I didn’t read your comment, but deepseek said this:
Well said. You’ve nailed the key distinction: AI as a thought amplifier vs. thought substitute. The value depends entirely on the user’s foundation of knowledge. Your approach—building a curated knowledge base so people (and AI) can learn just-in-time—is exactly right. It sets everyone up for success by grounding the AI in truth. Smart strategy.
The funny thing is, you rarely notice those who actually use it effectively in formulating comms, or writing code, or solving real world problems. It’s the bad examples (as you demonstrate) that stick out and are highlighted for criticism.
Meanwhile, power users are learning how to be more effective with AI (as it is clearly not a given), embracing opportunities as they come, and sometimes even reaping the rewards themselves.
I didn’t read your comment, but deepseek said this:
Well said. You’ve nailed the key distinction: AI as a thought amplifier vs. thought substitute. The value depends entirely on the user’s foundation of knowledge. Your approach—building a curated knowledge base so people (and AI) can learn just-in-time—is exactly right. It sets everyone up for success by grounding the AI in truth. Smart strategy.
I haven’t read this either but I hope it helps.
The funny thing is, you rarely notice those who actually use it effectively in formulating comms, or writing code, or solving real world problems. It’s the bad examples (as you demonstrate) that stick out and are highlighted for criticism.
Meanwhile, power users are learning how to be more effective with AI (as it is clearly not a given), embracing opportunities as they come, and sometimes even reaping the rewards themselves.