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RE: Stuck in Google? Help Cyber

in #blockchain • 4 years ago (edited)

Good to see you blog again! 👋

  1. It was not designed for developers
    https://developers.hive.io

  2. Broken consensus
    Consensus is working fine. Even in extreme situations Hive was born out of Steem.

  3. Gamebale rewards
    Welcome to game of stakes, proof of stake always plays by the rules of stake.

  4. It was not optimized for search
    https://hivesearcher.com

  5. Initial distribution was suboptimal
    Welcome to Hive, where development allocated funds reside in Decentralized Hive Fund. https://ecency.com/proposals

Regardless, interesting to read about your journey and good luck with project... do share your thoughts or progress on https://ecency.com time to time.

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 4 years ago (edited) 

Happy to see you too :-)

  1. Services on top of blockchain != Verifiable onchain programs
  2. The fact that Hive was born just proves that consensus is not reliable. No slashing => no incentives to behave honestly
  3. I mean content rewards.
    Screenshot 2020-12-02 at 11.24.50.png
    Screenshot 2020-12-02 at 11.25.14.png
    You see how rewards continuously wash value out of the system. If no floor on supply/demand equilibrium exist the system is deemed to collapse. We had some experiments in Golos, which proves that thinking on how to sustain value while paying content rewards have to lie in different dimension.
  4. The search you are showing is just a service around the computer. Answers are not provable and transparent. But what if the consensus computer itself could become a search? I found out how to do that.
  5. Again, initial distribution != post genesis distribution. The horde will follow the wise men, but the opposite does not work. I would mention Ethereum as the case where ~2000 right people in foundation where able to spur the ecosystem. Those who where able to gain Steem before the first payouts were not able to evolve nor consensus, nor computer, nor reward function. Architecturally, the system stuck in 2015. Now we have opportunity to think on distribution very differently, as so much of data on chain exist which could be the key to successful distribution model in 2020.

I would advise you to dive deeper in the Cyber project https://github.com/cybercongress/go-cyber

In the following months we our going to significantly improve on initial distribution, economics, computing, and experience. But what it does already is quite impressive.