Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness

**Sonya Huang** (0:00)
So we could edit this set, so it looks like we're okay? We should, yes.

**Logan Kilpatrick** (0:03)
Yeah, I want this where we were talking off camera. Like, we should do that for the intro, because I think it just makes all this stuff more capable. I've seen these examples of such subtle nuance that make me appreciate that it's like the world understanding playing out. I was giving a talk and was on stage with my friend Tulsi, who leads the model team. I had mentioned to someone in the crowd to edit the video, and they literally took the picture, edited it with Omni in real time, and this dog came on the stage. In the edited version, the other guests looked down and see the dog. They chuckle a little bit. This is while I'm opining about whatever AI nonsense.

**Sonya Huang** (0:40)
Maybe they were laughing at your jokes.

**Logan Kilpatrick** (0:41)
Yeah, it was not my jokes. They laugh at the dog coming up. It jumps onto my lap. I acknowledge the dog. I keep talking. I'm petting it or whatever. There's so much subtlety in getting that right, and the model crushed it.
It's very interesting, and still trying to absorb and digest what that means for the way we make content and all these other things.

**Sonya Huang** (1:06)
That's so interesting.
I'm delighted to have Logan on the show. Logan runs Google AI Studio and the Gemini API. You spent a lot of your time thinking and building for the next generation of builders. So I'm excited to talk to you about everything from agentic AI to AI coding, world models and more today, and right off the heels of Google IO. So what better timing?

**Logan Kilpatrick** (1:43)
Yeah, I'm super excited. Thank you for having me.

**Sonya Huang** (1:45)
Wonderful. Let's start with agentic AI. So Sundar opened IO by calling this the agentic Gemini era.
What does agentic AI mean for Google?

**Logan Kilpatrick** (1:55)
Yeah, it's a good question. I think if you followed closely, we did mention some of these things back with Gemini 2.0, which I think was a little bit early. So I think this era, this Gemini 3.5 era feels like it's actually becoming true now, and we're in the era of agentic coding or agentic products and everything agents as far as Gemini goes. I think for us, this agentic layer, and I think we announced this actually at IEO sort of being powered by the Antigravity agent harness is this like additional through line for Google that sort of connects all of our products that they're sort of like based on now. And so historically, like prior to Gemini, there actually like wasn't a through line for the, you know, probably sub hundred number of Google products that we have, the 50 Google products we have, there wasn't a through line. We had Gemini, it became this through line. Everything is now sort of using Gemini in some way. That's now becoming true for Antigravity, as sort of all of the products re-base to become sort of like agentic native products and like actually taking action on behalf of users and helping them get things done. You see this like new through line emerging, which I think is actually really, really interesting.
And so-

**Sonya Huang** (3:06)
And sorry, help me with Antigravity is the IDE, right? Or the non-IDE.

**Logan Kilpatrick** (3:11)
Yeah, Antigravity is a lot of things, which I think is sort of, again, is an opportunity for us. You have sort of a core IDE, you have sort of like the agent first experience if you want it on the web, you have a CLI, you have an SDK. So I actually think, and I don't know how much we've framed it this way, but it really is an ecosystem of stuff that we built. And it's designed to sort of like meet developers wherever they are. So you could use it through the Gemini API if you want to, and you want a managed agent that you don't have to do any of the sort of infrastructure work for.
And then the most interesting bit is like, it's not just the ecosystem of Antigravity stuff, it's also powering, like literally the same harness is actually powering all the other Google products. So Antigravity will be powering a bunch of agent stuff in search in the Gemini app across like cloud and AI Studio, which is really exciting.

**Sonya Huang** (3:58)
I see. So it used to be the Gemini API, so like the language model was a through line in terms of how AI gets baked into every Google product. And now it's not only the API, it's the coding harness.