ChatGPT's artificially intelligent results are also fascinating more and more filmmakers. The various providers spit out short answers, detailed texts or even images on their platforms, some of which are chargeable. The quality of the results and of course the verification of the veracity are determined by the user's competence. Like any other tool, it has to be practiced. US universities are therefore already requiring students to use these systems. China is leading the world in various AI applications, such as image analysis. "The quality of the input and the iteration skills are crucial," say experts. What does that mean?
As a rule, everyone starts their own experiment with AI systems with simple tasks, similar to entering data into a search engine. The results are correspondingly simple. Anyone who asks the system further questions, asks questions and varies the tasks will recognize the potential. However, with a little practice, even a beginner can achieve impressive results in just a few minutes. As with other skills, it all comes down to practice and a thirst for learning.
The systems can be consulted on all aspects of life. Users can use the results to find out the strengths and weaknesses of the system themselves. Since the current data is usually older, results on current issues often contain errors. The database often contains English-language content, so a German-language query is first translated into English and the result translated back into German. This may result in more inaccuracies than the English original.
So what is the difference to search engines?
- Instead of entering keywords as a search query, the AI systems generate an answer through a personal approach. The result is also given in complete sentences and can be asked for more specific questions or adjusted. In the context of this conversation (chat), a well-fitting, individual answer is created.
- The result is not a reference to existing content, as with search engines, but rather the concrete answer to the task. The results generated are original, i.e. newly created.
- The requests can be much more complex, for example entire work orders. In this way, structural suggestions or even entire texts can be generated. With further applications, this can be transferred to music, sounds, images, moving images and AV content.
- In some applications, the depth of technology is indicated by "deep". A deep fake is an AI-based distortion of reality. For example, politicians and celebrities can be given false words.
- There are of course discussions about the authorship of content created in this way. Where does the support line end, as with a spelling program, and where does unlawful appropriation begin? This topic cannot be conclusively resolved, particularly from the point of view of digital art. Here we will also have to wait and see how society develops.
Under this link you will find an article, completely created by AI, on the topic of creative industries in comparison with the American entertainment business :
"The creative industries in Europe and the entertainment industry in the United States are both large and influential, but there are some notable differences between them.
In Europe, the creative industries cover a wide range of sectors, including architecture, art, crafts, design, fashion, film, music, performing arts, publishing, software and video games. These industries employ millions of people and contribute significantly to the economies of many European countries. Some of the major creative hubs in Europe are London, Paris, Berlin, Amsterdam and Milan.
On the other hand, the entertainment industry in the US is mainly focused on film, television, and music. Hollywood, located in Los Angeles, California, is the center of the US film industry and is responsible for producing many of the world's biggest blockbuster films. The US television industry is also a major player, with popular shows such as Game of Thrones, Breaking Bad, and The Sopranos originating from the country. In addition, the US is home to some of the world's biggest music labels, such as Universal Music Group and Sony Music Entertainment.
A key difference between the two is that European creative industries prioritise cultural diversity and government support for the arts. Many European countries have strong public funding for the arts and support for cultural events, allowing for a wider range of artistic expressions and a more diverse range of voices in the creative industries.
In contrast, the U.S. entertainment industry tends to place an emphasis on commercial success and profit. While there are certainly many talented artists and creators in the U.S. entertainment industry, there is often pressure to produce content that is commercially successful and appeals to a mass audience. This can sometimes lead to a lack of diversity and a homogenization of popular culture.
Overall, both the European creative industries and the US entertainment industry are important and influential in their own ways, but have different priorities and approaches to producing and promoting creative content."
Your Ensider:Team
(Author: Markus Vogelbacher)
(Image: pixabay/geralt)