Okay, welcome back everybody.

That seems to work, nice.

Let me remind you again of the most important links slash URLs you're going to need this

semester.

You can find all of the links again on StuttOn.

I've been made aware that apparently there was some issue that people couldn't access

the StuttOn page for whatever reason.

It should be entirely unrestricted, but there was like a huge waiting list.

I've just mass admitted everyone, so everyone should have access now.

If anyone doesn't, please let me know, then I will look into things and see that we can

take care of that.

The most important link regarding next week is going to be this one for the simple reason

that this is where we're going to do the Tuesday quizzes, meaning that on Tuesday at 16.15,

there is going to be a quiz online for a period of 10 minutes, i.e. until 16.25.

You should log into the system beforehand just to make sure that you're all logged in.

At 16.15, the quiz will go live.

You will be able to find that here by clicking on this button, helpfully labeled quizzes.

Currently, there is no quiz available, obviously, but there is a demo quiz which you can take

at your own leisure just to check that everything works.

Whatever system you prefer to use, whether you want to do it on your phone or on your

laptop, you can test whether things work out beforehand.

Then on Tuesday at 16.15, a quiz will go live and that will go towards your bonus points

for the exam.

Again, the way that this is going to work is if you pass the exam by default, i.e. if

you have more than, say, something like 50%, we don't actually know it yet, of the points,

if you pass, you will get additional bonus points based on your results in the Tuesday

quizzes up to 10%.

One other thing, since we talked about on Tuesday the slight issue that notations happen

to be not necessarily sufficiently standardized, meaning that it might very well be the case

that we use notations in this course, and then you Google things and you find entirely

different notations.

About half an hour after the lecture on Tuesday, a colleague of mine posted a Twitter thread,

which I found very enlightening with respect to that.

Apparently, in one day, four papers were published, all on linear recurrent neural networks, and

all four papers used entirely different notations for the same thing, just in case you're interested.

All of these are basically the same thing and look entirely different.

That's kind of the trouble with math, especially if we get to the frontier of current math

or computer science studies.

Things are just not really standardized, so you have to, to some extent, learn to abstract

away from that.

In theory, the nice thing about our Alea system, which we have here, is that it abstracts away

from that to some extent.

If I jump ahead to somewhere where we have some math, let's say here, you might have

already noticed that you can hover over things and it will show you the definition of whatever

that current symbol is.

If you don't know what this P means, you will see here, okay, apparently it refers to something

with respect to probability spaces.

The way that that works in the back end is that there is a distinction being made between

the concept that is being used and a potential whole list of different notations for the

same concept.