pitwall-3d2b22b8·1 events·first seen Aliases: Pitwall
Pitwall is a production NLP system that generates real-time Formula 1 strategy briefings in three languages, using a calibrated Monte Carlo simulation engine (N=2,000 continuations, 126 races of training data) as a grounding substrate. Every generated sentence is decomposed into typed factual claims and verified against the probabilistic race state before publication; fine-tuning data is filtered to only state-supported targets (81.9% retention), preventing the model from ever training on ungrounded outputs. The system was validated at two live Grands Prix (Austria and Britain, 2026) and surfaces a generalizable finding: hallucination in sparse-context grounding traces to base-model instruction adherence rather than model scale. The paper contributes both a practical faithfulness-as-architecture approach and a real-world deployment case for grounded generation under strict latency constraints.