5:59: Jak jsme připraveni na umělou inteligenci?

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The voters believe that this is a lack of accuracy,

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After a step, AI intensifies a debate

about ethical and philosophical trends of transformation

that we are going through.

What is the phase?

Where does it lead?

Are we ready for it?

It's Monday, the 17th of July.

Here is Jelenka Kabr-Helová and 5.59.

The right-wing podcast knows the right.

Pavel Kasík, a science-technical reporter, knows the right.

Hello, Pavel.

Hello.

Pavel, you know the right to develop smart intelligence.

We've been here together for two months.

In the podcast 5.59 we talked about Open AI.

It's a language model of chat GPT.

Since then, with this topic, we've had a lot of participants.

We mean new moves.

New ones come almost every week.

Every day, maybe.

What phase are we in now?

I always say that we're at the beginning.

And paradoxically, the fact that the services are coming

at such a huge pace,

I was surprised to see that it's almost

30 new AI services a day.

That means that in a week, it's probably 200.

So this pace shows me that we're really

at the beginning and that everyone is looking

at how to make it work,

how to compose it into a working process,

how to use the tools and we'll see that even more

with the fact that big companies like Open AI

or Google will be using those

tools, which are called API.

That means the way to compose the tools

into their own tools.

What we know from chat GPT,

is the help of the library, the API.

Anyone can compose and implement it

into their services.

And we're following that now.

Let's start with the practical size.

One angle that has been passed over the last month

is the practical ability to use

the language models.

In this case, it was mainly chat GPT from Kita.

What do we know now in what size and how

do companies use it?

I think that now, most of all,

single-player users use it.

Whether it's a subcontractor or a subcontractor,

in short, people who like to experiment,

even within the company or for their own needs,

they use chat GPT or some of the other

tools to improve their work every day.

One example that was given to me,

one programmer created a program

that wrote 3,000 emails,

and each email was written on a scale

of different conductors.

He made a marketing campaign for half an hour,

which would have been 100,000,

and he didn't even have to do

something like that as a subcontractor.

And he used to come to some higher system

to use it, for example, in marketing,

because it was one of those areas where I talked about

the fact that the scope of intelligence,

if I say so, can be quite large.

I think that companies don't usually

insert people.

Everyone is used to the fact that the text

is written by a person,

and everyone is used to the fact that when

you write a text, it looks like a template,

a tool, and so on.

Now it doesn't pay anymore.

The computer is able to create

the only meaningful,

reliable, changing,

humanly-looking text.

That's probably the biggest change

that has happened.

We don't know that.

I live with the writing,

I think that I write well,

and when I look at it,

it seems to me that I say,

well, this is

unrecognizable

from what a person writes.

I think that companies

often don't want to be

fooled by the fact that,

for example, this marketing campaign

created smart intelligence,

or all our

ads now write

AI, because it's short,

works according to templates,

and AI is much more

flexible.

I think that marketing,

or various supporting

professors who work with text,

will have a big problem.

Or I don't want to say just a problem.

In short, there will be a big transformation.

The studies that talk about

how it affects our work,

usually use the term

set-up automation.

Or there is a big potential for automation.

Well,

someone can say,

great, I will be more effective.

Someone will say, great, I will be threatened.

So it's a little bit military.

Did the marketing or

the establishment of smart intelligence

start? Will it start to threaten

human power?

It definitely happens in many

specific positions.

The fact that a specific person

is threatened

by a new system

that also uses

the method of healthy learning

is definitely happening.

It doesn't matter

what the current attack will be.

If it then leads to

more people,

there will be more places.

Because, in short,

there were no new possibilities

as it was, for example,

in the future of automobiles.

And I'm not afraid if it will be

really

a limit of speed,

how hard it is to drive

and that a large part

of people will not jump

on that wave, because

the change will be

very fast.

I think that these waves

will be around themselves.

There will be new opportunities

and at the same time for many people

it will be difficult, because

what was used for

will change very quickly

without any specific equipment.

I think that it is not mentioned

that actually work for a person

has only the function

that it is

in the middle of how to earn money

and how to fill the day.

But it is also something

that people enjoy or what

makes sense.

And one German graphic

was believed to have

a clear intelligence,

and now it is

more effective and

the results are even better

than before.

But it is not fun.

It is fun, creativity,

thinking,

and all this

specifically the journey

is a neural network that generates images

so it has taken everything

and it always does

its job

and now it is better than before

but it is said that it stopped

fun. And I think that it can

become a lot of people

basically all professors who

work with text or

with a computer, then in some

ways they will be equipped with this automation.

The transformation processes

that we are going through

are very strange.

You have already thought about it

if we will admit or not

that

the marketing campaign has written

intelligence

on how much it will create

the basis of our work

and there are other questions

are the same data

that we publish

the language models or

have intelligence

and the question can be avoided

sensitive data, how

user information

and data, the language models

through our inquiries

and it should not bother us

that the data is lost

I would like to divide it into two things.

One is

the people, their data

specific example

someone wants to take

a group of emails from the client

and pull out of them the most important

so we take the emails

copy them to the chat GPT

and give him the instructions

to pull out the most important

which the model is very well managed

but

at the moment the user

was allowed to break

some data

so he broke the rules

for keeping

the data

because what

the client sent him through the email

he discovered it on the other side

and when we read

the instructions for using the chat GPT

we see that it is an experimental tool

and we

actually give

the right to all the things

that we send there

so that the system can continue to learn

there is

a very elegant way

how to keep it

apart from using the services

that are provided to it

you will also use

the tools, you will also use

the same model, GPT4

GPTv4

but

it will be a complicated tool

that suggests that the data will not be used

to train something else

and I think that

as if

they would bring

their own

right to look at it

instead of using

the right department that we have

I would not like that

and that is exactly what a lot of people do now

that actually

the standard steps lie

because it will be useful to them

there was also a specific unique

date, it was a software mistake

on the side of the chat GPT

which means that people

could get to the chat

of other people

and that was a short mistake

on the side of some database components

it is already fixed

and it is such a good reminder

that actually when we send something online

we give up

full control

on what is going on

and I think that

precisely in that first phase, a lot of people do not solve it

and there are already, for example, examples

of people using the chat GPT

not necessarily because

they do not want to

underline them

but they do not want to

to give the data that is created

or some corporate secret

to someone

who should not get it

Well, we also have an example of one country

that the chat GPT ordered

and that is Italy

with what conclusion

and it is really similar that such decisions will be made

in the first Western countries

where the most famous internet chat

service of the chat GPT was blocked

Italy, for the protection of personal benefits

although it was ordered by the carriers

of this chat robot

OpenAI

to order the access

to the chat GPT

Italian data protection authority said

there were privacy concerns

relating to the model

which was created by US startup OpenAI

and is backed by Microsoft

The chat network shows

that a few weeks ago

users of the chat robot

used tens of millions of people

for their development

Microsoft invested billions

of dollars

The country's data protection watchdog said

it's opening an investigation against OpenAI

that's the company behind

the massively popular chat bot

due to data privacy concerns

after chat GPT experienced a data breach

involving user conversations

and payment information

Some of the questions are completely

in order

other questions

when we copy the chat

except for UDAI

we should be aware

that it can be published somewhere

and it doesn't pay only for chat GPT

it pays for any service

when we send something there

there are many services that

will play the role of PDF

which is a great service

when a person has a large number of PDFs

and then you can

talk to the robot

about the PDF

I like it, but I wouldn't send

anything other than

a doctor's appointment

or something like that

I don't have a problem sending

access to the right

or a member

who is available

I'll talk about it in the comments

with the chat bot

but I wouldn't send

any other things

or other things

that they don't want to get

to where they don't have

At the beginning of

the development

of these services

there may be

other questions

what the community should be

we see that it is a huge

openness

or it is a simple ban

as in Italy

where there is a space

for some regulation

there will be

and the authorities are willing

there is such a debate

what will start to regulate the nature

and not later

Most of the regulations

come late when

the regulation is correct

what could happen

European Union

would say relatively fast

or in 2019

the system started

to prepare

the regulation

of the system that uses

raw learning and smart intelligence

we will see

how it will look

I like

that it is trying

to eliminate

different steps

to fall into the ground

systems that have

big and small

support

with the recognition of

raw learning and smart intelligence

we probably understand

that there should be a different rule

than for chatbot

where people are formed

this particular thing

is a good idea

to eliminate obstacles

on the other hand

I think that

regulation

something that develops so fast

to come a little late

and we see it now

even if someone follows the debate

there will be a problem

to orient themselves

for example after a week

if I would go on a week

where there is no internet

then I would turn on the internet

and I will not believe

what happened

and then it comes out from

what is the reason

now

that AI has an intelligent experience

One of the reasons

where I think that the potential

is really big

is calling the voice

which means that you will

turn on the phone

and your friend will tell you

that he is in big trouble

he needs help

I do not know if he is on the police

he needs to pay the right

big money to approach him

listen to him for an hour

you can write

what you can see

write automatically

and the voice

can at least

turn on the phone

for two minutes

which is found somewhere on the internet

so you can

remember

if you can find the voice on the internet

even if you do not

there is a moment

1, 2, 3

you can set it

and this will work

the better

or the worse

the more accessible

and for the subordinates

it is a very simple way

how

what they know now

what they are doing now

they give you the next size of the voice

so I said to people

when someone asks you for help

for example via messenger

if you see

his photo

call him

and you will know if it is him

now when the person calls you

you do not have to

think that it is not him

but you should

call him

maybe he will not know

what is going on

subordinates

advice

try to contact

on the basis of something

what you know only in two people

that is something

that is most important on the internet

or for example

within the family of the house

you will know about

but you will not give it to the internet

so you will be able to trust

this is what the secret services do

what will happen next

you said that we are in the phase of

some rather complicated development

how do we orient ourselves

on what we have to pay attention

what will be the biggest challenge

in the next weeks, months, years

now it is really interesting

because we have not even brought

the opportunity from the list of fall

2022

and a new version of GPT4 has already come

through

and another version

Google

has started to generate

in the 5th version

and there are all realistic photos

are all free services at the moment

most of these services

start without a risk

and how nice

I will have some paid version

so that's a great question

because we also knew

from the beginning of the internet

now it goes much faster

also 90 years on the internet

everything is free

and then it started

to pay for some of these services

now the progress

is much faster

also it affects you

that it is relatively expensive

to produce the language model

and train the language model

that means

they need to finance something

OpenAI, which is the company

which is still not yet

so it actually

comes to the production of the GPT4

because it is also

getting a lot of data

that's what I would also like to know

that we are part of

training the next model

so people

how to share on the internet

just look at what I

called the GPT4

just look at it

I called it straight

or I called it to write for the president

and such things

so all this

affects

training the next version

of the model

which will be

even better

and if we can judge history

it will surprise us

how good it will be

now the most interesting thing

is that the language model

is connected

to other services

it is connected to the plugin

it is not yet available

but it will be

or of course

people will try to program it

using their own books

so it is called

Auto GPT

where the

model

will set the instruction for itself

then it will perform

and on the one hand

to give it the instruction

on the other hand

we will give it a goal

to achieve

if we compare it

instead of having a

Brigade

which we have achieved

and which we are

working on

and we have to sit on it

so that we do not do anything wrong

so we have now

tried a worker

who will admit

when he does not know

so he can ask me

and what is the main challenge

that is to set it

what will be the most important

it can be divided into

a philosophical area

which means

that I should

start to realize

what it means

to be people

what it means

that

something about which we thought

that we can do it by ourselves

that is

on the one hand a philosophical question

and on the other hand it will be very practical

because

we all do some things

advice and some things

we need to go down

or we are proud that we can do it

and now we find out

that something from that

can be very good

like a computer

maybe better than me

but it does not have to be better than me

but in it

and on the one hand a lot of people find

that a large part of their work

goes to automate

and we will have to deal with it

now

it is said that the more

you use

computer

the larger part of your work will go to automate

it is as simple as a pen

and suddenly we realized

that the computer does not have the creativity

or the possibility

to synthesize

from different sources

and then

to make some decisions

so it all

shows that it can be relatively good

but the computer

does not know how to

be responsible for its decisions

and that is the thing

that I would like to measure

I do not say

confidence or responsibility

but I think

in the past week

we had an ethical codex

Jirka Kubik, our principal

introduced it

and there he really expressed

the personal responsibility of the author

because the journalist

is one of the professors

who will be part of

the automation

and now it depends on

what we do with the journalist

and I think in the cases

that a member

is a completely responsible person

always

what is written in the article

a person has written to you

who is responsible for it

it does not mean

that the text

could not write the automatic

but we say that the text did not write the automatic

because

automation could not be responsible for it

and of course I hope

that you will

be able to reach the journalists

and they will look at

the web or the media

where they can trust

the authors, they can believe

that the author has the responsibility

and at the same time

we also said that we will use

these tools for our work

with the knowledge of

what are their limitations

what are their limits

and what are the benefits

I, for example, when I write a article

I usually

use various tools

to learn about a long

document or

to find other interesting examples

but every thing

depends on

the language model

that you can think of

without hesitation

and I as a journalist

or if you give me the right

then your right

will be that hand

and he

will help

himself

to use

various tools

so he believes and does not give

you something that is

thought out

Pavel Kasik, a technical

reporter with us in Prav. Pavel, thank you.

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