The advances of artificial intelligence they are admirable. Certainly, it doesn't take much notice to realize the strong influence of technological advances worldwide. The features were previously only seen in science fiction movies, and today it may be closer than we think. Yes, AI is constantly growing technologically, however, there are still limitations that need to be recognized by the system.
Some milestones were reached in 2022 in AI, such as the emergence of art generation, for example, with Google’s Imagen, AI’s DALL-E 2 and Stable Diffusion. On the Internet, navigators were able to access images through text descriptions. Converting texts into images was something that gained great repercussions on the internet.
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In December, the AI called ChatGPT was announced, surprising everyone with its ability to create written texts. There is even a great possibility that the technology will pass professional exams in the near future.
In less than a week, ChatGPT gained a million new users and some New York schools had to ban its use among students. In 2023, Microsoft intends to support the use of ChatGPT in Office suites and Bing web search.
Current advances depend primarily on algorithms and the insights of each one of them. As a result, technology currently depends solely on this optimization. For example purposes, ChatGPT received training to identify a text excerpt and continue the command it received.
Does continuing the process by command mean the AI is really creative? There are debates that talk about this point. If AI is literally creative, then it is believed to rival humans.
However, humans do not need algorithms for creativity to flow. The essential difference is the human experience that makes you see different lived experiences to be able to produce, unlike an AI.
The biggest problems can be easily predicted by humans. They are experiences, for example, that can prevent a human from committing the same mistake several times. Algorithms are not able to understand this cause and effect relationship when we are dealing with something purely human.
The essence of this experience are the effects that causality can cause. Data can solve many technological problems through computers, but the ability to cause and effect is something that is beyond algorithms and applications.
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