Google has been at the forefront of many of those breakthroughs.

Gemini is our largest and most capable model.

It means that Gemini can understand the world around us in the way that we do,

so not just text, but also code, audio, image, and video.

Taylor used Gemini to search a large corpus of scientific papers for key information.

We wrote a prompt.

With its advanced reasoning capabilities, Gemini was able to distinguish between papers that were relevant to the study and those that weren't.

I'm delighted to introduce AlphaCode2, powered by Gemini.

When we evaluate AlphaCode2 on the same platform as the original AlphaCode, we solve almost twice as many problems.

Gemini on its own has the ability to transform software development as we understand it.

Based on their design, which of these would go faster?

The car on the right would be faster.

It is more aerodynamic.

But safety and responsibility has to be built in from the beginning.

And that has oriented us to be both bold and responsible together.

Developers and enterprise customers are going to figure out really creative ways to further refine our foundational models.

Gemini will be available in three sizes:

Gemini Ultra, our most capable and largest model for highly complex tasks,

Gemini Pro, our best performing model for a broad range of tasks,

and Gemini Nano, our most efficient model for on-device tasks.

It's been a monumental engineering task, which has been very challenging, but also very exciting.