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The proposed Koan-Safe, which combines a prompt-only intent parser, a replaceable generator, and structural repair with default safety parameters, is proposed, which supports explicit trade protections and execution-based evaluation, while distinguishing declared safety from a general guarantee.
A new family of sparse Mixture-of-Experts models, Arcee Trinity, achieves stable training at scale thanks to a novel MoE load balancing strategy (SMEBU).
