Q1. ギズモード・ジャパン20周年へのコメントをお願いします。おめでとうございます！ 2006年、初代編集長に呼ばれて渋谷・道玄坂のてっぺんにある（あった）編集部にお邪魔したことを、今でも色鮮やかに覚えています。当時はまだ紙の雑誌仕事が多…

bryanandaimee shares a report from ScienceDaily: A Finnish study has found an unexpected association between screen use and cognitive performance. Children who accumulated more screen time as they grew up tended to show better cognitive processing during adolescence. One of the researchers cautions against viewing screen time as entirely harmful and says the goal should be to balance physical activity with screen use that encourages active thinking. [...] "The findings suggest that screen time can support children's and adolescents' cognitive processing. Presumably, the essential point here is what kind of things they do in their screen time. Teachers and parents should encourage children to use devices and screens in such ways that promote active thinking, problem-solving, creativity and learning," states Doctoral Researcher Petri Jalanko from the University of Jyvaskyla. Digital activities that involve learning, creativity, problem-solving, or other forms of active mental engagement could potentially help explain the association observed in the study. "We should not regard screen time solely as harmful but seek balance between physical activity and screen time that promotes active thinking," Jalanko summarizes. The relationship between physical activity and cognition was more complicated. Among girls, greater amounts of light intensity physical activity since childhood were associated with better working memory during adolescence. Among boys, greater participation in guided physical activity from childhood through adolescence was linked to better working memory. The researchers also found an unexpected pattern involving unsupervised exercise. Lower levels of self-reported unsupervised physical activity were associated with better cognitive processing in adolescence. By contrast, physical activity and sedentary time measured using a device that tracked heart rate and movement were not associated with cognitive processing. One possible explanation is that these sensors can measure movement and physiological activity but cannot determine exactly what a person is doing during periods of activity or inactivity. The findings have been published in the journal Pediatric Exercise Science.

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いいじゃんいいじゃん、良い進化じゃん！来月にも発表かな？ と予想されている次期iPhone、iPhone 18 Proや初の折り畳み、iPhone Ultra。どんなiPhoneになるの？ ってのはこちらのページで噂をまとめていますが、さら…

Q1. ギズモード・ジャパン20周年へのコメントをお願いします。ギズモード・ジャパン20周年、おめでとうございます！ 現れては消えゆくウェブメディアでも、シッカリとした足場を作って長く続けてきたギズはホントに凄いですよね。ここまで来たら、1…

Stripe is acquiring AI model marketplace OpenRouter as it pushes beyond payments into the infrastructure behind AI applications. According to The New York Times, the deal is reportedly valued at about $7.5 billion, with $1.5 billion allocated to OpenRouter's founders. Less than three months ago the company was valued at about $1.3 billion. CNBC reports: OpenRouter has become popular with developers seeking to use AI models, particularly those considered non-proprietary and available for free. Many of these so-called open-weight AI models stem from Chinese labs like DeepSeek and Z.ai, which have gained steam among developers for generally being more cost-efficient relative to proprietary AI models from U.S. companies like OpenAI and Anthropic. In a blog post about the deal, Stripe noted that it's been working with companies to "optimize their token costs and route tokens efficiently," referring to a kind of metric used to measure AI model usage. Stripe said it's difficult to manage AI costs relative to performance because of the rapid "pace at which models are released and repriced." [...] OpenRouter said in a blog post that combining with Stripe will help with its overall vision of "a healthy AI ecosystem where many models thrive, where AI neurodiversity is a strength, where a lab or an inference provider with a breakthrough can reach millions of developers, and where no single model becomes the default by inertia." "Stripe is building the economic infrastructure for AI, and together with OpenRouter we'll help businesses maximize profitability by routing their requests intelligently and spending their tokens efficiently," Stripe CEO Patrick Collison said in a statement.

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An anonymous reader quotes a report from 404 Media: X's algorithm learns what you hate and shows you more of it, according to a new study just published in the Proceedings of the National Academy of Sciences (PNAS). The paper, titled Value misalignment of X's feed algorithm is a reflection of value tensions in engagement, found that the site's algorithm prioritized engagement above all else when it generated a user's For You Page. It also showed that X serves more ragebait to people who say they are Democrats, although the exact reason for that is unclear. "In 2026 that's maybe not the most surprising headline ever," Ziv Epstein, a postdoctoral researcher at Stanford University, and co-author of the paper, told 404 Media. "So we actually dug in a little deeper to figure out why this is actually happening, and it turns out that X's feed algorithm, like a lot of these social media algorithms, is optimized for engagement [but] it turns out that not all types of engagement are considered equally." The researchers found that X's algorithm can push users toward content that conflicts with their stated values, especially when they reply to posts that anger or provoke them. Although replies accounted for just 6.8% of interactions, they appeared to carry disproportionate weight: "It's this feedback loop of outrage baiting. The algorithm learns that you get outraged and then continues to serve more content in that direction," said Epstein. It's unclear why X seems to serve ragebait to Democrats more often than Republicans. 404 Media speculates that it may be because there's more rightwing content on X overall or that Democrats tend to engage with posts they disagree with more often. "There might be some kind of differential effects on information diets there, or it might be something more psychological about how different you know partisan identities are triggering different kinds of actions and reactions, but ultimately I don't want to speculate too much," said Epstein. X's former product chief Nikita Bier confirmed that the site had been set to favor replies. "This is no longer true," Bier said in a post on X. "The largest contributor of seeing ragebait was the reply predictor and we were aware that angry replies were causing people to see more of that content. So last month, we gave the reply predictor a 15x boost if it's a friend's post -- and it reduced ragebait by [an] order of magnitude."

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