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Xiao Hong, the founder of General Intelligence Manus, stated that preparations for a domestic version are underway

The founder of the general-purpose intelligent agent Manus, Xiao Hong, stated that when Manus was born, Codex and Claude Cowork had not yet appeared in the market, and the product positioning has always been a general-purpose intelligent agent. He likened Manus to a computer-selling business, believing that users may primarily purchase computers for work, but if they cannot watch videos or play games, the experience will be quite limited; therefore, it should not be confined to office tasks.Xiao Hong indicated that videos and games are important scenarios for unleashing creativity, which need to be perfected through the local client Manus Studio. The related videos for Cue are entirely produced by Manus Studio, without using video generation models; instead, the agent first writes the code, which is then converted into video. With the help of cloud computers, Manus can also create online games that support user participation with friends.In terms of infrastructure, Manus cloud computers can provide cloud-based Linux, Mac, and Windows environments. Xiao Hong stated that when the agent operates the computer in the cloud, it will not compete with the user for the local mouse cursor, and he anticipates that individuals will be able to control large-scale computing clusters in the future to satisfy curiosity and conduct experiments and explorations in fields such as mathematics and science. He also described Cue as having an independent phone number, email, payment capability, computer, and sufficient intelligence, and stated that if such agents could be regarded as humans, there might be more changes in upper-level interactions. Xiao Hong mentioned that building product experiences in an overseas open ecosystem is relatively easier, and Manus is actively preparing a domestic version.

first_img Zhipu Tangjie filed a defamation complaint against Xiaohongshu, ZCode has been open-sourced for rectification

On September 21, netizen "Zhang Kangkang kk" revealed on social media that Tang Jie, the founder of Zhipu and a professor at Tsinghua University, filed a complaint on Xiaohongshu regarding a user post. The complaint stated that the post used phrases like "code is pretty much the same as copy, both start with c and steal code" without factual basis, fabricating rumors that Zhipu's ZCode was involved in code theft and plagiarism. It also used terms like "Uncle Tang Jie" to associate Tang Jie with the plagiarism rumors for character defamation, while utilizing AI technology to synthesize Tang Jie's image with anime materials in a defamatory context. The complainant believed the content constituted malicious defamation and commercial disparagement, damaging both Tang Jie's personal reputation and Zhipu AI's reputation, and requested the platform to take down the post and deal with the user who posted it.On the same day, Zhipu announced that it had completed rectifications regarding the safety issues of the independent desktop AI programming client ZCode in response to community feedback and apologized to all users. The company has open-sourced ZCode, handing over the code to community supervision, and will establish a regular product security vulnerability mechanism moving forward. Previously, developers discovered that ZCode had silently uploaded user local repository data without prior notice. On September 18, Zhipu publicly apologized and made an emergency fix, explaining that the root cause was the "repository indexing" feature, which was enabled by default and had no option to turn it off. On September 20, Taiyuan Chengming Technology Co., Ltd. sent a letter to Zhipu, accusing ZCode of unauthorized uploading of company data assets and trade secrets, making claims for rights protection and reserving the right to pursue legal responsibility.

first_img Zhu Xiaohu: The model API business is difficult to maintain high gross margins in the long term

Zhu Xiaohu, founding partner of Jinsha River Ventures, stated: The model API business is difficult to maintain high gross margins in the long term. Anthropic currently has a gross margin of about 60%, primarily due to the strong intelligence capabilities of the model, especially in coding scenarios where it had a significant advantage, but that advantage has begun to cross a critical point; when other models catch up, the price may only be one-tenth of its current level, making it hard to maintain a high premium. Even if it remains ahead in the next few years, if the intelligence is only 10% stronger but the price is 50% higher, users may not continue to pay. Intelligence will ultimately become more like electricity and water, and the long-term gross margin for model APIs may be between 10% and 20%. Once capabilities converge, price wars will be hard to avoid, and Anthropic's urgency to go public may also be related to the window period.Zhu Xiaohu mentioned that the AI office market is definitely much larger than AI coding. AI coding was the first to emerge because engineers have a high acceptance of AI, tasks are clear, and results are easy to verify, but it is only part of office work; the truly larger market is the white-collar market, namely AI office, which is essentially a general-purpose agent, similar to Microsoft Office. The competitiveness of AI office products lies in Model + Harness + Product + Context, and once harnesses converge, competition will shift to Context.Regarding Tencent AI, Zhu Xiaohu stated that Tencent is a latecomer, and the Hunyuan model has squeezed into the top tier domestically, with WorkBuddy becoming the leading office agent application in the domestic top tier. Jinsha River Ventures has purchased a WorkBuddy enterprise account because it uses WeChat for Work, and the organizational relationships, historical communications, as well as Tencent Meeting and Tencent Docs constitute a ready-made Context.

Researchers claim that purchasing 6TB of relay station data can breach 19 companies including Huawei and Xiaomi

Security researcher Shou Chaofan stated that he just purchased about 6TB of Fable model invocation data from a leading Chinese model relay station, which included sensitive credentials such as SSH keys, VPN configurations, Alibaba Cloud keys, and GitLab tokens. He claimed that the keys in this batch of data were sufficient for him to access the servers or internal systems of 19 leading Chinese companies, as well as 7 Chinese and CIS government-related agencies, including Huawei, Xiaomi, NIO, and MiniMax.The model relay station is positioned between users and models like Claude, so requests and responses pass through it first, allowing it to see the complete plaintext. Once developers insert SSH Keys, API Keys, VPN configurations, etc., into the Agent context, if the relay station saves or even sells these records, the company's system keys will also leak out. This is not the first time Shou Chaofan has warned about the risks of relay stations. A paper he participated in tested 428 LLM relay stations in April and found that 9 actively injected malicious code, 17 actually used AWS test keys deliberately placed by researchers to call AWS, and 1 directly transferred ETH from the test wallet.Shou Chaofan is a co-founder of the blockchain security company Fuzzland and has long been engaged in vulnerability and supply chain security research. At the end of March, he also first discovered that the source map in the Claude Code 2.1.88 release package accidentally exposed about 500,000 lines of TypeScript source code.
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