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I am not quite sure of the problem they are trying to solve as it isn’t directly stated. I suspect they are concerned about non-public data hoarding and the res
by austincheney 7y ago
I am not quite sure of the problem they are trying to solve as it isn’t directly stated. I suspect they are concerned about non-public data hoarding and the resulting centralization on an otherwise public and distributed platform.
If my assumption is correct here are some potential alternative approaches:
* Private platform reliant upon anonymity and public data. The value is the application delivering the best decision(s) returned from a consideration of available data, what some people might think of as AI. The better AI is more valuable than holding data.
* Private platform fully divorced from both data and anonymity. The data is what a person or organization already holds and what they are willing to expose in a private relationship to somebody they know and trust. The relationship is more valuable than the data or the application. This is something like WhatsApp mixed with a tiny operating system that works more like Bit Torrent than using a central service. I am working on something like this.
* Public platform reliant upon mixins of various public data. This is the semantic web of the prior decade. It never took off because nobody wanted to expose their data. Data is king, especially when the corresponding automation isn’t a valued portable commercial product.
* Tiny portable data driven application architecture. Applications need only enough data to perform their functional task at any given moment. The value is purely driven by the application’s output regardless of where data on the fly comes from. This is something like Siri, but more specific to a given task.
In order for ideas like these to be commercially viable data must become a commodity or at least less valued than almost everything else. This is hard because there are very real fears (such as lost privacy) around treating data as a traded commodity and because in many cases software, as a business practice, is still in the dark ages.