So talk a little bit about, you know, the most important things.

Well, thanks for having me here, and, uh, exciting moment indeed.

Uh, so you know, Google Research, we're actually working across many products and many initiatives, so a lot of what was discussed is actually something that makes the team proud.

As an example, some work on generative UI from last year actually made it into, uh, very, uh, with announcements into products.

But perhaps I'll focus on one thing that we're really excited about, uh, which is how we're using AI to accelerate scientific discovery.

And, uh, what we shared today is what we call Gemini for Science, which has essentially a few experimental tools that are hopefully going to accelerate scientific discovery itself by including hypothesis generation, which is built with AI Co-Scientist, and model discovery, which is built with Alpha Evolve and, um, uh, Empirical Research Assistant.

And we have also literature, uh, insights, which is built on model, uh, on NotebookLM.

Okay.

Yeah.

My personal experience actually watching, uh, a nearby fire 15 years ago got me into understanding how important it is to get timely information, which later actually led me to taking on and lead what we call crisis resilience, launching in search SOS alerts, which now had billions of views on natural disasters and COVID and other things.

We launched it actually about 10 years ago, and at the time I discovered that this is all great.

We're very helpful.

Actually got some notes about various incidents that people say, "Hey, thanks for doing it.

You saved our lives." But discovered also that the most devastating natural disasters in terms of people impact, which are floods, were not helpful.

Because in order to be helpful, you need to actually warn people ahead of the flood.

Yeah.

So how important then is the long-term research that is detached from the need to innovate right now?

First, no research is detached.

Research, again, as I mentioned, the best research is research that is motivated by either a need that you already know or by exploring the art of the possible.

And when you think about exploring the art of the possible, it's motivated by saying, well, now, if I manage to solve it, that is going to unlock things that are actually going to be meaningful for my business, for my products, for capabilities.

So it's always connected.

To your question, the importance of long-term research is greater than, is, is more than ever.

And here's why.

Do you anticipate that it's going to lessen the need for researchers or are we gonna have more?