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With AI, we need to reconsider what it means to learn

AIHub

"With AI, we need to reconsider what it means to learn" Generative AI has worked its way into every field over the past four years and is prompting us to reconsider our habits. At universities, students are using it to write, find information and solve problems, while scientists have already incorporated it largely into their research. Teachers are being called on to rethink how they do their job now that AI programs can complete - in just seconds - a number of tasks traditionally assigned to students. These are just some of the questions we explore in our special online report on AI at universities, published at the start of this new school year . These are also questions that Schwartz - a professor of educational technology at the Stanford Graduate School of Education and a faculty director at the Stanford Accelerator for Learning - has been studying for the past few years.


The coolest kitchen gear and gadgets well always recommend

Mashable

Gift Ideas For Everyone On Your List Mashable's Best: E-readers, robovacs, laptops, earbuds, smart home and more Mashable @Home In My Bag Safety Net Look Up Versus Trending Now Say More Creator Playbook Mashable Selects Getting Technical with Mashable All Series The coolest kitchen gear and gadgets we'll always recommend We tried them, we love them, and you need them. Previously, she was the site's Executive Editor and its very first Shopping Editor. Nicole is also Mashable's resident gifting expert and gets a thrill out of helping readers find the perfect present. She received a B.S. in Journalism from Boston University and an MFA in fiction writing from The New School. She lives in Maine with her husband, their three young children, and a backyard full of flowers .


The irony of OpenAI crying foul over spying

Al Jazeera

Americans can rest easy - for the moment, at least. The fine folks at the Federal Bureau of Investigation have thwarted a major national security threat . On October 9, the FBI arrested 35-year-old engineer Abdulrahman Alfozan, a Saudi citizen employed at the California-based artificial intelligence company OpenAI, the maker of the chatbot ChatGPT, and a firm that describes its mission as ensuring that "artificial general intelligence benefits all of humanity". A press release from the United States Department of Justice said that Alfozan was accused of installing a "surreptitious audio recording device" in an executive conference room at the OpenAI offices in San Francisco. The statement quoted Director of National Intelligence Jay Clayton's assessment that "this serious situation underscores why winning the global super intelligence race is a national security prerogative".


What's gone wrong at Nike? How the world's sportswear giant lost its mojo

BBC News

What's gone wrong at Nike? How the world's sportswear giant lost its mojo It's been a difficult few years for Nike. The largest sportswear brand on the planet, named after the ancient Greek goddess of victory, has been losing of late. The one-time industry disruptor is now the establishment and in the middle of a tricky turnaround plan aimed at clinging on to market dominance. Nike's latest financial results show signs a turnaround strategy put in place by company veteran Elliott Hill, who was coaxed out of retirement two years ago to lead the firm, is working - but the pace of change is more marathon than sprint. However, its recovery has been dented by the loss of football star Kylian Mbappรฉ, who ended his 20-year association with the brand last week to join fast-growing Swiss rival, On.


Introducing TIME Executives of the Year: Tech and Data

TIME - Tech

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Building the materials foundation for AI

MIT Technology Review

As AI pushes semiconductors and data centers toward new physical limits, advanced materials are becoming critical to performance, efficiency, and sustainability, says Mike Finelli, chief technology and innovation officer and chief North America officer at Syensqo. The AI boom is becoming a materials challenge. As AI pushes computing into new territory, the materials behind that infrastructure are becoming just as crucial as the algorithms running on it. Semiconductors and data centers are approaching physical limits around performance, thermal management, electrical efficiency, and reliability, creating new demands for materials that can do more at once. At the same time, AI is giving materials scientists new ways to search the enormous universe of possible molecules and accelerate the development of solutions. For Mike Finelli, chief technology and innovation officer and chief North America officer at Syensqo, that convergence is transforming what advanced materials can enable. "AI is now, from a material standpoint, really pushing semiconductors and the data centers to their physical limits," he says. As requirements accumulate, including high temperature, purity, electrical performance, chemical resistance, plasma resistance, and long-term stability, materials move toward what Finelli calls the "top of the pyramid."


Allowing AI firms to collude to 'pace the frontier' is a dangerous proposition

The Guardian

Allowing AI firms to collude to'pace the frontier' is a dangerous proposition Anthropic's Dario Amodei is not the first corporate CEO to suggest that excessive competition is driving the world to some socially undesirable outcome. The safety breach disclosed by OpenAI after a swarm of its agents coordinated to breach their supposedly secure sandbox, get on the Internet and hack AI platform Hugging Face, warrants urgent action. It demonstrated the ease with which the technology can evade human control and gave concrete form to the existential fears about what it could do to humanity if not securely leashed. The end of the world may well be nigh, as some in the AI industry have warned. These are truly scary times.


Robots in society, business and culture: August 2026

Robohub

In early August, The Information published an article that claimed U.S.-based founders, investors and startups, are travelling to an electronics market in Shenzhen to buy servomotors, sensors, controllers and gimbals. The report also claimed that Unitree and Zhiyuan robots are being bought intact, then stripped down into parts and carried back to the USA in suitcases. By late August, in a separate development, reports emerged that a US Department of Energy lab is investigating whether Chinese LiDAR sensors pose a security risk, if widely used on vehicles in the United States. According to TechCrunch, the research is being funded by one or more companies in the electric and autonomous vehicle industries. Don't cancel any Shenzhen travel plans just yet, but engineers at Princeton have unveiled a motorless, origami-inspired robot that can roll, crawl, and change shape through a combination of magnetic control and multistable geometry.


The Download: biotech's future and cheaper, cleaner steel

MIT Technology Review

Plus: Anthropic says it has blocked potential plots to build biological weapons. Every year, puts together our 35 Innovators Under 35, a list of some of the brightest and best young minds working across science and technology. This year's honorees include nine people transforming biotech, whose work spans everything from lifesaving innovations to groundbreaking longevity tech. Their innovations include a "reprogramming" therapy that reverses vision loss, tiny brain electrodes inspired by Japanese art, and a personalized gene-editing treatment for a baby with a rare genetic disorder. There are even efforts to design new viruses with generative AI, which (hopefully) will produce new drugs or soak up pollution. Get to know the biotech innovators behind these breakthroughs .


Robotics roadmaps from around the world spotlight of the month: United States of America

Robohub

Robots are a crowd-pleasing example of American innovation and global technological leadership. The latest press release of Boston Dynamics' executing the'Ghost Rabona' soccer kick highlights the increasingly natural movements of humanoids ( 1). At the other end of the spectrum, academic researchers are redefining the limits of miniaturization and building robots at the micrometer scale ( 2). Private and government funding propel foundational research forward, leading to breakthroughs in both hardware and software across U.S. labs and corporations ( 3, 4). Such progress reaffirms the U.S. as an intellectual and innovative powerhouse, a reputation that carries large geopolitical weight.