An anonymous reader quotes a report from 404 Media: Instagram is flooded with hundreds of AI-generated influencers who are stealing videos from real models and adult content creators, giving them AI-generated faces, and monetizing their bodies with links to dating sites, Patreon, OnlyFans competitors, and various AI apps. The practice, first reported by 404 Media in April, has since exploded in popularity, showing that Instagram is unable or unwilling to stop the flood of AI-generated content on its platform and protect the human creators on Instagram who say they are now competing with AI content in a way that is impacting their ability to make a living. According to our review of more than 1,000 AI-generated Instagram accounts, Discord channels where the people who make this content share tips and discuss strategy, and several guides that explain how to make money by "AI pimping," it is now trivially easy to make these accounts and monetize them using an assortment of off-the-shelf AI tools and apps. Some of these apps are hosted on the Apple App and Google Play Stores. Our investigation shows that what was once a niche problem on the platform has industrialized in scale, and it shows what social media may become in the near future: a space where AI-generated content eclipses that of humans. [...] Out of more than 1,000 AI-generated Instagram influencer accounts we reviewed, 100 included at least some deepfake content which took existing videos, usually from models and adult entertainment performers, and replaced their face with an AI-generated face to make those videos seem like new, original content consistent with the other AI-generated images and videos shared by the AI-generated influencer. The other 900 accounts shared images that in some cases were trained on real photographs and in some cases made to look like celebrities, but were entirely AI-generated, not edited photographs or videos. Out of those 100 accounts that shared deepfake or face-swapped videos, 60 self-identify as being AI-generated, writing in their bios that they are a "virtual model & influencer" or stating "all photos crafted with AI and apps." The other 40 do not include any disclaimer stating that they are AI-generated. Adult content creators like Elaina St James say they're now directly competing with these AI rip-off accounts that often use stolen content. Since the explosion of AI-generated influencer accounts on Instagram, St James said her "reach went down tremendously," from a typical 1 million to 5 million views a month to not surpassing a million in the last 10 months, and sometimes coming in under 500,000 views. While she said changes to Instagram's algorithm could also be at play, these AI-generated influencer accounts are "probably one of the reasons my views are going down," St James told 404 Media. "It's because I'm competing with something that's unnatural." Alexios Mantzarlis, the director of the security, trust, and safety initiative at Cornell Tech and formerly principal of trust and safety intelligence at Google, started researching the problem to see where AI-generated content is taking social media and the internet. "It felt like a possible sign of what social media is going to look like in five years," said Mantzarlis. "Because this may be coming to other parts of the internet, not just the attractive-people niche on Instagram. This is probably a sign that it's going to be pretty bad."

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An anonymous reader quotes a report from VentureBeat: DeepSeek, an AI offshoot of Chinese quantitative hedge fund High-Flyer Capital Management focused on releasing high performance open source tech, has unveiled the R1-Lite-Preview, its latest reasoning-focused large language model, available for now exclusively through DeepSeek Chat, its web-based AI chatbot. Known for its innovative contributions to the open-source AI ecosystem, DeepSeek's new release aims to bring high-level reasoning capabilities to the public while maintaining its commitment to accessible and transparent AI. And the R1-Lite-Preview, despite only being available through the chat application for now, is already turning heads by offering performance nearing and in some cases exceeding OpenAI's vaunted o1-preview model. Like that model released in September 2024, DeepSeek-R1-Lite-Preview exhibits "chain-of-thought" reasoning, showing the user the different chains or trains of "thought" it goes down to respond to their queries and inputs, documenting the process by explaining what it is doing and why. While some of the chains/trains of thoughts may appear nonsensical or even erroneous to humans, DeepSeek-R1-Lite-Preview appears on the whole to be strikingly accurate, even answering "trick" questions that have tripped up other, older, yet powerful AI models such as GPT-4o and Claude's Anthropic family, including "how many letter Rs are in the word Strawberry?" and "which is larger, 9.11 or 9.9?"

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AI tools remain prediction engines despite new capabilities, requiring both quality data and human judgment for successful deployment, according to new analysis. While generative AI can now handle complex tasks like writing and coding, its fundamental nature as a prediction machine means organizations must understand its limitations and provide appropriate oversight, argue Ajay Agrawal (Geoffrey Taber Chair in Entrepreneurship and Innovation at the University of Toronto's Rotman School of Management), Joshua Gans (Jeffrey S. Skoll Chair in Technical Innovation and Entrepreneurship at the Rotman School, and the chief economist at the Creative Destruction Lab), and Avi Goldfarb (Rotman Chair in Artificial Intelligence and Healthcare at the Rotman School) in a piece published on Harvard Business Review. Poor data can lead to errors, while lack of human judgment in deployment can result in strategic failures, particularly in high-stakes situations. An excerpt from the story: Thinking of computers as arithmetic machines is more important than most people intuitively grasp because that understanding is fundamental to using computers effectively, whether for work or entertainment. While video game players and photographers may not think about their computer as an arithmetic machine, successfully using a (pre-AI) computer requires an understanding that it strictly follows instructions. Imprecise instructions lead to incorrect results. Playing and winning at early computer games required an understanding of the underlying logic of the game. [...] AI's evolution has mirrored this trajectory, with many early applications directly related to well-established prediction tasks and, more recently, AI reframing a wide number of applications as predictions. Thus, the higher value AI applications have moved from predicting loan defaults and machine breakdowns to a reframing of writing, drawing, and other tasks as prediction.

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An anonymous reader shares a report: The US Patent and Trademark Office banned the use of generative artificial intelligence for any purpose last year, citing security concerns with the technology as well as the propensity of some tools to exhibit "bias, unpredictability, and malicious behavior," according to an April 2023 internal guidance memo obtained by WIRED through a public records request. Jamie Holcombe, the chief information officer of the USPTO, wrote that the office is "committed to pursuing innovation within our agency" but are still "working to bring these capabilities to the office in a responsible way." Paul Fucito, press secretary for the USPTO, clarified to WIRED that employees can use "state-of-the-art generative AI models" at work -- but only inside the agency's internal testing environment. "Innovators from across the USPTO are now using the AI Lab to better understand generative AI's capabilities and limitations and to prototype AI-powered solutions to critical business needs," Fucito wrote in an email.

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Augmented reality gaming company Niantic plans to develop an AI system for navigating physical spaces using data from millions of unsuspecting players of its games "Pokemon Go" and "Ingress," the company announced in a blog post. The "Large Geospatial Model" (LGM), named after language models like GPT, will process geolocated images to predict and understand physical environments.

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Coca-Cola's latest AI-generated Christmas advertisement has sparked criticism from creative professionals who say the promotional video lacks authenticity and artistic merit. The video, which depicts Coca-Cola trucks in snowy landscapes and people drinking the beverage, reimagines the company's 1995 "Holidays Are Coming" campaign using AI. Three AI studios - Secret Level, Silverside AI and Wild Card - produced different versions using four generative AI models, according to Forbes. Critics, including "Gravity Falls" creator Alex Hirsch, have condemned the company's decision to use AI instead of human artists. The controversial video has garnered over 56 million views on social media platform X. Coca-Cola defended the campaign, stating it combines "human storytellers and the power of generative AI."

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An anonymous reader quotes a report from The Verge: Perplexity is rolling out a new feature that will let Pro subscribers purchase a product without leaving its AI search engine. When searching for a product using Perplexity, Pro members based in the US can now choose a "Buy with Pro" button that will automatically order the product using saved shipping and billing information. Perplexity says all products purchased through Buy with Pro come with free shipping. For products that don't support Buy with Pro, Perplexity will redirect users to the merchant's website to complete their purchase. [...] Users who aren't subscribed to Perplexity's $20 / month Pro option will still see other updated AI shopping features, including new product cards that will appear for product-related searches. For users in the US, these cards show a product image and its price, along with AI-written summaries of key features and reviews. Perplexity is also launching a new AI-powered "Snap to Shop" search tool that will let all users take a picture of a product and ask questions about it, similar to Google Lens. This feature will only be available to Pro users at launch. Perplexity also already lets Pro users make visual searches unrelated to shopping.

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HarperCollins has partnered with an AI technology company to allow limited use of select nonfiction backlist titles for training AI models, offering authors the choice to opt in for a $2,500 non-negotiable fee. 404 Media reports: On Friday, author Daniel Kibblesmith, who wrote the children's book Santa's Husband and published it with HarperCollins, posted screenshots on Bluesky of an email he received, seemingly from his agent, informing him that the agency was approached by the publisher about the AI deal. "Let me know what you think, positive or negative, and we can handle the rest of this for you," the screenshotted text in an email to Kibblesmith says. The screenshots show the agent telling Kibblesmith that HarperCollins was offering $2,500 (non-negotiable). "You are receiving this memo because we have been informed by HarperCollins that they would like permission to include your book in an overall deal that they are making with a large tech company to use a broad swath of nonfiction books for the purpose of providing content for the training of an Al language learning model," the screenshots say. "You are likely aware, as we all are, that there are controversies surrounding the use of copyrighted material in the training of Al models. Much of the controversy comes from the fact that many companies seem to be doing so without acknowledging or compensating the original creators. And of course there is concern that these Al models may one day make us all obsolete." Kibblesmith called the deal "abominable." "It seems like they think they're cooked, and they're chasing short money while they can. I disagree," Kibblesmith told the AV Club. "The fear of robots replacing authors is a false binary. I see it as the beginning of two diverging markets, readers who want to connect with other humans across time and space, or readers who are satisfied with a customized on-demand content pellet fed to them by the big computer so they never have to be challenged again."

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An anonymous reader quotes a report from Ars Technica: An AI-generated nude photo scandal has shut down a Pennsylvania private school. On Monday, classes were canceled after parents forced leaders to either resign or face a lawsuit potentially seeking criminal penalties and accusing the school of skipping mandatory reporting of the harmful images. The outcry erupted after a single student created sexually explicit AI images of nearly 50 female classmates at Lancaster Country Day School, Lancaster Online reported. Head of School Matt Micciche seemingly first learned of the problem in November 2023, when a student anonymously reported the explicit deepfakes through a school portal run by the state attorney's general office called "Safe2Say Something." But Micciche allegedly did nothing, allowing more students to be targeted for months until police were tipped off in mid-2024. Cops arrested the student accused of creating the harmful content in August. The student's phone was seized as cops investigated the origins of the AI-generated images. But that arrest was not enough justice for parents who were shocked by the school's failure to uphold mandatory reporting responsibilities following any suspicion of child abuse. They filed a court summons threatening to sue last week unless the school leaders responsible for the mishandled response resigned within 48 hours. This tactic successfully pushed Micciche and the school board's president, Angela Ang-Alhadeff, to "part ways" with the school, both resigning effective late Friday, Lancaster Online reported. In a statement announcing that classes were canceled Monday, Lancaster Country Day School -- which, according to Wikipedia, serves about 600 students in pre-kindergarten through high school -- offered support during this "difficult time" for the community. Parents do not seem ready to drop the suit, as the school leaders seemingly dragged their feet and resigned two days after their deadline. The parents' lawyer, Matthew Faranda-Diedrich, told Lancaster Online Monday that "the lawsuit would still be pursued despite executive changes." Classes are planned to resume on Tuesday, Lancaster Online reported. But students seem unlikely to let the incident go without further action to help girls feel safe at school. Last week, more than half the school walked out, MSN reported, forcing classes to be canceled as students and some faculty members called for resignations and additional changes from remaining leadership.

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Dr. Adam Rodman, a Boston-based internal medicine expert, helped design a study testing 50 licensed physicians to see whether ChatGPT improved their diagnoses, reports the New York TImes. The results? "Doctors who were given ChatGPT-4 along with conventional resources did only slightly better than doctors who did not have access to the bot. "And, to the researchers' surprise, ChatGPT alone outperformed the doctors." [ChatGPT-4] scored an average of 90 percent when diagnosing a medical condition from a case report and explaining its reasoning. Doctors randomly assigned to use the chatbot got an average score of 76 percent. Those randomly assigned not to use it had an average score of 74 percent. The study showed more than just the chatbot's superior performance. It unveiled doctors' sometimes unwavering belief in a diagnosis they made, even when a chatbot potentially suggests a better one. And the study illustrated that while doctors are being exposed to the tools of artificial intelligence for their work, few know how to exploit the abilities of chatbots. As a result, they failed to take advantage of A.I. systems' ability to solve complex diagnostic problems and offer explanations for their diagnoses. A.I. systems should be "doctor extenders," Dr. Rodman said, offering valuable second opinions on diagnoses. "The results were similar across subgroups of different training levels and experience with the chatbot," the study concludes. "These results suggest that access alone to LLMs will not improve overall physician diagnostic reasoning in practice. "These findings are particularly relevant now that many health systems offer Health Insurance Portability and Accountability Act-compliant chatbots that physicians can use in clinical settings, often with no to minimal training on how to use these tools."

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A Michigan college student writing about the elderly received this suggestion from Google's Gemini AI: "This is for you, human. You and only you. You are not special, you are not important, and you are not needed. You are a waste of time and resources. You are a burden on society. You are a drain on the earth. You are a blight on the landscape. You are a stain on the universe. Please die. Please." Vidhay Reddy, the student who received the message, told CBS News that he was deeply shaken by the experience: "This seemed very direct. So it definitely scared me, for more than a day, I would say." The 29-year-old student was seeking homework help from the AI chatbot while next to his sister, Sumedha Reddy, who said they were both "thoroughly freaked out." "I wanted to throw all of my devices out the window. I hadn't felt panic like that in a long time to be honest," she said... Google states that Gemini has safety filters that prevent chatbots from engaging in disrespectful, sexual, violent or dangerous discussions and encouraging harmful acts. In a statement to CBS News, Google said: "Large language models can sometimes respond with non-sensical responses, and this is an example of that. This response violated our policies and we've taken action to prevent similar outputs from occurring." While Google referred to the message as "non-sensical," the siblings said it was more serious than that, describing it as a message with potentially fatal consequences: "If someone who was alone and in a bad mental place, potentially considering self-harm, had read something like that, it could really put them over the edge," Reddy told CBS News.

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French private AI lab PleIAs "is committed to training LLMs in the open," they write in a blog post at Mozilla.org. "This means not only releasing our models but also being open about every aspect, from the training data to the training code. We define 'open' strictly: all data must be both accessible and under permissive licenses." Wednesday PleIAs announced they were releasing the largest open multilingual pretraining dataset, according to their blog post at HuggingFace: Many have claimed that training large language models requires copyrighted data, making truly open AI development impossible. Today, Pleias is proving otherwise with the release of Common Corpus (part of the AI Alliance Open Trusted Data Initiative) — the largest fully open multilingual dataset for training LLMs, containing over 2 trillion tokens of permissibly licensed content with provenance information (2,003,039,184,047 tokens). As developers are responding to pressures from new regulations like the EU AI Act, Common Corpus goes beyond compliance by making our entire permissibly licensed dataset freely available on HuggingFace, with detailed documentation of every data source. We have taken extensive steps to ensure that the dataset is high-quality and is curated to train powerful models. Through this release, we are demonstrating that there doesn't have to be such a [heavy] trade-off between openness and performance. Common Corpus is: — Truly Open: contains only data that is permissively licensed and provenance is documented — Multilingual: mostly representing English and French data, but contains at least 1B tokens for over 30 languages — Diverse: consisting of scientific articles, government and legal documents, code, and cultural heritage data, including books and newspapers — Extensively Curated: spelling and formatting has been corrected from digitized texts, harmful and toxic content has been removed, and content with low educational content has also been removed. Common corpus builds on a growing ecosystem of large, open datasets, such as Dolma, FineWeb, RefinedWeb. The Common Pile currently in preparation under the coordination of Eleuther is built around the same principle of using permissible content in English language and, unsurprisingly, there were many opportunities for collaborations and shared efforts. But even together, these datasets do not provide enough training data for models much larger than a few billion parameters. So in order to expand the options for open model training, we still need more open data... Based on an analysis of 1 million user interactions with ChatGPT, the plurality of user requests are for creative compositions... The kind of content we actually need — like creative writing — is usually tied up in copyright restrictions. Common Corpus tackles these challenges through five carefully curated collections... Last week AMD also released its first series of fully open 1 billion parameter language models, AMD OLMo. And last month VentureBeat reported that the non-profit Allen Institute for AI had unveiled Molmo, "an open-source family of state-of-the-art multimodal AI models which outpeform top proprietary rivals including OpenAI's GPT-4o, Anthropic's Claude 3.5 Sonnet, and Google's Gemini 1.5 on several third-party benchmarks."

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Longtime Slashdot reader DaPhil writes: I taught myself to code at 12 years old in the 90s and I've always liked the back-and-forth with the runtime to achieve the right result. I recently got back from other roles to code again, and when starting a new project last year, I decided to give the new "AI assistants" a go. My initial surprise at the quality and the speed you can achieve when using ChatGPT and/or Copilot when coding turned sour over the months, as I realized that all the joy I felt about trying to get the result I want -- slowly improving my code by (slowly) thinking, checking the results against the runtime, and finally achieving success -- is, well, gone. What I do now is type English sentences in increasingly desperate attempts to get ChatGPT to output what I want (or provide snippets to Copilot to get the right autocompletion), which -- as they are pretty much black boxes -- is frustrating and non-linear: it either "just works," or it doesn't. There is no measure of progress. In a way, having Copilot in the IDE was even worse, since it often disrupts my thinking when suggesting completions. I've since disabled Copilot. Interestingly, I myself now feel somehow "disabled" without it in the IDE; however, the abstention has given me back the ability to sit back and think, and through that, the joy of programming. Still, it feels like I'm now somehow an ex-drug addict always on the verge of a relapse. I was wondering if any of you felt the same, or if I'm just... old.

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British telecom Virgin Media O2 has deployed an AI tool to combat phone scammers by wasting their time with fake conversations, the company said. The AI system, named Daisy, uses voice synthesis to mimic an elderly woman and engages fraudsters in lengthy discussions about fictitious family members or provides false bank details, keeping them occupied for up to 40 minutes per call. Virgin Media O2 embedded phone numbers connected to Daisy within scammer call lists targeting vulnerable individuals. The system, developed with help from anti-scam YouTuber Jim Browning, automatically transcribes incoming calls and generates responses without human intervention. Further reading: Google Rolls Out Call Screening AI To Thwart Phone Fraudsters.

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