Wednesday, August 19, 2026
Focus on the Quantum Future - Ray Schroeder, Inside Higher Ed
Tuskegee University Awarded Nearly $700,000 NSF Grant to Advance Trustworthy Artificial Intelligence in Healthcare - Brittney Dabney, Tuskegee University
Tuesday, August 18, 2026
AI-Enabled Ghost Student Fraud: How IT Leaders Are Fighting Back - Adam Stone, EdTech
Generative artificial intelligence is fueling a surge in ghost student fraud. Learn how layered identity verification, behavioral analytics and AI-driven pattern detection help higher ed IT leaders stop fraud rings before disbursement. First, there was the zombie college scam. Now it’s “ghost students,” bad actors leveraging artificial intelligence to create fake identities and enroll imaginary students to scoop up grants and loans. AI tools now allow synthetic identities to mimic genuine student behavior long enough to collect financial aid disbursements, and traditional enrollment systems are falling short. The schemes are costing the U.S. taxpayers hundreds of millions of dollars in siphoned-off federal financial aid packages
How AI Actually works - Cris Tolomia, Quartz
This piece is not about whether AI is good or bad. It's about what it actually is: how it learns, how it generates output, where its failures come from, and why the problems that afflict these systems are structural rather than incidental. Understanding these things won't make you a machine learning engineer. It will make you a sharper reader of AI coverage, a more careful user of AI tools, and a better judge of claims made by the companies building them. The 15 concepts here cover the full chain — from how models are trained to why they hallucinate, from what "parameters" actually means to why the alignment problem is harder than it looks. Some of these ideas are technical but not complicated. Others are philosophical but grounded in real engineering decisions. All of them matter if you want to engage honestly with the technology reshaping how work gets done, how content is made, and how decisions are reached in medicine, law, finance, and government.
Monday, August 17, 2026
Building expertise in the age of AI: Who trains the next generation? - Bryan Hancock, McKinsey
For decades, organizations have relied on early-career talent to do the routine, lower-risk work that supports the business and to serve as a training ground for future leaders. Think of Peggy Olson’s trajectory on Mad Men, from novice assistant to Don Draper’s protégé to confident copy chief at an advertising agency—a climb that began because routine work kept her in the room where judgment was practiced, and where her own could be noticed. In real life, advances in automation and AI are changing the composition of entry-level work itself. Tasks such as research, documentation, data cleanup, basic coding, and preliminary analysis are being streamlined or absorbed into AI systems. These are precisely the activities through which young employees have traditionally built instincts, developed judgment, and earned the right to take on more. At the same time, fears are growing about the impact of AI on jobs. In the 2025 Women in the Workplace report by McKinsey and LeanIn.Org, entry-level workers, particularly women, reported feeling the most worried of all age groups about how AI use will affect their jobs.
Engineers build world's first portable diamond-powered quantum computer — it works at room temperature and can be plugged into an outlet - Tristan Greene, Live Science
Sunday, August 16, 2026
Microsoft's latest quantum chip is 1,000 times more reliable than its predecessor — but why is it so controversial? - Keumars Afifi-Sabet, Live Science
Employers everywhere are using AI – but business schools aren’t preparing students for the shift -Murugan Anandarajan, Stacy Kline, the Conversation
Saturday, August 15, 2026
USC pushes to expand AI research with $200 million gift - Guarav Sukhatme, Stevens School of Computation and Artificial Intelligence
How to make your academic work visible to AI - Darshan Vigneswaran, Times Higher Education
Here is the brutal truth about AI discoverability: it is not replacing citation metrics. It is layering itself on top of them. So, work that is already cited, circulated and sitting inside recognisable debates is likely to become even more visible. The rich get richer, now with a chatbot assistant. If Google Scholar sometimes buries obscure work, AI tools might simply forget it was ever born. This is grim news for anyone who believes good research should glow naturally in the dark. It does not. Visibility is not a moral reward for intellectual virtue. It is a distribution problem.
Friday, August 14, 2026
AI is changing the classroom. Here's what students and parents need to know this school year - MCEC, University of South Carolina
How an AI-integrated anonymous chatroom boosted AI literacy and inclusion - Fridolin Ting, Times Higher Ed
Thursday, August 13, 2026
Improving GPT‑5.6 Sol in ChatGPT—and expanding access to GPT‑5.6 Luna for free users - OpenAI
Our mission is to ensure that artificial general intelligence benefits all of humanity. We’re introducing updates to ChatGPT that improve everyday conversations while expanding access for Free users. For Plus and Pro users, we’re updating GPT‑5.6 Sol in Chat to be more reliable with facts and provide more focused answers. A new slider lets you choose how much thought ChatGPT puts into each response. For Free users, we're updating the default model to GPT‑5.6 Luna and expanding access with unlimited text chats. For questions that need more thought, a new Think button lets you access higher reasoning for harder questions.
AI transformations: Views from AMD, Dell, Liquid AI, and Mercedes-Benz - McKinsey
Artificial intelligence is no longer a side initiative. It’s becoming the operating system of the enterprise. Dell Technologies has used AI to transform how its teams work, enabling it to decouple revenue and cost while improving customer outcomes. Mercedes-Benz is redefining personalization through AI-powered conversational interfaces and software-defined vehicles. AMD is building AI fluency company-wide through mandatory training and responsible governance. And Liquid AI is pushing intelligence beyond centralized data centers and onto the edge—into vehicles, devices, factories, and industrial systems. The question these leaders are answering is no longer whether AI will transform the enterprise, but how fast and how deeply.
Wednesday, August 12, 2026
Teachers Forge Ahead on Integrating AI - Ed Finkel, EdSurge
A new report highlights teacher-led adoption, student demand for feedback, and a growing push for tools tailored specifically to the classroom. New findings from Turnitin highlight the growing leadership role of teachers integrating artificial intelligence into the classroom, the demand for education-specific AI solutions, and the importance of guiding students toward using AI as a tool for learning rather than a substitute for thinking. Based on data gathered during the first half of 2026 and an analysis of how students use the Turnitin Clarity AI writing transparency tool, the “Learning Integrity Insights Report Q2” revealed 48% of respondents reported that teachers and administrators take primary responsibility for AI implementation at their schools and districts, far more than do technology leaders (17%) and cross-functional committees (16%).
https://www.edsurge.com/news/teachers-forge-ahead-on-integrating-ai
The next employability crisis won't be about jobs; it'll be about learning - Sheeba Chauhan, IndiaTimes
Tuesday, August 11, 2026
Differential engagement with generative artificial intelligence in higher education: Gender, motivation, and achievement trajectories - uan-Hsuan Lee & Jiun-Yu Wu, International Journal of Educational Technology in Higher Education
Engagement frequency was shaped by learner differences: female students, those with stronger autonomous motivation, lower prior knowledge, and higher course performance interacted more frequently, while higher-performing students were less likely to abstain from use. Importantly, engagement was not merely a matter of frequency but of inquiry quality and diversity. Growing Achievers (students who began with weaker achievement but demonstrated substantial performance gains) posed more diverse and conceptually oriented questions. In contrast, Declining Performers engaged minimally and focused on narrower, procedural inquiries despite stronger initial knowledge.
Nearly three in five students say they turn to AI when sad, stressed, or lonely, JED research finds - Emma Thompson, EdTech Innovation Hub
Monday, August 10, 2026
A $40,000-Per-Year AI School With No Teachers Is Opening in Oklahoma - Maya Henry, Good Men Project
AI and SMEs: From Automation to Growth - The AI Professor Luca
In this episode of The AI Professor, host Professor Luca highlights artificial intelligence as a major competitive equalizer for small and medium-sized enterprises (SMEs) [00:00]. Drawing from an MIT Technology Review report, he explains that AI helps small teams manage multi-disciplinary roles—such as administration, marketing, and finance—freeing up the entrepreneur’s time to focus on strategic growth and innovation rather than simple task automation [00:26]. Data from a Goldman Sachs study reveals that while 76% of surveyed small businesses already use AI and 84% report increased productivity, only 14% have fully integrated AI into core workflows, citing key hurdles in cybersecurity, tool selection, and technical skill gaps [01:24]. Expanding the scope to medium-sized businesses, insights from the World Economic Forum indicate that generative AI holds over $2 trillion in potential value for the sector, though pilot projects often fail when organizations try to automate indiscriminately without updating underlying skills and processes [02:19]. Luca concludes that long-term competitive advantage will not come from standard chatbots, but from thoughtfully integrating AI into core workflows alongside human oversight and expertise [02:45]. Summary by Gemini Flash