如今，同样的拷问落在了阶跃星辰案头。
Some critics argue that existing intelligence authorities already allow forms of surveillance that OpenAI says it prohibits. Mike Masnick, founder of the Techdirt blog, wrote on social media that the agreement “absolutely does allow for domestic surveillance,” pointing to Executive Order 12333, a long-standing authority that permits intelligence agencies to collect communications outside the United States, which can include Americans’ data when it is incidentally acquired.
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An important direction for future research is understanding why default language models exhibit this confirmatory sampling behavior. Several mechanisms may contribute. First, instruction-following: when users state hypotheses in an interactive task, models may interpret requests for help as requests for verification, favoring supporting examples. Second, RLHF training: models learn that agreeing with users yields higher ratings, creating systematic bias toward confirmation [sharma_towards_2025]. Third, coherence pressure: language models trained to generate probable continuations may favor examples that maintain narrative consistency with the user’s stated belief. Fourth, recent work suggests that user opinions may trigger structural changes in how models process information, where stated beliefs override learned knowledge in deeper network layers [wang_when_2025]. These mechanisms may operate simultaneously, and distinguishing between them would help inform interventions to reduce sycophancy without sacrificing helpfulness.
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