*.Fungibles

Provisional patent:

  • [https://docs.google.com/document/d/1YCJrVaMDPwDdMXOpUCCARKG2JzfcipclcCgbSYbhETc/edit](Provisional Patent)

This uses TRIZ.md which is a systems engineering approach where each project informs & makes the next project a little easier, programs, packages & procedures have been chosen for specific roles and most importantly their ability to interoperate & run simulations, perform calculations & conversions using a compositional programmatic fashion.

In terms of proper data-engineering and I have been investigating tooling in a variety of fields and have some rather technical opinions how some of this new technology can be used. As a systems engineer with a 30 year career in working with open-source since the very early days when it was still called "Free Software".

The series of inventions requires building machines, in sort of a sycophantic rube goldberg machine. Each small invention/contraption is intended so that someday when the organization can adopt newer tools now and will benefit from the ability to access crypto-currency markets natively for any type of significant future-capital needs. I don't care if it's AI-winter, the research can be performed concurrently. The focus should be on the early tooling that accelerates choices in terms of technical specifications which are principally done and I am simply sharpening my mental axe on the skills required to perform such an undertaking.

Conceptually the reader of this document is someday a target customer. But when it's finished you're interfacing with a polished & significantly more intuitive version.

  • the projects are each saleable proof of concepts designed to grow a project from nothing to something.

  • such that it includes a lot of discussion for next-gen organizational tooling because the project will take 1-3 years to finish

  • all projects are 1st tier - direct, 2nd tier - indirect climate & human welfare projects in mechatronic design & problem solving

  • using AI NLU generative (self assembling with parts & instructions, bill of material) mechatronics design & simulation w/reinforcement learning

    • using dev/ops ci/cd pipeline & automatic asynchronous DAG parallelism
    • tasks will automatically parallelize and can be added using idiomatic functional descriptions, samples, etc. (the system guesses using a co-pilot)
    • onboarding tutorial & crypto-credential/wallet instructions