[maegul]

In line with this, something I feel like I’ve observed is that you can split people into those that like/need to hash things out with others and those that either don’t or aren’t good at it. It’s more than rubber-ducking. It’s collaborating on exploring a cognitive space (ideas, understanding, etc).

Personally, I’m one of these people, and I’ve struggled with how much others either don’t work this way, don’t want to or don’t know how. I think it’s powerful and that finding good collaborators at this way of thinking is a factor for general success.

Interesting to think about how AI can provide a general base level for this kind of thinking.

[stanete]

This. And AI assistants will mostly help people who are good at collaborating. Think of Jarvis and Tony working together to solve a problem. Now think of you and ChatGPT filling a Value Proposition Canvas or preparing the questions for a user interview. ChatGPT’s current limitation is that it doesn’t have enough context about the problem space. So to get good results I have to talk to it for a bunch of minutes to explain everything. But I’m sure they’ll fix this pretty soon so I could feed it additional context (a bunch of documents or the code of my project).

[maegul]

Yea, the prospect of domain specific AIs and even workplace/product/family/personally specific AIs that are learning/re-learning on the full history of interactions feels rather formidable at this point.

I've already forgotten where I saw it (probably here), but it'll be interesting to see how quickly we get into a period like iPhone circa 2010 with the mantra "there's an AI for that".