Ed Mosqueda bbaaxx

RFC: Recommendations for Achieving Model Independence in AI and Statistical Analysis Solutions

1. Introduction

In the evolving landscape of artificial intelligence (AI) and statistical analysis (SA), organizations face critical decisions regarding the ownership and control of the models they utilize. The concept of "model independence"—the capacity of an entity to own and manage the models processing their data—has become increasingly significant. This document outlines recommendations for organizations aiming to achieve model independence, ensuring data sovereignty, security, and adaptability in a rapidly changing geopolitical environment.

	// Kestrel
	export const K = a => () => a
	// Starling
	export const S = a => b => c => a(c)(b(c))
	// Idiot : a => a
	export const I = S(K)(K)
	// Bluebird : a => b => c => a(b(c))
	export const B = S(K(S))(K)
	// Cardinal : a => b => c => a(c)(b)
	export const C = S(B(B)(S))(K(K))