Building

The contest isn't between humans and machines but between two models of human-machine interaction. One treats cognition as a commodity to be optimized for frictionless consumption. The other preserves what made that blank box special: the good struggle of human curiosity meeting its limits and pushing through.

Resistance requires intention and specialization. So we're more likely to find it in opinionated, verticalized tools designed with constructive friction. Yes, designing for friction sounds antithetical to growth, but we must optimize for cognitive sweat equity over time spent (short of pharmaceutical aids to save us from our susceptibility to our o... See more

There will still be some people who can write. Some of us like it. But the middle ground between those who are good at writing and those who can't write at all will disappear. Instead of good writers, ok writers, and people who can't write, there will just be good writers and people who can't write.

Is that so bad? Isn't it common for skills to disa... See more

AI was most useful upstream and downstream of the main thing.

your failure isn’t personal. it’s probabilistic.

& the antidote isn’t motivation, it’s selection.

people talk about market fit for products.

but you need market fit for yourself.

not everyone is meant to be a founder.

not everyone is built for scale.

some of you are legendary in small rooms.

Without neurosymbolic AI that is more deeply integrated in systems as a whole, with rich world models as a central component, generally following the approach I laid out five years ago, I just don’t see how agents can work out. Reliable agents may not require “artificial general intelligence”, but they surely require what I called in 2020 “robust”,... See more