This post is not about ICM, it's about learning the AI systems you are using in the ICM space. If you are new to ICM and you are looking to learn the structure and how to apply it, please see the posts below: (They will serve you well) 1️⃣Jakes Van Clief's Welcome: https://www.skool.com/cliefnotes/welcome-to-clief-notes-heres-where-to-start-2?p=f8f85a09 2️⃣Mira Bradsaw's collection of getting started: https://www.skool.com/cliefnotes/clief-notes-gems-for-starting-in-icm?p=0385cbf9 |---------------------------------Let's Begin---------------------------------------| 👇 📝Note: This post is not for people already working in the space, it's not for people who understand AI, it's for the people who are sitting in silence, watching the rest of us do those things. 🚦So, let's get started with real talk about what AI is here. A lot of smart people are quietly carrying around one perceived embarrassing question, what actually IS this "AI" thing everyone keeps talking about? If that is you, drop the embarrassment right now. You are not behind; we are all on the frontier of this thing called AI. The word AI has been stretched to mean everything and nothing, and there are many reasons for it, I will name the three reasons I see that create the most fog: 1️⃣People rushing to break into AI before they get it. 2️⃣People holding one piece of the puzzle like it is the whole thing, then screaming "I'm right!". 3️⃣People who just want to sell you something. If you notice a pattern, so did I and it's not the AI, it's the people pushing it! None of them are trying to make YOU capable. And that is why I love @Jake Van Clief and his team for creating a community which actually is! Today I start a journey to help remove the fog. 👇 The one-sentence version: AI is software that "LEARNED" to spot patterns from a huge pile of examples and uses them to make a good guess about something new. 💡