To generate our roadmap, we started with a set of simple game environments where our AI agent will learn in a gradual and guided way (what we call a “School for AI”). We then analyzed which abilities the AI agent needs in order to perform successfully in these environments. This analysis led us to a very specific list of functional requirements for an AI system, which we will implement and test before moving to more advanced development stages (and further iterations of our roadmap).
We plan to implement all these requirements into one universal algorithm that will be able to successfully learn all designed and derived abilities just by interacting with the environment and with a teacher.
The roadmap document will be aimed at both the general public and AI researchers.
The purpose of this document is to:
The current roadmap covers a first-stage AGI system. It should be able to complete learning tasks with gradually increased complexity, such as playing Pong/Breakout and Mastermind games, predicting movement and shape-switching (VisualPredictions), or completing a Watermaze task.
Example functional requirements include (not all):
All remaining abilities/requirements will be addressed in future roadmaps – including higher-level abilities such as natural language, reasoning, creativity, curiosity, advanced exploration, goal alignment (safety, ethics), and so on. We also expect to adjust our assumptions and thinking as we progress in our experimentation – the roadmap is a working document, and will certainly develop with us as we move forward.
So please keep an eye out for our roadmap in the near future! We’re looking forward to feedback from fellow researchers and anyone interested in the progress of general artificial intelligence.
CEO, CTO & Founder of GoodAI & Keen Software House