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Matthias Bastian@THE DECODER
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Google has announced significant upgrades to its Gemini app, focusing on enhanced functionality, personalization, and accessibility. A key update is the rollout of the upgraded 2.0 Flash Thinking Experimental model, now supporting file uploads and boasting a 1 million token context window for processing large-scale information. This model aims to improve reasoning and response efficiency by breaking down prompts into actionable steps. The Deep Research feature, powered by Flash Thinking, allows users to create detailed multi-page reports with real-time insights into its reasoning process and is now available globally in over 45 languages, accessible for free or with expanded access for Gemini Advanced users.
Another major addition is the experimental "Personalization" feature, integrating Gemini with Google apps like Search to deliver tailored responses based on user activity. Gemini is also strengthening its integration with Google apps such as Calendar, Notes, Tasks, and Photos, enabling users to handle complex multi-app requests in a single prompt. Google is also putting Gemini 2.0 AI into robots through the DeepMind AI team, which has developed two new models of Gemini specifically designed to work with robots. The first, Gemini Robotics, is an advanced vision-language-action (VLA) LLM that uses physical motion to respond to prompts. The second model, Gemini Robots-ER, is a VLM with advanced spatial understanding, enabling robots to navigate changing environments. Google is partnering with robotics companies to further develop humanoid robots. Google will replace its long-standing Google Assistant with Gemini on mobile devices later this year. The classic Google Assistant will no longer be accessible on most mobile devices, marking the end of an era. The shift represents Google's pivot toward generative AI, believing that Gemini's advanced AI capabilities will deliver a more powerful and versatile experience. Gemini will also come to tablets, cars, and connected devices like headphones and watches. The company also introduced Gemini Embedding, a novel embedding model initialized from the powerful Gemini Large Language Model, aiming to enhance embedding quality across diverse tasks.
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Matthias Bastian@THE DECODER
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Google is enhancing its Gemini AI assistant with the ability to access users' Google Search history to deliver more personalized and relevant responses. This opt-in feature allows Gemini to analyze a user's search patterns and incorporate that information into its responses. The update is powered by the experimental Gemini 2.0 Flash Thinking model, which the company launched in late 2024.
This new capability, known as personalization, requires explicit user permission. Google is emphasizing transparency by allowing users to turn the feature on or off at any time, and Gemini will clearly indicate which data sources inform its personalized answers. To test the new feature Google suggests users ask about vacation spots, YouTube content ideas, or potential new hobbies. The system then draws on individual search histories to make tailored suggestions.
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