Beginner's mind beats expert's mind

We have to be cultivating our beginner's mind. In the beginner's mind, I have every possibility, but in the expert's mind, I have few, and in some cases, maybe none.

I think one key thing is that we don't know it's very rare. We approach a board meeting just like we do anything, we craft the experience about how we think it should be and how we think it's going to be useful.

"Priors" refers to preconceived beliefs or assumptions about AI capabilities based on past experience with the technology.

The updating of the priors is really hard. The models couldn't do some things one year ago. I mean, image generation was full of spellings or reasoning. You just couldn't have deeper and smarter answers. You couldn't do data analysis. So my impression of it from change, trying it a few months ago, that prior needs to be updated.

Everything is simple if you have no idea what you're talking about. So the other side of that is like if something seems simple, probably you don't understand it.

Often smart people have more trouble learning than otherwise because the more book smart you are, the more not knowing something or being wrong, it's not just not knowing something or being wrong, it's like an assault on your identity.