Search AI Products and News

Google DeepMind's AlphaEarth Foundations AI integrates multi-source satellite data via 64D embeddings, creating 10x10m Earth models. It processes 3B observations, reducing environmental monitoring errors by 24%, and enables cloud-penetrating analysis. Google will release 1.4T embedding footprints and research grants.....

Google released the AI model AlphaEarth Foundations, revolutionizing Earth observation through virtual satellite technology. The model integrates multi-source data such as satellites and radar daily, dividing the Earth's surface into 10-meter grids for long-term tracking, and uses color coding to intuitively present properties like vegetation and land surfaces. Its innovative compression technology reduces storage requirements to 1/16, significantly lowering costs. It has been applied in areas such as crop monitoring and deforestation tracking, with excellent test performance. The dataset is currently available on Google Earth Engine

ChatGPT conversations shared by users may be indexed by search engines, leading to privacy breaches. These publicly available conversations cover a wide range of topics, from daily inquiries to unusual questions. Although conversations are private by default, links that users actively share will be made public. OpenAI stated that this is just an experimental feature and has now decided to remove it, promising to enhance privacy protection. Experts remind users that even seemingly safe online sharing can carry information leakage risks, and users should remain vigilant.

Users discovered that ChatGPT shared conversation links were indexed by search engines like Google, raising privacy concerns. These public links contain various conversation content, from home renovation consultations to unusual questions. OpenAI explained that only conversations actively shared by users would be public, and the experimental feature has been canceled to prevent accidental exposure. Key points: 1) Shared links being indexed exposing private conversations; 2) Default conversations are private; 3) OpenAI has terminated the feature.

Google signed the EU AI Code of Conduct, becoming the first tech giant to commit, unlike Meta. The code requires ethical AI practices, including copyright compliance. The EU AI Act takes effect August 2, targeting high-risk models with full compliance within two years. Google supports it but worries about slow approvals and copyright limits hindering Europe's AI competitiveness.....

Google has launched a new AI search mode in the UK, powered by the Gemini 2.5 model, which supports complex questions and can handle multi-part queries. The new feature uses query expansion technology to break down questions into sub-topics for parallel search, providing more accurate answers. It supports multiple interaction methods, including text, voice, and images, allowing users to upload images or ask questions via voice. The AI mode evaluates the credibility of the answers, and if the confidence is low, it switches to traditional search results. This feature aims to improve the depth and efficiency of searches while promoting diversified website traffic. It is still under optimization, and Google encourages users to provide feedback on their experience.

Google upgrades the Imagen4 image generation model. Imagen4Ultra ranks third globally in authoritative rankings, with performance close to GPT-4o and Seedream3.0. The new version significantly improves image details, realism, and style consistency, and handles complex prompts more accurately. It has a clear price advantage, with the standard version at $40 per thousand images and the Ultra version at $60 per thousand images, far lower than GPT-4o's $167. The generation speed is 9.5 seconds per image, faster than GPT-4o but slightly slower than Seedream3.

Google's NotebookLM introduces video summaries, converting complex info into narrated slides. It auto-generates videos from user-uploaded images/charts. Demoed at I/O 2025, the feature will roll out gradually. Currently English-only, multilingual support planned.....

Google Chrome browser introduces an AI store review feature, displaying reputation information about merchants in terms of quality, price, and service through an icon in the address bar. This feature is currently only available in English, aggregating real user reviews from eight platforms such as Bazaarvoice. It is initially limited to desktop versions. In response to competition from AI browsers like Perplexity, Google is accelerating its AI integration and has added AI assistant support for Gemini users. This is part of Google's strategy to enhance the shopping experience, including product recommendations and virtual try-on features.

Chrome launches AI-powered store reviews (quality/experience/price) for US users, using Bazaarvoice data (English desktop only). Part of Google's strategy to compete with Amazon's AI shopping features and new AI browsers. Expanding AI shopping ecosystem with virtual try-ons, price comparisons, and Gemini integration.....

Google launches an experimental AI tool called Opal, allowing users to create mini applications by simply describing their needs in natural language. The tool provides a visual editor that supports adjusting prompts, adding features, or using templates, enabling users without programming experience to quickly build prototype applications. Completed apps can be shared via links, and the tool is currently available only in the United States. This move aligns with the trend of no-code AI platforms, similar to emerging tools like Cursor and Lovable, aiming to lower the barriers to app development. Although still in the testing phase, Opal demonstrates Google's confidence in the future of natural language programming.

Google AI system processed over 98 trillion tokens in June, more than double that of May. Tokens, as the basic unit for AI to understand text, their surge reflects the effectiveness of efficient reasoning models like Gemini Flash 2.5. This new model has 17 times the token processing capability of its predecessor, although the cost has increased 150 times, it significantly improves response accuracy, becoming a key factor in the sharp rise in data processing volume.

Google launches Opal, a no-code AI tool that converts natural language into visual workflows using Gemini for tasks like image processing. It simplifies AI development for all users, currently in US beta.....

Google experts stated that AI is integrated into search but SEO basics remain. Key points: 1) AI works on existing search infrastructure; 2) Content quality matters, not creation method; 3) AI models handle crawling to ranking; 4) AI summaries reduce clicks to regular results (8%) and source links (1%). Impact: AI summaries cause significant traffic drops despite unchanged rules.....

Google experts stated at Search Central Live that AI won't disrupt SEO fundamentals. AI functions within traditional search frameworks, keeping core rules unchanged. While SEO techniques remain the same, AI summaries reduce click-through rates for regular results, challenging website visibility and diminishing traditional sites' influence in AI-driven search ecosystems.....

Google introduces 'Web Guide' using Gemini AI to reorganize search results with smart categorization and AI summaries. Currently in testing, it enhances search efficiency with contextual answers.....

Openjourney integrates Google Gemini SDK for AI-powered image/video generation: 1) Imagen4 creates 1024x1024 HD images with MidJourney-style interface; 2) Veo3 generates 3-5s 720p videos from text, Veo2 animates static images; 3) Built with Next.js15 for smooth UX. Offers open-source alternative to MidJourney.....