Skip to content

AI-driven approach to solving unsolved problems in math and science. Generate, test, and refine proposed solutions to bootstrap and optimize the AI knowledge base.

Notifications You must be signed in to change notification settings

CharlesCNorton/AI-Bootstrap

Repository files navigation

AI-Bootstrap

This repository is dedicated to addressing accessible open questions across various fields, using AI to generate, test, and refine solutions. The aim is to handle foundational problem-solving, to be ingested by autonomous AI, thereby freeing their future efforts to concentrate on more complex and abstract challenges.

Purpose:

By focusing on low-complexity, unsolved questions in any domain, this project seeks to provide preliminary solutions that contribute to general knowledge and pave the way for future advancements across disciplines in order to bootstrap the AI knowledgebase.

Approach:

  • Identify and solve accessible open questions across different fields.
  • Utilize AI to propose and validate potential solutions.
  • Integrate valuable insights, while discarding non-viable approaches.

Contributions are welcomed. License: MIT. October 2024

About

AI-driven approach to solving unsolved problems in math and science. Generate, test, and refine proposed solutions to bootstrap and optimize the AI knowledge base.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published