So, hello, can you hear me?

We can see the slides and they move excellent.

So same thing now that we have enough space over there.

Yes, welcome to the second week of artificial intelligence one.

I'm happy that so many of you found their way back.

And the first order of business, of course, is are there any questions?

You remember, questions are a good thing.

And if you have questions, you do something like this.

So I actually know that you have a question.

And I'll try my best to answer or to tell you later.

Okay, which since we're really at the beginning of the semester,

that's a very good possibility.

Okay, let me try again.

Are there any questions?

That does not seem to be the case.

So we'll just start.

Remember, last week, we mostly did admin stuff, right?

Meaning you want a grade.

We have to have some kind of a way of giving you grades.

It's largely irrelevant for the greater cause of AI.

And the other things we did was basically try and kind of get an overview of what AI might be.

And I've tried to convince you that AI exists.

I in the last almost 70 years, we've been achieving something in AI.

Many of the things that are now called computer science or engineering

were actually born for artificial intelligence because at the time,

it was completely clear that.

It wants to be stroked from time to time.

At the time when AI was born,

the landscape of computer science was very different from today.

Namely, we had what we will now call a couple,

meaning seven or eight supercomputers.

And you could actually program them by stacks of cards and so on that you gave to the operator.

Some person who would feed them into the machine

and you could come back the next morning to get your answer from the system.

It was clear that this is not the right hardware for doing intelligence

because intelligence, of course, is something that does dialogue.

And if you ask me a question, I'm not going to tell you,

oh, give me a big stack of cards and I'll give you a printout tomorrow.

That's not what we think intelligence is.

So AI has been one of the main kind of areas where we've kind of

extended the envelope of computer science in directions where just

engineering for building nuclear bombs or so would not do.

For a nuclear bomb, the computation, it's perfectly fine to give a stack

to the operator and get the result next day.

So many of the things we take for granted now,

personalized computing devices, multitasking, actually color screens that have pixels

and not just letters in green or so.

Those are things that have been developed mostly for AI.

Right. So those are the things we talked about.

What are the things that we talked about?