When you know what you want and why you want it, it transforms your being in a way that's more effective than scheduling. Without that the schedules -- 5-530 ashtanga! 530-6 look at fashion influencers -- tend to fall apart.
so I agree with L that the feelings work is crucial
Efficient information exchange is a critical optimization problem. Human conversation often operates at ~10% signal-to-noise ratio, with key insights buried under social protocol and tangential details. This creates significant cognitive overhead and time waste.
Traditional 1:1 synchronous communication (meetings, calls) compounds this inefficiency by:
Forcing real-time processing of low-value information
Adding context-switching costs
Preventing parallel processing of multiple conversations
Solution space: Moving to asynchronous, high-compression communication channels allows for:
Faster iteration cycles
Better signal extraction
Optimal time allocation
The goal: Maximize bits of useful information transferred per unit time while minimizing cognitive overhead.
this was very helpful to read, ty for posting
YAY i'm glad :)
i really liked this ty for sharing
I think scheduling is a kind of stress response.
When you know what you want and why you want it, it transforms your being in a way that's more effective than scheduling. Without that the schedules -- 5-530 ashtanga! 530-6 look at fashion influencers -- tend to fall apart.
so I agree with L that the feelings work is crucial
Efficient information exchange is a critical optimization problem. Human conversation often operates at ~10% signal-to-noise ratio, with key insights buried under social protocol and tangential details. This creates significant cognitive overhead and time waste.
Traditional 1:1 synchronous communication (meetings, calls) compounds this inefficiency by:
Forcing real-time processing of low-value information
Adding context-switching costs
Preventing parallel processing of multiple conversations
Solution space: Moving to asynchronous, high-compression communication channels allows for:
Faster iteration cycles
Better signal extraction
Optimal time allocation
The goal: Maximize bits of useful information transferred per unit time while minimizing cognitive overhead.
https://alexw.substack.com/p/information-compression