(Transcribed by TurboScribe. Go Unlimited to remove this message.)

Welcome to the AI segment on Business Today. My name is Joel Thiago. I'm the CEO of Iceword, and we are gonna have this segment every week on Mondays.

AI is currently evolving and it is growing. AI is not coming, AI is already here. You are currently using artificial intelligence in many things.

You are using it when you try to use the map, when you try to Google something. You're already using artificial intelligence and it's always good to know, to be informed about it so that you can know how to dominate the tools and also know how to use it for your business, how to use it for your personal advantage. So we are going to start with what is AI, but before I want you to know a bit of the history of artificial intelligence.

Where did it start? If you remember the war between Hitler and the whole world, or Germany in this case, fighting with the others, what happened is that we had the Enigma. So the Enigma was a machine that helped them win the war and the West was trying to find a solution so they brought out the digital computer through Turing and we know that Turing did a good job. That was 1950, but he also had a question and the question was, can machines think like human beings? So that was the question of Turing and after the test, he found out that that was true.

There's a bigger possibility for a machine to think like a human being. So that's where AI actually started. It sparked from that thought and the test was made and they could see that the results were kind of the same.

That's why in 1960s and 65, different people, different researchers continued researching about artificial intelligence and continued to find a way to feed or to train the machine or to craft the machine so that it can be able to think like human beings. So what is artificial intelligence then? So artificial intelligence is a subset of computer science which most people call it an intelligent software which moves or grows or learns by experience and with data and this type of software can do things that normal human beings will do, like tasks that normal human beings will do. That's why AI is a technology that simulates, it simulates human thinking, it simulates human intelligence and it can make or it can do tasks or execute tasks that normal humans could do but the difference between AI and normal software or traditional software is that traditional software usually they don't learn from patterns because they are logical, they are built with logic and so what was programmed is what it will be able to give you as an output or as a result.

But AI is different. AI can learn from millions of data including the type of data that you are feeding it at the moment, it can learn with it. It is not rule-based, it's also, let me say it gets smarter by the day so if you place something today on an AI system, tomorrow it will be able to remember whatsoever you have placed there and it's also going to outsmart all the information that was there.

That's why it is trained first but it's also trained to make decisions and to work autonomously. Then the traditional softwares, they depend on the inputs that you've given it before and also it cannot adapt to new inputs. So what happens is you give it an input and it will give you the result that was programmed.

While artificial intelligence systems, they improve meaning the more input you give it, the more they improve. So the different types of artificial intelligence, narrow AI which, these are artificial intelligence that focus on one task, they don't do many tasks, they just focus on one and they win. For example, the chess, we've seen that AI was trained on chess and it could win chess masters and we are talking about the AI that was built by IBM and many more started coming and GPTs also started improving in ways that they could win chess but we are moving or we moved from narrow AI to generative AI which is the AI that is able to do more than just one task.

It can do more tasks like generate content, generate images, codes, audio and it can also follow instructions that you give it in plain language, in plain English. You do not need to code something for it to be able to understand. It can understand in English or in Portuguese or in Oshombo, in whatever language that you speak and it can also give you an output in the language that you desire.

So these things are seen with cloud, for example, we see them with Chachipiti, we see them with Gemini, Grok and in Namibia, we see them with MyResearcher. Now, the next phase of AI, it's general AI which is where everyone wants to get. You hear people speaking about AGI, you hear people speaking about artificial super intelligence.

All of these are general AI. So it's AI that will be able to work exactly like humans. It will be able to do big decisions by itself.

It will be able to be fully autonomous but it's just a theory. So for now, we do not have artificial intelligence to that level yet. We are still on general AI where the human in the loop is still necessary.

So a human is still needed in the loop but with general AI, that won't be the case. It will be able to do everything by itself on its own. So AI is bringing a lot of innovations.

AI is bringing a lot of solutions. AI is also helping different kinds of businesses starting from education, going to different sectors like mining, even when we speak about politics, AI is also helping politics. It's helping almost all the sectors in the world to grow through the contents that it's being able to generate, through the images that it's being able to generate, videos, codes, especially when it comes to software.

Because one thing people need to understand is that everything is in the digital world, almost everything is codes. It's just that these codes are in different stages and in different levels. We have assembly level, then we have operating systems and then normal languages that people use like C, JavaScript or Java.

And then we have frameworks that came with Flutter, React Native. So those are just levels, but all of them are codes. And then these codes are the ones that were used to create things like images.

Your image, the picture that you see, that's a code or those are codes. The videos that you see, even now that you're watching me, these are codes that are being transmitted from one place to another. And documents, those are codes.

So since they are codes, they are generated by artificial intelligence. And since they are generated by artificial intelligence, it means that everything became faster. Now, in the beginning, humans were the ones creating all these codes.

Humans were the ones building all these things. But right now, we have AI that is able to do this for us. So let's see some things like, for example, your WhatsApp.

You understand? When you use your WhatsApp, the spams that you get filtered. For example, if you try to send a message on Instagram and you send it to someone and that message or that comment is insultive, you know that that comment is not going to go. Why? Because AI filtered it.

You know, when you use Google Maps, when you use, when you're writing in your phone, that auto-complete, when you try to go on YouTube, the recommendations that you get, when you try to do a fraud or when someone is trying to do a fraudulent activity in your bank app, you know, weather forecasts, all of that is artificial intelligence. So AI is here and it's here to stay. And the more you get to learn about it, the better for you.

So what are the advantages and what are the disadvantages of artificial intelligence? First of all, artificial intelligence brings access to scale, meaning it gives access to all, including the person who is in Rundu today is able to get access to certain knowledge that he would have not received if he didn't have access to artificial intelligence. Then cost of things also go down because of artificial intelligence, but there are also biases into this. AI can be biased in the sense that it can be trained for the USA instead of being trained for Africa, for example.

And AI can also give us speed, but the problem is it can also divide us, meaning be good for setting a group while the others are disadvantaged. And we also have the problem of people who are in rural areas that are not able to get to artificial intelligence because of the resources. But AI is also good for them because it can get them information that they could not get if AI was not available.

And we also have economic age. Someone who is in Namibia can actually do great work for someone in Europe because he has the help of artificial intelligence on the loop. So the other bad thing about AI is privacy.

AI, most of the things that you put inside your AI system are used to train the same artificial intelligence. So that kind of privacy is very important because most of the times you don't want your information to be shared, but as long as you're using AI, most of them will use your information to train their models. And people also get over-reliance, meaning they rely too much on AI instead of learning, instead of studying, instead of broadening their capacity, they rely on artificial intelligence.

And some of them is job replacement. AI can also replace some people's jobs, but what you can do as a human being is to learn to use artificial intelligence so that it augments your work. So instead of making you obsolete in the market, you will be more powerful because you have AI to train your job or to help you become more efficient in what you do.

So there are some presentations that would be wonderful to show you for you to be able to see all these things that I'm talking in reality. We are going to have more programs or more episodes where you are going to see more examples on how AI is changing different sectors and how it can help different sectors. It doesn't matter which one you are, if it's education or which sector you are in, but next one we are going to focus on education, how AI is changing education and how it can help you with your academics and how it can also help Namibia or Africa or the world at large in education.

Thank you so much and let's stay tuned to Business Today for more AI-focused programs. Thank you.

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