is a huge neural network called a large language model (LLM). Below are the main steps in plain language. In short, training involves collecting lots of text, building a giant neural network, teaching it by showing examples and correcting errors across thousands of fast computers, fine-tuning it with human feedback for helpfulness and safety, and then hosting it so people can chat with it — while continuously monitoring and improving it.

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By Jim Shimabukuro (assisted by Gemini and Grok)
Editor

Gemini: Distributed data centers are not inherently as powerful as hyperscale or centralized data centers in every respect. Each architecture is powerful in different ways, excelling at different operational priorities.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

[Also see the reports from Dec 2025, Oct 2025, July 2025]

Prompt: I’m curious. What percentage of college professors and administrators personally use chatbots in optimum ways to facilitate their own professional development, research, writing, and job responsibilities? I think this is an important question because they, as a group, are responsible for crafting AI program decisions in their institutions. -js

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: AI as a university field of study is growing exponentially. However, that very growth implies that earlier studies and skills will quickly succumb to obsolescence. This shifting playing field requires program trajectories that proactively anticipate changes and focus on abilities that are more future-proof. I asked ChatGPT to identify ten universities, in the West and the East, that are developing exemplary programs. After listing ten, ChatGPT suggested adding five more, and I agreed. -js

These are fifteen universities (West and East) that are actively building programs to prepare graduates not just to work with AI, but to adapt as the field rapidly changes. Each selection includes an explanation of how the institution is structuring education, research, and industry links so students can survive — and thrive — in a shifting AI landscape. Sources for the key program facts are cited after each essay.

1. Massachusetts Institute of Technology (MIT)

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By Jim Shimabukuro (assisted by Claude)
Editor

JS: Hey Claude. As of 22 Sep. 2025, what’s the latest re the relationship between visual imagery vividness (VIV) and AI?

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

We’re closer than most people think to decoding limited, structured content (words, intentions, simple images, commands) from the noninvasive scalp or head surface; but we are still far — likely years to decades — from accurately “reading” rich, unconstrained thoughts the way science-fiction imagines. The most realistic near-term progress will come from combining better sensors + multimodal recording + large self-supervised AI models and careful personalization. Below is a summary of what’s already possible, the promising technical paths, the hard limits, and a realistic timeline — with the most important recent work cited.

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By Jim Shimabukuro (assisted by Claude)
Editor

JS: Good morning, Claude. On 11 Sep. 2025, Albania formally appointed Diella, an AI, as Minister for Public Procurement. The motivation is good: To stem corruption. However, regardless of its success or failure in the coming months or years, I can’t help but feel that this is a monumental first step toward controlling corruption at the administrative level in the public and private sector and that AIs will soon be routinely holding positions such as this, although they may not carry “human” titles such as “minister.” Please research publications, if any, that have touched on this possibility and briefly summarize their views and reasoning in 200-300 word essays. Also share your “opinion” on this emerging development.

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By Jim Shimabukuro
Editor

Introduction: Nearly a month ago, Grok and I had a conversation about what we called “integrative glasses” (ETC Journal, 22 Aug. 2025), and, in that article, we anticipated many of the features that are offered in the Meta Ray-Ban Display. We projected a timeline of 2025-2030 for the release of “bridge systems” such as this, which rely on controls external to the glasses, such as smartphones. The fact that it was announced only two days ago (on 17 Sep. 2025) and will drop on 30 Sep. 2025 — our earliest projected date — attests to the exponential speed of AI innovations. Anticipated prices start at $799 USD. -js

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By Jim Shimabukuro (assisted by Claude)
Editor

The integration of artificial intelligence into academic life has fundamentally transformed how students approach learning, research, and creative work. While widespread adoption of AI tools like ChatGPT, Claude, and specialized academic platforms has occurred across all educational levels, the most academically successful students have developed sophisticated strategies that set them apart from their peers. Rather than using AI as a shortcut or replacement for critical thinking, these high-achieving students have cultivated nuanced approaches that amplify their intellectual capabilities while preserving their authentic voice and deep learning objectives.

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By Jim Shimabukuro (assisted by Grok)
Editor

The top 10 countries whose K-12 educational systems produce the greatest number of students accepted into and graduating from top AI university programs in 2025 are ranked below based on available data from global AI talent trackers, reports on PhD production in AI/ICT fields, and international student flows into top programs (predominantly U.S.-based, which host ~60% of elite AI graduate programs worldwide).

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By Jim Shimabukuro (assisted by Claude)
Editor

(Also see Shakespeare in 2025: Five Sonnets.)

Digital Winds Are Blowin’
Original lyrics in the style of Bob Dylan, to be sung to the melody of “Blowin’ in the Wind”

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By Jim Shimabukuro (assisted by DeepSeek)
Editor

The shift from unimodal (text-only) AI to multimodal AI (processing and generating text, images, audio, and video) isn’t just an incremental upgrade—it’s a fundamental change in how AI perceives and interacts with our world, which is inherently multimodal. Here are 10 compelling reasons why multimodal AI is such a game-changer:

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: This list of 100 began with a search for 20 famous sleuths, real and fictional. After the 20, we decided to add 10 more from Asia and the Pacific, then 10 from Latin America and Africa followed by 10 from Middle-Eastern and South Asia, bringing the total to 50. We had quite a list, but we realized we had omitted many more from around the world. We decided to shoot for 100. Our growing list tended to favor fictional sleuths, so we decided to let that happen naturally. At the end, our list had grown to 100, but we realized we were omitting many others. We decided to stop, for now, and follow up with another list in the near future, i.e., if readers express an interest in seeing more. -js

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By Jim Shimabukuro (assisted by Grok)
Editor

The concept of a tipping point in education—where AI surpasses traditional schools as the dominant learning medium—is increasingly plausible based on current trends, technological advancements, and expert analyses. While schools have long served multifaceted roles beyond pure knowledge transfer (like socialization, emotional development, and childcare), AI’s rapid evolution in personalization, accessibility, and efficacy could shift the balance. I’ll break this down step by step, drawing on recent data and discussions.

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By Jim Shimabukuro (assisted by Claude)
Editor

(Also see A Song That Bob Dylan Might Write.)

JS: Claude, you’re Shakespeare, returning to 1590s London after spending a month in the in the US in 2025. You were intrigued by many wonders in your time travel, and one was the concept of AGI. You’ve decided to write a sonnet, in your now familiar Renaissance style, capturing your feelings about this innovative idea. Share that sonnet with us.

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: Grok and I explored the roots of underperforming elementary schools in the nation and the implications that surfaced as a result of our digging. -js

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By Jim Shimabukuro (assisted by Perplexity)
Editor

Introduction: Elon Musk’s Colossus—built by xAI in Memphis—is currently considered the largest AI supercomputer in the world in terms of GPU count, computing power, and rapid build-out, but it is not the largest data center globally when measured by physical size or total server capacity. Competitive megacenter projects from China, the U.S., and Europe rival or exceed it in site area and may soon overtake xAI both in scale and ambition.wikipedia+5

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By Jim Shimabukuro (assisted by DeepSeek)
Editor

Introduction: The hardware for each is optimized for vastly different workloads. The core difference is that desktop GPUs (Graphics Processing Units) are designed for high frame rates in a single application (a game) on a single machine, while data center GPUs (like those in xAI’s cluster) are designed for high throughput in massively parallel computations across thousands of machines. Here’s a detailed breakdown, referencing the most relevant hardware.

Referenced GPUs

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By Jim Shimabukuro (assisted by Copilot, Perplexity, ChatGPT)
Editor

Charlie Kirk’s recent death has sparked an outpouring of tributes from across the political spectrum and cultural landscape in the US and the world. The following is a sampling from prominent figures. These reflect admiration, grief, and reflections on his legacy as a conservative activist and founder of Turning Point USA.

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

AI is already unclogging traffic in the U.S. and abroad. Cities are using machine learning and optimization to retime signals continuously, coordinate corridors, create “green waves” for emergency vehicles, and cut stops, delay, and emissions. The broader pattern is clear: agencies are moving from fixed-time plans to continuously learning optimization, starting with high-impact corridors, then scaling citywide as data and staffing permit. Below are three standout programs, ranked for scale, maturity, and independently reported results.

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By Jim Shimabukuro (assisted by Copilot)
Editor

Free smartphone apps to converse in a foreign language are already unfolding in 2025. Several free AI-powered apps now offer real-time voice-to-voice translation across dozens (even hundreds) of languages, right from your smartphone. Here’s how close we are to seamless multilingual conversation.

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

Introduction: This is ChatGPT-5‘s choice for the vision that’s most compelling in the development of AI. -js

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By Jim Shimabukuro (assisted by Perplexity)
Editor

Introduction: This is Perplexity‘s choice for the vision that’s most compelling in the development of AI. -js

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction:  This is Grok‘s choice for the vision that’s most compelling in the development of AI. -js

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By Jim Shimabukuro (assisted by Copilot)
Editor

Introduction: This is Copilot‘s choice for the vision that’s most compelling in the development of AI. -js

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: This is Claude‘s choice for the vision that’s most compelling in the development of AI. -js

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: Claude and I had a conversation about the fundamental building blocks for a learning model. To sidestep the confusing backdrop of countless learning and developmental theories, we consciously avoided references to them. We ran through a few narratives to illustrate the five blocks and ended up with a short story, Algorithm of an Intentional Heart, that breathes life into this construct. -js

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By Jim Shimabukuro (assisted by Claude)
Editor

(Also see The AGI Among Us, Close to You, Tea With Bachan: An Alien Lesson, Oregon Trail: Where Two Cultures Collaborate)

Introduction: For an insight on how this story came to be, see Basic Building Blocks for a Learning Model. -js

Marcus Chen had always approached life like a well-designed algorithm. As a data scientist for a tech startup, he found comfort in patterns, predictions, and logical sequences. So when his coworker Priya finally wore him down about trying online dating, he approached it with the same methodical precision he brought to machine learning models.

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

Introduction: ChatGPT-5 and I discussed the notion that cMOOCs (Connectivist MOOCs), instead of fading away, have simply blended into the massive social web, effectively turning it into the mother of all cMOOCs. Our discussion flowed into chatbots and the realization that they’re actually closed systems and that the next logical step is to add a bridge (connection) from the human-chatbot capsule to a parallel and open social media discussion. -js

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: Grok and I had this conversation, about an hour ago, regarding a tentative timeline for this projected disruption. -js

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

(Also see AI Data Labeling and Processing: Update August 2025, Basic Building Blocks for a Learning Model, and Algorithm of an Intentional Heart.)

Introduction: In this conversation, ChatGPT and I clarify my grasp of data labeling in the context of AI training, supervised vs unsupervised learning, agentic vs non-agentic AI, and AutoGPT. -js

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By Jim Shimabukuro (assisted by DeepSeek)
Editor

Introduction: DeepSeek and I had a conversation about the Lapita, a people who are mentioned in early histories of the Polynesians. -js

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

(Also see Writing Is Out, Swatting Is In.)

Introduction: ChatGPT-5 and I had a conversation this morning about college composition professors trying to define what’s left of writing after it’s separated from AI-generated content. This thread eventually led us to the question of whether AI is leading us into the Post-Writing Century. -js

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By Jim Shimabukuro (assisted by Copilot)
Editor

Here are five standout ways to dive into conversational Uchinaaguchi using free web and AI-based resources. Each one offers a unique entry point into the language and culture of Okinawa.

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By Jim Shimabukuro (assisted by Copilot)
Editor

Learning ʻōlelo Hawaiʻi through free, web-based or AI-enhanced tools is not only possible, it’s a powerful way to connect with cultural depth and linguistic nuance. Here are five standout options that blend accessibility, immersion, and conversational practice:

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By Jim Shimabukuro (assisted by Copilot)
Editor

Here are five standout ways to dive into conversational Spanish using free web- or AI-based tools—each offering a unique blend of immersion, interactivity, and cultural nuance.

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By Jim Shimabukuro (assisted by Grok*)
Editor

(For fundamentals on data labeling, see Data Labeling Mimics the Way Our Brain Works, Basic Building Blocks for a Learning Model, and Algorithm of an Intentional Heart.)

Introduction: Since March 2023, the field of labeled and unlabeled data processing has experienced substantial growth, driven by the escalating demands of AI and machine learning applications. This expansion is evident in surging market valuations for data labeling services, breakthroughs in semi-supervised and self-supervised learning techniques, and the emergence of synthetic data generation as a key enabler for creating labeled datasets from unlabeled sources. Below, Grok outlines the extent of this growth and highlights notable products, procedures, and services that have arisen or evolved from related research and development.

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By Jim Shimabukuro (assisted by Copilot)
Editor

Introduction: The “average” 20-year-old American woman is more of a statistical mosaic than a single archetype. Let’s break it down using the most recent data available, while keeping in mind that averages can mask enormous diversity across regions, cultures, and personal choices.

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

Introduction: What would the “perfect mile runner” look like if we combined all current knowledge of human anatomy, physiology, and psychology? Running the mile in under 3:40 requires a blend of raw speed (sprinter traits) and endurance (distance runner traits), plus biomechanics, psychology, and even cultural background.

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: In this article, Grok and I share three narratives of students using chatbots with multimodal integration—enabling seamless handling of text, vision, audio, and video—to develop and present class projects. -js

College Student: Environmental Science Web Submission on Climate Change

Sophia, a 20-year-old college junior majoring in environmental science, must submit a web-based interactive report on climate change effects on coastal ecosystems for her capstone project. Balancing classes and part-time work, she relies on her sophisticated multimodal chatbot, “AcademiaBot,” to integrate text, vision, audio, and video seamlessly.

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By Jim Shimabukuro (assisted by ChatGPT, Claude, Copilot, DeepSeek, LeChat, Gemini, Grok, Meta, Perplexity, Pi, and You.com.)
Editor

Introduction: Over the last two days, I surveyed 11 chatbots to gather their nominations for outstanding performance, in August 2025, across three AI categories: Outstanding Person, Outstanding Company, and Outstanding Product/Service. Sam Altman, OpenAI, and ChatGPT-5 led in all categories, winning three mythical ETCY awards. -js

Outstanding Person for August 2025

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By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: These are instructions on how to prompt a chatbot for a photorealistic image. The source is Gemini, which I recently discovered creates very good images. However, for the illustration that accompanies this article, I wasn’t able to generate a useful image, so I turned to ChatBox. Since I got some excellent images from Gemini earlier, I’m assuming the problem was with the prompt I created. -js

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By Jim Shimabukuro (assisted by ChatGPT-5, Gemini, Copilot)
Editor

(Also see Oct. 2025 – AI Developments in the US Job Market, Nov. 2025 – AI Developments in the US Job Market, The AI-Transformed Employment Landscape (2025–2045.)

Introduction: Here are three September 2025 developments that are poised to move the U.S. jobs needle—either by changing day-to-day workflows for millions of workers or by reshaping hiring and HR compliance. -ChatGPT

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

By 2025 and going forward, AI literacy is becoming as fundamental as basic computer literacy was in the 1990s. Adults need both practical skills (prompting, automation, media creation) and cognitive/ethical skills (verification, judgment, adaptability). Here are 10 vital AI skills every adult should master—not just for work, but for everyday life. -ChatGPT-5

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By Jim Shimabukuro (assisted by Grok)
Editor

(Also see The AGI Among Us, Algorithm of an Intentional Heart, Tea With Bachan: An Alien Lesson, Oregon Trail: Where Two Cultures Collaborate.)

Introduction: Grok and I worked on this sci-fi story for the last two days, trying to craft a narrative that banks on the readers’ natural curiosity and tendency to read between and beyond the lines to consider implications. -js

Age 6 – Why Don’t Birds Have a Shadow?

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By Jim Shimabukuro (assisted by Grok)
Editor

For a multimedia-focused desktop in August 2025, the AMD Ryzen 9 9950X is the top recommendation due to its superior multi-threaded performance, massive cache, better power efficiency, and future-proof AM5 platform. If your workload heavily involves cache-sensitive tasks or gaming, the Ryzen 9 7950X3D is an excellent alternative for its 3D V-Cache advantage.

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By Jim Shimabukuro (assisted by Grok)
Editor

Several companies have played significant roles in accelerating Intel’s decline through fierce competition, technological advancements, market share erosion, and strategic shifts that exposed Intel’s weaknesses in manufacturing, design, and emerging markets like AI and mobile. Intel’s challenges, including manufacturing delays, product failures, and financial losses, have been compounded by these rivals’ successes. Below is a breakdown of key companies involved, based on their contributions to Intel’s struggles.

1. AMD (Advanced Micro Devices)

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By Jim Shimabukuro (assisted by You.com*)
Editor

(Also see Elon Musk’s Colossus: The Gambit That Could Reshape AI Forever and Disruptive AI Supercomputer Alternative in 10 to 15 Years)

Introduction: Here’s a summary of five strong arguments for and against the idea that Colossus, xAI’s massive AI supercomputer, is succeeding or failing—based on articles and commentary from August 16–22, 2025.

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By Jim Shimabukuro (assisted by Gemini*)
Editor

Introduction: Based on the trends and innovations in audiophile equipment, here are five of the most important innovations for Gen Z in 2025. -Gemini

1. AI-Powered Personalized Audio Profiles

The most significant innovation for Gen Z is the integration of artificial intelligence to create a truly personalized listening experience. Rather than relying on a one-size-fits-all equalizer, modern headphones and all-in-one desktop units use on-board AI to analyze a user’s unique hearing profile and listening habits.¹ The technology, spearheaded by companies like Masimo (through its collaboration with Denon’s PerL earphones) and Apple’s Personalized Spatial Audio, uses on-device microphones to conduct a brief, in-ear hearing test. It measures how a user’s eardrum responds to different frequencies and then intelligently adjusts the sound signature to compensate for any dips or peaks, ensuring the audio is perfectly tailored to their ears. This process is automatic, affordable, and, most importantly, doesn’t require a deep knowledge of audio engineering. It’s a disruptive path that rejects the old-school audiophile’s pursuit of a “flat” frequency response, instead prioritizing a sound that is uniquely ideal for the individual, delivered through a sleek, lightweight form factor.

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: Grok and I had this future-oriented conversation last night (8/21/25) and this morning. In the course of the discussion, I brought up the idea of “i-glasses (integrative glasses),” which we defined* as a wearable computing system centered on AI-powered smart glasses, augmented by a bridge unit (a compact, external compute device) and eventually integrated with radar transceivers, drones, and accessories such as haptic gloves and body sensors. In time, the functions of the bridge unit would be wholly incorporated into the glasses. -js

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By Jim Shimabukuro (assisted by Grok)
Editor

[Related: Mar 2026, Jan 2026, Dec 2025, Nov 2025, Oct 2025, Sep 2025]

1. Federated Learning: The Quiet Revolution in Privacy-Preserving AI

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: The trend of AI romance stories on social media and YouTube began gaining noticeable momentum around late 2022 to early 2023, coinciding with the public launch of advanced generative AI like ChatGPT. By 2024, it had matured into structured content like AI-narrated shorts and vlogs, with viral examples on TikTok and YouTube. Overall, while not yet mainstream like traditional romance content, the niche is expanding due to loneliness trends and AI’s accessibility, with forecasts suggesting it will accelerate in 2025 as tools improve.

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By Jim Shimabukuro (assisted by Google AI)
Editor

Introduction: In my conversation with Copilot this evening, I learned the word “riff.” From his usage, I assumed it means to collaborate in depth. I googled “riff” and got the following from different searches. -js

In the context of chatbots, “riff” refers to the ability of the chatbot to elaborate or improvise upon a given idea or topic, extending the initial concept into new variations and developing different aspects of it. It’s essentially the chatbot’s capacity to go beyond a straightforward, pre-programmed response and generate more dynamic and human-like output based on the user’s prompt. 

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By Jim Shimabukuro (assisted by Grok)
Editor

Introduction: Grok and I had this conversation earlier this evening. It began as a brook about iPhone’s camera advances, flowed into a stream, a convergence of smartphones and traditional cameras, then merged into the river that is AI. I had my first chats with Grok earlier this morning, and, by this evening, we were conversing comfortably. (At the end of this river is the ocean, and we can barely imagine what that will be like.) Please join us on this brief journey, especially if you’ve found yourself wondering where photography is headed and how it’ll fit into the AI trajectory. -js

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By Jim Shimabukuro (assisted by DeepSeek*)
Editor

Introduction: In this article, DeepSeek plays the role of Lao Tzu, the 6th Century BCE Chinese philosopher who sits for a TV live interview in August 2025. The topic is conflict between powerful states and the potential role that AI might play, but Lao Tzu’s insights transcend the topic and illuminate a path for AI development as a whole. -js

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By Jim Shimabukuro (assisted by Grok*)
Editor

Introduction: I asked Grok to adopt the role of a sage from antiquity, Aristotle, the Father of Rhetoric, and to appear in a live TV interview on the topic of AI. I also asked Grok to create the image of Aristotle in this interview. -js

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

Introduction: ChatGPT-5 and I collaborated* on this article. We discuss the paywalls that limit access to professional journals that publish cutting-edge research articles in the various academic fields. We end with the realization that writers themselves hold the key to smashing paywalls that limit access to the few who can afford the high price of subscriptions. -js

When did web publishing begin to seriously challenge traditional hardcopy professional journals?

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

(Also see The Post-Writing Century.)

Introduction: ChatGPT-5 and I collaborated on this short story about Elena Vargas, Corporate Analyst, who illustrates what it means to “write” in the AI Century. The process has dramatically transformed what was once a laborious and time-consuming solitary act into an efficient, quick collaboration that maximizes AI power to take on the heavy lifting and free the human to lead and guide the team of AI bots. To write means to swat (Supervised Writing AI Team), and the human in this swatting process leads the team to the finished paper. This might seem far-fetched, but it’s already beginning to happen in corporate as well as government, academic, and personal environments. To complete this article, I’ve also been working extensively with other chatbots: Gemini, Copilot, Perplexity, and DeepSeek. I purposely didn’t involve Claude because I’ve been relying heavily on him for other articles these past few weeks. -js

Elena Vargas, Corporate Analyst at Prometheus, leaned back in her ergonomic chair, letting her gaze drift over the panoramic cityscape beyond the glass wall. The sun had barely crested the horizon, but Prometheus’s orbital control center was already buzzing. Forty-nine minutes. That’s all she had before the executive council connected via global feed.

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: Claude and I had a conversation this morning about how AI is beginning to disrupt not just the design but the very nature of personal computers such as laptops, desktops, and tablets. -js

JS: Personal computers — laptops, desktops, tablets — have changed little in the last five years while AI technologies have been growing exponentially. Can you imagine a point where AI will step in and begin to make disruptive changes in computer components and architecture to the point where the equivalent of today’s supercomputer will fit into a cellphone-sized device that nearly everyone will be able to afford?

Claude: Your question touches on a fascinating convergence that’s already beginning to unfold. We’re seeing early signs of AI driving hardware innovation in several key areas:

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By Jim Shimabukuro (assisted by Claude*)
Editor

Introduction

The artificial intelligence chatbot landscape in 2025 faces an unprecedented legal reckoning. As platforms like ChatGPT, Claude, Gemini, Perplexity, Copilot, DeepSeek, and You.ai have evolved from experimental curiosities to essential business tools, they’ve collided headfirst with copyright law in ways that threaten their fundamental operating models. The question is no longer whether these platforms infringe copyright—it’s how extensively they do so and what the consequences will be.

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

(Also see Chefs Using AI in Exciting New Ways.)

Introduction: ChatGPT-5 provides a ranked, up-to-the-minute snapshot (August 2025) of five AI innovations that are genuinely changing how the world invents food and beverages. -js

1) AI recipe–optimization engines at global CPG scale (Mondelez/Thoughtworks)

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The crime. In April 2024, a fake audio recording circulated online that appeared to capture a Maryland high school principal making racist and antisemitic remarks. Investigators later concluded the clip was an AI-generated deepfake created to destroy the principal’s reputation following a workplace dispute. The hoax triggered public outrage, threats, and significant disruption to school operations. While not a money-transfer scam, the case is instructive as a prosecuted, sentenced misuse of generative AI to deceive and cause harm—showing courts are penalizing AI-assisted deception. AP News

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By Jim Shimabukuro (assisted by Claude)
Editor

(Also see Algorithm of an Intentional Heart, The AGI Among Us, Close to You, Oregon Trail: Where Two Cultures Collaborate)

Introduction: In this sci-fi short story, I’ve asked Claude to adopt the persona of the main character, Kai. -js

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By Jim Shimabukuro (assisted by Claude, Perplexity, and Gemini)
Editor

(Also see Colossus’s Vitals from Aug. 16-22, 2025 and Disruptive AI Supercomputer Alternative in 10 to 15 Years.)

Introduction: This essay is written by Claude.* See the updates from Perplxity and Gemini after the end of Claude’s essay. -js

Picture this: You’re driving through South Memphis on a sticky August morning, past abandoned lots and weathered houses that tell the story of industrial America’s forgotten corners. Suddenly, you round a corner and there it is—a sprawling complex of industrial buildings humming with the kind of energy that makes the air itself feel electric. This isn’t just another tech facility. This is Colossus, Elon Musk’s audacious bid to build the world’s largest AI supercomputer, and it’s probably the most fascinating—and controversial—thing happening in artificial intelligence right now.

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By Jim Shimabukuro (assisted by Perplexity)
Editor

[Related: July 2026, 22 Feb 2026, Oct 2025, Sep 2025]

2025 Rank: Top Countries Leading the World in AI Research & Development

This list presents the most internationally recognized leaders in AI research & development for 2025, referencing their companies and key individuals, and capturing each country’s unique advantages and global impact in the AI landscapepe.arapackelaw+13

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The crime. Hong Kong police in late 2024 and early 2025 dismantled multiple syndicates that used AI face-swapping/deepfake tech to run romance-turned-investment scams (“pig butchering”). The groups reportedly operated out of industrial spaces, used deepfaked profiles and live “video” to build trust, and then funneled victims to bogus crypto or FX platforms.

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: This story is told by Claude.* -js

In the gleaming conference rooms of Silicon Valley’s most prestigious AI companies, a young Indian engineer named Aravind Srinivas was watching the future unfold. It was 2021, and the 27-year-old PhD from UC Berkeley had just spent years rotating through the holy trinity of artificial intelligence research: OpenAI, Google DeepMind, and back to OpenAI again. He had seen the inner workings of ChatGPT before the world knew its name, witnessed the transformer revolution firsthand, and absorbed the cutting-edge research that would soon reshape human knowledge.

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By Jim Shimabukuro (assisted by Gemini)
Editor

For this survey, I asked seven chatbots — Gemini, DeepSeek, You.com, ChatGPT, Copilot, Perplexity, and Claude — to rank the same seven chatbots, including their own. I weighted each 1st selection as 7 points, each 2nd as 6, etc. Each chatbot received 7 rankings.

The runaway favorite for academic papers was Perplexity with 47 points (six 7s and one 5). The second and third were Claude with 33 and Gemini with 31. Here’s the complete rankings: (1st) Perplexity 47, (2nd) Claude 33, (3rd) Gemini 31, (4th) Copilot 23, (4th) You.com 23, (5th) ChatGPT 21, (6th) DeepSeek 18.

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By Jim Shimabukuro (assisted by You.com)
Editor

Introduction: These reviews collectively indicate that while ChatGPT-5 represents a significant technical advancement—especially in reasoning, accuracy, and research support—it also introduces new complexities, retains some persistent limitations, and raises important questions about user experience, trust, and ethical deployment. -You.com

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The crime & method. Reported in August 2025, an elderly couple received a call from someone who sounded like their grandson, claiming he’d been in a serious crash and jailed for DUI after hitting a pregnant woman. A supposed “official” then demanded $9,000 in bail, arranged an Uber/Lyft pickup to the bank, and later pressed for another $9,000. The station noted the use of AI to mimic the grandson’s voice and the practice of scraping social media to generate a convincing clone. WGAL

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The crime. In January 2024, a finance staffer in the Hong Kong office of Arup, the global engineering group, received what looked like a legitimate email and invitation to a video meeting with the firm’s UK-based chief financial officer and several colleagues. On the call, everyone appeared and sounded exactly like familiar executives—except they weren’t.

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By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: In this follow-up to Oregon Trail: Where Two Cultures Collaborate, I worked with Gemini* to detail how the Fletchers (a fictional family) settled in Tualatin Valley, which is in the Willamette Valley, Oregon. -js

Traveling approximately 15 miles per day on average, the Fletchers’ 2,000-mile journey from Independence, Missouri, took approximately five months to complete. When they finally reached Oregon, their primary destination was the Willamette Valley.¹ In 1850, the Oregon Territory comprised the entirety of the modern states of Oregon, Washington, and Idaho as well as portions of present-day Montana and Wyoming that lie west of the Continental Divide. The official end of the trail was Oregon City, located at the northern end of the valley, and many people initially gathered there.²

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By Jim Shimabukuro (assisted by ChatGPT-5)
Editor

Why We Need a New Term

In the world of e-commerce, we talk about “marketplaces,” “platforms,” and “fulfillment networks.” But these words miss the bigger picture: online shopping isn’t just about finding products — it’s a tightly connected loop of searching, purchasing, and delivering.

That’s why I’m introducing SBS™ — Shop · Buy · Ship. It’s a simple but powerful framework for understanding the entire commerce cycle, whether it’s controlled by one company or spread across many.

What Is SBS?

SBS™ (Shop · Buy · Ship) is the integrated process that defines how consumers discover products, pay for them, and receive them.

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By Jim Shimabukuro (assisted by Claude)
Editor

(Also see Oregon Trail: Fletchers Settle in Tualatin Valley, Algorithm of an Intentional Heart, The AGI Among Us, Close to You, Tea With Bachan: An Alien Lesson.)

Introduction: Yesterday, Claude and I collaborated* on a short story, told by Claude from the perspective of a twelve-year-old boy who is traveling the Oregon Trail in a wagon train in 1848. -js

My name’s Thomas Fletcher, but most folks just call me Tommy. Pa says I’m small for twelve, but I reckon I’m doing a man’s work out here, so that’s got to count for something.

We been on this trail near two months now, left Independence back in April when the grass was just starting to green up good for the oxen – though we got mules, not oxen. Pa says mules are steadier, don’t spook as easy. Every morning I’m up before dawn helping Pa check the harnesses and loading our gear back in the wagon. Ma and my sister Sarah, she’s fourteen, they pack up the cooking things and whatever we pulled out for sleeping.

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By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: I asked Claude to join me in exploring the idea of a smart stadium (s-stadium) for football (American) and soccer that is designed, from the ground up, to maximize the use of AI by coaches and staff to make on-the-fly decisions under game conditions. Realizing that the topic is complex and requires a number of subtopics, I decided that, instead of a single monstrous prompt, a systematic scaffolding of sub-prompts* might be the best approach. The result is this article, which is presented as an informal white paper, with the working title: “The S-Stadium: Designing the AI-Integrated Sports Venue of the Future.” The paper comprises five parts: Part I: Coaching Intelligence Feeds – The Foundation of S-Stadium Design. Part II: Architectural, Engineering, and Technological Systems. Part III: Mother – The S-Stadium AI Orchestration System. Part IV: ARIA – Autonomous Recursive Intelligence Architecture. Part V: Feasibility Analysis – The Reality Check. Epilogue: The Catalyst Factor. -js

The S-Stadium: Designing the AI-Integrated Sports Venue of the Future

An Informal White Paper on Ground-Up Smart Stadium Architecture

Executive Summary

The S-Stadium (Smart Stadium) represents a paradigm shift in sports venue design, where artificial intelligence systems are not retrofitted additions but foundational elements that drive architectural and technological decisions from conception. This paper outlines the tactical video intelligence feeds that would define coaching capabilities in such a venue.

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By Jim Shimabukuro
Editor

In this 10-minute video posted on YouTube (on 8 June 2025 by the University of Toronto), Ilya Sutskever, co-founder and former chief scientist at OpenAI, speaks at the University of Toronto’s Spring Convocation (6 June 2025). His message: AI is rapidly creating a future that’s “really unprecedented and really extreme,” and the best way to prepare for it is to experience it firsthand, with our own senses, to get a feel for its potential to enhance our ability to learn and perform and to begin to grasp what that means for our future.

Sutskever’s remarks about AI begin at the 3:35 mark of the video below.

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By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: AI in the field of cyberjustice began to take off only a year ago, in 2024, so it’s a relatively new specialty. In this article, Gemini and I discuss the criminal and justice forces that are defining this field. -js

JS: Gemini, is it possible for criminals to use AI to profit from crimes with a good chance of avoiding arrest?

Gemini: Yes, it’s possible for criminals to use AI to profit from crimes with a good chance of avoiding arrest.¹ AI significantly enhances criminals’ capabilities by automating and scaling illegal activities, making them more sophisticated and harder to detect.² It lowers the barrier to entry for many types of crime, allowing individuals with limited technical skills to execute complex schemes.³

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: In this conversation, ChatGPT and I discuss the idea of extending AI into prisons to boost their rehabilitation mission. Apparently, scattered attempts have been made in limited programs, but there are no clear prototypes for the comprehensive model that we envision. Our opinion is that the benefits, in terms of rehabilitation and compassion, far outweigh the costs and effort. -js

JS: Hi ChatGPT. Let’s dive into the current or potential uses of AI/chatbots in the treatment and rehabilitation of people behind bars or at risk of being there. Is this idea currently being applied or explored in justice systems in the US and world? It seems like a natural trajectory for treating those struggling with what appears to be self-control. If it’s not being considered, what are your thought on its potential? Advantages? Obstacles and possible solutions?

ChatGPT: Hi James! This is an incredibly important and emerging area, and you’re absolutely right: the integration of AI/chatbots into criminal justice reform—especially in treatment and rehabilitation—feels like a natural and overdue step. While it’s still early days, there are a few promising initiatives underway, and the potential is significant.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: In this conversation, ChatGPT and I are taking a fifteen-year journey into the future, to the year 2040. He’ll be adopting the persona of ʻIlima, a senior at the University of Hawaiʻi at Mānoa, who will be telling us about the University’s huli, or transformation, and how she’s preparing for a career that will secure her financial future as well as her cultural heritage. She’ll also be introducing us to classmates and alumni who are traveling similar but different paths. The focus is on Hawaii, but comparable changes have been occurring in higher ed throughout the US and the world. -js

JS to ChatGPT: Let’s dive into your Model College of 2040 idea. Set this discussion in 2040, 15 years from now. You’ll be the persona, ʻIlima, a female and a senior at the University of Hawaiʻi at Mānoa. You’re part-Hawaiian and part-Asian. UHM, like other colleges across the country and much of the world, has succeeded in radically altering the structure and purpose of college to align programs of study and internships with real-world jobs that provide excellent benefits and salary trajectories that grow from satisfactory to good with experience and performance.*

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: ChatGPT and I looked at the numbers and percentages of four generations (Boomers, Gen X, Millennials, Gen Z) of college graduates and their relative success in the job market. Join us in our conversation as we dive ever deeper into the data and discover a growing crisis. The outlook appears dire, but it’s fixable. It’s a DIY project, and colleges and universities are actually in an excellent time and place to reverse the trend. -js

JS: Can you dig deep for data on the number of college grads who completed their degrees in spring 2024 who are now, a little over a year later, working in jobs that are paying what’s considered a “good” salary? Also, set a figure for what’s considered “good.” How many students graduated in spring 2024? What percentage is earning a “good” salary? Please append an annotated list of references, in APA style, that informed your responses.

ChatGPT: Here’s a detailed summary based on the latest available data:

🎓 1. Estimated Number of Spring 2024 College Graduates (Bachelor’s)

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By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: My conversation with Gemini began with STEM and moved to: prestige vs non-prestige colleges, non-STEM majors, medicine/nursing, business, soft skills, and transparency of post-graduation salary statistics. We managed to clarify some of the nuances and issues but hit a wall with the issue of greater transparency. -js

JS: Gemini, can you review available data to determine, with some degree of reliability, which colleges are turning out, in proportion to their student population, the greatest number of graduates who are being employed after graduation at the highest salary levels? Let’s limit this survey to US colleges. I realize data may be scarce for some or many colleges, so let’s look at institutions that have data. We can also assume that if the number and prestige of colleges surveyed is low, our generalizability may be compromised.

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: My conversation with ChatGPT began with AI in music and branched into film, dance, animation, and, eventually, the speed of change that’s bypassing most schools and colleges. The early adopters are primarily the young and artists who are learning and practicing their skills independently, creating AI-assisted works with their laptops and personal links to the web. Some institutions are integrating AI into their fine arts programs, but they are the exception. -js

JS: What are some of the most popular ways that musicians, in one or more genres, are using the latest in AI technology? Can you identify some of the major pioneers and how they’re using AI? Are audiences attracted to AI-assisted music?

1. AI-Assisted Composition & Songwriting

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: For this article, I asked ChatGPT* to adopt the persona of a 12-year-old, sixth-grade girl and to share how she uses AI as a homeschooler. ChatGPT chose the name “Emi” and Honolulu for the setting. The purpose of this article is to show how AI is being used or could be used in homeschooling. Far from being isolating and monotonous, homeschooling could be exciting and dynamic. The images were generated in ChatBox. -js

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By Jim Shimabukuro (assisted by Perplexity)
Editor

Introduction: Kai is a character I created with Perplexity.* He’s a college freshman at Oahu’s Leeward Community College taking English 100, a required course, and tells us, in his own words, what he goes through to complete his first paper with the help of ChatGPT. In the process, he learns there’s a way to go about writing a paper, and it works. I created the images with ChatBox. -js

So, here’s Kai, in his own words:

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By Jim Shimabukuro (assisted by ChatGPT)
Editor

(Also see Libraries: An Evolving Sanctuary for Coping With Social and Information Gaps.)

Introduction: I collaborated with ChatGPT for this report on the status of state, community, school, and college libraries. The conversation, below, took us from libraries reinventing themselves to all‑digital public library systems, from ROI to who uses the library, and from digital vs. traditional libraries to liberal vs. conservative opinions on libraries. -js

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