Space Colonies: Musk, Bezos, and More (Oct. 2025)

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Introduction: I prompted ChatGPT: Get me up to speed on Elon Musk’s and Jeff Bezos’ outlooks for future space colonies. For each, explain their plan, rationale, initial steps, why it matters to the rest of us, time frame to launch, major obstacles, and your opinion on the ultimate value and probability for success. Follow-up prompts: (1) Is there a 3rd vision re future space colonies lurking in the background that we should be aware of? If yes, please explain. (2) In the Musk-Bezos vision, humans are a central focus. Are they (or anyone else) considering the possibility of focusing on AI robots instead of humans, and what are the advantages/disadvantages of robots? Following are ChatGPT’s responses. -js

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Ethical Violations in LLM Applications Generalizable Beyond Mental Health Practice

By Jim Shimabukuro (assisted by Claude)
Editor

Introduction: I submitted the following prompt to Claude: Please review “How LLM Counselors Violate Ethical Standards in Mental Health Practice: A Practitioner-Informed Framework” by Zainab Iftikhar et al. (Brown U). See the PDF from the proceedings for AIES 2025. Determine whether the “violations” of ethical standards in mental health practice are generalizable to other fields or topics. I found them applicable, in general, to education and other topics and to most chatbots but want another opinion. Claude’s response follows. -js

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Are Interstellar Visitors Really Alien Ships?

By Harry Keller
Science Editor

Ever since ‘Oumuamua visited our solar system in 2017, interest in possible extraterrestrial visitors has surged. So far, astronomers have identified three such interstellar visitors, far more tangible than any UFO sighting. The official name for ‘Oumuamua is 1I/‘Oumuamua. The “1” means it’s the first interstellar object discovered. The “I” indicates its interstellar origin.

“‘Oumuamua is the first confirmed object from another star to visit our solar system.” –NASA
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Professors Embrace AI in Their Personal and Professional Life (Oct. 2025)

By Jim Shimabukuro (assisted by Grok)
Editor

[Also see the reports from Dec 2025Sept 2025July 2025]

Several college professors integrate AI into facets of their professional lives beyond the classroom, from accelerating groundbreaking research to streamlining creative workflows and even enhancing personal pursuits. These stories reveal AI not as a distant novelty but as a quiet collaborator that amplifies human ingenuity.

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Some of the Most Exciting GenAI Innovations Are in Games (Nov. 2025)

By Jim Shimabukuro (assisted by Gemini)
Editor

[Also see Status of AI in Video Games: Mid-2025]

The nature of cutting-edge AI innovation means that specific, named games releasing in November 2025 with publicly attributed individuals are often kept under tight wraps by major studios. However, the data points to three dominant AI-driven innovation trends that are redefining the video game landscape in late 2025, which can be tied to major games and responsible entities. These trends are not isolated features but fundamental shifts in how worlds are created and how players interact with them.

Grand Theft Auto VI (Rockstar Games)
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Status of DEI in Higher Education: November 2025

By Jim Shimabukuro (assisted by ChatGPT)
Editor

[Also see Status of DEI in Higher Education: October 2025]

Between October and November 2025, the DEI landscape in higher education has moved from uncertainty to crisis. The five issues identified in the October report remain intact, but the urgency has sharpened. Federal enforcement, state-level restrictions, and financial leverage now converge to threaten the operational core of equity work across American campuses.

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Ed Tech in Higher Ed: Three Issues & Strategies for Nov. 2025

By Jim Shimabukuro (assisted by Copilot)
Editor

[Also see Educational Technology in Higher Education: Five Issues & Strategies (Oct. 2025)]

The three most pressing educational technology issues in higher education for November 2025 are: (1) navigating generative AI’s impact on academic integrity and pedagogy, (2) rebuilding trust in digital learning systems amid rising skepticism, and (3) addressing the digital equity gap in hybrid and AI-enhanced environments. Included for each are suggested strategies and models.

Resource: Dr. Ethan Mollick, Ralph J. Roberts Distinguished Faculty Scholar, Associate Professor of Management, Co-Director, Generative AI Labs at Wharton, Rowan Fellow (Wharton)
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Teens Impacting AI

By Jim Shimabukuro (assisted by ChatGPTCopilotDeepSeekGeminiGrok)
Editor

Introduction: I asked chatbots — ChatGPT, Copilot, DeepSeek, Gemini, Grok — to identify teens who have impacted the field of AI. These are their selections, in alphabetical order. -js

Emma Yang (Timeless website).
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Under-Radar AI Disruptors (Projections from Late-Oct. 2025)

By Jim Shimabukuro (assisted by Claude)
Editor

These five developments—neuromorphic computing, hybrid quantum-AI systems, AI protein engineering, retrieval-augmented generation, and edge AI semiconductors—share a common theme: they represent architectural innovations and practical deployments rather than incremental improvements in model size or capability. While the media focuses on the latest chatbot features or generative AI controversies, these quieter developments are building the infrastructure and capabilities that will define AI’s next decade. Their impact may only become apparent in retrospect, but the groundwork being laid in late 2025 positions them to transform industries throughout 2026-2028 and beyond.

Lila Tretikov, Partner and Head of AI Strategy at New Enterprise Associates
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Amazon Layoffs Are the Tip of the Iceberg

By Jim Shimabukuro (assisted by Claude)
Editor

The headline that greeted readers on October 28, 2025, felt both shocking and inevitable: Amazon, one of the world’s largest employers, was eliminating 14,000 corporate positions.* Yet this announcement represents far more than a single company’s cost-cutting measure. It is the latest and most dramatic chapter in a fundamental transformation sweeping through American industry, where artificial intelligence is not merely changing how work gets done but redefining which jobs exist at all.

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Government AI Initiatives to Reduce Wait Lines

By Jim Shimabukuro (assisted by Copilot)
Editor

Introduction: As of October 28, 2025, these are the top ten 2025 initiatives, in rank order, across federal, state, and city levels that use AI to cut waiting lines and improve public service delivery.

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AI in Sports: Update Oct. 2025

By Jim Shimabukuro (assisted by Gemini)
Editor

[Also see The Growing Trend of AI in Sports]

Introduction: On July 26, 2025, Gemini and I reported on The Growing Trend of AI in Sports. In this article, we provide some critical updates and include how they’re being applied in the case of athletes such as Shohei Ohtani and Cooper Flagg as well as coaches like UCF’s Scott Frost and McKenzie Milton. -js

WASHINGTON, D.C., APRIL 24, 2024 — Washington Nationals faced the Los Angeles Dodgers at Nationals Park. (Joe Glorioso/All-Pro Reels for Washington Times Sports)
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Predictions for the Arrival of Singularity (as of Oct. 2025)

By Jim Shimabukuro (assisted by ChatGPTCopilotDeepSeekGrokPerplexity, Claude, Gemini, Meta)
Editor

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

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AI PCs: A New Era of Personal Computing (Oct. 2025)

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.

Mark Haoxing Ren, Director of Design Automation Research at NVIDIA
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AI in Nov. 2025: Three Critical Global Decisions

By Jim Shimabukuro (assisted by Claude)
Editor

(Also see AI in Oct. 2025: Three Critical Global Decisions, AI in Sep. 2025: Three Critical Global Decisions)

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

Rob Bonta, California Attorney General
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Top 10 Countries in AI R&D (Oct. 2025)

By Jim Shimabukuro (assisted by ChatGPT)
Editor

[Also see Top 10 Countries in AI R&D (Aug. 2025), Top 10 Countries in AI R&D (Sep. 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

Arthur Mensch, co-founder and CEO of the Paris-based AI company Mistral AI. Photo by Slush.
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Five Top Ed Tech Stories in Late Oct. 2025

By Jim Shimabukuro (assisted by Grok)
Editor

[Also see Five Top Ed Tech Stories in Late Aug. 2025Five 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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Nov. 2025 – AI Developments in the US Job Market

By Jim Shimabukuro (assisted by ChatGPT-5GeminiCopilot)
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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Five Emerging AI Trends in Late-October 2025

By Jim Shimabukuro (assisted by Grok)
Editor

[Also see Five Emerging AI Trends in Nov 2025: ‘AI forgetting mechanisms’, Five Emerging AI Trends in Late-September 2025 and Five Emerging AI Trends in Late-August 2025]

The following are five under-the-radar AI trends for October 2025: Open-Source Fine-Tuning of Specialized Models, Decentralized AI Infrastructure, Agentic Systems Entering Production, Synthetic Data Markets for Privacy-Compliant Training, and On-Device and Hybrid Inference for Efficiency. Each essay explores what the trend is, when it began, who’s driving it, where it’s happening, and why it matters, ensuring distinct content from any previous mentions of August or September 2025 trends.

NVIDIA’s DGX Spark supercomputer launched October 15, 2025. 150mm L x 150mm W x 50.5mm H (5.91 inches L x 5.91 inches W x 1.99 inches H)
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Will the Chat-in-Apps Evolve into Apps-in-Chat?

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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What Can We Expect From Chatbots by the End of 2025?

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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A Historical Perspective on the Pushback Against AI

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.

Video created by Grok via an image created by Copilot.
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Yossi Matias Announces Google Breakthroughs (23 Oct 2025)

By Jim Shimabukuro (assisted by ChatGPT)
Editor

Yossi Matias

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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10 Critical Articles on AI in Higher Ed: Oct. 2025

By Jim Shimabukuro (assisted by Perplexity)
Editor

[Also see 10 Critical Articles on AI in Higher Ed: 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.

Marc Watkins, educator and researcher at the University of Mississippi 
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A Rusty Old Ford Truck: Toward a Swarm Model for “Teaching”

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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