Whitepaper presents a memory-first AI architecture that enhances efficiency and accessibility in intelligence systems.
I have written a whitepaper titled "BrainCache: A Memory-First AI Architecture for Efficient, Accessible and Sustainable Intelligence" — a three-layer inference architecture that proposes separating immutable symbolic knowledge, episodic latent caching, and sparse expert inference to dramatically reduce compute costs on consumer hardware. Your work on llama.cpp is directly cited as a foundational validation of the hardware accessibility thesis.
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Pradhan Salian (2026) studied this question.
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