Today on the AI Daily Brief, a look at everything Google announced at I.O.

And why it seems like their AI strategy is getting messier and messier, but it also just might not matter because of some of the significant advantages that they are bringing to the table.

The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI.

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Now, on final note, you always had to know that the Google

I.O. recap was going to be a full end-to-end episode, but that certainly did an account for former OpenAI co-founder Andre Carpathy announcing that he had joined Anthropic. To many, if not most, enfranchised AI Watchers, this was a bigger announcement than anything that happened on the stage at I.O. And so with that in mind, we will certainly be coming back to it tomorrow.

But for now, we have a lot of... a bigger announcement than anything that happened on the stage at I.O. And so with that in mind,

we will certainly be coming back to it tomorrow. But for now, we have a lot of Google to talk about.

Today we are talking about Google I.O., which in this particular case is more than just a set of

announcements, but a chance to see how one of the biggest labs thinks about AI priorities and where they sit in the AI race.

In short, the event was a little confused. Google is doing a ton. There's absolutely no doubt. What it adds up to is a little less clear.

And in fact, it seems to me like Google's leadership may have a very different idea than either

Anthropic or OpenAI's leadership about what winning the AI race will actually look like.

But we need a little bit of background and context before we get into this year's event.

Google's history with generative AI in general has been interesting.

In the prehistoric times, i.e. the pre-chatGBTGPT times, when very few were paying

attention to all of this, Google was ahead simply by virtue of paying attention. Back in 2014,

they acquired DeepMind for a then-massive $500 million, but problematically, it was not their

only AI effort. In fact, part of the reason that they were caught flat-footed when ChatchipT

first launched in November of 2022 was that they were caught flat-footed when ChatGBTGPT first launched

in November of 2022 was that AI strategy wasn't consolidated in a single place. That wouldn't come

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