The consequences of sycophancy extend beyond isolated errors. [rathje_sycophantic_2025] found that brief conversations with sycophantic AI increased attitude extremity and certainty while inflating users’ self-perceptions: participants rated themselves as more intelligent, empathetic, and “better than average” after interacting with agreeable models. Paradoxically, users rated sycophantic responses as higher quality and expressed greater willingness to use them again. [cheng_sycophantic_2025] documented similar patterns in interpersonal domains where sycophantic AI reduced participants’ willingness to repair conflicts while increasing their conviction of being in the right. Here too, participants trusted sycophantic models more and rated them as less biased. This creates what [rathje_sycophantic_2025] referred to as a “perverse incentive” where users seek out the very systems that distort their reasoning.
The MCB chain acts somewhat like a linked list, but it is not a linked list. Instead of using some kind of a link pointer to the next item in the chain, the chain structure is implied by the location and size of the memory blocks. The memory blocks can only be processed in strictly ascending order and there cannot be any gaps between them.
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就像杨植麟曾经说过的，“好奇心驱动我们探索AGI的上限在哪”。但这份好奇心，也需要一个相对自由的土壤才能生长。
func (opt *Option) ArgUint16Var(val *uint16) error