Taylor Mullen

Yeah.

Well, how it does that is it tries to look at what the person reported.

It then tries to look at the code base, and it starts doing searches to find the right files.

It starts opening files to look at them in depth, and it looks at one file, then realizes it needs to look at three other ones, and it keeps going until it finds some more reasoning.

And so it's kind of relying on this innate piece of the model to do better at understanding.

It's kind of an interesting path here, because as the models evolve, we're going to hit a point where they're basically perfect.

at deriving this information like we will hit a point where that's the case but then the question is like well what's left and it's like how do you evolve products from there and that's an interesting thing which for us is really important how do you yeah what's your what's your thesis on that or is it you just figure it out as you go

So Gemini CLI, one of our pillars is extensibility.

We released Gemini CLI, when did we release Gemini CLI extensions?

This was a while ago.

We have a thing called extensions.

And extensions, think of them as it could package your model context protocol servers, MCP, it can package your commands, it can package all the customization for your experience into one thing.

Which means you can say Gemini extensions install vision.

And maybe you've now given your agent the ability to use your webcam to generate images, to generate video, and everything in between.

That's just an example.

Your webcam, that's terrifying.

Well, one of the demos I will typically do is I'll say, hey, take a picture of me and give me long hair.

Oh, I love it.

And I get these wonderful locks that come out the other end.

And so, so like for us, extensibility is that mechanism.