@BitcoinErrorLog was the original bitcoiner I personally remember discussing back in 2021
Also here is a workshop @k00b gave at PlebLab over a year ago on Web of Trust
Also @k00b you owe us Part II. 🤣
153 sats \ 0 replies \ @k00b 13 Mar
Yeah @kr heard about it from him and I heard about it from @kr.
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Would love a part II @k00b! Really enjoyed this one :)
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110 sats \ 1 reply \ @k00b 13 Mar
I gave part 2 at TABConf. Demo is still running https://charlottesweboftrust.com
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Tidwell did it again 🤣
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TLDR generated in about 25s from our YouTube Agent:
TLDR: The video discusses the concept of a web of trust, where users can determine trust levels based on preferences and relationships, ultimately influencing content ranking.
  • Trust is defined as a firm belief in the integrity, ability, or character of a person or thing.
  • Web of trust is a decentralized reputation system that scales trust in a group setting.
  • Users can influence ranking based on trust levels and preferences of others in the network.
  • The use of binomial proportion interval allows for statistical confidence in trust calculations.
  • The trust graph helps users broaden their perspectives by incorporating the preferences of others.
  • Transparency and explicitness in trust levels differentiate web of trust from centralized reputation systems.
  • Trust calculations are directional and consider indirect relationships to determine influence.
  • Users can choose the most trusted individual to make decisions based on multiple paths in the trust graph.
In the video, the discussion delves into the intricate workings of a web of trust, highlighting how trust levels and preferences can shape content ranking. By utilizing statistical methods and considering indirect relationships, users can make informed decisions on who to trust for various tasks. The transparency and scalability of web of trust offer a unique approach to decentralized reputation systems, ultimately influencing user experiences and content discovery.
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