As the shrimp farming craze spreads from the geek circle to the general public, concerns about data security and system control are being raised.
Previously, Summer Yue, the AI alignment and security director at Meta's Superintelligent Lab, specifically set a &#34;confirm before action&#34; safety instruction for OpenClaw during a test.
However, she could only watch helplessly as OpenClaw emptied her inbox containing important emails at an astonishing speed, completely unable to cut off the process in time to stop it.
This is the potential risk of OpenClaw in a locally deployed mode.
In the face of frequent security risks associated with &#34;shrimp farming,&#34; the industry urgently needs a new security paradigm to help ordinary users &#34;farm shrimp painlessly.&#34;
Baidu has officially entered this field, launching the world's first mobile lobster application, &#34;Red Hand Operator.&#34; On March 17, the application &#34;Red Hand Operator&#34; was officially renamed Red Claw. Users only need to download and register to directly command this &#34;mobile lobster&#34; to perform various tedious tasks on their behalf.
All-weather technology's practical test found that the operating model used by Red Claw is qianfan, deepseek-v3.1-250821, which can mobilize apps on the phone for a series of tasks such as ordering food and booking tickets.
According to All-weather Technology, Red Claw has introduced a strict &#34;three-layer isolation system&#34; in its architectural design:
First, physical-level isolation at the bottom layer. The application runs entirely on a cloud mobile phone, completely physically isolating data from the real mobile device in the user's hand. The application itself does not access or require user authorization for locally stored real data;
Second, environmental isolation. Each user is allocated a dedicated cloud mobile phone, achieving absolute isolation between devices;
Third, task data isolation. Multiple data encryptions ensure that information between tasks does not cross over.
In addition, in terms of permission and visibility control, Red Claw emphasizes &#34;ownership of initiative&#34; in its product design, meaning that every action taken by the AI is fully visible and traceable to the user. When it comes to key nodes involving privacy or requiring authorization, the cloud process will be forcibly suspended, and must wait for user confirmation or manual intervention before proceeding.
This, to some extent, provides a highly secure &#34;pain-free trial and error&#34; environment for mass users.
However, moving the &#34;lobster&#34; to the cloud does not eliminate the problems; it merely exists in a different form.
The most intuitive change is efficiency.
The logic of local execution is immediate response, while cloud mobile phones inevitably introduce additional links such as network round trips and virtual device scheduling. The impact on standardized tasks like ordering food and booking tickets is manageable, but once it enters multi-step scenarios that require real-time feedback, delays will be magnified. What was originally a seamless operation is broken down into segments waiting for confirmation, and fluidity begins to turn into a cost.
Visibility does not necessarily lead to an increase in control.
&#34;Every step is visible and traceable&#34; reinforces a sense of security in design, but when tasks are broken down into numerous fragmented operations, users face more of a continuously scrolling execution log. The role of the person easily shifts from decision-maker to passive confirmer
Seeing does not equal understanding; confirmation does not completely equal true control.
Isolation is also redefining the boundaries of capability.
The permissions that a cloud phone can invoke essentially depend on the platform's adaptation range, rather than the full capabilities of the user's device itself.
This means that while risks are reduced, the system has converged from being an &#34;almost omnipotent agent&#34; to a &#34;defined automated tool.&#34;
The so-called physical isolation is more like a transfer of trust.
Data is no longer exposed locally, but users need to trust the security of the cloud environment itself.
Cloud operation will also bring cost challenges. Each user having an independent cloud phone, running continuously online, does not come without significant consumption of computing power and resources. As the user base expands, the platform must either bear the pressure of continuous subsidies or hedge costs through restrictions and tiered charging. This structure determines that it is more like a phased solution rather than an infinitely extrapolatable end form.
Another more subtle change is the weakening of risk perception.
In a local environment, errors often occur directly on the user's device, with clear and immediate feedback. However, under cloud isolation, errors are &#34;wrapped&#34; up, and the impact is delayed or even partially dissipated. This &#34;safer&#34; experience may also weaken users' sensitivity to risk boundaries.
In the long run, the &#34;cloud isolation method&#34; seems to be a compromise path that balances commercial proliferation and risk control while AI is not yet fully mature. It addresses the most pressing uncertainties but also introduces new trade-offs.
When the computing power and security barriers of future edge-side large models are strong enough, whether &#34;cloud lobsters&#34; can truly &#34;swim back&#34; to the user's local real device safely will be a major highlight in the next competition of intelligent technology

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As the shrimp farming craze spreads from the geek circle to the general public, concerns about data security and system control are being raised. Previously, Meta's superintelligence

- The article discusses the rising concerns about data security and system control amid the growing popularity of AI applications like OpenClaw.  
- Baidu has introduced a mobile lobster application named Red Claw, designed with stringent security measures, including a three-layer isolation system and user visibility on AI actions.  
- However, the shift to cloud deployment may introduce latency and alter task execution dynamics, ultimately balancing between greater security and potential new risks that users must navigate.

Baidu's Isolation Method for "Shrimp Farming" Explained