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Researchers used AI, specifically ChatGPT 5.5 Pro, to solve the 35-year-old Signed BAR Conjecture in queuing theory, proving uniqueness of stationary distributions for reflected diffusions. The result advances understanding of equilibrium in stochastic networks and demonstrates AI's role in mathematical discovery.
Explains why unbounded queues are a bug in software systems, using Little's Law and the bathtub analogy to show that queues only absorb variance, not sustained load. Discusses latency death spirals and advocates for backpressure instead.
The article explains why average CPU utilization is a misleading metric for latency-sensitive workloads, using queueing theory and a real-world production incident. It argues for more nuanced monitoring approaches.