Proof Of Brain Algo Vs Btcmyk Auto Curation System

28 May 2021 · 23 min
23:21

In this video the presenter explains and compares two content‑curation reward models for cryptocurrency networks. First, the Proof of Brain (PoB) model is described as a human‑participation system that tokenizes community voting to reward content creators, using delegated proof‑of‑stake to elect witnesses. The speaker outlines PoB’s advantages—manual curation, community engagement, lower energy use—and its drawbacks: influence becomes weighted toward large token holders, decisions are centralized, manual curators have limited reach, and reward allocation can be subjective and uneven. The discussion then shifts to the BitcoinMYK (also referred to as BitcoinNYK) automated curation system, which operates on the SCOT protocol and a freemium service model. The system assigns an “attention value” to every user action (uploading photos, visiting pages, transferring money, etc.) and automatically distributes rewards based on average market‑derived values, ensuring that all activity is compensated even if content is never viewed. It also allows manual up‑voting, creating a hybrid of automatic and manual curation. The presenter critiques the closed‑source nature of the BitcoinMYK curation code, comparing it to the Pi Network and Ripple/XRP, and argues that decentralization does not require the code to be publicly owned; token ownership and network usage provide decentralization. Finally, the speaker concludes that BitcoinMYK’s hybrid, attention‑value‑driven, automated system is superior to Proof of Brain, inviting viewers to try it and share their opinions.

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