network-stories/pages/Logos Project.md

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Understanding the Logos Blockchain Whitepaper | A High-Level Conceptual Review of the Logos Blockchain Broke 2022-05-07

Understanding the Logos Blockchain Whitepaper


Purpose This document reflects an approach of whitepaper review that combines a rough-draft whitepaper review containing comments/reflections/concerns with a further simplification of concepts to make everything more digestible to more people outside of the internal Status infra team for communication purposes. In addition, this review will provide a gauge of difficulty of understanding involved with various different terms/concepts.

"We build everything on top of consensus." Dr. Corey Petty


How-To (Get Cookin')

Instructions: There are some descriptions below which detail the usage of visual guidance metrics available in the form of "cookbook-like" instructions for how to consume this document:

Gauges Description Visualization
Difficulty 1-10 (Ticks/Pips) [||||||||||]
Time In Minutes X Minutes
Resources Article/Video Links w/ Visual Content Conceptual & Pictoral "Ingredients List" of Links

Operating Definitions:

Prep (Difficulty) is defined as the ease of which the concepts can be generally understood. (Future: Make into more fun visual or something more enjoyable than a difficulty bar.)

Cook Time (Scope) is in reference to the size of information necessary to learn to gain a decent level of comprehension.

Ingredients (Resources) is for links relevant to helping people understand the concepts. Number references and use superscript notation to reference mentions in terminology Recipes descriptions.

Future Work: Adjust difficulty/time ratings, cook time respec. based on feedback from everyone at DXB.

See Sample below:

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    • Ingredients: [pictures, videos, article links, research papers, etc.]

See below 'Recipe' and modify accordingly to above in Figma.

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Necessary Terminology by Layer

The Six (6) Technology Layers of Logos as a Blockchain

1. Consensus

2. Node Reputation

3. Network Layer and Mempool

4. Staking and Multi-DAG

5. Data Model and Concurrency

6. Tokenomics