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"Let's return to my favorite analogy for thinking about issues surrounding youth and social media: cars. Cars can be incredibly dangerous! There's a reason we don't let kids drive them until a certain age, and even then, put all sorts of safety measures in place. Now, let's imagine every time you got into a car, you got a warning saying "This car might crash and kill you." This would certainly raise your awareness that cars are dangerous. It would scare you. But would it change your behavior? Now, let's say you added an "action" to the end: "This car might crash and kill you…but putting on your seatbelt right now will reduce the risk of death by 500%."   It's long been known that fear-based public health messaging cannot simply describe a threat-it also needs to recommend an action to be effective. First you learn what could go wrong, then you learn what to do to avoid it.  So, will warning parents that social media use "is associated with significant mental health harms for adolescents" actually change their behavior? Will it lead to them more effectively limiting, monitoring, and/or managing their kids' social media use? "

"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."

"There has also been, he says, "a real push in opinion pieces and popular-press books that are sloppy scientifically but stated so confidently. The ideas in these books are not peer-reviewed." The published studies they cite tend to have small samples and no control groups, and to be based on associations rather than proving cause. "People will say: 'The iPhone was invented in 2007 and Instagram became popular in 2012 and, oh my God, look, tech use has gone up at the same time mental health has gone down!' It seems like common sense - that's why you have this kind of consensus. But it just isn't scientific." In 2023, Przybylski and his colleagues looked at data from almost 12,000 children in the US aged between nine and 12 and found no impact from screen time on functional connectivity ("how different parts of the brain kind of talk to each other", he explains), as measured with fMRI scans while the children completed tasks. They also found no negative impact on the children's self-reported wellbeing. "If you publish a study like we do, where we cross our Ts, we dot our Is, we state our hypotheses before we see the data, we share the data and the code, those types of studies don't show the negative effects that we expect to see.""

"The Meta boss is gearing up to unleash AI tools to allow advertisers to fully create and target campaigns on his social media sites, prompting fears of the "death of creativity" - and widespread job cuts at agencies. Last week it emerged that these tools are to be rolled out by the end of next year, with Zuckerberg describing the capability in a recent interview as a "redefinition of the category of advertising. You don't need any creative, you don't need any targeting, you don't need any measurement, except to be able to read the results that we spit out," he said last month, in comments that appear to render much of the advertising industry obsolete."

"The mapping information could ostensibly tell third-parties when the owners are most often home, the shape of rooms, the size of houses, and even the frequency of cleanings. Gizmodo imagines that a room's shape could be valuable to Amazon as information on the acoustics of a room containing an Alexa device, informing both volume and directional settings so that its broadcasting and microphone can work properly. "