KYIV President Volodymyr Zelenskiy said on Thursday Ukrainian troops were holding their ground in the eastern town of

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

FRANKFURT Euro zone banks will repay early another 34.2 billion euros in multi-year loans from the European Central

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People can once again call 999 in an emergency after services were hit by a nationwide technical fault. BT said it had implemented a back-up platform after issues with 999 calls connecting were reported on Sunday morning. Emergency services across the country have confirmed they are able to receive 999 calls again, but some warned they were still experiencing residual difficulties. A spokesperson for BT said: “Early this morning we experienced a problem with the 999 service. “The situation is fast-moving as we fix the problem and our back up platform is now working – so people should call 999 as usual. “We will provide updates as the issue is resolved.” Cheshire Fire and Rescue Service warned of a 30-second delay to connect to 999, while Suffolk Police said its system may not be working to full capacity and urged people to use 999 only in a genuine emergency. The Metropolitan Police said the back-up system was “not as effective at telling us where you are calling from”. “Help us by having the address of the emergency ready,” the force said. “If you don’t know the address, look around for a street name or obvious landmark.” East Midlands Ambulance Service (EMAS) said that if a 999 call was not successful, people should call 111 for urgent medical help instead. Richard Lyne, strategic commander at EMAS, said: “We urge people to seriously consider the alternative services available and if it’s possible to make your own way to a treatment centre. “For example, if a relative or friend can take you by car.” Problems with the service, which is managed by BT, were first reported at around 8.30am on Sunday and people were told to call 101 in an emergency for police and fire, or 111 in a medical emergency. Several police forces and fire and ambulance services said they were facing issues and said BT had reported a “system failure”.

Blac Chyna broke down during her emotional speech as she thanked god and Jesus for the degree granted to her

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Honda Motor said on Friday it was implementing an 11% pay increase for production workers at its U.S.

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The high-powered offense that carried No. 5 Washington for most of the season went mysteriously missing against the Sun Devils