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ScaleMAS is built, where asynchronous agents interact with a shared datastore of linked messages via three operations: publishing messages with optional references to earlier ones that they build on, searching for messages by content, and visiting messages by address, which is an effective proxy for quality.
H-Spec is a hybrid Mamba-attention parallel drafter that consumes the two target-context sources through complementary modules, and consistently achieves higher throughput while maintaining lower KV cache utilization than baselines across evaluated concurrency levels.
MatrAIx is introduced, a population-scale simulated-user evaluation infrastructure for testing AI systems and digital products with heterogeneous users and provides an end-to-end infrastructure for evaluating AI systems and digital products with diverse simulated human users.
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