I'm Adi Cornish, and this is the assignment.

The algorithms that run the internet are changing the way we communicate in real life.

For example, take the idea of an accent.

I'm from Boston, which I know you can't exactly hear in my voice.

But that slow, calm NPR voice, I've got that nailed.

Adam Alexic, thank you so much for being with us. I see you've written a book called Algospeak.

And then that would be the like public media way of doing it.

This doesn't really work like at all when I'm on planet social media, where the native tongue is memes and jokes and ever-evolving

slang, and most importantly, speed.

But if I'm on social media, I'm stressing every word to keep you watching my video.

I'm up talking.

I'm making sure you keep watching everything I said.

These new online accents are shaped by algorithms, the personal recommendation engines that feed each one of us a different stream of content based on when we click and when we scroll.

Like linguists are finding that we're using that weird AI vocabulary everywhere.

So you might hear someone saying something like, our language model just keeps iterating,

prompting new output,

so everything's getting optimized into one big collab.

And even worse,

the out-of-context generational slang,

as in low-key,

we're just vibing and talking like actual memes out loud now.

Internet culture one, no cap. So today we're

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