If You Can't Even Install the Lobster, How Would You Use It?
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Watching the frenzy around Tencent Tower installing the Lobster today gave me a lot to think about—it feels a bit like “The Great Lobster Leap Forward.”
Many big tech companies are aggressively pushing non-technical frontline employees to install this AI tool, with some even offering 500 RMB door-to-door installation services. Everyone’s desperately searching for use cases, demanding implementation, and trying to prove this thing is too important to miss. The whole process gives me a strong sense of cyber-tech folding.
I came across an interesting quote: “If you can’t even install the Lobster, how would you use it?” Taking it a step further, if you haven’t even established basic usage habits, yet you’re expected to create complete scenarios, deliver results, and prove value—that’s even harder.
There are two things overlapping here. One is illusion: many executives have watched too many short video clips, repeatedly bombarded by exaggerated narratives and “universal solution” case studies, until they genuinely hallucinate that this tool can do everything, integrate anywhere, and everyone should install it—and once installed, it should immediately produce output. The other is anxiety: everyone fears missing this wave, so they start using administrative actions to drive adoption, substituting collective anxiety for real demand.
So you see a strong contrast. On one side, slogans are grand, as if everyone must enter the AI-native era. On the other side, many people can’t even clearly articulate what tasks are worth handing over to it. This contrast will only intensify, and become increasingly absurd.
Because tools never generate value through installation alone. Tools generate value through task density, clear processes, and measurable results. Without continuous tasks, without SOPs, without conditions for online completion, without clear inputs and outputs—even the most powerful tool sitting there is just an icon. It won’t automatically grow use cases just because it’s installed.
So I’ve always felt that the Lobster isn’t suitable for everyone.
It fits commanders well. It fits one-person companies. It fits people who constantly have tasks to delegate, can break work into steps, and complete many things online. Especially if you’ve used skills and tools, understand AI’s capability boundaries, can chain processes together, build scenarios, and get things done step by step—then it’s perfect.
For me, this scenario comes naturally. Especially when I have many things to delegate but happen to be away from home or office—out with just my phone, or unable to open my laptop—I have my two nanobots check my open-source project issues, produce technical solutions, then another to review and submit, all in one go. It lets me elegantly get things done during my morning commute. Truly convenient.
But for someone who normally has no work to complete outside, or who doesn’t even want to open their computer at home—how could they possibly force scenarios to exist? Eating well and having fun is comfortable enough. No scenario means no scenario—really, no need for anxiety.
I think what’s most easily amplified in this wave isn’t the capability gap—it’s the scenario gap. People with scenarios will use it more smoothly, run faster, eventually like having multiple clones. People without scenarios will easily spin around in concepts, tutorials, case studies, and videos, ending up with nothing changed except having installed more software.
Many people’s biggest problem today isn’t that they haven’t installed the Lobster—it’s that they mistake installing a tool for having entered the AI era. The real dividing line has always been task understanding, process design, and result judgment. Do you actually have continuous problems to solve? Can you break problems down and hand them to the system? Can you judge whether results are correct? These determine whether you can truly extract value from AI.
So no need for anxiety. Installing the Lobster without scenarios doesn’t mean much.
If you really want to experience where this generation of AI shines, better to spend $20 on Claude Code, or more interestingly, get a ChatGPT subscription and use GPT 5.4 to help you tackle something you genuinely find difficult—producing solutions, driving execution, experiencing this simple, efficient, problem-solving process once. That’s far better than installing a Lobster.
The Lobster suits people with scenarios. It suits commanders. It suits one-person companies. It suits those who can SOP-ize, online-ize, and complete processes step by step. It’s certainly powerful, but it proves its power by completing work for you—not by being installed.
Many people today are installing the Lobster, but what they should really figure out first is one question: what problems do I actually have that are worth solving with AI?
That question might be more important than installing anything.