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Artificial Intelligence and the next problems.

In general, Artificial Intelligence has the potential to both enhance and impair creativity. It will depend on how it is used and how the creative industries adapt to these new technologies or well, that is what Artificial Intelligence says about itself, since this introduction was written by Chat GPT a language artificial intelligence that together with DALLE 2 They are going to change the creative industry.


If we let her!


What is Dalle and Chat GPT?


To better explain this example is given.

A premise is set. First, Chat GPT is asked to give me a story about a pikachu going to the mountains to meet the ghost of his lost uncle, the Mexican wrestler El Santo, who is going to ask him to put up a little chapel for the town and what he gave us was this totally original story where he involves these characters and develops the premise that is asked of him.


As a story, they clearly leave a lot to be desired, but as artistic outlets from the indication that is presented to him, he is very decent and to think that he did this in 3 min.


How does it work?


To explain how they work, we should talk about machine learning and the Chinese game go:

Machine learning is a branch of artificial intelligence that focuses on the development of algorithms and techniques that allow computers to automatically learn and improve from data, without being explicitly programmed.


AlphaGo is a machine learning system developed by Google DeepMind that was trained to play the game Go, a strategy game originating in China, it is said that there are more possible moves than atoms in the universe and it would be impossible to make a computer that processes that data , but we can teach it from ourselves AlphaGo uses a combination of supervised and unsupervised learning to learn to play Go, with a deep learning algorithm based on neural networks to analyze the possible moves and select the best one, this was learned from watching lots and lots of videos of the best players in the world.


In 2016, AlphaGo beat world champion Lee Sedol in a series of Go games, marking a major milestone in the field of machine learning and artificial intelligence.


For now they do not have access to real-time information from the world, since they are artificial intelligence-based language processing models that are trained with a large volume of historical data. These models do not have the ability to collect data in real time, and their knowledge is limited to the data that was supplied to them during their training, and their knowledge cutoff is at a specific time.

It is thought that in a couple of years it will be possible to connect to the internet in real time and that would be another great step for this technology.


There is a big question, if you use this Machine Learning system, who are you learning from?


How do you know what this technology knows?


Mainly two sources, first: You,

Every time you fill out a captcha, every time you put hashtags, or tag people. We're all, all the time teaching machines that they're not meant to replace, a lot you do knowingly and a lot is actually stolen.


In 2018, it was reported that Cambridge Analytica, a political consulting firm, had collected information from millions of Facebook users in developing countries without their consent. The information was used to influence political elections in several countries, including Kenya and Nigeria.


In 2019, it was reported that Google had collected information from the Wi-Fi networks of people in developing countries, including India and Indonesia, through its Street View mapping service. The information was collected without the consent of the individuals and violated the privacy laws of various countries.


In 2020, it was reported that a Chinese company, Huawei, was collecting information from users in developing countries through their mobile phones and network devices, and may be using this information for national security purposes.


Tesla logs every mile, every time you dodge or go forward, he learns.

When Dalle is asked for a field of red sunflowers as if Van Gogh had painted it, he promptly takes inspiration from the artist.


But when you are asked for a pop art reference, or illustration, ¿from whom do you draw inspiration for the style?


Art from artists who never gave their consent has been found as part of the database of these systems, proof can even be found, since in some responses Artificial Intelligence even puts the artist's own signature. Which indicates that art is being stolen on time.


Does this mean that in the near future, we will all be able to live like in Walle, living the joy of a life without work?


Maybe not, it is very important to consider, who owns these companies.


Open AI is an organization that belongs to a number of entrepreneurs, where the main intention is to increase income and lower costs, this will be a tool for efficiency, even if it is temporarily sold as a free tool, when we are really educating the demo.


Stopping this tool in the arts or in schools would be fruitless, because it will inevitably become a reality, they must participate prudently, know where we put our information and know where they are getting it from, and primarily ask the important questions: what for and why?


How does it affect us?


Artificial intelligence can be the catalyst for new, deep and positive changes in employment and labor relations, in the relocation of workplaces and, in general, in an improvement in living conditions.

How it will become part of our daily lives may sound like many advantages to some, but it puts the work of many artists at risk, whether in the area of writing or illustration.

Also, if young people are not educated on how to use it appropriately, they can use it to cheat in school work, that will affect their educational formation and in the future when they have to face the world of work or develop jobs on their own, they will not be capable of that.



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