{"id":2583,"date":"2022-10-13T16:38:52","date_gmt":"2022-10-13T16:38:52","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2022\/10\/13\/press-art-to-continue-new-ai-tools-promise-art-with-the-push-of-a-button-but-reality-is-more-complicated\/"},"modified":"2022-10-13T16:38:52","modified_gmt":"2022-10-13T16:38:52","slug":"press-art-to-continue-new-ai-tools-promise-art-with-the-push-of-a-button-but-reality-is-more-complicated","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2022\/10\/13\/press-art-to-continue-new-ai-tools-promise-art-with-the-push-of-a-button-but-reality-is-more-complicated\/","title":{"rendered":"Press Art to Continue: New AI Tools Promise Art With the Push of a Button \u2014 But Reality Is More Complicated"},"content":{"rendered":"
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Alien invasions. Gritty dystopian megacities. Battlefields swarming with superheroes. As one of Hollywood\u2019s top concept artists, Drew Leung can visualize any world you can think of, except one where AI takes his job.<\/p>\n

He would know. He\u2019s spent the past few months trying to make it happen, testing every AI tool he could. \u201cIf your whole goal is to use AI to replace artists, you\u2019ll find it really disappointing,\u201d Leung said.<\/p>\n

Pros and amateurs alike, however, are finding these new tools intriguing. For amateur artists \u2014 who may barely know which way to hold a paintbrush \u2014 AI gives them almost miraculous capabilities.<\/p>\n

Thanks to AI tools such as Midjourney<\/a>, OpenAI\u2019s Dall\u00b7E<\/a>, DreamStudio<\/a>, and open-source software such as Stable Diffusion<\/a>, AI-generated art is everywhere, spilling out across the globe through social media such as Facebook and Twitter, the tight-knit communities on Reddit and Discord, and image-sharing services like Pinterest and Instagram.<\/p>\n

The trend has sparked an uproarious discussion in the art community. Some are relying on AI to accelerate their creative process \u2014 doing in minutes what used to take a day or more, such as instantly generating mood boards with countless iterations on a theme.<\/p>\n

Others, citing issues with how the data used to train these systems is collected and managed, are wary. \u201cI\u2019m frustrated because this could be really exciting if done right,\u201d said illustrator and concept artist Karla Ortiz, who currently refuses to use AI for art altogether.<\/p>\n

NVIDIA\u2019s creative team provided a taste of what these tools can do in the hands of a skilled artist during NVIDIA founder and CEO Jensen Huang\u2019s keynote<\/a> at the most recent NVIDIA GTC technology conference<\/a>.<\/p>\n

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\u201cArtificial Intelligence, Leonardo da Vinci drawing style,\u201d an image created by NVIDIA\u2019s creative team using the Midjourney AI art tool.<\/figcaption><\/figure>\n

Highlights included a woman representing AI created in the drawing style of Leonardo da Vinci and an image of 19th-century English mathematician Ada Lovelace, considered by many the first computer programmer, holding a modern game controller.<\/p>\n

More Mechanical Than Magical<\/strong><\/h2>\n

After months of experimentation, Leung \u2014 known for his work on more than a score of epic movies including Black Panther<\/i> and Captain America: Civil War<\/i>, among other blockbusters \u2014 compares AI art tools to a \u201ckaleidoscope\u201d that combines colors and shapes in unexpected ways with a twist of your wrist.<\/p>\n

Used that way, some artists say AI is most interesting when an artist pushes it hard enough to break. AI can instantly reveal visual clich\u00e9s \u2014 because it fails when asked to do things it hasn\u2019t seen before, Leung said.<\/p>\n

And because AI tools are fed by vast quantities of data, AI can expose biases across collections of millions of images \u2014 such as poor representation of people of color \u2014 because it struggles to produce images outside a narrow ideal.<\/p>\n

New Technologies, OId Conversations<\/strong><\/h2>\n

Such promises and pitfalls put AI at the center of conversations about the intersections of technology and technique, automation and innovation, that have been going on long before AI, or even computers, existed.<\/p>\n

After Louis-Jacques-Mand\u00e9 Daguerre invented photography in 1839, painter Charles Baudelaire declared photography \u201cart\u2019s most mortal enemy.\u201d<\/p>\n

With the motto, \u201cYou push the button, we do the rest,\u201d George Eastman\u2019s affordable handheld cameras made photography accessible to anyone in 1888. It took years for 19th-century promoter and photographer Alfred Stieglitz, who played a key role transforming photography into an accepted art form, to come around.<\/p>\n

Remaking More Than Art<\/strong><\/h2>\n

Over the next century new technologies, like color photography, offset printmaking and digital art, inspired new movements from expressionism to surrealism, pop art to post-modernism.<\/p>\n

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By the late 20th century, painters had learned to play with the idioms of photography, offset printing and even the line drawings common in instructional manuals to create complex commentaries on the world around them.<\/figcaption><\/figure>\n

The emergence of AI art continues the cycle. And the technology driving it, called transformers<\/a>, like the technologies that led to past art movements, is driving changes far outside the art world.<\/p>\n

First introduced in 2017, transformers are a type of neural network that learns context and, thus, meaning, from data. They\u2019re now among the most vibrant areas for research in AI.<\/p>\n

A single pretrained model can perform amazing feats \u2014 including text generation, translation and even software programming \u2014 and is the basis of the new generation of AI that can turn text into detailed images.<\/p>\n

The diffusion models powering AI image tools, such as Dall\u00b7E and Dall\u00b7E 2, are transformer-based generative models that refine and rearrange pixels again and again until the image matches a user\u2019s text description.<\/p>\n

More\u2019s coming. NVIDIA GPUs<\/a> \u2014 the parallel processing engines that make modern AI possible \u2014 are being fine-tuned to support ever more powerful applications of the technology.<\/p>\n

Introduced earlier this year, the Hopper FP8 Transformer Engine<\/a> in NVIDIA\u2019s latest GPUs will soon be embedded across vast server farms, in autonomous vehicles and in powerful desktop GPUs.<\/p>\n

Intense Conversations<\/strong><\/h2>\n

All these possibilities have sparked intense conversations.<\/p>\n

Artist Jason Allen ignited a worldwide controversy by winning a contest at the Colorado State Fair with an AI-generated painting.<\/p>\n

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\"Salvator<\/p>\n

<\/a>Attorney Steven Frank<\/a> has renewed old conversations in art history by using AI to reassess the authenticity of some of the world\u2019s most mysterious artworks, such as \u201cSalvator Mundi,\u201d left, a painting now attributed to da Vinci.<\/p>\n

Philosophers, ethicists and computer scientists such as Ahmed Elgammal at Rutgers University are debating if it\u2019s possible to separate techniques that AI can mimic with the intentions of the human artists who created them.<\/p>\n

Ortiz is among a number raising thorny questions about how the data used to train AI is collected and managed. And once an AI is trained on an image, it can\u2019t unlearn what it\u2019s been trained to do, Ortiz says.<\/p>\n

Some, such as New York Times<\/i> writer Kevin Roose, wonder if AI will eventually start taking away jobs from artists.<\/p>\n

Others, such as Jason Scott, an artist and archivist at the Internet Archive, dismiss AI art as \u201cno more dangerous than a fill tool.\u201d<\/p>\n

Such whirling conversations \u2014 about how new techniques and technologies change how art is made, why art is made, what it depicts, and how art, in turn, remakes us \u2014 have always been an element of art. Maybe even the most important element.<\/p>\n

\u201cArt is a conversation we are all invited to,\u201d American author Rachel Hartman once wrote.<\/p>\n

Ortiz says this means we should be thoughtful. \u201cAre these tools assisting the artist, or are they there to be the artist?\u201d she asked.<\/p>\n

It\u2019s a question all of us should ponder. Controversially, anthropologist Eric Gans connects the first act of imbuing physical objects with a special significance or meaning \u2014 the first art \u2014 to the origin of language itself.<\/p>\n

In this context, AI will, inevitably, reshape some of humanity\u2019s oldest conversations. Maybe even our very oldest conversation. The stakes could not be higher.<\/p>\n

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Featured image:<\/em> Portrait of futuristic Ada Lovelace, playing video games, editorial photography style by NVIDIA\u2019s creative team, using Midjourney.\u00a0<\/i><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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