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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分41

研究者提出 RLNF,称可用脑信号训练 AI 响应人的偏好

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AI 导读

一则介绍 RLNF 的帖子称,研究者找到仅凭脑信号训练 AI 模型响应人类偏好的可靠方法。帖子举例称,一张人脸图像会在受试者观看时自行变成其认为更有吸引力的版本;材料没有给出实验规模或效果数据。

原帖引用 · 原文

@rohanpaul_ai

@rahulchhabra07 Khosla knows something about betting on the next big thing, this is huge.

回复Rahul Chhabra@rahulchhabra07
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.
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来源:Rohan Paul · x.com

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