用 Jev 平台重建价值 140 万美元的镜像神经元数字模型
神经动力学实验室用 Jev 模拟群体压力下的攻击性传染，通过 COLLECT/ANCHOR/FLUSH/MUTATE/RUN 流程定位到维持正义感的抑制性神经元失稳是道德防线崩溃的关键。
Laboratory of Neurodynamics, with the support of researchers from Berkeley, recreated a digital model of mirror neurons worth $1,400,000 using the Jev platform. The task was to understand why people with high moral barriers suddenly participate in bullying. The virtual ensemble accurately simulates infection with external aggression under conditions of group pressure. > COLLECT - each simulation agent is trained on micro-interval facial expression tracks and oxytocin levels with millisecond precision, with empathy background noise preserved without filtering. > ANCHOR - digital markers are integrated into the medial prefrontal cortex of each agent, recording the instantaneous exchange of dorsal cortex signals. > FLUSH - the neurotransmitter background of the dopamine system is left active, although standard simulators zero out hormonal surges for the sake of calculation stability. > MUTATE - the base matrix is supplemented with conformity algorithms and crowd de-individuation patterns. > RUN - each conflict scenario is run through millions of iterations of microsocial friction with increasing external pressure. The global personality profile of the participants remained almost unchanged. A static slice before and after the experiment showed the exact same value structure. The Jev platform caught one micro-level of inhibitory neurons, maintained by a personal commitment to justice, which lost stability. Consciousness used this internal brake as a fulcrum. Without it, the resistance threshold collapses, and the brain automatically copies someone else's destructive behavior, accepting it as the norm. Conventional sociological modeling treats morality as a constant to save computing power. This compromise erases the exact fragile zone where human choice breaks down. The mechanism shows why traditional ethics training is powerless in a crowd. This calculation cycle cost only $4,800 in machine time for a single private laboratory, compared to the academic cost of similar multifactor slices reaching up to $1,400,000. The detail that a model considers insignificant noise for the sake of speed decides everything at a critical moment.
这条是引用着另一条写的：x.com/damir_akaza/status/2102336521235820836