RadarAI· X：Rohan Paul (@rohanpaul_ai)·· 4 小时前AI 评分38
RLNF：用脑信号训练AI图像模型
AI 导读
RL with Neural Feedback（RLNF）提出用脑信号训练AI图像模型，模型读取用户看图时的大脑反应，学习其个人偏好并修改图片以获得更高分数，全程无需用户打分、点击或写提示词。示例中一张人脸图片会在受试者注视时自动转变为对其更具吸引力的版本。
正文 · 原文
Rohan Paul· @rohanpaul_ai · X·2026-10-30 06:25· 35 分钟前AI 评分49
AI 导读
这真是下一个级别的东西。 RL with Neural Feedback（RLNF，神经反馈强化学习） 一个AI图像模型通过读取你看图时大脑的反应，学习你个人觉得有吸引力的东西，然后修改图片以获得更高的分数，全程无需你打分、点击或写提示词。
正文 · 原文
this is truly next level stuff.
RL with Neural Feedback (RLNF)
An AI image model learns what you personally find attractive by reading your brain’s reaction as you look, then changes the picture to score higher, with no ratings, clicks or prompts from you.
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：Rohan Paul · x.com
来源：RadarAI · aihot.news