LLM 没意思，小扎决策太拉垮，图灵奖大佬 LeCun 离职做 AMI

Core Insights - Yann LeCun, a Turing Award winner and a key figure in deep learning, announced his departure from Meta to start a new company focused on Advanced Machine Intelligence (AMI) research, aiming to revolutionize AI by creating systems that understand the physical world, possess persistent memory, reason, and plan complex actions [2][4][11]. Departure Reasons & Timeline - LeCun's departure from Meta was confirmed after rumors circulated, with the initial report coming from the Financial Times on November 11, indicating his plans to start a new venture [10][11]. - Following the announcement, Meta's market value dropped approximately 1.5% in pre-market trading, equating to a loss of about $44.97 billion (approximately 320.03 billion RMB) [11]. - The decision to leave was influenced by long-standing conflicts over AI development strategies within Meta, particularly as the focus shifted towards generative AI (GenAI) products, sidelining LeCun's foundational research efforts [11][12]. Research Philosophy & Future Vision - LeCun emphasized the importance of long-term foundational research, which he felt was being undermined by Meta's shift towards rapid product development under the leadership of younger executives like Alexandr Wang [12][13]. - He expressed skepticism towards large language models (LLMs), viewing them as nearing the end of their innovative potential and advocating for a focus on world models and self-supervised learning to achieve true artificial general intelligence (AGI) [14][15]. - LeCun's vision for AMI includes four key capabilities: understanding the physical world, possessing persistent memory, true reasoning ability, and the capacity to plan actions rather than merely predicting sequences [16][15]. Industry Context & Future Outlook - The article suggests a growing recognition in the industry that larger models are not always better, with a potential shift towards smaller, more specialized models that can effectively address specific tasks [18]. - Delangue, co-founder of Hugging Face, echoed LeCun's sentiments, indicating that the current focus on massive models may lead to a bubble, while the true potential of AI remains largely untapped [18][15]. - Meta acknowledged LeCun's contributions over the past 12 years and expressed a desire to continue benefiting from his research through a partnership with his new company [22].