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
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
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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
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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.
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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
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: Jan 2026, Dec 2025, Nov 2025, Oct 2025, Sep 2025]
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Educational Technology and Change Journal 
