Researchers exploit Google Gemini's fine-tuning API to automate potent prompt injection attacks. This 'Fun-Tuning' method uses leaked training data signals, bypassing manual effort and significantly increasing attack success rates against closed-weight models like Gemini, posing new security challenges.
AI chatbots offer convenience but collect user data. Discover which popular tools like Google's Gemini, ChatGPT, Claude, and Grok gather the most personal information, based on privacy disclosures. Understand the privacy trade-offs in the AI era.
Google intensifies its AI efforts with Gemini 2.5 Pro, a powerful reasoning model featuring a massive one-million-token context window. This launch signals Google's determination to lead in the competitive LLM race, leveraging its distribution and developer infrastructure despite challenges from rivals like OpenAI. It aims to redefine AI capabilities.
Discover why Google Gemini surpasses ChatGPT for daily productivity. This shift stems from Gemini's larger context window, seamless Workspace integration, superior image generation, unique NotebookLM features, native multimodal understanding, and real-time search capabilities, making it an indispensable digital partner.
Google introduces Gemini 2.5 Pro Experimental via Gemini Advanced subscription. Positioned as superior in 'thinking', reasoning, and coding, it challenges rivals like OpenAI and Anthropic. Google highlights benchmark wins, coding prowess, multimodality, and a large context window, escalating the competitive AI landscape.
Explore Google's Gemma 3 AI models, designed for local deployment. Balancing power and privacy, these open-source models derived from Gemini offer on-device processing, enhancing security and control over data. Discover the benefits of local AI for research and productivity, prioritizing user sovereignty without sacrificing advanced capabilities.
Google introduces Gemini 2.5 Pro, its next-gen AI model, claiming superior reasoning in coding, math, and science over rivals. It features enhanced reasoning integrated as a core capability, a massive context window, and aims to set a new standard for advanced LLMs, accessible via Gemini Advanced and Google AI Studio.
Google introduces TxGemma, an open-source AI model suite based on Gemma, specifically trained for therapeutics development. Designed to accelerate drug discovery, TxGemma offers predictive capabilities for classification, regression, and generation tasks, aiming to streamline the complex path from research to patient treatment. Available in multiple sizes, it fosters collaborative innovation.
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.
