【环球网科技综合报道】6月18日消息，据techcrunch报道，Meta 首席执行官马克・扎克伯格近期积极招募顶尖人工智能研究人员，以充实 Meta 新的超级智 能团队。其中，Meta 向 OpenAI 和谷歌 DeepMind 的员工提供了高达 1 亿美元的薪酬待遇，试图挖角。然而，OpenAI 首席执行官 Sam Altman 在播客中证 实，尽管 Meta 开出了极具吸引力的条件，但至今未能成功从 OpenAI 挖走人才。 外媒称，未来一年，Meta 计划扩充其 AI 团队，而 OpenAI、Anthropic 和 Google DeepMind 也在全力发展。OpenAI 预计将发布一个开放的 AI 模型，这可能 会给 Meta 带来更大压力。与此同时，Altman 提到 OpenAI 正探索开发一款由人工智能驱动的社交媒体应用，这可能对 Meta 的市场地位构成威胁。 当前，Meta 正通过其 Meta AI 应用试验人工智能驱动的社交网络，但一些用户对应用的混淆导致了隐私泄露问题。人工智能社交网络的前景尚不明朗，但 扎克伯格与 Altman 在人工智能人才争夺战中的较量已悄然展开。（青云） 尽管 ...

Core Viewpoint - The ongoing downturn in the real estate market is negatively impacting the kitchen appliance industry, particularly the integrated stove sector, prompting leading companies to accelerate diversification efforts [2][9]. Group 1: Company Developments - Zhejiang Meida announced an investment in the intelligent driving company Magic Vision Technology, marking its entry into the smart driving sector with a total investment of approximately 110 million RMB [3]. - Other major players in the integrated stove market, such as Mars, Yitian Smart, and Shuaifeng Electric, are also expanding into new areas like robotics and computing infrastructure [2][6]. - The investment in Magic Vision is seen as a strategic move to leverage the growth potential in the smart driving industry, which is experiencing rapid development due to increasing penetration rates of intelligent driving systems [3][4]. Group 2: Industry Trends - The integrated stove industry has faced significant challenges since 2022, with companies experiencing substantial declines in revenue and net profit [9]. - The overall market for integrated stoves is projected to remain weak, with a 30.6% year-on-year decline in retail sales in 2024, indicating a difficult adjustment period for the industry [11]. - Emerging product categories, such as integrated cooking centers, are gaining traction, with a reported growth of over 100% in 2024, posing a competitive threat to traditional integrated stoves [12]. Group 3: Financial Performance - Zhejiang Meida's revenue and net profit have seen significant declines, with a 47.54% drop in revenue and a 76.21% drop in net profit projected for 2024 [9]. - Other companies in the integrated stove sector, including Mars and Yitian Smart, have also reported substantial declines in financial performance, with some facing losses [9][11]. - The stock prices of these companies have generally trended downward since their peak in 2021, reflecting the challenging market conditions [9].

划重点： 6月17日消息，据知情人士透露，OpenAI正在推进公司重组计划，并就相关协议条款与其最大外部股东 微软进行重新谈判。然而，双方谈判已持续八个月，仍未取得实质进展，且过程中不断出现新的分歧， 使得OpenAI内部对微软的不满情绪加剧，甚至已开始讨论是否向监管机构提起反垄断投诉。 股权谈判卡壳，OpenAI重组与融资双重受阻 根据现有协议，OpenAI重组旗下营利性部门的计划需获得微软批准。OpenAI希望微软在重组后持有盈 利部门约33%的股权，并以此为交换，放弃对未来利润的分成权。但微软则要求更高比例的股权，作为 其继续支持OpenAI的条件。微软此前承诺向OpenAI投入超过130亿美元资金，并通过其持股安排，最多 可获得约1200亿美元的未来利润分成。 与此同时，OpenAI还计划以约30亿美元收购AI代码生成初创公司Windsurf，并希望这笔交易能够豁免 于现有与微软签订的"知识产权可访问"协议条款。OpenAI担心，一旦Windsurf纳入该协议，其与微软旗 下的GitHub Copilot存在的直接竞争关系，可能暴露出技术敏感性并限制其战略部署。 根据当前协议，微软不仅拥有独家通过Az ...

在美国借助"星际之门"重塑全球数字资源格局的同时，中美之间的AI角力或许会更加激烈。 由美国总统特朗普直接倡导的、科技产业与商业投资巨头联袂打造的"星际之门"（Stargate），不仅会 显著提升美国在全球人工智能（AI）领域的竞争力与话语权，也必然增加全球算力资源的供给口径， 进而拓展更加丰富的AI服务场景和新经济增长点。在美国借助"星际之门"重塑全球数字资源格局的同 时，中美之间的AI角力或许会变得更加激烈与白热化。 大兵团运动战 同时，OpenAI的"OpenAI for Countries"计划还将"星际之门"推到了国外，其中OpenAI与阿联酋科技公司 G42已签署一项规模空前的合作计划，即在沙漠中建设一个耗电5000兆瓦的AI中心园区。按规模体量， 该AI基础设施远超目前全球任何一个数据中心项目，该园区占地10平方英里，超过整个摩纳哥公国， 耗电量也是得州首个"星际之门"数据中心项目的四倍以上，阿联酋还计划在AI园区建设5个同等规模的 数据中心。此外，OpenAI也打算第一阶段在全球不同国家与地区启动10个数据中心项目的建设。以此 观之，"星际之门"将是一场大范围的AI运动战。 确定性与不确定性 ...

HUAWEI X HUXIU 在通往通用人工智能（AGI）的路上，如何像其他领域一样实现弯道超车，是业界绕不开的 话题。 在过去的十余年时间里，各项单点技术飞速演进，但随着单点技术演进的边际效应递减和系 统复杂度的提升，系统性能的天花板逐步从单点技术的上限演变成系统工程上限：单点优势 越来越像是精致的零件，提升空间有限；但采用系统工程创新，各个部分完美配合、高效协 同，实现整个系统的效能最优，才有更积极的现实意义。 如何在发挥单点技术优势的同时，以整体视角重新构建路径，通过对复杂系统的极致把控与 再组织、找到新的突破可能？解决这个看似不可能的问题，就有望为我们独立引领最前沿技 术发展创造条件。 近期，虎嗅将推出《华为技术披露集》系列内容，通过一系列技术报告，首次全面详述相关 技术细节，为业界提供参考价值。 我们期待通过本系列内容，携手更多伙伴共同构建开放协作的生态系统，助力昇腾生态在中 国的蓬勃发展。 "以非摩尔补摩尔、以集群补单芯片" 在讨论华为如何短时间内实现赶超的问题前，我们需要先明确一个问题："384超节点"算是华 为在制裁下的无奈之举吗？ 不完全是。 除了制裁下寻求破局这个角度，华为打造"超节点"这 ...

一水 发自 凹非寺 量子位 | 公众号 QbitAI 它在LiveCodeBench上几乎与OpenAI o3-high相当，乃至一众网友猜测其为传说中的R2。 编程王者Claude地位不稳了？？ 大模型竞技场最新战报出炉， DeepSeek新版R1拿下网页编程第一，小胜Claude Opus 4 。 要知道Claude Opus 4可是公认的"全球最强编码模型"。 so，能在编程上战胜 Claude Opus 4 ，DeepSeek-R1-0528到底啥来头？ 看名字你可能以为是个小版本更新，但实际上—— | | | | 10/1/2024 | | 5/1/2025 | | --- | --- | --- | --- | --- | --- | | Rank | Model | Pass ... ↓ | | Easy… Medium… | I Hard ... | | 1 | 04-Mini (High) | 79.5 | 98.8 | 86.7 | 63.8 | | 2 | 03 (High) | 75.4 | 98.8 | 81.9 | 57.9 | | | | | 9 | | | | 4 | Deep ...

港大、camel-ai 等多家机构联合提出了一种名为新的名为 Workforce 的创新多智能体框架，以及配套的 OWL（Optimized Workforce Learning）训练 方法，在通用 AI Assistant 的标杆基准测试 GAIA 上取得了 69.70% 的准确率，不仅刷新了开源系统的最佳纪录，更是超越了多家商业系统以及 OpenAI Deep Research 的开源方案。 该研究成果所有代码均已开源，目前已经在 github 上收获了 17k 的 star。 论文标题：OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation 论文地址：https://arxiv.org/abs/2505.23885 项目代码：https://github.com/camel-ai/owl 背景与挑战：多智能体系统的 「 领域壁垒 」 随着 LLM 的飞速发展，单一智能体在处理复杂现实任务时逐渐暴露出局限性。为此，多智能体系统（MAS）应运而生，通过让多个专门化的智 ...

Core Insights - Beijing is recognized as the "Unicorn City" with 115 unicorn companies and a total valuation of $594.9 billion, maintaining the highest number and valuation in the country for five consecutive years [1] - In 2024, Beijing welcomed 23 new unicorn companies, with 13 emerging from future industry sectors such as general artificial intelligence, smart transportation, cell therapy, commercial aerospace, metaverse, new energy storage, and hydrogen energy [1] - The majority of Beijing's unicorn companies are characterized by "hardcore technology," with 71.3% classified as hard tech, reflecting a 28.3% increase since 2020 and an average annual growth rate of 7% [1] Industry Development - Unicorn companies in Beijing are actively exploring new application scenarios, including AI-assisted diagnostic imaging systems in community hospitals and autonomous driving services [2] - The commercial aerospace sector has achieved communication network testing in Thailand through low-orbit broadband satellite internet [2] - Beijing's success as a fertile ground for unicorn development is attributed to its adherence to the growth principles of "ecology-based, innovation-driven, capital-supported, and market-oriented" [2] Supportive Ecosystem - Beijing has implemented the "Unicorn Ten Measures" to provide extensive support for unicorn companies, including tax incentives, land use policies, and talent settlement programs [2] - A dual "government + market" service team has been established to address the daily needs of unicorn companies, resolving nearly 300 requests annually [3] - Over the past five years, 38 unicorn companies have gone public, supported by a long-term focus on "accompanying" innovation cultivation and the establishment of over 500 incubation institutions [3]

Group 1 - OpenAI is facing unprecedented pressure to attract top talent as the pace of AI innovation accelerates, with recruitment being more critical than ever [1] - The company is currently experiencing significant growth pressure, likening its situation to being at MaxQ, the maximum dynamic pressure point of a rocket [1] - OpenAI and other AI developers are engaged in a fierce talent competition to recruit engineers and developers to realize their AI visions [1] Group 2 - OpenAI has recently attracted several notable individuals, including Fidji Simo, the former CEO of Instacart, who has been appointed as the application head [2] - The company has expanded its team size nearly tenfold over the past two and a half years, indicating rapid growth and recruitment efforts [2] - Competitors in the AI industry, including Alphabet and Amazon, are also establishing new positions to enhance their AI capabilities [2]

近日，由北京大学人工智能研究院、北京大学武汉人工智能研究院、北京通用人工智能研究院、北京大 学工学院等联合组成的科研团队露了一"手"。他们成功开发国际首个同时具备全手高分辨率触觉感知和 完整运动能力的机器人手系统F-TAC Hand，实现高分辨率触觉感知机器手类人适应性抓取。该成果发 表在国际学术期刊《自然·机器智能》上。 赵秭杭介绍，人类手部触觉系统由两个关键要素组成：遍布皮肤的密集触觉传感器阵列和大脑中专门解 释这些海量感觉输入的神经处理机制。F-TAC Hand模拟了这种设计，将17个高分辨率触觉传感器以6种 不同配置集成在一起。同时，巧妙设计确保传感器既是感知元件又是结构部件，从而在不牺牲灵活性的 前提下实现前所未有的触觉覆盖范围。这种设计使F-TAC Hand能像人类手掌一样，在抓取过程中实时 感知接触变化并迅速调整，极大提升了机器人在不确定环境中的操作稳定性。 "机器人手高度的关节灵活性会给控制算法带来极大挑战，我们通过开发一种生成人类多样化抓取策略 的算法来解决这一问题。该算法基于概率模型，涵盖了人类常见的19种抓取类型，能实现与人类非常相 似的抓取方式。"论文共同第一作者、北京通用人工智能研究 ...