{"id":130021,"date":"2025-05-27T04:15:36","date_gmt":"2025-05-27T04:15:36","guid":{"rendered":"http:\/\/cryptospotters.net\/?p=130021"},"modified":"2025-05-27T04:15:36","modified_gmt":"2025-05-27T04:15:36","slug":"metas-ai-boss-says-current-ai-lacks-intelligent-behavior-report","status":"publish","type":"post","link":"http:\/\/cryptospotters.net\/?p=130021","title":{"rendered":"Meta\u2019s AI boss says current AI lacks \u2018intelligent behavior\u2019 \u2014 Report"},"content":{"rendered":"<p>Source: Cointelegraph.com NewsCurrent artificial intelligence models lack the major traits of human intelligence, Meta\u2019s AI chief has reportedly said, claiming that the firm\u2019s latest model will solve this issue.\u00a0<br \/>\nBusiness Insider reported on May 26 that at the AI Action Summit in Paris earlier this year, Meta chief AI scientist Yann LeCun said that \u201cthere are four essential characteristics of intelligent behavior that every animal, or relatively smart animal, can do, and certainly humans.\u201d\u00a0<br \/>\n\u201cUnderstanding the physical world, having persistent memory, being able to reason and being able to plan complex actions, particularly planning hierarchically,\u201d LeCun said.<br \/>\nHe said current large language models (LLMs) that power popular AI chatbots have not hit this threshold, and \u201cincorporating these capabilities would require a shift in how they are trained.\u201d<br \/>\nSome of the largest AI and tech giants are \u201ccobbling capabilities\u201d onto existing models in their race to dominate the AI game, LeCun said.<br \/>\nYann LeCun speaking on LLM intelligence. Source: Patrick Patterson\/X\u00a0Meta is already experimenting with a system called retrieval augmented generation (RAG), which is a method of enhancing LLM outputs using external knowledge sources.<br \/>\nIn February, it released V-JEPA, a non-generative model that learns by predicting missing or masked parts of a video.<br \/>\nRelated: Meta gets EU regulator nod to train AI with social media content<br \/>\nLeCun believes that \u201cworld-based models\u201d would be a better approach as these would be trained on real-life scenarios and possess higher cognition than current pattern-based AI.\u00a0<br \/>\nThe concept involves models that can imagine taking an action and predict the resulting world state. Since the world has infinite unpredictable possibilities, LeCun believes training must happen through abstraction, which mirrors how humans make sense of the physical world.<br \/>\nMeta\u2019s AI brain drain\u00a0<br \/>\nMeanwhile, Meta is experiencing significant talent loss from its AI research team, particularly among the researchers who created the original Llama model in 2023, Insider reported on May 26.\u00a0<br \/>\nJust three of the original 14 Llama authors remain at Meta, and many have joined Mistral, a Paris-based startup co-founded by former Meta researchers and key Llama architects.\u00a0<br \/>\nMeta\u2019s latest release, Llama 4, received a lukewarm reception from developers, many of whom now look to faster-moving rivals that have dedicated reasoning models such as OpenAI\u2019s GPT-4o, Google\u2019s Gemini 2.5 Pro, and the recently launched Claude 4 Sonnet from Anthropic, the report added.\u00a0<br \/>\nOn May 15, The Wall Street Journal reported that Meta was delaying the rollout of its flagship AI LLM, Llama 4 \u201cBehemoth.\u201d\u00a0<br \/>\nMagazine: AI cures blindness, \u2018good\u2019 propaganda bots, OpenAI doomsday bunker: AI Eye<a href=\"https:\/\/cointelegraph.com\/news\/meta-ai-boss-ai-lacks-intelligent-behavior-report?utm_source=rss_feed&amp;utm_medium=rss&amp;utm_campaign=rss_partner_inbound\" target=\"_blank\" class=\"feedzy-rss-link-icon\" rel=\"noopener\">Read More<\/a><\/p>","protected":false},"excerpt":{"rendered":"<p>Source: Cointelegraph.com NewsCurrent artificial intelligence models lack the major traits of human intelligence, Meta\u2019s AI chief has reportedly said, claiming that the firm\u2019s latest model will solve this issue.\u00a0 Business&hellip; <\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5],"tags":[],"_links":{"self":[{"href":"http:\/\/cryptospotters.net\/index.php?rest_route=\/wp\/v2\/posts\/130021"}],"collection":[{"href":"http:\/\/cryptospotters.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/cryptospotters.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"http:\/\/cryptospotters.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=130021"}],"version-history":[{"count":0,"href":"http:\/\/cryptospotters.net\/index.php?rest_route=\/wp\/v2\/posts\/130021\/revisions"}],"wp:attachment":[{"href":"http:\/\/cryptospotters.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=130021"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/cryptospotters.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=130021"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/cryptospotters.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=130021"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}