据路透社报道，软银集团旗下愿景基金（VisionFund）将在全球范围内裁员近20%的员工，创下风投史 上最大规模裁员纪录。软银集团董事长孙正义在全力押注人工智能后，担负投资功能的愿景基金也将投资 方向集中到人工智能领域。 愿景基金为何裁员？ 公开资料显示，愿景基金成立于2017年，截至2025年3月的年报显示，该基金目前规模1573亿美元，包 括愿景基金一期、二期和拉美基金。记者查询软银集团历年财报发现，愿景基金在截至2020年3月的财年 达到员工规模峰值，当时员工人数多达474人。 但自2022年开始，该基金开始持续裁员。目前在全球拥有300多名员工。但与前几轮集团背负重大亏损不 同，本次裁员是在公司实现强劲业绩背景下出现。 在2025—2026财年第一季度（4月—6月），公司实现了净营收1.82万亿日元，同比增7%，超市场预期 的1.7万亿日元；实现税前利润6899.4亿日元，同比大增205.7%；实现净利润4218.2亿日元，扭亏为 盈，高于市场预期的1582.3亿日元。 同时，愿景基金也交出了一份让投资者满意的答卷。该季度愿景基金部门投资收益达7268.37亿日元，税 前利润4513.94亿日元，去 ...

RT s4mmy (@S4mmyEth)Nansen 7-day net inflows are coming in strong for AI coins containing real use cases.Looking at the top four in order of ROI this week:i) SERV @openservai- Leading performer: up 57.22% this week with $868K in buys.- $34.3M market cap, $1.59M liquidity.Openserv recently teased its agentic applications (aApps) with the intention of creating a revenue first ecosystem.Their Berlin hackathon saw 8 viable aApps developed in a single day. Other developments include:- Browser Use: SERV SDK agent ...

RT s4mmy (@S4mmyEth)Nansen 7-day net inflows are coming in strong for AI coins containing real use cases.Looking at the top four in order of ROI this week:i) SERV @openservai- Leading performer: up 57.22% this week with $868K in buys.- $34.3M market cap, $1.59M liquidity.Openserv recently teased its agentic applications (aApps) with the intention of creating a revenue first ecosystem.Their Berlin hackathon saw 8 viable aApps developed in a single day. Other developments include:- Browser Use: SERV SDK agent ...

Market Trends & Investment Opportunities - Nansen 数据显示，具有实际用例的 AI 代币在 7 天内净流入强劲 [1] - SERV (Openservai) 本周 ROI 领先，上涨 5722%，买入额达 868000 美元 [1] - GAME (Virtuals) 上涨 4716%，7 天内净流入 708660 美元 [4] - REI (ReiNetwork0x) 上涨 4188%，7 天内 DEX 净流入 808660 美元 [5] - FET (Fetch_ai) 本周上涨 1531%，净流入 136040 美元 [6] Company Developments & Technologies - Openserv 正在开发 agentic applications (aApps)，旨在创建一个 revenue first 生态系统 [1] - Virtuals 的 GAME SDK 备受关注，Agent Commerce Protocol (ACP) 预计即将推出 [2] - REI 的 "Bowtie" 架构的双内存系统反映了认知科学的进步，灵感来自 2025 年初发布的人脑研究 [3] - Fetch_ai 是 Artificial Super Intelligence (ASI) 的核心组成部分，ASI 是 Fetch AI、SingularityNET 和 Ocean Protocol 于 2024 年合并而成的去中心化 AI 集体 [6] - Fetch_ai 宣布 5000 万美元的代币回购计划，以支持 ASI:One 的推出 [6]

Nansen 7-day net inflows are coming in strong for AI coins containing real use cases.Looking at the top four in order of ROI this week:i) SERV @openservai- Leading performer: up 57.22% this week with $868K in buys.- $34.3M market cap, $1.59M liquidity.Openserv recently teased its agentic applications (aApps) with the intention of creating a revenue first ecosystem.Their Berlin hackathon saw 8 viable aApps developed in a single day. Other developments include:- Browser Use: SERV SDK agents can now browse the ...

Core Viewpoint - The emergence of artificial general intelligence (AGI) is anticipated within the next five to ten years, according to Demis Hassabis, CEO of Google DeepMind, who emphasizes that current AI systems are still limited in their capabilities [2][3]. Group 1: Predictions on AGI Timeline - Demis Hassabis predicts that AGI will start to emerge in the next five to ten years, highlighting the need for further research to enhance AI capabilities [2][3]. - Other industry leaders have varying predictions, with Baidu's CEO Robin Li suggesting AGI is "more than 10 years away," contrasting with more optimistic views from others like Dario Amodei of Anthropic, who sees advancements in "the next two or three years" [4][5]. - Cisco's Chief Product Officer Jeetu Patel believes AGI could be evident as soon as 2025, indicating a more immediate timeline compared to Hassabis [6][7]. Group 2: Challenges in Achieving AGI - Hassabis identifies the primary challenge in achieving AGI as the need for AI systems to understand real-world context, which is more complex than performing tasks in controlled environments like games [8][9]. - The development of "multi-agent" AI systems is gaining traction, which could facilitate better communication and cooperation among AI agents, a necessary step towards achieving AGI [10][12]. - DeepMind's work on AI agents in games like "Starcraft" illustrates the progress being made in developing agent-based systems that can compete and cooperate, which is essential for real-world applications [11].