A hidden current date in system prompts shifts nine models' scores by up to 14% and reshuffles leaderboards
Holding all other settings fixed and varying only the hidden current date injected into the system prompt across every day of 2024, this study of 9 recent LLMs and 6 datasets finds accuracy swings of up to 6% on multiple-choice QA, 14% on math reasoning, 7% on code generation, and 2.84 BLEU on machine translation, with model rankings reordering, an effect larger than batch size or numerical precision and one that chain-of-thought prompting amplifies rather than reduces.