What proves that the generative approach is wrong is oodles of empirical results showing the superiority of joint embedding architectures over generative ones (based on reconstruction) for natural sensor data (e.g. images and video). It's not just for self-supervised learning
Joint Embedding Architectures Outperform Generative Models for Sensor Data
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