[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-the-most-sophisticated-ais-are-most-likely-to-lie-worrying-research-finds":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":92,"popular_news":158,"categories":228},{"title":72,"description":73,"meta_title":72,"meta_description":73,"meta_keywords":74,"text":75,"slug":76,"created_at":77,"publish_at":78,"formatted_created_at":79,"category_id":46,"links":80,"view_type":84,"video_url":82,"views":85,"likes":86,"lang":87,"comments_count":86,"category":88},"The Most Sophisticated AIs Are Most Likely to Lie, Worrying Research Finds","Beware the smart ones: they seem to have all the answers, but can also weave the most convincing lies.","AI, artificial intelligence, Worrying Research Finds","\u003Cp>Hello!\u003C/p>\n\n\u003Cp>Beware the smart ones\u003Cstrong>:\u003C/strong> they seem to have all the answers, but can also weave the most convincing lies.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-19/mmmmmmmmmmmmmmmm-14.webp\" type=\"image/webp\">\u003Cimg alt=\"The Most Sophisticated AIs Are Most Likely to Lie, Worrying Research Finds\" class=\"image-align-left\" height=\"129\" src=\"https://cdn.quasa.io/photos/foto-19/mmmmmmmmmmmmmmmm-14.jpeg\" width=\"200\" />\u003C/picture>It seems that this logic also applies to large language models, which are becoming more powerful with each iteration.\u003C/p>\n\n\u003Cp>New research suggests that this smarter crop of \u003Ca href=\"https://quasa.io/media/how-does-a-chatbot-help-you-get-to-know-your-customers-ai-chatbot\">AI chatbots\u003C/a> are actually becoming \u003Cem>less\u003C/em> trustworthy, because they're more likely to make up facts rather than avoiding or turning down questions they can't answer.\u003C/p>\n\n\u003Cp>The study, published in the journal \u003Cem>Nature\u003C/em>, examined some of the leading commercial LLMs in the industry: OpenAI's GPT, and Meta's LLaMA, along with an open source model called BLOOM created by the research group BigScience.\u003C/p>\n\n\u003Cp>While it found that their responses are in many cases becoming more accurate, they were across the board less reliable, giving a higher proportion of wrong answers than older models did.\u003C/p>\n\n\u003Cp>"They are answering almost everything these days. And that means more correct, but also more incorrect [answers]," study coauthor José Hernández-Orallo, a researcher at the Valencian Research Institute for Artificial Intelligence in Spain, told \u003Cem>Nature\u003C/em>.\u003C/p>\n\n\u003Cp>Mike Hicks, a philosopher of science and technology at the University of Glasgow, had a harsher assessment.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-19/mmmmmmmmmmmmmmmmmm-2.webp\" type=\"image/webp\">\u003Cimg alt=\"The Most Sophisticated AIs Are Most Likely to Lie, Worrying Research Finds\" class=\"image-align-left\" height=\"225\" src=\"https://cdn.quasa.io/photos/foto-19/mmmmmmmmmmmmmmmmmm-2.jpeg\" width=\"225\" />\u003C/picture>"That looks to me like what we would call bullshitting," Hicks, who was not involved in the study, told \u003Cem>Nature\u003C/em>. "It's getting better at pretending to be knowledgeable."\u003C/p>\n\n\u003Cp>The models were quizzed on topics ranging from math to geography, and were also asked to perform tasks like listing information in a specified order.\u003C/p>\n\n\u003Cp>The bigger, more powerful models gave the most accurate responses overall, but faltered at harder questions, for which they had a lower accuracy.\u003C/p>\n\n\u003Cp>According to the researchers, some of the biggest BS-ers were OpenAI's \u003Ca href=\"https://quasa.io/media/openai-says-it-s-fixed-issue-where-chatgpt-appeared-to-be-messaging-users-unprompted\">GPT-4\u003C/a> and o1, which would answer almost any question thrown at them. But all of the studied LLMs appear to be trending this way, and for the LLaMA family of models, none of them could reach a level of 60 percent accuracy for the easiest questions, the study said.\u003C/p>\n\n\u003Cp>In sum, the bigger the AI models got — in terms of parameters, training data, and other factors — the bigger the percentage of wrong answers they gave.\u003C/p>\n\n\u003Cp>Still, AI models are getting better at answering more complex questions. The problem, other than their propensity for BS-ing, is that they still mess up the easy ones. In theory, these errors should be a bigger red flag, but because we're impressed at how the large language models handle sophisticated problems, we may be overlooking their obvious flaws, the researchers suggest.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-19/mmmmmmmmmmmmmmmmmm-13.webp\" type=\"image/webp\">\u003Cimg alt=\"The Most Sophisticated AIs Are Most Likely to Lie, Worrying Research Finds\" class=\"image-align-left\" height=\"177\" src=\"https://cdn.quasa.io/photos/foto-19/mmmmmmmmmmmmmmmmmm-13.jpeg\" width=\"284\" />\u003C/picture>As such, the work had some sobering implications about how humans perceive the \u003Ca href=\"https://quasa.io/media/how-to-use-artificial-intelligence-ai-for-lead-generation\">AI\u003C/a> responses. When asked to judge if the chatbots' answers were accurate or inaccurate, a select group of participants got it wrong between 10 to 40 percent of the time.\u003C/p>\n\n\u003Cp>The simplest way to combat the issues, according to the researchers, is to program the LLMs to be less eager to answer everything.\u003C/p>\n\n\u003Cp>"You can put a threshold, and when the question is challenging, [get the chatbot to] say, 'no, I don't know,'" Hernández-Orallo told \u003Cem>Nature\u003C/em>.\u003C/p>\n\n\u003Cp>But honesty may not be in the best interests of AI companies looking to woo the public with their fancy tech. If chatbots were reined in to answer only stuff they knew about, it might expose the limits of the technology.\u003C/p>\n\n\u003Cp>Thank you!\u003Cbr />\nJoin us on social media!\u003Cbr />\nSee you!\u003C/p>","the-most-sophisticated-ais-are-most-likely-to-lie-worrying-research-finds","2024-10-02T12:59:41.000000Z","2024-10-02T10:30:00.000000Z","02.10.2024",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":83},"https://cdn.quasa.io/images/news/KndqbyShKHHrGboYnjNfNgzOwUhka3iWe7qRzzKT.webp",null,"https://cdn.quasa.io/thumbs/news-thumb/images/news/KndqbyShKHHrGboYnjNfNgzOwUhka3iWe7qRzzKT.webp","large",1221,0,"en",{"id":46,"title":47,"slug":48,"meta_title":47,"meta_description":89,"meta_keywords":89,"deleted_at":82,"created_at":90,"updated_at":91,"lang":87},"Artificial Intelligence, ai, ml, machine learning, chatgpt, future","2024-09-22T08:08:27.000000Z","2024-09-23T12:49:38.000000Z",[93,108,121,134,146],{"title":94,"description":95,"slug":96,"created_at":97,"publish_at":98,"formatted_created_at":99,"category":100,"links":101,"view_type":106,"video_url":82,"views":18,"likes":86,"lang":87,"comments_count":86,"is_pinned":107},"Twitter Dev Builds “Stukach-Claw” — An AI Snitch Bot That’s Already Reported 4,250 People to the IRS for Tax Jokes","A crypto trader and developer known as @camolNFT has gone viral after revealing he built an autonomous AI agent called OpenClaw (affectionately dubbed Stukach-Claw by Russian-speaking users) that actively hunts for “jokes” about tax evasion on social media and automatically files whistleblower reports with the 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And Traditional Email Services Are Feeling It","On April 17, 2026, Cloudflare quietly turned a long-standing dream into reality: it moved Email Service into public beta and added full Email Sending alongside the years-old Email 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