In this video, creator Matt Wolfe breaks down how to leverage "skills" and "plugins"—which are essentially reusable instruction files, advanced prompts, or bundled configurations—across popular AI developer environments and agent harnesses like OpenAI's Codeex and Anthropic's Claude Code. Instead of just adding context, these free tools instill repeatable, specialized behaviors in an AI agent. Wolfe highlights a variety of practical tools, starting with GStack from Y Combinator's Gary Tan, which transforms an AI into an entire virtual engineering team. He also highlights Stop Slop for stripping out generic "AI-isms" from text, and Last 30 Days for running deep, real-time sentiment research across the web. The video also explores highly visual and creative AI utilities. Wolfe demonstrates Graphify and Understand Anything, two tools that map complex codebases or personal knowledge databases into queryable, interactive knowledge graphs to significantly lower token costs and improve engineering onboarding. Finally, he compares specialized aesthetic enhancers like Anthropic's Front-End Design and the Taste skill for UI refinement, alongside animation tools like Remotion and HeyGen's Hyperframes, which write code to automatically generate motion graphics, video charts, and logo reveals from simple text prompts. [assistance with summary by Gemini Flash]
Tuesday, July 07, 2026
The symbiotic enterprise - McKinsey
The symbiotic enterprise - McKinsey
At scale, this transformation gives rise to a new enterprise model: the symbiotic enterprise, in which humans, AI agents, and intelligent robots each contribute according to their respective strengths within flatter organizations and under a new economic model, with technology becoming a primary cost driver. Beyond productivity, the symbiotic enterprise fundamentally changes the economics of growth by enabling organizations to innovate faster, adapt continuously, unlock new revenue opportunities, and scale through software rather than labor. Traditional advantages such as expertise, workforce scale, coordination complexity, and market frictions erode, lowering barriers to entry and enabling customer re-insourcing and AI-native competitors to challenge incumbents.
Monday, July 06, 2026
Amazon is joining RAISE US as a founding member to help workers prepare for the jobs of tomorrow. - Amazon
Amazon is partnering with RAISE US to help American workers develop skills for AI-era jobs. RAISE US brings together companies, policymakers, and educators to address the workforce impacts of AI. The coalition will further extend Amazon's reach to support communities and workers with the skills they need. Today Amazon is announcing that we’ve joined RAISE US as a founding member to develop the workforce of the future for our employees and communities. RAISE US is a new bipartisan coalition that brings together companies, policymakers, and leaders to accelerate the transition to the jobs of the future. AI is transforming how we live and work at a pace few of us could have predicted. At Amazon, we see this every day—in the AI-powered tools that help our customers, the systems that optimize our logistics network, and the generative AI services we offer through AWS.
https://www.aboutamazon.com/news/policy-new-views/amazon-joins-raise-us-ai-workforce
Americans and AI 2026: Chatbots, Smart Devices and Views on Impact - Jeffery Gottlieb, et al; Pew Research
About half of U.S. adults now report using AI chatbots, up substantially from the summer of 2024.1 This includes roughly one-in-four who use these tools on daily basis. Some people are bringing AI into their homes. About a third of Americans say they have a smart speaker, and smaller shares have a doorbell or thermostat with AI features. But Americans —including younger adults— are deeply skeptical of AI. More adults predict that AI will have a negative rather than positive impact on them and on society. And majorities think AI is advancing too quickly and will put their personal information at risk.
Sunday, July 05, 2026
Universities must help shut down the illicit AI detection economy - Benjamin Luke Moorhouse and James Mian Jia, Times Higher Education
Many institutions now treat the AI-likelihood scores they generate as evidence in academic misconduct procedures, and some universities are setting explicit thresholds above which disciplinary action may follow. However, the role of these tools is not always articulated clearly to students (or sometimes even to instructors). And this generates anxiety – and a black market in managing it. Students are naturally worried about the degree to which their use of AI will be deemed appropriate by markers and whether declaring certain AI uses may lead to academic integrity investigations and, potentially, disciplinary action. Moreover, while “academic integrity tools” advertise their systems as highly accurate, cases of false positives are frequently shared on social media. Many students will be aware that even the US Declaration of Independence has been flagged as AI-generated. And the tools have been found to be particularly prone to error when assessing texts written by non-native speakers of English – a particular issue in Hong Kong.
Teaching and Learning AI-mediated Information Problem Solving in Higher Education (ERIC). - Josien Boetje, Cabi Digital Library
In contemporary higher education, students are increasingly expected to manage and synthesize large volumes of online information. However, many struggle with effective digital information problem solving (IPS), a competence critical to academic success. Generative AI tools offer new opportunities for searching, synthesizing, and creating information. However, using generative AI uncritically in IPS may hinder students' IPS competence development and lead to the acceptance of biased or false information. Despite a growing consensus on the need to integrate AI literacy into the IPS curriculum, a clear, evidence-based pedagogical strategy is lacking. Empirical studies that specifically investigate the impact of GenAI on IPS competence in higher education are emerging but have not yet been systematically synthesized. This leaves educators without clear guidance on how to adapt their teaching to foster IPS competence in the GenAI era. This systematic literature review aims to synthesize the available empirical evidence on the influence of generative AI on teaching and learning digital IPS competence in higher education.
Saturday, July 04, 2026
Unis claim they teach critical thinking. AI is calling their bluff - Sinclair Davidson, Financial Review
AI can search, summarise, recombine, classify, draft, and generate alternatives. At best, it can be a useful learning assistant. It does not know which problems are worth solving, which assumptions matter, which sources should be trusted, or which conclusions should be defended under uncertainty. There is an old Socratic point here. Learning to prompt well is the old educational problem in new language – a good question is often worth more than a good answer. A weak student asks AI for a conclusion. Stronger students ask it to test assumptions, identify missing evidence, compare explanations, generate objections, or apply a principle to a new case.
Would You Trust AI for Ethical Advice? - Knowledge at Wharton
The scholars said the study reveals shifts in how people think about AI. The studies were conducted in 2023 and 2025, and the scholars said they would be curious to see whether results would change if they redid the experiments now. Despite all the improvements to large language models like ChatGPT, Terwiesch said there’s still something unnerving about taking advice from a machine. “There is some human desire in us that makes us want to listen to music generated by other humans, read a book written by a person. You are looking for somebody who has suffered, who has loved, who has experienced life. How can a computer that has never been alive relate to the human struggle?” he said. “I think this is a natural hesitation, which makes the [results] more remarkable.”
Friday, July 03, 2026
UB Research Positions Artificial Intelligence at the Centre of Academic Integrity and Data Governance - University of Botswana
The growing influence of artificial intelligence (AI) in higher education is reshaping how universities safeguard academic integrity and manage research data with the University of Botswana (UB) contributing to emerging global debates on how these technologies should be responsibly integrated into learning systems. At the centre of this conversation is research by Dr Dennis Kealeboga Mabalane, Manager: Content Design and Development in the Centre for Learning and Teaching Innovation (CLTI), which examines how AI-enhanced Turnitin integrated into the Moodle Learning Management System can be used to strengthen academic integrity and improve research data governance within universities.
Panelists say state, colleges must meet workforce needs as AI use grows - Matthew McFarland, News Tribune
The use of artificial intelligence will continue to grow at higher education institutions around the state, a panel of AI and education experts said Thursday. As part of a statewide forum on AI and data centers at the Missouri University of Science & Technology in Rolla, two Missouri education administrators and the CEO of a Cape Girardeau nonprofit focused on AI training took part in a panel on workforce development. Their message, overwhelmingly, was that higher education must adapt to AI, not fight it. "Are you going to stop fire? Are you going to stop the wheel? Are you going to stop the industrial revolution? You're not going to stop AI," said Hal Higdon, chancellor of Ozarks Technical Community College. "Fighting is futile, but learning to use it responsibly is the way."
Personalized talent cultivation and academic prediction framework for higher education based on the HA-GNN-LSTM architecture - Qi Gong & Jing Shi, Nature
To address the dilemma of homogeneous talent training and the efficiency bottleneck of human resource management in universities, this study proposes an innovative personalized training framework integrating artificial intelligence, big data, and deep learning. Based on the 18-dimensional full-cycle behavior dataset of 5,000 students and OULAD dataset, a multimodal heterogeneous data fusion pipeline is constructed.
The simulation results demonstrate that, under established constraints and historical sample distributions, advisor allocation response time could be reduced by 60% and resource idle rate could be decreased by 63.4%. These findings indicate the framework’s potential for optimizing educational resource allocation. However, its managerial benefits require further validation through subsequent real-world deployment and long-term follow-up studies.
Thursday, July 02, 2026
Studying the Use of Generative Artificial Intelligence in Undergraduate Research at the U.S. Military AcademyPeer-Review - John Scudder1, et al; Journal of Military Learning
At the U.S. Military Academy (USMA) in West Point, New York, where academic integrity and pedagogical rigor are foundational, initial guidance on generative AI was introduced in 2023. While it emphasized the importance of integrity and instructor-specific policies, the use of generative AI remained decentralized and varied across disciplines (Reeves, 2023). Given this context, faculty members across five academic programs initiated a collaborative, multiyear research project to track the adoption, utility, and implications of generative AI in student-driven research activities. This study aims to document and analyze the technological engagement and ethical considerations among cadets from the class of 2024 through the class of 2029.
How Artificial Intelligence Is Changing Healthcare, Manufacturing, Recycling and Education - Tech Business News
Artificial intelligence (AI) is no longer a future-facing technology sitting inside research labs. It is now being used in doctor’s offices, classrooms, factories, recycling plants, semiconductor research facilities and government departments. The real shift is not just that AI can generate text, images or code. The bigger change is that AI systems are now being connected to daily decision-making, physical infrastructure and professional workflows. That makes the technology more useful, but also more difficult to manage. Across industries, AI is being used to detect disease, support teachers, predict machine failures, sort waste, discover new semiconductor materials, analyse risk, automate service desks and assist with policy planning. At the same time, it is raising hard questions about bias, privacy, security, accountability and whether people can understand how an AI system reached its answer.
Wednesday, July 01, 2026
The Next 5 Years: A Supersonic Tsunami - Peter H. Diamandis, Metatrends
Elon described the near future as a “supersonic tsunami”: a wave moving so fast and so large that by the time you hear it coming, it has already broken over you. The phrase stuck with me. So let me lay it out in detail, with the actual numbers, because I don’t think most people have any real sense of what the next 60 months hold. Buckle up. Start with the price of intelligence, because it is collapsing faster than anything in the history of technology. According to the Stanford AI Index, the cost of tokens dropped 280x collapse in 24 months. For frontier models, the price has been dropping about 10x every single year, from $20 to about $0.40 per million tokens. Not 10% cheaper. Ten times cheaper, annually.
Re-educating graduates for the competitive job market - Amber Wang, University World News
As another record number of university graduates enter China’s job market this month, authorities are increasingly encouraging both students and unemployed graduates to be “re-educated” through vocational and skills-based training. Across China, cities and provinces are offering “technician class” programmes aimed at improving employment outcomes among young people. With strong backing from local governments, initiatives typically combine vocational education with internships and job placement opportunities in strategic industries. Local authorities in Beijing, Guangdong, Zhejiang and Anhui, together with vocational institutions, have recently launched a range of full-time training programmes as well as shorter subsidised skills courses.
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