Google has upgraded its Veo 3.1 AI video model to improve how it uses reference images, allowing users to generate more consistent and expressive clips. The update adds native vertical video support for a 9:16 aspect ratio, making content ready for platforms like TikTok and YouTube Shorts without extra editing. Users can now upscale videos to 4K resolution, while 1080p generation receives sharper quality. These features are being rolled out through the Gemini app and integrated into YouTube Shorts and the YouTube Create app, expanding creative options for developers and creators. Read more →

Google unveiled Gemini 3 Flash, a faster and cheaper AI model built on the recent Gemini 3 architecture. The company is making Flash the default model in its Gemini app and AI‑enabled search, while still offering the Pro version for more demanding tasks. Gemini 3 Flash delivers notable performance gains on benchmark tests, supports multimodal inputs such as video, sketches, and audio, and is available through Vertex AI, Gemini Enterprise, and an API preview. Early adopters like JetBrains and Figma are already integrating the model, and Google highlights its suitability for bulk, work‑horse workloads. Read more →

Google is rolling out Gemini 3 Flash, a more efficient version of its flagship Gemini AI model, as the new default in the Gemini app and Google Search’s AI Mode. The upgrade follows the recent Gemini 3 Pro release and promises faster response times, lower operating costs, and more nuanced answers compared to the previous Gemini 2.5 Flash. Tulsee Doshi, senior director of DeepMind product, described the change as a “huge upgrade” for users, highlighting the model’s ability to process images, text, and video together while delivering answers in seconds. Developers will also gain access through a suite of Google AI tools. Read more →

Google has launched Gemini 3, the newest generation of its AI model, bringing notable upgrades in reasoning, accuracy, and multimodal understanding. The update powers the Gemini app, AI Mode in Google Search, NotebookLM, and developer platforms, and introduces generative interfaces that can produce magazine‑style layouts, dynamic interactive views, and an experimental Agent mode for task automation. Demonstrations include trip planning, educational visualizations, inbox organization, and rental car logistics, showcasing the model’s ability to handle complex, multi‑step prompts with greater autonomy. Read more →

Google unveiled Nano Banana Pro, an AI image generator powered by Gemini, that delivers more realistic results than earlier models. The system embeds SynthID watermarks and adds C2PA metadata to help identify AI‑created images. Through the Gemini app, users can query whether an image was produced by Google’s AI. While AI Ultra subscribers receive the highest usage limits, visible watermarks are removed for them, though the underlying SynthID remains. The tiered offering aims to balance creative flexibility for professionals with tools for transparency and detection. Read more →

Google has introduced Gemini 3, a new AI model that powers the Gemini app, Search and developer tools. The rollout includes two variants—Gemini 3 Pro for everyday use and Gemini 3 Deep Think for enhanced reasoning. The Gemini app receives a major redesign with a My Stuff folder and an AI agent that can execute multi‑step tasks across Google services. Search now leverages Gemini 3 to generate visual, interactive answers. The model also adds multimodal strengths such as video analysis and a million‑token context window, positioning it as a significant step forward in Google’s AI ecosystem. Read more →

Google announced the launch of Gemini 3, branding it as the company’s most intelligent and factually accurate AI system to date. The flagship Gemini 3 Pro model, available in the Gemini app and to select Search subscribers, is natively multimodal, handling text, images and audio together. Google highlighted new capabilities such as translating recipe photos, generating interactive flashcards, and creating visual, magazine‑style layouts. The rollout includes generative interfaces, an upgraded query‑fan‑out technique, reduced sycophancy, and an experimental Gemini Agent that can manage emails and book travel. The model is accessible to all users in the Gemini app, with additional features for Google AI Pro and Ultra subscribers. Read more →

Google announced Gemini 3 Pro, its most intelligent AI model to date, offering stronger reasoning, coding, and multi‑modal understanding. The model set new benchmark scores, including a top accuracy of 37.5 percent on Humanity's Last Exam and a leading 1,501 points on LMArena. Gemini 3 Pro powers the Gemini app, AI Mode in Search, and new agentic features like Gemini Agent, enabling tasks such as email management. The model is also available through the Gemini API, AI Studio, and Vertex AI for developers and enterprise customers, with early access for AI Pro and Ultra subscribers. Read more →

Google has introduced Nano Banana 2, the next iteration of its AI image generation model, as part of a preview within the Gemini app. The new model emphasizes multi‑step planning, self‑correction, and finer control over angles, viewpoints, and text clarity. Early previews show cleaner lines, sharper angles, and fewer typical AI artifacts. Internally known as GEMPIX 2, Nano Banana 2 also appears in experimental tools like Whisk Labs, signaling Google’s broader push to embed creative AI across its ecosystem. Read more →

Google’s Nano Banana image‑generation model, officially known as Gemini 2.5 Flash Image, has become the top driver of the Gemini app’s popularity in India. Indian users are employing the AI to create retro Bollywood looks, AI‑saree portraits, city‑scape selfies, miniature figurines and short videos from old family photos. The surge has propelled the Gemini app to the top of both the iOS App Store and Google Play charts in the country, with monthly downloads far outpacing those in the United States. While the model’s adoption is boosting downloads, in‑app spending remains modest, and Google is rolling out watermarks and a hidden SynthID marker to address privacy and misuse concerns. Read more →

Google’s Nano Banana image‑generation model, officially known as Gemini 2.5 Flash Image, has become the top driver of the Gemini app’s popularity in India. Indian users are employing the AI to create retro Bollywood looks, AI‑saree portraits, city‑scape selfies, miniature figurines and short videos from old family photos. The surge has propelled the Gemini app to the top of both the iOS App Store and Google Play charts in the country, with monthly downloads far outpacing those in the United States. While the model’s adoption is boosting downloads, in‑app spending remains modest, and Google is rolling out watermarks and a hidden SynthID marker to address privacy and misuse concerns. Read more →

Google’s Nano Banana image‑generation model, officially known as Gemini 2.5 Flash Image, has become the top driver of the Gemini app’s popularity in India. Indian users are employing the AI to create retro Bollywood looks, AI‑saree portraits, city‑scape selfies, miniature figurines and short videos from old family photos. The surge has propelled the Gemini app to the top of both the iOS App Store and Google Play charts in the country, with monthly downloads far outpacing those in the United States. While the model’s adoption is boosting downloads, in‑app spending remains modest, and Google is rolling out watermarks and a hidden SynthID marker to address privacy and misuse concerns. Read more →

Google’s Nano Banana image‑generation model, officially known as Gemini 2.5 Flash Image, has become the top driver of the Gemini app’s popularity in India. Indian users are employing the AI to create retro Bollywood looks, AI‑saree portraits, city‑scape selfies, miniature figurines and short videos from old family photos. The surge has propelled the Gemini app to the top of both the iOS App Store and Google Play charts in the country, with monthly downloads far outpacing those in the United States. While the model’s adoption is boosting downloads, in‑app spending remains modest, and Google is rolling out watermarks and a hidden SynthID marker to address privacy and misuse concerns. Read more →

Google’s Nano Banana image‑generation model, officially known as Gemini 2.5 Flash Image, has become the top driver of the Gemini app’s popularity in India. Indian users are employing the AI to create retro Bollywood looks, AI‑saree portraits, city‑scape selfies, miniature figurines and short videos from old family photos. The surge has propelled the Gemini app to the top of both the iOS App Store and Google Play charts in the country, with monthly downloads far outpacing those in the United States. While the model’s adoption is boosting downloads, in‑app spending remains modest, and Google is rolling out watermarks and a hidden SynthID marker to address privacy and misuse concerns. Read more →