Dan Shipper's mental models

Their wordsThe biggest thing that that matters on a labs team is making the feedback loop as tight as possible between making something and knowing if it's good. And the tightest feedback loop is making something for yourself.

Their wordsBut the coding models have gotten good enough that he can pair the kind of the technical knowledge he does have with his really spiky product sense and sense for writing and sense for users.

Their wordsWhat is amazing about AI is it allows you to have a labs team of one.

Their wordsMy experience is that your company's only going to go as far as your CEO goes in AI and it's not something you can delegate.

Their wordswhat is new feels very exciting, but the question is when it's a month later, is it actually any better? It's hard to know unless you use time and usage over time as a filter.

Their wordsAnd I think that Cursor has at least so far more distinctly chosen a lane. Like they're more distinctly choosing to be a for programmers. And that may limit how far they get in here.

Their wordsWhat models do in general is they make yesterday's human competence cheap. And so, it becomes commoditized. It's not valuable anymore. What humans do is we go in there and we're like, "Yeah, we have all this frozen human competence from yesterday. How do I use this like make something new and interesting?"