Core Insights - Intapp and Harvey have announced a strategic partnership to integrate ethical wall enforcement into Harvey's AI platform, addressing compliance challenges in the legal industry [1] - The partnership aims to ensure that AI-generated work adheres to professional responsibility obligations, maintaining client confidentiality and regulatory compliance [1] Company Overview - Intapp is a leading provider of AI-powered solutions for professionals in advisory, capital markets, and legal firms, helping to unlock knowledge and operational insights [1] - Harvey specializes in domain-specific AI for legal and professional services, streamlining workflows in areas such as contract analysis and compliance [1] Partnership Details - The integration of Intapp Walls for AI into Harvey's platform will ensure that all AI interactions are permissioned, auditable, and compliant with ethical walls and firm policies [1] - This partnership addresses a governance gap in AI usage within law firms, where traditional governance protocols have not been applied [1] Market Impact - The collaboration is expected to enhance the trust and integrity of AI applications in legal practices, allowing firms to leverage AI while adhering to high standards of professional responsibility [1] - Both companies aim to lay the foundation for future workflows that operate within compliance boundaries by design [1]

Core Viewpoint - Three major South Korean terrestrial broadcasters, KBS, MBC, and SBS, have filed a lawsuit against OpenAI, the developer of the AI chatbot ChatGPT, for allegedly using their news content without authorization for model training [1] Group 1 - The broadcasters are seeking compensation from OpenAI for the unauthorized use of their content [1] - The lawsuit requests the Seoul Central District Court to prohibit OpenAI from continuing to use the related content without permission [1]

号称能"接管电脑、解放双手"的AI Agent（AI智能体）工具OpenClaw最近在技术圈火得一塌糊涂。 它被吹捧为"AI打工人"，似乎只要下个指令，它就能替你写文章、发邮件甚至买咖啡。但事实真的如此吗？它是生产力神器，还是仅供技术极客尝鲜的"玩 具"？ 近日，《每日经济新闻》记者（以下简称每经记者）联合每经科技开发人员，展开了一场深度实测。我们将OpenClaw分别接入千问Qwen3-Max、月之暗面 Kimi-K2.5、MiniMax-M2.1、MiniMax-M2.5和智谱GLM-4.7五款国产大模型，以及OpenAI的GPT-5-mini，要求它们完成本地文件检索、网络资料搜索、 稿件撰写、发送邮件等步骤，试图揭开这位"指挥官"的真实战力。 实测结果显示，部分模型表现不佳，尤其是在需要操控浏览器的环节，如网络搜索和发送邮件，大多失败。有专家直言，当前的OpenClaw不仅难用、费 钱，更是一场安全的"噩梦"。 实测对比：GPT-5、MiniMax、智谱完成任务，另两款大模型"行动力"不足 OpenClaw本身并非大模型，它更像一个"指挥官"，负责接收用户指令、调用工具和组织流程，并将指令理解与具体工 ...

Core Insights - Demis Hassabis, CEO of DeepMind, predicts a new era of discovery and a renaissance in the next 10 to 15 years, driven by advancements in artificial intelligence (AI) [2] - AI is expected to revolutionize medicine through personalized treatments and breakthroughs in energy solutions, enabling interstellar exploration [2] - Google faces a critical turning point with the rise of generative AI, necessitating a self-disruption to maintain its competitive edge [3] Company Restructuring - In response to competition from OpenAI's ChatGPT, Google underwent a significant internal restructuring, merging its research divisions Google Brain and DeepMind under Hassabis's leadership [3] - The integration aims to leverage the strengths of both teams and enhance the computational capabilities required for training advanced models like Gemini [3] - Following the release of models such as Gemini 3 and Nano Banana, Alphabet's stock surged approximately 65% by the end of the year, indicating the success of the restructuring strategy [3] AI in Biology - Hassabis highlights the application of AI in biology as foundational for the new era, citing DeepMind's AlphaFold model, which addresses the protein folding problem and predicts the 3D structures of over 200 million proteins [4] - AlphaFold has been utilized by over 3 million researchers and has contributed to Hassabis receiving the 2024 Nobel Prize in Chemistry [4] - Isomorphic Labs, a subsidiary of Google, is applying AlphaFold technology to drug development, aiming to enhance efficiency by 1000 times through computer simulations [4] Future Aspirations - Hassabis emphasizes that the challenging schedule and company restructuring are necessary steps toward achieving the ultimate goal of solving intelligence and leveraging it to address other global issues [5] - The next decade is anticipated to be a period of significant technological transformation, but Hassabis remains confident in the long-term vision of utilizing intelligence to tackle various challenges, potentially including space exploration [5]

Core Insights - Anthropic has launched Claude Code Security, an AI tool designed to scan for vulnerabilities in software code and suggest solutions [1][3] - The tool is integrated into Claude Code and aims to help teams detect and fix security flaws more efficiently [3] Group 1 - Claude Code Security is currently available in a limited preview for enterprise and team customers [3] - The tool scans code repositories for security vulnerabilities and recommends targeted software patches for manual review [3] - Each discovery undergoes a multi-stage validation process before being submitted to analysts, ensuring accuracy and reducing false positives [3] Group 2 - Each finding is assigned a severity rating to help teams prioritize the most critical fixes [3]

Core Insights - Shenzhen is positioning itself as a global leader in artificial intelligence (AI) by integrating AI into various sectors, aiming for a core industry revenue of 220 billion yuan by 2025 with over 2,600 enterprises [1][13] - The city has established a robust AI innovation ecosystem characterized by high-density innovation entities, with over 93% of R&D investment coming from enterprises [3][13] - Shenzhen's AI applications are being tested in real-world scenarios, with nearly 300 "city + AI" application scenarios addressing urban governance and industrial upgrades [6][13] Group 1: AI Industry Development - Shenzhen's AI industry has maintained double-digit growth, with significant contributions from enterprises that focus on specialized fields such as machine vision and AI chips [3] - The local humanoid robot industry has a 70% local supply rate, enhancing the resilience of the industrial chain [3] - The establishment of the Shenzhen Leading Edge Intelligent Open Research Institute aims to explore cutting-edge technologies and create a core hub for edge intelligence [5] Group 2: Policy and Infrastructure - The "Artificial Intelligence + Advanced Manufacturing Action Plan (2026-2027)" indicates a shift from isolated breakthroughs to a systematic reconstruction of AI's role in the manufacturing sector [5] - Major facilities like the National Supercomputing Center in Shenzhen are being developed to provide accessible intelligent computing power for SMEs [10] - The city is fostering a collaborative ecosystem through initiatives like the "6S" model for AI hardware, which reduces development cycles from months to weeks [11] Group 3: Real-World Applications - Shenzhen is utilizing the entire city as a testing ground for AI, with a focus on practical applications that meet real demands [6] - The introduction of 82 new low-altitude logistics routes by 2025 will enhance the efficiency of drone delivery services [6] - The establishment of the global AI application scenario center in Huaqiangbei aims to create a comprehensive model for AI application and industry integration [7]

撰文｜画画 2026 年开年，当很多人沉迷于红包大战数据时，硅谷科技圈已经被一条传闻惊到了： OpenAI 内部正在悄悄放弃一个统治互联网 20 年的核心指标 DAU（日活）。 所有人第一反应都是不信。 要知道，ChatGPT 的周活刚刚突破 8 亿，是人类历史上增长最快的消费级产品。 按照互联网的传统逻辑，这应该是最值得炫耀的数据。 但是根据外媒报道，OpenAI的产品负责人在会上说了一句话：DAU告诉我们有多少人打开了ChatGPT，但它无法告诉我们，这些人创造了多少 价值。 OpenAI盯上了一个新指标： TPD，也就是Token Per Day，每日Token消耗量。 因为他们发现，一个每天只打开一次ChatGPT、但驱动着20个Agent自动工作的用户，比100个每天聊10句话的用户，更有价值。 这不是数字游戏，而是AI时代的底层逻辑正在发生根本性改变。 1、统治了20年的指标，为什么失效了？ DAU衡量的是什么？是人的注意力。 过去二十年，互联网的本质是注意力经济。 谁抢到用户更多的时间，谁就能卖更多广告、推更多商品、收更多会员费。所以产品经理的KPI永远是那几个词：DAU、用户时长、留存率。 微 ...

华为又一次走在前列，助力中国人工智能产业打造又一张王牌！ 近年来，中国人工智能产业快速发展，国际排名不断上升，创新指数已经位列全球第二，论文数量和专 利申请量已经位列全球第一，创造了世界瞩目的成绩。 同时，人工智能算力网络还促进各个区域网络互联建设——如在国家重点支持发展的人工智能的几个区 域"长三角、粤港澳大湾区、京津冀、成渝经济圈，长江经济带（武汉、长沙等）"形成区域的协同和科 研创新、应用创新的联动，推动更多大模型出现。 作为中国科技企业领军的华为，已多次引领中国人工智能产业发展，如今再一次走在前列，助力中国人 工智能产业新王牌，推动中国人工智能产业发展！#赞！中国人工智能超级速度# 相关视频：网页链接 (42 17 . . ...... .. **** .... .... : Ti . . .. ▲ . Post province . . . . . . . . . .. .. .. .. .. . . . . . . . . . . . . . . . . . . . . . . . . . .. ***** .. ...... .. .. .. .. .. * ****** ratives ... ...

IT之家2 月 23 日消息，一位熟悉内情的人士 2 月 20 日告诉路透社，OpenAI 计划到 2030 年总共支出约 6000 亿美元（IT之家注：现汇率约合 4.15 万亿元人民币）的计算费用。 该人士表示，OpenAI 在 2025 年的收入总额达到130 亿美元（现汇率约合 898.46 亿元人民币），超过了 其 100 亿美元的预期，而该年度支出为 80 亿美元（现汇率约合 552.9 亿元人民币），低于其 90 亿美元 的预算目标。 来源：IT之家 据 CNBC 此前报道，OpenAI 预计到 2030 年总收入将超过 2800 亿美元（现汇率约合 1.94 万亿元人民 币），几乎平均分配在其消费者和企业部门。 另据《The Information》报道，OpenAI 已告知投资者，其运行 AI 模型（即推理）相关的费用在 2025 年增加了四倍，导致其调整后毛利率从 2024 年的 40% 下降至 33%。 ...

没想到，2月21日它就整了波大活，发了封致歉信，承认GLM-5发布后犯了三个错。 前两天，才和大家聊了聊在港股创下暴涨神话的智谱AI，就在前一个交易日，这家上市仅一个多月的"全球大模型第一股"，凭着单日暴涨42.72%的行 情，把市值干到3232亿港元，超越一堆老牌互联网大厂，成了开年国内最猛的科技黑马。 一是GLM-5算力消耗高于老模型，公司设置高峰3倍、非高峰2倍的扣费倍率，却未提前完整公示，引发用户反馈用量异常、消耗过快。 二是GLM-5上线后流量远超预期，叠加黑灰产、黄牛恶意占用算力，公司算力扩容没跟上，只能按用户等级分阶段限流，很多付费用户无法正常使用核 心模型。 三是老用户升级机制设计粗糙，不少老用户误升级新套餐后权益受损，公司既无提前风险提示，也未设置回滚通道。 对此，智谱同步推出整改与补偿方案。 整改上，完整公示扣费规则，用量看板刷新缩至10分钟，明确模型分级开放节奏，承诺打击黑灰产、扩容算力。 补偿上，2026年1月1日-2月21日的Lite、Pro付费用户可全额退款，误升级老用户支持一键回滚，全量订阅用户统一延长15天使用期。 如今智谱已搭建起完整产品体系，包括面向普通用户的AI助手智谱清 ...