How big can Mind AI be? Mind A.I Explained

Introducing Mind AI

Mind AI - Example Use Cases

Mind AI Reasoning - Technical Intro

Mind Ecosystem

Mind Roadmap 2018

Q2 - Define use of basic verbs in different grammatical situations
Develop Mind AI’s understanding of basic verbs from Cambridge texts plus use of supporting information
Accumulate ontologies for basic "person" objects (e.g. I, you, he/she/them)
Define ontology collection methods

Q3 - Define use of basic verbs in different grammatical situations
Accumulate ontologies for basic "people", "at home", "school and workplace", and "leisure", using vocabulary from Cambridge text
Milestone: Have Mind AI read and display basic
comprehension of the book: The Little Prince

Q4 - Accumulate ontologies for "the world" and "social issues" using vocabulary from Cambridge
Begin building off-chain ontology database and preliminary ecosystem
Devise an interoperability model for the Mind ecosystem
Milestone: Have Mind AI read and display advanced comprehension of the book: The Little Prince
Milestone: Have Mind AI read and display basic comprehension of the book: Brave New World
Milestone: Accumulate 3,000 words in the ontological repository

Mind Roadmap 2019

Q1- Begin rolling out Mind AI API to selected partners
Develop Mind AI’s capability of making simple logical leaps that is implied in domain knowledge but is not specifically outlined in instructions
Launch Mind ecosystem private alpha, testing end-to-end ecosystem processes with selected partners
Milestone: Read and comprehend arbitrary Wikipedia article
Milestone: Educate the Mind AI with instruction manuals
in natural language, and have it follow the course of action from instructions to solve simple domain specific problems

Q2- Add another 600 words into the ontological repository
Break down existing 1,500 ontologies into more fundamental units and additional contexts for a deeper understanding
Open Mind AI API access to public
Launch private beta of the Mind ecosystem
Develop resolution models for complex synonymies
Provide cross-domain reasoning to those who apply for this functionality

Q3- Add another 600 words into the ontological repository
Break down existing 1,500 ontologies into more fundamental units and additional contexts for a deeper understanding
Provide ontology services in the Mind ecosystem: creation, validation, and versioning
Open Mind ecosystem to general public

Q4- Add another 600 words into the ontological repository
Begin crowdsourcing domain level ontology with gamified UI and reward system
Roll out API in other languages (Spanish and Korean) for select partners
Open Critical Mass extensions to general public

Without doubt it is a very ambitious project, but will expectations be fulfilled?

As a student and researcher of A.I, I am somewhat skeptical, but I follow many generic Artificial Intelligence projects like Deep mint, Open A.I among others and I am even working on one, so I can tell you that it is possible.

Lisp is an incredibly malleable and functional language based on lambda calculus and designed especially for logic and artificial intelligence, the concept of Mind AI makes all sense with the concept of language that allows creative freedom on the other, mainly to implement its new data structure .

Believe me, if you understand Lisp, you will understand the technology and concept of Mind I am very easy and that is exactly what fascinated me with this project and its applicability, not to mention the subtle similarity with the project I am working on.

This approach to thinking about programming with Lisp in a philosophical way, how to implement Descartes' methodologies and arguments as a form of formalizing a logical thought in search of a reproduction of rational thought is the future of AI, but it is important to point out that many researchers are following this path with similar ideas and IBM Watson itself already has implementations along that line, in addition to most generic AI companies.

Yet it is a project with enormous potential and that is a great experiment for what is to come, primarily for its platform implementation that can democratize and scale the general A.I on another level.

What I am explaining here is a brief overview and simplified, but when and if I think that the first singular singularity? if it is, Mind will be the most important project in the world.

This would require a documentary / entire book.

Sources and Useful Links: (if you remember me, I put it in the comments)
https://www.mind.ai

Remember A.I is the future and Blockchain / DLT is the road!
Who wants to donate some tokens, thank you: 0x3139F5980365793220133c4896E211023CAF4B8B

Do not take it so seriously, it's just a big badly written twit!!