This continual evolutionary process of the distributed space has interesting twist and turns as new technologies and ideas come to the fore. The hollow chain concept of limiting the need for consensus over the entire network and achieving consensus locally at the edges through individuals in agreement is very interesting to say the least.
It's not that this particular technology will be the one to end all other Technologies, more so all of these Technologies provided that they have interfaces that can interconnect and utilize each other for various purposes and utilities, this benefits all. High security low transaction rates High fees make 4 transactions of a certain kind. low security and high transactions rates with low fees make for another kind of transactions. The datacentric approach of storing all data on all machines has a combersom weight to it that cannot be resolved easily with the present technology and its present form.
Moving data transactions to the edges of the network and only trying to achieve consensus between individuals has a completely different effect on the network overtime. With this kind of in that work agreements between individuals take Center Stage and the agent acting in accordance with its own values chooses who and how to interact with the network while storing their own record of their own data.
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This is truly a biological attempt to organize our interactions in the form that nature does. There is no Central Authority in nature that one asks permission from, just interactions with individuals and situations that have outcomes, and these outcomes specify whether a type of interaction will continue into the future and be adopted by others or that it will phase itself out through non-use. Holochain has the philosophical and Technical expertise 2 attempt and next level Communications Network and from this vantage point listen to this best in Class explanation of how it works and how it's philosophical stance governs what it becomes and what it is.
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Meanwhile in the far reaches of artificial intelligence development things are moving very quickly and generalized games are being solved as though they were individual problems. These generative adversarial and recurrent neural networks are showing signs of generalized learning and if not understanding in the human sense they are now able to work with humans in various configurations in these team sports games, and when they're doing that they can bring the humans up to artificially intelligent results, though it seems not the other way around. I take these videos has a form of proof that artificial intelligence is developing at a much faster rate then people believe because the industry seems to have various sectors and wall each sector separately is developing very quickly its own skills and abilities, the experts don't seem to be looking at the field in a holographic Holo holocentric form of understanding. It's like looking at the individual without the contents of the group context. It's like looking at the the symptom without looking at the environment the symptom develops in.