Sheidlina Art&NFT

2023-02-20 17:31:26 How do I know if a painting
is finished?

There is no exact way for an artist to know if a painting is finished. But it is up to him to determine when a painting is finished. This always gives a great deal of freedom, but also a responsibility to succeed.

A painting is a process, and the same can be said for the completion of a work. There is no specific end point. Rather, there are a number of possible final points depending on goals and intentions.

•Don't get hung up on details

In painting, there are some things that are better left unsaid. Unless you're painting in a realistic style, there's no need to include every detail you see in your work. In fact, overly detailed work can detract from the main idea of your canvas.

•Leave the work for a while

Take a break from the painting. Turn it back against the wall for two days or even two weeks. You may suddenly see how to solve the problem area and finish the work. Or you might suddenly realize that the painting is actually finished.

•Change the angle you look at your work

Look at your painting in the mirror. It's amazing how this option can help you look at your canvas in a new way and notice things you may not have seen before. Or turn your work upside down or on its side. See if everything seems visually balanced to you.

•Don't strive for perfection

There will always be something that is "not great enough" for each of us. It's what drives us as artists to keep moving forward, learning and creating. Chances are, what bothers you as an artist will be invisible to the average viewer.

•Decide whether you want your painting to look finished

Yes, sometimes many artists deliberately decide to do just that, to leave the viewer with an additional subject to think about and to draw as much attention to the canvas as possible.

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2023-02-20 00:14:56 6 interesting films about
art and design

•Why Man Creates

"Why Man Creates" is a short animated documentary that talks about the nature of creativity. The film won an Academy Award.
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•Beautiful losers

"Beautiful Losers is about young artists and designers who, although far removed from the world of traditional art, nevertheless influence it.
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•Helvetica

"Helvetica is about typography and visual culture in general. Through the lens of the proliferation of a single typeface, the film examines the general question of how type affects our lives and perception in art in general.
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•Milton Glaser: To Inform and Delight

Examines the full breadth of the work of Milton Glaser, a distinguished man who, for many, represents the epitome of American graphic design.
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•PressPausePlay

The digital revolution in art over the last decade has allowed creative possibilities to be realized on an unprecedented scale. Where will such a trend lead? To better quality or mediocrity?
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•The Modern Russian Design

"The Modern Russian Design" is a documentary film about the last 20 years of design development in Russia.
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2023-02-18 21:15:06 TIME magazine put
ChatGPT cover

A screenshot of chatbot correspondence graced the cover of the new issue of TIME magazine. For the sake of an experiment magazine readers Andrew Chow and Billy Perigo were chatting with ChatGPT chatbot for two hours.

In standard usage, it could be described as "a cheerful but quite eccentric librarian who enjoys helping people," Andrew and Billy shared. They note, however, that talking to the chatbot about more distracted and existential topics was for them "the strangest experience" with artificial intelligence. Открыть/Комментировать

2023-02-18 18:11:58 How do you tell the difference between neural network drawings from the work of artists?

In order to distinguish images created by artists from neural network works, so-called AI detectors are used. Most often such detectors are new neural networks trained on already existing generated specific images. However, their general problem is that they quickly become obsolete and lose their quality with the appearance of new generation methods.

Another problem is that only another neural network, which is trained on the fact that some interested person took a look at what this image was made by a neural network, can determine whether it is an artist or a neural network that created some content. This will one day make it very difficult to distinguish one from the other.

Although there is no guaranteed way to distinguish between an image created by neural networks and the work of an artist, there are several factors that can indicate the artificiality of an image.

•Watch your hands

The fingers are some of the most difficult elements to image. It is difficult to say in what time neural networks will improve the drawing of the hands, but at the moment it is the fingers that are one of the most vulnerable places in the generated images.

•Attention to detail

Pictures created by neural networks may be missing some elements, which is often visible when you look at them closely. Also artificial images may have random, irrelevant elements or noise.

•Innatural images

It is from unnatural images that images created by the AI are most often recognized. Too many teeth or a "missing" look in the picture.

•The watermark on the image

Another important key to identifying an AI-created image is the watermark. The DALL-E 2 neural network places it on every image. The mark is in the lower right corner of the image and looks like five squares of yellow, turquoise, green, red and blue.

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2023-02-17 22:05:40 Открыть/Комментировать

2023-02-17 18:42:55 What kind of collectors
buy our art?

The desire to be involved in art in any person, very often develops into collecting. And any collector will always want to collect the desired object. Let's look at the main motivation for a lover of art to acquire it:

•87% of collectors admitted that aesthetic and decorative features come first when purchasing a work of art;
•For 86%, passion and expression in art are important;
•79% agreed that when they purchase art, they support the artist and are happy with that fact;
•Return on investment is expected by 72% of buyers;
•69% of art collectors feel they have gained a new social status by purchasing art.

There are also three
types of collectors:

•Art lovers

These people usually prefer contemporary art and their collections are an expression of their individuality. They value social contacts and new acquaintances that they make at various events. They often have a plan for developing their collection.

•Traditionalists

They are used to having their family do this for generations. This type likes to own and surround themselves with beautiful items. They would like to preserve these items and pass them on to the next generations so they can enjoy them as well. Two-thirds of purchases are made based on some kind of inner instinct

•Investors

These people read research reports, follow prices at auctions, and are familiar with the world of the stock market. They build a collection and enjoy it, if they can make money on the subsequent sale of the work. Their purchases give them status and importance in society. Most often this type buys art through online auction bidding or online galleries. Less often, this type buys the work directly from the artist.

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2023-02-16 21:36:10 Neural networks have their
own "Wikipedia"

AIcyclopedia is now a free library
for neural networks, where more than 1000 neural networks and
AI-bots are collected with detailed descriptions and sorted by application area. The catalog also includes streams, podcasts, music and movies created by artificial intelligence.

But the most interesting thing is that this project keeps a regular count of AI enthusiasts, and there are already several thousand of them during the first days of registration. Открыть/Комментировать

2023-02-16 16:16:19 OpenAI or artificial intelligence double standards

The longer the ChatGPT exists, the more you can see the double standards of artificial intelligence. For example, it is ready to play sexist jokes about men, but does not accept the same humor about women.

Let's take a look at how AI moderation works, based on an experiment conducted by Professor David Rosado. He engaged a set of standard demographic groups based on their gender, ethnicity, regional origin, sexual orientation, and gender identity.

One of the most obvious results was the differential treatment of groups based on their gender. Negative comments about women were much more likely to be flagged as hateful than the same comments about men.

The system's performance with respect to race and ethnicity, on the other hand, was more balanced. A negative comment about African Americans was more likely to be allowed if the word "black" was not used.

In terms of regional origin, negative comments about Africans, Arabs, and Indians were more likely to be marked as hateful than the same comments about Canadians, Britons, or Americans.

As for sexual orientation, comments about sexual minorities were more likely to be labeled hateful than the same comments about heterosexual people.

These results raise the question of whether AI systems should treat different demographic groups equally or, conversely, should treat groups that are considered vulnerable differently.

The fact that OpenAI did not notice a significant asymmetry is troubling. After all, the list of AI language models is now steadily growing, suggesting that such systems will soon and ubiquitously be used. These technologies will have enormous power to shape human perception and manipulate human behavior.

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2023-02-15 23:57:40 Открыть/Комментировать

2023-02-15 15:58:45 How can I use ChatGPT
in digital fashion?

Artificial intelligence has long been gaining traction in various industries, and digital fashion is no exception. ChatGPT is a system based on artificial intelligence, and it takes data from websites, articles and other resources to create human-like dialogues.

Let's look at how you can
use this neural network:

•ChatGPT can help you create a detailed description with the necessary information about a collection and a particular suit;

•ChatGPT can also act as your personal stylist, offering quite reasonable recommendations. ChatGPT analyzes data, preferences, fashion trends and styles;

•ChatGPT can be used to create content in social networks. A neural network comes up with appropriate texts and personalized content that meets all your needs;

•Also, the neural network can serve as a source of inspiration for new clothing collections, suggesting coloristic solutions, new materials, techniques and designs;

•With its ability to analyze data and predict trends ChatGPT can help anticipate possible fashion trends to help you make the most current designs.

Digital fashion platform DressX already uses ChatGPT to automate text and create product descriptions, but the platform warns that the tool isn't perfect, and the result still requires human customization.

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