Man wins contest with AI-generated artwork • The Register


In short A man won an art contest with an AI-generated image, and some people aren’t too happy about it.

The image, titled Space Opera Theater, looks like an impressive painting of an opera stage with performers on stage and an abstract audience in the background with a huge moon-shaped window. It was created by Jason Allen, who went through hundreds of iterations of written descriptions fed into the Midjourey text-to-image generator before the software emitted the image it wanted.

He won first prize and $300 after submitting a printed version of the image to the Colorado State Fair fine art competition. His feat, however, raised eyebrows and divided opinion.

“I knew it would be controversial,” Allen said on the Midjourney Discord server on Tuesday, according in Vice. “How interesting how all these people on Twitter who are against AI-generated art are the first to throw the human under the bus discrediting the human element! hypocrite?”

Washington Post tech reporter Drew Harwell, who covered the brouhaha herebrought up an interesting point: “People used to think of photography as cheating too – just press a button – and now we realize that the best creations are all about skillful composition, judgment and tone,” said does he tweeted.

“Are we ever going to look at the art of AI the same way?

Football, football, football

DeepMind trained virtual agents to play football – the football genre – using reinforcement learning to control their motor and teamwork skills.

Football is a great game for testing software planning skills in a physical domain, as it requires bots to learn how to move and coordinate parts of their computer with others to achieve a goal. These capabilities will prove useful in the future for real robots and will become an integral part of general artificial intelligence.

“Football is an excellent area to explore this very general problem,” said DeepMind researchers and co-authors of a paper published in Science Robotics this week says The register. “It requires planning at the level of skills such as tackling, dribbling or passing, but also longer-term concerns such as clearing the ball or positioning.

“Humans can do this without actively thinking at the level of high-frequency motor control or individual muscle movements. We don’t know how planning is better organized at such different scales, and achieving this with AI is an open problem. active for research.

At first, humanoids move their limbs in a virtual environment randomly and gradually learn to run, tackle, and score using imitation and reinforcement learning over time.

They were pitted against each other in teams of two. You can see a demonstration in the video below.

Youtube video

People are using AI to generate NSFW images

It was only a matter of time before someone created a viral text-to-image tool to generate porn images.

Steady broadcast is taking the AI ​​world by storm. The software – including the source code, the model and its weights – has been made public, allowing anyone with some level of coding skills to adapt their own system to a specific use case. A developer has built and released Porn Pen globally, with which users can choose a series of tags, like “babe” or “chubby”, to generate an NSFW image.

“I think it’s somewhat inevitable that this will happen when [OpenAI’s] DALL-E did it,” Os Keyes, PhD student at Seattle University, Told Tech Crunch. “But it’s still depressing how the options and defaults replicate a very heteronormative, masculine look.”

It’s unclear how this will affect the sex industry, and many fear that text-to-image tools could be tricked into creating deepfakes of someone or tricked into producing illegal content. These systems sometimes struggled to properly visualize human anatomy.

People have noticed these ML models adding nipples on random parts of the body or sometimes an extra arm or something sticking out somewhere. This is all rather creepy.

Can AI decode your cat’s meows?

There is a mobile app that claims to be able to translate the meaning of a cat’s meows into plain English using machine learning algorithms.

Aptly named MeowTalk, the app analyzes recordings of cat noises to predict their mood and interprets what they might be trying to say. It tells owners if their pet felines are happy, resting, or hunting, and can translate that into phrases like “let me rest” or “hey, I’m so glad to see you,” for example.

“We try to understand what cats are saying and give them a voice” Javier Sanchez, founder of MeowTalk, Told the New York Times. “We want to use this to help people build better, stronger relationships with their cats,” he added. However, code using machine learning algorithms to decode and study animal communication is not always reliable.

MeowTalk doesn’t interpret purring intent very well, and sometimes the textual translation of cat noises is very strange. When a reporter grabbed her cat and it meowed, the app apparently thought she had said to her owner, “Hey baby, let’s go somewhere private!”

Stavros Ntalampiras, a computer scientist at the University of Milan, who was called in to help the founders of MeowTalk, admitted that “a lot of translations are creatively presented to the user”, and said “it’s not pure science at this point”. ®

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