A former NFL officiating pro ruled in favor of the Packers for the controversial non-fumble call in Week 10.

Liverpool have granted Fabinho permission to travel to Saudi Arabia to undergo a medical with Al Ittihad as an agreement over a £40m nears.

Lily-Rose Depp's character on 'The Idol' slammed for smoking every 2 minutes of screentime

PARIS--(BUSINESS WIRE)--Oct 26, 2023--

By Lewis Krauskopf NEW YORK Investors in the coming week will get a look at the state of

As much of the world swelters in record temperatures, spare a thought for Issam Genedi, who ekes out a living washing cars in one of...

Beyond medical bills in the millions and the weight of trauma and grief, mass shooting survivors and their family members contend with scores of changes showing how their lives have been upended by violence

Future generations of artificial intelligence chatbots trained using data from other AIs could lead to a downward spiral of gibberish on the internet, a new study has found. Large language models (LLMs) such as ChatGPT have taken off on the internet, with many users adopting the technology to produce a whole new ecosystem of AI-generated texts and images. But using the output data from such AI systems to further train subsequent generations of AI models could result in “irreversible defects” and junk content, according to a new, yet-to-be peer-reviewed study. AI models like ChatGPT are trained using vast amounts of data pulled across internet platforms that have mostly remained human generated until now. But AI-generated data using such models have a growing presence on the internet. Researchers, including those from the University of Oxford in the UK, attempted to understand what happened when several subsequent generations of AIs are trained off each other. They found the widespread use of LLMs to publish content on the internet on a large scale “will pollute the collection of data to train them” and lead to “model collapse”. “We discover that learning from data produced by other models causes model collapse – a degenerative process whereby, over time, models forget the true underlying data distribution,” scientists wrote in the study, posted as a preprint in arXiv. The new findings suggested there to be a “first mover advantage” when it comes to training LLMs. Scientists liken this change to what happens when AI models are trained on music created by human composers and played by human musicians. The subsequent AI output then trains other models, leading to a diminishing quality of music. With subsequent generations of AI models likely to encounter poorer quality data at their source, they may start misinterpreting information by inserting false information in a process scientists call “data poisoning”. They warned that the scale at which data poisoning can happen drastically changes after the advent of LLMs. Just a few iterations of data can lead to major degradation, even when the original data is preserved, scientists said. And over time, this could lead to mistakes compounding and forcing models that learn from generated data to misunderstand reality. “This in turn causes the model to misperceive the underlying learning task,” researchers said. Scientists cautioned that steps must be taken to label AI-generated content from human-generated ones, along with efforts to preserve original human-made data for future AI training. “To make sure that learning is sustained over a long time period, one needs to make sure that access to the original data source is preserved and that additional data not generated by LLMs remain available over time,” they wrote in the study. “Otherwise, it may become increasingly difficult to train newer versions of LLMs without access to data that was crawled from the Internet prior to the mass adoption of the technology, or direct access to data generated by humans at scale.” Read More ChatGPT ‘grandma exploit’ gives users free keys for Windows 11 Protect personal data when introducing AI, privacy watchdog warns businesses How Europe is leading the world in the push to regulate AI ‘Miracle material’ solar panels to finally enter production Meta reveals new AI that is too powerful to release Reddit user’s protests against the site’s rules have taken an even more bizarre turn

Andrew Tate revealed on Twitter/X that the next guest on his 'Emergency Meeting' podcast will be Lord Miles, a YouTuber known for travelling to dangerous places who was arrested by the Taliban earlier this year. Lord Miles, also known as Miles Routledge, is a 22-year-old student and investment banking intern from Birmingham, UK, who takes part in 'danger tourism', where he travels to dangerous places for fun. Tate announced Routledge would be on his podcast in a recent tweet, calling Routledge "the embodiment of the British spirit of adventure, returning home with stories to tell." Tate's 'Emergency Meeting' podcast is hosted on Rumble, the streaming platform that has signed an exclusive deal with Tate as well as other creators such as Russell Brand and iShowSpeed. Tate often shares his perspectives on global issues on 'Emergency Meeting', as well as offering insights into his life. Perhaps as expected, Tate is known for having guests on the show that align with his ideologies. Routledge was released by the Taliban in June 2023, after being arrested in Afghanistan in March 2023. During his imprisonment updates came from a social media account claiming to be run by a friend of Routledge's. At the time, people thought Routledge was dead or that the whole thing was a scam. The podcast episode was streamed on October 15, during which Routledge shared his experiences with Tate, and Tate revealed that he has been "banned from every banking institution on the planet." Saying that he's on a "politically exposed persons list" and that "because I have expressed opinions on the internet, I'm not allowed to have a bank account anywhere." The pair discussed the Taliban, calling the terrorist group a "form of law and order", with Miles calling his arrest "very professional" and saying he couldn't reveal more for security reasons. Sign up to our free Indy100 weekly newsletter Have your say in our news democracy. Click the upvote icon at the top of the page to help raise this article through the indy100 rankings.

China's top diplomat is a familiar face, known for taking a hard line on those that cross Beijing.

WASHINGTON Five U.S. citizens detained in Iran, who are expected to be swapped for five Iranians imprisoned in

Kevin Cataneo Salazar is being held without bail and is scheduled to next appear in court on November 7 for the preliminary hearing