Google integrates its Gemini AI into Maps, enabling users to ask conversational questions about specific locations using a new 'Ask about place' feature. This provides contextual information directly within the map interface, streamlining searches for details like menus or accessibility, though currently best for specific points of interest and sometimes defaults to Search.
Google introduces Gemini 2.5, a new AI model family featuring deliberative reasoning. Spearheaded by Gemini 2.5 Pro Experimental, it mimics human 'thinking' before answering. This marks a shift towards more thoughtful AI, available via Google AI Studio and Gemini Advanced, setting the stage for future Google AI development.
Google unveils Gemini 2.5, a 'thinking model' excelling in reasoning and coding. It tops the LMArena leaderboard and key benchmarks. Featuring a 1M token context window (expanding to 2M) and multimodal capabilities (text, audio, image, video, code), it targets developers via AI Studio and Vertex AI, challenging rivals like OpenAI and DeepSeek.
Google rolls out visual features for Gemini AI on Android, integrating camera and screen sharing. This challenges Apple Intelligence, parts of which face delays. Gemini Advanced users get early access to multimodal AI, enabling real-time visual understanding and interaction, potentially giving Google an edge in context-aware mobile AI deployment.
Google introduces Gemini 2.5, featuring the experimental Gemini 2.5 Pro. Touted as its 'most intelligent' model yet, it excels in reasoning and coding, boasting a 1M token context window and multimodal input. Aimed initially at developers via Google AI Studio and Gemini Advanced, it promises enhanced capabilities for complex tasks.
Explore how Gemini, Google's AI, transforms Google Slides. This experiment tests Gemini's ability to create a complete presentation from text prompts, generating both content and images. Discover its strengths, limitations, and the crucial role of human oversight in ensuring accuracy. Learn advanced prompting techniques and creative applications for AI-powered presentations.
A detailed exploration of Gemini Live's screen sharing feature, powered by Astra. This includes the user interface, visual cues like the 'Astra glow,' performance observations, device compatibility, and potential future enhancements. It also discusses the broader context of AI-powered assistance and its impact on productivity and human-computer interaction.
Google integrates Gemini AI into Gmail, introducing 'contextual smart replies'. This feature enhances business email composition by suggesting comprehensive and relevant responses, saving time and improving communication efficiency for Google Workspace users. It builds upon previous innovations like Smart Replies and improved search, representing a significant step in AI-powered productivity.
I tested Gemini, Copilot, and ChatGPT to see if they could find new and interesting Android apps, beyond the usual top-chart suspects. I challenged them with weather, note-taking, and gaming app requests, revealing their strengths and weaknesses in app discovery, and the importance of crafting precise prompts for optimal results.
Google's Gemini Live now incorporates real-time video and screen understanding capabilities, allowing it to answer questions about what it 'sees' through a smartphone camera or on a user's screen. This marks a significant advancement in AI assistant technology, moving beyond voice commands to a more intuitive and interactive multimodal experience.
