Raising lobsters, do you understand what these AI terms mean? Let me explain clearly in a few words: 1. Agent: This refers to an intelligent AI. It can not only chat but also think for itself, plan, and get things done. 2. OpenClaw: People call it the "big lobster," derived from Claw, which means the lobster's big pincers. With it installed, it can reach out on the screen and precisely control the digital world. 3. Skill: The survival toolkit for AI. Researching information, writing code, controlling home appliances. Mastering a skill is what constitutes a Skill. 4. Token: These are the atomic units of text in AI. Why do we say "raising lobsters"? Because AI needs money to think. Whether you feed it domestic Tokens or imported Tokens, the Tokens you provide are its food; the more you feed it, the stronger this lobster becomes! Just like paying employees, the computing cost depends entirely on it. 5. Distillation: Distillation is essentially *passing on knowledge from the top student*. It condenses the wisdom of massive models into essence, allowing it to run quickly on a phone without taking up memory. 6. VLA: This is its hand-eye coordination nerve. It glances at the screen (V), thinks in its brain (L), and immediately clicks (A). When these two combine, your phone is truly alive. 7. LLM: The core of AI's brain. Whether it is smart or has a good memory depends entirely on it. 8. RAG: Afraid of AI talking nonsense? This connects it to a real database, which is called RAG. It comes with a library that can be accessed at any time. 9. Prompt: This is the command you give. With one sentence, it gets to work. 10. Agent cluster: Is one working slowly? Then send out a group! This is the "gang-up mode" in the AI world. Everyone has clear roles, some are responsible for thinking, and others for running errands, leading to a direct boost in efficiency. From the big lobster to the intelligent agent, doesn't this whole logic become instantly clear?