A New Era of AI: Introducing Gemini 2.0
As we celebrate over 26 years of organizing the world's information, we're excited to take a major leap forward in artificial intelligence. Our mission has always been to make information accessible and useful, and today we're introducing a new era of AI that will help us achieve this goal.
Gemini 1.0, our first model built for multimodality, has been a huge success. Millions of developers are already building with it, and it's helping us reimagine all of our products, including Search and our other 7 products with 2 billion users. NotebookLM is a great example of what multimodality can enable, and why it's loved by so many.
Over the past year, we've been investing in developing more agentic models, capable of understanding more about the world around you, thinking multiple steps ahead, and taking action on your behalf with your supervision.
Today, we're excited to launch Gemini 2.0, our most capable model yet. With new advances in multimodality, native tool use, and native image and audio output, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.
We're releasing Gemini 2.0 Flash, an experimental version of our model, to developers today. We're also launching a new feature called Deep Research, which uses advanced reasoning and long context capabilities to act as a research assistant, exploring complex topics and compiling reports on your behalf.
Gemini 2.0's advances are built on our decade-long investments in full-stack AI innovation, including custom hardware like Trillium, our sixth-generation TPUs. These advancements will enable new agentic experiences that will help people accomplish tasks and get things done.
We're just starting to explore the possibilities of agentic experiences with research prototypes like Project Astra, Project Mariner, and Jules. These prototypes demonstrate the potential for AI agents to assist in various domains, from gaming to coding to robotics.
As we develop these new technologies, we recognize the responsibility it entails and the many questions AI agents open up for safety and security. That's why we're taking an exploratory and gradual approach to development, conducting research on multiple prototypes, iteratively implementing safety training, working with trusted testers and external experts, and performing extensive risk assessments and safety evaluations.
We believe that the only way to build AI is to be responsible from the start. We'll continue to prioritize making safety and responsibility a key element of our model development process as we advance our models and agents.
Today marks a new chapter in the Gemini era. We're excited to continue safely exploring all the new possibilities within reach as we build towards AGI. reach as we build towards AGI.
