Their findings are the latest in a growing body of research demonstrating LLMs' powers of persuasion. The authors warn they show how AI tools can craft sophisticated, persuasive arguments if they have even minimal information about the humans they're interacting with. The research has been published in the journal Nature Human Behavior. "Policymakers and online platforms should seriously consider the threat of coordinated AI-based disinformation campaigns, as we have clearly reached the technological level where it is possible to create a network of LLM-based automated accounts able to strategically nudge public opinion in one direction," says Riccardo Gallotti, an interdisciplinary physicist at Fondazione Bruno Kessler in Italy, who worked on the project. "These bots could be used to disseminate disinformation, and this kind of diffused influence would be very hard to debunk in real time," he says.

OpenAI's upcoming GPT-5 release will integrate its o3 reasoning model and be available to free users, CEO Sam Altman revealed in a roadmap he shared on X. He said the company is also working to simplify how users interact with ChatGPT. "We want AI to'just work' for you; we realize how complicated our model and product offerings have gotten," Altman wrote. "We hate the model picker as much as you do and want to return to magic unified intelligence." In its current iteration, forcing ChatGPT to use a specific model, such as o3-mini, involves either tapping the "Reason" button in the prompt bar or one of the options present in the model picker, which appears after the chatbot answers a question.

Artificial intelligence can now create images, novels and source code from scratch. Except it isn't really from scratch, because a vast amount of human-generated examples are needed to train these AI models – something that has angered artists, programmers and writers and led to a series of lawsuits. Hollywood actors are the latest group of creatives to turn against AI. They fear that film studios could take control of their likeness and have them "star" in films without ever being on set, perhaps taking on roles they would rather avoid and uttering lines or acting out scenes they would find distasteful. Worse still, they might not get paid for it.

Fox News Flash top headlines are here. Check out what's clicking on Foxnews.com. Artificial intelligence (AI) could potentially do a better job of screening for heart health than trained sonographers. This is the finding of a study from the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai in Los Angeles, California. In the study, published in the journal Nature, a total of 3,495 heart echocardiograms (ultrasounds) were assessed.

FOX Business correspondent Lydia Hu has the latest on jobs at risk as AI further develops on'America's Newsroom.' The only member of Congress with an advanced degree in artificial intelligence says lawmakers should move slowly to impose new regulations on AI, in part because policymakers and even experts in the field have yet to lay out clear regulatory objectives. Rep. Jay Obernolte, R-Calif., says this deliberate approach is a good thing, despite pressure from high-profile tech leaders to halt AI development until its dangers are better understood. In an interview with Fox News Digital, Obernolte said it makes no sense to start regulating until Congress knows precisely what dangers it's trying to avoid. "Before we can create a regulatory framework around AI, we have to very explicit about what our goals are with our regulation," Obernolte said.

I've just published a story about the first attempt to calculate the broader emissions of one of the most popular AI products right now--large language models--and how it could help nudge the tech sector to do more to clean up its act. AI startup Hugging Face calculated the emissions of its large language model BLOOM, and its researchers found that the training process emitted 25 metric tons of carbon. However, those emissions doubled when they took the wider hardware and infrastructure costs of running the model into account. They published their work in a paper posted on arXiv that's yet to be peer reviewed. The finding in itself isn't hugely surprising, and BLOOM is way "cleaner" than large language models like OpenAI's GPT-3 and Meta's OPT, because it was trained on a French supercomputer powered by nuclear energy. Instead, the significance of this work is that it points to a better way to calculate AI models' climate impact, by going beyond just the training to the way they're used in the real world.

When a person joins an online-dating app, and then starts texting some of the people they've met on that app, and then makes plans to hang out with some of those people in the hopes of making out, they have a reasonable, limited expectation of privacy. Hardly anyone expects what happened to the mythological figure of "West Elm Caleb," a bumbling villain of the New York dating scene and hapless victim of the internet. In January, after a couple of New York women with substantial TikTok followings discovered that they had been dating Caleb simultaneously, it quickly came out that he was guilty of other crimes--sending the same Spotify playlist to multiple people, for instance, and not returning text messages. One woman recalled how he had told her that he found it harder to go on dates in the winter, because of the cold. Pretty soon brands were getting in on the West Elm Caleb conversation, as finding any excuse to talk about this pretty average dater in New York City became engagement-metric gold.

Can robots and workers co-exist? Workers, policymakers, and the media are concerned with the idea that automation, or technological change, will displace millions of American workers--and they are partially right. Andrew Yang, an early 2020 Presidential hopeful is already running on the idea that "the robots are coming" – though the story is not so simple. There have been, and will continue to be, technological breakthroughs that replace workers and reshape our economy. The next big worker-displacing technology is supposedly artificial intelligence (AI), which is thought to have the potential to replace millions of workers performing routine and menial tasks.

California's high poverty rate, low wages and frayed public safety net require a new "social compact" between workers, business and government, according to a report by a blue-ribbon commission that highlights the state's widening inequality. In a report released Monday, the Future of Work Commission, a 21-member body appointed by Gov. Gavin Newsom in August 2019, laid out a grim picture of the challenges facing the world's fifth-largest economy, even as it acknowledged the Golden State's technology leadership, its ethnically and culturally diverse workforce and world-class universities. "Too many Californians have not fully participated in or enjoyed the benefits of the state's broader economic success and the extraordinary wealth generated here, especially workers of color who are disproportionately represented in low-wage industries," the report says. California has the highest poverty rate in the country when accounting for the cost of living, 17.2%, according to the report. Since 2012, wages in the state grew by 14% while home prices increased by 68%.

Decades of technological change have polarized the earnings of the American workforce, helping highly educated white-collar workers thrive, while hollowing out the middle class. Yet present-day advances like robots and artificial intelligence do not spell doom for middle-tier or lower-wage workers, since innovations create jobs as well. With better policies in place, more people could enjoy good careers even as new technology transforms workplaces. The report, "The Work of the Future: Building Better Jobs in an Age of Intelligent Machines," was released today, and the task force is hosting an online conference on Wednesday, the "AI & the Future of Work Congress." At the core of the task force's findings: A robot-driven jobs apocalypse is not on the immediate horizon.