Because the dataset uses the same participants as the cNeuromod project, models can potentially be trained on all its visual data. Note that cNeuromod-THINGS uses central fixation, while several other cNeuromod recordings use natural viewing (see criteria).
Российского юношу из многодетной семьи раздели догола и забили до смерти08:50，这一点在电影中也有详细论述
How my side project got banned from the internet A little piece about dealing with security providers and clearing my side project's reputation after a false positive flagging.，这一点在电影中也有详细论述
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.