Understanding the crazy AI world

Reflect on your daily annoyances. Notice those moments when you think to yourself, “I wish I had a tool for this.” Keep a journal or notes app handy to log every micro-frustration. Start with tasks or processes you repeat often. If you build a tool to handle something you face regularly, you’ll experience immediate relief every time you use it.

Rather than reaching definitive conclusions about how AI will transform work, I find myself collecting observations about a moving target. What seems consistent is that, for now, the greatest value comes not from surrendering control entirely to AI or clinging to entirely human workflows, but from finding the right points of collaboration for each ... See more

The challenge becomes identifying what "minimum viable knowledge" is necessary to effectively collaborate with AI on various projects.

Managers of humans need to craft a vision that is articulate, specific, concise, and rooted in a clear purpose. Model managers will need that same ability.

The better articulated your vision is, the more likely the model is going to be to carry it out appropriately.

It means a transition from a knowledge economy to an allocation economy. You won’t be judged on how much you know, but instead on how well you can allocate and manage the resources to get work done.

Now, my intelligence has learned to be the thing that directs or edits summarizing, rather than doing the summarizing myself.

Knowledge has, for years, been a moat. If you simply knew more about a particular thing than your peers, and if you had more experience, then your advantage was nearly insurmountable. But knowledge is now commoditized, and its moat is shrinking. When knowledge (or the ability to quickly acquire it) is table stakes, the only things that really matte... See more