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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.
The Gemini app has undergone a redesign of its homepage and web tools, aiming to enhance user experience and accessibility. The updates include a more streamlined interface and improved functionality to better serve its users' needs.
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.
Gemini Code Assist enhances the code review process in GitHub by providing instant summaries, identifying bugs, and suggesting improvements, which allows developers to focus on more complex issues. With the integration of the advanced Gemini 2.5 model, feedback is more accurate and actionable, leading to higher code quality and increased developer satisfaction, as evidenced by early adopters like Delivery Hero.
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.
Gemini 3.0 has been spotted in A/B testing on Google AI Studio, showcasing its advanced coding performance through SVG image generation. The author tested the model by creating an SVG image of an Xbox 360 controller, noting impressive results compared to the previous Gemini 2.5 Pro model, despite longer processing times.
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.
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.
Gemini's photo-to-video capability allows users to transform images and illustrations into engaging eight-second video clips with sound. The article outlines three creative uses for this feature: animating illustrations, turning photography into motion pictures, and articulating artistic visions more effectively. It also emphasizes the importance of detailed prompts for achieving high-quality results and encourages users to explore AI-generated media as a tool for enhancing their creative projects.
Gemini Live is evolving into a more helpful AI assistant with enhanced visual awareness, allowing users to receive on-screen guidance and interact seamlessly with various Google apps. The updates include improved conversational abilities, such as more natural speech and the capability to control Gemini's voice, making interactions more intuitive and engaging. These features will roll out soon, starting with the Pixel 10 series and expanding to other devices.
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.
Gemini 2.5 Pro has been upgraded and is set for general availability, showcasing significant improvements in coding capabilities and benchmark performance. The model has achieved notable Elo score increases and incorporates user feedback for enhanced creativity and response formatting. Developers can access the updated version via the Gemini API and Google AI Studio, with new features to manage costs and latency.
The article discusses the concept of "Gemini bounding boxes," focusing on their application and significance in a specific domain. It explores how these bounding boxes can enhance performance and accuracy in various tasks, although the specific details of the implementation are not provided.
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.
The article discusses the latest updates to the Gemini live swipe left user interface, highlighting various tweaks that improve user experience and functionality. These modifications are aimed at making interactions more seamless and intuitive for users.
Gmail is introducing a new feature called "Help Me Schedule," which utilizes Gemini AI to assist users in scheduling meetings by suggesting available times as they compose emails. When activated, an in-line meeting widget allows recipients to easily select a time that works for them, streamlining the scheduling process, although group scheduling will not be supported at launch. This feature is part of Google's broader rollout of AI capabilities across its products.
Gemini app users can now upload and edit images with new AI-powered features, allowing modifications such as changing backgrounds and replacing objects. This intuitive editing capability enhances user interaction by integrating text and images, while also ensuring all generated images include a digital watermark for authenticity. The rollout of these features will expand to users in over 45 languages and most countries in the coming weeks.
Google has launched the Gemini Embedding model (gemini-embedding-001), now available to developers via the Gemini API and Vertex AI, showcasing superior performance on the Massive Text Embedding Benchmark. This versatile model supports over 100 languages and features flexible output dimensions, allowing developers to optimize for performance and cost. Users are encouraged to migrate from older models before their deprecation dates, with enhanced features like Batch API support coming soon.
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.
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 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.
The Gemini Batch API now supports the new Gemini Embedding model and offers compatibility with the OpenAI SDK for batch processing. This enhancement allows developers to utilize the model at a significantly lower cost and higher rate limits, facilitating cost-sensitive and latency-tolerant use cases. A few lines of code are all that's needed to get started with batch embeddings or to switch from OpenAI SDK compatibility.
Google has launched an early preview of Gemini 2.5 Flash, enhancing reasoning capabilities while maintaining speed and cost efficiency. This hybrid reasoning model allows developers to control the thinking process and budget, resulting in improved performance for complex tasks. The model is now available through the Gemini API in Google AI Studio and Vertex AI, encouraging experimentation with its features.
Figure Technology Solutions is aiming to raise approximately $526 million in its IPO, while Gemini seeks to secure up to $361 million. Both companies recently updated their IPO filings, highlighting the growing interest in the crypto IPO market.
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.
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 I/O 2025 unveiled significant advancements in AI across various products, including the Gemini app and new features for AI Mode in Search. Users can now access interactive tools, enhanced shopping experiences, and updated generative models, all aimed at improving functionality and user engagement. Additionally, new subscription plans like Google AI Ultra offer expanded capabilities and storage options for users.
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.
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.
The course "Analyze and Reason on Multimodal Data with Gemini" is an intermediate-level training that takes 1 hour and 45 minutes to complete. It focuses on developing skills to analyze various data types such as text, images, audio, and video, and teaches how to integrate this information for insightful conclusions.
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 announced several advancements in AI technology in June 2025, including the launch of the Gemini 2.5 family of models and new features for AI Mode that enhance search capabilities. Other highlights include Gemini for Education, improvements to photo search, and the introduction of AlphaGenome for genomic research, showcasing the diverse applications of AI across various fields such as healthcare, education, and robotics.
The article discusses the latest advancements in artificial intelligence, particularly focusing on the Gemini project and its implications for various sectors. It highlights the potential benefits and challenges posed by AI technologies, emphasizing the need for ethical considerations and regulation as these tools become more integrated into daily life.
Gemini Advanced subscribers can now utilize the enhanced Deep Research feature powered by the Gemini 2.5 Pro Experimental AI model, which has shown superior performance in generating research reports compared to other providers. Users are experiencing improved analytical reasoning and synthesis of information, alongside the ability to create audio overviews of their reports for convenient listening. Access is available on web and mobile for Google Workspace users, although mobile app support is still pending.
Google CEO Sundar Pichai highlighted significant advancements in AI at Google I/O 2025, showcasing the rapid progress of the Gemini models, the introduction of innovative tools like Google Beam and Agent Mode, and the expansion of AI capabilities across Google products. The event emphasized the importance of personalization and real-time communication, marking a transformative phase in the integration of AI into everyday applications and user experiences.
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 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 has released the Gemini 2.5 Pro Preview, an updated version that enhances coding performance for developers, particularly in front-end web development and UI design. With improved features like video understanding and aesthetic web app creation, the model aims to streamline the development process while addressing key feedback from users. Developers can access the new capabilities through the Gemini API in Google AI Studio and Vertex AI.
An advanced version of Gemini with Deep Think achieved gold-medal performance at the International Mathematical Olympiad by perfectly solving five out of six problems, scoring a total of 35 points. This marks a significant improvement over the previous year, as the model now operates end-to-end in natural language, producing rigorous mathematical proofs within the competition's time limit. Google DeepMind aims to further enhance AI's capabilities in mathematics through ongoing collaborations and research advancements.
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.
Gemini models 2.5 Pro and Flash are revolutionizing robotics with advanced coding, reasoning, and multimodal capabilities, enhancing robots' spatial understanding. Developers can utilize these models and the Live API for applications such as semantic scene understanding, spatial reasoning, and interactive robotics, enabling robots to execute complex tasks through voice commands and code generation. The article highlights practical examples and the potential of Gemini's embodied reasoning model in various robotics applications.
Gemini Advanced users can now generate high-resolution videos using the Veo 2 model, which translates text prompts into dynamic video content. This feature, available through Google Labs' Whisk, allows users to create and share engaging videos easily across various platforms, while ensuring safety with embedded digital watermarks. The video generation capability is rolling out to subscribers globally.
The Gemini Wallet has been launched as a simple and secure tool for users to manage their on-chain assets. It aims to enhance the user experience in navigating the digital asset space with a focus on security and ease of use. The wallet supports various cryptocurrencies and integrates seamlessly with the Gemini exchange platform, making it a convenient option for both new and experienced users.
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 DeepMind's new image editing model, Nano Banana, available in the Gemini app, allows users to creatively transform images with unprecedented control. Users can blend photos, change parts of images, and create unique characters or scenes, as showcased through various imaginative prompts. This update enhances the possibilities for personalized image creation and storytelling.
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 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 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.
Gemini 2.5 Pro Preview has been released ahead of schedule, featuring enhanced capabilities for coding and building interactive web apps. This update builds on positive feedback from the previous version, improving performance in UI development, code transformation, and multimodal reasoning, and now leads the WebDev Arena Leaderboard. Developers can access these features through the Gemini API and Google AI Studio.
Google has launched Web Guide, an experimental feature in Search Labs that utilizes AI to organize search results more effectively. By grouping related web links and employing a custom version of Gemini, it aims to enhance user experience by surfacing relevant content that may not have been easily discoverable. Users can opt into this feature from the Web tab and switch back to standard results at any time.
Gemini has filed for an IPO on Nasdaq under the ticker GEMI, revealing a significant net loss of $282.5 million in the first half of 2025, compared to $41.3 million in the same period last year. The filing also includes plans to transition most users to a Florida-based unit called Moonbase and a new credit agreement with Ripple worth up to $75 million.
The article compares three leading AI models—ChatGPT, Claude, and Gemini—evaluating their strengths and weaknesses for various use cases in 2025. It provides insights into which model excels in specific applications, helping users make informed decisions based on their needs.
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.
The article discusses advancements in image segmentation techniques, particularly focusing on the Gemini model and its implications for various applications in computer vision. It highlights the improvements in accuracy and efficiency over previous models, as well as the potential for broader use in sectors such as healthcare and autonomous vehicles.
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 has launched the Gemini 2.5 Computer Use model, enhancing the Gemini API with advanced capabilities for interacting with user interfaces across web and mobile platforms. This model allows developers to automate tasks like form filling and UI manipulation while ensuring safety through built-in guardrails. Available for public preview, it aims to streamline software development and enhance personal assistant functionalities.
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.
Crypto exchange Gemini, founded by Cameron and Tyler Winklevoss in 2014, has filed for an initial public offering on the Nasdaq Global Select Market under the ticker symbol "GEMI." This filing comes on the heels of the company's efforts to expand its presence in Europe.
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 is moving Gemini 2.5 Pro into public preview within the Gemini API on Google AI Studio, responding to developer feedback and enthusiasm. The new pricing structure offers increased rate limits for developers, while the experimental version of Gemini 2.5 Pro remains available for free with lower limits.
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 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 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’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.
Gemini, the cryptocurrency exchange founded by the Winklevoss twins, has confidentially filed for an IPO in the U.S., allowing it to gauge investor interest without immediate financial scrutiny. This move follows the SEC's conclusion of its investigation into the company and comes amid a trend of crypto firms seeking public listings as regulations become more favorable.
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.
Updates to the Gemini 2.5 model family have been announced, including the general availability of Gemini 2.5 Pro and Flash, along with a new Flash-Lite model in preview. The models enhance performance through improved reasoning capabilities and offer flexible pricing structures, particularly for cost-sensitive applications. Gemini 2.5 Pro continues to see high demand and is positioned for advanced tasks like coding.
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.
NotebookLM has introduced a new "Discover sources" feature that allows users to find curated web sources by describing their topic of interest. This feature provides up to 10 relevant source recommendations with annotated summaries, making it easier for users to gather information for their projects. Additionally, an "I'm Feeling Curious" button offers random topic suggestions to showcase the source discovery capabilities.
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 course "Enhance Gemini Model Capabilities" focuses on advanced features of Gemini models, teaching participants how to utilize capabilities like code generation, grounding, controlled content generation, and synthetic data creation. Completing this intermediate course allows individuals to earn a skill badge demonstrating their proficiency in building sophisticated AI applications.
The article discusses the advancements and implications of Gemini Diffusion, a new model in the field of artificial intelligence that aims to improve the efficiency and effectiveness of machine learning processes. It highlights the potential applications and challenges associated with the implementation of this technology in various industries.
Jules has officially launched publicly, transitioning from beta and powered by Gemini 2.5, after significant developer contributions that improved its functionality. The release introduces structured tiers for users, offering higher limits for Google AI Pro and Ultra subscribers, along with enhanced capabilities like GitHub integration and multimodal support.
Gemini, the crypto exchange founded by the Winklevoss twins, successfully priced its IPO at $28 per share, raising $425 million and achieving a valuation of over $3 billion. The offering saw significant investor interest, with bids exceeding the available shares by more than 20 times, and will begin trading on Nasdaq under the ticker GEMI. The favorable market conditions and regulatory environment have bolstered the demand for crypto firms in public markets.
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.