{"id":240819,"date":"2026-07-14T10:03:38","date_gmt":"2026-07-14T15:03:38","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2026\/07\/testing-the-limits-of-whats-possible-and-what-isnt-with-ai"},"modified":"2026-07-14T10:03:38","modified_gmt":"2026-07-14T15:03:38","slug":"testing-the-limits-of-whats-possible-and-what-isnt-with-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2026\/07\/testing-the-limits-of-whats-possible-and-what-isnt-with-ai","title":{"rendered":"Testing the limits of what\u2019s possible (and what isn\u2019t) with AI"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/testing-the-limits-of-whats-possible-and-what-isnt-with-ai2.jpg\"><\/a><\/p>\n<p>When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given.<\/p>\n<p>The researchers, from the University of Cambridge and the University of California, Santa Barbara, designed \u201cadversarial\u201d mathematical systems to fool any AI algorithm. Like ethical hackers stress-testing a network\u2019s security, these adversarial systems were designed to map out exactly where and why AI prediction breaks down.<\/p>\n<p>Many real-world systems\u2014like those in the oceans, the human brain or robotics\u2014are too complex to describe neatly with equations, so researchers often learn how they behave by using machine learning. But these AI methods don\u2019t always work well, returning unreliable results or poor predictions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>When can we trust the results we get from AI, and when is learning impossible? Researchers have shown that there are some problems that even the most powerful AI cannot reliably solve, no matter how much data it is given. The researchers, from the University of Cambridge and the University of California, Santa Barbara, designed [\u2026]<\/p>\n","protected":false},"author":732,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,2229,6,1492],"tags":[],"class_list":["post-240819","post","type-post","status-publish","format-standard","hentry","category-information-science","category-mathematics","category-robotics-ai","category-security"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/240819","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/732"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=240819"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/240819\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=240819"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=240819"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=240819"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}