{"id":59013,"date":"2026-10-13T11:05:58","date_gmt":"2026-10-13T03:05:58","guid":{"rendered":"https:\/\/www.1ai.net\/?p=59013"},"modified":"2026-10-13T11:06:16","modified_gmt":"2026-10-13T03:06:16","slug":"ai-%e6%95%99%e7%88%b6%e6%9d%a8%e7%ab%8b%e6%98%86%ef%bc%9a%e4%b8%8b%e4%b8%80%e4%bb%a3-ai-%e9%a1%bb%e7%90%86%e8%a7%a3%e7%8e%b0%e5%ae%9e%e4%b8%96%e7%95%8c","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/59013.html","title":{"rendered":"\"AI GODFATHER\" YANG LIQUN: NEXT GENERATION AI MUST UNDERSTAND THE REAL WORLD"},"content":{"rendered":"<p>October 13, according to the Korean media, The Korea Herald, an artificial intelligence pioneer, founder and chairman of AMI Labs<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e6%9d%a8%e7%ab%8b%e6%98%86\" title=\"_Other Organiser\" target=\"_blank\" >Yang Likun<\/a>\uff08<a href=\"https:\/\/www.1ai.net\/en\/tag\/yann-lecun\" title=\"_Other Organiser\" target=\"_blank\" >Yann LeCun<\/a>On Monday in Seoul, he wrote:<a href=\"https:\/\/www.1ai.net\/en\/tag\/ai\" title=\"[View articles tagged with [AI]]\" target=\"_blank\" >AI<\/a> THE NEXT BREAKTHROUGH WILL COME NOT FROM LARGE LANGUAGE MODELS, BUT FROM SYSTEMS THAT UNDERSTAND AND PREDICT THE PHYSICAL WORLD. HE BELIEVES THAT THE WORLD MODEL WILL DRIVE AI INTO THE NEXT PHASE\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-59014\" title=\"3dbb62afj00ttsku00agd000v90hkp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2026\/10\/3dbb62afj00tmtsku00agd000v900hkp.jpg\" alt=\"3dbb62afj00ttsku00agd000v90hkp\" width=\"1125\" height=\"632\" \/><\/p>\n<p>Yang Liqun stressed that there are limitations in understanding the real world in the larger language model developed for everyday life. \u201cWe don't have robots who can do their job without any training,\u201d he explains<strong>I DIDN'T DEVELOP AN L5 SELF-PILOT<\/strong>In contrast, any young person can learn to drive only a few hours of practice.\"<\/p>\n<p>AND HE WENT ON TO SAY, \"THIS MEANS THAT THERE'S A HUGE GAP BETWEEN UNDERSTANDING LANGUAGE AND UNDERSTANDING THE REAL WORLD. IT HAS PROVED THAT IT IS EASY FOR MACHINES TO READ LANGUAGES AND NOT EASY TO UNDERSTAND THE REAL WORLD.\u201d<\/p>\n<p><strong>THE BIG LANGUAGE MODEL (LLM) IS A MODEL BASED ON BIG TRAINING DATA<\/strong>,<strong>Predicting the most probable next word generation text<\/strong>I don't know. In the view of Yang Liquon, this approach is performing well in tasks involving predictable sequences, such as programming, mathematics and so forth, but most of the information in the real world is far less predictable than in language\u3002<\/p>\n<p><strong>That's why he advocated a world model<\/strong>,<strong>TO ENABLE AI TO LEARN THE PHYSICAL PATTERNS AND CAUSALITY THAT DOMINATE THE REAL WORLD<\/strong>To allow the system to predict the likely results of the operation and interact with the surrounding environment\u3002<\/p>\n<p>NOTE: YANG LIQUON, ONE OF THE MAJOR INVENTORS OF THE CONGESTED NEURAL NETWORK (CNN), HAS A THEORY THAT GREATLY PROMOTES MODERN COMPUTER VISUAL DEVELOPMENT AND IS WIDELY USED IN IMAGE AND VISUAL RECOGNITION. HE WAS AWARDED THE TURING PRIZE IN 2018 AND BECAME ONE OF THE \u201cAI GODFATHERS\u201d\u3002<\/p>","protected":false},"excerpt":{"rendered":"<p>On October 13, according to the Korean media, The Korea Herald, AMI Labs founder and chairman of Yann LeCun stated in Seoul on Monday that AI\u2019s next breakthrough would not come from a large-language model but from a system that understands and predicts the physical world. He believes that the World Model will drive AI into the next phase. Yang Liqun stressed that there are limitations in understanding the real world in the larger language model developed for everyday life. He explained that: \u201cWe don't have robots who can do their job without any training, nor have we developed an L5-class auto-driving car, compared to any young person who only needs hours of practice to learn to drive\u3002<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[411,8608,5346],"collection":[],"class_list":["post-59013","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-yann-lecun","tag-5346"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/59013","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=59013"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/59013\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=59013"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=59013"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=59013"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=59013"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}