By Jim Shimabukuro (assisted by You.com)
Editor
Summary: Here are summaries of three of the latest (2025) articles that explain the concept of “agentic AI,” each selected for their recency, relevance, and depth of explanation. They collectively cover its definition, core concepts, practical applications, and strategic importance for businesses and society .
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By Jim Shimabukuro (assisted by ChatGPT)
Editor
Here’s a rank-ordered comparison chart of 15 of the most popular AI chatbots (as of Sept 2025), focused on whether their latest-news/web search capability is available in free vs. pro tiers, along with approximate costs and what that access looks like.
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By Jim Shimabukuro (assisted by Copilot)
Editor
Introduction: Copilot and I had this discussion earlier today. The purpose was to dive deeper into the emerging sense that our perceptions of collaboration and loyalty are changing, fueled by increasingly fluid social networks and the tsunami that’s AI. We ended where the implications might begin, to give us time to marinate the ideas we covered. -js
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“CPUs typically have between eight and 64 cores optimized for performing sequential computing tasks. GPUs can host thousands of smaller cores that operate in parallel to handle massive amounts of data in a shorter time period…. They can run through vector calculations, image and video processing tasks, and data transformations all at once, which is something a CPU couldn’t match” ServerLift, 25 Aug. 2025).
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By Jim Shimabukuro (assisted by ChatGPT, Copilot, DeepSeek, Grok, Perplexity)
Editor
Introduction: It’s a fascinating time in AI, where the big names are household fixtures but the real intrigue is happening just off the main stage. The field is so vast now that true innovation is coming from specialists who have been quietly building in a specific niche until their work suddenly becomes indispensable to everyone. Based on that, here are the most intriguing new faces making waves in September 2025. The fifteen were selected by five chatbots–Grok, DeepSeek, Copilot, ChatGPT, Perplexity–and they appear in the order they were submitted. -js & DeepSeek
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By Jim Shimabukuro (assisted by ChatGPT-5 and Grok)
Editor
Introduction: This conversation began with ChatGPT. I was curious about university libraries and the range and depth of curated resources that would be accessible via AI chatbots. I assumed the results would determine, to a large extent, the quantity and quality of research students and faculty would be able to produce. The discussion brought us to the realization that AI alone would not offset the information access advantage of top-tier institutions. The imbalance would remain. We then pursued a best-case scenario that might eventually level the playing field. At the end of the conversation, I appended a discussion with Grok about the budget disparities between top- and mid-tier universities. -js
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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 Claude)
Editor
[Also see Status of Artificial General Intelligence (Nov 2025): ’embodied reasoning’, Status of Artificial General Intelligence (AGI): October 2025, When Will AI Surpass Humanity and What Happens After That?, Algorithm of an Intentional Heart, Close to You, Tea With Bachan: An Alien Lesson, Oregon Trail: Where Two Cultures Collaborate]
Introduction: Claude and I collaborated on this short story about a time not too far in the future when AGI (Artificial General Intelligence) AI robots are beginning to replace narrow AI robots. How might this play out? -js
Unit-47 arrived at Pinnacle Solutions on a Tuesday morning, wheeled in on a delivery cart like a piece of office furniture. The receptionist signed for him with the same casual attention she’d give to a new printer, then pointed toward the elevator. “Forty-seventh floor,” she said, not looking up from her phone.
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By Jim Shimabukuro (assisted by DeepSeek)
Editor
Introduction: This is DeepSeek‘s choice for the vision that’s most compelling in the development of AI. -js
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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
Filed under: Uncategorized | 1 Comment »
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 Perplexity)
Editor
(Related: Feb 2026, Jan 2026 Dec 2025, Nov 2025, Oct 2025)
The three most pressing decisions facing the global field of AI in September 2025 center on international governance, real-world implementation of new regulations, and the urgent race to balance innovation with responsibility. Each decision is framed as an open-ended question:
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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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Educational Technology and Change Journal 
