Rudy Noorlander encountered the bear while tracking a deer some hunters had shot down

MEUDON, France--(BUSINESS WIRE)--Aug 22, 2023--

The leader of Lebanon’s Hezbollah group has met with top Hamas and Palestinian Islamic Jihad officials

Zambia has concluded the most difficult part of negotiations to restructure its debt, and sees remaining talks being

Dara Renee shared that she feels grateful to work with Brandy Norwood 'who has changed so many lives for the better' including her own

Back-row forward Kazuki Himeno was on Tuesday named Japan captain for the Rugby World Cup as the Brave Blossoms seek to replicate their impressive performances on...

The Cincinnati Bengals — led by Ja'Marr Chase — disrespected the Cleveland Browns ahead of Sunday's game. In hindsight, maybe silence was the best route.

A three-person tribunal has recommended against the firing of a Georgia teacher who is at risk of being terminated after reading a book about gender identity to her fifth grade class, according to the teacher's attorney.

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

Nigeria forward Ifeoma Onumonu criticised a lack of support from the country’s football federation after the Super Falcons were knocked out of the Women’s World Cup by England on penalties, revealing that players sometimes have to share beds at their training base back home due to insufficient resources. Nigeria were eliminated from the World Cup after a heartbreaking penalty shoot-out defeat to the Lionesses but were the better team in large spells against the European champions, who held on to a goalless draw following Lauren James’ red card late in normal time. Nigeria’s build-up to the World Cup was disrupted by a pay dispute, with the team’s American manager Randy Waldrum revealing before the tournament that some players had not been paid in two years by the Nigeria Football Federation (NFF). Onumonu went further after the defeat to the Lionesses and said that although Nigeria could take pride from competing against one of the best teams in the world, the Super Falcons were being held back by a lack of resources compared to their European counterparts. “I’ve seen what England have access to,” Onumonu said, as reported by the Guardian. “In Nigeria we don’t have access to much. Our training fields aren’t great. Where we sleep isn’t great. Sometimes we share beds. It’s not good enough. In terms of recovery, we don’t have much of any of that. We don’t have access to a gym in camp in Nigeria. “There’s a lot that needs to be done. Hopefully more people start to talk about it. Coming here it’s hard to adjust. We do what we can because we love playing for our country but hopefully they make it easier for us to do our best. “[Back home] the [pitches] aren’t great. The grass is rocky, bumps everywhere. The stadium we play on for qualifying… you’d be surprised, I was surprised. You don’t even know where the ball is going to jump at you. “Our under‑20s went far in their World Cup and when they were sent home they were sleeping in airports for 24 hours. That’s not acceptable. What we have to fight for is bigger for us.” The Women’s World Cup has been defined by shocks and countries such as Nigeria, Jamaica and South Africa have upset the odds to surprise teams who are backed by far bigger budgets. It has drawn attention to the lack of funding that teams have had to overcome, with Jamaica reaching the last-16 after having to rely on crowd-funding campaigns to make to travel to the World Cup in Australia and New Zealand, while South Africa’s players only called off a strike after a billionaire made a donation to support the team. “We’re on the rise and it’s growing,” Onumonu said. “A lot of people don’t watch as much as they do in Europe and so underestimate who we are, what we are capable of. No one believed in us and now a lot of people are. “Other teams are catching up and growing, including us. There’s no longer going to be that one team that you are absolutely going to say they’re going to win. Every game will become a battle. Every game has become important. “As women start to play more internationals and at clubs, more and more teams are going to catch up. There’s a shift. A lot more are coming.” Read More Women’s World Cup TV schedule: How to watch every match today England’s heroic penalty takers saved Lauren James from sporting ignominy The Sam Kerr mystery is over and Australia are World Cup contenders again Chloe Kelly: England’s woman for the biggest occasion strikes again A timeline of Donald Trump’s spat with Megan Rapinoe

People bashed Bronny James for not picking a Black girl and accused his girlfriend Peyton Gelfuso of being with him for his money

Sharing a personal image, Dillon Danis claimed that Logan and Jake Paul's receding hairlines are due to their alleged use of steroids