AI 导读
这个研究方向太疯狂了。就像偏好数据直接来自大脑。 他们提出了神经反馈强化学习（RLNF）。它用从脑信号中解码出的偏好来训练AI模型。 我以前做过BCI研究，所以我觉得这类研究方向能让这些技术（RL、BCI、智能体等）相互叠加。我认为这类工作真的能在规模上释放真正的个人智能。
正文
Just insane research direction. It's like preference data straight from the brain.
They introduce RL with Neural Feedback (RLNF). It trains AI models on preferences decoded from brain signals.
I did BCI research back in the day, so this feels like the kind of research direction where all these technologies (RL, BCI, agents, etc.) can compound. I think this kind of work could really unleash true personal intelligence at scale.
Introducing RL with Neural Feedback (RLNF). We have found reliable ways to train AI models to respond to human preferences purely from brain signals. The example below is a picture of a face that self-transforms into a more attractive version for the subject as they are looking at it.在 X 查看被引用的帖子
来源：elvis · x.com