Corey Knowles

I think we're moving into an age where the smartest thing you can do is learn to get excited about change.

Yeah.

Learn to find change exciting and be able to roll with the punches and adapt well.

Joel, thank you so much for joining us today.

This has been excellent.

It's been a really fun deep dive into a very specific industry's use case and to help us better understand where you all at Thomson Reuters are finding these wins and losses and what you've gone through in developing deep research.

I think it's a really fascinating tool that's going to get a lot of use for an awful lot of years moving forward.

Excellent.

Where can readers go to learn more about what you all are working on?

Maybe take deep research for a test drive.

Excellent.

We'll drop a link down below in the video description as well.

Thanks again to Joel, to Thomson Reuters, and to all of you for listening.

I'm Corey Knowles, here with Grant Harvey as always.

And today, farewell for now, humans.

We'll see you next time.

So we built three apps in AI Studio on the show a couple weeks ago, but it feels like we've only unlocked maybe 10% of what this thing could do.

So today, we're going to be joined by Logan Kilpatrick from Google DeepMind to explain the rest.

Welcome humans to the latest episode of the Neuron AI Explained.

I'm Corey Knowles, joined as always by Grant Harvey.