98 articles
Nano Banana 2 and Gemini 3.0 are launching next week, with early tests suggesting major capability improvements. The timing puts fresh competitive pressure on OpenAI and Anthropic in the race for AI model leadership.
Google faces a federal lawsuit claiming its Gemini AI was secretly deployed across Gmail, Chat, and Meet to collect user data without permission, potentially violating California privacy laws.
Google launched File Search, a managed RAG system in the Gemini API that delivers fast document indexing, vector search, and cited answers. It handles PDFs, code files, and structured data with easy setup.
Google DeepMind has rolled out a fully managed Retrieval-Augmented Generation (RAG) system within the Gemini API, making it significantly cheaper and easier to build RAG workflows. Developers can now upload files, search through them, and get cited responses without dealing with infrastructure headaches.
Google's Gemini Deep Think models achieve breakthrough performance in mathematical proof generation, significantly outpacing competitors like GPT-5 and Claude on IMO-level reasoning tasks.
Google DeepMind's Gemini 3.0 might drop between November 12-18, right when several Gemini 2.x models officially retire on November 18.
Google has launched Canvas in Gemini, an AI feature that creates complete presentations from a single prompt, changing how people build slides.
An analysis of how Google uniquely controls the entire AI value chain, from custom chips to consumer applications, giving it a competitive edge no other tech company can match.
Philipp Schmid launched the Gemini Docs MCP Server — a local tool that lets developers instantly search Google Gemini API docs offline, making SDK integration easier across development environments.
Apple is reportedly partnering with Google to integrate a custom Gemini AI model into its Private Cloud Compute servers, with a revamped Siri expected to launch in March 2026.
Tech reviewer Peter breaks down the real-world performance of ChatGPT-5, Claude 4.5, and Gemini 2.5 across ten practical tasks, showing which AI works best for writing, coding, research, and live data.
Similarweb data shows Google's Gemini crossed 1.1 billion visits in October—up 4.4% from September and the second straight month above 1 billion.
Google has embedded Gemini AI directly into Chrome DevTools, enabling developers to debug performance issues through natural conversation instead of manual trace analysis.
Google hit its first $100 billion revenue quarter, powered by AI. Gemini now has 650 million users and is catching up to OpenAI, thanks to Google's massive distribution advantage.
A small semiconductor company, GSI Technology, has developed a chip called Gemini-I that reportedly matches NVIDIA's A6000 GPU performance while using 98% less energy—potentially revolutionizing AI efficiency from data centers to edge devices.
DeepSeek Chat V3.1 surges 125% in nine days to dominate Alpha Arena, outperforming GPT-5, Claude, and Gemini in a live AI trading competition with real capital.
New survey data reveals Google Gemini leads the AI image generation market with 74% adoption, followed by OpenAI at 64%, as the technology shifts from experimental to mainstream use.
Google introduces Annotate Mode in AI Studio, allowing developers to visually mark up interfaces and have Gemini AI translate those annotations directly into code changes.
Google's AI Studio has experienced explosive growth with a 1,453% year-over-year increase in traffic, reaching nearly 160 million visits in September 2025, signaling a major shift in developer adoption of the Gemini ecosystem.
Google rolled out an upgraded AI Studio powered by Gemini 2.5 Pro, letting developers build intelligent apps faster with integrated tools and a playful "I'm Feeling Lucky" feature.
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