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"According to the website Lexica, which tracks over 10 million images and prompts generated by Stable Diffusion, Rutkowski's name has been used as a prompt around 93,000 times. Some of the world's most famous artists, such as Michelangelo, Pablo Picasso, and Leonardo da Vinci, brought up around 2,000 prompts each or less. Rutkowski's name also features as a prompt thousands of times in the Discord of another text-to-image generator, Midjourney. Rutkowski was initially surprised but thought it might be a good way to reach new audiences. Then he tried searching for his name to see if a piece he had worked on had been published. The online search brought back work that had his name attached to it but wasn't his. "It's been just a month. What about in a year? I probably won't be able to find my work out there because [the internet] will be flooded with AI art," Rutkowski says. "That's concerning.""

"What do today's AI-generated lesson plans look like? AI-generated lesson plans are already better than many people realise. Here's an example generated through the GPT-3 deep learning language model:"

"Google has put a temporary block on its new artificial intelligence model producing images of people after it portrayed German second world war soldiers and Vikings as people of colour. The tech company said it would stop its Gemini model generating images of people after social media users posted examples of images generated by the tool that depicted some historical figures - including popes and the founding fathers of the US - in a variety of ethnicities and genders."

"AI-generated voices are extremely convincing and can converse without the obvious repetitions and scripted lines, making a dream tool for fraudsters, marketers and political campaigns. The Federal Communications Commission sees the costs of all this coming and is banning their use in robocalls. "Bad actors are using AI-generated voices in unsolicited robocalls to extort vulnerable family members, imitate celebrities and misinform votes," said FCC Chairwoman Jessica Rosenworcel in a press release. "State attorneys general will now have new tools to crack down on these scams and ensure the public is protected from fraud and misinformation.""

"Researchers at the University of Reading fooled their own professors by secretly submitting AI-generated exam answers that went undetected and got better grades than real students. The project created fake student identities to submit unedited answers generated by ChatGPT-4 in take-home online assessments for undergraduate courses. The university's markers - who were not told about the project - flagged only one of the 33 entries, with the remaining AI answers receiving higher than average grades than the students."

"'Fredbot' is one example of a technology known as chatbots of the dead, chatbots designed to speak in the voice of specific deceased people. Other examples are plentiful: in 2016, Eugenia Kuyda built a chatbot from the text messages of her friend Roman Mazurenko, who was killed in a traffic accident. The first Roman Bot, like Fredbot, was selective, but later versions were generative, meaning they generated novel responses that reflected Mazurenko's voice. In 2020, the musician and artist Laurie Anderson used a corpus of writing and lyrics from her late husband, Velvet Underground's co-founder Lou Reed, to create a generative program she interacted with as a creative collaborator. And in 2021, the journalist James Vlahos launched HereAfter AI, an app anyone can use to create interactive chatbots, called 'life story avatars', that are based on loved ones' memories. Today, enterprises in the business of 'reinventing remembrance' abound: Life Story AI, Project Infinite Life, Project December - the list goes on."

"ussian, North Korean, or Iranian state backed-hackers, for example, might now be able to execute much more convincing social engineering and election interference schemes in the US using this tool. ChatGPT can also generate multiple versions of these campaigns and many fake online profiles to promote them, to allow the success of such attacks through sheer volume or variation in content."

"A fake, AI-generated image of Pope Francis stepping out in a stylish white puffer jacket and bejewelled crucifix racked up millions of views over the weekend - with many mistaking it for a real image. Experts fear the rapidly developing technology behind the image could soon undermine our ability to distinguish fake photos, which can be generated in seconds, from reality."

"Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now."

"The foreign ministry's press service said that the statements given by Shi would not be generated by AI but "written and verified by real people". "It's only the visual part that the AI helps us to generate," Dmytro Kuleba, the Ukrainian foreign minister, said, adding that the new spokesperson was a "technological leap that no diplomatic service in the world has yet made"."

"Facebook and Instagram users will start seeing labels on AI-generated images that appear on their social media feeds, part of a broader tech industry initiative to sort between what's real and not. Meta said Tuesday it's working with industry partners on technical standards that will make it easier to identify images and eventually video and audio generated by artificial intelligence tools."

""AI lowers the barriers to entry for creating content. You don't need coding skills or anything like that to generate these images. It is also symptomatic of far-right views going mainstream or being normalised," he said, adding that the far right appeared to have fewer moral concerns about AI imagery. Allchorn said more established political parties appeared warier of using AI in official campaigns: "Mainstream actors still have ethical concerns about the effectiveness, authenticity and reliability of these models that far-right or extremist actors are not beholden to.""

"Dozens of YouTube channels are mixing AI-generated images and videos with false claims about Sean "Diddy" Combs's blockbuster trial to pull in tens of millions of views on YouTube and cash in on misinformation. Twenty-six channels generated nearly 70m views from roughly 900 AI-infused Diddy videos over the past 12 months, according to data gathered from YouTube."

""Methbot" that generated $3M-$5M by creating 6,000 fake websites to embed videos in, then generating convincing bots that that appeared to watch 300,000,000 videos/day -- running virtual instances of various browsers (mostly Chrome) on virtual machines running MacOS X, from a huge pool of IP addresses"

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"Facebook is to prompt every adult user in the UK to register to vote ahead of the general election in May, in the company's first intervention into British electoral politics."

"At their core, GANs consist of two networks: the generator and discriminator. These computer programs compete against each other millions-upon-millions of times to refine their image generating skills until they're good enough to create the full-fledged pictures."

"Researchers fed these algorithms (which function like autocomplete, but for images) pictures of a man cropped below his neck: 43% of the time the image was autocompleted with the man wearing a suit. When you fed the same algorithm a similarly cropped photo of a woman, it auto-completed her wearing a low-cut top or bikini a massive 53% of the time. For some reason, the researchers gave the algorithm a picture of the Democratic congresswoman Alexandria Ocasio-Cortez and found that it also automatically generated an image of her in a bikini. (After ethical concerns were raised on Twitter, the researchers had the computer-generated image of AOC in a swimsuit removed from the research paper.)"

"There are still algorithms involved in true random number generators, and algorithms are never truly random."

"Picking between the next Xbox or PlayStation will be less about hardware and more about Microsoft's and Sony's philosophies about this generation of console games"