Today on the AI Daily Brief, the era of mass intelligence arrives.

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

Hello, friends, quick announcements.

Thank you to today's sponsors, KPMG, High Touch, and Blitzy.

And to get an ad-free version of the show, go to patreon.com slash AI Daily Brief.

Well, friends, it is the end of the summer. Here in the U.S. at least, we are in the midst of the

Labor Day weekend, the historical end mark of the summer before we head back to school,

back to work, thinking markets are going to return in September, but actually it's just a bunch

of people who come back and dump all the things that they didn't want to sell into low liquidity

during the summer, leading to poor performance in the stock market in September before it finally

comes back in October and then we get ripping again. But in general, the point is that we are at one of

those seasonal inflection point moments where I think it is useful to reflect on where we've been

and where we're going. This has been anything but a slow summer. We have had numerous model

announcements, GPT5 notably, but then also more recently, and as we'll discuss today, Google's image model

that's affectionately known as nanobanana. We've had lots and lots of policy announcements.

We've had intrigue in the geopolitics of AI. The China-US AI divide continues in these interesting

ways. We've had a scuttlebutt about Enterprise AI. I will be talking about this MIT 95% survey till the day I die,

it seems at this point. And so the question is where this all nets out? To help frame the

conversation, I'm going to do something that we haven't had a chance to do for a while,

which is read a piece by Professor Ethan Mollick from his one useful thing blog, simply called

mass intelligence. It is his rumination on this exact question, what it means when so many

people have access to these hyper-powerful models. And so let's go read that piece, which will be me,

...