听雨 发自 凹非寺 量子位 | 公众号 QbitAI 开源领域一大悲号传来—— 艾伦人工智能研究所 （Ai2） ，宣布 削减开源模型开发（包括OLMo）的资金 ，转向AI应用。 就在同一时间，AI2核心团队几乎被"打包带走"，集体流向微软。 人员包括前CEO阿里·法哈迪、前首席运营官索菲·莱布雷希特、汉娜·哈吉希尔齐和兰杰·克里希纳，都是Ai2的核心力量。 其中有的人上周刚参加完GTC大会，还跟老黄畅谈开源模型的未来。 他们的下一站，则是 微软穆斯塔法·苏莱曼的超级智能团队 。 X上已经炸了锅，全网一片哀鸣。 不少网友唏嘘：这对开源社区来说是个巨大遗憾， OLMo是极少数真正开源的模型之一 。 核心人员打包进微软 核心人员集体离职，是一个非常不妙的信号。 Ai2前CEO阿里·法哈迪、前首席运营官索菲·莱布雷希特、汉娜·哈吉希尔齐和兰杰·克里希纳，统统被苏莱曼打包进了微软。 法哈迪 已于3月12日卸任，结束了超过两年半的Ai2掌门人生涯。 他与Ai2的渊源颇为深厚。法哈迪是一位计算机视觉专家，也是华盛顿大学计算机科学与工程学院的教授，该院即以微软联合创始人、Ai2创始 人保罗·艾伦 （Paul Allen） 的 ...

Core Viewpoint - NVIDIA has emerged as a leading player in the AI infrastructure space, achieving a market valuation of $5 trillion, which is an 11-fold increase over three years. The company has transitioned from a graphics chip manufacturer to a key player in AI, particularly in autonomous driving and embodied intelligence [2]. Group 1: NVIDIA's Technological Developments - The Cosmos series, initiated in January, focuses on world foundation models, leading to the development of Cosmos-Transfer1, Cosmos-Reason1, and Cosmos-Predict2.5, which lay the groundwork for autonomous driving and embodied intelligence [5]. - The Nemotron series aims to create a "digital brain" for the agent-based AI era, providing open, efficient, and precise models and tools for enterprises to build specialized AI systems [5]. - The embodied intelligence initiatives include GR00T N1 and Isaac Lab, which focus on simulation platforms and embodied VLA (Vision-Language-Action) models [5]. Group 2: Key Papers and Contributions - The paper "Isaac Lab" presents a GPU-accelerated simulation framework for multi-modal robot learning, addressing challenges in data scarcity and the simulation-to-reality gap [6]. - "Nemotron Nano V2 VL" introduces a 12 billion parameter visual language model that achieves state-of-the-art performance in document understanding and long video reasoning tasks [12]. - "Alpamayo-R1" proposes a visual-language-action model that integrates causal reasoning and trajectory planning to enhance safety and decision-making in autonomous driving [13]. Group 3: Innovations in AI Models - "Cosmos-Predict2.5" introduces a next-generation physical AI video world foundation model that integrates text, image, and video generation capabilities, significantly improving video quality and consistency [17]. - "Cosmos-Reason1" aims to endow multi-modal language models with physical common sense and embodied reasoning capabilities, enhancing their interaction with the physical world [32]. - "GR00T N1" is an open foundation model for generalist humanoid robots, utilizing a dual-system architecture for efficient visual language understanding and real-time action generation [35].

Core Viewpoint - NVIDIA is actively recruiting top talent in the AI field, specifically targeting Chinese experts, to enhance its capabilities in enterprise-level AI solutions and compete in the growing AI market [58][62][67]. Group 1: Recruitment of AI Experts - NVIDIA's founder, referred to as "老黄," has recently recruited two prominent Chinese AI experts, Banghua Zhu and Jiantao Jiao, who co-founded Nexusflow, a company focused on building intelligent agents for enterprises [2][11][58]. - The recruitment of these experts indicates NVIDIA's strategic shift towards providing comprehensive AI solutions beyond just selling GPUs [58][62]. - Both Banghua Zhu and Jiantao Jiao have extensive backgrounds in academia and industry, making them valuable assets for NVIDIA's AI initiatives [61][62]. Group 2: Background of Recruited Experts - Banghua Zhu is an assistant professor at the University of Washington and has co-founded Nexusflow AI, focusing on reliable AI solutions for enterprise applications [12][26][31]. - Jiantao Jiao is an assistant professor at UC Berkeley and also serves as the CEO of Nexusflow, with research interests spanning generative AI and foundational models [18][50][51]. - Both experts have received recognition for their contributions to AI research, with Zhu being awarded the 2023 David J. Sakrison Memorial Award [30]. Group 3: NVIDIA's AI Strategy - NVIDIA is developing the Nemotron series, which emphasizes multimodal reasoning and function calling capabilities, aiming to provide a robust foundation for enterprise-level AI agents [59][61]. - The company is focusing on a tiered computing power structure (Nano/Super/Ultra) to cater to different business needs, enhancing the accuracy and throughput of AI applications [61]. - NVIDIA's strategy reflects a broader trend in the industry where companies are competing fiercely for AI talent, indicating that the "AI talent war" is just beginning [67].