Discussion about this post

User's avatar
Sebastian L's avatar

One way this framework really clicked for me was by grounding parts of it in something as basic as P = E / t. Not as an explanation of meaning, but as a constraint that all these systems seem to share. When the same amount of energy has to be expended in less time, effective “pressure” increases, more heat, more friction, more instability.

Read that way, anxiety, institutional stress, and even AI scaling limits start to look less mysterious and more like acceleration problems. The issue isn’t always lack of energy or resources, but the rate at which systems are forced to respond.

What I find interesting is where this framing might break: which human or cultural systems appear energetically inefficient yet remain stable, and what additional buffering mechanisms allow that? Exploring those edge cases feels like a productive way to test and refine the model rather than argue against it.

2 more comments...

No posts

Ready for more?