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

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SYDNEY--(BUSINESS WIRE)--Aug 16, 2023--

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Donald Trump has gone on a bizarre rant about offshore wind turbines, claiming they are driving whales “a little batty” and killing them “in numbers never seen before”. The former US President made the claim, which is rooted in a climate sceptic conspiracy theory, at a rally in South Carolina this week. There, he was taking aim at President Joe Biden’s regulations to impose speed limits on speed boats, vowing to overturn the rules on “day one” should he be voted in. Trump told the South Carolina crowd that the “Biden speed limit” would “demolish the charter fishing business, crush boat manufacturers and desecrate your cherished Low Country traditions.” That was when he got sidetracked by whales and wind turbines, or “windmills”, as he prefers to call them. “The windmills are driving them crazy. They’re driving the whales a little batty. And they are washing up on shore in levels never seen before.” It comes days after Trump praised Rishi Sunak for rolling back several key UK climate change promises. He congratulated the Prime Minister for “recognising this SCAM before it was too late”. As for this week's speech, it isn't the first time Trump has gone to war with wind turbines. In 2019, he suggested that wind turbines cause cancer, which is a lie. Months later, he attacked renewable energy again, suggesting that wind power doesn’t work when it’s not windy. This is also untrue. Wind-powered electricity supply isn’t affected by wind not blowing all the time because energy is stored for when it's needed. The US Department of Energy website even says that it's not a problem. At Trump's South Carolina rally, he was likely trying to appeal to a vocal community of misinformed protestors. In February, thousands of people gathered at New Jersey’s Point Pleasant beach to demand authorities pause offshore wind projects in response to recent whale deaths. Since 2023, 10 whales have washed ashore on the New York and New Jersey coastlines. Conspiracy theorists claim the noise created by wind turbines has been messing with the whales’ navigation systems. The National Oceanic and Atmospheric Administration has called the deaths “unusual mortality events”, and said there is no link between the wind turbines and whale deaths. “It’s just a cynical disinformation campaign,” Greenpeace oceans director John Hocevar told to USA Today. That’s hardly going to stop former President Trump though, is it? 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.

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