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Gemini 2.0 Flash Thinking now has memory and Google apps integration


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A few months ago Google Add access to argumentation modes to his Gemini Ai Chatbot. Now it has expanded the range of Gemini 2.0 Flash Thinking Experimental To other functions of the chat experience, since it doubles with the context-filled answers.

The company announced that Gemini personal, connected and helpful. Its version of Deep Research is also created, which is searching the Internet for information and is still available to Gemini users.

Deep research is now supported by Gemini 2.0 Flash Thinking. In a blog post, Google said that by adding the power of flash thinking, deep research can now give users “a real-time overview of how to solve their research tasks.” The company said that this combination will improve the quality of the reports that are carried out by deep research by providing more details and findings.

Before this update, the Deep Research was operated by Gemini 1.5 Pro and was only available for the $ 20 month-google One AI Premium plan. However, Carl Franzen from Venturebeat also found this less strength to be a helpful research assistant.

A more personal Gemini

Gemini 2.0 Flash Thinking Experimental will also introduce a new ability known as personalization.

Personalization is exactly that: Answers are tailored to the user by referring to previous conversations or search processes. In order to enable this personalization level, Gemini establishes a connection to Google apps and services of the users, including searches and photos. Google emphasized that information from your Google apps is only used with permission.

“In the coming months, Gemini will expand his ability to understand it by contacting other Google apps and services, including photos and YouTube,” said Dave Citron, Senior Director, Product Management and Gemini app in a blog post. “This enables Gemini to provide more personalized knowledge and be returned from a more comprehensive understanding of your activities and preferences to provide answers that really use.”

Since Gemini 2.0 Flash Thinking is experimentally integrated into the personalization function, users can see an overview of the data sources that the model types to answer queries or to meet inquiries.

Gemini Advanced users can switch other settings that the chat bot should remember, e.g. In this way, Gemini can offer more natural and relevant answers.

Of course, Google is not the only company that recognizes the importance of personalized and relevant answers. In November, Anthropic Started his styles Feature that people can use to adapt how Claude speaks to them.

Other connected apps

Since personalization requires access to more data about the user, you provide for this as a LAG, but for a Gemini user than for an entire organization, with Google more connected with Gemini 2.0 Flash Thinking Experimental.

The model can type on apps such as calendars, notes, tasks and photos.

“With this model of thinking, Gemini can better tackle complex inquiries such as requirements that contain several apps, since the new model is better condemned by the overall request, broken down into different steps and evaluated its own progress,” said Citron.

Google said that Gemini can look at photos in Google photos in a few weeks and answer questions based on the pictures of the users. Travel routes on the basis of pictures from the latest trips can create and remind information such as the expiry date for a driver’s license or whether they accidentally took a photo of milk in the shop.

The integration of applications to provide more context for chatbot responses was a big trend for AI companies. This has translated that chatbots in the division are made accessible to developer environments or e -mails. Chatgpt can open most Ides In this way, developers can query their code of VSCODE and Chatgpt about it. Google’s coding helper, codassic, also connects to Ides.

The increasing app and service integration and personalization of Google Gemini underline the importance of the context and the data in order to make these chatbots more useful, even if the query only requires a restaurant recommendation.


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