{"id":23433,"date":"2025-05-05T09:28:44","date_gmt":"2025-05-05T09:28:44","guid":{"rendered":"https:\/\/site.itshrt.com\/worldnews\/a-i-hallucinations-are-getting-worse-even-as-new-systems-become-more-powerful\/"},"modified":"2025-05-05T09:28:44","modified_gmt":"2025-05-05T09:28:44","slug":"a-i-hallucinations-are-getting-worse-even-as-new-systems-become-more-powerful","status":"publish","type":"post","link":"https:\/\/site.itshrt.com\/worldnews\/a-i-hallucinations-are-getting-worse-even-as-new-systems-become-more-powerful\/","title":{"rendered":"A.I. Hallucinations Are Getting Worse, Even as New Systems Become More Powerful"},"content":{"rendered":"<p> <script async src=\"https:\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-6606220950177433\"\r\n     crossorigin=\"anonymous\"><\/script>\r\n<!-- ItShrt World News -->\r\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block\"\r\n     data-ad-client=\"ca-pub-6606220950177433\"\r\n     data-ad-slot=\"1882483372\"\r\n     data-ad-format=\"auto\"\r\n     data-full-width-responsive=\"true\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\r\n<br \/>\n<\/p>\n<div data-testid=\"companionColumn-0\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">Last month, an A.I. bot that handles tech support for Cursor, <a class=\"css-yywogo\" href=\"https:\/\/www.cursor.com\/\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">an up-and-coming tool for computer programmers<\/a>, alerted several customers about a change in company policy. It said they were no longer allowed to use Cursor on more than just one computer.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">In angry posts to <a class=\"css-yywogo\" href=\"https:\/\/news.ycombinator.com\/item?id=43683012\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">internet message boards<\/a>, the customers complained. Some canceled their Cursor accounts. And some got even angrier when they realized what had happened: The A.I. bot had announced a policy change that did not exist.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">\u201cWe have no such policy. You\u2019re of course free to use Cursor on multiple machines,\u201d the company\u2019s chief executive and co-founder, Michael Truell, <a class=\"css-yywogo\" href=\"https:\/\/old.reddit.com\/r\/cursor\/comments\/1jyy5am\/psa_cursor_now_restricts_logins_to_a_single\/\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">wrote<\/a> in a Reddit post. \u201cUnfortunately, this is an incorrect response from a front-line A.I. support bot.\u201d<\/p>\n<p class=\"css-at9mc1 evys1bk0\">More than two years after <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2022\/12\/10\/technology\/ai-chat-bot-chatgpt.html\" title=\"\">the arrival of ChatGPT<\/a>, tech companies, office workers and everyday consumers are using A.I. bots for an increasingly wide array of tasks. But there is still <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2023\/05\/01\/business\/ai-chatbots-hallucination.html\" title=\"\">no way of ensuring that these systems produce accurate information<\/a>.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-1\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">The newest and most powerful technologies \u2014 so-called <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2025\/03\/26\/technology\/ai-reasoning-chatgpt-deepseek.html\" title=\"\">reasoning systems<\/a> from companies like OpenAI, Google and the Chinese start-up DeepSeek \u2014 are generating more errors, not fewer. As their math skills have notably improved, their handle on facts has gotten shakier. It is not entirely clear why.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Today\u2019s A.I. bots are based on <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2018\/03\/06\/technology\/google-artificial-intelligence.html\" title=\"\">complex mathematical systems<\/a> that learn their skills by analyzing enormous amounts of digital data. They do not \u2014 and cannot \u2014 decide what is true and what is false. Sometimes, they just make stuff up, a phenomenon some A.I. researchers call hallucinations. On one test, the hallucination rates of newer A.I. systems were as high as 79 percent.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">These systems use mathematical probabilities to guess the best response, not a strict set of rules defined by human engineers. So they make a certain number of mistakes. \u201cDespite our best efforts, they will always hallucinate,\u201d said Amr Awadallah, the chief executive of Vectara, a start-up that builds A.I. tools for businesses, and a former Google executive. \u201cThat will never go away.\u201d<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-2\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">For several years, this phenomenon has raised concerns about the reliability of these systems. Though they are useful in some situations \u2014 like <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2023\/01\/16\/technology\/chatgpt-artificial-intelligence-universities.html\" title=\"\">writing term papers<\/a>, summarizing office documents and <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2021\/09\/09\/technology\/codex-artificial-intelligence-coding.html\" title=\"\">generating computer code<\/a> \u2014 their mistakes can cause problems.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-3\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">The A.I. bots tied to search engines like Google and Bing sometimes generate search results that are laughably wrong. If you ask them for a good marathon on the West Coast, they might suggest a race in Philadelphia. If they tell you the number of households in Illinois, they might cite a source that does not include that information.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Those hallucinations may not be a big problem for many people, but it is a serious issue for anyone using the technology with court documents, medical information or sensitive business data.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">\u201cYou spend a lot of time trying to figure out which responses are factual and which aren\u2019t,\u201d said Pratik Verma, co-founder and chief executive of <a class=\"css-yywogo\" href=\"https:\/\/www.okahu.ai\/\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">Okahu<\/a>, a company that helps businesses navigate the hallucination problem. \u201cNot dealing with these errors properly basically eliminates the value of A.I. systems, which are supposed to automate tasks for you.\u201d<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Cursor and Mr. Truell did not respond to requests for comment.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">For more than two years, companies like OpenAI and Google steadily improved their A.I. systems and reduced the frequency of these errors. But with the use of new <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2025\/03\/26\/technology\/ai-reasoning-chatgpt-deepseek.html\" title=\"\">reasoning systems<\/a>, errors are rising. The latest OpenAI systems hallucinate at a higher rate than the company\u2019s previous system, according to the company\u2019s own tests.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">The company found that o3 \u2014 its most powerful system \u2014 hallucinated 33 percent of the time when running its PersonQA benchmark test, which involves answering questions about public figures. That is more than twice the hallucination rate of OpenAI\u2019s previous reasoning system, called o1. The new o4-mini hallucinated at an even higher rate: 48 percent.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-4\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">When running another test called SimpleQA, which asks more general questions, the hallucination rates for o3 and o4-mini were 51 percent and 79 percent. The previous system, o1, hallucinated 44 percent of the time.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-5\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\"><a class=\"css-yywogo\" href=\"https:\/\/cdn.openai.com\/pdf\/2221c875-02dc-4789-800b-e7758f3722c1\/o3-and-o4-mini-system-card.pdf\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">In a paper detailing the tests<\/a>, OpenAI said more research was needed to understand the cause of these results. Because A.I. systems learn from more data than people can wrap their heads around, technologists struggle to determine why they behave in the ways they do.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">\u201cHallucinations are not inherently more prevalent in reasoning models, though we are actively working to reduce the higher rates of hallucination we saw in o3 and o4-mini,\u201d a company spokeswoman, Gaby Raila, said. \u201cWe\u2019ll continue our research on hallucinations across all models to improve accuracy and reliability.\u201d<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Hannaneh Hajishirzi, a professor at the University of Washington and a researcher with the Allen Institute for Artificial Intelligence, is part of a team that recently devised a way of tracing a system\u2019s behavior back to the <a class=\"css-yywogo\" href=\"https:\/\/allenai.org\/blog\/olmotrace\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">individual pieces of data it was trained on<\/a>. But because systems learn from so much data \u2014 and because they can generate almost anything \u2014 this new tool can\u2019t explain everything. \u201cWe still don\u2019t know how these models work exactly,\u201d she said.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-6\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">Tests by independent companies and researchers indicate that hallucination rates are also rising for reasoning models from companies such as Google and DeepSeek.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Since late 2023, Mr. Awadallah\u2019s company, Vectara, has <a class=\"css-yywogo\" href=\"https:\/\/github.com\/vectara\/hallucination-leaderboard\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">tracked how often chatbots veer from the truth<\/a>. The company asks these systems to perform a straightforward task that is readily verified: Summarize specific news articles. Even then, chatbots persistently invent information.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Vectara\u2019s original research estimated that in this situation chatbots made up information at least 3 percent of the time and sometimes as much as 27 percent.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">In the year and a half since, companies such as OpenAI and Google pushed those numbers down into the 1 or 2 percent range. Others, such as the San Francisco start-up Anthropic, hovered around 4 percent. But hallucination rates on this test have risen with reasoning systems. DeepSeek\u2019s reasoning system, R1, hallucinated 14.3 percent of the time. OpenAI\u2019s o3 climbed to 6.8.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">(The New York Times has <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2023\/12\/27\/business\/media\/new-york-times-open-ai-microsoft-lawsuit.html\" title=\"\">sued<\/a> OpenAI and its partner, Microsoft, accusing them of copyright infringement regarding news content related to A.I. systems. OpenAI and Microsoft have denied those claims.)<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<div data-testid=\"companionColumn-7\">\n<div class=\"css-53u6y8\">\n<p class=\"css-at9mc1 evys1bk0\">For years, companies like OpenAI relied on a simple concept: The more internet data they fed into their A.I. systems, <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2024\/04\/06\/technology\/tech-giants-harvest-data-artificial-intelligence.html\" title=\"\">the better those systems would perform<\/a>. But they <a class=\"css-yywogo\" href=\"https:\/\/www.nytimes.com\/2024\/12\/19\/technology\/artificial-intelligence-data-openai-google.html\" title=\"\">used up just about all the English text on the internet<\/a>, which meant they needed a new way of improving their chatbots.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">So these companies are leaning more heavily on a technique that scientists call reinforcement learning. With this process, a system can learn behavior through trial and error. It is working well in certain areas, like math and computer programming. But it is falling short in other areas.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">\u201cThe way these systems are trained, they will start focusing on one task \u2014 and start forgetting about others,\u201d said Laura Perez-Beltrachini, a researcher at the University of Edinburgh who is among a <a class=\"css-yywogo\" href=\"https:\/\/arxiv.org\/abs\/2404.05904\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">team closely examining the hallucination problem<\/a>.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">Another issue is that reasoning models are designed to spend time \u201cthinking\u201d through complex problems before settling on an answer. As they try to tackle a problem step by step, they run the risk of hallucinating at each step. The errors can compound as they spend more time thinking.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">The latest bots reveal each step to users, which means the users may see each error, too. Researchers have also found that in many cases, the steps displayed by a bot are <a class=\"css-yywogo\" href=\"https:\/\/www.anthropic.com\/research\/reasoning-models-dont-say-think\" title=\"\" rel=\"noopener noreferrer\" target=\"_blank\">unrelated to the answer it eventually delivers<\/a>.<\/p>\n<p class=\"css-at9mc1 evys1bk0\">\u201cWhat the system says it is thinking is not necessarily what it is thinking,\u201d said Aryo Pradipta Gema, an A.I. researcher at the University of Edinburgh and a fellow at Anthropic.<\/p>\n<\/div>\n<aside class=\"css-ew4tgv\" aria-label=\"companion column\"\/><\/div>\n<p><script async src=\"https:\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-6606220950177433\"\r\n     crossorigin=\"anonymous\"><\/script>\r\n<!-- ItShrt World News -->\r\n<ins class=\"adsbygoogle\"\r\n     style=\"display:block\"\r\n     data-ad-client=\"ca-pub-6606220950177433\"\r\n     data-ad-slot=\"1882483372\"\r\n     data-ad-format=\"auto\"\r\n     data-full-width-responsive=\"true\"><\/ins>\r\n<script>\r\n     (adsbygoogle = window.adsbygoogle || []).push({});\r\n<\/script>\r\n<br \/>\n<br \/><a href=\"https:\/\/www.nytimes.com\/2025\/05\/05\/technology\/ai-hallucinations-chatgpt-google.html\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Last month, an A.I. bot that handles tech support for Cursor, an up-and-coming tool for computer programmers, alerted several customers<\/p>\n","protected":false},"author":1,"featured_media":23434,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[39],"tags":[793,213,123,771,214,268,6835],"class_list":["post-23433","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-anthropic-ai-llc","tag-artificial-intelligence","tag-computers-and-the-internet","tag-deepseek-artificial-intelligence-co-ltd","tag-openai-labs","tag-research","tag-vectara-inc"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A.I. Hallucinations Are Getting Worse, Even as New Systems Become More Powerful - World News<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/site.itshrt.com\/worldnews\/a-i-hallucinations-are-getting-worse-even-as-new-systems-become-more-powerful\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A.I. 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