And I think when you synthesize this research, you start with three key insights.

Grades are an illusion.

He was truly a man of vision.

That is completing the square.

And that was enormously liberating to me.

The brain is the record of the feelings of a life.

So he was gay!

Imagine what the iPhone 8 will be able to do.

It gives a real insight into the child.

This seems to break down.

Your insight serves you well.

we could look into that. yeah.

As serviceable a staircase as I've ever seen, sir.

And the future is there for us to use these lava tube caves on Mars.

He is a man of vision.

I see enormous insight and potential.

I've shared with you so far some insights into the world of experts.

The quest for the truth, in and of itself, is a story that's filled with insights.

Then it deserves protection.

That's the Apple background, we stole that because we didn't have time to build our own.

I meant the insight you had into my project.

Chris Anderson That was superb. Thank you so much.

But recently, we've been wondering whether it might be possible to take advantage of this insight, to actually find ways to improve the world, to do something better, to actually fix things, not just understand things.

In general we don't try to please the customer here.

This might be too big for practical purposes.

Shrewd insight.

Observation is a passive science, experimentation an active science.

And I'll say, Hmm, not sure. I'll think about it roughly.

A theory, but a good one.

You are foresighted and will succeed.

Vision is indispensable to a statesman.

Aristotle, in particular, he was not amused.

Or if you light it from above, it becomes more solid.

Yes, that's already cool.

He congratulates himself on his foresight.

Compassion is fun.

So for example, we would put models under an artificial sky.

Insight is the ability to arrive at an intuitive understanding of a big idea using only small clues to get there.

Line them up in your mind, practice insight, acknowledge complexity, arrive at some big ideas.

That's not a sexist question, it's a practical question.

Working with universities all over sub Saharan Africa, and we are inviting them to learn social innovation skills.

And one of the questions, they were very culturally astute, the people who put the questionnaire.

So hopefully that gives you more insight into regularization and it's effects on the bias and variance of the learning algorithm.

How do we actually measure effectiveness? Are we effective?

Engineers, economists, classical economists all had a very, very robust existing latticework on which practically every idea could be hung.