{"id":158197,"date":"2025-05-28T08:00:24","date_gmt":"2025-05-28T05:00:24","guid":{"rendered":"https:\/\/cryptodnes.bg\/en\/?p=158197"},"modified":"2025-05-27T14:37:57","modified_gmt":"2025-05-27T11:37:57","slug":"why-todays-ai-still-doesnt-think-like-us-according-to-metas-chief-scientist","status":"publish","type":"post","link":"https:\/\/cryptodnes.bg\/en\/why-todays-ai-still-doesnt-think-like-us-according-to-metas-chief-scientist\/","title":{"rendered":"Why Today\u2019s AI Still Doesn\u2019t Think Like Us, According to Meta\u2019s Chief Scientist"},"content":{"rendered":"

Speaking at the AI Action Summit in Paris, LeCun outlined a vision for models that do more than pattern-match words: ones that can reason, plan, and interact with the world like humans and animals do.<\/p>\n

According to LeCun, AI must evolve beyond today\u2019s chatbot engines to understand physical environments, retain long-term memory, reason through complex problems, and make structured plans. He criticized the industry\u2019s race to bolt new functions onto existing models, calling instead for a fundamental rethinking of how AI learns.<\/p>\n

Meta is already experimenting with alternative approaches. One such technique, retrieval-augmented generation (RAG), allows models to pull in external information during responses. Another is V-JEPA, a video-based system that learns by predicting missing frames\u2014an attempt to mimic how humans learn by observing the world.<\/p>\n

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Read More:<\/h5>\n \n
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Circle Dismisses Acquisition Rumors, Reaffirms IPO Focus<\/h4>\n <\/div>\n <\/a>\n<\/div>\n<\/p>\n

LeCun advocates for \u201cworld-models,\u201d AI systems trained to simulate cause-and-effect by predicting the outcomes of imagined actions. This, he says, brings AI closer to human cognition, where understanding arises from abstraction, not just data patterns.<\/p>\n

But Meta\u2019s bold ambitions are clashing with internal setbacks. The company is facing a brain drain from its AI research division. Many of the minds behind its Llama model have exited, with several joining Paris-based rival Mistral. Only 3 of the original 14 Llama architects remain at Meta, according to Insider.<\/p>\n

The latest iteration of Meta\u2019s flagship model, Llama 4, hasn\u2019t generated much excitement among developers, who are increasingly gravitating toward faster-moving competitors like OpenAI\u2019s GPT-4o, Google\u2019s Gemini 2.5 Pro, and Anthropic\u2019s Claude 4 Sonnet. Reports also suggest Meta has delayed the release of its most advanced version, Llama 4 \u201cBehemoth.\u201d<\/p>\n

As the AI arms race intensifies, LeCun\u2019s call for deeper, more grounded intelligence may prove critical\u2014but whether Meta can lead that shift while holding onto its top talent remains to be seen.<\/p>\n","protected":false},"excerpt":{"rendered":"

Meta\u2019s top AI scientist, Yann LeCun, is challenging the status quo in artificial intelligence, arguing that current language models\u2014despite their popularity\u2014lack the foundational traits of real intelligence.<\/p>\n","protected":false},"author":3,"featured_media":81952,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[22],"tags":[],"coin_category":[],"class_list":["post-158197","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-others"],"acf":[],"yoast_head":"\nWhy Today\u2019s AI Still Doesn\u2019t Think Like Us, According to Meta\u2019s Chief Scientist<\/title>\n<meta name=\"description\" content=\"Meta\u2019s top AI scientist, Yann LeCun, is challenging the status quo in artificial intelligence, arguing that current language models\u2014despite their popularity\u2014lack the 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