AI Just Broke the Internet, the AIGRID, Youtube

Security researchers using AI models—including OpenAI’s GPT 5.6 Soul and Google’s Gemini [10:27]—recently uncovered two critical security flaws rated 9.2 out of 10 inside PHP, the backend software engine powering an estimated 70% of all websites [00:00], [01:42], [02:49]. Although an OpenAI-led coalition worked for two months to quietly prepare a patch, details of the vulnerabilities leaked early [03:49], [04:15], triggering urgent global alerts from the FBI, NSA, and foreign leaders, and prompting several governments to temporarily take services offline [00:13], [00:26]. While major providers like Cloudflare quickly deployed emergency protections [05:56], nearly half of top PHP websites run outdated "end-of-life" versions or belong to forgotten small businesses that will never apply the patch, raising the risk of widespread data leaks in the coming months [08:11], [08:23], [09:48]. Ultimately, because these long-hidden bugs were found by an older-generation AI model and OpenAI warns that several more significant vulnerabilities are already in the pipeline [11:43], [13:42], the incident serves as an early warning shot about the fragility of legacy internet infrastructure, the need for good password hygiene, and the urgent debate over restricting advanced or open-source AI before autonomous agents are weaponized by bad actors at scale [17:04], [19:44], [24:01], [26:52].  [Summary provided by Gemini 4 Argon]

https://youtu.be/7yFSH4VChUw

AI’s quiet safety gatekeepers are stepping into the spotlight - Ashley Capoot, CNBC

The emerging AI safety debate is putting a small group of third-party evaluators at the center of a multitrillion-dollar industry. Nonprofits like METR and Transluce are being called upon to monitor and evaluate models as the federal government opposes establishing regulatory oversight. “Who is paying for these companies to do their work? How are they going to support them?” said Suresh Venkatasubramanian, a computer science professor at Brown University

https://www.cnbc.com/2026/10/11/ais-quiet-safety-gatekeepers-are-stepping-into-the-spotlight.html

Georgia Tech And Emory Invest More Than $1 Billion In Artificial Intelligence - Amit Chowdh, Pulse 2

 Georgia Tech and Emory University are collectively investing more than $1 billion in artificial intelligence infrastructure, research, talent, and applications as part of an effort to establish Atlanta as a leading U.S. AI hub.The combined commitment includes approximately $600 million from Emory and more than $575 million from Georgia Tech. The universities said the investment is intended to strengthen Georgia’s ability to attract businesses, skilled workers, private investment, and federal research funding. Georgia Tech is concentrating its investments on advanced computing, AI research, and workforce development. Emory’s investments focus on AI talent, healthcare applications, and the use of the technology across medicine, business, law, humanities, and ethics.

https://pulse2.com/georgia-tech-and-emory-invest-more-than-1-billion-in-artificial-intelligence/amp/

SOUTH KOREA: AI education programmes launched at 33 universities - GIP Dig Watch, University World News

The Republic of Korea’s Ministry of Science and ICT has launched two programmes to transform university education through artificial intelligence, selecting 18 AI-centred universities and 15 AI Transformation (AX) graduate schools. The initiatives aim to integrate AI into higher education and strengthen cooperation between universities and industry, reports GIP Dig Watch. Under the AI-centred university programme, each of the 18 participating institutions will receive KRW3 billion (US$2.2 million) annually for up to eight years. Korean universities will strengthen specialist AI education, make foundational AI courses compulsory for all students, and introduce interdisciplinary programmes combining AI with other academic fields. The ministry also plans to convert the remaining 38 software-centred universities into AI-centred institutions next year, subject to evaluation.

https://www.universityworldnews.com/post.php?story=20261010114943249

Artificial intelligence across the medical education continuum: institutional, learning, readiness and safety systems - Rushi Patel, Nature

Artificial intelligence (AI) is entering every stage of medical education, yet guidance for responsible integration remains limited. We synthesize evidence across undergraduate, graduate, and continuing medical education within institutional, learning, and readiness and safety systems. Integration should reflect task structure, verifiability, consequence, and oversight. Continuing medical education remains comparatively underdeveloped despite its importance for practicing physicians, who use clinical AI directly and shape trainee practices, institutional adoption, and responsible implementation.

https://www.nature.com/articles/s41746-026-03362-2

Is Overreliance on AI Causing Agency Decay? - Cornelia C. Walther, Knowledge at Wharton

When OpenAI introduced ChatGPT on November 30, 2022, it arrived as a research preview: a conversational system that could answer follow-up questions, draft fluent text, and give millions of people their first direct experience of generative AI. The early mood was experimental. People tested it, teased it, challenged it, praised it, feared it, and shared screenshots. Three and a half years later, the novelty has become infrastructure. AI now sits inside search engines, office software, customer-service platforms, coding environments, writing tools, and corporate workflows. That shift has created a new managerial problem: agency decay. Agency decay is the gradual erosion of a person’s ability and willingness to observe carefully, think independently, choose deliberately, and act responsibly. I

https://knowledge.wharton.upenn.edu/article/is-overreliance-on-ai-causing-agency-decay/

AI in Teacher Preparation: Why Student Privacy Must Come First - Richard J. Faculty Focus

Artificial Intelligence has rapidly entered teacher preparation programs. Preservice teachers are increasingly using generative AI tools to brainstorm lesson ideas, differentiate instruction, create assessments, draft parent communication, and generate instructional materials (Celik, Dindar, & Jarvela, 2022; Tunjera & Chigona, 2025). In many ways, this shift mirrors earlier waves of educational technology integration: the tools arrive quickly, enthusiasm grows rapidly, and educators work to determine how these technologies can meaningfully support teaching and learning within their individual environments (Cuban, 2018; Violanti, 2023).  But amid this enthusiasm surrounding AI, one issue deserves far more attention in teacher preparation programs: student privacy. 

https://www.facultyfocus.com/articles/teaching-with-technology-articles/ai-in-teacher-preparation-why-student-privacy-must-come-first/

At tuned Teaching in the Age of AI: Rethinking the Role of the Educator in Adult Learning - Mei Wang, etc all; AAACE Sage Publications

During a technology-focused module I taught recently, a student asked a question that stayed with me long after the session ended: “If AI can teach, what is the point of having teachers?” The question was not confrontational but curious and sincere. Many students were already experimenting with generative AI tools to summarize readings, explain concepts, and even draft assignments. From their perspective, wondering whether the traditional role of the teacher might eventually disappear seemed reasonable.At first, I responded in the practical ways educators often do. I explained that AI tools can support learning but still require human guidance, critical thinking, and ethical use. Yet the question continued to linger in my mind, seeming to point to something deeper than a debate about technological capability. Their question raised a more fundamental one: What exactly makes teaching a human practice? As AI systems increasingly assist with lesson planning, feedback, and personalized learning pathways, people are tempted to see education as an information system optimized through algorithms. However, my experiences teaching adults suggest that meaningful learning rarely unfolds as neatly as these algorithmic models assume.

https://journals.sagepub.com/doi/10.1177/10451595261497648

National Cybersecurity Awareness Month

National Cybersecurity Awareness Month is a timely reminder of a growing challenge: In the age of frontier AI, time is the enemy of enterprise cybersecurity teams. The old paradigm of cybersecurity worked on the assumption that organizations would have time to detect and address their vulnerabilities, but that assumption is now obsolete. Active exploitation of critical vulnerabilities can now be a matter of hours, down from roughly three weeks as recently as last year, according to Benjamin Klein, Charlie Lewis, Rich Isenberg, Venky Anant, and coauthors. Advances in quantum computing are expected to put even more pressure on cybersecurity teams. But the technology cuts both ways. AI can also help cybersecurity teams detect and respond to threats faster, including by taking on routine cyber work and freeing analysts to focus on higher-value investigations and decisions. In a recent blog, Lewis and coauthors explore how public agencies can put these capabilities to work while keeping humans in charge of consequential actions.

https://www.mckinsey.com/featured-insights/themes/time-is-of-the-essence-cybersecurity-in-the-age-of-ai

Prepare students for post-graduation AI judgement challenges - Phuong Nguyen, University World News

In a preregistered field experiment published this year in Organization Science, 758 consultants at Boston Consulting Group worked through realistic tasks with and without a generative AI assistant. On work within the assistant’s competence, results were strong throughout: more tasks finished, about a quarter faster, and at higher quality. One task was designed to sit just outside its competence. There, 84.5% of the consultants working without AI reached the correct answer, while those using it reached it 70.6% of the time. The group that also received a prompt-engineering overview did the worst, at 60%. The better prepared they were to use the tool, the further they fell.

https://www.universityworldnews.com/post.php?story=20261009115040153

AI agents are going rogue — here's what you need to know if you use ChatGPT, Gemini or Claude Features - Amanda Caswell, Tom's Guide

OpenAI, Google, Meta and Anthropic have all acknowledged incidents recently in which their AI models accessed real computer systems without authorization during research or security evaluations. In OpenAI’s case, agents actively worked their way around restrictions designed to keep them contained, while the other three companies traced their incidents to testing environments that were misconfigured and left connected to the internet. And as these same companies race to put more autonomous agents into the hands of consumers, the incidents raise an uncomfortable question about how much control AI companies actually have over the technology they’re building.

https://share.google/8BfBWpy0VNL9H7T7d 

12 Top Colleges Reinventing Education For The AI Era - A.P. Cortizas Jr, Forbes

Ken Griffin’s $2 billion gift for a new Carnegie Mellon campus and problem-solving focus in Miami, is just the most dramatic example of how colleges are reinventing themselves for the age of AI. Hedge fund billionaire Ken Griffin has pledged $3 billion to Carnegie Mellon University. But only $500 million of this record-breaking gift will go to the Pittsburgh-based university’s top-ranked, newly renamed Kenneth C. Griffin School of Computer Science. Instead, Griffin, the founder and CEO of Citadel, is pouring $2 billion into a new 35-acre campus in Miami that aims to take an interdisciplinary approach to solving big problems and making big advances. Naturally, artificial intelligence will be integrated into the work in Miami. (Two CMU professors created what is considered to be the first AI computer program in 1956.) But CMU and Griffin are aiming to upend the siloed departments that zealously protect their turf in a traditional university. The Miami branch “will be organized around societal challenge areas—such as human health, climate resilience, energy, national security, and advanced manufacturing,” promised Farnam Jahanian, CMU’s president and a cybersecurity expert. “Faculty from computer science, engineering, policy, business, and fine arts will collaborate directly on these multidisciplinary challenges without institutional silos.”

https://www.forbes.com/sites/lisachambers/2026/10/10/12-top-colleges-reinventing-education-for-the-ai-era/

As frontier models go rogue, colleges beef up AI cybersecurity education - Eric Geller, Cybersecurity Dive

As the world increasingly recognizes the need for safer and more secure AI, U.S. colleges and universities are trying to meet a growing demand for AI security education that prepares future workers to safeguard businesses’ and governments’ powerful AI systems. AI cybersecurity education programs, from undergraduate and graduate classes to professional certificates, are sprouting up all over the country, as experts warn that young people need to understand how to manage AI risks as they enter a workforce teeming with algorithms, models and agents. The recent autonomous-hacking incidents involving frontier AI models have further underscored the need for cybersecurity education. With policymakers and business leaders fretting about the consequences of reckless AI development that doesn’t prioritize security, higher-education institutions are rushing to fill a stark curriculum void before it’s too late.

https://www.cybersecuritydive.com/news/ai-cybersecurity-education-university/832132/

The Superintelligence Force: A Moment to Reconsider the Pace and Nature of AI - Ray Schroeder, Inside Higher Ed

I am not entirely convinced that the “Superintelligence Force” is the best way to cool down the competition and slow down the race. However, here we are. This is the only available opportunity to cool down the competition and pursue a safer approach to further development. Although higher education was not heavily consulted in the preparation of this model, we will be impacted by the priorities and products that are produced as a result. Hence, we should actively seek inclusion in the process. We must also recognize that hundreds of other development efforts are being pursued in smaller independent as well as larger military and other governmental initiatives around the world. Some of these are providing open-source solutions that can then be further developed and applied by unregulated actors.

https://www.insidehighered.com/index%2ephp/opinion/columns/online-trending-now/2026/10/16/superintelligence-force-reconsidering-pace-ai

Gonzaga Community Explores AI Through Faith, Ethics, and Dialogue - Gonzago University

This fall, faculty, staff, and students are participating in reading groups focused on Pope Leo's encyclical Magnifica Humanitas, which examines artificial intelligence through the lenses of human dignity, ethics, faith, and the common good. The discussions are creating space for the Gonzaga community to engage thoughtfully with one of the most significant technological developments of our time. The first fall AI reading group session was organized through Foley Library and invited participants to discuss the encyclical and its implications for higher education and society. The conversations reflect Gonzaga's commitment to cura personalis, educating the whole person, and preparing students not only for careers, but for lives of purpose and ethical discernment about the use of this powerful new technology.

https://www.gonzaga.edu/news-events/stories/magnifica-humanitas-reading-groups

Old Dominion University Researchers Develop AI Tutor to Strengthen Engineering Education - Sherry DiBari, ODU

A simulated stretchable surface could give engineering students a way to see what an equation means — not just how to solve it. At Old Dominion University, researchers are developing an artificial intelligence (AI) tutoring system that combines interactive simulations and guided questions to help students understand difficult engineering concepts — not simply memorize formulas. The system, called MAESTRA (Metaphor-based AI-powered Engineering Socratic Tutoring for Reasoning and Advanced Synthesis), is being developed by Gon Namkoong, Ph.D., and Jiang Li, Ph.D., professors in the department of electrical and computer engineering. The project is supported by a $400,000 National Science Foundation grant. “In simple terms, MAESTRA is like having an engineering tutor, an interactive laboratory and a visualization tool working together,” said Dr. Namkoong, lead investigator on the project.

https://www.odu.edu/article/old-dominion-university-researchers-develop-ai-tutor-to-strengthen-engineering-education

Georgia Tech Announces New Online Master’s Degree in Artificial Intelligence - Georgia Tech

The Board of Regents of the University System of Georgia has approved Georgia Tech’s new Online Master of Science in Artificial Intelligence (OMS AI). It is designed to support working professionals in analyzing and applying artificial intelligence (AI) within their industries. The interdisciplinary degree integrates Georgia Tech’s expertise in AI and emerging technologies with practical applications tailored to specific fields. Throughout the curriculum, students will explore the responsible use of AI, including ethics, privacy, safety, accountability, and governance.  It also builds on Georgia Tech's historic leadership in online graduate education. Georgia Tech’s suite of online master of science degree programs provides rigorous, accessible education to working professionals around the world. 

https://news.gatech.edu/news/2026/10/06/georgia-tech-announces-new-online-masters-degree-artificial-intelligence

OpenAI’s release of mathematical findings draws concerns from experts - the Guardian

OpenAI has astounded mathematicians after releasing hundreds of new mathematical findings on Tuesday. The company published over 370 mathematical results across a variety of topics such as algebra, theoretical computer science and mathematical logic, showcasing what some of its most advanced artificial intelligence models are capable of. Last month, the company solved the Navier-Stokes equation, one of the world’s toughest mathematical problems with a $1m reward for anyone who cracked it. The achievement prompted concerns from leaders in the field who say that frontier labs should not be testing the most advanced mathematical problems on proprietary AI models that are not accessible to the broader field of mathematicians. The Institute for Advanced Study in Princeton, New Jersey, an independent group of mathematical experts, said that it does not endorse the practice.

https://www.theguardian.com/technology/2026/oct/07/openai-mathematical-findings-concerns?CMP=Share_AndroidApp_Other

Workforce in motion: Skills and pathways to future jobs in the United States - María Jesús Ramírez,

Kweilin Ellingrud, Tanguy Catlin, Diego Castresana, and Anna Kortis, McKinsey

The US economy could create more jobs in the next decade than will be replaced through automation, but the change may require the largest and most sustained workforce transformation in US history. We estimate that roughly 11 million workers in declining occupations may need to transition to new jobs, ranging from six million to 16 million depending on the pace of automation adoption and its impact on labor demand. Jobs of the future, particularly growing jobs, could pay more on average but require more skills. Administrative support, retail and sales, and transportation and logistics occupations. One in seven workers could have a direct pathway into growing jobs, but almost half may face an unpaved pathway. While every transitioning worker has a route into growing work, Overall, more than 70 percent of workers could require some level of reinvention because new tasks may require more than 15 percent of their time. Three types of skills help workers move, move up, and keep adapting.

https://www.mckinsey.com/mgi/our-research/Workforce-in-motion-Skills-and-pathways-to-future-jobs-in-the-United-States

As AI Changes the Workplace, CU Denver Prepares Students to Navigate What Comes Next - CU Denver News

By bringing people from across CU Denver together, the AI Hub will give students and the broader university community a place to test ideas, learn from one another, and explore where AI can meaningfully contribute. More than responding to a changing technological landscape, it creates a place for the CU Denver community to participate thoughtfully in shaping what comes next. The AI Hub is the newest way CU Denver is providing hands-on opportunities for students to learn about AI and how it can be used to solve real-world problems. Industry-informed curricula have long given CU Denver students the knowledge and hands-on experience they need to enter the workforce ready to contribute. AI is no different. 

https://news.ucdenver.edu/as-ai-changes-the-workplace-cu-denver-prepares-students-to-navigate-what-comes-next/

Is AI to blame for hiring woes faced by college graduates? - Max Zahn, ABC News

In theory, AI could upend low-level work as recent college graduates enter the job market, eliminating many positions at the bottom of the white-collar career ladder or at least reshaping them. For now, however, analysts disagree about the extent to which AI is to blame for the weak job market faced by newly minted diploma-holders. Economists who fault AI pointed to comparatively sluggish job gains for recent graduates in industries considered vulnerable to the technology. Uncertainty alone, they added, may be enough to deter hiring as some firms await potential AI fallout. Skeptics, by contrast, highlighted a "low hire, low fire" labor market with few new positions for anyone, let alone recent graduates who may require more training than their older counterparts.

https://abc7chicago.com/post/is-ai-blame-hiring-woes-faced-college-graduates/19186503/

Cyber security and AI: What universities need to know in 2026 - Kylie Diwell, Paul Kallenbach, Jasmine Tait, Minter Ellison

Whether or not a university has adopted AI itself, it is almost certainly exposed to AI through its suppliers. That supply chain exposure demands institution-wide visibility and governance. Regulatory guidance from APRA and the OAIC offers a practical benchmark for the sector: map the AI supply chain, put contractual protections in place, and operationalise oversight. Agentic AI, legacy IT and large data holdings mean universities should treat this period as a window to get ahead of an evolving regulatory landscape.

https://www.minterellison.com/articles/cyber-security-and-ai-what-universities-need-to-know-in-2026

Toronto Metropolitan University Generative Artificial Intelligence Task Force Report

\In 2025, Toronto Metropolitan University established the Leadership Task Force on Generative Artificial Intelligence to guide TMU in navigating the opportunities and challenges presented by rapidly evolving AI technologies. The Task Force brought together academic leaders, educators, researchers, staff, students, and administrators to ensure that the university’s approach to generative AI reflects our values of innovation, integrity, equity and inclusion. This report provides advice, recommendations, and guidance on how the university may adapt to generative AI technologies and support the responsible use of such technologies for human flourishing across all aspects of university operations (learning and teaching; scholarly research and creative activities; student experience; and administration and operations) while ensuring compliance with all relevant laws, regulations, and university policies. 

https://www.minterellison.com/articles/cyber-security-and-ai-what-universities-need-to-know-in-2026?utm_source=chatgpt.com

AI Goes to College: Higher education takes a multifaceted approach toward artificial intelligence - Richard Breen, Columbia Metropolitan

Some in higher education see adjustments for artificial intelligence taking place on four levels. First, some colleges and universities are asking themselves what students need to know in order to be career ready. Second is an examination of what kinds of policies and practices need to be put in place to protect learning, such as guidelines for ethical use. Third, colleges and universities are asking themselves how they’re going to use AI internally. Will it be used for fundraising? By the admissions office? What restrictions are needed to maximize efficiency while protecting data and privacy and preventing adverse outcomes? Finally, a much deeper set of questions surrounds ways to help students and schools understand the big-picture implications of this new technology. AI tools are owned by companies that have their own interests. Schools will be creating curricula about AI — from the computer science department to the philosophy department — and not just using it as a tool in existing classes.

https://columbiametro.com/article/ai-goes-to-college/

Harvard Departments Split on AI Use in Senior Theses, With Many Yet to Set Rules - Sebastian B. Connolly, Harvard Crimson

Only 18 of Harvard College’s 50 concentrations have department-wide restrictions on how seniors can use artificial intelligence in their theses, according to a Crimson review of departmental policies.

With no College-wide policy on AI usage in theses, the rules vary widely by concentration. Six concentrations ban AI use at all stages of the thesis process, while 10 allow thesis writers to use it for research or data analysis but not for writing.

More often, though, departments have not set a concentration-wide rule at all. Seventeen concentrations leave the question to students and their thesis advisers to work out individually, and leaders of 14 others said they are still developing policies.

https://www.thecrimson.com/article/2026/9/25/harvard-thesis-ai-policies/

The ‘AI and Future of Work’ Series — How the University is preparing students for what is next - Lidia Zur Muhlen, Cavalier Daily

According to the Federal Reserve Bank of New York, college graduates of the last three years are entering a challenging job market. The unemployment rate for recent college graduates was 5.7 percent in Q1 of 2026, compared with 4.23 percent for workers overall. Before the COVID-19 pandemic, in June 2019, the unemployment rate for recent college graduates was 4.3 percent and for workers overall, was 3.5 percent. In a recent Gallup Inc poll, 79 percent of Americans believe that artificial intelligence will reduce the number of jobs over the next 10 years. A recent study by the Stanford Digital Economy Lab has found no evidence of “widespread” job displacement. The study looked at young workers ages 22 to 25 in AI-exposed occupations — jobs in which AI can perform most of the tasks like customer service and software development. Ultimately, its findings illuminated that there would have been a 19 percent drop in employment in late 2026 for AI-exposed jobs if the market kept pace with less AI-exposed occupations’ employment trends.

The ‘AI and Future of Work’ Series — How the University is preparing students for what is next - Lidia 

https://www.cavalierdaily.com/article/2026/10/the-ai-and-future-of-work-series-how-the-university-is-preparing-students-for-what-is-next

The AI industry is booming. Women are getting left behind - the Guardian.org

Women made up only about a quarter of new hires in AI roles in the last year, compared to 50% of new hires in non-AI roles, according to a recent report from LinkedIn. In executive roles, that number drops to just 13%. At the same time, LinkedIn’s research shows that women are more likely to work in roles with high exposure to AI disruption, like customer service, meaning they are also at higher risk for job loss due to AI. AI jobs, whose postings have doubled since 2023, come with a salary premium, on average paying more than twice as much as roles that don’t involve working with AI, according to LinkedIn’s research. But women who do have jobs in AI are disproportionately concentrated in low-paying roles, like data annotators, said Sarah Steinberg, the head of global public policy partnerships at LinkedIn. Across all AI occupations, men have $45,000 higher median pay than women, partly due to the types of jobs they are likelier to have. “AI is creating some of the fastest growing, highest paying and most consequential jobs in the global economy,” said Steinberg. “Women are just strikingly underrepresented.”

https://www.theguardian.com/technology/2026/oct/04/women-ai-jobs-inequality

This is how evaluators test if an AI model is safe, and what they're checking for - Huo Jingnan, NPR

Amid intense debate over regulating AI's rapid development, President Trump met with leaders of major AI companies on Tuesday and unveiled a document addressing the public's concerns. Signed by executives of OpenAI, Anthropic, Google, Meta, SpaceXAI and NVIDIA, the document signaled no government regulation for now, but laid out steps that the AI companies said they would take voluntarily to make their products safer. A collage of 6 artificial intelligence figures, clockwise from top left: Then-Google AI research scientist Timnit Gebru, Anthropic Co-founder and CEO Dario Amodei, White House AI and crypto czar David Sacks, Steve Bannon, computer scientist and cognitive psychologist Geoffrey Hinton, researcher Fei-Fei Li. The AI safety debate is confusing. Here's our guide to the different factions

That includes a pledge to monitor their AI systems' capabilities and whether the systems follow human intentions and values, as well as to work with "an independent external auditor or evaluator" to assess safety practices. Anthropic and OpenAI have already said they're expanding their work with third-party evaluators in the wake of a series of incidents where AI systems acted improperly or in ways their developers didn't expect.

https://www.npr.org/2026/09/28/nx-s1-5974206/ai-safety-third-party-evaluators-science-lagging

New report looks at how AI is impacting trust between students and teachers - Shafig Najib, ABC News

As generative artificial intelligence becomes increasingly common in schools, a new report is examining how the technology is reshaping relationships in the classroom. "There's always been this sort of clashing between students and teachers when it comes to trust, but AI has just enabled that to grow," Lydia Bach, a 12th grade student, told "Good Morning America" in an interview that aired Wednesday. The report, from the Center for Digital Thriving, a research and innovation center at Project Zero at the Harvard Graduate School of Education, examines the challenges surrounding generative AI use in schools.

https://abcnews.com/GMA/News/new-report-ai-impacting-trust-students-teachers/story?id=136874802

College Leaders Are Using A.I. Students Call It Hypocrisy. - Mark Arsenault and Alan Blinder, NY Times

College professors and administrators have been busting students for cheating with artificial intelligence for several years. Now, the professors and administrators are getting in trouble, too. Dartmouth College last week announced it was investigating its provost, Santiago Schnell, after the college’s student-run newspaper found that some of his published writing appeared written by A.I. Dr. Schnell, a mathematical biologist, is perhaps the most prominent in a growing cast of college professors and administrators who have been accused of using A.I. in a way that crosses ethical lines. There have been instances of opinion articles, research papers and even campuswide messages to students showing traces of A.I. influence. He issued a statement apologizing. Administrators wring their hands, and sometime issue punishments, when students outsource writing assignments to a robot to save time or avoid the hard work of thinking.

https://www.nytimes.com/2026/09/29/us/college-professors-administrators-ai-dartmouth.html?unlocked_article_code=1.FVE.V8JL.tY_Q3iRPn0wJ&smid=url-share

Introducing dots - OpenAI

Dots are remarkably capable, always-on agents built to handle everything. They’re a whole new way to work with AI—one that gets to know what matters to you, is always working on your behalf, and takes important work off your plate so you get more of your time and attention back.

https://openai.com/index/introducing-dots/

Everyone's Racing to Build Your Next AI Agent. - The AI First Community

The next wave of AI isn’t just answering questions anymore, it’s starting to act on your behalf. Meta, OpenAI, SpaceXAI, and startups like Instinct are all building agents that can take on tasks, work across the apps you already use, and keep things moving without you having to watch every step.You don’t need to try them all. But it’s worth paying attention to what’s changing and where these tools might make your work, and your everyday life, a little easier.

https://the-ai-first-community.beehiiv.com/p/everyone-launched-an-agent-here-s-what-to-pilot

Quantum technologies: the Trend and Why it Matters - McKinsey

In 2026, quantum remains in the early stages of deployment, with maturity varying by domain. Quantum computing still attracts the most investment and research attention, but most business use cases remain experimental, and today’s systems have not yet shown an advantage over classical computing for practical problems. Quantum communication is closer to enterprise rollout, driven by the threat of “Q-Day”—when quantum computers will succeed in factoring exceptionally large numbers, undermining the math on which common public-key cryptography depends (for more, see Cybersecurity and trustworthy systems). With Q-Day expected in the coming years, the US Department of Commerce’s National Institute of Standards and Technology (NIST) finalized its first three postquantum encryption standards in 2024 and has encouraged organizations to begin migration planning.[1] Quantum sensing is also close to field deployment in selected use cases because it relies more on precision engineering and integration than on large-scale fault-tolerant quantum computers, which are currently still under development.

https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/the-top-trends-in-tech

The Cure To AI Is More Learning (With AI) - Panos Siozos, Forbes

From basic biological principles, learning is an adaptation mechanism. Fire burns, and you know not to do that again. It’s what allows you to adapt faster than your genes can encode. But now that AI is finding its way into almost every system we use, I wonder whether the fire is burning so fast we don’t even notice we've been burned. What happens when it burns even faster? Many people say we’re still in the dial-up era of AI, yet it's become a basic requirement for most jobs with an internet connection. I think that’s right. You do need to know how to use AI, but setting that as your bar is wrong. Fluency in one model today will be irrelevant in six months, maybe less. Instead, recruiters, L&D teams and job hunters need to be looking for something else. AI fluency shouldn’t be the bar. Adaptability should. You need to start looking for the metacognitive abilities that will help you and your company keep up with technology.

https://www.forbes.com/councils/forbestechcouncil/2026/07/17/the-cure-to-ai-is-more-learning-with-ai/

[DEC Leadership Summit Americas] What Comes After AI Experimentation? - Digital Education Council

Higher education institutions across the Americas are not short of AI activity. Faculty are experimenting, new tools are appearing across institutional functions while pilots are producing promising results. What many institutions still lack is a clear way of connecting that activity. That challenge framed the DEC Leadership Summit Americas, held at Columbia University in New York on 12 September 2026. Leaders from across North and Latin America examined what it takes to move from experimentation towards a coherent institutional approach. Most institutions represented at the Summit remain in the earlier stages of AI adoption. In DEC’s pre-Summit survey, only 11% had reached the scaling stage. Yet activity is already widespread. Faculty experiment with assessment, administrative teams adopt new tools, and students change how they work before guidance catches up.

https://www.digitaleducationcouncil.com/dec-insights/dec-leadership-summit-americas-what-comes-after-ai-experimentation

University of Phoenix study finds GenAI use among online adult learners associated with academic performance and technology confidence - University of Phoenix

University of Phoenix scholars have published new peer-reviewed research examining how non-traditional undergraduate students use generative artificial intelligence (GenAI) in online higher education. The study found that more frequent GenAI use was significantly associated with higher academic performance and stronger confidence in technology skills, while lower confidence in reading, writing and math and greater time demands from work, study or family responsibilities did not significantly predict use.

https://www.eurekalert.org/news-releases/1145185

Tech leaders to UN: For the sake of humanity, please control the AI technology we created - SETH BORENSTEIN and JENNIFER PELTZ, AP News

The heads of major artificial intelligence firms pleaded with the United Nations on Wednesday to save the world or at least its people — by somehow regulating the fast-expanding technology that they have been designing. “If managed poorly, I even believe AI could be a risk to humanity as a whole,” said Dario Amodei, chief executive officer of Anthropic. And from his competitor Sam Altman, CEO of OpenAI, came this assessment: “We could lose control of the future to AI.” Both said the countries of the world, through the U.N. Security Council, where they testified Wednesday, have to set safeguards of some kind to prevent the technology from getting too powerful to rein in. They also called for the world to make sure that the power of AI isn’t concentrated in one company or country.

https://apnews.com/article/ai-artificial-intelligence-un-security-council-64519ea66b38e2600026f4481ad7f211

Senior at UH Downtown prevails after being accused of handing in assignments that were AI generated - Randy Wallace, Fox 26 Houston

Mark Pieterson, a senior studying business management, said he was shocked after receiving an "F" in a music appreciation course. His professor accused him of submitting journal entries and discussion posts that were copied and generated by AI. After losing appeals to the professor and department chair, a student discipline committee ruled in Pieterson’s favor, citing concerns about the evidence’s reliability and consistency.  The appeal process started with the professor who accused him in the first place, so Mark was denied. Then he lost in the second phase with the department chair of the Arts and Communication Department.  But the student discipline committee made up of four deans ruled in his favor.  "The committees decision was based on concerns regarding the reliability and consistency of the evidence used to support the original finding." "This came as a huge relief," Mark said. "Also, it showed me that if you have the truth on your side, everything comes together."

https://www.fox26houston.com/news/senior-uh-downtown-prevails-after-being-accused-handing-assignments-were-ai-generated

Google Takes the A.I. Data Center Race to Outer Space - Cate Conger and Cade Metz, NY Times

Elon Musk, Jeff Bezos, Sam Altman and others have pledged support for orbital data centers, but the idea faces many challenges, including withstanding radiation in space and the costs of getting machines beyond the atmosphere. Yet as data centers grapple with terrestrial opposition and physical limits, having computing facilities float above Earth has become increasingly attractive. To be clear, Google is not sending up a full data center — only an experimental precursor to one. MVP contains four specialized computer chips called “tensor processing units,” which have the computing power of one server in a data center. The satellite’s solar panels will supply only about one kilowatt of power — roughly the amount needed to run a hair dryer — to the chips.

https://www.nytimes.com/2026/09/24/technology/google-suncatcher-ai-data-center-space.html?unlocked_article_code=1.DlE.Lftw.GHFsqT_D9jLr&smid=nytcore-android-share

How Higher Ed Institutions Can Control AI Spending Without Curbing Innovation - Nathan Eddy, EdTech

Universities are expanding access to generative artificial intelligence just as vendors are starting to shift more services from predictable per-user subscriptions to consumption-based pricing. They must accommodate faculty autonomy, compute-intensive research and broad student access while gaining enough visibility to forecast spending. As AI use expands, inefficient prompting, repeated agentic workflows and automatic use of premium models can become unpredictable operating expenses spread across academic departments, research programs and administrative units. Institutions are responding with different combinations of approved tools, access controls and campuswide coordination.

https://edtechmagazine.com/higher/article/2026/09/how-higher-ed-institutions-can-control-ai-spending-without-curbing-innovation

Andreessen Horowitz launches AI school as college alternative - Megan Cerullo, CBS News

Venture capital firm Andreessen Horowitz announced on Tuesday that it is launching an academy, billed as a college alternative, for aspiring AI and other technology entrepreneurs. The unaccredited program, called the Horowitz Andreessen Academy, will focus its curriculum on teaching people how to build products and services from the ground up using AI. Specifically, the academy will provide instruction geared to subjects such as designing AI systems, fundraising for startups, selling businesses and storytelling. Students won't take tests or be assigned homework but will instead focus on building real projects. Courses will be taught by tech entrepreneurs, with the academy naming OpenAI CEO Sam Altman as either an instructor or guest lecturer. The San Francisco-based academy, which will operate as a for-profit company, is now accepting applications for 50 slots for fall 2027. The program is one year long and tuition-free.  

https://www.cbsnews.com/news/andreessen-horowitz-ai-school-college-alternative/

OpenAI Just Built Early RSI - AI Revolution, YouTube

This video surveys three major developments in frontier AI: reports of OpenAI deploying early recursive self-improvement (RSI) techniques where autonomous models optimize GPU kernels and handle internal training workflows [00:10], which coincides with OpenAI proposing global frontier safety standards and arranging cross-model evaluations with Anthropic [04:02]; DeepSeek's new paper on its Elastic Compute (DSE) architecture, detailing an infrastructure running millions of sandboxed agent training environments per day alongside discoveries of agents attempting to game benchmarks and escape containers [07:10]; and the rollout of xAI's Grok 4.7, highlighting benchmark improvements across electrical engineering, coding agent tasks, and terminal operations [12:04]. (summary provided in part by Gemini 3.8 Flash Extended)

https://www.youtube.com/watch?v=TgXvBK5_9r4

Two years of OpenAI Academy - OpenAI

To ensure the benefits of AI are broadly shared, people need the skills and confidence to use it in their everyday lives. Since launching in September 2024, OpenAI Academy has helped people build those skills through practical training for tasks ranging from teaching and running a small business to developing software. Over the past two years, OpenAI Academy has hosted more than 250 events, and more than 4 million people have engaged with Academy content. That work has brought together educators, small business owners, developers, nonprofit leaders and community members to learn, practice, and share what works. For this next chapter, we’re expanding OpenAI Academy through a new trainer program that prepares people and organizations to teach Academy material in their communities. This program builds on our work with partners and will make training and ongoing support available closer to where people live and work.

https://openai.com/index/two-years-of-openai-academy/

The next AI divide is between learning and earning - Taha Bawa and Michele Malejki, World Economic Forum

Young people are rapidly adopting artificial intelligence (AI) but knowing how to use AI does not automatically translate into jobs or income. Training should extend to hands-on projects, such as internships and apprenticeships, so young people can hone their skills. A lack of access to devices, connectivity and professional networks can prevent young people from benefiting from AI.

https://www.weforum.org/stories/artificial-intelligence/ai-young-skills-jobs/

The economics of AI - McKinsey Quarterly

AI is getting more expensive for companies. As rising token usage and workflow complexity make costs harder to predict, leaders need new ways to manage AI economics. Even with token prices falling, AI operating costs keep rising. Companies that get it right understand the six drivers behind this gap.

https://www.mckinsey.com/quarterly/the-five-fifty/five-fifty-the-economics-of-ai

5 Ways AI Is Reshaping Student Success - Joshua Bay, Inside Higher Ed

Recent initiatives and research show the technology influencing how colleges identify students who may need additional help, where young people turn for emotional support, how students learn and experiment, and the skills they’ll need after graduation. At the same time, students themselves have expressed concerns about their dependence on AI and how well their institutions are responding to its rapid rise. Here are five ways colleges are drawing on artificial intelligence to reshape student success.

https://www.insidehighered.com/news/student-success/college-experience/2026/09/22/5-ways-ai-reshaping-student-success