The self-authoring wiki, beating brain fry, and Obsidian as memory is a trap

**Ben Lloyd-Pearson** (0:05)
So, Andrew, are you as excited as I am about this news that Google is going to start punishing websites that hijack your back button?

**Andrew Ziegler** (0:14)
I mean, for me, it's a little too late. It's like, I'm not going to those websites anymore. My agents are. So, did it take my agents complaining for them to finally do something about the back button not working on bad websites?

**Ben Lloyd-Pearson** (0:28)
Oh, yeah. So, you're saying it's Google's token costs were getting too high because their agent's back button was getting hijacked, so now, they're going to take action on it.

**Andrew Ziegler** (0:37)
Or maybe I didn't take the thesis that far, but now that you've said it, it's very compelling that these agents were getting caught in these loops. But I do love the movement that Google is continuing to fight spam. It's not just during a time when bad practices on the web are at an all-time high in terms of spam and vibe-coded websites that don't act like they maybe expect. And so, any kind of pulse check from Google of like, hey, we still care about spam on the internet, or bad internet website practices is a win in my book. What do you think about it?

**Ben Lloyd-Pearson** (1:08)
Yeah, I mean, it makes me just wonder like, how many other things out there do Google see that are like, wow, our agents are having a really hard time consuming websites that do this, so we should go punish those websites. They're probably like the only company in the AI space that actually has the authority and power to do that, right? They truly are.

**Andrew Ziegler** (1:29)
They have a unique moat in terms of kind of owning how people were consuming the web in the first place.

**Ben Lloyd-Pearson** (1:35)
Yeah.
Yeah. Well, awesome. Welcome to the Friday Deploy from LinearB and Dev Interrupted. I'm your host, Ben Lloyd-Pearson.

**Andrew Ziegler** (1:43)
And I'm your host, Andrew Ziegler.

**Ben Lloyd-Pearson** (1:45)
And this week, we're covering Google's offline AI breakthrough, agent swarms for data teams. Obsidian isn't AI memory, or is it when we talk about Karpathy and his self-writing wiki?
And lastly, we'll close out with the AI brain fry epidemic. Andrew, let's just start right at the top with this new Google Gemma news. What do we have here?

**Andrew Ziegler** (2:05)
Yes, so continuing the story we've been covering about small language models, open source models, alternatives to the foundation models like Anthropic and Claude. This is an article about highlighting Gemma 4's ability to run natively on iPhone, which is something that we have called out here on the show before, when we first talked about it after its unveiling about two weeks ago.
It's a great reminder about all the different variants of this model and how they're optimized for mobile devices, devices on the edge, devices and internet as bad as mine. And this represents like a major shift towards internet in places where internet, or rather AI in places where internet connectivity is spotty. There's like a real danger in the world of a lot of populations getting frankly left behind in the AI revolution. And personally, I see Gemma as a really great step towards making AI more accessible to the rest of the world.

**Ben Lloyd-Pearson** (2:56)
Yeah, a lot of people and use cases, I think. And I think it's interesting to know that I think it feels like Google's really trying to position this as something for developers and power users to treat as like a foundation for future capabilities rather than like a feature that they're rolling out to users, which totally makes sense to me. I mean, the average AI user isn't going to know like which tasks are appropriate to hand off to a local model, nor would they even know how to do that in the first place.
And like you said, we've been covering a lot of these stories of how local models are becoming more efficient, higher quality, easier to delegate sub-agent tasks to. And I really do think this type of stuff is going to open up a lot of efficiency gains, but it's also going to open up a lot of new use cases where you need either offline AI completely or some sort of edge AI capability where it's just too expensive to go back to a central service for API services versus just trying to do it locally. So, yeah, a lot of companies are competing in this space more and more. It's really exciting to see Google being a part of it as well, particularly because as we covered in our opening, they have a lot of power in their incumbency that lets them push this stuff out in a way that other companies may not be able to do. So yeah, I think we'll definitely be following this a lot more because I think local models are increasingly going to become the story of the rest of this year maybe.