This is a book on Optimal Transport, it is a problem involving mathematics, engineering, probability and geometry everything that was said.

And I think in that sense, this fits really nicely with this lateral thinking idea.

(Applause)

This is all hypothetical, isn't it, Tom? All academic?

It's kind of the model that has worked in other contexts.

I want you to think about how you design computer programs to solve particular problems.

But the trouble with the philosophers is that they were philosophizing when they should have been science ophizing.

Most of my spam I never see, but who knows what's going to happen with the future?

So that we can get a sense of what we can expect them to do.

His thoughts are extremely academic.

Wrong!

Comparative reading actually is nothing new.

And that's my job.

Which means they have infallible powers of logic.

When I think about arguments, I'm talking about

So that is how we would set up.

The only thing that could save her is flying.

So, let me finish by saying that we've thought about this as a kind of engineering problem.

You'll notice too from the syilabus that we don't only read these books, we also all take up contemporary political and legal controversies that raise philosophical questions.

That was the real breakthrough for us.

Tony learns about the ontologically promiscuous, the epistemologically anxious, the ethically dubious, the metaphysically ridiculous.

Psychological scars stemming from moral conflicts... and overt sexuality.

We had to solve the chemistry for making large DNA molecules, and we had to solve the biological side of how, if we had this new chemical entity, how would we boot it up, activate it in a recipient cell.

And the reason that gives me hope is that the first thing is to admit that we have a problem.

I was a scholar warrior in training.

Well, if you teach, if you worship in the temple of learning, do not mock the gods, because they will take you, fill you with curiosity and desire, and drive you.

Critical failure

There is no easy road to learning.

His academic achievements are impressive.

If you did, you are a very capable statistician at this point.

The blue path, the red one, or the green one? Just check one of the three.

It's a shared technology in Africa.

You can use entirely without understanding why it's correct.

Number one high expectations.

And they made extra problems for us.

And that's the difference between problems that are additive,

It's... much more than that.

Means you've got a talented tongue.

So what about the next step?

But if a textbook seems too much fun, it's somehow unscientific.

It's gonna pose quite a legal problem.

sciencey?

Then one last one. f of z.

An answer is that every one of these is a potential problem for passive reinforcement learning.

But the price of its dominance is enormous.