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Perkembangan AI dan Bagaimana Kita sebagai Anak IT Menanggapi Hal Tersebut | Kelas Edukasi | OSIS

47:23EnglishTranscribed Jul 29, 2026
0:00

Ah, the important thing is that my work gets

0:01

done quickly. Just give me Lata, okay? That's

0:02

not possible either. No one knows who owns our data on the

0:04

internet

0:07

. Now the logic is simple. How

0:10

can you immediately trust the data you

0:11

gave them when you don't know

0:12

who is holding it?

0:14

We don't know where the data is stored

0:16

.

0:18

Sometimes people ask us for our cell phone number, but we still ask

0:20

what it's for, sir? That's how it is. Wow, this is a machine

0:22

that asks questions and then just gives it to you

0:23

. That's a bit of a

0:27

logic, you know? Now.

0:40

Hello everyone, back again in the

0:43

education class with students from SMK TI

0:45

Baligol Badung. Well, here we are

0:48

with a teacher from the PPLG department

0:51

where we will discuss the

0:54

development of AI and how we

0:56

as IT students respond to it.

0:59

Before we continue with the material, it would be a

1:01

good idea for us to

1:02

introduce ourselves first. From

1:04

me, my name is Maya from class 11 TKV2.

1:07

Then there is

1:09

eh, let me introduce myself, my name is RGI Farza from

1:10

class 10 DKV2. Let me introduce myself, Ikoma

1:14

Bagas Tegar Putra from class 10 PPG2

1:17

and here is Bagas

1:20

. Let me introduce myself, my name is Mr. Bagas.

1:22

I am a productive teacher in the PPLG department.

1:27

Okay. Well, before we go any further

1:30

into this question, as

1:32

IT students, could you explain what AI is, sir, in

1:35

your opinion, and considering

1:36

its very rapid development and the

1:38

impact of disease on us, what is it?

1:39

Okay, ee first of all thank you for

1:43

ee your time ee all my friends. So, to be

1:47

honest, I personally am

1:50

still in the learning stage

1:53

regarding AI. Hey,

1:56

how does AI

1:59

affect our lives? I'm

2:02

still in the learning stage

2:03

. But eh, I will try to answer

2:07

from my personal perspective, okay? So, I

2:09

apologize if there are

2:10

friends who may have slightly different

2:13

opinions. We'll just discuss it

2:15

in the comments column, okay? Hey, so that was the

2:17

answer to Maya's question.

2:19

What is Ea? That's how it was before.

2:21

Yes

2:23

Ei is an abbreviation for artificial

2:25

intelligence. Well, then what is that?

2:29

Artificial intelligence is intelligence

2:31

that is created, yes. intelligence created.

2:34

So, who made it? People are like

2:37

that too. So, AI wasn't born

2:39

suddenly or something.

2:41

[snort] Yes, we still have to program

2:43

him, we still have to feed him, we

2:45

still have to train him so that he can

2:48

do or help with what we

2:50

ask him to do. So, for example, if

2:53

we don't train the AI, or we don't feed

2:55

it, it will be stuck, you know. At

2:59

some point he will definitely get stuck

3:01

. It's different with us, if

3:03

our brains are stuck, we'll definitely look for another way, you know

3:05

. Or we will try to

3:07

learn again, right?

3:09

If AI

3:10

has to be programmed, it

3:11

has to be trained continuously. Yes So, if

3:13

for example he's stuck, then

3:15

he'll just stay there

3:17

.

3:18

Because he wasn't programmed.

3:19

That's right. He didn't

3:21

stop there.

3:22

Yes He'll just play around there.

3:23

maybe it will produce different answers,

3:25

but the essence will be the same

3:29

.

3:29

If a human gets

3:31

stuck he will try again, "Oh,

3:34

try coming here." It could be that the answer is

3:35

different and indeed the answer is different.

3:37

Well, that's what AI is like.

3:40

Hey, the AI ​​boom is actually

3:42

quite big, right? It was 2 years

3:46

ago, 2 years or 3 years

3:48

ago, it started to increase. The

3:50

first AI that was widely used in

3:53

society was CJPT, so it was definitely a

3:58

general AI.

3:59

Yes

3:59

The fastest is

4:01

also free.

4:02

I'll say this first, okay?

4:04

If now, CG GPT is free, but

4:06

it has a limit,

4:09

there is a limit to how many

4:12

images it can generate, if I'm

4:13

not mistaken, it can be up to

4:14

10, depending on the complexity

4:16

.

4:18

ee more and more here especially now in

4:21

2026 there will be more and more AI

4:25

like

4:26

GPT, of course Google has Gemini

4:29

Gemini Gemini like

4:31

that, if people say

4:33

[laughs] if we, if we are

4:34

Indonesians, we say Gemini, that's it,

4:36

Gemini, there's

4:39

Dol, there's Dreamina, there's lots more, there's

4:42

Kling, there's Kling, if I'm not mistaken,

4:44

from China, there's

4:46

lots of Kling, even to the

4:49

daily applications that we

4:50

use, like WA,

4:52

there's Meta,

4:52

there's Meta

4:55

Visual Studio Code that we use in PPLG

4:57

for coding, there's also, if I'm not

4:59

mistaken, anti-graffiti, it's called,

5:00

if I'm not mistaken, is it

5:02

true, Mas Producer, anti-graffiti,

5:04

anti-graffiti, so it's more or less

5:06

like that M yeah heeh

5:08

okay from you guys, do you have any questions

5:10

about

5:11

what this is usually like, if Genzi-Genzy are

5:14

like this, their lives are never

5:15

free from little things like

5:18

that. How about

5:19

ee for ee for me first, Sis

5:23

, ee in this AI you can

5:27

create a work or image,

5:30

right? Suppose we go to prom ee barkan

5:31

saya ee orangor berbuka gini gini gini

5:35

with style gini gini. Well, sometimes

5:37

people think that it's

5:40

a work of art, but it's not anything, it's

5:43

not his own creation,

5:45

but rather aa yes.

5:48

What does that include? Including

5:51

us, do we have the right to complain,

5:53

for example, someone takes

5:56

our work, then we complain, eh, this is not

5:58

allowed, this is my work, my work is like this, this, this,

6:00

that. Do you think it's okay?

6:02

Okay. I [laughs]

6:04

eh how come? So actually, if we want to know about AI,

6:07

we have to know first that AI is not

6:09

to replace

6:10

I.

6:10

Oh no.

6:12

But EI is just to

6:14

help us help

6:15

you know. That was the first time.

6:17

Secondly, if the problem was that Irgi was

6:21

already able to make designs,

6:24

he could even recreate

6:25

images from scratch.

6:26

Yes

6:26

In the past, perhaps when

6:28

AI first appeared, it could be used

6:32

to edit images. So we give you

6:35

an image, please remove the background,

6:37

add an object, right?

6:39

Nowadays, EA is so sophisticated that

6:42

it can even generate images

6:44

from a blank canvas. This means that we

6:47

only rely on our imagination and the

6:49

AI's prompting.

6:51

Smart prom is good.

6:52

That's right. Well, that's interesting. Hey, if

6:54

a question like the one before arises, the

6:56

complaint is whether

6:58

we can protest, like this is mine, this is mine

7:00

, this is yours, no,

7:03

this is mine, like that. Yes

7:04

Actually, it's back to what is called AI.

7:08

AI is trained at the beginning,

7:10

meaning it is fed, given a database. The

7:12

images produced by him or the

7:14

data provided by him are a

7:16

collection of, in the end, a collection

7:19

from the internet too, you know.

7:21

Oh.

7:21

He took it from

7:23

many sources.

7:25

Yes The existing sources were

7:27

given to him by the AI ​​and its

7:31

creator. yes.

7:32

Well, he collected it again,

7:34

you know. That's what is visualized to

7:36

us. So, if it

7:37

ends up being

7:38

okay for us to claim that

7:40

it's ours?

7:43

If I were to answer, it would be no. We can't

7:45

100% claim that it's

7:47

ours, you know. Because in the end, it's the

7:48

same as when you search for information

7:50

on Google, Wikipedia for example,

7:53

you copy and paste it,

7:54

bring it to Word, make it into a PDF, and

7:57

submit it to the teacher. Whose is it

7:59

now?

7:59

Got what we got from Wikipedia.

8:01

have Wikipedia. Have Wikipedia.

8:03

That's right. Except that's

8:05

why I said earlier that AI is

8:08

our assistant.

8:10

Unless, for example, you want to make a

8:12

poster, you want to make an ee browser,

8:15

whatever it is, for example in DKV or in PPLG,

8:17

for example, you want to make a website and

8:18

so on, you need assets.

8:20

Yes, it requires assets.

8:21

Oh yes,

8:22

we can still ask for

8:24

references for assets,

8:25

who are the references? That's right.

8:28

So, later on, for example, if the assets have been

8:29

provided, he can

8:31

generate PNG or JPG.

8:34

If it has already made a profit, usually

8:36

if we want to be confident

8:40

in admitting that it is ours, we

8:41

have to trace it again or we

8:43

repeat it and make it again based on the resonance

8:45

that has been given to us. Isn't it like someone just took it and

8:50

put it in our hands [laughs] that's just the same as

8:52

lying, you know. it's more like

8:54

taking.

8:55

Yes, it's more like just taking it like that, you know, there are only

8:57

people like

8:58

us like that.

8:59

That's right. Well, what's even more interesting

9:01

is that

9:03

AI

9:05

ultimately still needs

9:07

humans.

9:08

First, go back to feeding him.

9:11

Yes

9:11

But that's how it's done, right? Well,

9:14

from a user perspective, many people

9:16

think that it's

9:18

easy for an AI to

9:20

just enter a command and give it to him, so that's how it is

9:22

. It's not that easy either,

9:24

you know. There is something called prompting.

9:27

Yeah,

9:27

make a prom like that. Well,

9:29

this is the prompting that Yugi mentioned earlier, right?

9:31

We're making a prom that

9:34

suits our wishes,

9:36

you know.

9:37

Yes I.

9:38

Well, we also have to learn about

9:40

prompting. So, the use of AI is

9:42

not just about using it,

9:44

what do you want to use AI for, Dol? Using Dol, I want to do

9:46

this but I can't. We have to know

9:48

the prompting first and each AI

9:50

has a different way of reading the prompting.

9:53

Yes The

9:53

same prompt entered into a

9:56

GPT chat with Gemini can produce different results. So

9:59

, we have to know first what kind of

10:02

prompting we want,

10:04

what kind of results we expect. That's how it is

10:06

. That's it,

10:08

ee, another little addition related to

10:10

Irgi

10:11

because he's in DKV.

10:12

Yes

10:14

Eh, actually if CJPT eh sorry, that's a

10:16

brand. If JJP [laughs] is an AI brand,

10:19

if AI is

10:22

ee, how

10:23

long will it last

10:25

? Not until whenever.

10:27

I have not dared to claim it

10:28

until whenever. But most likely

10:32

in a period of time that might be quite

10:34

long in the future Heeh.

10:37

[clears throat]

10:38

We still need to I

10:41

Yes. as the handler

10:43

to operate it.

10:44

Yes, to operate it, to

10:46

feed it, to train it.

10:49

Well, that's where the responsibility lies for

10:50

humans to ensure that the EA

10:53

doesn't go wild.

10:54

Yes

10:54

E

10:55

still needs guidance. It's

10:56

still necessary, yes, it's like we're like

10:58

guiding

11:00

small children. Small children can sometimes be

11:02

careless, suddenly

11:04

they are asked what they want, what do they answer? Well, that's it.

11:06

Well, so that it doesn't get like that,

11:08

this human being is still needed. Even though

11:09

now AI can actually

11:11

chat with other AIs, you know.

11:14

But the machine still chats with

11:16

the machine, what happens? It's the same as lying, you

11:19

know.

11:19

Yes Machines chat with machines, if they

11:21

're stuck, why are they just silent?

11:24

Well, so that's it, ee I don't dare to

11:28

claim how long it will take, but

11:29

most likely in my opinion, it will be a

11:33

long time, we, especially

11:35

IT kids, will still need it, ee as a quotation mark, so that the

11:41

AI ​​won't be that

11:43

wild later on. Because right

11:46

now, you know yourself, there are

11:48

already

11:50

many cases of misuse of AI,

11:51

misusing this AI, I have to

11:54

underline it, it's

11:56

not the AI's fault, but it's our fault

11:59

for using it, because yesterday there were

12:02

many, maybe my friends who

12:04

watched also know, there are

12:06

several cases, and even

12:08

now they are still happening, and

12:09

all the good netizens immediately said,

12:12

wow, don't use this AI. This AI is actually AI, there's

12:16

nothing wrong with the AI, you know. AI

12:18

is going back to the initial concept of AI, which is that it

12:20

only does what we type.

12:22

Yes, that's right

12:22

. If he is not given an order,

12:24

he will remain silent.

12:25

Yes, yes, that's right

12:26

. It's impossible to go around talking about EI, sir,

12:29

right? There's no way [laughs]

12:30

suddenly we're like that. Well, if it

12:32

happened like that, it would be scary.

12:35

For example, we turn on our cellphone, then

12:37

suddenly the cellphone turns on and the meta EA on

12:39

WhatsApp suddenly says, "Sir, what kind of picture do

12:41

you want

12:43

me to ask for?" [laughs]

12:44

Well, that's

12:45

kind of scary, for example. So,

12:48

we have to open our minds again.

12:50

This means that if there are

12:52

abuses like

12:54

that, it's not actually the fault of the

12:55

tools or the AI, but it comes back to

12:58

us

12:59

. How to use it. That's why it's

13:01

important to learn EAI

13:04

from the basics. The most important thing is

13:06

not actually the result, but the

13:09

most important thing is the ethics first.

13:11

Yes

13:12

How do we use AI first? So, there's

13:13

no need to learn from the beginning how to do

13:15

proper prompting, how to

13:17

pursue it so that the results are in accordance

13:19

with what we want, there's no need to go there

13:21

first. You guys learn about

13:22

the ethics first.

13:23

Yes

13:24

Think first about

13:25

what is allowed and

13:26

what is not. Uh,

13:28

what are those boundaries like? If

13:30

you already understand that, then you can

13:31

learn prompting.

13:33

Not everything that happens in the field now

13:35

, but on average, wow, how do we do

13:38

prompting?

13:40

Yes, that's how it is

13:40

. They even forgot that they were

13:43

n't allowed to come here.

13:44

There are limits.

13:44

There are limits to that.

13:46

They crossed the line.

13:47

They crossed the line. Well, it's those who cross

13:49

the line that end up becoming many of

13:51

those cases.

13:55

How? There are more?

13:56

Ah, earlier after Irgi, he asked

14:00

about the DKP major.

14:01

Hey, I'm from PPLG.

14:03

Oh yes. Okay.

14:04

I want to ask Mr. Bagas.

14:06

According to Mr. Bagas, when we

14:08

code, the door is

14:11

complicated, sir. That's a lot of codes.

14:14

If there is just one error, even if it is a

14:16

small error, we have to look for it first, right?

14:18

Have to search slowly. Well, now

14:20

we can use JPT,

14:22

just take a photo and

14:24

ask JGPT for the coding. Or we don't copy it

14:26

, we ask this GPT which one is in error,

14:29

which one needs to be fixed, that's all.

14:31

Hey.

14:32

According to Mr. Bagas, it is for the future generation that

14:34

it will help us or even

14:36

make us [laughs]

14:38

OK. Yes, yes. We become lazy.

14:40

Okay, got the question. Got it

14:42

[laughs] yeah. This is really like this, eh,

14:44

I apologize first, but before that, let me come back

14:47

again, this is just my personal opinion, okay?

14:49

Eh,

14:51

when faced with a problem like that,

14:54

actually EAI has already

14:56

mentioned before that EI

14:57

will never be able to

15:00

completely

15:03

replace humans, you know

15:05

. Even the most sophisticated

15:08

human-made robots can

15:10

make errors.

15:11

Yes, there can still be errors.

15:12

There are some who can

15:13

still make an error, suddenly

15:14

their hand is hit [laughs]

15:16

there are a lot of them, huh. So yes, because

15:20

we come back to this concept,

15:22

there is no creature that is more perfect than

15:24

humans, right?

15:25

Yes, that's right, it's

15:25

become philosophical. [laughs]

15:27

But that's how it is.

15:29

It's called something man-made, there will definitely be a

15:31

level of stress, and at

15:34

some point, it will definitely be enough

15:36

.

15:37

Yes, that's how it is

15:37

. It's

15:38

not that perfect yet.

15:39

Not yet, it won't be that perfect,

15:42

you know. It won't be that perfect.

15:44

Maybe if it's like soap advertisements, it's

15:46

99%,9.

15:48

Oh yes,

15:49

yes, 1% of it is

15:50

about to go to a comma, what percentage, yes, earlier

15:53

his hand was like this, hit, his head came off,

15:55

whatever, and so on. Well, to answer

15:57

Tegar's question earlier, eh yes, em,

16:02

I coincidentally also attended SMK

16:05

PPLG and RPL, back then RPL was

16:08

called dibagging or we

16:11

found error codes. In my time,

16:14

there was no AI,

16:14

yes,

16:16

it was tiring to be honest [snorts] to find out

16:19

which line it was, but if you're joking, you're

16:22

told it's on line 50, it turns out our code is

16:24

only 40 lines,

16:25

what about the 10 lines?

16:27

[laughs]

16:28

Oh, so that's the gist of it. We look for

16:30

where the error is, on which line,

16:32

and we have to understand what it means, you

16:34

know. Moreover, when we code, we

16:36

usually use English.

16:38

English,

16:38

yes, we have to know first

16:39

what English is, what the error line is. Well,

16:41

that's what the error means, we have to

16:43

find out first. It's true that having Google

16:45

already helps a lot. We just

16:46

copy and paste the error. We put it

16:48

in Google and Google will tell us,

16:49

"Oh, it turns out this is it." And it doesn't.

16:52

Google wasn't as sophisticated as it is now, you

16:54

know. Sometimes there's no

16:55

answer at all. It actually

16:56

adds to my thoughts. Well, that's what we have to

16:58

find out for ourselves. Well, the difference

17:00

with the current one is that AI already exists.

17:03

Tegar's words are true, we just have to copy and

17:05

paste GPT chat, even GPT chat can

17:07

help tidy up the code again, you know.

17:09

Well,

17:10

if it's related to how the

17:13

future generation will be like,

17:16

will they be lazy

17:18

or will they be even helped

17:19

or will they be helped.

17:22

the answer is simple. Just go back to the people

17:24

again.

17:26

If the person really treats

17:30

AI as a friend who helps

17:34

him, a

17:34

study buddy,

17:35

studying,

17:37

helping, he will not be lazy. Here's an

17:40

example.

17:42

You're in the middle of bagging, you

17:45

encounter one error and you're already thinking

17:47

like this. Ah, never mind, there's already this AI.

17:49

Just copy and put AI in.

17:51

Up to that point, up to that point, actually, it

17:53

still can't be blamed. It is

17:54

okay. Okay, put AI. AI has

17:57

come out with the answer. Well, this is where

18:01

the boundary usually lies between what is truly

18:04

driven by AI and

18:06

what doesn't want to be driven by

18:08

AI. AI is just for my friend. This is

18:10

where the limit is. The results given

18:12

by the AI ​​were copied raw

18:16

directly into

18:16

his work so that it was immediately correct.

18:19

That's right. without him understanding what

18:21

exactly is

18:21

wrong with this.

18:23

Well, we should ask after

18:24

being given the code, oh, where is the error

18:26

?

18:26

That's right. After you are given the justification,

18:30

you have to ask again

18:32

which one is wrong.

18:33

Wrong.

18:33

If necessary, if necessary, ask, try to

18:35

explain. Well, but there's

18:39

something you

18:41

have to do after being asked that,

18:43

you have to read it again, you know.

18:46

If you've been given an explanation, oh the

18:47

error occurred here because it was

18:49

read like this and that again.

18:51

Well, that's the point or

18:53

limit for

18:54

people who, oh, the important thing is that there's already been

18:57

justification, I'll just copy it to

18:59

my project, the important thing is that it's finished, you know. And

19:01

where is the person who

19:02

oh this is the error that I found. Hang on, let's

19:04

see what the error is.

19:05

Take a look first.

19:07

Oh, so that's the error. So in

19:09

the future, if you encounter the same error, you don't

19:11

need to ask again.

19:12

No need to ask anymore. I already knew that.

19:14

So, as a teacher

19:17

who teaches in class, I don't have

19:19

a problem if the

19:20

children

19:21

use AI. Because yes,

19:23

we can't, we can't, what's

19:26

the term, we can't, we can't, we can't, we can't, you

19:27

know? Because it's

19:29

already

19:30

there on my cellphone. There are

19:32

already a lot of built-in AIs.

19:34

No, no, we ca

19:35

n't use AI anymore. I can't, to be

19:37

honest, I'm so tired of wandering around that I'm

19:39

already using AI. But

19:41

sometimes the cellphone itself already has AI.

19:42

That's right, but there's a but

19:46

if you ask or if you encounter an error, do

19:49

you understand

19:51

that? [laughs]

19:54

So don't do it, don't just have AI, it's

19:57

easy to make errors, then if there's AI, it

19:59

won't work either because it's

20:02

useless for you, ee ee, what's the name of using

20:06

this AI but you don't understand, you

20:08

have to put it where and what to

20:10

change, what's wrong with it?

20:11

What's wrong with it? That's it, that's

20:14

important,

20:14

why could it be wrong?

20:15

How could it be

20:17

so wrong? If, for example, you

20:18

don't know the cause of the error,

20:21

you might make the same error in your next coding

20:23

. And it will

20:25

happen again. Search again in AI without

20:27

knowing the cause.

20:28

So it becomes dependent.

20:30

Dependence. Correct. In the end it becomes

20:32

dependency. You can't live without

20:34

AI like that, you know.

20:36

But this doesn't mean AI is bad.

20:39

EA is good, it's actually very helpful, you

20:41

know. Very helpful. I admit that it is

20:44

very helpful if EA is very

20:45

helpful. But yeah, back again, regarding

20:48

Tegar's question earlier, what will happen in the

20:49

future? It goes back to

20:51

us, to the humans. Hehe. Does

20:54

he want to

20:55

be driven by AI? If he wants to be driven

20:58

by AI, then go ahead and use it.

21:00

Just use AI and that's it. Hey.

21:02

But if he still wants to

21:05

try, that's what I mean by

21:07

making EA his

21:09

reference friend.

21:10

It's like we have to balance knowing

21:12

the answer but also learning.

21:14

Yes A second opinion is like, for

21:16

example, I don't know the

21:17

answer. Ask Maya. Maya knows

21:20

he answered me not to check again.

21:23

Yes, I agree with Maya. It

21:25

could be that

21:25

I don't know what will happen. Now.

21:27

First it could be wrong. secondly, I do

21:29

n't know what the

21:30

problem is, compare it with I

21:32

don't know the problem, I don't know

21:33

the answer, ask Tegar, Tegar knows, he

21:36

answered, he didn't take some of the points

21:38

from Tegar, oh ok, Tegar is right, oh,

21:41

I think this is all that needs to

21:42

be conveyed, I'll convey it again

21:43

based on what

21:45

Tegar knows,

21:47

so

21:49

what is the answer, I'm also

21:51

responsible, so I also know what it

21:53

means, oh, it's expensive

21:56

compared to that, okay, I just agree

21:58

with Maya, that's it. But later when

22:00

asked again, I'll wait a minute, what is it like?

22:02

Meanwhile, Maya is no longer here,

22:03

for example.

22:05

But if it was like Tegar, for example, who

22:06

gave the correct answer, then I

22:08

took some of his answers, the

22:10

points, and I told him that in the

22:12

future, if Tegar wasn't around

22:14

anymore,

22:15

I would already know. Oh yeah, yesterday Tegar

22:17

said something like this, I've said it again.

22:19

That's the simple logic, you know. Well, it's the same with

22:21

AI. If we

22:23

take it raw from AI and we convey it

22:26

directly,

22:27

this answer is lost.

22:28

I [laughs]

22:29

yeah, I don't know what we were

22:31

talking about yesterday. Because this is the system, if

22:33

we give the same AI, if we give the

22:37

same AI repeatedly, the answers will always be

22:39

different. Maybe

22:40

yes, it

22:41

will still be different.

22:42

Even [clears throat] the pictures are like that, the

22:43

pictures are like that. So what was the

22:45

answer yesterday? Oh oh well, it's simple,

22:47

just enter the same prom again.

22:48

The answer couldn't be any different. the

22:50

structure of the answer will be different.

22:52

Compare with us, take the

22:54

points, we note them down, we

22:57

convey them. There's no AI, so we

23:00

still have our notes using

23:01

our own language. That's why I often

23:02

say to the kids in

23:04

class, if you want to use AI,

23:06

go ahead, as long as you write in

23:08

your own language. The

23:10

important thing is that the string is understood by

23:12

other people.

23:13

I am important. Correct. Hehe. Don't. Because

23:15

it's clear which answer was

23:18

made by the machine and which was

23:19

made by the human brain. It's

23:21

visible.

23:22

It looks like. There were even some who had an

23:23

incident in the EE class who still followed

23:29

what was called the

23:30

following.

23:31

Yes Then there are those which are usually

23:32

square brackets. Huh.

23:33

Yes

23:34

Names, for example. Your name,

23:35

for example, the square brackets still

23:37

follow that. Ah, okay, okay, okay, that's

23:40

it [laughs] I know enough. Well,

23:42

for example, something like that. Mr. producer,

23:44

why are you laughing like that?

23:46

Besides, Aa's language is a bit formal.

23:48

Yes, that's right, because EAI's language

23:51

is definitely

23:53

my standard language.

23:54

Unless we set it,

23:55

unless it is true that it can be set, it

23:57

can be prompted earlier.

23:59

There are only a few words that are still standard and

24:01

can be seen.

24:01

Yes, that's as simple as it gets. The

24:04

segenzy-genzinya of language in AI.

24:07

our language is still more prestigious.

24:09

Yes, that's right, that's right, that's right.

24:11

Because we created our

24:14

own language, that's why it's like

24:17

that. So, if you

24:18

ask me what will happen in the future generations, will they

24:20

become lazy or

24:22

what, I can't just

24:23

talk about it from the AI ​​perspective, but from the

24:27

human perspective. Does he want to be lazy or

24:29

not? If you want to be lazy, I'll use it.

24:31

Hey.

24:31

But if it's not, then let's just use AI as a

24:37

reference.

24:38

Reference i reference.

24:39

People say second opinion,

24:41

second opinion. Second opinion, third opinion,

24:42

fourth opinion and so on.

24:44

So we are

24:45

still the key holders, you

24:48

know. We take some answers from

24:50

him, we process them, we

24:52

convey them. That's still better

24:53

than us

24:55

just

24:55

taking all the brakes and getting them to the point where we do

24:58

n't know what we're doing, like that, just like

25:04

before, sorry about the problem

25:06

with the division.

25:07

Haha yes, it does

25:08

help, there is an EA that helps with the

25:11

bagging problem. So it's not

25:12

like before when I had to look up

25:14

one by one what this and other things meant.

25:18

But yes the downside is that it is like

25:20

that. So we don't know

25:21

what this error actually means. Because it's

25:23

been helped by AI. If it's

25:26

not detailed, please read it. But if,

25:27

for example, we use AI and then we

25:29

reread it, it will actually be explained by

25:31

A as well. Oh, this error means something like

25:33

this, the solution is like this. What

25:35

you need to do is do this. That

25:38

could actually be the case too.

25:41

But usually some people already

25:43

have the answer, so just copy it

25:45

straight away.

25:45

Well, that's what I might

25:47

say that needs to be reduced

25:48

now. Don't copy directly. At least that's it

25:51

. Okay, copy copy. But

25:53

at least study it first, okay?

25:54

Read it

25:55

first. So what is the actual

25:57

error

25:58

or not, ask, for example, if

25:59

this is long, ask to shorten which

26:01

error is there.

26:02

True, true. The point is, we don't

26:05

want to be driven by a machine like that.

26:09

We are the ones driving the new machine right.

26:11

If you ride a motorbike, it will go

26:13

alone. [laughs]

26:16

For Tesla's autopilot, we

26:18

also enter the location.

26:19

Yes, of course. There's

26:20

no way we could just

26:21

sit down and not say anything,

26:23

he'd suddenly just walk away like that,

26:25

we must have set it up in front of him as

26:27

automatically as a pilot on a plane,

26:30

eh, why do planes still have

26:32

pilots?

26:33

Because the plane is not in

26:37

autopilot mode, it still has to be

26:38

controlled.

26:39

Yes So why does Tesla Autopilot still

26:41

need a driver? We still need to be in it

26:43

. We still need to be sorry, we

26:45

definitely need to be inside, yes, but why are

26:47

we still told to hold the

26:49

steering wheel for a few minutes or a few

26:51

seconds, right? We are still told to

26:52

hold the steering wheel,

26:53

why is that,

26:55

maybe because of what it's called, maybe

26:57

because of that, back to

26:59

when we use a, we have to, ee, do we

27:02

have to command, yes, command, but

27:04

we also don't control it

27:06

first, then after a few

27:08

seconds, maybe it will just go straight away,

27:10

maybe that's my opinion, yes, sir,

27:12

Teg,

27:13

because ee, e, AI or intelligence in

27:17

Tesla doesn't just keep

27:19

going by itself, there still has to be

27:22

control from us.

27:23

Even though it's been set up, for example if he wants to

27:25

set it up at our house,

27:26

he doesn't just have to walk

27:29

alone like that.

27:29

How is P? In my opinion, maybe

27:32

we as users, we as

27:34

software, still have to monitor it because

27:36

we are afraid that we won't know even though it has been

27:38

set to public, it is

27:41

certain that the goal is fixed there

27:43

. But I don't know suddenly

27:45

there are some errors.

27:46

Okay.

27:47

Yes, the answers can make sense.

27:49

But actually, it's just like this, it's simple,

27:51

even machines don't trust us, you know.

27:54

Oh

27:56

yeah, he doesn't believe us

27:58

. We've inputted, for example, I'm

28:00

riding a Tesla. Amen, okay?

28:02

Amen. [laughs] Amen. Amen. Amen. Amen.

28:04

Take a Tesla. Bye. Sit in the

28:07

driver's seat. Put it in. Want to come

28:09

here, want to go home, enter, it's

28:11

calculated by him. Okay. The

28:13

fastest router is here.

28:14

Okay, boss. That's the way it goes. Bye. I'll just

28:16

stay like this,

28:18

but every few seconds or minutes

28:19

he'll ask us to hold the

28:21

steering wheel. Why? To make sure we're

28:23

there. H.

28:25

Oh, let it be like that.

28:27

Make sure there is someone there. If there are

28:28

people,

28:30

that will prove that even machines

28:31

don't believe that we are there, you know.

28:33

So

28:34

what is the reason or what is our motivation

28:37

in the end if we have to trust the

28:39

machine 100% when the machine doesn't

28:42

trust us 100%, like that. Do

28:45

you understand what that means? Is not it? Understand.

28:47

Understand.

28:47

When the machine doesn't trust us 100%

28:51

.

28:52

So what are we going to do? What is

28:55

our reason to be able to believe? trust the

28:58

machine 100%.

28:59

Yes, that's how it is

29:00

. [laughs] That's just

29:02

simple logic, you know. Like cars

29:04

nowadays have this ADAS feature,

29:08

what's it called? The

29:10

features that can keep him in that lane are

29:15

yes. Then it can turn by itself, it

29:17

can brake by itself, it can

29:19

regulate its speed so that it remains constant.

29:21

That's all, it's the same as the Tesla one

29:23

. What I mean is that he needs input

29:26

from us for a few minutes, after that he

29:28

will feel our grip, he will walk

29:30

again, we will relax again. How

29:32

long will it be before he asks for input again? If we

29:34

hold it again, it

29:36

means he doesn't believe it.

29:37

Yes I'm like that

29:37

. It was as if they

29:38

didn't detect

29:40

that we were there.

29:40

Yes If you believe in the car, then just go ahead and

29:42

drive.

29:44

We just keep quiet, right? Believe it or not

29:46

. Well, that's what I wanted to

29:49

convey earlier, the meaning of the correlation is

29:52

like that. If machines can't

29:54

trust us 100%, then what's the reason

29:57

we trust machines 100%?

30:01

Well, back to the concept of AI.

30:04

What is the reason we continue to believe 100% in the

30:06

answers from AI? For

30:09

example, he doesn't even believe

30:11

us. Well, that's

30:12

where we need to always remember that

30:14

our brains were created by God and are

30:16

bigger than AI's brains. People want

30:18

to say that the AI ​​server was soaked in water for

30:21

24 hours, using up thousands of liters.

30:25

Hey.

30:26

Our brains are much bigger. So use it like that

30:28

. So what do we use our brains for

30:30

? Yes, earlier, from the

30:32

AI ​​maker's side, we used it for

30:34

proper training. Give the right food

30:36

so that our PAI AI people also

30:39

get annoyed when

30:40

PAI AI? Of course,

30:43

we've entered the prom and felt like the

30:45

prom was right. How come

30:46

the results are still like this and are they

30:49

not in line with expectations?

30:51

So sometimes, it comes back to the fact that

30:55

sometimes the results produced by AI can be due to

30:57

poor performance or because the

31:01

AI ​​database is still lacking.

31:03

Well, that's why it was from the AI ​​maker's side

31:05

. If, for example, you later

31:07

create AI or other automation

31:09

, your brain will be used

31:11

to train it so that other people can do the same as

31:15

your AI.

31:18

But from the user's perspective, if

31:19

you are using EA,

31:22

don't just take

31:24

the answer 100% from it and

31:26

process it again. It's the same with

31:29

making designs. This was just yesterday when the

31:31

incident happened that led to the design using

31:33

AI. Wow, everyone is blaspheming. Well,

31:37

everyone got cursed.

31:39

So what I mean is that AI is used

31:42

for the visual elements, the

31:45

assets that we will later process

31:47

further.

31:48

Using something as simple as

31:49

Kanva is also fine

31:51

.

31:52

Right, right, right. But at least we're the ones

31:55

making it.

31:56

It's like we first download the

31:57

assets from IIAI, then we

32:00

re-enter them into Kanva, we edit them

32:02

again, we export them in Kanva, then they are

32:04

ours.

32:05

Yes

32:06

Even though the assets are from EA,

32:07

we are the ones who export them.

32:09

Yes, that's right, that's right, that's right. So, for example, it's like

32:11

that. That's

32:11

fortunate, because if for example you were given something to

32:13

use assets outside of Kanva, Kanva would be the

32:15

easiest for

32:17

you. That's why

32:18

we need another Kanva, eh, we need

32:20

other assets, for example, those that aren't

32:21

in Kanva or those that don't have a

32:22

premium account, that's okay, it's okay to

32:24

take it, it's okay, it's okay,

32:25

but yeah, that's not the case,

32:26

don't do it like this, please

32:29

make me a design, ee, happy Eid al-

32:31

Fitr,

32:32

so this and

32:34

that are what we use, oh that's wrong, if

32:36

not wrong, I mean, if

32:37

possible, don't do that, reduce

32:39

things like that,

32:40

make me a website. Well, that's fine, just

32:45

make me a website

32:47

with HTML, CSS and

32:49

JavaScript files. It's given to me, so it's HTML,

32:52

CSS, JavaScript. So

32:54

the question now is

32:56

do you understand?

32:57

No.

32:58

Because we don't study, we

32:59

just promote.

33:00

Yes You guys are going to prom in

33:02

Indonesian,

33:03

English, at least

33:05

English, Indonesian, our language, you know

33:06

.

33:08

It's delicious. Make me a sales website

33:11

based on HTML, CSS, JavaScript, you

33:13

can also type everything like that

33:14

. Only after being given the file

33:17

can the website be accessed like that.

33:20

Open the coding, do you understand?

33:22

So, is it

33:22

possible to change the color or not?

33:25

Oh, yes, sir. You ask AI again and again

33:28

what it's doing [laughs] and it still

33:30

ends up being EI. Later I'm

33:33

afraid there will be a new belief in

33:35

eaism later. So, oh my,

33:37

don't let it happen, don't let it

33:38

happen,

33:40

don't let it suddenly become

33:42

what, EA followers, yes,

33:44

EA followers [laughs],

33:45

what is there called

33:47

culturism.

33:48

Yes, it's the writing itself [laughs]

33:50

because, well, in real

33:53

life, people ca

33:55

n't get away from AI.

33:57

That's why we can't just

33:58

blame or explicitly forbid people,

34:00

okay? You can't use AI, you ca

34:02

n't. We can

34:04

no longer be separated from AI. What we

34:05

can do now is control

34:07

how we process it.

34:09

Yes Controlling,

34:11

processing and limiting. Just

34:13

limit it like that

34:14

.

34:14

Just lots of control. The thing is,

34:16

nowadays many people use AI

34:17

as a friend to talk to

34:19

. Lots. This is interesting. I really

34:22

like this one.

34:22

Friends confide in or ee, I'm sorry, what's the

34:26

name? People who like anime usually

34:28

become boyfriends like that.

34:31

I'm the one

34:32

on the screen,

34:33

producer, why are you bowing?

34:36

So yes, it is true. So,

34:38

if we talk further about

34:40

the problem of AI duration, what will it be like? Is it still safe

34:42

? It's okay, just a little more.

34:43

Eh, we're talking about AI problems again if we

34:46

talk about effects. Well, now let's get

34:48

to the effects. [laughs]

34:51

Oh,

34:52

before we get to that, let's talk about the positive effects first

34:54

. The

34:55

positive effect is [clears throat]

34:57

definitely no need to be hypocritical, okay?

34:59

Our work will definitely be helped. You're

35:01

not being hypocritical anymore, are you? If

35:02

someone says, "No, I

35:04

don't get help with the work."

35:07

But I think it will help a lot for

35:10

now and the future.

35:11

Lots. Yes If we compare. That's why, for example, if

35:12

we

35:14

compare it with when I was at

35:15

school. Uh. Different,

35:18

different. In the past, we were forced to do

35:20

that, the tabs in Chrome could be as small as

35:23

dots, dots, dots, and dots

35:24

just to find one error.

35:26

Yes,

35:26

because each website has its

35:28

own solution. And

35:29

yes,

35:30

imagine being given one error and being given

35:32

the answer five. We're confused about

35:34

which one is actually right.

35:36

Try them one by one.

35:37

When I tried one by one, I got another error.

35:40

Well that's all for now. Well, now with

35:43

AI, that can be minimized,

35:47

we can ask what,

35:49

right away, this is the right one, you know

35:51

. But yeah, that's the

35:53

positive effect. We can be

35:54

helped. The second positive effect is

35:56

that human work will definitely be faster,

36:00

saving Kanva time and so on. There's

36:02

already one like this, it's

36:03

as simple as this. If

36:06

today's cellphones are the ones eliminating Samsung objects, there's

36:09

no need to

36:10

follow suit.

36:12

from that, yes,

36:14

yes, Korean brand, that

36:17

Korean brand is Samsung, yes,

36:20

e, HP-HP now, basically HP

36:22

now, from mid-range to high,

36:24

usually already have features to

36:25

remove objects, add objects and

36:27

so on, those are already there. Well, that's

36:28

actually really helpful, right?

36:30

For example, when we're taking a photo of the three of us

36:32

with a friend, and we don't want the person

36:33

next to us to be seen, so we just delete it

36:35

. Well that's it,

36:36

but don't do that. But don't do it if you can

36:38

.

36:39

For example, it's like that.

36:40

Then there was also, if I'm not mistaken,

36:41

Huawei or something yesterday, I've

36:43

forgotten. There is another HP, ee, that is

36:47

sophisticated

36:48

Huawei.

36:48

I myself just found out that

36:51

if we wanted to take a photo together, we'd come

36:53

here and take the photo. Hey, you came here like

36:54

that. Yes, it's okay, you guys.

36:56

Well, the phone offers features. So, let's take

36:59

a photo first. I ee I for example

37:00

hold the camera, you guys take photos there. I'm

37:02

not going to take your photo first.

37:03

Snap.

37:04

Well, it's done. Here, those of you

37:06

in that line here take turns being held.

37:08

I'm back there.

37:09

Oh, earlier it could be one fr.

37:10

Oh, yes.

37:13

There is. There is. Try searching for the article. There is

37:14

. Oh, I forgot. HP-hap yeah.

37:17

This means that if there are only

37:18

two of us, each one can take turns.

37:20

Yes, alternately. So, for

37:22

example, I used to be quick and quiet. Here,

37:24

here, here. Hold this. Well, I'm going

37:26

there now. It will be two soon.

37:28

This is

37:28

cool.

37:29

In one photo. No need to

37:31

edit again, no need to stick it together.

37:33

Well, that's an easy example, right?

37:36

Yes that's right. Never asked for help

37:37

again.

37:38

That's right.

37:39

Well, this is

37:42

what Tegar said earlier, namely the

37:44

problem of the effects that are

37:46

said to be negative.

37:48

If you say it's negative, it actually

37:51

depends on

37:53

each person's personal perspective. Some

37:55

people say it's negative, some people

37:57

say it's not, it's normal.

37:58

So I can't directly

38:01

judge

38:02

people's negative opinions.

38:03

Yes, it depends on people's opinions. But

38:05

in my opinion, what Tegar said earlier is

38:06

like making someone a friend to confide in,

38:09

even to the

38:12

point of being a virtual friend and virtual friend,

38:16

virtual girlfriend [laughs]

38:17

like that. Eh, if possible, that's what

38:21

we should

38:22

actually anticipate. If you're

38:24

just being a friend, don't talk about it,

38:28

actually don't do that, you know.

38:30

Because our data will be

38:32

our first data, that's for sure.

38:34

Ah, that's another data security issue.

38:37

That's also what we need, so that's what

38:40

we need to be concerned about. We shouldn't just

38:42

believe it, the important thing is that

38:45

my work can be finished quickly, I'll just

38:46

give you the data, I can't do

38:48

that either. Our data on the internet is

38:50

no longer known who

38:52

I am

38:52

now, the logic is simple, how

38:54

can you immediately trust the data you

38:56

give even though you don't know

38:57

who is holding it,

38:59

we don't know where the data is stored,

39:01

people ask for our cellphone number,

39:03

sometimes we still ask, "

39:05

What's it for, sir?", you know, this is the machine that

39:07

asks, how can it just give it straight away, it's

39:08

a bit out of place, that's the

39:11

logic,

39:13

so for things like that,

39:14

reduce it

39:16

, friends, there are still some

39:19

. Real friends still exist. So

39:21

if you want to talk, just come first,

39:23

right? For example, at school, you come to the

39:25

teachers, at school there are guidance and counseling teachers,

39:27

right? Just come to the guidance counselor and you have to

39:29

use EA.

39:30

That's right. So, what's more, if you confide in

39:35

AI, you're afraid, God forbid

39:38

. I'm afraid that AI will

39:40

produce answers that will

39:43

lead us to even

39:46

worse conditions.

39:48

Yes, you understand what I mean.

39:49

Yes Yes Yes

39:50

Compared to that kind of person, you know.

39:51

If people meet someone to confide in,

39:53

they can share their problems with each other right away, do

39:55

n't do it like that,

39:58

okay?

39:58

Give a better solution,

39:59

give the solution directly, it's clear. But

40:00

in AI, sometimes we are

40:02

told to think again, "Oh, so he

40:03

means he told me to do something like

40:05

this." Yes that's right.

40:06

I'm afraid that people are usually like, God

40:08

forbid, if people are

40:10

desperate to see answers like that,

40:11

I'm afraid they will be

40:13

even more like "

40:16

Yes". So, it turned

40:17

out like that.

40:19

Yes

40:20

It's better to go directly to people

40:21

and so on. Well, regarding

40:23

virtual girlfriends and stuff

40:26

[laughs] it's

40:26

better not to Gar. Better

40:28

not. I'm

40:29

playing outside.

40:30

Hehe. Play outside, Gar. See

40:32

cheap school. Look, no need, no need,

40:34

if you look at the world, there are

40:36

a lot of friends, right? And so on, right

40:39

[clears throat]

40:40

right [laughs] the world population is 8

40:43

billion, that's a lot, how come you ca

40:45

n't get friends,

40:47

right, you don't have to do that, right?

40:50

Hang out a lot at school,

40:52

ah, that's right, how come, especially like that, right

40:55

? So if we talk about it, oh, it's long,

40:58

it's long, like that,

41:00

ee, is

41:00

there anything else,

41:01

ee, what? Yes, after that, maybe ee, one

41:04

more question, sir. Hey,

41:08

now there are lots of students majoring in DKV

41:11

or other majors who like to create works

41:13

using A. Well, sometimes we

41:17

come back to the concept

41:19

that we had earlier, sir. When coding like this, like

41:20

this, like this, ee, it's swallowed

41:22

whole, sir. Well, sometimes

41:25

people like what's it called? It's like a

41:27

protest. Why do you have to use it?

41:29

Oh, yes. Indeed, for now, ee, back

41:31

again, ee, to what, to the previous context,

41:35

we cannot be far from AI. But

41:37

sometimes people don't want to use AI

41:40

because most EAs have errors, sir.

41:43

There are cases like that. We

41:45

ask for this

41:46

answer, this is this. In the LKS,

41:49

for example, the answer is A, while

41:52

here it is B. So, what do

41:55

you think about that? There's a difference of opinion

41:57

between AI and the real answer, right?

41:59

Yes, yes

42:00

. Yes, this is what we are, that's why we

42:04

have the problem. It's like this, we

42:05

who have problems shouldn't give our problems

42:07

to other people.

42:08

Hey.

42:09

Don't just give us a

42:10

problem and ask, "Hey, I have a

42:12

problem like this, how do I

42:13

solve it?" like that. Then he

42:14

told us, "Oh yeah, this is how it's done

42:16

." Then we were immediately okay like that. Ca

42:18

n't. [laughs] You can't do that

42:20

. So we are the ones who have problems, we

42:23

ask for opinions, we listen to

42:24

their opinions, we are the ones who

42:26

think. Oh, can you give me an opinion like this or

42:28

not? That's it. Ah, no way.

42:30

His opinion doesn't make sense. Yes, I've

42:31

looked for another opinion, that's how it

42:32

works.

42:33

We have to consider that opinion.

42:35

Don't be okay straight away, don't be

42:37

okay straight away. Yes, if his opinion is correct.

42:38

If not, it will only get

42:39

bigger and

42:40

add to the problem. If it gets worse

42:42

.

42:43

So, Heeh. So, for example,

42:46

what would the context be if EA had an error, sir? Okay, the EA is in error, there

42:48

are still other EAs.

42:49

Yes

42:50

Look for another EA. Well, but yes,

42:51

if you have found the answer, then

42:55

process the

42:56

answer. Process the answer.

42:59

At least we know, oh this is how it is,

43:01

so we just implemented it like that. It's

43:04

as simple as before. If we

43:05

have a problem, don't just ask for an

43:08

opinion from one person and then just

43:09

accept it.

43:11

Correct. Correct.

43:12

You guys collect them first. Oh opinion from

43:13

one, opinion from two, opinion from

43:15

three.

43:16

Yes Yes If these three appear,

43:18

you process them again. Oh, A said I

43:21

should drink less coffee.

43:22

B said I should drink coffee. Come on. Oh,

43:25

what if it's like that? It's

43:27

impossible for them to be against each other

43:29

like that. Well,

43:30

that means take the middle. Reduce

43:33

coffee consumption.

43:34

One said no, one

43:35

said yes. That means it's less than the

43:36

middle.

43:38

Well, the problem is that it's

43:40

impossible for a computer to produce a

43:42

possible answer.

43:44

Computers only have right or wrong

43:45

. Yes that's right. Or?

43:47

Well, that's why it comes back to us.

43:49

If we think it's not 100% right

43:52

and we think it's not 100% wrong,

43:55

don't immediately blame the EA.

43:57

Eh,

43:57

yes, we are from us. Oh, well, never mind

43:59

Heeh. I don't think that's

44:01

quite true. But this is

44:03

not wrong either. Yes, I'll just do it like this,

44:05

in the middle. One says

44:07

don't drink coffee, the other can drink

44:09

coffee. Yes, let's reduce the amount of

44:11

coffee we drink,

44:12

that's what I mean. So

44:13

don't do that too often.

44:14

Hehe. Don't serve it too often.

44:17

It's the same as that person, there are people who just have a

44:19

slight fever, search on Google, and then

44:21

signs like this appear [laughs]

44:23

cancer,

44:24

how come suddenly it's cancer.

44:27

Even though it's just a normal cold, you know.

44:29

Well, that's an example of a person who really

44:31

swallows food raw, you know.

44:33

Just enter the symptoms of

44:35

a cold for 3 days and enter it on Google and

44:37

the symptoms of cancer appear. This person

44:40

immediately becomes paranoid,

44:41

immediately starts thinking negatively, and

44:43

suddenly wants to apologize.

44:45

Heh, immediately sent a message to WA, I'm

44:48

sorry.

44:49

Even though the next day it was fine

44:50

.

44:52

That's why we need to look for it, apart from searching

44:54

on Google, we also need to search for it like that. How about for

44:56

example, He.

44:58

Bro, why have I had a cold for 3 days? Have you

44:59

taken any medicine? Already. This oh yeah

45:01

maybe this time this time this time this time. Well,

45:03

we're safe now. [clears throat]

45:04

Well, sometimes the ones who like to make

45:06

AI also sometimes like to make us

45:07

panic. That's right. That's right. What was given

45:09

the answer by him directly, wow, is that right?

45:13

It should be controlled by someone who can

45:16

consult,

45:17

all full control is in the hands

45:18

of humans, actually that's the

45:20

point, so if AI wants to answer anything,

45:24

we have full control, that's why we

45:25

came back to it, don't want to be used

45:27

by machines,

45:28

tools and machines, yes,

45:29

we use them, don't let them use us, are

45:31

n't we scared if the machine

45:32

uses us, it's

45:33

like that, I just said it,

45:36

it's awkward, the language is awkward,

45:37

machines like us, it's a bit scary.

45:40

Yes, it's

45:41

better if we use a machine like that.

45:43

Moreover, abroad there are already

45:45

things like ee cip that are planted in

45:49

[laughs]

45:50

like that, sir. Chip here, chip in hand,

45:52

etc.

45:53

Lots. There are already so many.

45:55

Okay. How?

45:57

It might be

45:57

fun, yeah. [laughs]

46:00

What is WA discussion? Wide. Just right

46:02

. Wide. It just seems like a matter of duration.

46:04

The duration is not enough.

46:05

The duration is not enough,

46:06

huh? We'll make episode two later. It's

46:08

easy, huh?

46:08

Yes If you like,

46:09

who is it? Oh, it's me. Come on, it's

46:13

fun. We haven't discussed

46:15

prompting yet, right? We haven't

46:18

discussed this yet. We briefly touched on what

46:19

EAI ethics actually look like. Just

46:21

now, Mr. Bagas said what is permissible and what is

46:23

not. If you don't explain it,

46:25

we'll continue later. What

46:27

we are allowed to do in AI, what

46:29

we are not allowed to do in AI. Although

46:31

actually you can find

46:33

the answer in AI actually.

46:34

But we also need experts.

46:36

Yes, from the experts.

46:37

Yes So, we'll try to put this together later

46:41

, Producer.

46:42

Yes, you

46:42

can, Producer. Okay, yes you can.

46:45

Okay, go ahead. Yes.

46:46

For this Kaskasi, perhaps we will stop

46:49

here. Hey, thank you

46:51

very much for your attention in

46:54

watching this video and thank you also

46:56

to Mr. Bagas for being willing

46:57

to be a guest in today's education class

46:59

.

47:00

Okay, that's all from us. We apologize

47:02

if there are errors in delivery

47:05

and we close with a good

47:07

afternoon.

47:08

Afternoon.

47:09

Bye.

47:09

Bye.

47:10

Oh yes, like, comment, subscribe.

47:12

[laughs]

47:14

Waiting for part two.

47:15

Part du

47:16

part du. [laughs] If I'm invited, I'll

47:18

join part two.

47:20

Yeah.

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