Today on the AI Daily Brief, 25 things you can do with nanobanana Pro that you couldn't do with AI image generation before.

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

All right, friends, quick notes before we dive in.

First of all, thank you to today's sponsors, KPMG, Rovo, robots and pencils, and Blitzy. To get an ad-free version of the show, go to patreon.com slash AI Daily Brief, or you can subscribe on Apple Podcasts. To learn about sponsoring the show, send us a note at sponsors at AIDailybrief.aI. Lastly, we are in the last last couple days of the AI RUI benchmarking study. Check it out at R0ysurvey.a.i. And thanks to all of you who have contributed so far. Final quick note before we dive in, we are just wallowing in all of the fun ways to use this new model today. So we will be skipping headlines. Then, of course, over the weekend, we have a big think episode, and we will be back with our normal format on Monday. With that out of the way,

let's dive in. Welcome back to the AI Daily Brief. The last two weeks have been an absolute

embarrassment of riches. We got GPT 5.1, followed by Gemini 3, followed by GBT51 Pro and Codex max, followed,

it turns out, by Nanobanana Pro.

And in some ways, in terms of immediate impact and changing your capabilities with AI,

I think that this image model might be the big one.

Now, quick warning, if you are not already, you got to switch

over to the visual version for this episode. You can find it on Spotify. There's also a version of it on

the YouTube. Today, we are talking about 25 things you can do right now with Nanobanana Pro,

which is, of course, Google's latest image generation model. And importantly, this isn't just

cool things that you can do. This is stuff

that you pretty much couldn't do as of like three days ago with the previous image state of the

art. Now, by way of background, you might remember that a couple months ago, everyone started going

wild for the nanobanana image model. Nanobanana was, of course, its code name, but it became so beloved

that it sort of stuck. Its technical name was, I think, Gemini 2.5 Flash image gen, or something

like that. In any case, what made nanobanana so interesting to people was not that it had

raw output that definitively beat other image models, it's that it was so unbelievably steerable.

It provided for fine-grained editing in ways that really opened up new use cases.

So much that it got me thinking that we need a different type of heuristic or metric or

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