Valence (and arousal) also seem relatively easy to learn even for current models e.g. The Perceptual Primacy of Feeling: Affectless machine vision models robustly predict human visual arousal, valence, and aesthetics; Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers. And abstract concepts like ‘human flourishing’ could be relatively easy to learn even just from text e.g. Language is more abstract than you think, or, why aren’t languages more iconic?; Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.
Valence (and arousal) also seem relatively easy to learn even for current models e.g. The Perceptual Primacy of Feeling: Affectless machine vision models robustly predict human visual arousal, valence, and aesthetics; Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers. And abstract concepts like ‘human flourishing’ could be relatively easy to learn even just from text e.g. Language is more abstract than you think, or, why aren’t languages more iconic?; Artificial neural network language models align neurally and behaviorally with humans even after a developmentally realistic amount of training.