elvis· @omarsar0 · X·· 2 小时前AI 评分48
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这个研究方向简直太疯狂了。就像是直接来自大脑的偏好数据。 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。 我以前做过脑机接口（BCI）研究，所以我觉得这类研究方向能让所有这些技术（RL、BCI、智能体等）相互叠加放大。我认为这类工作真的有可能大规模释放真正的个性化智能。
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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