Curiosity drives the use of AI tools to quickly obtain and verify answers. Students should be encouraged to pursue topics they are passionate about, as this intrinsic motivation is key to their future success.

Instead of just asking AI questions, consider what questions AI might need to ask you to provide the best response.

Technical interviews need to evolve in the age of AI. If AI can answer a question, that question should probably be removed from the interview process.

We aim to understand how an AI model connects concepts in its mind to formulate answers to our questions.

AI can provide answers, but it doesn't teach us how to be human or how to navigate personal relationships effectively.

The ability to allow AI models to reason for extended periods, rather than just providing quick answers, can lead to significantly better outcomes for complex questions.

Don't just trust everything that comes out of the AI system. Be critical of the content that's surfacing and ask your questions in different ways.

When using AI, approach it with skepticism and ask probing questions to uncover its flaws.

Instead of just asking AI questions, you should let AI ask you questions to better understand your workflows and responsibilities, leading to more insightful recommendations.