Corey Knowles

Welcome, humans, to The Neuron, where we break down how AI actually works and why it matters sooner than you think.

I'm Corey Knowles, and I'm joined today by our one and only Grant Harvey.

How are you, Grant?

Excellent.

Our guest today is Bowen Baker, who is a research scientist at OpenAI and one of the leading voices studying chain of thought monitorability right now.

Basically, the idea of whether we can observe an AI's reasoning well enough to catch drift, potential misbehavior, reward hacking, things along those lines.

Bowen helped lead the famous hide-and-seek experiments where AI agents invented tools and strategies on their own.

Now he's focused on something even more urgent.

And that's what happens when models learn to hide what they're thinking in other ways.

So before we get started, please take just a quick moment to like, subscribe to the video so you don't miss out on our other interviews and live streams that are coming around the corner.

And on that note, bowing.

Welcome to The Neuron.

Thank you.

Happy to be here.

Excellent.

It's great to have you.

They're absolutely fascinating to read.

One of the most fun things for me since 01 first released is reading what it has to say behind the scenes there as it's working through your problems.

I guess before we move forward, can you explain what it means to monitor information?

and AI's chain of thought and why we would want to do that in the first place?