PCWorld argues that Bing serves as a superior alternative to AI-heavy search engines by prioritizing human-authored content over automated summaries. AI search engines like Google's AI Mode often hide original sources and provide misleading information, with traffic to publishers dropping significantly.

Background: Determining an adequate sample size is essential for developing reliable and generalisable clinical prediction models, yet practical guidance on selecting appropriate methods remains limited. Existing analytical and simulation-based approaches often rely on restrictive assumptions and focus on mean-based criteria. We present and validate pmsims, an R package that uses Gaussian process surrogate modelling to provide a flexible and computationally efficient simulation-based framework for sample size determination across diverse prediction settings. Methods: We conducted a comprehensive simulation study with two aims. First, we compared three search engines implemented in pmsims: a Gaussian process-based adaptive method, a deterministic bisection method, and a hybrid approach, across binary, continuous, and survival outcomes. Second, we benchmarked the best-performing pmsims engine against existing analytical (pmsampsize) and simulation-based (samplesizedev) methods, evaluating recommended sample sizes, computational time, and achieved performance on large independent validation datasets. Results: The Gaussian process-based method consistently produced the most stable sample size estimates, particularly in low-signal, high-dimensional settings. In benchmarking, pmsims achieved performance close to prespecified targets across all outcome types, matching simulation-based approaches and outperforming analytical methods in more challenging scenarios. Conclusions: pmsims provides an efficient and flexible framework for principled sample size planning in clinical prediction modelling, requiring fewer model evaluations than non-adaptive simulation approaches.

Presearch's "Doppelgänger" is trying to help people discover adult creators rather than use nonconsensual deepfakes. For three days in February, porn star Alix Lynx flew to Miami for her first exclusive creator gathering where she was in full grind mode: shooting Reels and talking strategy with other creators. "It was kind of like SoHo House for OnlyFans girls," she says of the experience, which is called The Circle and drew more than a dozen sex workers, including Remy LaCroix and Forrest Smith. Lynx, who is a former webcam model turned OnlyFans starlet, has a combined 2 million followers across Instagram, TikTok, and X . She joined OnlyFans in 2017 with "the luxury of having my own following," she says, but those numbers haven't always translated to subscriptions. It's why she was in Miami.

Beyond mistakes or nonsense, deliberately bad information being injected into AI search summaries is leading people down potentially harmful paths. These days, rather than showing you the traditional list of links when you run a search query, Google is intent on throwing up AI Overviews instead: synthesized summaries of information scraped off the web, with some word-prediction magic added, and packaged together in a way to sound as accurate and reliable as possible. We've written before about some of the problems with these AI Overviews, which regularly contain mistakes or nonsense, and of course rip off the work of the human writers who actually know the answers to the questions you're putting into Google. There's another problem though--these AI answers can actually be dangerous. As with every other new technology through history, scams are now making their way into AI Overviews as well, apparently injecting Google's AI answers with fraudulent phone numbers that you shouldn't trust.

Apple could unveil Gemini-powered Siri in Feb. Yahoo Scout will be powered by Claude and is integrated across the company's products. Yahoo has a new AI-powered answer engine, dubbed Yahoo Scout. The new tool is available now in beta and is powered by Anthropic's . The company says Scout synthesizes info from the web, as well as Yahoo's own data and content when constructing responses to user's natural-language search queries. Yahoo says the interface will include interactive digital media, structured lists and tables and visible source links aimed at making answers easier to verify.

PCWorld reports that Google Search's AI Mode now incorporates Personal Intelligence, mining data from Gmail and Google Photos to deliver customized search results and travel recommendations. This development matters as it represents Google's push toward highly personalized AI experiences while users retain control over which services connect and how data is used. Google assures that personal data from these services won't be used to train its AI models, addressing privacy concerns as the feature expands beyond Gemini chatbot. Earlier this month, Google said its Gemini AI chatbot will be getting to know you a lot better thanks to a new Personal Intelligence feature that scours your digital life. Now, the company has announced that Personal Intelligence is also coming to Google Search's AI Mode . By connecting Gmail and Google Photos to Personal Intelligence, for example, the search engine's AI Mode will be able to provide you with search results tailored specifically to you. For example, AI Mode will use hotel bookings in your Gmail inbox and old travel photos in your Google Photos albums to recommend activities for an upcoming holiday.

When you purchase through links in our articles, we may earn a small commission. Here's how to get rid of them Are you tired of AI summaries in Google Search? Want the search results to look like they used to? Here are some tricks you can use. Unless you live under a rock, you've probably seen that Google Search has been showing "AI Overviews" at the top of its search results.