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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.

There are 106 national embodied intelligence data collection centers and over 5,000 robots

According to a research report released by Tiger Sniff on September 20, as of August 2026, there are a total of 106 publicly disclosed centralized embodied intelligence data collection centers in the country, of which 84 are in operation, accounting for 79.25%. 52 centers disclosed the number of deployed robots, totaling approximately 3,972 units, which estimates that there are at least over 5,000 robots operating in data collection centers nationwide. The peak of construction is expected in the first quarter of 2026, after which new projects will significantly decrease, and the industry will shift from intensive construction to concentrated operation.In terms of regional distribution, Jiangsu, Zhejiang, and Guangdong have 18, 17, and 11 centers respectively, Sichuan has 8, and Beijing has 7. In terms of robot brands, Zhiyuan Robotics appeared 31 times, Leju 15 times, UBTECH 13 times, and Yushu Technology and Galaxy General each 10 times. 65.96% of data collection centers use a single robot brand, while 34.04% adopt a multi-brand strategy, and cross-entity data reuse remains a challenge.Regarding data pricing, the current real machine data costs about 500 to 1,000 yuan/hour, UMI and other non-entity data costs about 300 to 400 yuan/hour, and simulated synthetic data costs about 200 to 500 yuan/hour, with remote operation collection accounting for 79.05%. The report points out that centralized data collection has not yet formed a stable commercial closed loop, with buyer growth lagging behind base expansion. Centers that primarily rely on one-time construction funding will face greater operational pressure, and the industry elimination race has already begun.
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