Minimal Sufficiency: A Principle Similar to End-to-End
In a recent BLOG@CACM post, authors Mallik Tatipamula and Vinton G. Cerf call for the development of shared tools and interoperable infrastructure to enable the evolution of AI/ML, similar to the growth of the Internet.
They propose creating an AI/ML stack with a layer of standard services and applying a principle similar to the end-to-end principle that guided the Internet's development.
The end-to-end principle, also known as end-to-end arguments, played a crucial role in the evolution of Internet-delivered services.
The author, who has spent 25 years studying the end-to-end principle, seeks to extend its success to other services, including process management and storage, such as Unix/POSIX, which would be essential for an AI/ML common services stack.
Autor's summary: Minimal Sufficiency principle guides AI/ML development.