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by dmix
4452 days ago
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Interesting read. I'm all for decentralized systems but one important consideration which will likely be different for each scenario: is whether distributed consensus in x (ie. traffic lights, water, power) is more valuable to the participants than a statistical machine-learning based approach. The latter is optimized towards some predefined metrics (minimizing total average wait times in traffic), whereas a cryptocurrency approach is distributed to the whims/needs of independent actors ("I want to cross the street now"). The benefits of distributed independent actors is clear in some areas such as economics, where the system is so massive and chaotic attempts to control it via machine or human intervention often fail. Even when they continually adapt their models over time, they will never be a full replacement for the consensus of a market. While markets are efficient they famously at times have a habit of acting irrational and counter-productive to participants needs. This is where in the present times human intervention (occasionally) out-performs pure markets. In the future, most of us expect machine-optimized models to out-perform both markets and centralized systems. That may be the differentiation in the long term for which is better, which can provide the best value? Human consensus -> human consensus via machines -> machine consensus. We'll likely keep moving farther to the right of that flow as machine learning (AI) becomes better. |
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I think that this happens because markets are not yet perfect. You end up with conditions where one party can gain by doing damage to the rest.
As time moves forward, I imagine that markets will get a lot better. Game theory is a growing field where people are exploring this problem. I think that in many ways, cryptocurrencies address this problem for certain applications, and will continue to improve as we figure out exactly where cryptocurrency is most useful to us.