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Loyola University Chicago
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LLMs struggle to produce reliable TLA+ specifications, achieving only 8.6% semantic correctness, which underscores the need for expert oversight in automated formal verification.
TLA-Prover triples the success rate of LLM-generated TLA+ specifications, transforming how we ensure correctness in distributed systems verification.
CS education risks irrelevance if it continues to prioritize rote coding skills over the systems-level thinking needed to build and manage complex AI-driven systems.
LLMs can now orchestrate system-wide optimizations across microservices, boosting throughput by 36% and slashing response times by 27%.