A new model of artificial intelligence in the agentic era

Note from Google and Alphabet CEO Sundar Pichai:

Information is the basis of human progress. That's why for over 26 years we have focused on our mission of organizing the world's information and making it accessible and useful. And that's why we continue to push the boundaries of artificial intelligence to organize this information at any input and make it available via any output so that it can be truly useful to you.

This was our vision when last December we launched Gemini 1.0. Gemini 1.0 and 1.5, the first model built with native multimodality in mind, made great strides with multimodality and long context, making it possible to understand and process much more of the information in text, video, images, audio, and code.

Now millions of developers build with Gemini. This helps us rethink all of our products – including all 7 with 2 billion users – and create new ones. NotebookLM it's a great example of what multimodality and long context can enable people to do and why so many love it.

Over the past year, we've invested in developing more agent-based models, meaning they can better understand the world around you, think many steps ahead and take action on your behalf, with your supervision.

Today we're excited to launch the next era of models built for the new era of agency: introducing Gemini 2.0, our most efficient model ever. With new advances in multimodality – such as native video and audio output – and native use of tools, this will enable us to build new AI agents that will bring us closer to our vision of the universal assistant.

Today we are handing over version 2.0 to developers and trusted testers. We're working quickly to incorporate them into our products, leading the way with Gemini and search. Starting today, our experimental Gemini 2.0 Flash model will be available to all Gemini users. We are also launching a new feature called Deep researchthat uses advanced reasoning and long-context capabilities to act as a research assistant, investigating complex topics and producing reports on your behalf. It's available today in Gemini Advanced and you can find out more on our website.

No product has been more transformed by AI than search. Our AI reviews now reach 1 billion people, enabling them to ask completely new types of questions – quickly becoming one of our most popular search features ever. The next step will be to introduce Gemini 2.0's advanced inference capabilities to AI reviews to be able to solve more complex topics and multi-step questions, including advanced mathematical equations, multimodal queries and coding. We started limited testing this week and will roll it out more widely early next year. We'll continue to make AI overviews available in more countries and languages ​​over the next year.

Progress 2.0 builds on a decade of investment in our differentiated, end-to-end approach to AI innovation. It's built on custom hardware like Trillium, our sixth-generation TPU. TPU processors powered 100% of Gemini 2.0 training and inference, and today Trillium is generally available customers so they can build with it too.

If Gemini 1.0 was about organizing and understanding information, Gemini 2.0 was about making it much more useful. I can't wait to see what the next era brings.

-Sundar


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