Airline Pilot Pathway for a Hawaiʻi High School Student

By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: My grandson, who will be a high school senior in the fall, wants to be a commercial airline pilot, and heʻs begun the journey by exploring membership in the local Civil Air Patrol. The following is a career pathway suggested by Gemini. The specifics are geared to the island of Oahu, but the general path may be applicable to others in different parts of the country and the world. -js

Prompt: My grandson, who will be a senior in high school in the fall, has developed an interest in flying. Can you suggest a path of schooling and training on Oahu that will eventually lead to a license for piloting commercial passenger aircraft? A path that takes advantage of excellent but not-too-expensive opportunities in Hawaiʻi would be ideal.

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GAS Warfare: Human-AI Chat as Free-Form LEGO

By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: I got together with Claude this afternoon to deconstruct the rise of AI weapons in the Russia-Ukraine war. As usual, we ended up constructing a free-form projection of how it might play out. In the process, we probably ended up saying more about the power of human-AI interactions than the future of warfare. We had fun. -js

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AI Alpha-Portals and Right-Brain Prompt Engineering

By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: I collaborated with Gemini in this conversation on a chatbot’s role as an alpha-portal for countless other “media portals” such as teachers, books, and videos. This led to exchanges on the importance of increasingly sophisticated prompt engineering to maximize the value of chatbots. -js

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Review of “OpenAI (2023), GPT‑4 Technical Report” [4 March 2024]

By Jim Shimabukuro (assisted by ChatGPT)
Editor

(Also see A Review of Ouyang et al.’s 2022 Paper aka ‘InstructGPT’ and Must-Read Publications That Are Guiding Chatbot Development?)

Introduction: I collaborated with ChatGPT on this report. This is a follow-up to “A Review of Ouyang et al.’s 2022 Paper aka ‘InstructGPT’” (ETC, 29 July 2025). “OpenAI (2023)” clarifies the connection between InstructGPT and ChatGPT. -js

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A Review of Ouyang et al.’s 2022 Paper aka “InstructGPT”

By Jim Shimabukuro (assisted by ChatGPT, Gemini, Copilot, Perplexity, Pi, and You.com)
Editor

Introduction: I collaborated with ChatGPT, Gemini, Copilot, Perplexity, Pi, and You.com for this report. This is a follow-up to “Must-Read Publications That Are Guiding Chatbot Development?” (ETC, 20 July 2025). Of the 12 works selected, I felt that the InstructGPT paper (“Training Language Models to Follow Instructions With Human Feedback,” Ouyang et al., 2022) brings the reader up to speed in the least amount of time. The first review below, by ChatGPT, clearly and succinctly summarizes Ouyang et al.’s paper. For a slightly different angle, read the second review, by Gemini. For readers seeking a non-technical or summary-level understanding of how ChatGPT emerged from InstructGPT, I’ll be posting a follow-up review of OpenAI (2023), “Aligning Language Models to Follow Instructions” (4 March 2024). -js

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The New MOOC Is NOODLE?

By Jim Shimabukuro (assisted by Copilot)
Editor

Introduction: I had this conversation with Copilot a few minutes ago, curious about the possible connections between MOOCs and AI/chatbots. In education, it seems older theories don’t really vanish. Instead, they often reappear in fresh new clothes to define the latest fashions. So, how does AI meld with MOOCs to create the next step in ed tech? -js

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Could Ukraine Become the Israel of Eastern Europe?

By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: I had another wide-ranging discussion with Gemini this morning, which began with a question on NATO’s reluctance to provide the degree of assistance Ukraine needs to oust Russia from the territories they’re occupying and branched into a number of probabilities: An independent Crimea? Ukraine emerging from this war as a powerful military presence in Europe? Peace leaving Ukraine between a rock and a hard place? And Ukraine becoming the Israel of Eastern Europe? -js

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From More-Than-Moore to Nanoelectronics to Accessible Cloud-Based Quantum Computing

By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: On this quiet Sunday afternoon in humid Honolulu, I had another wide-ranging conversation with Gemini. I began as usual with a thought, this time about Moore’s Law and the progress of chip technology, and the conversation gradually flowed into other streams while maintaining the same general course. Come along for the ride. I had fun, and you might, too. -js

Gordon E. Moore, 2004.*
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Naoya Inoue’s Fights with Akhmadaliev and Nakatani: AI Predictions

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

Introduction: In this article, I asked ChatGPT, Gemini, and Copilot to predict the outcome of the Inoue-Akhmadaliev fight on 14 Sep. 2025 and the Inoue-Nakatani fight tentatively scheduled for May 2026. Naoya Inoue is currently the undisputed super bantamweight champion and #2 in the pound-for-pound rankings. His record is 30 wins, 0 losses and draws, and 27 KOs. Murodjon Akhmadaliev is the WBA interim super bantamweight champion with a record of 14 wins, 1 loss, 0 draws, and 11 KOs. (Note that Akhmadaliev lost a split-decision, for the only loss in his career, to Marlon Tapales. Inoue subsequently KOʻd Tapales, who had been the WBA and IBF super bantamweight champion, to become undisputed. Junto Nakatani is the WBC, IBF, and Ring Magazine bantamweight champion with a record of 31 wins, 0 losses and draws, and 24 KOs. See the prompt at the end of this article. -js

Here’s my in‑depth forecast for Inoue vs. Akhmadaliev (Sep 2025) and Inoue vs. Nakatani (May 2026)—based on records, styles, coaching camps, and analysis from respected observers.

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Min-jun and His AI Freshman Comp Chatbot

By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: Claude and I collaborated on this short story. See the prompt at the end. -js

The Writing Path

Min-jun stared at the bus schedule on his phone, calculating arrival times for the third time that morning. The September heat still clung to Chicago’s suburbs, but inside his chest, everything felt cold. Today was the first day of English 100, and despite acing calculus and physics placement exams, this single three-credit course terrified him more than organic chemistry ever could.

The number 42 bus wheezed to a stop, and Min-jun climbed aboard with his overstuffed backpack. As suburban strip malls gave way to the sprawling campus of University of Illinois Chicago, he practiced introducing himself under his breath. “Hi, I’m Min-jun. I’m an engineering major.” Simple words, but they still felt clumsy on his tongue after all these years.

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The Growing Trend of AI in Sports

By Jim Shimabukuro (assisted by Gemini)
Editor

[Also see AI in Sports: Update Oct. 2025]

Introduction: I interviewed Gemini for this article. -js

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Metaphors Shape Our Views of Chatbots

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: The original title of this article was “A Chat About Metaphors for Chatbots.” We say thinking in similes, metaphors, and analogies is poetic, and it is, but it is also our natural way to “make sense” (hmm) of the world around us. We categorize things we encounter by gauging their similarity to other things, but we find that the less obvious the outer similarities, the greater the insights we gain. As I become familiar with chatbots, I’ve been searching for comparisons that resonate for me. I turned to ChatGPT for ideas. -js

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A Chat About AI, Immigration, and Trump

By Jim Shimabukuro (assisted by Perplexity)
Editor

Introduction: I had a wide-ranging chat with Perplexity today (25 July 2025) that revolved around U.S. STEM leadership in academia and industry with a powerful undercurrent of conservative US immigration policy trends and the probability of their continued expansion in the post-Trump era. Here’s the conversation in an interview format.

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How Do Our Chats Improve Chatbots?

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: I know that our chats may be used by chatbots “as training data” to improve how “the models behave, reason, and respond over time,” but I didn’t know whether that “data” includes the actual content of our messages. Here’s what I learned from a collaboration with ChatGPT:

Prompt: Do the chats users create actually have the potential to improve the database accessed by the chatbot? That is, do our chats contribute, in the short- and long-term, to the improvement of chatbots?

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A Student-Chatbot Collaboration to Pass Freshman Composition

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: I worked with ChatGPT on this article about a hypothetical college freshman struggling to pass a required writing course. See the prompt at the end of the article. -js


Prologue: The Boy with the Blinking Cursor

When Malik Thompson stepped onto the campus of Western Plains State University last August, he brought with him two duffel bags, a cracked iPhone, and a quiet but persistent fear: that he wasn’t cut out for college writing.

He had passed his high school English classes—barely—and had relied heavily on late-night cramming and the kindness of teachers who knew he was working two part-time jobs. But now he was in a required first-year composition course with a syllabus full of words like “rhetorical situation,” “synthesis,” and “MLA citation.” From day one, Malik felt like he was drowning in expectations he didn’t understand.

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Three Chatbots With the Best Search Capabilities?

By Jim Shimabukuro (assisted by Copilot)
Editor

Introduction: Concerned about the timeliness of information Iʻve been receiving from chatbots, I collaborated with Copilot to come up with this list of the best search-augmented capabilities in the free versions of six chatbots. (See the prompt at the end of this article.) To stay current, they use search engines or APIs (Application Programming Interfaces) to fetch the latest information; perform real-time web searches to retrieve fresh content; and analyze the results, summarize or cite them, and blend them into the conversation. In rank order, the top three are Perplexity, Gemini, and ChatGPT. See the charts and explanations below.

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Maya, a Filipino-American Teenage Girl

By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: This short story was written by Claude (Sonnet 4) in response to a prompt I created, which appears at the end of the story. The purpose is to provide an example of Chatbot reach at this point in time. Equally important purposes are to highlight the richness that Filipino-American culture adds to the nationʻs fabric and to spotlight the use of AI in the lives of teens. I’ll be publishing other short stories from time to time.

Maya Reyes-Santos woke up at 6:47 AM to the gentle chime of her phone’s alarm, three minutes before her actual wake-up time—a buffer she’d programmed to ease herself into consciousness. Her room was a careful curation of her dual identity: a wooden bahay kubo replica her Lola had sent from Cebu sat on her bookshelf next to her collection of Studio Ghibli figurines, while polaroids of her friends at last month’s homecoming dance were tucked into the frame of her vanity mirror alongside a small Santo Niño statue her mother insisted she keep for protection.

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The Crucial Role of Rhetoric in Chatbotting

By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: The following is a transcript of a chat I had with Gemini in the late evening of 24 July 2025. Iʻm including it in its entirety to fit form to function, to demonstrate the give-and-take inherent in effective communication not only between human and chatbot but between any encoder and decoder. As I dive deeper into chatbots, Iʻm beginning to better understand the rhetorical context between human and AI, and not so surprisingly, itʻs basically no different than human-to-human interactions, and this mindset is arguably the first step toward successful chatbotting. -js

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Top Executive Movements Shaping the AI Industry

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: I collaborated with ChatGPT on this article, and it suggested the titles “AI Drama Is the New Silicon Valley” and “Soap Opera: As the Algorithm Turns.” The AI talent wars have become a strategic battlefield, and high-profile executive moves are shaping the race for AI supremacy as much as the models themselves. Below is a rundown of the most consequential, controversial, or “juicy” executive shifts (2022–2025), highlighting the drama, strategic value, and ripple effects across OpenAI, Google, Microsoft, Anthropic, Inflection, xAI, and others. (ChatGPT)

Prompt: In the race for AI supremacy, there seems to be a beehive of intrigue re executive movement among the competitive companies, with executives from one company moving to other companies etc. Can you provide a rundown of the juiciest movements based on their impact on the affected companies?

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Comparison Table for Nine Major AI Chatbots

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: Overwhelmed by the mishmash of players, companies, products, and services associated with chatbots, I collaborated with ChatGPT to develop a clarifying table. I hope this helps you as much as it does me. -js

Prompt: For chatbots such as ChatGPT, Gemini, Claude, Copilot, Pi, Poe, Perplexity, You.com, and DeepSeek, please identify the associated companies, major executives, and LLM engines.

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AI Future in the University of Hawaiʻi System

By Jim Shimabukuro (assisted by Gemini)
Editor

Introduction: This article is a collaboration with Gemini this morning (23 July 2025). Future projections could be considered whimsy, but theyʻre a fun way to switch our headlights to high to see farther down the road to tomorrow. To raise the fun factor, I decided to concentrate all future UH students into a single hypothetical student, Keani. The prompts below describe the parameters given to Gemini. The purpose of this article is to present a clearer, more vivid picture of how AI might impact students entering the University of Hawaiʻi System in fall 2025. Hopefully, itʻll shed some light on how educators at all levels can better prepare for the next decade. Although the focus is on the UH System, the projection may generalize to other colleges in the US and the world. -js

University of Hawaiʻi – Manoa
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Is AI Serving the Special Needs of People With Disabilities?

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: This article is a collaboration with ChatGPT. With the gigantic Air Jordan leaps we’re taking toward AI, we can’t help but wonder: Are people with special needs being neglected? Left behind? Or are we, as a society, making efforts to not only bring them along but developing innovative AI technology to address their needs? Perhaps the heart of the question is: Are we doing enough?

The following ChatGPT response is a recomposition, combining sections of the original raw responses from this afternoon with sections from the revised. I had asked for a report that combined the separate responses in paragraphs instead of outline format, and I specifically asked for “fluid and coherent” transitions, but this instruction turned into 60-grit sandpaper for some of the sections, removing the bumps and splinters that made the original text readable and dynamic.

As a result, sections of the revised text turned out to be too smooth and lifeless, having lost the raw character that gave them zing. So I cut and pasted ChatGPT’s original and revised outputs into a more lively whole. I did some reorganizing for fluency but left the text more or less intact. Takeaway: With chatbot instructions, we have to be careful about what we ask for. We might just get it. -js

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Professors Using Chatbots in Exemplary Ways

By Jim Shimabukuro (assisted by CopilotChatGPTGeminiPerplexity, DeepSeek, Claude, Pi, Poe, and You.com)
Editor

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

Introduction: I collaborated with nine different chatbots to come up with a list of college professors who are using them in their courses in exemplary ways. The purpose was to provide readers with concrete examples of chatbot use by professors in their courses. These examples, hopefully, will generate interest among educators to integrate AI strategies in classrooms.

A secondary purpose was to spotlight professors who are actively applying chatbots in their courses. They’re leading the way into the AI Century (2025-2075) and deserve recognition. I’m sure the chatbots have missed dozens if not hundreds of other professors who should have been on this list of 49. If you happen to be one or know of others, please let me know in the comments section attached to this article.

I asked each chatbot to identify ten. I ended up with 49 professors (teams were counted as one). Five appeared in two lists, and one appeared in three (Professor Ashok Goel, Georgia Institute of Technology). I eliminated items in lists that omitted professor names. I eliminated an entire list because the chatbot failed to include information requested in the prompt. One chatbot listed only two professors.

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Can OpenAI Really Keep Its Power Decentralized?

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: Yesterday and this morning, I’ve been chatting with ChatGPT re OpenAI’s power structure and its status as both a nonprofit and for-profit, focusing on its mission, which includes the statement “avoid enabling uses that would … unduly concentrate power.” I asked the chatbot to write an essay that covers our broad discussion, and I’m publishing it below pretty much as submitted. (I’ve added yellow highlights.) Since ChatGPT is an OpenAI service, I realize the potential conflict, but I’m proceeding with the intent to provide information that may be useful to readers, with the caveat to remain open and objective at the same time, i.e., to separate fact from opinion while gathering insights into arguably the most powerful force in AI and the reliability of chatbots in general.

Disclaimer: I am not affiliated with OpenAI or any of its partners. This article reflects my independent research and perspective, and is not endorsed, reviewed, or influenced by OpenAI in any way. -js

Prompt: Please provide a 2000-word summary of our chat, thus far, on OpanAI’s nonprofit and for-profit balance and its mission statement: “avoid enabling uses that would … unduly concentrate power.” Use a paragraph, essay instead of outline or bulleted format, and keep the tone conversational and informal rather than technical. Feel free to introduce new information to enhance the fluency and coherence of this paper. Please append an annotated list of references, in APA style, that have informed your response.

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Chatbot Choice for College President Most Successful in Advocating AI

By Jim Shimabukuro (assisted by CopilotChatGPTGeminiPerplexity,  Claude, and Pi)
Editor

Introduction: For this article, I collaborated with six chatbots: ChatGPT, Claude, Gemini, Copilot, Perplexity, and Pi to identify the college president most successful in advocating AI.

Prompt #1 (open-ended): Please identify the one college president in the country who is currently succeeding at doing the most to promote and apply AI at their institution. Describe this person in detail, providing concrete support for your selection. Use a paragraph and conversational style instead of a bulleted outline. Please append an annotated list of references, in APA style, that have informed your response.

The results for prompt #1:

Darryll J. Pines, Connie Ledoux Book, Ross Gittell, Joseph E. Aoun, José Luis Cruz Rivera
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