The Real! ChatGPT: Creator or Terminator?

For decades,

we have discussed the many outcomes,

regarding artificial intelligence.

Could our world be dominated?

Could our independence and autonomy be stripped from us,

or are we able to control what we have created?

Could we use artificial intelligence to benefit our society?

Just how thin is the line between the development

of civilization and chaos?

To understand what artificial intelligence is,

one must understand that it can take many different forms.

Think of it as a web of ideas,

slowly expanding as new ways of utilizing computers

are explored.

As technology develops,

so do the capabilities of self-learning software.

- The need to diagnose disease quickly

and effectively has prompted many university medical centers

to develop intelligent programs that simulate the work

of doctors and laboratory technicians.

- AI is quickly integrating with our way of life.

So, much so that development of AI programs has in itself,

become a business opportunity.

In our modern age,

we are powered by technology

and softwares are transcending its virtual existence,

finding applications in various fields,

such as customer support to content creation,

computer-aided design,

otherwise known as CAD, is one of the many uses of AI.

By analyzing particular variables,

computers are now able to assist in the modification

and creation of designs for hardware and architecture.

The prime use of any AI is for optimizing processes

that were considered tedious before.

In many ways, AI has been hugely beneficial

for technological development thanks to its sheer speed.

However, AI only benefits

those to whom the programs are distributed.

Artificial intelligence

is picking through your rubbish.

This robot uses it to sort through plastics for recycling

and it can be retrained

to prioritize whatever's more marketable.

So, AI can clearly be incredibly useful,

but there are deep concerns about

how quickly it is developing and where it could go next.

- The aim is to make them as capable as humans

and deploy them in the service sector.

The engineers in this research

and development lab are working

to take these humanoid robots to the next level

where they can not only speak and move,

but they can think and feel and act

and even make decisions for themselves.

And that daily data stream

is being fed into an ever expanding workforce,

dedicated to developing artificial intelligence.

Those who have studied abroad

are being encouraged to return to the motherland.

Libo Yang came back

and started a tech enterprise in his hometown.

- China's market is indeed the most open

and active market in the world for AI.

It is also where there are the most application scenarios.

- So, AI is generally a broad term that we apply

to a number of techniques.

And in this particular case,

what we're actually looking at was elements of AI,

machine learning and deep learning.

So, in this particular case,

we've been unfortunately in a situation

in this race against time to create new antibiotics,

the threat is actually quite real

and it would be a global problem.

We desperately needed to harness new technologies

in an attempt to fight it,

we're looking at drugs

which could potentially fight E. coli,

a very dangerous bacteria.

- So, what is it that the AI is doing

that humans can't do very simply?

- So, the AI can look for patterns

that we wouldn't be able to mind for with a human eye,

simply within what I do as a radiologist,

I look for patterns of diseases in terms of shape,

contrast enhancement, heterogeneity.

But what the computer does,

it looks for patterns within the pixels.

These are things that you just can't see to the human eye.

There's so much more data embedded within these scans

that we use that we can't mine on a physical level.

So, the computers really help.

- Many believe the growth of AI

is dependent on global collaboration,

but access to the technology is limited in certain regions.

Global distribution is a long-term endeavor

and the more countries

and businesses that have access to the tech,

the more regulation the AI will require.

In fact, it is now not uncommon for businesses

to be entirely run by an artificial director.

On many occasions,

handing the helm of a company to an algorithm

can provide the best option on the basis of probability.

However, dependence and reliability on softwares

can be a great risk.

Without proper safeguards,

actions based on potentially incorrect predictions

can be a detriment to a business or operation.

Humans provide the critical thinking

and judgment which AI is not capable of matching.

- Well, this is the Accessibility Design Center

and it's where we try to bring together our engineers

and experts with the latest AI technology,

with people with disabilities,

because there's a real opportunity to firstly help people

with disabilities enjoy all the technology

we have in our pockets today.

And sometimes that's not very accessible,

but also build tools that can help them engage better

in the real world.

And that's thanks to the wonders of machine learning.

- I don't think we're like at the end of this paradigm yet.

We'll keep pushing these.

We'll add other modalities.

So, someday they'll do video, audio images,

text altogether and they'll get like much smarter over time.

- AI, machine learning, all very sounds very complicated.

Just think about it as a toolkit

that's really good at sort of spotting patterns

and making predictions,

better than any computing could do before.

And that's why it's so useful

for things like understanding language and speech.

Another product which we are launching today

is called Project Relate.

And this is for people

who have non-standard speech patterns.

So, one of the people we work with

is maybe less than 10% of the time,

could be understood by people who don't know her,

using this tool that's over 90% of the time.

And you think about that transformation in somebody's life

and then you think about the fact there's 250 million people

with non-standard speech patterns around the world.

So, that's the ambition of this center

is to unite technology with people with disabilities

and try to help 'em engage more in the world.

- On the 30th November of 2022,

a revolutionary innovation emerged,

ChatGPT.

ChatGPT was created by OpenAI,

an AI research organization.

Its goal is to develop systems

which may benefit all aspects of society and communication.

Sam Altman stepped up as CEO of OpenAI

on its launch in 2015.

Altman dabbled in a multitude

of computing-based business ventures.

His rise to CEO was thanks to his many affiliations

and investments with computing and social media companies.

He began his journey by co-founding Loopt,

a social media service.

After selling the application,

Altman went on to bigger and riskier endeavors

from startup accelerator companies to security software.

OpenAI became hugely desirable,

thanks to the amount of revenue the company had generated

with over a billion dollars made

within its first year of release.

ChatGPT became an easily accessible software,

built on a large language model known as an LLM.

This program can conjure complex human-like responses

to the user's questions otherwise known as prompts.

In essence,

it is a program which learns the more it is used.

The new age therapeutic program

was developed on the GPT-3.5.

The architecture of this older model allowed systems

to understand and generate code

and natural languages at a remarkably advanced level

from analyzing syntax to nuances in writing.

ChatGPT took the world by storm,

due to the sophistication of the system.

As with many chatbot systems,

people have since found ways to manipulate

and confuse the software in order to test its limits.

The first computer was invented by Charles Babbage in 1822.

It was to be a rudimentary general purpose system.

In 1936, the system was developed upon by Alan Turing.

The automatic machine, as he called them,

was able to break enigma enciphered messages,

regarding enemy military operations,

during the Second World War.

Turing theorized his own type of computer,

the Turing Machine has coined by Alonzo Church,

after reading Turing's research paper.

It had become realized that soon prospect of computing

and engineering would merge seamlessly.