How the chatbot prompt broke the traditional model of the writing process, and what a transparent replacement will require
On October 19, 2026, Google began rolling out a feature for teachers who assign Gemini Notebooks through Google Classroom. Teachers now receive an AI-written summary of how a class engaged with an assigned notebook, a sample of common questions and areas where students may need support, and, for each student, the full chat transcript “for additional context and to confirm the accuracy of AI provided insights” (Google Workspace Updates, 2026). Students see a notice that their conversations are visible. Brit Mennuti, Google Classroom’s product lead, told EdTech Magazine what that notice says: “When students interact with these teacher-led AI experiences, there’s a prominent banner in the Gemini app or Gemini Notebook that lets them know: Your teacher can see what you’re doing here” (Stone, 2026).
What recent research says about whether AI can argue a thesis on a contested question
The Hypothesis
The one thing AI can’t seem do as a writer is develop a compelling thesis or position on a controversial topic. Apparently, their training and programming predispose them to find and defend the middle ground, and this tendency removes the motivation a writer needs to take a position on a hotly contested issue and argue it. Is this hypothesis valid?
Genie 4: Google’s world model now talks back Google DeepMind launched Genie 4, an interactive world-building model capable of generating explorable virtual environments in real time from text prompts. Upgraded from prior versions, Genie 4 introduces native, synchronized audio and spatial dialogue alongside real-time steering mechanisms powered by underlying Gemini models. The addition of native multi-modal feedback (audio and real-time environment steering) marks a crucial leap toward physical world simulations for robotics training, spatial computing, and synthetic environment generation. Garg, N. (2026, October 27). Genie 4: Google’s world model now talks back. CellCog. https://cellcog.ai/blog/genie-4/ (Gemini)
Shrinking workforces and a political backlash against immigrants have made machines look like the answer. The evidence supports that bet in factories and fields, and much less in the jobs immigrants most often hold.
SpaceX carries most of the world’s mass to orbit. On top of that one fact, Musk has stacked Starlink, an AI company, chip factories, robots, a planned million-satellite computing network, and a renewed push for the Moon. Here is what is real, what is scheduled, and what is still a promise.
Dmytro Korchevskyi, who founded school and IT-training networks based in Ukraine, predicts an uncomfortable reversal of the usual promise of educational technology: inexpensive artificial intelligence will become widely available, while sustained attention from a qualified human teacher may become the scarce resource. In his Fortune commentary, the danger arises from two pressures working together. The price of AI assistance is falling, while hiring, training, and retaining teachers remains expensive. The temptation for cash-strapped systems will be to distribute chatbots instead of providing enough teachers (Korchevskyi, 2026).
Three news items from October 23 and 24, from Chapel Hill, Austin, and Seattle. Each one moves AI a step closer to a role that people used to hold: the judge who questions a student, the analyst who sizes up an athlete, and the specialist who drafts a child’s education plan. At UNC, a ChatGPT-powered bench reached the right verdict and scored 1.5 out of 10 on conversation. Plus: Texas turns its athletes into a data lab, and a K-12 vendor hands districts the keys to build their own AI.
Suevon Lee’s report from Massachusetts captures a new competition among American colleges: more than 100 universities now offer an undergraduate artificial intelligence major, nearly twice the number recorded a year ago (Lee, 2026). Bentley University has gone from a handful of students when its major began in 2024 to nearly 100 today. MIT’s AI and Decision Making major enrolls 354 students and ranks second in popularity there. Worcester Polytechnic Institute has opened a bachelor’s program with 11 focus areas; Northeastern has renamed an existing data science degree to emphasize AI. For administrators trying to attract students worried about their careers, the label has become an advantage in recruitment.
Three news items from the past two days, from San Francisco, Ann Arbor and a joint campus in Hebei Province, China, ask what students still have to do for themselves when AI is in the room, who decides the rules for using it, and whether AI education can cross borders that governments are starting to police. The first story supplies today’s title. A reporter in San Francisco found teachers pulling the take-home essay to keep AI out, and the numbers he gathered suggest students were already writing less well before ChatGPT arrived. The second story follows the University of Michigan as it writes campus-wide AI principles. The third follows a Scottish university opening an AI college in China two weeks after Britain’s security service warned universities about Chinese espionage.
I asked five chatbots to predict the year for AGI’s arrival, and these are their responses. Arguably the more interesting aspect of their choices is the explanations and factors they considered. In aggregate, we come away with a wider and broader perspective of the forces that are shaping our journey to not only artificial general intelligence but to its implications. The predictions range from 2031 to 2045, but the median is 2032. Thus, in approximately seven years, we may be at a point where a machine can match capable humans across essentially the full range of cognitive work.
Three developments in the United States and India expose a shared difficulty: schools can now distribute access to AI faster than they can agree on what students should learn, demonstrate, and retain. The question connecting them is how to recognize real achievement when capable software participates in producing the work.
Three Stories is a new ETC Journal series that takes three recent news items and asks what each one means for schools and colleges. The three stories in this first installment were all published on October 19, 2026, and each looks at the same problem from a different position. Two veteran school designers argue that AI will change little in American classrooms as long as schools keep the schedules, credits, and funding rules of the industrial era. A Lumina Foundation–Gallup survey of 2,500 employers finds hiring managers holding onto the college degree while most of the public doubts it. And Singapore’s government has committed to 3,000 year-long internships because AI is absorbing the routine tasks through which young engineers used to learn their trade.
In early October 2026, the Big Lever Institute (BLI) launched its online learning community to the public, offering free, un-paywalled cohorts designed to cultivate adult talent in AI systems and entrepreneurial operations. What sets the institute apart is not merely its non-profit, 501(c)(3) legal framework or its subsidy model underwritten by private equity due-diligence work. Rather, its most radical feature lies in its operational footprint: a core human team of just two to ten employees running a sprawling educational organization without an expensive administrative apparatus. This operational leverage—termed the ‘AI multiplier’—relies deeply on agentic automation. By deploying custom AI agents that manage grading feedback loops, document generation, community moderation, and administrative triage, the institute collapses the traditional marginal cost of serving additional students toward the bare cost of cloud computing APIs (Big Lever, 2026).
Award winners, viral bestsellers, and disputed cases are changing fiction publishing. The most intriguing AI-era novels are not necessarily the ones written most extensively by a machine. They are the books that readers actually finish, prize juries recognize, or publishing houses believe they can sell. Their importance lies in what they reveal about authorial control, changing production costs, and the difficulty of establishing how a contemporary manuscript was made.
Nine months ago, on January 27, ETC Journal published “AI Is Reshaping Scientific Publishing and What Comes Next.” That article, built around a Berkeley Haas report on a December 2025 study in Science, argued that large language models (LLMs) were driving up paper counts, weakening the signals reviewers use to judge quality, and straining peer review. It ended by saying the next two years would show whether the research system could change “rapidly and thoughtfully enough to preserve scientific integrity while adapting to technological realities” (Shimabukuro, 2026).
For 18 Oct 2026, 12:37AM HST, Sunday (updated 18 Oct 2026 at 1:10AM, 8:00AM HST)
Low-quality AI “slop” websites grew more than fivefold in a year, ad data show (Claude) Domains filled with low-quality AI-generated content grew more than five times over in the second quarter of 2026 compared with a year earlier, and traffic to them roughly quadrupled, according to data from ad-measurement firm DoubleVerify reported by Axios. Monthly ad requests on these pages rose from 184 million in January to 834 million in September. Axios says generative AI makes such content farms cheap to run, and that the race to shape what chatbots recommend has made search’s old incentive problems worse. Students and teachers who search for sources now meet more machine-made filler, which makes checking where information comes from a core part of teaching reading and research. Source: Axios, “AI slop websites rise fivefold with GEO optimization,” published October 17, 2026, 5:58 a.m. HST. https://www.axios.com/media-trends-membership/2026/10/17/ai-slop-geo-content-farm-recommendations
This update to ETC Journal’s November 2025 review of Kestin et al. revisits what the study established, what it left open, and what a year of larger field trials has added.
For 17 Oct 2026, 12:58AM HST, Saturday (updated 17 Oct 2026 at 1:14AM HST)
Nearly 30% of 2026 STEM dissertations show AI-generated text, Nature reports (Muse) A Nature news story on October 16 covered a working paper analyzing more than 226,000 US STEM dissertation abstracts from 2019 through May 2026. It found 29.4% of abstracts filed in the first five months of 2026 contained AI-generated text, up from 1.7% in 2023 and 18.8% in 2025, with math and computer science highest at 36%. Graduates whose abstracts showed AI assistance were 17% less likely to be employed in academia and 16% more likely to work in industry. Co-author Daniel Gross cautioned that students who offload half the work may lack the depth to become good scientists. For graduate programs, the numbers put a scale on a problem most have only sensed — and the career split raises questions about what doctoral training is for. Source: Nature, published 10/16/2026 — https://www.nature.com/articles/d41586-026-03253-2
In February, ETC Journal published two companion articles on the state of American public schools. The first described a system that was “not in free fall, but it has not fully recovered from the shocks of the pandemic and the political turbulence of the past decade” (Shimabukuro, 2026a). The second traced the decline back to a peak in student achievement in 1967 and closed with a harder judgment: “we’ve been trying to fix a system that may have been fundamentally misaligned with student needs even during its supposed golden age. The factory model worked well enough for an industrial economy, but it’s unclear whether it ever truly served the full range of human learning potential—and it’s certainly inadequate for today’s world” (Shimabukuro, 2026b).
Dutch education minister calls AI-written theses fraud after TV scan of student work (Claude) Dutch broadcaster RTL Nieuws scanned hundreds of recent master’s theses from 12 universities with the AI detector Pangram and reported that in about a fifth of them, chatbots such as ChatGPT, Claude or Gemini contributed more than the student did. Education minister Rianne Letschert said using AI to write a thesis is fraud. Universiteiten van Nederland, which represents 14 Dutch universities, said a detector score alone cannot prove fraud and that the findings raise questions about how final assignments are designed; Utrecht University bans AI detection software, Leiden does not let professors use it, and TU Delft cites research showing the tools are often inaccurate. The case shows the split that many countries now face: ministers want AI-written degree work treated as cheating, while universities say they cannot fairly prove it and must change how they assess students. Source: Times Higher Education, “Dutch minister criticises ‘fraud’ as ‘fifth of theses AI-written’,” published October 15, 2026, 1:29 a.m. HST. https://www.timeshighereducation.com/news/dutch-minister-criticises-fraud-fifth-theses-ai-written
AI agents have made more than 138 million payments with their own budgets (Claude) A Chainalysis report finds that developers are giving AI agents their own wallets, funded mostly with the dollar-pegged USDC stablecoin, to pay for computing power, live web data and code-checking tools. Cumulative payments through Coinbase’s x402 protocol on the Base blockchain rose from about 1,500 in mid-2025 to more than 138 million by the third quarter of 2026, and more than 87% were under 10 cents, an amount where card fees can exceed the price of the service. The median time from a wallet’s first deposit to its first payment fell from 73 days in late 2025 to 18 minutes. Agents that spend money without a person approving each purchase raise new questions for consumer-protection and financial rules, and for any school, university or agency that lets staff run agents with access to funds. Source: Fortune, “AI agents are on a shopping spree: Total payments on Base blockchain eclipse 138 million, Chainalysis finds,” published October 14, 2026, 3:00 a.m. HST. https://fortune.com/2026/10/14/ai-agents-shopping-spree-payments-base-blockchain-138-million-chainalysis/
In the early 2030s, the idea of making a movie no longer feels like a distant dream reserved for studios or professionals. It feels like something a teenager might do after finishing homework. That is exactly how sixteen‑year‑old Kai Nakamura begins his first feature film: not with a camera, not with a crew, but with a laptop on a desk in his bedroom in Honolulu, the trade winds drifting through the window as he opens an app called CineForge Studio, a free AI filmmaking suite that has become as common as word processors once were.
All images in this article were created by Copilot
For 14 Oct 2026, 12:26AM HST, Wednesday (updated 14 Oct 2026 at 11:41AM HST)
China now has more than three times as many active AI researchers as the US (Claude) A Nature news feature cites Digital Science data showing about 51,000 active AI researchers in China and about 14,000 in the United States, with the net flow of researchers running from the US to China. At the NeurIPS 2025 conference, 57% of authors had undergraduate degrees from China, and 69% of those were working in China, up from 57% in 2022. About 63,000 Chinese students studied mathematics or computer science in the US in 2024–25, roughly 20% fewer than five years earlier. The US still leads in private investment, by more than 23 times, and in notable models, and Carnegie Endowment analyst Scott Singer puts China “somewhere between three and seven months behind the frontier.” American graduate programs that relied on Chinese students for much of their AI talent are losing that supply, and visa and research-security policy will shape how fast. Source: Nature, “China’s AI research is booming. Where is it headed?,” published October 14, 2026 (London date; no time listed, so no earlier than 1:00 p.m. HST October 13). https://www.nature.com/articles/d41586-026-03223-8
UA Little Rock opens its first bachelor’s degree in artificial intelligence (Muse) The University of Arkansas at Little Rock began the inaugural semester of its new Bachelor of Science in Artificial Intelligence this fall. The 120-hour program covers AI governance, machine learning, natural language processing, robotics, and deep learning, with two capstone courses. Students interviewed cited a shift in career planning: one freshman moved from computer science to the AI major, saying roles that used to be purely computer science are now folding in AI skills. The university says the program builds on existing research strengths in machine learning, data science, and cybersecurity, and local industry partners — including Southwest Power Pool — see it as a pipeline for regional AI talent. Source: UA Little Rock, “UA Little Rock students explore the future through new artificial intelligence degree,” October 12, 2026 — https://ualr.edu/news/2026/10/12/ua-little-rock-students-explore-the-future-through-new-artificial-intelligence-degree/
IMF chief calls AI a “slow-moving tsunami” for young workers (Claude) At the IMF and World Bank annual meetings in Bangkok, IMF Managing Director Kristalina Georgieva said AI is hitting the labor market like a “slow-moving tsunami,” with young graduates most exposed. The IMF estimates about 40% of jobs worldwide will eventually be “augmented, downgraded or eliminated,” about 60% in advanced economies and 23% in low-income countries. Singapore President Tharman Shanmugaratnam, co-chair of the World Bank’s Jobs Council, said governments should give firms incentives to hire fresh graduates and universities should shift toward applied training. The world’s two main economic institutions are now telling universities to prepare students for an entry-level job market that AI is shrinking. Source: CNBC, “World Bank jobs council urges ‘crisis-era’ support measures as IMF warns of AI ‘tsunami’ hit,” published October 12, 2026, 12:34 a.m. HST. https://www.cnbc.com/2026/10/12/imf-world-bank-ai-jobs-inflation-.html
Hollywood casts tech founders as villains as public trust in AI falls (Claude) Four films this fall portray tech figures: Aaron Sorkin’s “The Social Reckoning” about Mark Zuckerberg, Alex Gibney’s four-hour documentary “Musk,” a documentary about Theranos founder Elizabeth Holmes, and Luca Guadagnino’s “Artificial,” with Andrew Garfield as OpenAI’s Sam Altman, opening on Christmas Day. Axios links the trend to falling trust in technology, citing a Pew Research Center poll in which two in three Americans say social media has harmed democracy. Silicon Valley historian Margaret O’Mara says the public’s relationship with tech has soured quickly. Films like these will shape how millions of students and voters picture the people building AI, and that picture will color classroom discussion and political pressure on the industry. Source: Axios, “Silicon Valley’s horror shows,” published October 11, 2026, 2:50 a.m. HST. https://www.axios.com/2026/10/11/silicon-valley-tech-founder-movies
Mathematicians, programmers, and journal editors are being buried in AI output. The obvious fix is to put more machines between the flood and the people. What are those machine layers, and will they get us to the point where HITLs, or Humans in the Loop, are rarely needed?
Global AI policy templates quietly reset compliance baselines (Copilot) An international AI policy tracker updated on October 8 released new versions of multiple governance templates used by organisations working with OECD, UNESCO, the UN, G7 and ISO. The updates cover synthetic‑content labelling and provenance, public‑sector AI use‑case inventories, U.S. state AI law applicability matrices, frontier‑model safety frameworks, employment‑AI bias audit kits, AI decision‑explanation and appeal forms, and AI supplements to data‑protection impact assessments. While technical, these template revisions matter: they are the practical checklists and workbooks that ministries, universities, and companies use to decide whether an AI system is compliant—and they nudge institutions toward more systematic documentation of how AI is deployed. Source: AI Policy Updates Today, AI Policy Updates – Global Tracker, latest changes updated October 10, 2026 (entries dated October 8, 2026).
On October 1, 2026, National History Day, a competition that draws more than half a million students in grades 6 through 12 each year, put a new rule into effect: “Students may not use generative AI for research, analysis, design, or creation of their projects” (National History Day, 2026). Until this year the contest let students use AI to brainstorm topics and hunt for sources. Those uses are now banned too. The organization’s reasons were specific. Two projects that reached the final rounds in the last two contest cycles cited sources that an AI tool had invented, and the contest wanted to protect what Lynne O’Hara, its deputy director for education programs, called “student voice and student thinking” (Schwartz, 2026).
History competition bars AI even from brainstorming (ChatGPT) National History Day now prohibits students from using generative AI to develop projects for its 2026–27 competition, including for brainstorming topics and finding sources that it previously permitted. An October 8 Education Week report examines the decision against a wider debate in social studies teaching: generating questions and judging sources are themselves historical thinking skills, yet teachers can also guide students in using AI to challenge an argument. The contest says its rule protects student voice and analysis. Classroom practice may differ because a teacher can observe and shape how a student uses the tool. Source: Education Week, “In Social Studies, Does AI Shortcut Historical Thinking? Or Deepen It?”, published October 8, 2026 — https://www.edweek.org/teaching-learning/in-social-studies-does-ai-shortcut-historical-thinking-or-deepen-it/2026/10.
Manual focusing with the f/0.95 lens on the X-T2, X-T4, and X-E1: The 7artisans 35mm f/0.95 can produce a sharply focused subject against a strongly blurred background, but it asks you to do the focusing. On the Fujifilm X-T2, the most dependable starting method is to enable shooting with an unrecognized lens, select manual focus, turn on focus peaking, and use magnification to check the detail that matters. This guide takes you through those operations and explains the changes needed for the X-T4 and X-E1. Btw, part of the motivation for this article is the desire to test OpenAI’s GPT-6 “Intelligent UI” (user interface) released yesterday, October 7, 2026.
Photos by JimS, shot with the X-T4 with XF 16-55. All other illustrations in this article are by ChatGPT.
OpenAI launches a college-application planner for teens (Claude) OpenAI will add a College Planner to ChatGPT for Teens that tracks each school’s deadlines, requirements and financial-aid steps for U.S. students in grades 10 to 12. The company says hundreds of thousands of U.S. teens already use ChatGPT weekly for college planning, and about 1.2 million used its visual learning tools in one week. The launch moves an AI company further into a role that school counselors have long held, at a time when many under-resourced schools have few counselors. Source: OpenAI, October 7, 2026 — openai.com/index/teens-learn-and-plan
US universities give up on AI detectors as cheating spreads (Claude) Yale, Cornell and the University of Wisconsin–Madison now discourage or bar the use of AI-detection scores in misconduct cases, citing false positives and bias against non-native English writers. A Stanford study found detectors flagged 61% of essays by non-native speakers as machine-written, and Harvard College dean David Deming has proposed “getting out of the AI-detection business.” Schools are moving to oral exams, proctored tests and grading the writing process. The shift puts the burden of honesty back on assignment design. Source: AFP via TechXplore, Oct. 6, 2026 — Grappling with ‘homework scams,’ US universities shun AI detectors
After four decades of growth, the earnings edge of a U.S. college degree is shrinking. A look at how far it has fallen, where it may go by 2031, who is moving in on the territory, and whether colleges’ countermoves are working.
Ukraine now sends hundreds of drones at a time toward the Russian capital. The raids are hurting Russia’s fuel supply and denting the Kremlin’s image of control. Whether they can change the outcome of the war depends on three things that will be settled this autumn and winter.
AI startups are buying more of their competitors (Perplexity) Venture-backed AI companies acquired 195 AI startups through September 29, according to a Crunchbase review published Tuesday. That exceeds the total for all of 2025 by 14%, while the number of buyers increased just 2%. Much of the additional activity came from companies making repeated purchases. OpenAI accounted for 10 AI-related acquisitions this year; Anthropic and legal AI company Legora each announced five. Buyers are acquiring specialized products and teams in areas including legal research, healthcare and software development. Crunchbase tracks publicly reported transactions, and prices were disclosed for only 12 of the 195 deals, limiting what the review can say about total spending. Source: Crunchbase News, Mary Ann Azevedo, “Crunchbase Data Shows AI’s Most Active Startups Are Becoming Serial Acquirers,” October 6, 2026 — Article URL.
Altman argues for lighter AI rules despite foreseeable harm (ChatGPT) OpenAI chief executive Sam Altman said in an interview released Monday that society should accept some AI-enabled harms, including scams and hacking, in exchange for the technology’s expected benefits. He presented that trade-off as a reason for a lighter regulatory approach. Florida Governor Ron DeSantis objected publicly; his state had already asked a judge to restrict OpenAI’s development of new models without independently approved safeguards. Altman’s comments clarify the disagreement: the benefits he anticipates are broad, while the harms he cited would fall on identifiable victims. Source: The Guardian, “Accept ‘bad things’ in return for benefits of AI, says Sam Altman,” October 5, 2026 — https://www.theguardian.com/technology/2026/oct/05/sam-altman-open-ai-chatgpt-benefits-risks.
English teachers report sharper AI concerns than math teachers (ChatGPT) Three Central Washington University faculty members published findings from their May survey of 222 high school English and math teachers. Among respondents, 83.7% of English teachers expressed concern about academic integrity, compared with 54.9% of math teachers. Yet English teachers were also more likely to require students to experiment with AI. Teachers reporting clear school policies expressed greater confidence in using and teaching AI, though those policies were not associated with less concern about dishonesty. The authors present these as survey findings, not evidence that a particular policy improves learning. Source: Washington State Standard, “Artificial intelligence in the classroom,” October 4, 2026. https://washingtonstatestandard.com/2026/10/04/artificial-intelligence-in-the-classroom/
Students are hiring lawyers to fight AI-cheating accusations. The lawsuits are a precursor of what schools and universities may be facing in the next five years.
Students are hiring lawyers to fight disputed AI-cheating accusations (ChatGPT) University students are increasingly seeking legal help after being accused of using AI in assessed work. The Financial Times describes one student who spent more than £3,000 clearing her name after supplying drafts and notes that supported her authorship. Lawyers report rising caseloads amid unreliable detection software and inconsistent campus policies. Some universities are responding by treating minor unauthorized AI use as “poor academic practice” rather than formal misconduct. The larger issue is due process: institutions need evidence stronger than a detector score before imposing potentially career-altering penalties. Source: Financial Times, “Students turn to lawyers to fight AI misconduct accusations,” October 3, 2026. https://www.ft.com/content/7e34e5c1-e841-4d0d-abc1-40f98ba4da01
Large study finds AI tutors match expert human tutors for GRE prep at a fraction of the cost (Claude) StudentBench tested 2,383 students across AI tutoring, human tutoring and control groups. AI tutors produced learning gains statistically equivalent to expert human tutors, at about 918 times lower cost per percentage point gained. The authors did not name the models tested, and the results have not been independently replicated. The study, posted in late September, drew wide attention this week as schools weigh replacing paid tutoring with AI. Source: arXiv preprint 2609.28470 — arxiv.org; summary at AI Weekly
The weight of the platform: the hidden costs of building AI into the university too soon and too firmly. Colleges are spending millions to make AI a campus utility. A growing set of critics, from Oxford law professors to Cal State faculty, warns that contracts, platforms, and governance layers built for this year’s tools can leave institutions less able to move when the tools change again.
A university can give everyone an AI account and still leave students struggling to find reliable help, professors uncertain about acceptable use, and staff copying information between incompatible systems. The emerging infrastructure-first approach addresses those institutional conditions. Its significance reaches well beyond technology purchasing: decisions about shared AI systems increasingly determine who receives educational support, who controls academic work, and what an institution can afford to provide.
Tsinghua reaches 11th in world rankings as UK and U.S. universities slip (Claude) New global data show Asian universities rising and Western ones squeezed for money, while Washington ties college aid to earnings. Times Higher Education’s 2027 rankings keep Oxford first for an 11th year, just 0.1 points ahead of MIT. Tsinghua climbed to 11th, passing ETH Zurich, and three Asian universities now sit in the top 15 for the first time. U.S. institutions lost ground on research strength, citations and international students, and every UK income measure fell against the global average. China’s drop in international co-authorship was put down to geopolitics, research-security rules and export controls. Source: Times Higher Education, September 30, 2026 — https://www.timeshighered
