omarsar0· @omarsar0 · X·· 6 小时前AI 评分
RLNF：用脑信号训练 AI 模型
简直疯狂的研究方向。就好像偏好数据直接来自大脑。 他们提出带神经反馈的 RL（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，所以感觉这正是那种所有这些技术（RL、BCI、智能体等）都能相互叠加的研究方向。我认为这类工作真的可能大规模释放真正的个人智能。
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.
来源：omarsar0 · x.com