One of the most underestimated failure modes in current LLM training is not only quality loss.
A note that future training ecologies need Learning Abstracts and Experience Artifacts to remain separate so models preserve origin and consequence.
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A note that future training ecologies need Learning Abstracts and Experience Artifacts to remain separate so models preserve origin and consequence.
A case that sovereign local entities can barter clean experience for cloud inference without giving up privacy or collapsing into cloud dependency.
A case for sovereign entities as a supply chain between local privacy and cloud inference that returns clean experience to model providers.