Parents are increasingly turning to generative AI tools like ChatGPT to create school portrait images for their children, often at a lower cost than traditional photographers. They upload photos and prompt the AI to add backgrounds and remove watermarks, effectively producing personalized school pictures without paying for professional prints. However, this practice raises concerns about privacy and data security, as uploaded images may be used to train future AI models without parental consent.
A two-year study across 18 Tennessee middle schools tested Khan Academy's AI tutor, Khanmigo, during math remedial sessions. Students who used the AI tutor experienced a slight improvement in math achievement, roughly equivalent to traditional practice, but engagement levels were low, with many students rarely interacting with the AI. The findings suggest that increasing student engagement with AI tutoring tools is crucial for realizing their full potential.
A custom content report from MIT Technology Review Insights describes how deep learning and generative AI are enabling continuous, real-time model training rather than periodic updates. It notes predictive engines now draw on unstructured data sources alongside traditional numerical records, with one commentator, Gupta, quoted saying the term 'analytics' is being subsumed by 'AI'.
Safeworld, founded by Carnegie Mellon's Dr. Ding Zhao, Kyle Wong, and Simo Rachidi, has emerged from stealth with a seed round exceeding $12 million led by Shine Capital and a16z Speedrun. The company evaluates robotic control systems using simulations populated with realistic human models, aiming to assess risk in generative AI-driven robots before deployment.
A wave of Facebook accounts, including one called 'America's Honor' with over 113,000 followers gained since July 2026, are posting AI-generated videos and images depicting fake soldiers, disabled veterans and prisoners of war. The content mimics real wartime footage and uses emotional scripts urging viewers not to scroll past, part of a broader pattern of 'warslop' spreading across the platform.
Kakul Srivastava, CEO of the sample platform Splice, said in a Verge interview that AI-written documents and emails undermine genuine workplace conversation. She emphasized that Splice, which is remote-first, relies on written documents followed by real human debate as its core collaborative tool, and argued that once it's unclear whether a person wrote something, the resulting discussion becomes worse and hard to recover from.
Industry sources describe software engineers increasingly unable to interpret code produced by large language models, with their jobs shifting from writing software to overseeing AI output. Infinity founder Jeremy Nixon and SemiAnalysis' Jordan Nanos cited examples, including OpenAI engineers reportedly unable to explain a GPU kernel generated for DeepSeek, despite the AI's code passing tests and performing correctly.
A University of Massachusetts professor argues that generative AI is used more productively when it is asked to challenge or critique a person's work rather than simply complete tasks for them. The recommendation centers on creating deliberate 'friction' between AI and user, with each questioning the other's output.
Audible rolled out three AI-powered tools—Interactive Story, Character Guide and Visual Explorer—to add immersive elements to audiobooks. The Interactive Story feature uses generative AI to let listeners converse with characters, such as Renfield from a new Audible Original adaptation of Dracula, with the character assigning a role and reacting to the listener's responses. The features are in beta and rolling out in limited form to US and UK customers.
Restaurant staff, including a New York server identified only as Madison, say diners increasingly cite ChatGPT to contradict staff on food allergens, wine selections and menu details. Some customers have insisted dishes don't contain allergens the kitchen confirms are present, or requested wine bottles that don't exist, trusting AI output over sommeliers and servers.
A market has emerged in which AI companies pay to license publisher content for training large language models, after years of scraping the open web largely for free using resources like Common Crawl. Publishers are now receiving payment, but reportedly have little or no influence over how that price is determined.
Developer Baldur Bjarnason writes that his training courses and ebook sales have dried up, alongside peers who ran similar businesses, as AI chatbots become the default way developers seek coding help. JavaScript writer Axel Rauschmayer says his book income fell from sustaining him in 2024 to zero in 2026, while traffic to his free online books surged from AI crawlers rather than human readers, prompting him to take his blog and books offline.
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