AI lobsters continue to be a hot trend, and some people in the country earned 720,000 by helping others install lobsters in just a few days.
It’s actually a matter of information disparity,
When a product becomes popular,
those who don’t know how to use it must find ways to learn,
while those who know how to play charge others for help.
How to "raise lobsters"
1. Raising lobsters requires a "cage" (computer)
Correspondingly: Using AI requires hardware devices, such as computers and smartphones, just like raising lobsters needs a cage to provide an environment.
2. The obedience of lobsters is "trained" (instructions)
Correspondingly: The quality of AI's output depends on the prompts you give; clear and specific instructions are necessary for AI to "obey" and produce the results you want.
3. It needs to consume "feed" (token)
Correspondingly: AI consumes tokens when generating content, which are the units of computation and billing, just as lobsters need to eat feed to grow.
4. It requires "equipment" (Skill) to complete tasks
Correspondingly: AI needs specific skills (Skill) or plugins to accomplish complex tasks, such as coding, data analysis, generating images, etc., just as lobsters need tools to work.
This analogy lowers the threshold for using AI, making it easier for ordinary people to understand:
- Hardware is fundamental
- Instructions are key
- Tokens are costs
- Skills are capability extensions
It’s actually a matter of information disparity,
When a product becomes popular,
those who don’t know how to use it must find ways to learn,
while those who know how to play charge others for help.
How to "raise lobsters"
1. Raising lobsters requires a "cage" (computer)
Correspondingly: Using AI requires hardware devices, such as computers and smartphones, just like raising lobsters needs a cage to provide an environment.
2. The obedience of lobsters is "trained" (instructions)
Correspondingly: The quality of AI's output depends on the prompts you give; clear and specific instructions are necessary for AI to "obey" and produce the results you want.
3. It needs to consume "feed" (token)
Correspondingly: AI consumes tokens when generating content, which are the units of computation and billing, just as lobsters need to eat feed to grow.
4. It requires "equipment" (Skill) to complete tasks
Correspondingly: AI needs specific skills (Skill) or plugins to accomplish complex tasks, such as coding, data analysis, generating images, etc., just as lobsters need tools to work.
This analogy lowers the threshold for using AI, making it easier for ordinary people to understand:
- Hardware is fundamental
- Instructions are key
- Tokens are costs
- Skills are capability extensions