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Description

Perhap the highest priority for humanity is to build an open source, decentralized, privacy protecting, and fact checking global platform that can merge the knowledge and sentiment expressed in public conversations with billions of people around the world. This github project is for a demonstration of concept of this collective human and digital intelligence.

Components

Components could include a website at the front end, a language model in the middle, and a vector and graph database such as Neo4j in the back end. A fusion of the Neo4j LLM Knowledge Graph Builder, the Zep Graphiti knowledge graph engine, and the Mem0 memory for conversations could serve as a starting point for a demonstration of concept.

Features

  • The language model would extract knowledge and sentiment from selected parts of public conversations to merge into a shared vector and graph representation.
  • The platform, with humans in the loop, would continuously fact check statements merged into the shared graph.
  • The platform would report which issues are discussed by the most people, the sentiment expressed on proposed solutions, and show how this sentiment changes over time.
  • The platform would classify, from the local to the global level, the jurisdictions to which the issues relate.

Outcome

After the demonstration of concept, the platform could be scaled to merge the knowledge and sentiment expressed in millions of simultaneous conversations with people around the world, becoming a form of collective terrestrial intelligence, CTI. The prompt.txt file in this project is a draft set of instructions to a language model for constructing a knowledge graph of people, claims, evidence, proposals, and sentiment about proposals.

Commissions

A commission of $10,000 can be paid to help materialize this concept.

Contact

John Kintree, jkintree@gmail.com

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