AI changed the World ?

The question of what artificial intelligence actually is is just incredibly challenging.

Artificial intelligence is not owned by anyone.

It's a highly inclusive term.

There are many divergent opinions regarding what it is and ought to be.

Artificial intelligence is the stuff of Hollywood dreams for some individuals.

Their aim is to create machines that possess the same level of capability as humans, if not greater capacity.

machines with the capacity to perform every task performed by a human.

And it's referred to as general artificial intelligence at times.

Some people—and I lean more toward that group—think that artificial intelligence is all about creating instruments, computers that are more adept at performing certain narrow jobs than humans.

For instance, devices that can identify anomalies in a cardiac scan or identify tumors on an X-ray are examples of such devices.

And those kinds of issues are the focus of the majority of artificial intelligence research.

However, as I say, it's a vast church that nobody owns.

It's definitely not mine.

You know, everyone who hears this will be a different person.

However, I must admit that the main focus of artificial intelligence is on increasing machine capabilities and making them capable of tasks that are currently exclusive to humans.

Although I detest using the word revolution to characterize these developments, I believe that in the previous several years, we have witnessed true breakthroughs in the sense of a significant increase in AI capability, and this occurred approximately 2020 before ChatGPT.

Everyone was aware of ChatGPT, but in 2020 or so, other AI systems were introduced that were noticeably superior to the ones that came before them.

And that truly caught researchers' interest in AI.

And then we realized, all right, this is a new game.

Regarding capability, we are in a different league.

And for that reason, I honestly believe that we entered a new period around 2020.

Undoubtedly, things have changed.

And everyone in my group is occupied with figuring out what these new technologies and AI systems are capable of, as well as trying to comprehend them—which is by no means a little task.

It is really difficult to comprehend why and how they are able to achieve the things that they can do.

However, I believe that we are...

Similar to the creation of the global web, this event will go down in scientific history as a turning point.

The time has come for general-purpose AI technologies to enter the mainstream.

And that is a novel concept.

It's occurring really quickly and we haven't been there before.

It took the internet around five or six years to truly become widely used before people on the clap of omnibus used it when it initially launched.

Furthermore, adoption of these all-purpose AI solutions has accelerated significantly throughout the past 12 months.

As a result, technological advancements over the past few decades have been occurring far more swiftly than we have been accustomed to.

Numerous technological advancements have occurred.

The emergence of cell phones about 2010, followed by a return to the global internet prior to that, and the desktop computer prior to that, and so forth.

However, it took years for them all to come to pass.

And this is all taking place in a matter of weeks or even months.

Thus, it will simply be integrated into everything.

And it already is, in some ways, but we're going to see a lot more integration of that technology into your web browser and Word processor.

In a year, I pretty confidently predict that you will be able to choose a paragraph in your Word document and have the option to summarize it, make it into beautiful English, make it understandable for an audience as young as 10 years old, make it English for a professional business audience, and so on.

Furthermore, nobody will even recognize that as AI.

However, it is unquestionably AI.

We have no idea how this generation will use it, let alone come up with new ideas.

They're going to come up with incredibly creative, brilliant, and, for us old fogies, unusual uses of this technology.

Once more, they will develop new companies and services that are currently beyond our current comprehension.

They will be able to use it in their professional lives.

They will become more productive as a result.

I believe it will eliminate a great deal of the tedious work for a great number of occupations, freeing them up to accomplish tasks that call for human intelligence, human insights, emotional insight, and other things.

That will allow them to have more time for their jobs.

People will discover ways to use it for leisure, and it will show up in countless computer games and other applications.

Thus, it will improve their world in a great deal of ways.

However, there are ways in which this technology can be abused and misused for every possible good use.

And it is so crucial that people are aware of this and approach using technology with caution.

One of the most crucial ones, in my opinion, was the one about data and being the unintentional source of personal information about yourself.

Thus, in any given place where individuals work with, comprehend, or process content, there are likely thousands or even millions of people whose jobs entail taking official documents, summarizing them, and compiling them into a single document. In London alone, this is likely the case for hundreds of thousands of people.

In the near future, this technology will have an impact on persons whose jobs involve summarizing or extracting the most important information from texts, as well as those who regularly create textual content and artwork.

In my opinion, positions that mostly demand following scripts—where your only real responsibility is to comprehend what people are saying—are particularly vulnerable when it comes to following scripts.

Additionally, call centers are one area in the UK where there is currently worry.

Additionally, call centers employ hundreds of thousands of workers in the United Kingdom.

Furthermore, although it hasn't happened yet, AI technology has the ability to automate many of those procedures.

It is fundamentally altering science.

The experimental sciences are all very busy exploring the possibilities presented by AI technologies.

And when you work in experimental science, you generate a lot of data. The Square Kilogram Array Telescope, for example, and other facilities like CERN generate enormous amounts of data.

AI provides an additional means of analyzing data, identifying trends, and maybe formulating theories regarding the data's underlying principles.

I must now admit that some scientists believe that this marks the approximate end of human civilization.

The notion that a machine—or perhaps something else entirely—is creating the theory instead of people is becoming more and more prevalent.

It's merely warning you that you will perish if you consume these crimson toad faeces.

However, it is unable to provide an explanation or develop a theory for your death.

Furthermore, some do not even consider that severe form of inductivism—as it is frequently called—to be scientific.

However, everyone is scrambling to figure out how they can use this.

Thus, it is genuinely altering science in all fields.

Assume for a moment that you are an astronomer attempting to determine the relative abundance of spiral and bar galaxies.

What then do you do?

If you expose your photos of the sky for an extended period of time, you will be able to capture images of a vast number of galaxies.

And twenty years ago, you would look over those images and determine how many spiral vs. bar galaxies were present.

How then can AI assist you with that?

With artificial intelligence, however, you can just show the program and say, "That's a spiral galaxy, that's a bar galaxy, that's a bar galaxy, off you go," instead of building a programme to recognize a spiral or a bar galaxy.

Furthermore, the software determines how to carry out that identification on its own.

And for that reason, machine learning technologies, such as neural networks, are quite proficient.

And that's just one example—a very basic example—of how the technologies may be applied in contemporary science. In fact, you can imagine precisely the same kinds of situations in biology, chemistry, and other branches of science wherever you go.

I'm incredibly motivated and intrigued by this topic.

And one of the reasons is that we now have access to things that, when I first started my job, seemed simply unthinkably far away.

You know, you can just conduct normal language conversations using our tools.

They didn't even exist ten years ago.

Nothing like the tools we have today existed even ten years ago, and things that were only pure philosophy and conjecture ten years ago, we can now just...

Artificial Intelligence is becoming a new science that we can actually experiment with.

In order to investigate the limitations of huge language models, we are redefining the field of artificial intelligence.

Do they actually comprehend humans, you know?

Do they even truly comprehend?

And these are now practical problems instead of philosophical ones.

It's actually possible for us to try things out and roll past sleeves, which is incredibly exciting.