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腾讯免费安装OpenClaw引热潮，马化腾称未料到如此火爆

简报：

• 腾讯宣布免费安装OpenClaw后，短时间内吸引大量用户，不仅数小时内在腾讯云服务器上完成数百个安装，线下腾讯大厦也出现排队盛况，其创始人马化腾对此在朋友圈发文称“没有想到会这么火”。

相关链接：

• 腾讯免费安装OpenClaw引排队盛况，马化腾发文：没想到会这么火

Tencent's Free OpenClaw Installation Sparks Frenzy, Pony Ma Says He Didn't Expect Such Popularity 🔥

Brief:

• Following Tencent's announcement of free OpenClaw installation, it swiftly attracted a massive user base.
• Hundreds of installations were completed on Tencent Cloud servers within just a few hours. 🚀
• Offline, the Tencent Building witnessed long queues of people.
• Its founder, Pony Ma, commented on his WeChat Moments, "I didn't expect it to be this popular." 😮

Related Link:

• Tencent's Free OpenClaw Installation Leads to Queueing Frenzy, Pony Ma Posts: Didn't Expect It to Be This Popular

王坚院士预测AI“龙虾”将很快降价普及

简报：

• 全国政协委员、中国工程院院士王坚3月8日表示，针对当前AI圈火爆的“养龙虾”现象，他认为AI“龙虾”的价格会很快下降并得到普及，同时行业内人士都已关注到Open Claw的存在。

相关链接：

• 全国政协委员王坚：AI“龙虾”价格很快打下来

Academician Wang Jian Predicts AI "Lobster" Prices Will Soon Drop and Become Widespread 🦞

Briefing:

• Wang Jian, a member of the National Committee of the Chinese People's Political Consultative Conference and an academician of the Chinese Academy of Engineering, stated on March 8th that regarding the current popular phenomenon of "raising lobsters" in the AI community, he believes the price of AI "lobsters" will soon decrease and become popularized. He also noted that industry insiders are already aware of the existence of Open Claw. 🚀🌐

Related Link:

• Wang Jian, member of the National Committee of the Chinese People's Political Consultative Conference: AI "lobster" prices will soon be brought down

因不滿與五角大廈合作，OpenAI機器人主管宣布辭職

簡報： OpenAI機器人與消費性硬體部門主管卡里諾夫斯基（Caitlin Kalinowski）於3月8日宣布辭職，她表示辭職原因為擔憂公司與五角大廈的合作協議是在缺乏足夠評估和明確防護措施的情況下達成的，並對AI技術在未經司法監督的國內監控以及賦予武器致命自主權等應用表達了憂慮。

相關連結：

• 對五角大廈協議憂心　OpenAI機器人部門主管辭職

OpenAI Robot Chief Resigns Over Pentagon Partnership Concerns 🤖

Brief: Caitlin Kalinowski, head of OpenAI's Robotics and Consumer Hardware division, announced her resignation on March 8th. She stated that her decision was driven by concerns that the company's cooperation agreement with the Pentagon was reached without sufficient evaluation and clear safeguards. Kalinowski also expressed worries about the application of AI technology in domestic surveillance without judicial oversight and in empowering weapons with lethal autonomy. 😟🛡️

Related Link:

• OpenAI robot division head resigns over Pentagon agreement concerns

Kimi付费用户激增，Stripe全球支付排名进入前十

简报：

• 根据Stripe数据，Kimi在2026年1月的个人用户支付订单数环比增长8280%，2月再度环比增长123.8%。
• 在Stripe全球支付榜单上，Kimi的排名从1月的第22位跃升至2月的第9位。
• 受Kimi K2.5模型及Kimi Claw带动，自1月底以来的20天内，Kimi的收入已超过2025年全年总和。
• 在OpenRouter的OpenClaw模型调用榜单上，K2.5模型持续保持第一。

相关链接：

• Kimi 1月付费用户订单暴涨80倍，跻身Stripe全球支付榜单前10

Kimi's Paid User Surge: Stripe Global Payment Ranking Enters Top Ten 🚀

Briefing:

• According to Stripe data, Kimi's individual user payment orders increased by 8280% month-over-month in January 2026, followed by another 123.8% month-over-month increase in February.
• On Stripe's global payment ranking, Kimi soared from 22nd place in January to 9th place in February. 📈
• Driven by the Kimi K2.5 model and Kimi Claw, Kimi's revenue in the 20 days since late January has already surpassed its total for the entire year of 2025.
• The K2.5 model continues to hold the top spot on OpenRouter's OpenClaw model invocation ranking. 🌟

Related Links:

• Kimi's Paid User Orders Skyrocketed 80 Times in January, Entering Stripe's Global Payment Top 10

周志华院士：应纠正“大模型万能论”误区，加强AI基础研究

简报：

• 全国政协委员、中科院院士周志华建议，应纠正盲目跟风“大模型解决一切”的误区，避免资源过度集中于应用层，加大对AI算法基础研究的支持。
• 提倡变革人才培养模式，例如支持AI专业博士生在攻读博士学位期间，跨学科攻读一个科学专业的硕士学位，以打造复合型人才队伍。
• 建议构建跨学科的“双向翻译”与协作机制，一方面由科学领域学者向AI研究者翻译科学问题，另一方面由AI科学家向传统领域学者进行科普。
• 提议由国家相关部委牵头，构建国家级科学数据共享与服务平台，强化数据治理。

相关链接：

• 中国科学院院士周志华：建议纠正盲目跟风大模型解决一切误区

Academician Zhou Zhihua: Correct the Misconception of "Large Models Solve Everything" and Strengthen AI Basic Research 💡

Briefing:

• Zhou Zhihua, member of the National Committee of the Chinese People's Political Consultative Conference and academician of the Chinese Academy of Sciences, suggested that the misconception of blindly following "large models solving everything" should be corrected, resources should be prevented from over-concentrating on the application layer, and support for basic research in AI algorithms should be increased. 🔬
• He advocated for reforming talent cultivation models, for example, supporting AI doctoral students to pursue a master's degree in a scientific discipline concurrently during their doctoral studies, to cultivate a versatile talent team.
• It is recommended to establish an interdisciplinary "two-way translation" and collaboration mechanism, where scholars in scientific fields translate scientific problems for AI researchers, and AI scientists popularize knowledge for scholars in traditional fields.
• It is proposed that relevant national ministries and commissions take the lead in building a national scientific data sharing and service platform to strengthen data governance. 📊

Related Link:

• Academician Zhou Zhihua of the Chinese Academy of Sciences: Suggests Correcting the Misconception of Blindly Following Large Models Solving Everything