If you're tired of sponsored and AI-summarized search results, Kagi gives you a curated--and human-centric--way to find what you're looking for. If you're of a certain age, you'll remember the way the web used to be: sites made and developed by humans. You could load up a directory like AltaVista or Yahoo and click through categories including Home & Family, Science, and Computers. In those listings you'd find pages put together by hobbyists, academics, and tech nerds. People gathered around forums and bulletin boards, and web developers tended to avoid putting images on their sites because it would slow down page loading.

Google has been fined €890m (£759m) by the EU for allegedly abusing its power by favouring its own apps and services over those from rivals. It is the first major action against the tech giant under the EU's Digital Markets Act (DMA), a landmark law aimed at curbing the power of the world's biggest tech companies. The Commission argued Google's practices limited consumer choice and gave its own services an unfair advantage over rivals. But the firm criticised the decision, arguing the EU's requirements could damage services used by millions of European customers. To comply, we are having to strip away real-time Search features Europeans love - like instant pricing and direct availability for hotels, flights and restaurants - and dismantle safety protections on Google Play, said Google's president of global affairs Kent Walker.

The European Union has fined Google 890 million euros ($1bn), saying the technology giant broke digital antitrust rules by steering users of Google Play and its search engine towards its own services and apps at the expense of rivals. Thursday's penalty is the latest in Brussels' crackdown on Big Tech, which has seen the bloc lead the world in reining in the largest firms from Silicon Valley to Beijing. The European Commission, the bloc's executive branch, said it was acting in the interest of consumers. "The best products should succeed because they're better, not because they're owned by the company running the search engine. And European consumers have a right to be told by app developers where to sign up to the best offers, even when the app store owner does not get a cut," said Teresa Ribera, the commission's executive vice president for clean, just and competitive transition.

Google Search AI poses'unacceptable risk' to kids, report finds A new report from a California-based nonprofit says the artificial intelligence features built in to Alphabet's Google Search pose an unacceptable risk" to children. The artificial intelligence features built in to Alphabet's Google Search pose an "unacceptable risk" to children, according to a new report from the Youth AI Safety Institute at Common Sense Media, a California-based nonprofit. The study found that on test accounts configured for minors, the ubiquitous search engine's AI features failed to detect suicide risks, said an eating disorder symptom was normal, and provided instructions for creating deepfakes, or sexually explicit fake content. The report added that unlike standalone chatbots, Google's AI tools are built directly into the default search experience on school and personal devices, currently offering administrators or parents no way to disable them. The report specifically evaluated AI Overviews, which generate automated answers above traditional search results, and AI Mode, a conversational feature that lets users chat back and forth with the search engine. Rather than matching searches to a list of external links, the new features use generative AI to answer complex questions directly on the search page -- a format critics say presents the automated summaries as if they are definitive answers.

Google is rolling out a search services history setting that controls whether Google Lens images, voice search audio and AI mode interactions are saved to train AI.

The hosting platform wants sites to have more control over how AI companies use their content. Cloudflare has announced plans to automatically block mixed-use web crawlers that index websites for search engines and act as AI agents and trainers at the same time. The company previously offered its customers the optional ability to prevent crawlers from scraping their sites for AI chatbots, but now Cloudflare's stance is becoming more defensive by default. Now that the majority of traffic on the Internet is non-human, we must go further and act faster so that a sustainable ecosystem can emerge, Matthew Prince, Cloudflare's CEO and co-founder shared in a statement. Cloudflare's new tools and partnerships give website owners increased visibility and commercial opportunities and benefit AI companies that have bots with clear and transparent intent.

Google's Search history update stores media uploads from your interactions, like images used in reverse image searches, for training its AI models. A little piece of my soul shrivels up every time I get a message laying out how another company plans to use personal data in ever encroaching ways for AI training . I got one of those emails recently from Google, with the subject line: "New privacy settings for Search services." It's part of Google's global rollout happening over the next few months that will change how it handles users' Search history data. Every piece of media, from photos you upload for reverse image searches to audio of you speaking with Google Translate, may be retained in your account and used to improve Google's AI models.

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The current paradigm of test-time scaling relies on generating long reasoning traces ("thinking" more) before producing a response. In agent problems that require interaction, this can be done by generating thinking traces before acting in the world. However, this process does not allow agents to acquire new information from the environment or adapt their behavior over time. In this work, we propose to scale test-time interaction, an untapped dimension of test-time scaling that increases the agent's interaction horizon to enable running rich behaviors such as exploration, backtracking, and dynamic re-planning within a single rollout. To demonstrate the promise of this scaling dimension, we study the domain of web agents.

Vision-language models have demonstrated impressive capabilities as computer-use agents (CUAs) capable of automating diverse computer tasks. As their commercial potential grows, critical details of the most capable CUA systems remain closed. As these agents will increasingly mediate digital interactions and execute consequential decisions on our behalf, the research community needs access to open CUA frameworks to study their capabilities, limitations, and risks. To bridge this gap, we propose OPENCUA, a comprehensive open-source framework for scaling CUA data and foundation models. Our framework consists of: (1) an annotation infrastructure that seamlessly captures human computer-use demonstrations; (2) AGENTNET, the first large-scale computer-use task dataset spanning 3 operating systems and 200+ applications and websites; (3) a scalable pipeline that transforms demonstrations into state-action pairs with reflective long Chain-of-Thought reasoning that sustain robust performance gains as data scales.