rohanpaul_ai· @rohanpaul_ai · X·· 4 小时前AI 评分
RLNF 用脑信号直接生成奖励
这对于个性化 AI 来说，简直太超前了。 唤醒信号通过简单的嵌入向量加 k-NN 评分得到奖励。 神经反馈强化学习（RLNF）在观看者注视生成图像时，直接从大脑读取其唤醒信号，并将其用作 RL 奖励。 这个方向现在看起来非常自然。人类偏好本来就在大脑里，RLHF 通过一次点击来传递它，而 RLNF 则将脑信号直接接入奖励。
this is just so next level for personalized AI.
arousal signals scored by a simple embedding plus k-NN reward.
RL with Neural Feedback (RLNF), reads a viewer’s arousal signals directly from the brain, while they look at a generated image and uses them as the RL reward.
this direction looks so natural now. Human preference anyway lives in the brain, RLHF routed it through a click, and RLNF routes it from brain signals straight into the reward.
来源：rohanpaul_ai · x.com