估值35亿美元，LeCun创业公司官宣核心方向，掀起对Next-token范式的「叛变」

Core Viewpoint - AMI Labs, founded by Turing Award winner Yann LeCun, aims to develop "world models" to create intelligent systems that can understand the real world, moving beyond the limitations of current large language models [1][2]. Group 1: World Models - LeCun criticizes existing generative models for their inability to truly understand the real world, proposing world models as a new AI architecture that accurately reflects real-world dynamics [2]. - The world models should possess four key capabilities: understanding the real world, having persistent memory, reasoning and planning, and being controllable and safe [5]. Group 2: Action-Conditioned World Models - AMI Labs introduces action-conditioned world models that can predict the outcomes of actions taken by agents and plan action sequences within safety constraints to accomplish specific tasks [3][4]. Group 3: Application Focus - The company focuses on high-reliability, controllability, and safety applications, including industrial process control, automation systems, wearable devices, robotics, and healthcare [4][18]. Group 4: Industry Context - LeCun's departure from Meta reflects a desire to pursue a different path in AI, as the industry is heavily focused on large language models, which he believes limits innovation [9][10]. - AMI Labs is seen as a counter-investment to large language models, addressing their limitations, particularly in critical fields like healthcare [17]. Group 5: Company Structure and Leadership - Alex LeBrun serves as the CEO of AMI Labs, having transitioned from Nabla, where he was involved in developing AI for clinical care [14][16]. - AMI Labs is expected to maintain a close relationship with Meta, potentially becoming its first customer, despite LeCun's criticisms of Meta's strategic choices [16]. Group 6: Funding and Valuation - AMI Labs is reportedly seeking funding at a valuation of $3.5 billion, with interest from various venture capital firms [14]. - The company is positioned to attract top scientists and investors, indicating a strong market interest in the development of foundational models that connect AI with the real world [13].