Brain signals as reward: AI faces tuned to viewer preferences in real time
ChrisGPT · x · 2026-10-30
A demo uses brain signals as feedback to steer AI-generated faces toward a viewer's preferences — no pre-collected preference dataset needed ('RLHF from neural feedback before GTA 6'). Developer Rahul Chhabra frames it as a new scaling axis for personalized responses, arguably more impactful for adoption than raw intelligence. The reward model uses embeddings and k-nearest neighbors.
Related event: RLNF Trains AI Directly from Human Brain Signals(4 posts)→
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