Every tenth response from the Gemini 3 algorithms contains factual errors or fabricated data <\/p>\n
A study by The New York Times highlighted a critical issue in AI responses: the Gemini 3 algorithm produces false information in 9% of cases. Despite technological upgrades, the system continues to generate millions of fakes daily.<\/p>\n<\/p>\n
This is reported by RBC-Ukraine, citing the study.<\/p>\n
More interesting news<\/strong>: Popular AI can reveal passwords and correspondence: what is known about the critical vulnerability<\/p>\n Results of the SimpleQA test<\/p>\n To assess accuracy, the experiment used the SimpleQA benchmark from OpenAI – a list of 4,000 questions with verified answers. The study showed that accuracy increased from 85% in Gemini 2.5 to 91% in Gemini 3<\/strong>. However, if this error percentage is extrapolated to all search queries, Google produces tens of millions of incorrect answers daily.<\/p>\n The report provides examples of the algorithm’s failures:<\/strong><\/p>\n Google’s reaction: “We see serious gaps”<\/p>\n The tech giant sharply criticized the analysis results. Google representative Ned Adrians stated: “This study has serious holes. It does not reflect what people actually search for on Google.”<\/p>\n The company believes that the SimpleQA test itself contains incorrect information.<\/p>\n It also turned out that the tech giant uses different models depending on the user’s query. To load results faster, the system most often uses the Gemini Flash model, which is cheaper and faster but less accurate than Gemini 3.1 Pro<\/strong>.<\/p>\n The key issue, according to Google, is that AI Overviews encourage people to accept short summaries instead of checking primary sources through “blue links.” The company itself adds a disclaimer: “AI can make mistakes, so please verify answers.”<\/p>\n Developers clarified that you can review privacy and search settings in your browser from the “Settings” menu<\/strong>.<\/p>\n<\/p>\n Read even more interesting news<\/strong>:<\/p>\n Source: rbc.ua +rel=\u201dnofollow\u201d<\/p>\n","protected":false},"excerpt":{"rendered":" Every tenth response from the Gemini 3 algorithms contains factual errors or fabricated data. A study by The New York Times highlighted a critical issue in AI responses: the Gemini 3 algorithm produces false information in 9% of cases. Despite technological upgrades, the system continues to generate millions of fakes daily. Source: rbc.ua” +rel=\u201dnofollow\u201d<\/p>\n","protected":false},"author":1,"featured_media":68304,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"magazine_newspaper_sidebar_layout":"","footnotes":""},"categories":[64],"tags":[],"class_list":["post-68608","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-en"],"yoast_head":"\n\n
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