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ASTRA is an end-to-end training simulator for air traffic control operators that automates sim pilot roles using locally adapted speech models, achieving a significant reduction in word error rates for Singaporean-accented aviation speech and incorporating AI-assisted performance evaluation.
A detailed evaluation of Deepseek V4's 1M token context window across production codebases reveals optimal performance at 150-250k tokens, with degradation past 300k and significant latency in reasoning mode. The model exhibits high hallucination rates on unknown tasks, requiring validation layers for production use.