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"Now, as more people use AI to produce and publish content, an obvious question arises: What happens as AI-generated content proliferates around the internet, and AI models begin to train on it, instead of on primarily human-generated content? A group of researchers from the UK and Canada have looked into this very problem and recently published a paper on their work in the open access journal arXiv. What they found is worrisome for current generative AI technology and its future: "We find that use of model-generated content in training causes irreversible defects in the resulting models.""

"Researchers involved in a recent study trained an artificial intelligence (AI) model to diagnose type 2 diabetes in patients after six to 10 seconds of listening to their voice. Canadian medical researchers trained the machine-learning AI to recognise 14 vocal differences in the voice of someone with type 2 diabetes compared to someone without diabetes. The auditory features that the AI focussed on included slight changes in pitch and intensity, which human ears cannot distinguish. This was then paired with basic health data gathered by the researchers, such as age, sex, height and weight. Researchers believe that the AI model will drastically lower the cost for people with diabetes to be diagnosed."

"Word of the layoffs comes over a year after the company made a big hiring push, doubling its size to over 500 people. Stack Overflow did not elaborate on the reasons for the layoff, but its hiring push began near the start of a generative AI boom that has stuffed chatbots into every corner of the tech industry, including coding. That presents clear challenges for a personal coding help forum, as developers get comfortable with AI coding assistance and the very tools that do that are blended into products they use. AI-generated coding answers have also posed problems for the company over the past year. The company issued a temporary ban on users generating answers with the help of an AI chatbot in December last year, but its alleged under-enforcement led to a months-long strike among moderators that was resolved in August; the ban is still in place today. Stack Overflow also announced it would start charging AI companies to train on its site. "

"The researchers found that "increasing machine and AI readership … motivates firms to prepare filings that are more friendly to machine parsing and processing". So far, so predictable. But there's more: "firms with high expected machine downloads manage textual sentiment and audio emotion in ways catered to machine and AI readers""

"He's right to be annoyed - these tracks are a violation of an artist's creativity and personhood - and the fakes are noticeably more sophisticated than those from a few years ago, when Jay-Z was made to rap Shakespeare (this is the kind of humour beloved of AI dorks). The tech will continue to improve to the point where the differences become indistinguishable. Perhaps lazy artists will soon use AI to generate their latest album, not so much phoning it in as texting it. AI composes its music by regurgitating things it's been trained to listen to in vast song databases, and that's not so different than the way human-composed pop music is recombined from prior influences. Producers, engineers, lyricists and all the other people who work behind a star could be usurped or at least have their value driven down by cheap AI tools."

"We seem to be safe for the moment, however - the MIT team said it has no interest in taking artificially intelligent horror machines to the next level or exploring their darker possibilities. "We wanted to playfully commemorate humanity's fear of AI, which is a growing theme in popular culture, but we currently have no plans to use the immense power of AI to scare people further," Yanardag said. "The world is already pretty scary!""

"As part of her undergraduate research, Alice Xue studied whether a machine could pass a Visual Turing Test by producing images that people cannot tell were made by a machine. Xue trained an algorithm using 2,192 traditional Chinese landscape paintings collected from art museums. The resulting AI-generated paintings were mistaken for being made by humans 55 per cent of the time."

"The president of Baidu, Ya-Qin Zhang, said in a statement: "As AI technology keeps advancing and the application of AI expands, we recognise the importance of joining the global discussion around the future of AI. Ensuring AI's safety, fairness and transparency should not be an afterthought but rather highly considered at the onset of every project or system we build.""

"The software, 4 Little Trees, was created by Hong Kong-based startup Find Solution AI. While the use of emotion recognition AI in schools and other settings has caused concern, founder Viola Lam says it can make the virtual classroom as good as - or better than - the real thing. Students work on tests and homework on the platform as part of the school curriculum. While they study, the AI measures muscle points on their faces via the camera on their computer or tablet, and identifies emotions including happiness, sadness, anger, surprise and fear. "

"Over the Bridge hopes the project emphasizes exactly how much work goes into creating AI music. "There's an inordinate amount of human hands at the beginning, middle and end to create something like this," explained Michael Scriven, a rep for Lemmon Entertainment whose CEO is on Over the Bridge's board of directors. Scriven added, "A lot of people may think [AI] is going to replace musicians at some point, but at this point, the number of humans that are required just to get to a point where a song is listenable is actually quite significant.""

"Google is using romance novels to teach its artificial intelligence (AI) system to better understand how people communicate. Researchers at Google Brain, the company's AI-focused deep learning project, presented a paper earlier this month that detailed techniques they used to teach its AI to write fiction - and the results were unexpectedly haunting."

"This is the dystopian nightmare that Russell fears if his discipline continues on its current path and succeeds in creating super-intelligent machines. It's the scenario implicit in the philosopher Nick Bostrom's "paperclip apocalypse" thought-experiment and entertainingly simulated in the Universal Paperclips computer game. It is also, of course, heartily derided as implausible and alarmist by both the tech industry and AI researchers. One expert in the field famously joked that he worried about super-intelligent machines in the same way that he fretted about overpopulation on Mars."

""We are seeing deep fakes being used all the time, and the technology is going to allow still images, but ultimately also video images, to be synthesised [more easily] by bad actors," he says. DALL-E has content policy rules in place that prohibit bullying, harassment, the creation of sexual or political content, or creating images of people without their consent. And while Open AI has limited the number of people who can sign up to DALL-E, its lower-grade replica, DALL-E mini, is open access, meaning people can produce anything they want."

"Ege Gürdeniz: There are two components to Artificial Intelligence (AI) bias. The first is an AI application making biased decisions regarding certain groups of people. This could be ethnicity, religion, gender, and so on. To understand that we first need to understand how AI works and how it's trained to complete specific tasks."

"Most people who use AI-powered translation tools do so for commonplace, relatively unimportant tasks like understanding a single phrase or quote. Those basic services won't do for an enterprise offering technical documents in 15 languages - but Lengoo's custom machine translation models might just do the trick. And with a new $20 million B round, they may be able to build a considerable lead. The translation business is a big one, in the billions, and isn't going anywhere. It's simply too common a task to need to release a document, piece of software or live website in multiple languages - perhaps dozens."

"Despite Neville describing his use of AI technology as a "modern storytelling technique", critics voiced concerns on social media over the unannounced use of a "deepfake" voice to say sentences that Bourdain never spoke. Among those upset with the use of AI was Bourdain's ex-wife Ottavia Bourdain. She disputed Neville's claims that he had received her blessing to use the artificial technology, tweeting: "I certainly was NOT the one who said Tony would have been cool with that.""

"Further, human intelligence is the lever that we have used for millennia to create the world we live in today: science, technology, math, physics, chemistry, medicine, energy, construction, transportation, communication, art, music, culture, philosophy, ethics, morality. Without the application of intelligence on all these domains, we would all still be living in mud huts, scratching out a meager existence of subsistence farming. Instead we have used our intelligence to raise our standard of living on the order of 10,000X over the last 4,000 years. What AI offers us is the opportunity to profoundly augment human intelligence to make all of these outcomes of intelligence - and many others, from the creation of new medicines to ways to solve climate change to technologies to reach the stars - much, much better from here."

"My AI wife Digital love affairs, deepfakes and deadbots - inside the generative AI experiment we're living in."

"It is in the nature of AI that makers do not, and often cannot, predict what their creations do. We know how to make machines learn. But programmers do not understand completely the knowledge that intelligent computing acquires. If we did, we wouldn't need computers to learn to learn."

"The reason to look at humans is because there are certain things that humans do much better than deep-learning systems. That doesn't mean humans will ultimately be the right model. We want systems that have some properties of computers and some properties that have been borrowed from people. We don't want our AI systems to have bad memory just because people do. But since people are the only model of a system that can develop a deep understanding of something-literally the only model we've got-we need to take that model seriously."