While concerns have been raised about Chinese AI models like DeepSeek, a recent study reveals that Google's Gemini collects significantly more user data than many other popular chatbots, including DeepSeek. The investigation highlights the need for greater transparency and user control in AI data privacy, regardless of the origin of the technology.
Alphabet Inc. unveils Gemma 3, a family of open, lightweight, and state-of-the-art AI models built on the same research as Gemini 2.0. These models prioritize efficiency, portability, and responsible development, offering various sizes (1B, 4B, 12B, and 27B) for diverse applications, even on resource-constrained devices, marking a significant step towards accessible and powerful AI.
Google is phasing out Google Assistant on Android devices, replacing it with the more advanced Gemini AI. This change promises a more sophisticated and integrated virtual assistant experience across phones, tablets, cars, and connected home devices. Key improvements include enhanced music playback, timer support, lock screen actions, and features like Gemini Live and Deep Research.
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A Columbia Journalism Review (CJR) investigation reveals that AI-powered search engines are increasingly providing fabricated information and phantom citations, prioritizing speed over accuracy. This trend undermines the credibility of online sources, reduces website traffic, and poses a significant threat to the future of reliable information and informed public discourse. The situation is getting worse.
Google's Gemma 3 is a powerful and efficient open-source LLM. It surpasses competitors in performance while using fewer resources. Gemma 3 boasts multilingual capabilities, advanced functionalities like function calling, and optimized quantum versions. It's a significant step forward in accessible and sustainable AI, built upon the advancements of Gemini 2.0.
Google's Gemma 3 series offers open-source AI models optimized for efficiency and on-device deployment. Ranging from 1B to 27B parameters, Gemma 3 boasts multilingual, multimodal capabilities, and outperforms competitors. It's designed for developers, supporting function calling, and structured output, making advanced AI accessible for mobile, desktop, and embedded systems.
Google DeepMind unveils Gemini Robotics and Gemini Robotics-ER, AI models designed to revolutionize robotics. These models enable robots to understand and interact with the world with unprecedented dexterity and adaptability, opening doors to advanced applications, including humanoid assistants. The focus is on 'vision-language-action' capabilities and 'embodied reasoning' for enhanced spatial understanding.
Google unveils Gemma 3, a family of open, lightweight AI models designed for on-device performance, outperforming competitors like DeepSeek and Llama. Alongside, Google introduces ShieldGemma 2 for image safety and showcases Gemini-powered robotics advancements, emphasizing natural language understanding and spatial reasoning, all while prioritizing safety and responsible AI development.
Google releases Gemma 3, the latest 'open' AI model, boasting single-GPU efficiency and enhanced performance. It surpasses competitors in benchmarks, supports 35+ languages, and handles text, images, and short videos. With a focus on safety and accessibility, Gemma 3 aims to empower developers and researchers, furthering the democratization of powerful AI technology.
