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Honor has traditionally taken an unconventional approach to naming. Its new proprietary YOYO Claw platform is another example of this approach, introducing the so-called “Shrimp” category of laptops. The name looks unusual, but the idea behind it is much more pragmatic. The YOYO Claw is Honor’s attempt to form a new segment of AI computing that eliminates complex setup steps, reduces operational costs, and minimizes privacy risks with a separate layer of protection. The device is delivered fully configured: the user receives 5 main “shrimp” categories and 23 subcategories that are available immediately after launch without the need for API adaptation or manual programming. The system independently performs intelligent task deployment, simplifying interaction with AI.
This approach solves one of the key problems of modern AI solutions. The use of such tools on personal devices usually involves complex API configuration, model management, and regular maintenance, which is too burdensome for most users. In the case of YOYO Claw, these barriers are eliminated thanks to the out-of-the-box environment. All 5 categories and 23 subcategories are available as soon as you open the device, without the need to go through complex setup steps or write code. The system takes over the task management.
In its philosophy, it resembles early Chromebooks, which gained popularity due to their simplified use and lower entry threshold. At the same time, the key difference lies in the focus: while back then it was about web surfing, now the main use case is related to AI-based tasks.
Special attention is paid to the efficiency of token use. Performing AI operations on a large scale is directly related to costs, as tokens have a monetary value. Honor claims that due to the intelligent evaluation of tasks, token consumption is reduced by 50% compared to the Open Claw solution. For users who regularly work with AI, this means a significant reduction in costs in the long run. The extent to which this figure will be confirmed in real-world scenarios remains to be seen in independent tests, but the direction of development seems logical, as the efficiency of AI tasks is gradually becoming a key competitive factor.
Security is implemented through a separate module called Independent Security Shrimp, which is not just a program option in the settings. The system automatically identifies potentially risky operations, blocks them, and requires additional confirmation from the user to perform sensitive actions. This approach with two levels of control is appropriate for an AI-powered device that can interact with personal data and meets the requirements of the corporate segment.
The name may sound unusual, but behind it is a practical attempt to rethink the approach to AI computing. Final conclusions on the effectiveness of YOYO Claw can be made only after the results of real tests are available.
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