An economic watchdog warns "significant immigration" of construction workers could be needed to address a housing shortage in the Republic of Ireland.

Here's a breakdown of when the Valorant Champions 2022 Phantom will leave the Store.

The veteran actor will soon be seen in ‘Indiana Jones and the Dial of Destiny’ which will release on June 30

It is a "magical day", says the president, as the four siblings are found after 40 days missing.

Struggling Hertha Berlin face an uncertain future despite a decision to allow postponed repayment of a high-interest loan, which effectively ensured a German FA...

FIFA has banned former Spanish Football Association president Luis Rubiales from all football-related activity for three years. Rubiales kissed Jenni Hermoso on the lips during the trophy presentation following Spain’s victory over England in the World Cup final on August 20, but Hermoso said the kiss was not consensual. While Rubiales initially attempted to carry on in his role, he subsequently resigned last month and has now been punished for a breach of article 13 of the FIFA Disciplinary Code. “The FIFA Disciplinary Committee has banned Luis Rubiales, the former president of the Spanish Football Association (RFEF), from all football-related activities at national and international levels for three years, having found that he acted in breach of article 13 of the FIFA Disciplinary Code,” a statement read. “This case relates to the events that occurred during the final of the FIFA Women’s World Cup on 20 August 2023, for which Mr Rubiales had been provisionally suspended for an initial period of 90 days. “Mr Rubiales has been notified of the terms of the FIFA Disciplinary Committee’s decision today. “In accordance with the relevant provisions of the FIFA Disciplinary Code, he has 10 days in which to request a motivated decision, which, if requested, would subsequently be published on legal.fifa.com. The decision remains subject to a possible appeal before the FIFA Appeal Committee. “FIFA reiterates its absolute commitment to respecting and protecting the integrity of all people and ensuring that the basic rules of decent conduct are upheld.”

NBC’s buzzy new drama Found opens with a scenario we know all too well. A white girl is missing, and the news crews are lined up, breathlessly reporting every detail in a relentless effort to bring her home. Conversely, a Black girl who has also disappeared at the same time in the same city is largely ignored, silently begging for the decency of attention instead of apathy and the same communal and police support as her peer. Enter: Gabi Mosely. Played by the inimitable Shanola Hampton (Shameless), Gabi is Olivia Pope for the missing and marginalized. She’s a PR wizard leading a crisis management team who can stand in front of a press scrum and deliver an impassioned speech as easily as she stands up to a bigoted police chief. Once a missing person herself, Gabi is uniquely suited to strut into a seemingly hopeless setup and save the day. The catch: she’s harboring a devastating secret of her own.

France’s finance minister said talks with officials in China this weekend were positive and called for Chinese companies

Detroit Lions coach Dan Campbell made some aggressive and conservative decisions in a 37-31 overtime loss to Seattle on Sunday

The Piercefield-Holmes family from Suffolk say it has been "almost apocalyptic" amid wildfires in Rhodes.

Elden Ring DLC and new titles in the Armored Core and Tekken series appeared in an alleged ransomware hack of Bandai Namco.

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