Andreas Welsch

I haven't read that one yet, but sounds like it's not too far off.

Yeah, I mean, models, multimodal models can recognize lots of things in images, right?

So the biggest hurdle has always been acquiring data, having enough data, having enough, again, good data or labeled data.

Now, if you can use models to label your data and review and correct it.

And again, with minimal human supervision, make sure you get a good data set.

To your point, I'm sure companies like Tesla and Google are sitting on a huge gold mine.

I also wouldn't be surprised if they're thinking about how to tap into it.

Yeah.

Meta, for example, a couple of days ago announced that they are using AI or are going to use AI for ad creation, creative campaigns, targeting what should the ads look like.

And I know to folks in this creative space, ad space, paid social media space,

That's worrisome, right?

All of a sudden, big players like Meta wouldn't be surprised if Google is doing something similar.

They're coming in, they're using technology, they will likely be at least as efficient as we are as people.

So how is our field going to change?

So we're seeing a lot of these conversations

Not just in finance and HR and procurement, but even industries that I would say 10 years ago, 20 years ago, were a lot more on the cutting edge.

They were the new things.

Those were the new tasks.

How do you place ads on Facebook and Twitter and so on?

And how do you optimize campaigns?