Understanding the human body is a team effort. That's where the Yachtel group comes in.

Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years.

Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program.

To learn more about Yachtolt visit yacult.co.com.

J-P. That's Y-A-K-U-L-T.C-O.J-P. When it comes to a guide for your gut, count on Yacult.

To train a large artificial intelligence model, you need lots of text and images created by actual

humans. As the AI boom continues, it's becoming clearer that some of this data is coming

from copyrighted sources. Now writers and artists are filing a spate of lawsuits to challenge

how AI developers are using their work. But it's not just published authors and visual artists that should care about how generative AI is being trained.

If you're listening to this podcast, you might want to take notice to.

I'm Lauren Leffert, the Technology Reporting Fellow at Scientific American.

And I'm Sophie Bushwick, tech editor at Scientific American.

You're listening to Tech Quickly, the digital data diving version of Scientific

American's Science Quickly podcast.

So, Lauren, people often say that generative AI is trained on the whole internet, but it seems like there's not a lot of clarity on what that means.

When this came up in the office, lots of our colleagues had questions.

Totally. People are asking about their individual social media profiles, password protected content, old blogs, all sorts of stuff.

It's hard to wrap your head around

what online data means when, as Emily M. Bender, a computational linguist at University of Washington,

told me, quote, there's no one place where you can download the internet. So let's dig into it.

How are these AI companies getting their data? Well, it's done through automated programs

called web crawlers and web scrapers.

...