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

RLNF 演示用脑信号调整人脸图像

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AI 导读

RLNF 的介绍者称,他们找到仅凭脑信号训练 AI 模型响应个人偏好的方法。展示案例中,受试者观看人脸图片时,图片会自行变化,趋向其认为更有吸引力的版本;材料未提供实验规模或独立验证结果。

原帖引用 · 原文

@rohanpaul_ai

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. https://t.co/FzbepNthA3

引用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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