From a software instructor’s perspective, is it pointless to learn software just because ChatGPT can code?
April 7, 2023
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Every semester artificial intelligence The concept is quite misunderstood. This is due to the high expectations. At the moment, people say that “artificial intelligence will put most people
Every semester artificial intelligence The concept is quite misunderstood. This is due to the high expectations. At the moment, people say that “artificial intelligence will put most people out of work, including programmers”, “mankind will soon come to an end because of artificial intelligence”.
Come on, artificial intelligence that has been brought up 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 was experiencing its golden age during this period.
One of the first applications of artificial intelligence is undoubtedly the game of chess that everyone plays. In those days, you played chess 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 play chess against you It’s not artificial intelligence. The reason is quite understandable. The creators of the game have actually coded and moved every issue with features. Each move game Coding with software language is not artificial intelligence.
Everyone was discouraged by the understanding of symbolic artificial intelligence between 1980 and 2000. During this period, there was not much attention for artificial intelligence issues.
Artificial intelligence was also used during this period due to people’s loss of hope and enthusiasm. survived the winter we can say. Studies and developments did not occur during this period.
However, with the popularity of the 1950-1980 period and the development of the cinema industry after the 1980s, some popular films were shot. terminator The movie is one of them.
The situation is very different when we look at it today. Projects developed after 2000 with both concern and concern.
Artificial intelligence today subdomains machine learning and deep learning concepts are being developed every day. This brought the word autonomous to 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;
Image classification at an almost human level,
almost on a human level voice recognition,
Transcribe audio into video on a near-human level and
almost on a human level answering questions asked highlights have been reached.
Artificial intelligence could put many professions out of work, including software developers, but it’s not happening any time soon.
Although artificial intelligence can perform tasks at an almost human level, what it currently does still is on a 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.
So let’s pay attention to the structures we use. The preposition “as” can be explained as similar situations and the verb “inspired” can be explained as a connotation because of something. Resembling and being inspired is currently the main subject of artificial intelligence. Good, currently developed Artificial intelligence systems are no smarter than the human brain.
Famous creator of deep learning libraries Francois Chollet“Especially starting to talk about intelligence close to the human level should not be taken too seriously.” say. 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 don’t work like the human brain. There is no scientific evidence to contradict this.
Artificial intelligence down to the human level close missions Just because it can, doesn’t mean it works like a human brain. There is no scientific evidence for this in the studies that have been carried out.
Have peace of mind. still in the world most intelligent creature is human. The more a person develops, the more experience he will have in the craft he has developed, and the chances of finding a job are quite high. I want you to know that it is humans who lay the foundations of artificial intelligence models.
The new and advanced artificial intelligence model GPT-4 offered by OpenAI is for specific areas.
Pretty much if we all use ChatGPT We were impressed and uncomfortable. In OpenAI you will have understood that more advanced and with paid version GPT-4 released.
The GPT-4 model is undoubtedly better than previous models. However, the purpose of creating GPT-4 is for a specific area. Particular areas of focus include song composition, text editing, movie script writing, academic paper making, 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 you with your style. Isn’t it surprising? We also.
Those who develop artificial intelligence models still don’t think artificial intelligence will be better than humans. Moreover, learning software is not crazy either.
Now let’s focus on the answer to our question. learning software for now and for the next 50 years It’s never useless or crazy. 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 both can crash, cause security weakness and consume a lot of energy.
In order for an artificial intelligence system to destroy software and other fields, it must be first being smarter than humans It should bring profit to more companies. Compared to humans, systems today consist of stadium-sized servers, but they make a lot of mistakes and consume a lot of energy. Average in a code project that also uses the GPT-3.5 version 35-40 errors Although this is the case, the number of errors in GPT-4 is between 5 and 15. also recently of the GPT-5 model talk about the future.
Every software developer is doomed to be unemployed if he does not adapt to new systems and technologies.
The software developer’s main problem is the industry. continual be self-developing. Today there is ChatGPT and GPT-4. Soon GPT-5 is released and new artificial intelligence models will continue to proliferate.
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 continuously improve yourself.
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Alice Smith is a seasoned journalist and writer for Div Bracket. She has a keen sense of what’s important and is always on top of the latest trends. Alice provides in-depth coverage of the most talked-about news stories, delivering insightful and thought-provoking articles that keep her readers informed and engaged.