Savoring, that's a good

word.

That's right.

The second thing I do is I always tell people ideas I've heard, whether they're my own or something else.

If you're not sharing ideas, they're not running through your system.

Creating new ideas is largely reassembling stuff you've seen or putting things together.

So part of what you want to do is just, Enjoy having this wealth of stuff inside of you that you love and cherish sharing and do it.

Is there any research you've done, ideas you've had, that you think are really important but just got ignored for some reason? This is

So you think that school should be more like life, or the point of school should be to teach people to be learners?

That's the idea I'm throwing around in my head these days.

Y- you said it perfectly, Steve.

Could school teach us to be learners, but learners in environments? And in psychology, there's this notion of a wicked environment.

A wicked learning environment is one where there's very little feedback.

And how would you arm people to be learners in a wicked environment? I don't have an answer to it, but that's the kind of question that I'm throwing around in my head, because that seems like it would have very high return.

If we could even make a little bit of progress on that, given that everyone is about to be thrown out into this world.

Do you have advice for young people who are trying to figure out their place in the world?

And so that, I worry that we may face that as well.

So I love the chess example because it so clarifies many things.

There's this term, though a bit technical, I think is very helpful, called closed world versus open world problems.

Closed world problems are ones where everything is specified.

Let's say chess satisfies that, but I'm going to come back on how even chess may not satisfy that in a second.

But let's say chess satisfies that.

All the rules are known, all the objectives are known, everything is there.

Can you explain supervised learning and how your fandom of sports has led you to see sports through that lens?

And so that, I worry that we may face that as well.

So I love the chess example because it so clarifies many things.

There's this term, though a bit technical, I think is very helpful, called closed world versus open world problems.

Closed world problems are ones where everything is specified.

Let's say chess satisfies that.

But I'm going to come back on how even chess may not satisfy that in a second.

But let's say chess satisfies that.

Can you explain supervised learning and how your fandom of sports has led you to see sports through that lens?

But actually, how do we know that they're not doing something worse in opening eyes? I think the nuclear reaction thing is a perfect example.

It's an unbelievable, powerful technology, and I think it's a good starting point.

So let me articulate two things that I think are very different, which actually make it an even harder problem.

One is...

Enriching uranium or plutonium to be able to get a sustained reaction is a lot of money.

On the other hand, building a large language model is not, and it's getting easier and easier.

And while it's in the benefit of companies to tout that they're light years ahead of everybody else, the open source models are getting really good.

So paradoxically, but this – Freedom creates