Many people still think of AI as a search engine, but in fact, it is more like a collaborative evolution of a thinking coach. To evolve AI into a strategic advisor, you only need to master these two concepts:
1️⃣ Chain of Thought: Depth of logic ⛓
Just like math teachers require students to show their problem-solving steps, we can ask AI to break down logic and transform a complex proposition into an A → B → C reasoning loop.
Significance: Understand the underlying logic behind AI decisions, identify gaps and omissions.
Application scenario: Analyze Tesla's financial report and explain step-by-step how you arrived at the conclusion that its valuation is overestimated or underestimated.
2️⃣ Thinking Tree: Breadth of possibilities 🌳
Like deploying three exploration teams simultaneously in a maze, trying different branches. We can let AI parallelly explore multiple paths toward the same goal, and self-evaluate to eliminate poor options and retain the best.
Application scenario: When brainstorming content for X, you can ask AI: “Provide three different angles (thinking trees) for this topic, and evaluate which one has the strongest impact on the reader.”
Try writing a piece of content or even simulate whether Trump will TACO!
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Many people still think of AI as a search engine, but in fact, it is more like a collaborative evolution of a thinking coach. To evolve AI into a strategic advisor, you only need to master these two concepts:
1️⃣ Chain of Thought: Depth of logic ⛓
Just like math teachers require students to show their problem-solving steps, we can ask AI to break down logic and transform a complex proposition into an A → B → C reasoning loop.
Significance: Understand the underlying logic behind AI decisions, identify gaps and omissions.
Application scenario: Analyze Tesla's financial report and explain step-by-step how you arrived at the conclusion that its valuation is overestimated or underestimated.
2️⃣ Thinking Tree: Breadth of possibilities 🌳
Like deploying three exploration teams simultaneously in a maze, trying different branches. We can let AI parallelly explore multiple paths toward the same goal, and self-evaluate to eliminate poor options and retain the best.
Application scenario: When brainstorming content for X, you can ask AI: “Provide three different angles (thinking trees) for this topic, and evaluate which one has the strongest impact on the reader.”
Try writing a piece of content or even simulate whether Trump will TACO!