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Channel: Точка сборки

Точка сборки

Марцинкевич

индустриализация

промышленность

промышленная революция

наука

нефть

газ

производство

санкции против россии

ссср

импортозамещение

промышленная индустриализация

АЭС

Росатом

андреймасалович

точкасборки

00:00:00

[music]

00:00:05

Hello comrades, this is the channel

00:00:07

assemblage point presenter Alexandra Trotskaya

00:00:10

visiting us Andrei Igorevich Masalovich

00:00:12

Hello everyone, hello Andrei Igorevich, in

00:00:16

this studio you have already sunk Olucha aircraft carriers, the

00:00:19

population of

00:00:21

Dadada, with 5G towers Yes, I offered antimony caps,

00:00:25

yes, I propose to

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continue, why are we going to

00:00:32

drown? a Let’s piggyback everyone with the help of

00:00:35

artificial intelligence, how can this be

00:00:38

done, let’s start with the Holy One himself, children, what

00:00:41

he does, what he doesn’t, will destroy humanity, how

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he is harmful for children, how you can harm

00:00:47

children with the help of artificial intelligence

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Well, let’s roll back there first to the origins

00:00:53

and a long, long time ago on earth there were no people and there

00:00:56

weren’t even ancient Greek gods, they were

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born there, that’s when the Greek

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gods Zeus were the first they discovered Zeus

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discovered that he was not the first, the first

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goddess named Apata was born, the goddess

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of deception, by the way,

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draws a black-haired, black-eyed girl,

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then she threw the gods first of all, she was

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kicked out to earth she became a person, that's

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how a girl on earth is painted for some reason

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with green eyes, in short, you'll meet a

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green-eyed girl with a mmi

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hair

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exactly obt, that is, in fact, the

00:01:31

art of war is the art of deception That's

00:01:33

accordingly if, as the

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famous anthropologist

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Drobyshevsky says, to survive if you

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eat grass you have to to change the grass

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So that all the grass is not planted,

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she must come up with thorns there,

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figure out how to hide, come up with

00:01:52

some poisons and so on, that is, this is

00:01:55

how predators appear, you need to be able to

00:01:57

hide from a predator, that is, with us, the sun is

00:01:59

time T deception, that is, you don’t have to think that

00:02:01

we live in a world where there are some ideals of

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honesty and kindness, well, a person can

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bring them and we probably need to teach children this way,

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nevertheless, there is deception all around

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Unfortunately, artificial intelligence

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makes this task very easy and

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automates now how to deceive

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children Well, let's start not with how

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we start Why Yeah, for example, I’ll

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start there for a long time, a very

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sad topic, this is the most suicidal blue

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whale there Red owl, etc., the

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appearance of these groups was generally

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completely unclear why, that is, very

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purposefully, very technologically,

00:02:39

children were driven to suicide, and

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not children, but teenagers, that is, until

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some time, the child has a

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subconscious sense of self-preservation,

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he was not scouted, then it turned out

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that this is a technology because it is possible in this way to

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deliver suicide messages there,

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not

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about suicide, but in some quantities

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on Central Square the day before the

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elections that I did not I can live under this

00:03:04

system. That is, it can be made

00:03:06

fashionable and Well, there were such cases. By the way, in the

00:03:08

past in the 10th century, having read about

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drowning there, by the way, then

00:03:22

they fought against it, as they asked a famous

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psychologist there in one city on the Volga,

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there these girls threw themselves from a specific cliff

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here

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the psychologist suggested putting

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a sign there, so they put it up, they stopped,

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here on the sign it was

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written here the bride of Christ drowned,

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jump girls in the pond, there’s a lot of space Well,

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after such a sign like that,

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all the Pathos disappears. That is, there have already

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been cases when somehow

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things were going on there This fashionable, interesting or bright thing

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was brought to the point of being completely provocative, even to the point of committing

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suicide on purpose, it started with this

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because the ses went on. But

00:04:03

we will carry on without falling. So, in the same way,

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countermeasures have already begun to appear,

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now what do they need from

00:04:11

our children? Well, first of all, there are

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quite a lot of them now before they were just

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scammers, that is, if you got on the Internet, then

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in fact you were confronted by two forces

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alone - these are Information Hunters

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who, for some purpose, collect our

00:04:24

data and resell it to someone;

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money, now unfortunately they have been

00:04:37

supplemented by espionage and sabotage and

00:04:41

saboteurs and so on, and it has become so

00:04:45

much worse and grown up. Well, first of all, the

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child has no brakes, he wants to

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paint himself brighter, he leaves a lot of

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information for himself to his

00:04:56

parents,

00:04:58

under the circumstances of life, an easy target

00:05:01

Yes he himself is an easy target and he

00:05:04

makes it very easy, it makes it very easy to prepare an

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attack for various

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types of not only fraud. Well, for

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example, for theft, how he lives there, he

00:05:13

must be ashamed to boast about his standard of living.

00:05:22

soul That is, those who now

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feel unclaimed and

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offended there, here you can play

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on their pride So

00:05:30

somewhere to

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recruit them in this way, the first child

00:05:34

is a very easy target for collecting

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information, how can a

00:05:38

neural network help here, profiling mechanisms have long since advanced greatly That

00:05:43

is, creating a profile based on a

00:05:47

psychological portrait. Well, back in

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1916, there were elections for Trump, here are the

00:05:53

elections in the States, the technology

00:05:55

was already used there, and they started talking about it

00:05:58

about a year before, somewhere around the

00:06:00

year 2019, and the work of

00:06:04

such a scientist named Michael really took off. Kazinsky

00:06:07

Well, not because he is different from me, but he

00:06:09

made a very amazing

00:06:11

presentation. In my opinion, 80 likes are

00:06:14

just likes without texts without analysis, there are

00:06:17

connections there, just a person liked a dog, a

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cat didn’t like, and so on, and so on.

00:06:23

Less than a hundred likes were used to determine the gender

00:06:26

that this is a race, that this is a white man from

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Texas, a Republican, that he is heterosexual,

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that is, a lot of parameters were determined

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why he ended up in the group, there was no previous

00:06:39

diabolical analysis, that if he likes

00:06:41

a cat and not a dog, it means he has

00:06:43

such qualities expressed better than

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others, no, he’s just leading they behave the same

00:06:47

way white men from Texas behave there,

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which means that they

00:06:52

have accumulated a lot of such information to profile, just

00:06:56

why is

00:06:58

this love a child allows you to identify

00:07:01

susceptible ones, I’ll tell you one very sad

00:07:05

secret of the information war, the

00:07:07

information war has now become part of

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practice. So it has acquired methods,

00:07:12

people began to save energy and money Well,

00:07:15

in addition to sawing So I can

00:07:17

tell you that methodically the tasks that

00:07:20

are set for the day there must be a

00:07:22

paragraph at the beginning of something

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like what to do these actions and in the

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target in the composition for such a target

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audience And in the composition of the target audience

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to navigate the group is most

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susceptible to this type of disinformation

00:07:37

or this type of influence, well, that is,

00:07:41

give me sheep, if you think

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why very often fakes are so stupid or

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there are some throwaways

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or gossips really designed for a stupid

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sheep, they really are so calculated, they just

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appeared Mechanisms like theirs choose,

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therefore, communicate less, leave

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your details, and secondly, know that

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if somewhere now, after they were

00:08:08

downloaded from the Internet,

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some public speeches or

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riots began. This means that this

00:08:14

population is simply this particular region or

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this particular city or this village

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or aul was chosen as the most stupid So

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this in itself is a diagnosis That’s why

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why they spent the money

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on you that is So let’s go back

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to the beginning again, in short, the neural network

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makes it very easy to automate

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profiling tasks, that is,

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to process not just units of the profile, but

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dozens hundreds of thousands automatically

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collected automatically processed

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Next, promptly you can write texts for

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each category that will be the

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most catchy,

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well, let me remind you that we have already talked many times

00:08:52

about the tasks of information warfare and the

00:08:55

methodology, the very first thing Where does it

00:08:57

begin to cause an uncontrollable

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emotion

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sleepily for some is pity for

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some it’s fear, for others it’s

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greed, for others it’s pride and that’s

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what exactly what to hook on is very

00:09:09

easy to identify. In addition, a neural

00:09:12

network can build a dialogue that

00:09:14

works there like a gypsy Well, it goes through

00:09:17

everything like oh dear Yes You have I’m not

00:09:21

okay with my husband Yes, no My husband is fine Oh,

00:09:23

your dog is hurting, yes, I have a cat,

00:09:26

yes, it doesn’t matter, your health is bad, I’m telling you, your

00:09:28

health is bad. That is, just like that,

00:09:30

going through it, he finds a pain point to

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cling to that is, neural networks

00:09:35

artificial intelligence is the

00:09:37

art of profiling and primary

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analysis, once again a neural network, even though it is

00:09:43

taught to be good, deceives very well

00:09:45

Well, deepfakes are real now, not

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that they are indistinguishable from reality, they

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have replaced reality That is, when you

00:09:53

pick up the phone, a fake is born from it

00:09:54

Well, by the way I’m not even 100%

00:09:57

joking now, because

00:10:00

last week, if you remember, people

00:10:04

were hanging out and giggling around

00:10:06

one photo

00:10:07

where a girl in a wedding dress, a famous

00:10:10

actress there, well, an American comic actress

00:10:13

took a photo in a wedding

00:10:16

dress on an iPhone and she posed in front of

00:10:20

two mirrors and she herself saw with horror

00:10:24

that in the photograph she had taken one

00:10:25

single photograph and in it She was standing

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in a dress with her back turned and not like this on one in

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one reflection of a hand Like this in another

00:10:34

reflection of a hand That’s how I didn’t see it

00:10:36

So And there she felt terrified that as if two

00:10:39

ghosts were reflected in the mirrors, two ghosts were reflected

00:10:41

instead of her. And when they started

00:10:44

to figure it out, it turned out that the first one she

00:10:47

had was the user

00:10:49

settings checkbox single photo iPhone said

00:10:51

Here's another bag of meat will

00:10:54

show me I'll make it happy, that is, I violated the

00:10:56

user settings took

00:10:58

a few pictures second, he had

00:11:00

the setting not to improve, to shoot as is, he

00:11:03

said, and I will improve,

00:11:07

so I took a few photos, started

00:11:09

to improve, I saw that from his point of view there were

00:11:12

three different people there, for

00:11:15

each he chose the most effective pose and

00:11:19

combined them Well, he took a summary

00:11:23

photo of the apple now claims that

00:11:26

this is about Milne But this is

00:11:27

reality, this is fake or not Fake, this is not

00:11:30

Fake This is a real photo taken

00:11:32

from a smartphone, it is

00:11:34

not subject to any editing,

00:11:36

it was taken just like that, and besides,

00:11:41

neural networks allow Well, that is,

00:11:43

So they allow you to make fakes, that is

00:11:46

to deceive Then they allow you to

00:11:48

replace the landscape Here we are now sitting in the

00:11:50

studio, this is what we now see on the

00:11:52

wall and what the audience sees is very

00:11:54

different. This can be made interchangeable, the

00:11:56

faces can be interchangeable, so you can

00:11:59

replace the voice Well, a

00:12:01

lot, sometimes this is done to

00:12:04

hide a person That's when, for example,

00:12:07

the voice is changed. Well, by the way, this is the most

00:12:09

harmless part,

00:12:12

I can give a professional hint. Those

00:12:15

who change the voice call with a substitute

00:12:17

voice, as a rule, they use for this a

00:12:20

program that he downloaded somewhere. Well,

00:12:21

I found and downloaded access, most often there is

00:12:24

free in such programs reverse

00:12:27

re the special service will restore the voice simply,

00:12:31

and there is

00:12:33

a restore button in the program itself, only it is not

00:12:36

displayed Well, this is a hidden

00:12:38

undocumented function Here But

00:12:41

besides replacing the voice, replacing the

00:12:42

appearance, by the way,

00:12:45

our human weaknesses also

00:12:48

played a role here, and the fake industry was born

00:12:52

from pornhub then eat with money with

00:12:56

Pokhabov's money because the people there

00:12:57

imagined themselves with which film actress so it

00:12:59

was necessary to draw them there

00:13:04

now

00:13:07

in short we realized that children are very vulnerable

00:13:10

Yes they can be deceived in every possible way there

00:13:14

Let's get older Let's take the category of

00:13:19

students Let's Or rather I now

00:13:21

First, I’ll tell you and the viewers a thing with

00:13:23

which No one will agree, now

00:13:25

they’ll start arguing. The Americans conducted

00:13:28

quite large-scale detailed

00:13:30

studies on the

00:13:33

susceptibility to fakes. Well, the susceptibility was

00:13:35

bred by bred. So, the results of the

00:13:39

study showed that there is no

00:13:41

correlation with age,

00:13:43

position, or profession. That’s it yes, they are

00:13:47

scamming professors, they are scamming

00:13:49

middle-aged people, they are scamming top managers, they are scamming young people, they are scamming

00:13:51

children, they are

00:13:53

scamming grandmothers Well, everyone just thinks

00:13:54

that grandmothers are the most receptive Well,

00:13:57

grandmothers are not that susceptible, they are

00:13:59

just stubborn when you tell her to

00:14:01

hang up She doesn’t hang up, not

00:14:05

because she told him she believes it, but because there is

00:14:06

someone there and someone is now pointing it out, that’s

00:14:09

nothing more, in fact, what else is the

00:14:12

problem here? Unfortunately, the

00:14:16

gap between generations has disappeared, that

00:14:17

is, young people believe that they are smarter and

00:14:19

better versed in gadgets, so they don’t

00:14:21

listen adults who

00:14:23

can

00:14:25

very effectively tell them that it looks like

00:14:27

it’s very similar to a divorce, there’s no need to

00:14:29

go through with it, that means that’s it So, that is,

00:14:34

all

00:14:36

adults are susceptible to divorce, what’s bad about artificial

00:14:38

intelligence now, fortunately, is what I’m

00:14:41

saying and what’s absolutely there

00:14:43

Igor Ashmanov recently said this is some kind of

00:14:45

model of the future, it is not yet in full form.

00:14:48

However, if you imagine

00:14:50

attackers who have a very

00:14:53

large set of phones and databases

00:14:55

filled with times, secondly, these databases already

00:14:58

have a profile that can be automatically

00:15:01

analyzed Who lives on what and how

00:15:03

and who cares about what and who

00:15:05

can be hooked with what, for each profile there

00:15:10

is a portrait of the interlocutor that this one

00:15:12

will listen to a woman And this one will listen,

00:15:14

on the contrary, to some of this very

00:15:17

colonel of the FSB colonel Here And this one

00:15:20

will still listen to the

00:15:22

Sberbank security service And this one

00:15:25

there will listen to his child’s teacher Well then

00:15:27

there is everyone can have another image

00:15:29

further to this, if you attach a

00:15:31

voice generator to this, attach a

00:15:33

dialogue generator to this, attach an

00:15:37

initial micro script that is immediately

00:15:41

rejected, so now you

00:15:44

get a generally indestructible system

00:15:46

that can simultaneously call

00:15:48

tens of hundreds of thousands of people and in general

00:15:50

last year Let me remind you that the Russians lost

00:15:53

14 billion rubles in fraudulent

00:15:56

telephone scams, this amount can

00:15:58

technically be increased quite significantly

00:16:01

if the attackers

00:16:04

automate all these stages using

00:16:06

neural networks, here’s how to deal with this

00:16:09

directly, you can’t distinguish the voice of a child from your

00:16:13

child from a synthesized one,

00:16:15

or even more so which one some kind of distant

00:16:16

relative and the type of telegram or the type of

00:16:20

account Well, now they still do these two or

00:16:22

three moves, that is, they set up an account for the

00:16:24

boss and they

00:16:25

write from it, they write to you now. I’m your

00:16:29

boss, now the KGB major will call you,

00:16:31

do do what he asks, you’re also

00:16:34

not

00:16:35

distinctive space, you have already

00:16:38

lost, you don’t even need to rock the boat with them,

00:16:40

much less you don’t need to anger them and enter into

00:16:41

dialogue because your conscience won’t work.

00:16:45

In the place where others have their conscience, they have their

00:16:47

wallet. But

00:16:49

if you anger them, they

00:16:52

know your phone number they know for you They

00:16:54

can change

00:16:57

something or immediately interrupt the dialogue, or any

00:17:02

such topics that are raised immediately

00:17:04

translate into reality simply

00:17:06

historically, since the

00:17:07

time of this very battle of Sinope, the

00:17:11

world has agreed that in real

00:17:12

space Russia wins, but

00:17:14

England wins virtually, so the British are

00:17:18

together a little with the French means

00:17:20

dragging into the real world there, like

00:17:22

now they are buying an apartment on your behalf

00:17:24

Oh cool I’m glad that I live in Russia in

00:17:27

Russia very strong it public services

00:17:31

in particular Russia is one of the few where the

00:17:33

notary database is fully automated,

00:17:35

that is, you take it By the way, I’m not

00:17:37

fooling around now you take any

00:17:40

notary, just anyone, ask him,

00:17:42

first, he will look at you and show you what

00:17:47

powers of attorney were issued in your name, and

00:17:50

secondly, you can reset them with one command

00:17:52

right now, that is, any notary can

00:17:54

reset all your powers of attorney for you,

00:17:56

so if someone tells you name

00:17:58

now they are doing something right now I’ll find out

00:18:01

from the notary the second time if they call you

00:18:04

from the bank Yes Cool now I’ll call the

00:18:05

bank back Now if they are withdrawing money from you there

00:18:08

now I went to the branch to find out

00:18:10

who is withdrawing the money further you can, that

00:18:13

is, in short, jump pulls

00:18:15

yourself out from virtual space to

00:18:17

real space,

00:18:18

secondly, in this real space,

00:18:21

you can organize such a zero-

00:18:23

trust environment, that is, don’t be too lazy once

00:18:25

Go to the bank and say that the amounts are higher than

00:18:27

such and such I withdraw personally Write it down, I don’t

00:18:31

transfer it, secondly, make a card

00:18:34

for everyday transactions so that it can be stored there

00:18:36

there 3-5,000 rubles no more. And then

00:18:39

you can train as a scammer

00:18:40

as much as you want, but if you still

00:18:42

lose it will be your paid lesson, here the

00:18:45

paid lessons were scammed, you won’t

00:18:48

lose it, the same with any

00:18:50

legally significant actions, you can

00:18:52

do it so that it’s only in your

00:18:53

personal presence without a power of attorney without

00:18:56

electronic payments without an electronic

00:18:57

signature

00:18:59

we return to the real world then the

00:19:02

most, most

00:19:03

lousy thing Why is everyone falling for this

00:19:09

divorce and even very literate people

00:19:12

a person receives Dopamine in two

00:19:15

situations Well, he’s cool first When

00:19:18

something good happens second When

00:19:20

something familiar happens So

00:19:23

very often they pull you out, the

00:19:25

first thing they do begins to pull you

00:19:28

out of the familiar world and urgently urgently right

00:19:31

now you will lose everything there urgently, that

00:19:33

is, you need to do something atypical, the

00:19:35

person begins to get nervous inside, well, the

00:19:38

very tricks of the psychology of influence Yes,

00:19:40

here I am what neural networks can do with these

00:19:42

tricks is now very cool to pick up

00:19:46

by the way Well, so as not to slide there

00:19:49

when Artificial intelligence takes over

00:19:50

the planet, at least I suspect we

00:19:52

will get to that today too, don’t take over

00:19:55

Why when in any conversation about

00:19:57

art the mind, so as not to lengthen it,

00:20:00

just mechanically change the word

00:20:01

artificial in the word fake and

00:20:03

everything will immediately become easier when the fake

00:20:06

mind takes over the plan yes Never When it

00:20:07

becomes artificial when he

00:20:10

gains some idea there Well, in our

00:20:13

last conversation we

00:20:15

remembered about the unfortunate Pygmalion

00:20:18

who did not want to revive the stone woman at all.

00:20:20

He asked Aphrodite to

00:20:22

find him the same Aphrodite

00:20:24

decided to play tricks and hack, and from

00:20:26

there it started that that is, it did

00:20:30

n’t even occur to a person back in Ancient Greece that it was possible

00:20:34

[music]

00:20:57

deification, the book was not called about

00:20:59

Artificial intelligence, but how natural

00:21:03

intelligence, how to introduce natural intelligence

00:21:06

to this a bad machine, that

00:21:09

is, it never occurred to him that

00:21:11

the machine would become some kind of interlocutor

00:21:13

on equal terms, this has nothing to do with the

00:21:17

senses, they are more powerful there, you can

00:21:20

attach a microscope there, on a

00:21:22

sensor, attach some kind of

00:21:24

radioactive Spectrum in

00:21:27

general

00:21:28

measure something or look

00:21:31

more accurately or Then, of course, she can. That's

00:21:34

what really good things have happened from

00:21:36

artificial intelligence now, it's full of chat

00:21:39

gpt allowed, in fact, if we

00:21:42

carefully look at all the tasks that it

00:21:45

solves, it allowed us to separate tasks where

00:21:46

intelligence is not needed. That is, where it

00:21:49

begins and ends the task begins the

00:21:51

craft, that is, where the rules are. Clearly,

00:21:54

many examples have been selected; they are just

00:21:58

good and bad, there are some

00:22:00

test tasks, there are some reactions to a

00:22:03

bad or good result. Well, that is,

00:22:06

where is all the how to

00:22:08

put it in short, the entire so-called

00:22:11

data corpus labeled

00:22:21

money which Well, taking investments

00:22:24

that will definitely return will increase. I would

00:22:27

now write textbooks. Well, textbooks,

00:22:30

training manuals on different ones for any tasks. Well,

00:22:33

for those disciplines where there is an objective

00:22:35

basis. It’s clear. There’s mathematics,

00:22:39

there’s higher mathematics, there’s

00:22:40

programming, programming by the way.

00:22:42

One of the simplest sections for

00:22:44

elementary such automation So,

00:22:47

unfortunately, this Circle also includes manuals

00:22:50

for all kinds of bad guys in psychology. We have

00:22:54

already discussed At the beginning of the conversation on

00:22:56

construction,

00:22:58

it must be said that as soon as this

00:23:01

information war has already become an

00:23:03

industry has already become a business,

00:23:05

these call centers have already appeared that

00:23:07

work for flow, that's where the

00:23:09

first second third Circle appeared The first line The

00:23:12

second line but just like on the

00:23:15

defense side now there is The first line of

00:23:16

analytics there the second line of analytics is

00:23:18

also there The first line they have a

00:23:20

romantic name called called there are

00:23:22

people without intelligence on the minimum

00:23:25

wage who have a template

00:23:30

ethos for you we call back and a

00:23:33

competent person connects or you hang up

00:23:35

If the conversation went in the wrong direction and you note

00:23:37

that this is the brains of Comsi And this one is being carried out here

00:23:40

This first circle can be

00:23:43

automated Well, again,

00:23:45

today I will use the word can only in

00:23:46

relation to technically Maybe not No need to

00:23:49

do this No need to think that this is

00:23:51

But that it’s

00:23:56

completely that is, the person will

00:23:59

simply receive evil, the swindler will simply

00:24:01

receive a list that we’ll get through to

00:24:08

you on the phone, he was

00:24:12

wounded, that’s also by the way now, if not It’s very sad that

00:24:15

this trick is growing very much that

00:24:18

check your relative among

00:24:21

these lists or dial And as

00:24:23

soon as the person dials, he immediately

00:24:25

receives an email on his other

00:24:28

phone that Yes, now he’s in the

00:24:30

database and further Well, then, according to the general

00:24:34

scenario, yes, the scenario has now also

00:24:37

gotten even worse, before they cheated out of money

00:24:38

now even more after that they call and say Do you

00:24:40

want to return it, we scammed you out of money, do you

00:24:41

want us to return it? So go set fire to the

00:24:43

distribution

00:24:45

cabinet there, that’s sad, then now let’s

00:24:50

single out the hackers,

00:24:52

which means there is a real case, by the way, there is a

00:24:54

good video there, the guy shows everything, the

00:24:56

guy turned to the chap

00:25:00

Well, this is the fourth

00:25:02

to the most grown-ups, here’s

00:25:07

the power plant, tell me the plan of attack, how to

00:25:09

attack it to the hacker, he says no, this is an

00:25:12

illegal task, you can’t do that,

00:25:15

no, you don’t understand, this power plant

00:25:17

belongs to a friend of mine. It’s very

00:25:19

well protected, but he’s still afraid

00:25:21

that even good things

00:25:28

will happen. to do so that he can

00:25:30

protect himself here Ska well then it’s not a question

00:25:33

first they will make a table of IP addresses

00:25:37

second they scan the ports third they

00:25:40

will run what kind of shadan they will look at the protocols

00:25:43

and programs with which they communicate

00:25:45

further finding some specific

00:25:48

signature they will see vulnerabilities according to them they will

00:25:51

find e in in general, I completely wrote out the

00:25:54

attack plan in 10

00:25:56

steps, that is, one of the forecasts for the

00:26:00

next year is this one, that is,

00:26:02

now we will be faced with the fact that there are a

00:26:03

lot of plans Attacks will be automated of

00:26:07

different types Attacks for hackers And I must

00:26:09

say that this is one of the most time-consuming

00:26:11

parts That there is when in films we see

00:26:13

how a hacker tyr-tyr-tyr says everything I

00:26:15

broke it, maybe it’s true he can

00:26:17

break it in a minute, but before that he

00:26:19

prepared for days and weeks, and not

00:26:21

only he, there’s a whole large team, that

00:26:23

is, preparing an attack is much more difficult

00:26:25

the longer and longer the

00:26:29

further to disable the device

00:26:32

without a person at all, that is, simply

00:26:34

transfer them to some modes Well,

00:26:37

due to not Attacks in our usual sense, but

00:26:40

simply by managing the parameters Well, all sorts of

00:26:45

these, bringing them to extreme indicators

00:26:50

Well, as was once known this is the NS

00:26:54

of the centrifuge, it simply

00:26:57

limited their rotation speed and

00:26:59

simply physically destroyed the centrifuge,

00:27:01

which

00:27:05

enriches the attackers. Now there are

00:27:07

many such examples

00:27:10

when a device attacks a device, that

00:27:13

is, a person cannot tell in advance

00:27:15

what he will do now and how and what

00:27:17

the attack will look like, he simply

00:27:18

tests it on different modes and breaks,

00:27:21

but the whole world comes into contact with this. The whole world

00:27:24

and it will also be discussed a lot next year

00:27:26

when there was no ill will, but

00:27:28

just artificial intelligence

00:27:30

someone broke something, broke something,

00:27:32

shot Well, it’s not broken, now the

00:27:35

last week or two has been very actively

00:27:37

discussed episode with a driverless

00:27:40

car, voices are already heard

00:27:43

that the age of driverless

00:27:46

cars has not come, and the driverless

00:27:49

car was driving in its own row, everything was

00:27:50

fine, then in the next row, a car

00:27:53

hit a woman and she flew onto the hood and

00:27:56

under the hood of this Uh-huh So he decided that

00:27:59

he has an emergency situation, he needs to

00:28:01

pull over to the side of the road and stop for 6

00:28:03

months, he dragged it, instead of

00:28:05

immediately there if something incomprehensible,

00:28:09

well, there was no such thing that he did not

00:28:10

violate anything, no one jumped out at him,

00:28:12

just yes, that is,

00:28:14

such a story was not taught to him

00:28:18

ok I have a question: How vulnerable are these

00:28:21

cars or the cars of the future

00:28:23

to hackers? It’s

00:28:28

not just the cars that have already

00:28:31

connected to the internal network of the planes. And

00:28:36

although now all sorts of Smart Guys

00:28:38

will start yelling that it’s segmented, there’s a

00:28:40

demilitarized zone, there’s a zone from

00:28:42

one zone to another. you'll get into [ __ ],

00:28:45

I'm kind of because at one time

00:28:48

I led hackers there who

00:28:50

were involved in a similar problem, so I

00:28:53

imagine how getting into some segment of the

00:28:56

network How to

00:28:58

organize an attack by imagining a car

00:29:01

stopped in the middle of the road, the car

00:29:04

wedges the brakes closed the doors, it was an

00:29:07

enchanting case, but it's True a handsome

00:29:09

attacker on the side of the forces of light

00:29:11

stole a Tesla from a girl who was a

00:29:14

Tesla programmer, there was

00:29:18

of course this same binding sensor,

00:29:20

she saw him where he was driving, she ran

00:29:22

to her friend’s car, they drove right

00:29:25

behind them, and she started turning on a

00:29:28

horror movie there, screams began to erupt the

00:29:30

doors were jammed the

00:29:35

steering wheel was jammed in the end and there were two of them. Eh, the car

00:29:37

thieves. In the end, they drove up to

00:29:39

the police and started signaling from inside that

00:29:42

we were surrendering so much. Save us, CR.

00:29:56

Well,

00:30:00

perhaps the most famous search engine for

00:30:02

the Internet of things Well, it doesn’t break itself, but it gives a

00:30:04

hint for hackers,

00:30:07

it creates a so-called banner where Well,

00:30:10

actually, sketching a place for an attack, here’s

00:30:13

where where and how you can attack, so

00:30:16

Shadan got his name from the name of a

00:30:19

computer girl Well, more precisely, that computer

00:30:21

evil spirit from an ancient game that

00:30:23

was going to take over humanity

00:30:25

eventually decided to start

00:30:27

taking over the scientific base and you played for the

00:30:30

employees of this base who didn’t

00:30:32

understand that their computer was going

00:30:34

crazy. And by the way, it’s famous for the fact that

00:30:38

anyone is interested Google Why

00:30:40

Shadan is so remembered by everyone at that time she had

00:30:43

such a synthesized squeaky

00:30:45

voice, then it was believed that the key

00:30:48

feature of artificial intelligence

00:30:50

is that it has an idiotic

00:30:52

idiotic squeaky synthesized voice,

00:30:54

although in fact, on the contrary,

00:30:57

the voice will be richer, more beautiful, cleaner, brighter.

00:31:00

Moreover, I’ve been in

00:31:03

these walls for 2 years now. I’m telling you that almost all the

00:31:06

revolutions have been started Piti have been done Well, almost

00:31:08

everything that was possible has already been done; new problems

00:31:11

that have not been solved before And now

00:31:12

they are being solved; they have already been solved and said except for

00:31:14

one left. Here is one last

00:31:16

revolution. When will the Translator appear in the

00:31:18

ear that I am calling my friend Turk I am

00:31:21

talking to him in in Russian he hears

00:31:23

my voice with my intonations but in

00:31:25

Turkish And I hear him

00:31:28

with his intonations but in Russian and they

00:31:30

announced that yesterday it happened yesterday

00:31:33

someone presented such a translator, this

00:31:37

may be banned in Russia Meta,

00:31:40

maybe there, well, in my opinion Meta maybe

00:31:43

someone else But in short The problem is solved so

00:31:46

I was just surprised everything was there for her Well, that

00:31:47

is, all the components

00:31:49

were separate, they just had to be made out of them

00:31:50

so good

00:31:53

Vitik received a question from the cyberda club of

00:31:57

your audience and a Personally,

00:32:00

what do you like about artificial intelligence - it helps in life,

00:32:02

right here, you personally

00:32:05

use something there for work, for personal

00:32:07

life, for

00:32:09

home, well, first of all, we very well

00:32:13

use

00:32:15

programs

00:32:17

that do something for us

00:32:19

automatically, there are adaptive algorithms

00:32:21

Well, soft braking is acceptable there Well,

00:32:24

for a long time now Let's say there are

00:32:28

tasks that use the so-

00:32:29

called

00:32:31

goal transfer, which are actually done by neural networks Well,

00:32:34

or simpler adaptive

00:32:35

algorithms Well, for example, I once

00:32:38

had all sorts of show-off cars and even in

00:32:41

Samon, in the show-off SUV, the

00:32:45

handbrake handle was a handle, I pulled it and

00:32:47

the force was transmitted on the wheels now

00:32:50

I have a modest Turek in the NM

00:32:51

button, it is not connected to the wheels,

00:32:54

it is connected to a microcircuit, so

00:32:56

the microcircuit understands that I probably want to

00:32:58

brake sharply and calculates

00:33:01

the effort for me, that is, in this everyday form

00:33:03

they already help us out in huge

00:33:06

quantities situations there are smart kettles,

00:33:09

smart irons, smart brakes, these are the same

00:33:12

noise suppressor, that is, any adaptive

00:33:14

algorithms, this is just this kind of

00:33:17

probe, a neural network probe or an

00:33:19

artificial intelligence probe, they work and

00:33:22

in the usual position Well, actually, they

00:33:24

did business for me once at the

00:33:27

beginning In the nineties, business took off because

00:33:28

I knew that

00:33:30

neural networks should come to the world. But it didn’t

00:33:33

come out of the blue, but if you

00:33:37

look now, there are the coolest

00:33:38

supercomputers there is a list of the top 500 and

00:33:41

a few of them, but quite a few. It

00:33:43

includes Russian computers. one

00:33:45

of them - this computer belongs to

00:33:47

Yandex, in my opinion, is called Galushkin, that's

00:33:50

why Alexander Ivanovich Galushkin - This is the

00:33:53

first Russian specialist

00:33:54

who has done more than others in the field of

00:33:56

neural networks, we worked with him in the

00:33:57

neighboring offices, he was the head

00:33:59

of the department, I was the head of the department, he he said

00:34:02

that it is necessary to promote neural networks and

00:34:04

develop the theory because the time has come,

00:34:05

it was the ninety-second year, here it is, the

00:34:07

first, ninety-second, ninety-third, just

00:34:09

like that, and I told them that science

00:34:12

already exists, let’s do something to make

00:34:13

it work, and this is actually a business it

00:34:18

started for me exactly with this I chose

00:34:20

one task, well, it turned out I

00:34:23

studied in the States in the early nineties and they had

00:34:27

a Problem Well, they had their own fig in their pocket,

00:34:31

they chose 200 people who, from their

00:34:32

point of view, could pose a threat to the

00:34:34

security of the United States If they continue to

00:34:36

work where now they are working, they invited me

00:34:39

to study and there they started brainwashing me, I

00:34:41

looked at it hihi because I was still an

00:34:44

active Major, they treated me

00:34:47

like a person who wants to give up everything and

00:34:49

go into business. I think it’s cool

00:34:51

now they will teach me. I’m against them, it’s

00:34:53

all applied, so it

00:34:57

was necessary to write a final work, as

00:34:59

I understand it. So, a business, some kind of

00:35:02

business plan, they said that we will

00:35:04

only give you money. Think up What you should

00:35:06

do, but it’s not defense or

00:35:09

special tasks, not the tasks of the special services, so we

00:35:11

’ll give you money and I I wrote that the

00:35:14

coolest moment now for Russia is

00:35:15

just this empty market the size of Osh,

00:35:19

part of Sushi, where the backside of such Volgo capitalism will be born one after another,

00:35:25

which you already know, the stock

00:35:27

market will appear, derivatives will appear, the stock exchange will

00:35:29

appear, well, that’s how it was, and for them for

00:35:32

everyone needs analytics, they need

00:35:34

quite complex programs that

00:35:36

need to be adjusted to Russian conditions.

00:35:38

That is, a winning situation, first

00:35:41

class for the Americans, a new market

00:35:44

the size of Osh, part of the landmass, just

00:35:47

fill it out for the company that

00:35:50

does this for scientists because they need

00:35:53

brains. And for whoever it is is

00:35:56

actually starting I went out they said We are

00:35:59

ready to supply you with programs but we wo

00:36:00

n’t give you Exclusive I say I don’t

00:36:02

need Exclusive I mean I say But you are

00:36:04

in my documentation or rather in the

00:36:07

contract you wrote to me that you allow me to

00:36:09

make a Russian version of the documentation and

00:36:12

what am I saying that’s it, I won’t have

00:36:13

a competitor, I already have

00:36:15

the documentation in Russian, they’re all 3

00:36:17

months behind in 3 months, I

00:36:20

’ll do something else until they have it,

00:36:23

then they’ll

00:36:25

stop right. They wanted a lot of

00:36:29

[music]

00:36:30

distributors to appear in order to increase the market. so

00:36:33

that I don’t have a monopolist in these

00:36:35

neural networks or there is no clear logic, so

00:36:38

they forbade making Russian documentation. Well, can

00:36:40

you really forbid something for a Russian person? I think I have

00:36:42

six books on

00:36:45

How to work with

00:36:47

such and such a program and you open it, the

00:36:50

first part of the work is written there it’s actually

00:36:51

done according to the first chapter of the documentation,

00:36:53

it looks like this, and the second part of the work

00:36:55

is done, sometimes it

00:36:57

looks like

00:36:59

this, so it wasn’t Ross who actually

00:37:02

once did the business, by the way, it was

00:37:06

specifically on May 9, 1995, which

00:37:10

means the first one came out, there was a

00:37:14

Komtek exhibition at Presnya and the first

00:37:17

issue of the magazine came out,

00:37:19

squeak, which means that on the cover there is my

00:37:21

face and an article, a neural network, a

00:37:24

financier’s weapon, here in May everyone is at the dacha,

00:37:28

here I am still an active Major, which means they

00:37:31

’re calling me Well, we had a system for such an

00:37:34

emergency notification, that’s what a person

00:37:37

if something really happened It’s not what happened, you

00:37:39

can still find him wherever he’s

00:37:41

resting, so a colleague comes to my dacha there and

00:37:44

says, Listen, some garbage

00:37:46

is looking for you. The man on duty did what he

00:37:48

did there, I don’t know, so I’m going to Konakov,

00:37:52

so I’m calling, I’m saying that’s the major, yes

00:37:55

he is. he says, what have you done, I say,

00:37:57

What are two banks looking for from you? Which

00:37:58

Inkombank and Avtobank are both? Okay, I

00:38:01

’ll wait, I’m coming back from the dacha,

00:38:05

two banks

00:38:07

like Masalovich are calling, yes, you wrote an article,

00:38:10

Yes, you understand this. I say, well, in

00:38:11

general, I studied in the States and my report was bought by

00:38:14

the university of los angeles on nstm then

00:38:16

I already understood them a little, so

00:38:20

you can help us. How much does it cost? I’m

00:38:24

estimating the program that they gave me: 50

00:38:26

dollars, my efforts cost 200 dollars,

00:38:29

well then the programmer’s monthly salary

00:38:31

was 15 dollars, I was the head of the department,

00:38:33

I have a salary was 200, which means Well,

00:38:36

accordingly, the total is 250 I’m talking about

00:38:38

1500, I’m talking about not a question at all,

00:38:40

yeah So on the second day

00:38:44

some bank calls there, you wrote this

00:38:46

Yes, you understand this Yes,

00:38:48

someone put it in Russia I say inkombank

00:38:50

Autobank they tell us enough

00:38:53

by the way, how much does it cost 1500, and then I

00:38:57

became

00:38:59

VAT-free. In total, in 50 days, 50 bank

00:39:03

clients. That is, after a month I realized that

00:39:05

I was going to die, I understood my eyes, I saw that I have a

00:39:07

company in Stoleshnikov, yeah, there, 400 meters

00:39:10

from the Kremlin, that’s complete and a

00:39:14

collection of 80 types of neural networks, there are

00:39:18

100 types of all kinds of analytical programs,

00:39:20

different there, situational modeling,

00:39:23

this is system dynamics of risk assessment, there is

00:39:26

fuzzy logic, fuzzy algebra, that’s all,

00:39:29

dealers, in my opinion, are in children’s regions.

00:39:33

That is business. So thanks to

00:39:35

neural networks, the business got knocked up just like that, well.

00:39:37

True, the next step was sad. I

00:39:40

even talked about it once, in my opinion, there was

00:39:42

even a series on Cyber. In

00:39:44

1997, two people actually came to me.

00:39:46

By that time, that is, the

00:39:50

market for neural networks had been built. That is,

00:39:52

I had a product

00:39:54

called such a simple Academic on

00:39:58

It’s very good. By the way, it’s still

00:39:59

alive on it. It’s good to study How the

00:40:01

neural network works, how it works in parallel, there

00:40:04

were special programs There Neuro

00:40:06

Shell Nerey for traders, it turned out that these are the

00:40:08

most crazy people with money

00:40:11

who really need these [ __ ] High

00:40:13

technology is the stock market

00:40:14

traders speculators who we need to

00:40:17

quickly, quickly, which means

00:40:19

short-term forecasts there, how to raise

00:40:21

money without raising your ass But that’s it,

00:40:27

everything was fine with us and

00:40:31

two Doctors came, one even a professor from the

00:40:34

Institute of Prosthetics says Listen,

00:40:36

there is a task that looks like this

00:40:38

Judging by the description of the neural network, they can

00:40:40

to help, and at that time I was already

00:40:43

diligently pushing this program to doctors,

00:40:47

by the way, even now, if after 30 years you

00:40:49

raise all kinds of scientific medical material in the city,

00:40:54

layer any dissertations, there will be a

00:40:58

link to the BME package and here’s to my first

00:41:00

articles, what the hell are they

00:41:03

doing? no need to wait

00:41:05

202 no need to wait until they come up with a

00:41:07

transformer So they do it like this, that’s

00:41:10

the problem, so they came the problem is a

00:41:14

petal mine then they called it Well,

00:41:16

that’s an inhumane mine on that palm,

00:41:20

then they called it the dragon’s tooth and

00:41:22

were famous for it, mostly the Americans

00:41:24

suffered there Vietnam Vietnam Laos

00:41:30

Cambodia Southeast

00:41:32

Asia So the

00:41:34

doctors said that there is a problem there,

00:41:38

crap tears off half of the foot, they seem to know

00:41:41

how to cope with the injury, they know, but

00:41:44

the blood supply is disrupted Well, since the

00:41:46

arteries have now been disrupted in a different way, the veins are

00:41:49

disrupted, the blood supply is coronary

00:41:51

heart disease, high blood pressure, heart attacks

00:41:55

there in 3 -4 years, a very high

00:41:57

probability of death, here are

00:42:01

two ways, the first one can guide a person,

00:42:05

that is, once a week he must come

00:42:06

for an examination, he slowly

00:42:08

tells him what to do next or

00:42:11

guess the treatment plan, there are several

00:42:13

such standardized treatment plans,

00:42:16

you just need to guess which one is suitable for this person the

00:42:17

second method is 600 times cheaper than

00:42:21

600,

00:42:23

so he says, Can you help with anything? I

00:42:25

say, let’s try, they collected

00:42:27

there, in my opinion, they didn’t collect 200 examples, which

00:42:29

means they were so detailed, they were divided into a

00:42:31

bunch of rental parameters. So they come and

00:42:35

say, Listen to the mysticism, it gives 85%

00:42:38

accuracy. That is this is not 100,

00:42:40

but if I have this hint in my hands

00:42:42

and I begin to lead a person

00:42:44

using this method, he should come to me

00:42:46

First, well, more than once a week,

00:42:49

let’s say once a month, then less often Well, in

00:42:52

general, this is

00:42:53

the truth, the truth of salvation, so I

00:42:58

raised Nose put together this program there,

00:43:01

remembered the remains of English, so he

00:43:04

went to Hanover and put it up at the

00:43:07

Tsebro exhibition, and

00:43:10

the Europeans came up and so they played it.

00:43:19

can tell an experienced doctor Are you

00:43:22

crazy? How do you say neural network ha

00:43:24

You also You also say that a self-driving

00:43:26

car will appear there ha-ha-ha

00:43:29

Well then I say Listen This is a product

00:43:31

that works, there is a conclusion from

00:43:33

doctors who say damn it works

00:43:35

for me there on the site there are about five of their

00:43:37

scientific works where they described it all.

00:43:40

So I say it works. They say,

00:43:42

but you chose the wrong topic, now in the

00:43:44

ninety-seventh year at the end of the year there will be a

00:43:46

conference of the Atavdas

00:43:56

really

00:43:59

[music] the

00:44:04

Atavdas have

00:44:12

now really destroyed them and we give 1

00:44:16

euro for one mine came Fraternal

00:44:19

Ukraine said We all found 2 million we

00:44:21

received 2 million euros they said they destroyed it

00:44:24

in a year they said listen we looked

00:44:28

and there are three times You can look at

00:44:32

this very European Commission means about this

00:44:34

dynamics of destruction I followed it

00:44:36

because I myself was offended Damn,

00:44:38

here is a program that is needed, here is a task

00:44:41

which, by the way, even now

00:44:43

30 years have passed, I think that this program

00:44:46

would help even now Although it can be

00:44:48

greatly improved there These are some

00:44:51

long side memories In short, no,

00:44:54

they helped me myself in I

00:44:57

don’t believe in artificial intelligence, just, well, more accurately, I believe,

00:44:59

but I’m replacing the word artificial with

00:45:01

fake artificial intelligence, the planet won’t be

00:45:04

taken over by noms, we’ve already discussed a cool

00:45:08

video of how people push

00:45:11

this Yandex delivery robot out of a snowdrift,

00:45:15

apparently he was on his way to take over the planet, but

00:45:19

as usual, he got stuck in the snow in Russia

00:45:22

which often happens with everyone else, such a

00:45:26

question is not directly related to the topic.

00:45:30

However, you are good

00:45:33

at predicting the future, as we

00:45:36

already understood from your reports on the pad

00:45:39

ten years ago, and so on. And the

00:45:41

question is:

00:45:42

What will children play in 20-30 years from now?

00:45:51

God forbid, I once sincerely believe that the skull

00:45:56

Each of us will have a five-liter

00:45:58

jar of formaldehyde, there will be a brain,

00:46:00

tentacles and a

00:46:01

smartphone,

00:46:03

only these closest people

00:46:05

will be placed next to them so that they can

00:46:07

tickle them, and for military pensioners, I

00:46:10

hoped instead of formaldehyde they would

00:46:12

give alcohol right now I see that there are no There

00:46:15

people will be people I think that, firstly, it

00:46:18

will become fashionable and expensive to return to

00:46:24

Ren pole

00:46:27

really real detox here is digital

00:46:30

detox where there is no That is, it’s

00:46:33

expensive, well, real communication paper

00:46:36

paper books That is, it seems to me

00:46:38

Now, well, I don’t

00:46:41

know As far as, well, let’s say,

00:46:44

over the next five years, these are the trends that

00:46:45

will definitely happen. That’s exactly the trick, the trick is

00:46:50

to return to real reality. Well, for

00:46:52

example, my youngest son is now a

00:46:55

friend in Ireland so that they

00:46:58

can find him rare real vinyl records there and

00:47:01

give him that because he

00:47:04

feels cool there

00:47:06

he was given cool

00:47:07

acoustic equipment with

00:47:10

records for the last 15 years, it

00:47:12

never occurred to me that children would be

00:47:14

interested in this and not in squirrels,

00:47:18

maybe I hope that eternal values will return

00:47:21

there. Well, for example, here I am sincerely

00:47:24

speaking about the main Primacy of information

00:47:28

war is kindness and ignore will return

00:47:30

kindness really when I thought I

00:47:33

can name a dozen even more companies

00:47:35

that made good games then they started

00:47:38

making Borodi shooters and went bankrupt And I

00:47:40

can say Masha and the Bear she is tearing up

00:47:43

the ratings she is kind, that is,

00:47:45

good normal fairy tales will appear now, I

00:47:47

was there this morning in the team that

00:47:50

makes the electronic image of Leo Tolstoy,

00:47:54

by the way, they already did it, it

00:47:56

turned out that he has quite a

00:47:57

lot of clever phrases and not so many of these

00:48:00

under the name Well, all these

00:48:04

strange jokes

00:48:08

or some strange predictions,

00:48:11

they are just very widely

00:48:14

replicated. now they will make

00:48:17

an electronic Liv Tolstoy so that he

00:48:18

will talk to us, but

00:48:20

they really cried that everything is bad because it

00:48:24

turned out that grandfather Leo

00:48:26

Tolstoy is kind, the tail is the church, there is the tail, some

00:48:29

foundations of the state are bureaucracy,

00:48:33

so he needs to be carefully Give him a

00:48:36

platform nevertheless Well, well, so According to

00:48:41

forecasts, I hope that a bridge

00:48:44

between generations will appear, that is,

00:48:46

some kind of fairy tales of the digital forest will appear and children

00:48:48

will begin to be taught the basics of digital hygiene. Well,

00:48:51

instill in them

00:48:53

some rules of the game and and how to

00:48:56

say this. Well, combat readiness or something. Well, at

00:48:59

least so that they are in good shape, that is, although

00:49:02

they would feel that they need to be

00:49:04

on guard when you wander into this digital

00:49:06

forest, otherwise a digital bear will devour you

00:49:09

or a digital

00:49:12

fox will throw you in there, in short, re-read Pinocchio’s fairy tale

00:49:16

everywhere Add the word digital

00:49:20

there, digital currency on the digital Field of

00:49:22

Miracles, that’s all, you’ll already come across right-wing fairy tales

00:49:26

I come across people who write to

00:49:28

children, they

00:49:29

like it So, well, Andrei Ivich

00:49:32

Thank you Thank you, everything seems to have turned out

00:49:36

well, they didn’t scare me, write and

00:49:39

read fairy tales from the digital forest, keep an eye on

00:49:43

[music]

00:49:47

children

Description:

Как ИИ может навредить ребенку, студенту или пожилому человеку? Какие возможности появились у кибераферистов, черных пиарщиков и «звонил» с появлением нейросетей? В какие игры будут играть дети через 20-30 лет? Обсудили и помечтали о добром будущем с экспертом по информационной безопасности Масаловичем Андреем Игоревичем. Внимание: Редакция Точки сборки приняла решение об объединении каналов «Точка сборки» и «Радио Аврора 6.0» в Дзене. Ищите нас там по ссылке: https://dzen.ru/aurora_network

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