Is It Bullshit to Learn Software Just Because ChatGPT Can Write Code?

In the 50s, famous mathematician Alan Turing “Can machines think?” ie “Can machines think?” He included the question in his article. Today, there are quite advanced artificial intelligence applications. ChatGPT, which makes people nervous, is one of them.

Every semester artificial intelligence The concept is quite misunderstood. This is due to the high expectations. Right now, people are commenting that “artificial intelligence will leave most people unemployed, including programmers”, “humanity will soon come to an end because of artificial intelligence”.

Come on, artificial intelligence that has been put forward from time to time their applications Let’s take a look and find the answer to this question. As a software trainer, my thoughts are as follows:

Between 1950 and 1980 there was symbolic artificial intelligence. Artificial intelligence experienced its golden age in this period.

One of the first artificial intelligence applications is undoubtedly the chess game that everyone plays. At that time, chess was played against the computer on the computer and the computer made a move against you. called artificial intelligence.

However, this was later realized that the computer playing chess against you It’s not artificial intelligence. The reason is quite understandable. The creators of the game actually coded each problem and move with functions. Each game move Coding with software language is not artificial intelligence.

Everyone was discouraged by the understanding of symbolic artificial intelligence between 1980 and 2000. In this period, there was not much focus on artificial intelligence issues.

In this period, artificial intelligence was also used due to the loss of hope and enthusiasm of people. lived through the winter we can say. Studies and developments were not encountered in this period.

However, with the popularity of the 1950-1980 period and the development of the cinema industry after the 80s, some popular films were shot. Terminator The movie is one of them.

The situation is quite different when we examine today. Projects developed after 2000 both disturbed and worried.

Today, artificial intelligence subdomains machine learning and deep learning concepts are developed day by day. This made the word autonomous the center of attention. so what is this “autonomous” word?

The word autonomous human mental activities can be defined as its application to electronic systems. Some breakthroughs made today;

  • Almost human-level image classification,
  • almost at human level voice recognition,
  • Transcribe audio in video at almost human level and
  • almost at human level answering questions asked high points have been reached.

Artificial intelligence may leave many professions, including software developers, unemployed, but it is not possible anytime soon.

HOMELESS AND UNemployed

Although artificial intelligence can perform almost human-level tasks, what it currently does is still at human level is not. For example ChatGPT, artificial intelligence reinforcement learning takes advantage of the subject. Judging by what it’s doing now, it’s actually inspired by human behavior.

For this reason, let’s pay attention to the structures we use. The preposition “like” can be explained as similar situations and the verb “inspired” can be explained as connoting because of something. Resembling and being inspired is currently the main topic of artificial intelligence. Well, currently developed Artificial intelligence systems are not smarter than the human brain.

Famous deep learning library creator François Chollet“Especially starting to talk about intelligence close to human level should not be taken too seriously.” says. I want you to know that this person we are talking about has contributed to the formation of many artificial intelligence models and developed the models.

Artificial intelligence models do not work like the human brain. There is no scientific evidence to contradict this.

Artificial intelligence to the human level close missions Just because it can do it doesn’t mean it works like a human brain. There is no scientific evidence for this in the studies conducted.

Have peace of mind. still in the world most intelligent being is human. The more a person develops himself, the more experienced he will be in the subject he has developed and the potential to find a job is quite high. I want you to know that it is humans who lay the foundations of artificial intelligence models.

The new and advanced GPT-4 artificial intelligence model offered by OpenAI is for specific areas.

gpt-4

Pretty much when we all use ChatGPT We were impressed and uneasy. In OpenAI you will have understood that more advanced and with paid version Released GPT-4.

Without a doubt, the GPT-4 model is better than previous models. However, the goal of creating GPT-4 is for a specific area. Particularly focused areas are song composition, text editing, movie script writing, academic paper creation, coding, and learning the user’s writing style. For example with the GPT-4 model you corresponded. After a certain correspondence, he will learn your writing style and will reply back to you with your style. Isn’t it surprising? So do we.

Those who develop artificial intelligence models still do not think that artificial intelligence will be better than humans. Also, learning software isn’t silly either.

artificial intelligence help child

Now let’s focus on the answer to our question. learn software now and for the next 50 years It’s never useless or silly. This is clearly stated by the engineers who created the artificial intelligence models.

It’s also good to know. artificial intelligence models, especially apps like ChatGPT they can both crash, cause security weakness and consume high energy.

In order for an artificial intelligence system to destroy software and other fields, it must first be being smarter than humans It should make more companies profit. Systems compared to humans today consist of servers the size of a stadium, yet they make a lot of mistakes and consume a lot of energy. Average in a code project also using GPT-3.5 version 35-40 errors While it does, the number of errors in GPT-4 is in the range of 5-15. also recently of the GPT-5 model talking about the future.

Every software developer is doomed to be unemployed if he does not adapt himself to new systems and technologies.

gpt-5

The biggest problem of the software developer is the industry. continually being self-developing. Today there is ChatGPT and GPT-4. Soon GPT-5 will be released and new artificial intelligence models will increase constantly.

If a software developer does not constantly improve himself, he will continue to develop technology. can’t keep up and face the problem of unemployment. As a software trainer, my advice is to constantly improve yourself.

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