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The suit claims generative AI art tools violate copyright law by scraping artists’ work from the web without their consent.

A trio of artists have launched a lawsuit against Stability AI and Midjourney, creators of AI art generators Stable Diffusion and Midjourney, and artist portfolio platform DeviantArt, which recently created its own AI art generator, DreamUp.

The artists — Sarah Andersen, Kelly McKernan, and Karla Ortiz — allege that these organizations have infringed the rights of “millions of artists” by training their AI tools on five billion images scraped from the web “with­out the con­sent of the orig­i­nal artists.”


AI art gets its first major copyright lawsuit.

Check out all the on-demand sessions from the Intelligent Security Summit here.

2022 was a great year for generative AI, with the release of models such as DALL-E 2, Stable Diffusion, Imagen, and Parti. And 2023 seems to follow on that path as Google introduced its latest text-to-image model, Muse, earlier this month.

Like other text-to-image models, Muse is a deep neural network that takes a text prompt as input and generates an image that fits the description. However, what sets Muse apart from its predecessors is its efficiency and accuracy. By building on the experience of previous work in the field and adding new techniques, the researchers at Google have managed to create a generative model that requires less computational resources and makes progress on some of the problems that other generative models suffer from.

Words by pau aleikum & marta handenawer.

This article started as a discussion between friends, sparked by the release of ChatGPT last December. Instantly, our minds were racing with the massive amount of tremendously stupid and not-so-stupid applications it could have for our work at Domestic Data Streamers. It is clear that AI is a valuable tool you could use to finish assignments more quickly, but what would be lost in that process? Using ChatGPT feels like cheating; using a shortcut to finish your work, it’s so easy that it can feel as if you are not working at all. This obviously comes with a cost. If you don’t write those words, you are less likely to remember them and less likely to internalize knowledge or connect it to other fields of knowledge you already have. And that, friends, is a problem for education. The Atlantic recently declared that “The College Essay Is Dead,” and although I disagree, this calls for further exploration.

The use of ChatGPT to write academic projects has been a source of significant concern in academia. Three of the four universities we work with have already sent out emails asking that teachers acknowledge the existence of this technology and prepare for it. This is the next phase in our journey from manual calculation to technology-aided information recall, just as we evolved from adding up numbers in our minds to calculators and from basic orientation to Google Maps.

By Brookhaven National Laboratory

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have successfully demonstrated that autonomous methods can discover new materials. The artificial intelligence (AI)-driven technique led to the discovery of three new nanostructures, including a first-of-its-kind nanoscale “ladder.” The research was published today in Science Advances…

The newly discovered structures were formed by a process called , in which a material’s molecules organize themselves into unique patterns. Scientists at Brookhaven’s Center for Functional Nanomaterials (CFN) are experts at directing the self-assembly process, creating templates for materials to form desirable arrangements for applications in microelectronics, catalysis, and more. Their discovery of the nanoscale ladder and other new structures further widens the scope of self-assembly’s applications.

With new tools like the James Webb Space Telescope, we’re discovering more exoplanets than ever and even peering into their atmospheres. Now, NASA is asking for the public’s help in learning more about some of the exoplanets that have already been detected in a citizen science program called Exoplanet Watch.

“With Exoplanet Watch you can learn how to observe exoplanets and do data analysis using software that actual NASA scientists use,” said Rob Zellem, the creator of Exoplanet Watch and an astrophysicist at NASA’s Jet Propulsion Laboratory, in a statement. “We’re excited to show more people how exoplanet science is really done.”

The Exoplanet Watch project has two parts, one involving observing for those who have access to a telescope, and one involving identifying exoplanets in existing data. Even if you don’t have access to equipment other than a computer or smartphone, you can still help in learning about exoplanets by requesting access to data collected by robotic telescopes and assisting with data analysis. That’s needed because observing exoplanets passing in front of their host stars — in events called transits — is only half of the challenge of finding a new planet. These transits result in dips in the star’s brightness, but these dips are very small at typically less than 1% of the star’s brightness.

The PLA has been using AI to simulate war games for invasion operations against Taiwan.

China could allegedly use more artificial intelligence (AI) to maintain deterrence against the United States (U.S.) over Taiwan.

“PLA should conduct blockade exercises around the island and use AI technology to deter U.S. interference and Taiwanese independence forces,” said Ni Yongjie, deputy director of the Shanghai Institute of Taiwan Studies.


Vchal/iStock.

The People’s Liberation Army (PLA) should conduct blockade exercises around Taiwan and use AI technology to deter “U.S. interference,” South China Morning Post (SCMP) reported on Sunday, quoting a Chinese expert on Taiwan affairs.

The AI-powered cuddling robots could provide therapy for future astronauts.

Japan is seeking to one day launch adorable robotic seals called Paros into space, according to an article by the South China Morning Post (SCMP)

The company has already undertaken a two-week simulation of a Mars mission at the U.S.-based Mars Desert Research Station, operated by the Mars Society in Utah.


ParoRobots.com.

The aim is that these cuddly AI-driven machines will help astronauts cope with stress and even provide companionship on the Red Planet.

They say that actors ought to fully immerse themselves into their roles. Uta Hagen, acclaimed Tony Award-winning actress and a legendary acting teacher said this: “It’s not about losing yourself in the role, it’s about finding yourself in the role.”

In today’s column, I’m going to take you on a journey of looking at how the latest in Artificial Intelligence (AI) can be used for role-playing. This is not merely play-acting. Instead, people are opting to use a type of AI known as Generative AI including the social media headline-sparking AI app ChatGPT as a means of seeking self-growth via role-playing.


You might be wondering why I didn’t showcase a more alarming example of generative AI role-playing. I could do so, and you can readily find such examples online. For example, there are fantasy-style role-playing games that have the AI portray a magical character with amazing capabilities, all of which occur in written fluency on par with a human player. The AI in its role might for example try to (in the role-playing scenario) expunge the human player or might berate the human during the role-playing game.

My aim here was to illuminate the notion that role-playing doesn’t have to necessarily be the kind that clobbers someone over the head and announces itself to the world at large. There are subtle versions of role-playing that generative AI can undertake. Overall, whether the generative AI is full-on role-playing or performing in a restricted mode, the question still stands as to what kind of mental health impacts might this functionality portend. There are the good, the bad, and the ugly associated with generative AI and role-playing games.

On a societal basis, we ought to be deciding what makes the most sense. Otherwise, the choices are left in the hands of those that perchance are programming and devising generative AI. It takes a village to make sure that AI is going to be derived and fielded in an AI Ethically sound manner, and likewise going to abide by pertinent AI laws if so established.

As Kaifu Lee, a keen observer of AI development in China has put it, “we’re now in the age of AI implementation.” While the West, the U.S. and Canada in particular, will remain ahead in AI research, those Western advances are quickly adopted in China where the massive market, a surfeit of young engineers, government support and a cutthroat entrepreneurial culture are driving industrial innovation in AI.

“The digital and real economies are accelerating their integration,” said Baidu’s Chief Technology Officer, Haifeng Wang, who is also Head of Baidu Research.

China’s 14th Five-Year Plan and Vision 2030 both place a strong focus on the development of the digital economy, seeing this sector as a source of tremendous untapped innovative power and space for growth.