A observe from Google and Alphabet CEO Sundar Pichai:
Data is on the core of human progress. It’s why we’ve centered for greater than 26 years on our mission to prepare the world’s data and make it accessible and helpful. And it’s why we proceed to push the frontiers of AI to prepare that data throughout each enter and make it accessible by way of any output, in order that it may be actually helpful for you.
That was our imaginative and prescient when we launched Gemini 1.0 final December. The primary mannequin constructed to be natively multimodal, Gemini 1.0 and 1.5 drove huge advances with multimodality and lengthy context to grasp data throughout textual content, video, pictures, audio and code, and course of much more of it.
Now hundreds of thousands of builders are constructing with Gemini. And it’s serving to us reimagine all of our merchandise — together with all 7 of them with 2 billion customers — and to create new ones. NotebookLM is a superb instance of what multimodality and lengthy context can allow for individuals, and why it’s beloved by so many.
Over the past yr, we’ve got been investing in growing extra agentic fashions, which means they’ll perceive extra in regards to the world round you, assume a number of steps forward, and take motion in your behalf, together with your supervision.
As we speak we’re excited to launch our subsequent period of fashions constructed for this new agentic period: introducing Gemini 2.0, our most succesful mannequin but. With new advances in multimodality — like native picture and audio output — and native device use, it should allow us to construct new AI brokers that deliver us nearer to our imaginative and prescient of a common assistant.
We’re getting 2.0 into the fingers of builders and trusted testers in the present day. And we’re working shortly to get it into our merchandise, main with Gemini and Search. Beginning in the present day our Gemini 2.0 Flash experimental mannequin will probably be accessible to all Gemini customers. We’re additionally launching a brand new function referred to as Deep Analysis, which makes use of superior reasoning and lengthy context capabilities to behave as a analysis assistant, exploring complicated subjects and compiling stories in your behalf. It is accessible in Gemini Superior in the present day.
No product has been remodeled extra by AI than Search. Our AI Overviews now attain 1 billion individuals, enabling them to ask fully new varieties of questions — shortly changing into one in every of our hottest Search options ever. As a subsequent step, we’re bringing the superior reasoning capabilities of Gemini 2.0 to AI Overviews to sort out extra complicated subjects and multi-step questions, together with superior math equations, multimodal queries and coding. We began restricted testing this week and will probably be rolling it out extra broadly early subsequent yr. And we’ll proceed to deliver AI Overviews to extra nations and languages over the following yr.
2.0’s advances are underpinned by decade-long investments in our differentiated full-stack strategy to AI innovation. It’s constructed on customized {hardware} like Trillium, our sixth-generation TPUs. TPUs powered 100% of Gemini 2.0 coaching and inference, and in the present day Trillium is typically accessible to prospects to allow them to construct with it too.
If Gemini 1.0 was about organizing and understanding data, Gemini 2.0 is about making it way more helpful. I can’t wait to see what this subsequent period brings.
-Sundar
