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Beautiful idea, an autoencoder must represent everything without hiding if is to recover the original data closely. So it trains a model to verbalize embeddings
by visarga 5mo ago
Beautiful idea, an autoencoder must represent everything without hiding if is to recover the original data closely. So it trains a model to verbalize embeddings well. This reveals what we want to know about the model (such as when it thinks it is being tested, or other hidden thoughts).
- sobellian 5mo agoIt could just invent its own secret language embedded into English akin to steganography. The explanation would not lose information but would remain uninterpretable by humans