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
Image created by Copilot.
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.
Introduction: This is Copilot‘s choice for the vision that’s most compelling in the development of AI. -js
In rural Mongolia, nomadic herders are using AI-enhanced satellite imagery and predictive models to anticipate weather shifts and optimize grazing routes. Image created by Grok.
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
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.
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
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:
How should the world structure AI governance to ensure both innovation and collective safety, following the recent UN General Assembly decision to create global oversight panels?
Will major companies and nations implement meaningful, enforceable AI governance to comply with the new EU AI Act and similar regulations—or will compliance remain superficial?
Can the international AI community overcome short-term competitive pressures to prioritize responsible development, given the accelerating risks of rapid deployment without oversight?
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
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
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.
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:
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.
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.
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.
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.
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
Image by Grok
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.
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
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
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
Educational Technology and Change Journal 
