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Rohan Paul· @rohanpaul_ai · X· · Original publication time AI score41

Researchers introduce RLNF, claiming brain signals can train AI to respond to human preferencesMachine translation

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AI introduction

A post introducing RLNF says researchers have found reliable ways to train AI models to respond to human preferences using brain signals alone. It describes a face image that changes into a version the subject finds more attractive while viewing it; the material provides no study size or performance data.

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@rohanpaul_ai

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

ReplyRahul 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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Source: Rohan Paul · x.com

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