EightOS is a practice of finding a certain fluid state in the body, which is resilient, has integrity, and is adaptive at the same time.
16016472270220000
EightOS is a practice of finding a certain fluid state in the body, which is resilient, has integrity, and is adaptive at the same time.
16016472270220000
This fluid state can then have certain types of dynamics, which can be measured through feeding several different datapoints tracking both the movement and the various body parameters
16016472739430000
The ideas are always breathing. They expand and they contract all the time.
16016472966890000
When the ideas expand they disperse, they they contract, they focus. The intention of EightOS as a practice is to establish a habit - dynamics that allows for all these different states to emerge one after the other. And to make the body not be stuck in only one of them.
16016473428450000
The machine learning algorithm proposed is learning from the body how this dynamics can be instilled.
16016473623630000
So it is tracking all the datapoint and learning about the correlations. Then we study the results, find some possible "ideal" state (if it exists) and then try to create a feedback mechanism model that could tell any system (not only the body) when it is deviating from that logic.
16016474324990000
How can a machine be actually trained by the body. How can a body be trained by the machine. Software.
16016474509340000
The notion of fluid and confluent entity is probably related more to the actual reading that we can get at every point of time. How does that translate into datapoints also.
16016474808970000
Fluid both in terms of the long-term dynamics (not getting stuck) and also in terms of the short-term sensitivity (being a substance, a medium)
16016475132630000
A model that is learning when is the time to contact, when is the time to expand, when is the time to flow.
16016475740810000
And also how the dynamics occurs over time, what are the fluctuation periods.
16016479602520000
Modularity | 0 |
Influence Distribution | 0 % |
---|
Topics | Nodes in Top Topic | Components | Nodes in Top Comp |
---|---|---|---|
0 |
0 % |
0 |
0 % |
Nodes | Av Degree | Density | Weighed Betweenness |
0 |
0 |
0 |
0 |