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Core Viewpoint - The article emphasizes the importance of spatial intelligence in achieving Artificial General Intelligence (AGI), as articulated by AI expert Fei-Fei Li, who believes that understanding and interacting with the 3D world is fundamental to AI development [1][4][29]. Group 1: Spatial Intelligence and AGI - Fei-Fei Li asserts that without spatial intelligence, AGI is incomplete, highlighting the necessity of creating world models that capture the structure and dynamics of the 3D world [29]. - She identifies 3D world modeling as a critical challenge for AI, stating that understanding, generating, reasoning, and acting within a 3D environment are essential problems for AI [7][29]. - The pursuit of spatial intelligence is framed as a lifelong goal for Li, who aims to develop algorithms that can narrate the stories of the world by understanding complex scenes [20][29]. Group 2: Historical Context and Breakthroughs - The article discusses the inception of ImageNet, a pivotal project initiated by Li, which aimed to create a vast dataset for training AI in visual recognition, addressing the data scarcity issue in the early days of AI [11][14]. - The success of ImageNet led to significant advancements in computer vision, particularly with the introduction of AlexNet, which utilized convolutional neural networks and marked a turning point in AI capabilities [19][22]. - Li reflects on the evolution of AI from object recognition to scene understanding, emphasizing the importance of integrating natural language with visual signals to enable AI to describe complex environments [15][20]. Group 3: Future Directions and Applications - Li expresses excitement about the potential applications of spatial intelligence in various fields, including design, architecture, gaming, and robotics, indicating a broad utility for world models [35]. - The article mentions the challenges of data acquisition for spatial intelligence, noting that while language data is abundant online, spatial data is less accessible and often resides within human cognition [33][50]. - Li's new venture, World Labs, aims to tackle these challenges by developing innovative solutions for understanding and generating 3D environments, indicating a commitment to advancing the field of AI [29][35].

当地时间7月1日，OpenAI在Youtube官方账号发布了第二期播客节目——由前工程师安德鲁・梅恩（Andrew Mayne）主持，公司首席研 究官马克・陈（Mark Chen）和ChatGPT负责人尼克・特利（Nick Turley）作为嘉宾参与。 这期节目不仅回顾了"ChatGPT"名称的由来、发布前的内部争议及病毒式走红的过程，还深入探讨了OpenAI发布策略的演变、模型在实 用性与中立性之间的平衡，以及记忆功能与个性化服务的未来发展等关键话题。核心观点有： 以下为此次播客节目的精华版内容： 01.ChatGPT名称的由来 在人工智能发展史上，ChatGPT的诞生充满戏剧性。特利回忆，它最初叫"Chat with GPT-3.5"，发布前夕团队深夜临时决定简化名称，这 看似随意的调整，却让它成了科技史上辨识度极高的品牌。发布前，团队还在为"GPT"的释义争论：有人说是"generative pretrained"的缩 写，有人坚持是"generative pre-trained transformer"，这一争议至今没完全统一。 产品发布后的爆火远超预期。特利说，发布首日看到数据还以为统计错了，直到第 ...

编译｜冬梅 AI 领域竞争日益白热化的当下，人才抢夺大战正激烈上演。 Meta 首席执行官马克・扎克伯格近期的一系列动作引发了轩然大波，其大力招募 AI 人才的举措，直 接触动了行业巨头 OpenAI 的神经。 周一晚间，OpenAI CEO Sam Altman 向公司研究人员发出了一份措辞强硬的回应，该回应被《连 线》杂志获取。 Altman 在回应中明确阐述了对于那些立志打造通用人工智能的人才而言， 留在 OpenAI 才是不二之 选，同时暗示公司正在对整个研究机构的薪酬方案进行全面评估 。他对 Meta 的招聘行为表达了强 烈不满，直言这种做法可能会在未来引发严重的文化问题。 "我们已经从角落里的一群书呆子变成了科技界最有趣的人（至少是这样），" 他在 Slack 上写 道，"人工智能推特有害；Meta 的行为让人感觉有些令人反感；我认为未来情况会变得更加疯狂。我 被解雇回来后，我说那不是 OpenAI 历史上最疯狂的事情；当然也不是。" 这一事件的导火索是扎克伯格周一的一项重要声明。当日，扎克伯格向员工发送了一份备忘录，介绍 了 Meta 新成立的超级智能团队。该团队将由前 Scale AI 创始人 ...

traders talking about how tenev just said "time to move beyond bitcoin and memecoins into real-world assets that exhibit fundamental utility"robinhood deployed 213 tokens on arbitrum for $5 total. first tokenized openai and spacex shares. 24/7 trading for 450M eu consumers. renaissance holding $1.4B in $HOOD$HOOD hitting aths while $ARB down 5.7% despite being the infrastructure play here. the infrastructure providers rarely capture the value ...

SRFT团队 投稿 量子位 | 公众号 QbitAI 通过单阶段监督微调与强化微调结合，让大模型在训练时能同时利用专家演示和自我探索试错，有效提升大模型推理性能。 中国科学院自动化研究所深度强化学习团队 联合 美团 ，提出一种 单阶段监督-强化微调方法——SRFT (Supervised Reinforcement Fine-Tuning) 。该方法通过基于熵的动态加权机制，将两种训练范式结合。 在大语言模型（LLM）的推理能力提升上，监督微调（SFT） 和强化学习（RL，有时也称作强化微调，RFT）是两条核心技术路线。但它们 各自都存在瓶颈： SFT擅长模仿专家解题思路，类似"背书"，能快速为模型打下基础，但缺点是容易陷入死记硬背，缺乏在新问题上灵活应用和寻找最优解的能 力； RFT/RL通过不断试错来探索解题方法，类似"刷题"，能够发现更优解法，但其探索过程效率低下，容易面临模式崩溃风险。 因此，目前研究者通常采用两阶段 顺序 方法SFT→RFT/RL：先用SFT学习高质量数据集，再用RFT/RL进一步优化对齐LLM策略（即先"背 完书"再"去刷题"）。 然而，这种串行方式不仅影响学习效率，还常常导致模型 ...

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🚨 Southeast Asia has a young, digital-native, mobile-first population, which makes it ideal for Web3 and DePIN. @u2u_xyz takes the opportunity by expanding real-world DePIN use cases.AMA recap shows how:Cointelegraph (@Cointelegraph):Southeast Asia to drive DePIN growth [Brought to you by @u2u_xyz] https://t.co/tGtE0PnwYT ...

With the regulatory outlook for crypto turning more positive by the day, companies everywhere are exploring blockchain integrations with tokenized realworld assets or RWAs being front and center. And the imminent passage of crypto regulations suggests we're on the verge of a major wave of web 2 and tradi firms entering the RWA space. That's why in today's video, we'll cover which sectors are making the leap and which cryptos could benefit as a result.My name is Guy and you're watching the Coin Bureau. Befor ...

Core Insights - Honeywell has acquired Nexceris' Li-ion Tamer business, enhancing its fire life safety technologies in the Building Automation segment and addressing lithium-ion battery system safety [1][4] - The acquisition is expected to be immediately accretive to Honeywell's financials and positions the company as a leader in early gas detection and battery fire prevention [1][4] Industry Trends - Demand for lithium-ion batteries is projected to grow over 30% annually through 2030, exceeding $400 billion, making battery safety solutions increasingly critical across various sectors [2] - The risk of fire associated with lithium-ion batteries is rising alongside their usage in data centers, electric vehicle infrastructure, and grid-scale energy storage [4] Technology and Product Details - Li-ion Tamer utilizes early warning technology to detect battery off-gassing, providing up to 30 minutes of advance warning before a potential battery fire [3] - The product portfolio includes over 30 global patents and is trusted by leading battery OEMs worldwide [4][7] Strategic Actions - This acquisition follows Honeywell's planned spin-offs of its Aerospace Technologies and Solstice Advanced Materials businesses, aimed at creating three publicly listed industry leaders with distinct strategies [5] - Since December 2023, Honeywell has engaged in strategic actions totaling $13.5 billion in accretive acquisitions to drive organic growth and simplify its portfolio [5]