Today on the podcast, we're going to be talking about Databricks and a recent acquisition,

$1 billion for a database startup called Neon that is working heavily with AI, doing a bunch of

things enabling databases for AI agents and using AI agents and code to spin up databases.

I'll get into all of that and explain why. But before we do,

I wanted to mention that my AI startup, AI box, has officially launched its beta. Our very first

product is called the AI Box Playground. And I would love for you to try it out. Essentially,

we allow you to access all of the top AI models, audio, text, image, all inside of one platform

for $20 a month. So you're doing subscriptions to all of the different platforms. And in addition to that,

we have way more features and some really cool tools. Some of my favorites are the fact that you can

generate audio with it. So 11 labs is integrated if you need an audio for something, whether you're creating, you know, a voiceover or whatever.

And you essentially can go and compare side by side the audio tracked from different tools.

So if you generate, you know, if you get opening eye to generate something and you get 11 labs to generate something, you can you can get them side by side.

You can listen to a

comparison of what each of them sound like.

And one of the cool things is inside of the platform, we have the ability for you to switch

the AI model mid chat.

So I might be chatting, I might have used open AI to generate a piece of audio.

I could switch it over to 11 labs, and I could go and check out

all of the different voices in 11 labs. I can regenerate the same thing with a whole bunch

of different voices, stick them all side by side, listen to all of them, and compare, which I like

best. So a ton of really cool features. One of my favorite is the side-by-side comparison of

different model outputs. You do it with audio, you can do that with image, and you can do it with text. You get a response from chat. GP, you're like, eh, I don't really like

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