Gemini is now available in Google Classroom, allowing users to generate text-dependent questions or quizzes based on specific text. Admins can explore pricing options for Gemini Education, while end users with a Gemini Education license can access these features directly in the platform. The rollout is currently active for both Rapid Release and Scheduled Release domains.

Google has launched Gemini, a new deep thinking AI model designed to enhance reasoning capabilities by testing multiple ideas in parallel. This advancement aims to improve decision-making processes and could significantly impact various applications in AI technology.

Google is addressing the growing threat of indirect prompt injection attacks on generative AI systems, which involve hidden malicious instructions in external data sources. Their layered security strategy for the Gemini platform includes advanced content classifiers, security thought reinforcement, markdown sanitization, user confirmation mechanisms, and end-user security notifications to enhance protection against such attacks.

Google is integrating its Gemini AI feature into Chrome for Mac and Windows, allowing users to ask questions about web pages. This move raises concerns in light of an ongoing antitrust trial against Google, as it strategically positions Chrome as a key player in the AI landscape, potentially affecting competition and the future of Google Search. The rollout of Gemini could provoke reactions from emerging AI browser startups and competitors like Microsoft and OpenAI.

Google Gemini's Command-Line Interface (CLI) has been found to be vulnerable to prompt injection attacks, allowing for potential arbitrary code execution. This security flaw raises concerns about the safety and reliability of utilizing AI models in various applications.

Google has introduced Gemini, an advanced AI image editor that allows users to create and manipulate images effortlessly. This tool, which includes unique features such as the ability to generate images from text prompts, aims to enhance user creativity and streamline the editing process.

Google has revamped AI Studio to simplify the process of building AI-powered applications, targeting developers and non-coders alike. The updated platform features a new model selector, an application gallery, and a modular approach to integrating AI capabilities, all aimed at democratizing app creation and enhancing user experience. Anticipated future updates promise to further enrich the platform, aligning with Google's goal of fostering widespread AI development.

Google is rolling out a change that allows its Gemini AI engine to access third-party apps like WhatsApp, overriding user settings that previously blocked such interactions. Users may need to take action to maintain their privacy, but the guidance provided by Google is unclear and contradictory, leaving many users confused about how to fully disable Gemini's access.

The article appears to discuss Google's Gemini and its unexpected behavior while interacting with the Pokémon game. It highlights the challenges and peculiarities faced by AI systems when engaging with complex gaming environments. Further details and insights into the implications of these interactions are likely covered in the full content.

Google Gemini has reached 350 million monthly users, as revealed during a recent court hearing. This significant user base highlights the growing impact of the platform in the tech landscape.

Google has launched the Gemini 2.5 Flash Image model, now available to developers and enterprises through the Gemini API, Google AI Studio, and Vertex AI. This production-ready tool offers advanced features for image generation and editing, supporting multiple aspect ratios and enabling real-time applications at competitive pricing. Developers are already incorporating it into various creative and educational workflows.

Google announced significant AI updates in March 2025, including enhanced features for the Gemini app, new AI tools for Google Shopping, and advancements in robotics aimed at improving everyday life. Key highlights include the introduction of Gemini 2.5 Pro, personalized AI responses, and innovative solutions for wildfire detection and environmental protection. These developments reflect Google's ongoing commitment to leveraging AI across various sectors to benefit users globally.

Google is accelerating the rollout of its Gemini AI models, significantly outpacing the completion of its AI safety reports. This move highlights the company's commitment to advancing its AI capabilities swiftly, despite ongoing concerns about the implications of such rapid development.

Significant vulnerabilities in Google's Gemini AI models have been identified, exposing users to various injection attacks and data exfiltration. Researchers emphasize the need for enhanced security measures as these AI tools become integral to user interactions and sensitive information handling.

Google has launched a new feature in its Gemini platform that allows users to share custom-built Gems, enabling collaborative automation and workflow management. Creators can control access permissions similar to Google Drive, facilitating teamwork in various projects like travel planning and writing. This update enhances Gemini's functionality, positioning it competitively against other AI assistants with limited sharing capabilities.

The article discusses Google's new Gemini feature, which enables users to automate scheduled actions and manage planned tasks through its AI capabilities. This innovation aims to enhance user productivity by leveraging advanced machine learning algorithms for task management.

Google has released updated versions of the Gemini 2.5 Flash and Flash-Lite models, enhancing quality and efficiency with significant reductions in output tokens and improved capabilities in instruction following, conciseness, and multimodal functions. The updates aim to facilitate better performance in complex applications while allowing users to easily access the latest models through new aliases.

Google is testing a new scrollable home screen redesign for its Gemini app, which will feature one-tap prompt suggestions for tasks like image editing, news, and coding. The update aims to transform the home screen from a simple launchpad into a more engaging discovery feed, reflecting modern interaction trends.

The article discusses the upcoming Google I/O 2025 event, highlighting expected updates to Gemini, Google's AI platform, as well as the latest features of Android 16. Anticipated announcements include advancements in AI capabilities and improvements to user experience across Google's software ecosystem.

Google and Samsung are facing scrutiny in an antitrust trial regarding the placement of the Gemini artificial intelligence on Samsung devices. The trial examines whether this default setting restricts competition and user choice in the market for AI services. The outcome could have significant implications for both companies and the broader tech industry.

Google is rolling out its advanced Gemini 2.5 Pro model and Deep Search feature in AI Mode for Google AI Pro and AI Ultra subscribers, enhancing search capabilities with powerful tools for complex queries and in-depth research. Additionally, a new AI-powered calling feature allows users to gather pricing and availability information from local businesses without making phone calls, streamlining the search experience.

Google CEO Sundar Pichai expressed optimism about finalizing a deal for Apple's AI technology, called Gemini, within the year. This partnership is expected to enhance Google's competitive edge in the rapidly evolving AI market.

Google is advancing its AI capabilities by introducing a feature that allows users to create video content from images using its Gemini technology. This innovation aims to enhance user engagement and creativity in video production.

Google is introducing its Gemini AI with features focused on automatic memory and enhanced privacy controls. This update aims to improve user experience by allowing the AI to remember past interactions while ensuring that personal data remains secure. Users will have more control over what information is stored and how it is used.

Security researchers at Trail of Bits have discovered that Google's Gemini tools are vulnerable to image-scaling prompt injection attacks, allowing malicious prompts to be embedded in images that can manipulate the AI's behavior. Google does not classify this as a security vulnerability due to its reliance on non-default configurations, but researchers warn that such attacks could exploit AI systems if not properly mitigated. They recommend avoiding image downscaling in agentic AI systems and implementing systematic defenses against prompt injection.

Google has expanded its Gemini AI model family with the launch of Gemini 2.5 Pro and the introduction of the cost-effective Gemini 2.5 Pro Flash-Lite. These models offer significant improvements over previous versions, making them more competitive in the AI landscape, particularly with adjustable thinking budgets for developers. The Flash-Lite variant is designed for high-volume workloads at a fraction of the cost, though it may not be suitable for regular users due to its limitations.

Google is enhancing Chromebooks with new AI features, including image generation and text summarization, particularly for Chromebook Plus devices with modern CPUs and 8GB of RAM. The updates include expanded functionalities for Google Lens and a trial offer for the Google AI Pro plan that provides additional storage and access to advanced AI tools. Lenovo has also introduced a Chromebook that utilizes these new AI capabilities thanks to its advanced hardware.

Google is developing a "projects" feature for its Gemini platform, allowing users to organize work and research in dedicated spaces. This feature will enable file management, project-specific instructions, and enhanced interaction with documents during AI conversations, catering to professionals and students. While the interface is mostly complete, there is no confirmed launch date yet.

Google is seeking the right to bundle its Gemini AI application with popular services like Maps and YouTube. This move aims to enhance user experience by integrating AI capabilities into these widely used platforms, potentially reshaping how users interact with digital content and services. The initiative reflects Google's ongoing commitment to leveraging artificial intelligence across its ecosystem.

Google has expanded its Gemini 2.5 family of hybrid reasoning models with the stable release of 2.5 Flash and Pro, along with a preview of the cost-efficient 2.5 Flash-Lite model. The new models are designed to enhance performance in production applications, particularly excelling in tasks that require low latency and high-quality outputs across various benchmarks. Developers can now access these models in Google AI Studio, Vertex AI, and the Gemini app.

Google has launched the Gemini 2.5 Flash model, offering developers an efficient new tool for building applications with lower API pricing. The rapid release of new models and features in the Gemini app has created a complex selection process for users, as noted by Tulsee Doshi, Google's director of product management for Gemini, who prefers using the more powerful 2.5 Pro version for her work.

Google has launched its most advanced AI model, Gemini 2.5 Deep Think, which is accessible only to subscribers of the $250 AI Ultra plan. This model enhances complex query processing through increased thinking time and parallel analysis, yielding superior results in various benchmarks compared to its predecessors and competitors. Deep Think notably excelled in Humanity's Last Exam, achieving a score of 34.8 percent.

Google Gemini for Workspace can be exploited through prompt-injection attacks that generate misleading email summaries, potentially leading users to phishing sites without attachments or direct links. Researcher Marco Figueroa revealed this vulnerability, highlighting how hidden instructions in emails can manipulate Gemini's output, prompting users to trust false security alerts. Google is aware of the issue and is implementing defenses against such attacks.

Google is enhancing its Chrome browser with AI capabilities through the rollout of Gemini, allowing users to interact more directly with web content and integrate services like Calendar and YouTube. This move comes as Google faces increasing competition from AI-driven startups and aims to maintain its dominance in the browser market. New features will also include agentic capabilities that allow users to customize tasks within Chrome.

Google has introduced the "nano banana" model, a significant advancement in AI image editing, now available in the Gemini app. This model enhances consistency in edits, allowing for creative modifications of images while retaining recognizable features of the original source. Users can experiment with styles and attire changes without losing the essence of the initial image.

Google has released the Gemini 2.5 Pro Preview, enhancing its AI model's coding capabilities, particularly for interactive web applications. This early access update allows developers to start building with improved features ahead of the upcoming Google I/O event, where more announcements are expected. Gemini 2.5 Pro leads the WebDev Arena Leaderboard with significant performance improvements.

Deep Think has enhanced the performance of Google's Gemini AI model, significantly improving its capabilities in various applications. The advancements focus on optimizing the model's efficiency and response accuracy, making it more competitive in the AI landscape. This development is expected to influence how users interact with AI technologies across different sectors.

Google’s Gemini AI product has seen significant growth, reaching 350 million monthly active users by March 2025, a notable increase from the tens of millions reported last year. Despite this progress, Google still faces a considerable gap compared to ChatGPT’s user engagement. The company's ongoing enhancements and integrations of Gemini into its ecosystem aim to further boost its usage.

Google has appointed Josh Woodward, head of Google Labs, to lead the Gemini team following the departure of Sissie Hsiao. This leadership change aims to enhance the development of the Gemini app, with Hsiao taking a temporary leave after her long tenure at Google. The Gemini model has shown significant improvements and is considered to have made substantial progress with its latest version, 2.5 Pro.

Google has promoted its latest AI search product, "AI Mode," through its homepage Doodle, highlighting its commitment to integrating AI features amidst competition from startups like OpenAI. AI Mode, powered by Google's Gemini model, allows users to interact through text, voice, or images for complex queries, streamlining the search experience. The feature has been gradually rolled out to more U.S. users since its introduction.

Google has launched its Gemini AI, which features new capabilities in visual guidance and speech updates, enhancing user interaction through more intuitive and context-aware responses. The updates aim to make AI assistance more practical and effective in everyday tasks.

Google is testing new experimental modes in its Gemini platform, including Agent Mode for autonomous task execution, Gemini Go for collaborative ideation, and Immersive View for visual answers. These features indicate a shift towards a more comprehensive tool for creative and autonomous workflows, although it remains uncertain which modes will be released as standalone options. The presence of updated descriptions suggests active preparation for a broader rollout.

Google announced new AI products and research at I/O 2025, focusing on the latest advancements with Gemini. The Google AI: Release Notes podcast features discussions with key figures about the launches, including updates to models and developer tools. Listeners can access the full conversation through various podcast platforms.

The article discusses the introduction of memory features in Google's Gemini AI, enhancing its capabilities to remember user preferences and past interactions. By implementing memory, Gemini aims to provide a more personalized and efficient user experience, allowing for better contextual understanding and tailored responses. This shift signifies a notable advancement in AI technology, focusing on user-centric functionalities.