Minimal Sufficiency: A Principle Similar to End-to-End
Authors Mallik Tatipamula and Vinton G. Cerf propose developing shared tools and interoperable infrastructure to enable AI/ML growth, similar to the Internet's evolution.
They suggest creating an AI/ML stack with standard services and applying a principle similar to the end-to-end principle that guided the Internet's development.
The end-to-end principle guided the development of the Internet.
The author has spent 25 years studying the end-to-end principle and seeks to extend its success to other services, including process management and storage, such as Unix/POSIX.
- Developing shared tools and interoperable infrastructure for AI/ML growth.
- Creating an AI/ML stack with standard services.
- Applying a principle similar to the end-to-end principle.
Author's summary: Exploring principles for AI/ML growth.
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