A Very Short Essay: Not All Progress Is Acceleration

One of the biggest AI misconceptions that will likely have a "dot-com boom" kind of fall: There are 2 types of "slow problems": 1) The bureaucratic, legacy type of slow—where the financial or operational disadvantages outweigh the beauty of it being slow. 2) The kind of slow that is beautiful—where the beauty of it being slow outweighs the financial or operational disadvantages.

You cannot automate human connection without trading off the beauty of human connection. Human connection is valuable because it's slow and flawed.

In the short term, you have something that goes viral; the speed is what compels people. But over time, it just doesn't work—quality wins.

I think too many people mix up (1) and (2). Just because something is faster doesn't necessarily mean it's better. Some problems are slow for a reason—and trying to accelerate them without respecting that structure can degrade their quality or meaning.