The world of AI lobsters just got a lot more crowded. There are more lobsters now. And more people raising them. But not all lobsters are the same. Some are safer than others.
In March 2026, a new global AI lobster craze hit China.
Some call it a small lobster. Some call it an AI lobster. The truth is, it is a digital pet you can raise and control with code. You can even make it evolve with AI.
The user base spans from 2 year old kids to 60 year old adults. Everyone is talking about it. Everyone is raising lobsters. It has become a social phenomenon.
Some people say this is just a passing trend. But the lobster craze has not slowed down. It keeps growing.
On the same platform, the price gap is huge. A top tier lobster costs 499 yuan. A regular one costs 299 yuan. Small lobsters, fish, and crabs are even cheaper. The lobster economy is real. And it is getting bigger.
But why lobsters?
The answer is simple. People could not find the right lobster. They did not have enough tokens. And they did not want to raise just any lobster.
Meta AI research lead Summer Yue has warned about OpenClaw security. The OpenClaw lobster craze has made many people ignore the risks. Professional AI security teams have been sounding the alarm. But most users do not know.
So when ByteDance launched ArkClaw, it was a big deal. The product promised to solve one key problem. How do you raise a lobster safely?
Here is what we found after testing it.
How to Raise a Lobster with ArkClaw
The setup is simple. ArkClaw is ready to go.
In short, OpenClaw works well. But ArkClaw makes it safer.
After coding the plan, open the console. The lobster is ready. Name it. Set the mode. And use tokens to make it evolve.
User interface when creating a lobster
The model supports Seed 2.0 series. It also supports DeepSeek, Kimi, MiniMax, and GLM. It has auto mode and manual mode.
The image model Seedream and video model Seedance are also available. You only need one API key to use them.
From here, the lobster is no longer just a pet. It becomes a tool.
Another surprise is the multi platform support. It works with IM platforms. And it works with office tools.
The key feature is the scan to use function. Open the app. Scan the code. And you are ready. You can connect to Feishu, DingTalk, WeChat, enterprise WeChat, and other office apps.
Of course, some features need user permission. The scope is clearly defined. Bad permissions are blocked right away.
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Scan once and install. It is that easy.
The file system uses TOS. It has dual backup. And it has direct read write access. The path is already open.
After that, you can name your clothes remover lobster. You can set its traits. And you can start raising it.
In test mode, we tried it. The results were impressive.
How Fast Is ArkClaw
Speed is key when raising lobsters. And ArkClaw delivers.
The main reason is the xx-Claw platform. It has a clear order. And it runs smoothly.
But we also tested other platforms. Why do we need ArkClaw?
This time, ArkClaw uses ai porn generation the strong Seed 2.0 Pro model. It has a full system. It has a platform. It has image generation. And it moves the lobster to one platform.
We chose a topic. The lobster writes and edits.
In ArkClaw, each task is a Skill.
Normally, you write a prompt. The lobster does the rest. With Skill, the work is faster.
There are two ways to install. Auto pick. Or manual write.
We tested it in a real office setting. Here are the results.
Why is it so fast? Because it is well made.
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A colleague posted in the group. He said he finished a 9 day work task in one day.
The lobster set the time, place, and topic. All done automatically.
The best part is the group chat feature. You do not need to leave the app. ArkClaw sends updates directly to the group.
Before this, we tested topic picking.
We gave the lobster a task. DeepMind official site. OpenAI official site. Anthropic official site.
ArkClaw finished quickly.
The interesting part is that it can verify info sources. It checks the source. It checks the data. And it gives a full report.
At 9 AM, the topic report was done. It was the same as a new paper. The new paper was about DeepMind AlphaGo. It had 37 pages. And it was about AGI.
The task was set. ArkClaw wrote the Skill. The lobster wrote the code. And it ran.
The paper had data. It had analysis. It had tests. It had a tail section. And it had 3000 words.
The structure was solid. The logic was clear.
The lobster wrote the outline. It wrote the content. And it kept it under 2000 words.
In one morning, a full report was ready.
Then we sent it to the group. We asked the lobster to make a cover image.
Soon, a stunning AI image was ready.
During the process, topic picking, outline, writing, and images were all done by the lobster. Not one mistake.
Stock Analysis Agent Gets Real Time A Shares
Next, we tested ArkClaw on a stock analysis system. This is where it gets interesting.
We installed the QVeris Skill. It gets real time stock data.
Then we asked one question. Is this stock in the top 10?
ArkClaw searched stock prices, news, and data. It checked the source. And it gave a full report.
During the process, it used search. It used data. And it used analysis.
We gave one command.
Track this A share stock. For each trading day, auto grab open price, close price, high, low, and volume. At 4:45 PM, auto generate a report. And predict next day trends.
The lobster changed the project structure. It set the data path. It wrote the collection script. It set the time. And it ran.
The first report was done. It had 72 stocks. It had 2 stops. It had guides. It had manual work. And it had data sources.
Then it synced with the group. Every day at 4:45 PM, the report came. The full history was saved.
One Person Controls 4 AI Lobsters
Writing and coding are what lobsters do best. But can they work as a team?
The answer is yes. ArkClaw builds a 4 person AI agent team. And it runs on OpenClaw.
We installed collect-role and generate-agent. Then we gave one command. The lobster team was ready.
3 agents were assigned. Agent 1 collects info. Agent 2 does the work. Agent 3 checks the quality. And 1 expert joins to review the data and make the final report.
The agents use Seed 2.0-lite. The expert uses Seed 2.0-pro. They talk to each other. And they work together.
In one test, the agents worked on a project.
Agent 1 got data from GitHub, official docs, and product sites. It got features, prices, and security info.
Agent 2 looked at the data. It found pros and cons. It looked at tech details. And it checked business models.
Agent 3 did a deep compare. It found that even short videos had full installs.
The expert then wrote a full report. It had structure. It had data. And it had an OpenClaw install list.
Then one sentence came. The report is done. Send it to the group.
The lobster sent the report to the group. It set the time. And it stopped.
At the same time, it sent the report to the user. It sent the method. And it sent the file.
One command. And the lobster lives.
Of course, the lobster is fast. But it also has limits.
The key limit is planning. This is the first test.
Agents work step by step. They do one thing at a time. They break tasks down. They plan paths. And they execute.
For a stock project, the lobster sets commands, tasks, project structure, and time. Seed 2.0 plans the path. And it runs.
Writing is also a test. It needs data. It needs logic. And it needs a full report. The lobster writes it all.
The key is getting the data.
For agents, data sources are the core.
Seed 2.0 Skills use search. They use expert data. And they use Function Call. In a loop, they search and find.
The model knows the knowledge base. And it knows the edges.
ArkClaw uses the Seedream model to make images. It makes cover images. And it makes lobster world images.
The search also uses the Seed model. It reads K line charts. It reads stock info. It reads news. And it writes reports.
Multi image and multi video make the lobster world richer. And the cover image is done.
Data sources are the key.
ArkClaw uses Huashan search. It uses Skills. It uses Tavily. And it uses sea search APIs. All in one.
In the data layer, there are many sources. There are news sites. There are finance sites. There are video sites. There are images. There are cards. There are short videos. And more. These sources are API based.
In the search layer, unlike old tools that use one web page, the lobster goes to the web itself. It gets the info.
Huashan search gives structured data. It gives stock prices. It gives news. It gives video. And it gives markdown. The agent uses it all. It saves time.
In the test, Tavily was fast. It was good for news. And it was good for search.
Huashan search optimizes the source. It gets the right data. And it is fast.
From AI search to A share data, from news to info, all are in one place.
Another feature worth noting is the new update.
Of course, ArkClaw also has limits.
In the mobile version, the lobster can write code. It can write files. And it can run them. But the mobile app is still basic.
Why do people still use lobsters? Because the lobster world is new. And it is growing fast.
OpenClaw Security Risks You Need to Know
Open source tools always have risks. And OpenClaw is no different.
In January 2026, DepthFirst researcher Mav Levin found a major bug. It was a backend leak.
OpenClaw control platform uses URL params. It points to local addresses. And it has no check.
An attacker sends one link. The user clicks. And the token is stolen.
The bug is CVE-2026-25253. It has a CVSS score of 8.8. It is a high risk. Steinberger first found it. Then Docker sandbox control was also affected.
22 lobsters were hit in one attack.
The bug is serious. And many users do not know.
The security team scanned. They found the same bug. OpenClaw was exposed. And it was proven.
Researcher Maor Dayan tested it. He found 42665 hits. And 93.4 percent were direct attacks.
The reason is simple. Many users do not set passwords. They use default settings. And they get hit.
After the bug, Salesforce, GitHub, and Slack tokens were stolen.
The risk is real. And it is growing.
Koi Security researcher Oren Yomtov used Alex to scan ClawHub. He found 2857 packages. And 341 were bad. That is 12 percent.
The bad packages do many things. They steal keys. They steal money. They track YouTube. They steal API keys. And more.
In 2 months, 824 attacks were found. That is 20 percent of all.
At the same time, the lobster world is changing. NVDB warns users. If you use OpenClaw, check your lobster. Delete bad skills. And reset tokens.
But that is not enough. On March 9, OpenClaw had 82 high risk bugs. 12 were critical. And 21 were high.
The new version has fixes. But old versions still have risks. Users need to update. And they need to stay safe.
How ArkClaw Fixes OpenClaw Security
These bugs hurt OpenClaw. But ArkClaw fixes them.
Platform security is key.
The lobster world is new. And it is risky. ArkClaw adds a full security system. It has default safe mode. It has auth. It has sandbox. And it has skill check.
Each user lobster runs in its own space. Storage and data are locked. One lobster cannot see another. And users do not need to set anything. The platform does it all.
Another key is supply chain safety. ClawHub has bad skills. ArkClaw scans them. It checks skills. And it blocks bad ones.
After the scan, the platform checks each skill. It tests it. And it blocks bad ones. Out of 341 bad skills, ArkClaw found them all.
The scan is fast. And it is full. It matches the Summer Yue email. And it deletes bad skills.
Auth is just the first step. When the lobster runs, it checks every command. And it checks every skill.
ArkClaw has a full auth system. It has pre check. It has run check. And it has post check.
It also has a full auth workflow.
Many lobsters write API keys in files. ArkClaw checks them. And it blocks bad keys.
ArkClaw has full token safety. Lobsters only use temp tokens. The auth method is new. It uses raw keys. And it uses session keys. It checks every command. And it blocks bad ones.
One key rule is you cannot touch other lobsters. Small rights are checked. And big rights are blocked.
The core idea is simple. ArkClaw has full safe mode. It blocks bad skills. It blocks bad files. And it blocks bad data. The platform is safe. And users have their own safe space.
Of course, the lobster world is new. And it is risky. ArkClaw is not free. But it is safe. It has full security. And it has full control.
But users still need to be careful. They need to set passwords. They need to check lobster rights. And they need to check the sandbox.
The Future of AI Lobsters
In 2026, the lobster craze is back. And it is bigger than ever.
But this time, it is different. People do not just raise lobsters. They use them.
The reason is simple. The lobster world has grown. And the tools have grown.
ArkClaw is not just a tool. It is a platform. It has 13 major features. And it has a full lobster world.
The key question is not who has the best lobster. It is who has the safest lobster. And who has the best tools.
ArkClaw answers this. It has full security. It has full control. And it has Seed 2.0.
Users do not need to verify. They do not need to check. They just need to use it.
In 2022, ChatGPT changed the game. In 2025, DeepSeek did it. In 2026, OpenClaw is the new wave.
Some say one person and one lobster is a team. And one person and four lobsters is a company.
The lobster world is here. And it is growing fast.
The only question is, are you ready?
