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Rohan Paul shares RL with Neural Feedback for training image models on brain signals

AIRohan Paul shares a post introducing RL with Neural Feedback (RLNF), which trains AI models to respond to human preferences using brain signals. The post says an image model adjusts a face toward what the viewer finds more attractive, without ratings, clicks or prompts.
Rohan PaulVerified on X
@rohanpaul_ai
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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.

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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Rohan Paul · x.comPublished · added here

Original title: this is truly next level stuff.

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Multimodal AIImage generationPapers & research

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#Controversial