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"At first glance, the change might seem relatively benign. Often, all folks surfing the web want is a quick-hit summary or snippet of something anyway. But it's not unfair to say that Google, which in April, according to data from SimilarWeb, hosted roughly 91 percent of all search traffic, is somewhat synonymous with, well, the internet. And the internet isn't just some ethereal, predetermined thing, as natural water or air. The internet is a marketplace, and Google is its kingmaker. As such, the demo raises an extremely important question for the future of the already-ravaged journalism industry: if Google's AI is going to mulch up original work and provide a distilled version of it to users at scale, without ever connecting them to the original work, how will publishers continue to monetize their work?"

"Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. Supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study."

"Users who once came to Facebook to connect with friends and family are increasingly complaining of random, spammy, junk content - much of it apparently generated by artificial intelligence - showing up in their feeds. Sometimes it's obviously fake, AI-generated images, like the now-infamous "Shrimp Jesus." Other times, it's old posts from real creators that look like they're being reshared by bot accounts for engagement. In some cases, it's pages sharing streams of seemingly benign but random content - memes or movie clips, shared every few hours."

"An NHS hospital in west London is pioneering the use of Artificial Intelligence (AI) to help check for skin cancer. Chelsea and Westminster Hospital said its AI technology has been approved to give patients the all-clear without having to see a doctor. Once photos are uploaded to the system, the technology analyses and interprets the images, with 99% accuracy in diagnosing benign cases, the hospital said. Thousands of NHS patients have had urgent cancer checks using the AI tool, freeing up consultants to focus on the most serious cases and bringing down waiting lists. The system conducts the checks in minutes, with medical photographers taking photos of suspicious moles and lesions using an iPhone and the DERM app, developed by UK firm Skin Analytics."

"Neither is perfect. Both are still in development. But they illustrate a critical point: AI is not inherently good or bad-it is shaped by design choices."