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Clock skew as small as 5ms can break causality in observability data from distributed AI inference systems, even when the system is working perfectly.
Compact models can achieve frontier reasoning performance with minimal latency overhead, thanks to a novel method that distills explicit reasoning patterns into structured prompts.
